Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

28,188 Article Results

An Image Compression Scheme Based on Fuzzy Neural Network

10.12928/telkomnika.v13i1.1270
Bo; North University of China Wang , Yubin; North University of China Gao
Image compression technology is to compress the redundancy between the pixels to reduce the transmission broadband and storage space by using the correlation of the image pixels. Fuzzy neural network effectively integrates neural network technology and fuzzy technology; combines learning, self-adaptivity, imagination and identity and uses rule-based reasoning and fuzzy information processing in the nodes; thus greatly improving the transparency of fuzzy neural network. This paper mainly investigates the applications of fuzzy neural network in image compression and realizes the image compression and reconstruction of fuzzy neural network. It is demonstrated in the simulation experiment that the image compression algorithm based on fuzzy neural network has significant advantages in training speed, compression quality and robustness.
Volume: 13
Issue: 1
Page: 137-145
Publish at: 2015-03-01

PDF Based Icing Image Recognition Applied to Online Early Warning System for Transmission Lines

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4223
Xin Yin , Xu Chen , Ertao Lei , Minghao Wen
This paper proposes an online early warning technique and the probability distribution function based icing image recogition for overhead power transmission lines. The main functionality of the online early warning of icing, forest fire,lighting, insulator flashover, conductor gallopiong and invasion which is based on a scheme of the online inspection system for the transmission lines with optical fibre communication technology. As a case study, the early warning of icing is discussed in this paper and a comprehensive icing early warning scheme has been proposed: the local meteorological conditions and mechanical data are applied for the initial criteria of the icing early warning system, and the PDF based image recognition technology is then used to finally decide the icing condition of transmission lines, which can be mor effectively dealt with than complex pictures acquired at towers. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7210
Volume: 13
Issue: 3
Page: 441-448
Publish at: 2015-03-01

Critical Data Routing (CDR) for Intra Wireless Body Sensor Networks

10.12928/telkomnika.v13i1.365
Javed Iqbal; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Bangash , Abdul Hanan; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Abdullah , Mohammad Abdur; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Razzaque , Abdul Waheed; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Khan
Recently, Wireless Body Sensor Network (WBSN) has been emerged as a promising technology to provide medical and healthcare monitoring. It can significantly reduce the health-care cost by providing continuous health monitoring facility to the elderly people suffering from chronic diseases. The life critical and real time medical application of WBSNs requires the assurance of the demanded Quality of Service (QoS) both in terms delay and reliability. This paper proposes Critical Data Routing (CDR) that categorizes the sensory data packets as critical and non-critical data packets. Along with the heterogeneous natured data, it also addresses the high and dynamic path loss and the temperature rise issues caused by postural movement of the human body and electromagnetic waves absorption respectively. The simulation results show that the proposed CDR scheme achieves its designed objective of forwarding the critical data packets within certain time limits and with highest reliability while reducing the temperature rise of the in-body sensor nodes.
Volume: 13
Issue: 1
Page: 181-192
Publish at: 2015-03-01

Ultrasonic Tomography of Immersion Circular Array by Hyperbola Algorithm

10.12928/telkomnika.v13i1.1320
Liu; Beijing Institute of Technology Yang , Chunguang; Beijing Institute of Technology Xu , Xianghui; Beijing Institute of Technology Guo , Liping; Flinders University Wang
This paper presents a development and research of a non-invasive ultrasonic tomography for imaging gas/liquid two-phase flow. Ultrasonic transmitting and receiving are implemented using a circular array model that consists of 36 transducers. COMSOL Multiphysics® software is adopted for the simulation of the ultrasonic propagation in the detecting zone. Various two-phase flows with different gas distributions are radiated by ultrasonic waves and the reflection mode approach is utilized for detecting the scattering waves after the generation of fan-shaped beam. Ultrasonic attenuation and sound speed are both taken into consideration while reconstructing the two-phase flow images under the inhomogeneous medium conditions. The inversion procedure of the image reconstruction is realized using the hyperbola algorithm, which in return demonstrates the feasibility and validity of the proposed circular array model.
Volume: 13
Issue: 1
Page: 65-75
Publish at: 2015-03-01

