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31,456 Article Results

Validity Testing of Technology Acceptance Model Based on Factor Analysis Approach

10.11591/ijeecs.v5.i3.pp697-704
Darmawan Napitupulu , Jimmy Abdel Kadar , Rahmi Kartika Jati
Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the users perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavior. TAM model has been applied widely to evaluate various information systems (IS) or information technology (IT), but it is the lack of research related to the evaluation of the TAM model itself. This study aims to determine whether the model used TAM is still relevant today considering rapid development of information communication technology (ICT). In other words, this study would like to test whether the TAM measurement indicators are valid and can represent each dimension of the model. The method used is quantitative method with factor analysis approach. The results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use. Thus the TAM model is still relevant used to measure the user acceptance of technology.
Volume: 5
Issue: 3
Page: 697-704
Publish at: 2017-03-01

Privacy and Personal Data Protection in Electronic Voting: Factors and Measures

10.12928/telkomnika.v15i1.3804
Muharman; Telkom University Lubis , Mira; International Islamic University Malaysia Kartiwi , Sonny; International Islamic University Malaysia Zulhuda
In general, electronic voting as the technology advancement offers the opportunities to reduce the time and budget of implementation which present the greater advantages than traditional approach. It seeks establish the privacy framework in the context of electronic voting that aligns with the mutual comprehension of relevant factors and measures. The result found that privacy concern and perceived benefit have influenced personal data protection significantly. The success and failure of electronic voting implementation depend on the fulfilment of the voter needs on privacy and personal data protection. 
Volume: 15
Issue: 1
Page: 512-521
Publish at: 2017-03-01

A Low Power, Low Noise Amplifier for Recording Neural Signals

10.11591/ijai.v6.i1.pp18-25
G. Deepika , K.S. Rao
The design of a low power amplifier for recording EEG signals is presented. The low noise design techniques are used in this design to achieve low input referred noise that is near the theoretical limit of any amplifier using a differential pair as input stage. To record the neural spikes or local field potentials (LFP’s) the amplifier’s bandwidth can be adjusted. In order to reject common-mode and power supply noise differential input pair need to be included in the design. The amplifier achieved a gain of 53.7dB with a band width of 0.5Hz to1.1 kHz and input referred noise measured as 357 nVrms operated with a supply voltage of 1.0V. The total power consumed is around 3.19µW. When configured to record neural signals the gain measured is 54.3 dB for a bandwidth of 100 Hz and the input referred noise is 1.04µ Vrms. The amplifier was implemented in 180nm technology and simulated using Cadence Virtuoso.
Volume: 6
Issue: 1
Page: 18-25
Publish at: 2017-03-01

Back-stepping Control of Free-Floating Space Robot based on Adaptive Neural Network

10.12928/telkomnika.v15i1.4588
Wang; Lishui University Cao , Lin; Zhejiang Sikairui Robot Co., LTD Senhai , Ye; Lishui University Xiaoping , Jiang; Lishui University Jie , Zhang; Lishui University Wenhui
Trajectory tracking control problems of the free-floating space robot are considered by the paper, back-stepping control method based on adaptive neural network is put forward. The complex system is decomposed into several simple sub-systems. The control laws are designed by derived, so that closed-loop stability can be obtained by each subsystem; Because of the influence of interference and the measurement level limitation, accurate mathematical model is difficult to be obtained. Neural network controller of good nonlinear approximation ability is designed to compensate the uncertainty of system model. Adaptive learning laws are designed to ensure that weights can be adjusted online real-time. The system uniformly ultimately bounded (UUB) is proved based on the Lyapunov theory. Simulation experiments show that the control method can fast track the desired trajectory, and has a good application value for space robotic manipulators with uncertainty.
Volume: 15
Issue: 1
Page: 18-27
Publish at: 2017-03-01

