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28,188 Article Results

Characterizing Multi-radio Energy Consumption in Cellular/Wi-Fi Smartphones

10.11591/ijece.v6i6.pp2920-2930
Zuhaibuddin Bhutto , Jun-Hyuk Park , Wonyong Yoon
Cellular networks evolved to meet the ever increasing traffic demand by way of offloading mobile traffic to Wi-Fi network elements. Exploiting multi-radio interfaces on a smartphone has recently been examined with regards to heterogeneous bandwidth aggregation and radio switching. However, how a smartphone consumes its energy in driving cellular and Wi-Fi multi-radio interfaces, is not well understood. In this paper, we revealed the energy consumption behavior of 3G cellular and Wi-Fi multi-radio operations of a smartphone. We modified smartphone’s firmware to enable multi-radios operations simultaneously and we performed extensive measurements of multi-radio energy consumption in a real commercial network. From the measured data set, we established a realistic multi-radio energy consumption model and it gave 98% stability from the derived coefficients.
Volume: 6
Issue: 6
Page: 2920-2930
Publish at: 2016-12-01

Mutual Coupling Optimization of Compact Microstrip Array Antenna

10.11591/ijeecs.v4.i3.pp538-541
Lin Teng , Jingrui Pei , Shoulin Yin
In this paper, we perfect the mutual coupling of compact microstrip array antenna by designing a new defected ground structure. When the resonant frequency is 2.45GHz, array element spacing is 0.1 times of free space wavelength, we introduce new defected ground structure into antenna array. Then we use HFSS to make simulation and compare the changing of antenna's parameters before and after adding defected ground structure. The results demonstrate that the parameters representing mutual coupling in new model can reduce by 30dB, which effectively perfects the mutual coupling of compact microstrip array antenna.
Volume: 4
Issue: 3
Page: 538-541
Publish at: 2016-12-01

An IoT Framework for Addressing Parents Concerns about Safety of School Going Children

10.11591/ijece.v6i6.pp3052-3059
Poonam Gupta , D D Shah , K V V Satyanarayana
In this paper, we have proposed a novel application using Internet of things (IOT). This application is focused to address the concerns of the parents towards their school going kids. Mainly the concerns of the parents are to ensure the safety of their kids in school bus as well as at school premises. In this paper, we have tried to provide detailed technical implementation about how different sensing, communication technologies clubbing together provides a platform in terms of IoT, where proposed application can be implemented to ensure safety of school going children as it is the priority and concern for parents. In Proposed application, parents get notification when his child boards the bus for school and gets down the bus at home’s doorstep. Parents also get notification when child enters his Class Room first time in a day. Parents any time can access the location his child or school bus in which his child is travelling. In case of emergency, child can disseminate the signal to parents / Single point of contact (SPOC) at school to make them aware about emergency.
Volume: 6
Issue: 6
Page: 3052-3059
Publish at: 2016-12-01

Organization Goal-Oriented Requirements Elicitation Process to Enhance Information System

10.11591/ijece.v6i6.pp3188-3195
Fransiskus Adikara , Bayu Hendradjaya , Benhard Sitohang
This paper introduces and proposes an approach in goal-oriented requirements elicitation process that using Key Performance Indicators (KPIs), in information system enhancement process. KPIs can be used to control and reduce user requirements problems caused by personal interests of users in requirements elicitation process. An information system enhancement project for a distribution company has been used as a case study to demonstrate this approach. The case study shows that the requirements can be elicited from the organization goals and current information system condition rather than from user requirements. This approach also showed that KPIs have been able to control some user requirements that have difference point of view with high level stakeholder requirements. Compared with the previous research, IT goals and KPIs are more easily identified in the enhancement process rather than through development of a brand new information system.
Volume: 6
Issue: 6
Page: 3188-3195
Publish at: 2016-12-01

Three Patterns Programmable Russian Form Functional Electrical Stimulator

10.11591/ijece.v6i6.pp2682-2687
Abbas Orand , Genichi Tanino , Hiroyuki Miyasaka , Kotaro Takeda , Shigeru Sonoda
In this paper, a programmable, multi-pattern, wide frequency and duty cycle range electrical stimulator is presented. Using a programmable micro-controller, two waves of carrier and modulating sources are produced. By modulating the two sources, 3 bi-phasic charge-balanced rectangular, triangular and sinusoidal stimulating patterns are produced. The frequency range of the carrier is fixed at 2.5 kHz and the carrier source frequency can be adjusted between 1 and 500 Hz. The duty cycle of both sources can be adjusted between 10% and 90%.
Volume: 6
Issue: 6
Page: 2682-2687
Publish at: 2016-12-01

Hysteresis SVM for Coupled Inductor Z Source Diode Clamped 3-level Inverter based Grid Connected PV System

10.11591/ijpeds.v7.i4.pp1181-1192
R. Palanisamy , A.U Mutawakkil , K. Vijayakumar
Due to its advantages such as it can defeat problems such as leakage current and insertion of DC in the grid and provides low stress on power devices, Diode clamped three-level inverter (DCTLI) is habitually used in transformerless photovoltaic (PV) connected to grid network. But it still has a problem of shoot-through which dwells in its legs, so its operation not reliable. Z source network is employed to permit operation without shoot through risk and improve its reliability. Coupled inductors are replace line transformers in to attain lower cost, reduced size, and improved its reliability and efficiency. Coupled inductor which avoids leakage current problem and losses. It employs coupled inductor z source diode clamped three level inverter (CI-Z-DC-TLI) to boost the voltage and further improve the reliability of the system by preventing the shoot through the problem. The proposed system assures that common-mode voltage and shoot-through risk is avoided. Moreover, controlling DC-TLI with Hysteresis SVM algorithm which improves output voltage and current control. Simulation and experimental results of this proposed system were analyzed using MATLAB environment and FPGA hardware.
Volume: 7
Issue: 4
Page: 1181-1192
Publish at: 2016-12-01

Face Recognition using Multi Region Prominent LBP Representation

10.11591/ijece.v6i6.pp2781-2788
Srinivasa Reddy Konda , Vijaya Kumar V , Venkata Krishna
Various face recognition methods are derived using local features among them the Local Binary Pattern (LBP) approach is very famous. The histogram techniques based on LBP is a complex task. Later Uniform Local Binary Pattern (ULBP) is derived on LBP, based on the bitwise transitions and ULBP’s are treated as the fundamental property of texture. The ULBP approach treated all Non-Uniform Local Binary Patterns’ (NULBP) into one miscellaneous label. Recently we have derived Prominent LBP (PLBP), Maximum PLBP (MPLBP) and Smallest PLBP (SPLBP). The PLBP consists of the majority of the ULBP’s and some of the NULBP’s. The basic disadvantage of these various variants of LBP’s  is they are basically local approaches and completely failed in representing features derived from large regions or macrostructures, which are very much essential for faces. This paper derives PLBP’s on the large region. The rectangular region of this paper is assumed with a size of multiples of three and PLBPs are evaluated on dividing each region into multiple regions. The proposed Multi Region-PLBP (MR-PLBP) approach is tested on three facial databases namely Yale, Indian and AT&T ORL. The experimental results show the proposed approach significantly outperforms the other LBP based face recognition methods.
Volume: 6
Issue: 6
Page: 2781-2788
Publish at: 2016-12-01

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

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

10.11591/ijai.v5.i4.pp149-157
Roslina Mat Ariff , Dirman Hanafi , Wahyu Mulyo Utomo , Nooradzianie Muhammad Zin , Sy Yi Sim , Azuwien Aida Bohari
This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.
Volume: 5
Issue: 4
Page: 149-157
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
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