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29,393 Article Results

Progressive Mining of Sequential Patterns Based on Single Constraint

10.12928/telkomnika.v15i2.5098
Regina Yulia; Institut Teknologi Bandung Yasmin , Putri; Institut Teknologi Bandung Saptawati , Benhard; Institut Teknologi Bandung Sitohang
Data that were appeared in the order of time and stored in a sequence database can be processed to obtain sequential patterns. Sequential pattern mining is the process to obtain sequential patterns from database. However, large amount of data with a variety of data type and rapid data growth raise the scalability issue in data mining process. On the other hand, user needs to analyze data based on specific organizational needs. Therefore, constraint is used to impose limitation in the mining process. Constraint in sequential pattern mining can reduce the short and trivial sequential patterns so that the sequential patterns satisfy user needs. Progressive mining of sequential patterns, PISA, based on single constraint utilizes Period of Interest (POI) as predefined time frame set by user in progressive sequential tree. Single constraint checking in PISA utilizes the concept of anti monotonic or monotonic constraint. Therefore, the number of sequential patterns will decrease, the total execution time of mining process will decrease and as a result, the system scalability will be achieved.
Volume: 15
Issue: 2
Page: 709-717
Publish at: 2017-06-01

Neural Network Controller for Power Electronics Circuits

10.11591/ijai.v6.i2.pp49-55
K.J. Rathi , M. S. Ali
Artificial Intelligence (AI) techniques, particularly the neural networks, are recently having significant impact on power electronics. This paper explores the perspective of neural network applications in the intelligent control for power electronics circuits. The Neural Network Controller (NNC) is designed to track the output voltage and to improve the performance of power electronics circuits. The controller is designed and simulated using MATLAB-SIMULINK
Volume: 6
Issue: 2
Page: 49-55
Publish at: 2017-06-01

A Model and Algorithm of Dynamic Map Expression and Its Application

10.12928/telkomnika.v15i2.3906
Wan-wu; Geomatics College, Shandong University of Science and Technology Li , Lin; Geomatics College, Shandong University of Science and Technology Key Laboratory of Surveying and Mapping Technology on Island and Reef, National Administration of Surveying, Mapping and Geoinformation Liu , Xu-chen; Geomatics College, Shandong University of Science and Technology Wei , Jia-jing; Ocean University of China Li , Zhaohui; Shandong University of Science and Technology Liu
On the basis of summarizing the research results of visual variables, we define six dynamic visual variables of the map symbol in this paper. We analyze the related attributes of dynamic symbols, and then construct a dynamic map expression model based on symbols. A key technology to realize dynamic expression——the key frame transform algorithm is present in the paper. The cartography process of the urban population proportion dynamic change map of the cities in Shandong province are taken as an example to demonstrate the methods and process of dynamic mapping based on the above map dynamic expression theories and models, which includes base map digitization, sorting and processing of attribute data, adding the map elements, the creation of special dynamic effect such as color transform, continuous flashing and object moving, and realization of interactive function. Finally, the paper shows the dynamic map of sea level rising influence on Qingdao, the Typhoon Soulik traveling map, the Western European natural gas trade flow variation map, the Bangkok flood risk level dynamic map, and other dynamic map effect at the end of the article.
Volume: 15
Issue: 2
Page: 686-692
Publish at: 2017-06-01

Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment

10.11591/ijeecs.v6.i3.pp737-748
Sharifah Azwa Shaaya , Ismail Musirin , Shahril Irwan Sulaiman , Mohd Helmi Mansor
Loss issue is significant in power system since it affects the operation of power system, which ultimately can be translated to monetary effect. Incremental demand that explicitly adding the reactive load causes extra heating losses in the transmission circuit. Without appropriate remedial control, the temperature increase on transmission line cable would end with insulation failure. This phenomenon can be alleviated with a proper compensation scheme that provides optimal solution along with avoidance of under-compensation or over-compensation. Evolutionary Programming (EP) has been recognised as one of the powerful optimisation technique, applied in solving power system problems. Nevertheless, EP is an old technique that sometimes could reach to a settlement that is not fully satisfied. Thus, the need for a new approach to improve the setback is urgent. This paper presents immunized-evolutionary algorithm based technique for loss control in transmission system with multi-load increment. The classical EP was integrated with immune algorithm so as to reduce the computational burden experienced by the classical EP. The algorithm has been tested on a IEEE 12-Bus System and IEEE 14-Bus System. Comparative study was conducted between EP and IEP in terms of optimisation performance. The optimal size and location of PV determined by IEP was able to control the loss in transmission system when the load increases. Results obtained from the studies revealed the merit of the proposed IEP; indicating its feasibility for future implementation in practical system.
Volume: 6
Issue: 3
Page: 737-748
Publish at: 2017-06-01

