Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Selecting the right supplier for a right product is a challenging problem in any industry. Especially in auto-mobile industry the problem becomes much more complex as there are many automobile components and with each component having many parts. Key Performance indicators which are widely used across the automobile industry are proposed for measuring and monitoring the supplier performance. Experts are used to provide their feedback on the Key Performance indicators. Experts are evaluated on Experience, Knowledge and Leadership skills. The reliance of experts to provide their ratings (pairwise comparison ratings between KPIs) has been in practice for quite some time. However, the ratings differ from expert to expert depending on their knowledge, experience, relevance and leadership skills. An average rating would not give a right solution to the problem. In this paper an AI based Fuzzy AHP methodology is proposed for computing the weights of the experts. These weightages will be used subsequently by automobile companies in computing the weights of the Key performance indicators. Using the hybrid of expert and criteria weights computed and the ratings of the supplier on each of the seven KPIs, a weighted score is computed and top ten suppliers are identified at the part level or at the component level for the automobile industry.

Management

VIT Business School

Chennai Campus

Materials today : Proceedings

Application of AI based expert evaluation method in an automobile supplier selection problem

Use of Artificial Intelligence and Robotics in agriculture is called as Agriculture 5.0 Disruptive technology should help in solving the social needs . Rogers suggest to develop human centric “ Ubiquitous Computing ” solution , for specific domain (agriculture production). Crop yield prediction (CYP) is vital to address the ever growing demand of food requirements of burgeoning world population and to prevent starvation . Artificial Intelligence can offer effective and practical solution for the problem. Machine Learning ( ML ) and Deep learning ( DL) have been evaluated. Machine Learning models ( using python , R , Seaborn ) have been experimented in this paper. Data of crop yield is used for model evaluation , which includes horticultural product (Banana) , cash crop ( Sugarcane), food crop (Rice) , for kharif , rabi season ( Dataset of Tamil Nadu and US region); Future research could combine remote sensing data and machine learning to predict the yield ( using google earth engine). Better accuracy in crop prediction is possible when vital data like soil moisture content ( ground level, root level and extreme ends of the field), 14 micro nutrients of soil is made available , for many seasons.

VIT Unitversity

Computer Science

School of Computer Science and Engineering

International Journal of Recent Technology and Engineering 2

Artificial Intelligence and Agriculture 5. 0

Since the advent of industrial revolution and mass production, machines replacing men has been a matter of heated debate and discussions. The threat of job losses on account of automation and consequent labor unrest has been the hallmark of growth and progress over the past few centuries. However the resistance to change has been successfully managed by finding new avenues of employment by enabling the labor with better skill sets. Similarly, computerization, which was also viewed as a threat, disproved the fears and created more direct and indirect employment for the young work force in India and elsewhere in the world. The growth of service sector in the first decade of the new millennium brought about 9.3% GDP growth for 3 years from the financial year 2004-05 before the global financial crisis resulted in an economic slowdown. Issues such as lean initiatives, cost leader ship and saving in labor cost again came to the forefront and global MNC’s continued their efforts to seek low cost destinations for off shoring noncore routine work. In the meantime the shared services model also began to gain momentum with a shift of emphasis from people to processes and technology. The world was slowly moving towards artificial intelligence and machine learning to standardize processes and procedures and achieve cost efficiency. © BEIESP.

World University root node

International Journal of Recent Technology and Engineering

Artificial intelligence-will it hasten or hamper women career progression

Cloud-based manufacturing is a computing and service-oriented model developed from existing advanced manufacturing models and enterprise technologies with the support of cloud computing, IOT, and virtualization. In this chapter, various definitions of cloud manufacturing are discussed. New service models other than the existing cloud computing service models are being discussed elaborately. Cloud-based design manufacturing is also being discussed. A comparison of cloud manufacturing and cloud-based design manufacturing is elaborately discussed. Key technologies and challenges in cloud manufacturing are highlighted.

Mechanical

School of Mechanical Engineering

Global Virtual Enterprises in Cloud Computing Environments Advances in Computer and Electrical Engineering

Cloud-Based Design and Manufacturing

In Asia, around 1 billion rural people migrate to urban areas for employment because of factors like poor crop yield, low income from farming and higher aspirations. UN Agenda 2030 for sustainable development wanted to ensure the implementation of new systems and practice, to increase crop yield. Innovative Technology solutions and money for farmers, to buy them will yield the desired results. Current paper focus on Trans Disciplinary Approach (Consortium of Industry, Academia, Government, Non-governmental Organizations (NGO), Financial Institutions) to support villagers in smart farming (use of Information & Communication Technologies in farming), resulting in improvement of quantity and quality of crop yield. Increase in income and drop in expenses will lead to more money with farmers, which can help in meeting their aspirations (ability to pay for better education, healthcare, house).. This paper analyses the various reports on how trans disciplinary approach can contribute to the sustainable rural development and help in forecasting crop yield using Autoregressive integrated moving average (ARIMA), Data captured using UGV’s, UAV’s etc.. © BEIESP.

Transdisciplinary approach for sustainable rural development

This article describes how knowledge is one of the most important assets in organizations which should be carefully managed and is continuously generated throughout an organization. Knowledge sharing is a process through which, one person is affected by the experiences of another. This involves more than simply acquiring or transmitting knowledge from one party to another, but is a process of exchanging and processing knowledge in a way that knowledge of one person can be integrated and used in by another person. Plenty of studies on knowledge sharing have been examined by numerous companies. However, not many empirical studies have been conducted in accordance with the framed model of ICT as a determinant and sharing of knowledge through social media within IT companies. This empirical study is aimed at identifying the critical ICT factors for enriching the knowledge sharing among employees through social media in IT organizations. The expected outcome of this study will be analyzing and establishing the causal relationships between the ICT influencing factors and knowledge sharing through social media.

