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TELKOMNIKA (Telecommunication Computing Electronics and Control)
Published by Universitas Ahmad Dahlan
ISSN : 16936930     EISSN : 23029293     DOI : 10.12928
Core Subject : Science,
Computer Science & IT
Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of submissions that TELKOMNIKA has received during the last few months the duration of the review process can be up to 14 weeks. Communication Engineering, Computer Network and System Engineering, Computer Science and Information System, Machine Learning, AI and Soft Computing, Signal, Image and Video Processing, Electronics Engineering, Electrical Power Engineering, Power Electronics and Drives, Instrumentation and Control Engineering, Internet of Things (IoT)
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 14 Documents
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Search results for , issue "Vol 8, No 3: December 2010" : 14 Documents clear
A Video Streaming Application Using Mobile Media Application Programming Interface Ary Mazharuddin Shiddiqi; Henry Pratama; Henning Titi Ciptaningtyas
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 3: December 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i3.631

Abstract

Recently, the development of mobile phone technology is growing rapidly. These developments led to the emerging of a multimedia mobile phone that supports Wireless Local Area Network (WLAN). However, the use of WLAN technology on mobile phones to access the streaming video is very rarely employed, while the current S60 Symbian operating system as a multimedia mobile phone is very reliable in handling a video. This study presents the making of a video streaming application in mobile phone via a WLAN connection using JSR 135 technology or the Mobile Media API (MMAPI). MMAPI is used to control the process of video streaming and its features. The application uses the two protocols; RTSP and HTTP. Experiment results show that the use of MMAPI on Symbian 60 based mobile phones to do video streaming is feasible and has a good reliability as 0% packet loss on connection. In addition, the times required to play multimedia files are not affected by the size of video streaming files.
Fast Geometric T2-Fuzzy Based Improved Lower Extremities Stimulation Response Hendi Wicaksono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 3: December 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i3.622

Abstract

This study emphasizes the use of type-2 fuzzy (T2-Fuzzy) to improve the adaptive proportional-integrative-derivative (PID) control in the lower extremities. Several problems were identified from previous studies and those were the slow achievement of the target angle and the presence of oscillation in the achievement of the target blade. The oscillation occurred as the consequence of deploying the early adaptive PID which was not sufficient to overcome the lower extremities nonlinearity. The difference between proposed method of T2-Fuzzy and the others lies in the defuzzification. This research adopts a fast geometric defuzzification that maintains the level of uncertainty T2-Fuzzy in real-time. A functional electrical stimulation (FES) stimulator is proposed to design and to be connected to the computer for processing the T2-Fuzzy. This stimulator stimulates lower extremities of normal subjects each cycle, and the computer record the point of measured achievement of using a goniometer sensors mounted on a knee joint. The results show that the target point of lower extremities is achieved within three initial cycles without oscillations in the achievement of the angle. It is also found that T2-Fuzzy is able to immediately restore the point of achievement when the external parameters of control occur.
An Automatic Identification System of Human Skin Irritation Abdul Fadlil
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 3: December 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i3.627

Abstract

Quantitative characterization of human skin irritation is important but it is difficult task to be done. Recently, an identification of human skin is still doing manually. Indeed, the identification of the human skin irritation sample can be very subjective. The analysis of the skin irritation could be conducted using biochemical test, but it is not simple. In this research, a new approach of an automatic human skin identification system based on image pattern recognition is developed to obtain a decision of sample test (whether it has irritation or not). This system design was developed using the following features extraction: gray level histogram (GLH) feature and texture gray level co-occurrence matrices (GLCM). Meanwhile, for a classification  process, using the following distance metric: Manhattan distance and Euclidean distance, or learning vector quantization neural network (LVQ-NN). The combination between feature extractor and classifier methods proposed was used to evaluate the performance system. The experimental results show that the best accuracy for 83.33% was obtained when design system was implementated using GLH or GLCM features through LVQ-NN classifier.     
Satellite Imagery and In-situ Data Overlay Approach for Fishery Zonation Khairul Munadi; Fardhi Adria
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 3: December 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i3.623

Abstract

Remote sensing technology is useful to give a better understanding about the earth’s characteristics. SeaWiFS (sea-viewing wide field-of-view sensor) is one of remote sensors used to observe global ocean phenomena. Previous studies showed that the distribution of chlorophyll-a in the ocean indicates the presence of fish. However, only a few studies tried to directly relate the chlorophyll-a distribution obtained through interpretation of satellite imagery to in-situ data of fish distribution. This paper investigates the relation between chlorophyll-a distribution and fish-capturing points in Aceh Province sea waters using overlay image analysis. The results are useful to identify the potential fishing ground in Aceh. The profile of chlorophyll-a concentration was derived from SeaWIFS satellite imagery and fish-capturing points data was obtained from the fisherman communities of Banda Aceh, starting from June to November 2008. The results show that the chlorophyll-a profile derived from satellite imagery has a positive relationship to fish-capturing point data. The most potential fish-capturing zone in Aceh sea waters is identified at 5-8º north latitude (N) and 96-99º east longitude (E).

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