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Ester-type photosensitive polyimide precursor with low thermal expansion coefficient (1992)

Matsuoka, Y. ; Yokota, K. ; Ogitani, S. ; [et al.]

Stamford, Conn. [u.a.] : Wiley-Blackwell

Polymer Engineering and Science 32 (1992), S. 1618-1622

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ISSN: 0032-3888

Keywords: Chemistry ; Chemical Engineering

Source: Wiley InterScience Backfile Collection 1832-2000

Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics

Notes: For an ester-type photosensitive polyimide precursor of low thermal expansion coefficient, the oxygen concentration in the curing process and the molecular weight of the polyimide precursor were found to control the properties of the polyimide. The effects of these factors on the thermal expansion coefficient, tensile strength, and modulus of polyimide film were investigated. Based on these results, a photosensitive polyimide with low thermal expansion coefficient, called the PIMEL TL-series, was developed. Crack and delamination free multilayers were successfully achieved using this newly developed product.

Additional Material: 9 Ill.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1002/pen.760322114

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Realization of artificial intelligence for integrative electroencephalogram interpretation (1998)

Nakamura, M. ; Sugi, T. ; Ikeda, A. ; [et al.]

Springer

Artificial life and robotics 2 (1998), S. 91-95

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ISSN: 1614-7456

Keywords: Automatic EEG interpretation ; Awake EEG ; Realization of artifical intelligence ; Neural network

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: Abstract A fully automatic interpretation of an awake electroencephalogram (EEG) has been developed. Automatic integrative EEG interpretation consists of four main parts: quantitative EEG interpretation, EEG report making, preprocessing of EEG data, and adaptable EEG interpretation. Automatic integrative EEG interpretation reveals essentially the same findings as those of an electroencephalographer (EEGer), and is therefore applicable in clinical situations as an additional tool for the EEGer. The method has been developed through collaboration between the engineering field (Saga University) and the medical field (Kyoto University). This work can be understood as a realization of artificial intelligence. The procedure for this realization of artificial intelligence will also be applicable in other fields of systems control.