Skill Development in a Theoretical Framework for Early Academic Researchers

 Skill development is a crucial aspect of the academic journey, especially for early-stage researchers who are navigating the complexities of their fields. A theoretical framework that encompasses skill development provides a structured approach to understanding how various competencies can be cultivated, assessed, and applied in academic research. Theoretical perspectives on skill development include Constructivist Learning Theory, situated Learning Theory, and Competency-Based Education. Constructivist learning theory emphasizes the importance of active engagement with new information, integration with existing knowledge, and application in practical scenarios. This approach emphasizes the importance of mentorship, collaboration, and active participation in research activities. Situated learning theory suggests that learning occurs within a specific context and is inherently tied to the social and physical environment. For early researchers, engaging in collaborative projects, attending conferences, and participating in research groups can provide rich contexts for skill acquisition.

Competency-based education focuses on the mastery of skills and competencies rather than the mere completion of coursework. In the context of early academic research, this framework encourages researchers to identify specific skills necessary for their fields and seek out opportunities to develop and demonstrate these competencies. Assessment methods, such as portfolios or performance evaluations, can help track progress and ensure that researchers are adequately prepared for their academic careers. Practical applications of the framework include skill assessment and identification, targeted training and workshops, and mentorship and collaboration. Self-assessment helps early academic researchers identify their current skill levels and areas for improvement, while targeted training programs and workshops address the specific needs of early researchers. Mentorship relationships with experienced researchers offer guidance, insights, and constructive feedback, enhancing the learning process and exposing researchers to diverse methodologies and perspectives. In conclusion, a theoretical framework for skill development in early academic researchers is essential for fostering a supportive environment that encourages continuous learning and growth. By prioritizing skill assessment, targeted training, and mentorship, academic institutions can empower early researchers to thrive in their academic pursuits.

Celebrating the Vibrant Festival of Colors: Holi

 By Shashikant Nishant Sharma

Holi, the festival of colors, is one of the most exuberant and joyful celebrations in India, marking the arrival of spring and the triumph of good over evil. This ancient Hindu festival, observed primarily in India and Nepal, is a time when people come together to drench each other in colored powders and water, dance to lively music, indulge in traditional sweets, and spread love and happiness. Let’s delve into the rich tapestry of traditions and significance that make Holi such a cherished and colorful event.

Historical and Cultural Significance:

The roots of Holi can be traced back to Hindu mythology, particularly to the legend of Prahlada and Hiranyakashipu. Prahlada, a devout follower of Lord Vishnu, was the son of the demon king Hiranyakashipu, who sought to eliminate his son due to his allegiance to Vishnu. Holika, the sister of Hiranyakashipu, had a boon that made her immune to fire. Together, they devised a plan to kill Prahlada by burning him. However, through divine intervention, Prahlada emerged unscathed while Holika perished in the fire. This event symbolizes the victory of good over evil, and the name “Holi” is derived from “Holika.”

Another popular myth associated with Holi is the divine love of Radha and Krishna. According to legend, Lord Krishna, known for his mischievous nature, complained to his mother about Radha’s fair complexion compared to his dark skin. Playfully, his mother suggested he apply color on Radha’s face to change her complexion. Thus, the tradition of applying colors during Holi is believed to have originated from this playful act of Lord Krishna with his beloved Radha.

Celebrations and Rituals:

Holi is celebrated with great zeal and fervor throughout India and among the Indian diaspora worldwide. The festivities usually begin on the evening of the full moon day in the Hindu month of Phalguna (February-March) and continue the next day.

1. Holika Dahan (Bonfire): The celebrations kick off with the ritual of Holika Dahan, where bonfires are lit to commemorate the burning of Holika, symbolizing the victory of good over evil. People gather around the bonfire, sing and dance, and perform rituals to ward off evil spirits.

2. Rangwali Holi (Playing with Colors): The main event of Holi involves smearing and splashing colored powders (gulal) and colored water (abir) on friends, family, and even strangers. People roam the streets armed with water guns (pichkaris) and bags of colored powder, drenching each other in hues of red, green, blue, yellow, and purple. It’s a time when social barriers are temporarily forgotten, and people of all ages and backgrounds come together to revel in the spirit of unity and joy.

3. Gujiya and Other Delicacies: No Indian festival is complete without its share of mouthwatering delicacies. Holi is synonymous with indulging in traditional sweets like gujiya (sweet dumplings), malpua (pancakes), mathri (crispy snacks), and thandai (a refreshing milk-based drink infused with spices and nuts, sometimes laced with bhang, a derivative of cannabis, especially in certain regions of India).

4. Music and Dance: Holi is also a time for vibrant music, dance, and cultural performances. Communities organize folk dances, drum circles, and musical gatherings where participants sway to the beats of traditional Holi songs and Bollywood tunes.

5. Forgiveness and Reconciliation: Holi is not just about revelry; it’s also a time for forgiveness and reconciliation. People use this occasion to mend broken relationships, bury the hatchet, and start afresh with renewed warmth and affection.

Modern Interpretations and Global Appeal:

In recent years, Holi has transcended its cultural boundaries and gained popularity beyond India. Its message of joy, love, and inclusivity resonates with people from diverse backgrounds, leading to the celebration of Holi in various parts of the world. From vibrant street parties in cities like New York and London to organized events in cultural hubs, Holi has become a global festival of colors, attracting people of all nationalities and faiths.

Conclusion:

Holi, with its kaleidoscope of colors, transcendent joy, and rich cultural heritage, remains a cherished festival that embodies the spirit of togetherness and celebration. Beyond its religious and mythological significance, Holi is a celebration of life, love, and the eternal quest for happiness. As we immerse ourselves in the colors of Holi, let us also embrace its underlying message of unity, compassion, and harmony, spreading joy and warmth to all those around us.

References

Crooke, W. (1914). The Holi: A vernal festival of the Hindus. Folklore25(1), 55-83.

Ebeling, K. (2009). Holi, an Indian festival, and its reflection in English media. Die Ordnung des Standard und die Differenzierung der Diskurse: Akten des 41. Linguistischen Kolloquiums in Mannheim 200624, 107.

Gardner, J. J., & Deepanjali, L. (2012). Impact of ‘Holi’on the environment, a scientific study. Arch. Appl. Sci. Res4, 1403-1410.

Jackson, R. (1976). Holi in North India and in an English city: Some adaptations and anomalies. New Community5(3), 203-210.

Randhawa, A. Holi festival showcases Indian culture on campus.

Unlocking Potential: The Importance of Internships in Career Development

 By Shashikant Nishant Sharma 

In the competitive landscape of today’s job market, gaining practical experience has become more crucial than ever. Internships stand as invaluable opportunities for individuals to bridge the gap between theoretical knowledge and real-world application. Beyond merely padding a resume, internships serve as transformative experiences that shape careers and futures. Let’s delve into why internships are so vital in the journey of professional growth.

1. Hands-On Learning:

Internships offer hands-on experience that classrooms often can’t replicate. Whether in a corporate setting, research lab, or non-profit organization, interns have the chance to apply their theoretical knowledge to actual projects, tasks, and challenges. This practical exposure not only enhances their understanding but also equips them with skills that are highly valued by employers.

2. Skill Development:

Internships provide a platform for skill development across various domains. From communication and teamwork to problem-solving and adaptability, interns are immersed in an environment that demands multifaceted skills. Moreover, they often have the opportunity to learn industry-specific tools, technologies, and best practices, giving them a competitive edge in their chosen field.

3. Networking Opportunities:

The connections made during an internship can be invaluable. Interns interact with professionals in their field, building relationships that could potentially lead to mentorship, job opportunities, or valuable recommendations in the future. Networking within the industry not only enhances career prospects but also fosters a sense of community and support.

4. Clarifying Career Goals:

Internships serve as a testing ground for career aspirations. Many students enter internships with a general idea of their desired career path but may find their interests evolving as they gain practical experience. Internships offer a low-risk environment to explore different roles, industries, and work cultures, helping individuals clarify their career goals and make informed decisions about their future.

5. Resume Enhancement:

A solid internship experience can significantly bolster a resume. Employers often seek candidates with relevant work experience, and internships provide exactly that. Even if the internship is not directly related to the desired job, the transferable skills and demonstrated initiative are highly valued by recruiters. Internship experiences can set candidates apart in a competitive job market, increasing their chances of landing desirable positions.

6. Confidence Building:

Internships are not just about acquiring technical skills; they also contribute to personal growth. Successfully navigating the challenges of an internship instills confidence in interns, validating their abilities and preparing them for future professional endeavors. Overcoming obstacles, receiving constructive feedback, and achieving tangible results during an internship can significantly boost self-assurance and resilience.

7. Pathway to Employment:

For many, internships serve as a pathway to full-time employment. Employers often use internships as a recruitment tool, preferring to hire candidates who have already demonstrated their capabilities and fit within the organizational culture. Interns who perform well and exhibit a strong work ethic are more likely to be offered permanent positions, making internships a strategic investment in one’s future career.

In conclusion, internships play a pivotal role in shaping the next generation of professionals. They offer a dynamic learning environment where individuals can develop skills, clarify career goals, build networks, and gain the confidence needed to thrive in today’s workforce. Embracing the opportunities presented by internships is not only advantageous for individual career growth but also contributes to a more skilled and adaptable workforce overall. Therefore, students and aspiring professionals alike should actively seek out and make the most of internship opportunities available to them.

References

Binder, J. F., Baguley, T., Crook, C., & Miller, F. (2015). The academic value of internships: Benefits across disciplines and student backgrounds. Contemporary Educational Psychology41, 73-82.

Bukaliya, R. (2012). The potential benefits and challenges of internship programmes in an ODL institution: A case for the Zimbabwe Open University. International journal on new trends in education and their implications3(1), 118-133.

Davis, J., Steen, T., & Rubin, S. (1987). A study of the internship experience. Journal of Experiential Education10(2), 22-24.

Metzger, S. V. (2002). Employers’ perceptions of the benefits of college internship programs. University of Idaho.

Narayanan, V. K., Olk, P. M., & Fukami, C. V. (2010). Determinants of internship effectiveness: An exploratory model. Academy of Management Learning & Education9(1), 61-80.

Sharma, S. N. Enhancing Safety Analysis with Surrogate Methods: A Focus on Uncontrolled Traffic Intersections.

Sharma, S. N. The Complex Reality of Delhi’s Slums: A Closer Look at Urban Informality.

Wolinsky-Nahmias, Y., & Auerbach, A. H. (2022). Evaluating the design and benefits of internship programs. Journal of Political Science Education18(4), 584-604.

The Art of Writing: A Creative Odyssey

By Shashikant Nishant Sharma

 Writing is more than just words on paper; it’s an art form that allows individuals to express their thoughts, emotions, and imagination in a unique and captivating way. The art of writing is a dynamic and evolving process that involves creativity, discipline, and a deep understanding of language. In this article, we will explore the key elements of the art of writing and how aspiring writers can hone their craft.

  1. Embrace Creativity:
    At the heart of the art of writing is creativity. Allow your imagination to roam freely, breaking free from the constraints of reality. Create vivid worlds, intriguing characters, and compelling narratives that transport your readers to new realms. Embracing creativity means being open to unconventional ideas and finding inspiration in the mundane and extraordinary alike.

  2. Master the Craft of Language:
    Language is the painter’s palette, and words are the colors. Mastering the craft of language involves understanding the nuances of grammar, syntax, and vocabulary. Develop a rich and varied vocabulary to paint detailed images with your words. Experiment with different writing styles, tones, and voices to discover your unique literary fingerprint.

  3. Find Your Voice:
    Every writer has a distinct voice that sets them apart. It’s the tone, style, and perspective that make your writing uniquely yours. Finding your voice requires self-discovery and a willingness to be authentic in your expression. Don’t be afraid to experiment until you discover the voice that feels most natural and resonant with your inner self.

  4. Cultivate Discipline:
    While creativity fuels the art of writing, discipline provides the structure. Set aside dedicated time for writing, establish goals, and stay committed to your craft. Discipline is the force that turns fleeting ideas into tangible stories. Whether it’s a daily writing routine or a structured timeline for completing projects, cultivating discipline is essential for consistent and meaningful output.

