Due to the aging of a building, 38.8% (about 2.82 million buildings) of the total buildings are old for more than 30 years after completion and are located in a blind spot for an inspection, except for buildings subject to regular legal inspection (about 3%). Such existing buildings require users to self-inspect themselves and make efforts to take preemptive risks. The scope of this study was defined as the general public's visual self-inspection of buildings and was limited to structural members that affect the structural stability of old buildings. This study categorized possible damage to reinforced concrete to check the structural safety of buildings and proposed a checklist to prevent the damage. A damage assessment methodology was presented during the inspection, and a self-inspection scenario was tested through a chatbot connection. It is believed that it can increase the accessibility and convenience of non-experts and induce equalized results when performing inspections, according to the chatbot guide.

In general, the design response spectrum in seismic design codes is based on the mean-plus-one-standard deviation response spectrum to secure high safety. In this study, response spectrum analysis was performed using seismic wave records adopted in domestic horizontal design spectrum development studies, while three response spectra were calculated by combining the mean and standard deviation of the spectra. Seismic wave spectral matching generated seismic wave sets matching each response spectrum. Then, seismic fragility was performed by setting three damage levels using a single-degree-of-freedom system. A correlation analysis was performed using a comparative analysis of the change in the response spectrum and the seismic fragility concerning the three response spectra. Finally, in the case of the response spectrum considering the mean and standard deviation, like the design response spectrum, the earthquake load was relatively high, indicating that conservative design or high safety can be secured.

본 연구의 목적은 스포츠분야 ‘플로깅’에 관한 주요 키워드와 사회현상을 분석하고 중요 정보를 도출하는 것이다. 이러한 목적을 달성하기 위해 한국언론진흥재단에서 제공하는 뉴스분석시스템 빅카인즈 (BIG Kinds)를 활용하여 분석하였다. 분석기간은 2018년부터 2022년이며, 수집된 뉴스 5,148건 중 스포츠 분야에 해당하는 42건을 최종적으로 사용하여 분석하였다. 분석방법은 빈도분석, 관계도분석, 연관어분석 을 실시하였으며 결과는 다음과 같다. 첫째, 스포츠분야 ‘플로깅' 관련 빈도 분석 결과, ‘제주’, ‘선수들’, ‘구 국제마라톤대회’, ‘SSG’, ‘이봉주 선수’ 등의 키워드를 확인할 수 있었다. 둘째, 스포츠분야 ‘플로깅' 관련 관 계도분석 결과, ‘코로나19’, ‘국가대표’, ‘엘리트’, ‘마스터즈’, ‘코로나’ 등의 키워드를 확인할 수 있었다. 셋 째, 스포츠분야 ‘플로깅' 관련 연관어분석 결과, ‘합성어’, ‘봉사활동’, ‘마스터즈 비대면’, ‘제주’, ‘선수들’ 등 의 키워드를 확인할 수 있었다. 국내 프로스포츠 분야의 플로깅은 국제 스포츠기구의 탄소중립실천을 위한 환경 활동 참여와 프로구단의 홍보를 목적으로 적극 활용하는 것으로 나타났다.

Recently, many countries are performing researchs about weapon systems or communication systems using laser. Because laser weapons are relatively easy to use and can exert powerful energy with high efficiency versus cost. Also laser communication systems has many advantages compared to RF communication systems, such as big data transmission through giga-bit communication, high security and so on. In these systems, one of highly important key components is Fast Steering Mirror(FSM) to control the laser beam precisely and accurately. Therefore, in this paper, we perform static and dynamic analysis to predict performances of Fast Steering Mirror using voice coil actuators. Also we manufacture prototype of FSM on the basis of static and dynamic analysis results, and perform the performance test about four items. As a result, we lay a foundation for research about FSM and laser systems, and expact to contribute improvement of performances of systems using laser.