Informatics Publishing Limited

S. Shanmugasundaram

Abstract

Forest Management in India is century old. During this long span of time many technological and managerial events have taken place. Nevertheless, the five basic issues on which the entire forestry activites revolve have not been solved with our arts on hand. The Issues and State of Art are reviewed so as to equip ourselves for the approaching 21st century.

Full Text

     

S. Shanmugasundaram ¹, A. Shanmugavadivu ²

Affiliations
1 Government Arts College, Salem-7, IN
2 K.S.R College of Engineering, Tiruchengode, IN

Abstract

AM/M/1 Queueing model with time dependent solution for single server queuing model with Markovian arrival and Markovian service time for busy period is derived and we find the various probabilities of number of units present in the system  and number of units leave the system at that  instant  t  during the busy period using the difference and difference equation technique. The numercial study for various aspects are discussed.

Keywords

Busy Period, Co-Efficient of Variance, Markovian Distribution, Mean, Moments, P_n(t), Q_n(t), Transient State, Variance.

Full Text

     

S. Shanmugasundaram ¹, Z. John Kennedy ¹, V. Thirupathi ¹, L. Narayanan ¹

Affiliations
1 Department of Food and Agricultural Process Engineering, Agricultural Engineering College and Research Institute, Coimbatore - 641 003, IN

Abstract

The banana perhaps the cheapest and most extensively consumed fruit, have carbohydrates in the form of sucrose, fructose and glucose with low fat content. Banana by itself makes a wholesome food for all ages as it contains almost all essential nutrients including minerals and vitamins. Banana is a good source of potassium, which is a vital mineral for muscle and nerve function.

Full Text

     

P. Vijayalakshmi ¹, M. Amirtha Veni ¹, S. Shanmugasundaram ², Samson Tsou ³

Affiliations
1 Department of Family and Community Science, Avinashilingam Deemed University, Coimbatore - 641 043, IN
2 Avinashilingam Deemed University, Coimbatore - 641 043, IN
3 Asian Vegetable Research, Development Centre, TW

Abstract

Anaemia continues to be the most prevalent micro nutrient disorder world over among all age groups with special emphasis on women.

Full Text

     

P. Palanisamy ¹, I. Rajendran ², S. Shanmugasundaram ³

Affiliations
1 Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu-641006, IN
2 Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu-638401, IN
3 Government College of Technology, Coimbatore, Tamilnadu-641013, IN

Abstract

This paper presents the development of regression based statistical mathematical model and use of artificial neural network for the prediction of tool wear In end milling operation. As end milling process is one of the important machining processes to produce complicated surfaces, it has been considered in this work. Regressions models are developed In order to capture process specific combination of machining parameters to predict tool wear. Cutting speed, feed, depth of cut have been considered as the input parameters and tool flank wear as output parameters to develop the model. Experiments were conducted in CNC Milling center on machining EN 28 steel specimens using HSS cutter. Design of experiments (DOE) technique is used to conduct the experimentation. The experimental values are used to develop the regression model and feed forward back propagation artificial neural network model with different number of nodes in hidden layer. The developed models are compared and it is found that the results obtained from neural network are the accurate in predicting tool wear.

Full Text

     

S. Shanmugasundaram ¹, N. B. Swetha ¹, S. Gopalakrishnan ²

Affiliations
1 Sree Balaji Medical College and Hospital, Bharath Institute of Higher Education and Research, Chennai, IN
2 Department of Community Medicine, Sree Balaji Medical College and Hospital, Bharath Institute of Higher Education and Research, Chennai, IN

Abstract

Background: Electronic device gadget which was once considered as an extravagance of the prosperous has now turned into an imperative one. To begin with, it was the radio, at that point the phone, and the TV, pursued rapidly by the web. The current-day interest with the electronic contraption (e.g., cell phones) is the most recent innovation that seems, by all accounts, to be urging individuals to invest moderately more energy with innovation and less with individual people. Cell phone dependence is a quickly expanding variable that effects physical, mental and social wellbeing. Cell phone fixation may prompt less and less fortunate rest. Point: To evaluate the electronic device utilization design among the restorative understudies and furthermore to decide its impacts on nature of rest accomplished by them. Techniques: Subjects of age gathering of 18-25 years in a restorative school of Chennai were chosen. An example space of 200 youthful grown-ups is taken by helpful inspecting technique during the investigation term.. The inquiries were arranged for the most part to comprehend the connection between the cell phone utilization and rest. Results: In this examination, it was discovered that about 52% of the members dozed not exactly the required least of 6 hours out of each day. Practically 58% of the members have the propensity for utilizing an electronic contraption directly before resting. Upto 67% of the members had the propensity for utilizing an electronic device in obscurity. Conclusion: Students ought to be urged to accomplish ordinary rest and maintain a strategic distance from the utilization of any sort of electronic gadget before rest. Individuals ought to be instructed to utilize blue light channel which was demonstrated to be successful in improving rest quality as blue light incites melatonin arrangement which thus animates the cerebrum to remain conscious prompting poor rest quality.

Keywords

Cell Phones, Rest Aggravations, Blue Light Channel.

Full Text

     

G. Kowsalya ¹, S. Shanmugasundaram ²

Affiliations
1 Department of Chemistry, PSGR Krishnammal College for Women, Coimbatore, Tamil Nadu,, IN
2 Department of Chemistry, PSGR Krishnammal College for Women, Coimbatore, Tamil Nadu, IN

Abstract

Virtual screening of flavanone against RdRp of SARS-CoV-2 was carried out using AutoDock Vina and ligPlot. Out of 16 compounds screened, Eriodictyol, Naringin, Hesperidin Methylchalcone were found to have good affinity values for binding. While Eriodictyol binds to amino acids, R836, K849, R858, Naringin binds to S814, R836, R858 and Hesperidin Methylchalcone binds to amino acids D760, S814, R836 amino acids are present in RdRp of covid19. Since these amino acids bind to the primer RNA, binding of flavanones to these amino acids could destabilize the replication complex and may inhibit viral RNA replication. All the compounds pass ADMET test indicating their drug potential.

Keywords

SARS-CoV-2, RNA Dependent RNA polymerase (RdRp), Flavanone, drug like properties.

Full Text