Human Re-identification with Global and Local Siamese Convolution Neural Network

10.12928/telkomnika.v15i2.6121
K.; Universiti Teknologi Malaysia B. Low , U.; Universiti Teknologi Malaysia U. Sheikh
Human re-identification is an important task in surveillance system to determine whether the same human re-appears in multiple cameras with disjoint views. Mostly, appearance based approaches are used to perform human re-identification task because they are less constrained than biometric based approaches. Most of the research works apply hand-crafted feature extractors and then simple matching methods are used. However, designing a robust and stable feature requires expert knowledge and takes time to tune the features. In this paper, we propose a global and local structure of Siamese Convolution Neural Network which automatically extracts features from input images to perform human re-identification task. Besides, most of the current human re-identification task in single-shot approaches do not consider occlusion issue due to lack of tracking information. Therefore, we apply a decision fusion technique to combine global and local features for occlusion cases in single-shot approaches.
Volume: 15
Issue: 2
Page: 726-732
Publish at: 2017-03-01

Compact Wideband Broadside-Coupled Microstrip-Slot Bandpass Filter for Communication Applications

10.11591/ijeecs.v5.i3.pp650-655
Norhudah Seman , Dyg Norkhairunisa Abang Zaidel , Zuhaili Amalina Abd. Wahid , Nor Azimah Mohd Shukor , Tharek Abd Rahman
This paper proposes a compact size design of wideband bandpass filter (BPF). The broad-side coupling microstrip-slot technique is used to accomplish a good passband response with very low insertion loss across a wideband frequency range. The BPF that is designed using Rogers RO4003C substrate shows a good performance with the respective maximum reflection coefficient and insertion loss of -10 dB and 1.2 dB between 0.92 GHz and 5 GHz. This type of BPF filter is useful in any communication applications.
Volume: 5
Issue: 3
Page: 650-655
Publish at: 2017-03-01

Local Model Checking Algorithm Based on Mu-calculus with Partial Orders

10.12928/telkomnika.v15i1.3546
Hua; Minnan Normal University Jiang , Qianli; Minnan Normal University Li , Rongde; Huaqiao university Lin
The propositionalμ-calculus can be divided into two categories, global model checking algorithm and local model checking algorithm. Both of them aim at reducing time complexity and space complexity effectively. This paper analyzes the computing process of alternating fixpoint nested in detail and designs an efficient local model checking algorithm based on the propositional μ-calculus by a group of partial ordered relation, and its time complexity is O(d2(dn)d/2+2) (d is the depth of fixpoint nesting,  is the maximum of number of nodes), space complexity is O(d(dn)d/2). As far as we know, up till now, the best local model checking algorithm whose index of time complexity is d. In this paper, the index for time complexity of this algorithm is reduced from d to d/2. It is more efficient than algorithms of previous research.
Volume: 15
Issue: 1
Page: 421-429
Publish at: 2017-03-01

High throughput FPGA Implementation of Advanced Encryption Standard Algorithm

10.12928/telkomnika.v15i1.4713
Soufiane; Materials and Instrumentation (MIN), High School of Technology, Moulay Ismail University, Meknes, Morocco. Oukili , Seddik; Materials and Instrumentation (MIN), High School of Technology, Moulay Ismail University, Meknes, Morocco. Bri
 The growth of computer systems and electronic communications and transactions has meant that the need for effective security and reliability of data communication, processing and storage is more important than ever. In this context, cryptography is a high priority research area in engineering. The Advanced Encryption Standard (AES) is a symmetric-key criptographic algorithm for protecting sensitive information and is one of the most widely secure and used algorithm today. High-throughput, low power and compactness have always been topic of interest for implementing this type of algorithm. In this paper, we are interested on the development of high throughput architecture and implementation of AES algorithm, using the least amount of hardware possible. We have adopted a pipeline approach in order to reduce the critical path and achieve competitive performances in terms of throughput and efficiency. This approach is effectively tested on the AES S-Box substitution. The latter is a complex transformation and the key point to improve architecture performances. Considering the high delay and hardware required for this transformation, we proposed 7-stage pipelined S-box by using composite field in order to deal with the critical path and the occupied area resources. In addition, efficient AES key expansion architecture suitable for our proposed pipelined AES is presented. The implementation had been successfully done on Virtex-5 XC5VLX85 and Virtex-6 XC6VLX75T Field Programmable Gate Array (FPGA) devices using Xilinx ISE v14.7. Our AES design achieved a data encryption rate of 108.69 Gbps and used only 6361 slices ressource. Compared to the best previous work, this implementation improves data throughput by 5.6% and reduces the used slices to 77.69%.
Volume: 15
Issue: 1
Page: 494-503
Publish at: 2017-03-01

Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS Chip

10.12928/telkomnika.v15i2.6131
Jun; Ritsumeikan University Eguchi , Katsuyuki; Ritsumeikan University Yamaoka , Shigeyasu; Ritsumeikan University Uno
This paper described the new system of biosensing using CMOS chip. The system was expected to be used in various circumstances because it was suitable for miniaturization compared to the conventional system. To conduct electrochemical measurements, the new system used paper fluidic channel set on the CMOS chip to transport solution to the on-chip electrodes. The materials of paper fluidic channel were only paper and silicone resin, and these were biocompatible. In experiment, we carried out simultaneous detection of glucose and ethanol in liquid sample solutions on the 5mm square CMOS chip and paper fluidic channel. Furthermore, this system can detect various target molecules in addition to glucose and ethanol, and increase number of simultaneous measurement by adding some more process to the paper and CMOS chip. 
Volume: 15
Issue: 2
Page: 847-852
Publish at: 2017-03-01

Flower Pollination for Rotary Inverted Pendulum Stabilization with Delay

10.12928/telkomnika.v15i1.3403
Srikanth; Gayatri Vidya Parishad College of Engineering Kavirayani , Nagesh Kumar; GITAM University Gundavarapu
Flower pollination is a single objective optimization technique which as a unconstrained optimization method is applied for the stabilization of the rotary inverted pendulum system. It was observed that the flower pollination method gave better sensitivity in control of the pendulum about its upright unstable equilibrium position with less time and definitely indicated that the method is an energy efficient method when compared with other methods like direct pole placement.  This method yielded results under the influence of time delay and have proven that the influence of time delay is significantly felt and would cause loss of energy, however the presence of flower pollination for optimization minimizes the loss incurred due to time delay and makes the system significant in terms of sensitivity.
Volume: 15
Issue: 1
Page: 245-253
Publish at: 2017-03-01

Research on VoIP Acoustic Echo Cancelation Algorithm Based on Speex

10.12928/telkomnika.v15i1.4053
Liu; School of Electrical Engineering, Dongguan University of Technology,Dongguan, 523808, China hua-zhu , Zhao; School of Electrical Engineering, Dongguan University of Technology,Dongguan, 523808, China, xiao-fang , Lin; School of Electrical Engineering, Dongguan University of Technology, Dongguan, 523808, China sheng-xin
Echo cancellation has been a major problem to be solved in VoIP, although the integrated echo cancellation module in Speex, it does not consider thread synchronization issues. The frequency domain echo cancellation algorithm MDF of speex is analyzed, and then a synchronization method of playing thread and recording thread is proposed. The results show that the acoustic echo canceller which achieved by the proposed method meet the requirements of voice communication, implementation is easier and therefore provides a reference for the VoIP voice communication and mobile communication terminal.
Volume: 15
Issue: 1
Page: 172-178
Publish at: 2017-03-01

Estimation of pH and MLSS using Neural Network

10.12928/telkomnika.v15i2.6144
Nur; Universiti Teknologi Malaysia Sakinah Ahmad Yasmin , Muhammad; Kano University of Science & Technology Sani Gaya , Norhaliza; Universiti Teknologi Malaysia Abdul Wahab , Yahaya; Universiti Teknologi Malaysia Md Sam
The main challenges to achieving a reliable model which can predict well the process are the nonlinearities associated with many biological and biochemical processes in the system. Artificial intelligent approaches revolved as better alternative in predicting the system. Typical measured variables for effluent quality of wastewater treatment plant are pH, and mixed liquor suspended solids (MLSS). This paper presents an adaptive neuro-fuzzy inference system (ANFIS) and feed-forward neural network (FFNN) modeling applied to the domestic plant of the Bunus regional sewage treatment plant. ANFIS and feed- forward neural network techniques as nonlinear function approximators have demonstrated the capability of predicting nonlinear behaviour of the system. The data for the period of two years and nine months sampled weekly (140 week samples) were collected and used for this study. Simulation studies showed that the prediction capability of the ANFIS model is somehow better than that of the FFNN model. The ANFIS model may serves as a valuable prediction tool for the plant.
Volume: 15
Issue: 2
Page: 912-918
Publish at: 2017-03-01

