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29,325 Article Results

ANFIS Used as a Maximum Power Point Tracking Algorithm for a Photovoltaic System

10.11591/ijece.v8i2.pp867-879
Dragan Mlakić , Ljubomir Majdandžić , Srete Nikolovski
Photovoltaic (PV) modules play an important role in modern distribution networks; however, from the beginning, PV modules have mostly been used in order to produce clean, green energy and to make a profit. Working effectively during the day, PV systems tend to achieve a maximum power point accomplished by inverters with built-in Maximum Power Point Tracking (MPPT) algorithms. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS), as a method for predicting an MPP based on data on solar exposure and the surrounding temperature. The advantages of the proposed method are a fast response, non-invasive sampling, total harmonic distortion reduction, more efficient usage of PV modules and a simple training of the ANFIS algorithm. To demonstrate the effectiveness and accuracy of the ANFIS in relation to the MPPT algorithm, a practical sample case of 10 kW PV system and its measurements are used as a model for simulation. Modelling and simulations are performed using all available components provided by technical data. The results obtained from the simulations point to the more efficient usage of the ANFIS model proposed as an MPPT algorithm for PV modules in comparison to other existing methods.
Volume: 8
Issue: 2
Page: 867-879
Publish at: 2018-04-01

Maximum Power Extraction Method for a Doubly-fed Induction Generator Wind Turbine

10.11591/ijece.v8i2.pp711-722
Dinh Chung Phan , Trung Hieu Trinh
This research presents a new scheme to extract the maximal available power from a wind turbine employing a doubly fed induction generator (DFIG). This scheme is developed from the wind turbine’s MPPT-curve. Furthermore, we propose control laws for the rotor and grid side-converters. The stability of the proposed maximum available power method and the control laws are proved mathematically upon Lyapunov’s stability criterion. Their efficiency is tested through the simulations of a DFIG wind turbine in Matlab/Simulink. Simulation results are analyzed and compared with that using a conventional scheme. Thanks to the suggested scheme, the wind turbine can track its maximum power point better and the electric energy output is higher comparing with that using the conventional scheme. Furthermore, by the suggested controllers, the rotor speed and current of the DFIG converged to their desired values. In other words, the wind turbine can achieve stable operations by the suggested control laws.
Volume: 8
Issue: 2
Page: 711-722
Publish at: 2018-04-01

Development of a Condition Monitoring Algorithm for Industrial Robots based on Artificial Intelligence and Signal Processing Techniques

10.11591/ijece.v8i2.pp996-1009
Alaa Adulhady Jaber , Robert Bicker
Signal processing plays a significant role in building any condition monitoring system. Many types of signals can be used for condition monitoring of machines, such as vibration signals, as in this research; and processing these signals in an appropriate way is crucial in extracting the most salient features related to different fault types. A number of signal processing techniques can fulfil this purpose, and the nature of the captured signal is a significant factor in the selection of the appropriate technique. This chapter starts with a discussion of the proposed robot condition monitoring algorithm. Then, a consideration of the signal processing techniques which can be applied in condition monitoring is carried out to identify their advantages and disadvantages, from which the time-domain and discrete wavelet transform signal analysis are selected.
Volume: 8
Issue: 2
Page: 996-1009
Publish at: 2018-04-01

An Efficient Fingerprint Identification using Neural Network and BAT Algorithm

10.11591/ijece.v8i2.pp1194-1213
Subba Reddy Borra , G. Jagadeeswar Reddy , E. Sreenivasa Reddy
The uniqueness, firmness, public recognition, and its minimum risk of intrusion made fingerprint is an expansively used personal authentication metrics. Fingerprint technology is a biometric technique used to distinguish persons based on their physical traits. Fingerprint based authentication schemes are becoming increasingly common and usage of these in fingerprint security schemes, made an objective to the attackers. The repute of the fingerprint image controls the sturdiness of a fingerprint authentication system. We intend for an effective method for fingerprint classification with the help of soft computing methods. The proposed classification scheme is classified into three phases. The first phase is preprocessing in which the fingerprint images are enhanced by employing median filters. After noise removal histogram equalization is achieved for augmenting the images. The second stage is the feature Extraction phase in which numerous image features such as Area, SURF, holo entropy, and SIFT features are extracted. The final phase is classification using hybrid Neural for classification of fingerprint as fake or original. The neural network is unified with BAT algorithm for optimizing the weight factor.
Volume: 8
Issue: 2
Page: 1194-1213
Publish at: 2018-04-01

