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28,188 Article Results

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

A Novel Approach to Study the Effects of Anesthesia on Respiratory Signals by using the EEG Signals

10.11591/ijict.v6i2.pp117-122
Mohd Suhaib Kidwai , S. Hasan Saeed
General anesthesia plays a crucial role in many surgical procedures. It is a drug-induced, reversible state characterized by unconsciousness, anti-nociception or analgesia, immobility and amnesia. On rare occasions, however, the patient can remain unconscious longer than intended, or may regain awareness during surgery. There are no precise measures for maintaining the correct dose of anesthetic, and there is currently no fully reliable instrument to monitor depth of anesthesia. Although a number of devices for monitoring brain function or sympathetic output are commercially available, the anesthetist also relies on clinical assessment and experience to judge anesthetic depth. The undesirable consequences of overdose or unintended awareness might in principle be ameliorated by improved control if we could understand better the changes in function that occur during general anesthesia. Coupling functions prescribe the physical rule specifying how the inter-oscillator interactions occur. They determine the possibility of qualitative transitions between the oscillations, e.g. routes into and out of phase synchronization. Their decomposition can describe the functional contribution from each separate subsystem within a single coupling relationship. In this way, coupling functions offer a unique means of describing mechanisms in a unified and mathematically precise way. It is a fast growing field of research, with much recent progress on the theory and especially towards being able to extract and reconstruct the coupling functions between interacting oscillations from data, leading to useful applications in cardio respiratory interactions.In this paper, a novel approach has been proposed for detecting the changes in synchronism of brain signals, taken from EEG machine. During the effect of anesthesia, there are certain changes in the EEG signals. Those signals show changes in their synchronism. This phenomenon of synchronism can be utilized to study the effect of anesthesia on respiratory parameters like respiration rate etc, and hence the quantity of anesthesia can be regulated, and if any problem occurs in breathing during the effect of anesthesia on patient, that can also be monitored
Volume: 6
Issue: 2
Page: 117-122
Publish at: 2017-08-01

Energy Optimization of Routing Protocols in Wireless Sensor Networks

10.11591/ijict.v6i2.pp76-85
Fatima Es-sabery , Hicham Ouchitachen , Abdellatif Hair
The hierarchical routing of data in WSNs is a specific class of routing protocols it encompasses solutions that take a restructuring of the physical network in a logical hierarchy system for the optimization of the consum-ption of energy. Several hierarchical routing solutions proposed, namely: the protocol LEACH (Low Energy Adaptive Clustering Hierarchy) consist of dividing the network in distributed clusters at one pop in order of faster data delivery and PEGASIS protocol (Power-Efficient Gathering in Sensor Information Systems) which uses the principle of constructing a chain’s sensor node. Our contribution consists of a hierarchical routing protocol, which is the minimization of the energy consumption by reducing the transmission distance of data and reducing the data delivery time. Our solution combines the two hierarchical routing approaches: chain based approach and the cluster based approach. Our approach allows for multi-hop communications, intra- and intercluster, and a collaborative aggregation of data in each Cluster, and a collaborative aggregation of data at each sensor node.
Volume: 6
Issue: 2
Page: 76-85
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

Design of Remote Control Juvenile Healthy Smart Pillow

10.11591/ijeecs.v7.i1.pp97-106
Huadong Zhou , Xuran He , Jiaheng Yang , Lifan Liao
High-quality modern life results in many unique diseases of modern people, cervical spondylosis, sleep disorders. Adolescents lack of sleep have a negative impac on the students themselvest. Not only it will reduce the body resistance, prone to a variety of diseases, but also it make learning when the spirit is not concentrated, attention is decreased, thus affecting the learning state. Long-term lack of sleep will lead to psychological problems, a potential threat is formed to the physical and mental health of young people. To this end, based on WeChat platform, a young people's health intelligence pillow is designed, it can be remotely controned.
Volume: 7
Issue: 1
Page: 97-106
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

Efficiency of JSON for Data Retrieval in Big Data

10.11591/ijeecs.v7.i1.pp250-262
Mohd Kamir Yusof
Big data is the latest industry buzzword to describe large volume of structured and unstructured data that can be difficult to process and analyze. Most of organization looking for the best approach to manage and analyze the large volume of data especially in making a decision. XML is chosen by many organization because of powerful approach during retrieval and storage processes. However, XML approach, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, two databases approaches namely Extensible Markup Language (XML) and Java Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records of publication data. The results showed JSON is the best choice for query retrieving speed and CPU usage. These are essential to cope with the characteristics of publication’s data. Whilst, XML and JSON technologies are relatively new to date in comparison to the relational database. Indeed, JSON technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.
Volume: 7
Issue: 1
Page: 250-262
Publish at: 2017-07-01
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