Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

27,404 Article Results

A Hybrid Fuzzy Logic FOPID Position Controller for DC Motor Driving Tracking Systems System

10.11591/ijeecs.v5.i2.pp327-337
Mohamed M. Ismail , Ahmed F. Elbendary , Abdelghany M. Abdelghany
This paper presents a developed application for using Fraction Order PID controller (FOPID) in controlling of DC motors installed incelestron telescope, this is done through controlling the angles of two DC motors driven the telescope. The model of celestron telescope is mathematically represented by highly non linear differential equations, this types of nonlinear model is recommended to be controlled using Artificial Intelligent based controller. In this paper, optimal fuzzy FOPID is implemented instead of conventional PID controllers. Genetic Algorithm, fuzzy logic are used for  tuning the FOPID parameters.FOPID  controller is based on  position error and its rate of change as an input vector, the proposed controller set presents a complete precision in forcing the telescope motors to satisfy the predefined position. The simulation results show the dynamic response of the system and the enhancement achieved in rising time and settling time when using FOPID. The response of FOPID is compared with the conventional PID with the same input position reference.
Volume: 5
Issue: 2
Page: 327-337
Publish at: 2017-02-01

Comparative Study on the Effectiveness of UPFC and TCSC for Increasing Power Transfer Capability Applied to Non-linear Load Models

10.11591/ijeecs.v5.i2.pp309-316
S.Ali Abbas Al-Mawsawi
In recent years, studies have been investigated the effectiveness of UPFC and TCSC in increasing power transfer capability. However, the effectiveness of these FACTS devices in increasing power transfer capability when the load is non-linear has not been established in a comparative study yet. This paper will explore the steady-state performance of the UPFC and TCSC as impedance compensation models. The effectiveness of both FACTS devices are investigated when they are installed in multi-machine systems with different non-linear load models. Simulation results demonstrate that, upon installing UPFC, more active and reactive powers are received at the sending end bus for different types of non-linear load models. In addition, both active and reactive powers are more sensitive in changing the modulation index of the converters. Furthermore, both the active and reactive powers are less sensitive to the non-linearity of the load model type. However, active and reactive powers in case of installing TCSC are only sensitive in changing the firing angle (α) when it is between 90º to 110º. Therefore, results from this study clearly encourage the effectiveness of UPFC in comparison to TSCS in terms of increasing power transfer capability applied to non-linear load models. 
Volume: 5
Issue: 2
Page: 309-316
Publish at: 2017-02-01

Text Documents Plagiarism Detection using Rabin-Karp and Jaro-Winkler Distance Algorithms

10.11591/ijeecs.v5.i2.pp462-471
Brinardi Leonardo , Seng Hansun
Plagiarism is an act that is considered by the university as a fraud by taking someone ideas or writings without mentioning the references and claimed as his own. Plagiarism detection system is generally implement string matching algorithm in a text document to search for common words between documents. There are some algorithms used for string matching, two of them are Rabin-Karp and Jaro-Winkler Distance algorithms. Rabin-Karp algorithm is one of compatible algorithms to solve the problem of multiple string patterns, while, Jaro-Winkler Distance algorithm has advantages in terms of time. A plagiarism detection application is developed and tested on different types of documents, i.e. doc, docx, pdf and txt. From the experimental results, we obtained that both of these algorithms can be used to perform plagiarism detection of those documents, but in terms of their effectiveness, Rabin-Karp algorithm is much more effective and faster in the process of detecting the document with the size more than 1000 KB.
Volume: 5
Issue: 2
Page: 462-471
Publish at: 2017-02-01

Hardware Simulation of Active Lane Keeping Assist Based on Fuzzy Logic

10.11591/ijeecs.v5.i2.pp321-326
Noor Cholis Basjaruddin , Kuspriyanto Kuspriyanto , Didin Saefudin , Alditama Rachman
Accidents due to cross the lane (lane departure crash) of achieving 19% of all accidents. These accidents mostly caused because the driver is not concentrating or dozing. A device that can help the driver so that the vehicle does not exit lanes known as Active Lane Keeping Assist (ALKA). ALKA is a subsystem of Advanced Driver Assistance System (ADAS) and is now used in several brands of cars namely Audi, BMW, and Ford. ALKA useful to help the driver, especially on roads with monotonous situations such as toll roads. This paper presents the development of fuzzy logic-based algorithm for ALKA. A battery toy car is used as a hardware simulation to test the algorithm in real time situation. The test results at three different speeds are slow, medium,   and   high   indicate   that   the   algorithm   can   work according to design.
Volume: 5
Issue: 2
Page: 321-326
Publish at: 2017-02-01

Between Two Line Follower Stand Before the Barrier Mobile Robot-Design and Implementation

