Applied Computing

1. Front Matter

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2. Machine Learning and Soft Computing

   1. Effective Evolutionary Multimodal Optimization by Multiobjective Reformulation Without Explicit Niching/Sharing

      • Rajeev Kumar, Peter Rockett

      Pages 1-8

   2. Development of Genetic Algorithm Embedded KNN for Fingerprint Recognition

      • H. R. Sudarshana Reddy, N. V. Subba Reddy

      Pages 9-16

   3. Genetic IMM_NN Based Tracking of Multiple Point Targets in Infrared Image Sequence

      • Mukesh A. Zaveri, S. N. Merchant, Uday B. Desai

      Pages 17-25

   4. Finding the Natural Groupings in a Data Set Using Genetic Algorithms

      • Nirmalya Chowdhury, Premananda Jana

      Pages 26-33

   5. Volumetric Measurement of Heart Using PA and Lateral View of Chest Radiograph

      • I. C. Mehta, Z. J. Khan, R. R. Khotpal

      Pages 34-40

   6. On the Optimization of Fuzzy Relation Equations with Continuous t-Norm and with Linear Objective Function

      • Dhaneshwar Pandey

      Pages 41-51

   7. Progressive Boosting for Classifier Committee Learning

      • Md. Waselul Haque Sadid, Md. Nazrul Islam Mondal, Md. Shamsul Alam, Abu Sayeed Md. Sohail, Boshir Ahmed

      Pages 52-58

3. Scheduling, Optimisation and Constraint Solving

   1. Parallel SAT Solving with Microcontrollers

      • Tobias Schubert, Bernd Becker

      Pages 59-67

   2. Flow Shop Scheduling with Late Work Criterion – Choosing the Best Solution Strategy

      • Jacek Blazewicz, Erwin Pesch, Malgorzata Sterna, Frank Werner

      Pages 68-75

   3. GA-Based Multiple Route Selection for Car Navigation

      • Basabi Chakraborty

      Pages 76-83

   4. Genetic Algorithm for Airline Crew Scheduling Problem Using Cost-Based Uniform Crossover

      • Ketan Kotecha, Gopi Sanghani, Nilesh Gambhava

      Pages 84-91

4. Neural Networks and SVMs

   1. Neural Network and Wavelets in Arrhythmia Classification

      • Vikas Jain, J. S. Sahambi

      Pages 92-99

   2. ECG Arrhythmia Analysis by Multicategory Support Vector Machine

      • Mahesh S. Khadtare, J. S. Sahambi

      Pages 100-107

   3. Approximation of Multi-pattern to Single-Pattern Functions by Combining FeedForward Neural Networks and Support Vector Machines

      • Vijayanarasimha Hindupur Pakka

      Pages 108-114

   4. Comparison of Numerical Integration Algorithms in Raster CNN Simulation

      • V. Murgesh, K. Murugesan

      Pages 115-122

5. Natural Language Processing and Information Retrieval

   1. Morphological Analyzer for Manipuri: Design and Implementation

      • Sirajul Islam Choudhury, Leihaorambam Sarbajit Singh, Samir Borgohain, Pradip Kumar Das

      Pages 123-129

   2. Using Selectional Restrictions for Real Word Error Correction

      • R. S. D. Wahida Banu, R. Sathish Kumar

      Pages 130-136

   3. Mining Top – k Ranked Webpages Using Simulated Annealing and Genetic Algorithms

      • P. Deepa Shenoy, K. G. Srinivasa, A. O. Thomas, K. R. Venugopal, L. M. Patnaik

      Pages 137-144

   4. Using Document Dimensions for Enhanced Information Retrieval

      • Thimal Jayasooriya, Suresh Manandhar

      Pages 145-152

The focus of the Asian Applied Computing Conference (AACC) is primarily to bring the research in computer science closer to practical applications. The conference is aimed primarily at topics that have immediate practical bene?ts. By hosting the conf- ence in the developingnations in Asia we aim to provide a forum for engagingboth the academic and the commercial sectors in that region. The ?rst conference “Information Technology Prospects and Challenges” was held in May 2003 in Kathmandu, Nepal. Thisyear theconferencenamewas changedto “Asian AppliedComputingConference” to re?ect both the regional- and the application-oriented nature of the conference. AACC is planned to be a themed conference with a primary focus on a small set of topics although other relevant applied topics will be considered. The theme in AACC 2004 was on the following topics: systems and architectures, mobile and ubiquitous computing, soft computing, man machine interfaces,and innovative applications for the developing world. AACC 2004 attracted 184 paper submissions from around the world, making the reviewing and the selection process tough and time consuming. The selected papers covered a wide range of topics: genetic algorithms and soft computing; scheduling, - timization andconstraintsolving; neuralnetworksandsupportvectormachines;natural language processing and information retrieval; speech and signal processing; networks and mobile computing; parallel, grid and high-performance computing; innovative - plications for the developing world; cryptography and security; and machine lea- ing. Papers were primarily judged on originality, presentation, relevance and quality of work. Papers that had clearly demonstrated results were given preference.

• LPC
• Navigation
• algorithms
• combinatorial optimization
• cryptography
• intelligent information processing
• learning
• modeling
• neurl computing
• ontology
• optimization
• parallel computing
• security
• soft computing
• speech synthesis

• Department of Computer Science, The University of York, Heslington, York, UK

  Suresh Manandhar

• Advanced Computer Architectures Group, Department of Computer Science, University of York, York, UK

  Jim Austin

• Department of Electrical Engineering, Indian Institute of Technology, Powai, Bombay, India

  Uday Desai

• Department of Computer Science, University of Tokyo, Tokyo, Japan

  Yoshio Oyanagi

• Indian Institute of Information Technology, Bangalore, Bangalore, India

  Asoke K. Talukder

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