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28,188 Article Results

Offline Signature Recognition using Back Propagation Neural Network

10.11591/ijeecs.v4.i3.pp678-683
Asyrofa Rahmi , Vivi Nur Wijayaningrum , Wayan Firdaus Mahmudy , Andi Maulidinnawati A. K. Parewe
The signature recognition is a difficult process as it requires several phases. A failure in a phase will significantly reduce the recognition accuracy. Artificial Neural Network (ANN) believed to be used to assist in the recognition or classification of the signature. In this study, the ANN algorithm used is Back Propagation. A mechanism to adaptively adjust the learning rate is developed to improve the system accuracy. The purpose of this study is to conduct the recognition of a number of signatures so that can be known whether the recognition which is done by using the Back Propagation is appropriate or not. The testing results performed by using learning rate of 0.64, the number of iterations is 100, and produces an accuracy value of 63%.
Volume: 4
Issue: 3
Page: 678-683
Publish at: 2016-12-01

Wireless Body Area Networks Routing Protocols: A Review

10.11591/ijeecs.v4.i3.pp594-604
Khalid Awan , Kashif Naseer Qureshi , Mehwish Mehwish
Wireless Body Area Networks (WBANs) are designed for monitoring the patient’s conditions and assist them in critical health situation. Tiny size wireless sensors sense the data related to patient health. Further, the sensed data sends to base station for further process. The base station sends the data to the nearest sink node or to the nearest medical center or hospital. In order to complete this entire process, wireless sensors need efficient routing without any error or delay. The routing protocols have been suffered with various challenges and issues which are related to the routing and energy issues. This paper provides a comprehensive survey of important existing routing protocols for WBANs. Paper also discusses the protocols strengths, limitations with their critical analysis.
Volume: 4
Issue: 3
Page: 594-604
Publish at: 2016-12-01

Audio Spike Detection on Gamelan using Envelope Shape Pattern Analysis

10.12928/telkomnika.v14i4.4012
Solekhan; Institut Teknologi Sepuluh Nopember Solekhan , Yoyon; Institut Teknologi Sepuluh Nopember K Suprapto , Wirawan; Institut Teknologi Sepuluh Nopember Wirawan
Spike detection is important for the analysis of gamelan signal processing, in detecting the onset, transcription, and spikes occur on gamelan percussion instruments. Since the current methods: absolute value and NEO, could not detect spikes properly, we proposed to develop a new spike detection method. In this paper, the early stage of spike detection in gamelan music audio was the determination of the peak signal to obtain the form of a signal pattern (envelope like) which was then used as threshold for determining the spike locations. We also demonstrated the effectiveness of their method using shape pattern analysis to detect spikes.
Volume: 14
Issue: 4
Page: 1432-1437
Publish at: 2016-12-01

Interleaved reception method for restored vector quantization image

10.12928/telkomnika.v14i4.3181
Iman; Tahri Mohammed University Elawady , Abdelmounaim; Tahri Mohammed University Moulay Lakhdar , Mustapha; Tahri Mohammed University Khelifi
The transmission of image compression by vector quantization produce wrong blocks in received image which are completely different to the original one that makes the restoration process too hard because we don’t have any information about the original blocks. As a solution of this problem we try to keep the maximum of pixels that form the original block by building new blocks. Our proposition is based on decomposition and interleaving. For the simulation we use a binary symmetric channel with different BER and in the restoration process we use simple median filter just to check the efficiency of proposed approach.
Volume: 14
Issue: 4
Page: 1362-1367
Publish at: 2016-12-01

Non-binary LDPC Decoder Design over Rayleigh Channel for FPGA Implementation

10.12928/telkomnika.v14i4.4157
Zhongxun; Yantai University Wang , Juan; Yantai University Hui
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexLow Density Parity Check Code（LDPC） is a kind of linear block codes based on sparse check matrix. As a kind of channel coding, whose error performance approach Shannon limits, it has better error correction capability, more flexible structure and lower decoding complexity. Currently most of the LDPC code researches are on the premise of the AWGN channel and BSC channel, which mainly in the range of the binary LDPC codes. According to the above problem, this paper analyzes the various decoding performance of non-binary LDPC codes in Rayleigh channel, and realizes a non-binary LDPC decoder in Rayleigh channel through the FPGA design. The paper begins with an overall discussion of issues surrounding the use of non-binary LDPC codes. And then the bit-error-rate (BER) performances of different non-binary LDPC codes decoding algorithm are compared on the independent Rayleigh fading channel. Finally, this decoder design is implemented based on 5CSEMA5F31C6 FPGA (devised by Altera Company) to illustrate the concepts discussed in the paper.
Volume: 14
Issue: 4
Page: 1376-1382
Publish at: 2016-12-01

