International Journal of Intelligent Systems and Applications in Engineering

International Journal of Intelligent Systems and Applications in Engineering

Basic info

  • Publisher: IJISAE
  • Country of publisher: turkey
  • Date added to EuroPub: 2017/Apr/13

Subject and more

  • LCC Subject Category: Engineering, Nanotechnology
  • Publisher's keywords: engineering
  • Language of fulltext: english

Publication charges

  • Article Processing Charges (APCs): No
  • Submission charges: No
  • Waiver policy for charges? Yes

Editorial information

Open access & licensing

  • Type of License: CC BY
  • License terms
  • Open Access Statement: Yes
  • Year open access content began: 2013
  • Does the author retain unrestricted copyright? True
  • Does the author retain publishing rights? True

Best practice polices

  • Permanent article identifier: None
  • Content digitally archived in: Nopolicy
  • Deposit policy registered in: None

This journal has '83' articles

A fuzzy approach for determination of prostate cancer

A fuzzy approach for determination of prostate cancer

Authors: I. Saritas*| Faculty of Technology, Selcuk University Campus,Konya,Turkey. Tel: +90 332 2233354; E-mail:[email protected], N. Allahverdi| Faculty...
( 36 downloads)
Abstract

Goal of this study is a design of a fuzzy expert system, its application aspects in the medicine area and its introduction for calculation of numeric value of prostate cancer risk. For this aim it was used prostate specific antigen (PSA), age and prostate volume (PV) as system input parameters and prostate cancer risk (PCR) as output. This system gives user a range of the risk of the cancer disease and facilitates the decision of the doctor if there is a need for the biopsy. The designed system was tested by the data from the literature and the clinical data. It was compared the diagnoses data of specialists of the every disease situation and literature data and it was seen that the system can be available for every situation. It is observed that this system is rapid because it needs minimum calculation, economical, without any risk than traditional diagnostic systems, has also a high reliability than the other system and can be used as assistant system for physicians. Having used in the hospital this system was tested as decision support system and the approach used in this study can be used in difference studies and analyses, because the system is transparent and explainable to a user. Keywords: Fuzzy logic, fuzzy expert system, prostate cancer, prostate specific antigen, prostate cancer risk.

Keywords: Fuzzy logic, fuzzy expert system, prostate cancer, prostate specific antigen, prostate cancer risk
Particle Swarm Optimization with Flexible Swarm for Unconstrained Optimization

Particle Swarm Optimization with Flexible Swarm for Unconstrained Optimization

Authors: Humar Kahramanlı*| Faculty of Technology, Selcuk University Campus,Konya,Turkey. Tel: +90 332 2233330; E-mail:[email protected], N. Allahverdi...
( 34 downloads)
Abstract

Particle Swarm Optimization (PSO) algorithm inspired from behaviour of bird flocking and fish schooling. It is well-known algorithm which has been used in many areas successfully. However it sometimes suffers from premature convergence. In resent year’s researches have been introduced a various approaches to avoid of this problem. This paper presents the particle swarm optimization algorithm with flexible swarm (PSO-FS). The new algorithm was evaluated on 14 functions often used to benchmark the performance of optimization algorithms. PSO-FS algorithm was compared to some other modifications of PSO. The results show that PSO-FS always performed one of the better results.

Keywords: Particle Swarm Optimization Algorithm, Unconstrained Optimization., Particle Swarm Optimization Algorithm with Flexible Swarm
Editorial Team

Editorial Team

Authors: Dr. Ismail SARITAS| Selcuk University, Turkey, Dr. Omer Faruk BAY| Gazi University, Turkey
Editorial Team 2017/Apr/13
( 60 downloads)
Abstract



Keywords: null
AIR: An Agent for Robust Image Matching and Retrieval

AIR: An Agent for Robust Image Matching and Retrieval

Authors: Jimmy Addison Lee*| Institute for Infocomm Research, Singapore, Attila Szabó| Institute for Infocomm Research, Singapore, Yiqun Li| Institute for Info...
( 48 downloads)
Abstract

This paper presents a novel scheme coined AIR (Agent for Image Recognition), acting as an agent, to oversee the image matching and retrieval processes. Firstly, neighboring keypoints within close spatial proximity are examined and used to hypothesize true keypoint matches. While this approach is robust to noise (e.g. a tree) since spatial relation is considered, missing (undetected) keypoints in one image can also be recovered resulting in more keypoint matches. Secondly, the agent is able to recognize instability of projective transformations in certain cases (e.g. non-planar scenes). The geometric approach is substituted with LIS (Longest Increasing Subsequence) approach which does not require any complex geometric transformations. The effectiveness of AIR is substantiated by an image retrieval experiment which demonstrates that it achieves a twofold increase in true matches and higher matching accuracy when compared to RANSAC homography approach.

