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28,188 Article Results

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

Research on Resource Allocation based on Clustering in Femtocell Networks

10.11591/ijeecs.v7.i1.pp138-149
Ding Kai , Liu Zhanjun , Zhou Shiyan , Ran Weiyi , Li Wei
Aiming at the problem that existing femtocell base station searching the optimal clustering scheme based on the clustering resource allocation algorithm is complex. we propose that building an conflict graph and adjacency matrix before clustering to calculate the number of clusters needed for FBS group by using the adaptive clustering heuristic algorithm. We follow maximization the sum of the FBS distances in the cluster and group the femtocell base stations to narrow the search range to reduce the computational complexity. In order to achieve different business types service, based on the above clustering algorithm, this paper proposes a new method that using the weighted energy efficiency, which including the user interruption and the network spectral efficiency as a fitness function of the power control scheme to solve the problem. The simulation results show that the same rate requirement reduces the complexity, while the same complexity increases the user's average rate.
Volume: 7
Issue: 1
Page: 138-149
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

Status Review on Gas Insulated Switchgear Partial Discharge Diagnostic Technique for Preventive Maintenance

10.11591/ijeecs.v7.i1.pp9-17
Visa Musa Ibrahim , Zulkurnain Abdul-Malek , Nor Asiah Muhamad
Gas insulated switchgear (GIS) plays a vital role in high voltage transmission of electrical energy due to its advantages of high reliability and performance, compact in dimensions and outstanding compatibility with the environment. It uses sulphur hexafluoride gas as its insulant and coolant because of its high dielectric strength and excellent arc quenching ability. Gas insulated switchgear in operation suffers the challenge of its insulation decomposition and eventually failure due to the activities of partial discharge that arouses from defects. This failure is catastrophic and it will lead to entire power out stage that will affect all categories of human activities, so there is a need for Gas insulated switchgear condition monitoring and diagnoses in order to carry out preventive maintenance. This paper reviews diagnostic techniques and methods for Gas insulated switchgear insulation degradation caused by partial discharge for the purpose of carrying out preventive maintenance to avert its failure.
Volume: 7
Issue: 1
Page: 9-17
Publish at: 2017-07-01

Fuzzy Logic Application for Intelligent Control of An Asynchronous Machine

10.11591/ijeecs.v7.i1.pp61-70
Zineb Mekrini , Seddik Bri
The aim of this article is propose a method to improve the direct torque control and design a Fuzzy Logic based Controller which can take necessary control action to provide the desired torque and flux of an asynchronous machine. It’s widely used in the industrial application areas due to several features such as fast torque response and less dependence on the rotor parameters. The major problem that is usually associated with DTC control is the high torque ripple as it is not directly controlled. The high torque ripple causes vibrations to the motor which may lead to component lose, bearing failure or resonance. The fuzzy logic controller is applied to reduce electromagnetic torque ripple. In this proposed technique, the two hysteresis controllers are replaced by fuzzy logic controllers and a methodology for implementation of a rule based fuzzy logic controller are presented. The simulation by Matlab/Simulink was built which includes induction motor d-q model, inverter model, fuzzy logic switching table and the stator flux and torque estimator. The validity of the proposed method is confirmed by the simulative results of the whole drive system and results are compared with conventional DTC method. 
Volume: 7
Issue: 1
Page: 61-70
Publish at: 2017-07-01

Automatic Border Alert System for Fishermen using GPS and GSM Techniques

10.11591/ijeecs.v7.i1.pp84-89
Karthik R , Ranjith S , Shreyas S , Pradeep Kumar K
Countries with the International Marine time Boundary Line (IMBL) will always has security problems and continuous life threatens for those fishermen whose family’s main economical support is fishing. Even in the peninsular country like India has their boundary limit in the ocean, the people of these coastal regions has the main work of fishing, due to carelessness or without knowing their boundary limit of their country they crosses the borders. In such situation the lives of fishermen continued to be difficult. They may face bullets and attacks from opposite Navy, at the end of attack fishermen are being abducted and their boats are being captured. So our paper is designed to avoid such kind of accidents and to alert the fishermen about border area well before using latest technology of Global Positioning System (GPS) and Global System for Mobile communication (GSM). And also this paper shows how this technology can be used for detecting natural hazards and obtaining meteorological information of the ocean for the safe navigation of fishermen.
Volume: 7
Issue: 1
Page: 84-89
Publish at: 2017-07-01