An Optimized Model for MapReduce Based on Hadoop

10.12928/telkomnika.v14i4.3606
Zhang; Lanzhou University of Technology Hong , Wang; Lanzhou University of Technology Xiao-ming , Cao; Lanzhou University of Technology Jie , Ma; State Grid Gansu Electric Company Yan-hong , Guo; Lanzhou University of Technology Yi-rong , Wang; Lanzhou University of Technology Min
Aiming at the waste of computing resources resulting from sequential control of running mechanism of MapReduce model on Hadoop platform，Fork/Join framework has been introduced into this model to make full use of CPU resource of each node. From the perspective of fine-grained parallel data processing, combined with Fork/Join framework，a parallel and multi-thread model，this paper optimizes MapReduce model and puts forward a MapReduce+Fork/Join programming model which is a distributed and parallel architecture combined with coarse-grained and fine-grained on Hadoop platform to Support two-tier levels of parallelism architecture both in shared and distributed memory machines. A test is made under the environment of Hadoop cluster composed of four nodes. And the experimental results prove that this model really can improve performance and efficiency of the whole system and it is not only suitable for handling tasks with data intensive but also tasks with computing intensive. it is an effective optimization and improvement to the MapReduce model of big data processing.
Volume: 14
Issue: 4
Page: 1552-1558
Publish at: 2016-12-01

The Strategies for Quorum Satisfaction in Host-to-Host Meeting Scheduling Negotiation

10.12928/telkomnika.v14i4.4521
Rani; Departemen Pendidikan Ilmu Komputer FPMIPA Universitas Pendidikan Indonesia Megasari , Kuspriyanto; Institut Teknologi Bandung Kuspriyanto , Emir Mauludi; Institut Teknologi Bandung Husni , Dwi Hendratmo; Institut Teknologi Bandung Widyantoro
This paper proposes two strategies for handling conflict schedule of two meetings which invite the same member of personnel at the same time through host-to-host negotiation scheme. The strategy is to let the member attend the other meeting under the condition that the group decision regarding the schedule is not changed and meeting quorum is fulfilled, namely release strategy. Other strategy is to substitute the absent personnel in order to keep the number of attendees above the quorum, namely substitute strategy. This paper adapts a mechanism design approach, namely Clarke Tax Mechanism, to satisfy incentive compatibility and individual rationality principal in meeting scheduling. By using a release strategy and substitute strategy, colliding meetings can still be held according to the schedule without the need for rescheduling. This paper shows the simulation result of using the strategies within some scenarios. It demonstrates that the number of meeting failures can be reduced with negotiation.        
Volume: 14
Issue: 4
Page: 1598-1607
Publish at: 2016-12-01

Clustering Large Data with Mixed Values Using Extended Fuzzy Adaptive Resonance Theory

10.11591/ijeecs.v4.i3.pp617-628
Asadi Srinivasulu , Gadupudi Dakshayani
Clustering is one of the technique or approach in content mining and it is used for grouping similar items. Clustering software datasets with mixed values is a major challenge in clustering applications. The previous work deals with unsupervised feature learning techniques such as k-Means and C-Means which cannot be able to process the mixed type of data. There are several drawbacks in the previous work such as cluster tendency, partitioning, less accuracy and less performance. To overcome all those problems the extended fuzzy adaptive resonance theory (EFART) came into existence which indicates that the usage of fuzzy ART with some traditional approach. This work deals with mixed type of data by applying unsupervised feature learning for achieving the sparse representation to make it easier for clustering algorithms to separate the data. The advantages of extended fuzzy adaptive resonance theory are high accuracy, high performance, good partitioning, and good cluster tendency. This EFART adopts unsupervised feature learning which helps to cluster the large data sets like the teaching assistant evaluation, iris and the wine datasets. Finally, the obtained results may consist of clusters which are formed based on the similarity of their attribute type and values.
Volume: 4
Issue: 3
Page: 617-628
Publish at: 2016-12-01

DCR: Double Component Ranking for Building Reliable Cloud Applications

10.12928/telkomnika.v14i4.3964
Lixing; Harbin Institute of Technology Xue , Zhan; Harbin Institute of Technology Zhang , Decheng; Harbin Institute of Technology Zuo
Since cloud applications are usually large-scale, it is too expensive to enhance the reliability of all components for building highly reliable cloud applications. Therefore, we need to identify significant components which have great impact on the system reliability. FTCloud, an existing approach, ranks the components only considering the impact of component internal failures and ignoring error propagation. However, error propagation is also an important factor on the system reliability. To attack the problem, we propose an improved component ranking framework, named DCR, to identify significant components in cloud applications. DCR employs two individual algorithms to rank the components twice and determines a set of the most significant components based on the two ranking results. In addition, DCR does not require information of component invocation frequencies. Extensive experiments are provided to evaluate DCR and compare it with FTCloud. The experimental results show that DCR outperforms FTCloud in almost all cases.
Volume: 14
Issue: 4
Page: 1565-1574
Publish at: 2016-12-01

Novel Smart Fuzzy Controller Based Separation Efficiency Model for Centrifugation

