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30,938 Article Results

Interference Temperature Measurements and Spectrum Occupancy Evaluation in the Context of Cognitive Radio

10.11591/ijeecs.v10.i3.pp1007-1012
Paulson N. Eberechukwu , Dauda S. Umar , Alias Mohd , Kamaludin M. Y. , M. Adib bin Sarijari , Rozeha A. Rashid
This paper presents a refined radio spectrum measurement platform specifically designed for spectrum occupancy surveys in the context of Cognitive radio. Cognitive radio permits the opportunistic usage of licensed bands by unlicensed users without causing harmful interference to the licensed user. In this work, a study based on the measurement of the 800 MHz to 2.4 GHz frequency band at two different locations inside Universiti Teknologi Malaysia (UTM), Johor Bahru campus, Malaysia is presented. Two Tektronix RSA306B spectrum analyzer are set up to conduct simultaneous measurements at different locations for a 24 hours period. The analysis conducted in this work is based on the real spectrum data acquired from environment in the experimental set up. Busy and idle channels were identified. The channels subject to adjacent-channel interference were also identified, and the impact of the detection threshold used to detect channel activities was also discussed. The consistency of the observed channel occupation over a range of thresholds and a sudden drop has good characteristics in determining an appropriate threshold needed in order to avoid interference.
Volume: 10
Issue: 3
Page: 1007-1012
Publish at: 2018-06-01

A New Chaotic Map for Secure Transmission

10.12928/telkomnika.v16i3.8545
Hamsa A.; Nahrain University Abdullah , Hikmat N.; Nahrain University Abdullah
The secure communication through synchronization between two identic chaotic systems have recently gained a lot of interest. To implement a robust secure system based on synchronization, there is always a need to generate new discrete dynamical systems and investigate their performances in terms of amount of randomness they have and the ability to achieve synchronization smoothly. In this work, a new chaotic system, named Nahrain, is proposed and tested for the possible use in secure transmission via chaos synchronization as well as in cryptography applications. The performance of the proposed chaotic system is tested using 0-1 test, while NIST suite tests are used to check the randomness statistical properties. The nonlinear control laws are used to verify the synchronization of master-slave parts of the proposed system. The simulation results show that Nahrain system has chaotic behavior and synchronizable, while the equivalent binary sequence of the system has excellent randomness statistical properties. The numerical results obtained using MATLAB for 0-1 test was 0.9864, and for frequency test was 0.4202, while for frequency test within a block was 0.4311. As a result, the new proposed system can be used to develop efficient encryption and synchronization algorithms for multimedia secure transmission applications.
Volume: 16
Issue: 3
Page: 1135-1142
Publish at: 2018-06-01

Evolutionary Computational Algorithm by Blending of PPCA and EP-Enhanced Supervised Classifier for Microarray Gene Expression Data

10.11591/ijai.v7.i2.pp95-104
Manaswini Pradhan
In DNA microarray technology, gene classification is considered to be difficult because the attributes of the data, are characterized by high dimensionality and small sample size. Classification of tissue samples in such high dimensional problems is a complicated task. Furthermore, there is a high redundancy in microarray data and several genes comprise inappropriate information for accurate classification of diseases or phenotypes. Consequently, an efficient classification technique is necessary to retrieve the gene information from the microarray experimental data. In this paper, a classification technique is proposed that classifies the microarray gene expression data well. In the proposed technique, the dimensionality of the gene expression dataset is reduced by Probabilistic PCA. Then, an Artificial Neural Network (ANN) is selected as the supervised classifier and it is enhanced using Evolutionary programming (EP) technique. The enhancement of the classifier is accomplished by optimizing the dimension of the ANN. The enhanced classifier is trained using the Back Propagation (BP) algorithm and so the BP error gets minimized. The well-trained ANN has the capacity of classifying the gene expression data to the associated classes. The proposed technique is evaluated by classification performance over the cancer classes, Acute myeloid leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). The classification performance of the enhanced ANN classifier is compared over the existing ANN classifier and SVM classifier.
Volume: 7
Issue: 2
Page: 95-104
Publish at: 2018-06-01

Optimization of Parallel K-means for Java Paddy Mapping Using Time-series Satelite Imagery

