著者
山川 烈 内野 英治 平川 克己 松山 敏剛 渡辺 寿美子 野上 ナヲエ
出版者
バイオメディカル・ファジィ・システム学会
雑誌
Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association
巻号頁・発行日
vol.1, no.1, pp.71-79, 1995-07-07
被引用文献数
1

ハフ変換はノイズに埋もれた画像から直線を検出する有効な手法である.しかし, 従来のハフ変換ではノイズが多くなると直線を検出するのが困難になる.本論文では, ノイズの多い画像中の, いわゆるぼやけた直線や, 有界な線分(始点と終点)をも検出できる組合せファジィハフ変換を提案する.さらに, この手法を拡張しノイズに埋もれた円の検出も可能にした.本手法の有効性は細胞診に用いる顕微鏡画像への適用により確認された.
著者
TSUDA Ei YAMASHITA Hajime NAGASHIMA Kenichi
出版者
バイオメディカル・ファジィ・システム学会
雑誌
Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association
巻号頁・発行日
vol.16, no.1, pp.57-62, 2011-04

Inexact information such as human behavior and cognition could be properly analyzed and clarified by applying fuzzy theory. In this paper, the authors present an analysis method of the opinion survey by applying fuzzy graph and also illustrate its practical effectiveness with the case study concerning the sport preference of college students.
著者
Baldwin J.F. Martin T.P. Rossiter J.M.
出版者
バイオメディカル・ファジィ・システム学会
雑誌
Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association
巻号頁・発行日
vol.5, no.1, pp.73-78, 1999-09

We present a new method for modelling ordered datasets using Baldwin's mass assignment. This method generates a simplified memory-based fuzzy belief updating model. The predicted class fuzzy set naturally describes the current state of belief and the previous class fuzzy set defines how previous beliefs colour future beliefs. The model is implementaed using Fril evidential logic rules. Results are given in application to particle classification and facial feature detection. The models generated using this method are concise linguistically clear glass box models.
著者
IDOWU ADEBAYO OLAJUBU EMMANUEL ADEROUNMU ADESOLA ADAGUNODO ROTIMI
出版者
バイオメディカル・ファジィ・システム学会
雑誌
Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association
巻号頁・発行日
vol.12, no.1, pp.23-27, 2007-03
被引用文献数
1

The wireless networking data processing at the Obafemi Awolowo University Teaching Hospital Complex (OA UTHC) is hereby presented for Hospital information management. It makes use of Client-Server architecture. Base station serves as the server while the mobile station serves as the clients. The access point into the network is through the Base station. The clients (mobile stations) are linked to the server through Radio Waves. As Medical Personnel move from ward to ward i.e. from one cell coverage to another, the drop in signal is not due to momentary fading but as the terminal is moving away from the base station. Frequency Hoping spread spectrum is employed for spread spectrum modulation. The Channel access method employed is Fixed Assignment Access Method and the channel management employed is Code Division Multiple Access to allow multi-user operation. The data in the network is secured through encryptions and cryptography.