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30,033 Article Results

Robust Visual Multi Target Trackers: A Review

10.11591/ijeecs.v12.i1.pp7-16
Pavan Kumar E , Manojkumar Rajgopal
In this review paper, we address on the state-of-art process with visual object tracking in video surveillance, medical and military applications. In the present scenario number of algorithms and methods are used to track the object in the different scene, a robust visual object tracking remains a critical challenge. The challenges arise due to object motion from frame to frame with a change in appearance, structures, illumination, and occlusion. In this paper, at last, we outline the different algorithms, dataset, strength, and weakness of the different object tracker.
Volume: 12
Issue: 1
Page: 7-16
Publish at: 2018-10-01

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

Two Level Disambiguation Model for Query Translation

10.11591/ijece.v8i5.pp3923-3932
Pratibha Bajpai , Parul Verma , Syed Q. Abbas
Selection of the most suitable translation among all translation candidates returned by bilingual dictionary has always been quiet challenging task for any cross language query translation. Researchers have frequently tried to use word co-occurrence statistics to determine the most probable translation for user query. Algorithms using such statistics have certain shortcomings, which are focused in this paper. We propose a novel method for ambiguity resolution, named ‘two level disambiguation model’. At first level disambiguation, the model properly weighs the importance of translation alternatives of query terms obtained from the dictionary. The importance factor measures the probability of a translation candidate of being selected as the final translation of a query term. This removes the problem of taking binary decision for translation candidates. At second level disambiguation, the model targets the user query as a single concept and deduces the translation of all query terms simultaneously, taking into account the weights of translation alternatives also. This is contrary to previous researches which select translation for each word in source language query independently. The experimental result with English-Hindi cross language information retrieval shows that the proposed two level disambiguation model achieved 79.53% and 83.50% of monolingual translation and 21.11% and 17.36% improvement compared to greedy disambiguation strategies in terms of MAP for short and long queries respectively.
Volume: 8
Issue: 5
Page: 3923-3932
Publish at: 2018-10-01

An Event-based Middleware for Syntactical Interoperability in Internet of Things

10.11591/ijece.v8i5.pp3784-3792
Eko Sakti Pramukantoro , Husnul Anwari
Internet of Things (IoT) connecting sensors or devices that record physical observations of the environment and a variety of applications or other Internet services. Along with the increasing number and diversity of devices connected, there arises a problem called interoperability. One type of interoperability is syntactical interoperability, where the IoT should be able to connect all devices through various data protocols. Based on this problem, we proposed a middleware that capable of supporting interoperability by providing a multi-protocol gateway between COAP, MQTT, and WebSocket. This middleware is developed using event-based architecture by implementing publish-subscribe pattern. We also developed a system to test the performance of middleware in terms of success rate and delay delivery of data. The system consists of temperature and humidity sensors using COAP and MQTT as a publisher and web application using WebSocket as a subscriber. The results for data transmission, either from sensors or MQTT COAP has a success rate above 90%, the average delay delivery of data from sensors COAP and MQTT below 1 second, for packet loss rate varied between 0% - 25%. The interoperability testing has been done using Interoperability assessment methodology and found out that ours is qualified.
Volume: 8
Issue: 5
Page: 3784-3792
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

Experimental Analysis of Web Browser Sessions Using Live Forensics Method

10.11591/ijece.v8i5.pp2951-2958
Rusydi Umar , Anton Yudhana , Muhammad Nur Faiz
In today's digital era almost every aspect of life requires the internet, one way to access the internet is through a web browser. For security reasons, one developed is private mode. Unfortunately, some users using this feature do it for cybercrime. The use of this feature is to minimize the discovery of digital evidence. The standard investigative techniques of NIST need to be developed to uncover an ever-varied cybercrime. Live Forensics is an investigative development model for obtaining evidence of computer usage. This research provides a solution in forensic investigation effectively and efficiently by using live forensics. This paper proposes a framework for web browser analysis. Live Forensics allows investigators to obtain data from RAM that contains computer usage sessions. 
Volume: 8
Issue: 5
Page: 2951-2958
Publish at: 2018-10-01

Fast Ant Colony Optimization for Clustering

10.11591/ijeecs.v12.i1.pp78-86
Abba Suganda Girsang , Tjeng Wawan Cenggoro , Ko-Wei Huang
Data clustering is popular data analysis approaches, which used to organizing data into sensible clusters based on similarity measure, where data within a cluster are similar to each other but dissimilar to that of another cluster. In the recently, the cluster problem has been proven as NP-hard problem, thus, it can be solved with meta-heuristic algorithms, such as the particle swarm optimization (PSO), genetic algorithm (GA), and ant colony optimization (ACO), respectively. This paper proposes an algorithm called Fast Ant Colony Optimization for Clustering (FACOC) to reduce the computation time of Ant Colony Optimization (ACO) in clustering problem. FACOC is developed by the motivation that a redundant computation is occurred in ACO for clustering. This redundant computation can be cut in order to reduce the computation time of ACO for clustering. The proposed FACOC algorithm was verified on 5 well-known benchmarks. Experimental result shows that by cutting this redundant computation, the computation time can be reduced about 28% while only suffering a small quality degradation.
Volume: 12
Issue: 1
Page: 78-86
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

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

Mining Fuzzy Time Interval Periodic Patterns in Smart Home Data

10.11591/ijece.v8i5.pp3374-3385
Imam Mukhlash , Desna Yuanda , Mohammad Iqbal
A convergence of technologies in data mining, machine learning, and a persuasive computer has led to an interest in the development of smart environment to help human with functions, such as monitoring and remote health interventions, activity recognition, energy saving. The need for technology development was confirmed again by the aging population and the importance of individual independent in their own homes. Pattern mining on sensor data from smart home is widely applied in research such as using data mining. In this paper, we proposed a periodic pattern mining in smart house data that is integrated between the FP-Growth PrefixSpan algorithm and a fuzzy approach, which is called as fuzzy-time interval periodic patterns mining. Our purpose is to obtain the periodic pattern of activity at various time intervals. The simulation results show that the resident activities can be recognized by analyzing the triggered sensor patterns, and the impacts of minimum support values to the number of fuzzy-time-interval periodic patterns generated. Moreover, fuzzy-time-interval periodic patterns that are generated encourages to find daily or anomalies resident’s habits.
Volume: 8
Issue: 5
Page: 3374-3385
Publish at: 2018-10-01

Improved p-q Harmonic Detection Method for Hybrid Active Power Filter

10.11591/ijece.v8i5.pp2910-2919
Chau Minh Thuyen
The accuratedetermination of the load harmonic current is one of the important factors, it decides to effect of harmonic filtering and reactive power compensation for Hybrid Active Power Filter. The p-q harmonic detection method has been widely used in determining the harmonic currents of Hybrid Active Power Filter. However, when using this method, the dynamic response of Hybrid Active Power Filter in the transient period will have a large transient time and overshoot whenever the load changes abruptly. Therefore, in this paper an improved p-q harmonic current detection method based on fuzzy logic is proposed, which aims to reduce the overshoot and transient time in transient duration of Hybrid Active Power Filter. In order to compare the dynamic response of conventional and improved p-q harmonic detection methods, simulation results have demonstrated that: the proposed method has a shorter response time, the magnitude of the supply current in the transient time is smaller and the overshoot of the fundamental active and reactive power components is very small. This has a practical significance that contributes to the stability of the Hybrid Active Power Filter system
Volume: 8
Issue: 5
Page: 2910-2919
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
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