A Novel Neuro-Fuzzy Controller for Multilevel Renewable Energy System

10.11591/ijai.v4.i1.pp20-28
T PAVAN KUMAR , B N KARTHEEK
Recently, Development and the utilization of single phase based multilevel inverters has been increased. This paper proposes concept based new topology based seven level inverter with less number of power electronics switches with utility grid connection. This proposed multilevel inverter operates with only eight power electronics switches at their fundamental frequency. This inverter produces seven level output from the input here we considered as a photovoltaic system. The cost, complexity, switching losses are small due to because of usage of less number of switches. The DC/DC converter receives input from which the three positive output voltages are generated and the multilevel inverter performs as a polarity reversal that provides both the positive and negative cycle output. For further enhancement in the output waveform, the filter circuit can be integrated in the output terminal of the multilevel inverter. This paper also proposed a concept of a neuro-fuzzy controller for controlling the seven level inverter. The simulation results are observed by means of MATLAB simulink toolbox.
Volume: 4
Issue: 1
Page: 20-28
Publish at: 2015-03-01

Overview of Custom Microcontroller using Xilinx Zynq XC7Z020 FPGA

10.12928/telkomnika.v13i1.1122
Bayu; Bina Nusantara University Kanigoro , Ricky Efraim; Bina Nusantara University Lie , M. Fitra; Bina Nusantara University Kacamarga
This paper presents an overview of customizable microcontroller using a Xilinx Zynq XC7Z020 FPGA as an alternative to increase its performance as user need. This alternative arises due to many of the systems, which developed mostly by using microcontroller are not giving any room for customization to increase its performance or I/O ports. There is any possibility that the system designed to be used by using general processor such as PC to increase its performance but it will give another problem such as interface difficulty for high speed I/O, real time processing, increases complexity, and many more. Customization is introduced by combining hard IP processor and FPGA in one chip instead of practicing two separate devices, processor and FPGA, which is commonly use in high performance embedded design. This approach allows seamless design development and development time reduction for customization.
Volume: 13
Issue: 1
Page: 364-372
Publish at: 2015-03-01

Family Health Monitoring System Based on the Four Sessions Internet of Things

10.12928/telkomnika.v13i1.1265
Yang; Hebei North University Jingjing , Hao; Hebei North University Shangfu , Zhang; Hebei North University Xiao , Guo; Hebei North University Benzhen , Liu; Hebei North University Yu , Dong; Hebei North University Beibei , Liu; China System Technology Lab, IBM, Shanghai Yun
The accelerating pace of modern life results in the lack of effective care of people’s health status. Nowadays, resorting to the technology of the Internet of Things, we can provide home health monitoring services to minimize the impact of the disease brought to people. In this article, we proposed the realization method for the architecture of the four sections of the Internet of Things oriented to home health monitoring service, furthermore, the secondary the smoothness index method is applied to the monitoring of human health index, data from body temperature detection experiments verified the feasibility of the four sessions system, which laid firm foundations for the requirement of real-time and accuracy of the Internet of Things based home health monitoring system with a common reference significance and value in use.
Volume: 13
Issue: 1
Page: 314-320
Publish at: 2015-03-01

A Nonlinear System of Generalized Predictive Control

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4230
Jingfang Wang
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control systems. But systemic and effective method for nonlinear system has not been found. To this problem, this paper integrates the characteristics of PID technology and GPC, present a PID generalized predictive control algorithm for a class of nonlinear system, and improves the control quality of the system. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7215 
Volume: 13
Issue: 3
Page: 497-502
Publish at: 2015-03-01

Analysis of Unbalance Harmonic Propagation in a Three-phase Power System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4218
Syukri Yunus , Khalid Mohamed Nor
Operation is non-linear in a state of unbalance can cause problems harmonics in the power system. There are two parts over the use of computational time in harmonic load flow, the first in the construction of harmonic admittance matrix and the second is the iteration scheme for solving systems of linear equations. Mechanical completion of the harmonic admittance to the problem can be expressed in this paper, was developed as a harmonic admittance parallel applications, and a direct algorithm to calculate the admittance matrix elements are presented. Here, we show three phase power flow program is broken down into three independent sub problems, namely: network sequence of positive, negative, and zero. Positive sequence network will be solved by using the method of Fast decouple without modifying their formulation. Negative and zero sequence networks solved using nodal voltage equation. All three networks have been modeled by a sequence of three independent circuits and solved simultaneously using multi-core processors in parallel programming. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i3.7093 
Volume: 13
Issue: 3
Page: 399-409
Publish at: 2015-03-01

