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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 45 Documents
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Search results for , issue "Vol 13, No 4: December 2015" : 45 Documents clear
A Hybrid Sorting Algorithm on Heterogeneous Architectures Ming Xu; Xianbin Xu; Fang Zheng; Yuanhua Yang; Mengjia Yin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1896

Abstract

Nowadays high performance computing devices are more common than ever before. The capacity of main memories becomes very huge, CPUs get more cores and computing units that have greater performance. There are more and more machines get accelerators such as GPUs, too. Take full advantages of modern machines that use heterogeneous architectures to get higher performance solutions is a real challenge. There are so much literatures on only use CPUs or GPUs, however, research on algorithms that utilize heterogeneous architectures is comparatively few. In this paper, we propose a novel hybrid sorting algorithm that let CPU cooperate with GPU. To fully utilize computing capability of both CPU and GPU, we used SIMD intrinsic instructions to implement sorting kernels that run on CPU, and adopted radix sort kernels that implemented by CUDA(Compute Unified Device Architecture) that run on GPU. Performance evaluation is promising that our algorithm can sort one billion 32-bit float data in no more than 5 seconds.
A Polynomial-based Pairwise Key Pre-distribution and Node Authentication Protocol for Wireless Sensor Networks Fatemeh Banaie; Seyed Amin Hosseini Seno; Ismat Aldmour; Rahmat Budiarto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.3122

Abstract

Continuous advances in the areas of sensor networks have made wireless sensor networks (WSNs) attractive for wide variety of applications, with vastly varying requirements and characteristics. As data sensed by nodes usually contains sensitive information, adherence to data protection requirements is vital in WSNs. This paper introduces a new robust key pre-distribution key management scheme using random polynomial functions and a matrix. The proposed mechanism significantly increases storage efficiency and enhances network resilience against node capture. The effectiveness of the mechanism is demonstrated by security analysis and a comparison to existing schemes.
Research on Electromagnetic Excitation Resonant Sensor Based on Microelectromechanical System Gang Li; Xiaofeng Zhao; Dianzhong Wen; Yang Yu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1740

Abstract

In this paper, an electromagnetic excitation resonant sensor was designed based on Microelectromechanical system (MEMS) technology. In this new sensor, four nc-Si/c-Si heterojunction p-MOSFETs are manufactured by using the technique of MEMS on the N-type orientation high resistance silicon wafer, and a Wheatstone bridge is composed of four nc-Si/c-Si heterojunction MOSFETs channel resistances, output voltage of the bridge circuit changes according to the applied pressure. A vibration will be generated when an alternating current is applied to the inductance coil of electromagnetic excitation resonant sensor, the maximum power produced in the central part of the four edges of silicon membrane, whose frequency and amplitude are associated with the current in the inductance coil, and the applied pressure P can be detected. Using mechanics and electromagnetism coupling field analysis by Ansys software, the simulation to vibration situation of the silicon membrane of sensor was carried on when vertical magnetic field and alternating current were loaded. Experimental results show that, as the operating voltage is constant, with the increase of current in the inductance coil the conversion of applied pressure increases, and the output voltage of nc-Si/c-Si heterojunction MOSFETs pressure sensor is proportional to the increase of coil magnetic field i.e. the increase of pressure, the experimental results are consistent with the simulation results.
An Automatic Calibration Method for Near-infrared Camera in Optical Surgical Navigation RongQian Yang; Xuan Si; QinYong Lin; Ken Cai
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.3103

Abstract

Optical surgical navigation system (SNS) with near-infrared tracking system is becoming extensively used in clinics, and the accuracy of SNS is influenced by the calibration of near-infrared cameras (NIRCs). We propose an automatic calibration method for NIRCs. The method is based on a designed calibration board. In our experiments, corners are automatically extracted to obtain the parameters of NIRCs. This method has the advantages of saving time, efficiency in computation, high accuracy, and reliability. In our experiments, an NIRC can be calibrated in only 5 s. Meanwhile, the average relative errors of the focal length and principal point are 0.87% and 1.39%, respectively.
A Sparse Representation Image Denoising Method Based on Orthogonal Matching Pursuit Xiaojun Yu; Defa Hu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1901

Abstract

Image denoising is an important research aspect in the field of digital image processing, and sparse representation theory is also one of the research focuses in recent years. The sparse representation of the image can better extract the nature of the image, and use a way as concise as possible to express the image. In image denoising based on sparse representation, the useful information of the image possess certain structural features, which match the atom structure. However, noise does not possess such property, therefore, sparse representation can effectively separate the useful information from noise to achieve the purpose of denoising. Aiming at image denoising problem of low signal-to-noise ratio (SNR) image, combined with Orthogonal Matching Pursuit and sparse representation theory, this paper puts forward an image denoising method. The experiment shows that compared with the traditional image denoising based on Symlets, image denoising based on Contourlet transform, this method can delete noise in low SNR image and keep the useful information in the original image more efficiently.
Dynamic Stability Improvement of Multimachine Power Systems using ANFIS-based Power System Stabilizer Agung Budi Muljono; I Made Ginarsa; I Made Ari Nrartha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2049

