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Water Cycle Algorithm For Solving Optimal Reactive Power Dispatch Problem Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 K. Lenin [1], Dr.B.Ravindranath Reddy[2] ,Dr.M.Surya Kalavathi[3] Page No. 1-11 1 In this paper, a new approach, called water cycle algorithm (WCA) used for solving optimal reactive power dispatch problem. The design of the WCA as an optimization algorithm was imitative from nature after probing the whole water cycle process which involves the flow of streams and rivers into the sea in the natural world.The proposed (WCA) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed algorithm in dropping the real power loss. Key Words : Optimal Reactive Power, Transmission loss, voltage stability, Water Cycle Algorithm, Bio-inspired algorithm. http://www.scientiaresearchlibrary.com/archive-abs.php?arc=160http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-034-1-11.pdf

Multi-parametric study of sizes of dielectric barrier discharge setup and its effects on engineering of low temperature plasma jets Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 N.Jomaa, M. Yousfi[1], O. Eichwald, N.Merbahi Page No. 12-29 1 This work is devoted to the optimization of a classical setup generating a low temperature plasma jet launched in open air by using helium flow carrier gas through a glass tube. The dielectric barrier discharge setup uses a tube wrapped by two thin cylindrical external electrodes powered by a mono-polar pulsed high voltage supply. The optimization is based on a multi-parameter study covering a wide range of the tube and electrode sizes and also the dielectric permittivity of the tube. The aim is to analyze individually the effect of each of these tube parameters on the magnitude of the geometric downstream electric field which is directly correlated to the efficiency of the dynamics of the generated ionization waves or plasma bullets. Such correlations are shown by using fluid modeling of plasma jet dynamics and experimental measurements of discharge current and plasma jet length. Two distinct configurations of the plasma jet setup have been considered: a standard configuration and an experimental optimized one. The optimization of plasma jet characteristics has shown that for a fixed high voltage magnitude (5kV), the optimal jet length is reached for the lowest dielectric permittivity, the smallest downstream electrode width, the largest upstream electrode width, the thinnest electrode thickness, the smallest inter-electrode distance, the thinnest tube thickness and the smallest tube diameter. This allows us to suggest a theoretical optimal configuration that gives a maximum value of downstream electric field about 5 times higher than the standard case. This theoretical optimal configuration enables to design electric power supply using voltage about 5 times lower (1 kV) than the standard voltage (5kV)to generate the same low temperature plasma jet. http://www.scientiaresearchlibrary.com/archive-abs.php?arc=178http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-035-12-29.pdf

Restoration of Automated Video Enhancement in Image Processing Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Suganya Devi. K[1] , Selvamani. K[2],Jayaraj .S[3] Page No. 30-36 1 The new approach is proposed in this paper capable of restoring a single high-quality image from a given image sequence distorted by atmospheric turbulence To correct geometric distortion and reduce space and time-varying blur, This approach reduces the space and time-varying deblurring problem to a shift invariant one. Next, a temporal regression process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space invariant near-diffraction-limited blur. Blind deconvolution problems arise in many image restoration applications. Most available blind deconvolution methods are iterative. A novel non-iterative blind deconvolution method. Finally, contrast enhancement is applied. We further propose a learningbased metric specifically for image quality assessment in the presence of atmospheric distortion. A novel non-iterative blind deconvolution algorithm is implemented to remove diffraction-limited blur from the fused image to generate the final output. Experiments using controlled and real data illustrate that this approach is capable of alleviating geometric deformation and space-time varying blur caused by turbulence, recovering unprecedented details of the scene and significantly improving visual quality. Key Words : High Quality image, Blind Deconvolution, Visual Quality http://www.scientiaresearchlibrary.com/archive-abs.php?arc=179http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-36-30-36.pdf

