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29,758 Article Results

Faults Signature Extraction in Wind Farm Integrated Transmission Line Topology

10.11591/ijeecs.v12.i1.pp246-253
Osaji Emmanuel , Mohammad Lutfi Othman , Hashim Hizam , Muhammad M. Othman , Elhad Akar E. , Okeke Chidiebere A. , Nwagbara Samuel O.
The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protection compromise challenges in power system due to in-feeds fault current penetration from RGES on existing system, leading to an undesired trip of the healthy section of TL, equipment damages, and safety failure. A comparison study of extracted faults signature from two proposed Transmission Line (TL) network topologies with and without WFG integration, for onward fault identification, and classification model design. Descrete wavelet multiresolution Analysis (DWMRA) of extracted one-cycle fault signal signatures from 11 faults type’s scenarios in Matlab. Result demonstrated a unique fault signatures across all simulated faults scenarios harness for future work of an adaptive unit protection model for this new area of DG integration.
Volume: 12
Issue: 1
Page: 246-253
Publish at: 2018-10-01

User Selective Encryption Method for Securing MANETs

10.11591/ijece.v8i5.pp3103-3111
Amal Ahmad , Shereen Ismail
Security issue is getting important day by day. At present, there are a variety of methodologies to provide protection for data confidentiality. MANETs have lots of security challenges than traditional networks like infrastructureless and self-organizing requirements. As the MANETs are dynamic networks that’s make every transmission in such networks vulnerable to many attacks and improving security level becomes a main issue. This paper introduces a user selective encryption method by operating Data Encryption Standard (DES), Triple DES (3DES), Advanced Encryption Standard (AES) and the Diffie-Hellman Key Exchange (DHKE) protocol for key management in order to improve MANET security. Through the Network Simulator-2 (NS-2), the we investigate the performance of the proposed method in terms of data transfer time and network throughput for different data sizes and different sender-to-receiver number of hops. The results show the superiority of AES over other encryption algorithms. Furthermore, the effectiveness of our proposed method is verified through comparing our results with those obtained from previous studies.
Volume: 8
Issue: 5
Page: 3103-3111
Publish at: 2018-10-01

Optimal Economic Load Dispatch using Multiobjective Cuckoo Search Algorithm

10.11591/ijeecs.v12.i1.pp168-174
Z.M. Yasin , N.F.A. Aziz , N.A. Salim , N.A. Wahab , N.A. Rahmat
In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to test the effectiveness of the proposed technique which are fuel cost minimization, carbon emission minimization and multiobjective function with fixed weighted sum. The effectiveness of the MOCSA’s performances are illustrated through comparative study with other techniques such as Multiobjective Genetic Algorithm (MOGA) and Multiobjective Particle Swarm Optimization (MOPSO) in terms of fitness functions. The proposed study was conducted on three generating unit system at various loading condition. The result proved that MOCSA provide better solution in minimizing fuel cost and carbon emission usage as compared to other techniques.
Volume: 12
Issue: 1
Page: 168-174
Publish at: 2018-10-01

Real-time Multi-object Face Recognition Using Content Based Image Retrieval (CBIR)

10.11591/ijece.v8i5.pp2812-2817
Muhammad Fachrurrozi , Saparudin Saparudin , Erwin Erwin , Mardiana Mardiana , Clara Fin Badillah , Junia Erlina , Auzan Lazuardi
Face recognition system in real time is divided into three processes, namely feature extraction, clustering, detection, and recognition. Each of these stages uses different methods, Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance. Multi-face image search using Content Based Image Retrieval (CBIR) method. CBIR performs image search by image feature itself. Based on real time trial results, the accuracy value obtained is 61.64%.  
Volume: 8
Issue: 5
Page: 2812-2817
Publish at: 2018-10-01

Epidemic Alert System: A Web-based Grassroots Model

10.11591/ijece.v8i5.pp3809-3828
Etinosa Noma Osaghae , Kennedy Okokpujie , Charles Ndujiuba , Olatunji Okesola , Imhade P. Okokpujie
Most web-based disease surveillance systems that give epidemic alerts are based on very large and unstructured data from various news sources, social media and online queries that are parsed by complex algorithms. This has the tendency to generate results that are so diverse and non-specific. When considered along with the fact that there are no existing standards for mining and analyzing data from the internet, the results or decisions reached based on internet sources have been classified as low-quality. This paper proposes a web-based grassroots epidemic alert system that is based on data collected specifically from primary health centers, hospitals and registered laboratories. It takes a more traditional approach to indicator-based disease surveillance as a step towards standardizing web-based disease surveillance. It makes use of a threshold value that is based on the third quartile (75th percentile) to determine the need to trigger the alarm for the onset of an epidemic. It also includes, for deeper analysis, demographic information.
Volume: 8
Issue: 5
Page: 3809-3828
Publish at: 2018-10-01

