Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

30,609 Article Results

A Review on Solar Secondary Concentrator

10.12928/telkomnika.v16i5.8821
Muhammad Faez; Universiti Teknikal Malaysia Melaka Ali , Mohd Ruddin; Universiti Teknikal Malaysia Melaka Ab Ghani , Chin Kim; Universiti Teknikal Malaysia Melaka Gan , Syariffah; Universiti Teknikal Malaysia Melaka Othman , Zanariah; Universiti Teknikal Malaysia Melaka Jano , Tole; Universitas Ahmad Dahlan Sutikno
Concentrating solar power (CSP) is a solar thermal technology that generates electricity from thermal energy through the sun.The electricitycan be generated with four different types of CSP technologies that include Parabolic Dish (PD) systems. In order to make this technology more practical, the efficiency of the solar technology should be improved.Solar concentration is one of the main aspects that can affect the system’sefficiency. This paper reviewed solar secondary concentrators and discussed their designs and performance. Besides, their strengths and weaknesses were compared. Generally, thesecondary concentrators couldincrease the solar concentration of the solar technologyup to 93 percent.
Volume: 16
Issue: 5
Page: 2365-2373
Publish at: 2018-10-01

Load Balance in Data Center SDN Networks

10.11591/ijece.v8i5.pp3084-3091
Tariq Emad Ali , Ameer Hussein Morad , Mohammed A. Abdala
In the last two decades, networks had been changed according to the rapid changing in its requirements.  The current Data Center Networks have large number of hosts (tens or thousands) with special needs of bandwidth as the cloud network and the multimedia content computing is increased. The conventional Data Center Networks (DCNs) are highlighted by the increased number of users and bandwidth requirements which in turn have many implementation limitations.  The current networking devices with its control and forwarding planes coupling result in network architectures are not suitable for dynamic computing and storage needs.  Software Defined networking (SDN) is introduced to change this notion of traditional networks by decoupling control and forwarding planes. So, due to the rapid increase in the number of applications, websites, storage space, and some of the network resources are being underutilized due to static routing mechanisms. To overcome these limitations, a Software Defined Network based Openflow Data Center network architecture is used to obtain better performance parameters and implementing traffic load balancing function. The load balancing distributes the traffic requests over the connected servers, to diminish network congestions, and reduce underutilization problem of servers. As a result, SDN is developed to afford more effective configuration, enhanced performance, and more flexibility to deal with huge network designs
Volume: 8
Issue: 5
Page: 3084-3091
Publish at: 2018-10-01

Optimum Network Reconfiguration using Grey Wolf Optimizer

10.12928/telkomnika.v16i5.10271
Ridha Djamel; University of Djelfa Mohammedi , Rabie; Prince Sattam Bin Abdulaziz University Zine , Mustafa; Amar Telidji University of Laghouat Mosbah , Salem; Amar Telidji University of Laghouat Arif
The objective of this paper is to determine an optimal network reconfiguration that presents the minimum losses considering network constraints using Grey Wolf Optimizer (GWO) algorithm. The proposed algorithm was tested using some standard networks (33_bus, 69_bus, 84_busand 118_bus).
Volume: 16
Issue: 5
Page: 2428-2435
Publish at: 2018-10-01

Adaptive Multi-state Millimeter Wave Cell Selection Scheme for 5G communication

10.11591/ijece.v8i5.pp2967-2978
Mothana L Attiah , Azmi Awang Md Isa , Zahriladha Zakaria , Nor Fadzilah Abdullah , Mahamod Ismail , Rosdiadee Nordin
Millimeter wave bands have been introduced as one of the most promising solutions to alleviate the spectrum secrecy in the upcoming future cellular technology (5G) due the enormous amount of raw bandwidth available in these bands. However, the inherent propagation characteristics of mmWave frequencies could impose new challenges i.e. higher path loss, atmospheric absorption, and rain attenuation which in turn increase the outage probability and hence, degrading the overall system performance. Therefore, in this paper, a novel flexible scheme is proposed namely Adaptive Multi-State MmWave Cell Selection (AMSMC-S) through adopting three classes of mmWave base stations, able to operate at various mmWave carrier frequencies (73, 38 and 28 GHz). Two mmWave cellular Grid-Based cell deployment scenarios have been implemented with two inter-site-distances 200 m and 300 m, corresponding to target area of (2.1 km2) and (2.2 km2). The maximum SINR value at the user equipment (UE) is taken in to consideration to enrich the mobile user experience. Numerical results show an improvement of overall system performance, where the outage probability reduced significantly to zero while maintaining an acceptable performance of the 5G systems with approximately more than 50% of the mobile stations with more than 1Gbps data rate. 
Volume: 8
Issue: 5
Page: 2967-2978
Publish at: 2018-10-01