  5. Edit and Revise:
    The first draft is just the beginning. The true art of writing involves the meticulous process of editing and revising. Be prepared to scrutinize your work, refine your language, and polish your prose. Editing is where the raw material transforms into a polished masterpiece. Embrace feedback from others and be open to making necessary changes to enhance the overall impact of your writing.

  6. Emotionally Connect with Your Audience:
    Great writing is not just about conveying information; it’s about evoking emotions. Whether it’s laughter, tears, or contemplation, strive to emotionally connect with your audience. Infuse your writing with authenticity and vulnerability, allowing readers to relate to the human experience within your words.

Conclusion:
The art of writing is a dynamic and deeply personal journey. It involves a harmonious blend of creativity, language mastery, self-discovery, discipline, and emotional connection. Aspiring writers should approach their craft with a sense of wonder and a commitment to continuous growth. Through the art of writing, individuals have the power to inspire, challenge, and transport readers to new worlds, making it a truly transformative and timeless form of expression.

References

Raimes, A. (1998). Teaching writing. Annual review of applied linguistics18, 142-167.

Sharma, S. N. How to Write a Grant Proposal in an Effective Manner to get Projects.

Weigle, S. C. (2002). Assessing writing. Cambridge University Press.


Top Fully Funded PhD and Postdoctoral Programs in Environment and Sustainable Development

By Shashikant Nishant Sharma

 As the global community continues to grapple with pressing environmental challenges, the need for qualified professionals in the field of environment and sustainable development becomes increasingly crucial. Pursuing a PhD or postdoctoral program in this field not only offers individuals the opportunity to contribute meaningfully to addressing environmental issues but also opens doors to diverse career paths in academia, research, policy, and more. In this article, we will explore some of the top fully funded PhD and postdoctoral programs in environment and sustainable development.

  1. Fulbright Scholar Program

The Fulbright Scholar Program is renowned for providing fully funded opportunities for scholars, including those in the field of environment and sustainable development. This program promotes international collaboration and cultural exchange, allowing scholars to conduct research, teach, or pursue advanced studies in the United States and other countries.

  1. European Environmental Agency (EEA) PhD Studentship Program

The EEA offers fully funded PhD studentships in collaboration with various universities across Europe. These programs focus on a wide range of environmental topics, including climate change, biodiversity conservation, and sustainable resource management. Scholars benefit from access to cutting-edge research facilities and a collaborative network of experts.

  1. Swiss Federal Institute of Technology (ETH Zurich) – Doctoral Programs

ETH Zurich is a prestigious institution known for its commitment to sustainability and environmental research. The university offers fully funded doctoral programs in environmental science and engineering, providing students with the opportunity to work on interdisciplinary projects and contribute to sustainable development.

  1. MIT Environmental Solutions Initiative – Postdoctoral Fellowships

The Massachusetts Institute of Technology (MIT) Environmental Solutions Initiative offers postdoctoral fellowships for researchers interested in addressing global environmental challenges. This program provides funding and mentorship to scholars working on innovative and impactful projects related to environmental sustainability.

  1. Australian Research Council (ARC) Centre of Excellence for Environmental Decisions – Postdoctoral Fellowships

The ARC Centre of Excellence for Environmental Decisions in Australia provides postdoctoral fellowships for researchers in the field of environmental science and sustainable development. This program supports projects aimed at enhancing decision-making processes for biodiversity conservation and ecosystem management.

  1. Chinese Academy of Sciences (CAS) – International Postdoctoral Exchange Fellowship Program

The CAS International Postdoctoral Exchange Fellowship Program encourages international collaboration in environmental research. This fully funded program allows postdoctoral researchers to work with leading Chinese institutions on projects related to environmental protection, climate change, and sustainable development.

  1. United Nations University – PhD Fellowships in Sustainability Science

The United Nations University offers fully funded PhD fellowships in Sustainability Science, focusing on research that addresses global sustainability challenges. Fellows have the opportunity to work with leading experts and contribute to policy-relevant research in areas such as climate change, sustainable development, and natural resource management.

Conclusion

Embarking on a fully funded PhD or postdoctoral program in environment and sustainable development opens up exciting opportunities for researchers to make meaningful contributions to the global effort to address environmental challenges. These programs not only provide financial support but also offer access to cutting-edge research facilities, expert mentorship, and a network of like-minded professionals. As the demand for skilled individuals in this field continues to grow, these top programs play a crucial role in nurturing the next generation of leaders and innovators committed to creating a more sustainable and resilient world.

References

Åkerlind*, G. S. (2005). Postdoctoral researchers: roles, functions and career prospects. Higher Education Research & Development24(1), 21-40.

Fairman, J. A., Giordano, N. A., McCauley, K., & Villarruel, A. (2021). Invitational summit: Re-envisioning research focused PHD programs of the future. Journal of Professional Nursing37(1), 221-227.

Ginther, D. K., & Heggeness, M. L. (2020). Administrative discretion in scientific funding: Evidence from a prestigious postdoctoral training program✰. Research policy49(4), 103953.

Gould, J. (2015). How to build a better PhD. Nature528(7580), 22.

Universities offering doctoral and post doctoral courses in health economics and sustainable development. (2024, January 29). Edupub.org. https://articles.edupub.org/2024/01/universities-offering-doctoral-and-post.html




The Relationship Between Job Satisfaction and Discipline Employee Work

By Bella Desi Kusumawardani & Sendi Satriadi

 

ABSTRACT

This study aims to determine the effect of the relationship between quality This study aims to analyze the relationship between job satisfaction and employee work discipline. The method used is a quantitative method with the subject of 130 operator employees or workers who directly hold the smooth running of machines in the company who work in production, maintenance, and utility, both men and women. The job satisfaction scale in this study was compiled based on aspects of job satisfaction according to Jewel and Siegall (1998) and the work discipline scale was prepared based on aspects of work discipline according to Amriyani (2004).  The data analysis technique used is Karl Pearson’s Product moment correlation with a bivariate correlation test. Based on the results of the analysis, an r of 0.301 was obtained with p < 0.05 which means that the hypothesis is accepted. The results show that there is a positive relationship between job satisfaction and employee discipline where the higher the employee's job satisfaction, the better the employee's work discipline and vice versa the lower the employee's job satisfaction, the worse the employee's work discipline.

 


 

Keywords : Job Satisfaction, Work Discipline, Employee

 

Background of the Problem

            In this era of globalization, many foreign companies invest their money or capital in Indonesia in the form of companies such as textiles, garments, residential property, and others. These companies compete with each other to produce the best quality so that buyers feel satisfied and the company gets a big profit and the company is looking for employees or employees who are experts in their fields. The number of companies that exist at this time many employees go in and out of one company to another, it is due to the lack of expertise they have, income that is not sufficient for their needs, work atmosphere that is not conducive or uncomfortable and so on. The element of human resources is needed and the most important thing in a company is human resources or employees because if there are no human resources then the company will not run smoothly and if the selection of human resources is not done correctly in selecting employees then the company will not achieve its targets and the goals set by the company can be achieved. According to Ayu (2012) in every company there is usually a separate section that manages the field of employment and is commonly referred to as the personnel section, therefore it is the task of the personnel section which is responsible from recruiting employees to development in improving the quality of work to the dismissal of employees.

Employees are company assets because if there are no employees, the goods to be produced will not be finished, therefore employees who are serious in working will produce good quality goods. According to Ayu (2012) labour or employees are very important resources. Without a skilled and professional workforce, it is impossible for company activities to run well and smoothly. This can be seen from the company’s activities in achieving goals depending on the role of the labour used.

            In every company all parts play an important role for the continuation of every job from one part to another is very influential and related, if one of the machines stops then the company cannot run smoothly as usual. There are several parts that are very important and influential in a company, namely the production section. For every company, production employees are a resource that is no less important than other company resources. In fact, production employees are in control of the production process. In other words, whether or not a production process runs smoothly will depend on the production employees (Muhaimin, 2004).

If an employee works with a pleasant feeling and there is satisfaction in him accompanied by a work environment, family friends and safe and comfortable facilities that he gets, the employee will work well. According to Siagian (in Widodo, 2015) argues that job satisfaction is a person’s perspective, both positive and negative about his job. The company will progress, develop rapidly and achieve the goals that have been set is greatly influenced by the quality of the people or employees who work in it.

To strengthen the evidence that there is a relationship between job satisfaction and employee work discipline, according to Muhaimin (2004), in a study conducted at PT Primarindo Asia Infrastructure Tbk Bandung, a company engaged in the production of goods in the form of shoes, and the results of the study there is a significant positive relationship between employee job satisfaction and employee work discipline of shawing computer operator employees in production. The higher the employee job satisfaction, the better the employee work discipline and vice versa the lower the employee job satisfaction, the worse the employee work discipline.

Employee job satisfaction is influenced by needs, how far these needs have been met or not met. Therefore, the author is interested in conducting a study entitled “The relationship between job satisfaction and employee discipline at PT Kondobo Textindo” in order to take more recent data and in a different place, namely at a textile company located in the Subang-West Java area with the same subject, namely operators, by taking random from several employees from each section, namely production, maintenance and utility.

 

Research objectives

 This study aims to examine the relationship between job satisfaction and employee discipline at PT Kondobo Textindo.

 

Definition of Job Satisfaction

Sutrisno (2009) states that job satisfaction is an employee’s attitude towards work related to work situations, cooperation between employees, rewards received at work, and matters concerning physical and psychological factors. This attitude towards work is the result of a number of specific attitudes of individuals and individual social relationships outside of work, giving rise to a general attitude of individuals towards the work they face.

 

Aspects of Job Satisfaction 

According to Jewell and Siegall (1998), there are several aspects in measuring job satisfaction: 

a.   Psychological aspects

Related to the psychology of employees including interest, work peace, attitude towards work, talent and skills.

b.  Physical aspects 

Related to the physical condition of the work environment and the physical condition of employees, including the type of work, work time arrangements, rest time arrangements, room conditions, air temperature, lighting, air exchange, employee health conditions and age. 

c.  Social aspects 

Relates to social interactions, both between fellow employees and superiors and between employees of different types of work and relationships with family members.

d.  Financial aspect

Relates to the security and welfare of employees, which includes the system and amount of salary, social security, benefits, facilities and promotions.

 

Definition of Work Discipline

According to Rivai (2004) work discipline is a tool used by managers to communicate with employees so that they are willing to change a behaviour and as an effort to increase a person’s awareness and willingness to obey all company regulations and applicable social norms.

 

Aspects of Work Discipline Measurement 

Amriyani (2004) concluded that the aspects of work discipline include: 

a.  Obedience to orders

Compliance occurs when a person does what he is told. 

b.  Working time

Working time as the period of time during which the worker concerned must be present to start work and he may leave work. 

c.  Compliance with rules

A set of rules that the group in the organisation has may be a pressure for a person or employee to comply.

d.  Careful use of uniforms or work tools

Every employee, especially in a work environment, receives a uniform every two years.

 

Definition of Employee

According to MacMillan (in Rachmawati, 2008) employees are people who are paid regularly to work for someone or a company.

Employees are people who have obligations and rights, which arise as a consequence of the employment relationship, namely the relationship between employees and employers or companies in terms of employment. Both parties have entered into an agreement to enter into an agreement, either written or oral, either individually or jointly regarding work according to Mulianto (2011).

 

The Relationship Between Job Satisfaction and Employee Work Discipline

According to Ayu (2012) labour or employees are very important resources. Without a skilled and professional workforce, it is impossible for company activities to run well and smoothly. This can be seen from the company’s activities in achieving goals that are highly dependent on the role of the workforce used.

 

Hypothesis

The hypothesis in this study is that there is a positive relationship between job satisfaction and employee discipline at PT Kondobo Textindo, the higher the job satisfaction, the higher the work discipline of employees and vice versa, the lower the job satisfaction, the lower the work discipline of employees.

 

Normality Test

For the normality test, the SPSS 20.0 for windows programme tool is used, namely the Kolmogorov-Smirnov test to test the normality of the aitem distribution.

