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Remarks on Four-Dimensional Probabilistic Finite Automata
Makoto Sakamoto,Yasuo Uchida,Makoto Nagatomo,Tuo Zhang,Hikaru Susaki,Takao Ito,Tsunehiro Yoshinaga,Satoshi Ikeda,Masahiro Yokomichi,Hiroshi Furutani 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.4
This paper deals with the study of four-dimensional automata. Recently, due to the advances in many application areas such as dynamic image processing, computer animation, augmented reality (AR), and so on, it is useful for analyzing computation of four-dimensional information processing (three-dimensional pattern processing with time axis) to explicate the properties of four-dimensional automata. From this point of view, we have investigated many properties of four-dimensional automata and computational complexity. On the other hand, the class of sets accepted by probabilistic machines have been studied extensively. As far as we know, however, there is no results concerned with four-dimensional probabilistic machines. In this paper, we introduce four-dimensional probabilistic finite automata, and investigate some accepting powers of them.
Remarks on Four-Dimensional Probabilistic Finite Automata
Makoto Sakamoto,Yasuo Uchida,Makoto Nagatomo,Tuo Zhang,Hikaru Susaki,Takao Ito,Tsunehiro Yoshinaga,Satoshi Ikeda,Masahiro Yokomichi,Hiroshi Furutani 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.6
This paper deals with the study of four-dimensional automata. Recently, due to the advances in many application areas such as dynamic image processing, computer animation, augmented reality (AR), and so on, it is useful for analyzing computation of four-dimensional information processing (three-dimensional pattern processing with time axis) to explicate the properties of four-dimensional automata. From this point of view, we have investigated many properties of four-dimensional automata and computational complexity. On the other hand, the class of sets accepted by probabilistic machines have been studied extensively. As far as we know, however, there is no results concerned with four-dimensional probabilistic machines. In this paper, we introduce four-dimensional probabilistic finite automata, and investigate some accepting powers of them.
Tetsuya Tatsuta,Hiroki Sato,Yusuke Fujiyoshi,Hirofumi Abe,Akio Shiwaku,Junya Shiota,Chiaki Sato,Masaki Ominami,Yoshitaka Hata,Hisashi Fukuda,Ryo Ogawa,Jun Nakamura,Yuichiro Ikebuchi,Hiroshi Yokomichi 대한소화기 기능성질환∙운동학회 2022 Journal of Neurogastroenterology and Motility (JNM Vol.28 No.4
Background/Aims ManoScan and Sandhill high-resolution manometry (HRM) systems are used worldwide; however, the diagnosis of achalasia on the Starlet HRM system is not fully characterized. Furthermore, the impact of calcium channel blockers and nitrites in treating achalasia has not been investigated using HRM. Management of recurrent cases is a priority issue, although few studies have examined patient characteristics. Methods We conducted a multicenter, large-scale database analysis. First, the diagnosis of treatment-naive achalasia in each HRM system was investigated. Next, patient characteristics were compared between type I-III achalasia, and the impact of patient characteristics, including calcium channel blocker and nitrite use for integrated relaxation pressure (IRP) values, were analyzed. Finally, patient characteristics with recurrent achalasia were elucidated. Results The frequency of type I achalasia with Starlet was significantly higher than that with ManoScan and Sandhill HRM systems. In achalasia, multivariate analysis identified male sex, advanced age, long disease duration, obesity, type I achalasia, and sigmoid type as risk factors related to normal IRP values (< 26 mmHg). Calcium channel blockers and nitrites use had no significant impact on the IRP values, although achalasia symptoms were indicated to be alleviated. In recurrent cases, the IRP value was significantly lower, and advanced age, long disease duration, and sigmoid type were more common than in treatment-naive patients. Conclusions We should cautiously interpret the type of achalasia and IRP values in the Starlet HRM system. Symptoms of recurrent cases are related to disease progression rather than IRP values, which should be considered in decision making.