10.11591/ijeecs.v5.i2.pp433-440
Abdülkadir Çakir , Amal Ali Sreawi
A Between two line follower stand before the barrier mobile robot is a mobile machine that can detect and follow between two line drawn on the floor. Generally, the path can be white lines on a black surface or it can be black lines on a white surface. Today robot is very important in our life because it can do everything without human intervention, especially for difficult or danger works. Therefore in this research we will going to design robot that able to walk between two lines, and at the same time, this robot can pass the barriers that facing it. We conclude from this that this robot can help in many areas, such as to be a helper in hazardous work or in the transport of materials that are dangerous to human life, Or that this robot be helpful for people with disabilities where carts industry able to navigate seamlessly, also can use this robot in military actions.
Volume: 5
Issue: 2
Page: 433-440
Publish at: 2017-02-01

A Numerical Design of Marine Current for Predicting Velocity and Kinetic Energy

10.11591/ijeecs.v5.i2.pp401-409
Parabelem Tinno Dolf Rompas , Heindrich Taunaumang , Ferry Johnny Sangari
One of marine current power plant equipment is turbine. In the design of marine current turbines required variables such as velocity and kinetic energy. This paper presents numerical study on a numerical design of marine current for predicting velocity and kinetic energy in the Bangka strait, North Sulawesi, Indonesia that developed from Yaxum/3D model. This study includes the simulation of velocity and kinetic energy distributions at low and high tide current conditions by two flow rates of 0.1 and 0.3 Sv respectively.  The numerical method used to design computational program. Semi-implicit finite difference method used to 3D shallow water flow.  It found distributions of velocity and kinetic energy at high tide current condition greater than low tide current condition. The future, these results will be developed in marine current power plant project in the Bangka strait, North Sulawesi, Indonesia.
Volume: 5
Issue: 2
Page: 401-409
Publish at: 2017-02-01

Prioritized Sweeping Reinforcement Learning Based Routing for MANETs

10.11591/ijeecs.v5.i2.pp383-390
Rahul M Desai , B P Patil
In this paper, prioritized sweeping confidence based dual reinforcement learning based adaptive network routing is investigated. Shortest Path routing is always not suitable for any wireless mobile network as in high traffic conditions, shortest path will always select the shortest path which is in terms of number of hops, between source and destination thus generating more congestion. In prioritized sweeping reinforcement learning method, optimization is carried out over confidence based dual reinforcement routing on mobile ad hoc network and path is selected based on the actual traffic present on the network at real time. Thus they guarantee the least delivery time to reach the packets to the destination. Analysis is done on 50 Nodes Mobile ad hoc networks with random mobility. Various performance parameters such as Interval and number of nodes are used for judging the network. Packet delivery ratio, dropping ratio and delay shows optimum results using the prioritized sweeping reinforcement learning method.
Volume: 5
Issue: 2
Page: 383-390
Publish at: 2017-02-01

Performance Analysis of Post Compensated Long Haul High Speed Coherent Optical OFDM System

10.11591/ijece.v7i1.pp160-168
Divya Dhawan , Neena Gupta
This paper addresses the performance analysis of OFDM transmission system based on coherent detection over high speed long haul optical links with high spectral efficiency modulation formats such as Quadrature Amplitude Modulation (QAM) as a mapping method prior to the OFDM multicarrier representation. Post compensation is used to compensate for phase noise effects. Coherent detection for signal transmitted at bit rate of 40 Gbps is successfully achieved up to distance of 3200km. Performance is analyzed in terms of Symbol Error Rate and Error Vector Magnitude by varying Optical Signal to Noise Ratio (OSNR) and varying the length of the fiber i.e transmission distance. Transmission performance is also observed through constellation diagrams at different transmission distances and different OSNRs.
Volume: 7
Issue: 1
Page: 160-168
Publish at: 2017-02-01

Study of the Different Transmission Line Faults for a Grid Connected Wind Farm with Different Types of Control Method for RSC

10.11591/ijeecs.v5.i2.pp338-344
Reza Najafi
Wind power stations, many  located in remote areas; so they are characterized by weak grids and are often submitted to power system disturbance like faults. In this paper, the behaviour of a wind energy conversion system that uses the control of the rotor side converter (RSC) by three different methods  under faulty conditions is presented. The behaviour of these systems during a grid failure is an important issue.  DFIG is analysed and simulated under differing faulty conditions in the environment of MATLAB/SIMULINK. Simulation results show that the proposed method has proper operation during fault conditions. 
Volume: 5
Issue: 2
Page: 338-344
Publish at: 2017-02-01

STATCOM with Battery and Super Capacitor Hybrid Energy Storage System for Enhancement of Voltage Stability

