ITM University, Gurgaon, Haryana

About: ITM University, Gurgaon, Haryana is a education organization based out in Gurgaon, India. It is known for research contribution in the topics: Encryption & Cryptosystem. The organization has 749 authors who have published 1159 publications receiving 12997 citations.

Introduction to Integrated Systems Approach to Materials Management

Abstract: This chapter sets the tone for an integrated approach to materials management. The importance of materials management is highlighted due to material cost being the most dominant cost component in the overall cost of production or service as well as due to the fact that materials comprise very critical resource input to any productive activity and their timely availability is important for the production schedules to be met. Inventory is the most important barometer indicating the efficiency with which a company manages its material resources. Inventory is defined as the “necessary but idle resource having economic value.” High inventory turnover ratio signifies better management of materials and vice versa. Symptoms of poor materials management include low turnover ratio, high materials waste, long lead time, uncertainty of demand and lead times, high percentage of dead stock, poor storage and warehousing methods, excessive variety of parts due lack of standardization, disabling organization structure, poor purchasing practices, and unreliable vendors. Among the reasons of low productivity of materials are lack of systems approach, ignoring hidden costs in preference to visible costs, not employing scientific approaches to inventory control, poor demand forecasting, and high degree of uncertainty in the demand and supply environment. An integrated approach is proposed to look at all these issues in totality to get the maximum value out of every dollar invested in materials.

A note on eneström-kakeya theorem

Abstract: In this paper, the restriction on the coefficients of a polynomial with complex coefficients is weakened in order to obtain an extension of Enestrom-Kakeya's Theorem. Our method of proofs is of independent interest. Moreover, remark at the end simplifies several known results in this area of research.

Applications of Advanced Fuzzy Set in Medical Image Analysis: A Review

Abstract: Medical images owing to blurriness, unsharp edges, unclear boundaries make the detection and diagnosis of abnormalities a cumbersome task. Crisp set theory sometimes fails in processing medical images owing to uncertainty in computer vision system and human understanding along with imprecise grey pixel values. It is imperative to get accurate results for a wrong decision in analyzing images may cost a person’s life. Fuzzy techniques are exploited to deal with this vagueness as it follows fuzzification, membership modification, and defuzzification to get accurate results. In some cases where uncertainty increases or dissimilar kind of uncertainties are required, fuzzy techniques are not capable to give good results. So, advanced fuzzy sets like intuitionistic fuzzy sets and type II fuzzy sets are used to get better results with increased accuracy. Intuitionistic fuzzy sets use hesitation function while type II fuzzy sets utilize fuzzy membership function to deal with more uncertainties. This paper reviews the current applications of advanced fuzzy set in pre-processing, segmentation, and clustering and edge detection of medical images.

Pathways towards reverse logistics adoption in Indian educational institutes: a challenging factors analysis

Abstract: Reverse logistics (RL) has been proven to have a positive effect on addressing the issue of effectively utilizing resources. India has a population of over one billion people with most of it dominated by youth. Developing RL strategies and exposing it to students will encourage them to find ways to manage the limited resources available in our country. This study is focused on identifying the challenges of RL implementation in education institutes in India and finding the inter-relationship among them. The most crucial barrier to RL implementation in educational institutes is also sought in the process. We initially review the RL practices in the Indian sub-continent to examine the challenges of effectively implementing RL. We then identify the challenges of RL based on literature and discussions with experts from the education industry. The experts selected for this study include administrators from schools and universities in Kerala, India (South India). A survey was conducted in two phases. The Fuzzy-DEMATEL technique was applied to determine the inter-relationship between the challenges and obtain the causal diagram. Initially, 45 challenges were identified. Based on responses from experts from phase one of the survey, it was narrowed down to 29 crucial challenges. A pairwise comparison among the challenges was then done by experts in the education field. Finally, on the application of Fuzzy-DEMATEL, a causal diagram was generated to indicate the extent of influence of the RL challenges. Our findings indicate that educational institutions are faced with lack of awareness about reverse logistic, lack of responsibilities about environment, resistance to change, lack of supplies on supplier end, lack of knowledge, and no proper outlet for disposal in managing RL operations in educational institutes. The challenges identified in our study is unique to the Indian sub-continent and provides a result based on the current scenario of RL implementation in Indian educational institutes. The findings from our study indicate a unique perspective of RL implementation challenges. We analyzed 29 challenges to obtain our findings. Furthermore, we use Fuzzy-DEMATEL as our analysis tool to facilitate finding results. We present this as the uniqueness of our study from the available literature.

Introduction to Opinion Mining

Abstract: The prime component that can enhance the quality of services is the opinion of the users. Factual information and opinion information are two categories of textual information [1]. Facts are sentences which are true and can be verified, whereas opinions are sentences which hold an element of belief and cannot be verified for their truth.