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28,428 Article Results

Self-Tuning VGPI Controller Based on ACO Method Applied for WTGS system

10.11591/ijaas.v6.i2.pp162-174
Madaci Mansour , Djallel Kerdoun
The stability and the fast response are two parameters to evaluate the efficiency of any system, and the acknowledgement of the mathematic model studied and its parameters are strongly required. In order to build the regulation and the control of the system, different methods are used. Some are traditional (PI, PD, PID…); whereas, others are modern (Fuzzy logic, neural networks, statistical algorithms, genetic algorithms, VGPI and so on…).In this paper, we focused on the presentation of a new method which we call the scheduling regulation based on a particle swarm optimization. A stochastic diffusion search method that takes inspiration from the social behaviors of real ants with their environment. Ant colony optimization algorithms (ACO) presents a promising performance which is a self-organized regulation system with no need to the acknowledgment of both the mathematic model and the parameters of the systems from a side, and it can insure the stability and the fast response of the system from another side.
Volume: 6
Issue: 2
Page: 162-174
Publish at: 2017-06-01

Review on Recent Advances in Titanium Dye Oxide Nanoparticles for Dye Sensitized Solar Cell Applications

10.11591/ijaas.v6.i2.pp126-135
divya Chandran
Alternate energy source becomes a crucial for green energy solution against ever increasing demand. Dye Sensitized solar cell is another promising option toward green energy providing opportunity to explore natural dye extracts from plants. This review explores recent developments in the field of Dye Sensitized solar cell technology specifically with sensitizer synthesized from plants which are also found in India. Anthocyanin, betalain, chlorophyll and carotenoids are among the most common plant pigments explored as sensitizers. The review of different attempts on fabrication of natural dye based solar cells implies that titanium dioxide (TiO2) nano particles can be used as photoanode, platinum (Pt) as counter electrode and iodine/iodide electrolyte. Plant pigments are highly pH sensitive and can alter solar cell performance based on its extraction method, concentration and its ability to anchor with photoanode. Stability of dye, absorption in near IR range and leakage of liquid electrolyte are few of the challenges ahead. However, natural dye is biodegradable and non-toxic having most of the extraction process harmless to environment. In addition, natural dye has the promising future as it is abundant. 
Volume: 6
Issue: 2
Page: 126-135
Publish at: 2017-06-01

Writer Identity Recognition and Confirmation Using Persian Handwritten Texts

10.11591/ijaas.v6.i2.pp98-105
Aida Sheikh , Hassan Khotanlou
There are many ways to recognize the identity of individuals and authenticate them and the modern world still is looking for unique biometric features of humans. The recognition and authentication of individuals with the help of their handwriting is regarded as a research topic in recent years. It is widely used in the field of security, legal, access control to systems and financial activities. This thesis tries to examines the identification and authentication of individuals in Persian (Farsi) handwritten texts so that the identity of the author can be determined with a handwritten text, and in the authentication problem, with having two handwritten texts, it is determined that whether both manuscripts belong to a specific person or not. The proposed system for recognizing the identity of the author in this study can be divided into two main parts: one part is intended for training and the other for testing. To assess the performance of introduced characteristics, the Hidden Markov Model (HMM) is used as the classifier; thus, a model is defined for each angular characteristic. The defined angular models are connected by a specific chain network to form a comprehensive database for classification. This database is then used to determine and authenticate the author.
Volume: 6
Issue: 2
Page: 98-105
Publish at: 2017-06-01

A CFD Study with Fuzzy Logic Pitch Angle Turbine Control Implementation for OWC Generation System

10.11591/ijaas.v6.i2.pp175-184
Mansour Madaci , Djallel Kerdoun
The paper takes the improvement of the performance for an OWC converter from the mechanical side. A FEM model of the OWC conversion structure was proposed, studied and simulated using a CFD simulator. A novel wave generation method was applied through the RWMD method (Real Wave Model Simulator) instead of using an ordinary sin wave generator on the tank to make the waves the closest possible to the real sea waves. A mechanical prototype was built for this purpose to get an oscillated wave model. On the electrical side, a pitch angle control system based on fuzzy set was applied on the turbine to be auto-adapted for the fast variation of the airflow speed to establish and maximize the extracted power from the OWC device. The model have been studied, simulated, implemented and tested to validate the obtained results.
Volume: 6
Issue: 2
Page: 175-184
Publish at: 2017-06-01