Multiple DG Planning Considering Distribution Loss and Penetration Level using EMEFA-ANN Method

10.11591/ijeecs.v7.i1.pp1-8
S. R. A. Rahim , I. Musirin , M. M. Othman , M. H. Hussain
This paper presents the implementation of multiple distributed generation planning in distribution system using computational intelligence technique. A pre-developed computational intelligence optimization technique named as Embedded Meta EP-Firefly Algorithm (EMEFA) was utilized to determine distribution loss and penetration level for the purpose of distributed generation (DG) installation. In this study, the Artificial Neural Network (ANN) was used in order to solve the complexity of the multiple DG concept. EMEFA-ANN was developed to optimize the weight of the ANN to minimize the mean squared error. The proposed method was validated on IEEE 69 Bus distribution system with several load variations scenario. The case study was conducted based on the multiple unit of DG in distribution system by considering the DGs are modeled as type I which is capable of injecting real power. Results obtained from the study could be utilized by the utility and energy commission for loss reduction scheme in distribution system.
Volume: 7
Issue: 1
Page: 1-8
Publish at: 2017-07-01

QoS Performance of Integrated Hybrid Optical Network in Mobile Fronthual Networks

10.11591/ijeecs.v7.i1.pp189-204
Dawit Hadush Hailu
Cloud Radio Access Network (C-RAN) has emerged as a promising solution to meet the ever-growing capacity demand and reduce the cost of mobile network components. In such network, the mobile operator’s Remote Radio Head (RRH) and Base Band Unit (BBU) are often separated and the connection between them has very tight timing and latency requirements. To employ packet-based network for C-RAN fronthaul, the carried fronthaul traffic are needed to achieve the requirements of fronthaul streams. For this reason, the aim of this paper is focused on investigating and evaluating the feasibility of Integrated Hybrid Optical Network (IHON) networks for mobile fronthaul. TransPacket AS (www.transpacket.com) develops a fusion switching that efficiently serves both Guaranteed Service Transport (GST) traffic with absolute priority and packet switched Statistical Multiplexing (SM) best effort traffic. We verified how the leftover capacity of fusion node can be used to carry the low priority packets and how the GST traffic can have deterministic characteristics on a single wavelength by delaying it with Fixed Delay Line (FDL). For example, for L1GE SM =0.3 the added SM traffic increases the 10GE wavelength utilization up to 89% without any losses and with SM PLR=1E-03 up to 92% utilization. The simulated results and numerical analysis confirm that the PDV and PLR of GST traffic in Ethernet network meet the requirements of mobile fronthaul using CPRI. For Ethernet network, the number of nodes in the network limits the maximum separation distance between BBU and RRH (link length); for increasing the number of nodes, the link length decreases. Consequently, Radio over Ethernet (RoE) traffic should receive the priority and Quality of Service (QoS) HP can provide. On the other hand, Low Priority (LP) classes are not sensitive to QoS metrics and should be used for transporting time insensitive applications and services.
Volume: 7
Issue: 1
Page: 189-204
Publish at: 2017-07-01

