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29,167 Article Results

Response Based Comparative Analysis of Two Inverter Fed Six Phase PMSM Drive by Using PI and Fuzzy Logic Controller

10.11591/ijece.v6i6.pp2643-2657
Anurag Singh Tomer , Saty Prakash Dubey
This Paper gives a complete modeling and simulation of a two inverter fed six phase permanent magnet synchronous motor drive system, Then response based comparative analysis is done on starting torque ,settling time, Steady state current at various speed levels and torque levels by changing  proportional- integral (PI) controller to  Fuzzy logic controller. The PI controller has some disadvantages like, more settling time, sluggish response due to sudden change in load torque etc. So an intelligent controller, based on fuzzy logic is introduced which replaces the PI-controller and its drawbacks. The performance of both the controller has been investigated and studied by comparing the different plots obtained by setting various speed level both incremented and decremented speed  , at different load conditions like No-load, fix load and dynamic load through Matlab/Simulink environment. Finally it is concluded from the result that fuzzy logic based controller is robust, reliable gives quick response with high starting torque and more effective than the conventional PI controller. It is also observed that both the proposed model can also run above rated speed significantally.
Volume: 6
Issue: 6
Page: 2643-2657
Publish at: 2016-12-01

Analyzing the Optimal Performance of Pest Image Segmentation using Non Linear Objective Assessments

10.11591/ijece.v6i6.pp2789-2796
Siva Sangari A , Saraswady D
In modern agricultural field, pest detection is a major role in plant cultivation. In order to increase the Production rate of agricultural field, the presence of whitefly pests which cause leaf discoloration is the major problem.  This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image processing is affected by illumination conditions, random noise and environmental disturbances due to atmospheric pressure or temperature fluctuation. The quality of pest images is directly affected by atmosphere medium, pressure and temperature. The fuzzy c means (FCM) have been proposed to identify accurate location of whitefly pests. The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to pest image analysis, it has important drawbacks (over segmentation, sensitivity to noise). In this paper, pest image segmentation using marker controlled watershed segmentation is presented. Objective of this paper is segmenting the pest image and comparing the results of fuzzy c means algorithm and marker controlled watershed transformation. The performance of an image segmentation algorithms are compared using nonlinear objective assessment or the quantitative measures like structural content, peak signal to noise ratio, normalized correlation coefficient, average difference and normalized absolute error. Out of the above methods the experimental results show that fuzzy c means algorithm performs better than watershed transformation algorithm in processing pest images.
Volume: 6
Issue: 6
Page: 2789-2796
Publish at: 2016-12-01

Query Optimization Using Fuzzy Logic in Integrated Database

10.11591/ijeecs.v4.i3.pp637-642
Susana Susana , Suharjito Suharjito
Query optimization in integrated database can’t be separated from data processing method.  In order to have faster query response time, a method to optimize queries is required.  One of many methods that can be used for query optimization is using fuzzy logic with Tsukamoto inference system.  Value set on each variable is defined membership functions and Tsukamoto inference system used in determining these rules or the terms of query results, then apply it into query method or query line structure.  The application of fuzzy logic inference systems with Tsukamoto can accelerate query response time, and will have more significant difference when the amount of selected data is greater.
Volume: 4
Issue: 3
Page: 637-642
Publish at: 2016-12-01

Concentrating Power for MPPT Solar PV Module forming Channelization of Efficient Energy

10.11591/ijeecs.v4.i3.pp526-531
Pankaj Aswal , Mayank Chaturvedi , Puspender Singh , Pradeep Kumar Juneja
The energy of photovoltaic (PV) is going to become a most relevant part of renewable energy in world, by PVC Cell system for sufficient energy extraction this research will scrutinize the solar PV energy generation and conversion by effective devices to grid alliances Here this treatise target on I-V and P-V characteristics of Photo volatile modules or array, primarily under irregular shading condition, the model development of PV system and considering both physical and electrical parameters of solar PV module. The treatise ponder that how disparate bypass diode collocation could be influences maximum power conclusion characteristics of a solar PV module or array.
Volume: 4
Issue: 3
Page: 526-531
Publish at: 2016-12-01

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

2D Optical Fiber Wave Guide Design for Multi Haul Applications

10.11591/ijict.v5i3.pp94-105
Venkata Raghavendra Miriampally
The optical communications had an exponential growth over the last few years, having a significant commercial market in optical systems and components. This growth has been extended across all application areas, from transcontinental and transoceanic distances to regional networks and lastly to campus and building wiring. This paper basically explains the concept of Optical fiber communication, the propagation of light inside the fiber and mainly the two dimensional design of optical fiber itself. The researcher discusses the parameters such as effective group delay, dispersion. Modes, Bending Loss, Material Loss, Mode field, Birefringence, Splice Loss, Polarization Mode Dispersion (PMD), Effect of nonlinear Refractive Index. Finally we design the optical fiber with all the above mentioned parameters.
Volume: 5
Issue: 3
Page: 94-105
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

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
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