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27,438 Article Results

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

Multi-agent System for Documents Retrieval and Evaluation Using Fuzzy Inference Systems

10.11591/ijai.v5.i4.pp158-164
Galina Ivanova , Ark Andreev , Marwa A. Shouman
Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agent in order to retrieval documents from the World Wide Web. The user by this system can easily get the relevant documents which to need them.Multi-agent System is combined with fuzzy inference system for ranking documents. The documents ranking score by cosine similarity using fuzzy inference system development and implemented much simpler than the traditional method which require mathematical equations.
Volume: 5
Issue: 4
Page: 158-164
Publish at: 2016-12-01

Low Common-Mode Gain Instrumentation Amplifier Architecture Insensitive to Resistor Mismatches

10.11591/ijece.v6i6.pp3247-3254
Zainul Abidin , Koichi Tanno , Shota Mago , Hiroki Tamura
In this paper, an instrumentation amplifier architecture for biological signal is proposed. First stage of conventional IA architecture was modified by using fully balanced differential difference amplifier and evaluated by using 1P 2M 0.6μm CMOS process. From HSPICE simulation result, lower common-mode voltage can be achieved by proposed IA architecture. Actual fabrication was done and six chips were evaluated. From the evaluation result, average common-mode gain of proposed IA architecture is 10.84 dB lower than that of conventional one without requiring well-matched resistors. Therefore, the proposed IA architecture is suitable for biological signal processing.
Volume: 6
Issue: 6
Page: 3247-3254
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

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

Evaluation of Residential Grid-Connected Photovoltaic System as the Potential Energy Source in Malaysia

10.12928/telkomnika.v14i4.3818
S. S.; Universiti Teknologi MARA Abd Wahid , Z.; Universitas Sriwijaya Nawawi , M. I.; Universitas Sriwijaya Jambak , Y. Z.; Universiti Teknologi Malaysia Arief , M. A. B.; Universitas Sriwijaya Sidik , M. W.; Universiti Teknologi Malaysia Mustafa , Z.; Universiti Teknologi Malaysia Adzis
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexApplication of solar energy in Malaysia has been started in 1998. This country has a large potential of solar energy due to its location at equatorial region. The current energy consumption and demand in Malaysia is describes in this paper. The potential of solar energy in Malaysia is described together with the suitable photovoltaic construction. It also explains the plans conducted by Malaysia involving solar energy that covers investments and also projects involved such as Malaysia Building Integrated Photovoltaic (MBIPV). Simulation of grid-connected photovoltaic system in this study is performed using HOMER software. Finally, the potential of having a grid-connected PV system in a residential area is analyzed. The positive and negative findings in terms of cost and suitability of the system are explained.
Volume: 14
Issue: 4
Page: 1235-1241
Publish at: 2016-12-01

Enhanced Antenna Design for Rectenna Application in the 2.45 GHz ISM Band

10.12928/telkomnika.v14i4.4137
Sharif; Universiti Teknikal Malaysia Melaka (UTeM) Ahmed , Zahriladha; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Mohd Nor; Universiti Teknikal Malaysia Melaka (UTeM) Husain , Azahari; Universiti Teknikal Malaysia Melaka (UTeM) Salleh , Ammar; Universiti Teknikal Malaysia Melaka (UTeM) Alhegazi
In this paper a two layers microstrip antenna design at 2.45 GHz ISM band with Harmonic rejection filter embedded on the ground plane is presented. The two roger substrates with relative permittivity of 2.2 are separated by an air gap which enhances the antenna gain. The design is simulated using Computer Simulation Technology (CST) Studio Suite 2015. Different aperture couplings slots such as rectangular and triangular aperture coupling slots are studied and compared. It is found that the antenna with triangular aperture coupling slot enhances the antenna performance by suppressing 2nd and 3rd harmonics at 5 GHz and 8 GHz, respectively, increasing the antenna gain and providing a better circular polarization behavior. The simulated antenna design achieves a gain of 9 dB, return loss of -23.6dB, axial ratio of 1.27dB and axial-ratio bandwidth of 40.8% (2 ~ 3 GHz). The proposed antenna shows an enhancement in the antenna performance which makes it a suitable candidate for rectifying antenna or rectenna application as it can increase the total conversion efficiency resulting in a high output DC voltage used to power low power electronic and electrical devices such as wireless sensor.
Volume: 14
Issue: 4
Page: 1338-1344
Publish at: 2016-12-01

Combined Beamforming with Orthogonal Space Time Block Code for MIMO-OFDM with Simple Feedback

10.11591/ijeecs.v4.i3.pp580-585
Hala M. Abd Elkader , Gamal M. Abdel-Hamid , Adly Tag El-Dien , Asmaa A. Nassif
In this paper, we introduce a proposed scheme to enhance the performance of orthogonal space time block code (OSTBC) with four time slots and two antennas by combing OSTBC with random beamforming to can use it in the downlink transmission for a mobile system.  Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system has been recognized as one of the most promising techniques to achieve a good service and increase data rate in the next generation (4&5G) broadband wireless communications. So, we apply Space time block code (STBC) for MIMO-OFDM system with linear decoding.  Also, we perform STBC with beamforming for MIMO-OFDM system to improve the performance of a system. Simulation results show that the beamforming improves bit error rate (BER) performance of OSTBC and STBC-OFDM for different types of modulation and diversity.
Volume: 4
Issue: 3
Page: 580-585
Publish at: 2016-12-01