Design and Simulation of Quadrature Phase Detection in Electrical Capacitance Volume Tomography

10.12928/telkomnika.v13i1.1299
Imamul; CTECH Labs Edwar Technology Muttakin , Arbai; CTECH Labs Edwar Technology Yusuf , Rohmadi; CTECH Labs Edwar Technology Rohmadi , Wahyu; CTECH Labs Edwar Technology Widada , Warsito; CTECH Labs Edwar Technology P. Taruno
 Capacitance measurement accuracy is affected by phase conformity between signal and reference. This work describes phase detection scheme which is necessary for phase synchronization in tomography application. Core processing for calculating phase and amplitude of the detected signal was built on FPGA (Field-Programmable Gate-Array) platform. Phase shift demodulation algorithm employs IP core provided by Xilinx FPGA. Direct digital synthesizer (DDS), multiplier, accumulator, and CORDIC (coordinate rotation digital computer) modules were used as excitation-reference signal generator, signal multiplication, accumulation, and conversion to polar coordinate in order to conduct trigonometric operation respectively. Hardware design was emulated on MATLAB-Xilinx System Generator to observe its performance. Phase detection range 0-114.58o and mean absolute error 0.58o have been achieved. Data processing rate solely at digital signal stage was approximately 100data/s suitable for 32-channel electrical capacitance volume tomography (ECVT) system.
Volume: 13
Issue: 1
Page: 55-64
Publish at: 2015-03-01

Modified Greedy Physical Link Scheduling Algorithm for Improving Wireless Mesh Network Performance

10.12928/telkomnika.v13i1.790
Nachwan Mufti; Universitas Indonesia Adriansyah , Muhamad; Universitas Indonesia Asvial , Bagio; Universitas Indonesia Budiardjo
The algorithm to allocate mesh active link to radio resource timeslot in wireless mesh network (WMN) is investigated. This paper proposes the novel method to allocate multiple links in one timeslot for improving the wireless mesh network throughput via spatial time division multiple access (STDMA) protocol. The throughput improvement is obtained by modifying greedy based algorithm that is widely known as a low complexity algorithm. We propose and investigate new parameters in the greedy based algorithm that can be used as scheduling control parameters, i.e. interference weight, scheduling weight, and the sum of link’s degree. Simulation results indicate that this approximation increases network performance in throughput and length of scheduling performance closed to the upper bound performance that is achieved by the algorithm that uses the physical interference model. 
Volume: 13
Issue: 1
Page: 202-210
Publish at: 2015-03-01

Grid Based Cluster Head Selection Mechanism for Wireless sensor network

10.12928/telkomnika.v13i1.1190
Khalid; Universiti Teknologi Malaysia Haseeb , Kamalrulnizam; Universiti Teknologi Malaysia Abu Bakar , Abdul Hanan; Universiti Teknologi Malaysia Abdullah , Adnan; Universiti Teknologi Malaysia Ahmed
Wireless sensor network (WSN) consists of hundred to thousands sensor nodes to gathered the information from physical environment. Different clustering based algorithms have been proposed to improve network lifetime and energy efficiency. Practically it is not feasible to recharge the battery of sensor nodes when they are sensing the data. In such situation energy is crucial resource and it should be improved for life span of WSN. Cluster head (CH) has an important role in hierarchical energy efficient routing protocols because it receives data from nodes and sends towards base station (BS) or sink node. This paper presents a grid based cluster head selection (GBCHS) mechanism by dividing the network field into MXN uniform size partitions that aims to minimize the energy dissipation of sensor nodes and enhancing network lifetime. Simulation experiments have been performed in network simulator (NS2) that show our proposed GBCHS approach outperformed than standard clustering hierarchy LEACH protocol.
Volume: 13
Issue: 1
Page: 269-276
Publish at: 2015-03-01