HSO: A Hybrid Swarm Optimization Algorithm for Reducing Energy Consumption in the Cloudlets

10.12928/telkomnika.v16i5.9415
Raed A.; University Malaysia Pahang Hasan , Mostafa A.; University Politechnica of Bucharest Mohammed , Zeyad Hussein; Tikrit University Salih , Mohammed Ariff; University Malaysia Pahang Bin Ameedeen , Nicolae; University Politechnica of Bucharest Ţăpuş , Muamer N.; University Malaysia Pahang Mohammed
Mobile Cloud Computing (MCC) is an emerging technology for the improvement of mobile service quality. MCC resources are dynamically allocated to the users who pay for the resources based on their needs. The drawback of this process is that it is prone to failure and demands a high energy input. Resource providers mainly focus on resource performance and utilization with more consideration on the constraints of service level agreement (SLA). Resource performance can be achieved through virtualization techniques which facilitates the sharing of resource providers’ information between different virtual machines. To address these issues, this study sets forth a novel algorithm (HSO) that optimized energy efficiency resource management in the cloud; the process of the proposed method involves the use of the developed cost and runtime-effective model to create a minimum energy configuration of the cloud compute nodes while guaranteeing the maintenance of all minimum performances. The cost functions will cover energy, performance and reliability concerns. With the proposed model, the performance of the Hybrid swarm algorithm was significantly increased, as observed by optimizing the number of tasks through simulation, (power consumption was reduced by 42%). The simulation studies also showed a reduction in the number of required calculations by about 20% by the inclusion of the presented algorithms compared to the traditional static approach. There was also a decrease in the node loss which allowed the optimization algorithm to achieve a minimal overhead on cloud compute resources while still saving energy significantly. Conclusively, an energy-aware optimization model which describes the required system constraints was presented in this study, and a further proposal for techniques to determine the best overall solution was also made.
Volume: 16
Issue: 5
Page: 2144-2154
Publish at: 2018-10-01

Genetic Algorithm with Elitist-Tournament for Clashes-Free Slots of Lecturer Timetabling Problem

10.11591/ijeecs.v12.i1.pp303-309
Marina Yusoff , Anis Amalina Othman
Genetic algorithm (GA) approach is one of an evolutionary optimization technique relies on natural selection. The employment of GA still popular and it was applied to many real-world problems, especially in many combinatorial optimization solutions. Lecturer Timetabling Problem (LTP) has been researched for a few decades and produced good solutions. Although, some of LTP offers good results, the criteria and constraints of each LTP however are different from other universities. The LTP appears to be a tiresome job to the scheduler that involves scheduling of students, classes, lecturers and rooms at specific time-slots while satisfying all the necessary requirements to build a feasible timetable. This paper addresses the employment and evaluation of GA to overcome the biggest challenge in LTP to find clashes-free slots for lecturer based on a case study in the Faculty of Computer and Mathematical Sciences, University Technologi MARA, Malaysia. Hence, the performance of the GA is evaluated based on selection, mutation and crossover using different number of population size. A comparison of performance between simple GA with Tournament Selection scheme combined with Elitism (TE) and a GA with Tournament (T) selection scheme. The findings demonstrate that the embedded penalty measures and elitism composition provide good performance that satisfies all the constraints in producing timetables to lecturers. 
Volume: 12
Issue: 1
Page: 303-309
Publish at: 2018-10-01

Website Content Analysis Using Clickstream Data and Apriori Algorithm

10.12928/telkomnika.v16i5.7573
Supriyadi; STMIK Kharisma Karawang Supriyadi , Yani; Bogor Agricultural University Nurhadryani , Arif Imam; Bogor Agricultural University Suroso
Clickstream analysis is the process of collecting, analyzing, and reporting data of visited pages by visitor at the time of mouse clicks. Clickstream data are generally stored on a web server in the access.log file including IP Address data, reference pages, and access time. This study aims to analyze clickstream data by converting into the form of a comma sparated value (csv) so that the string inside of it could be grouped and stored in a database. The important information in the database was processed and retrieved by using one of the techniques in web mining called apriori algorithm analysis. Apriori algorithm implementation was done at the time of reading the database and table query analysis on the software developed. Results of this study were the statistics describing the level of access to web pages that were very helpful for web developers to develop web sites.
Volume: 16
Issue: 5
Page: 2118-2126
Publish at: 2018-10-01

