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A New-High Speed-Low Power-Carry Select Adder Using Modified GDI Technique

10.11591/ijres.v4.i3.pp173-177
M. Anitha , J.Princy Joice , Rexlin Sheeba.I
Adders are of fundamental importance in a wide variety of digital systems. This paper presents a novel bit block structure which computes propagate signals as carry strength. Power consumption is one of the most significant parameters of carry select adder.The proposed method aims on GDI(Gate Diffusion Input) Technique. Modified GDI is a novel technique for low power digital circuits design further to reduce the swing degradation problem. This techniques allows reduction in power consumption, carry propagation delay and transistor count of the carry select adder.This technique can be used to reduce the number of transistors compared to conventional CSLA and made comparison with known conventional adders which gives that the usage of carry-strength signals allows high-speed adders to be realised at lower cost as well as consuming lower power than previous designs. Hence, this paper we are concentrating on the area level &we are reducing the power using modified GDI logic.
Volume: 4
Issue: 3
Page: 173-177
Publish at: 2015-11-01

X-band Band-pass Frequency Selective Surface for Radome Applications

10.11591/ijeecs.v16.i2.pp281-285
Tariq Rahim , Jiodong Xu
A low profile multi layer miniaturized unit cell frequency selective surface (FSS) with second-order band-pass response is design. The metallic layers in the form of capacitive patches and inductive grids are separated by dielectric substrates. The non-resonant sub-wavelength unit cells with unit cell dimensions and periodicities on the order of 0.15λ. The overall thickness of approximately 0.03λ is designed which is useful at lower frequencies with long wavelengths. The FSS exhibit a stable frequency response to different angles of incidence and polarizations. The analysis and synthesis of the FSS is done using equivalent circuit method and simulated using CST microwave studio at X-band.
Volume: 16
Issue: 2
Page: 281-285
Publish at: 2015-10-14

Area Classification and Types of Protection for Explosive Atmospheres: A Review

10.11591/ijeecs.v16.i2.pp238-243
Bhagirath Ahirwal , A. K. Singh , R. K. Vishwakarma
Explosionproof (Ex) equipment is vital for use in explosive atmospheres. The knowledge of basic of area classification, zone, temperature class, types of protection and source of ignition is mandatory for testing, manufacturing, use, installation, inspection and maintenance of Ex equipment. The paper describes the area classification, types of protection and equipment protection level for hazardous areas.
Volume: 16
Issue: 2
Page: 238-243
Publish at: 2015-10-14

Dependability Evaluation and Supervision in Thermal Power Plants

10.11591/ijece.v5i5.pp905-917
Marwa Ben Hamouda , Mohamed Najeh Lakhoua , Lilia El Amraoui
In order to improve the productivity and the consistency of its maintenance strategies, the industrial world is based on different techniques and tools developed to ensure safe operation and the supervision of production systems. In fact, dependability evaluation is crucial to controlling the risks associated with system failure, and for this reason, it is one of the fundamental steps in automated system design. In this paper, we present firstly the basic concepts for the study of dependability as well as functional systems analysis. Thus, we present the method SADT (Structured Analysis Design technique). Given the ineffectiveness of methods that are currently exploited are not appropriate because the level of complexity of such industrial systems, we propose in the first the Safe-SADT method which allows the explicit formalization of functional interaction, the identification of the characteristic values affecting complex system dependability, the quantification of RAMS parameters (Reliability, Availability, Maintainability, and Safety) for the system’s operational architecture. Secondly, a methodology for designing supervisory production systems has been presented and has been applied on an example of a SCADA (supervisory control and data acquisition) system of a thermal power plant. Finally, a model of operating safety and supervision of a production system is proposed.
Volume: 5
Issue: 5
Page: 905-917
Publish at: 2015-10-01

Model Predictive Control System Design for Boiler Turbine Process

10.11591/ijece.v5i5.pp1054-1061
Sandeep Kumar Sunori , Pradeep Kumar Juneja , Anamika Bhatia Jain
MPC is a computer based technique that requires the process model to anticipate the future outputs of that process. An optimal control action is taken by MPC based on this prediction. The MPC is so popular since its control performance has been reported to be best among other conventional techniques to control the multivariable dynamical plants with various inputs and outputs constraints. In the present work the control of boiler turbine process with three manipulated variables namely fuel flow valve position, steam control valve position and feed water flow valve position and three controlled variables namely drum pressure, output power and drum water level deviation [8] has been attempted using MPC technique. Boiler turbine process is very complex and nonlinear multivariable process. A linearized model obtained using Taylor series expansion around operating point has been used.
Volume: 5
Issue: 5
Page: 1054-1061
Publish at: 2015-10-01

Digital Image Based Identification of Rice Variety Using Image Processing and Neural Network

