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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 65 Documents
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Search results for , issue "Vol 15, No 2: August 2019" : 65 Documents clear
IoT recycle management system to support green city initiatives Ruwaida Ramly; Aznida Abu Bakar Sajak; Muhaira Rashid
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp1037-1045

Abstract

In July 2009, Government of Malaysia had launched Green Technology Policy as new initiatives from Malaysia to handle greenhouse effect issue and energy usage through application and green technologies development to reduce carbon footprint. This project, Internet of Things (IoT) Recycle Management System is an idea to help the government in gearing the nation towards this aim with a developed system or technology that support green environment. For this paper, the intended cities are Putrajaya and Cyberjaya areas since both of these cities are chosen as a pioneer for the Green City Initiatives by the Government. This Arduino based Internet of Things (IoT) project is an upcoming urban technology that transforms everyday current recycling system into an ecosystem that would enrich our lives and make it exciting to recycle things anywhere. Hence, encourages Malaysian to recycle their things regularly and make it as a normal routine. This project consists of the development of recycle waste bin that have sensor-based and a database with webpage system for client interface which be connected via Internet network. This project has a huge prospect to be implemented in the future, should there be a collaboration with Government entities and Non- Government entities as this effort needs huge support from all Malaysians in order to realize first class mentality transformation.
An ingenious invasive weed optimization (IWO) aided maximum power tracking for partially shaded photovoltaic array Sridhar R; Boopathi C.S; Deepanjali Das; Sakshi Agrawal; Hardik Choubisa
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp543-553

Abstract

The inborn non-direct power voltage trademark bends concerning barometrical temperature and light makes the photovoltaic (PV) source a discontinuous one. Maximum power point (MPPT) following is a procedure through which most extreme accessible power is yielded from the PV for the given purpose of time. Prior, the customary MPPT methods, for example, perturb and observe, incremental conductance, hill climbing and so forth strategies were utilized and these methods stayed inadequate when the PV source is partially shaded (PS), since amid (PS) the power voltage (P-V) bends show different power crests. There wins each possibility that the ordinary calculations will stall out to the local maximum point and the global maximum point won't be accomplished and in this way control misfortune is brought about. The metaheuristic calculations give better arrangements however confront the downside of high weight on processor and enormous number of information prerequisites. In this way, in this paper, a novel calculation in light of invasive weed optimisation (IWO) technique is utilized to locate the Global maximum point for MPPT under in part shaded condition and it is contrasted and its nearby partner differential evolution(DE) MPPT algorithm and furthermore with the very much settled in perturb and observe (P&O) calculation. The proposed calculation is actualized in MATLAB condition and tried on a 3-board PV cluster arrangement of 150 W. The flexibility of the calculation is tried through various experiments and the outcomes demonstrate the effectiveness and exactness of the proposed calculation in finding the global maximum point.
Factors that affects the dielectric properties of natural fibre reinforced hybrid biocomposite Nishanthi Sunthrasakaran; Nor Akmal Mohd Jamail; Rahisham Abd. Rahman; Md Nor Ramdon Bin Baharom; Qamarul Ezani Kamarudin; Mohamad Farid Sies; W. Muhammad W. N. Azrina
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp714-722

Abstract

Almost all research on natural fibre reinforced composite has focused on the mechanical properties of the composite. Drawing on the important factors that effect the end product of composite, this paper reviews electrical properties of hybrid biocomposite when fibre content and surface treatment is varied. The compilation of dielectric constant, dissipation factor, loss factor and moisture absorption reported by researchers has been presented in this paper. The intrinsic characteristic of natural fibre which is hydrophilic is the main drawback that affects the electrical properties of the composite. Alkaline treatment on natural fibre has proven to overcome the hydrophilic characteristic and improves the adhesion between matrix and fibre. Besides that, the percentage of fibre content plays an important role in producing a good natural fibre reinforced hybrid composite. The moisture uptake, dielectric constant, dissipation factor and loss factor of the composite decreases with decreased fibre content.
The statistical analysis of random-valued impulse noise detection techniques based on the local image characteristic: ROAD, ROLD and RORD Vorapoj Patanavijit; Kornkamol Thakulsukanant
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp794-803

Abstract

Advances in local image statistical analysis have made possible the random-valued impulse noise detection but the current noise detections based on ROAD (Rank-Ordered Absolute Differences), ROLD (Rank-Ordered Logarithmic Differences) and RORD (Rank-Ordered Relative Differences), which are the most three effective and practical detections using the local image statistical characteristic, operates effectively on different noise density and different image statistical characteristic. To address these issues, this paper proposes the comparative analysis on the noise detections based on ROAD, ROLD and RORD. Therefore, the first contribution is the comparative statistical distribution of these three noise detections. By comprehensive experiment at each noise density, the optimized detected threshold is later determined from four benchmark data: Lena, Girl, Pepper and Airplane. Moreover, the maximum detection accuracy for each case is comparatively demonstrated by using the noise detections based on ROAD, ROLD and RORD with the optimized detected threshold.
Characterizations of electrode geometrical shape for dielectrophoresis N. Burham; A. A. M. Shahar; A. A. Aziz; T. N. T. Yaakub; N. Khairuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp671-677

Abstract

This paper presents a characterization of geometrical shape on dielectrophoresis by determining and analysing the geometrical shape of electrodes. The structure or geometrical shape of dielectrophoresis electrode is design using COMSOL software to determine the maximum trapping efficiency of particles. The trapping efficiency of particles can be evaluated by analysing the best electrical gradient and investigated the behaviour of the particles if the existence of a non-uniform electric field.  There are three geometrical shapes have been designed which is, peel chain shape, castle wall shape and comb shape. Each of the geometrical shapes have different magnetic field produce, hence each of the design have specific application. Furthermore, these three designed are analysed by varying the material of the electrode for the best trapping efficiency. From the various and previous study, for maximum trapping efficiency the shape used is peel chain shape which is suitable for biological and non-biological particles separation. But for the castle wall and comb shape is the most suitable for biological particles such as red blood cell and bacteria trapping. As for the result obtain, it is proven that peel chain shape could achieve maximum electrical gradient to trap biological or non-biological particles in the future.
A novel three tier internet of things health monitoring system Deepika N,; M. Anand; F. Jerald
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp631-637

Abstract

Internet of things is a technology where day to day devices, processing, and communication become smarter, intelligent and informative respectively. Health monitoring system is one the most important applications enabled by IOT. IOT health monitoring system comprises of sensors, network and a remote server (cloud). It provides multi-dimensional health monitoring and also suggests treatments. In this paper we have proposed a novel three tier health monitoring system , which stores and process the huge amount of sensor data outside the device using a  technology called  cloud computing. When the observed clinical sensor value exceeds the threshold clinical value, the system sends alert message to the doctor and caretakers. The history of data and observed data is stored in the cloud for a longer time and it can be viewed by logging into the website.
Design of P-shaped microstrip patch antenna for wireless communication systems Raad H. Thaher; Noor Baqir Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp861-869

Abstract

A P-shaped microstrip patch antenna is proposed and studied to obtain operating bandwidth of (5.883-9.9) GHz. Then the antenna is extended by etching slots in the ground plane to be (5.73 – 10.234) GHz and gain varies from 2.809 dBi to 4.947 dBi. The antenna is installed on FR-4 substrate having relative dielectric constant of  = 4.3 and loss tangent of 0.02. The antenna size is (30×30×1.6)  simulation results were obtained using CST software 2016. The proposed was fabricated and tested by vector network analyzer VNA and noted reasonable agreement between simulated and measured result.
The dynamics of traffic congestion: a specific look into malaysian scenario and the plausible solutions to eradicate it using machine learning M. Ali; T. K. Sheng; K. M. Yusof; M. R. Suhaili; N. E. Ghazali; S. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp1086-1094

Abstract

Transportation has been considered as the backbone of the economy for the past many years. Unfortunately, since few years due to the uncontrolled urbanization and inadequate planning, countries are facing problem of congestion. The congestion is hindering the economic growth and also causing environmental issues. This has caused serious concerns among the major economies of the world, especially in Asia-Pacific region. Many countries are playing an active role in eradicating this problem and some have been quite successful so far. Malaysia, being a major ASEAN economy is also tackling with this huge problem. The authorities are committed to solve the issue. In this regard, solving the issue leveraging the use of big data analytics has become crucial. The authorities can form a complete robust framework based on big data analytics and decision making process to solve the issue effectively. The work focuses and observes the traffic data samples and analyzes the accuracy of machine learning algorithms, which helps in decision making. Yet, here is a lot to be done if the government needs to solve the problem effectively. Supposedly, a comprehensive big data transport framework leveraging machine learning, is one way to solve the issue.
Anomaly detection on in-home activities data based on time interval Soon-Chang Poh; Yi-Fei Tan; Soon-Nyean Cheong; Chee-Pun Ooi; Wooi-Haw Tan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp778-785

Abstract

The world population of the elderly is expected to have a continuous growth and the number of elderly living in solitude is also expected to increase in the coming years. As our health decline with age, early detection of possible deterioration in health becomes important. Behavioral changes in in-home activities can be used as an indicator of health decline. For example, changes in routine of in-home activities. Past research mainly focused on detecting anomalies in routine of each type of in-home activities individually. In this paper, an anomaly detection model to detect changes in routine of in-home activities collectively for a day is proposed. The experiment was evaluated with an existing public dataset. The experimental results demonstrated that the anomaly detection model performed well on unseen testing data with an accuracy of 94.44%.
Implementation of flow control over WirelessHART sensor network using WirelessHART adaptors Sabo Miya Hassan; Kishore Bingi; Rosdiazli Ibrahim; Lim Jin Chein; ThasarathaRao Supramaniam
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp910-919

Abstract

Despite the advantages of the industrial wireless standards such as WirelessHART, ISA100.11a and Wireless Networks for Industrial Automation-Process Automation (WIA-PA), their application still faces a lot of challenges especially when it comes to interfacing with the real plant. This is due to lack of adequate infrastructures such as interfacing circuitry to establish communication between the WirelessHART nodes and the actuators and sensors. Therefore, this paper presents the application of locally developed WirelessHART adaptors for flow process control. The adaptors serve as an interface between the WirelessHART network and the sensor and actuator of the plant. Experimental results of the controllers compared showed that wireless control is possible through the use of the adaptors.

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