Current Issue: May 2022, Volume 13, Number 1/2 --- Table of Contents

 International Journal on Soft Computing (IJSC)

ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print]

https://airccse.org/journal/ijsc/ijsc.html

Current Issue

May 2022, Volume 13, Number 1/2 

Spatio-Temporal Characterization with Wavelet Coherence: Anexus between Environment and Pandemic  

Iftikhar U. Sikder1 and James J. Ribero2, 1Cleveland State University, USA, 2IBA, University of Dhaka, Bangladesh

https://aircconline.com/ijsc/V13N2/13222ijsc01.pdf

https://airccse.org/journal/ijsc/current2022.html

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Submission Deadline : June 11, 2022

Submission System: http://coneco2009.com/submissions/imagination/home.html

Adaptive Learning Management System Using Semantic Web Technologies

M.Farida Begam1 and Gopinath Ganapathy2, 1Manipal University Dubai, U.A.E and 2Bharathidasan University, India

ABSTRACT

Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.

KEYWORDS

Learning Style, Learning Objects, workflow, web services, Semantics, Ontology, LMS, ALMS, and OWL-S

Original Source URL: https://airccse.org/journal/ijsc/papers/4113ijsc01.pdf

https://airccse.org/journal/ijsc/current2013.html

A Metaheuristic Optimization Algorithm for the Synchronization of Chaotic Mobile Robots

Jiann-Horng Lin, I-Shou University, Taiwan

ABSTRACT

We provide a scheme for the synchronization of two chaotic mobile robots when a mismatch between the parameter values of the systems to be synchronized is present. We have shown how meta-heuristic optimization can be used to adapt the parameters in two coupled systems such that the two systems are synchronized, although their behavior is chaotic and they have started with different initial conditions and parameter settings. The controlled system synchronizes its dynamics with the control signal in the periodic as well as chaotic regimes. The method can be seen also as another way of controlling the chaotic behavior of a coupled system. In the case of coupled chaotic systems, under the interaction between them, their chaotic dynamics can be cooperatively self-organized. A synergistic approach to meta-heuristic optimization search algorithm is developed. To avoid being trapped into local optimum and to enrich the searching behavior, chaotic dynamics is incorporated into the proposed search algorithm. A chaotic Levy flight is firstly incorporated in the proposed search algorithm for efficiently generating new solutions. And secondly, chaotic sequence and a psychology factor of emotion are introduced for move acceptance in the search algorithm. We illustrate the application of the algorithm by estimating the complete parameter vector of a chaotic mobile robot.

KEYWORDS

optimization search algorithm, chaotic dynamics, psychology factor of emotion, chaotic sequence

Original Source URL: https://airccse.org/journal/ijsc/papers/4213ijsc04.pdf

https://airccse.org/journal/ijsc/current2013.html

Exploring Sound Signature for Vehicle Detection and Classification Using ANN

Jobin George, Anila Cyril, Bino I. Koshy and Leena Mary,Rajiv Gandhi Institute of Technology, India

ABSTRACT

This paper attempts to explore the possibility of using sound signatures for vehicle detection and classification purposes. Sound emitted by vehicles are captured for a two lane undivided road carrying moderate traffic. Simultaneous arrival of different types vehicles, overtaking at the study location, sound of horns, random but identifiable back ground noises, continuous high energy noises on the back ground are the different challenges encountered in the data collection. Different features were explored out of which smoothed log energy was found to be useful for automatic vehicle detection by locating peaks. Melfrequency ceptral coefficients extracted from fixed regions around the detected peaks along with the manual vehicle labels are utilised to train an Artificial Neural Network (ANN). The classifier for four broad classes heavy, medium, light and horns was trained. The ANN classifier developed was able to predict categories well.

KEYWORDS

Traffic characterises, vehicle detection, multilayer feedforward neural network, vehicle classification. 

Original Source URL: https://airccse.org/journal/ijsc/papers/4213ijsc03.pdf

https://airccse.org/journal/ijsc/current2013.html

Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch Problem

Huynh Thi Thanh Binh,University of Science and Technology,Vietnam

ABSTRACT 

We consider the Multi-Area Economic Dispatch problem (MAEDP) in deregulated power system environment for practical multi-area cases with tie line constraints. Our objective is to generate allocation to the power generators in such a manner that the total fuel cost is minimized while all operating constraints are satisfied. This problem is NP-hard. In this paper, we propose Hybrid Particle Swarm Optimization (HGAPSO) to solve MAEDP. The experimental results are reported to show the efficiency of proposed algorithms compared to Particle Swarm Optimization with Time-Varying Acceleration Coefficients (PSO-TVAC) and RCGA.

KEYWORDS

Multi-Area Economic Dispatch, Particle Swarm Optimization. 

Original Source URL: https://airccse.org/journal/ijsc/papers/4213ijsc02.pdf

https://airccse.org/journal/ijsc/current2013.html

Call for Papers - May Issue - International Journal on Soft Computing (IJSC)

 

ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print]

https://airccse.org/journal/ijsc/ijsc.html

 

Scope & Topics

Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field

Topics considered include but are not limited to:

 

●        Fuzzy Systems ●        Neural Networks ●        Machine learning ●        Probabilistic Reasoning ●        Evolutionary Computing ●        Pattern recognition ●        Hybrid intelligent systems, ●        Software agents ●        Morphic Computing ●        Image processing, ●        E-commerce, e-medicine

●        Rough Sets ●        Symbolic machine learning, ●        Wavelet ●        Signal or Image Processing ●        Vision Recognition ●        Biomedical Engineering ●        Telecommunications ●        Reactive Distributed AI ●        Nano & Micro-systems ●        Data Visualization

Paper Submission

Authors are invited to submit papers for this journal through E-mail: ijsc@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

 

·         Submission Deadline : May 07, 2022

·         Notification                  : May 27, 2022

·         Final Manuscript Due  : May 29, 2022

·         Publication Date          : Determined by the Editor-in-Chief

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