Keywords: Image recognition, Image matching, Image retrieval, Spatial relation approach, longest increasing subsequence
Particle Swarm Optimization Design of Optical Directional Coupler Based on Power Loss Analysis

Particle Swarm Optimization Design of Optical Directional Coupler Based on Power Loss Analysis

Authors: Pınar Özkan-Bakbak*| Department of Electrical and Communication Engineering, Yildiz Technical University, Istanbul, Turkey, Musa Peker| Karabuk Univer...
( 44 downloads)
Abstract

In this work, feasible design is presented as an optimization problem for an optical directional coupler and designed by using particle swarm optimization (PSO). Principally, identical, weakly guiding, slab and lossless optical waveguides are supposed to be weakly coupled to each other. The power loss and the propagation constant change of TE and TM modes in mutual coupling of two cladded and uncladded optical waveguides are analyzed by the modal analysis and PSO. PSO design of an optical directional coupler is an optimization problem consisting of input variables and design parameters within a fitness function (FF). FF is the power loss of TE and TM modes. PSO should minimize the FF and obtain design criteria. The analysis shows that the results, by using PSO are compatible with modal analysis results. The availability of the optical coupler design by PSO has been tested successfully.

Keywords: Optical fiber, Optical communication, Optical directional coupler, Particle swarm optimization
Developing a Fuzzy Logic Decision Support System for Strategic Planning in Industrial Organizations

Developing a Fuzzy Logic Decision Support System for Strategic Planning in Industrial Organizations

Authors: Ibrahim Rawabdeh| Department of Industrial Engineering, University of Jordan, Amman, 11942, Jordan, Abbas Al-Refaie*| Department of Industrial Enginee...
( 38 downloads)
Abstract

Internal – External (IE), Strategic Position and Action Evaluation (SPACE), Boston Consulting Group (BCG), and Grand Strategy matrices are important tools in generating and evaluating alternative output strategies which is the most important step in the formulation stage in strategic management process. Managers need to make difficult and important decisions on the basis of imprecise information and incomplete knowledge and select the right strategic position or alternative output strategies.

Keywords: Fuzzy Logic, Decision Support System, Strategic Planning, Industrial Organization
Power System Contingency Ranking using Fuzzy Logic Based Approach

Power System Contingency Ranking using Fuzzy Logic Based Approach

Authors: A.Y. Abdelaziz*| Electrical Power and Machines Department, Ain Shams University, Cairo, EGYPT, A.T.M. Taha| Electrical Power and Machines Department,...
( 37 downloads)
Abstract

Voltage stability is a major concern in planning and operations of power systems. It is well known that voltage instability and collapse have led to major system failures. Modern transmission networks are more heavily loaded than ever before to meet the growing demand. One of the major consequences resulted from such a stressed system is voltage collapse or instability. This paper presents fuzzy approach for ranking the contingencies using composite-index based on parallel operated fuzzy inference engine. The Line Flow index (L.F) and bus Voltage Magnitude (VM) of the load buses are expressed in fuzzy set notation. Further, they are evaluated using Fuzzy rules to obtain overall Criticality Index. Contingencies are ranked based on decreasing order of Criticality Index and then provide the comparison of ranking obtained with Fast Voltage Stability Index (FVSI) method.

