TELKOMNIKA (Telecommunication Computing Electronics and Control)
Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of submissions that TELKOMNIKA has received during the last few months the duration of the review process can be up to 14 weeks. Communication Engineering, Computer Network and System Engineering, Computer Science and Information System, Machine Learning, AI and Soft Computing, Signal, Image and Video Processing, Electronics Engineering, Electrical Power Engineering, Power Electronics and Drives, Instrumentation and Control Engineering, Internet of Things (IoT)
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Unbalanced Active Distribution Analysis with Renewable Distributed Energy Resources
Syafii Syafii;
K. M. Nor
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.960
This paper presents unbalanced active distribution system analysis with renewable distributed Energy Resources (DER). The renewable DER models have been considered are photovoltaic (PV) and Wind Turbine generation (WTG). The three-phase distribution load flow on the basis of the symmetrical components have been used in the analysis. The unbalanced active distribution system has been analized using IEEE 13 node feeder and IEEE 8500 node feeder with renewable DER units. The variation of wind speed (m/s) for WTG, solar radiation (W/m²) and temperature (°C) for PV have been simulated. The simulation results show that the proposed DER model can be used to analysis renewable DER impacts in unbalanced distribution system. The integration of renewable DER units into an existing distribution network can improve the voltage profile and reduce total system losses. The simulation results show that DERs size and location are important factors to improve voltage profile and line loss reduction.
Overtaking Assistant System Based on Fuzzy Logic
Noor Cholis Basjaruddin;
Kuspriyanto Kuspriyanto;
Didin Saefudin;
Edi Rakhman;
Adin Mochammad Ramadlan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.499
Safety and comfort are two important aspects which must be achieved at the time of driving.The level of safety in driving can be improved by reducing driver (human) error. An auxiliary device is required by the driver to avoid an accident. Advanced Driver Assistance Systems (ADASs) are systems to help the driver in the driving process. Overtaking Assistance System (OAS) is the subsystem of ADAS that functions to assist the driver in overtaking process. This paper presents decision-making system based on fuzzy logic for OAS. Inputs of decision-making system are the distance of ego vehicle and a vehicle that will be overtake as well as the distance ego vehicle and the vehicle on the other lane. Decisions of a decision-making system are vehicle doing approaching, tailgating, and overtaking. The result from hardware simulation that using remote control car shows that the decision-making system algorithm can work according to the design.
An Image Compression Scheme Based on Fuzzy Neural Network
Bo Wang;
Yubin Gao
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.1270
Image compression technology is to compress the redundancy between the pixels to reduce the transmission broadband and storage space by using the correlation of the image pixels. Fuzzy neural network effectively integrates neural network technology and fuzzy technology; combines learning, self-adaptivity, imagination and identity and uses rule-based reasoning and fuzzy information processing in the nodes; thus greatly improving the transparency of fuzzy neural network. This paper mainly investigates the applications of fuzzy neural network in image compression and realizes the image compression and reconstruction of fuzzy neural network. It is demonstrated in the simulation experiment that the image compression algorithm based on fuzzy neural network has significant advantages in training speed, compression quality and robustness.
Lip Motion Pattern Recognition for Indonesian Syllable Pronunciation Utilizing Hidden Markov Model Method
Balza Achmad;
Faridah Faridah;
Laras Fadillah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.1302
A speech therapeutic tool had been developed to help Indonesian deaf kids learn how to pronounce words correctly. The applied technique utilized lip movement frames captured by a camera and inputted them in to a pattern recognition module which can differentiate between different vowel phonemes pronunciation in Indonesian language. In this paper, we used one dimensional Hidden Markov Model (HMM) method for pattern recognition module. The feature used for the training and test data were composed of six key-points of 20 sequential frames representing certain phonemes. Seventeen Indonesian phonemes were chosen from the words usually used by deaf kid special school teachers for speech therapy. The results showed that the recognition rates varied on different phonemes articulation, ie. 78% for bilabial/palatal phonemes and 63% for palatal only phonemes. The condition of the lips also had effect on the result, where female with red lips has 0.77 correlation coefficient, compare to 0.68 for pale lips and 0.38 for male with mustaches.
Variable Step Size Perturb and Observe MPPT for PV Solar Applications
Awang Bin Jusoh;
Omer Jamal Eldin Ibrahim Mohammed;
Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.1180
In order to deliver maximum output of photovoltaic (PV) cells, the usage of maximum power point tracking (MPPT) is essential. The speed and stability of the tracking technique are highly desired. Perturb and Observe (P&O) is one of the most common tracking techniques, but it suffers from the slow tracking speed at small duty cycle step and fluctuates when subjected with large duty step, which results in higher losses under dynamic weather to which the photovoltaic (PV) cells exposed. In this paper, variable step size Perturb and Observe is introduced throughout Matlab/Simulink simulation to overcome this problem to achieve higher efficiency, reliable tracking accuracy and higher speed under fast changing weather. In comparison with other variable P&O techniques, the proposed method features a dynamic step size for more tracking efficiency and accuracy. Double diode modelling is used in this technique for better photovoltaic (PV) cell’s characteristic prediction. In this study, the adapted technique had been tested to wide range of sun irradiance and operation temperatures.
