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29,196 Article Results

A Study of Superconducting Transformer with Short-Circuit Current Limitation

10.11591/ijece.v8i1.pp505-512
V.Z. Manusov , D.A. Pavlyuchenko , J.S. Ahyoev
The paper presents physico-mathematical models for analyzing transient processes in electrical networks having transformers with a high temperature superconducting winding. One of the main purposes of the study is the investigation of the short circuit current limitation process with the use of a transformer with a high temperature superconducting winding, that allows the combination of two series-connected elements, transformer and reactor, in one device. The efficiency of this method for short circuit current limitation is provided by the fact that the critical value of superconducting winding temperature is exceeded under short circuit current flowing, then it passes into the normal state with a high impedance winding, thus limiting a short circuit current. It is important to know the moment when superconducting material passes into the normal state with the loss of superconductivity. For this purpose, the program for calculating the quantity of heat under short circuit current flowing before its interruption was developed. If a 40 MVA transformer with a high temperature superconducting winding is considered, short circuit should be cleared after 100 ms without transformer disconnection. It is proposed to use a hybrid winding in addition to the main winding for short circuit current limitation. Conducted investigations showed that the return of a winding into the superconducting state depends primarily on the ratio between a short circuit current and a rated load current. This represents the criterion for returning or not returning into the superconducting state for transformer windings.
Volume: 8
Issue: 1
Page: 505-512
Publish at: 2018-02-01

Efficiency of Flat File Database Approach in Data Storage and Data Extraction for Big Data

10.11591/ijeecs.v9.i2.pp460-473
Mohd Kamir Yusof , Mustafa Man
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 and JSON are chosen by many organization because of powerful approach during retrieval and storage processes. However, these approaches, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, three databases approaches namely Extensible Markup Language (XML), Java Object Notation (JSON) and Flat File database approach were investigated to evaluate their suitability for handling thousands records of publication data. The results showed flat file 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, JSON and Flat File database approach technologies are relatively new to date in comparison to the relational database. Indeed, Text File Format technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.
Volume: 9
Issue: 2
Page: 460-473
Publish at: 2018-02-01

A Self-Tuned Simulated Annealing Algorithm Using Hidden Markov Model

10.11591/ijece.v8i1.pp291-298
Mohamed Lalaoui , Abdellatif El Afia , Raddouane Chiheb
Simulated Annealing algorithm (SA) is a well-known probabilistic heuristic. It mimics the annealing process in metallurgy to approximate the global minimum of an optimization problem. The SA has many parameters which need to be tuned manually when applied to a specific problem. The tuning may be difficult and time-consuming. This paper aims to overcome this difficulty by using a self-tuning approach based on a machine learning algorithm called Hidden Markov Model (HMM). The main idea is allowing the SA to adapt his own cooling law at each iteration, according to the search history. An experiment was performed on many benchmark functions to show the efficiency of this approach compared to the classical one.
Volume: 8
Issue: 1
Page: 291-298
Publish at: 2018-02-01

A Single-Stage Quadrature LMVs

10.11591/ijece.v8i1.pp124-132
Nam-Jin Oh
This paper proposes three kinds of single stage RF front-end, called quadrature LMVs (QLMVs), by merging LNA, single-balanced mixer, and quadrature voltage-controlled oscillator (VCO) exploiting a series LC (SLC) network. The low intermediate frequency (IF) or baseband signal near dc can be directly sensed at the drain nodes of the VCO switching transistors by adding a simple resistor-capacitor (RC) low-pass filter (LPF). Using a 65 nm CMOS technology, the proposed QLMVs are designed. Oscillating at around 2.4 GHz band, the proposed QLMVs achieve the phase noise below ‒107 dB/Hz at 1 MHz offset frequency. The simulated voltage conversion gain is larger than 30 dB. The double-side band (DSB) noise figure (NF) of the proposed QLMVs is below 10 dB. The QLMVs consume less than 0.51 mW dc power from a 1-V supply.
Volume: 8
Issue: 1
Page: 124-132
Publish at: 2018-02-01