Based on normality testing on the work discipline variable has a significance of 0.000 and on the job satisfaction variable has a significance of 0.200. Then it can be said that the distribution of items on the work discipline scale is abnormally distributed because it is less than 0.05 and job satisfaction is normally distributed because it is more than 0.05. The test results can be seen in table 7 below:

 

Linearity Test

Based on linearity testing on work discipline variables with job satisfaction has a significance of 0.001 (p <0.05). This shows that there is a linear (direct) relationship between the variable and the variable job satisfaction in operator employees, because the significance value of the two variables is less than 0.05.

 

 

Hypothesis Test

Based on the results of the correlation analysis, it is found that there is a significant relationship between work discipline and job satisfaction with a significance value of 0.001 (p < 0.05), and the correlation coefficient (R) value of 0.301 which indicates that there is a positive relationship between work discipline and job satisfaction because the R value is close to +1. Thus, the hypothesis in this study is accepted, that there is indeed a relationship between job satisfaction and employee discipline.

 

 

 

Statistical Description 

Based on the results of descriptive statistics, it is known that the average score of work discipline of 130 operator employees is 69.88 with a standard deviation of 6.676, and the average score of job satisfaction is 116.98 with a standard deviation of 9.652. The maximum and minimum scores for work discipline are 88 and 58, and the maximum and minimum scores for job satisfaction are 142 and 91.

 

Work discipline 

The number of well-discriminated items on the work discipline scale is 21 items using a score criterion of 1 to 4, this means the smallest score is 1 and the largest score is 4. The minimum total score is the smallest score multiplied by the number of well-discriminated items (1×21=21), then it can also be known that the maximum total score is the largest score multiplied by the number of well-discriminated items (4×21=84), so that a range of 21 to 84 is obtained with a distribution distance of 84-21=63, thus the standard deviation is 63÷6=10.5. score 6 is obtained from a normal distribution curve which is divided into 6 regions, namely 3 positive areas and 3 negative areas. After getting the standard deviation, then find the hypothetical mean by multiplying the middle score on the scale score by the number of well-discriminated items (2.5×21=52.5). The score of 2.5 is obtained from the median or middle score of the score criteria used between 1 and 4, namely 2.5.

 

Job satisfaction 

The number of well-discriminated items on the job satisfaction scale is 31 items using the score criteria of 1 to 4, this means that the smallest score is 1 and the largest score is 4. The minimum total score is the smallest score multiplied by the number of well-discriminated items (1×31=31), then it can also be known that the maximum total score is the largest score multiplied by the number of well-discriminated items (4×31=124), so that a range of 31 to 124 is obtained with a distribution distance of 124-31=93, thus the standard deviation is 93÷6=15.5. The score of 6 is obtained from the normal distribution curve which is divided into 6 regions, namely 3 positive regions and 3 negative regions. After getting the standard deviation, then find the hypothetical mean by multiplying the middle score on the scale score by the number of well-discriminated items (2.5×31=77.5). The score of 2.5 is obtained from the median or middle score of the score criteria used between 1 and 4, namely 2.5.

 

Discussion

This study aims to empirically test the relationship between job satisfaction and employee discipline at PT Kondobo Textindo. Based on the results of the analysis that has been carried out, it shows that the hypothesis that has been formulated is accepted, which means that there is a positive relationship between job satisfaction and employee discipline at PT Kondobo Textindo. The existence of a relationship or accepted hypothesis can be seen in the bivariate correlation table above with a significance level of 0.001 (p <0.05), so the alternative hypothesis is accepted. The positive relationship between job satisfaction and employee discipline at PT Kondobo Textindo (0.301), shows that the higher the job satisfaction, the higher the work discipline.

 

Conclusion

Based on the results of the study, it can be seen that the hypothesis proposed in this study is accepted, namely that there is a very significant relationship between job satisfaction and employee discipline at PT Kondobo Textindo which is positive. This means that the higher the job satisfaction, the higher the work discipline of employees. Conversely, the lower the level of job satisfaction, the lower the work discipline of employees at PT Kondobo Textindo.

Based on descriptive analysis, it is known that most of the samples have very high work discipline. This can be possible because employees have job satisfaction and good working time as a period of time when the worker concerned must be present to start work and compliance with regulations between employees and superiors.

 

References

 

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Survey on Real Time Hand Gestures Recognition Using Convolutional Neural Network

by Kirti Sahu & Ashish Kumar Khare

 

ABSTRACT

Gesture Recognition is one of the most important part of research today. Many new algorithms are being developed recently in today‟s upcoming technologies. In the day to day life, mobile devices like phones or tablets are very common and being widely used among all people of world. These devices are connected with high speed networks and provide strong communications. These devices are often an enormous help    for    the people    that aren’t ready to communicate properly and even in emergency conditions.    For    a    disabled one    that isn’t able to speak     or an     individual who      speaks special language, these devices are often a boon as understanding, translating and speaking systems for these peopleThis chapter   discusses transportable android based hand sign recognition system which may be employed by disabled people. This paper presents comprehensive review on vision-basedhand gesture recognition, with a stress on    dynamic   hand   gestures.   First, quick introduction   of the   essential concepts and the classification of hand gesture recognition techniques are given. Then, variety of popular related technologies and interesting applications are reviewed. Finally, we give some discussion on the present challenges   and   open    questions during this area and mean an inventory of possible directions for future work.

Keywords: Python, NumPy, TensorFlow, Tflearn, Keras, Convolutional Neural Network, Training, Classification.

 

INTRODUCTION

Sign Language may be a well-structured code gesture,    every     gesture     has     meaning assigned thereto. Sign Language is that the only means of communication for deaf people. With the advancement of science and technology many techniques are developed not only to attenuate the matter of deaf people but also to implement it in several fields. But if the pc are often programmed in such how that it can translate signing to text format, the difference between the traditional people and therefore the deaf community can be minimized. We have proposed asystem which is in a position to acknowledge the varied alphabets of Indian signing for Human-Computer interaction giving more accurate results minimum of possible time. It will not only benefit the deaf and dumb people of India but also might be utilized in various applications within the technology field.

 

LITERATURE SURVEY

The contributions of various scholars are studied for survey and analysing the merits and demerits in order to enhance the consequences for making the system work better.

 

In Paper [1], Abhishek B, Kanya Krishi, Meghana M, Mohammed Daaniyaal, Anupama H S have proposed a system on Hand Gesture Recognition using Machine Learning Algorithms. The main focus of this is to recognize the human gestures using mathematical algorithms for human computer interaction. Only a few modes of Human-Computer Interaction exist, they are: through keyboard, mouse, touch screens etc. Each of these devices has their own limitations when it comes to adapting more versatile hardware in computers. Gesture recognition is one among the essential techniques to create user-friendly interfaces. Usually gestures are often originated from any bodily motion orstate, but commonly originate from the face or hand. Gesture recognition enables users to interact with the devices without physically touching them. This paper describes how hand gestures are trained to perform certain actions like switching pages, scrolling up or down in a page. The importance of gesture recognition lies in building efficient human-machine interaction. 

 

In paper [2], Jay Prakash, Uma Kant Gautam has proposed a Hand Gesture Recognition using Computer Vision Based Approach, Hand Gesture Recognition, Human Computer Interface (HCI), Instrumented Glove, Non-Verbal language. Hand Gesture Recognition System works like this : first user gives input to the system by making hand gestures, then system scanned the gestures by using cam or sensor and deducts it into signal and passes the program, now its program responsibility to first accept the signal then examine what is the input given using gestures, then check if there is any corresponding data is saved into dataset then result will be obtained in the output device.

 

In paper [3], Amit Chaurasia and Harshul Shire have proposed a system SNCHAR: Sign language Character Recognition using Keras, TensorFlow, Scikit, and Pyttsx3. This project “SNCHAR: Sign language Character Recognition” system is a python-based application. It uses live video as input, and predicts the letters the user is gesturing in the live feed. It captures the gestures, and recognizes the area of hand gesture skin colour intensity object. It separates the gesture area from the rest of the frame, and feeds that part to their trained model. This pre-trained model, using the hand gesture as input predicts a value that represents an alphabet. This alphabet is displayed on the screen. User can hear the text predicted on the screen by pressing “P” on the keyboard. The predicted text can be erased if required by using “Z” from the keyboard. At one hand, the project is capable of capturing the live feed and converting the gestures into the corresponding alphabets. 

In Paper [4], D. Nagajyothi, M. Srilatha and V. Jyothi have proposed a Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm. In this system, the detection of skin colour and region segmentation is performed during the segmentation stage. RGB colour space, cbr colour space, HS colour space, Normalized RGB HSV are skin colour segmentation techniques. From these values the skin colour is detected. The RGB values lies in between a boundary for skin pixels and it varies for non-skin pixels. With this RGB ratio they  can identify whether the skin pixel belong to the skin region or not. Skin region detection algorithm is applied for each gesture and it is applied to skin region to find the colour. This system not only recognizes gesture indications it develops speech system. From the results they have obtained accuracy up to 80%.

 

In paper [5], T. Chandraleka, Balasubramanian R, Balasubramanian S, Karthikeyan S and Jayaraj R have proposed a system on Hand Gesture Robot Car using ADXL 335. In this System, Arduino, Microcontroller, Transmitter, Receiver are used. The outer frame work was done using tyres and supporting board is fixed to it and the tyres are each other with steel road of suitable capacity and which the tyres are connected to the board using wires and also the motors are fixed to the tyres for rotation purpose. Radio signals are transmitted using transmitter module Without any physical connection, the embedded system is used to interact with each other. After successful completion the working loads were improving the project. Even the mounting of ultrasonic sensor and other sensors for the complete information about the place where the car is being operated & make it useful for the society. The most important feature is to interact with the application from the distance object without any physical contact.

 

In paper [6], Sankara Gomathi.S, Amutha. S, Sridhar.G and Jayaprakasan.M have proposed a system Interpretation of Formal Semantics from Hand Gesture to Text using Proficient Contour Tracing Technique. In this system, Contour Tracing, Hand gesture, SVM, Feature Extraction, TOF, IoT are used. In this project, semantics are classified by support vector machine with trained datasets. The recognised hand gestures are displayed as text. Their main objective is to resolve the problem of facing interviewer for vocally impaired individuals. This helps them to build their confidence and eradicate their inferiority complex compared to other methods. In the interpretation of framework, conversion of sign to text, Image captured from camera is binaries, noise is expelled, boundaries of finger is detected and corresponding text is displayed as an output to the receiver.

 

In paper [7], Abdul Khader, Muhammad Thouseef, Akbar Ali and Ahamad Irfan have proposed a system on Efficient Gesture based Language Recognition using SVM and Lloyd‟s Algorithm. In this work, they have actualized a presumable exact strategy to perceive static gestures or image frames from a live camera or video data. As Hand Gesture Recognition is identified with two noteworthy fields of image processing and AI (machine learning). APIs that can be utilized to implement different strategies and methods in these fields. 

 

In paper [8], Rajesh George  Rajan  and  M  Judith Leo have proposed Comprehensive Analysis on Sign Language Recognition System. The human- machine interaction is developed through  the gesture recognition system. In the previous years, most of the researchers had done their research in static hand gesture recognition. Some works have been reported for recognition of dynamic hand gesture.   Also,   facial   expressions aren’t included in most  generally used  systems. Developing systems which are capable of recognizing both hand and facial gestures may be a key challenge during this area. In this paper they have discussed different sign language recognition approaches using different acquisition methods. By using the different data acquisition methods like sensor-based gloves, Kinect, leap motion controller etc. 

 

In paper [9], S. Shivashankara and S. Srinath have proposed a system on American Sign Language Recognition System using Bounding Box and Palm FEATURES Extraction Techniques. Bounding Box Technique, Canny Edge Detector, CIE Colour Model are used. This research paper exhibits an inventive framework, to achieve the transliteration of 24 static alphabets (Letter J and Z not included as they involve hand movement) of American Sign Language into English text and achieved an average recognition rate of 98.21% which is the best in recent (papers published in year 2017, and 2018) existing traditional work carried out. This paper also summarizes the system architecture, state of art, data collection for the proposed work, proposed system design, and the detailed results evaluation by showing comparative graphical depiction of the proposed technique with the existing techniques average recognition rate and also depicts the average gesture recognition rate chart by considering various factors like background complexity, background colour, location, time, distance, angle, mobile camera resolution, and illumination. This paper also highlights on face detection and edge detection technique, and also the various hand / palm features extraction techniques.

