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Journal of Advanced Computational Intelligence and Intelligent Informatics

  • ISSN : 1343-0130(Print) / 1883-8014(Online)
  • Honorary Editor :Lotfi A. Zadeh (University of California)
  • Editors-in-Chief :Toshio Fukuda (Nagoya University), Kaoru Hirota (Tokyo Institute of Technology)
  • In Cooperation with :
    ~International Fuzzy Systems Association (IFSA),
    ~Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT),
    ~Brazilian Society of Automatics (SBA),
    ~The Society of Instrument and Control Engineers (SICE),
    ~John von Neumann Computer Society (NJSZT),
    ~Vietnamese Fuzzy Systems Society (VFSS),
    ~Fuzzy Systems and Intelligent Technologies Research Society of Thailand (FIRST),
    ~Korean Institute of Intelligent Systems (KIIS),
    ~Taiwanese Association for Artificial Intelligence (TAAI)
  • Indexed in Scopus, Compendex (Ei)

open access

JACIII Vol.15 No.9 Nov. 2011

Special Issue on Awareness Computing in Science and Engineering

Guest Editors: Cheng-Hsiung Hsieh (Professor, Chaoyang University of Technology, Taiwan) and Hsien-Chou Liao (Associate Professor, Chaoyang University of Technology, Taiwan)

Special Issue on Selected Papers from NaBIC 2010

Guest Editors: Yusuke Nojima (Assistant Professor, Osaka Prefecture University, Japan) and Mario Köppen (Professor, Kyushu Institute of Technology, Japan)


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JACIII Vol.15 No.9 Nov. 2011

WIN Algorithm for Discrete Online TSP
Yonghua Wu, Guohun Zhu, Huaying Chen, and Jucun Qin, pp. 1199-1202
Abstract | Preview | Full-text (PDF 732KB)
Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique
Tze Ling Jee, Kai Meng Tay, and Chee Khoon Ng, pp. 1203-1210
Abstract | Preview | Full-text (PDF 3051KB)
Spatiotemporal Analysis of Brain Activity During Understanding Honorific Expressions
Michio Sugeno and Takahiro Yamanoi, pp. 1211-1220
Abstract | Preview | Full-text (PDF 5532KB)
Evaluating Functional Connectivity in Alcoholics Based on Maximal Weight Matching
Guohun Zhu, Yan Li, and Peng (Paul) Wen, pp. 1221-1227
Abstract | Preview | Full-text (PDF 1319KB)


Special Issue on Awareness Computing in Science and Engineering

Special Issue on Awareness Computing in Science and Engineering
Cheng-Hsiung Hsieh and Hsien-Chou Liao, p. 1229

As awareness computing attracts increasing attention, this special issue has been arranged for researchers, engineers, and scientists to discuss on awareness computing and to exchange ideas, opinions, and the latest results in this emerging new field.

Awareness is the ability to be conscious of, feel, or perceive – in other words, to have awareness. It implies vigilance in observing and alertness in drawing inferences from experience. The ultimate goal of awareness computing is to create computing systems that are aware.

The eight papers accepted for this issue come mainly from International Symposium on Aware Computing 2010 and cover different aspects of awareness computing in science and engineering. The authors have been kind enough to revise their papers for this publication.

Two papers focus on awareness learning and multimedia-based learning, three examine localization using sensor networks, sound sources, and radiofrequency identification, and three explore a fuzzy-rules mining algorithm, an interactive map search system, and semi-supervised method for pattern recognition.

We thank the reviewers for their time and effort in reviewing papers within a limited time. We are most grateful to Professor Qiangfu Zhao of the University of Aizu, Japan, and to Professors Toshio Fukuda and Kaoru Hirota, Editors-in-Chief, for inviting us to guest-edit this special issue. We also thank the Fuji Technology Press staff for its ongoing assistance.


