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28,451 Article Results

Artificial Neural Network Based Economic Generation Scheduling in Nigeria Power Network

10.11591/ijaas.v3.i4.pp206-214
Omorogiuwa Eseosa , Onohaebi S.O
Economic generation scheduling determines the most efficient and economic means of dispatch of generated energy to meet the continuously varying load demand at the most appropriate minimum cost, while meeting all the units equality and inequality constraints in  power network. This is currently not applicable in Nigeria power network. The network under study consists of seventeen (17) generating stations (Existing Network, National Integrated Power Projects and the Independent Power Producers). This work investigates economic generation and scheduling in Nigeria 330KV integrated power network at minimum operating cost using the classical kirmayer’s method and Artificial Neural Network (ANN) for its optimization in Matlab environment. ANN is trained to adopt its pattern at different load demands and acquires the ability to give load demand as soon as the set target and goal tends to equality. Cost function for each generating unit as well as a model for economic generation scheduling was developed.
Volume: 3
Issue: 4
Page: 206-214
Publish at: 2014-12-01

Modeling The Influential Factors Of 8th Grades Student’s Mathematics Achievement In Malaysia By Using Structural Equation Modeling (SEM)

10.11591/ijaas.v3.i4.pp172-177
Ahmad Nazim
This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) was used. The questionnaire were distributed by using two stage stratified cluster sampling technique to 5733 eighth grades students in Malaysia. A Confirmatory Factor Analysis (CFA), Discriminant Validity and Path Analysis had been conducted to obtain the best fit model of SEM. At the end of the study, a best fit model will be obtained for a better accuracy and precision estimation in further analysis.
Volume: 3
Issue: 4
Page: 172-177
Publish at: 2014-12-01

Cut Detection in Remote Versatile Wireless Sensor Mobile Networks

10.11591/ijaas.v3.i4.pp202-205
LEELADHAR annepu
A remote sensor system can get differentiated into different joined segments because of the disappointment of some of its hubs, which is known as a "cut". In this project we consider the issue of catching cuts by the remaining hubs of a remote sensor system. We propose a calculation that permits (i) each hub to recognize when the integration to an exceptionally assigned hub has been lost, and (ii) one or more hubs (that are associated with the uncommon hub after the cut) to discover the event of the cut. The calculation is circulated and non concurrent: each hub needs to correspond with just those hubs that are inside its correspondence range. The calculation is focused around the iterative processing of an imaginary "electrical potential" of the hubs. The union rate of the hidden iterative plan is autonomous of the size and structure of the system. Remote Sensor Networks (Wsns) comprise of a huge number of small hubs having the ability of sensing, calculation, and remote correspondences. Remote sensor system can endure part issue in the system which is known as a cut. So a solitary topology of the system breaks into two or more parts. Here we examine a few slice recognition systems to discover the cuts in WSN.
Volume: 3
Issue: 4
Page: 202-205
Publish at: 2014-12-01

The Preprocessing and Probing Technique of Open Capacitated Vehicle Routing Problem with Split and Time Deadline (OCVRP-St) Model In Rubbish Transportation Problem

10.11591/ijaas.v2.i4.pp193-200
Irmeilyana Irmeilyana , Fitri Maya Puspita , Indrawati Indrawati , Fitra Nur Azizah
The activity of rubbish transportation in Palembang is one of the applications of Vehicle Routing Problem (VRP) in transporting rubbish in Sako Palembang by applying preprocessing and probing techniques to obtain simplest OCVRP model. The solution is conducted by using LINDO software. The results show that the optimal routes in Sukarami before and after applying the tehniques are the same routes. In addition, we obtain the reduction of constraints and variables, the reduction of iteration numbers and the optimal value did not change.
Volume: 2
Issue: 4
Page: 193-200
Publish at: 2014-12-01

A Review: Management of Alternaria and its Mycotoxins in Crops

10.11591/ijaas.v3.i4.pp165-171
Brian Gagosh Nayyar , Shaista Akhund , Abida Akram
The Deuteromycetes fungal genus Alternaria comprises of different saprophytic as well as endophytic species which are very common and worldwide in their occurance. Importance host plants include several crops. Alternaria spp. generally attacks the aerial ptarts of its host and early blight diseases caused by these fungi inflict serious damage to these crops. There is a growing concern of Alternaria spp. due to their ability to produce mycotoxins with different toxicological properties, which are harmful for human and animal health. Accurate identification of Alternaria spp. and their metabolites is a crucial phase in the implementation of preventive measures and controls in the system from farm to fork. Considering the importance of Alternaria spp. occurance on crops and Alternaria toxins risk assesment, additional studies in this area are indispensable.
Volume: 3
Issue: 4
Page: 165-171
Publish at: 2014-12-01

Emperical Computation of Solar Radiation and Determination of Regression Coefficients for Khulna City

