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30,938 Article Results

Design of Robust Controller for Higher Order Interval System using Differential Evolutionary Algorithm

10.11591/ijra.v7i4.pp232-250
D. Srinivasa Rao , M. Siva Kumar , M. Ramalinga Raju
This paper describes the design of the robust PI/PID controller for the higher order interval system via its reduced order model using the differential evolution (DE) algorithm. A stable reduced interval model is generated from a higher order interval system using the DE in order to minimize the cost and reduce the complexity of the system. This reduced order interval numerator and denominator polynomials are determined by minimizing the Integral Squared Error (ISE) using the DE. Then, using reduced order interval model, a robust PI/PID controller is designed based on the stability conditions for determining robust stability of interval system. Finally, using these stability conditions, a set of inequalities in terms of controller parameters is obtained from the reduced order closed loop characteristic polynomial. Then these inequalities are solved to obtain robust controller parameters with the help of a DE algorithm. The designed, robust controller from the reduced order interval model will be attributed to the higher order interval system. The designed PI/PID controller from our proposed method not only stabilizes the reduced order model, but also stabilizes the original higher order system. The viability of the proposed methodology is illustrated through the numerical example of its successful implementation. The efficacy of the proposed methodology is also evaluated against the available approaches presented in the literature and the results were successfully implemented.
Volume: 7
Issue: 4
Page: 232-250
Publish at: 2018-12-01

Hope as a Unique Agent of Resilience in Socio-economically Disadvantaged Adolescents

10.11591/ijere.v7i4.15354
Zeynep Aydın Sünbül , Ferah Çekici
The aim of this study was to explore the predictive effect of hope for resilience in socio-economically disadvantaged adolescents. Participants of the study were 692 (395 female, 297 male) students attending to 9th, 10th and 11th grades. The age range of the sample was 14-19 (M = 16.24, SD=.89). A convenient sampling was used to select the participants who are picked from four high schools located in low income regions. In order to collect data, The 14-Item Resilience Scale (Wagnild, 2010) and Dispositional Hope Scale (Snyder et al., 1991) were used as data collection instruments. The predictive effect of hope on resilience was analyzed through linear regression. Regression analysis yielded that hope explains 48% of the variance in the resilience scores of participants. This result indicates that hope is a powerful significant predictor of resilience for socio-economically disadvantaged adolescents.
Volume: 7
Issue: 4
Page: 299-304
Publish at: 2018-12-01

Reactive Power Tracing Index LQP_LT for Voltage Unstable Load Bus Identification in Power Systems

10.11591/ijeecs.v12.i3.pp889-898
Renuga Verayiah , Azah Mohamed , Syahirah Abd Halim
Existing power systems are significantly susceptible to voltage instability problem since such systems are stressed with the huge power transfers across the grids. To guarantee power system stability during stressed conditions, it is important to first identify the voltage unstable load buses to determine appropriate locations for under voltage load shedding. In this study, a new method is proposed for determining weak load bus locations by using reactive power tracing to develop a novel reactive power tracing capable index, named as LQP_LT.  The reactive power tracing algorithm is integrated with the LQP_LT index formulation to generate priority ranking list of weak load buses. The LQP_LT index was tested on the 57 bus system and the resulting priority ranking list is found to have successfully determined the weak load buses for load shedding in the test system. Comparison with other stability indices revealed that the LQP_LT has better sensitivity and response towards determining the location of the weakest load bus for under voltage load shedding implementation.
Volume: 12
Issue: 3
Page: 889-898
Publish at: 2018-12-01

An Efficient Framework to Improve QoS of CSP using Enhanced Minimal Resource Optimization based Scheduling Algorithm