Direction of Arrival Using Uniform Circular Array based on 2-D MUSIC Algorithm

10.11591/ijeecs.v12.i1.pp30-37
Mohammed Amine Ihedrane , Seddik Bri
This study presents the conception, simulation, realisation and characterisation of a patch antenna for Wi-Fi. The antenna is designed at the frequency of 2.45 GHz; the dielectric substrate used is FR4_epoxy which has a dielectric permittivity of 4.4.this patch antenna is used to estimate the direction of arrival (DOA) using 2-D Multiple Signal Classification (2-D MUSIC) the case of the proposed  uniform circular arrays (UCA). The comparison between Uniform circular arrays and Uniform Linear arrays (ULA) demonstrate that the proposed structure give better angles resolutions compared to ULAs.
Volume: 12
Issue: 1
Page: 30-37
Publish at: 2018-10-01

A New Configuration of A High Output Voltage 2.45 GHz Rectifier For Wireless Power Transmission Applications

10.12928/telkomnika.v16i5.9707
A.; Hassan 1st University Taybi , A.; Hassan 1st University Tajmouati , J.; Hassan 1st University Zbitou , A.; Hassan 1st University Errkik , M.; Hassan 1st University Latrach , L. El; Microwave Group ESEO Angers Abdellaoui
This work deals with the design, simulation, fabrication and experimentation of a novel 2.45 GHz rectifier for wireless power transmission applications. We have designed a voltage multiplier topology rectifier including 5 Schottky diodes known by their low threshold. This rectifier could perform a wireless power supply for many cases where the use of batteries or wires is impossible due to many limitations. The circuit was analyzed and optimized with the Harmonic Balance method provided by the Advanced Design System (ADS). Good performances are observed through the simulated results and confirmed by the fabrication tests in terms of RF-DC conversion efficiency, DC output voltage level and matching input impedance.
Volume: 16
Issue: 5
Page: 1939-1946
Publish at: 2018-10-01

Power Cable with Two Joints Experimental Analysis for Defect Assessments

10.11591/ijeecs.v12.i1.pp399-405
Tze Mei Kuan , Azrul Mohd. Ariffin
Time domain reflectometry (TDR) is an easy technique that provides quick response which is ideal for power utility companies to conduct cable diagnostics on-site. Electricity disruption due to power cable failure is a major challenge for power utility companies due to the long length of cable installed with joints. The long time taken to diagnose the defect along the cable before electricity can be restored has not only jeopardized the reputation of power utility companies but also brings losses to the economy. Hence, this study conducts experimental analysis on cable with two joints with the application of TDR technique to reduce the electricity disruption time. This research is divided into two stages where stage 1 conducts experiments on cable with one degraded section while stage 2 looks into cable with two degraded sections. The TDR reflection characteristics are studied from stage 1 experiments and applied to stage 2 experiments to verify the consistency of the TDR reflection characteristics. The cable conditions of stage 2 experiments are predicted using the reflection characteristics from stage 1 observations and are then validated by comparing these predictions with the actual cable configuration. Results obtained from these experiments have proven that the TDR reflection characteristics are consistent and accurate which can be used to sectionalize the degraded cable section. Detail findings of all experiments conducted with the TDR application are discussed in part three of this paper.
Volume: 12
Issue: 1
Page: 399-405
Publish at: 2018-10-01

Subjective-Objective Matching Evaluation Approach for Enhanced Dental Images

10.11591/ijeecs.v12.i1.pp239-245
Siti Arpah Ahmad , Noor Elaiza Abd Khalid , Mohd Nasir Taib , Haslina Taib
Cases of misdiagnosis and variability evaluation among the dentists do happen. The complexity of anatomical structures and the low contrast of the original images are factors that contribute to the problems. Image enhancement is often used to enhance medical images. However, currently limited work has been done in enhancing the dental pathological features. Dentists come from different background in terms of experience, place of study, method of practices and emotional quotient. These are some of the factors that may cause differences in subjective evaluation among dentists. Therefore, this research focused on identifying objective measurements based on dentists’ subjective evaluation on abnormalities’ detection in jaw area. Objective measurement is based on contrast improvement index (CII) and subjective evaluation is derived from dentists’ questionnaire answering. This paper contributes to new knowledge in the initial phase of identifying dental disease characteristics by means of correlation between the subjective and objective evaluation.
Volume: 12
Issue: 1
Page: 239-245
Publish at: 2018-10-01

