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산불 진압을 위한 딥러닝 기반 소화탄 투하지점 자동 추천 시스템 가능성 연구
신성균(Sung Gyun Shin),김주연(Joo Yeon Kim),장승수(Seungsoo Jang),이민재(Min-Jae Lee),한상수(Sangsoo Han),최찬호(Chan-Ho Choi),김성겸(Sungkyum Kim),조우성(Woo-Sung Cho),이장희(Janghee Lee),김송현(Song Hyun Kim) 한국정보기술학회 2021 한국정보기술학회논문지 Vol.19 No.3
For suppression of wildfire, unmanned aerial vehicles (UAVs) have paid attention. Individual UAV for the fire suppression is generally controlled by human; however, it is difficult to utilize it for the environment including loss of communications as well as requiring large human resources for controlling multiple UAVs. This study aims at developing an automatic estimation system of release point for overcoming the operation problems of UAV in wildfire. For the automatic detection and localization of wildfire, semantic segmentation, which is one of the deep learning techniques, is used; the recommendation algorithm of the release point is proposed using the locailization information. After conducting the machine learning, the accuracy on the proposed release point was estimated over 90%, which agrees well with the location proposal of human. It is expected that the algorithm proposed in this study can be utilized for developing fully-automatic system of fire suppression with UAV.
음향진동 헬스케어 기구의 가진력 향상을 위한 자기장 생성에 관한 연구
심다솔(Da-Sol Shim),전종균(Chong-Keun Chun),최재영(Jae-Yeong Choe),장승원(Sung-Won Jang),한현희(Hyen-Hee Han) (사)한국CDE학회 2022 한국CDE학회 논문집 Vol.27 No.2
Development in medical technology has played a crucial role in increasing disease survival rate and life expectancy. And the development of medical devices has led to the development of portable medical devices that can be conveniently used in homes to accommodate modern people’s busy lives. Infrared therapy devices, portable physical therapy devices, and electric massage machines are now commonly used in homes. An acoustic vibration health care device is now one such device. The device was developed based on research that showed when micro acoustic and vibration signals were applied to the damaged body parts, the resulting microscopic stimulation healed wounded cells, shortened the recovery time, and promoted cell division. We conducted this study to understand acoustic vibration health care device’s electromagnetic field characteristics and improve their performance. Using the ANSYS Workbench, we analyzed the magnetic flux density of the device’s permanent magnets. To increase the device’s vibration force, we stacked the magnets of equal size and identical material properties, ran a simulation, and compared the results. We aim to use the data collected from analyzing the magnetic field characteristics and the permanent magnets’ characteristics to improve the designs of acoustic vibration health care devices.
산불의 효과적 진압을 위한 인공지능 및 영상기반 드론 임무제어 시스템
이민재(Min-Jae Lee),신상균(Sung-Gyun Shin),김주연(Joo-Yeon Kim),장승수(Seungsoo Jang),한상수(Sangsoo Han),최찬호(Chan-Ho Choi),조우성(Woo-Sung Cho),이장희(Janghee Lee),김송현(Song-Hyun Kim) 한국정보기술학회 2022 한국정보기술학회논문지 Vol.20 No.1
Suppression of forest fire with beyond visual line of sight drone operation is difficult because of factors including forest topography, obstacles and others. Since air support and human access at night are difficult for safety reason, drone has paid attention. This study proposes the drone control system which nonprofessional humans also use the drone for forest fire suppression. This system continuously tracks the fire origin selected by operator with deep-learning technique and guides drone to fire origin with collision avoidance. Additionally, this guidance technique apply to vision-based precision landing for minimizing the memory consumption of mission computer. it is expected that this system can be utilized for suppression of forest fire and non professional people also easily use in the future.