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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 9,199 Documents
 424   425   426   427   428 
Frequency control of microgrid system based renewable generation using fractional PID controller Regad Mohamed; M. Helaimi; Rachid Taleb; Hossam A. Gabbar; Ahmed M. Othman
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.pp745-755

Abstract

This paper addresses a control frequency scheme of the microgrid system using a fractional order PID controller. The proposed Microgrid system is consisted of a photovoltaic system, wind turbine generator, diesel engine generator, fuel cell, and different storage systems like battery energy storage systems, and flywheel energy storage systems. The principal objective of the present paper is to limit the frequency and power deviations by the application of the proposed controller which has five parameters to be determined through optimization techniques. Krill Herd algorithm is used for determining the optimum fractional order PID controller parameters using the integral of squared error. A comparison between the genetic algorithm and krill herd is done, and the obtained simulation results presents that the investigated controller-based Krill Herd outperforms the Genetic Algorithm in terms of fewer fluctuations in power and frequency deviation.
Protecting sensitive information utilizing an efficient association representative rule concealing algorithm for imbalance dataset Mylam Chinnappan Babu; Sankaralingam Pushpa
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.pp527-534

Abstract

In data mining, discrimination is the detrimental behavior of the people which is extensively studied in human society and economical science. However, there are negative perceptions about the data mining. Discrimination has two categories; one is direct, and another is indirect. The decisions depend on sensitive information attributes are named as direct discrimination, and the decisions which depend on non-sensitive information attributes are called as indirect discrimination which is strongly related with biased sensitive ones. Privacy protection has become another one of the most important problems in data mining investigation.  To overcome the above issues, an Efficient Association Representative Rule Concealing (EARRC) algorithm is proposed to protect sensitive information or knowledge and offer privacy protection with the classification of the sensitive data. Representative rule concealing is one kind of the privacy-preserving mechanisms to hide sensitive association rules. The objective of this paper is to reduce the alternation of the original database and perceive that there is no sensitive association rule is obtained. The proposed method hides the sensitive information by altering the database without modifying the support of the sensitive item. The EARRC is a type of association classification approach which integrates the benefits of both associative classification and rule-based PART (Projective Adaptive Resonance Theory) classification. Based on Experimental computations, proposed EARRC+PART classifier improves 1.06 NMI and 5.66 Accuracy compared than existing methodologies.
Research and Simulation of Task Scheduling Algorithm in Cloud Computing Hong Sun; Shi-ping Chen; Chen Jin; Kai Guo
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper focuses on the task scheduling algorithms based on comprehensive QoS and constraint of expectation. Under the environment of dynamic cloud computing, efficiency improving of task scheduling and load balancing are eternal problems. For users, however, it's more important to meet their requirements of QoS. This paper relates to a benefit-fairness algorithm based on new Berger's model under the environment of dynamic cloud computing. According to the different type of task scheduling, we describe the priority of fairness, efficiency and the Balance between benefit and fairness respectively. We recompile the CloudSim and simulate the three task scheduling algorithms above on the basis of extended CloudSim respectively. The experimental results indicate that this algorithm dose not only meet the principle of giving priority to benefit with due to consideration to fairness, but also meet users' needs of synthesized QoS. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3513
Factors influencing cloud computing adoption in higher education institution Wan Abdul Rahim Wan Mohd Isa; Ahmad Iqbal Hakim Suhaimi; Nurulhuda Noordin; Afdallyna Fathiyah Harun; Juhaida Ismail; Rosshidayu Awang Teh
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp412-419

Abstract

There are few studies on factors influencing cloud computing adoption in higher education institutions. However, there are lacks of understanding of the cloud computing adoption issues in the university. The main objective of this study is to investigate factors influencing cloud computing adoption in a higher education institution. The research method involved using qualitative interviewing with relevant stakeholders and case study at one public university in Malaysia. The analysis was done by using Atlat.ti. There are eighteen factors that have been coded into three main categories of Technological, Organizational and Environmental. These are among factors to influence the decision of cloud computing adoption for a public university. The first category (Technological) consists of nine factors; (i) relative advantage, (ii) cost reduction, (iii) ease of use, (iv) compatibility, (v) operational requirement, (vi) security, (vii) sustainability, (viii) trialability and (ix) complexity, The second category (organizational) consists of four factors; (i) infrastructure readiness, (ii) top management, (iii) knowledge and IT skillset and (iv) financial. The third category (environmental) consists of five factors; (i) Cloud Service Provider, (ii) Geographical, (iii) Data Privacy, (iv) Guideline and Policy, (v) Service Level Agreement (SLA). The result may provide a reference for the adoption of cloud computing in the area of mobile learning or mobile computing. Future work involves conducting similar studies at other case studies including public and private universities in Malaysia.
Algorithm of Multi Sensor Data Fusion based on BP Neural Network and Multi-scale Model Predictive Control Guo Wang; Dong Dai
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5316-5323

