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29,167 Article Results

Design of Pervasive Discovery, Service and Control for Smart Home Appliances: An Integration of Raspberry Pi, UPnP Protocols and Xbee

10.11591/.v7i2.pp1012-1022
Sabriansyah Rizqika Akbar , Maystya Tri Handono , Achmad Basuki
Pervasive technology is an important feature in smart home appliances control. With pervasive technology, the user is able to discover and control every device and each service without initialization configuration and setup. Since single-board computer often used in smart home appliances, combining pervasive technology and microcomputer/single-board computer will be important to be applied and make a possibility to create a smart home system based on the requirement of it users that will be beneficial for the smart home users and the developers. This paper proposed a design of pervasive discovery, service, and control system for smart home appliances by integrating Raspberry Pi, UPnP protocols, and Xbee that able to control an RGB LED services such as switching, dimming, change color and read a temperature sensor as an example in smart home appliances. This paper enriched the raspberry Pi GPIO function to be able to control via TCP/IP network with UPnP protocol and receive information from a temperature sensor node via Xbee communication. Service control time is measured with UPnP round trip time by subtracting HTTP response arrival with HTTP request time. GPIO processing time measured at the application level by counting a timer that starts before GPIO process and ended after GPIO successfully executed.
Volume: 7
Issue: 2
Page: 1012-1022
Publish at: 2017-04-01

A New Instrumentation Amplifier Architecture Based on Differential Difference Amplifier for Biological Signal Processing

10.11591/.v7i2.pp759-766
Zainul Abidin , Koichi Tanno , Shota Mago , Hiroki Tamura
In this paper, a new Instrumentation Amplifier (IA) architecture for biological signal pro-cessing is proposed. First stage of the proposed IA architecture consists of fully balance differential difference amplifier and three resistors. Its second stage was designed by using differential difference amplifier and two resistors. The second stage has smaller number of resistors than that of conventional one. The IA architectures are simulated and compared by using 1P 2M 0:6-m CMOS process. From HSPICE simulation result, lower common-mode voltage can be achieved by the proposed IA architecture. Average common-mode gain (Ac) of the proposed IA architecture is 31:26 dB lower than that of conventional one under 3% resistor mismatches condition. Therefore, the Ac of the proposed IA architecture is more insensitive to resistor mismatches and suitable for biological signal processing.
Volume: 7
Issue: 2
Page: 759-766
Publish at: 2017-04-01

Fouling Prediction using Neural Network Model for Membrane Bioreactor System

10.11591/ijeecs.v6.i1.pp200-206
Nurazizah Mahmod , Norhaliza Abdul Wahab
Membrane bioreactor (MBR) technology is a new method for water and wastewater treatment due to its ability to produce better and high-quality effluent that meets water quality regulations. MBR also is an advanced way to displace the conventional activated sludge (CAS) process. Even this membrane gives better performances compared to CAS, it does have few drawbacks such as high maintenance cost and fouling problem. In order to overcome this problem, an optimal MBR plant operation need to be developed. This can be achieved through an accurate model that can predict the fouling behaviour which could optimise the membrane operation. This paper presents the application of artificial neural network technique to predict the filtration of membrane bioreactor system. The Radial Basis Function Neural Network (RBFNN) is applied to model the developed submerged MBR filtration system. RBFNN model is expected to give good prediction model of filtration system for estimating the fouling that formed during filtration process.
Volume: 6
Issue: 1
Page: 200-206
Publish at: 2017-04-01

Size Reduction and Gain Enhancement of a Microstrip Antenna using Partially Defected Ground Structure and Circular/Cross Slots

10.11591/.v7i2.pp894-898
Nada N. Tawfeeq
Microwave engineers have been known to designedly created defects in the shape of carved out patterns on the ground plane of microstrip circuits and transmission lines for a long time, although their implementations to the antennas are comparatively new. The term Defected Ground Structure (DGS), precisely means a single or finite number of defects. At the beginning, DGS was employed underneath printed feed lines to suppress higher harmonics. Then DGS was directly integrated with antennas to improve the radiation characteristics, gain and to suppress mutual coupling between adjacent elements. Since then, the DGS techniques have been explored extensively and have led to many possible applications in the communication industry. The objective of this paper is to design and investigate microstrip patch antenna that operates at 2.4 GHz for Wireless Local Area Network WLAN IEEE 802.11b/g/n, ,Zigbee, Wireless HART, Bluetooth and several proprietary technologies that operate in the 2.4 GHz band. The design of the proposed antenna involves using partially Defected Ground Structure and circular/cross slots and compare it to the traditional microstrip patch antenna.  The results show improvement in both the gain of 3.45 dB and the S11 response of -22.3 dB along with reduction in the overall dimensions of the antenna. As a conclusion, the performance of the antenna has been improved through the incorporation with the DGS and slots structures regarding the S11 response and the gain. The proposed antenna become more compact. Finally, the radiation pattern of proposed antenna has remained directional in spite of adding slots on the ground plane.
Volume: 7
Issue: 2
Page: 894-898
Publish at: 2017-04-01

