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27,404 Article Results

Red (SrCa)AlSiN3:Eu2+ Nitride Phosphor Particle Size of Phosphor Converted Warm White LEDs

10.11591/ijeecs.v12.i7.pp5211-5216
Peng Hui Yuen , Hsien Shiung Hwang , Mutharasu Devarajan
Red (SrCa)AlSiN3:Eu2+ nitride phosphor with different particle sizes were characterized based on physical and luminescent properties, then packaged into Chip-On-Board (COB) Warm White Light Emitting Diode (LED)  modules to investigate the influence of particle size on packaging parameters and optical  output of the COB LED devices. The phosphor particle sizes investigated were 10µm, 12µm and 14µm, and experimental data indicates that the emission spectrum for the red phosphor with bigger particle size is slightly red-shifted compare with the red phosphor with smaller particle size. Besides that, COB LED modules packaged with smaller red phosphor particle required slightly lesser amounts of phosphor to achieve same value of Correlated Color Temperature (CCT) range from 3500K to 3600K, while enhancing the optical output power. The average lumen output and the average efficacy of COB LED devices packaged with 10µm phosphor had an increment of 5.07% and 9.55% respectively while 12µm phosphor had an increment of 5.14% and 9.79% respectively compared to the 14µm phosphor sample.
Volume: 12
Issue: 7
Page: 5211-5216
Publish at: 2014-07-01

Information Technology Governance Archetype in an Indonesian University

10.11591/ijeecs.v12.i7.pp5636-5644
Riza Afriza Islami , I Made Sukarsa , I Ketut Adi Purnawan
Information Technology (IT) governance is used as a structure and control in alignment of IT functions and business goals. One of ABC University’s business goal is to achieve World Class University in 2021. This paper presents a study in one of IT governance’s component, likely structure of IT decisions right or archetype. It is needed to evaluate right applied archetype to achieve the alignment of business goals on five keys of IT decisions, namely IT principles, IT architecture, IT infrastructure, business application needs, and IT investment. COBIT 4.1 and the research of Weill and Ross (CISR) were used as the framework. The study was conducted by collecting data through observation, questionnaires, and interviews, as well as data analysis based on the existing conditions, and respondents’ perception.The analysis shows that there are still weaknesses in the existing IT governance conditions and archetype, so as it’s advisable the appropriate improvement recommendations. 
Volume: 12
Issue: 7
Page: 5636-5644
Publish at: 2014-07-01

Wind-Induced Vibration Analysis of Overhead Working Truck

10.11591/ijeecs.v12.i7.pp5298-5304
Hongqi Jiang , Shuncai Li , Xianbiao Mao
As to the complicated characteristics of overhead working truck under effects of random dynamic wind, the traditional method is difficult to reflect its dynamic response in real time, in the study; it proposes the random wind induced vibration response analysis method based on the finite element method and pseudo-excitation method. An it regards the vibration of the fluctuating wind load as coherent random vibration under stationary random excitation, and it uses Davenport wind velocity spectrum which does not change with height, the correlation of the wind excitation are considered. It takes the folding type arm overhead working truck as example, the random wind vibration analysis are performed, and it gets the acceleration response spectrum and root mean square the of aerial work platform. The analysis results show that the low-order frequency will cause great vibration of the work platform, and the vertical one third of the root-mean-square of acceleration is below international standards, it has no uncomforted effect on operation workers. 
Volume: 12
Issue: 7
Page: 5298-5304
Publish at: 2014-07-01

An ICVBPNN Algorithm for Time-varying Channel Tracking and Prediction

10.11591/ijeecs.v12.i7.pp5476-5483
Sufang Li , Mingyan Jiang , Dongfeng Yuan
An improved complex-valued back propagation neural network (ICVBPNN) algorithm is proposed in this paper. In allusion to the defect of gradient descent of traditional complex-valued back propagation network (CVBPNN) algorithm, additive momentum has been introduced. It is used for time-varying channel tracking and prediction in wireless communication system and better application results are acquired. Firstly, with the use of the learning ability of the neural network, the tracking training is started based on the obtained channel state information (CSI), thus the nonlinear channel model is constructed. Secondly, the unknown channel state information is predicted using the ICVBPNN trained model. The simulation results demonstrate that the proposed method has less estimated error, and can track the channel more accurately than the traditional CVBPNN and the Kalman Filter algorithm.
Volume: 12
Issue: 7
Page: 5476-5483
Publish at: 2014-07-01

Sketching Expert System for Crime Investigation Purposes

10.11591/ijeecs.v12.i7.pp5655-5660
Bagus Yudistira , I Ketut Gede Darma Putra , Anak Agung Kompyang Oka Sudana
The presence of police sketcher play an important role in making investigation in purpose of making arrestment to fugitive or suspect. The lacking presence of police sketcher is making a lack in investigation process, because lack of information gathered for the further process. This limitation is overcome by developing an expert system using gadget as a helping device to making sketch, with adding sketcher knowledge. Sketching method already been used since long time in process of investigation and effective making the result. The result of expert system on case given showing the system to real object which made sketching reach 85% of accuracy level.
Volume: 12
Issue: 7
Page: 5655-5660
Publish at: 2014-07-01

