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28,188 Article Results

Internet Access Using Ethernet over PDH Technology for Remote Area

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4213
Enceng Sulaeman , Tris sutrisno
There was still is gap among people living in city and in remote area to get information access, especially who lived in the Eastern part of Indonesia. People living in such remote area usually were isolated from town by natural condition like rivers, valleys, hills and so on.. Therefore, telecommunication  infrastructure for remote area using cooper was not effective and efficient way to build. The issue was how  information and communication technology could penetrate such areas. This research aimed to propose technology that could be implemented to overcome the difficulties. Ethernet over Plesiochronous Digital Hierarchy (EoPDH) was one of many techniques that provided Ethernet connectivity over non-Ethernet networks.  EoPDH was a standardized methodology for transporting native Ethernet frames over the existing established PDH transport technology.  To provide last milefor the local people, use of Mesh Wireless Local Area Network was made and connected to internet gateway via Ethernet over PDH based microwave radio link. The test showed that The Ethernet frames were successfully transported to remote area with good quality of service such as throughput, response time, and transaction rate. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7036 
Volume: 13
Issue: 2
Page: 352-359
Publish at: 2015-02-01

An Improved Design of Linear Congruential Generator based on Wordlengths Reduction Technique into FPGA

10.11591/ijece.v5i1.pp55-63
Hubbul Walidainy , Zulfikar Zulfikar
This paper exposes an improved design of linear congruential generator (LCG) based on wordlengths reduction technique into FPGA. The circuit is derived from LCG algorithm proposed by Lehmer and the previous design. The wordlengths reduction technique has been developed more in order to simplify further circuit. The proposed design based on the fact that in applications only specific input data were used. Some nets connections between blocks of the circuit are ignored or truncated. Simulations either behavior or timing have been done and the results is similar to its algorithm. Four best Xilinx chips have been chosen to extract comparison data of speed and occupied area. Further comparison of occupied area in terms of flip-flop and full adder has been made. In general, the proposed design overcome the previous published LCG circuit.
Volume: 5
Issue: 1
Page: 55-63
Publish at: 2015-02-01

Experimental Dielectric Measurements for Cost-fewer Polyvinyl Chloride Nanocomposites

10.11591/ijece.v5i1.pp13-22
Ahmed Thabet , Youssef Mobarak
Polymer nanocomposites possess promising high performances as engineering materials, if they are prepared and fabricated properly. In this research, it has been processed samples of nanocomposite polymers as electrical insulating materials for application on the electric power cables by using the latest techniques of nanotechnology. This paper has been investigated enhanced dielectric and electrical properties of Polyvinyl chloride PVC as matrix have shown that trapping properties are highly modified by the presence of costless nanofillers clay and fumed silica. An experimental work for dielectric loss and capacitance of the new nanocomposite materials have been investigated and compared with unfilled industrial materials. It is found that a good correlation exists in respect of capacitance and dielectric loss values measured with percentage of nanofillers. Thus, it has been investigated the influence of costless nanofillers material and its concentration on dielectric properties of industrial polymers-based composite systems. A comparative study is performed between the unfilled base polymers, the systems containing one type of nanoparticles clay or fumed silica inside the host polymer with various concentrations.
Volume: 5
Issue: 1
Page: 13-22
Publish at: 2015-02-01

Left and Right Hand Movements EEG Signals Classification Using Wavelet Transform and Probabilistic Neural Network

10.11591/ijece.v5i1.pp92-101
A. B. M. Aowlad Hossain , Md. Wasiur Rahman , Manjurul Ahsan Riheen
Electroencephalogram (EEG) signals have great importance in the area of brain-computer interface (BCI) which has diverse applications ranging from medicine to entertainment. BCI acquires brain signals, extracts informative features and generates control signals from the knowledge of these features for functioning of external devices. The objective of this work is twofold. Firstly, to extract suitable features related to hand movements and secondly, to discriminate the left and right hand movements signals finding effective classifier. This work is a continuation of our previous study where beta band was found compatible for hand movement analysis. The discrete wavelet transform (DWT) has been used to separate beta band of the EEG signal in order to extract features.  The performance of a probabilistic neural network (PNN) is investigated to find better classifier of left and right hand movements EEG signals and compared with classical back propagation based neural network. The obtained results shows that PNN (99.1%) has better classification rate than the BP (88.9%). The results of this study are expected to be helpful in brain computer interfacing for hand movements related bio-rehabilitation applications.
Volume: 5
Issue: 1
Page: 92-101
Publish at: 2015-02-01

Optimal Disturbance Rejection Control of Underactuated Autonomous Underwater in Vertical Plane

