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29,758 Article Results

An Icon Design Approach Based on Symbolic and Users' Cognitive Psychology

10.11591/ijeecs.v4.i3.pp695-706
Sun Qiang , Hu Fei
In order to explore the usability and ease of use of icon design, the icon design method based on the combination of semiotics and user cognitive psychology is raised. Based on the principle of matching the icon design knowledge and user knowledge, the icon design process is analyzed from four dimensions, namely the semantic expression of elements, the structure of elements, the interface and cultural context, and the user cognitive characteristics. An icon assistant design system CDIPV1.0 is structured, it can realize knowledge sharing, rapid icon designing, and professional evaluation based on the combination of semiotics and users’ cognitive psychology. The theory is verified through it.
Volume: 4
Issue: 3
Page: 695-706
Publish at: 2016-12-01

Big Data and MapReduce Challenges, Opportunities and Trends

10.11591/ijece.v6i6.pp2911-2919
Sachin Arun Thanekar , K. Subrahmanyam , A. B. Bagwan
Nowadays we all are surrounded by Big data. The term ‘Big Data’ itself indicates huge volume, high velocity, variety and veracity i.e. uncertainty of data which gave rise to new difficulties and challenges. Big data generated may be structured data, Semi Structured data or unstructured data. For existing database and systems lot of difficulties are there to process, analyze, store and manage such a Big Data.  The Big Data challenges are Protection, Curation, Capture, Analysis, Searching, Visualization, Storage, Transfer and sharing. Map Reduce is a framework using which we can write applications to process huge amount of data, in parallel, on large clusters of commodity hardware in a reliable manner. Lot of efforts have been put by different researchers to make it simple, easy, effective and efficient. In our survey paper we emphasized on the working of Map Reduce, challenges, opportunities and recent trends so that researchers can think on further improvement.
Volume: 6
Issue: 6
Page: 2911-2919
Publish at: 2016-12-01

Hardware Implementation of Solar based Boost to SEPIC Converter Fed Nine Level Inverter System

10.11591/ijpeds.v7.i4.pp1031-1037
D. Jasmine , M. Gopinath
Multi level inverters are widely used in high power applications because of low harmonic distortion. This paper deals with the simulation and implementation of PV based boost to SEPIC converter with multilevel inverter. The output of PV system is stepped up using boost to sepic converter and it is converted into AC using a multilevel inverter. The simulation and experimental results with the R load is presented in this paper. The FFT analysis is done and the THD values are compared. Boost to SEPIC converter is proposed to step up the voltage to the required value. The experimental results are compared with the simulation results. The results indicate that nine level inverter system has better performance than seven level inverter system.
Volume: 7
Issue: 4
Page: 1031-1037
Publish at: 2016-12-01

Issues of K Means Clustering While Migrating to Map Reduce Paradigm with Big Data: A Survey

10.11591/ijece.v6i6.pp3047-3051
Khyati R Nirmal , K.V.V. Satyanarayana
In recent times Big Data Analysis are imminent as essential area in the field of Computer Science. Taking out of significant information from Big Data by separating the data in to distinct group is crucial task and it is beyond the scope of commonly used personal machine. It is necessary to adopt the distributed environment similar to map reduce paradigm and migrate the data mining algorithm using it. In Data Mining the partition based K Means Clustering is one of the broadly used algorithms for grouping data according to the degree of similarities between data. It requires the number of K and initial centroid of cluster as input. By surveying the parameters preferred by algorithm or opted by user influence the functionality of Algorithm. It is the necessity to migrate the K means Clustering on MapReduce and predicts the value of k using machine learning approach. For selecting the initial cluster the efficient method is to be devised and united with it. This paper is comprised the survey of several methods for predicting the value of K in K means Clustering and also contains the survey of different methodologies to find out initial center of the cluster. Along with initial value of k and initial centroid selection the objective of proposed work is to compact with analysis of categorical data.
Volume: 6
Issue: 6
Page: 3047-3051
Publish at: 2016-12-01