Heat Response Model for Phase Layered Topology in A Photovoltaic Thermal System

10.11591/ijeecs.v7.i1.pp52-60
Mohammad Taghi Hajibeigy , Chockalingam Aravind Vaithilingam , Mushtak Al-atabi , PRP Hoole
The electrical and thermal energy generated by a Photo-voltaic (PV) module is based on the amount of the solar radiation directed on the PV module. In this study, a Photo-voltaic Thermal (PVT) system is constructed to maximize the electrical energy generation through the fast removal of heat through a new phase layered topology. The combinations of aluminum plate and heatsinks are used to transfer heat generated by sunlight radiation on PV modules to heat transfer thermal container. The aluminum plate is attached beneath the PV module and heatsinks welded beneath the alumni plate making it as a phase layered heat removal. The heat transfer on each layer of the photovoltaic thermal system is investigated with the phase changing topology and also investigated for its performance with a heat removal agent. In both cases, with and without water as coolant in the thermal container, the experimental outcome is analysed for performance analysis. It is found the PV temperature reduced by about 10 degrees which is cirtical for the PV performance reducing the wasted thermal energy and thereby increases the electrical energy conversion.
Volume: 7
Issue: 1
Page: 52-60
Publish at: 2017-07-01

A New Method of Voltage Flicker Detection for Hilbert Vibration Decomposition

10.11591/ijeecs.v7.i1.pp43-51
Tiejun Cao
Hilbert Vibration Decomposition (HVD) is introduced to the voltage flicker analysis. When voltage flicker accompanies with high order harmonics, the instantaneous frequency of its analytic signal in principle consists of two different parts, power frequency and a rapidly varying asymmetrical oscillating part. The important property of the instantaneous frequency offers a direct way to estimate the power frequency using a low-pass filter and remove the high order harmonics without pre-treatment procedures. Corresponding voltage flicker envelope is estimated using synchronous detection. The HVD method does not involves basic functions that the wavelet transform method needs. It can also adaptively estimate the frequency and amplitude of every modulation frequency component. Simulation results prove that the proposed method could accurately detect voltage flicker with high order harmonics. It has higher calculation efficiency and detection precision than wavelet transform method. Experimental results show that the new algorithm is feasible and efficient.
Volume: 7
Issue: 1
Page: 43-51
Publish at: 2017-07-01

Artificial Neural Network Based Fast Edge Detection Algorithm for MRI Medical Images

10.11591/ijeecs.v7.i1.pp123-130
Teddy Surya Gunawan , Iza Zayana Yaacob , Mira Kartiwi , Nanang Ismail , Nor Farahidah Za'bah , Hasmah Mansor
Currently, magnetic resonance imaging (MRI) has been utilized extensively to obtain high contrast medical image due to its safety which can be applied repetitively. Edges are represented as important contour features in the medical image since they are the boundaries where distinct intensity changes or discontinuities occur. Many traditional algorithms have been proposed to detect the edge, such as Canny, Sobel, Prewitt, Roberts, Zerocross, and Laplacian of Gaussian (LoG). Moreover, many researches have shown the potential of using Artificial Neural Network (ANN) for edge detection. Although many algorithms have been conducted on edge detection for medical images, however higher computational cost and subjective image quality could be further improved. Therefore, the objective of this paper is to develop a fast ANN based edge detection algorithm for MRI medical images. First, we developed features based on horizontal, vertical, and diagonal difference. Then, Canny edge detector will be used as the training output. Finally, optimized parameters will be obtained, including number of hidden layers and output threshold. Results showed that the proposed algorithm provided better image quality while it has faster processing time around three times time compared to other traditional algorithms, such as Sobel and Canny edge detector.
Volume: 7
Issue: 1
Page: 123-130
Publish at: 2017-07-01

