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29,758 Article Results

Real-time water quality monitoring system: an IoT application

10.11591/ijeecs.v15.i1.pp178-182
Zulkhairi Mohd Yusof , Md Masum Billah , Kushsairy Kadir
There is huge number of disease which is caused through water drinking that being polluted was supplied to the consumer. This is something that cannot be underestimate because it can cause high cost of treatment or death. Its not only cause troubles to the consumer which is human, it is also included all aquatic life and surrounding ecosystem. There is way to overcome this problem that created before which is take the sample of water to the lab. The result of water being polluted or not will be released by the lab. But this system going to take lot of times because there are few process that should be followed. This system is not suitable anymore because it is not portable, easy and fastest. It should be upgraded to the IoT system because it can cut times, internet base and people will be more alert to the quality of water. Therefore, a real-time water quality monitoring system is proposed in this research to reduce number of fatality happened from water.
Volume: 15
Issue: 1
Page: 178-182
Publish at: 2019-07-01

Review on population-based metaheuristic search techniques for optimal power flow

10.11591/ijeecs.v15.i1.pp373-381
Muhammad Affiq Abd Rahman , Bazilah Ismail , Kanendra Naidu , Mohd Khairil Rahmat
Optimal power flow (OPF) is a non-linear solution which is significantly important in order to analyze the power system operation. The use of optimization algorithm is essential in order to solve OPF problems. The emergence of machine learning presents further techniques which capable to solve the non-linear problem. The performance and the key aspects which enhances the effectiveness of these optimization techniques are compared within several metaheuristic search techniques. This includes the operation of particle swarm optimization (PSO) algorithm, firefly algorithm (FA), artificial bee colony (ABC) algorithm, ant colony optimization (ACO) algorithm and differential evolution (DE) algorithm. This paper reviews on the key elements that need to be considered when selecting metaheuristic techniques to solve OPF problem in power system operation.
Volume: 15
Issue: 1
Page: 373-381
Publish at: 2019-07-01

A comparative simulation study of different decoding schemes in LDPC coded OFDM systems for NB-PLC channel

10.11591/ijeecs.v15.i1.pp306-313
Nejwa El maammar , Seddik Bri , Jaouad Foshi
In this paper, we study the performance of Low density Parity Check (LDPC) coded orthogonal frequency-division multiplexing (COFDM) systems  when they are applied on the short data block of a narrowband (NB) power line communications (PLC) channel. In the modelled system simulations have been performed using different code lengths. It is assumed that the channel has a multipath propagation with two different noise scenarios: AWGN background noise with and without the presence of impulsive noise. Performances of Various soft and hard decision LDPC decoder schemes such as belief propagation (BP), weighted bit flipping (WBF), improved weighted bit flipping (IWBF) and implementation-efficient reliability ratio based weighted bit flipping (IRRWBF) decoders were investigated. It has been shown for all simulations performed in PLC channel model showed that remarkable performance improvement can be achieved by using short-length LDPC codes. Especially, the improvements are striking when the BP decoding algorithms are employed on the receiver side.
Volume: 15
Issue: 1
Page: 306-313
Publish at: 2019-07-01

Robust authenticated encryption scheme with multiple keys for ad hoc networks

10.11591/ijeecs.v15.i1.pp421-426
Ajay Kakkar , Maninder Singh
Data security in a computing dynamic infrastructure without explicit user intervention is tough to achieve. A robust authenticated encryption scheme with multiple keys for ad hoc networks has been proposed. Real time attacks has been monitored and coped up using re-encryption algorithm. The effectiveness of the work has been validated by extensive simulations on various combination in terms of S-Boxes, key and data length. The proposed work is a collaboration of optimal selection of S-Boxes, key and data lengths with evaluation of heat dissipation. The work has been carried out to develop an optimized efficient key management technique to reduce the time available for hackers. To verify the effectiveness of proposed algorithm, the results have been compared with K. Xue et al. (2013) , Li et al. (2011) and S. K. Sood et al.’s protocol (2011)
Volume: 15
Issue: 1
Page: 421-426
Publish at: 2019-07-01