 

In paper [10], Shreyas Rajan, Rahul Nagarajan, Akash Kumar Sahoo, M. Gowtham Sethupati have proposed a system on Interpretation and Translation of American Sign Language for Hearing Impaired Individuals using Image Processing. This project mainly focuses on the development of software that can convert American Sign Language to Communicative English Language and vice-versa. This is accomplished via Image- Processing. The latter is a system that does a few activities on a picture, to acquire an improved  picture or to extricate some valuable data from it. Image processing in this project is done by using MATLAB, software by MathWorks. The latter is programmed in a way that it captures the live image of the hand gesture. The captured gestures are put under the spotlight by being distinctively coloured in contrast with the black background. 

 

In paper [11], S. Chandrasekhar and N.N. Mhala have proposed a system on High-speed Integration of Kinect V2 Data for Identification of Hand Gesture in Real time Movements. Hand gesture recognition is extremely critical for human-PC connection. This manuscript presents a narrative constant strategy for human-hand gesture recognition. There a framework for the discovery of quick gesture movement by utilizing a direct indicator of hand developments utilizing information combination technique. In their system, the hand area is removed from the foundation with the foundation subtraction strategy. At long last, the framework has been approved by methods for the Kinect v2 application actualized. The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared, and the average time using data fusion method is 63ms. By using fast integration of data, the average time is 45ms. The time taken for recognition  of hand gesture is been improved. 

 

In paper [12], E. Padmalatha, S. Sailekya, R. Ravinder Reddy, Ch. Anil Krishna  and  K. Divyarsha have proposed system  on  Sign Language Recognition. There are many recognized sign language standards that have been defined such as ASL (American Sign Language), IPSL (Indo Pakistan Sign Language), etc., which define what sign means what. ASL is the most widely used sign language by the deaf and  dumb  community.The deaf and dumb use sign language to communicate among themselves with the knowledge of the standard      sign      language.      But      they      cant communicate with the remainder of the planet as most of the people are unaware of the existence and therefore the usage of the signing. This method aims to remove this communication barrier between the disabled and the rest of the world by recognizing and translating the hand gestures and convert it into speech. The CNN model fetched 99.4% accuracy while training and testing with the dataset. 

In paper [13], L. Latha and M. Kaviya have proposed system on A Real Time System for Two Ways Communication of Hearing and Speech Impaired People. The gestures shown by the impaired people will be captured and the corresponding voice            output is produced together way and   therefore    the before the voice input by normal people is taken and the periodic gesture are going to be showed them as another.   This   system    uses    RASPBERRY    PI kit because the hardware, where a Pi camera, LCD display, Speaker and   Microphone are   going   to be attached alongside it. First the image acquisition is carried where it captures the input  image  and  then image pre-processing is done to extract the foreground image from the background, then  feature extraction iscarried out to extract the necessary details. 

 

In paper [14], Suthagar S., K. S. Tamilselvan, P. Balakumar, B. Rajalakshmi and C. Roshini have proposed a system on Translation of Sign Language for Deaf and Dumb People. Their project objective isto analyse and translate the sign language that is hand gestures into text and voice. For this process, Realtime Image made by deafmute people is captured and it is given as input to the pre-processor. Then, feature extraction process by using algorithm and classification by using SVM (support Vector Machine) can be done. After the text of corresponding sign has been produced. The obtained output is converted into voice with use of MATLAB. Thus, hand  gestures made by deaf-mute people has been analysed and translated into text and voice for  better communication. In this proposed model an attempt has been made to design a system which can recognize the sign language of alphabets and number. 

 

In paper [15], V. Padmanabhan, M. Sornalatha have proposed system for dumb people Hand gesture recognition and voice conversion system. In this system, Gesture, Flex sensor, accelerometer, microcontroller, TTS are used. This project aims to lower the communication gap between the mute community and additionally the quality world. The projected methodology interprets language into speech. The system overcomes the required time difficulties of dumb people and improves their manner. Compared with existing system  the projected arrangement is compact and is feasible to hold to any places. This system converts the language in associate passing voice that’swell explicable by blind and ancient people.  


 

Table 1: Comparison on Various Methods Used in Hand Gestures

S. No

Paper

Technique

Result

Issues

 

1

Hand Gesture Recognition using Machine Learning Algorithms

Gesture Recognition, Human Computer Interaction, User- friendly Interface.

Each of these devices has their own limitations when it comes to adapting more versatile hardware in computers.

They are interpreted as gestures by the computer to perform actions like switching the pages, scrolling up or down the page. The system is built using OpenCV and TensorFlow object

detector.

 

2

Hand Gesture Recognition

Computer Vision Based Approach, Hand Gesture Recognition, Human Computer Interface (HCI), Instrumented Glove, Non-Verbal language

Hand Gesture Recognition System works like this: first user give input to the system by making hand gestures, then system scanned the gestures by using cam or sensor and deducts it into signal and passes the program, now its program responsibility to first

accept the signal

Examine what is the input given using gestures, then check if there is any corresponding data is saved into dataset then they will get their result.

 

3

SNCHAR: Sign

language Character Recognition

Keras, TensorFlow, Scikit, and Pyttsx3

Different images were tested and found that the new technique of TensorFlow was found to show some

results.

Moreover, there were difficulties to attain a 57% accuracy.

 

4

Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm

HSV colour model, Pattern Recognition, Tracking and Segmentation.

The RGB values lies in between a boundary for skin pixels and it varies for non-skin pixels. With this RGB ratio they can identify whether the skin pixel belong to the skin region or not. Skin region detection algorithm is applied for each gesture and it is applied to skin region to find the colour.

The issue is the system was not able to achieve the proper image capturing and colour detection problems.

 

 

 

5

Interpretation and Translation of American Sign Language for Hearing Impaired Individuals using Image Processing

Feature Extraction, Edge Detection, Segmentation

Their system translates the detected gesture into actions such as opening websites and launchingapplications like VLC Player and PowerPoint. The dynamic gesture is used to shuffle through the slides in presentation. Our results show that an intuitive HCI can be achieved with minimum hardware requirements.

System that did not utilize any markers, hence making it more user friendly and low cost. In this gesture recognition system, they have aimed to provide gestures, covering almost all aspects of HCI such as system functionalities, launching of applications and opening some popular websites.

 

6

High speed Integration of Kinect V2 Data for Identification of Hand Gesture inReal timeMovements

Gesture Recognition, Human Computer Interaction, Kinect V2 system

The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared, and the average time using data fusion method is

63ms

Outcome of the module is inappropriate.

 

7

Sign Language Recognition

SVM, CNN, HSV

colour model

A dataset containing all the gestures are present. Each gesture folder consists of 2400 images which is used for training and testing the model. There are 47 gestures but more can be added by the users.

As the hand segmentation is dependent on the colour of the hand, if the objects in the background match the skin colour, it could distort the binarized threshold image. Due to similar gestures that exist in ASL, the final accuracy of classification depends on the environment

and image processing techniques.

 

8

 SVM, MATLAB

Hand detection, Segmentation and Hand Tracking

An attempt has been made to design a system which can recognize the sign language of alphabets and number. 11 different features from image has been extracted to make a feature vector database. SVM and neural network is used for classifying the different sign- language    word   and hence for recognition.

The result obtained for the system is not appropriate and could recognise the images properly.

 

9

Hand Gesture Recognition and Voice conversion system for dumb people

Gesture, Flex Sensor, TTS, Microcontroller

The     language interprets into some text kind displayed on the digital display screen, to facilitate

the deaf people.

The main issue is recognition algorithm is reduced to 60% – 80%.

 

CONCLUSION AND FUTURE WORK 

In this project, we present hand tracking and segmentation algorithm that is both accurate and computationally efficient. The importance of gesture recognition lies in building efficient human- machine interaction. This paper describes how the implementation of the system is completed based upon the     pictures captured, and       the waythey’re interpreted as gestures by the pc to perform actions like switching the pages, scrolling up or down the page. They were able to create robust gesture recognition system that did not utilize any markers, hence making it more user friendly and low cost. In this gesture recognition system, we have aimed to provide gestures, covering almost all aspects of HCI such as system functionalities, launching of applications and opening some popular websites. In future we would like to improve the accuracy further and add more gestures to implement more functions. Finally, we target to extend our domain scenarios and apply our tracking mechanism into variety of hardware including digital TV and mobile devices. We also aim to extend this mechanism to range of users including disabled users.

 



 

REFERENCES

[1]   Abhishek B, Kanya Krishi, Meghana M, Mohammed Daaniyaal, Anupama H S “Hand Gesture Recognition using Machine Learning Algorithms” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1, May 2019.

 

[2]   Jay Prakash, Uma Kant Gautam “Hand Gesture Recognition”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-7 Issue-6C, April 2019.

 

[3]   Amit Chaurasia, Harshul Shire, “SNCHAR: Sign language Character Recognition”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3, September 2019.

 

[4]   D. Nagajyothi, M. Srilatha, V. Jyothi “Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019

 

[5]   T. Chandraleka, Balasubramanian R, Balasubramanian S, Karthikeyan S, Jayaraj R “Hand Gesture Robot Car using ADXL 335” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

 

 

[6]   Sankara Gomathi.S, Amutha. S, Sridhar.G, Jayaprakasan.M “Interpretation of Formal Semantics from Hand Gesture to Text using Proficient Contour Tracing Technique” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-8, Issue-2S11, September 2019.

 

[7]   Abdul Khader, Muhammad Thouseef, Akbar Ali, Ahamad Irfan “Efficient Gesture based Language Recognition using SVM and Lloyd‟s Algorithm” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S3, July 2019.

 

[8]   Rajesh George Rajan, M Judith Leo “A comprehensive Analysis on Sign Language Recognition System” International Journal of RecentTechnology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-7, Issue-6, March 2019.

 

[9]   S. Shivashankara, S. Srinath “An American Sign Language Recognition System using Bounding Box and Palm FEATURES Extraction Techniques” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018.

 

[10] Shreyas Rajan, Rahul Nagarajan, Akash Kumar Sahoo, M. Gowtham Sethupati “Interpretation and Translation of American Sign Language for Hearing Impaired Individuals using Image Processing” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

 

[11] S. Chandrasekhar, N.N. Mhala “High-speed Integration of Kinect V2 Data for Identification of Hand Gesture in Real time Movements” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

 

[12] E. Padmalatha, S. Sailekya, R. Ravinder Reddy, Ch. Anil Krishna, K. Divyarsha “Sign Language Recognition” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-8 Issue-3, September2019.

 

[13] L. LATHA, M. KAVIYA “A Real Time System for Two Ways Communication of Hearing and Speech Impaired People” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-7 Issue-4S2, December 2018.

 

[14] Suthagar S., K. S. Tamilselvan, P. Balakumar, B. Rajalakshmi, C. Roshini “Translation of Sign Language for Deaf and Dumb People” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5, January 2020.

 

[15] V. Padmanabhan, M. Sornalatha “Hand gesture recognition and voice conversion system for dumb people” International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014.

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Artificial Intelligence in Logistics

by P. Sireesha & Shehnaz Sultana

 

 

Abstract

 Logistics is one area where AI has started to have an effect. It is now a must-have part of any company’s next software system. The advent of new and developing technologies like artificial intelligence, machine learning, and block chain has changed the disjointed and disorganized logistics industry. A few of the advancements that these technologies have brought to the logistics business are autonomous trucks, predictive analysis, and smart highways. Artificial intelligence and machine learning may be quite helpful in the supply chain when it comes to expediting processes, preventing human mistake, saving time, etc.

                              

Keywords: Artificial Intelligence, Machine Learning, Logistics, Technology, Supply Chain

 

1.     Introduction to Artificial Intelligence

 

Artificial Intelligence is the intelligence of machines which is totally opposite to the intelligence of humans or animals. AI applications include advanced web search engines (like Google search), recommendation systems (like YouTube, Amazon and Netflix), understanding human speeches (like Alexa), generative and creative tools (like Snap Chat). AI is the fastest technology which gives reply to a chat message in milliseconds where as it takes more time for humans to type and send a chat message.