Customized Hardware Crypto Engine for Wireless Sensor Networks

10.11591/ijeecs.v7.i1.pp263-275
Medhat Awadalla , Ahmed Al Maashri , Lavanya Pathuri , Afaq Ahmad
Nowadays, managing for optimal security to wireless sensor networks (WSNs) has emerged as an active research area. The challenging topics in this active research involve various issues such as energy consumption, routing algorithms, selection of sensors location according to a given premise, robustness, and efficiency. Despite the open problems in WSNs, already a high number of applications available shows the activeness of emerging research in this area. Through this paper, authors propose an alternative routing algorithmic approach that accelerate the existing algorithms in sense to develop a power-efficient crypto system to provide the desired level of security on a smaller footprint, while maintaining real-time performance and mapping them to customized hardware. To achieve this goal, the algorithms have been first analyzed and then profiled to recognize their computational structure that is to be mapped into hardware accelerators in platform of reconfigurable computing devices. An intensive set of experiments have been conducted and the obtained results show that the performance of the proposed architecture based on algorithms implementation outperforms the software implementation running on contemporary CPU in terms of the power consumption and throughput.
Volume: 7
Issue: 1
Page: 263-275
Publish at: 2017-07-01

Design and Simulation of a New ZVT Bi-directional DC-DC Converter for Electric Vehicles

10.11591/ijeecs.v7.i1.pp75-83
Rajesh Thumma , Veera Venkata Subrahmanya Kumar Bhajana , Pramo kumar Aylapogu
This paper presents a new zero voltage transistion (ZVT) bi-directional DC-DCconverter for energy storage system in DC traction. This bidirectional converter can transfers the power flow from low voltage side to high voltage side and viceversa. The conventional hard-switched non-isolated converter improved with the additional auxiliary cell to obtain zero voltage transition for the IGBTs. The main advantages of this topology are reduced the switching losses and improved the efficiency as well.The main aim of this converter is to achieve the operation of zero voltage transition during the commutation of main switches from off to on by utilizing auxiliary cell, which consist active and passive elements.The boost and buck modes of operations are achieved with the zero voltage transistion, which reduce the IGBTs current stresses and switching losses.This paper mainly describes the operation principles and the evaluation of the simulation results with the aid of Matlab simulations.The obtained results were proved the expected assumptions of the theoretical analysis.
Volume: 7
Issue: 1
Page: 75-83
Publish at: 2017-07-01

Distributed Optimal Relay Selection in Wireless Sensor Networks

10.11591/ijeecs.v7.i1.pp71-74
Karthik R , Nagaraju J , Mahendra Vucha
In wireless distributed sensor networks, one open problem is how to guarantee the reliable relay selection based on the quality of services diversity. To address this problem, we focus on the reliable adaptive relay selection approach and adaptive QoS supported algorithm, based on which we present a Markov chain model, in consideration of different packet states and error control algorithm assignment. The mathematical analyses and MATLAB simulation results show that the proposed relay selection approach could perform better in terms of saturation throughput, reliability, and energy efficiency, compared with the traditional approaches. More importantly, the quality of real-time multimedia streaming is improved significantly, in terms of decodable frame ratio and delay.
Volume: 7
Issue: 1
Page: 71-74
Publish at: 2017-07-01

An Empirical Performance Evaluation of Docker Container, Openstack Virtual Machine and Bare Metal Server

10.11591/ijeecs.v7.i1.pp205-213
Jyoti Shetty , Sahana Upadhaya , Rajarajeshwari H S , Shobha G , Jayant Chandra
Server virtualization is a fundamental technological innovation that is used extensively in IT enterprises. Server virtualization enables creation of multiple virtual machines on single underlying physical machine. It is realized either in form of hypervisors or containers. Hypervisor is an extra layer of abstraction between the hardware and virtual machines that emulates underlying hardware. In contrast, the more recent container-based virtualization technology runs on host kernel without additional layer of abstraction.Thus container technology is expected to provide near native performance compared to hypervisor based technology. We have conducted a series of experiments to measure and compare the performance of workloads over hypervisor based virtual machines, Docker containers and native bare metal machine. We use a standard benchmark workload suite that stress CPU, memory, disk IO and system. The results obtained show that Docker containers provide better or similar performance compared to traditional hypervisor based virtual machines in almost all the tests. However as expected the native system still provides the best performance as compared to either containers or hypervisors.
Volume: 7
Issue: 1
Page: 205-213
Publish at: 2017-07-01
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