International Journal of Computational Intelligence Systems

Volume 9, Issue 5, September 2016

1. A Novel ACO-Based Static Task Scheduling Approach for Multiprocessor Environments

Hamid Reza Boveiri
Pages: 800 - 811
Optimized task scheduling is one of the most important challenges in parallel and distributed systems. In such architectures during compile step, each program is decomposed into the smaller segments so-called tasks. Tasks of a program may be dependent; some tasks may need data generated by the others...

2. Evaluation of Knowledge Management Tools by Using An Interval Type-2 Fuzzy TOPSIS Method

Gülçin Büyüközkan, Ismail Burak Parlak, A. Cagri Tolga
Pages: 812 - 826
Knowledge management (KM) systems can provide businesses a wide range of advantages and efficiency improvements. Increasing competition forces companies to seek new ways to streamline their processes and manage their information and knowledge better, leading to increased demand for KM solutions. Considering...

3. Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

T. Vigneysh, N. Kumarappan
Pages: 827 - 838
In an islanded microgrid, while considering the complex nature of line impedance, the generalized droop control fails to share the actual real/reactive power between the distributed generation (DG) units. To overcome this power sharing issue, in this paper a new approach based on feed forward neural...

4. Multi-objective Transportation Problem with Cost Reliability Under Uncertain Environment

Gurupada Maity, Sankar Kumar Roy, José Luis Verdegay
Pages: 839 - 849
This paper analyzes the study of a Multi-Objective Transportation Problem (MOTP) under uncertain environment. Assuming the uncertainty in real-life decision making problems, the concept of reliability is incorporated in the transportation cost and the effectiveness is justified through the proposed MOTP....

5. A Machine Vision System for Detecting Fertile Eggs in the Incubation Industry

Mahdi Hashemzadeh, Nacer Farajzadeh
Pages: 850 - 862
One of the important factors in increasing the productivity of the incubation industry is to be sure that the eggs placed in the incubators are fertile. In this research, a fertility detection machine vision system is developed and evaluated. To this end, a mechatronic machine is fabricated for acquiring...

6. A two-stage hybrid classification technique for network intrusion detection system

Jamal Hussain, Samuel Lalmuanawma, Lalrinfela Chhakchhuak
Pages: 863 - 875
Conventional Network intrusion detection system (NIDS) mostly uses individual classification techniques, such system fails to provide the best possible attack detection rate. In this paper, we propose a new two-stage hybrid classification method using Support Vector Machine (SVM) as anomaly detection...

7. Ontology Knowledge Mining for Ontology Alignment

Rihab Idoudi, Karim Saheb Ettabaa, Basel Solaiman, Kamel Hamrouni
Pages: 876 - 887
As the ontology alignment facilitates the knowledge exchange among the heterogeneous data sources, several methods have been introduced in literature. Nevertheless, few of them have been interested in decreasing the problem complexity and reducing the research space of correspondences between the input...

8. Hybrid tracking model for multiple object videos using second derivative based visibility model and tangential weighted spatial tracking model

Felix M. Philip, Rajeswari Mukesh
Pages: 888 - 899
In the area of video surveillance, tracking model for multiple object video is still a challenging task since the objects are usually affected with inter-object occlusion, object confusion, different posing, environment with heavy clutter, small size of objects, similar appearance among objects, and...

9. A New Approach to Extract Text from Images based on DWT and K-means Clustering

Deepika Ghai, Divya Gera, Neelu Jain
Pages: 900 - 916
Text present in image provides important information for automatic annotation, indexing and retrieval. Therefore, its extraction is a well known research area in computer vision. However, variations of text due to differences in orientation, alignment, font, size, low image contrast and complex background...

10. An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling

Hongwei Ge, Liang Sun, Xin Chen, Yanchun Liang
Pages: 917 - 931
The flexible job shop scheduling problem (FJSP) is one of the most important problems in the field of production scheduling, which is the abstract of some practical production processes. It is a complex combinatorial optimization problem due to the consideration of both machine assignment and operation...

11. Gray image enhancement using harmony search

Mohammed Azmi Al-Betar, Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Asaju La’aro Bolaji, Mohammed A. Awadallah
Pages: 932 - 944
For decades, image enhancement has been considered one of the most important aspects in computer science because of its influence on a number of fields including but not limited to medical, security, banking and financial sectors. In this paper, a new gray level image (edge preserving) enhancement method...

12. Existence and p-exponential stability of periodic solution for stochastic shunting inhibitory cellular neural networks with time-varying delays

Changjin Xu, Maoxin Liao, Yicheng Pang
Pages: 945 - 956
In this paper, we investigate a class of stochastic shunting inhibitory cellular neural networks with time-varying delays. Applying integral inequality, some sufficient conditions on the existence and p-exponential stability of periodic solutions for stochastic shunting inhibitory cellular neural networks...

13. Empirical Comparison of Differential Evolution Variants for Industrial Controller Design

Tony Wong, Pascal Bigras, Vincent Duchaîne, Jean-Philippe Roberge
Pages: 957 - 970
To be cost-effective, most commercial off-the-shelf industrial controllers have low system order and a predefined internal structure. When operating in an industrial environment, the system output is often specified by a reference model, and the control system must closely match the model’s response....

14. Uzawa Algorithms for Fully Fuzzy Linear Systems

H. Zareamoghaddam, A.T. Chronopoulos, M. Nouri Kadijani, Z. Zareamoghaddam
Pages: 971 - 983
Recently, there have been many studies on solving different kinds of fuzzy equations. In this paper, the solution of a trapezoidal fully fuzzy linear system (FFLS) is studied. Uzawa approach, which is a popular iterative technique for saddle point problems, is considered for solving such FFLSs. In our...

15. Component oriented remanufacturing decision-making for complex product using DEA and interval 2-tuple linguistic TOPSIS*

Xiuli Geng, Xiaomin Gong, Xuening Chu
Pages: 984 - 1000
Remanufacturing has been attracting attentions of global manufacturers as an important sustainable development strategy. Component oriented remanufacturing decision-making for complex product involving two phases is proposed in this paper. The first phase is to decide which components to be remanufactured...