A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Balancing and Offloading on The UMTS-IEEE 802.11g Hybrid Networks

10.12928/telkomnika.v15i2.5633
Setiyo; Universitas Mercu Buana Budiyanto , Arissetyanto; Universitas Mercu Buana Nugroho
The stages of the process of Genetic Algorithm (GA), are: Encoding Genotype and Chromosome; Set Initialization Population; Evaluation Fitness Function; and Selection Process as well as in the later stages Cross Over Process and Mutation. Outputs from the tests performed in this study can be obtained by comparing the Genes of the "Child" (condition data traffic on the UMTS Hybrid - 802.11g network after the GA) against Gen "Holding" (traffic data before the GA process). The research was conducted by calculating the environmental factors, namely: The scheme Two - Ray Model Propagation and Overlapping Channel Interference Factor, the Doppler Effect be ignored because the User Equipment (UE) is considered not to shift significant arenas on the IEEE 802.11g networks. The results of the research is as follows: In the process of cross over, there is a significant change in the bandwidth, data traffic capacity and Power parameter changes by 9 MHz,  36 MB, and 40 dBm. In the process of mutation, there is a significant change in the  bandwidth, data traffic capacity, and Power  parameter by 17 MHz, 32 MB, and 20 dBm.
Volume: 15
Issue: 2
Page: 598-605
Publish at: 2017-06-01

An Indonesian Standard of Lithium-ion Battery Cell Ferro Phospate for Electric Vehicle Applications

10.12928/telkomnika.v15i2.6233
Wahyudi; Department of Industrial Engineering Faculty of Engineering, Sebelas Maret University, Surakarta, Indonesia Sutopo , Evizal; Teknik Informatika Fakultas Teknik Universitas Islam Riau Abdul Kadir
In general, the process of developing new standards had problems in early the development process. In particular to identify what steps are necessary to develop new standards. Methodology of writing this article was conducted using the methodology of FACTS (Framework for Analysis, Comparison and Testing of the Standard). The results of this paper are the new standard for the Indonesian National Standard of Lithium-ion Battery Cell Ferro Phosphate for Electric Vehicle Applications.The standard of development data is can be use by automotive industrial and also for the government to decide new policy on electric vehicle especially in Indonesia.
Volume: 15
Issue: 2
Page: 584-589
Publish at: 2017-06-01

Low-Cost Contact Angle Measurement System for QCM Sensor

10.12928/telkomnika.v15i2.4981
Setyawan Purnomo; Brawijaya University Sakti , Rizal Y; Brawijaya University Aji , Layli; Department of Physics Amaliya , Masruroh; Brawijaya University Masruroh
Hydrophobicity is one of the importance factors in the surface properties of materials. This work presents the development of a low-cost contact angle measurement system based on goniometric measurement using a low-cost digital camera, tilt control system for surface alignment and curvature approximation algorithm to determine the contact angle between the solid and spherical cap of a water droplet. The design is specifically targeted for measuring the contact angle of a Quartz Crystal Microbalance sensor in the form of HC-49/U with a disc diameter of 8.7mm.The contact angle measurement using goniometric measurement depends on the quality of captured image and calculation method for the angle determination. Proper alignment of the sample surface is required to minimize the discrepancy of the angle measurement of water drop surface profile caused by gravity. A PIC18F4550 microcontroller is used to control the motorized tilt platform to reduce the discrepancy between left and right contact angle value. Circle fit algorithm to determine the contact angle value from the captured image is used. Using the motorized tilt control system and circle fit algorithm, the developed contact angle measurement system able to measure the contact angle with discrepancy less than 1O.
Volume: 15
Issue: 2
Page: 560-569
Publish at: 2017-06-01

