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GOOD LABORATORY PRACTICE -PRINCIPLES AND PRESENT STATUS IN JAPAN
Omori, Yoshihito The Korean Society of Toxicology Korea Environment 1985 Toxicological Research Vol.1 No.1
The Japanese Good Laboratory Practice (GLP) Standard on Drugs was finalized as a guideline and implemented in April, 1983. This standard is intended to ensure the quality and integrity of the data from nonclinical toxicity studies submitted to the Ministry of Health and Welfare in support of applications for approval to manufacture or import new drugs or to be used in the reevaluation of previously approved drugs. The standard includes a guideline for organizational matters, personnel, facility, equipment, testing operation, documentation and conduct of studies. Principles and influences of implementation of Japanese GLP will be discussed briefly in comparison with foreign GLPs.
Feature Extraction from EEG Signals in P300 Spelling System
Kana Omori,Tomonari Yamaguchi,Katsuhiro Inoue 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Recently, there are many studies on brain computer interface (BCI) system and some use EEG response at oddball paradigms. The aim of this paper is to extract feature (i.e. P300 response) from the EEG signals to improve the spelling system. We propose the method to analyze the averaged EEG signal concerned time and spatial. It is confirmed that the processing period with feature extraction is able to be shortened by averaging multi-channels. Effective information is obtained from the EEG signal near of the center part.
An Ultrasonic Shape Recognition Considering Change of Ambient Atmospheric Pressure
Shinya Omori,Takayuki Yamamoto,Kozo Ohtani,Mitsuru Baba 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Recognition methods with an ultrasonic sensor are often utilized in situations where optical sensors cannotbe used or in objects which are hard to be identified by the approach based on the light. Among ultrasonic data, an ultrasound pressure data has the advantage of being able to acquire three-dimensional shape information with high resolution and with comparative ease by use of ultrasonic sensor array. The ultrasound pressure data is vulnerable to the change of the atmosphere pressure. Therefore, this paper proposed an ultrasonic shape recognition approach consideringchange of ambient atmospheric pressure. We designed and built a prototype shape recognition system with ultrasound pressure. From experimental results, it was shown that the proposed approach is effective for shape recognition withultrasound pressure data.