Keywords: Contingency Ranking, Fuzzy Sets, Line Flow Index, Fuzzy Inference System
Store Data from Experiments with Microorganisms Used in Food Industry

Store Data from Experiments with Microorganisms Used in Food Industry

Authors: Lena Kostadinova-Georgieva| University of Food Technologies, department of Computer Systems and Technologies, Plovdiv, Bulgaria, Atanaska Bosakova-Ard...
( 48 downloads)
Abstract

The aim of this paper is to present results from collaboration of computer engineers and experimenters in microbiology working with molecular-genetic methods. The experimenters in microbiological laboratory at the University of Food Technologies use ARDRA (Amplified Ribosomal DNA Restriction Analysis) analyses and DNA sequencing processed with BLAST (Basic Local Alignment Search Tool) algorithm to identify some microorganisms. Their results have been accumulated in designed database. This will improve the effectiveness and productivity of the molecular-genetic analyses in department of microbiology.

Keywords: DNA analysis, DNA sequence, ARDRA, Database
A Note on Entropy Subsethood Relationship

A Note on Entropy Subsethood Relationship

Authors: Mamoni Dhar*| Department of Mathematics, Science College, Kokrajhar, Assam, India
( 37 downloads)
Abstract

We comment on subsethood measure defined by Kosko and Young and give some new aspects of these measures. Finally we would like to discard the entropy subsethood relationship established by the authirs. We present some properties of subsethood measure from set theoretic approach and also from axiomatic approach with the expectation that these would help in removing the shortcomings that currently exist in these definitions.

Keywords: Membership value, Membership function, Entropy
A Bee Colony Optimization-based Approach for Binary Optimization

A Bee Colony Optimization-based Approach for Binary Optimization

Authors: Mustafa Servet Kıran *| Selcuk University, Faculty of Engineering, Department of Computer Engineering, Mesut Gündüz| Selcuk University, Faculty of Eng...
( 36 downloads)
Abstract

The bee colony optimization (BCO) algorithm, one of the swarm intelligence algorithms, is a population based iterative search algorithm. Being inspired by collective bee intelligence, BCO has been proposed for solving discrete optimization problems such as travelling salesman problem. The BCO uses constructive approach for creating a feasible solution for the discrete optimization problems but in this study, we used the solution improvement technique due to nature of the uncapacitated facility location problem (UFLP). In the proposed method named as binBCO, the feasible solutions are generated for the artificial bees in hive of BCO and these solutions are tried to improve by utilizing interaction in the hive. At the end of the each iteration, some of the bees leave self-solutions and the leaving process depends on the loyalty of the bee to the self-solution. After a bee leaves self-solution, a random feasible solution is generated and assigned to this bee. In order to show the performance of binBCO, we examined it on well-known UFLPs, and the experimental studies show that the proposed method produces promising results.

Keywords: Bee colony optimization, Binary optimization, Uncapacitated facility location problem
Preferences, Utility and Prescriptive Decision Control in Complex Systems

Preferences, Utility and Prescriptive Decision Control in Complex Systems

Authors: Yuri P. Pavlov*| Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
( 38 downloads)
Abstract

The evaluation of the preferences based utility function is a goal of the human cantered control (management) design.The achievement of this goal depends on the determination and on the presentation of the requirements, characteristics and preferences of the human behaviour in the appropriate environment (management, control or administration of complex processes). The decision making theory, the utility and the probability theory are a possible approach under consideration. This paper presents an approach to evaluation of human’s preferences and their utilization in complex problems.The stochastic approximation is a possible resolution to the problem under consideration. The stochastic evaluation bases on mathematically formulated axiomatic principles and stochastic procedures. The uncertainty of the human preferences is eliminated as typically for the stochastic programming. The evaluation is preferences-oriented machine learning with restriction of the “certainty effect and probability distortion” of the utility assessment. The mathematical formulations presented here serve as basis of tools development. The utility and value evaluation leads to the development of preferences-based decision support in machine learning environments and iterative control design in complex problems.

Keywords: Preferences, Utility, Stochastic Approximation, Complex systems, Edgeworth box
Statistical Methods for Quantitatively Detecting Fungal Disease from Fruits’ Images

Statistical Methods for Quantitatively Detecting Fungal Disease from Fruits’ Images

Authors: Jagadeesh D.Pujari| S.D.M.College of Engg. &Tech, Dharwar – 580 008, India, Rajesh Yakkundimath*| KLE.Institute of Technology, Hubli – 580 030, India,...
( 39 downloads)
Abstract

In this paper we have proposed statistical methods for detecting fungal disease and classifying based on disease severity levels. Most fruits diseases are caused by bacteria, fungi, virus, etc of which fungi are responsible for a large number of diseases in fruits. In this study images of fruits, affected by different fungal symptoms are collected and categorized based on disease severity. Statistical features like block wise, gray level co-occurrence matrix (GLCM), gray level runlength matrix (GLRLM) are extracted from these images. The nearest neighbor classifier using Euclidean distance was used to classify images as partially affected, moderately affected, severely affected and normal. The average classification accuracies are 91.37% and 86.715% using GLCM and GLRLM features. The average classification accuracy has increased to 94.085% using block wise features.

