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Recent progress in Large Helical Device experiments
Akio Komori,T. Shimozuma,T. Ido,T. Kobuchi,T. Seki,T. Ozaki,T. Fujita,T. Watari,T. Akiyama,T. Tokuzawa,T. Uda,T. Minami,Y. Nakamura,Y. Torii,Y. Sakamoto,Y. Takeiri,Y. Nagayama,Y. Oka,Y. Narushima,Y. Y 한국물리학회 2006 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.49 No.III
In the Large Helical Device (LHD), some reactor-oriented experiments, i.e. high beta, high ion temperature, steady state operation, have produced remarkable progress in recent experimental campaigns. By optimizing the rotational transform, an average beta value of 4.3 %, which is the highest on record for helical devices, was achieved. The ICRF sustained steady-state discharges for more than 30 minutes, these were also successfully performed with the aid of the magnetic axis swing technique for the reduction of the heat load to the plasma-facing component. In the discharge, the total input energy to the plasma reached 1.3 GJ, which also established a new record.1
REAL TIME AUTOMATIC EEG REPORT MAKING BASED ON QUANTITATIVE INTERPRETATION OF AWAKE EEG
Masatoshi Nakamura,Hiroshi Shibasaki,Kaoru Imajoh,Akio Ikeda,Isao Mitsuyasu 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
A new method for making automatic electroencephalogram (EEG) report based on the automatic quantitative interpretation of awake EEG was developed. We first analysed a relationship between EEG reports and quantitative EEG interpretation done by a qualified electroencephalographer (EEGer) for 22 subjects. Based on the analysed relationship and usual process of report making by the EEGer, we defined all terminology necessary for EEG report and established rules for EEG report making. By the combined use of the proposed EEG report making and the method for automatic quantitative EEG interpretation presented at '90 KACC, we were able to make the automatic EEG reports which were equivalent to the EEG reports written by the EEGer. As all the procedures were programmed in a personal computer equipped with an AD (analogue-to-digital) converter, the automatic EEG reports were obtained in almost real time in usual actual EEG recording situation with only a few seconds time lag for the analysis in the computer. The proposed report making method and the quantitative EEG interpretation method will be effectively applicable to the clinical use as an assistant tool for physicians.