IJEA - Volume 4 Issue 6 (June 2015)

 


Sr/No/ Title Pdf
1 Dg Allocation And Sizing In A Power System Based On Noval Power Stability Index
T.Naresh Achari, G.Sreenivasulu Reddy

Abstract-The aim of the paper is enhance the power systems installation of Distributed Generation (DG) units is becoming more important in distribution systems due to their overall positive impacts on power system networks. Some major advantages of integrated DGs include to reducing power losses, improving voltage profiles, reducing emission impacts and improving power quality. Because of these benefits, utility companies have started to change their electric infrastructure to adapt to the introduction of DGs in their distribution systems. The paper proposes a new method for DG placement and sizing based on the line voltage stability index. Before, the continuous power flow method has been used and to determine the most voltage-sensitive bus in the distribution system which could results the voltage instability in the system. DG places on the identified sensitive bus and the size of DG on that bus is increased gradually till the objective function of voltage constraints, current limits and generation capacity is achieved. The proposed algorithm method has been working on the same objective function for same allocation. The DG is placed at the identified bus. The search algorithm is used for estimating the size of DG considering minimum network losses. Overall, this proposed method is simpler and requires less computational time for determining of the optimum placement. The proposed algorithm is tested on 12-bus, modified 12-bus and 69-bus radial distribution networks. The test results are also compared and found to be in close agreement with the existing Golden Section Search (GSS) algorithm.

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2 Image Denoising using log transform wavelet based anisotropic diffusion filtering
Richa Sohane, Vandana Roy

Abstract:-Ultrasonic images are generally affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. Speckle filtering is thus a critical pre-processing step in medical ultrasound imagery pro-vided that the features of interest for diagnosis are not lost. We present a novel speckle removal algorithm within the frame work of wavelet analysis. First, we show that the sub band decompositions of logarithmically transformed ultrasound images based on wavelet transform technique based on anisotropic diffusion process using concept of perona malik filtering Low image quality is an obstacle for effective feature extraction, recognition, analysis, and edge detection; it also affects image interpretation by doctor and the accuracy of computer-assisted diagnostic techniques. In pre-processing of ultrasound images. Many speckle reduction techniques have been studied by researchers, but to date there is no method that takes all the constraint into consideration. In this paper we discuss seven filters, namely Lee, Frost, Median, Speckle Reduction Anisotropic Diffusion (SRAD), Perona-Malik’s Anisotropic Thus, speckle reduction is significant and critical step Diffusion (PMAD) filter, Speckle Reduction Bilateral Filter(SRBF)and Speckle Reduction filter based on soft thresholding the Wavelet transform. A comparative study of these filters has been made in terms of preserving the features and edges as well as effectiveness of denoising. We computed five established evaluation metrics in order to determine which despeckling algorithm most effective and optimal for real-time implementation.

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3 Current Research Trends of Microbiological Leaching for Metal Recovery from Industrial Wastes
Fatima Sarguroh

Abstract:-The concept of microbiological leaching have played a greater role to recover valuable metals from various sulfide minerals or low grade ores during the middle era of twentieth century and that continued till the end of the century.Slowly, due to depletion of ore/minerals, and implementation of stricter environmental rules, microbiological leaching process has been shifted for its application to recover valuable metals from the different industrial wastes. Although there are conventional processes, physical and chemical methods, for treatment of industrial wastes, these technologies have certain limitations in practical applications. The microbial method is an efficient and cost-effective alternative to chemical and physical methods because of its low demand for energy, material and less generation of waste byproduct. There are several industrial wastes that possess toxic elements and thus when leached into atmosphere cause serious environmental problem. Among the wastes, spent petroleum catalysts, electronic scraps, lithium battery wastes,sewage sludge, fly ashetc. are some of the major industrially produced wastes. These solid wastes mostly contain Ni, V, Mo, Co, Cu, Pb, Zn, and Cr like heavy metals in it.The major microorganisms those play the significant role in recovery of heavy metals from such wastes belong toacidophilic group. These acidophilic groups thrive in acidic pH ranges (pH 2.0 – 4.0) and help in dissolving the metalsfrom solid phase of wastes into the aqueous phase.. The current chapter will be thoroughly studied about the application of these acidophilic microorganisms for the metal recovery from different industrial wastes. The key microorganisms and their bioleaching mechanism have been focused here.

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4 DG Allocation in Primary Distribution System by Using Analytical Expression
D.Madhava Rao, I.Prabhakar Reddy

Abstract:-The proposed analytical expressions are based on an improvement to the method that was limited to DG type, which is capable of delivering real power only, can also be identified with their optimal size and location using the proposed method. The method has been tested in 30-bus and 62-bus distribution systems with varying size and complexity and validated using exhaustive method. Results show that the proposed method requires less computation, but can lead optimal solution as verified by the exhaustive load flow method.