10.11591/ijeecs.v12.i3.pp1179-1186
Ravi Mahadevan , Neelamegam Anbazhagan
Online Nowadays, the enterprises & individuals are contributing their workloads on cloud service providers which are going to increase on daily basis. There are   large amount CSP are available to offer virtualized and dynamic resource on pay and use basis. However, there are almost CSP failed to maintain quality of service (QOS) and minimal resource optimization. Some of the existing approaches are highly dedicated on scheduling policy but, it does not considered reliable services with optimized QOS. To offer best solution of above problem, the framework proposes Enhanced Minimal Resource Optimization based Scheduling Algorithm to minimize the resources and maintain the QOS.  The method avoids delay in Request-Response model in cloud environment. To avoid overload for resource allocation, the proposed design utilized optimized scheduling policy.  Proposed mechanisms utilized optimized service brokering policy to reduce the delay response in cloud environment. The framework also help cloud user to prefer best CSP according to their prior services. The method offers rising trend of resource based structure to reduce the placement churn extensively. Proposed system utilized efficient scheduling policy to transmit data request to CSP with minimal data processing time. The entire utilization is to improve the QOS of cloud service provider in the features of multi-dimensional resource. Based on experimental evaluations, proposed technique improves the CPT (Computation Processing Time) 301.72 milliseconds, BU (Bandwidth Utilization) 20 Mbps, CPUU (CPU Utilization) 5% & MRU (Memory Resource Utilization) 3% on given input parameters compare than existing methodology.
Volume: 12
Issue: 3
Page: 1179-1186
Publish at: 2018-12-01

Using Partial Credit Model to Improve the Quality of an Instrument

10.11591/ijere.v7i4.15146
Saras Krishnan , Noraini Idris
In using the Rasch model to improve the quality of an instrument, analysis purports to determine if the sample collaborates well with the items in the instrument such that the results are measuring a single underlying variable. The relevant properties of Rasch analysis are reliability and validity which are key indicators of the quality of a measurement instrument. This paper discusses the use of one type of Rasch model that is the Partial Credit Model to investigate reliability and validity of an instrument. By removing or changing items in the instrument when conditions of reliability and validity are not met, the quality of the instrument is improved.
Volume: 7
Issue: 4
Page: 313-316
Publish at: 2018-12-01

Item Analysis for the Adapted Motivation Scale Using Rasch Model

10.11591/ijere.v7i4.15376
Sar Ee Ng , Kee Jiar Yeo , Azlina bt Mohd Kosnin
The aim of this study was to measure the validity and reliability of an adapted motivation scale used in second language learning.  The Integrative and Instrumental motivation (IIM)  was developed based on two orientations of motivation, which were integrative motivation and instrumental motivation.  IIM was used to identify students’ level of motivation towards learning Chinese language as a second language (CLSL) in national school.  The study presented empirical evidence of validity and reliability using the Rasch Model.   Pilot study was conducted in a national school which has students enrolled for the CLSL class.   There were 29 students in this pilot study.  Data was  analyzed using WINSTEPS version 3.72.3.  The result showed the reliability of the motivation scale is 0.87 based on Cronbach’s alpha.  The construct validity was determined by PT-measure correlation value (PMC) range from 0.71 to 0.86, infit and outfit MNSQ  between 0.53 to 1.43 and ZSTD range from -1.1 to 1.2. In unidimensional measure, raw variance explained was at 66.4%  with the unexplanined variance in the first factor was at 13.6%.  Finally the fit statistics showed that person separation index, 2.79 was considered good and item separation index, 1.81was in acceptable range (Linacre,2012).  Person and item reliability were at 0.89 and 0.77 respectively.  The result indicated that the new instrument with 15 items-IIM after eliminated unfit items was a reliable and valid instrument to measure the motivation in learning CLSL in the context of national school.
Volume: 7
Issue: 4
Page: 264-269
Publish at: 2018-12-01

3D Double Gate FinFET Construction of 30 nm Technology Node Impact Towards Short Channel Effect

10.11591/ijeecs.v12.i3.pp1358-1365
Ameer F. Roslan , F. Salehuddin , A.S. M.Zain , K.E. Kaharudin , H. Hazura , A.R Hanim , S. K Idris , B.Z. Zarina , Afifah Maheran A.H
This paper presents an investigation on properties of Double Gate FinFET (DGFinFET) and impact of physical properties of FinFET towards short channel effects (SCEs) for 30 nm device, where depletion-layer widths of the source-drain corresponds to the channel length aside from constant fin height (HFIN) and the fin thickness (TFIN). Virtual fabrication process of 3-dimensional (3D) design is applied throughout the study and its electrical characterization is employed and substantial is shown towards the FinFET design whereby in terms of the ratio of drive current against the leakage current (ION/IOFF ratio) at 563138.35 compared to prediction made by the International Technology Roadmap Semiconductor (ITRS) 2013. Conclusively, the incremental in ratio has fulfilled the desired in incremental on the drive current as well as reductions of the leakage current. Threshold voltage (VTH) meanwhile has also achieved the nominal requirement predicted by the International Technology Roadmap Semiconductor (ITRS) 2013 for which is at 0.676±12.7% V. The ION , IOFF and VTH obtained from the device has proved to meet the minimum requirement by ITRS 2013 for low performance Multi-Gate technology.
Volume: 12
Issue: 3
Page: 1358-1365
Publish at: 2018-12-01