10.11591/ijeecs.v5.i2.pp250-259
Tanneeru Renuka , Gattu Kesavarao
To maintain voltage stability of a power system STATCOM is better solution which can provide the required amount of reactive power under various disturbances. In previous work, STATCOM with various energy storage elements was discussed for voltage and power system stability. Apart from these previous works, this work proposes a new structure of hybrid energy storage system (HESS) for voltage stability by using battery and super capacitor. A new model of STATCOM with hybrid energy storage system is designed by using two bidirectional DC-DC converters and results are analyzed for conventional STATCOM and STATCOM with hybrid energy storage system. Results are also analyzed for STATCOM system with out any energy storage system, STATCOM with battery, STATCOM with super capacitor and STATCOM with HESS under sudden load changes by using MATLAB/Simulink.
Volume: 5
Issue: 2
Page: 250-259
Publish at: 2017-02-01

Research on the Transformation of User's Implicit Knowledge to Design Knowledge in Product Design

10.11591/ijeecs.v5.i2.pp243-249
Sun Qiang , Hu Fei
The characteristics of the user’s implicit knowledge in product design and the relationship between the user’s implicit knowledge and design knowledge are discussed. The transformation model of user implicit knowledge to design knowledge is built. And the key technologies of it are analyzed. The four design dimensions which the transformation from user implicit knowledge to design knowledge is based on are proposed, namely, the design process dimension, the design object dimension, the organization dimension and the knowledge dimension. Taking household cleaner as an example, this paper utilizes the oral analysis method and the semantic differential method to analyze the transformation of user implicit knowledge to design knowledge, and validates the conversion model. It is helpful for improving the computer aided industrial design and household appliance products network collaborative design.
Volume: 5
Issue: 2
Page: 243-249
Publish at: 2017-02-01

Barriers and Challenges to Telecardiology Adoption in Malaysia Context

10.11591/ijece.v7i1.pp260-265
Kee-Jiar Yeo , Lina Handayani , Haikal Satria , Shih-Hui Lee , Chia-Keat Yap
Mainly in infrastructure deficient communities, telecardiology is considered as a complement to insufficient cardiac care. Telecardiology can reduce travelling and waiting time, enables information sharing in shorter time and facilitate care in rural and remote areas. A qualitative study examined the perspectives of health care providers: cardiologist and general physician and health care service receivers: patient and public towards telecardiology adoption. The barriers in telecardiology adoption were identified in this paper. It includes practicality of telecardiology, the need of education for staffs and administrators, ease of use, preferred face-to-face consultation, cost and confidentiality. Improvements can be done by the implementers based on this study in order to promote telecardiology successfully in Malaysia. 
Volume: 7
Issue: 1
Page: 260-265
Publish at: 2017-02-01

An Empirical Comparison of Latest Data Clustering Algorithms with State-of-the-Art

10.11591/ijeecs.v5.i2.pp410-415
Xianjin Shi , Wanwan Wang , Chongsheng Zhang
Over the past few decades, a great many data clustering algorithms have been developed, including K-Means, DBSCAN, Bi-Clustering and Spectral clustering, etc. In recent years, two new data  clustering algorithms have been proposed, which are affinity propagation (AP, 2007) and density peak based clustering (DP, 2014). In this work, we empirically compare the performance of these two latest data clustering algorithms with state-of-the-art, using 6 external and 2 internal clustering validation metrics. Our experimental results on 16 public datasets show that, the two latest clustering algorithms, AP and DP, do not always outperform DBSCAN. Therefore, to find the best clustering algorithm for a specific dataset, all of AP, DP and DBSCAN should be considered.  Moreover, we find that the comparison of different clustering algorithms is closely related to the clustering evaluation metrics adopted. For instance, when using the Silhouette clustering validation metric, the overall performance of K-Means is as good as AP and DP. This work has important reference values for researchers and engineers who need to select appropriate clustering algorithms for their specific applications.
Volume: 5
Issue: 2
Page: 410-415
Publish at: 2017-02-01

A Review on Fuzzy-GA based Controller for Power Flow Control in Grid Connected PV System

10.11591/ijece.v7i1.pp125-133
Raghu Thumu , K. Harinadha Reddy
Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach.
Volume: 7
Issue: 1
Page: 125-133
Publish at: 2017-02-01

A Three-Point Directional Search Block Matching Algorithm

10.11591/ijece.v7i1.pp230-237
A.V. Paramkusam , D. Laxma Reddy
This paper proposes compact directional asymmetric search patterns, which we have named as three-point directional search (TDS). In most fast search motion estimation algorithms, a symmetric search pattern is usually set at the minimum block distortion point at each step of the search. The design of the symmetrical pattern in these algorithms relies primarily on the assumption that the direction of convergence is equally alike in each direction with respect to the search center. Therefore, the monotonic property of real-world video sequences is not properly used by these algorithms. The strategy of TDS is to keep searching for the minimum block distortion point in the most probable directions, unlike the previous fast search motion estimation algorithms where all the directions are checked. Therefore, the proposed method significantly reduces the number of search points for locating a motion vector. Compared to conventional fast algorithms, the proposed method has the fastest search speed and most satisfactory PSNR values for all test sequences.
Volume: 7
Issue: 1
Page: 230-237
Publish at: 2017-02-01
Show 1425 of 1827

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration