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27,544 Article Results

A Multiband Printed Antenna Suitable for Wireless Applications

10.12928/telkomnika.v16i1.7059
S.; University of Hassan 1st Settat El Kilani , L. El; University of Hassan 1st Settat Abdellaouib , J.; University of Hassan 1st Settat Zbitou , J.; CRMEF Terhzaz , A.; University of Hassan 1st Settat Errkik , M.; Microwave Group ESEO Angers Latrach
This study deals with a new research work on a low cost multiband printed antenna which can be used for three operating frequency bands GSM900/PCS/WIFI/Bluetooth. The achieved antenna is mounted on an FR-4 substrate. In this study, the solts technique is used to obtain the multiband behavior. The different solts are inserted in the radiator face and the back face that is the ground. The whole circuit is optimized taking into account the good matching of the input impedance in the operating frequency bands with a stable radiation pattern. In order to optimize the proposed antenna structure we have used CST-MW and to compare the obtained simulation results we have conducted another electromagnetic simulation by using HFSS solver. The final circuit validated into simulation has been fabricated and tested which permits to validate the proposed multiband antenna.
Volume: 16
Issue: 1
Page: 159-165
Publish at: 2018-02-01

Household Purposes in A Single Touch Via Bluetooth Using Smartphones

10.11591/ijeecs.v9.i2.pp351-353
Bhavani Rohit , Rengamani J
Technology emerges in our environment day by day. But, still, we lag in keep on using multiple remotes for every device in our homes. Once Bluetooth came up it changes. People started using mobile phones connected to their devices to hear songs wireless and change channels using a mobile phone. A further implementation is kept on moving with multiple remotes for their usage. So, we had an idea that all our household devices may be controlled on our mobile phones via Bluetooth which is cheaper even for urban peoples. Now, all home devices with remote are IR based which doesn't work on sunlight, fluorescent bulbs due to interference. Switch over Bluetooth control reduces remotes in a sense called plastics. Mobile applications are evolved user-friendly to all the people on the day to day lives. Merge those applications to the household devices to control all household devices operated via remote such as TV, DVD, Home theatres, AC, even Table fan etc., Instead of removing IR's just interface Bluetooth chip on those household devices to control every remote device by using your smartphone. Why I am moving to Bluetooth instead of Wi-Fi. Bluetooth is cheaper, advanced to control devices in the range of 50 meters. But IR is useful to 10 meters, and once you block the signal, it will not work.
Volume: 9
Issue: 2
Page: 351-353
Publish at: 2018-02-01

Modified Discrete Firefly Algorithm Combining Genetic Algorithm for Traveling Salesman Problem

10.12928/telkomnika.v16i1.4752
Ling; Shenyang Normal University Teng , Hang; Shenyang Normal University Li
The Firefly Algorithm (FA) has a few disadvantages in solving the constrained global optimization problem, including that it is difficult to produce initial population, the size of relative attractiveness has nothing to do with the absolute brightness of fireflies, the inertia weight does not take full advantage of the information of objective function, and it cannot better control and constrain the mobile distance of firefly. In this paper, we propose a novel method based on discrete firefly algorithm combining genetic algorithm for traveling salesman problem. We redefine the distance of firefly algorithm by introducing swap operator and swap sequence to avoid algorithm easily falling into local solution and accelerate convergence speed. In addition, we adopt dynamic mechanism based on neighborhood search algorithm. Finally, the comparison experiment results show that the novel algorithm can search perfect solution within a short time, and greatly improve the effectiveness of solving the traveling salesman problem, it also significantly improves computing speed and reduces iteration number.
Volume: 16
Issue: 1
Page: 424-431
Publish at: 2018-02-01

Comparison of Secret Splitting, Secret Sharing and Recursive Threshold Visual Cryptography for Security of Handwritten Images

