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Search Results: 1 - 10 of 200644 matches for " P. Senthilkumar "
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GA Based Heuristic to Minimize Makespan in Single Machine Scheduling Problem with Uniform Parallel Machines  [PDF]
P. Senthilkumar, S. Narayanan
Intelligent Information Management (IIM) , 2011, DOI: 10.4236/iim.2011.35025
Abstract: This paper considers the single machine scheduling problem with uniform parallel machines in which the objective is to minimize the makespan. Four different GA based heuristics are designed by taking different combinations of crossover methods, viz. single point crossover method and two point crossover method, and job allocation methods while generating initial population, viz. equal number of jobs allocation to machines and proportionate number of jobs allocation to machines based on machine speeds. A detailed experiment has been conducted by assuming three factors, viz. Problem size, crossover method and job allocation method on 135 problem sizes each with two replications generated randomly. Finally, it is suggested to use the GA based heuristic with single point crossover method, in which the proportionate number of jobs allocated to machines based on machine speeds.
Hepatoprotective Activity of Ethanolic Extract of the Stems of Anisochilus Carnosus against Carbon Tetrachloride-induced Hepatotoxicity in Rats
P Venkatesh, A Dinakar, N Senthilkumar
International Journal of Health Research , 2010,
Abstract: Purpose: To evaluate the hepatoprotective activity of ethanolic extract of the stems of Anisochilus Carnosus (EEAC) against carbon tetrachloride (CCl4) induced hepatotoxicity in rats. Methods: Hepatotoxicity was induced in albino Wistar rats of either sex by intraperitoneal injection of CCl4 in olive oil (1:1). Two doses of ethanolic extract of Anisochilus Carnosus (200 and 400 mg/kg body weight) were administered to the experimental rats. The hepatoprotective effect of the extract was evaluated by the assay of liver function biochemical parameters like serum glutamate pyruvate transaminase, serum glutamate oxaloacetate transaminase, alkaline phosphatase, total bilirubin and total protein. Results: In ethanolic extract treated animals, the toxic effect of CCl4 was significantly controlled by the plant extract as compared to the normal and the standard drug silymarin treated group. Conclusion: Ethanolic extract of stems of Anisochilus Carnosus possesses significant hepatoprotective activity.
Study of Acoustic Emission Sensor Techniques for Monitoring Machining Processes
S. Sundaram,P. Senthilkumar,N. Manoharan
Journal of Engineering and Applied Sciences , 2012,
Abstract: Condition monitoring of machining process denotes a control system that measures certain output variables, which are in turn used to control speed and or feed. The popular process variables that have been used to monitor the machining process are force, torque, cutting temperature, vibration amplitude and horsepower. However, this study deals with the application of the Acoustic Emission (AE) sensor for monitoring the machining processes. The application of this AE technique to machining processes started only two decades back and prior to that only very little work had been done in this field. Hence, a presentation has been made to highlight the works of various investigators from 1999-2005 using acoustic emission as a tool in monitoring machining process. The research done in monitoring machining processes using AE Techniques have been grouped into mainly 2 categories of monitoring Via, Turning, Milling and they are discussed accordingly. Some trails to take full advantage of the AE sensor for tool condition monitoring will be conducted relating to the sensor mounting and the signal processing. As a practical solution for the AE sensor mounting, for example, the coolant stream is successfully used as a medium for transmitting the AE wave in the case of milling processes monitoring. The sensor has mounted in the coolant pump nozzle l with other necessary drives so that the AE signal can be transmitted to the outside of the cutter by radio. By applying these methods, it has become possible to take the AE signal from the rotating tools. In terms of AE, signal processing for identifying an emerging technique for in process monitoring of various machining process.
Energy dynamics in the C4 species dominated montane subtropical grassland at Nilgiri Biosphere Reserve, the Western Ghats, India

M Sivashanmugam,S Paulsamy,P Senthilkumar,

生态学报 , 2009,
Abstract: The energy dynamics in Thiashola grassland, a montane subtropical vegetation in Nilgiri Biosphere Reserve, the Western Ghats, India is studied for a period of one year. The study revealed that the energy content in unit biomass of C3 and C4 species has not varied significantly. However, the C4 species in total due to higher net primary production, entrapped 8.5 times greater solar energy (28.82 kcal/m2/day) than that of their C3 counterparts. Of the total energy fixed, the C3 and C4 species, respectively channeled 4.07 kcal/m2/day and 13.3 kcal/m2/day to the aboveground standing live compartment. The transfer rate of energy to standing dead compartment from standing live part were 3.22 kcal/m2/day and 10.36 kcal/m2/day for C3 and C4 species, respectively and both the C3 and C4 together transferred 4.81 kcal/m2/day of energy from standing dead to litter compartment. The total dissipation of energy from the system is determined to be 4401.11 kcal/m2/yr and the surplus quantity of 38.37% of energy is accumulated in the aboveground parts of both C3 and C4 species which indicates the availability of substantial amount of energetic fodder to the wild herbivores in the Thiashola grassland.
Mixed refrigerants suitability analysis using artificial neural networks
N. Austin,P. Senthilkumar,S. Purushothaman
Journal of Engineering and Applied Sciences , 2012,
Abstract: This paper presents an artificial neural network approach with back propagation algorithm (BPA) to find an alternative to Chloroflurocarbon (CFC) by considering the mixture of Hydro fluorocarbon (HFC) and Hydrocarbon (HC). The thermodynamic properties of refrigerants are obtained usinf REFPROP 9. Correspondingly, the Coefficients of Performances (COPs) of the mixed refrigerants have been obtained. The testing of the ANN shows high performance in estimating the closest COP.