10.11591/ijeecs.v16.i1.pp182-190
Lilik Sumaryanti , Aina Musdholifah , Sri Hartati
The increased of consumer concern on the originality of rice  variety and the quality of rice leads to originality certification of rice by existing institutions. Technology helps human to perform evaluations of food grains using images of objects. This study developed a system used as a tool to identify rice varieties. Identification process was performed by analyzing rice images using image processing. The analyzed features for identification consisted of six color features, four morphological features, and two texture features. Classifier used LVQ neural network algorithm. Identification results using a combination of all features gave average accuracy of 70,3% with the highest classification accuracy level of 96,6% for Mentik Wangi and the lowest classification accuracy of 30%  for Cilosari.
Volume: 16
Issue: 1
Page: 182-190
Publish at: 2015-10-01

Complementary Split Ring Resonator based Sensor for Crack Detection

10.11591/ijece.v5i5.pp1012-1017
Rajni Rajni , Amanpreet Kaur , Anupma Marwaha
In this paper, the performance of Complementary Split Ring Resonator(CSRR) based sensor is explored by varying the geometrical parameters of asub millimeter crack. Behavior analysis of the CSRR based sensor isperformed by variation in the parameters of crack. Variation in resonantfrequency of sensor is observed in every case and is noteworthy for ourpurpose. This signifies the sensor’s ability to detect crack of differentgeometrical parameters on a metal surface.The effectiveness of the sensor isbeing contemplated through this approach which is appreciable. Anillustrious performance of the crack detection sensor has been discovered inthis analysis. Simulated results show the feasibility of detecting very smallcracks upto 25 􀟤m width, in the metallic surfaces.
Volume: 5
Issue: 5
Page: 1012-1017
Publish at: 2015-10-01

A User- Based Recommendation with a Scalable Machine Learning Tool

10.11591/ijece.v5i5.pp1153-1157
Ch. Veena , B. Vijaya Babu
Recommender Systems have proven to be valuable way for online users to recommend information items like books, videos, songs etc.colloborative filtering methods are used to make all predictions from historical data. In this paper we introduce Apache mahout which is an open source and provides a rich set of components to construct a customized recommender system from a selection of machine learning algorithms.[12] This paper also focuses on addressing the challenges in collaborative filtering like scalability and data sparsity. To deal with scalability problems, we go with a distributed frame work like hadoop. We then present a customized user based recommender system.
Volume: 5
Issue: 5
Page: 1153-1157
Publish at: 2015-10-01

Effect of Device Variables on Surface Potential and Threshold Voltage in DG-GNRFET

10.11591/ijece.v5i5.pp1003-1011
Baharak Mehrdel , Azlan Abdul Aziz , Mahdiar Hossein Ghadiri
In this paper we present four simple analytical threshold voltage model for short- channel and length of saturation velocity region (LVSR) effect that takes into account the built – in potential of the source and drain channel junction, the surface potential and the surface electric field effect on double – gate graphene nanoribbon transistors. Four established models for surface potential, lateral electric field, LVSR and threshold voltage are presented. These models are based on the easy analytical solution of the two dimensional potential distribution in the graphene and Poisson equation which can be used to obtain surface potential, lateral electric field, LVSR and threshold voltage. These models give a closed form solution of the surface potential and electrical field distribution as a function of structural parameters and drain bias. Most of analytical outcomes are shown to correlate with outcomes acquired by Matlab simulation and the end model applicability to the published silicon base devices is demonstrated.
Volume: 5
Issue: 5
Page: 1003-1011
Publish at: 2015-10-01

On the Design and Development of a Zigbee-Based Multimodal Input-Output Monitoring-Actuating System

10.11591/ijece.v5i5.pp1143-1152
Abbas Orand , Y. Tomita , Sayaka Okamoto , Shigeru Sonoda
The monitoring of a physically challenged patient’s activities is a crucial and difficult task for the medical professionals. The design and development of a multimodal- input and output wireless system with two sensors and three actuators that can be used for just monitoring or for both monitoring and stimulating are discussed in this research. Touch and tilt sensors at the input part of the system attached to Zigbee modules communicate in a wireless manner with voice, vibration and light actuators connected to Zigbee modules at the output part. The hardware and the software parts are designed and integrated in such a way that a new sensor at the input or a new actuator at the output can be included or excluded based on the needs of the patient. It is shown how to design and develop sensors. In an application programming interface communication mode, 3 XBee series 1 modules send and receive data in a wireless manner. The prototype of the system was tested with promising results in the case of the patients with inattention disorder. This system can be used for monitoring the activities of a patient and also for actuating certain stimulus in the patient side in case of necessity.
Volume: 5
Issue: 5
Page: 1143-1152
Publish at: 2015-10-01

Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET

10.11591/ijece.v5i5.pp1194-1201
Pradeep Kumar Krishnappa , B R Prasad Babu
The area of Mobile Adhoc Network (MANET) has being a demanded topic of research for more than a decade because of its attractive communication features associated with various issues. This paper primarily discusses on the security issues, which has been still unsolved after abundant research work. The paper basically stresses on the potential features of Swarm Intelligence (SI) and its associated techniques to mitigate the security issues. Majority of the previous researches based on SI has used Ant Colony Optimization (ACO) or Particle Swarm Optimization (PSO) extensively. Elaborated discussion on SI with respect to trust management, authentication, and attack models are made with support of some of the recent studies done in same area. The paper finally concludes by discussing the open issues and problem identification of the review.
Volume: 5
Issue: 5
Page: 1194-1201
Publish at: 2015-10-01