10.12928/telkomnika.v16i1.6632
Sugianto; Institute of Business Development Indonesia Sugianto , Suharjito; Bina Nusantara University Suharjito , Nico; Bina Nusantara University Surantha
The secret sharing is a method to protect confidentiality and integrity of the secret messages by distributing the message shares into several recipients. The secret message could not be revealed unless the recipients exchange and collect shares to reconstruct the actual message. Even though the attacker obtain shares shadow during the share exchange, it would be impossible for the attacker to understand the correct share. There are few algorithms have been developed for secret sharing, e.g. secret splitting, Asmuth-Bloom secret sharing protocol, visual cryptography, etc. There is an unanswered question in this research about which method provides best level of security and efficiency in securing message. In this paper, we evaluate the performance of three methods, i.e. secret splitting, secret sharing, and recursive threshold visual cryptography for handwritten image security in terms of execution time and mean squared error (MSE) simulation. Simulation results show the secret splitting algorithm produces the shortest time of execution. On the other hand, the MSE simulation result that the three methods can reconstruct the original image very well.
Volume: 16
Issue: 1
Page: 323-333
Publish at: 2018-02-01

Probabilistic Self-Organizing Maps for Text-Independent Speaker Identification

10.12928/telkomnika.v16i1.7559
Ayoub; Sidi Mohamed Ben Abdellah University Bouziane , Jamal; Sidi Mohamed Ben Abdellah University Kharroubi , Arsalane; Sidi Mohamed Ben Abdellah University Zarghili
The present paper introduces a novel speaker modeling technique for text-independent speaker identification using probabilistic self-organizing maps (PbSOMs). The basic motivation behind the introduced technique was to combine the self-organizing quality of the self-organizing maps and generative power of Gaussian mixture models. Experimental results show that the introduced modeling technique using probabilistic self-organizing maps significantly outperforms the traditional technique using the classical GMMs and the EM algorithm or its deterministic variant. More precisely, a relative accuracy improvement of roughly 39% has been gained, as well as, a much less sensitivity to the model-parameters initialization has been exhibited by using the introduced speaker modeling technique using probabilistic self-organizing maps.
Volume: 16
Issue: 1
Page: 250-258
Publish at: 2018-02-01

Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA

10.11591/ijeecs.v9.i2.pp447-459
Sadiq Hussain , Neama Abdulaziz Dahan , Fadl Mutaher Ba-Alwi , Najoua Ribata
In this competitive scenario of the educational system, the higher education institutes use data mining tools and techniques for academic improvement of the student performance and to prevent drop out. The authors collected data from three colleges of Assam, India. The data consists of socio-economic, demographic as well as academic information of three hundred students with twenty-four attributes. Four classification methods, the J48, PART, Random Forest and Bayes Network Classifiers were used. The data mining tool used was WEKA. The high influential attributes were selected using the tool. The internal assessment attribute in the continuous evaluation process makes the highest impact in the final semester results of the students in our dataset.  The results showed that random forest outperforms the other classifiers based on accuracy and classifier errors. Apriori algorithm was also used to find the association rule mining among all the attributes and the best rules were also displayed.
Volume: 9
Issue: 2
Page: 447-459
Publish at: 2018-02-01

Rank Computation Model for Distribution Product in Fuzzy Multiple Attribute Decision Making

10.12928/telkomnika.v16i1.6392
Syafariani R.; Indonesia Computer University Fenny , A.; Indonesia Computer University Nursikuwagus , Tono; Indonesia Computer University Hartono
Ranking of an activity is very important to support work effectiveness. Previous works, ranking for distribution product is used by manual process or averaging value. Problem in this research, the research should be found the effective way to rank the distribution product. This research proposes assist the ranking with a computational model based on Fuzzy Multiple Decision Making (FMADM). Getting an effective ranking, a variable in FMADM computing is required. Variables is used in this research such as number of households, number of small-scale enterprises run by households, gross domestic regional income, and economic growth rate of a region. Research completion is assisted by using self-built research methods. Research method consists of determining value of origin, determining degree of membership, determining weight of each variable, calculation of relation matrix, calculation of the preference value in each village for ranking value, and last is sorting. Operationalized FMADM is gain a result with three priorities district. Priority number one is all of district that have a rank or Vij (alternative rank) higher than 0.4. It means only 7% or 5 villages with the highest rank. Priority number second s all of district that have rank between Vij = 0.26 and Vij = 0.4. It means only 62% or 44 villages. Priority number three is district that have a rank lower than Vij = 0.26, and only 31% or 22 villages. Impact in use of FMADM, calculated in rank, is the process runs effective and dynamic with changing of weighted. User can arrange of weighted as needed.
Volume: 16
Issue: 1
Page: 274-281
Publish at: 2018-02-01