A New Frequency for Offshore Wind-farm Based on Component Loss Calculation

10.11591/ijape.v7.i3.pp227-234
Koganti Srilakshmi , P. Aravindhababu , P. Ravi Babu
Offshore wind power plants are gaining importance in recent years, as there is adequate space available for its installation, high wind speed, no restriction on the size of turbine blades (no transportation and construction problem) and blades can be allowed to rotate at higher speed without any noise constraint, thereby increasing the rated power. However, the existing offshore wind farms face greater cost related challenges than those of onshore plants. The integration of offshore wind farm with onshore power grid is a complex issue. Feasible solutions for power transmission through cables from offshore wind farms to onshore are HVAC, line commutated HVDC  and  VSC-HVDC.  This paper analyses the various schemes for integration of offshore wind farm with onshore power grid and suggests that LFAC with submarine cable operating at 0.7 Hz is an optimal choice in obtaining better performances. 
Volume: 7
Issue: 3
Page: 227-234
Publish at: 2018-12-01

Hybrid Genetic Algorithms and Simulated Annealing for Multi-trip Vehicle Routing Problem with Time Windows

10.11591/ijece.v8i6.pp4713-4723
Amalia Kartika Ariyani , Wayan Firdaus Mahmudy , Yusuf Priyo Anggodo
Vehicle routing problem with time windows (VRPTW) is one of NP-hard problem. Multi-trip is approach to solve the VRPTW that looking trip scheduling for gets best result. Even though there are various algorithms for the problem, there is opportunity to improve the existing algorithms in order gaining a better result. In this research, genetic algoritm is hybridized with simulated annealing algoritm to solve the problem. Genetic algoritm is employed to explore global search area and simulated annealing is employed to exploit local search area. Four combination types of genetic algorithm and simulated annealing (GA-SA) are tested to get the best solution. The computational experiment shows that GA-SA1 and GA-SA4 can produced the most optimal fitness average values with each value was 1.0888 and 1.0887. However GA-SA4 can found the best fitness chromosome faster than GA-SA1.
Volume: 8
Issue: 6
Page: 4713-4723
Publish at: 2018-12-01

Light Control and Watering System in Greenhouse for The Cultivation of Chrysanthemum Sp

10.11591/ijeecs.v12.i3.pp950-957
Adam Faroqi , Muhammad Ali Ramdhani , Muhammad Fahmi Amrillah , Lia Kamelia , Eneng Nuraeni
Chrysanthemum (Chrysanthemum Sp) is sensitive to temperature and humidity. The greenhouse is an appropriate planting medium since temperature and humidity can be engineered there. This article presents the design of systems using DHT-22 and SEN0057 sensors. Real Time Clock (RTC) is used for providing timing input and functions as an extra light intensity timer. Arduino Mega 2560 is used as a microcontroller functioning to receive the results of sensor measurement and to give output instructions to condition the temperature and humidity. The testing on chrysanthemum Sp placed inside the greenhouse equipped with the system for 7 days shows an increase of height of 3.7 cm. As for chrysanthemum Sp placed outside the greenhouse equipped with the system for 7 days, there is an increase of height of 0, 2 cm. These greenhouse light control and Watering systems can engineer the temperature and humidity in accordance with the needs of chrysanthemum Sp cultivation in the greenhouse. 
Volume: 12
Issue: 3
Page: 950-957
Publish at: 2018-12-01