Smart City Readiness based on Smart City Council’s Readiness Framework

10.11591/ijece.v8i1.pp271-279
Kusuma Adi Achmad , Lukito Edi Nugroho , Achmad Djunaedi , Widyawan Widyawan
The level of urbanization which may impact on urban problems could be resolved through city development enabled and supported by the advanced ICT to build the city smart. To develop the city smart, the readiness of smart cities enablers should be assessed. The study was conducted based on pilot study through a survey on the smart city readiness. The analysis of smart city readiness in Yogyakarta showed that the evaluation of smart city projects implemented partially; only operational and asset optimization, and access to comprehensive device management implemented over 50%. Smart city readiness not only be measured by technological aspect but also need to be measured as non-technological aspects. Thus, measurement of readiness smart city can be more comprehensive.
Volume: 8
Issue: 1
Page: 271-279
Publish at: 2018-02-01

A Framework for Optimizing the Process of Energy Harvesting from Ambient RF Sources

10.11591/ijece.v8i1.pp450-457
Ruchi Sharma , S. Balaji
Energy harvesting has been an active research topic in the past half a decade with respect to wireless networks. We reviewed some of the recent techniques towards improving energy harvesting performance to find that there is a large scope of improvement in terms of optimization and addressing problems pertaining to low-powered communicating mobile nodes. Therefore, we present a framework for identifying available RF sources of energy and constructing a robust link between the energy source and the mobile device. We apply linear optimization approach to enhance the performance of energy harvesting. Probabilility theory is used for identification of event loss in the presence of different number of nodes as well as node distances. The objective of the proposed system is to offer better availability of RF signals as well as better probability of energy harvesting for mobile devices. The proposed technique is also found to be computationally cost effective.
Volume: 8
Issue: 1
Page: 450-457
Publish at: 2018-02-01

Framework and Implementation of Marine Dumping Area’s Monitoring System Based on GPRS

10.11591/ijeecs.v9.i2.pp322-326
J Brindha , V Vijayakumar
An installed based astute ready framework is contrived for the best possible checking and support of the waste. This structure turns away the unpredictable cleaning of the dustbins by sending alarms to the concerned individual at general interims. It additionally enhances the framework by also supporting the status of cleaning progressively and measure the execution of the group. Accordingly, this structure proves to be useful as a praiseworthy arrangement in natural support. Notwithstanding this, it additionally helps to lessen the requirement for high human intercession in junk support of the district and contamination observing framework.
Volume: 9
Issue: 2
Page: 322-326
Publish at: 2018-02-01

Optimizing Apple Lossless Audio Codec Algorithm using NVIDIA CUDA Architecture

10.11591/ijece.v8i1.pp70-75
Rafid Ahmed , Md. Sazzadul Islam , Jia Uddin
As majority of the compression algorithms are implementations for CPU architecture, the primary focus of our work was to exploit the opportunities of GPU parallelism in audio compression. This paper presents an implementation of Apple Lossless Audio Codec (ALAC) algorithm by using NVIDIA GPUs Compute Unified Device Architecture (CUDA) Framework. The core idea was to identify the areas where data parallelism could be applied and parallel programming model CUDA could be used to execute the identified parallel components on Single Instruction Multiple Thread (SIMT) model of CUDA. The dataset was retrieved from European Broadcasting Union, Sound Quality Assessment Material (SQAM). Faster execution of the algorithm led to execution time reduction when applied to audio coding for large audios. This paper also presents the reduction of power usage due to running the parallel components on GPU. Experimental results reveal that we achieve about 80-90% speedup through CUDA on the identified components over its CPU implementation while saving CPU power consumption.
Volume: 8
Issue: 1
Page: 70-75
Publish at: 2018-02-01