10.11591/ijeecs.v12.i12.pp8015-8021
Mohammad Arif Sobhan Bhuiyan , Abdus Sobhan Bhuiyan , Muhammed Jamshed Alam Patwary , Subrina Akter , Mohammad Monjur Alam
This study is accomplished to calculate global, diffuse and direct solar radiation empirically on a horizontal surface for the divisional district “Khulna” in Bangladesh (latitude 22o47΄N and longitude 89o34΄E) as well as to predict correlations for it by using several meteorological data for 32 years between 1980 and 2012. The global radiation is found to be maximum in the month of April and minimum in the month of December here. The estimated values of the Angstrom’s regression constants a and b are 0.2388 and 0.5228 respectively. The other regression constants were also computed and the correlations proposed for Khulna can be used in future for the estimation of global, diffuse and direct solar radiation if the meteorological parameters remain available.
Volume: 12
Issue: 12
Page: 8015-8021
Publish at: 2014-12-01

Magnetic Field Effect on the Electrical Characteristics of a Monocrystalline n+pp+ Silicon Solar Cell

10.11591/ijaas.v3.i4.pp196-201
sarhan musa
In this paper, the effect of magnetic field on I-V characteristics of a silicon solar cell of n+pp+ structure is studied in dark and illumination modes. In dark, both the current and the voltage decrease with increasing the magnetic field in forward bias. However in reverse bias, the behavior is different. Under illumination, the effect of magnetic field on I-V characteristics of the silicon solar cell is studied experimentally and simulated using Neural Network Algorithm (NNA). Both short circuit current (Isc) and open circuit voltage (Voc) are measured under the influence of magnetic field. The solar cell efficiency and the fill factor (FF) are calculated without and with the magnetic field. This performance testing of the solar cell under magnetic field can be considered as one of the non-destructive reliability tools.
Volume: 3
Issue: 4
Page: 196-201
Publish at: 2014-12-01

Modeling and Analysis of Transformerless High Gain Buck-boost DC-DC Converters

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5026
Vu Tran , Mufeed MahD
This paper proposes a transfomerless switched capacitor buck boost converter model, which provides higher voltage gain and higher efficiency when compared to the conventional buck boost converter. The averaged model based on state-space description is analyzed in the paper. The simulation results are presented to confirm the capability of the converter to generate high voltage ratios. The comparison between the proposed model and the traditional model is also provided to reveal the improvement. The proposed converter is suitable for for a wide application which requires high step-up DC-DC converters such as DC micro-grids and solar electrical energy.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6386
Volume: 4
Issue: 4
Page: 528-537
Publish at: 2014-12-01

Dispositif Pédagogique Pour L’apprentissage Des Oxydations Respiratoires Et La Résolution De Problèmes Non Routiniers

https://ijere.iaescore.com/index.php/IJERE/article/view/4484
Mathias Kyélem , Daniel Favre
In the sixth option D Form classroom, breathing is considered in terms of respiratory gas exchange and bioenergetics. The syllabus is generally away from the concept of breathing as seen in social representations and elsewhere at school, which is close to the old conceptions in many respects. Former introduction to those old conceptions hinders students’ ability to relate the enzymatic processes they are learning and the knowledge acquired in lower classes from the study of nutritional functions. This makes it necessary to develop teaching methods likely to incite learning in other disciplines and favor knowledge transfer towards solving non-routine problems. An experiment was conducted in Burkina Faso taking into account these issues and using a pedagogical device implementing a method of learning through problem-solving and integrating error treatment by teachers and socio-cognitive debate. This device, developed by the LIRDEF’s Didactics and Socialization Department, University of Montpellier II, shows that when students’ autonomy and right to make errors are valued and their emotional security guaranteed, they make significant learning following confrontation of their arguments.DOI: http://dx.doi.org/10.11591/ijere.v3i4.6937
Volume: 3
Issue: 4
Page: 245-258
Publish at: 2014-12-01

A Difference-Based Feature Description Method of Image Target

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3945
Qiang Gao , Wu Yang , Hongye Yang
This paper proposed a new method of feature description for target recognition and matching. Firstly, a method of calculating the difference was defined. The gray value matrix of an image was converted to a difference value matrix. Then the difference value, shape, angle and other features of a region and the combined features between regions were described. Finally, the method was applied to identify traffic signs. Experiments showed that the proposed method can represent multiple features of image such as the gray differences, the shape changes, and so on. Through theoretical and simulation analysis, even under rotation, shift or scale transformation, new features description method still can correctly recognize the target.  http://dx.doi.org/10.11591/telkomnika.v12i12.6568 
Volume: 12
Issue: 12
Page: 8268-8277
Publish at: 2014-12-01

