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28,451 Article Results

Mathematical Modelling and Computer Simulation Assist in Designing Non-traditional Types of Precipitators and Separators

10.11591/ijece.v8i1.pp441-449
Milan Bernat , Jaroslav Džmura , Renáta Bernátová , Ľubomr Žáčok , Jan Pavlovkin
The article deals with the application of the method for mathematical modeling and simulation at solving some issues in the area of electrostatic technology. It focuses on the processes in electrostatic separation and precipitation. Computer simulation is highly required for equipment design and for their diagnostics in critical operating states using theoretical calculations and experimental data evaluation. The presented computer models may be applied both by project and design engineers using the most advanced computer-aided design of electrostatic technologies.
Volume: 8
Issue: 1
Page: 441-449
Publish at: 2018-02-01

Image Resolution Enhancement Using Transform

10.11591/ijeecs.v9.i2.pp354-356
Syed Nazeeburrehman , Mohameed Ali Hussain
In this project, interruption based image resolution enhancement technique using Discrete Wavelet Transform (DWT) with high-frequency sub bands obtained is proposed. Input images are decomposed by using DWT in this proposed enhancement technique. Inverse DWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.
Volume: 9
Issue: 2
Page: 354-356
Publish at: 2018-02-01

Energy Efficient for Web of Things Based on Reconfigurable Smart Quality Management Scheme

10.11591/ijeecs.v9.i2.pp279-281
Prasanna Moorthi N , V Mathivananr
Since the powerful and productive arrangement of water quality observing (WQM) are basic usage for the issue of contaminated water all inclusive, with expanding in the advancement of Wireless Sensor Network (WSN) innovation in the Internet of Things (IoT) condition, ongoing water quality checking is remotely checked by methods for continuous information obtaining, transmission and handling. This paper exhibits a reconfigurable brilliant sensor interface gadget for water quality checking framework in an IoT situation. The brilliant WQM framework comprises of Field Programmable Gate Array (FPGA) outline board, sensors, Zigbee based remote correspondence module and (PC). The FPGA board is the center part of the proposed framework and it is customized in fast incorporated circuit equipment depiction dialect (VHDL) and C programming dialect utilizing Quartus II programming and Qsys instrument. The proposed WQM framework gathers the five parameters of water information, for example, water pH, water level, turbidity, carbon dioxide (CO2) on the surface of water and water temperature in parallel and progressively premise with fast from numerous distinctive sensor hubs.
Volume: 9
Issue: 2
Page: 279-281
Publish at: 2018-02-01

An Influence of Measurement Scale of Predictor Variable on Logistic Regression Modeling and Learning Vector Quntization Modeling for Object Classification

10.11591/ijece.v8i1.pp333-343
Waego Hadi Nugroho , Samingun Handoyo , Yusnita Julyarni Akri
Much real world decision making is based on binary categories of information that agree or disagree, accept or reject, succeed or fail and so on. Information of this category is the output of a classification method that is the domain of statistical field studies (eg Logistic Regression method) and machine learning (eg Learning Vector Quantization (LVQ)). The input argument of a classification method has a very crucial role to the resulting output condition. This paper investigated the influence of various types of input data measurement (interval, ratio, and nominal) to the performance of logistic regression method and LVQ in classifying an object. Logistic regression modeling is done in several stages until a model that meets the suitability model test is obtained. Modeling on LVQ was tested on several codebook sizes and selected the most optimal LVQ model. The best model of each method compared to its performance on object classification based on Hit Ratio indicator. In logistic regression model obtained 2 models that meet the model suitability test is a model with predictive variables scaled interval and nominal, while in LVQ modeling obtained 3 pieces of the most optimal model with a different codebook. In the data with interval-scale predictor variable, the performance of both methods is the same. The performance of both models is just as bad when the data have the predictor variables of the nominal scale. In the data with predictor variable has ratio scale, the LVQ method able to produce moderate enough performance, while on logistic regression modeling is not obtained the model that meet model suitability test. Thus if the input dataset has interval or ratio-scale predictor variables than it is preferable to use the LVQ method for modeling the object classification.
Volume: 8
Issue: 1
Page: 333-343
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
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