Enhanced Mutual Aid Packet Delivery in Wireless Infrastructureless Networks Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Prof. S.Krishnamoorthy[1],M.Punithavalli[2] Page No. 37-45 1 A coalitional game is developed to analyze the behavior of the rational mobile nodes for cooperative packet delivery. We consider the problem of cooperative packet delivery to mobile nodes in a hybrid wireless mobile network, where both infrastructure-based and infrastructure-less communications are used. A group of mobile nodes makes a decision to join or to leave a coalition based on their individual payoffs . The individual payoff of each mobile node is a function of the average delivery delay for packets transmitted to the mobile node from a base station and the cost incurred by this mobile node for relaying packets to other mobile nodes. We propose a solution based on a coalition formation among mobile nodes to cooperatively deliver packets among these mobile nodes in the same coalition. To find the payoff of each mobile node, a Markov chain model is formulated and the expected cost and packet delivery delay are obtained when the mobile node is in a coalition. Since both the expected cost and packet delivery delay depend on the probability that each mobile node will help other mobile nodes in the same coalition to forward packets to the destination mobile node in the same coalition, a bargaining game is used to find the optimal helping probabilities. After the payoff of each mobile node is obtained, we find the solutions of the coalitional game which are the stable coalitions. A distributed algorithm is presented to obtain the stable coalitions and a Markov-chainbased analysis is used to evaluate the stable coalitional structures obtained from the distributed algorithm. Performance evaluation results show that when the stable coalitions are formed, the mobile nodes achieve a nonzero payoff . With a coalition formation, the mobile nodes achieve higher payoff than that when each mobile node acts alone. Key Words : Hybrid wireless network, social network analysis, cooperative packet delivery, coalitional game, bargaining game, carry-and-forward based data delivery http://www.scientiaresearchlibrary.com/archive-abs.php?arc=180http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-37-37-45.pdf

Optimizing the Energy by Using BMS HVAC System Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Zubair Ahmed[1a], Ashfaq Ahmad[1b], Fahad Farooq[2a], M.Shafiq[1c], Zain Anwar Ali[2b] Page No. 46-52 1 The main objective of this research is to minimize the usage of Electrical Energy by using BMS (Building Management System) HVAC (Heating Ventilating Air Conditioner System) and control the consumption of electric power by installing a suitable system in buildings like offices, universities also for the residency apartments. On the other hand PLC (Programmable Logic Controller) is used as a backbone Controller of system in which Schneider PLC and software Twido Suite is used for testing and simulating all the values of sensors. The result shows that system can work successfully in the environment and capable of optimizing the energy. Key Words : HVAC, BMS, Energy Optimization http://www.scientiaresearchlibrary.com/archive-abs.php?arc=181http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-38-46-52.pdf

Quantitative Analysis of the Digital Elevation Models Generated with IDW Algorithm of Changing Power Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Fahmy F. F. Asal Page No. 53-64 1 This research applies quantitative analysis techniques on DEMs generated using the Inverse Distance Weighting (IDW) interpolator of different powers in order to examine the effects of the variation of the power on the accuracy of the elevations extracted from that DEMs. Real elevation data has been collected from field using ground surveying techniques with a total station instrument in a hilly corrugated terrain. DEMs have been generated from the elevation data at a unified grid cell size using IDW interpolator with varying powers starting from a power of one and ending by a power of ten. Quantitative analysis has been carried out on the DEMs using three different testing and analysis techniques; evaluation of the contour-line maps of the difference between DEMs, analyzing profiles extracted from the DEMs, then performing accuracy assessment of the extracted elevations from the DEMs using independent external checkout measurements. The analysis has shown that IDW faces difficulty in interpolating elevations in highly corrugated areas however; the interpolation operation improves with increasing the power of the IDW till the power of four. Also, at breaklines IDW with power of one faces the maximum difficulty in estimating elevations with a tendency of smoothing and approximating the DEM. Additionally, the maximum differences between profiles extracted from lower power DEMs and those from higher power DEMs have been at the corrugated parts of the terrain while at gentle terrains the profiles from different DEMs run close to each others. Finally, the accuracy of the DEM records the maximum improvements (about 95%) when changing from the power of one to the power of two. Key words:- DEM/DTM/DSM, Ground Surveying, IDW, Digital Mapping, Spatial Accuracy http://www.scientiaresearchlibrary.com/archive-abs.php?arc=182http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-039-53-64.pdf

Research on Hogging Process of Crankshafts With Five Rod Journals Because of Fillets Stamping Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Professor Valery Emelyanov Page No. 65-69 1 The paper presents the results of experimental and computer research on hogging process of spatial crankshafts with five rod journals at hardening their fillets by stamping. We describe the computer program with which it is possible to produce a computer research on the influence of various factors such as crankshaft hogging value, to calculate an expected value and a direction of hogging, as well as to choose a combination of strengthened fillets rates where the total hogging value is the smallest. Keywords : crankshaft, fillets, stamping, hogging, computer program. http://www.scientiaresearchlibrary.com/archive-abs.php?arc=183http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-040-65-69.pdf