Texture Fusion for Batik Motif Retrieval System

10.11591/ijece.v6i6.pp3174-3187
Ida Nurhaida , Hong Wei , Remmy A. M. Zen , Ruli Manurung , Aniati M. Arymurthy
This paper systematically investigates the effect of image texture features on batik motif retrieval performance. The retrieval process uses a query motif image to find matching motif images in a database. In this study, feature fusion of various image texture features such as Gabor, Log-Gabor, Grey Level Co-Occurrence Matrices (GLCM), and Local Binary Pattern (LBP) features are attempted in motif image retrieval. With regards to performance evaluation, both individual features and fused feature sets are applied. Experimental results show that optimal feature fusion outperforms individual features in batik motif retrieval. Among the individual features tested, Log-Gabor features provide the best result. The proposed approach is best used in a scenario where a query image containing multiple basic motif objects is applied to a dataset in which retrieved images also contain multiple motif objects. The retrieval rate achieves 84.54% for the rank 3 precision when the feature space is fused with Gabor, GLCM and Log-Gabor features. The investigation also shows that the proposed method does not work well for a retrieval scenario where the query image contains multiple basic motif objects being applied to a dataset in which the retrieved images only contain one basic motif object.
Volume: 6
Issue: 6
Page: 3174-3187
Publish at: 2016-12-01

Design and Implementation of Real Time Charging Optimization for Hybrid Electric Vehicles

10.11591/ijpeds.v7.i4.pp1261-1268
K. Ramesh , C. Bharatiraja , S. Raghu , G. Vijayalakshmi , PL. Sambanthan
Electric vehicle (EV) has gained incredible interest from the past two decade as one of the hopeful greenhouse gasses solution. The number of Electric Vehicle (EV) is increasing around the world; hence that making EVs user friendly becomes more important. The main challenge in usage of EV is the charging time required for the batteries used in EV. As a consequence, this subject matter has been researched in many credentials where a wide range of solutions have been proposed. However those solutions are in nature due to the complex hardware structure. To provide an unswerving journey an Android application based charging optimization is proposed. This application is aimed at giving relevant information about the EV’s battery state of charge (SOC), accurate location of the EV, booking of the charging slots using token system and route planner. At emergency situations, an alternative service is provided by mobile charging stations. Route planner indicates the temperature by which prediction of reaching the destination can be done. In addition to that nearest places such as parks, motels are indicated. The estimated time and distance between the electric vehicle and the charging station is calculated by the charging station server according to which the parking lot is allocated. Vehicle to charging station communication is established for the time estimation of charging. This will help the EV users to know about charge status and charging station, which support fast charging method and availability of the station on the go and also when to charge their EV. The Arduino UNO board has been used for the hardware part. The hardware results are confirming the conceptual of the proposed work.
Volume: 7
Issue: 4
Page: 1261-1268
Publish at: 2016-12-01

Modified SVPWM Algorithm for 3-level Inverter Fed DTC Induction Motor Drive

10.11591/ijpeds.v7.i4.pp1134-1145
G. Kumara Swamy , YP Obulesu
In this paper, a modified space vector pulse width modulation (MSVPWM) algorithm is developed for 3-level inverter fed direct torque controlled induction motor drive (DTC-IMD). MSVPWM algorithm  simplifies conventional space vector pulse width modulation (CSVPWM) algorithm for multilevel inverter(MLI), whose complexity lies in sector/subsector/sub-subsector identification; which will commensurate with number of levels. In the proposed algorithm sectors are identified as in two level inverter and subsectors/sub-subsectors are identified by shifting the original reference vector to sector 1 (S1). This is valid due to the fact that a three level space vector plane is a composition of six two level space planes, and are symmetrical with reference to six pivot states. Switching state/sequence selection is also very important while dealing with SVPWM strategy for MLI. In the proposed algorithm out of 27 available switching states apt switching state is selected based on sector and subsector number, such that voltage ripple is considerably less. To validate the proposed algorithm, it is tested on a three level neutral point clamped (NPC) inverter fed DTC-IMD. The performance of the MSVPWM algorithm is analyzed by comparing no load stator current ripple of the three level DTC-IMD with two level DTC-IMD. Significant reduction in steady state torque and flux ripple is observed. Hence, reduced acoustic noise is a distinctive facet of the proposed method.
Volume: 7
Issue: 4
Page: 1134-1145
Publish at: 2016-12-01

Power Quality Enhancement of Integration Photovoltaic Generator to Grid under Variable Solar Irradiance Level using MPPT-Fuzzy