Keywords: Fungal disease, Disease severity, Fruits, Statistical features, Euclidean distance, Nearest Neighbor
Matlab’s GA and Optimization Toolbox: A Fourbar Mechanism Application

Matlab’s GA and Optimization Toolbox: A Fourbar Mechanism Application

Authors: L.C. Dülger*| Gaziantep University, Faculty of Eng., Mech. Eng. Dept., Gaziantep/TURKEY, H. Erdoğan| Turkish Railway Corporation, Adana/TURKEY, M.E. K...
( 44 downloads)
Abstract

This study presents an optimization approach for synthesis of planar mechanisms. A four bar mechanism is chosen for an application example. This mechanism is studied with the constraints assigned. Genetic Algorithm (GA) is applied during optimization study. GA in Optimization Toolbox is then compared with nonlinear constrained numerical optimization command; fmincon in Matl ab©. Different case studies are performed by considering different target points. These mechanisms are drawn using Excel© spread sheet to see their animations. An optimization example is presented here. Performances of both algorithms are then compared in terms of coupler curves precision points. Their use in designing a four bar mechanism is explored for its further use.

Keywords: Four bar mechanism, Mechanism synthesis, Optimization, Genetic algorithm
A simple Mathematical Fuzzy Model of Brain Emotional Learning to Predict Kp Geomagnetic Index

A simple Mathematical Fuzzy Model of Brain Emotional Learning to Predict Kp Geomagnetic Index

Authors: Ehsan Lotfi *| Department of Computer Engineering, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, Iran, A. Keshavarz| Department of Psych...
( 41 downloads)
Abstract

In this paper, we propose fuzzy mathematical model of brain limbic system (LS) which is responsible for emotional stimuli. Here the proposed model is utilized to predict the chaotic activity of the earth’s magnetosphere. Numerical results show that the correlation of the results obtained from the proposed fuzzy model is higher than non-fuzzy models. Hence, the proposed model can be applied in real time chaotic time series prediction.

Keywords: Cognitive science, Amygdala, Computational model, Chaotic time series
A Mitigation Technique for Inrush Currents in Load Transformers for the Series Voltage Sag Compensator

A Mitigation Technique for Inrush Currents in Load Transformers for the Series Voltage Sag Compensator

Authors: B.Hari Prasad| Department of Electrical & Electronics Engineering, Annamacharya Institute of Technology& science, India, P.Harsha Vardhan Reddy| Depar...
( 44 downloads)
Abstract

In many countries, high-tech manufacturers concentrate in industry parks. Survey results suggest that 92% of interruption at industrial facilities is voltage sag related. An inrush mitigation technique is proposed and implemented in a synchronous reference frame sag compensator controller. The voltage sag compensator consists of a three phase voltage source inverter and a coupling transformer for serial connection. It is the most cost effective solution against voltage sags. When voltage sag happen, the transformers, which are often installed in front of critical loads for electrical isolation, are exposed to the disfigured voltages and a DC offset will occur in its flux linkage. When the compensator restores the load voltage, the flux linkage will be driven to the level of magnetic saturation and severe inrush current occurs. The compensator is likely to be interrupted because of its own over current protection. This paper proposes an inrush current mitigation technique together with a state-feedback controller for the Voltage sag compensator.

Keywords: Voltage sag, flux linkage, inrush current, transformer, power quality, voltage sag compensator

About Europub

EuroPub is a comprehensive, multipurpose database covering scholarly literature, with indexed records from active, authoritative journals, and indexes articles from journals all over the world. The result is an exhaustive database that assists research in every field. Easy access to a vast database at one place, reduces searching and data reviewing time considerably and helps authors in preparing new articles to a great extent. EuroPub aims at increasing the visibility of open access scholarly journals, thereby promoting their increased usage and impact.