Study on Breakdown Voltage for Vegetable Oils With Additive TiO2

10.11591/ijeecs.v12.i1.pp175-181
Muhammad Bin Yahya , Raja Muhammad Khidir Raja Chik
High voltage power transformers commonly used petroleum-based mineral oil for cooling and insulation purposes. Researchers are looking for suitable vegetable oils as alternatives to mineral oil to be used as transformer oil. The alternative vegetable oils are biodegradable, non-toxic and environmentally friendly. They may require some processing and modification to improve some of their properties to ascertain their safe use in power and distribution transformers as well as in high voltage equipment. This paper presents a study on the AC breakdown voltages of Palm Oil (PO) and Coconut Oil (CO) with presence of an additive. PO and CO are chosen as they are locally produced oils in Malaysia and easily obtained. The type of additive used in this study is Titanium dioxide TiO2. TiO2 nanoparticles was added into PO and CO at volume concentration of 0.1% to 0.5%. The effect of different gap distance of electrode 1.5mm, 2.5mm and 3.5mm was studied. The temperature of oil is controlled at 30oC. This paper provides a comparative assessment of breakdown properties through experimental investigation of PO and CO before and after the additive is added according to ASTM D1816 standard. From the experimental result, the PO have slightly higher breakdown voltage compared to CO. From all oil sample data recorded, it can be concluded that the breakdown voltage had increased to the increase in gap distance of electrode under presence of TiO2.
Volume: 12
Issue: 1
Page: 175-181
Publish at: 2018-10-01

Probabilistic Performance Index based Contingency Screening for Composite Power System Reliability Evaluation

10.11591/ijece.v8i5.pp2661-2670
Venkata Satheesh Babu K , Madhusudan V , Ganesh V
Composite power system reliability involves assessing the adequacy of generation and transmission system to meet the demand at major system load points. Contingency selection was being the most tedious step in reliability evaluation of large electric systems. Contingency in power system might be a possible event in future which was not predicted with certainty in earlier research. Therefore, uncertainty may be inevitable in power system operation. Deterministic indices may not guarantee the randomness in reliability assessment. In order to account for volatility in contingencies, a new performance index proposed in the current research. Proposed method assimilates the uncertainty in computational procedure. Reliability test systems like Roy Billinton Test System-6 bus system and IEEE-24 bus reliability test systems were used to test the effectiveness of a proposed method.
Volume: 8
Issue: 5
Page: 2661-2670
Publish at: 2018-10-01

A Modified Boltzmann Machine for Solving Distribution System Expansion Planning in Malaysia

10.11591/ijeecs.v12.i1.pp193-200
Siti Hajar Mohd Tahar , Shamshul Bahar Yaakob , Amran Ahmed
This paper proposes an effective technique to solve Distribution System Expansion Planning (DSEP) problem by using the artificial neural network. The proposed technique will be formulated by using mean-variance analysis (MVA) approach in the form of mixed-integer quadratic programming problem. It consists of two layers neural network which combine Hopfield network and Boltzmann machine (BM) in upper and lower layer respectively named as Modified BM. The originality of the proposed technique is it will delete the unit of the second layer, which is not selected in the first layer in its execution. Then, the second layer is restructured using the selected units. Due to this feature, the proposed technique will improve time consuming and accuracy of solution. Referring to the case study demonstrated in this paper, the significance outputs obtained are the improvement in computational time and accuracy of solution provided. As the solution provided various of options, the proposed technique will help decision makers in solving DSEP problem. As a result, the performance of strategic investment planning in DSEP certainly enhanced.
Volume: 12
Issue: 1
Page: 193-200
Publish at: 2018-10-01

Structuring Elements of Hit or Miss to Identify Pattern of Benchmark Latin Alphabets Strokes