 

2.     Meaning of AI in Logistic Companies

Logistic organizations can benefit from a wide range of capabilities including autonomous equipment and predictive analytics. AI has mostly been used in the logistics industry for four business functions namely: service operations, product and service development, marketing and sales and supply chain management

Logistics services are services which helps in the movement of goods in the supply chain, such as transportation of materials to companies, warehousing, and delivery to customers. Logistics services are very broad, so it grouped into several levels, such as 3PL, 4PL, and 5PL..

Logistics services are a very important part of supply chain management and play an important role in helping product flow control, effective planning, and efficient management of storing goods and information.

Therefore, to increase efficiency and get a better customer experience, a company should work with an experienced and trusted logistics company

7 Concepts in Logistics

7 R is a concept that is very well known and very important to be applied in the logistics activities in a company. The 7 R concept also helps companies to plan the best logistics management to deal effectively with the complexity of services. Here is the concept of 7 R in logistics.

1. Correct Product.

In the process of designing, producing, and selecting products, a company must look at the potential problems that can arise during the transportation process. Products when designed properly will greatly facilitate the logistics process. Ensuring standardization of product dimensions throughout the design process will make packaging, warehousing, product handling, and transportation much easier.

2. Corerct Customer (The Right Customer).

The customer is the core component and the focus of the supply chain process. Getting the right customers must go through several processes, such as identifying the customers to target. To get the characteristics of targeted customers, you can do market research.

Market research will give you insight into who you should target and help you stick to your budget. With good market research, a company can choose the most effective marketing strategy to reach its target customers.

3. Correct Price (Right Price).

Determining product prices is a very important part of a company because the right product price will ensure the company’s profits and business continuity. Using a good system to store and update product prices also helps to be successful in logistics management services.

4. Correct Quantity.

Producing and shipping the right amount of product is also important in logistics. The number of products is less than demand will result in customers not getting the product at the right time. However, the excess quantity will also increase warehousing costs and other related costs. So the production and delivery of products must be balanced with the demand for cost-efficiency.

5. Correct Condition.

The right conditions in logistics speak of safe delivery. Product quality must be maintained until it reaches the customer. The distribution strategy must be arranged in such a way as to maintain product quality without increasing costs.

6. Correct Time.

Time is an important factor in logistics activities. Even if the other processes are performed accurately, the whole process can fail if the timing is not right. Long-term customer and business satisfaction are only possible if products are delivered to customers on time.

7. Correct Place.

A good delivery system with location tracking is the most appropriate solution to overcome this. So the company can track the location of the product accurately and send it to the right place.

Companies providing logistic services in India

1.     TVS Supply Chain Solutions Limited

2.      Mahindra Logistics

3.     . Ekart Logistics

4.      Blue Dart

5.      DTDC

6.      DHL

7.     Delhivery

8.     FedEx

9.     Xpressbees

 

Role of AI in Logistic Sector

The role of AI in logistics is ultimately to smooth  operations across order processing, inventory management, supply chain and distribution in order to offer an increase customer experience. 

It can be used to do routine tasks in order to reduce costs, improve efficiency and provide better customer service. AI in e commerce logistics also provides real-time tracking and monitoring of parcels, which helps  the overall customer experience and helps consumer satisfaction. Additionally, AI improves data analysis, allowing businesses to make smart decisions and improve operations. 

This is due to the fact that AI is able to process and filter large amounts of data, which then can be used to create forecasts for future developments in intralogistics. Placing certain items in a certain order or selecting picking routes that minimise travel time are just two of many ways to optimise warehouse operations. 

Overall, the use of AI in ecommerce logistics is becoming increasingly essential in today’s fast-paced business environment, however, research shows that not everyone in the logistics space is ready to adopt AI based strategies.

·      Saving time: AI plays a crucial role in saving time, lowering expenses, enhancing productivity and improving accuracy. It helps us to save time and money by automating a variety of time consuming operations and assisting with demand forecasts. AI aids in logistics, which helps to reduce shipping costs, which in turn helps to generate more profits. AI allows computers to gather, analyze and make informed decisions in a matter of seconds saving time for humans.

·      Driverless Vehicles: AI has introduced driverless vehicles to increase the delivery procedure significantly

·      Robotics: Robotics is interconnected with intelligent machines which is an enhanced application of AI that processes logistics management

 

3.     Applications of AI in Logistics

·      Planning: Logistics planning needs extensive preparation that involves coordinating with suppliers, customers and various company units. Machine learning solutions can help with planning since they are effective at scenario analysis and numerical analytics both of which are important for planning

·      Forecasting Demand

i)      Organizations may leverage real-time data in their forecasting attempts thanks to AI capabilities

ii)    Manufacturers can better manage the number of deployed trucks to local warehouses and decrease operational expenses by improving their workforce planning with increased demand prediction accuracy

iii)  Local warehouses/retailers can cut storage expenses

iv)   Customers are less likely to experience stock outs that reduce customer satisfaction

·      Supply Chain Management: Artificial Intelligence assists firm in analyzing demand in real-time so that supply planning parameters can be updated dynamically to optimize supply chain low

·      Warehouse Automation: Only 12% of organizations are employing AI technology in their warehouses, according to the 2020 MHI Annual Industry Report, but that number is predicted to rise to above 60% in the next six years

·      Robots in Warehouses: Another AI technology that is being heavily invested in to improve supply chain management is Warehouse Robots. Between 2017 and 2022, the warehouse robots industry is predicted to increase at a CAGR of 11.8% with a market value of USD 2.28 billion

 

4.     Types of Artificial Intelligence

 

Artificial Intelligence can be divided into two types: (A) Type 1 (AI Based on Capability) and (B) Type 2 (AI Based on Functionality)

A.   Type 1 (AI Based on Capability)

i)      Weak AI / Narrow AI: An example of narrow artificial intelligence is the ability to intelligently carry out a certain task. Narrow AI is the most popular type of AI that is currently accessible. Narrow AI examples include:AI-powered chess game, speech recognition, image recognition, self-driving automobiles, and recommendations for purchases on online stores

ii)    General AI: An intelligence known as general artificial intelligence (AI) is capable of handling any intellectual work as effectively as a human. The goal of general artificial intelligence is to create a system that is capable of thinking like a person on its own. The goal of current global research is to create machines with general artificial intelligence.

iii)  Super AI: Super AI refers to a system’s intelligence level where computers are able to outperform humans at any task and have cognitive qualities. It is an AI-produced result. Super AI’s capacity for independent thought, reasoning, problem-solving, judgment, planning, learning, and communication are some of its primary traits.

B.    Type 2 (AI Based on Functionality)

i)      Reactive Machines: Artificial intelligence starts with robots that are purely reactive. These AI systems don’t keep track of memories or past encounters for use in the future. Google’s Alpha Go and IBM’s Deep Blue system are two instances of reactive machines.

ii)    Limited Memory: Machines with limited memory can temporarily store certain data or memories. These devices have a certain amount of time to use stored data. Example: Autonomous vehicles using a constrained memory system. These vehicles can store information to help them traverse the road, such as the speed limit, distance from other vehicles, and recent speeds of adjacent cars.

iii)  Theory of Mind: Mental theory AI should be able to communicate specifically like humans and comprehend human emotions and beliefs. Although these AI devices have not yet been constructed, researchers are working very hard to make advancements in this area.

iv)   Self-Awareness: Self-Recognition Future Artificial Intelligence is known as AI. These machines will possess consciousness, feelings, and self-awareness in addition to being extremely intelligent. These devices will surpass human intelligence. Self-awareness artificial intelligence is still a theoretical idea that does not exist in reality.

5.     Benefits of AI in Logistic Industries

·      Better Customer Services: People in the logistic industries mostly depend on reliable service providers. The greatest transport service is offered to firms and their clients by artificial intelligence technology instruments since they are efficient and in style in the business sector. Customers trust AI because it offers them dependable, individualized service. AI assists clients based on their past purchasing experiences.

·      Shipment and Delivery: AI technology tools are used by the logistics sector to improve shipment and delivery productivity. Artificial Intelligence (AI) techniques are sophisticated enough to track traffic on roadways and save gasoline. It determines the route and free time to improve customer service with the aid of the route optimization technique.

·      Marketing and Sales Optimization: Drone usage is becoming more and more popular in the logistics sector. AI offers solid technologies that can quickly improve the delivery process. Drones are utilized to safely deliver various medications and other commodities.

·      Back-Office Automation: The logistic sectors, which rely on AI to maintain workforce, email, billing, and other operational services, are the foundation of the technology’s improved benefits.

·      Smart Roads: In the logistics industry, smart roads can be of great assistance since they can minimize delays in product delivery and meet customer service requirements. Solar panels are used on smart roads to prevent ice buildup in the winter. This uses AI to support driverless vehicles for quick goods delivery.

 

6.     Advantages of Artificial Intelligence

·      It replies within milliseconds

·      It is most beneficial technology for everyone

·      It can solve arbitrary problems

·      It knows all the languages and it even translates the language into other languages

·      It has the higher knowledge that even a human being cannot imagine

 

7.     Disadvantages of Artificial Intelligence

·      Most of the human beings are addicted and dependable on the AI and not preferring to use their brain and knowledge what they have

·      People are addicted to AI in the same way that they are addicted to smart phones. The upcoming generations may totally depend on AI and Robots for their works

8.     Conclusion

AI in Logistics is a rapidly growing field that has the potential to change supply chain management. By understanding its benefits, challenges and practices for implementation business can improve efficiencies and reduce costs. As technology advances at an ever increasing rate, companies must stay ahead by investing in AI solutions specifically to their needs, if they want to remain competitive in today’s global market.

 

References:

Klumpp, M. (2018). Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements. International Journal of Logistics Research and Applications21(3), 224-242.


Pandian, A. P. (2019). Artificial intelligence application in smart warehousing environment for automated logistics. Journal of Artificial Intelligence1(02), 63-72.


Soltani, Z. K. (2021). The Applications of Artificial Intelligence in Logistics and Supply Chain. Turkish Journal of Computer and Mathematics Education (TURCOMAT)12(13), 4488-4499.


Woschank, M., Rauch, E., & Zsifkovits, H. (2020). A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics. Sustainability12(9), 3760.


Zhang, Y. (2019, October). The application of artificial intelligence in logistics and express delivery. In Journal of Physics: Conference Series (Vol. 1325, No. 1, p. 012085). IOP Publishing.

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River Narmada in Madhya Pradesh and Heavy Metal Poisoning of Fish

by Sangeeta Shrivastava 

 

 

Abstract: 

As the biggest west-flowing river in Madhya Pradesh, the Narmada (also spelt Rewa) is also one of India’s three holiest rivers. In the Maikal hillocks, which are located in the eastern highlands of the Vidhyas Mountains, the river’s source is said to be at a height of 1051 metres, according to the Gazetteer of Hoshangabad (1979). In the Shahdol district of Madhya Pradesh, it is close to Amarkantak. When thinking about fish farming, it’s important to examine the water’s physical, chemical, and biological properties. To effectively manage fish populations, one must have a thorough grasp of water quality. Researchers in the Narmada River took water samples from four different locations and analysed them for physicochemical characteristics and heavy metal content. The following variables were recorded: thermal, pH, salinity, electrical conductivity, chemical oxygen demand, and biological oxygen demand. In every one of the locations tested, Mn and Zn were found. Interestingly, levels were much higher in three of these places compared to the World Health Organization’s advised limit of less than 0.500 mg/L for manganese. The amounts of Cr and Cd were greater than the norms in two of the three samples. All of the samples tested negative for lead, and in two of the locations, the copper levels were also below the acceptable range. The following categories were used to categorise the physicochemical properties that were studied: Various factors that make up environmental conditions include temperature (C), pH (ranging from 5.8 to 8.2), biochemical oxygen demand (BOD) (0.3-20 mg/L), total dissolved solids (TDS) (37-249) (26-29 mg/L), electrical conductivity (EC) (73.67-498 µS/cm), total hardness (0.8-5.7 mg/L), salinity (0.03-0.22 psu), and chemical oxygen demand (COD) (2.9-9.7 mg/L). Most of these metrics were within what the World Health Organisation considers to be acceptable ranges. The results imply that high metal loads in water may impact people and fish in the long term, hence it is critical to regularly assess water quality.

