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28,910 Article Results

Active Distribution Grid Power Flow Analysis using Asymmetrical Hybrid Technique

10.11591/ijece.v7i4.pp1738-1748
Paramet Wirasanti , Egon Ortjohann
A conventional distribution power flow analysis has to be improved regards the changes in distribution network. One of the changes is a grid operation because a new grid concept, e.g. micro-grid and aggregation, is aimed to be operated based on area itself. Consequently, each area can be actively operated in either grid connected mode or islanding mode. Hence, this paper proposes an asymmetrical power flow analysis using hybrid technique to support this flexible mode change. The hybrid technique offers an opportunity to analyze power flow in a decoupling way. This means that the power flow analysis can be performed separately in each grid area. Regards the distributed generation, this paper also introduces a model based on inverter-based operation, i.e. grid forming, grid supporting and grid parallel. The proposed asymmetrical hybrid load flow method is examined in three case studies, i.e. a verification study with the DIgSILENT PowerFactory, a demonstration of decoupling analysis approach and a performance study with the Newton-Raphson method.
Volume: 7
Issue: 4
Page: 1738-1748
Publish at: 2017-08-01

A Novel Displacement-amplifying Compliant Mechanism Implemented on a Modified Capacitive Accelerometer

10.11591/ijece.v7i4.pp1858-1866
Ramon Cabello-Ruiz , Margarita Tecpoyotl-Torres , Alfonso Torres-Jacome , Volodymyr Grimalsky , Jose Gerardo Vera-Dimas , Pedro Vargas-Chable
The micro-accelerometers are devices used to measure acceleration. They are implemented in applications such as tilt-control in spacecraft, inertial navigation, oil exploration, etc. These applications require high operating frequency and displacement sensitivity. But getting both high parameter values at the same time is difficult, because there are physical relationships, for each one, where the mass is involved. When the mass is reduced, the operating frequency is high, but the displacement sensitivity decreases and vice versa. The implementation of Displacement-amplifying Compliant Mechanism (DaCM) supports to this dependence decreases. In this paper the displacement sensitivity and operation frequency of a Conventional Capacitive Accelerometer are shown (CCA). A Capacitive Accelerometer with Extended Beams (CAEB) is also presented, which improves displacement sensitivity compared with CCA, and finally the implementation of DACM´s in the aforementioned devices was also carried out. All analyzed cases were developed considering the in-plane mode. The Matlab code used to calculate displacement sensitivity and operating frequency relationship is given in Appendix A.
Volume: 7
Issue: 4
Page: 1858-1866
Publish at: 2017-08-01

Design of Compact Tri-Band Fractal Antenna for RFID Readers

10.11591/ijece.v7i4.pp2036-2044
Mohamed Ihamji , Elhassane Abdelmounim , Hamid Bennis , Mostafa Hefnawi , Mohamed Latrach
In this paper, a multiband and miniature rectangular microstrip antenna is designed and analyzed for Radio Frequency Identification (RFID) reader applications. The miniaturization is achieved using fractal technique and the physical parameters of the structure as well as its ground plane are optimized using CST Microwave Studio. The total area of the final structure is 71.6 x 94 mm2. The results show that the proposed antenna has good matching input impedance with a stable radiation pattern at 915 MHz, 2.45 GHz, and 5.8 GHz.
Volume: 7
Issue: 4
Page: 2036-2044
Publish at: 2017-08-01

Intelligent Hybrid Cloud Data Hosting Services with Effective Cost and High Availability

10.11591/ijece.v7i4.pp2176-2182
Madhu Bala Myneni , L V Narasimha Prasad , D Naveen Kumar
In this Paper the major concentration is an efficient and user based data hosting service for hybrid cloud. It provides friendly transaction scheme with the features of cost effective and high availability to all users. This framework intelligently puts data into cloud with effective cost and high availability. This gives a plan of proof of information respectability in which the client has utilize to check the rightness of his information. In this study the major cloud storage vendors in India are considered and the parameters like storage space, cost of storage, outgoing bandwidth and type of transition mode. Based on available knowledge on all parameters of existing cloud service providers in India, the intelligent hybrid cloud data hosting framework are assured to customers for low cost and high availability with mode of transition. It guarantees that the ability at the customer side is negligible and which will be helpful for customers.
Volume: 7
Issue: 4
Page: 2176-2182
Publish at: 2017-08-01

Virtual Laboratory for Line Follower Robot Competition

10.11591/ijece.v7i4.pp2253-2260
Suwasono Suwasono , Dwi Prihanto , Irawan Dwi Wahyono , Andrew Nafalski
Laboratory serves as an important facility for experiment and research activity. The limitation of time, equipment, and capacity in the experiment and research undertaking impede both students and college students in undertaking research for competition preparation, particularly dealing with line follower robot competition which requires a wide space of the room with various track types. Unsettled competition track influences PID control setting of line follower robot. This study aims at developing Virtual Laboratory (V-Lab) for students or college students who are preparing for line follower robot competition with unsettled and changeable tracks. This study concluded that the trial data score reached 98.5%, the material expert score obtained 89.7%, learning model expert score obtained 97.9%, and the average score of small group learning model and field of 82.4%, which the average score of the entire aspects obtained 90.8%.
Volume: 7
Issue: 4
Page: 2253-2260
Publish at: 2017-08-01