Cardiac Motions Classification on Sequential PSAX Echocardiogram

10.11591/ijeecs.v12.i3.pp1289-1296
Adam Shidqul Aziz , Riyanto Sigit , Achmad Basuki , Taufik Hidayat
Cardiac wall motions classification on 2-dimensional (2D) echocardiographic images is an important issue for quantitative diagnosiing of heart disease. Unfortunately, the bad quality of echocardiogram cause computationally classification on cardiac wall motions is still become a big homework for many researchers to provide the best result. Echocardiogram is produced by soundwaves which absolutely make its images have speckle noise in different intensity. Therefore, this research improves a set of methodology to classify cardiac wall motion semi-automatically. Raw echocardiogram will be enhanced and segmented to take the boundary of endocardium of left ventricular in PSAX cardiac images. New improvement of Semi-automatically methodology is approach on detecting the contour of endocardium and will be inputed as good features in Lucas-Kanade Optical Flow in all sequential echocargraphic images. On classifying cardiac wall motions, this research proposes two important features including length of displacement and flow direction. New proprosed flow determination algorithm and Euclidean distance is used to calculate those features. All the features will be trained by Neural Network (NN) and validated by Leave One Out (LOO) to get accurate result. NN method, which is validated by LOO, has the best result of 81.82% correctness than the other compared methods.
Volume: 12
Issue: 3
Page: 1289-1296
Publish at: 2018-12-01

Seven Level Inverter Fault Mitigation Using Redundant Cell for Induction Motor Drive

10.11591/ijape.v7.i3.pp284-298
B. Madhu Kiran , B. V. Sanker Ram
Faults that might occur in inverter driven induction motor drives. In this paper, seven-level multi level inverter was taken up for testing of mitigation using redundant cell and the results were compared with five-level inverter to exhibit the performance of mitigation policy. This paper presents analysis of inverter feeding an induction motor drive when switch open and short fault occurs. When the fault occurs, the redundant cell activates and thus the drive system operates. In this paper, the function for redundant cell was explained with the results of drive system simulated in Matlab/Simulink.
Volume: 7
Issue: 3
Page: 284-298
Publish at: 2018-12-01

Robust Speed-Sensorless Vector Control of Doubly Fed Induction Motor Drive Using Sliding Mode Rotor Flux Observer

10.11591/ijape.v7.i3.pp235-250
Djamila Cherifi , Yahia Miloud
This paper presents a robust observer for sensorless speed control of doubly fed induction motor (DFIM), based on the slidin mode. In the first step, a model of the doubly fed induction motor fed by two PWM inverters with separate DC bus link is developed. In the second step and in order to provide a robust separate control between flux and motor speed a vector control by field oriented strategy applying a sliding mode regulator was implemented. Finally, speed estimation of a doubly fed induction motor based on sliding mode observer is presented. The simulation tests schow the effectiveness of the proposed method especially in the load disturbances, the change of the refrence speed and low speed. Also the influence of parameter variations will be studied by simulation
Volume: 7
Issue: 3
Page: 235-250
Publish at: 2018-12-01

Descending Viewer Method for Fault Tolerant Control

10.11591/ijape.v7.i3.pp199-210
K. Lenin
In this paper Descending Viewer Method (DVM) projected for finding and fault tolerant control of stator inter-turn short circuit faults in doubly-fed induction generators based in wind turbine. A process has been developed that allows the way from ostensible controllers designed for strong condition, to vigorous controllers designed for defective condition. Finally value of the rotor resistance estimated & is based on the use of the error between real and probable value of doubly fed induction generator (DFIG) in faulty condition, this will perk up the performance of this viewer. Simulation results show the reliability of the proposed Descending Viewer Method (DVM) approach.
Volume: 7
Issue: 3
Page: 199-210
Publish at: 2018-12-01

Multicarrier SPWM Control Techniques for Three Phase Eleven Level Diode Clamped Multilevel Inverter and Hybrid Inverter with Reduced Number of Components

10.11591/ijape.v7.i3.pp251-263
N. Susheela , P. Satish Kumar
A comparative analysis of three phase eleven level diode clamped multilevel inverter (DCMLI) and hybrid inverter is performed in this paper in which the later requires fewer carrier signals, less number of devices and gate drive circuits. The performance is evaluated using phase disposition (PD), alternate phase opposition disposition (APOD) and carrier overlapping (CO) sinusoidal pulse width modulation (SPWM) methods. The hybrid multilevel inverter has superior features over diode clamped multilevel inverters and is more efficient since the positive levels of the inverter that are generated  by high frequency switches (level generation part), are reversed by low frequency switches (polarity generation part) when the voltage polarity is required to be changed for negative polarity. Therefore, the overall cost and complexity of the hybrid inverter are greatly reduced particularly for higher inverter output voltage levels. Simulation is performed for three phase eleven level diode clamped multilevel inverter and hybrid multilevel inverter using MATLAB/Simulink for induction motor load and the total harmonic distortion is evaluated at different load torques.
Volume: 7
Issue: 3
Page: 251-263
Publish at: 2018-12-01
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