 

 

Keywords: Heavy metals, Physicochemical analysis, Chemical oxygen demand, Biochemical oxygen demand, Narmada River, Bioaccumulation

 

·                INTRODUCTION

The Narmada River valley has been home to humans for aeons. Several texts from ancient India describe the Narmada as a sacred river. This river is mentioned in a number of folktales and musical works. Along the banks of the Narmada River have developed a wide variety of cultures and lifestyles, from those of the independent Aadivasi people who live in the forests to those of non-tribal rural groups. Several human-caused activities are leading to a steady decline in the aquatic biodiversity of the Narmada River. The danger that freshwater biodiversity presents to all of Earth’s ecosystems is a typical argument against it.

At 9 billion strong, human countries were struggling to fulfil even the most fundamental demands by mid-century (FAO, 2018). Since fisheries and aquaculture are closely linked to several Sustainable Development Goals (SDGs), prioritising them is essential in any effort to address this worldwide problem. Sustainable Development Agenda Goal 14 focuses on taking care of the world’s oceans and seas in an eco-friendly way. Director general Jose Graziano da Silva of the Food and Agriculture Organisation (FAO) asserts that the fishing and aquaculture sector is crucial to realising the FAO’s goal of a world free of hunger and malnutrition (2018). Since 1961, the global population has not kept pace with the increase in fish consumption. The Food and Agriculture Organisation (FAO) projects a more than 20% surge in fish consumption by the year 2030. Regardless of the global fish supply, Asia’s food supply would be jeopardised since fewer people would consume fish per person. An increase in interest in aquaculture is being seen throughout the country, including in the Indian state of Madhya Pradesh. Across the country, this trend is more apparent in the north and south. According to Amenyogbe et al. (2018), subsistence fishermen often use semiintensive and extensive techniques to raise fish in artificial settings such reservoirs, rivers, dugouts, and earthen dams. Some farmers keep their cattle in floating cages, while others use concrete tanks or clay rivers. Fish rely on the readily available grain bran. Bran is a component that is found in many grains, such as maize, wheat, and rice. Sandre et al. (2017) and M’balaka et al. (2012) state that the main factors influencing the production of fish in aquaculture include biotic factors such as sex, age, and genetic variation, and abiotic factors such as water chemistry, temperature, photoperiod, and oxygen level. Abiotic factors that affect water quality include things like temperature, biological oxygen demand (BOD), dissolved oxygen (DO), colour, clarity, turbidity, carbon dioxide (CO2), pH, alkalinity, hardness, unionised ammonia, nitrite, nitrate, and plankton population. Understanding these factors is critical for the efficient administration of the Narmada River. Since water is the natural environment of farmed fish, keeping it clean is crucial to their health and production (Mandal et al., 2017; Oluyemi et al., 2010). Water quality is the biggest issue with fish farming, according to Boyd (1990). Keeping tabs on various water quality indicators is crucial for fish welfare (Jaeger and Aubin 2018; Sehar et al. 2014). Heat, acidity, pH, CO2, ammonia, hardness, nitrites, total solids in solution, and oxygen in solution are some of the many factors that have a role. Any of these characteristics might have an impact on farmed fish health in certain contexts (James, 2000). While alkalinity and hardness tend to remain relatively constant, dissolved oxygen and pH tend to change more. Changing one set of circumstances may influence the emergence of another. For example, alkalinity and hardness are two factors that impact pH (Klontz, 1993). Fish populations might be negatively impacted by human-introduced contaminants such as metals and pesticides (Biney, 1986). Heavy metals in sediments, water, and food may be absorbed by fish, according to recent studies (Adeeye, 1996). At safe levels, certain heavy metals have practical use, while others pose serious health risks to humans and aquatic organisms. Consider how zinc is fundamental to the cytoplasm’s proper operation. In low zinc concentrations, fish develop and grow more slowly, while in high zinc concentrations, they die. Sehar et al. (2014) found that zinc overdose may lead to skin irritation, nausea, vomiting, pancreatic injury, and alterations in protein metabolism. The great majority of aquaculturists rely on water from natural sources such springs, rivers, and lakes, however a small number use artificial techniques. In an ideal setting, most farms use river management methods to breed zoo fish, according to Eze and Ogbaran (2010). In order to identify the best water quality criteria for fish farming, the researchers compared the results of investigations on heavy metal pollution on the Narmada River with other companies’ findings.

·       MATERIAL AND METHODS STUDY AREA

As the biggest west-flowing river in Madhya Pradesh, the Narmada (also spelt Rewa) is also one of India’s three holiest rivers. In the Maikal hillocks, which are located in the eastern highlands of the Vidhyas mountains, the river’s source is said to be at a height of 1051 metres, according to the Gazetteer of Hoshangabad (1979). In the Shahdol district of Madhya Pradesh, it is close to Amarkantak. The basin encompasses a considerable amount of land, including a large portion of Gujarat (12%), a tiny portion of Maharashtra (2%), and 86% of Madhya Pradesh. Gujarat is where the Narmada River meets the Gulf of Cambay. Though Gujarat receives the lion’s share of the residual flow, over 90% of it flows to M. P. It passes into Maharashtra for a short distance. Because of the abundance of nutrients in this soil, staple crops such as corn, yams and cocoyams grow well.

·       SAMPLING

We took water samples at random from four different locations and analysed the results over three weeks. Two or three samples were collected from each site. We took the readings in a controlled lab environment as well as out in the field.

·       PHYSICOCHEMICAL ANALYSIS

At the location, we used a Hanna HI 9829 multiparameter metre to measure the total dissolved solids (DDS), pH, conductivity, salinity, and temperature of each sample. When measuring each parameter, we adhered according to the manufacturer’s instructions. Turbidity, biological oxygen demand, and chemical oxygen demand were determined in accordance with the methods published by APHA (1992).

·       HEAVY METAL ANALYSIS

Following the standard procedures described in previous studies (Sehar et al., 2014; Mensah et al., 2016), the materials were digested. Finally, the concentrations of manganese, cadmium, copper, chromium, lead, and zinc were determined using atomic absorption spectroscopy (AAS). The proportion of HNO3 to water in a 250 mL beaker is 5 mL to 100 mL according to the conventional formula. By heating the combination, the volume was reduced to around 20 ml. The digestion process was extended by heating and adding HNO3 to guarantee a clear solution. Chilling and filtering the solution was followed by a cautious transfer to a 50 ml volumetric flask. In cases where the sample could not be located, a blank solution was prepared by following the same procedure. The atomic absorption spectrometer NovAA 400 P from Analytik Jena was used for a repeat measurement to determine the concentrations and standard deviations of lead, cadmium, manganese, copper, and zinc.

·       RESULTS AND DISCUSSION

Harmful metals According to Sehar et al. (2014), there are a variety of natural and human-induced processes that discharge metals into water bodies. Some metals are necessary for life, yet they are also harmful to the environment. Because of their toxicity and bioaccumulation potential in water sources, these metals are of utmost concern (Soylak and Erdogan, 2006). Omega-3 fatty acids and other polyunsaturated fats, as well as copper, iron, and zinc, are just a few of the important elements found in fish, which is why it is so popular (Sehar et al., 2014). It is very important to ensure that fish is safe for human consumption. Each of the eight rivers tested positive for six different heavy metals. Table 1 summarises the findings.

 

Table 1: Heavy metal Concentrations in waters of three ecosystems (mg/I)

Pre-monsoon

Li

Be

AI

V

Cr

Mn

Fe

Co

Ni

Cu

Zn

Ga

 

0.09±01

BDL

1.43±0.19

0.003±0

0.003±0

0.03±0

0.12±001

BDL

0.002±0

0.01±0

0.02±0

BDL

 

0.02±0.005

BDL

1.18±0.27

0.002±0.0001

0.001±0.0001

0.05±0.004

0.12±0006

0.002±0

0.001±0

0.01±0

0.02±0.002

BDL

 

BDL

BDL

4.32±0.27

0.01±0

0.004±0

0.18±0.04

0.65±06

0.01±0

0.01±0

0.13±0.02

0.07±0.01

0.001±0

Monsoon

 

0.08±0

BDL

4.19±0.34

0.005±0

0.001±0

0.07±0

0.18±002

BDL

0.002±0

0.02±0.002

0.04±0.006

BDL

 

0.09±0.02

BDL

2.89±0.19

0.004±0

0.001±0

0.05±0.01

0.18±0009

BDL

0.001±0

0.02±0.004

0.03±0.006

BDL

 

0.009±0

BDL

12.05±0.63

0.02±0

0.007±0

0.43±0.02

10.02±1.5

0.001±0

0.01±0

0.12±0.01

0.10±0.01

0.002±0

Post Monsoon

 

0.03±0.007

BDL

0.05±0.003

0.003±0

0.002±0

BDL

0.003±0

0.001±0

0.003±0

0.01±0.002

BDL

BDL

 

0.03±0.003

BDL

0.06±0.01

0.003±0

0.001±0

0.04±0.004

0.001±0

0.001±0

0.001±0

0.01±0

BDL

BDL

 

0.002±0

BDL

0.07±0.007

0.003±0.001

0.003±0

0.03±0.01

0.004±0

0.0003±0

0.004±0

0.06±0.01

BDL

BDL

 

There was a detectable amount of zinc and manganese present in each and every one of the sample locations. During the monsoon season, the concentrations of zinc were at their greatest, measuring 0.04 mg/L, while the concentrations of manganese were at their lowest, measuring 0.03 mg/L. If you look in Table 1, you will see these statistics. Previous research (Adeyemi and Ugah, 2017; Onuoha, 2017) has shown that this particular study did, in fact, discover a number of locations that have higher amounts of manganese, cadmium, and chromium.

In light of the increased levels of carcinogens, it is imperative that concerns be expressed. Copper was found in other areas, although at levels that were far below than the permissible threshold established by the World Health Organisation (0.0233 mg/L and 0.0108 mg/L, respectively). Lead was not found in any of the tests that were conducted. With a higher position in the food chain, these elements have the potential to biomagnify, even in little quantities, and to bioaccumulate. Among these chemicals is the element lead. There is also a trace amount of copper and zinc present in the materials. Rahman et al. (2012) state that both benthic and pelagic fish have the potential to accumulate cadmium, lead, copper, and zinc in their gills, liver, and meat inside their bodies. According to the findings of Sehar et al. (2014), zinc has the potential to bioaccumulate in gills and to become more concentrated as it travels down the food chain.

According to the findings of Abumourad et al. (2013) and Healey (2009), hazardous metals like lead, cadmium, and mercury may accumulate more quickly in the tissues and bodies of aquatic animals than they do in the water itself. As a consequence of this, individuals experience signs and symptoms of serious health concerns. According to the findings of study conducted by Sarty and Gupta (1979), cadmium may decrease the kidneys’ capacity to filter waste. Cyanide and chromium are two examples of pollutants that may be identified in some water samples. These toxins pose a threat to aquatic life as well as to people. Given that these metals are often found in pesticides and fertilisers, it is not out of the question that runoff from farms that are next to the water source might potentially pollute the water supply.

Table-2: Physico-chemical characteristics of fresh water.