10.12928/telkomnika.v16i3.6876
Alvin; Bogor Agricultural University Fatikhunnada , Kudang Boro; Bogor Agricultural University Seminar , Liyantono; Bogor Agricultural University Liyantono , Mohamad; Bogor Agricultural University Solahudin , Agus; Bogor Agricultural University Buono
Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal mapping both on forest and agricultural site. In order to provide a long-terms of vegetation characteristic maps, a wide time-series images analysis is needed which require high-performance computer and also consumes a lot of energy resources. Meanwhile, for agriculture monitoring purpose in Indonesia, that analysis has to be employed gradually and endlessly to provide the latest condition of paddy field vegetation information. This research is aimed to develop a method to produce the optimized solution in classifying vegetation of paddy fields that diverse both spatial and temporal characteristics. The time-series EVI data from MODIS have been filtered using wavelet transform to reduce noise that caused by cloud. Sequential K-means and Parallel K-means unsupervised classification method were used in both CPU and GPU to find the efficient and the robust result. The developed method has been tested and implemented using the sample case of paddy fields in Java Island. The best system which can accommodate of the extend-ability, affordability, redundancy, energy-saving, maintainability indicators are ARM-based processor (Raspberry Pi), with the highest speed up of 8 and the efficiency of 60%.
Volume: 16
Issue: 3
Page: 1409-1415
Publish at: 2018-06-01

Security of a New Cryptographic Hash Function - Titanium

10.11591/ijeecs.v10.i3.pp1244-1250
Abdullah Nazeeh Saleh , Mohammad A. Al-Ahmad
This paper introduces the security analysis of Titanium hash function that uses SF block cipher and follows sponge construction. A brief description of the sponge function and the design choice of Titanium are introduced. Basic security criteria of random function have been presented and studied on Titanium and then, differential cryptanalysis on Titanium has been performed and showed the resistance of it on the most recent differential attacks. A table of security discussions finalizes the paper and describes the complexity of Titanium on brute force cryptanalysis.
Volume: 10
Issue: 3
Page: 1244-1250
Publish at: 2018-06-01

Investigating the Intelligent Methods of Loss Minimization in Induction Motors

10.12928/telkomnika.v16i3.8293
Sadegh; Islamic Azad University Hesari , Mohsen; Islamic Azad University Noruziazghandi , Ali Asghar; Islamic Azad University Shojaei , Mehdi; sfarayen University of Technology Neyestani
Induction motors are widely used in industry. Given the increasing demand for electric machines in different industries, optimization of these machines to achieve a high efficiency with low cost is of utmost importance. Loss-minimization in motor is done in three ways: 1) optimizing motor selection and design; 2) improving motor power supply waveforms; and 3) using appropriate controlling methods in drives. Often, inductive motors provide the maximum efficiency in their nominal load. In most applications it is necessary for a motor to work in light loads for a long time, e.g. in conveyors, elevators, etc. In these conditions, the machine load is not the nominal load, and a higher percentage of the input power is lost. So, in the case of variable load, the first and second methods cannot increase the efficiency; but the third method provides a large flexibility in decreasing motor losses. In this paper, the application of the third method in loss-minimization is reviewed. These motor losses are mostly related to the controlling strategy and basically occur in light-load conditions. There are various strategies to decrease this kind of losses, which are generally divided into two categories: classic methods and intelligent methods. In this paper, first the classic methods, including losses model control (LMC), flux control as a function of torque and search control (SC), are discussed. Then the intelligent methods, such as genetic algorithm, PSO, fuzzy logic and artificial neural network are investigated. This paper is presented while the last methods of efficiency improvement are being investigated and each method is described briefly.
Volume: 16
Issue: 3
Page: 1034-1053
Publish at: 2018-06-01

Harmonic Impact in Induction Generator Voltage Using Thyristor Control Reactor

10.12928/telkomnika.v16i3.7788
Suprihardi; Politeknik Negeri Lhokseumawe Suprihardi , Yaman; Politeknik Negeri Lhokseumawe Yaman , Zamzami; Politeknik Negeri Lhokseumawe Zamzami , Nelly; Politeknik Negeri Lhokseumawe Safitri
As commonly known that theload fluctuations that have been performed on an induction motor operated as an induction generator (IG) triggers unstable induced voltage and frequency. Asthe result, the load that receiving the power quality is not running properly and the efficiency is low. The problems that have beenmitigated in this research in such way is the stability of the voltage that generated by IG due to fluctuating loading, and the harmonics can be damped by single tuned due to the work of thyristors and non-linear loads. The used method is the Ziegler-Nichols method by measuring and testing the design of prototype to get the best performance in stabilizing the voltage by using thyristor control reactor (TCR). The results showed that the induced generator with single tuned filter and TCR to nonlinear load variation at 1618 RPM is maintained stably for the voltage and frequency. Although, 3rd order harmonics of voltage and current that has been tuned can be dampedby using THDI 8.36%. Furthermore, it can be said that the response that generated by voltage control system using proportionalintegral (PI) control in 1kW-4 poles three-phase IG with additional and reductionalload generated a stable response.
Volume: 16
Issue: 3
Page: 1054-1060
Publish at: 2018-06-01