Asymmetrical Nine-Level Inverter Topology with Reduce Power Semicondutor Devices

10.12928/telkomnika.v16i1.8520
M. S.; Universiti Teknologi Malaysia Arif , S.M.; Universiti Teknologi Malaysia Ayob , Z.; Universiti Teknologi Malaysia Salam
In this paper a new single-phase multilevel inverter topology is presented. Proposed topology is capable of producing nine-level output voltage with reduce device counts. It can be achieved by arranging available switches and dc sources in a fashion such that the maximum combination of addition and subtraction of the input dc sources can be obtained. To verify the viability of the proposed topology, the circuit model is developed and simulated in Matlab-Simulink software. Experimental testing results of the proposed nine-level inverter topology, developed in the laboratory, are presented. A low frequency switching strategy is employed in this work. The results show that the proposed topology is capable to produce a nine-level output voltage, capable in handling inductive load and yields acceptable harmonic distortion content
Volume: 16
Issue: 1
Page: 38-45
Publish at: 2018-02-01

Gaze Tracking Algorithm Using Night Vision Camera

10.11591/ijeecs.v9.i2.pp438-446
T.A. Izzuddin , M.H. Jali , A.R. Abdullah , R. Sudirman
Nowadays, the advancement of medical technology has given birth into many innovative machines and devices to improve our health life, especially to those who are disabled or gifted.   On some people with severe disabilities such as quadriplegia, the human eye-ball does not only serve as a vision system, but also a means of conveying information and intention to other people. This is because although quadriplegic patients suffer the loss of motor sensory functions from the neck and below, upper neck functions such as the vision system is normally spared. This enables the patient to control the movement of his/her eyeballs to convey desired information. Although many similar researches have been done, this paper proposes the use of image processing on image captured using webcam with its Infra-Red (IR) filter removed (a.k.a night vision) to achieve robustness. This allows the algorithm to properly track the location of the iris despite of its and the pupil color variations. Two image processing algorithms are then used, each with owns tradeoff between speed and accuracy.  Analysis on both algorithms shows good tracking performance despite of the mentioned tradeoff.
Volume: 9
Issue: 2
Page: 438-446
Publish at: 2018-02-01

A Numerical Modeling for Study Marine Current in the Manado Bay, North Sulawesi

10.12928/telkomnika.v16i1.5919
Parabelem Tinno; Universitas Negeri Manado Rompas Dolf , Jenly Dyliep; Universitas Negeri Manado Manongko Isria
This study is investigating about marine currents provided electrical energy through the numerical model. The objective of this study is to know the power available distributions in the Manado Bay, North Sulawesi, Indonesia. The Manado Bay was width 2200 m with 79 m of depth. In computation, we are made grids in x and y horizontal were 7 m respectively, also for z vertical of four layers. The results shown that the power available distributions in the Manado Bay at 0.1 Sv were 0.00-20.00 kW/m2 when low tide currents and when high tide currents were 0.00-105 kW/m2. The values will enable for marine currents power plant in the Manado Bay to future.
Volume: 16
Issue: 1
Page: 18-24
Publish at: 2018-02-01

Similarities of Antimalarial Resistance Genes in Plasmodium Falciparum Based on Ontology

10.12928/telkomnika.v16i1.6898
Dinar Munggaran; Universitas Pakuan Akhmad , Yeni; Bogor Agricultural University Herdiyeni , Etih; Bogor Agricultural University Sudarnika
The finding of P. falciparum chloroquine resistance (pfcrt) and P. falciparum multidrug resistance 1(pfmdr1) gene in P. falciparum has become an obstacle in treating malaria. The polymorphism between the two genes may result in molecular functions, in cellular components, or in biological processes. The objective of this research is to find similarities between the two genes in 3 components; cellular components, molecular functions and biological processes, based on Gene Ontology. the similarity will be counted semantically by path length approach with Wang method. The range of similarity values is 0-1. After the similarity value examined; in Molecular Function the similarity is 1 due to the same drug transmembrane transporter activity, in Cellular Component is 0,714, the similarity only at the same vacuole food cells, and in Biological Processes is 1 due to the same proces in responding to drug. Therefore, this research proves both genes have similarities based on gene ontology.
Volume: 16
Issue: 1
Page: 415-423
Publish at: 2018-02-01