A Study of SVC’s Impact Simulation and Analysis for Distance Protection Relay on Transmission Lines

10.11591/ijece.v7i4.pp1686-1695
Ngo Minh Khoa , Nguyen Huu Hieu , Dinh Thanh Viet
This paper focuses on analyzing and evaluating impact of a Static Var Compensator (SVC) on the measured impedance at distance protection relay location on power transmission lines. The measured impedance at the relay location when a fault occurs on the line is determined by using voltage and current signals from voltage and current transformers at the relay and the type of fault occurred on the line. The MHO characteristic is applied to analyze impact of SVC on the distance protection relay. Based on the theory, the authors in this paper develop a simulation program on Matlab/Simulink software to analyze impact of SVC on the distance protection relay. In the power system model, it is supposed that the SVC is located at mid-point of the transmission line to study impact of SVC on the distance relay. The simulation results show that SVC will impact on the measured impedance at the relay when the fault occurs after the location of the SVC on the power transmission line.
Volume: 7
Issue: 4
Page: 1686-1695
Publish at: 2017-08-01

A New Induction Motor Adaptive Robust Vector Control based on Backstepping

10.11591/ijece.v7i4.pp1983-1993
Mhamed Madark , A. Ba-Razzouk , E. Abdelmounim , M.El Malah
In this paper, a novel approach to nonlinear control of induction machine, recursive on-line estimation of rotor time constant and load torque are developed. The proposed strategy combines Integrated Backstepping and Indirect Field Oriented Controls. The proposed approach is used to design controllers for the rotor flux and speed, estimate the values of rotor time constant and load torque and track their changes on-line. An open loop estimator is used to estimate the rotor flux. Simulation results are presented which demonstrate the effectiveness of the control technique and on-line estimation.
Volume: 7
Issue: 4
Page: 1983-1993
Publish at: 2017-08-01

Particle Swarm Optimization for the Path Loss Reduction in Suburban and Rural Area

10.11591/ijece.v7i4.pp2125-2131
Messaoud Garah , Houcine Oudira , Lotfi Djouane , Nazih Hamdiken
In the present work, a precise optimization method is proposed for tuning the parameters of the COST231 model to improve its accuracy in the path loss propagation prediction. The Particle Swarm Optimization is used to tune the model parameters. The predictions of the tuned model are compared with the most popular models. The performance criteria selected for the comparison of various empirical path loss models is the Root Mean Square Error (RMSE). The RMSE between the actual and predicted data are calculated for various path loss models. It turned out that the tuned COST 231 model outperforms the other studied models.
Volume: 7
Issue: 4
Page: 2125-2131
Publish at: 2017-08-01

Prioritizing Power demand response for Hydrogen PEMFC-Electric Vehicles using Hybrid Energy Storage

10.11591/ijece.v7i4.pp1789-1796
Jawadi Samir , Ben Slama Sami , Cherif Adnane
PEMFC powered Hybrid vehicle system is one of an interesting issue for the industry due to its high performances. The PEMFC cannot certainly ensure a sustained required energy in some scenarios. To solve this problem related to PEMFC transient response, a Hybrid Electrical Storage System (HES) is a potential candidate for a solution. The proposed Hybrid Storage system is comprised of the battery (BT) and a Super-Capacitor (SC) components. These components are included to control the hydrogen variations and the fast peak powers scenarios respectively. The SC is used to control PEMFC and the BT slow dynamics at the same times. An accurate Multi-Ways Energy Management System (MW-EMS) is proposed which aims to cooperate with the system components through SC/BT state of charge and a flux calculation. The simulation results are discussed and assessed using  MATLAB/ Simulink.
Volume: 7
Issue: 4
Page: 1789-1796
Publish at: 2017-08-01

Performance Evaluation of Energy Detector Based Spectrum Sensing for Cognitive Radio using NI USRP-2930

10.11591/ijece.v7i4.pp1934-1940
Fatima Zahra El Bahi , Hicham Ghennioui , Mohcine Zouak
This paper presents the performance evaluation of the Energy Detector technique, which is one of the most popular Spectrum Sensing (SS) technique for Cognitive Radio (CR). SS is the ability to detect the presence of a Primary User (PU) (i.e. licensed user) in order to allow a Secondary User (SU) (i.e unlicensed user) to access PU's frequency band using CR, so that the available frequency bands can be used efficiently. We used for implementation an Universal Software Radio Peripheral (USRP), which is the most used Software Defined Radio (SDR) device for research in wireless communications. Experimental measurements show that the Energy Detector can obtain good performances in low Signal to Noise Ratio (SNR) values. Furthermore, computer simulations using MATLAB are closer to those of USRP measurements.
Volume: 7
Issue: 4
Page: 1934-1940
Publish at: 2017-08-01

