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International Journal of Electrical and Computer Engineering
Published by Institute of Advanced Engineering and Science
ISSN : 20888708     EISSN : 27222578     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 18 Documents
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Search results for , issue "Vol 3, No 6: December 2013" : 18 Documents clear
Real-Time Hand Gesture Recognition Based on the Depth Map for Human Robot Interaction Minoo Hamissi; Karim Faez
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.276 KB)

Abstract

In this paper, we propose and implement a novel and real-time method for recognizing hand gestures using depth map. The depth map contains information relating to the distance of objects from a viewpoint. Microsoft’s Kinect sensor is used as input device to capture both the color image and its corresponding depth map. We first detect bare hand in cluttered background using distinct gray-level of the hand which is located near to the sensor. Then, scale invariance feature transform (SIFT) algorithm is used to extract feature vectors. Lastly, vocabulary tree along with K-means clustering method are used to partition the hand postures to ten simple sets as: "one", "two", "three", "four", "five", "six", "seven", "eight", "nine" and "ten" numbers based on the number of extended fingers. The vocabulary tree allows a larger and more discriminatory vocabulary to be used efficiently. Consequently, it leads to an improvement in accuracy of the clustering. The experimental results show superiority of the proposed method over other available approaches. With this approach, we are able to recognize 'numbers' gestures with over 90% accuracy.DOI:http://dx.doi.org/10.11591/ijece.v3i6.3954
Intelligent Pillow for Heart Rate Monitor Everlyn Chiang; Muthukumar Vellaisamy
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.936 KB)

Abstract

The aim of the project is to develop intelligent pillow to monitor the heart rate by using fiber optical sensor. The research is focused upon allowing more automation of patient care, an especially important matter for the elder population or bedridden patients, which is a rapidly growing fraction of much of the world population today. The fiber-optical sensor is built into pillow. Patients can determine their heart rate by just lying on the pillow and the device will not cause any disturbance to patients and at the same time still monitoring the heart rate. ECG electrodes and finger clip / ear lobe clip probes (using IR LED and photodiode technology) are commonly used for monitoring heart rate. Unfortunately, they are inconvenient and inadequate for long-term, everyday measurements. Fiber-optical sensing overcomes many of these challenges by using light rather than electricity and standard optical fiber in place of copper wire. Optical fibers are nonconductive, electrically passive, immune to electromagnetic interference (EMI)-induced noise, and able to transmit data over long distances with little or no loss in signal integrity. Using the concept of light and the benefits of using fiber optical sensors to detect the heart rate, PPG(photoplethysmogram) is being used in this project. A photoplethysmogram (PPG) is an optically obtained plethysmogram, a volumetric measurement of an organ. A PPG is often obtained by using a pulse oximeter which illuminates the skin and measures changes in light absorption (Shelley and Shelley, 2001).DOI:http://dx.doi.org/10.11591/ijece.v3i6.4050
Effect of Functionally Graded Material of Disc Spacer with Presence of Multi-Contaminating Particles on Electric Field inside Gas Insulated Bus Duct Mousa Awad Allah Abd Allah; Sayed Abo El Saood Ward; Amr Ameen Youssef
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Solid insulators play a crucial role of electrical insulation in gas insulated power equipment. In order to improve the insulation performance of the solid insulators, two technical points should be considered, the first is the improvement of the insulation performance and the second is the control of the electric field distribution in and around the solid insulating spacers. Practically the insulation performance around the spacer can be improved by various techniques, such as; controlling the spacer shape, adding shield electrodes for electric field relaxation, the introduction of an embedded electrode, etc. These techniques lead to a more complicated structure of the equipment and increase the manufacturing cost. Thus, it is necessary to propose a new concept on solid spacers with keeping their simple structure and configuration. In this paper, a functionally graded material (FGM) is proposed to minimize the electric field distribution around the spacer, specially, on triple junction point, which was one of the important factors dominating a long-term insulating property of solid delectric. Finite Element Method (FEM) has been used throughout this work, for its favorable accuracy, to calculate the electric field distribution inside the bus duct. The Electric field distribution around earthed particle contamination which adhered to uniform and FGM of disc-spacer is presented. The effect of distance between particle and spacer on the electric field values is investigated. The effect of hemi-spherical radius and length of particle on maximum electric field at triple junction point is also discussed. Electric field relaxation effect (EFGM/Euniform) by introduction of the U-shape FGM spacer is also presented. The electric field distribution along the surface of FGM of disc spacer with presence of multi-contaminating particles at various positions is presented.DOI:http://dx.doi.org/10.11591/ijece.v3i6.4354
Recommender System Based on Semantic Similarity Karamollah Bagheri Fard; Mehrbakhsh Nilashi; Mohsen Rahmani; Othman Ibrahim
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (194.223 KB)