Reduced-Reference Video Quality Metric Using Spatial Information in Salient Regions

10.12928/telkomnika.v16i3.9036
Farah Diyana; International Islamic University Malaysia Abdul Rahman , Dimitris; University of Bristol Agrafiotis , Othman O.; International Islamic University Malaysia Khalifa , Fan; University of Bristol Zhang
In multimedia transmission, it is important to rely on an objective quality metric which accurately represents the subjective quality of processed images and video sequences. Maintaining acceptable Quality of Experience in video transmission requires the ability to measure the quality of the video seen at the receiver end. Reduced-reference metrics make use of side-information that is transmitted to the receiver for estimating the quality of the received sequence with low complexity. This attribute enables real-time assessment and visual degradation detection caused by transmission and compression errors. A novel reduced-reference video quality known as the Spatial Information in Salient Regions Reduced Reference Metric is proposed. The approach proposed makes use of spatial activity to estimate the received sequence distortion after concealment. The statistical elements analysed in this work are based on extracted edges and their luminance distributions. Results highlight that the proposed edge dissimilarity measure has a good correlation with DMOS scores from the LIVE Video Database.
Volume: 16
Issue: 3
Page: 965-973
Publish at: 2018-06-01

Multilayer End Coupled Band Pass Filter using Low-Temperature Co-Fired Ceramic Technology for Broadband Fixed Wireless

10.11591/ijeecs.v10.i3.pp980-988
Zulkifli Ambak , Hizamel M. Hizan , Ahmad Ismat Abdul Rahim , Azmi Ibrahim , Mohd Zulfadli M. Yusoff , Razali Ngah
This paper presents design approach for realizing multilayer End Coupled Bandpass Filter (ECBPF) using low temperature co-fired ceramic (LTCC) technology at TMRND's LTCC Lab. Design method for the ECBPF is based on the coupled-resonator filter which was realized in LTCC multilayer substrate and operating at the center frequency of 42GHz. Three samples of EC BPF have been designed, simulated, fabricated and investigated in terms of performance and structure size.This multilayer ECBPF were fabricated in the 8 layers LTCC Ferro A6S materials with dielectric constant of 5.8, loss tangent of 0.002 and metallization of gold. The measured insertion loss for ECBPF was 2.43dB and return loss was 22.81dB at the center frequency at 42GHz. The overall size of the fabricated filter was 6.0 mm x 2.5 mm x 0.77 mm.
Volume: 10
Issue: 3
Page: 980-988
Publish at: 2018-06-01

Artificial Neural Network Model for Affective Environmental Control System in Food SMEs

10.12928/telkomnika.v16i3.7437
Mirwan; Universitas Gadjah Mada Ushada , Tsuyoshi; Ibaraki University Okayama , Atris; Universitas Gadjah Mada Suyantohadi
This paper presents an affective environmental control system for Small and Medium-sized Enterprises (SMEs). The system is proposed as a technology innovation in appropriate information technology. It is defined that workplace environment set points could be controlled using worker workload. The research objectives are: 1) To design an affective environmental control model for SME; 2) To develop an Artificial Neural Network (ANN) model for predicting affective environment set points. The system consisted of 4 sub-systems as measurement, assessment, control and decision. An ANN model is developed for sub-systems of control. Training and validation data are acquired from 4 (four) samples of SME in Yogyakarta Special Region, Indonesia. The model has been developed successfully to predict temperature and light intensity set points using back-propagation supervised learning method. The research results indicated the satisfied performance of ANN with minimum error. ANN model indicated the closeness of R2 value between training and validation data. The research results could be applied to support the worker productivity in food SMEs by providing a comfort workplace environment and optimum worker workload.
Volume: 16
Issue: 3
Page: 1317-1323
Publish at: 2018-06-01

Development of Accurate BSIM4 Noise Parameters for CMOS 0.13-µm Transistors in Below 3-GHz LNA Application

10.11591/ijeecs.v10.i3.pp925-933
Asmaa Nur Aqilah Zainal Badri , Norlaili Mohd Noh , Shukri bin Korakkottil Kunhi Mohd , Asrulnizam Abd Manaf , Arjuna Marzuki , Mohd Tafir Mustaffa , Mohamed Fauzi Packeer Mohamed
Accurate transistor thermal noise model is crucial in IC design as it allows accurate selection of transistors for specific frequency application. The accuracy of the model is represented by the similarity between the simulated and the measured noise parameters (NPs). This work was based on a problem faced by a foundry concerning the dissimilarities between the measured and simulated NPs, especially minimum noise figure (NFmin) for frequencies below 3 GHz.
Volume: 10
Issue: 3
Page: 925-933
Publish at: 2018-06-01

