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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)
Editor-in-Chief :Toshio Fukuda (Nagoya University), Kaoru Hirota (Tokyo Institute of Technology)

Vol.15 No.9 | Vol.16 No.2

open access

JACIII Vol.16 No.1 January 2012

Special Issue on Information Medical Science

Editor : Yutaka Hatakeyama (Associate Professor, Kochi University, Japan)

Special Issue on New Approach to Intelligent Machines

Editor : Hiroshi Takahashi (Professor, Shonan Institute of Technology, Japan)

Special Issue on Aggregation Operators and Clustering

Editors : Vicenç Torra (IIIA-Institut d’Investigació en Intel・ligència Artificial, Consejo Superior de Investigaciones Científicas (CSIC), Spain) and Yasuo Narukawa (Toho Gakuen, Japan)

Guest Editor : Marc Daumas (PROMES (UPR CNRS 8521), Tecnosud – Rambla de la Thermodynamique, France)

JACIII Vol.16 No.1 January 2012

Paper:: Information Enhancement on a Focused Object Using Linked Data; Kanako Onishi and Ichiro Kobayashi, pp. 4-12; Abstract | Preview | Full-text (PDF 631KB)
Paper:: Similarity Retrieval of Motion Capture Data Based on Derivative Features; Worawat Choensawat, Woong Choi, and Kozaburo Hachimura, pp. 13-23; Abstract | Preview | Full-text (PDF 1104KB)

Special Issue on Information Medical Science

Editorial:

Special Issue on Information Medical Science

Yutaka Hatakeyama, p. 25

One important and interesting application in computational intelligence technology is medical application. Medical engineering research covers such areas as medical image processing. With most health information now described electronically, hospitals are accumulating large amounts of medical data, including imaging, text, and structured materials. This has made “information medical science” vastly more important in improving healthcare technology.

This special issue introduces an application based on hospital data, medical care support systems, and medical image processing. The application deals with analytical approaches, navigation systems, medical data management, and text mining for summary data. The support system shows diagnosis and robotassisted therapy. Medical imaging targets X-ray, blood cell, and ultrasonography images.

As guest editors, we can assure the readers that the papers in this special issue have great social impact in this research area and encourage good relations with engineering and medical practice approaches.

We thank the contributors and reviewers for introduce these latest achievements in this exciting field.

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Paper:: Visual Analysis of Health Checkup Data Using Multidimensional Scaling; Keiko Yamamoto, Satoshi Tamura, Satoru Hayamizu, and Yasutomi Kinosada, pp. 26-32; Abstract | Preview | Full-text (PDF 1243KB)
Paper:: Hospital Navi – A New Database for Searching Medical Information –; Hiroshi Gohma, Mika Asano, Nobuyuki Hamajima, Gen Sobue, and Shin-ichi Sugiura, pp. 33-37; Abstract | Preview | Full-text (PDF 1243KB)
Paper:: System Replacement to a New HIS and Data Warehouse; Masayuki Honda and Takehiro Matsumoto, pp. 38-41; Abstract | Preview | Full-text (PDF 1880KB)
Paper:: Ruby Implementation of the OpenEHR Specifications; Shinji Kobayashi and Akimichi Tatsukawa, pp. 42-47; Abstract | Preview | Full-text (PDF 233KB)
Paper:: Auto-Selection of DPC Codes from Discharge Summaries by Text Mining in Several Hospitals and Analysis of Differences in Discharge Summaries; Shunsuke Doi, Takahiro Suzuki, Gen Shimada, Mitsuhiro Takasaki, Shinsuke Fujita, Toshiyo Tamura,
and Katsuhiko Takabayashi, pp. 48-54; Abstract | Preview | Full-text (PDF 508KB)

Paper:: New Method to Assist Discrimination of Liver Diseases by Spherical SOM with Mahalanobis Distance; Norie Kanzaki and Akihiro Kanagawa, pp. 55-61; Abstract | Preview | Full-text (PDF 1954KB)
Paper:: A Study on Conversational Content Recognition Method Using Japanese WordNet for Robot-Assisted Therapies; Yuta Izutsu, Hiroharu Kawanaka, Koji Yamamoto, Kiyoshi Suzuki, Haruhiko Takase, and Shinji Tsuruoka, pp. 62-68; Abstract | Preview | Full-text (PDF 776KB)
Paper:: Discrimination of Pneumoconiosis X-Ray Images Scanned with a CCD Scanner; Masahide Minami, Koji Abe, and Munehiro Nakamura, pp. 69-75; Abstract | Preview | Full-text (PDF 829KB)
Paper:: Interest-Based Ordering for Fuzzy Morphology on White Blood Cell Image Segmentation; Chastine Fatichah, Martin Leonard Tangel, Muhammad Rahmat Widyanto, Fangyan Dong, and Kaoru Hirota, pp. 76-86; Abstract | Preview | Full-text (PDF 2536KB)
Paper:: Algorithm for Estimation of Thyroid Gland Size in Ultrasonography Images for Extracting Abnormal Thyroid in Medical Practice; Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima, Teruaki Watabe, and Yoshiyasu Okuhara, pp. 87-93; Abstract | Preview | Full-text (PDF 1804KB)

Special Issue on New Approach to Intelligent Machines

Editorial:

Special Issue on New Approach to Intelligent Machines

Hiroshi Takahashi, p. 95

Six papers on Human Machine Interfaces have been published from a new point of view. As one of the important technologies for developing optimal human machine interaction, communication between humans and machines has attracted much interest. In this special issue, the editor focuses on new methods for communicating mutual information on the characteristics of both human operators and machines, including computers and vehicles. In this communication, readers can operate machines easily and comfortably.