BB84 with Both Several Cloning and Intercept-resend Attacks

10.11591/ijece.v8i5.pp2988-2993
Mustapha Dehmani , El Mehdi Salmani , Hamid Ez-Zahraouy , Abdelilah Benyoussef
The goal of the protocol QKD BB84 is to allow a transmitter and a receiver which uses a quantum channel to exchange their keys and to detect the presence of eavesdropping attacks. In the present research, we investigate the effect of several eavesdroppers with both intercept-resend and cloning attacks. We will propose the different possible cases of the positioning of the eavesdroppers and their strategies of attacks; also we will calculate the mutual information for each case. The explicit expressions of the mutual information and quantum error clearly show that the security of the exchanged information depends on the numbers of the eavesdroppers and their attacks parameters on the quantum channel.
Volume: 8
Issue: 5
Page: 2988-2993
Publish at: 2018-10-01

Arrhythmia Classification Based on Combined Chaotic and Statistical Feature Extraction

10.11591/ijeecs.v12.i1.pp127-136
Jayagopi G , Pushpa S
Obvious information content in Electro cardio graph has become mandatory to reveal the abnormalities in the heart functions. Arrhythmia is commonly seen heart disorder and results in fatal end, if not identified and treated properly within time limits. The straight forward scene in such diagnosis is to detect the salient features from the Electro cardio graph data using signal processing methods followed by proper classification methods.  16 classes of Arrhythmia had been classified in this work by adopting the traditional method of abnormality detection while introducing a novelty in the type of features to be extracted. Lyapunov Exponents, Kolmogorov Sinai Entropy Density, Kolmogorov Sinai Entropy Universality and R-R interval features based on Kurtosis and Skewness had been used to classify the heart beats from the benchmark MIT-Arrhythmia database. Since alternative features had been utilized, common Support Vector Machines based classification could produce an accuracy of 98.95% in the proposed work with just 13 features.
Volume: 12
Issue: 1
Page: 127-136
Publish at: 2018-10-01

Modified Blowfish Algorithm

10.11591/ijeecs.v12.i1.pp38-45
Theda Flare Ginoy Quilala , Ariel M Sison , Ruji P Medina
Cryptography guarantees security in communication through encryption. This paper proposed a modified Blowfish encryption that uses 128-bit block size and 128-bit key to comply with minimum requirements as an encryption standard. The modification retained the original structure for easy migration but utilized two S-boxes to save memory. A derivation was added to prevent symmetry.  The algorithm’s performance was evaluated using time, and avalanche. Upon testing, the modified blowfish is slower with key, encryption, and decryption average of 26.99ms, 1651.83ms, and 2765.04ms compared to blowfish with 21.65ms, 1297.76ms and 2176.59ms due to block size difference. Applying 128-bit block size increases security by decreasing the chances of having duplicate blocks that may leak information. The modified Blowfish is faster compared to Twofish with an encryption and decryption average time of 2418.08ms and 4002.70ms. The added derivation improved the avalanche of the modified blowfish.  Blowfish achieved 47.14% while modified Blowfish attained 52.86%.
Volume: 12
Issue: 1
Page: 38-45
Publish at: 2018-10-01

Optimization of Dempster-Shafer’s Believe Value Using Genetic Algorithm for Identification of Plant Diseases Jatropha Curcas

10.11591/ijeecs.v12.i1.pp61-68
Triando Hamonangan Saragih , Wayan Firdaus Mahmudy , Yusuf Priyo Anggodo
Jatropha curcas is a plant that can be used as a substitute for diesel fuel. Lack of knowledge of farmers and the limited number of experts and extension agents into the problem of dealing with the disease Jatropha curcas plant which resulted in lower quality of Jatropha curcas. Dempster-Shafer method can be a solution for decision making based on previous research. The difference in beliefs of every expert in seeing Jatropha diseases are important because Dempster-Shafer can not solve this problem. Optimization using genetic algorithms can solve this problem. Optimization of belief values using genetic algorithms can improve the accuracy of the results of this system are using Dempster-Shafer. On the results of this system provides the highest system accuracy value, opimization of belief values using genetic algorithms gives a more significant result than the use of Dempster-Shafer only.
Volume: 12
Issue: 1
Page: 61-68
Publish at: 2018-10-01
1 2 3
...
2040 2041
Show 1448 of 2041

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration