TELKOMNIKA (Telecommunication Computing Electronics and Control)
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)
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Estimation of pH and MLSS using Neural Network
Nur Sakinah Ahmad Yasmin;
Muhammad Sani Gaya;
Norhaliza Abdul Wahab;
Yahaya Md Sam
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6144
The main challenges to achieving a reliable model which can predict well the process are the nonlinearities associated with many biological and biochemical processes in the system. Artificial intelligent approaches revolved as better alternative in predicting the system. Typical measured variables for effluent quality of wastewater treatment plant are pH, and mixed liquor suspended solids (MLSS). This paper presents an adaptive neuro-fuzzy inference system (ANFIS) and feed-forward neural network (FFNN) modeling applied to the domestic plant of the Bunus regional sewage treatment plant. ANFIS and feed- forward neural network techniques as nonlinear function approximators have demonstrated the capability of predicting nonlinear behaviour of the system. The data for the period of two years and nine months sampled weekly (140 week samples) were collected and used for this study. Simulation studies showed that the prediction capability of the ANFIS model is somehow better than that of the FFNN model. The ANFIS model may serves as a valuable prediction tool for the plant.
A Digital Rights Management System based on Cloud
Franco Frattolillo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.5991
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.
Human Re-identification with Global and Local Siamese Convolution Neural Network
K. B. Low;
U. U. Sheikh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6121
Human re-identification is an important task in surveillance system to determine whether the same human re-appears in multiple cameras with disjoint views. Mostly, appearance based approaches are used to perform human re-identification task because they are less constrained than biometric based approaches. Most of the research works apply hand-crafted feature extractors and then simple matching methods are used. However, designing a robust and stable feature requires expert knowledge and takes time to tune the features. In this paper, we propose a global and local structure of Siamese Convolution Neural Network which automatically extracts features from input images to perform human re-identification task. Besides, most of the current human re-identification task in single-shot approaches do not consider occlusion issue due to lack of tracking information. Therefore, we apply a decision fusion technique to combine global and local features for occlusion cases in single-shot approaches.
Design and Development ofa Mirror Effect Control Prosthetic Hand with Force Sensing
Maryam Hanan Yahya;
Norhazimi Hamzah;
Azizul Othman;
Anis Diyana Rosli;
Rohaiza Baharudin;
Adi Izhar Che Ani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6150
Some of the already available prosthetic hands in the market are operated in open loop, without any feedback and expensive. This system counters those by having the prosthetic hand printed using 3D printer and consist of a feedback sensor to make it a closed loop system. The system generally consists of two sections, mainly Finger Input and Prosthetic Output. The two sections communicate wirelessly for data transferring. The main purpose of the system is to control the prosthetic hand wirelessly using the Mirror Glove by performing a mirror effect that will translate movement from the glove onto the prosthetic hand. The Mirror Glove monitors the movements/bending of each fingers using force sensitive sensor. The prosthetic hand also has a sensor known as force sensitive resistor. The sensors will feedback the pressure on the prosthetic hand during object grasping, allowing the prosthetic hand to grasp delicate object without damaging it. Overall, the system will imitate the flex and relaxing of fingers inside the Mirror Glove and wirelessly control distant prosthetic hand to imitate the human hand.
Parametric Analysis of Wearable Vialess EBG Structures and Its Application for Low Profile Antennas
Adel Y.I. Ashyap;
Zuhairiah Zainal Abidin;
Samsul Haimi Dahlan;
Huda A. Majid;
Zuraidah Muhammad;
Muhammad Ramlee Kamarudin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6108
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexElectromagnetic Bandgap (EBG) structures are one class of metamaterial with attractive properties that unavailable in nature and widely used for improving the electromagnetic performance. Its In-phase reflection frequency band is indicated as operation frequency band, whose characteristic is closely related to the parameters of EBG structure, such as patch width (w), gap width (g), substrate height (h) and substrate permittivity (ε). The presence of via within EBG structure is associated with design and fabrication complexities, which led the researchers to study uniplanar EBG. These structures require no via and can easily be fabricated and integrated with RF and microwaves application. Therefore, an investigation study on the effect of the parameters of the vialess EBG surface and some design guidelines have been obtained. An example of an antenna integrated with EBG is also studied. The result indicates that the EBG ground plane significantly improves the work efficiency of the antenna in a particular frequency band.