Power applications for fuel-cell using switching regulators

10.11591/ijeecs.v15.i1.pp71-79
Dega Rajaji Vanka , K. Chandra Sekhar
 Generally the switch mode power supply input voltage source is constant or shows insignificant little varieties.in any case, when fuel call used input source the last assumption is not valid. A fuel cell stack is give a details of low and not controlled DC output voltage, moreover, when the demanded current increases the output voltage becomes low in a nonlinear form; from now on, suitable controller is required to taken the previously mentioned issues. In this article, a normal current-mode controller is planned to using a joined model for an energy unit stack and a boost converter; besides, the resolving control method increasing the system stability and output voltage regulation.. The proposed energy system utilizes an energy component power (polymer electrolyte film fuel cell) and a boost converter passing on power of 900 W. the proposed controller execution for output voltage regulation by means of closed loop gain estimations and step load changes. What's more, a correlation amongst open-and closed- loop estimations is made, where the controller robustness is tried for vast load varieties and fuel cell stack output voltage changes are shows on simulation results.
Volume: 15
Issue: 1
Page: 71-79
Publish at: 2019-07-01

Magnetic particle imaging signal acquisition using second harmonic detection of magnetic nanoparticles

10.11591/ijeecs.v15.i1.pp221-229
Muhammad Mahadi Abdul Jamil , Abdulkadir Abubakar Sadiq , Muhammad Shukri Ahmad , Noordin Asimi Mohd Noor , Nur Adilah Abd Rahman , Nurmiza Othman
This paper presents an approach for acquiring a magnetic particle imaging (MPI) signal, by utilizing the second harmonic detection of the magnetic nanoparticles tracers. An MPI signal with high signal-to-noise ratio (SNR) is crucial for high spatial resolution images that reveals the distribution of the tracers in a target area. Samples of Resovist and Perimag nanoparticles tracers were prepared in liquid and immobilised form, which were placed at some distances under the receiver coil of the single-sided MPI scanner. The samples were exposed to the excitation magnetic field generated at 22.8 kHz and a static gradient field generated with a direct current of 2 A. The non-linear magnetization response of the tracers for each spatial position is recorded in the form of voltage signal by a gradiometer pickup coil, with the second harmonic signal being extracted by a resonance circuit. The results obtained revealed that a sufficient signal from the tracers is recorded at up to 25 mm under the pickup coil, with Perimag samples inducing higher signals as compared to Resovist. The dependence of the DC gradient field on the second harmonic signal shows that the peak signal amplitude for Resovist and Perimag particles as ±5 mT and ±6 mT respectively. Additionally, the second harmonic signal amplitude increases exponentially with an increase in the excitation magnetic field. Thus, the results obtained shows the potential of this approach in acquiring high SNR MPI signals at low excitation frequency, which could be vital in reconstructing the contour images of the tracers, particularly in sentinel lymph node biopsy (SLNB) for breast cancer diagnosis.
Volume: 15
Issue: 1
Page: 221-229
Publish at: 2019-07-01

Performance comparison of micromachined antennas optimized at 5 GHz for RF energy harvester

10.11591/ijeecs.v15.i1.pp258-265
Noor Hidayah Mohd Yunus , Jahariah Sampe , Jumril Yunas , Alipah Pawi , Mohd Izam Abd Jalil
This paper presents a comparative performance of the antennas fabricated using bulk micromachining and surface micromachining process. The dielectric permittivity of crystal silicon (Si) and glass are ɛr = 11.9 and ɛr = 4.7, respectively are considered in the substrates comparison studied. The research aims to discover the best antenna performance by alternative micromachining modes for integrating with the RF harvester printed circuit design. Here, the study on micromachining process method involves the simulation study of three different structures and materials, such as Si with air gap, Si surface and glass surface based antenna. These antennas have been modelled using CST-MWS software. The micromachined antennas have been optimized operating at 5 GHz band. The parameters such as S-parameter, -10 dB bandwidth, radiation pattern, gain, directivity and VSWR are evaluated. The outcomes validate good characteristic of glass based surface micromachined antenna over the Si based for both bulk micromachined and surface micromachined antenna. The results show that the Si surface micromachined antenna is not able to reach the requirement for RF antenna specification, however, it is improved by creating the air cavity. Furthermore, the use of glass substrate has increased the antenna gain by 5.34% and the -10 dB bandwidth increased by 72.86% compared to the Si with air cavity. The glass based antenna dimension is reduced by 9.09% and 44.93% compared to Si bulk micromachined and Si surface micromachined antenna, respectively. Thus, the characteristics of the glass surface micromachined antenna are relatively appropriate for highly efficient RF energy harvester application
Volume: 15
Issue: 1
Page: 258-265
Publish at: 2019-07-01