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5 Effect of Process Parameters on Vapour Jet Refrigeration System with Environment Friendly Refrigerants
Dinesh Prasad Mishra, K K Jain

Abstract:-Heat powered refrigeration systems are attractive for the rational use of energy and could have significant savings in the consumption of electrical energy and hence in the reduction of pollutant gases. Both absorption and ejector refrigerators can be powered by low grade heat energy. Compared with the absorption system, an ejector system is cheaper due to its simplicity in construction, installation and maintenance; it also does not need to use a two-component working fluid (working fluid pair). The main component of such systems is the ejector, which is robust and has no moving parts. Many researchers have investigated vapour jet refrigeration systems (VJRS) with water as working fluid. The main disadvantage of the steam VJRS is its inability to realize subzero evaporator temperatures. So the main purpose of our work is providing an alternate refrigerants in a place of water, this study is focus on the performance evaluation of VJRS based upon alternative refrigerants e.g R410A, R134a, R717 (Ammonia).

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6 Theory and Evolution of Supply Chain Management
Moses Sashi Kumar, A.Ananda Kumari, A.Shalini

Abstract:-Supply Chain Management (SCM) usually focused on improving profit organizations. Research objectives may include adding value, reducing cost, or slashing response time in various parties involved in the manufacturing supply chain. However, very few studies were attempted in non-profit organizations. An extremely scarce number of research papers focused on SCM in the academia (Habib, 2011, 2010e, 2010d, 2010f, 2010g). Hay (1990) states that a profit organization attempts to maximize profits, whereas a non-profit organization considers monetary returns of less importance. Their major objectives may include improved literacy rate, better quality of life, equal opportunities for all genders or races, etc. The revenues gained by a non-profit organization would be used primarily to balance the expenditure of the organization. Due to conflicting objectives, managing a successful profit organization may be drastically different from a non-profit organization (Firstenberg, 1996; Drucker, 1992). Recently, an increasingly large number of research studies highlight the criticalness of SCM as a means to assuring organizational success.

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7 Item & Features Ranking Based on User Item Interaction
Sonali Chaudhari, Thirumahal Rajkumar, Madhuri Gedam

Abstract:-In our paper, we would like to rank the item features as well as the items using user-item interactions. If the items are movies, features could be actors, directors or genres ect. This information is used to identify the most important actors for each movie. Also we design the algorithm to rank the items i.e movies. So we easily understand which item is best and because of which feature.

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8 Rising up the Marketing Tactics by Looking out the Key Users
Bhushan Talekar, Thirumahal Rajkumar, Vinayak Shinde

Abstract:-This paper aims to focus on four important works i.e. identifying the target users, designing of market strategy/plan, Building the marketing network (groups) & Statistical analysis of categories. Categories have been found based on their influence by using clustering technique. Lastly, ended with statistical analysis that includes graphical representation of highly influenced users. Further this paper helps to extract emotional feelings of the user so that any related articles, posts or videos can be posted to that user.

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9 Accurate Prediction and Home care monitoring system for Asthma and COPD
Anushree Rathi, Rajesh Ahirwar, Bhupesh Gour

Abstract:-Patient affected by a specific disease are monitored by means of a medical protocol, based on periodical measurements through biomedical transducers of some physiological parameters related to disease. However, the equipment cannot predict imminent health risk, and sends a alert signal only when one or more physiological parameters overcome predefined thresholds according to a medical protocol. A self organizing map and particle swarm optimization based procedure to detect critical condition of a patient affected by COPD or asthma, at an early stage in absence of clinician is proposed. A proposed method is to be integrated inside a remote home health care monitoring system for patient at home, where some physiological parameters related to a COPD or asthma are being monitored. We proposed self organizing and PSO based meta-heuristic optimized method to automatic in time prognosis critical condition of a patient by assessing his current state. The experimental results expressed that our method provides optimized solution in health care monitoring system.

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10 Enhancement of Power Quality Using D-Statcom in Distribution System
M Venkateswarlu, G.Srinivasulu Reddy

Abstract:-A Power quality problem is manifested as an unusual voltage, current or frequency that results in a failure or a malfunction of customer equipment. Usefulness distribution networks, sensitive industrial loads and critical commercial operations suffer from different outages and service disturbances which can cost significant economic losses. This project validates the performance of D-STATCOM (Distribution Static Compensator) to reduces the power quality problems such as voltage sags/swells, voltage, harmonics and improve the distribution system performance under all types of system related disturbances and system unbalanced faults (LG, LL, DLG), balanced faults (3-phase fault and 3-phase to ground fault). This model is depending on the Voltage Source Converter (VSC) principal .The D-STATCOM injects a current into the system to minimize the voltage sags and swells. To improve harmonic distortion and low power factor by adding LCL Passive Filter with D-STATCOM.