Implementation of Dynamic Fuzzy Logic Control of Traffic Light with Accident Detection and Action System using iTraffic Simulation

10.11591/ijeecs.v10.i1.pp100-109
Abdulrahman Abdullah Alkandari , Imad Fakhri Al-Shaikhli
Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system.
Volume: 10
Issue: 1
Page: 100-109
Publish at: 2018-04-01

Tiarrah Computing: The Next Generation of Computing

10.11591/ijece.v8i2.pp1247-1255
Yanish Pradhananga , Pothuraju Rajarajeswari
The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development. Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. In order to combat these technicalities, many new technologies and strategies are being developed. Tiarrah Computing comes up with integration the concept of Cloud Computing, Fog Computing and Edge Computing. The main objectives of Tiarrah Computing are to decouple application deployment and achieve High Performance, Flexible Application Development, High Availability, Ease of Development, Ease of Maintenances etc. Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.
Volume: 8
Issue: 2
Page: 1247-1255
Publish at: 2018-04-01

Verification of Quartz Crystal Microbalance Array using Vector Network Analyzer and OpenQCM

10.11591/ijeecs.v10.i1.pp84-93
Ahmad Anwar Zainuddin , Anis Nurashikin Nordin , Rosminazuin Ab. Rahim , Aliza Aini Md. Ralib , Sheroz Khan , Cyril Guines , Matthieu Chatras , Arnaud Pothier
Quartz Crystal Microbalance (QCM) is a device that allows non-destructive measurements of r in situ reaction activities. In this article, an array comprising of six 3MHz QCM sensors in an array were characterized using a vector network analyzer and OpenQCM, a portable measuring instrument that measures change in resonance frequency. Measurements of S21 transmission characteristics using the vector network analyzer provides the resonance frequency and can also be used to derive the RLC equivalent electrical circuit values of a resonant two-port network based on the Butterworth-Van Dyke model. In this work, Rm, Lm, Cm and Co were obtained via curve-fitting of the measurement results to the simulated results. Measurements were done in triplicates to verify reproducibility for all 6 sensors. For comparison, measurements were also done using a portable, open-source instrument, OpenQCM. The OpenQCM instrument directly measures changes in resonance frequencies, making it ideal for biosensing experiments, which correlate changes in mass with changes in resonance frequencies. Comparison between resonance frequency measurements using VNA and OpenQCM exhibit low percentage difference 0.2%.  This QCM sensor array has the potential of conducting real-time, point-of-care analyses for detection of biological molecules. 
Volume: 10
Issue: 1
Page: 84-93
Publish at: 2018-04-01

Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifetime of Wireless Sensor Network

10.11591/ijece.v8i2.pp1084-1091
Hemavathi P , Nandakumar A. N.
Clustering is one of the operations in the wireless sensor network that offers both streamlined data routing services as well as energy efficiency. In this viewpoint, Particle Swarm Optimization (PSO) has already proved its effectiveness in enhancing clustering operation, energy efficiency, etc. However, PSO also suffers from a higher degree of iteration and computational complexity when it comes to solving complex problems, e.g., allocating transmittance energy to the cluster head in a dynamic network. Therefore, we present a novel, simple, and yet a cost-effective method that performs enhancement of the conventional PSO approach for minimizing the iterative steps and maximizing the probability of selecting a better clustered. A significant research contribution of the proposed system is its assurance towards minimizing the transmittance energy as well as receiving energy of a cluster head. The study outcome proved proposed a system to be better than conventional system in the form of energy efficiency.
Volume: 8
Issue: 2
Page: 1084-1091
Publish at: 2018-04-01

