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원인식,박예민,조현정,김형수,서종구,김진용,남동흔,박윤수,서일혜,조용균 대한감염학회 2009 감염과 화학요법 Vol.41 No.4
Syphilis is re-emerging worldwide due to the HIV epidemic. Prior to the introduction of penicillin, syphilis was the second most common primary cause of all cases of uveitis. Today, ocular syphilis is a rare disease, especially in an immunocompetent patient. Variable manifestation without pathognomonic signs of ocular syphilis often lead to delayed diagnosis, resulted in irreversibile loss of vision. In Korea, syphilitic uveitis has not been reported in an immunocompetent patient since 1984. We experienced a case of syphilitic uveitis in an immunocompetent man with visual deterioration. As the incidence of syphilis is increasing in these days, a high degree of clinical suspicion should be considered in patients with unexplained ocular inflammation and visual disturbances.
원인식,남동흔,서일혜,조용균,박윤수,박예민,조현정,김형수,서종구,김진용 대한감염학회 2009 Infection and Chemotherapy Vol.41 No.4
Syphilis is re-emerging worldwide due to the HIV epidemic. Prior to the introduction of penicillin, syphilis was the second most common primary cause of all cases of uveitis. Today, ocular syphilis is a rare disease, especially in an immunocompetent patient. Variable manifestation without pathognomonic signs of ocular syphilis often lead to delayed diagnosis, resulted in irreversibile loss of vision. In Korea, syphilitic uveitis has not been reported in an immunocompetent patient since 1984. We experienced a case of syphilitic uveitis in an immunocompetent man with visual deterioration. As the incidence of syphilis is increasing in these days, a high degree of clinical suspicion should be considered in patients with unexplained ocular inflammation and visual disturbances.
Intelligent robotic walker with actively controlled human interaction
원인식,이순걸 한국전자통신연구원 2018 ETRI Journal Vol.40 No.4
In this study, we developed a robotic walker that actively controls its speed and direction of movement according to the user's gait intention. Sensor fusion between a low‐cost light detection and ranging (LiDAR) sensor and inertia measurement units (IMUs) helps determine the user's gait intention. The LiDAR determines the walking direction by detecting both knees, and the IMUs attached on each foot obtain the angular rate of the gait. The user's gait intention is given as the directional angle and the speed of movement. The two motors in the robotic walker are controlled with these two variables, which represent the user's gait intention. The estimated direction angle is verified by comparison with a Kinect sensor that detects the centroid trajectory of both the user's feet. We validated the robotic walker with an experiment by controlling it using the estimated gait intention.
원인식,이순걸 제어·로봇·시스템학회 2019 제어·로봇·시스템학회 논문지 Vol.25 No.2
Unmanned driving of an autonomous vehicle requires high reliability and excellent recognition performance of the road environment and driving situation. Since a single sensor cannot recognize various driving conditions precisely, a recognition system using only a single sensor is not suitable for autonomous driving due to the uncertainty of recognition. In this study, we have developed an autonomous vehicle using sensor fusion with radar, LIDAR and vision data that are coordinate-corrected by GPS and IMU. Deep learning and sensor fusion improves the recognition rate of stationary objects in the driving environment such as lanes, signs, and crosswalks, and accurately recognizes dynamic objects such as vehicles and pedestrians. Using a real road test, the unmanned autonomous driving technology developed in this research was verified to meet the reliability and stability requirements of the NHTSA level 3 autonomous standard.