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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

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

Characterization of Defect Induced Multilayer Graphene

10.11591/ijece.v7i3.pp1452-1458
Marriatyi Morsin , Suhaila Isaak , Marlia Morsin , Yusmeeraz Yusof
A study of oxygen plasma on multilayer graphene is done with different flow rates. This is to allow a controlled amount of defect fabricated on the graphene. Results from the study showed that the intensity ratio of defect between D peak and G peak was strongly depended on the amount of oxygen flow rate thus affected the 2D band of the spectra. The inter-defect distance LD ≥ 15 nm of each sample indicated that low-defect density was fabricated. The surface roughness of the multilayer graphene also increased and reduced the conductivity of the multilayer graphene.
Volume: 7
Issue: 3
Page: 1452-1458
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

Deep Machine Learning and Neural Networks: An Overview

10.11591/ijai.v6.i2.pp66-73
Chandrahas Mishra , D. L. Gupta
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a refined "machine learning" algorithm that far surpasses a considerable lot of its forerunners in its capacities to perceive syllables and picture. Deep learning is as of now a greatly dynamic examination territory in machine learning and example acknowledgment society. It has increased colossal triumphs in an expansive zone of utilizations, for example, speech recognition, computer vision and natural language processing and numerous industry item. Neural network is used to implement the machine learning or to design intelligent machines. In this paper brief introduction to all machine learning paradigm and application area of deep machine learning and different types of neural networks with applications is discussed.
Volume: 6
Issue: 2
Page: 66-73
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

The Application of Scanning Electron Microscope and Melt Flow Index for Orange Peel in Laser Sintering Process

10.11591/ijeecs.v6.i3.pp615-622
Wan Ahmad Yusoff
In manufacturing, many products need to undergo increasing customisation, and a shortening of the manufacturing cycle time. This makes the time needed to produce prototypes one of the most important contributors to product development cycles. Rapid Prototyping (RP) offers the user the ability to optimise part design in order to meet customer requirements with few manufacturing restrictions. One of the most common RP processes is Laser Sintering (LS). A problem with LS is that sometimes the surface of the parts produced displays a texture similar to that of the skin of an orange (the so-called “orange peel” texture). This problem must be addressed before the technology can gain wider acceptance. The main aim of this research is to develop a methodology of controlling the input material properties that will ensure consistent and good quality of the fabricated parts. From the experiment, it was found that PA12 powder with high melt flow rate, low melting temperature, low glass transition temperature and low degree of crystallization temperature could improve the sintering process to produce a good Laser Sintering (LS) parts with lower shrinkage rate. The powder which has higher melt viscosity and lower melting heat becomes liquid more easily and therefore flows better during the sintering process due to a shorter chain molecular structure. The results of experimental work indicate that the melt viscosity, and part surface finish are correlated.
Volume: 6
Issue: 3
Page: 615-622
Publish at: 2017-06-01

Spotlight on Neuroimmunology: Illustrations from Neurodegenerative Diseases

10.11591/ijphs.v6i2.6645
Abdelaziz Ghanemi , Besma Boubertakh
The immune system plays key roles in the defense of the organism. However, the effects of the immune system are not limited to the immune functions and have impacts beyond the anti-pathogenes role. Indeed, neuroimmunology is a representative field of how the immune system affects non-immune biological and physio-pathological functions. Herein, we have selected a number of neurodegenerative diseases as illustrative examples to put a spotlight on this important field. Importantly, clarifying the links and interactions between the immune system and the nervous system represents key elements for the understanding neurodegenerative diseases since it will lead to new theories about the pathogenesis and the mechanisms underlying the related processes and thus, provide us with new data and novel tools to both describe the related pathways and develop new therapeutic approaches as well as diagnostic approaches and research methodologies based on such new discoveries.
Volume: 6
Issue: 2
Page: 146-150
Publish at: 2017-06-01

Improving Disaster Risk Reduction Preparedness and Resilience Approaches in Emergency Response Interventions in African Countries

10.11591/ijphs.v6i2.6031
Ernest Tambo
Increasing globalization, increasing intense urbanization and climate changes have been linked to communities’ hazards and disasters vulnerabilities reported across Africa. Less data and information are documented on national to community disaster risk workforce readiness and resilience capacity in emergency humanitarian crises interventions. The lack of coherent and integrated disaster risk analysis and preparedness, response and recovery programs implementation is a major challenged in the region for decades. This paper highlights natural and man-made emergency hazards and disasters nature and exposure, potential approaches in Africa context. Our findings showed that man-made disasters events were the most documented, uneven in their nature, pattern and trend of occurrence and exposure consequences over time. Emerging and re-emerging outbreaks (Cholera, Polio, HIV, Ebola, Influenza, Rift Valley fever and Meningitis) were the most common, followed by conflicts and hunger, floods and land-sliding disproportionately spread across Africa. We also documented differential inadequacies in effective community risk assessment to emergency management, weak community disaster risk knowledge and attitudes to poorly integrated mitigation and recovery strategies. Leveraging on digital and social media network platforms advances coupled with existing fire, emergency facilities and proven effective hazard/disaster response lessons learnt and experiences are resources in strengthening laboratory capacity and laboratory networks, scaling up proactive displaced people/refugee security and safety standards support and best practice. Strengthening the national Sendai Framework for Disaster Risk Reduction (SDRRF) stewardship and investment (2015-2030) implementation is crucial in improving evidence-based, robust, and effective disaster risk reduction (DRR) community-based programs, in ensuring emergency public health readiness and resilient response capacities and ownership strategies in Africa.
Volume: 6
Issue: 2
Page: 183-191
Publish at: 2017-06-01

Hippocampal Brain Derived Neurothropic Factor Levels in Response to Anaerobic Physical Exercises

10.11591/ijphs.v6i2.6643
Mohammad Zulkarnain , Rostika Flora , Juliastuti Juliastuti , Anita Apriany , Dewi Pujiana , Septi Andrianti
Anaerobic physical exercise does not only improve body fitness, but it also increases cognitive functions. The increase of cognitive functions is mediated by the increase of Brain Derived Neurothropic Factor (BDNF) level. Several studies revealed that anaerobic physical exercise can increase the BDNF level inhippocampal tissues. However, it is still questionable whether or notthe frequency of exercise influences the production of BDNF inhippocampal tissues. This study was to find out the BDNF mean level inhippocampal tissue of Wistarrats which were treated with anaerobic physical exercises conducted in different frequencies.This study used post test only control groupdesign. The research subject was 28 rats of Rattusnorvegicus strain wistar divided into 4 groups; 1 control group and 3 treatment groups (one-time, three-time, and five times a week treatment). The anaerobic physical exercise used animal treadmill running in the speed of 35m/min for 20 minutes at four-minute intervals. The mean levels of BDNF were increased in all treatment groups compared with control group (151.588 vs 57.059). The highest mean level of hippocampal tissue BDNF was found in the treatment group of three times a week (177.701). There was a significant difference in BDNF mean levels of Wistar rat brain tissues among the treatment groups.
Volume: 6
Issue: 2
Page: 134-139
Publish at: 2017-06-01
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