A Review in E-Government Service Quality Measurement

10.11591/ijeecs.v10.i3.pp1257-1265
Wael Jabbar Abed Al-Nidawi , Saba Kamil Jaafar Al-Wassiti , Mahdi Athab Maan , Marini Othman
Governments are responsible for providing services to the public easily, efficiently, therefore they introduced electronic government as a way to minimize costs, enhance services, save time and augment performance and efficacy in the public sector. E-service Quality is one of the critical issues in the failure or success of e-government projects. It promotes the efficiency and effectiveness of governments and the relationships with users and enhances their satisfactions. Measurement of e-service quality is a complex process because it depends on citizens’ perception that is difficult to be realized and measured. This paper aims to review scales measurement of e- government services quality that providing an evaluating scale based on defining the significant e- service quality dimensions. These dimensions cover important e-services requirements to enhance e-service quality.
Volume: 10
Issue: 3
Page: 1257-1265
Publish at: 2018-06-01

Real-time Video Quality Assessment for Analog Television Based on Adaptive Fuzzy Membership Function Tuning

10.12928/telkomnika.v16i3.7161
Herti; Bhayangkara University Miawarni , M. Mahaputra; Bhayangkara University Hidayat , Surya; Institut Teknologi Sepuluh November Sumpeno , Eko; Institut Teknologi Sepuluh November Setijadi
Real-time VQA (Video Quality Assessment) is an important part in the effort to build tracking antenna system especially for analog TV. In this case, VQA must work in real-time to assess the video clarity level. VQA assessment results are valuable information for the decision-making process. Thus, the antenna can rotate automatically looking for the ideal direction without user’s control. In addition, the video clarity level on the TV screen can reach optimum according to the user's wishes. The biggest challenge to VQA is, VQA must be able to assess the video clarity level according to the user’s visual perception. Therefore, in this study, the MOS-VQS (Mean Opinion Score-Video Quality Subjective) was used as a visual perception approach. In addition, Adaptive FIS (Fuzzy Inference System) with membership function tuning was implemented for decision making. This was conducted as an effort to build a reliable real-time VQA. The test results show that real-time VQA that has been built has a good performance. This is shown from the average accuracy percentage of the lowest assessment reached 77.2% and the highest reached 88.2%.
Volume: 16
Issue: 3
Page: 1071-1082
Publish at: 2018-06-01

Qualitative Evaluation of RFID Implementation on Warehouse Management System

10.12928/telkomnika.v16i3.8400
Syafrial Fachri; Politeknik Pos Indonesia Pane , Rolly Maulana; Politeknik Pos Indonesia Awangga , Bayu Rahmad; Politeknik Pos Indonesia Azhari
Logistic sector actors need innovation to improve competitiveness in providing their best services to consumers, one of them on Warehouse Management System (WMS) because the system is used to control the movement of the supply chain. There is a problem in one of Indonesia logistics companies on the process of selecting goods, so the warehouseman still difficulties in this process. Thus, RFID implementation on WMS becomes one of the solutions to handle the goods selection process. This research uses Design Science Research Methodology (DSRM) which focuses on developing and improving the model performance of a system and using waterfall model for system development. Then the authors will analyze the test results with the validity test and reliability test of the questionnaire, and the results of the data analysis will determine the feasibility of this research to be applied.
Volume: 16
Issue: 3
Page: 1303-1308
Publish at: 2018-06-01

An FPGA-based Network Firewall with Expandable Rule Description

10.11591/ijeecs.v10.i3.pp1310-1318
Raya kahtan Mohammed , Yoichiro UENO
With the rapid growth of communications via the Internet, the need for an effective firewall system which has not badly affect the overall network performances has been increased. In this paper, a Field Programmable Gate Array (FPGA) -based firewall system with high performance has been implemented using Network FPGA (NetFPGA) with Xilinx Kintex-7 XC7K325T FPGA. Based on NetFPGA reference router project, a NetFPGA-based firewall system was implemented. The hardware module performs rule matching operation using content addressable memory (CAM) for higher speed data processing. To evaluate system performance, throughput, latency, and memory utilization were measured for different cases using different tools, also the number of rules that an incoming packet is subjected to was varied to get more readings using both software and hardware features. The results showed that the designed firewall system provides better performance than traditional firewalls. System throughput was doubled times of the one with Linux-Iptables firewalls.
Volume: 10
Issue: 3
Page: 1310-1318
Publish at: 2018-06-01
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