Simulation and Hardware Implementation of Shunt Active Power Filter Based on Synchronous Reference Frame Theory

10.12928/telkomnika.v16i1.6524
Karthikrjan; VIT University Senthilnathan , Iyswarya; VIT University Annapoorani , S.; Botswana International University of Science and Technology Ravi
This paper describes about the Shunt Active Power Filter (SAPF) for the elimination of the current harmonics in the line side. The Active Power Filter is based on the Voltage Source Inverter (VSI) topology. The Synchronous Reference Frame (SRF) theory based control strategy is utilized for SAPF. The SAPF has the better performance for compensation of harmonics. The simulation of shunt active power filter is performed in MATLAB/Simulink. The SAPF is implemented in hardware protptype with ATMEGA 8 Microcontroller. The Simulation and Hardware result shows that the current harmonics are eliminated in the system.
Volume: 16
Issue: 1
Page: 1-9
Publish at: 2018-02-01

Helmet Deduction Using Image Processing

10.11591/ijeecs.v9.i2.pp342-344
A Mohamed Syed Ali
The project aim is to build a smart, little power bicycle dashboard with advanced vision sensor to find whether the rider is wearing a helmet or not and allows start/stop the bike ignition system. Even while riding the bicycle, the system continues the monitoring process, prevents the fire and sends alert messages to traffic authorities if the helmet not worn at any point in time. An alcohol sensor is built-in within the dashboard to prevent the drunk driving situation. GPS and motion sensors assist the system identifies accident scenario and sends alert SMS to traffic authorities and family members. Twitter’s Sentiment Analysis on Gsm Services using Multinomial Naïve Bayes discussed in [11]. The dashboard unit has a Bluetooth transceiver that helps the system to communicate with an Android mobile app running on the user Smartphone to provide SMS sending capability. Weighted Least Squared Approach to Fault Detection and Isolation for GPS Integrity Monitoring discussed in [10]. This design eliminates building power-hungry GSM modems into the vehicle dashboard thus saving vehicle battery power. Model for Post placement Mousing based on GSM in Long-Distance discussed in [9].
Volume: 9
Issue: 2
Page: 342-344
Publish at: 2018-02-01

Detection of Ship Using Image Processing and Neural Network

10.12928/telkomnika.v16i1.7357
Sutikno; University of Diponegoro Sutikno , Helmie Arif; University of Diponegoro Wibawa , Priyo Sidik; University of Diponegoro Sasongko
Indonesia is one of the countries in this world that has the most outstanding fishery potential. There are more than 3000 fish species under Indonesia's sea, yet the people are still not able to relish them completely. Illegal fishing by foreign ships in Indonesia's territorial sea is one of the reasons why this happens. In order to minimize this kind of loss, those ships should be detected automatically by implementing image processing and artificial intelligence techniques. The study proposed techniques for automatic detection of ships at sea on digital images. These techniques are global image thresholding and artificial neural network backpropagation. The result of this research is proposed of technique able to detect ship with 85% accuracy level. This method may be improved by adding more training data varieties.
Volume: 16
Issue: 1
Page: 259-264
Publish at: 2018-02-01

Fuzzy C-Means Algorithm Based Satellite Image Segmentation

10.11591/ijeecs.v9.i2.pp332-334
Syed Nazeebur rehman , Mohameed Ali Hussain
In this paper, an improved version of Fuzzy C-Means (FCM) algorithm is proposed efficiently to segment the satellite images. Segmentation of Image is one of the promising and active researches in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image. A FCM algorithm is developed to estimate parameters of the prior probabilities and likelihood probabilities. So FCM algorithm is used for segmenting background and island extraction is done based on pixel intensity. Finally Peak Signal to Noise Ratio (PSNR) is calculated and it has better results than other.
Volume: 9
Issue: 2
Page: 332-334
Publish at: 2018-02-01
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