Voltage Ripple Reduction in Voltage Loop of Voltage Source Converter

10.11591/ijpeds.v8.i2.pp869-881
Jedsada Jaroenkiattrai , Viboon Chunkag
In order to achieve a good dynamical response of a full-bridge AC-DC voltage source converters (VSC). The bandwidth of PI controller must be relatively wide. This leads to the voltage ripple produced in the control signal, as known that its ripple frequency has twice of the line frequency and cause the 3rd harmonic of an input current. A Ripple Voltage Estimator (RVE) algorithm and Feed-Forward Compensation (FFC) algorithm are proposed and added to the conventional control. The RVE algorithm estimated the ripple signal to subtract it occurring in the voltage loop. As a result, the 3rd harmonic of the input current can be reduced, and hence the Total Harmonic Distortion of input current (THDi) are improved.  In addition, the FFC algorithm will offer a better dynamical response of output voltage. The performance evaluation was conducted through the simulation and experiment at 110Vrms/50Hz of the input voltage, with a 600 W load and 250 Vdc output voltage. The overall system performances are obtained as follows: the power factor at the full load is higher 0.98, the harmonic distortion at AC input power source of the converter is under control in IEC61000-3-2 class A limit, and the overall efficiency is greater than 85%.
Volume: 8
Issue: 2
Page: 869-881
Publish at: 2017-06-01

Optimum Design of GA-BF Algorithm Based PID Controller for the Solar System

10.11591/ijaas.v6.i2.pp136-144
S. Mallika , R. Saravanakumarf
This paper presents a new approach based on the genetic algorithm (GA) and Bacterial Foraging (BF) is used to perform a constrained tuning technique for the PID parameters to optimize the power output of solar panel. A small-signal model is used to design the controller parameters of the conventional PID controller. The dynamics of the converter is non linear, therefore, it is hard to derive desirable performance. So hybrid algorithm is used to optimize the control parameters of boost converter. In order to obtain the fitness of an individual, Simulink model of the boost converter is designed and the hybrid algorithm is programmed to design the optimal control parameters. It was found that the proposed optimal PID controller parameters adjustment by the GA-BF algorithm is superior to the conventional method. The Matlab/Simulink was used to verify the effectiveness of proposed control method.
Volume: 6
Issue: 2
Page: 136-144
Publish at: 2017-06-01

A Decision System for Predicting Diabetes using Neural Networks

10.11591/ijai.v6.i2.pp56-65
K. Chandana Rani , Y. Prasanth
Diabetic retinopathy (DR) is an eye fixed ill complete by the impairment of polygenic disorder and that we purchased to acknowledge it before of calendar for sensible treatment. On these lines, 2 social occasions were perceived, specifically non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR). During this paper, to dissect diabetic retinopathy, 3 models like Probabilistic Neural framework (PNN), Bayesian Classification and Support vector machine (SVM) square measure pictured and their displays square measure thought-about. The live of the unwellness unfold within the membrane are often recognized by analytic the elements of the membrane. The elements like veins, hemorrhages of NPDR image and exudates of PDR image square measure off from the unrefined photos victimization the icon prepare techniques, fed to the classifier for gathering a complete of 350 structure photos were used, out of that100 were used for designing and 250 pictures were used for testing. Exploratory results show that PNN has an accuracy of 89.6 % Bayes Classifier incorporates a exactness of 94.4% and SVM has an exactitude of 97.6%. What is more our system is equally continue running on 130 pictures open from "DIARETDB0: Evaluation Database and Procedure for Diabetic Retinopathy" and also the results show that PNN incorporates a exactness of 87.69% Bayes Classifier has an accuracy of 90.76% and SVM has a precision of 95.38%.
Volume: 6
Issue: 2
Page: 56-65
Publish at: 2017-06-01

Analytical Comparision between Single and Modular Fuel Cell Stack: Uniform Modular Cell Approch