A Digital Rights Management System based on Cloud

10.12928/telkomnika.v15i2.5991
Franco; University of Sannio Frattolillo
In the current Internet, digital entertainment contents, such as video or audio files, are easily accessible due to the new multimedia technologies and to broadband network connections. This causes considerable economic loss to global media players since digital contents, once legitimately obtained, can be illegitimately shared through file sharing services on the Internet. Digital Rights Management (DRM) systems have been proposed to support the protection of copyrighted digital contents. Even though such systems have been widely adopted and promoted by global media players, they are based on proprietary mechanisms that usually work only in closed, monolithic environments. In this regard, systems based on watermarking technologies appear more suited to protect digital copyrighted content. This paper describes the implementation scheme of a DRM system able to ensure the copyright protection of digital content according to an innovative buyer-friendly watermarking protocol. The DRM system has been implemented by exploiting a cloud environment in order to improve the overall performance of the system. In particular, cloud behaves as a service infrastructural provider, since the content provider involved in the watermarking protocol uses cloud to speed up the watermark embedding process and to save storage and bandwidth costs needed to store and to deliver protected contents.
Volume: 15
Issue: 2
Page: 671-677
Publish at: 2017-06-01

New Approach of the Playfair's Cipher with A Numerical Value of the Keyword

10.11591/ijeecs.v6.i3.pp695-703
Assia Merzoug , Adda Ali-Pacha , Naima Hadj-Said
At least during the last five years there has been an explosion of a public academic research in cryptography for Playfair's cipher. We were interested, and we have proposed a method to improve it, to make it safer and more efficient. We have oversized this encryption matrix by 7x7 coefficents and for its filling, we have combined two chaotic maps (the attractor Henon and logistics map). The attractor Henon of dimension 2, determines the intersection of the row and column of the new matrix playfair. The coefficients of this matrix are calculated from logistic map, each value is a single character of the alphabet used. The secret keyword is formed by the initial conditions of the chaotic attractors.
Volume: 6
Issue: 3
Page: 695-703
Publish at: 2017-06-01

A Sales Prediction Model Adopted the Recency-Frequency-Monetary Concept

10.11591/ijeecs.v6.i3.pp711-720
Rendra Gustriansyah , Dana Indra Sensuse , Arief Ramadhan
Predicting future sales is intended to control the number of existing stock, so the lack or excess stock can be minimized. When the number of sales can be accurately predicted, then the fulfillment of consumer demand can be prepared in a timely and cooperation with the supplier company can be maintained properly so that the company can avoid losing sales and customers. This study aims to propose a model to predict the sales quantity (multi-products) by adopting the Recency-Frequency-Monetary (RFM) concept and Fuzzy Analytic Hierarchy Process (FAHP) method. The measurement of sales prediction accuracy in this study using a standard measurement of Mean Absolute Percentage Error (MAPE), which is the most important criteria in analyzing the accuracy of the prediction. The results indicate that the average MAPE value of the model was high (3.22%), so this model can be referred to as a sales prediction model.
Volume: 6
Issue: 3
Page: 711-720
Publish at: 2017-06-01

Preliminary Study on biogas production from POME by DBD plasma

10.12928/telkomnika.v15i2.5574
Ariadi; Andalas University Hazmi , Reni; Bung Hatta University Desmiarti , Primas; Andalas University Emeraldi , Muhammad Imran; Andalas University Hamid , Edwardo; Andalas University Edwardo , Eka; Andalas University Putra Waldi
A new technology to produce biogas using a dielectric barrier discharge (DBD) plasma system from palm oil mill effluent (POME) was investigated. The batch experiments were examined at applied voltages of 15, 20 and 25 kV. The results showed that the highest yields of hydrogen and methane were achieved at an applied voltage of 25 kV after 1 hour were 2.42 and 1.32 mL/mL of POME, respectively. The biogas was composed of 65% hydrogen and 35% methane. In order to make the results of this study applicable to biogas plants, the effects of flowrate and consumed energy are important parameters that should be further investigated in a future study.
Volume: 15
Issue: 2
Page: 554-559
Publish at: 2017-06-01