Document Analysis System Based on Awareness Learning
Jie Ji, Rung-Ching Chen, and Qiangfu Zhao, pp. 1230-1240
Abstract | Preview | Full-text (PDF 557KB)
Process of Acquiring Musical Performance Skills for Enhanced “Awareness” Given by a Multimedia-Based Learning Approach
Katsuko T. Nakahira, Miki Akahane, and Yukiko Fukami, pp. 1241-1247
Abstract | Preview | Full-text (PDF 2740KB)
An Improvement of Fuzzy Association Rules Mining Algorithm Based on Redundancy of Rules
Toshihiko Watanabe, pp. 1248-1255
Abstract | Preview | Full-text (PDF 1048KB)
An Interactive Map Search System Using Wavelet and Shape Contexts
Jungpil Shin and Hsien-Chou Liao, pp. 1256-1261
Abstract | Preview | Full-text (PDF 529KB)
Error-Correcting Semi-Supervised Pattern Recognition with Mode Filter on Graphs
Weiwei Du and Kiichi Urahama, pp. 1262-1268
Abstract | Preview | Full-text (PDF 221KB)
Mutual Localization of Multiple Sensor Node Robots
Keitaro Naruse, Shigekazu Fukui, and Jie Luo, pp. 1269-1276
Abstract | Preview | Full-text (PDF 1200KB)
Spatial Localization of Concurrent Multiple Sound Sources Using Phase Candidate Histogram
Huakang Li, Jie Huang, Minyi Guo, and Qunfei Zhao, pp. 1277-1286
Abstract | Preview | Full-text (PDF 1632KB)
Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method
Rung-Ching Chen, Yu-Cheng Lin, Sheng-Ling Huang, and Qiangfu Zhao, pp. 1287-1298
Abstract | Preview | Full-text (PDF 2060KB)


Special Issue on Selected Papers from NaBIC 2010

Special Issue on Selected Papers from NaBIC 2010
Yusuke Nojima and Mario Köppen, p. 1299

The Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010) was held at the Kitakyushu International Conference Center December 15-17, 2010, in Kitakyushu, Japan. NaBIC2010 provided a forum for researchers, engineers, and students from worldwide to discuss state-of-the-art machine intelligence and to address issues related to building human-friendly machines by learning from nature.

NaBIC2010 covered a wide range of studies – from theoretical and algorithmic studies on nature and biologically inspired computing techniques to their real-world applications.

Top researchers presenting papers at NaBIC2010 were invited to contribute to this special issue. Through a fair peer review process, four extended papers have been accepted – an acceptance rate of 50%.

The first paper entitled “A Study on Computational Efficiency and Plasticity in Baldwinian Learning” by Liu and Iba analyzes Baldwinian evolution efficiency by comparing it to alternatives such as standard Darwinian evolution with no learning, Lamarckian evolution, and Baldwinian evolution with different learning and plasticity evolution.

The second paper entitled “Experimental Study of a Structured Differential Evolution with Mixed Strategies” by Ishimizu and Tagawa proposes island-based DE with ring or torus networks. The authors examine the performance of the proposed DE with the effects of different strategies.

The third paper entitled “Multi-Space Competitive DGA for Model Selection and its Application to Localization of Multiple Signal Sources” by Ishikawa, Misawa, Kubota, Tokiwa, Horio, and Yamakawa proposes a distributed genetic algorithm in which each subpopulation searches for a solution in different decision space. Subpopulations change size based on search progress.

The fourth paper entitled “An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progress” by Fukumoto, Nakashima, Ogawa, and Imai uses heart-rate variability instead of direct human evaluations in an interactive evolutionary computation framework.

As guest editors of this special issue, we would like to thank the authors for their unique and interesting contributions and the reviewers for their careful checking and invaluable comments.


A Study on Computational Efficiency and Plasticity in Baldwinian Learning
Shu Liu and Hitoshi Iba, pp. 1300-1309
Abstract | Preview | Full-text (PDF 1513KB)
Experimental Study of a Structured Differential Evolution with Mixed Strategies
Takashi Ishimizu and Kiyoharu Tagawa, pp. 1310-1319
Abstract | Preview | Full-text (PDF 538KB)
Multi-Space Competitive DGA for Model Selection and its Application to Localization of Multiple Signal Sources
Shudai Ishikawa, Hideaki Misawa, Ryosuke Kubota, Tatsuji Tokiwa, Keiichi Horio, and Takeshi Yamakawa, pp. 1320-1328
Abstract | Preview | Full-text (PDF 3995KB)
An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progression
Makoto Fukumoto, Shuta Nakashima, Shintaro Ogawa, and Jun-ichi Imai, pp. 1329-1336
Abstract | Preview | Full-text (PDF 633KB)


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