 

Parameters

Pre monsoon

Monsoon

Post monsoon

pH

7.6 ± 1.87

6.62 ± 1.61

6.81 ± 1.23

Temp (C)

27.5 ± 2.59

25.6 ± 4.94

23.6 ± 1.84

Ec (µs/cm)

660 ± 36.96

500 ± 101.50

724 ± 121.63

Salinity (ppt)

0.3078 ± 0.01

0.2332 ± 0.06

0.337 ± 0.03

DO (mg/l)

7.9 ± 0.69

8.8 ± 2.22

7.6 ± 1.23

BOD (mg/l)

3.2 ± 0.22

1.95 ± 0.48

2.29 ± 0.36

TS (mg/l)

1004.45 ± 213.95

868.61 ± 81.65

882.4 ± 80.30

TDS (mg/l)

960 ± 220.80

850 ± 214.20

816 ± 187.68

TSS (mg/l)

44.45 ± 6.36

18.61 ± 4.58

21.4 ± 3.06

Cl ( mg/l)

186 ± 21.84

122 ± 11.47

116 ± 13.92

TH (mg/l)

182 ± 32.76

204 ± 15.91

210 ± 37.80

Ca (mg/l)

24.5 ± 4.46

19.7 ± 3.31

23.86 ± 1.86

Mg H (mg/l)

157.5 ± 38.27

184.3 ±18.06

186.14 ± 31.27

TA (mg/l)

204 ± 39.37

163 ± 26.41

182 ± 17.84

·       TEMPERATURE

Many amphibians and reptiles have core temperatures that are quite close to those of the water they inhabit. This is also true of fish. Fish may die from the consequences of rapid temperature fluctuations. Fish metabolism and respiration are influenced by temperature, which in turn influences the amount of oxygen that is dissolved in the water. Boyd (1990), Chang et al. (2019), and Devi et al. (2017) are among the research that have shown this to be a cause of mental anguish and mortality. According to Table 2, the water temperature of the Narmada River ranged from 26 to 29 degrees Celsius. Studies support the World Health Organization’s (WHO) recommendation that the optimal temperature range is fifteen to thirty degrees (Zanatta et al., 2010).

pH

It is the hydrogen ion activity of water that is indicated by its pH. Changing the pH level by one unit indicates a tenfold change in the concentration of hydrogen ions. The pH of surface water systems is found to fluctuate during the day, reaching a minimum just before dawn and a high in the middle, as reported by Kestemont et al. (2015). Table 2 shows that across the three weeks of the experiment, the pH values of the Narmada River varied between 5.80 and 8.20. At the start of the day, the ideal pH range for fish culture is between 6.62 to 7.6, according to Swingle (1967) and Hepher and Pruginin (1981). Even if fish can survive in environments with pH values as low as 4 or as high as 11, the productivity of fish would still be significantly reduced, according to Devi et al. (2017). The river’s pH was below the ideal range for fish production during the third week of sampling. There may be a high rate of fish mortality because of garbage that has accumulated in the river, such as organic matter that has decomposed.

·       ELECTRICAL CONDUCTIVITY

The measureable attribute of water’s conductivity is its capacity to convey electrical current. In their 2004 study, Stone and Thomforde found that electrical conductivity levels ranging from 30-500 μS/cm are suitable for the culture of river fish. This is so even though there are currently no recommendations for EC in rivers from the World Health Organisation. All along the river, the results showed an EC that was well within the allowed limits. Increasing the amount of dissolved salts and inorganic elements in water, such chlorides, sulphate, and carbonate compounds, would raise the electrical conductivity of the water since conductivity is directly related to the concentration of conductive ions in it. Electrical conductivity is useful for identifying early changes in the water system and also provides the basis for calculating total dissolved solids (TDS) and salinity (Langland and Cronin, 2003).

·       SALINITY

It is said by Jamabo (2008) that salinity influences the quantity and pace of population increase of aquatic species. The term “salinity” refers to the overall concentration of ions in water that have electric charges. The electrical conductivity of water is therefore significantly altered by the presence of salt. According to the World Health Organisation, the typical range is 0 to 1 psu, and the results from the Narmada River were within this range.

·      TOTAL DISSOLVED SOLIDS

Each river had a different total dissolved solids (TDS) concentration, with values ranging from 37 to 249 mg/L (Table 2). The TDS concentrations differed from river to river. Both River A1 and River A2 have a relatively low level of chemical contamination in their water. There is a correlation between this discovery with the low EC values that were reported for the River. These values were much lower when compared to what is considered to be safe for the Narmada River.

·      HARDNESS

Only the concentrations of calcium and magnesium are taken into account when attempting to determine the overall hardness of water. A material’s hardness might be enhanced by the presence of additional divalent and trivalent ions; however, these ions are often present in negligible amounts. A significant drop in total hardness was seen during the third week of sampling. It was shown by the data. Research found levels below the World Health Organization-recommended limit of 50-100 mg/L for aquaculture. For aquaculture purposes, this range is suitable. The water must be very smooth if this is correct. Research has shown that fish may experience stress and a decrease in mineral content when the overall hardness value falls below 20 mg/L (Dinesh et al., 2017). The reason for this is because stress might have a greater impact on fish. However, liming the river might be a solution to this problem.

·       BOD & COD

Under aerobic conditions, at a specific temperature and for a specific amount of time, the amount of dissolved oxygen that organisms need to digest the organic matter in a specific water sample is determined by the biological oxygen demand (BOD). The majority of freshwater species typically need a biological oxygen demand (BOD) range of 3 to 20 mg/L, according to Boyd and Thunjai (2003). The BOD of the different samples ranged from 0.3 to 2.0, as shown in Table 2. All of the reported values were under the lower bound of the specified range. If there are too many fish in the river, oxygen levels would drop, which might explain the phenomenon. Aquaculture animals are more likely to experience stress, loss of appetite, slow growth, vulnerability to disease, and mortality when the concentration of dissolved oxygen is low (Makori et al., 2017). However, mechanical aeration may increase the river’s biological oxygen demand (BOD) (Warish et al., 2017). Results showing COD levels between 2.9 to 9.7 mg/L were within the range of what the World Health Organisation (WHO) considers to be acceptable. Levels of COD in the Narmada River have been shown to be below 20 mg/l in previous investigations (Warish et al., 2017).

·       CONCLUSIONS

There have been a few Narmada Rivers in the state of Madhya Pradesh that have been tested for their water quality, and it has been decided that these rivers have been reviewed. At each of the four sample sites, it was discovered that the levels of temperature, salinity, COD, and TDS were all within the optimal range that is suggested for the development of fish. After doing an analysis of the data, the researchers came to this conclusion of their findings. On the other hand, it was found that both the overall hardness and the BOD were lower than the normal range that is considered to be acceptable. This was a discovery that was made. There is a possible threat to the health of species that live in the water as well as people as a consequence of the presence of heavy metals such as chromium and cadmium in some sections of the river. people are also at risk of experiencing adverse health effects. Therefore, it is recommended that appropriate actions be taken at the river that was researched in order to maintain and improve the water quality for fish culture at regular intervals and to monitor the impact that these changes have on the development of the fish. The findings of the current research indicate that this recommendation is supported by the fact that it is recommended that appropriate actions be taken. This advice is based on the results of the study that was already mentioned previously in the discussion. Not only would this have a beneficial effect on the health of the aquatic biome, but it would also have a favourable influence on the health of people and the environment as a single entity.

 

REFERENCES

 

[1].      Abumourad, I.M.K., Authman, M.M.N., Abbas, W.T., 2013. Heavy metal pollution and metallothionein expression: A survey on Egyptian tilapia farms. Journal of Applied Sciences Research 9, 612-619.

[2].      Adeyemi, M.M., Ugah, I.A., 2017. Evaluation of Concentration of some Heavy Metals in Water, Soil, and Fish from River in Lugbe, Idu and Kuje in the Federal Capital Territory (FCT), Abuja, Nigeria. Journal of Environmental Science, Toxicology Food Technology 2, 39-43.

[3].      Adeyeye, E., 1996. Determination of major elements in Illisha africana fish, associated water and soil sediments from some freshwater River. Bangladesh Journal of Scientific Industrial Research 31, 171-184. Amenyogbe, E., Chen, G., Wang, Z., Lin, M., Lu, X., Atujona, D., 2018. A Review of Ghana’s Aquaculture Industry. Journal of Aquaculture Research and Development 9, 8-13.

[4].      APHA, 1992. Standard methods for the examination of water and wastewater. USA: American Public Health Association.

[5].      Bhatnagar, A., Devi, P., 2013. Water quality guidelines for the management of River fish culture. International Journal of Environmental Sciences 3, 1980-2009.

[6].      Biney, C.A., 1986. Preliminary physico-chemical studies of lagoons along the Gulf of Guinea in Ghana. Tropical Ecology 27, 147-156.

[7].      Boyd, C.E., 1990. Water quality in River for aquaculture. Agriculture Experiment Station, Auburn University, Alabama. Pp. 1-482.

[8].      Boyd, C.E., Thunjai, T., 2003. Concentrations of major ions in waters of inland shrimp farms in China, Ecuador, Thailand, and the United States. Journal of the World Aquaculture Society 34, 524-532.

[9].      Chang, H.A., Saeromi, L., Ho, M.S., Jae, R.P., Jin, C.J., 2019. Assessment of water quality and thermal stress for an artificial fish shelter in an urban small River during early summer. Water 11, 139- 157.

[10].    Devi, P.A., Padmavathy, P., Aanand, S., Aruljothi, K., 2017. Review on water quality parameters in freshwater cage fish culture. International Journal of Applied Research 3, 114-120.

[11].    Dinesh, K.G., Karthik, M., Rajakumar, R., 2017. Study of seasonal water quality assessment and fish Riverconservation inThanjavur, Tamil Nadu, India, Journal of Entomology and Zoology Studies 5, 1232- 1238.

[12].    Eze, V.C., Ogbaran, I.O., 2010. Microbiological and physicochemical characterizes of fish River water in Ughelli Delta State, Nigeria. International Journal of Current Research 8, 82-87.

[13].    Food and Agriculture Organization 2018. State of world fisheries and aquaculture-meeting the sustainable development goals, Rome, Italy. Healey, N., 2009. Lead toxicity, vulnerable subpopulations and emergency preparedness. Radiation Protection Dosimetry 134, 143-151.

[14].    Hepher, B., Pruginin, Y., 1981. Commercial fish farming. A Wiley Interscience Publication, New York 1-261.

[15].    Jaeger, C., Aubin, J., 2018. Biological and physico-chemical dataset from different fish River systems related to IMTA: fish, water and sediment. Sea Open Scientific Data Publication, https//doi.10.17882/56675.

[16].    Jamabo, N.A., 2008. Ecology of Tympanotonus fuscatus (Linnaeus, 1758) in the mangrove swamps of the Upper Bonny River, Niger Delta, Nigeria. PhD. Thesis, Rivers State University 1-340.

[17].    James, M.E., 2000. Water quality and recalculating aquaculture systems. Aquaculture Systems Technologies, LLC. New Orleans, LA 16-28.

[18].    Kestemont, P., Dabrowski, K., Summerfelt, R.C., 2015. Biology and culture of percid fishes: principles and practices. Springer 1-919.

[19].    Klontz, G.W., 1993. Environmental requirements and environmental diseases of salmonids. Phiadelphia 1-342.

[20].    Langland, M., Cronin, T., 2003. A summary report of sediment processes in Chesapeake Bay and watershed, water resources investigations report 03-4123. New Cumberland, Pennsylvania: US Geological Survey. DOI. 10.3133/wri034123.

[21].    M’balaka, M., Kassam, D., Rusuwa, B., 2012. The effect of stocking density on the growth and survival of improved andunimproved strains of Oreochromis shiranus. Egypt Journal of Aquaculture Research 38, 205-211.

[22].    Makori, A.J., Abuom, P.O., Kapiyo, R, Anyona, D.N., Dida, G.O., 2017. Effects of water physico- chemical parameters on tilapia (Oreochromis niloticus) growth in earthen River in Teso North Sub- County, Busia County. Fisheries and Aquatic Sciences 20, 1-10.

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[24].    Mensah, M.B., Boadi, N.O., Baa-Poku, F., Wemegah, D.D., Badu, M., Saah, S.A., Osei-Dei, B., 2016. Physicochemical properties and levels of heavy metals in selected rivers within the Kumasi International Journal of Science and Technology 5, 616–623.

[25].    Oluyemi, E.A., Adekunle, A.S., Adenuga, A.A., Makinde, W.O., 2010. Physico-chemical properties and heavy metal content of water sources in Ife North Local Government Area of Osun State, Nigeria. African Journal of Environmental Science Technology 4, 691-697.


