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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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