http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
배혜영,김아란별,남수진,윤지아,윤해주,김가영,장다혜,김수현,Bae, Hyeyoung,Kim, Aranbyeol,Nam, Soojin,Youn, Jia,Youn, Haeju,Kim, Gayoung,Jang, Daehyae,Kim, Su Hyun 한국데이터정보과학회 2014 한국데이터정보과학회지 Vol.25 No.1
본 연구의 목적은 우리나라 성인층을 대상으로 연령대별 노화에 대한 기대수준과 건강증진행위 정도를 파악하고, 노화기대가 개인의 건강증진행위에 미치는 영향에 대해 확인하기 위함이다. 연구대상자는 대구 경북지역의 지역사회에 거주하는 만 20~50대 성인 233명으로, 직접 접촉을 통한 설문 조사로 자료를 수집하였으며, 위계적 회귀분석을 이용하여 자료 분석하였다. 연구결과, 대상자의 노화기대 점수는 연령대가 높을수록 낮게 나타나, 노화에 대해 부정적인 생각을 가지고 있는 것으로 나타났다. 대상자의 노화기대 점수는 신체건강 영역에서 가장 낮았고 정신건강 영역에서 가장 높았다. 각 연령대별로 건강증진행위는 유의한 차이가 없었다. 20~30대 대상자에서는 노화기대가 건강증진행위에 유의한 영향을 미치는 것으로 나타났으나, 40~50대 집단에서는 유의한 영향이 없었다. 따라서 노화를 긍정적이며 능동적이고, 자연스러운 자기선택적인 변화로 바라볼 수 있도록 인식의 전환을 유도 할 필요가 있겠으며, 특히 20~30대의 건강증진행위를 증진하기 위한 전략으로서 긍정적인 노화기대를 가지도록 지지할 필요가 있겠다. The purpose of the current study was to identify expectations regarding aging and health-promoting behaviors and to examine whether expectation regarding aging was associated with health-promoting behaviors among community-residing Korean adults. Data were collected from 233 adults dwelling in the community of Daegu and Kyungpook province. The influence of expectations regarding on health-promoting behaviors was analyzed through hierarchical multiple regression controlling for sociodemographic variables. As a result, the mean score of expectations regarding aging was significantly lower in 40s and 50s than 20s and 30s. The participants had the lowest expectations regarding aging in terms of physical health domain and the highest expectations in terms of mental health domain. No significant differences were found in health-promoting behaviors among different age groups. After controlling for sociodemographic variables, expectations regarding aging were independently associated with health-promoting behaviors in adults in 20s~30s but not in those in 40s~50s. The findings suggest the need for encouraging Korean adults to strive for having positive and active perspective on aging and for getting higher expectations regarding aging, in particular, for 20s and 30s, as a health-promoting strategy.
이슬람여성의 신체활동수준과 문화 · 심리적 제한요인이 건강 · 체력요인, 우울지수 및 심박변이도에 미치는 영향
김아란(Kim, Ah-Ran),김동환(Kim, Dong-Hwan),김만성(Kim, Man-Sung),김성대(Kim, Seong-Dae),김명화(Kim, Myoung-Wha),정일규(Jeong, Il-Gyu) 한국사회체육학회 2017 한국사회체육학회지 Vol.0 No.70
The purpose of the study was to investigate the effects of muslim women’s physical activity level and cultural-psychological limiting factors on health · fitness, depression index and heart rate variability. The groups included a Non-Physical activity group(NP), a Middle-Physical activity group(MP), and a High-Physical activity group(HP). Moreover, based on the awareness of the physical activity, the participants were grouped into a Positive Group(P) and Negative Group(N). The physical measurements included body composition, muscular strength, muscular endurance, flexibility and cardiovascular endurance. In terms of by metabolic factors, TC, TG, blood sugar were measured. In addition, SDNN, RMSSD were measured as an index that represents the heart rate variability using a pulse wave analyzer(uBioMacpa)T. he analyses of the data results were as shown as follow. First, No significant difference in health-related variables(blood total cholesterole, triglyceride, blood glucose, blood pressure, etc) was found among three groups divdied according to level of physical activity. Second, the physical factors(muscular strength and muscular endurance) showed significant difference among three groups. Third, there was a significant difference of deperssed index and SDNN among three groups. Lastly, either positive or negative cognition for relationship between physical activity and marriage in islamic women of this study showed a significant effect on SDNN and RMSDD of heart rate variability.
인공지능 기반 유사한 형상을 가진 표적 식별 가능성 확인을 위한 레이더 데이터 분석
김아란(A Ran Kim),김하선(Ha Seon Kim),강창호(Chang Ho Kang),김선영(Sun Young Kim) 제어로봇시스템학회 2022 제어·로봇·시스템학회 논문지 Vol.28 No.4
In this work, we analyzed radar data to check the feasibility of identifying targets with similar shapes based on artificial intelligence. Among radar measurements, radar cross section (RCS) and high-resolution range profile (HRRP) were selected and used as the classification metrics. Before performing artificial intelligence learning, the structural similarity index measure was selected as the performance index and used to verify the feasibility of target classification. We modeled various targets with similar shapes and then obtained radar data using Ansys HFSS. From similar test results, we confirmed that targets with similar shapes could be identified and the possibility of classification in the case of HRRP is higher than that in the case of RCS.