An Interleaved Boost Converter Based PFC Control Strategy for BLDC motor

10.11591/ijece.v5i5.pp957-966
V. Ramesh , Y. Kusuma Latha
In this paper, interleaved power factor correction (PFC) boost converter based control strategy for BLDC motor has been Proposed. The converter exhibits the characteristics of voltage doublers for duty greater than 0.5. The switching losses and losses during reverse recovery operation are considerably reduced in this proposed topology. This is due reduction in switching voltages due to voltage doubler mode. The proposed topology has high efficiency compared to conventional counterpart due to slight increase in conduction losses. In this paper, the proposed PFC control Strategy has been applied to a six switch and four switch VSI fed BLDC Motor drive for effective torque ripple minimization. A comparison is also made between the six switch and Four Switch VSI fed PMBLDC Motor drive.
Volume: 5
Issue: 5
Page: 957-966
Publish at: 2015-10-01

Computing Subspace Skylines without Dominance Tests Using Set Interaction Approaches

10.11591/ijece.v5i5.pp1188-1193
T. Vijaya Saradhi , K. Subrahmanyam , Ch.V. Phani Krishna
Now a day’s preference answering plays major role in all crucial applications. If user wants to find top k–objects from a set of high dimensional data based on any monotonic function requires huge computation. One of the promising methods to compute preference set is Skyline Technology. Sky line computation returns the set objects that are not overruled by any other objects in n a multi dimensional space. If data is high dimensional, different users requests sky line set based on different dimensions. It requires subspace skyline computation. If objects are d-dimensional we need to compute skyline sets in 2d different subspaces, called as SKYLINE CUBE computation, which incurs lot of computation cost. In this paper we address the problem of finding subspace skyline computation with minimum effort by using simple set interaction methods. By that we can decrease the number of subspace skylines need to be searched to find full sky cube. In this paper we developed one algorithm which uses Boolean algebra rules, skyline lattice to reduce dominance test for preparing sub space skylines.
Volume: 5
Issue: 5
Page: 1188-1193
Publish at: 2015-10-01

Unbalanced Variable Nonlinear Load Compensation Using Multiple Shunt Active Filters

10.11591/ijece.v5i5.pp896-904
Deepthi Janyavula , Satyendra Nath Saxena
The proposed scheme has considered a three-phase four-wire system, which experienced sag and swell in source voltage for a certain period while feeding an unbalanced and variable non-linear load. The load has unequal resistive and reactive elements in the three phases, forming the unbalanced component. A three-phase silicon controlled rectifier converter with adjustable firing angle connected to the load has formed the variable non-linear component. This has been considered, so as to simulate the unbalanced and variable non-linear  nature of loads in real-time power system. The trends in the total harmonic distortion variation were obtained for the proposed system under power factor correction and voltage regulation mode operation when the load-side converter firing angles of 30°, 60° and 90° were considered using MATLAB/SIMULINK software. Three pulse-width-modulation methods, namely, sinusoidal pulse-width-modulation, space vector modulation and hysteresis pulse-width-modulation have been used to generate pulses for the voltage source converter of the shunt active filter based on the reference currents generated using synchronous reference frame theory.  It has been demonstrated in the proposed paper that power factor correction, voltage regulation, better harmonic reduction and hence load compensation are obtained simultaneously by using two SAFs.
Volume: 5
Issue: 5
Page: 896-904
Publish at: 2015-10-01

Multiple Feature Fuzzy c-means Clustering Algorithm for Segmentation of Microarray Images

10.11591/ijece.v5i5.pp1045-1053
J. Harikiran , P.V. Lakshmi , R. Kiran Kumar
Microarray technology allows the simultaneous monitoring of thousands of genes. Based on the gene expression measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, segmentation and intensity extraction are the three important steps in microarray image analysis. Clustering algorithms have been used for microarray image segmentation with an advantage that they are not restricted to a particular shape and size for the spots. Instead of using single feature clustering algorithm, this paper presents multiple feature clustering algorithm with three features for each pixel such as pixel intensity, distance from the center of the spot and median of surrounding pixels. In all the traditional clustering algorithms, number of clusters and initial centroids are randomly selected and often specified by the user.  In this paper, a new algorithm based on empirical mode decomposition algorithm for the histogram of the input image will generate the number of clusters and initial centroids required for clustering.   It overcomes the shortage of random initialization in traditional clustering and achieves high computational speed by reducing the number of iterations. The experimental results show that multiple feature Fuzzy C-means has segmented the microarray image more accurately than other algorithms.
Volume: 5
Issue: 5
Page: 1045-1053
Publish at: 2015-10-01
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