Abstract

In electronic commerce, in order to help users to find their favourite products, we essentially need a system to classify the products based on the user's interests and needs to recommend them to the users. For the same reason the recommendation systems are designed to help finding information in large websites. They are basically developed to offer products to the customers in an automated fashion to help them to do conveniently their shopping. The developing of such systems is important since there are often a large number of factors involved in purchasing a product that would make it difficult for the customer to make the best decision. Finding relationship among users and relationships among products are important issue in these systems. One of relations is similarity. Measure similarity among users and products is used in the pure methods for calculating similarity degree. In this paper, semantic similarity is used to find a set of k nearest neighbours to the target user, or target item. Thus, because of incorporating semantic similarity in the proposed recommendation system, from the experimental results, the high accuracy was obtained on private building company dataset in comparison with state-of-the-art recommender systems.DOI:http://dx.doi.org/10.11591/ijece.v3i6.3931
Siting and Sizing of DG for Loss Reduction and Voltage Sag Mitigation in RDS Using ABC Algorithm Kuruva Siva Ramudu; M. Padma Lalitha; P. Suresh Babu
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (122.875 KB)

Abstract

In order to reduce the power loss and to improve the voltage profile in the distribution system, distributed generators (DGs) are connected to load bus. To reduce the total power loss in the system, the most important process is to identify the proper location for fixing and sizing of DGs. This paper  presents a new methodology using a new population based meta heuristic approach namely Artificial Bee Colony algorithm (ABC) for the placement of Distributed Generators (DG) in the radial distribution systems to reduce the real power loss,  to improve the voltage profile & voltage sag mitigation. While these power loss reduction, voltage profile improvement and voltage sag mitigation has significant role in lessoning imposed expenditures to utility companies. The power loss reduction is important factor for utility companies because it is directly proportional to the company benefits in a competitive electricity market, while reaching the better power quality standards is too important as it has vital effect on customer orientation. In this paper an ABC algorithm is developed to gain these goals all together. In order to evaluate sag mitigation capability of the proposed algorithm, voltage in voltage sensitive buses is investigated. An existing 20KV network (32-bus system) has been chosen as test network and results are compared with the proposed method in the radial distribution system.DOI:http://dx.doi.org/10.11591/ijece.v3i6.4399
A Flow-based Distributed Intrusion Detection System Using Mobile Agents Zahra Hakimi; Karim Faez; Morteza Barati
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.167 KB)

Abstract

In recent decade, computer networks have grown in popularity. So, network security measures become highly critical to protect networks against different kind of cyber attacks. One of the security measures is using intrusion detection system (IDS). An IDS aims to detect behaviors that compromise network integrity, availability and confidentiality, by continuously capturing and analyzing events occurring in the network. A challenging problem for current IDSs is that their performance decreases in today’s high speed and large scale networks. A centralize IDS cannot process such high volume of data and there is a high possibility that it discards some attacks. In this paper we propose a flow-based distributed IDS using mobile agents (MA), which performs both data capturing and data analyzing in a distributed fashion. Our distributed IDS provides a framework for deployment of a scalable and high performance IDS, which by using a grouping mechanism and help of mobile agents, effective collaboration can be established between all network members. We simulated our method in NS2. Then we compared our proposed system with a general network-based IDS and a distributed IDS. Experimental results showed its superiority using several metrics of network load, detection rate and flow loss rate.DOI:http://dx.doi.org/10.11591/ijece.v3i6.3936
Facial Image Verification and Quality Assessment System -FaceIVQA Omidiora E. O.; Olabiyisi S. O.; Ojo J. A.; Abayomi-Alli Adebayo; Abayomi-Alli O.; Erameh K. B.
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.358 KB)

Abstract

Although several techniques have been proposed for predicting biometric system performance using quality values, many of the research works were based on no-reference assessment technique using a single quality attribute measured directly from the data. These techniques have proved to be inappropriate for facial verification scenarios and inefficient because no single quality attribute can sufficient measure the quality of a facial image. In this research work, a facial image verification and quality assessment framework (FaceIVQA) was developed. Different algorithms and methods were implemented in FaceIVQA to extract the faceness, pose, illumination, contrast and similarity quality attributes using an objective full-reference image quality assessment approach. Structured image verification experiments were conducted on the surveillance camera (SCface) database to collect individual quality scores and algorithm matching scores from FaceIVQA using three recognition algorithms namely principal component analysis (PCA), linear discriminant analysis (LDA) and a commercial recognition SDK. FaceIVQA produced accurate and consistent facial image assessment data. The Result shows that it accurately assigns quality scores to probe image samples. The resulting quality score can be assigned to images captured for enrolment or recognition and can be used as an input to quality-driven biometric fusion systems.DOI:http://dx.doi.org/10.11591/ijece.v3i6.5034
Architectural Approaches for Self-Healing Systems Based on Multi Agent Technologies Hamid Bagheri; Mohammad Ali Torkamani; Zhaleh Ghaffari
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 6: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (90.448 KB)

Abstract

Self-healing systems are able to adapt themselves at runtime time in response to changing environmental or operational circumstances, shifting user requirements, and unanticipated faults without human intervention. Conceptually, a self-managing system is composed of four key capabilities; Monitoring, performing Analysis, Planning and Executing the plan. The preferred way to enable repair in a self-healing system is to use externalized repair/adaptation architecture. Adaptability, dynamicity, awareness, observability, autonomy, robustness, distributability, mobility and traceability are requirements that an architecture style for self-healing system should satisfy. In this paper we discuss Multi agent based self-healing system has a characteristics that can satisfy mentioned requirement. We define associations between architecture style requirements for self-healing system and MAS characteristics. As a case study in a real project we have designed Automated Teller Machine (ATM) combination with biometric sensors based on multi-agent architecture.DOI:http://dx.doi.org/10.11591/ijece.v3i6.3952

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