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( Motoyasu Kato ),( Yuta Arai ),( Hiroaki Motomura ),( Issei Sumiyoshi ),( Yusuke Ochi ),( Junko Watanabe ),( Hiroaki Ihara ),( Shinsaku Togo ),( Shinichi Sasaki ),( Kazuhisa Takahashi ) 대한결핵 및 호흡기학회 2019 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.127 No.-
Background: Acute exacerbation of chronic fibrotic idiopathic interstitial pneumonia (AE-IIP) is associated with a high mortality rate. In 2016, the International Working Group classified the etiology of AE-IIP into idiopathic and triggered. Several factors can trigger AE-IIP; however, the triggers associated with the worst prognosis have not been identified. The aim of this study was to investigate the prognosis of patients with various types of AE-IIP, particularly infection-triggered, non-infection-triggered, and idiopathic AE-IIPs. Methods: We retrospectively collected data for 128 patients with chronic fibrotic IIP (CF-IIP) who were hospitalized because of respiratory failure during the period between April 2009 and March 2019 at Juntendo University Hospital. There were 79 patients who developed AE-IIP, and 21 patients who developed bacterial pneumonia combined with CF-IIP. AE-IIP was classified into idiopathic, infection-triggered, and non-infection-triggered. We analyzed differences in patient characteristics, examination findings, and prognosis among the types. Finally, we evaluated risk factors for early death due to AE-IIPs. Results: Idiopathic, infection-triggered, and non-infection-triggered AE-IIPs were diagnosed in 34, 25, and 20 patients, respectively. The survival time was significantly longer for bacterial pneumonia combined with IIP than for AE-IIP. Moreover, the survival time was significantly longer for infection-triggered AE-IIP than for idiopathic or non-infection-triggered AE-IIP. The mortality rate was significantly lower with infection-triggered AEIIP than with other types of AE-IIP. Finally, a multivariate analysis revealed that radiological findings at the time of onset of AE-IIPs and AE-IIP patterns were independent risk factors for early death. Conclusion: Our results suggest that patients with infection-triggered AE-IIP may have a better prognosis than those with other types of AE-IIP.
Experimental Flight of KIT Student’s Rocket in France
Koji Okuda,Yuji Ujimoto,Yuta Otsuka,Takaya Sato,Takuya Shidooka,Daijiro Semba,Kenichi Tominaga,Junichi Fukuda,Yuta Yamamoto,Kazuki Wada,Shinichi Sagara,Koichi Yonemoto 한국항공우주학회 2008 한국항공우주학회 학술발표회 논문집 Vol.- No.-
KIT Student's Rocket has been developed by a student group of Kyushu Institute of Technology lor rocket launch campaign held at La Courtine in France since 2006. This paper introduces the newest design of rocket. The rocket has the body length of 2120㎜, and weighs 14.6㎏ and can reach to an altitude of about 700㎜ by a solid rocket motor provided by CNES (the French Centre National D’Etudes Spatiales). The rocket is controlling rolling attitude during ascent phase and then deploying a parafoil at the apogee of the trajectory for recovery guidance to an aiming point.
Eui-Jung Jung,Jae Hoon Lee,Byung-Ju Yi,Jooyoung Park,Yuta, Shinichi,Si-Tae Noh IEEE 2014 IEEE/ASME transactions on mechatronics Vol.19 No.6
<P>This paper presents a human detection algorithm and an obstacle avoidance algorithm for a marathoner service robot (MSR) that provides a service to a marathoner while training. To be used as a MSR, the mobile robot should have the abilities to follow a running human and avoid dynamically moving obstacles in an unstructured outdoor environment. To detect a human by a laser range finder (LRF), we defined features of the human body in LRF data and employed a support vector data description method. In order to avoid moving obstacles while tracking a running person, we defined a weighted radius for each obstacle using the relative velocity between the robot and an obstacle. For smoothly bypassing obstacles without collision, a dynamic obstacle avoidance algorithm for the MSR is implemented, which directly employed a real-time position vector between the robot and the shortest path around the obstacle. We verified the feasibility of these proposed algorithms through experimentation in different outdoor environments.</P>
Collision-Avoidance Algorithm for Human-Symbiotic Robot
Yuji Hosoda,Kenjirou Yamamoto,Ryouko Ichinose,Saku Egawa,Junichi Tamamoto,Kouji Tsubouchi,Shinichi Yuta 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
A real-time collision-avoidance algorithm for human-symbiotic robots that are required to avoid multiple pedestrians was developed. An algorithm to predict the likelihood of a collision with obstacles was based on the relative velocities between a moving robot and multiple obstacles. An algorithm that can generate the optimum path sequence to a goal in real time was also developed. The collision-avoidance path is generated by repeating an operation to select two tangent paths that connect a via-point on a path to a collision circle of each obstacle that exists in the relative space. A robot-called EMIEW”-using these algorithms with a system for avoiding collisions with many obstacles moves at a speed of 0.8 m/s in a cluster of five people walking at 1.2 m/s. The repeat period for generating a new avoidance path is 0.5s, and the processing time for the developed algorithm in the each period is a maximum of 4 ms.