Thermal Performance Analysis for Optimal Passive Cooling Heat Sink Design
Nur Warissyahidah Badrul Hisham;
Fatimah Sham Ismail;
Muhammad Azmi Ahmed Nawawi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6140
Recent advances in semiconductor technology show the improvement of fabrication on electronics appliances in terms of performance, power density and even the size. This great achievement however led to some major problems on thermal and heat distribution of the electronic devices. This thermal problem could reduce the efficiency and reliability of the electronic devices. In order to minimize this thermal problem, an optimal cooling techniques need to be applied during the operation. There are various cooling techniques have been used and one of them is passive pin fin heat sink approach. This paper focuses on inline pin fin heat sink, which use copper material with different shapes of pin fin and a constant 5.5W heat sources. The simulation model has been formulated using COMSOL Multiphysics software to stimulate the pin fin design, study the thermal distribution and the maximum heat profile.
A New Approach for Solving Inverse Scattering Problems with Overset Grid Generation Method
Azarina Azman;
Shafrida Sahrani;
Kismet Hong Ping;
Dayang Azra Awang Mat
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6127
This paper presents a new approach of Forward-Backward Time-Stepping (FBTS) utilizing Finite-Difference Time-Domain (FDTD) method with Overset Grid Generation (OGG) method to solve the inverse scattering problems for electromagnetic (EM) waves. The proposed FDTD method is combined with OGG method to reduce the geometrically complex problem to a simple set of grids. The grids can be modified easily without the need to regenerate the grid system, thus, it provide an efficient approach to integrate with the FBTS technique. Here, the characteristics of the EM waves are analyzed. For the research mentioned in this paper, the ‘measured’ signals are syntactic data generated by FDTD simulations. While the ‘simulated’ signals are the calculated data. The accuracy of the proposed approach is validated. Good agreements are obtained between simulation data and measured data. The proposed approach has the potential to provide useful quantitative information of the unknown object particularly for shape reconstruction, object detection and others.
A Customized Reconfiguration Controller with Remote Direct ICAP Access for Dynamically Reconfigurable Platform
Tze Hon Tan;
Chia Yee Ooi;
Muhammad Nadzir Marsono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.5508
As FPGA dynamic partial reconfiguration getting into mainstream, design of reconfiguration controller becomes an active research. Most of the existing reconfiguration controllers support only the loading of partial bitstream into configuration memory without allowing user to access ICAP directly, which can provide user higher controllability over the reconfigurable device. This paper presents the architecture of a customized reconfiguration controller with remote direct ICAP access. Remote direct ICAP access allows user to configure or readback device internal registers, which offer user higher controllability over the reconfigurable device. Additionally, the proposed reconfiguration controller achieved at least 3.19 Gbps of reconfiguration throughput, which reduces the platform service downtime during dynamic partial reconfiguration. In order to reduce the latency and transmission overhead of remote functional update, partial bitstream is compressed with run-length encoding before transmission.
A Novel Approach for RSS-based Fingerprinting Location System in GSM
Zhongliang Deng;
Enwen Hu;
Lu Yin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.3617
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.
Review on Psychological Crowd Model Based on LeBon’s Theory
Vahid Behtaji Siahkal Mahalleh;
Hazlina Selamat;
Fargham Sandhu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v15i2.6114
Irrational crowds tend to adapt herd mentality, having group behaviour and high suggestion through interaction. It is important to see how an irrational crowd can be controlled to prevent undesirable crowd attitude. This paper reviews existing models and the controllers to provide a comprehensive study for crowd control. It focuses on a comprehensive analysis of the control of psychological crowd, modelled using LeBon’s theory; which defines the crowd behaviour in terms of crowd attitude. The crowd attitude is defined in terms of suggestibility and prestige and the crowd interaction is defined in terms of the interaction of prestige and suggestibility, which is naturally unstable. A controller is required to achieve stability. In this paper several control approaches are described and the best control approach is highlighted. The results conclude, the best control approach is using multiple control agents, since the control effort is reduced and the stabilizing time is improved.