User behaviour pattern for online learning system: UiTM iLearn portal case

10.11591/ijeecs.v15.i1.pp382-390
Siti Fairuz Nurr Sadikan , Azizul Azhar Ramli , Mohd Farhan Md. Fudzee , Siti Sapura Jailani , Mohd Ali Mohd Isa , Prasanna Ramakrisnan , Roslani Embi
A Web server log files contain an entire record of the user’s browsing history such as referrer, date and time access, path, operating system (OS), browser and IP address. User navigation pattern discovery involves learning of user’s browsing behaviour to gain the pattern from web server log file. This paper emphasizes on identifying user navigation pattern from web server log file data of iLearn portal. The study implements the framework for user navigation including phases of acquisition of weblog, log query parser, preprocessor, navigational pattern modelling, clustering, and classification. This study is conducted in the context of the actual data logs of the iLearn portal of Universiti Teknologi MARA (UiTM). This study revealed the navigational patterns of online learners which relatively related to their intake or group along the semester of 14 weeks. Besides, access patterns for students along the semester are different and can be classified into three (3) quarter, namely Q1, Q2 and Q3 based on the total of week per semester. Future work will focus on the development of prototype to improve the security of online learning especially during the assessment progress such as online quiz, test and examination.
Volume: 15
Issue: 1
Page: 382-390
Publish at: 2019-07-01

Positioning of light shelves to enhance daylight illuminance in office rooms

10.11591/ijeecs.v15.i1.pp168-177
Badri Narayan Mohapatra , M. Ravi Kumar , Sushanta Kumar Mandal
This paper aims to improve daylighting by using light shelves. Horizontal light shelf is found to increase the illuminance in the interior of office rooms. By tilting external light shelf more illuminance can be achieved. For uniformity of illuminance tiltable light shelf is the best choice instead of horizontal light shelf. The performance of light shelves was examined through simulations on DIALux and compared with experimental values obtained from a prototype. Substantial improvement in illuminance is obtained in the experimental studies with tilted light shelves on the prototype.
Volume: 15
Issue: 1
Page: 168-177
Publish at: 2019-07-01

Enterprise architecture adoption issues and challenges: a systematic literature review

10.11591/ijeecs.v15.i1.pp399-408
Nor Azizah Ahmad , Sulfeeza Mohd. Drus , Nur Azaliah Abu Bakar
This article on Systematic Literature Review (SLR) provides the issues and challenges faced by organizations when adopting EA.  Firstly, a review of literature that discusses the problems and challenges was undertaken.  Methods and theories adopted were reviewed to identify the existing approach and perspective on resulting factors that influenced EA adoption.  Based on the inclusion and exclusion criteria defined in the review process, 16 articles were selected.  A total of 19 challenges and problems were identified such as EA misconceptions, overlapping organizational rules, unclear leadership as well as lack of business and IT alignment.  A sum of 15 factors from multidimensional contexts that influenced the EA adoption in the organization were also discussed, such as top management support, governance, communication as well as EA knowledge and skill.  This SLR also reflected that there were relatively little empirical studies conducted on EA adoption studies. The existing studies tend to apply single and multiple theories from the organization and management domains in one study.  By understanding such issues and challenges, risks can be reduced and avoided when introducing EA to organizations, and subsequently ease the deployment process. Thus, this article may shed light on understanding  the organizational-related factors and the underlying relationships of EA adoption. As a result, an effective adoption of EA can be facilitated in the organizations.
Volume: 15
Issue: 1
Page: 399-408
Publish at: 2019-07-01

Opinion Mining on Culinary Food Customer Satisfaction Using Naïve Bayes Based-on Hybrid Feature Selection

10.11591/ijeecs.v15.i1.pp468-475
Oman Somantri , Dyah Apriliani
Conducting an assessment of consumer sentiments taken from social media in assessing a culinary food gives useful information for everyone who wants to get this information especially for migrants and tourists, in th other hand that information is very valuable for food stall and restaurant owners as information in improvinf food quality. Overcoming this problem, a sentiment analysis classification model using naïve bayes algorithm (NB) was applied to get this information. This problem occurs is the level of accuracy of classification of consumer ratings of culinary food is still not optimal because the weight of values in the data preprocessing process are not optimal. In this paper proposed a hybrid feature selection models to overcome the problems in the process of selecting the feature attributes that have not been optimal by using a combination of information gain (IG) and genetic algorithm (GA) algorithms. The result of this research showed that after the experiment and compared to using others algorithms produce the best of the level occuracy is 93%.
Volume: 15
Issue: 1
Page: 468-475
Publish at: 2019-07-01

