Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

An integrated exploration of thermal and water management dynamics on the performance of a stand-alone 5-kW Ballard fuel-cell system for its scale-up design

Abstract: A semi-empirical dynamic model with a generalized modeling framework is presented in this paper for the optimal design of a proton-exchange membrane fuel-cell system in order to bring out the impor...

Inspection of faults in textile web materials using wavelets and ANFIS

Abstract: Quality is the watchword of any type of business. A product without quality leads to loss and lack of customer satisfaction. This is true in case of textile industries also. Textile manufacturing is a process of converting various types of fibers into yarn, which in turn woven into fabric. Weaving process is used to produce the fabric or cloth by interlacing two distinct set of yarn threads namely warp and weft yarn. In textile industries, quality inspection is one of the major problems for fabric manufacturers. At present, the fault detection is done manually after production of a sufficient amount of fabric. The fabric obtained from the production machine are batched into larger rolls and subjected to the inspection frame. The nature of the work is very dull and repetitive. Due to manual inspection of the manufactured fabric, there is a possibility of human errors with high inspection time, hence it is uneconomical. This paper proposed a PC-based inspection system with benefits of low cost and high detection rate. Both normal and faulty images are processed and features are extracted by using Gray Level Co-occurrence Matrix (GLCM) and classification is done using Adaptive Neuro Fuzzy Inference System (ANFIS). Proposed scheme performs 36.66% better than the existing microcontroller based classification system.

Characterization of Sida acuta fiber and its polymer composites with effect of fly ash

Abstract: In this paper, the physical, chemical, and thermal properties of cellulosic fiber extracted from the stem of Sida acuta have been reported. Tests such as tensile, chemical, thermo gravimetric analy...

An empirical research on consumer online buying behaviour during the COVID-19 pandemic

Abstract: The extraordinary episode of the 2019 novel Corona-virus named as COVID-19 by the World Health Organization (WHO) has put various governments around the globe in a shaky position. The shortage of health care facilities to bear the COVID-19 has forced the countries to go with the hand of complete or partial lock down. According to the World Health Organization (WHO) report 32.6 million cases has been recorded as on 26 September 2020. Corona-virus have its major influence on consumer buying behaviour which is going to change the consumers' future hopping habits. This article highlights the change in consumer behaviour from physical store to online shopping. The present study was conducted during the month of July- August 2020, where questionnaires' are formed and data collected using Google forms. Analysis of the data is made through Simple percentage method, ANOVA test, Chi square test and ranking method. After analysis it found that the majority holding 21-30 age group of customers prefer shopping while free shipping and their cart behaviour is also analysed for the same.

Association of Job and Demographical Risk Factor with Occurrence of Neck Pain Among Hand Screen Printing Workers

Abstract: The objective of this study was to examine the prevalence of neck pain and to explore its association with individual job and demographical risk factors among hand screen printing workers. These factors include gender, age, marital status, smoking and drinking habits, willingness of the workers, sick leave, working efficiency and experience. A questionnaire survey was taken among the 385 working labours with different age groups in the western part of Tamil Nadu. The result shows that the prevalence of neck pain among the workers of the hand screen printing was about 27.8%. The female workers, higher age group workers, married workers and higher experienced workers seem to have a higher MSD and discomfort. This study statistically illustrates the effect of job and demographic factors on neck pain among hand screen printing workers.