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4180
Yang Qing , Gao De-xin
To realize the optimal control of underactuated autonomous underwater vehicle (AUV) in vehicle plane with external disturbances, a optimal disturbance rejection controller is proposed with respect to the quadratic performance indexes. Firstly, the depth control model of underactuated AUV system and the wave model is proposed; Then based on the theory of the quadratic optimal control and stability degree constraint, a feedforward and feedback optimal disturbance rejection control law with a higher mean-square convergence rate is derived from the Riccati equation and the Sylvester equation, which can reject the disturbance influence to AUV. Finally, the controller is applied to the dive plane control of AUV with wave force disturbances, and the results demonstrate the effectiveness and robustness of the controller. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6889 
Volume: 13
Issue: 1
Page: 91-100
Publish at: 2015-01-01

Two regional power system PSO PID Control Research

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4174
Jingfang Wang
In this paper, we propose a PID parameter tuning of particle swarm optimization for multi-objective optimization characteristics of two regional power system PID controller design.  By defining a comprehensive consideration of system output overshoot, rise time and the fitness function term steady-state error indicators, such as the ITAE, and in accordance with the performance requirements of the actual control system, appropriate weighting of each index item. Use with base and improved particle swarm algorithm for multi-objective optimization PID. PSO optimization algorithm has good global search ability and high convergence rate. You can respond to the PID controller tuning parameters directly from the output of the PID control system easily balance between speed and stability control systems. After using PSO-PID control in two regional power system ，the amount of overshoot in the step total response downs from 65% to 5%. Adjust time  downs from 12 seconds to 3 seconds.  DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6835 
Volume: 13
Issue: 1
Page: 33-41
Publish at: 2015-01-01

An Abnormal Signal Diagnostic Emendation Technique Research

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4181
Tiejun Cao
This paper introduced a sort of abnormity data method. We start with analysing an example first and carry through theory deducing once more and list this method arithmetic step and application field finally. With the development information and control technology, we need more and more important and imminent to diagnose abnormity data and eliminate them. The quality of measuring data is improved availably by the application of data emendation technique. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6695 
Volume: 13
Issue: 1
Page: 101-105
Publish at: 2015-01-01

Modelling and Simulation of Tidal Current Turbine with Permanent Magnet Synchronous Generator

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4176
Marwa Elzalabani , Faten H.Fahmy , Abd El-Shafy A. Nafeh , Gaber Allam
This paper explain the creation of a Matlab-Simulink model for a tidal current turbine system through the modeling of the source, the rotor, drive train and the generator. The aim of the simulation model is to illustrate how the tidal current energy system works and how to make use of it in power generation. Harnessing tidal currents power done through various types of water current turbines. Owing to its advantages in producing power from tidal currents, OpenHydro tidal current turbine will be used in this work. With its Permanent magnet synchronous generator (PMSG) that is suitable for low tidal current speeds and no need for gearbox. The rotational motion of the turbine rotor is transferred to the electrical generator by means of a mechanical transmission system called drive train. MATLAB/SIMULINK interface has been examined and the maximum electrical power extraction within the allowable range of tidal currents can be achieved if the controller can properly follow the optimum curve with any water current speed change. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.7017
Volume: 13
Issue: 1
Page: 57-64
Publish at: 2015-01-01

Food Traceability in Supply Chain Based on EPCIS Standard and RFID Technology

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4192
Evizal Abdul Kadir , Siti Mariyam Shamsuddin , Eko Supriyanto , Wahyudi Sutopo , Sri Listia Rosa
The growth of retailer lately very significant especially in food product, selling of food product is not only in conventional market but moreover now is in such mini market, mall, shopping complex, etc. Food traceability is required in supply of food product to make sure items are safe to consume and not in expired date. This paper present on food traceability in supply chain based on Electronic Product Code Information Services (EPCIS), the use of EPCIS standard is refer to Global Standard-1 (GS1) for logistic and supply chain based on Radio Frequency Identification (RFID) Technology. RFID is used for items tagging on food product instead of barcode that currently widely used the advantages of RFID tag compare than barcode make the system is more applicable to used in food traceability. In this case one of food product take into example in supplying which is banana that the process started from farmer until reach to retail house are monitored and recorded by the system. End process of this system is to give services to the consumer of customer based on EPCIS database collected in all the way of process. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6919
Volume: 13
Issue: 1
Page: 187-194
Publish at: 2015-01-01