Saron Music Transcription Based on Rhythmic Information using HMM on Gamelan Orchestra
Yoyon K Suprapto;
Yosefine Triwidyastuti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.295
Nowadays, eastern music exploration is needed to raise his popularity that has been abandoned by the people, especially the younger generation. Onset detection in Gamelan music signals are needed to help beginners follow the beats and the notation. We propose a Hidden Markov Model (HMM) method for detecting the onset of each event in the saron sound. F-measure of average the onset detection was analyzed to generate notations. The experiment demonstrates 97.83% F-measure of music transcription.
Quantum Particle Swarm Optimization Algorithm Based on Dynamic Adaptive Search Strategy
Jing Huo;
Xiaoshu Ma
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.1266
The particle swarm system simulates the evolution of the social mechanism. In this system, the individual particle representing the potential solution flies in the multidimensional space in order to find the better or the optimal solution. But because of the search path and limited speed, it's hard to avoid local best and the premature phenomenon occurs easily. Based on the uncertain principle of the quantum mechanics, the global search ability of the quantum particle swarm optimization (QPSO) algorithms are better than the particle swarm optimization algorithm (PSO). On the basis of the fundamental quantum PSO algorithm, this article introduces the grouping optimization strategy, and meanwhile adopts the dynamic adjustment, quantum mutation and possibility acceptance criteria to improve the global search capability of the algorithm and avoid premature convergence phenomenon. By optimizing the test functions, the experimental simulation shows that the proposed algorithm has better global convergence and search ability.
Characteristics Analysis of Non-linear Torsional Vibration in Engine and Generator Shafting system
Wei Zhang;
Wenming Zhang;
Xuan Zhao;
Miaomiao Guo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.129
To solve the non-linear torsional vibration problem of engine and generator shafting causing body structural vibration and noise in motorized wheel vehicle, where the engine and the generator connected directly. First of all, analysis the characteristics of the shafting system, besides the external shock excitation of engine and generator. Then, through lumped parameter model method, mathematical model of the non-linear torsional vibration was established, which could reflect the dynamic characteristics of the system. Analysis the effect of mechanical parameters and electromagnetic parameters on the shafting. And get the non-linear differential equations of the system torsional vibration, which expresses the relation between structural parameters, electromagnetic parameters and the system dynamic characteristics. And multiple scales method was used to solve the equations. Non-contact measurement method was used in the torsional vibration test. Finally, consistency of the results, indicate that the research method used is reliability and accuracy, and get the critical speed of the shafting torsional vibration.
Internet Pricing on Bandwidth Function Diminished With Increasing Bandwidth Utility Function
Indrawati Indrawati;
Irmeilyana Irmeilyana;
Fitri Maya Puspita;
Oky Sanjaya
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.117
In this paper we analyze the internet pricing schemes based on bandwidth function diminished with increasing bandwidth utility function with 3 pricing strategies for homogeneous and heterogeneous consumer. The new proposed pricing schemes with this utility function will give the information to the internet service providers (ISP) in maximizing profits and provide better service quality for users. The Models on every type of consumer are applied to the data traffic in Palembang local server. LINGO 11.0 is used to compute the nonlinear programming problem to get the optimal solution. The results showed that for each case based on 3-pricing scheme, ISPs get better profit by choosing all three schemes in consumers type of homogenous case while for heterogeneous cases on willingness to pay and based on demand of the consumers, ISPs can select flat fee scheme to gain higher profit rather than those two other schemes.
Grid Based Cluster Head Selection Mechanism for Wireless sensor network
Khalid Haseeb;
Kamalrulnizam Abu Bakar;
Abdul Hanan Abdullah;
Adnan Ahmed
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v13i1.1190
Wireless sensor network (WSN) consists of hundred to thousands sensor nodes to gathered the information from physical environment. Different clustering based algorithms have been proposed to improve network lifetime and energy efficiency. Practically it is not feasible to recharge the battery of sensor nodes when they are sensing the data. In such situation energy is crucial resource and it should be improved for life span of WSN. Cluster head (CH) has an important role in hierarchical energy efficient routing protocols because it receives data from nodes and sends towards base station (BS) or sink node. This paper presents a grid based cluster head selection (GBCHS) mechanism by dividing the network field into MXN uniform size partitions that aims to minimize the energy dissipation of sensor nodes and enhancing network lifetime. Simulation experiments have been performed in network simulator (NS2) that show our proposed GBCHS approach outperformed than standard clustering hierarchy LEACH protocol.