Abstract

Modern power system are very vurnerable to against load fluctuation during their operation. Load fluctuation identified as small disturbance is important to test dynamic (small signal) stability. This research is focused on improvement of multimachine dynamic stability by using ANFIS-based power system stabilizer (proposed PSS). ANFIS method is proposed because the ANFIS computation is more efective than Mamdani fuzzy computation. Simulation results show that the proposed PSS is able to maintain the dynamic stability by decreasing peak overshoot (Po) to the value -3,37´10-5 pu/pu and accelerating settling time (St) to the time 4.01 s for rotor speed deviation Machine-2. Also, the Po is decreased to the value -3,37´10-5 pu/pu and the St is accelerated to the time 3.98 s for rotor speed deviation Machine-3.
Distinguish Sea Turtle and Fish Using Sound Technique in Designing Acoustic Deterrent Device Azrul Mahfurdz; Sunardi Sunardi; H. Ahmad; Syed Abdullah; Nazuki Nazuki
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1827

Abstract

Acoustic is a common method for underwater object classification and to observe fish schools or other marine animals in their environment, but it was never applied on sea turtle. Knowledge about turtle detection using sound is very limited and there are no target strength (TS) recorded before. In this study, an echo voltage reference methodincorporating standard target was used to measure ex situ target strength of two Green Turtle (Chelonian mydas) and three species of fish (Indian scad, Indian Mackerel and Bigeyescad). The echo signal of animals has been observed from echosounder output and every envelope of the echo was digitized at a sampling rate 1MHz using high speed analog to digital converter (USB‑1208HS). The finding shows a significant difference between fish and turtles aged 18 years old. The result also demonstrates that TS increase as age of turtle increase. This result is considered important in designing an acoustic deterrent device. The result reveals that size, surface, and animal body part influence in determining target strength value.
Control System for Nutrient Solution of Nutrient Film Technique Using Fuzzy Logic Muhammad Naufal Rauf Ibrahim; Mohamad Solahudin; Slamet Widodo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2113

Abstract

Nutrient Film Technique (NFT) is one of the hydroponic systems, which the nutrient is circulated through root of the plants. Electrical conductivity (EC) of nutrient solution on hydroponic culture is a crucial point that determines the growth rate of the plants and quality of the products. The purpose of this research is to design the control system for nutrient solution to maintain the EC of nutrient solution using Arduino. Fuzzy logic control system was used with EC error and volume of nutrient solution as inputs. Model of tomato cultivation based on certain reference was simulated with scale 1:1440 for cultivation time. This model was used as disturbance of nutrient solution EC due nutrient uptake. The result of observation showed that system could reach setpoint after 130 seconds when the setpoint changes from 1.7 mS/cm to 1.6 mS/cm and 207 seconds from 1.6 mS/cm to 1.9 mS/cm. During observation, RSME value of the system while steady state was 0.005 mS/cm.
Evaluation of the Modernization of Hydraulic Projects Management Compact-Center-Point Triangular Whitenization Weight Function Li Lijie; Wang Xiao; Zhang Lina
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2805

Abstract

In the actual analysis of grey clustering evaluation, it has been found that the length of the grey clustering interval is partially larger, which is determined by the method of grey clustering evaluation based on the center-point triangular whitenization weight function. In order to solve this problem, a new grey evaluation method based on reformative triangular whitenization weight function is researched. The existing end-point triangular whitenization weight function and center-point triangular whitenization weight function are revised, and a new compact-center-point triangular whitenization weight function is constructed. Then the rules for grey category intervalof the three triangular whitenization weight functions are compared, and an example about the evaluation of the modernization of hydraulic projects management is proposed for analyzing the three methods to further verify that the improved grey clustering evaluation method based on the compact-center-point triangular whitenization weight function is feasible and effective. The results show that the compact-center-point triangular whitenization weight function is superior to both the end-point triangular whitenization weight function and the center-point triangular whitenization weight function.
Text Mining Research Based on Intelligent Computing in Information Retrieval System Yong Li
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1788

Abstract

With the popularity and rapid development of the Internet, web text information has rapidly grown as well. To address the key problem of text mining, text clustering is investigated in this study. The shuffled frog leaping algorithm as a new type of swarm intelligence optimization algorithm can be used to improve the performance of the K-means algorithm, but the shuffled frog leaping algorithm is influenced by its moving step length. On the basis of this information, the shuffled frog leaping algorithm is improved, and the K-means clustering algorithm based on the improved shuffled frog leaping algorithm is introduced. Experiment results show that the proposed scheme can enhance the ability of searching for the optimal initial clustering center and can effectively avoid instability in the clustering results of the K-means clustering algorithm. The proposed scheme also reduces the chances of the algorithm falling into the local optimum. The performance of the proposed clustering scheme is found to be better than that of the clustering algorithm based on the shuffled frog leaping algorithm.

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