10.11591/ijeecs.v12.i1.pp356-362
Norzehan Sakamat , Noor Elaiza Abd Khalid , Inda Ishadah Nazrul Azha
Identification of features in correct alphabet stroke formation is a primary factor in acknowledging handwriting legibility. Hit–or-Miss transform is a morphology operator that is often applied to identify geometric features. Identifying the correct structuring elements (SEs) provides a good geometric feature extraction. Therefore this research proposes to identify generic SEs representing alphabet strokes. The handwriting font used is Syazalina83v3 which is  popularly use in teaching writing for lower primary school children in Malaysia. The methodology consists of four phases which are alphabet selection; image pre-processing; manual measurement and hit or miss algorithm with single and various combination of 2x2, 3x3 and 5x5 SE window size; and SEs performance using Pearson correlation.  The  combination of horizontal and vertical, right diagonal and left diagonal SEs performs well with very strong correlation in detecting  Simple Straight Line(SSL), Complex Straight Line(CSL) , Curve Line (CL) and Combination of Curve Line and Simple Straight Line(CLSSL) based on Evan’s correlation guide.
Volume: 12
Issue: 1
Page: 356-362
Publish at: 2018-10-01

Enhanced Transmission and Receiver Diversity in Orthogonal Frequency Division Multiplex Systems using Blind Channel Estimation

10.11591/ijece.v8i5.pp2738-2743
Vivek Kumar Gupta , Sandip Vijay
This paper deals with the blind channel estimation technique in OFDM system with receiver diversity to analyze the bit error rate with respect to the number of symbols. The paper clearly brings out the advantage that is being offered by the use of Blind channel estimation technique in terms of SNR requirements. Also a comparative study has been made for the analysis of BER variation with the amount i.e. number of symbols being transmitted. The work also explores the possibility of obtaining an optimum value of number of receivers that may lead to desired BER for threshold value of SNR in an OFDM system.
Volume: 8
Issue: 5
Page: 2738-2743
Publish at: 2018-10-01

Adaptation Meta-Cognitive as an Educational Tool: Animated Puzzle

10.11591/ijeecs.v12.i1.pp319-325
Ida Syakirah Sudin , Suzana Ahmad , Marina Ismail , Norizan Mat Diah
Students need to be equipped with high order thinking skill in order to prepare them with future world. Eventhough variety of programs on teaching high order thinking skills has been implemented formally in schools in Malaysia and also placed in the school curriculum, the results are not to the satisfactory.  This research is proposing a suitable educational tool which can  increase higher thinking skills among students. Keeping in mind that learning is a conceptualized multidimensional development involving three components: cognitive learning achievement, meta-cognition and motivation, an educational game with Meta-cognitive activity is proposed.  An animated puzzle game that adapts acitivities that enables to nurture meta-cognitive skills has been developed and tested.  Heuristic testing and functionality testing has been done towards the project prototype and positive results has been obtained.  An enhancement of prototype will embark a new perspective of educational mechanism and could improve students higher order thinking skills capability.
Volume: 12
Issue: 1
Page: 319-325
Publish at: 2018-10-01

Selection of Learning Materials Based on Students’ Behaviors in 3DMUVLE

10.12928/telkomnika.v16i5.7994
Rasim; Bandung Institute of Technolog Rasim , Yusep; Bandung Institute of Technology Rosmansyah , Armein Z.R.; Bandung Institute of Technology Langi , Munir; Universitas Pendidikan Indonesia Munir
Learning in 3-dimensional virtual environments has been widely used as a complement to traditional learning. Multi User Virtual Learning Environment in 3 Dimensions (3DMUVLE) provides many benefits and can support lifelong learning. In its implementation, this learning has not supported personal learning. This study aims to build a 3DMUVLE with personalized materials based on students' models. The system development model uses the Linear Sequence model by integrating MOODLE, SLOODLE and OPENSIM. Student's model in this research is Myer Briggs Type Indicator (MBTI) and determination of type uses fuzzy logic. The results of this study are 16 types of students and each type consists of 3 levels: low, medium and high. Each level has a specific learning material. The implication of this research is the level of MBTI type so that the learning material is more specific.
Volume: 16
Issue: 5
Page: 2127-2136
Publish at: 2018-10-01

Effects of the Computer Mediated Communication Interaction on Vocabulary Improvement