Prediction of Compressive Strength of Concrete with a Skewed Pattern- Application of Artificial Neural Network Approach Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 A. Rahman[1a], M. Hadiuzzaman[2], Ajit K. Majumder[3], M. N. Uddin[4] Page No. 70-80 1 Concrete has a versatile use in the construction practice for its availability, cheap rate, and flexibility of handling. As a result, in the construction process it is always important to measure the concrete compressive strength as strength properties of cement paste mixture. A smart modeling approach Artificial Neural Networks(ANNs) have recently been introduced as an efficient and powerful modeling technique for applications involving a large number of variables, especially with highly non-linear and complex interactions among input/output variables. In this paper, an artificial neural network of the feed-forward back-propagation type has been applied as a data treatment technique. The 28-day compressive strength values are considered as the aim of the prediction. A total of 269 specimens are selected. The system is trained and validated using 188(70%) pairs chosen randomly from the data set and tested using the remaining 81(30%) pairs. Results indicate that models performed quite well in predicting the compressive strength in case of training dataset and also for independent data set. Keywords : Concrete compressive strength, Artificial Neural Network (ANN), feed-forward back propagation, skewed distribution. http://www.scientiaresearchlibrary.com/archive-abs.php?arc=184http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-041-70-80.pdf

Comparative Analysis of IDW and Spline in Generation of Digital Elevation Models from Airborne LiDAR in Bare Lands Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Fahmy F. F. Asal Page No. 81-92 1 Light Detection and Ranging (LiDAR) is a recently established remote sensing technology, however its capabilities have not been fully exploited. Airborne Laser Scanning (LiDAR) is characterized by high density of point measurements that can be utilized in creation of digital elevation model (DEM) with levels centimetre accuracy. Since LiDAR measurements are always in discrete point data format, there is always a need for interpolation operations in order to create a continuous surface forming a DEM. As different interpolation techniques are expected to provide different quality DEMs it has been important to analyze the outcomes from those techniques. This research is focused towards evaluation of DEMs generated from raw airborne LiDAR measurements in bare lands using the Inverse Distance Weighting (IDW) and the spline interpolation approaches. A sample of raw LiDAR data for Gilmer county, USA has been exploited in the study. Digital elevation models have been generated from the data using IDW and spline approaches using a specialized spatial analysis system. A well designed group of qualitative and quantitative analysis tests have been exploited in the analysis of the generated DEMs. The analysis has shown that the spline approach has provided DEM of more corrugated surface, coarser tones and coarser texture compared to the DEM produced by the IDW algorithm. Also, IDW DEM possesses statistical quantities that are close to their correspondings of the raw LiDAR data while the spline DEM has statistical values with noticeable deviations from those of the raw LiDAR data. Additionally, spline DEM has provided corrugated contour lines in addition to numbers of tinny closed contour lines that could be spikes while the IDW has provided smoother contour lines with absence of any spikes. Finally, the slope map from IDW LiDAR DEM has shown fine tones, smooth texture and regular patterns referring to a terrain of gently varied slopes while the spline LiDAR DEM has interpreted coarser tone, coarser texture and disturbed patterns referring to corrugated slopes of the terrain. Key words:- DTM/DEM/DSM, IDW, Spline, LiDAR, Airborne Laser Scanning, Spatial analysis. http://www.scientiaresearchlibrary.com/archive-abs.php?arc=185http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-042-81-92.pdf

Fuzzy Logic Controlled Automatic Vacuum Cleaner Scientia Research LibraryJournal of Engineering and Technology Research2348 - 0424201422 Tayyab Waqar[1], Mustafa Demetgl[2] Page No. 93-100 1 The main aim of this paper is to successfully develop an intelligent vacuum cleaner, which can control its suction power and vary it according to the size, quantity and type of the trash to be picked, with the help of fuzzy logic. Type, size, quantity of trash and type of surface are input quantities which are to be sensed by the system. Depending on those sensed information, system decides the percentage of suction power to be used; which is the output quantity of the system. In total, 112 rules are formed which produces adequate results. The total outcome will be the intelligent consumption of power which results in reductions in electric bills. Key words:- Intelligent suction control, Rule based Fuzzy logic, Surface detection Vacuum cleaner http://www.scientiaresearchlibrary.com/archive-abs.php?arc=186http://www.scientiaresearchlibrary.com/archive/JETR-2014-2-2-043-93-100.pdf