Investigation and Study of Vital Factors in Selection, Implementation and Satisfaction of ERP in Small and Medium Scale Industries

10.11591/ijece.v8i2.pp1150-1155
Kanchana V , Sri Ranjini S
Small and Medium Scale Enterprises in India are the most productive job designers and forerunners in developing new ideas in the field of business. SMEs not only play a vital role in providing large scale employment openings at reasonably lower capital than large businesses but also help in industrialization of rural areas in India. SMEs are complementary to large industries as subsidiary units and this sector contributes immensely to the socio-economic development of the country. Small and Medium scale industries have grown tremendously in the last 5 decades. In spite of high enthusiasm and intrinsic capabilities to grow, there are a number of problems faced by SME‟s; one of them is the „technological obsolescence‟. The SME sector in order to outcome this challenge must make advances in the field of engineering and technology. Adoption of Information Communication Technology in their business process can enhance their productivity and global competency.in the market. In this connection Enterprise Resource Planning plays a vital role in the SME‟s business process strategy. Hence there is a need for the motivation to implement ERP and find whether the current ICT solution the industries using are adequate for their strategy. In this paper we try to find out which ERP vendors does the SME sectors prefer, are the features of the ERP system and the implementation methodology selected have met the business goals and user satisfaction.
Volume: 8
Issue: 2
Page: 1150-1155
Publish at: 2018-04-01

High –Performance using Neural Networks in Direct Torque Control for Asynchronous Machine

10.11591/ijece.v8i2.pp1010-1017
Zineb Mekrini , Seddik Bri
This article investigates solution for the biggest problem of the Direct Torque Control on the asynchronous machine to have the high dynamic performance with very simple hysteresis control scheme. The Conventional Direct Torque Control (CDTC) suffers from some drawbacks such as high current, flux and torque ripple, as well as flux control at very low speed. In this paper, we propose an intelligent approach to improve the direct torque control of induction machine which is an artificial neural networks control. The principle, the numerical procedure and the performances of this method are presented.  Simulations results show that the proposed ANN-DTC strategy effectively reduces the torque and flux ripples at low switching frequency, compared with Fuzzy Logic DTC and The Conventional DTC.
Volume: 8
Issue: 2
Page: 1010-1017
Publish at: 2018-04-01

An Internal Current Controlled BLDC Motor Drive Supplied with PV Fed High Voltage Gain DC-DC Converter

10.11591/ijece.v8i2.pp1262-1272
G. G. Raja Sekhar , Basavaraja Banakara
The paper presents an efficient speed control of brushless DC (BLDC) motor drive for photo-voltaic (PV) system fed system. A high-gain DC-DC converter is employed in the system to boost the PV system low output voltage to a level required for the drive system. High-gain DC-DC converter is operated in closed-loop mode to attain accurate and steady output. The converter (VSI) for BLDC is switched at fundamental frequency and thus reducing high frequency switching losses. Internal current control method is developed and employed for the speed control of PV fed BLDC motor. The appropriateness of the internal current controller for the speed control of PV fed BLDC motor is verified for increamental speed with fixed torque and decreamental speed with fixed torque operating conditions. The system is developed and results are developed using MATLAB/SIMULINK software
Volume: 8
Issue: 2
Page: 1262-1272
Publish at: 2018-04-01