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11 A Subsynchronous Resonance Damping Using Dssc Enhanced With Adaptive Neuro Fuzzy Inference System
M Raghava, U Naresh Babu

Abstract:-This paper aims to verify the Distributed Static Series compensator (DSSC) functioning in mitigation of SSR in series compensated long transmission lines when connected to a steam-turbine generator. Two auxiliary controllers namely Fuzzy Logic Based Damping Controller (FLBDC) and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers are designed and implemented in the conventional controller of DSSC to provide effective damping. The Fast Fourier Transform (FFT) is carried out in order to evaluate the effect of DSSC based on ANFIS controller in mitigation of SSR and LFO.The simulations were persuaded using MATLAB/Simulink,to IEEE second benchmark (SBM) model combined with DSSC module and the results were compared with the conventional controllers.

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12 A Review on Artificial Neural Network for Weather Prediction Using Bayessian Regularization
Manju Malik, Dinesh Kumar

Abstract:-Weather forecasting is one of the most challenging everyday jobs carried out by meteorological services all over the world. Weather condition is state of atmosphere at given time in terms of weather variables like temperature, pressure, wind speed, humidity etc. The previous techniques used for weather forecasting are the numerical and statistical methods but there was some degree of success in forecasting the weather parameters. This paper implements ANN for weather forecasting using real data set. In the present work weather prediction has been done by using Bayesian regularization method for better results. Also, Gradient Descent and Gradient Descent with Momentum are compared with Bayessian Regularization method.

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13 Reduced Switching Loss Bidirectional AC/DC Converter PWM Strategy for Grid-Tied Micro grid Systems
MD Nazma kausar Banu, T.kumar xavier kranthi

Abstract:-In recent years, a system that makes use of various types of energy has been sought after and the distributed generation system that uses alternative energy such as vehicle power sources like the uninterrupted power system and hybrid electrical vehicles, fuel cells, solar cells and etc. are being studied actively. In these systems, for the greatest efficiency, the control of the charging and discharging systems to give and take energy between the DC bus and storage equipment’s and the dual voltage system require voltage step-up since the load increase in independent power source systems are essential. Therefore, bidirectional DC/DC converters are required to enable the give and take of energy between the different dc sources and to allow for control using efficient modulation scheme. Due to the limitations of energy sources of these systems, the conversion efficiency is very important. Generally, as a bi-directional coupled Buck-Boost DC/DC converter, in the isolated mode does not reverse the polarity and the current although the switch and diode is smaller than that of other converters.. A prototype system is constructed and the control scheme is implemented using FPGA Spartan-3E XC3S250E. Both simulation and experimental results verify the validity of the proposed PWM strategy and control scheme.

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14 Enhancement of Congestion Detection and Avoidance to Recover Throughput in Sensor Networks
B Vijayalakshmi, C Ram Kumar, C Ramesh, S Chenthur Pandian

Abstract:-In order to eradicate Congestion problem, an Enhanced version of congestion Control is proposed called ECODA (Enhanced Congestion Detection and avoidance for Multiple Class of Traffic in Sensor Networks). Using three mechanisms which use dual buffer Thresholds / Weighted buffer difference, Flexible Queue Scheduler and bottleneck based Control Schemes. ECODA effectively Controls Congestion problems for different class of traffic using MAC layer. ECODA has a flexible queue scheduler and packets are scheduled according to their priority. Many applications would require fast data transfer in high-speed wireless networks nowadays. However, due to its conservative congestion control algorithm, Transmission Control Protocol (TCP) cannot effectively utilize the network capacity in lossy wireless networks. In this paper, we propose a receiver-assisted congestion control mechanism (RACC) in which the sender performs loss-based control, while the receiver is performing delay-based control. The receiver measures the network bandwidth based on the packet inter arrival interval and uses it to compute a congestion window size deemed appropriate for the sender. After receiving the advertised value feedback from the receiver, the sender then uses the additive increase and multiplicative decrease (AIMD) mechanism to compute the correct congestion window size to be used. Our mechanism can mitigate the effect of wireless losses, alleviate the timeout effect, and therefore make better use of network bandwidth and also our mechanism can outperform conventional TCP in high-speed and lossy wireless environments. It can reduce packet loss, improve efficiency and lower delay.

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