JACIII Editor’s Choice 2010 (Vol.14)

Vol.14 No.7 pp. 813-824 (November 2010)

Robot Group Adaptation Gestures Based on Utterance Content and Social Position

Daisuke Katagami, Ken Ogawa, and Katsumi Nitta

Abstract: We suggest adaptive gestures for robots adapting to groups based on utterance situations and social position and study the differences in type and number of teaching gestures based on the difference in groups in equivalence utterance. Gesture data is collected in which group members are directly taught to a robot through utterance situations and social posit...<more>

Vol.14 No.6 pp. 624-630 (September 2010)

Applying Naive Bayes Classifier to Document Clustering

Jie Ji and Qiangfu Zhao

Abstract: Document clustering partitions sets of unlabeled documents so that documents in clusters share common concepts. A Naive Bayes Classifier (BC) is a simple probabilistic classifier based on applying Bayes’ theorem with strong (naive) independence assumptions. BC requires a small amount of training data to estimate parameters required for classification. ...<more>

Vol.14 No.5 pp. 512-522 (July 2010)

Integrating Process and Work Breakdown Structure with Design Structure Matrix

Jonathan Lee, Whan-Yo Deng, Wen-Tin Lee, Shin-Jie Lee, Kuo-Hsun Hsu, and Shang-Pin Ma

Abstract: In software development, project plans document scope, cost, effort, and schedule, guide project managers, and control project execution. Developing a project plan without incorporating how an organization doing things - i.e., organizational culture - may lead to project failure. To ensure stable process performance and to benefit from organizational culture...<more>

Vol.14 No.4 pp. 402-407 (May 2010)

Learning Similarity Matrix from Constraints of Relational Neighbors

Masayuki Okabe and Seiji Yamada

Abstract: This paper describes a method of learning similarity matrix from pairwise constraints assumed used under the situation such as interactive clustering, where we can expect little user feedback. With the small number of pairwise constraints used, our method attempts to use additional constraints induced by the affinity relationship between constrained data and...<more>

Vol.14 No.2 pp. 122-127 (March 2010)

Fuzzy Visual Hull Algorithm for Three-Dimensional Shape Reconstruction of TKA Implants from X-Ray Cone-Beam Images

Syoji Kobashi, Nao Shibanuma, and Yutaka Hata

Abstract: Three-Dimensional (3-D) shape reconstruction of total knee arthroplasty (TKA) implants in vivo plays a key role to investigate implanted knee kinematics. TKA implants typically consist of metal femoral and tibial components and a polyethylene tibial insert. X-ray computed tomography (CT) causes severe metal artifacts, making the 3-D shape in reconstru...<more>