JACIII Editor’s Choice 2011 (Vol.15)

Vol.15 No.9 pp. 1230-1240 (November 2011)

Document Analysis System Based on Awareness Learning

Jie Ji, Rung-Ching Chen, and Qiangfu Zhao

Abstract: The rapid growth of the Internet has naturally encouraged users to handle and process documents as online information rather than hard-copies, e.g., on paper. Dealing with large amounts of information efficiently requires classifying data into meaningful categories. Many machine-learning-based algorithms have been proposed for document classification, yieldi...<more>

Vol.15 No.8 pp. 972-979 (October 2011)

Learning Strategy in Time-to-Contact Estimation of Falling Objects

Hiroyuki Kambara, Keiichi Ohishi, and Yasuharu Koike

Abstract: The ability to estimate the time that remains before contact (Time-To-Contact or TTC) of a falling object is critical in daily life. In this paper, we investigated how the Central Nervous System (CNS) becomes able to estimate the TTC of a ball falling at various accelerations. According to experiments on the human ability to catch a ball falling at various a...<more>

Vol.15 No.8 pp. 1030-1038 (October 2011)

Kicking Motion Imitation of Inverted-Pendulum Mobile Robot and Development of Body Mapping from Human Demonstrator

Sataya Takahashi, Yasutake Takahashi, Yoichiro Maeda, and Takayuki Nakamura

Abstract: This paper proposes a new method for learning the dynamic motion of an inverted-pendulum mobile robot from the observation of a human player’s demonstration. First, an inverted-pendulum mobile robot with upper and lower body links observes the human demonstration with a camera and extracts the human region in images. Second, the robot maps the region t...<more>

Vol.15 No.8 pp. 1140-1148 (October 2011)

Multi-Objective Scheduling for Space Science Missions

Mark D. Johnston and Mark E. Giuliano

Abstract: We have developed an architecture called MUSE (Multi-User Scheduling Environment) to enable the integration of multi-objective evolutionary algorithms with existing domain planning and scheduling tools. Our approach is intended to make it possible to reuse existing software, while obtaining the advantages of multi-objective optimization algorithms. This appr...<more>

Vol.15 No.6 pp. 662-670 (August 2011)

Feature Extraction with Space Folding Model and its Application to Machine Learning

Minh Tuan Pham, Tomohiro Yoshikawa, Takeshi Furuhashi, and Kanta Tachibana

Abstract: Feature extraction provides an essential element in most machine learning methods, including supervised learning with neural networks. Linearly inseparable data distributions are often non-linearly transformed in some way to make them more linearly separable in the feature space. In this paper, we propose a method of feature extraction with a space folding m...<more>

Vol.15 No.5 pp. 534-544 (July 2011)

Dual-Hierarchical Control Mechanism of Interpersonal Embodied Interactions in Cooperative Walking

Takeshi Muto and Yoshihiro Miyake

Abstract: Interpersonal embodied interactions play a significant role as emergent functions in human development and rehabilitation. However, a framework for applying embodied interactions to “human interface systems” to support such emergent functions has not yet been suggested because the details of the motorcontrol mechanism have not yet been clarified....<more>

Vol.15 No.3 pp. 264-287 (May 2011)

Inference for Nonlinear Mapping with Sparse Fuzzy Rules Based on Multi-Level Interpolation

Kiyohiko Uehara, Shun Sato, and Kaoru Hirota

Abstract: An inference method is proposed for sparse fuzzy rules on the basis of interpolations at a number of points determined by α-cuts of given facts. The proposed method can perform nonlinear mapping even with sparse rule bases when each given fact activates a number of fuzzy rules which represent nonlinear relations. The operations for the nonlinear mappin...<more>

Vol.15 No.3 pp. 322-328 (May 2011)

Semantically Enhanced Code Clone Refinement Algorithm Based on Analysis of Multiple Detection Reports

Ricardo Sotolongo, Fangyan Dong, and Kaoru Hirota

Abstract: An algorithm based on semantic analysis of multiple detection tools’ reports using WordNet is proposed oriented on the refinement of code clones. It parses different detection tools’ reports looking for new clone specifications, and refines the location of existing ones using semantic information contained in source code. It is applied to a real ...<more>

Vol.15 No.1 pp. 56-62 (January 2011)

Risk Analysis of Portfolios Under Uncertainty: Minimizing Average Rates of Falling

Yuji Yoshida

Abstract: A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing the perception-based extension of the average value-at-risk, this paper formulates a portfolio problem to minimize the risk of falling with fuzzy random variables. In the proposed model, rand...<more>

Vol.15 No.1 pp. 95-101 (January 2011)

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data

Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto

Abstract: We propose two approaches for semi-supervised FCM with soft pairwise constraints. One applies NERFCM to the revised dissimilarity matrix by pairwise constraints. The other applies K-FCM with a dissimilarity-based kernel function, revising the dissimilarity matrix based on whether data in the same cluster may be close to each other or the data in the d...<more>