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Unlocking Academic Excellence: The Benefits of Using Google Scholar

 By Shashikant Nishant Sharma

In the digital age, researchers, academics, and students are fortunate to have access to powerful tools that facilitate the discovery of scholarly content. Google Scholar stands out as one such tool that has revolutionized the way we access and engage with academic literature. This article explores the myriad benefits of using Google Scholar and how it has become an indispensable resource in the pursuit of knowledge.

  1. Comprehensive Academic Search Engine

Google Scholar serves as a comprehensive academic search engine, indexing scholarly articles, theses, books, conference papers, and patents. Its vast database covers a wide range of disciplines, ensuring that users have access to a diverse array of research materials.

  1. Free Access to Scholarly Content

One of the standout features of Google Scholar is its commitment to open access. Many of the search results on Google Scholar provide free access to the full text or a preprint version of the scholarly content. This democratization of information is invaluable for researchers and students with limited access to institutional resources.

  1. User-Friendly Interface

Google Scholar’s user-friendly interface makes it accessible to users of all backgrounds. The simple search bar and intuitive design allow for easy navigation, ensuring that users can quickly find relevant academic resources without being overwhelmed by complex features.

  1. Citation Tracking

Researchers and academics can track citations of their own work or explore the impact of a particular article through Google Scholar. This feature aids in understanding the influence and relevance of scholarly publications within the academic community.

  1. Alerts and Notifications

Google Scholar offers a personalized experience through its alert and notification system. Users can set up alerts for specific keywords, authors, or topics of interest. This ensures that they stay informed about the latest developments in their field without actively searching for new publications.

  1. Integration with Library Resources

Many institutions integrate Google Scholar with their library resources, providing users with direct access to full-text articles available through their subscriptions. This seamless integration enhances the research experience for students and researchers within academic institutions.

  1. Advanced Search Options

For users looking for more refined search results, Google Scholar offers advanced search options. Researchers can use specific filters to narrow down results based on publication dates, authors, journals, or keywords, making it easier to find the most relevant information for their research.

  1. Multilingual Search Capabilities

Google Scholar supports multiple languages, making it a global platform for academic research. This inclusivity allows researchers from around the world to access and contribute to the vast pool of scholarly knowledge available on the platform.

Conclusion

In conclusion, the benefits of using Google Scholar are manifold. From its user-friendly interface to its extensive database and open access initiatives, Google Scholar has become an indispensable tool for academics, researchers, and students alike. By facilitating the efficient discovery of scholarly content, Google Scholar continues to play a pivotal role in advancing knowledge and fostering collaboration within the global academic community. Embracing this powerful platform is not just a convenience but a key step towards unlocking the doors to academic excellence.

References


Halevi, G., Moed, H., & Bar-Ilan, J. (2017). Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the literature. Journal of informetrics11(3), 823-834.

Jacsó, P. (2005). Google Scholar: the pros and the cons. Online information review29(2), 208-214.

Mayr, P., & Walter, A. K. (2007). An exploratory study of Google Scholar. Online information review31(6), 814-830.

Mikki, S. (2009). Google scholar compared to web of science. A literature review. Nordic Journal of Information Literacy in Higher Education1(1).

Sharma, S. N. (2023). Understanding Citations: A Crucial Element of Academic Writing.

Unlocking Knowledge: The Benefits of Open Access Research Articles

 By: Shashikant Nishant Sharma

Abstract

In recent years, the academic landscape has undergone a significant transformation with the rise of open access research articles. Open access refers to the unrestricted, free availability of scholarly works, allowing anyone with an internet connection to read, download, and distribute academic publications without financial barriers. This shift from traditional subscription-based models to open access has brought about numerous benefits for researchers, educators, students, and the general public.

Full Length Article

Widespread Accessibility:

One of the primary advantages of open access research articles is the democratization of knowledge. Traditional academic publishing often involves expensive subscription fees, making it challenging for individuals and institutions with limited resources to access vital research. Open access eliminates these financial barriers, providing equal opportunities for researchers worldwide to access cutting-edge information.

  1. Faster Dissemination of Knowledge:

Open access accelerates the dissemination of research findings. Traditional publishing can be a lengthy process, involving submission, peer review, and publication timelines. With open access, articles are typically available online shortly after acceptance, allowing the global research community to benefit from the latest discoveries more rapidly. This accelerated dissemination fosters collaboration and innovation across disciplines.

  1. Increased Visibility and Impact:

Open access research articles often enjoy higher visibility and citation rates compared to their paywalled counterparts. When articles are freely accessible, they are more likely to be cited by other researchers, leading to increased impact and recognition for the authors. This increased visibility not only benefits individual researchers but also contributes to the advancement of their respective fields.

  1. Global Collaboration:

Open access facilitates international collaboration by breaking down geographical and financial barriers. Researchers from different parts of the world can easily access each other’s work, fostering a more interconnected global research community. This collaborative environment can lead to diverse perspectives, innovative solutions, and the sharing of resources and expertise.

  1. Educational Benefits:

Open access research articles are valuable resources for educators and students at all levels. By providing free access to scholarly content, educational institutions can enhance their teaching materials and expose students to the latest research in their fields. This not only enriches the learning experience but also prepares students for a future where access to information is paramount.

  1. Public Engagement:

Open access research encourages engagement from the general public. By making academic knowledge freely available, research becomes more accessible to individuals outside the academic community. This transparency promotes informed public discourse, increases scientific literacy, and fosters a society that is more aware of and invested in the latest scientific developments.

Conclusion:

The benefits of open access research articles are manifold, ranging from improved accessibility and visibility to fostering global collaboration and public engagement. As the academic community continues to embrace open access models, it is evident that this shift is not only leveling the playing field for researchers but also contributing to the democratization of knowledge and the acceleration of scientific progress. Open access is a powerful tool in shaping a more inclusive and collaborative future for academic research.

References

Allen, C., & Mehler, D. M. (2019). Open science challenges, benefits and tips in early career and beyond. PLoS biology17(5), e3000246.

Ferreras-Fernández, T., García-Peñalvo, F., Merlo-Vega, J. A., & Martín-Rodero, H. (2016). Providing open access to PhD theses: visibility and citation benefits. Program50(4), 399-416.

Huston, P., Edge, V. L., & Bernier, E. (2019). Open science/open data: Reaping the benefits of open data in public health. Canada Communicable Disease Report45(11), 252.

Houghton, J. W., Rasmussen, B., & Sheehan, P. (2009). Economic implications of alternative scholarly publishing models: Exploring the costs and benefits.

Sharma, S. N. Techniques of Meta-Analysis for Unlocking Knowledge.



Socializing with RDD: Exploring ReddCoin's Impact on Online Communities

 In today’s digital age, online communities have become an integral part of our lives. People from all walks of life connect, share ideas, and collaborate through various platforms. ReddCoin (RDD) is another cryptocurrency that also plays a significant role in enhancing social interactions in the digital realm. In this article, we will explore the impact of ReddCoin on online communities and how it contributes to the overall evolution of social interactions. To efficiently invest in Bitcoin, you may consider visiting altrix-edge.io, a reputable trading platform online. 

Photo by Marta Branco on Pexels.com

The Rise of ReddCoin

Understanding ReddCoin (RDD)

ReddCoin is a decentralized cryptocurrency that specifically focuses on facilitating social interactions within online communities. It was introduced in 2014 and operates on a Proof-of-Stake Velocity (PoSV) algorithm. RDD aims to create a seamless and rewarding experience for users when they engage with content, share it, and support the creators.

Unique Features of ReddCoin

Tipping System

One of the standout features of ReddCoin is its tipping system. Users can tip content creators, developers, or any other participants within an online community to show appreciation for their contributions. This microtransaction system encourages engagement, fosters positive interactions, and provides an avenue for individuals to monetize their content.

Redd-ID

Redd-ID is an integral part of ReddCoin’s ecosystem. It allows users to associate a unique username with their RDD wallet address. This feature simplifies the process of sending and receiving RDD, as users no longer need to remember complex wallet addresses. Redd-ID enhances the user experience and makes transactions within online communities more accessible.

Social Wallet

The ReddCoin Social Wallet is designed to promote social interactions and facilitate the seamless sharing of RDD. With the Social Wallet, users can send RDD directly to their contacts on various social media platforms such as Twitter, Reddit, and Twitch. This functionality not only simplifies the transfer process but also introduces RDD to a wider audience, expanding the reach of the cryptocurrency.

RDD and Online Communities

Enhancing Content Creation

ReddCoin plays a vital role in empowering content creators within online communities. By providing a tipping system, ReddCoin incentivizes users to produce high-quality content. Creators can monetize their work through RDD tips, encouraging them to continue generating valuable and engaging content. This system fosters a supportive environment where talented individuals can thrive and be rewarded for their contributions.

Strengthening Community Engagement

Online communities thrive on active participation and engagement. ReddCoin promotes and strengthens these interactions by providing a platform for users to tip, support, and appreciate each other’s contributions. The tipping culture facilitated by RDD creates a sense of community and encourages individuals to actively engage with the content they find valuable. This engagement fosters connections, builds relationships, and ultimately strengthens the online community as a whole.

Building Trust and Credibility

ReddCoin’s transparent and decentralized nature contributes to building trust and credibility within online communities. With RDD, users can confidently support their favorite content creators, knowing that their tips directly benefit the intended recipients. The immutability of blockchain technology ensures that transactions are secure, and users have control over their funds. This level of trust and credibility strengthens the bonds between community members and establishes a solid foundation for further growth.

RDD’s Impact on Social Media Platforms

Twitter

ReddCoin has made significant strides in integrating with popular social media platforms like Twitter. Users can now tip RDD directly to their favorite accounts, rewarding engaging tweets, insightful content, or simply showing appreciation for someone’s online presence. RDD’s presence on Twitter promotes social interactions, drives engagement, and increases the visibility of the cryptocurrency.

Reddit

Reddit, being one of the most vibrant online communities, provides an ideal platform for RDD’s integration. Users can tip RDD to reward valuable posts, insightful comments, or helpful advice within various subreddits. This tipping system encourages active participation and fosters a positive and supportive environment within the Reddit community.

Twitch

As a popular live streaming platform, Twitch attracts a vast audience that is passionate about gaming and creative content. With RDD’s integration, viewers can now tip their favorite streamers directly using ReddCoin. This feature provides an additional revenue stream for streamers, incentivizing them to produce quality content and engage with their audience.

Conclusion

ReddCoin (RDD) has emerged as a powerful force in enhancing social interactions within online communities. With its tipping system, Redd-ID functionality, and integration with popular social media platforms, RDD promotes engagement, rewards content creators, and strengthens community bonds. As more users recognize the value of ReddCoin, it has the potential to revolutionize the way we socialize, collaborate, and support each other in the digital realm.

Guest Post Guidelines for Eduindex News

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  6. Tone and Style: Match the tone and style of the website or blog. Whether formal, conversational, or technical, adapt to the site’s established voice.

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  11. Editing and Proofreading: Review and revise the content before submission. Check for grammatical errors, typos, and coherence. Consider using tools like Grammarly or Hemingway Editor.

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  13. Patience and Professionalism: Understand that the editorial process might take time. Be patient and responsive to communication from the website’s editors. Maintain a professional demeanor throughout the process.

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ADITI CHHETRI

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(19)          https://www.track2training.org/2023/10/the-era-of-delhi-sultanate.html

 

(20)          https://www.track2training.org/2023/10/introduction-to-indus-valley.html

 

(21)          https://www.track2training.org/2023/10/5-ways-to-manage-stress.html

 

(22)          https://www.track2training.org/2023/10/emergence-of-sociology.html

 

(23)          https://www.track2training.org/2023/10/effects-of-volcanism.html

 

(24)          https://www.track2training.org/2023/10/history-of-television-in-india.html

 

(25)          https://www.track2training.org/2023/10/5-suggestions-for-successful-interview.html

 

(26)          https://www.track2training.org/2023/10/the-french-revolution.html

 

(27)          https://www.track2training.org/2023/10/the-european-union.html

 

(28)          https://www.track2training.org/2023/10/marine-protected-areas-in-india.html

 

(29)          https://www.track2training.org/2023/10/the-history-of-indian-radio.html

 

(30)          https://www.track2training.org/2023/10/sociological-theories-of-power.html