10.12928/telkomnika.v16i5.10195
Siamak; Flinders University Mirzaei , Ashkan Farrokh; Unisa University Hayati
This study examined the effect of CMC interaction on Iranian EFL learners’ vocabulary improvement. The study was carried out on the basis of a comparative design and tried to compare CMC with face to-face interactions in the Iranian EFL learners in order to see whether the learners’ lexical knowledge improved by the CMC interaction. Participants of the study were advanced learners studying in a language institute. The Oxford placement test was used to determine the Iranian EFL learners’ proficiency level and ensure a homogeneous sample. Then, the participants were randomly assigned to one control group (face-to-face interaction) and one experimental group (CMC interaction) in order to compare the effect of CMC on the learners’ vocabulary improvement. The learners took a pre-test to select 12 target lexical items, treatment activity to perform information-gap task, and two immediate and delayed post-tests for assessing the acquisition of new lexical items. Yahoo Messenger was used to provide the chat communication. The research provided evidence that there was a significant relationship between the use of CMC interaction and face-to-face interaction with regard to improvement in the learners’ vocabulary learning. The result indicated that the learners’ vocabulary learning improved more in CMC interaction in comparison to face-to-face interaction. In addition, there was a significant difference in negotiating the meaning of new lexical items through CMC interaction in comparison to face-to-face interaction. Moreover, the results indicated that in terms of signal, the CMC interaction outperformed face-to-face group.
Volume: 16
Issue: 5
Page: 2217-2225
Publish at: 2018-10-01

Modelling of Time Efficiency in Heterogeneous and Adhoc Networks

10.11591/ijeecs.v12.i1.pp147-154
Yatendra Singh Bhandari , Yashwant Singh Chauhan , Priti Dimri
Heterogeneous Networks are bunch of homogeneous networks base stations grouped together. The term introduced in this research paper Time Efficiency (Te) gives out the information on the heterogeneous networks where most of the data flows in and out. In this paper, a model for evaluating Time Efficiency in heterogeneous network is developed. The common goals of different base stations in a heterogeneous network are towards coverage of area and capability improvement. Base stations in a homogeneous network differs in transmitted power, achievable rate of data, area covered, density of a base station, energy efficiency and time efficiency. To find out the area of most data flow in certain period, Time efficiency can be used as a major factor. 
Volume: 12
Issue: 1
Page: 147-154
Publish at: 2018-10-01

Harmonic Suppression Dual-band Dipole Antenna with Parasitic Elements and a Stub

10.12928/telkomnika.v16i5.9188
A. B.; Universiti Tun Hussein Onn Malaysia Albishti , S A; Universiti Tun Hussein Onn Malaysia Hamzah , S M; Universiti Tun Hussein Onn Malaysia Shah , K N; Universiti Tun Hussein Onn Malaysia Ramli , N; Universiti Tun Hussein Onn Malaysia Abdullah , M S; Universiti Tun Hussein Onn Malaysia Zainal , L; Universiti Tun Hussein Onn Malaysia Audah , A; Universiti Tun Hussein Onn Malaysia Ubin , F C; Universiti Tun Hussein Onn Malaysia Seman , A K; Universiti Tun Hussein Onn Malaysia Anuar , S Z; Universiti Tun Hussein Onn Malaysia Sapuan , R; Universiti Tun Hussein Onn Malaysia Atan , M; Universiti Teknologi Malaysia Esa , N N N Abd; Universiti Teknologi Malaysia Malik
A dual-band harmonic suppression dipole antenna suitable for energy harvesting system is presented in this paper. A linear dipole with two parasitic elements is designed and fabricated with a capability to eliminate the harmonic of higher order modes. At first, the antenna resonates at 900 MHz and 2.7 GHz. Therefore, a parasitic element is added into each of the dipole’s arm to tune the second frequency band to 2.4 GHz to fit into wireless application. However, the presence of two parasitic elements has generated an unwanted harmonic at 4.0 GHz. Thus, a stub has been integrated into the antenna’s terminal (feed line) to suppress the 4.0 GHz frequency. This technique is suitable for developing a multiband antenna with harmonic suppression. The antenna is fabricated on a FR-4 board with the size of 72×152 mm2 which operates efficiently at 0.8 GHz and 2.4 GHz which is suitable for wireless communication applications. The prototype can suppress the undesired harmful harmonics present within the frequency range of 3 to 5 GHz. The antenna has a good potential to be used in a rectenna system with a dual-band frequency operation but with better performance. Simulation and measurement results obtained are in a good agreement, which have confirmed the proposed design concept.
Volume: 16
Issue: 5
Page: 1918-1922
Publish at: 2018-10-01
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