A Novel Approach for RSS-based Fingerprinting Location System in GSM

10.12928/telkomnika.v15i2.3617
Zhongliang; Beijing University of Posts and Telecommunications Deng , Enwen; Beijing University of Posts and Telecommunications Hu , Lu; Beijing University of Posts and Telecommunications Yin
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index Received signal strength (RSS)-based fingerprinting location systems have attracted much attention in recent years. No additional hardware is required for it implementation to existing networks. However, by analyzing the realistic measurements from GSM, we find that not only the RSS but also the neighboring base stations heard at some reference point will change over time. But the relative order of neighboring base stations (NBS) sorted according to their RSS are more stable. In this paper, we present a confidence coefficient of base station based on a gridding approach to get a relative accurate NBS during the offline phase, and proposed a novel algorithm with Longest Common Subsequence Matching Degree (LCSMD) of base station vector (BSV), which uses the relative order of NBS sorted according to their RSS. To evaluate our proposed method, we collect the realistic data from GSM network. Results show that the method based on LCSMD improves the positioning accuracy compared to the original method. 
Volume: 15
Issue: 2
Page: 590-597
Publish at: 2017-06-01

Optimal Feature Selection Technique for Mel Frequency Cepstral Coefficient Feature Extraction in Classifying Infant Cry with Asphyxia

10.11591/ijeecs.v6.i3.pp646-655
A. Zabidi , W. Mansor , Khuan Y. Lee
Mel Frequency Cepstral Coefficient is an efficient feature representation method for extracting human-audible audio signals. However, its representation of features is large and redundant. Therefore, feature selection is required to select the optimal subset of Mel Frequency Cepstral Coefficient features. The performance of two types of feature selection techniques; Orthogonal Least Squares and F-ratio for selecting Mel Frequency Cepstral Coefficient features of infant cry with asphyxia was examined. OLS selects the feature subset based on their contribution to the reduction of error, while F-Ratio selects them according to their discriminative abilities. The feature selection techniques were combined with Multilayer Perceptron to distinguish between asphyxiated infant cry and normal cry signals. The performance of the feature selection methods was examined by analysing the Multilayer Perceptron classification accuracy resulted from the combination of the feature selection techniques and Multilayer Perceptron. The results indicate that Orthogonal Least Squares is the most suitable feature selection method in classifying infant cry with asphyxia since it produces the highest classification accuracy.
Volume: 6
Issue: 3
Page: 646-655
Publish at: 2017-06-01

Incremental Approach of Neural Network in Back Propagation Algorithms for Web Data Mining

10.11591/ijai.v6.i2.pp74-78
A. P. Tawdar , M. S. Bewoor , S. H. Patil
Text Classification is also called as Text Categorization (TC), is the task of classifying a set of text documents automatically into different categories from a predefined set. If a text document relates to exactly one of the categories, then it is called as single-label classification task; otherwise, it is called as multi-label classification task. For Information Retrieval (IR) and Machine Learning (ML), TC uses several tools and has received much attention in the last decades. In this paper, first classifies the text documents using MLP based machine learning approach (BPP) and then return the most relevant documents. And also describes a proposed back propagation neural network classifier that performs cross validation for original Neural Network. In order to optimize the classification accuracy, training time. Proposed web content mining methodology in the exploration with the aid of BPP. The main objective of this investigation is web document extraction and utilizing different grouping algorithm. This work extricates the data from the web URL.
Volume: 6
Issue: 2
Page: 74-78
Publish at: 2017-06-01

Design and Implementation of Efficient Analysis and Synthesis QMF Bank for Multicarrier Cognitive Radio Communication.

10.12928/telkomnika.v15i2.4746
Ankur Singh; Panjab University Chandigarh Kang , Renu; Panjab University Chandigarh Vij
The present section deals with a new type of technique for designing an efficient two channel Quadrature Mirror Filter Bank with constant phase in frequency. For achieving the Perfect Reconstruction Condition in Filter bank, an attempt has been made to design the low pass prototype filter with its impulse response and frequency response in three regions namely pass band, stop band and transition band region. With the error in terms of Reconstruction and the attenuation in the stop band as seen in the prototype filter response, one can evaluate the performance of the introduced filter with the help of filter coefficients generated in the design examples that affects the quality of filter bank design under the constraints of Near Perfect Reconstruction Conditions.
Volume: 15
Issue: 2
Page: 636-645
Publish at: 2017-06-01
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