p-Laplace Variational Image Inpainting Model Using Riesz Fractional Differential Filter

10.11591/.v7i2.pp850-857
Sridevi Gamini , S Srinivas Kumar
In this paper, p-Laplace variational image inpainting model with symmetric Riesz fractional differential filter is proposed. Variational inpainting models are very useful to restore many smaller damaged regions of an image. Integer order variational image inpainting models (especially second and fourth order) work well to complete the unknown regions. However, in the process of inpainting with these models, any of the unindented visual effects such as staircasing, speckle noise, edge blurring, or loss in contrast are introduced. Recently, fractional derivative operators were applied by researchers to restore the damaged regions of the image. Experimentation with these operators for variational image inpainting led to the conclusion that second order symmetric Riesz fractional differential operator not only completes the damaged regions effectively, but also reducing unintended effects. In this article, The filling process of damaged regions is based on the fractional central curvature term. The proposed model is compared with integer order variational models and also GrunwaldLetnikov fractional derivative based variational inpainting in terms of peak signal to noise ratio, structural similarity and mutual information.
Volume: 7
Issue: 2
Page: 850-857
Publish at: 2017-04-01

Credal Fusion of Classifications for Noisy and Uncertain Data

10.11591/.v7i2.pp1071-1087
Fatma Karem , Mounir Dhibi , Arnaud Martin , Med Salim Bouhlel
This paper reports on an investigation in classification technique employed to classify noised and uncertain data. However, classification is not an easy task. It is a significant challenge to discover knowledge from uncertain data. In fact, we can find many problems. More time we don't have a good or a big learning database for supervised classification. Also, when training data contains noise or missing values, classification accuracy will be affected dramatically. So to extract groups from  data is not easy to do. They are overlapped and not very separated from each other. Another problem which can be cited here is the uncertainty due to measuring devices. Consequentially classification model is not so robust and strong to classify new objects. In this work, we present a novel classification algorithm to cover these problems. We materialize our main idea by using belief function theory to do combination between classification and clustering. This theory treats very well imprecision and uncertainty linked to classification. Experimental results show that our approach has ability to significantly improve the quality of classification of generic database.
Volume: 7
Issue: 2
Page: 1071-1087
Publish at: 2017-04-01

Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with Two base Stations Model

10.11591/.v7i2.pp933-941
Younes El Assari , Mounir Arioua , Imad Ez-zazi , Ahmed El Oualkadi
Conservation of the energy is one of the main design issues in wireless sensor networks. The limited battery power of each sensor node is a challenging task in deploying this type of network. The challenge is crucial in reliable wireless network when implementing efficient error correcting scheme with energy consuming routing protocol. In this work, we investigated the energy performance of LDPC code in multi-hop wireless sensor network. We proposed a model of two base stations to prolong the lifetime and build a reliable and energy-efficient network. Through performed MATLAB simulations, we examine the energy effectiveness of multiple base stations model on reliable wireless sensor network performance in different network dimensions.
Volume: 7
Issue: 2
Page: 933-941
Publish at: 2017-04-01

Small Scale Wind Generation System: Part II – A Novel Quasi-Z-Source Inverter and FRG-QZSI-Micro Grid Interface