An Accurate Classification Method of Harmonic Signals in Power Distribution System by Utilising S-Transform

10.12928/telkomnika.v15i1.3119
M. Hatta; Universiti Teknikal Malaysia Melaka Jopri , A. Rahim; Universiti Teknikal Malaysia Melaka Abdullah , Mustafa; Universiti Teknikal Malaysia Melaka Manap , M. Faiz; Universiti Teknikal Malaysia Melaka Habban , Tole; Universitas Ahmad Dahlan Sutikno
This paper presents an accurate classification method of harmonic signal in power distribution system by using S-transform (ST).  ST has a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The spectral parameters are estimated from TFR in order to identify the characteristics and to classify the harmonic signals. The classification of harmonic signals with the utilization of pattern recognition approach which is rule-based classifier of 100 unique signals is according to the IEEE standard 519:2014. The accuracy of the proposed method is determined by using MAPE and the results proved that the method provides high accuracy of harmonic signal classification. Additionally, S-transform also gives 100 percent correct classification of harmonic signals. It is proven that the proposed method is accurate in detecting and classifying harmonic signals in the distribution system. 
Volume: 15
Issue: 1
Page: 62-70
Publish at: 2017-03-01

A Novel Clustering Tree-based Video lookup Strategy for Supporting VCR-like Operations in MANETs

10.12928/telkomnika.v15i1.3584
Shijie; Luoyang Normal University Jia , Ye; Luoyang Normal University Guo , Youzhong; Luoyang Normal University Ma , Chunlin; Luoyang Normal University Kuang , Guofang; Luoyang Normal University Kuang
Mobile Peer-to-Peer (MP2P) network is a promising avenue for large-scale deployment of Video-on-Demand (VoD) applications over mobile ad-hoc networks (MANETs). In P2P VoD systems, fast search for resources is key determinants for improving the Quality of Service (QoS) due to the low delay of seeking resources caused by streaming interactivity. In this paper, we propose a novel Clustering Tree-based Video Lookup strategy for supporting VCR-like operations in MANETs (CTVL) CTVL selects the chunks with the high popularity as "overlay router" chunks to build the "virtual connection" with other chunks in terms of the popularities and external connection of video chunks. CTVL designs a new clustering strategy to group nodes in P2P networks and a maintenance mechanism of cluster structure, which achieves the high system scalability and fast resource search performance. Thorough simulation results also show how CTVL achieves higher average lookup success rate, lower maintenance cost, lower average end-to-end delay and lower packet loss ratio (PLR) in comparison with other state of the art solutions.
Volume: 15
Issue: 1
Page: 156-164
Publish at: 2017-03-01

Conductive and Inductive Coupling between Faulted Power Lines and Buried Pipeline by Considering the Effect of Soil Structure

10.11591/ijeecs.v5.i3.pp656-660
Ali I. El Gayar , Zulkurnain Abdul-Malek , Mohammed Imran M , Chin Leong Wooi , Ibtihal Fawzi Elshami
The AC total interference of faulted power lines to gas pipelines sharing the same right of way, which may pose a threat to operating personnel and equipment, was studied. The main advantage of this work is to determine the effects of different soil structures on the induced voltage for various soil resistivities. Two main approaches were used to compute the induced voltages, namely the method of moment (MOM), which is based on electromagnetic field theory, and the circuit based method, which uses the circuit grounding analysis to compute the conductive interference and the circuit based models to compute the inductive interference. A 10-km-long parallel pipeline-transmission line model was developed. The soil resistivity was varied, and the induced voltages obtained from both approaches were compared. Soil resistivity and soil structure are important parameters that affect the AC interference level. The results of the study show that the earth potentials and the metal GPRS are independent. Higher soil resistivity causes the tower ground resistance to increase, thus making the shield wire’s attractiveness as a fault current return path to increase, which in turn forces the induced net EMF and the cumulative GPR in the pipeline to reduce.
Volume: 5
Issue: 3
Page: 656-660
Publish at: 2017-03-01
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