Abstract

Multi sensor data fusion is the data from multiple sensors and information from the relevant database are combined, which obtained judgment and description that can not achieve the goal, more accurate and complete by any single sensor. BP neural network is a kind of artificial neural network based on error back-propagation algorithm. It adopts adding hidden layer, to estimate the error directly leading layer of output layer by the error output. The paper presents Algorithm of multi sensor data fusion based on BP neural network and multi-scale model predictive control. The multi-scale model predictive control can not only obtain the previous information, and increase the flexibility in modeling and optimal phase.
Improved Based on "Self-Adaptive Turning Rate" Model Algorithm Xiuling He; Yan Shi; Jiang Yunfang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

For tracking the object with tracking nonlinear, high maneuvering target，traditional interactive multiple model self-adaptive filter algorithm was usually adopted．The turning rate estimate was very important. However，the performance of turning rate algorithm was not so satisfactory in the  model．Thus，a new the average value turning rate algorithm based on self-adaptive turning model was proposed．Aiming at additional device for turning rate estimation turning model, the parameters α and β were introduced to adjust the roughness of turning rate．Aiming at target constant turning movement and orthogonal turning rate unequal, estimates, turning rate was used the average value model to reduce the noise and error influence. Simulation results showed that the proposed algorithm was more suitable for the objects with Nonlinear, high maneuvering target tracking and could remarkably reduce the sample，and thus achieve much better tracking performance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2602
Time Varying Autoregressive Model Parameters Estimation using Discrete Energy Separation Algorithm G.Ravi Shankar Reddy; Rameshwar Rao
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.pp7785-7797

Abstract

Time Varying Autoregressive (TVAR) model for the Amplitude and Frequency modulated (AM-FM) signal is presented   In this paper. TVAR parameters of AM-FM signal are estimated using Discrete Energy Separation (DESA) Algorithm. The performance of DESA method is shown to be comparable to the existing basis function method for AM, FM, AM-FM signal models. The proposed method is simpler to execute in hardware and consumes considerably less computational resources compared to the method using Adaptive and the Basis function methods. .It is demonstrated that the proposed technique based on DESA has certain distinct advantages over the conventional method employing basis functions. Another advantage is that the present method works well with quickly varying signals
FFT Analysis on Coupling Effect of Axial and Torsional Vibrations in Circular Cross Section Beam of Steam Turbine Generators Xiang Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents a novel method to nonlinearly investigate the dynamics of the coupled axial and torsional vibrations in the circular cross section beam of the steam turbine generator using the FFT analysis. Firstly, the coupled axial and torsional vibrations of a beam are proved by equivalent law of shearing stress and different boundary conditions. Then, a nonlinear mathematical model of the coupled axial and torsional vibrations is established by the Galerkin method. Lastly, the fast Fourier transform (FFT) is employed to investigate the coupled effect of the beam vibration. A practical calculation example is calculated numerically and the coupled mechanism of the beam’s axial and torsional vibrations is analyzed in detail. The analysis results show that the frequencies of the coupled response would be existed in some special orders and the coupled response frequencies are smaller than the single vibration. Since for the first time the coupled mechanism of the beam’s axial and torsional vibrations is theoretically analyzed, the findings in this work may provide directive reference for practical engineering problems in design of steam turbine generators. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4379 
Automated monitoring and controlling pH levels for hydroponics cultivation technique Mohammad Farid Saaid; Ahmad Ihsan Mohd Yassin; Nooritawati Md Tahir
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1236-1243

Abstract

A hydroponics plant can grow healthily with sufficient nutrient, temperature, light, humidity as well as pH level that is indeed vital in ensuring the plants will absorb maximum nutrient elements required. This paper presents automated monitoring and controlling pH levels for the hydroponic cultivation technique. In this study, automated monitoring and controlling of pH levels are developed specifically for the hydroponic cultivation technique. There are three main methods that involved in the development of the system namely hardware, programming and functionality test. Firstly, users need to set the maximum and minimum pH levels as required by the plant. Then, the pH sensor will monitor the real-time pH level of the water. A syringe pump that contains a pH up solution (alkaline) and a pH down solution (acid) will drip the solutions to neutralize the water content if the water pH level is not within the stated ranges as set by the user. Results showed that the automated monitoring and controlling pH levels were successfully developed and functionality was tested and confirmed as desired. The syringe pumps responded perfectly upon changes of the water pH value based on the validation done that showed 100% accuracy of the syringe pump responds. 
Motion Compensation Technique Based On Fractional Fourier Transform Tan Gewei; Pan Guangwu; Lin Eei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Fractional Fourier transform(FrFT) is a kind of generalized Fourier transform, which processes signals in the unified time-frequency domain and the linear frequency modulation signal can be well focused after FrFT. Motion error is an important factor affecting the SAR resolution, pointing to the problem that the effect of error elimination is not obvious in processing non-stationary motion error using the traditional FFT based motion compensation combined SAR imaging algorithm, FrFT based two-step motion compensation combined wavenumber domain algorithm and sub-aperture wide beam motion compensation algorithm are put forward in this paper, which are expected to eliminate the influence of motion error more effectively, so as to obtain high quality SAR images. The simulation results and the imaging results of real SAR data show that the proposed algorithms indeed eliminate the influence of motion error effectively. (the real SAR data provided by Institute of Electronics, Chinese Academy of Sciences). DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5478

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