The first article, by Hiroshi Takahashi and Hirohiko Honda, studies the possibility of applying subliminal visual marks for informing drivers of hazardous factors without causing a nuisance in the driver-assistance systems.

The second paper, by Hiroshi Igarashi, proposes subliminal control parameter calibration in interactive human-machine operational environments. Subliminal calibration will enable users to master handling in a short time.

The third paper, by Hiroshi Takahashi and Hirohiko Honda, focuses on computer game operation as influenced by ultrasound exposure. The relationship between ultrasound signals and operator behavior is discussed.

The fourth paper, written by Hirohiko Honda and Kazuko Tobita, concerns the improvement of personal computer operation using auditory signals for visually handicapped persons, who can then identify operational processes through simple sounds.

The fifth contribution, by Hirohiko Honda, involves improving mouse operation with personal computers for those physically challenged who suffer progressive deterioration. The proposed system helps such users maintain quality of life because they are able to continue using a personal computer even as their state of mobility deteriorates.

The closing contribution, by Hiroshi Igarashi, Yoshinobu Adachi, and Kazunari Takahashi, deals with multiagent systems based on human social behavior. Adaptability and the total performance of the author’s proposed technique are confirmed through a pursuit problem in a multiagent system.

We thank the referees for their reviews and the Fuji Technology Press Ltd. staff for its encouragement and advice.

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Paper:: A Study on the Possibility of Applying Subliminal Visual Cue for Guiding Subject’s Attention; Hiroshi Takahashi and Hirohiko Honda, pp. 96-107; Abstract | Preview | Full-text (PDF 7042KB)
Paper:: Subliminal Calibration for Machine Operation; Hiroshi Igarashi, pp. 108-116; Abstract | Preview | Full-text (PDF 640KB)
Paper:: A Study on the Change of Operation of Driving Video Game Under Ultrasound Exposure; Hiroshi Takahashi and Hirohiko Honda, pp. 117-123; Abstract | Preview | Full-text (PDF 2109KB)
Paper:: Efficiency Improvement of Information Acquisition in PC Operation with Auditory Signal; Hirohiko Honda and Kazuko Tobita, pp. 124-130; Abstract | Preview | Full-text (PDF 480KB)
Paper:: Mouse Operation Support for the Physically-Challenged Persons who have Progressive Intractable Diseases; Hirohiko Honda, pp. 131-138; Abstract | Preview | Full-text (PDF 1348KB)
Paper:: Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior; Hiroshi Igarashi, Yoshinobu Adachi, and Kazunari Takahashi, pp. 139-146; Abstract | Preview | Full-text (PDF 2572KB)

Special Issue on Aggregation Operators and Clustering

Editorial:

Special Issue on Aggregation Operators and Clustering

Vicenç Torra, Yasuo Narukawa, and Mark Daumas, p. 147

This issue features decision making and other tools used in artificial intelligence applications. More specifically, the issue includes five papers focused on aggregation operators and clustering.

The series starts with a paper by Yoshida on weighted quasiarithmetic means that focuses on their monotonicity viewed from utility and weighting functions.

In the second paper, Nohmi, Honda and Okazaki focus on trust evaluation for networks, studying matrix operations based on t-norms and t-conorms. The authors also propose fuzzy graphs using adjacent matrices.

These works are followed by three on fuzzy clustering.

Kanzawa, Endo and Miyamoto present a variation of fuzzy c-means based on kernel functions in an approach developed for data with tolerance.

Endo covers clustering using kernel functions. The paper is based on a fuzzy nonmetric model including pairwise constraints in the clustering process.

The concluding paper also uses pairwise constraints, but within agglomerative hierarchical clustering. Hamasuna, Endo and Miyamoto include clusterwise tolerance in their mode.

As the editors of this issue, we would like to thank the referees for their work in the reviews and journal editors-in-chief Profs. Toshio Fukuda and Kaoru Hirota and the journal staff for their support.

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Paper:: Weighted Quasi-Arithmetic Means and the Domain Translations; Yuji Yoshida, pp. 148-153; Abstract | Preview | Full-text (PDF 673KB)
Paper:: A Trust Evaluation of Networks Utilizing Matrix Operations Based on t-norms and t-conorms; Masaya Nohmi, Aoi Honda, and Yoshiaki Okazaki, pp. 154-161; Abstract | Preview | Full-text (PDF 473KB)
Paper:: On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis; Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto, pp. 162-168; Abstract | Preview | Full-text (PDF 1537KB)
Paper:: On Entropy Based Fuzzy Non Metric Model – Proposal, Kernelization and Pairwise Constraints –; Yasunori Endo, pp. 169-173; Abstract | Preview | Full-text (PDF 659KB)
Paper:: On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints; Yukihiro Hamasuna, Yasunori Endo, and Sadaaki Miyamoto, pp. 174-179; Abstract | Preview | Full-text (PDF 413KB)

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