A Study on Workaholism of Employees in Garments Industry with Special Reference to Tirupur

Mr.R.D.Suresh and Dr. K. Balanaga Gurunathan, JECET; September 2017- November 2017; Sec. C; Vol.6. No.4, 638-645,[DOI: 10.24214/jecet.C.6.4.63845.]

Abstract

Work is a part of life; there is no life without work. However, one should enjoy life and work should make it worth living and not make it stressful, boring, monotonous and burdensome. With the development of society, working competition becomes increasingly severe. Employees, the key element in the process of achieving profits, are required or inspired to work in a compulsive way. It is not easy for employees to find a middle ground between work and life. Therefore the term workaholism arises and the preference of wealthy life or pursuit of self- achievement may drive them working more. This will define a modern phenomenon called “workaholism” and discuss its impact on people’s well -being such as work efficiency, family harmony and life satisfaction. This article focuses on the causes of analyzes the workaholism existing in the industry. Employees are very important for any business as they are the backbone of its success. The objectives of the study is to find the various causes for workaholism,to examine the rate of workaholism prevailing in the Industry, to examine various effects due to workaholism,to suggest various measure overcome workaholism.In this study opinion of 150 employees were taken for analysis. The tools used for collecting data were structured questionnaire and unstructured interview. For analysis purpose chi-square, Rank correlation and percentage method has been used. The results revealed that majority of the respondents are workaholics in the organization. High percentage of respondents says that there is significant relationship between employee’s education and habits of starting the work before finalizing all steps in order to avoid these problem managements of various companies in garments industry has to take necessary steps to change working culture. The managements should become highly systematic and employees should understand clearly about their role in the industry. Changing the work culture and being systematic can help to control the issue.

3G and 4G Effects of Mobile Phone Radiations on Testis of Human Body

Mushtaq Ahmed Bhat, JECET; September 2017- November 2017; Sec. C; Vol.6. No.4, 531-537., [DOI: 10.24214/jecet.C.6.4.53137.]

Abstract

Mobile phones radiations are transmitted from the mobile phone towers using radiofrequency waves. These radiofrequency radiations received and sent by mobile phones in all directions. The mobile phone radiations were exposed to the human body tissues and were penetrated into it. The exposure of mobile phones radiofrequency fields is generally more than a 1000 time higher than their base stations. There are concerns of mobile phone radiofrequency radiations that could cause health problems. These mobile phone radiations are absorbed by human body can cause health problems. If such mobile phone radiations are high enough, so they cause thermal effects on human body. In this paper we find the harmful distances from the mobile phone radiofrequency waves into testis of human body. This study was done at frequencies 2100 MHz and 2300 MHz and radiated power of 1.5 Watts is taken for this study.

Growth and Characterization of Sodium Chloride Doped Lithium Sulphate Single Crystals

M.Selvapandiyan, J.Arumugam, S.Karthikeyan, M.Prasath, JECET; September 2017- November 2017; Sec. C; Vol.6. No.4, 523-530., [DOI: 10.24214/jecet.C.6.4.52330.]

Abstract

Crystal growth of inorganic nonlinear optical materials has significantly attracted in recent years because of their high value of nonlinear optical coefficients. The nonlinear optical sodium chloride doped Lithium sulphate single crystals were grown by solution growth especially solvent evaporation technique at room temperature. The form of crystallization was confirmed by single crystal X-ray diffraction study. The UV visible spectrum shows that UV cutoff wavelength of the grown crystals have less than 300 nm and have better transparency through entire visible region. Second order nonlinear optical property of the grown crystal has been confirmed by Kurtz powder second harmonic generation test. Mechanical property of grown crystal was tested using Vickers hardness tester.

Performance of a Transversely Rough Long Bearing

P. I. Andharia and Mital Patel, JECET; September 2017- November 2017; Sec. C; Vol.6. No.4, 511-522.[DOI: 10.24214/jecet.C.6.4.51122]

Abstract

An attempt has been to study and analyse the performance of a rough hydrodynamic slider bearing under the presence of magnetic fluid as a lubricant. The magnetic field is oblique to the stator and the bearing surfaces are considered to be transversally rough. The roughness of the bearing surfaces is characterized by a stochastic random variable with non-zero mean, variance and skew-ness. The modified Reynolds’ equation is stochastically averaged with respect to the random roughness parameters. This stochastically averaged equation is solved with appropriate boundary conditions to obtain the expression of pressure distribution, which is then used to calculate the load carrying capacity. Numerical integration is calculated by Simpson’s 1/3 rule. The results are presented graphically. It shows that the transverse surface roughness affects the performance of the bearing system adversely. It is revealed that the negative effect of transverse roughness can be minimized to certain extent by the positive effect of the magnetization in the case of negatively skew roughness. While designing the bearing system, the roughness must be given due to consideration.

A Review of Machine Learning Towards Precision Agriculture in Crop Production

Felipe A. Guth, Shane Ward, Kevin P. McDonnell, JECET; September 2017- November 2017; Sec. C; Vol.6. No.4, 492-510.[DOI: 10.24214/jecet.C.6.4.49210.],

Abstract

In crop production, precision agriculture applications seek to deploy different devices and systems to enhance yield and to reduce ecological impacts by optimizing inputs and timing. Around 40% of the total amount of the world food production is lost through insects, weeds and diseases occurrence in crop fields. Moreover, common farming makes use of chemical application without taking into account local specific factors, such as disease severity and minerals deficiency within the field. The last years of constant improvement of sensing technologies have generated large amounts of spatial and temporal data that represents an opportunity for the deployment of machine learning systems to assess and improve crop production. Data analysis through machine learning indicators that make computers capable of identifying and quantifying patterns taking input data by applying classification, clustering, regression and prediction algorithms. Applications of machine learning in agriculture, cover topics such as diseases and weed detection, canopy cover estimation and yield prediction. This work aims to present a review on key machine learning algorithms and assess works in the precision agriculture area that have been based on such algorithms in order to highlight the potential of this technology towards agriculture.