Designing Framework for Standardization Case Study: Lithium-Ion Battery Module in Electric Vehicle Application

10.11591/ijece.v8i1.pp220-226
Wahyudi Sutopo , Evizal Abdul Kadir
Standardization is one of the important things before to deploy a product. Regulation such as national standard has important roles in industry. The roles of standard such as ensuring safety for consumer and producer, increasing product competitiveness, and reducing trade berries. Indonesia is currently in the stage of developing industry of electric vehicle, so that standard which is related to electric vehicle, one of it is standard for the electric vehicle battery. Besides that, Indonesia does not have a relevant standard to regulate. This study is intended to make a framework for standardization of lithium-ion battery module product using A Framework for Analysis, Comparison, and Testing of Standard (FACTS) approach. There are three stages in FACTS approach, they are analysis, comparison, and testing. Based on the result of this research, the framework of lithium-ion battery module product standard consists of 8 parameters.
Volume: 8
Issue: 1
Page: 220-226
Publish at: 2018-02-01

A Carrierless Amplitude Phase (CAP) Modulation Format: Perspective and Prospect in Optical Transmission System

10.11591/ijece.v8i1.pp585-595
N. M. Ridzuan , M. F. L. Abdullah , M. B. Othman , M. B. Jaafar
The explosive demand of broadband services nowadays requires data communication systems to have intensive capacity which subsequently increases the need for higher data rate as well. Although implementation of multiple wavelengths channels can be used (e.g. 4 × 25.8 Gb/s for 100 Gb/s connection) for such desired system, it usually leads to cost increment issue which is caused by employment of multiple optical components. Therefore, implementation of advanced modulation format using a single wavelength channel has become a preference to increase spectral efficiency by increasing the data rate for a given transmission system bandwidth. Conventional advanced modulation format however, involves a degree of complexity and costly transmission system. Hence, carrierless amplitude phase (CAP) modulation format has emerged as a promising advanced modulation format candidate due to spectral efficiency improvement ability with reduction of optical transceiver complexity and cost. The intriguing properties of CAP modulation format are reviewed as an attractive prospect in optical transmission system applications.
Volume: 8
Issue: 1
Page: 585-595
Publish at: 2018-02-01

Performances Concatenated LDPC based STBC-OFDM System and MRC Receivers

10.11591/ijece.v8i1.pp622-630
Nejwa El Maammar , Seddik Bri , Jaouad Foshi
This paper presents the bit error rate performance of the low density parity check (LDPC) with the concatenation of convolutional channel coding based orthogonal frequency-division-multiplexing (OFDM) using space time block coded (STBC). The OFDM wireless communication system incorporates 3/4-rated convolutional encoder under various digital modulations (BPSK, QPSK and QAM) over an additative white gaussian noise (AWGN) and fading (Raleigh and Rician) channels. At the receiving section of the simulated system, Maximum Ratio combining (MRC) channel equalization technique has been implemented to extract transmitted symbols without enhancing noise power.
Volume: 8
Issue: 1
Page: 622-630
Publish at: 2018-02-01

A Coalition-Formation Game Model for Energy-Efficient Routing in Mobile Ad-hoc Network

10.11591/ijece.v8i1.pp26-33
Abdelkabir Sahnoun , Ahmed Habbani , Jamal El Abbadi
One of the most routing problems in Mobile Ad-hoc Network is the node’s selfishness. Nodes are generally selfish and try to maximize their own benefit; hence these nodes refuse to forward packet on behalf of others to preserve their limited energy resources. This selfishness may lead to a low efficiency of routing. Therefore, it is important to study mechanisms which can be used encourage cooperation among nodes, to maintain the network efficiency. In this paper, we propose a cooperative game theoretic model to support more energy-aware and available bandwidth routing in MANET. We introduce a novel framework from coalitional-formation game theory, called hedonic coalition-formation game. We integrate this model to OLSR protocol that is an optimization over the classical link state protocol for the MANETs. Within each coalition, a coalition coordinator acts as a special MPR node to improve the energy efficient and the packet success rate of the transmission. Simulation results show how the proposed algorithm improve the performance in terms of the percentage of selected MPR nodes in the network, the percentage of alive nodes by time, and the Packet Delivery Ratio. Which prove that our proposed model leads, to better results compared to the classical OLSR.
Volume: 8
Issue: 1
Page: 26-33
Publish at: 2018-02-01

