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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
 64   65   66   67   68 
Robust Controller Design for Networked Control Systems Based on State Estimation Fengxia None Xu; Qunhong None Tian; Junke None Wang; Mengkun None Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7705-7715

Abstract

For the networked control systems with uncertain time delay in both sensor-to-controller and controller-to-actuator channels, and data dropouts in sensor-to-controller channel, a new model of networked control systems based on state estimation is proposed using single-exponential smoothing method to predict the state variables. After adopting Lyapunov stability theory, the asymptotic stability for the system has been proved, and the Robust Controller has been designed by using linear matrix inequality. In the simulation experiment, comparing the state responses under different situations of diverse time delay and data dropouts, the results show that the method is effective.
Extension of Linear Channels Identification Algorithms to Non Linear Using Selected Order Cumulants Mohammed Zidane; Said Safi; Mohamed Sabri
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp334-343

Abstract

In this paper, we present an extension of linear communication channels identification algorithms to non linear channels using higher order cumulants (HOC). In the one hand, we develop a theoretical analysis of non linear quadratic systems using second and third order cumulants. In the other hand, the relationship linking cumulants and the coefficients of non linear channels presented in the linear case is extended to the general case of the non linear quadratic systems identification. This theoretical development is used to develop three non linear algorithms based on third and fourth order cumulants respectively. Numerical simulation results example show that the proposed methods able to estimate the impulse response parameterswith different precision.
Exploration of Experiment Teaching Reform Guided by the Engineering Education Philosophy Huichun Huang; Guoliang Du; Renjie Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to make the electronic design contest and reform of experiment teaching to support and promote each other and improve students' practical and innovative ability, the paper analyzed the requirements on the students' ability of comprehensive knowledge application and practice by NUEDC, and the deficiencies of the depth and scope of electronic information professional practice curriculum. Use the issues-based, project-based and case-based engineering education philosophy and teaching methods as orientation. The way of practice teaching reform and the effect of the reform from six aspects are also discussed: the construction of hierarchy practice teaching system, the seminar and the optimizing of teaching content, the engineering teaching method, the experimental teaching environment and full control of network-assisted teaching platform. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3144  
Hierarchical Real-time Network Traffic Classification Based on ECOC Yaou Zhao; Xiao Xie; Mingyan Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Classification of network traffic is basic and essential for manynetwork researches and managements. With the rapid development ofpeer-to-peer (P2P) application using dynamic port disguisingtechniques and encryption to avoid detection, port-based and simplepayload-based network traffic classification methods were diminished.An alternative method based on statistics and machine learning hadattracted researchers' attention in recent years. However, most ofthe proposed algorithms were off-line and usually used a single classifier.In this paper a new hierarchical real-time model was proposed which comprised of a three tuple (source ip, destination ip and destination port)look up table(TT-LUT) part and layered milestone part. TT-LUT was used to quickly classify short flows whichneed not to pass the layered milestone part, and milestones in layered milestone partcould classify the other flows in real-time with the real-time feature selection and statistics.Every milestone was a ECOC(Error-Correcting Output Codes) based model which was usedto improve classification performance. Experiments showed that the proposedmodel can improve the efficiency of real-time to 80%, and themulti-class classification accuracy encouragingly to 91.4% on the datasets which had been captured from the backbone router in our campus through a week. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3877
Temperature Based Control of Ventilation System for Optimum Climate in Tomato Greenhouse NY Dahlan; Aminuddin Idham Halid; T. Juhana Hashim; SZ Sakimin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp655-661

Abstract

Tomato has been grown successfully in highlands of Malaysia. However, the production does not meet the demand in the large market due to problem related to climate change and lack of smart control mechanism for the tomato crop to grow healthily in the micro climate. Tomato requires optimum temperature to ensure a good quality fruit production especially under greenhouse system environment. This paper presents an optimum control mechanism for ventilation system in a greenhouse to minimize the energy consumption and meet the temperature requirement for lowland tomato. The control mechanism is tested on a tomato greenhouse system located in Universiti Putra Malaysia (UPM), Serdang. The ventilation system in the greenhouse comprises of six exhaust fans and two axial fans. Results show that the proposed control mechanism on the ventilation system is able to maintain the desired temperature for lowland tomato at lower energy consumption. With the automatic control of the ventilation system, an average of 65.8% of energy consumption was saved from the greenhouse as compared to baseline energy without the control system.
Simulation and optimization of genetic algorithm-artificial neural network based air quality estimator Shirish Pandey; S. Hasan Saeed; N. R. Kidwai
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp775-783