10.11591/ijaas.v6.i2.pp89-97
Megavath Venkatesh Naik , Paulson Samuel
A single fuel cell (FC) produces a very small voltage of about 0.6 -0.8 V under normal operating condition, and hence several individual cells are connected in series as a stack to get higher voltages suitable for practical loads. The stacks are then connected in series to get required values of DC voltage. The FC performance varies with the operating parameters such as temperature, humidity, fuel flow rate, ageing and fuel non uniform concentration. The FC stack underperforms when there is presence of bad cell in it. The Presence bad cell in a stack limits the current handling capacity of other healthy cells when it’s connected as a conventional single stack. This can be overcome by connecting the fuel cells in uniform modular cell configuration. In this paper a Uniform Modular Cell Configuration (UMCC) is proposed to gain the maximum power from the stack and the conventional Single or Uni Stack Configuration (USC) is compared with the proposed structure. A detail mathematical analysis of comparing both methods is described. Further the superiority of the proposed method is proven by carrirying out the simulations under steady state operating condition of a FC stack feeding to a constant current load.
Volume: 6
Issue: 2
Page: 89-97
Publish at: 2017-06-01

Novel Compensation Method to Reduce Rotor Position Estimation Error and Torque Reduction in Signal Injection Based PMSM Drives

10.11591/ijpeds.v8.i2.pp548-557
Ravikumar Setty Allampalli , PurnaPrajna R Mangsuli , Kishore Chatterjee
High frequency signal injection techniques are widely used to extract rotor position information from low speed to stand still. Accuracy of estimated rotor position is decreased when stator winding resistance is neglected. Position estimation error also results in output Torque reduction. Parasitic resistance of stator winding causes significant position estimation error and Torque reduction, if not compensated. Signal injection techniques developed in the literature does not provide detailed analysis and compensation methods to improve rotor position estimation of PMS Motors, where stator winding resistance cannot be neglected. This work analyzes the stator winding resistance effect on position estimation accuracy and proposes novel compensation technique to reduce the position estimation error and torque reduction introduced by stator winding resistance. Prototype hardware of a self-sensing PMSM drive is developed. The effectiveness of the proposed method is verified with the MATLAB/Simulink simulations and experimental results on a prototype self-sensing PMSM drive.
Volume: 8
Issue: 2
Page: 548-557
Publish at: 2017-06-01

Three-Phase Three-Level Soft Switching Dc-Dc Converter for Industrial Applications

10.11591/ijpeds.v8.i2.pp785-794
J. Sivavara Prasad , Y.P. Obulesh , Ch. Sai Babu
In high power DC applications, the single-phase DC-DC converter will face large voltage and current stress in each control switch and thereby the power handling capacity is less. To overcome this problem, three-phase DC-DC converter is used and it is suitable for high power applications with reduced number of switches as compared with the conventional topologies. The asymmetrical duty cycle control is considered to operate the switches under soft switching and hence the switching losses are reduced. The transformer leakage inductances are used along with junction capacitances in order to form resonance and hence ZVS commutation is possible in a wider load range. The modified phase shift control method is used for the proposed converter.The operational modes and design equations of the proposed converter have been observed. The simulation is carried out with a load of 1000W for validating the proposed work.
Volume: 8
Issue: 2
Page: 785-794
Publish at: 2017-06-01

Improving Voltage Profile and Reducing Network Losses by Integration of Wind Farm and Thyristor-Switched Series Capacitors

10.11591/ijaas.v6.i2.pp145-155
Milad Gheydi , Farshid Abdolahnejad Baroogh
This paper aims at improving voltage profile and reducing the losses of active and reactive powers. The impact of wind turbines on voltage profile and power losses in critical buses is evaluated. Wind turbines, reactive power resources, i.e. thyristor-switched series capacitors, are connected to the network in mentioned states. In this study different conditions are individually and simultaneously considered with/without the wind turbines and thyristor-switched series capacitors in normal states of the network. Next, voltage profile, active power, reactive power, and the network losses are dealt with in the presence/absence of wind turbines and thyristor-switched series capacitors considering a sudden fault occurred in one power line, and the simulation results are compared with each other. The results indicate that using thyristor-switched capacitors together with the wind farm can provide enough active and reactive power for the network which increases the network capacity and decreases its losses using genetic algorithms.
Volume: 6
Issue: 2
Page: 145-155
Publish at: 2017-06-01