Design, Realization and Measurements of Compact Dual-band CPW-fed Patch Antenna for 2.45/5.80 GHz RFID Applications

10.11591/ijece.v8i1.pp172-178
Mohamed Tarbouch , Abdelkebir El Amri , Hanae Terchoune
In this paper, a Coplanar Wave Guide (CPW)-Fed microstrip octagonal patch antenna for RFID Applications is proposed. The studied structure is suitable for 2.45/5.80 GHz applications. The octagonal shape is obtained by making triangular cuts in the four angles of the rectangular microstrip patch antenna; in addition the using of CPW-Fed allows obtaining UWB characteristics in the higher band. The miniaturization in the antenna size for lower band is achieved by introducing an inverted E slot in the radiating element. The proposed antenna is designed on a single and a small substrate board of dimensions 29.5×29.5×1.6 mm3. Moreover the miniaturized antenna has a good impedance matching and an enhanced gain. The simulation analysis was performed using the CADFEKO software, a Method of Moment (MoM) based solver, and a prototype of this antenna was fabricated, good agreement with the simulation providing validation of the design procedure. The measurements are done with ANRITSU MS2026C Vectorial Network Analyzer.
Volume: 8
Issue: 1
Page: 172-178
Publish at: 2018-02-01

Symbolic-Connectionist Representational Model for Optimizing Decision Making Behavior in Intelligent Systems

10.11591/ijece.v8i1.pp326-332
R. John Martin , Sujatha Sujatha
Modeling higher order cognitive processes like human decision making come in three representational approaches namely symbolic, connectionist and symbolic-connectionist. Many connectionist neural network models are evolved over the decades for optimizing decision making behaviors and their agents are also in place. There had been attempts to implement symbolic structures within connectionist architectures with distributed representations. Our work was aimed at proposing an enhanced connectionist approach of optimizing the decisions within the framework of a symbolic cognitive model. The action selection module of this framework is forefront in evolving intelligent agents through a variety of soft computing models. As a continous effort, a Connectionist Cognitive Model (CCN) had been evolved by bringing a traditional symbolic cognitive process model proposed by LIDA as an inspiration to a feed forward neural network model for optimizing decion making behaviours in intelligent agents. Significanct progress was observed while comparing its performance with other varients.
Volume: 8
Issue: 1
Page: 326-332
Publish at: 2018-02-01

Comparative Analysis of Linear Controllers used for Grid Connected PV System

10.11591/ijece.v8i1.pp513-520
Ritesh Dash , Sarat Chandra Swain , Sanhita Mishra
Requirement for electrical energy is increasing in a ramp function manner. To meet the steady increasing in energy demand it is required to find some alternate source of energy. Except the conventional source of energy one type of renewable energy i.e PV may be regarded as a clean source of energy to meet the energy demand. PV modules generating DC power cannot be directly connected to the electrical infrastructure as most of the grid infrastructure uses either 230volt or 120 volt. Therefore power electronic device most be connected (inverter) between PV and grid. In order to make a competitive market between the renewable generated power and conventional way of generating the power it is required to design a cost effective inverter, qualitative output which is pure sinusoidal and harmonics free. In this paper a comparative analysis among the various linear controllers are presented. Proposed Optimised PID Controller is Presented through MATLAB Simulink based environment.
Volume: 8
Issue: 1
Page: 513-520
Publish at: 2018-02-01
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