International Journal of Web Portals

An Empirical Evaluation of Adoption and Diffusion of New ICTs for Knowledge Sharing in IT Organizations

Concepts and the theories related to social media are discussed in this chapter. This chapter talks about the various frameworks of social media for the use of organizations in developing social media framework with the business objectives. Definitions and guidelines in respect of social media metrics are mentioned in this chapter. Further it suggests the methods in choosing the right metrics for the key social media objectives in respect of canvassing or product launches. A new Social media metrics framework has been suggested and also the metrics have been identified for each framework group. This Chapter will help Organizations in identifying the key social media metrics for tracking and monitoring the measurement of the performance of one's brands, products, and services in the social media channels. Once the key social media metrics are identified, organizations can choose the right tool to measure the metrics defined. This would help Organizations to improve or enhance their marketing and operational business strategies by leveraging the power and reach of the social media channels. The future directions for research and the references indicated in this chapter would be of great help to researchers in the area of social media metrics.

Social Media Listening and Monitoring for Business Applications Advances in E-Business Research

Social Media Metrics

This chapter discusses in detail about Knowledge Management and how Social Media tools and platforms can be used for Knowledge Management and how they can be integrated into Knowledge Management system. This chapter explains the key aspects of Knowledge Management and Social Media and how Social media can be used to capture both tacit and explicit knowledge and also to share knowledge among the communities of practice both within organizations and also outside the organizations. The chapter provides an overview of using social media to enhance knowledge management and collaboration in a corporate context and gives an insight on how firms get the most value from social media tools like wikis, blogs, microblogging, social tagging and some such similar tools in Knowledge Management. Further research directions based on the review of the literature are proposed.

Social Media in Knowledge Management

This paper brings out current software testing practices their benefits and integrates the best practices in each testing standard. Choosing the right metrics at affordable cost is the biggest challenge for SME's there are whole lot of certification practices and the main challenge is to get one that has investment which is feasible for SME's and sustainable development which looks back to reverse innovation to go back and redesign for sustainability. And implementation by the small and medium companies. Not choosing to adopt one can bring adverse effects on software quality, therefore to achieve benefit of software testing under limited resources, it becomes necessary to identify the best software testing practices and create a mapping between various existing software methods and tools. This can be achieved by analyzing current testing practices and identifying the improvement potential. Testing plays a central role in quality assurance activities of many organizations. Finding one metric which is and cost effective is a key challenge for SME 's. It is observed that an efficient testing practice is vital to the quality of the developed product and to reduce the overall development expenses which is redefined as Reverse Innovation approach. © International Science Press.

International Journal of Control Theory and Applications

IT software quality management - A reverse innovation approach for SME's for a quality management practice

The researcher has reviewed the literature to become familiar with existing published work software testing practices and quality management approach in IT industry. These efforts allowed the researcher to ensure that her research has depth and better understanding of the topic and identify gaps in the existing process and practices, and bring a integrated and a simple SOP to be implemented in the SME 's. This literature review will identify previous research that has been done on Software testing. And will bring out in-depth understanding of the previous research and findings. The literature survey brings our the gaps in quality implementation practices and the difficulties faced by SME.s for certifications on quality due to high cost and tedious implementation processes, no certification leads to loss in sales, loss of export orders and no trust b the customer. During the course of this research it has been established that there are a number of different metrics for software test planning and test design processes. There are many attributes in multiple categories for software test planning and test design processes for each of these attributes, different existing measurements that has been studied during the course of research suggests that there is a need for consolidation of these measurements. Therefore in this thesis the researcher will present the consolidation of measurements that is intended to provide an opportunity of Small and Medium Enterprises (SME's) to consider adoption of a single process to software testing. This thesis aims to bring out current software testing metrics and their benefits after a comparative analysis. © International Science Press.

Review of literature on Software Testing Practices and Quality Management approach in Software Industry

This paper proves the existence of Lp solution to the fuzzy functional equation x(t) = a(t)h(t, x(t)) + y(t) where a and y are fuzzy functions and h is a given deterministic function. This functional equation is fuzzified using Zadeh's extension principle and the existence theorem is proved using the contraction principle, Castaing representation theorem and Negoita and Ralescu's representation theorem. This supplements and earlier existence theorem we obtained for bounded fuzzy solutions.

International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems

On the integrable solution of a class of fuzzy functional equations

In this paper existence theorems for certain Volterra integral equations involving fuzzy set valued mappings (whose values are normal, convex, upper semicontinuous and compactly supported fuzzy sets in Rn) are obtained. © 1996 Elsevier Science B.V. All rights reserved.

Fuzzy Sets and Systems

A note on fuzzy Volterra integral equations

In this paper we offer a comprehensive and unified approach to the study of existence theorems for fuzzy functional equations of the form f(x) = h(x, f(s(x))). Though this equation in the classical setting has been studied extensively in the literature there has not been much of a study of fuzzy functional equations. We employ the tools of analysis as available in En, the space of fuzzy numbers (which are normalized, fuzzy convex, upper semicontinuous and compactly supported). © 1994.