Fuzzy Clustering Image Segmentation Based on Particle Swarm Optimization

10.12928/telkomnika.v13i1.1269
Zhanshen; Xu Chang University Feng , Boping; Xu Chang University Zhang
Image segmentation refers to the technology to segment the image into different regions with different characteristics and to extract useful objectives, and it is a key step from image processing to image analysis. Based on the comprehensive study of image segmentation technology, this paper analyzes the advantages and disadvantages of the existing fuzzy clustering algorithms; integrates the particle swarm optimization (PSO) with the characteristics of global optimization and rapid convergence and fuzzy clustering (FC) algorithm with fuzzy clustering effects starting from the perspective of particle swarm and fuzzy membership restrictions and gets a PSO-FC image segmentation algorithm so as to effectively avoid being trapped into the local optimum and improve the stability and reliability of clustering algorithm. The experimental results show that this new PSO-FC algorithm has excellent image segmentation effects.
Volume: 13
Issue: 1
Page: 128-136
Publish at: 2015-03-01

Malaria Disease Distribution in Sudan Using Time Series ARIMA Model

10.11591/ijphs.v4i1.4705
Mohammed Ibrahim Musa
Malaria is widely spread and distributed in the tropical and subtropical regions of the world. Sudan is a sub-Saharan African country that is highly affected by malaria with 7.5 million cases and 35,000 deaths every year. The auto-regressive integrated moving average (ARIMA) model was used to predict the spread of malaria in the Sudan. The ARIMA model used malaria cases from 2006 to 2011 as a training set, and data from 2012 as a testing set, and created the best model fitted to forecast the malaria cases in Sudan for years 2013 and 2014. The ARIMAX model was carried out to examine the relationship between malaria cases and climate factors with diagnostics of previous malaria cases using the least Bayesian Information Criteria (BIC) values. The results indicated that there were four different models, the ARIMA model of the average for the overall states is (1,0,1)(0,1,1)12. The ARIMAX model showed that there is a significant variation between the states in Sudan.
Volume: 4
Issue: 1
Page: 7-16
Publish at: 2015-03-01

Association of Men's Awareness of Danger Sign of Obstetric Complication and Male Involvement’s in Birth Preparedness Practices at South Ethiopia

10.11591/ijphs.v4i1.4713
Alemu Tamiso Debiso , Behailu Merdekios , Marelign Tilahun
The Ethiopian Demographic and Health Survey (EDHS) indicate that maternal mortality in Ethiopia is one of the highest in the world. This death toll can be prevented partially through increasing awareness on danger sign of obstetric complications and birth preparedness practices for mother, husbands and other family members. Community based cross sectional study was done. Adult males with a wife or partner who had been through childbirth in the preceding 36 months were included in the study. Data was collected by pretested structured questionnaires and multi stage cluster sampling was used to reach 845 samples which were calculated by using StatCalc program of Epi Info 7. Collected data was cleaned and entered in to Epi Info 7 and exported to SPSS (IBM-20) for further analysis. Hierarchical logistic regression model and adjusted odds ratio with 95% confident interval were used to show association between men awareness and birth preparedness practices. The total numbers of men interviewed were 836 that makes response rate of 98.9%. Severe abdominal pain (87%) was the most recognized danger sign during pregnancy and 17.9% men involve in saving money.  Forty two point two percent of men had awareness of danger sign and 9.4 %( 95% CI: (7.42, 11.4) of men involved in birth preparedness practice. Strong association between men awareness of danger sign of obstetric complications and involvements in birth preparedness practices persisted after adjusting for probable confounders. Thus respondents who had awareness of danger signs were two times (AOR: 1.91, 95% CI: 1.06, 3.41) more likely to involve in preparedness practice than respondents who had no awareness of danger signs of obstetric complication. The prevalence of men awareness of danger sign & involvement in birth preparedness practice was very low.
Volume: 4
Issue: 1
Page: 63-70
Publish at: 2015-03-01
1 2 3
...
1879 1880
Show 1626 of 1880

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration