Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sajja, Priti S.
- Multilayer Architecture of Parallel-Genetic-Fuzzy System:A Case of Effective Transportation for Co-Operatives in India
Abstract Views :188 |
PDF Views:6
Authors
Affiliations
1 Post Graduate Department of Computer Science, Sardar Patel University, IN
1 Post Graduate Department of Computer Science, Sardar Patel University, IN
Source
National Journal of System and Information Technology, Vol 10, No 2 (2017), Pagination: 91-104Abstract
The paper discusses broad architecture of parallel execution of genetic-fuzzy system by identifying limitations of the single minded traditional genetic algorithms. For additional advantages to manage uncertainty as well as other advantages related with fuzzy logic, fuzzification is also incorporated in the approach. The propose architecture of the hybrid genetic-fuzzy systems is experimented in the domain of dairy co-operatives and sample encoding, genetic operations, fitness functions and fuzzification are discussed for the case. An interface screen is also presented to demonstrate working of the prototype system. At end, advantages and future scope of the proposed work is presented.
References
- A.S. Wu, H. Yu, S. Jin, K.-C. Lin, G. Schiavone. (2004). An incremental genetic algorithm approach to multiprocessor scheduling. IEEE Trans. Parallel Distrib. Syst. 15 , 824-834.
- Akerkar R A and Sajja Priti Srinivas. (2009). Knowledge Based Systems. MA, USA: Jones & Bartlett Publishers.
- Bethke, A. (1976). Comparison of genetic algorithms and gradient-based optimizers on parallel processors:efficiency of use of processing capacity. Tech. Rep. No. 197, University of Michigan, Logic of Computers Group, Ann Arbor, MI.
- Cantu-Paz, E. (1997). Designing efficient master–slave parallel genetic algorithms. Technical L Report No. 97004, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL.
- E. Alba, F. Luna, A.J. Nebro, J.M. Troya. ((2004) ). Parallel heterogeneous genetic algorithms for continuous optimization . Parallel Computing 30 , 699-719.
- Fatma A. Omaraa, Mona M. Arafa. (2010). Genetic algorithms for task scheduling problem . Journal of Parallel Distrib. Comput. 70 , 13-22.
- Grefenstette, J. (1981). Parallel adaptive algorithms for function optimization. Tech. Rep. No. CS-81-19, Vanderbilt University, Computer Science Department, Nashville, TN.
- José A. Moral-Muñoz, Manuel J. Cobo, Francisco Chiclana, Andrew Collop, and Enrique Herrera-Viedma. (2015). Analyzing Highly Cited Papers in Intelligent. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 1-9.
- Matthew Barth, Guoyuan Wu, and Kanok Boriboonsomsin . (March 2016). Intelligent Transportation Systems Show Promise in. National Centre for sustainable Transportation, Center for Environmental Research and Technology (CE-CERT) University of California, Riverside,.
- Mohammadreza Ghatreh Samani, Seyyed-Mahdi Hosseini-Motlagh. (vol 5, isssue 1, 2017 ). A Hybrid Algorithm for a Two-Echelon Location-Routing Problem with Simultaneous Pickup and Delivery under Fuzzy Demand. International Journal of Transportation Engineering.
- Tanese, R. (1989). Distributed genetic algorithm, . Proceedings of Third International Conference on Genetic algorithms , pp. 434-439.
- Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu. (2014). An effective parallel approach for genetic-fuzzy data mining. Expert Systems with Applications, Volume 41, Issue 2 , 655-662.
- Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 338-358.
- Innovative Feature Selection for Effective Context Resolution Using Natural Language Query Interface
Abstract Views :290 |
PDF Views:6
Authors
Affiliations
1 Dept. of MCA, SVIT VASAD, IN
2 Department of Computer Science, Sardar Patel University, IN
1 Dept. of MCA, SVIT VASAD, IN
2 Department of Computer Science, Sardar Patel University, IN
Source
National Journal of System and Information Technology, Vol 11, No 1 (2018), Pagination: 1-8Abstract
Any system that supports human interaction through natural language has high utility and ease of use. The challenge in natural language arises due to difficulty in correct interpretation, disambiguation and context resolution. Use of natural language for information retrieval and other related activities enhances effectiveness of the process and provides greater flexibility to the users in terms of document access. To do so, use of a feature vector with respect to different perspectives in addition to metadata is proposed. The work presented here encompasses a generic architecture of context resolution and categorization of document through use of natural language to achieve the intended goal. The architecture encompasses various document indices along with methodology for lexicon analysis. It also uses metadata. The proposed document features (indices) along with lexical analysis will help in correctly determining the context through the limited query keywords. The architecture is domain independent and can be used for various applications in vernacular languages. To demonstrate the application of the architecture and its methodology, necessary discussion is also included in this paper with required technical details.Keywords
Context Resolution, Lexical Analysis, Natural Language Interface, Document Features, Text Categorization.References
- Alessandro Moschitti Natural language processing and automated text categorization, Ph.D.thesis, (2003).
- Andrei Mikheev, Periods, Capitalised Words, Article published at University of Edinburgh, association for computer linguistics, (2002).
- Amisha Shingala, Dr. Paresh Virparia, Enriching Document Features for Effective Information Retrieval using Natural Language Query Interface, International Journal of IT, Engineering and Applied Sciences Research, (2012).
- Barzilay and Elhadad, R. Barzilay and M. Elhadad. Using lexical chains for text summarization. In In Proceedings of the Intelligent Scalable Text Summarization Workshop (ISTS’97), ACL, Madrid,( 1997)
- Claude de Loupy, Eric Crestan, Elise Lamaire, Proper Noun Thesaurus for Document Retrieval and Question Answering, project by French government, (2001).
- David Nadeau & Santoshi Sekine, A survey of named entity recognisation and classification, National Research council Canada/New York Univeristy, (2007)
- Joanna Rabiega, Syntactic Structure of Polish Proper Names of Places, ICS PAS Warsaw, Porland, (2006)
- Marcus Hassler & G.unther Flied, Text Preparation through extended tokenization, Article published at University Klangenfurt, (2006).
- Marie-Catherine de Marneffe, Christopher D. Manning, “The Stanford typed dependencies manual” in Revised for Stanford Parser v1.6.2, ,(2010).
- Nina Wacholder et.al, Disambiguation of proper names in text in the proceedings of Natural Language processing conference, Washinton D.C, (1997)
- Ratinov, L. and Roth, D, Design challenges and misconceptions in named entity recognition (2009).
- Wacholder N, Y.Ravin, Retrieving information from full text using linguistic knowledge, in proceedings of fifteen national online meeting, New York, (1994).