Analysis of Unequal Areas Facility Layout Problems
P. Arikaran, Dr. V. Jayabalan,& R. Senthilkumar
International Journal of Engineering , 2010,
Abstract: The facility layout design has been regarded as the key to improve plantproductivity, which are relevant to both manufacturing problems; variousoptimization approaches for small problems and heuristic approaches for thelarger problems have been proposed to elucidate the problem. Unequal areafacility layout problems comprise a class of extremely difficult and widelyapplicable optimization problems, arising in many diverse areas. There aremany variations on the basic formulation, involving alternative objectivefunctions, side constraints, distance metrics, cost measures, and facilityshapes. Various techniques were applied after finding the solution throughtraditional methods to get much improved optimum solutions. Differentheuristics were used to solve the unequal area facility layout problems. Multiobjectiveapproaches are the norm and developing facility layout software usingmeta-heuristics such as simulated annealing (SA), genetic algorithm (GA), antcolony algorithm (ACO), and concurrent engineering is prevailing nowadays.Sometimes hybrid approaches were used by applying combination of abovetechniques i.e. combining high level genetic algorithm with simulated annealingor genetic algorithm followed by simulation techniques to get the bettersolutions. Application of these facility lay out designs includes constructionsites, manufacturing industry and service industries.and service sectors.Facility Layout Problems (FLPs) are known to be NP-hard
Experimental Studies on Disposal of Various Industrial Solid Wastes
K. Senthilkumar,V. Sivakumar,P. Akilamudhan
Modern Applied Science , 2009, DOI: 10.5539/mas.v2n6p128
Abstract: In the present study, solid waste from various industries has been collected and characterized. Based on the nature and composition of solid waste, the possible chemical composition is evaluated and value added products are prepared. Methods for conversion of solid wastes into building materials such as bricks and concrete blocks have been described. Mixing of solid waste in various proportions with red soil also carried out as pot experiment. From the results of various tests on final product, it is concluded that solid waste can be used suitably to produce bricks with 25-30% of sludge, for concrete blocks with 45-50% of sludge. By applying this type of alternative, solid waste could be disposed off in a better way without affecting the existing environment.
Annelida, Oligochaeta, Megascolecidae, Pontodrilus litoralis (Grupe, 1985): First Record from Pondicherry Mangroves, Southeast Coast of India
P. Satheeshkumar,Anisa Basheer Khan,D. Senthilkumar
International Journal of Zoological Research , 2011,
Abstract: This study reports the first record of the genus Pontodrilus litoralis (Grupe, 1985) in Pondicherry mangroves, southeast coast of India. Forty one adult specimens have been found in the Thengaithittu lagoon and Murungapakkam mangrove site during September 2008-March 2010. A detailed study is presented in order to clearly assign the species to the Pondicherry mangroves, in Union territory Puducherry. According to our knowledge this is the first report from Indian mangroves.
Literature Review of Single Machine Scheduling Problem with Uniform Parallel Machines  [PDF]
Panneerselvam Senthilkumar, Sockalingam Narayanan
Intelligent Information Management (IIM) , 2010, DOI: 10.4236/iim.2010.28056
Abstract: This paper presents a survey of single machine scheduling problem with uniform parallel machines. The single machine scheduling problem with uniform parallel machines consists of n jobs, each with single operation, which are to be scheduled on m parallel machines with different speeds. These parallel machines are also called proportional machines or related machines. There are several measures of performance which are to be optimized in uniform parallel machines scheduling. Since, this scheduling problem is a combinatorial problem; usage of a heuristic is inevitable to obtain solution in polynomial time. This paper gives a classification of the literatures of this scheduling problem in three major categories, viz. offline scheduling, online scheduling and miscellaneous scheduling. In total, the available literatures are classified into 17 subgroups. Under each of the first two categories, the available literatures are discussed under different groups based on different measures of performance and non-preemptive/preemptive nature of the jobs. In the last category, the literatures are discussed under three subgroups, namely non-preemptive jobs, preemptive jobs and periodic jobs.
QoS Aware Power and Hop Count Constraints Routing Protocol with Mobility Prediction for MANET Using SHORT  [PDF]
Senthilkumar Maruthamuthu, Somasundaram Sankaralingam
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.43023
Abstract: A mobile ad hoc network (MANET) is composed of mobile nodes, which do not have any fixed wired communication infrastructure. This paper proposes a protocol called “Delay, Jitter, Bandwidth, Cost, Power and Hop count Constraints Routing Protocol with Mobility Prediction for Mobile Ad hoc Network using Self Healing and Optimizing Routing Technique (QPHMP-SHORT)”. It is a multiple constraints routing protocol with self healing technique for route discovery to select a best routing path among multiple paths between a source and a destination as to increase packet delivery ratio, reliability and efficiency of mobile communication. QPHMP-SHORT considers the cost incurred in channel acquisition and the incremental cost proportional to the size of the packet. It collects the residual battery power of each node for each path; selects multiple paths, which have nodes with good battery power for transmission to satisfy the power constraint. QPHMP-SHORT uses Self-Healing and Optimizing Routing Technique (SHORT) to select a shortest best path among multiple selected paths by applying hops count constraint. It also uses the mobility prediction formula to find the stability of a link between two nodes.
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