Design of Converters for PV System Under Partial Shading Conditions

10.11591/ijaas.v6.i2.pp77-88
M. Kowsalya , K. Balsubramanyam
This paper presents a maximum power generation with the interconnection of photovoltaic modules under partially shaded and/or mismatching conditions. The partial shading condition reduces power level of each module. The reduction in power due to the partial shading will be compensated by the bidirectional converter. The proposed system consisting of two and three PV modules connected in series under partial shading conditions which are capable of increasing the power levels up to 50% compared to conventional by-pass diode structure. In general ‘n’ number of modules connected in series so that the maximum power gain will be expected to (100/n) %. This is achieved by developing the new control strategy in which the correct adjustment of converter duty ratio under partially shading conditions. The novel control scheme is developed by using analysis of the power converters. The proposed scheme was verified in MATLAB/SIMULINK.
Volume: 6
Issue: 2
Page: 77-88
Publish at: 2017-06-01

Voltage Stability Improvement in Fourteen Bus System during Line Interruption using DPFC

10.11591/ijpeds.v8.i2.pp705-711
Akhib Khan Bahamani , G.M. Sreerama Reddy , V. Ganesh
DPFC is proposed in the present work to improve voltage stability of fourteen bus system during line interruption. The voltage across the load decreases due to the interruption of the line. State space method is used to calculate Line currents and bus voltages. The ability of DPFC to bring voltage, real power and reactive power to normal level is presented in this paper. The simulation results for healthy system, line interrupted system without DPFC and with DPFC are presented. The results of comparative study are presented to show the improvement in power quality. The simulation studies indicate that the power flow with DPFC during line outage is almost equal to the power during healthy condition.
Volume: 8
Issue: 2
Page: 705-711
Publish at: 2017-06-01

Students’ Critical Thinking Improvement Through PDEODE and STAD Combination in The Nutrition and Health Lecture

10.11591/ijere.v6i2.7589
Tabitha Wulandari , Mohamad Amin , Siti Zubaidah , Mimien IAM
Students’ critical thinking skills are very important in the 21st century. Learning strategies can play a role in enhancing students’ critical thinking skills in the Nutrition and Health lecture. The results of a survey in 2013 showed that the implementation of learning strategies had not given students the opportunity to practice their critical thinking skills optimally. The new strategy, a combination of PDEODE and STAD, can be used to overcome the occurring problems. The purpose of this research was to determine the increase in students’ critical thinking skills in the nutrition and health lecture after they were taught using a combination of PDEODE and STAD. This was a pre-experimental research using a one group pretest-posttest research design. The samples of this research were one class consisting of 41 university students. The results of the test were analyzed with quantitative methods, by using statistical analysis, paired samples T-test, and to know the effectiveness using gain scores. The results showed that the significance was 0.000 (p <0.05) and the gain score was 0.58. Thus, it can be concluded that the strategy of combining PDEODE and STAD can effectively improve the students’ critical thinking skills in the nutrition and health lecture.
Volume: 6
Issue: 2
Page: 110-117
Publish at: 2017-06-01

Classification of Partial Discharge Sources using Statistical Approach

10.11591/ijeecs.v6.i3.pp537-543
L. W. Ren , M. S. Abd Rahman , A. Mohd Ariffin
In high-voltage (HV) power equipment, degradation of insulation has been main concern for protection of equipment. This is due to occurrence of partial discharges (PD) activity within HV insulating systems which can be initiated from different types of local internal or external defects. Thus, partial discharge (PD) identification and classification are important for diagnostic insulation systems problems in order to ensure maintenance process can be carried out effectively and hence improve reliability and durable operation of HV equipment. In this work, the relation of the observable statistical characteristics from PD data with the characteristic of the defect is an important factor to determine the defect inside insulation system. Ultimately, the statistical parameters obtained from PD data can be used to classify different PD sources occur inside HV insulation system. Thus, the objective of this paper is to produce a unique pattern according to discharge source using statistical method. Several statistical parameters such as mean, variance, standard deviation, skewness and kurtosis have been used and analysed.
Volume: 6
Issue: 3
Page: 537-543
Publish at: 2017-06-01
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