Islanding Detection of Inverter Based DG Unit Using PV System

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5017
M. Divyasree , L.Venkata Narasimha Rao
Distributed generation (DG) units are rapidly increasing and most of them are interconnected with distribution network to supply power into the network as well as local loads Islanding operations of DG usually occur when power supply from the main utility is interrupted due to several reasons but the DG keeps supplying power into the distribution networks. a new method for islanding detection of inverter-based distributed generation (DG). Although active islanding detection techniques have smaller non detection zones than passive techniques, active methods could degrade the system power quality and are not as simple and easy to implement as passive methods. The phenomenon of unintentional islanding occurs when a distributed generator (DG) continues to feed power into the grid when power flow from the central utility source has been interrupted. A simple islanding detection scheme has been designed based on this idea. The proposed method has been studied under multiple-DG operation modes and the UL 1741 islanding tests. The simulations results, carried out by MATLAB/Simulink, show that the proposed method has a small Non detection zone.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6257
Volume: 4
Issue: 4
Page: 438-450
Publish at: 2014-12-01

Characteristics in Classification of Information Use (IU)

10.11591/ijict.v3i3.pp178-185
Albarda Albarda
Conventionally, information quality or IQ used in most researches and also in practice as dimensions of characteristics which inherent in valuable information. IQ is characteristic measures based on information production processes. As a result, it may not be a valuable for its users and even for enterprise value. Our approach is to define a new information characteristic based on process of information consumption or usage, called IU as complement to IQ. The characteristics in IU consists of two dimensions ie: (i) conformity on repackaging and (ii) originality on exchange information for users. Parameters for this dimensions acquired using features extraction from IU process in each layer of enterprise management. The paper also describes how to apply the new characteristics practically to provide a higher information values for enterprise.
Volume: 3
Issue: 3
Page: 178-185
Publish at: 2014-12-01

Ultra-Wideband Patch Antenna for K-Band Applications

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3943
Umair Rafique , Syed Ahsan Ali
An ultra-wideband patch antenna is presented for K-band communication. The antenna is designed by employing stacked geometry and aperture-coupled technique. The rectangular patch shape and coaxial fed configuration is used for particular design. The ultra-wideband characteristics are achieved by applying a specific surface resistance of 75 ohm/square to the upper rectangular patch and it is excited through a rectangular slot made on the lower patch element (made of copper). The proposed patch antenna is able to operate in the frequency range of 12-27.3 GHz which is used in radar and satellite communication, commonly named as K-band. By employing a technique of thicker substrate and by applying a specific surface resistance to the upper patch element, an impedance bandwidth of 77.8\% is achieved having VSWR less than 2. It is noted that the gain of proposed antenna is linearly increased in the frequency range of 12-26 GHz and after that the gain is decreased up to 6 dBi. Simulation results are presented to demonstrate the performance of proposed ultra-wideband microstrip patch antenna.  http://dx.doi.org/10.11591/telkomnika.v12i12.6520 
Volume: 12
Issue: 12
Page: 8252-8256
Publish at: 2014-12-01

Proposed Voltage Vector to Optimize Efficiency of Direct Torque Control

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5031
Goh Wee Yen , Ali Monadi , Nik Rumzi Nik Idris , Auzani Jidin , Tole Sutikno
Compared to field-oriented control (FOC) system, direct torque control (DTC) system has gained attractiveness in control drive system because of its simpler control structure and faster dynamic control. However, supplying the drive system with rated flux at light load will decrease the power factor and efficiency of the system. Thus, an optimal flux has been applied during steady-state in order to maximize the efficiency of drive system. But when a torque is suddenly needed, for example during acceleration, the dynamic of the torque response would be degraded and it is not suitable for electric vehicle (EV) applications. Therefore, a modification to the voltage vector as well as look-up table has been proposed in order to improve the performance of torque response.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6918
Volume: 4
Issue: 4
Page: 578-586
Publish at: 2014-12-01

Research and Application on Fractional-Order Darwinian PSO Based Adaptive Extended Kalman Filtering Algorithm

10.11591/ijra.v3i4.pp245-251
Qiguang Zhu , Mei Yuan , Yao-long Liu , Wei-dong Chen , Ying Chen , Hong-rui Wang
To resolve the difficulty in establishing accurate priori noise model for the extended Kalman filtering algorithm, propose the fractional-order Darwinian particle swarm optimization (PSO) algorithm has been proposed and introduced into the fuzzy adaptive extended Kalman filtering algorithm. The natural selection method has been adopted to improve the standard particle swarm optimization algorithm, which enhanced the diversity of particles and avoided the premature. In addition, the fractional calculus has been used to improve the evolution speed of particles. The PSO algorithm after improved has been applied to train fuzzy adaptive extended Kalman filter and achieve the simultaneous localization and mapping. The simulation results have shown that compared with the geese particle swarm optimization training of fuzzy adaptive extended Kalman filter localization and mapping algorithm, has been greatly improved in terms of localization and mapping.
Volume: 3
Issue: 4
Page: 245-251
Publish at: 2014-12-01
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