Utilizing ECG Waveform Features as New Biometric Authentication Method

10.11591/ijece.v8i2.pp658-665
Ahmed Younes Shdefat , Moon-Il Joo , Sung-Hoon Choi , Hee-Cheol Kim
In this study, we are proposing a practical way for human identification based on a new biometric method. The new method is built on the use of the electrocardiogram (ECG) signal waveform features, which are produced from the process of acquiring electrical activities of the heart by using electrodes placed on the body. This process is launched over a period of time by using a recording device to read and store the ECG signal. On the contrary of other biometrics method like voice, fingerprint and iris scan, ECG signal cannot be copied or manipulated. The first operation for our system is to record a portion of 30 seconds out of whole ECG signal of a certain user in order to register it as user template in the system. Then the system will take 7 to 9 seconds in authenticating the template using template matching techniques. 44 subjects‟ raw ECG data were downloaded from Physionet website repository. We used a template matching technique for the authentication process and Linear SVM algorithm for the classification task. The accuracy rate was 97.2% for the authentication process and 98.6% for the classification task; with false acceptance rate 1.21%.
Volume: 8
Issue: 2
Page: 658-665
Publish at: 2018-04-01

Service Time Analysis For Electric Vehicle Charging Infrastructure

10.11591/ijece.v8i2.pp818-824
Junghoon Lee , Gyung-Leen Park
This paper analyzes electric vehicle charging patterns in Jeju City, taking advantage of open software such as MySQL, Hadoop, and R, as well as open data obtained from the real-time charger monitoring system currently in operation. Main observation points lie in average service time, maximum service time, and the number of transactions, while we measure the effect of both temporal and spatial factors to them. According to the analysis result, the average service time is almost constant for all parameters. The charging time of 88.7 % transactions ranges from 10 to 40 minutes, while abnormally long transactions occupy just 3.4 % for fast chargers. The day-by-day difference in the number of charging transactions is 28.6 % at maximum, while Wednesday shows the largest number of transactions. Additionally, geographic information-based analysis tells that the charging demand is concentrated in those regions having many tourist attractions and administrative offices. With this analysis, it is possible to predict when a charger will be idle and allocate it to another service such as V2G or renewable energy integration.
Volume: 8
Issue: 2
Page: 818-824
Publish at: 2018-04-01

CMOS Temperature Sensor with Programmable Temperature Range for Biomedical Applications

10.11591/ijece.v8i2.pp946-953
Agung Setiabudi , Hiroki Tamura , Koichi Tanno
A CMOS temperature sensor circuit with programmable temperature range is proposed for biomedical applications. The proposed circuit consists of temperature sensor core circuit and programmable temperature range digital interface circuit. Both circuits are able to be operated at 1.0 V. The proposed temperature sensor circuit is operated in weak inversion region of MOSFETs. The proposed digital interface circuit converts current into time using Current-to-Time Converter (ITC) and converts time to digital data using counter. Temperature range can be programmed by adjusting pulse width of the trigger and clock frequency of counter. The proposed circuit was simulated using HSPICE with 1P, 5M, 3-wells, 0.18-μm CMOS process (BSIM3v3.2, LEVEL53). From the simulation of proposed circuit, temperature range is programmed to be 0 °C to 100 °C, it is obtained that resolution of the proposed circuit is 0.392 °C with -0.89/+0.29 °C inaccuracy and the total power consumption is 22.3 μW in 25 °C. 
Volume: 8
Issue: 2
Page: 946-953
Publish at: 2018-04-01

Adopting Hardware-In-the-Loop for Testing Vehicle Instrument Panel using Economical Approach

10.11591/ijeecs.v10.i1.pp50-58
Wan Shahmisufi Wan Jamaludin , Tan Wei Ren , Bakhtiar Affendi Rosdi , Dahaman Ishak , Noor Hafizi Hanafi , Muhammad Nasiruddin Mahyuddin
An economical approach for testing Vehicle Instrument Panel is proposed in this paper due to high expenditure of purchasing the available Commercial Off-The-Shelf Hardware-In-The-Loop. Vehicle Instrument Panel is designated as the Device-Under-Test in this paper. The Hardware-In-The-Loop, designated as the test equipment, will simulate the assigned input signals controllable via designed Graphical User Interface. The resulting display is shown on the Graphical User Interface and the Device-Under-Test. The speedometer gauge measurement showed the highest disparity of 4 km/h which is within the tolerance of the pre-determined specification of the Device-Under-Test.
Volume: 10
Issue: 1
Page: 50-58
Publish at: 2018-04-01
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