Extending UPnP for Application Interoperability in a Home Network

10.11591/ijece.v7i4.pp2085-2093
Kalaiselvi Arunachalam , Gopinath Ganapathy
The Universal Plug and Play (UPnP) technology offers pervasive communication across heterogeneous devices in a home or small office network. The UPnP specifications are available for devices only to be interoperable together in a home or small office network. This paper proposes an extension of the UPnP technology for application interoperability in a home or small office network. This paper provides an UPnP Application Architecture as an extension to the existing UPnP Device Architecture. This extension enhances the feature of UPnP from device interoperability to application interoperability which enables the applications to discover, control and share data with each other in a home or small office network despite of their device type and operating system. In addition to the UPnP Application Architecture, the UPnP Application Template and UPnP Application Service Template are defined towards the development of UPnP-enabled applications that run on heterogeneous devices in a home or small office network.
Volume: 7
Issue: 4
Page: 2085-2093
Publish at: 2017-08-01

Fuzzy Association Rule Mining based Model to Predict Students’ Performance

10.11591/ijece.v7i4.pp2223-2231
Sushil Kumar Verma , R.S. Thakur , Shailesh Jaloree
The major intention of higher education institutions is to supply quality education to its students. One approach to get maximum level of quality in higher education system is by discovering knowledge for prediction regarding the internal assessment and end semester examination. The projected work intends to approach this objective by taking the advantage of fuzzy inference technique to classify student scores data according to the level of their performance. In this paper, student’s performance is evaluated using fuzzy association rule mining that describes Prediction of performance of the students at the end of the semester, on the basis of previous database like Attendance, Midsem Marks, Previous semester marks and Previous Academic Records were collected from the student’s previous database, to identify those students which needed individual attention to decrease fail ration and taking suitable action for the next semester examination.
Volume: 7
Issue: 4
Page: 2223-2231
Publish at: 2017-08-01

Content Based Image Retrieval using Feature Extraction in JPEG Domain and Genetic Algorithm

10.11591/ijeecs.v7.i1.pp226-233
Parvin N , Kavitha P
Content-Based Image Retrieval (CBIR) aims at retrieving the images from the database based on the user query which is visual form rather than the traditional text form. The applications of CBIR extends from surveillance to remote sensing, medical imaging to weather forecasting, security systems to historical research and so on. Though extensive research is made on content based image retrieval in the spatial domain, we have most images in the internet which is JPEG compressed which pushes the need for image retrieval in the compressed domain itself rather than decoding it to raw format before comparison and retrieval. This research addresses the need to retrieve the images from the database based on the features extracted from the compressed domain along with the application of genetic algorithm in improving the retrieval results. The research focuses on various features and their levels of impact on improving the precision and recall parameters of the CBIR system. Our experimentation results also indicate that the CBIR features in compressed domain along with the genetic algorithm usage improves the results considerably when compared with the literature techniques. 
Volume: 7
Issue: 1
Page: 226-233
Publish at: 2017-07-01

MRI Denoising using Sparse Based Curvelet Transform with Variance Stabilizing Transformation Framework

10.11591/ijeecs.v7.i1.pp116-122
Sidheswar Routray , Arun Kumar Ray , Chandrabhanu Mishra
We develop an efficient MRI denoising algorithm based on sparse representation and curvelet transform with variance stabilizing transformation framework. By using sparse representation, a MR image is decomposed into a sparsest coefficients matrix with more no of zeros. Curvelet transform is directional in nature and it preserves the important edge and texture details of MR images. In order to get sparsity and texture preservation, we post process the denoising result of sparse based method through curvelet transform. To use our proposed sparse based curvelet transform denoising method to remove rician noise in MR images, we use forward and inverse variance-stabilizing transformations. Experimental results reveal the efficacy of our approach to rician noise removal while well preserving the image details. Our proposed method shows improved performance over the existing denoising methods in terms of PSNR and SSIM for T1, T2 weighted MR images.
Volume: 7
Issue: 1
Page: 116-122
Publish at: 2017-07-01

Performance Evaluation of Elliptical-Cylindrical Antenna Array using SaDE Optimized Hyper Beam

10.11591/ijeecs.v7.i1.pp178-188
Gebrehiwet Gebrekrstos Lema
For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand. In this paper, an optimization technique called Self-adaptive Differential Evolution (SaDE) that can be able to learn and behave intelligently along with hyper beam forming is integrated to determine an optimal set of excitation weights in the design of EcAA. Non-uniform excitation weights of the individual array elements of EcAA are performed to obtain reduced SLL, high directivity and flexible radiation pattern. To evaluate the improved performance of the proposed SaDE optimized hyper beam, comparison are done with uniformly excited, SaDE without hyper beam and Genetic Algorithm (GA). In general, the proposed work of pattern synthesis has resulted in much better reduction of SLL and FNBW than both the uniformly excited and thinned EcAA. The results of this study clearly reveal that the SLL highly reduced at a very directive beamwidth.
Volume: 7
Issue: 1
Page: 178-188
Publish at: 2017-07-01
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