Improvement of Fuzzy Based Practical Controller for Continuous Motion Control

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4183
Purtojo Purtojo , Heru S. B. Rochardjo , Gesang Nugroho , Herianto Herianto
This article presents a development of a fuzzy based nominal characteristic trajectory following (NCTF) controller for continuous motion control. A new structure is proposed in order to achieve excellent performance of tracking to a continuous reference input and also for point-to-point positioning task. The proposed structure maintains the NCTF controller simple configuration which is composed of a nominal characteristic trajectory (NCT) and a compensator. The compensator is based on a Mamdani type fuzzy controller. Its membership functions are designed according to the available information provided by NCT and the hardware specification. Controller performance was evaluated through simulation by comparing it with the existing method previously proposed for the fuzzy based NCTF controller. The tracking performance was evaluated by measuring responses of the system providing continuous sinusoidal signal input. The result indicates that substantial improvement is achieved in tracking of continuous reference inputs. Moreover, a better result is also obtained in performing point-to-point positioning task.DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.7008
Volume: 13
Issue: 1
Page: 114-123
Publish at: 2015-01-01

Nonlinear Equations Solving Base on Immune Genetic Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4190
Peng Qiong
A steam conversion of hydrocarbon mass balance of the nonlinear equations of the immune genetic algorithm method is researched in this paper. The nonlinear equations is transformed into nonlinear optimization problems; Tthe transformation process and implementation are discussed, this method is used to quickly and easily obtain the effective solution of the production technology. The production process used to solve practical problems, optimize production, increase economic efficiency. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6825 
Volume: 13
Issue: 1
Page: 174-179
Publish at: 2015-01-01

A Decoupling Structure of Controllable Reactor of Transformer Type

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4172
Yu He , Huatai Chen
In order to make controllable reactor of transformer type (CRT) working of safety, reliable and compensation effect is obvious, the principle of “high impedance, weak coupling” must be satisfied in the design of CRT structure. The magnetic integration technology used in the design of the ontology of CRT in this paper, a decoupling integrated core structure is proposed. This paper also calculates the leakage reactance and current of decoupling structure. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6724 
Volume: 13
Issue: 1
Page: 20-25
Publish at: 2015-01-01

Adaptive System Identification using Markov Chain Monte Carlo

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4184
Muhammad Ali Raza Anjum
One of the major problems in adaptive filtering is the problem of system identification. It has been studied extensively due to its immense practical importance in a variety of fields. The underlying goal is to identify the impulse response of an unknown system. This is accomplished by placing a known system in parallel and feeding both systems with the same input. Due to initial disparity in their impulse responses, an error is generated between their outputs. This error is set to tune the impulse response of known system in a way that every change in impulse response reduces the magnitude of prospective error. This process is repeated until the error becomes negligible and the responses of both systems match. To specifically minimize the error, numerous adaptive algorithms are available. They are noteworthy either for their low computational complexity or high convergence speed. Recently, a method, known as Markov Chain Monte Carlo (MCMC), has gained much attention due to its remarkably low computational complexity. But despite this colossal advantage, properties of MCMC method have not been investigated for adaptive system identification problem. This article bridges this gap by providing a complete treatment of MCMC method in the aforementioned context. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6925 
Volume: 13
Issue: 1
Page: 124-136
Publish at: 2015-01-01

A Breeding Estimated Particle Filter Research

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4186
Xiong Fang
As the normal particle filter has an expensive computation and degeneracy problem, a propagation-prediction particle filter is proposed. In this scheme, particles after transfer are propagated under the distribution of state noise, and then the produced filial particles are used to predict the corresponding parent particle referring to measurement, in which step the newest measure information is added into estimation. Therefore predicted particle would be closer to the true state, which improves the precision of particle filter. Experiment results have proved the efficiency of the algorithm and the great predominance in little particles case. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6712 
Volume: 13
Issue: 1
Page: 145-150
Publish at: 2015-01-01

Voice Activity Robust Detection of Noisy Speech in Toeplitz

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4185
Jingfang Wang
A Toeplitz de-noising method using the maximum eigenvalue is proposed for the voice activity detection at low SNR scenarios. This method uses the self-correlation sequence of speech bandwidth spectrum to construct a new symmetric Toeplitz matrix and to compute the largest eigenvalue, and the double decision thresholds in the largest eigenvalue are applied in the decision framewok. Simulation results show that the presented algorithm is more effective in distinguishing speech from noise and has better robustness under various noisy environments. Compared with novel method of recurrence rate analysis, this algorithm shows lower wrong decision rate. The algorithm is of low computational complexity and is simple in real-time realization． DOI:  http://dx.doi.org/10.11591/telkomnika.v13i1.6902 
Volume: 13
Issue: 1
Page: 137-144
Publish at: 2015-01-01
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