10.11591/ijape.v6.i1.pp13-30
M. Ramkumar , K. N. Srinivas
This paper proposes modelling, analysis and control of a small scale wind energy conversion system employing a direct driven Flux Reversal Generator (FRG) connected to the micro grid through a quasi-Z-source inverter (QZSI). This entire research is made up of two major parts viz., FRG and QZSI. In the part I report of this research work, the role of FRG has been thoroughly modelled and verified. In this part II, the modelling and analysis of QZSI for this purpose is presented. In addition, the modified space vector PWM (SVPWM) technique is proposed in this paper to satisfy the shoot-through characteristic of QZSI, which is a novel. The interface of FRG and QZSI to inject power in to micro grid has been finally presented. The simulation results are validated with the analytical results. Section I discusses the open loop control of QZSI. The mathematical modelling of QZSI for this purpose is given and analytically validated. This flowed by section II in which the proposed SVPWM is presented. The procedure to obtain triggering pulses using this proposed modulation technique is discussed. Section III presents closed loop control strategies for QZSI. Section IV presents the micro gridinte face and power injection.
Volume: 6
Issue: 1
Page: 13-30
Publish at: 2017-04-01

Optimizing Tri-Core Permanent-Magnet-Linear-Generator Direct-Drive Wave-Energy-Conversion System Design for Sea Wave Characteristics in South Coast Yogyakarta

10.11591/.v7i2.pp610-618
Fransisco Danang Wijaya , Sarjiya Sarjiya , Muhammad Rifa'i Putra Sugita
According to statistical data, the south coast Yogyakarta has significant ocean wave height which can be used to generate electricity by using wave-energy-converter system. One of the simplest way to convert wave energy to electricity is using direct-drive wave-energy-conversion (WEC) system with permanent-magnet-linear-generator (PMLG). This method is simple because it doesn’t need to convert linear motion to rotational motion. However, PMLG has large electric power losses, has great weight in both of the stator and rotor, and expensive to make. In this paper, a tri-core PMLG was designed. The electric power losses in the winding, translator weight, and manufacturing cost were ideally minimized using multiobjective optimization combined with simulated annealing (SA) algorithm. Then, the design was verified using finite element analysis. The optimized design of this PMLG was simulated using sinusoidal ocean waves which usually occur in the south coast of Yogyakarta to analyze the performance of this linear generator. Simulation result has been shown that this generator can generate 911 watt peak output power at the rated condition and at the optimum load with 81.14% efficiency. This confirms that the optimized design of PMLG is suitable for direct-drive WEC with low power losses and manufacturing cost.
Volume: 7
Issue: 2
Page: 610-618
Publish at: 2017-04-01

A New Method of Insulation Wire for Power Transformers

10.11591/ijape.v6.i1.pp31-34
Khalaf Y. Al-Zyoud
This task go in order to developing a new way of enameled and polyester foil insulation of conductors used in building transformers thermal of class temperature about (150 ℃), the production technology for two types of enameled and polyester foil-insulation conduction are presented. As will as the physical, mechanical and electrical characteristics of conductors in a normal climate N2, in a tropical climate T2 and after 28 cycle at ( 200 ℃ ) are presented.
Volume: 6
Issue: 1
Page: 31-34
Publish at: 2017-04-01

Dielectric Strength Improvement of Natural Ester Insulation Oil via Mixed Antioxidants: Taguchi Approach

10.11591/ijece.v7i2.pp650-658
Sharin Ab Ghani , Zulkarnain Ahmad Noorden , Nor Asiah Muhamad , Hidayat Zainuddin , Muhammad Ilman Hakimi Chua Abdullah , Imran Sutan Chairul
Recently, natural ester insulation (NEI) oils are found to be the best candidates to replace mineral-based insulation oils for oil-immersed transformer applications. However, NEI oils are prone to oxidation due to their poor oxidative stability which can be improved by adding antioxidants into the oils. Latest studies have also shown that the use of selected antioxidants improves the AC breakdown voltage (BdV) of NEI oils. However, the experiments in previous studies were designed using the conventional one-factor-at-a-time (OFAT) method, which requires a large number of samples to be tested in order to determine the optimum response. Thus, a Taguchi-based designed experiment is introduced in this study in replacement of the OFAT method. It is found that this method is capable of determining the optimum concentrations of propyl gallate (PG) and citric acid (CA) which will maximize the AC BdV and improve the oxidative stability of the NEI oil. An AC breakdown voltage test is conducted in accordance with the ASTM D1816 standard using Megger OTS60PB portable oil tester, in which the electrode gap distance is kept fixed at 1 mm. The results indicate that the addition of PG and CA antioxidants increases the AC BdV of the rapeseed-based NEI oil. It is found that the optimum concentrations of PG and CA antioxidant is 0.05 and 0.25 wt.%, respectively. Lastly, the model developed in this study is analysed using analysis of variance (ANOVA). Validation test is also conducted on the optimized NEI oil to determine its dielectric strength and oxidative stability.
Volume: 7
Issue: 2
Page: 650-658
Publish at: 2017-04-01

