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Search Results: 1 - 10 of 225456 matches for " Suresh R Devasahayam "
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A Comparison of Pinch Force between Finger and Palm Grasp techniques in Laparoscopic Grasping  [PDF]
Susmitha Wils K, George Mathew, M. Manivannan, Suresh R Devasahayam
Engineering (ENG) , 2012, DOI: 10.4236/eng.2012.410B012

Laparoscopic surgery is a new abdominal surgical procedure which helps the patients in many ways like less hospital stay, faster recovery and reduced pain. The main disadvantage in this surgical procedure is the reduced haptic perception by the surgeons due to the usage of laparoscopic instrument to handle tissues which in turn cause damage of it as compared to an open surgery. The primary aim of this investigation was to compare the pinch force applied during two different methods of laparoscopic grasping: Finger and Palm grasp. A low cost force sensing resistor tailor made for the grasper tip was designed and fabricated for quantifying the grasper tip force in the study. The results indicate more pinch force was applied during palm grasp as compared to finger grasp so as to prevent the slippage of the tissues from the jaws of the laparoscopic graspers.

Dimensions of the foveal avascular zone using the Heidelberg retinal angiogram-2 in normal eyes
John Deepa,Kuriakose Thomas,Devasahayam Suresh,Braganza Andrew
Indian Journal of Ophthalmology , 2011,
Abstract: Purpose: The purpose was to study the dimensions of the foveal avascular zone (FAZ) using Heidelberg Retinal Angiogram-2 (HRA-2; Heidelberg Engineering GmBH, Dossenheim, Germany). Materials and Methods: An observational study of the FAZ area and circumference was done with fundus fluorescein angiography (FFA) using HRA-2 in 31 normal individuals. The FAZ was studied using both contrast-adjusted and nonadjusted methods. Contrast adjustment was done to obtain better visualization of the finer capillaries around the fovea enabling more precise measurements of the FAZ in normal eyes. Results: The mean area of the FAZ calculated by the contrast-adjusted method was 0.2753 mm 2 (±0.074) and the mean circumference was 2.22 mm (±0.048). By the conventional method, the area and circumference of the FAZ were 0.6241 mm 2 (±0.177) and 3.23 mm (±0.454), respectively. Conclusion: The measurements of area and circumference of FAZ using contrast-adjusted methods were significantly smaller than the conventional method.
Design and Implementation of Bi-Directional DC-DC Converter for Wind Energy System  [PDF]
K. Suresh, Dr. R. Arulmozhiyal
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.711311
Abstract: This paper proposes a design and implementation of the bi-directional DC-DC converter for Wind Energy Conversion System. The proposed project consists of boost DC/DC converter, bi-directional DC/DC converter (BDC), permanent magnet DC generator and batteries. A DC-DC boost converter is interface with proposed wind system to step up the initial generator voltage and maintain constant output voltage. The fluctuation nature of wind makes them unsuitable for standalone operation. To overcome the drawbacks an energy storage device is used in the proposed system to compensate the fluctuations and to maintain a smooth and continuous power flow in all operating modes to load. Bi-directional DC-DC converter (BDC) is capable of transforming energy between two DC buses. It can operate as a boost converter which supplies energy to the load when the wind generator output power is greater than the required load power. It also operates in buck mode which charges from DC bus when output power is less than the required load power. The proposed converter reduces the component losses and increases the performance of the overall system. The complete system is implemented in MATLAB/SIMULINK and verified with hardware.
Investigation into Failure in Mining Wire Ropes—Effect of Crystallinity  [PDF]
Sheila Devasahayam, Veena Sahajwalla, Michael Sng
Open Journal of Organic Polymer Materials (OJOPM) , 2013, DOI: 10.4236/ojopm.2013.32006
Abstract: A range of blends of polypropylene-polyethylene are investigated for their mechanical performances. These speciality polymer blends are chemically designed to suit high modulus/high load bearing mining wire rope applications subjected to continued bending and tensile stresses and fluctuating loads and are exposed to extreme weather conditions. In this paper we study the influence of different parameters on the performance of the wire ropes: chemistry of polymer, crystallinity of the polymer matrix, and the morphology. The FTIR and SEM studies revealed that the high fraction of polypropylene in polypropylene-polyethylene matrix lead to early failure as a result of incompatibility and phase segregation and high spherulite sizes of the polymer matrix.

Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India  [PDF]
N. Suresh Nathan, R. Saravanane, T. Sundararajan
Journal of Geoscience and Environment Protection (GEP) , 2017, DOI: 10.4236/gep.2017.53008
Abstract: With respect to groundwater deterioration from human activities a unique situation of co-disposal of non-engineered Municipal Solid Waste (MSW) dumping and Secondary Wastewater (SWW) disposal on land prevails simultaneously within the same campus at Puducherry in India. Broadly the objective of the study is to apply and compare Artificial Neural Network (ANN) and Multi Linear Regression (MLR) models on groundwater quality applying Canadian Water Quality Index (CWQI). Totally, 1065 water samples from 68 bore wells were collected for two years on monthly basis and tested for 17 physio-chemical and bacteriological parameters. However the study was restricted to the pollution aspects of 10 physio-chemical parameters such as EC, TDS, TH, \"\" , Cl-, \"\" , Na+, Ca2+, Mg2+ and K+. As there is wide spatial variation (2 to 3 km radius) with ground elevation (more than 45 m) among the bore wells it is appropriate to study the groundwater quality using Multivariate Statistical Analysis and ANN. The selected ten parameters were subjected to Hierarchical Cluster Analysis (HCA) and the clustering procedure generated three well defined clusters. Cluster wise important physio-chemical attributes which were altered by MSW and SWW operations, are statistically assessed. The CWQI was evolved with the objective to deliver a mechanism for interpreting the water quality data for all three clusters. The ANOVA test results viz., F-statistic (F = 134.55) and p-value (p = 0.000 < 0.05) showed that there are significant changes in the average values of CWQI among the three clusters, thereby confirming the formation of clusters due to anthropogenic activities. The CWQI simulation was performed using MLR and ANN models for all three clusters. Totally, 1 MLR and 9 ANN models were considered for simulation. Further the performances of ten models were compared using R2, RMSE and MAE (quantitative indicators). The analyses of the results revealed that both MLR and ANN models were fairly good in predicting the CWQI in Clusters 1 and 2 with high R2, low RMSE and MAE values but in Cluster 3 only ANN model fared well. Thus this study will be very useful to decision makers in solving water quality problems.
Spatial Variability of Ground Water Quality Using HCA, PCA and MANOVA at Lawspet, Puducherry in India  [PDF]
N. Suresh Nathan, R. Saravanane, T. Sundararajan
Computational Water, Energy, and Environmental Engineering (CWEEE) , 2017, DOI: 10.4236/cweee.2017.63017
Abstract: In ground water quality studies multivariate statistical techniques like Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Multivariate Analysis of Variance (MANOVA) were employed to evaluate the principal factors and mechanisms governing the spatial variations and to assess source apportionment at Lawspet area in Puducherry, India. PCA/FA has made the first known factor which showed the anthropogenic impact on ground water quality and this dominant factor explained 82.79% of the total variance. The other four factors identified geogenic and hardness components. The distribution of first factor scores portray high loading for EC, TDS, Na+ and Cl (anthropogenic) in south east and south west parts of the study area, whereas other factor scores depict high loading for HCO3, Mg2+, Ca2+ and TH (hardness and geogenic) in the north west and south west parts of the study area. K+ and SO42 (geogenic) are dominant in south eastern direction. Further MANOVA showed that there are significant differences between ground water quality parameters. The spatial distribution maps of water quality parameters have rendered a powerful and practical visual tool for defining, interpreting, and distinguishing the anthropogenic, hardness and geogenic factors in the study area. Further the study indicated that multivariate statistical methods have successfully assessed the ground water qualitatively and spatially with a more effective step towards ground water quality management.
When We Eat What We Eat: Classifying Crispy Foods in Malaysian Tamil Cuisine
Theresa W. Devasahayam
Anthropology of Food , 2003,
Abstract: This paper examines the gastronomic rules that determine when and why “crispy foods” are eaten within the Tamil community of Malaysia. Based on ethnographic fieldwork of twenty-five Tamil Hindu families living in the Klang Valley of Peninsular Malaysia, everyday and festive culinary life reveal foods that are classified into categories of ‘crispy” and “soft/wet”. Situation and context determine the kind of “crispy” foods consumed. While savoury crispy foods are reserved for meals, a mixture of the savoury and sweet are eaten as snacks. I draw upon the observations of Claude Levi-Strauss, Mary Douglas and Michael Nicod to examine the processes of defining the inclusion and exclusion of particular “crispy” foods at meals and as snacks. My conclusion focuses on the textural composition of these foods, which highlights the “playful” dimension of eating and, hence, what is termed as “crispy” foods are not treated as “real” food.
Microsporidia in Stools from Cancer Patients
R. Angela,K. Suresh
Research Journal of Medical Sciences , 2012,
Abstract: Abstract not available.
A Genetic Algorithm Approach to Solve Mobile Base Station Location Problem
S. Sakthivel,R. Suresh
International Journal of Soft Computing , 2012,
Abstract: Classical coverage models, adopted for second-generation cellular systems, are not suited for planning Universal Mobile Telecommunication System(UMTS) Base Station(BS) location because they are only based on signal predictions and do not consider the traffic distribution, the signal quality requirements and the Power Control(PC) mechanisms. In this study, we discuss mathematical programming models aimed at supporting the decisions in the process of planning where to locate new BS. These models consider the signal-to-interference as quality measure and capture at different levels of detail the signal quality requirements and the specific Power Control (PC) mechanism of the W-CDMA air interface. Given that these UMTS BS location models are Non-Polynomial (NP)-hard problem, we propose enumerative methods and Genetic Algorithm (GA) to find good approximate solutions for this model. A new method and tool for optimizing the base station locations, based on Genetic Algorithms, is presented along with simulation results. This text discusses the main issues in planning a third generation mobile network and presents an initial mathematical formulation for the problem. The results indicate that it is possible to arrive at higher quality solutions in reasonable time. The goals and the present status of our research are also discussed
A Genetic Algorithm Approach for Assigning Mobile Base Stations to Switches in Cellular Mobile Networks
S. Sakthivel,R. Suresh
International Journal of Soft Computing , 2012,
Abstract: In this study, we investigate a specific optimization problem involving the optimal assignment of mobile base stations to switches which minimize cost. This assumes that all base stations locations are fixed and known. The cost has two components, one is the cost of handoffs that involves two switches and the other is the cost of cabling. This problem is modeled as a complex integer programming problem and it is an NP-hard problem which, for real size mobile networks, could not be solved using exact methods. Well-known in the literature as an NP-hard combinatorial optimization problem, this problem requires recourse to heuristic methods in order to obtain good (not necessarily optimal) solutions within a practical amount of time. In this context, heuristic approaches a Genetic Algorithm (GA) can be used. This study proposes a genetic algorithm to solve this problem. The implementation of this algorithm has been subject to extensive tests. The result obtained confirms the efficiency and the effectiveness of GA to provide good solutions for moderate- and large-sized cellular mobile networks. The goals and the present status of our research are also discussed.
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