Study on the Acceptance Test Specification of Grid-connected Micro-grid

10.11591/ijeecs.v12.i7.pp4944-4953
Le Jian , Tao Mao , Yang Zhichun , Liu Yang , Liu Kaipei
According to relevant standards and specifications at home and abroad, the acceptance tests that must be performed to validate whether the grid-connection/splitting process and grid-connection operation of micro-grid meet the relevant technical requirements have been studied in this paper. Combining the technical requirements of the micro-grid, this paper gives the conditions, measuring instruments, general process and acceptance standards of the acceptance tests, and focuses on the designing of acceptance tests of key operation, operation parameters and protection functions of the micro-grid, such as grid-connection/splitting process, power quality during the grid-connection operation and reverse power and short-circuit protection and so on. The relevant test methods, specific steps and acceptance standards are proposed. This paper can provide a good foundation and basis for designing the acceptance tests specification of micro-grid.
Volume: 12
Issue: 7
Page: 4944-4953
Publish at: 2014-07-01

Short-Term Prediction of Wind Power Based on an Improved PSO Neural Network

10.11591/ijeecs.v12.i7.pp4973-4980
Hong Zhang , Guo Zhao , Lixing Chen , Bailiang Liu
Connecting wind power to the power grid has recently become more common. To better manage and use wind power, its strength must be predicted precisely, which is of great safety and economic significance. In this paper, the short-term power prediction of wind power is based on self-adaptive niche particle swarm optimization (NPSO) in a neural net. Improved PSO adopts the rules of classification and elimination of a niche using a self-adaptive nonlinear mutation operator. Compared with the traditional method of maximum gradient, NPSO can skip a local optimal solution and approach the global optimal solution more easily in practice. Compared with the basic PSO, the number of iterations is reduced when the global optimal solution is obtained. The method proposed in this paper is experimentally shown to be capable of efficient prediction and useful for short-term power prediction.
Volume: 12
Issue: 7
Page: 4973-4980
Publish at: 2014-07-01

dsPIC33 Based Control for PV-Grid System with a Buck-Boost MPPT

10.11591/ijeecs.v12.i7.pp5137-5143
Slamet Riyadi
The use of solar energy is very important due to the fossil based energy crisis. Rapid progress in PV technologies has contributed to its applications. There are many PV based power plants built around the world.  Maximum Power Point Trackers (MPPT) take significant role in operating PV modules to produce their maximum power. They are implemented by using choppers to match the load resistance and the PV resistance. Recently, integration between PV modules and grids is more popular due to their advantages. The PV-Grid system can be single stages, two stages or any other types and all of them use PWM (pulse width modulation)  converters as their cores. In this paper, a PV-Grid System using buck-boost chopper as MPPT is analyzed. Power generated by PV modules is transferred to the grid by using an inverter that operated as a controlled current source so the complexity can be reduced. Finally, the dsPIC33 based control scheme for such a PV-Grid System was made as a laboratory scaled-prototype to verify the analysis and simulations.
Volume: 12
Issue: 7
Page: 5137-5143
Publish at: 2014-07-01

Stochastic Synchronization of Neutral-Type Chaotic Markovian Neural Networks with Impulsive Effects

10.11591/ijeecs.v12.i7.pp5430-5437
Cheng-De Zheng , Xixi Lv
This paper studies the globally stochastic synchronization problem for a class of neutral-type chaotic neural networks with Markovian jumping parameters under impulsive perturbations. By virtue of drive-response concept and time-delay feedback control techniques, by using the Lyapunov functional method, Jensen integral inequality, a novel reciprocal convex lemma and the free-weight matrix method, a novel sufficient condition is derived to ensure the asymptotic synchronization of two identical Markovian jumping chaotic delayed neural networks with impulsive perturbation. The proposed results, which do not require the differentiability and monotonicity of the activation functions, can be easily checked via Matlab software. Finally, a numerical example with their simulations is provided to illustrate the effectiveness of the presented synchronization scheme.  
Volume: 12
Issue: 7
Page: 5430-5437
Publish at: 2014-07-01

Detecting Rice Growth Using ALOS Multispectral and Synthetic Aperture Radar

10.11591/ijeecs.v12.i7.pp5613-5620
Bambang Hendro Trisasongko , Dyah Retno Panuju , La Ode Syamsul Iman
Rice monitoring is a substantial to Asian countries, including Indonesia, since most inhabitants consume rice on a daily basis. As field survey requires substantial time and budget, one relies on remotely sensed data, especially taken through spaceborne platform. This research discusses multispectral and linearly polarized Synthetic Aperture Radar (SAR) from Advanced Land Observing Satellite and their applications to observe various rice growth information. It appears that both sensors provided useful rice growth data leading to the possibility on improving rice field information extraction. Classification scheme by means of Random Forest suggested that both data were fairly acceptable for timely monitoring.
Volume: 12
Issue: 7
Page: 5613-5620
Publish at: 2014-07-01