A Modelling and Simulation of a Sensorless Control of Five-phase PMSM Drives using Multi-dimension Space Vector Modulation

10.12928/telkomnika.v14i4.3996
Kamel; An-Najah National Univeristy Saleh , Mark; Nottingham University Sumner
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexThis paper introduces a new method to track the saturation saliency for position measurement of a five-phase PMSM motor fed by a five-phase inverter through measuring the dynamic current response of the motor line currents due to the IGBT switching actions. The new method uses only the fundamental PWM waveform obtained using the multi-phase space vector pulse width modulation (i.e there is no modification to the operation of the five-phase inverter) similar to the fundamental PWM method proposed for a three-leg inverter. Simulation results are provided to verify the effectiveness of the proposed strategy for saliency tracking of a five-phase PMSM motor driven by five-phase inverter over a wide speed ranges under different load conditions.
Volume: 14
Issue: 4
Page: 1269-1283
Publish at: 2016-12-01

Region Based Image Retrieval Using Ratio of Proportional Overlapping Object

10.12928/telkomnika.v14i4.4289
Agus Zainal; Institut Teknologi Sepuluh Nopember Arifin , Rizka Wakhidatus; Institut Teknologi Sepuluh Nopember Sholikah , Dimas Fanny; Institut Teknologi Sepuluh Nopember H. P. , Dini Adni; Institut Teknologi Sepuluh Nopember Navastara
In Region Based Image Retrieval (RBIR), determination of the relevant block in query region is based on the percentage of image objects that overlap with each sub-blocks. But in some images, the size of relevant objects are small. It may cause the object to be ignored in determining the relevant sub-blocks. Therefore, in this study we proposed a system of RBIR based on the percentage of proportional objects that overlap with sub-blocks. Each sub-blocks is selected as a query region. The color and texture features of the query region will be extracted by using HSV histogram and Local Binary Pattern (LBP), respectively. We also used shape as global feature by applying invariant moment as descriptor. Experimental results show that the proposed method has average precision with 74%.
Volume: 14
Issue: 4
Page: 1608-1616
Publish at: 2016-12-01

A Practical Coordinated Trajectory Tracking for A Group of Mixed Wheeled Mobile Robots with Communication Delays

10.12928/telkomnika.v14i4.3056
Sisdarmanto; Universitas Islam Indonesia Adinandra , Dwi Ana; Universitas Islam Indonesia Ratnawari
Coordination between a specific mobile robot type has been widely investigated, e.g coordination between unicycles. To extend the applicability of the system, a coordinated trajectory tracking of mixed type of mobile robots is considered. We prove that if a certain type of wheeled mobile robot is able to individually track its own reference, then coordination in tracking with other type of robots can be achieved simply by sharing individual tracking errors. Using two types of wheeled mobile robots, namely unicycle type (a nonholonomic mobile robot) and omni wheels type (a holonomic mobile robot), a coordinated control algorithm can achieve a global asymptotically stable condition of the error dynamics of the systems. Under bidirectional communication between robots as a constraint, the group is able to maintain individual tracking while coordinating the movements with other robots regardless occurring perturbations in the system and delays in communication channels. Simulation results suggest that information sharing between the robots increase the robustness in coordinating individual trajectories. Results also show that delays cause drop in performance similar to the case of no information sharing.
Volume: 14
Issue: 4
Page: 1397-1407
Publish at: 2016-12-01

SVM Parameter Optimization using Grid Search and Genetic Algorithm to Improve Classification Performance

10.12928/telkomnika.v14i4.3956
Iwan; Politeknik Elektronika Negeri Surabaya Syarif , Adam; University of Southampton Prugel-Bennett , Gary; University of Southampton Wills
Machine Learning algorithms have been widely used to solve various kinds of data classification problems. Classification problem especially for high dimensional datasets have attracted many researchers in order to find efficient approaches to address them. However, the classification problem has become very complicated and computationally expensive, especially when the number of possible different combinations of variables is so high. Support Vector Machine (SVM) has been proven to perform much better when dealing with high dimensional datasets and numerical features. Although SVM works well with default value, the performance of SVM can be improved significantly using parameter optimization. We applied two methods which are Grid Search and Genetic Algorithm (GA) to optimize the SVM parameters. Our experiment showed that SVM parameter optimization using grid search always finds near optimal parameter combination within the given ranges. However, grid search was very slow; therefore it was very reliable only in low dimensional datasets with few parameters. SVM parameter optimization using GA can be used to solve the problem of grid search. GA has proven to be more stable than grid search. Based on average running time on 9 datasets, GA was almost 16 times faster than grid search. Futhermore, the GA’s results were slighlty better than the grid search in 8 of 9 datasets.
Volume: 14
Issue: 4
Page: 1502-1509
Publish at: 2016-12-01
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