Abstract

In this work intelligent model for estimation of the concentration of carbon monoxide in a polluted environment is developed on mat Lab platform. The results are validated using data collected from repository linked to University of California. The data records are over the duration of one year using E nose sensor placed in main city of Italy. The records are rectified and segmented at different length to extract the base and divergence values features. An artificial neural network model (ANN) is developed and the result is validated manually. Another optimized genetic algorithm-artificial neural network based air quality estimation model is developed which validate the result using artificial intelligence technique to get a better performance network.
Improving self-organizing map with nguyen-widrow initialization lgorithm Maureen Nettie N Linan; Bobby D Gerardo; Ruji P Medina
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp535-542

Abstract

The quality of cluster result and the learning speed of Self-organizing map (SOM) are dependent on the initialization of weights since the initial values for weight vectors affect the performance of SOM training when applied to clustering. In this paper, improvement of SOM was achieved with the application of the Nguyen-Widrow algorithm to initialize weights. Nguyen-Widrow initialization algorithm is a method for initialization of the weights of neural networks to speed up the training process. Performance of the modified SOM was determined in terms of cluster error rate and the number of iterations to achieve convergence using different datasets and results show that the modified SOM algorithm produces better cluster results and improved training speed compared to traditional SOM.
Application of Power Matrix Technique for Controlling DFIG Wind Turbine System S. Jabeer Basha; Loveswara Rao Burthi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp265-271

Abstract

With advance in usage of wind turbine technologies, as compared with other renewable sources the cost of wind turbine becomes competitive. Due to this economic problem, other disadvantages and by considering the global warming, the utilization of wind turbine has increased since last decade. For maintain the active power at constant, the use of Doubly-Fed Induction Generators with Energy Storage System like super capacitor (or) batteries can be used, with a two layer control scheme. This paper presents a novel concept for controlling doubly fed induction generator called power transfer matrix. This power transfer matrix technique is designed based on the instantaneous values of active and reactive power of the system. In order to protect the DFIG during fault conditions a matrix converter scheme based power/current controller is presented.
Wideband Tuning of Impedance Matching for actual RF Networks using AQPSO Yin Xin; Tan Yang Hong; Liao Jiwang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An adaptive wideband impedance matching technique using a passive PI-network is presented in the paper on the basis of adaptive quantum particle swarm optimization algorithms (AQPSO), which  avoiding the drawbacks of the standard particle swarm optimization (PSO) algorithm. The Wideband Tuning technique is for actual RF chips. So on-chip models for RF capacitors and inductors are considered. And the effects of the parasitic component loss in the PI-network are analyzed. Then the circuit is simplified according to the sensitivities of the elements. Therefore, the computational complexity is dramatically reduced. Finally, the AQPSO algorithm is adopted to maximize the power transmission efficiency. Simulation results show that the proposed tuning technique can achieve good accuracy of impedance matching and load power. The reflection coefficient and VSWR obtained are also satisfactory. Moreover, the proposed method can be useful for software defined radio systems using a single antenna for multiple mobile and wireless bands. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3504
Cost-Emission Scheduling under Uncertainty in a Smart Grid with Wind Power and PHEVs Zhang Xiaohua; Xie Jun; Li Zhenkun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of plug-in electric vehicles (PHEVs) and wind power brings new challenges to power system security and economic operation. Traditional deterministic models fail to capture their extra characteristics. In this paper, PHEVs, wind power and thermal units are studied. The scheduling model with PHEVs and wind power is more complex, which minimizes the cost-emission while considering the uncertainty of wind power and load, the smart charging/discharging of PHEVs, the coordination of wind power and PHEVs. The multi-scenario simulation is presented in the random variable discretization. Numbers of representative scenarios is chosen, so that the original objective of the smart grid is within an acceptable level. Then the multi-agent system(MAS)technology is proposed to divided a day is into 24 time intervals, and each time interval is managed by a work agent to produce a solution set for the time interval. The wind power, PHEVs and thermal units are coordinated by the work agent. 24 work agents are managed a coordination agent that would coordinate the solutions of the work agents. Finally, a smart grid of 10 thermal units, a wind farm and PHEVs are used to demonstrate the effective of the proposed model. The results show that the smart grid can use the wind power and PHEVs most effectively, can greatly cut the operation cost and carbon emission. By the tradeoff between the weight factor of cost and emission, the balance of cost and emission can reach. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4953

Page 66 of 918 | Total Record : 9174

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