International Journal on Soft Computing ( IJSC )

                                          

International Journal on Soft Computing ( IJSC )

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

http://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: ijscjournal@airccse.org  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 : February 09, 2019

·         Notification                   : March 09, 2019

·         Final Manuscript Due : March 19, 2019

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

Contact Us

Here's where you can reach us : ijscjournal@yahoo.com or ijscjournal@airccse.org

Please Visit

For other details please visit : http://airccse.org/journal/ijsc/ijsc.html

CURRENT STATUS AND FUTURE RESEARCH DIRECTIONS IN MONITORING VIGILANCE OF INDIVIDUAL OR MASS AUDIENCE IN MONOTONOUS WORKING ENVIRONMENT

CURRENT STATUS AND FUTURE RESEARCH DIRECTIONS IN MONITORING VIGILANCE OF INDIVIDUAL OR MASS AUDIENCE IN MONOTONOUS WORKING ENVIRONMENT 

B. F. Momin1 and Parag P. Abhyankar2 1Department of Computer Engg., WCE, Sangli, India bfmomin@yahoo.com 2Department of Information Technology, Finolex Academy, Ratnagiri, India paragabhyankar15@gmail.com 

ABSTRACT 

Working in monotonous environment often causes lack of concentration or fatigue in an operator and many times such non-vigilance leads to accidents. Therefore early detection of fatigued state has become essential in monotonous working environments like driving vehicle, operating machines etc. Such fatigued state often gets developed gradually and can be identified by certain symptoms. Different types of symptoms help in modelling non-vigilance in different ways. This paper reviews and compares current status of research in modelling fatigue where fatigue is modelled using probabilistic models, machine learning models, finite state machine etc. The paper also presents possible future research directions in the same field like identifying non-fatigue non-vigilance mental states, extending non-vigilance monitoring for mass audience etc. 

KEYWORDS 

Vigilance Monitoring, Fatigue Modelling, Physiological, Behavioural and Visual Measure, Machine Learning.  

ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3211ijsc04.pdf

http://airccse.org/journal/ijsc/current2012.html

DYNAMIC CONTEXT ADAPTATION FOR DIAGNOSING THE HEART DISEASE IN HEALTHCARE ENVIRONMENT USING OPTIMIZED ROUGH SET APPROACH

DYNAMIC CONTEXT ADAPTATION FOR DIAGNOSING THE HEART DISEASE IN HEALTHCARE ENVIRONMENT USING OPTIMIZED ROUGH SET APPROACH 

G.NaliniPriya1 , A.Kannan2 and P.Ananahakumar3 

1 Research scholar ,Department of IST, Anna University, Chennai nalini.anbu@gmail.com 2 Professor, Department of IST, Anna University, Chennai 3AssociateProfessor, Department of IT, Anna University, Chennai 

ABSTRACT 

In a smart medical environment, the ability to adapt context is critical. Context adaptation (CA) requires applications to delegate adaptation control to an entity that can receive state information and trigger adaptation in multiple applications. Thus, the idea of CA is to extract general knowledge from each contextualized system or medical dataset and to use it, in adapted form, when facing a similar problem in a different environment. In this paper, we describe a model for providing smart intelligent diagnosing services to the healthcare Environment and present work on our own architecture that has been designed to meet the key requirements of healthcare in a context-aware adaptive applications. The proposed system is capable of providing context intelligence, Decision Making, adaptability and extensible application framework for dynamic remote healthcare environments. The objective of the research is to revolutionize daily human life by making people’s surroundings flexible and adaptive. 

KEY WORDS 

Context adaptations, CAD(coronary artery disease),Heart disease dataset , Context Aware Services, context service discovery, rough set, Fuzzy set.  

ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3211ijsc02.pdf

http://airccse.org/journal/ijsc/current2012.html

International Journal on Soft Computing ( IJSC )

International Journal on Soft Computing ( IJSC )

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

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

Contact Us

Here's where you can reach us : ijscjournal@yahoo.com or ijscjournal@airccse.org

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