Internet of things (IoT) based traffic management & routing solution for parking space

10.11591/ijeecs.v15.i1.pp336-345
Zulnazim Dzulkurnain , Abd Kadir Mahamad , Sharifah Saon , Mohd Anuaruddin Ahmadon , Shingo Yamaguchi
The idea of Internet of Things (IoT) based traffic management & routing solution for parking space is due to the vehicle parking has become major issue in urban areas. The growing number of vehicles has contributed to the traffic problem and vehicle parking issue nowadays. The main purpose of this project is to assist the user to locate the vacant parking space, which help to reduce time and fuel consumption on searching the parking space. This proposed system was used online system via website application, which assist people to find the available parking slot. In fact, the system counted the capacity of the available parking space and notified the user through the website application. Frankly, the system was equipped with an ultrasonic sensor, which acts as the detector that sent data to the microcontroller in order to update into UBIDOTS cloud server for data logger purposes. This system could lessen or solve the time management problem at the parking area, which user could save their time by checking the available parking slots in advance through the website application.
Volume: 15
Issue: 1
Page: 336-345
Publish at: 2019-07-01

Photovoltaic flyback micro-inverter with power decoupling technique

10.11591/ijeecs.v15.i1.pp9-19
Salam Jabr , Adel A. Obed
This paper proposes a low-cost single-phase micro-inverter for grid-connected photovoltaic (PV) system. The lifetime of the conventional flyback micro-inverter is shortened, because lifetime of a large electrolyte capacitor is shortened. For this reason, the need for a large electrolyte capacitor is avoided by proposing power decoupling (PD) circuit. Dual advantages are achieved by proposed circuit, first high-power decoupling with small capacitances and other to protect the main MOSFET from spike voltage stress during turn off time without needing for additional a snubber circuit. Consequently, PD circuit is already used as a snubber circuit to absorb the leakage energy in the transformer which may destroy the switch and thus the voltage spike on the main MOSFET decreased. In addition, operating principle, modes, and control scheme of the proposed micro-inverter are discussed. As the simulation results, the input power ripple of the single-phase power fluctuation is under than 4%, unity power factor (P.F) and the total harmonic distortion (THD) of the proposed inverter output current is less than 5%. PSIM tool box is provided to simulate the proposed system and the simulation results are adequate.
Volume: 15
Issue: 1
Page: 9-19
Publish at: 2019-07-01

A sub-1V high PSRR OpAmp based β-multiplier CMOS bandgap voltage reference with resistive division

10.11591/ijeecs.v15.i1.pp155-167
Anass SLAMTI , Youness MEHDAOUI , Driss CHENOUNI , Zakia LAKHLIAI
A sub-1V opamp based β-multiplier CMOS bandgap voltage reference (BGVR) with high power supply rejection ratio (PSRR) and low temperature coefficient (TC) is proposed in this paper. A current mode regulator scheme is inserted to isolate the supply voltage of the operational amplifier (opamp) and the supply voltage of the BGVR core from the supply voltage source in order to reduce ripple sensitivity and to achieve a high PSRR. The proposed circuit is designed and simulated in 0.18-μm standard CMOS technology. The proposed voltage reference delivers an output voltage of 634.6mV at 27°C. Tthe measurement temperature coefficient is 22,3ppm/°C over temperature range -40°C to 140°C, power supply rejection ratio is -93dB at 10kHz and -71dB at 1MHz and a line regulation of 104μV/V is achieved over supply voltage range 1.2V to 1.8V. The layout area of the proposed circuit is 0.0337mm2. The proposed sub-1V bandgap voltage reference can be used as an internal voltage reference in low power LDO regulators and switching regulators.
Volume: 15
Issue: 1
Page: 155-167
Publish at: 2019-07-01

Cloud based secured framework for implementation of online voting system

10.11591/ijeecs.v15.i1.pp328-335
K S Gururaj , Dr K Thippeswamy
Accessing and Utilization of data and information from remote location is one of the major requirements of present world. Due to the increase in the requirement of the data access from remote locations, challenges in the enhancement of technology based systems also have increased proportionately. Technology based solution for accessibility of remote data with available infrastructure is the need of the hour. Implementation of technology based solutions for the challenges may be expensive due to the current technical limitations. In this paper, we have attempted to design a secured cloud based framework for Online Voting System and analyzed its performance based on the three cryptographic algorithms namely Blowfish, AES and RSA.
Volume: 15
Issue: 1
Page: 328-335
Publish at: 2019-07-01
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