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Comparison of anatomic and non-anatomic hepatic resection for hepatocellular carcinoma
Kaibori, Masaki,Kon, Masanori,Kitawaki, Tomoki,Kawaura, Takayuki,Hasegawa, Kiyoshi,Kokudo, Norihiro,Ariizumi, Shunichi,Beppu, Toru,Ishizu, Hiroyuki,Kubo, Shoji,Kamiyama, Toshiya,Takamura, Hiroyuki,Kob Wiley (John WileySons) 2017 Journal of hepato-biliary-pancreatic sciences Vol.24 No.11
<P>ConclusionsAnatomic resection decreases the risk of tumor recurrence and improves OS in patients with a primary, solitary HCC of <5.0cm in diameter.</P>
Comparison of anatomic and non-anatomic hepatic resection for hepatocellular carcinoma
Masaki Kaibori,Masanori Kon,Tomoki Kitawaki,Takayuki Kawaura,Kiyoshi Hasegawa,Noriyuki Kokudo,Shunichi Ariizumi,Toru Beppu,Hiroyuki Ishizu,Shoji Kubo,Toshiya Kamiyama,Hiroyuki Takamura,Tsuyoshi Kobaya 한국간담췌외과학회 2017 한국간담췌외과학회 학술대회지 Vol.2017 No.3
Development of PSO-based PID Tuning Method
Akihiro Oi,Chikashi Nakazawa,Tetsuro Matsui,Hiroe Fujiwara,Kouji Matsumoto,Hideyuki Nishida,Jun Ando,Masato Kawaura 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper proposes a new PID parameter tuning method using Particle Swarm Optimization (PSO) without tuning operator’ know-how. The method searches the PID parameter that realizes the expected step response of the plant. The expected response is defined by the overshoot ratio, the rising time, the settling time. The method is implemented into the PID tuning tool on a personal computer. The plant model represented by the transfer function is obtained by system identification on the PID tuning tool. The PID parameter is computed by PSO-based PID tuning method according to the obtained model. The numerical result and the experiment result show the effectiveness of the proposed tuning method and the developed tool.