Development of Compact P-Band Vector Reflectometer

10.11591/ijece.v7i2.pp791-798
Yi Lung Then , Kok Yeow You , Ming Hao Lee , Chia Yew Lee
A compact and low cost portable vector reflectometer is designed for a reliable measurement of reflection coefficient, S11. This reflectometer focuses on return loss measurement of frequency ranges from 450 MHz to 550 MHz. The detection of magnitude and phase is based on the utilization of surface mount Analog Devices AD8302 gain/phase detector. The data acquisition is controlled by using Arduino-Nano 3.0 microcontroller, with the use of two analog to digital converter (ADC) and a digital to analog converter (DAC). One port (Open, short and matched load) calibration technique is used to eliminate systematic errors prior to data acquisition. The evaluation of the reflectometer is done by comparing the result of the measurement to that of vector network analyzer.
Volume: 7
Issue: 2
Page: 791-798
Publish at: 2017-04-01

Security Measure to Detect and Avoid Flooding Attacks using Multi-Agent System in MANETS

10.11591/ijece.v7i2.pp919-925
Bandana Mahapatra , Srikanta Patnaik
Security is considered as one of the major challenge when it comes to infrastructure less and self dependent network without any centralized control. The vulnerability of Adhoc Network makes it susceptible to external attacks like flooding of hello messages or propagating fake routing messages etc. Such attacks generates a variety of problems like disturbing the network by flooding messages that results in waste of battery which is a vital resource to maintain the life span of the network. Most importantly cause agents to die when unable to reach destination due to fake routing messages causing a heavy loss on part of the nodes generating them to maintain the route knowledge.  The paper proposes a novel technique to identify the flooding attack and measure to overcome them using Multi-Agent system.
Volume: 7
Issue: 2
Page: 919-925
Publish at: 2017-04-01

OPC Protocol Application for Real-Time Carbon Monitoring System for Industrial Environment

10.11591/ijece.v7i2.pp1051-1059
Mohd Faiz Rohani , Noor Azurati Ahmad , Shamsul Sahibuddin , Salwani Mohd Daud
Global warming is referred to the rise in average surface temperatures on earth primarily due to the Greenhouse Gases (GHG) emissions such as Carbon Dioxide (CO2). Monitoring the emissions, either direct or indirect from the industrial processes, is important to control or to minimize their impact on the environment. Most of the existing environmental monitoring system is being designed and developed for normal environment monitoring. Hence, the aim of this project is to develop industrial CO2 emission monitoring system which implements industrial Open Platform Communications (OPC) protocol in an embedded microcontroller. The software algorithm based on OPC data format has been designed and programmed into the Arduino microcontroller to interface the sensor data to any existing industrial OPC compliant Supervisory Control and Data Acquisition (SCADA) system. The system has been successfully tested in a lab with the suitable environment for real-time CO2 emissions measurement. The real-time measurement data has been shown in an industrial SCADA application which indicates successful implementation of the OPC communications protocol.
Volume: 7
Issue: 2
Page: 1051-1059
Publish at: 2017-04-01

Comparison of the Themes of Malaysian Friday Sermons between the Year 2010 and 2015

10.11591/ijeecs.v6.i1.pp212-218
Muhammad ‘Aasim Asyafi’ie bin Ahmad , Mokhtar bin Harun , Puspa Inayat binti Khalid , Mohd Ibrahim Shapiai , Md. Najib bin Ibrahim , Siti Zaleha Abdul Hamid
One of the analyses used in the field of corpus linguistics is comparing the word occurrence from different text corpora. This technique can be used to identify how a certain discipline change over time through text analysis. In this study, the changes of the context of Malaysian Friday sermons are investigated. The text corpus was developed by taking the Friday sermons spoken in Kuala Lumpur mosques in the year 2015. A total of 52 sermons were used for the text corpus because there are a total of 52 Friday sermons in a year. The Malay text corpus was constructed by using PHP and MySQL, and only the top words spoken were inserted into the text corpus. This text corpus is then compared with a previously developed text corpus from 2010 Friday sermons. The new text corpus overlapped with the old text corpus by 82%. Analysis also shows the difference of semantic between 2010 and 2015 Friday sermons.
Volume: 6
Issue: 1
Page: 212-218
Publish at: 2017-04-01
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