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28,451 Article Results

Comparison of PI and PID Controlled Bidirectional DC-DC Converter Systems

10.11591/ijpeds.v7.i1.pp56-65
K.C. Ramya , V. Jegathesan
This paper deals with comparison of responses of the PI and the PID controlled bidirectional DC-DC converter systems. A coupled inductor is used in the present work to produce high gain. Open loop and closed loop controlled systems with PI and PID controllers are designed and simulated using Matlab tool. The principles of operation and simulation case studies are discussed in detail. The comparison is made in terms of rise time, fall time, peak overshoot and steady state error.
Volume: 7
Issue: 1
Page: 56-65
Publish at: 2016-03-01

Fuzzy Logic Controller Based Bridgeless Isolated Interleaved Zeta Converter for LED Lamp Driver Application

10.11591/ijpeds.v7.i2.pp509-520
Thenmozhi R , Sharmeela C , Natarajan P , Velraj R
In recent times, High-Brightness Light Emitting Diodes (HB-LEDs) are developing rapidly and it is confirmed to be the future development in lighting not only because of their high efficiency and high reliability, however also because of their other exceptional features: chromatic variety, shock and vibration resistance, etc. In this paper, a Bridgeless (BL) Isolated Interleaved Zeta Converter is proposed for the purpose of reducing the diode failures or losses, the value of output ripples also gets decreased. The proposed BL isolated interleaved zeta converter operating in Discontinuous Conduction Mode (DCM) is used for controlling the brightness of LED Driver with inherent PFC at ac mains using single voltage sensor. The fuzzy logic controller (FLC) is used to adjust the Modulation Index of the voltage controller in order to improve the dynamic response of LED Lamp driver. Based on the error of converter output voltage, FLC is designed to select the optimum Modulation Index of the voltage controller. The proposed LED driver is simulated to achieve a unity power factor at ac mains for a wide range of voltage control and supply voltage fluctuations.
Volume: 7
Issue: 2
Page: 509-520
Publish at: 2016-02-13

Control of Power and Voltage of Solar Grid Connected

10.11591/ijece.v6i1.pp26-33
Boucetta Abd Allah , Labed Djamel
Renewable energy is high on international agendas. Currently, grid-connected photovoltaic systems are a popular technology to convert solar energy into electricity. Control of power injected into the grid, maximum power point, high efficiency, and low total harmonic distortion of the currents injected into the grid are the requirements for inverter connection into the grid. Consequently, the performance of the inverters connected to the grid depends largely on the control strategy applied. In this paper the simulation and design of grid connected three phase photovoltaic system using Matlab/Simulink has examined. The proposed system consists photovoltaic panels, boost and inverter the PV system convert the sun irradiation into direct current, thereafter we have used a boost to track the maximum power point of the PV system, three-phase inverter and LC output filter. A VOC control strategy based on the phase shifting of the inverter output voltage with respect to the grid voltage. The proposed control strategy requires few hardware and computational resources. As a result, the inverter implementation is simple, and it becomes an attractive solution for low power grid connected applications.
Volume: 6
Issue: 1
Page: 26-33
Publish at: 2016-02-01

Prolonging the Lifetime of Wireless Sensor Networks using LPA-star Search Algorithm

10.11591/ijeecs.v1.i2.pp390-398
Ahmed A. Alkathmawee , Lusong Feng , Imad S. Alshawi
Since sensors have limited power resources, energy consumption has become a critical challenge to Wireless Sensor Networks (WSNs). Most of the routing protocols proposed to transmit data packets through paths which consume low energy aim simply to reduce battery power consumption. This can lead to lead to network partition and reduce network lifetime.Therefore, to balance energy consumption and extend network lifetime while minimizing packet delivery delay; this paper proposes a new energy-routing protocol using the lifelong planning A-star (LPA-star) search algorithm. This algorithm is used to find an optimum forwarding path between the source node and the sink. The optimum path can be selected depending on highest residual sensor energy, the shortest distance to the sink and lowest traffic load. Simulation results indicate that the proposed protocol increased the lifetime of the network compared with the A-star routing (EERP) protocol.
Volume: 1
Issue: 2
Page: 390-398
Publish at: 2016-02-01

Identification of Nonlinear Systems Structured by Wiener-Hammerstein Model

10.11591/ijece.v6i1.pp167-176
A Brouri , S Slassi
Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandwiched with two linear subsystems. The problem of identifying Wiener-Hammerstein models is addressed in the presence of hard nonlinearity and two linear subsystems of structure entirely unknown (asymptotically stable). Furthermore, the static nonlinearity is not required to be invertible. Given the system nonparametric nature, the identification problem is presently dealt with by developing a two-stage frequency identification method, involving simple inputs.
Volume: 6
Issue: 1
Page: 167-176
Publish at: 2016-02-01

A Study on the Effect of Consumer Involvement and Affect Intensity before and after Plagiarism Suspicion on the Purchase Intention of Music Goods