10.12928/telkomnika.v14i4.4032
M. S.; AlNahrain University Salim , Naseer; Universiti Malaysia Perlis Sabri , Noaman; AMA International University M. Noaman , S.; AlNahrain University Fouad
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexIn biomedical laboratories, to get surely separation efficiency of liquids using currently centrifuge devices, centrifugation process must take not less than 10 minutes at 3000 rpm of sample rotation. An intelligent fuzzy controller for laboratory centrifuge device based on separation efficiency model is produced.  The separation efficiency model is optimizing the time of centrifugation. The new controller programmed with separation efficiency model have many objectives such as high separation efficiency, decrease blood test period, low cost and device power consumption are achieved. In addition, increases the reliability for centrifuge device to estimate the centrifugation period for wide range of predefined separation efficiency, and then, the power consumption of specific separation efficiency for any centrifuge device wattage can be estimate.  The new Fuzzy Logic Controller of centrifuge device has successfully save 18kW.h monthly for 100 daily time device operation.
Volume: 14
Issue: 4
Page: 1417-1423
Publish at: 2016-12-01

Numerical Investigation of A New Junctionless Phototransistor for High-Performance and Ultra-Low Power Infrared Communication Applications

10.12928/telkomnika.v14i4.4788
H.; University of Batna 2 Ferhati , Faycal; University of Batna 2 Djeffal , T.; University of Batna 2 Bentercia
In this paper, a new junctionless optical controlled field effect transistor (JL-OCFET) is proposed to improve the device performance as well as achieving low power consumption. An overall optical and electrical performances comparison of the proposed junctionless design and the conventional inversion mode structure (IM-OCFET) has been developed numerically, to assess the optical modulation behavior of the OCFET for low power optical interconnections applications. It is found that, the proposed design demonstrates excellent capability in decreasing the phototransistor power consumption for inter-chip optical communication application. Moreover, the proposed device offers superior sensitivity and ION/IOFF ratio, in addition to lower signal to noise ratio as compared to the conventional IM-OCFET structure. The obtained results indicate the crucial role of the junctionless (JL) design in enhancing the phototransistor performance and reducing the total power dissipation. Such a very sensitive OCFET can be very promising in the future low power optical receiver less compatible to CMOS modern technology for high-quality inter-chips data communication applications.
Volume: 14
Issue: 4
Page: 1213-1216
Publish at: 2016-12-01

Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies

10.11591/ijai.v5.i4.pp135-142
Tushar Anthwal , M K Pandey
With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of the system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to the different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this, our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data.
Volume: 5
Issue: 4
Page: 135-142
Publish at: 2016-12-01

A Soft Error Study on Tri-gate based FinFET and Junctionless-FinFET 6T SRAM Cell – A Comparison

10.12928/telkomnika.v14i4.3458
P; VIT University Chitra , S; VIT UNIVERSITY Ravi , V N; VIT UNIVERSITY Ramakrishnan
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index When junction based semiconductor devices are scaled down to extreme lower dimensions, the formation of ultra-sharp junctions between source/drain and channel becomes complex since the doping concentration has to vary by several orders of magnitudes over a distance of a few nanometers. In addition, As CMOS device is scaling down significantly, the sensitivity of Integrated Circuits (ICs) to Single Event Upset (SEU) radiation increases. As soft errors emerge as reliability threat there is a significant interest lies both at device and circuit level for SEU hardness in memories. The critical dose observed in FinFET and Junctionless-FinFET (JLT) based 6T-SRAM is given by LET = 1.4 and 0.1 pC/µm. The simulation result analyzes electrical and SEU radiation parameters of FinFET and JLT based 6T-SRAM memory circuit.
Volume: 14
Issue: 4
Page: 1299-1306
Publish at: 2016-12-01

Implementation of Innovative Technologies in the Fields of Electronic Locks

10.12928/telkomnika.v14i4.4184
Štefan; Constantine the Philosopher University in Nitra Koprda , Martin; Constantine the Philosopher University in Nitra Magdin
Almost every institution currently uses attendance system that ensures maintaining control over the attendance of employees, students and other persons. By using attendance system we can provide the right to enter certain rooms for only designated people. On the basis of reports from attendance system we can evaluate a monthly attendance of employees and the by that determine their real movement within the institution. Today is this system the usual standard in every medium and large institution, for example businesses, schools, universities and many others. The price for such a system, however, is often too high. Therefore companies opt also for other alternatives. Our task was to create a working prototype of such a system. Such a system must dispose at least with function for indicating the arrival and departure of employees to be able to determine the time of stay in the workplace. For this purpose we used the platform of microcontroller Arduino with a several basic sensors and software Arduino IDE. In this paper we present the achieved results in terms of applying different access cards.
Volume: 14
Issue: 4
Page: 1329-1337
Publish at: 2016-12-01

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

10.11591/ijai.v5.i4.pp149-157
Roslina Mat Ariff , Dirman Hanafi , Wahyu Mulyo Utomo , Nooradzianie Muhammad Zin , Sy Yi Sim , Azuwien Aida Bohari
This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.
Volume: 5
Issue: 4
Page: 149-157
Publish at: 2016-12-01
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