10.11591/ijece.v6i6.pp2629-2642
Amirullah Amirullah , Agus Kiswantono
The paper presents power quality enhancement on low voltage of three phase grid caused by PV generator integration under variabel solar irradiance level on constant temperature and load. MPPT Fuzzy helps to generate duty cycle to control DC/DC boost converter of PV generators. This model was expected to improve power quality due to unbalance voltage and current, low voltage and current harmonics, and low input power factor. There were eigth scenarios PV generator connected to three phase grid using MPPT Fuzzy and compared with MPPT P and O. The research results that application of two methods on different irradiance and PV generator integration level produces unbalanced voltage value stable at 0%. At the same conditions, the use of MPPT Fuzzy results unbalanced current was greater than MPPT P and O. On solar irradiance level fixed, the greater number of PV generator connected to three-phase grid, then value of average voltage and current harmonics (THD) will increases. At the level of solar radiation increases, average grid voltage and current THD also have increased. The average grid voltage and current THD was reduced after using MPPT Fuzzy. The application of MPPT Fuzzy was able to enhance profile of grid voltage and current THD due to integration of a number of PV generator to three phase grid corresponding with IEEE Standard 519-1992. MPPT Fuzzy was capable to improve input power factor better than MPPT P and O.
Volume: 6
Issue: 6
Page: 2629-2642
Publish at: 2016-12-01

Improved Capacity Image Steganography Algorithm using 16-Pixel Differencing with n-bit LSB Substitution for RGB Images

10.11591/ijece.v6i6.pp2735-2741
Meenakshi S Arya , Meenu Rani , Charndeep Singh Bedi
With the intrusion of internet into the lives of every household and terabytes of data being transmitted over the internet on daily basis, the protection of content being transmitted over the internet has become an extremely serious concern. Various measures and methods are being researched and devised everyday to ensure content protection of digital media. To address this issue of content protection, this paper proposes an RGB image steganography based on sixteen-pixel differencing with n-bit Least Significant Bit (LSB) substitution. The proposed technique provides higher embedding capacity without sacrificing the imperceptibility of the host data. The image is divided into 4×4 non overlapping blocks and in each block the average difference value is calculated. Based on this value the block is classified to fall into one of four levels such as, lower, lower-middle, higher-middle and higher. If block belongs to lower level then 2-bit LSB substitution is used in it. Similarly, for lower-middle, higher-middle and higher level blocks 3, 4, and 5 bit LSB substitution is used. In our proposed method there is no need of pixel value readjustment for minimizing distortion. The experimental results show that stego-images are imperceptible and have huge hiding capacity.
Volume: 6
Issue: 6
Page: 2735-2741
Publish at: 2016-12-01

Robust Controller for a Vision Feedback Based Telepointer

10.11591/ijece.v6i6.pp2870-2877
Shah Newaz Mohammad Abdul Kader , Mohd. Marzuki Mustafa , Aini Hussain
Telepointer is a very useful tool for teleconsultation and teleproctoring, whereby a telepointer via teleconferencing is a perfect example of computer-supported cooperative work (CSCW) and digital telepresence. To this end, many telepointers are introduced for digital telepresence. However, there are still concerns regarding the speed of response and robustness of the system. It is rather difficult to model the actual system in order to design the controller. This paper described the development of a telepointer and its controller for a real time communication using vision feedback. The main focus of this study was to control the Laser Pointer (LP) with a discrete time PID (proportional–integral–derivative) controller which was tuned using Ziegler-Nichols (ZN) method. The results indicated that the tuned controller bring about fast response with no overshoot and steady state errors at the output response. The controller was shown to be robust against changes in sampling time and external disturbance.
Volume: 6
Issue: 6
Page: 2870-2877
Publish at: 2016-12-01

A Novel of Repulsive Function on Artificial Potential Field for Robot Path Planning

10.11591/ijece.v6i6.pp3262-3275
H. H. Triharminto , O. Wahyunggoro , T. B. Adji , A. I. Cahyadi , I. Ardiyanto
In this paper, the issue of local minima associated with GNRON (Goal Nonreachable with Obstacles Nearby) has been solved on the Artificial Potential Field (APF) for robot path planning. A novel of repulsive potential function is proposed to solve the problem. The consideration of surrounding repulsive forces gives a trigger to escape from the local mi- nima. Addition of signum function on the repulsive force which considers relative distance between the robot and the goal ensures that the goal position is the global optima of the total potential. Simulation conducted to prove that the proposed algorithm can solve GNRON and local minima problem on APF. Scenario of each simulation set in different type of obs- tacle and goal condition. The results show that the proposed method is able to handle local minima and GNRON problem.
Volume: 6
Issue: 6
Page: 3262-3275
Publish at: 2016-12-01