10.11591/ijece.v6i1.pp268-274
Jin-Wan Jo , Mi-Hae Shin , Young-Chul Kim
This study aims to examine the effect of consumers' involvement and affect intensity on the purchase intention of music items. In particular  domestically, there is no clear standard for judgment of plagiarism, and thus it is expected that plagiarism suspicion is likely to affect consumers' involvement and affect intensity, and as a result, their purchase intention as well. Accordingly, consumer characteristics (involvement, affect intensity) were chosen as independent variables, and consumers' purchase intention on music items as a subordinate variable, respectively. The first questionnaire-based survey was conducted before the awareness of plagiarism suspicion, followed by the second survey after the awareness of plagiarism suspicion. It turned out that the higher level of involvement and affect intensity, both of which are consumer characteristics, the higher level of purchase intention of music goods. While plagiarism suspicion caused C.R values to decrease in every item, a significant difference was observed only in the relation of ‘involvement - purchase intention’. This study shows that music items which involve plagiarism suspicion result in changes in consumers' purchase intention, which will cause damage to the creators and performers of related music items. Thus, for the development of the music industry and creative activity, tools and standards that can clearly distinguish plagiarism need to be developed.
Volume: 6
Issue: 1
Page: 268-274
Publish at: 2016-02-01

Augmented Reality Navigation System on Android

10.11591/ijece.v6i1.pp406-412
Chee Oh Chung , Yilun He , Hoe Kyung Jung
With the advent of the Android system, smart phones are rapidly developing and through the conveniency of accessing internet on the smart phones, a user’s location information can be accessed anywhere and anytime easily. Augmented Reality Based Technology enables the provision of variety information such as pictures and location of buildings in the navigation field. Most of the augmented reality program used to Visual Trace Method (Marker method and Markerless Method). For the Visual Trace Method, the marker installation and digital information should be assigned while the Non-visual Trace Method requires the use of hardware (G.P.S, sensors etc). Most navigation systems can only show the path from a user’s current location to their destination. In this paper, the design and implementation of an augmented reality program is discussed. It will use the smart phone’s inbuilt camera and GPS to display a user’s surround information in real time on the smart phone. The proposed system will combine the G.P.S location-based technology and virtual trace technology to provide the user with basic information about a building they are looking for or one in their immediate surrounding.
Volume: 6
Issue: 1
Page: 406-412
Publish at: 2016-02-01

High Speed Power Efficient CMOS Inverter Based Current Comparator in UMC 90 nm Technology

10.11591/ijece.v6i1.pp90-98
Veepsa Bhatia , Neeta Pandey , Asok Bhattacharyya
A novel power-speed efficient current comparator is proposed in this paper. It comprises of only CMOS inverters in its structure, employing a simple biasing method. The structure offers simplicity of design. It posesses the very desirable features of high speed and low power dissipation, making this structure a highly desirable one for various current mode applications. The simulations have been performed using UMC 90 nm CMOS technology and the results demonstrate the propagation delay of about 3.1 ns and the average power consumption of 24.3 µW for 300 nA input current at supply voltage of 1V.
Volume: 6
Issue: 1
Page: 90-98
Publish at: 2016-02-01

The Selection of Useful Visual Words for Class-Imbalanced Data in Image Classification

10.11591/ijece.v6i1.pp307-319
Sutasinee Chimlek , Part Pramokchon , Punpiti Piamsa-nga
The bag of visual words (BOVW) has recently been used for image classification in large datasets. A major problem of image classification using BOVW is high dimensionality, with most features usually being irrelevant and different BOVW for multi-view images in each class. Therefore, the selection of significant visual words for multi-view images in each class is an essential method to reduce the size of BOVW while retaining the high performance of image classification. Many feature scores for ranking produce low classification performance for class imbalanced distributions and multi-views in each class. We propose a feature score based on the statistical t-test technique, which is a statistical evaluation of the difference between two sample means, to assess the discriminating power of each individual feature. The multi-class image classification performance of the proposed feature score is compared with four modern feature scores, such as Document Frequency (DF), Mutual information (MI), Pointwise Mutual information (PMI) and Chi-square statistics (CHI). The results show that the average F1-measure performance on the Paris dataset and the SUN397 dataset using the proposed feature score are 92% and 94%, respectively, while all other feature scores do not exceed 80%.
Volume: 6
Issue: 1
Page: 307-319
Publish at: 2016-02-01

Improved Learning Scheme for Cognitive Radio using Artificial Neural Networks

10.11591/ijece.v6i1.pp257-267
Rita Mahajan , Deepak Bagai
The future of wireless system is facing the problem of spectrum scarcity. Number of users is increasing rapidly but available spectrum is limited. The Cognitive Radio (CR) network technology can enable the unlicensed users to share the frequency spectrum with the licensed users on a dynamic basis without creating any interference to primary user. Whenever secondary user finds that primary user is not transmitting and channel is free then it uses channel opportunistically. In this paper cognitive radio with predictive capability using artificial neural network has been proposed. The advantage of such cognitive user is saving of time and energy for spectrum sensing. Proposed radio will sense only that channel which is predicted to be free and channel is selected on the basis of maximum vacant time. Performance has been evaluated in the term of mean square error. The results show that this learning capability can be embedded in secondary users for better performance of future wireless technologies.  
Volume: 6
Issue: 1
Page: 257-267
Publish at: 2016-02-01