Multi-user Detection Based on Gaussian Sum Particle Filter in Impulsive Noise

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3640
Li Zhihui , xian Jin-Long
In order to improve the performance of multi-user detector, this paper analyses a new algorithm, Gaussian sum particle filter (GSPF). This algorithm approximates the filtering and predictive distributions by weighted Gaussian mixtures and is basically banks of Gaussian particle filters (GPF). Then, GSPF is used in dynamic state space (DSS) models with non-Gaussian noise. The non-Gaussian noise is approximated by Laplace noise and Alpha noise. As a result, GSPF can effectively reduce the bit error rate of the system. The simulation results show that the GSPF has the versatility and super performance in MUD. It proves that the improved algorithm has important value for the research of MUD system. DOI: http://dx.doi.org/10.11591/telkomnika.v12i7.5529
Volume: 12
Issue: 7
Page: 5379-5386
Publish at: 2014-07-01

Theoretical Study of Multiple Solar Cells System as a Function of Temperature

10.11591/ijeecs.v12.i7.pp4928-4933
Ben Slimane Hassane , Ben Moussa Dennai , Helmaoui Abderrachid
A simulation model has been performed on materials as Ge, Si, GaAs, AlGaAs and the values of gaps Egk of hypothetical materials, the calculation of the corresponding maximum efficiency was carried out for multigap solar cells systems coupled in splitting mode. The effects of an optical coupling by a dichroic mirror between independent solar cells, and solar cells coupled in series has been analysed. One particular result of our study is that the coupling by a dichroic mirror between an independent cell gives an interesting efficiency.
Volume: 12
Issue: 7
Page: 4928-4933
Publish at: 2014-07-01

Controlled Synchronization by Limited Capacity Communication Channel

10.11591/ijeecs.v12.i7.pp5362-5367
Ziqi Dong , Yongchun Liu , Da Lin
The work focuses on synchronization of time-delay chaos systems under information constraints. A theoretical analysis for time-delayed system by limited communication channel is provided. By using the Lyapunov-Krasovskii approach, a synchronization condition is first obtained. Encoder of binary coding is designed by this condition, and synchronization error of this systems tends to zero. Finally, analytical conditions are used for synchronization of time-delay chaos systems under information constraints, and simulations verify the validity of obtained result.
Volume: 12
Issue: 7
Page: 5362-5367
Publish at: 2014-07-01

Fuzzy c-Means and Mean Shift Algorithm for 3DPoint Clouds Denoising

10.11591/ijeecs.v12.i7.pp5546-5551
Tongguang Ni , Xiaoqing Gu , Hongyuan Wang
In  many  applications,  denoising  is  necessary  since  point-sampled  models  obtained  by  laser  scanners  with  insufficient  precision.  An  algorithm  for  pointsampled surface is presented, which combines fuzzy c-means clustering with mean shift filtering algorithm. By using fuzzy c-means clustering, the large-scale noise is deleted  and  a  part  of  small-scale  noise  also  is  smooth.  The  cluster  centers  are regarded  as  the  new  points.  After  acquiring  new  point  sets  being  less  noisy,  the remains noise  is smooth by mean shift  method. Experimental results demonstrate that the algorithm can produce a more accurate point-sample model efficiently while having better feature preservation.
Volume: 12
Issue: 7
Page: 5546-5551
Publish at: 2014-07-01

A Virtual Physics-based Approach to Multiple Odor Sources Localization

10.11591/ijeecs.v12.i7.pp5331-5341
Xiaoping Ma , Yuli Zhang , Yanzi Miao
The detection of an odor source location has been enhanced by using multiple plume-tracing mobile robots. So far, many researchers focus on locating a single source in varied environments. The present study is concerned with the problem of multiple chemical sources localization using multi-robot system. In this study, multiple groups of robots were used and coordinated by a multi-robot cooperation strategy with virtual physics force, which includes structure formation force, goal force, repulsion force and rotary force. In order to test the effectiveness of the proposed strategy, plume model with two sources was constructed by computation fluid dynamics simulations. Simulation experiment discussed the influence of the varied frequencies of wind direction/ speed and methane release with different initial positions of multiple groups to the search performance. Simulation comparison experiments using three kinds of plume tracing algorithms: chemotaxis, anemotaxis and fluxotaxis were carried out respectively and the comparative result about three plume tracing algorithms was illustrated.
Volume: 12
Issue: 7
Page: 5331-5341
Publish at: 2014-07-01
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