Report on Power Compensation and Total Harmonic Distortion level Analysis

10.11591/ijece.v6i6.pp2577-2580
Nikita Ramesh Kalaskar , Rajesh Holmukhe
In the chart of Indian science based industry, pharmaceutical industry is on top position. So it is essential to fulfil such critical requirement or demand, production should be with high speed. For such high production, using of software based machineries, electronic circuits are been used. By using such electronic based equipment’s and machineries, it is obvious day by day increasing non-linear load of the industry which lead to lagging power factor. In electric system nonlinear load with low power factor draws more current from source. So because of such high current drawn, life of switchgear, wire and other electrical equipment decreases. So due to large equipment and wasted energy, the electrical utilities company usually charge a higher cost to industrial customer for the constant logging power factor. To improving the lagging power factor, industry may prefer to install capacitor bank in series. But installation of capacitor power bank leads to the increment of total harmonics distortion level. In common plant, containing power factor correction capacitor, It is been seen that normal resonant frequency falls normally in the range of 5th to 13th harmonics. So this non-linear load leads to inject current at 5th, 7th, 11th and 13th harmonics. It will usually result on producing the problems with switchgears, damaged capacitor banks and failure to the electrical distribution system.
Volume: 6
Issue: 6
Page: 2577-2580
Publish at: 2016-12-01

Face Recognition Based on Symmetrical Half-Join Method using Stereo Vision Camera

10.11591/ijece.v6i6.pp2818-2827
Edy Winarno , Agus Harjoko , Aniati Murni Arymurthy , Edi Winarko
The main problem in face recognition system based on half-face pattern is how to anticipate poses and illuminance variations to improve recognition rate. To solve this problem, we can use two lenses on stereo vision camera in face recognition system. Stereo vision camera has left and right lenses that can be used to produce a 2D image of each lens. Stereo vision camera in face recognition has capability to produce two of 2D face images with a different angle. Both angle of the face image will produce a detailed image of the face and better lighting levels on each of the left and right lenses. In this study, we proposed a face recognition technique, using 2 lens on a stereo vision camera namely symmetrical half-join. Symmetrical half-join is a method of normalizing the image of the face detection on each of the left and right lenses in stereo vision camera, then cropping and merging at each image. Tests on face recognition rate based on the variety of poses and variations in illumination shows that the symmetrical half-join method is able to provide a high accuracy of face recognition and can anticipate variations in given pose and illumination variations. The proposed model is able to produce 86% -97% recognition rate on a variety of poses and variations in angles between 0 °- 22.5 °. The variation of illuminance measured using a lux meter can result in 90% -100% recognition rate for the category of at least dim lighting levels (above 10 lux).
Volume: 6
Issue: 6
Page: 2818-2827
Publish at: 2016-12-01

Comparative Study of Various Adjustable Speed Drives During Voltage Sag

10.11591/ijpeds.v7.i4.pp1393-1401
Renukadevi S , Rathinakumar M
This Paper compares the sensitivity of various adjustable speed drives to voltage sag for the process control applications. Three phase voltage sag of type B caused due to SLG fault is considered and four topologies of ASD’s are compared in this paper. The comparison is done especially in speed, voltage, current and torque of the ASDs. Diode rectifier without z source inverter, diode rectifier with z source inverter , single phase two leg Vienna rectifier and single phase neutral linked Vienna with z source inverter are compared and the best one is highlighted. The circuits of various ASD’s are simulated using   Matlab /Simulink. 
Volume: 7
Issue: 4
Page: 1393-1401
Publish at: 2016-12-01

Implementation of Population Algorithms to Minimize Power Losses and Cable Cross-Section in Power Supply System

10.11591/ijece.v6i6.pp2955-2961
V. Z. Manusov , P. V. Matrenin , E. S. Tretiakova
The article dues to the arrangement of the reactive power sources in the power grid to reduce the active power losses in transmission lines and minimize cable cross-sections of the lines. The optimal arrangement is considered from two points of view. In the first case, it is possible to minimize the active power losses only. In the second case, it is possible to change the cross-sections of the supply lines to minimize both the active power losses and the volume of the cable lines. The sum of the financial cost of the active power losses, the capital investment to install the deep reactive power compensation, and cost of the cable volume is introduced as the single optimization criterion. To reduce the losses, the deep compensation of reactive power sources in nodes of the grid are proposed. This optimization problem was solved by the Genetic algorithm and the Particle Swarm optimization algorithm. It was found out that the deep compensation allows minimizing active power losses the cable cross-section. The cost-effectiveness of the suggested method is shown. It was found out that optimal allocation of the reactive power sources allows increasing from 9% to 20% the financial expenses for the enterprise considered.
Volume: 6
Issue: 6
Page: 2955-2961
Publish at: 2016-12-01
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