巻号一覧
29 巻 (1992)
- 6 号 p. 502-
- 5 号 p. 474-
- 4 号 p. 384-
- 3 号 p. 288-
- 2 号 p. 93-
- 1 号 p. 2-
前身誌
29 巻, 5 号
選択された号の論文の4件中1～4を表示しています
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安居院 猛, 井手 賢一1992 年 29 巻 5 号 p. 474-479
発行日: 1992/09/30
公開日: 2010/09/27
ジャーナル フリーIn fields of commercial designs or simulations of scenes, it is often required to move or remove some indicated objects from pictures. Usually, a layout scanner is used for these operations, in which the operations are executed manually, so it takes much time. To decrease such operations, automatic extraction and paint system is useful. In the present paper, we propose a simple method for automatic extraction of linear objects, and show the experimental results applied to several pictures.抄録全体を表示PDF形式でダウンロード (1496K) -
田中 恒雄, 菊 裕, 吉村 三郎, 門屋 卓1992 年 29 巻 5 号 p. 480-487
発行日: 1992/09/30
公開日: 2010/09/27
ジャーナル フリーThe relationship between acoustic attenuation and liquid penetration into the cellulose nitrate filter was studied as a model system for liquid penetration into paper. Attenuation of ultrasonic wave of 2MHz was measured by means of ultrasonic receiver in process of the liquid penetration. The acoustic attenuation by the membrane with submicrometer pores showed an anomalous behaviour at the initial stage of the penetration for both water and oil. A simplified model for liquid penetration behaviour was applied to give interpretation of the characteristic time dependence of the attenuation level.抄録全体を表示PDF形式でダウンロード (1036K) -
鈴木 愼一, 安居院 猛, 長尾 智晴1992 年 29 巻 5 号 p. 488-496
発行日: 1992/09/30
公開日: 2010/09/27
ジャーナル フリーPrinted matters available on the market are usually warranted by inspection through the human eyes. However, it has demanded to develop an automatic inspection system for labour-savings and standardization of inspection level, because a stable and constant sensuous inspection in a long time cannot be expected. Careless mistakes caused by the inspectors are also unavoidable. The purpose of this study is to develop an automatic inspection system by a neural network for the assurance of printed quality, instead of the human judgement. The neural network system used here is a feed forward and back propagation type. It was proved from the results that the inspection level obtained by the neural network system can approach to that of the human eyes, if the neural network structure concerning a value of the learning parameters and the number of the hidden units are selected appropriately.抄録全体を表示PDF形式でダウンロード (3756K) -
石野 康廣1992 年 29 巻 5 号 p. 497
発行日: 1992/09/30
公開日: 2010/09/27
ジャーナル フリーPDF形式でダウンロード (144K)
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