Guest Editorial
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| Title | Guest Editorial |
| Authors | |
| Abstract | Computers and information technology (IT) are the key factors influencing the growth of the modern world by accelerating innovations in almost all sectors of life. Introduction of new computational methodologies and architectural optimizations in the hardware and software arena is leading to more powerful automations in both industrial and public sectors shaping economic, social and cultural growth. The optimum use of emerging technological developments in the area of computers and information technology also play an important role in supporting human health care and medical sciences. The availability of advanced modelling methodologies with high performance algorithms and data processing techniques provides an appropriate platform for understanding natural phenomena and environmental issues. These are becoming possible due to outcomes of various research and development activities being conducted by scientific communities around the world. These research findings should be shared with the public for enabling further developments. Since 1997 the series of IEEE International Conferences on Computer and Information Technology (ICCIT) being organized by different public and private universities in Bangladesh has been successful in bringing together academics, researchers, IT professionals and IT managers to disseminate state of the art research activities and outcomes in these fastest growing fields. This Special Issue presents selected papers from the Thirteenth International Conference on Computer and Information Technology (ICCIT 2010) held at the Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh during December 23-25, 2010. The first one of this conference series was held in Dhaka, Bangladesh, in 1998, which evolved from the National Conference on Computer and Information Systems (NCClS) held in 1997 at the Dhaka University, Bangladesh. Since then the conference has grown to one of the largest computer and IT related research conferences in the South East Asian region, with participation of academics and researchers from many countries around the world. Authors are required to submit full length papers to the conference for review. A double blind review process is followed whereby each paper is reviewed by at least two independent reviewers of high international standing. The acceptance rate of papers in recent years has been around 33% or less. This is an indication of the quality of work in the papers accepted for the conference. The proceedings of ICCIT have been included in IEEExplore since 2008, enhancing the visibility of research activities of the participating researchers with possible citations in a wider sense. In 2010, a total of 410 full papers were submitted to the conference of which 136 were accepted after reviews conducted by an international program committee comprising of 81 members from 16 countries. From the 136 papers accepted for the conference 37 highly ranked papers were invited for the special issues of Journal of Communications, Journal of Computers, Journal of Multimedia, and Journal of Networks. Ten papers were categorized for the special issue of the Journal of Computers. The authors were invited to enhance their conference papers significantly, with at least 30% extension, and submit the same for review. Only six papers were successful in meeting the expectations of the review process and have been selected for inclusion in this special issue. The authors of these papers represent academic and/or research institutions from Bangladesh, Canada and Japan. These six papers cover three domains of computing namely Content Addressable Memory (CAM), Fuzzy Logic Control and Application Specific Algorithms. The first paper in this special issue is titled "An Energy Efficient Design of High-Speed Ternary CAM Using Match-Line Segmentation and Resistive Feedback in Sense Amplifier" by Syed Iftekhar Ali and M. S. Islam. It presents the design of a low energy high-speed content addressable memory. The sensing scheme in the design uses a selective pre-charge approach which compares the ternary CAM words to eliminate the mismatched words from further comparison. A positive feedback used in the sense amplifiers speeds up the search operation and reduces energy consumption. The remaining portions of those words which were matched in the previous phase are scanned to find the fully matched words. Lower resistance in the charging path of the sense amplifier in the second phase causes fast match detection. This approach shows significant speed enhancement and energy reduction when compared to other classical state of the art methods at the cost of insignificant area overhead and small voltage margin degradation. The next two papers are in the area of modelling and/or design of Fuzzy Logic Controllers. The paper titled " Modelling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques" by Tahmina Zebin and M. S. Alam presents a theoretical investigation into the dynamic modelling and characterization of a constrained two-link flexible manipulator using the finite element method. A fuzzy logic control strategy based on Genetic Algorithm (GA) has been presented to reduce the end-point vibration of a flexible manipulator without sacrificing its speed performance. An uncoupled fuzzy logic controller approach has been employed with individual controllers at the shoulder and the elbow link utilizing hub-angle error and hub-velocity feedback. The fitness function of GA optimization process has been formed by taking weighted sum of multiple objectives to trade off between system overshoot and rise time. The second paper in the category of Fuzzy Logic Control was "Design and Implementation of an Effective Fuzzy Logic Controller based on Quantum Inspired Evolutionary Algorithm" by Pintu Chandra Shill, M. Amjad Hossain, M. Kowsar Hossain, M. Faijul Amin, and Kazuyuki Murase. This paper parents a new approach based on quantum inspired evolutionary algorithm for effective selection and definition of fuzzy if-then control rules as well as the shapes of membership functions (MFs) to design fuzzy logic controllers (FLCs). It is a self-learning adaptive method and decomposes a problem in such a way that it leads to more effective knowledge acquisition and improved control performance with the FLCs. The effectiveness of the self-learning adaptive method has been verified by employing a standard test-bed namely the truck backer-upper problem. It also demonstrates the effect of different fuzzification and defuzzification methods on the response of the FLCs. The center of gravity (COG) and modified COG are used as defuzzifier to analyze the results of the fuzzy controller. There are three papers in the category of Application Specific Algorithms. The first paper titled "A Tableau Based Automated Theorem Prover Using High Performance Computing" by M. Zahidul Islam, Ahmed Shah Mashiyat, Kashif Nizam Khan, and S.M. Masud Karim presents a powerful automated theorem proving systems capable of solving immensely difficult problems. This paper describes a detailed implementation of a sequential tableau algorithm for propositional and first order logic using a procedural language rather than using a logic programming language. It illustrates a tableau based proof system in a distributed environment using the Message Passing Interface. Two distinct approaches for parallel and distributed implementation have also been investigated. The second paper in this category was the paper titled "Efficient k-dominant Skyline Computation for High Dimensional Space with Domination Power Index" by M. Anisuzzaman Siddique and Yasuhiko Morimoto, which addresses the problem of k-dominant skyline objects for high dimensional dataset. The new algorithm can efficiently compute k-dominant skyline queries to reduce the pair-wise comparison between the k-dominant skyline objects and the dataset. By applying domination power strategy, a huge number of comparisons between the k-dominant skyline objects and the dataset have been reduced. The third paper titled "Automated Essay Scoring Using Generalized Latent Semantic Analysis" by M. Monjurul Islam, and A. S. M. Latiful Hoque presents the development of an Automated Essay Grading (AEG) system using Generalized Latent Semantic Analysis which makes n-gram by document matrix instead of word by document matrix. The performance of the system has been evaluated using details representation. The new AEG system achieves higher level of accuracy as compared to human grader. Twelve reviewers from five countries have assisted the guest editors in reviewing the papers submitted to the Special Issue during two rounds of review processes. They have contributed immensely to the process by responding to the guest editors in the shortest possible time and by dedicating their valuable time to ensure that the Special Issue contains high-quality papers with significant contributions. The guest editors would like to express their sincere gratitude to all the reviewers, namely: M.S. Hasan, Abusaleh M. Jabir, Darak Sumit Jagdish, Joarder Kamruzzaman, A.S. Madhukumar, Babu Mailachalam, Hau Ngo, Minh Duc Pham, Vinod A. Prasad, Praveen Sankaran, Hasan Shaheed, and N.H. Siddique. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2012-03-01 |
| Source | Journal of Computers Vol 7, No 3 (2012): Special Issue: Selected Papers of the 13th International Conference on Computer |
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