A Daily Activity Monitoring System for Internet of Things-Assisted Living in Home Area Networks

10.11591/ijece.v6i1.pp399-405
Hyun-Sik Kim , Jong-Su Seo , Jeongwook Seo
In this paper, a daily activity monitoring system for Internet of Things (IoT)- assisted living in home area networks is proposed in order to provide care for elderly people who live alone. The proposed system consists of two main parts: an IoT-assisted living space with contactless activity sensors, a help trigger, and an emergency gateway and a daily activity monitoring server with a range of components including data collection, event and user management, activity analysis and reporting, and so on. The contactless activity sensors can be placed anywhere in the home, and the emergency gateway collects data from them, detects emergency situations reported through the help trigger, and communicates with the daily activity monitoring server. The server analyzes and reports the daily activities and activity patterns of elderly users using a predefined activity index. In addition, unexpected emergency situations can be estimated and prevented through analysis of the activity information.
Volume: 6
Issue: 1
Page: 399-405
Publish at: 2016-02-01

Analysis of Ionospheric foF2 by Solar Activity over the Korean Peninsula

10.11591/ijece.v6i1.pp71-81
Min-Ho Jeon , Chang-Heon Oh
The F2 layer is the upper sector of the ionospheric F region, and it is ~250 km above sea level. It has a high electron density and thus plays an important role in shortwave communications. The variations of the critical frequency of the F2 layer (foF2) offer clues regarding the events happening within the entire F2 layer, and foF2 analysis is essential for stable shortwave communications. This study analyzes the seasonal and annual variations of the foF2 as well as the reactions of the F2 layer height at two locations in South Korea by employing the mean and standard deviation (SD) used in previous studies. To ensure a more elaborate analysis, the median and quartiles were used for analyzing the ionosphere. We thereby compensate for the limitations of the mean and SD in developing the SD, despite the convenience of the SD for probability analysis. The application of the median and quartiles for the analysis of ionospheric data led to analysis results with greater detail. This was achieved by determining the relative SD and concurrently displaying the outliers and range of variations
Volume: 6
Issue: 1
Page: 71-81
Publish at: 2016-02-01

Path Planning Based on Fuzzy Decision Trees and Potential Field

10.11591/ijece.v6i1.pp212-222
Iswanto Iswanto , Oyas Wahyunggoro , Adha Imam Cahyadi
The fuzzy logic algorithm is an artificial intelligence algorithm that uses mathematical logic to solve to by the data value inputs which are not precise in order to reach an accurate conclusion. In this work, Fuzzy decision tree (FDT) has been designed to solve the path planning problem by considering all available information and make the most appropriate decision given by the inputs. The FDT is often used to make a path planning decision in graph theory. It has been applied in the previous researches in the field of robotics, but it still shows drawbacks in that the robot will stop at the local minima and is not able to find the shortest path. Hence, this paper combines the FDT algorithm with the potential field algorithm. The potential field algorithm provides weight to the FDT algorithm which enables the robot to successfully avoid the local minima and find the shortest path.
Volume: 6
Issue: 1
Page: 212-222
Publish at: 2016-02-01

3LRM-3 Layer Risk Mitigation Modelling of ICT Software Development Projects

10.11591/ijece.v6i1.pp349-356
Salma Firdose , L. Manjunath Rao
With the adoption of new technology and quality standards, the software development firms are still encountering the critical issues of risk modelling. With the changing dynamics of customer needs, potential competition has being mushrooming in the global IT markets to relay a new standard of software engineering which has higher capability of sustaining risk.  However, till date, it is still theoretical to large extent from research viewpoint. Hence, this paper presents a mathematical model called as 3LRM that is designed with the simple approach keeping in mind the real-time issues of risk factors in software engineering for ICT software development project. The study has also identified requirement volatility as one of the prominent source of risk and hence, the framework intends to identify a risk as well as mitigating the risk to a large extent. The paper is illustrated with some of the simple statistical approaches of random probability.
Volume: 6
Issue: 1
Page: 349-356
Publish at: 2016-02-01

Modeling and Simulation of MPPT-SEPIC Combined Bidirectional Control Inverse KY Converter Using ANFIS in Microgrid System

10.11591/ijeecs.v1.i2.pp264-272
Soedibyo Soedibyo , Farid Dwi Murdianto , Suyanto Suyanto , Mochamad Ashari , Ontoseno Penangsang
Photovoltaic system (PV) is widely used in various renewable energy application. The main problem of PV system is how to get the maximum output power which is integrated in microgrid system. Furthermore, the redundancy output power generated by on a distribution system should also be considered. This study utilizes the excess power for energy storage using bidirectional of KY inverse converter. Since the DC voltage which generated by PV and the energy storage will be converted into AC voltage using inverter toward load. This paper proposes ANFIS as search optimization method using SEPIC converter with a maximum efficiency of 99.95% to impact to power generation performance  in microgrid system.
Volume: 1
Issue: 2
Page: 264-272
Publish at: 2016-02-01
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