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      • 지진 해일

        김진원,Kim, Jin-Won 한국기술사회 2005 技術士 Vol.38 No.1

        Earth quake Tsunamis should be occured between Japan and Korea. There exist long distance fault gone in the sea. So that we can not ignoring tsunami dangerous activity, along the east sea shore line need investment preventing the worst effect roughly 10m Tsunami wave reduce the scale of the disaster.

      • KCI등재

        자동화 장비를 이용한 대형 상수관로 갱생을 위한 코팅재료 선정 및 방법에 관한 연구

        김진원,김동현,이영건,이세완,김두일 대한상하수도학회 2016 상하수도학회지 Vol.30 No.6

        There is a growing concern on the improvement of water distribution pipeline for multi-regional water supply system in Korea along with its aging infrastructure. Rehabilitation of large diameter pipeline is more efficient in cost and time compared to replacement with trenching. The procedure for rehabilitation are diagnosis, cleaning, spraying coating material, and final inspection. The internal state of pipeline was carefully diagnosed and got C grade, which required rehabilitation. We found that 17,274,787,000 Korean won could be saved after pipe surface coating because of increased C coefficient of Hazen-Williams equation. Optimal coating material was D polyurea. We also found optimal distance between spraying nozzle and pipe wall to be 70 - 80 cm, which were critical factors for coating quality. This study also illustrated the time for spray drying to be more than 30 min. These results could be used in the quality control process during rehabilitation of aged pipelines.

      • KCI등재

        AI 기반 맞춤형 논문 추천 시스템 개발 및 적용 사례 연구: K 대학을 중심으로

        김진원,김태윤,윤병연 한국교육정보미디어학회 2023 교육정보미디어연구 Vol.29 No.3

        대학원생이 최신 연구 동향을 파악하고 본인의 연구 주제를 확립하는 것은 연구역량 강화에 있어서 중요하다. 본 연구는 대학원생의 연구역량 강화를 위해 AI 기반 맞춤형 논문 추천 시스템을 개발하고 이를 대학 현장에 적용하고자 하였다. 본 맞춤형 논문 추천 시스템은 콘텐츠 기반 필터링 알고리즘과 학문용어사전을 활용하여 대학원생의 관심 연구 키워드와 유사한 최신 논문을 추천한다. 본 연구는 TF-IDF(Term Frequency-Inverse Document Frequency) 알고리즘을 활용하여 교내 데이터베이스에 축적된 학생 관련 데이터로부터 학생의 관심 연구 키워드를 추출하였다. 맞춤형 논문 추천 시스템은 2021년 7월 파일럿 테스트를 시작으로 이메일 시스템을 통해 월 1회 대학원생에게 10개의 추천 논문을 제공하고 있다. 논문 추천 시스템의 개선을 목적으로 실시된 서비스 만족도 설문조사 결과, 학생들은 전반적으로 맞춤형 추천 서비스 이용 및 결과에 만족하는 것으로 나타났다. 또한, 논문 추천 결과와 추천 시스템에서 추출된 학생의 관심 연구 키워드에 대한 Precision@K는 각각 50.2%, 52.2%로 준수한 모델 성능을 보이는 것으로 나타났다. 본 연구는 맞춤형 논문 추천 시스템 개발을 위해 교육 및 연구 데이터를 통합하여 분석하였다는 점에서 의의가 있다. 또한, 많은 고등교육기관이 대학원생을 위한 AI 기반 맞춤형 교육 서비스를 개발하고 적용하고자 할 때 본 연구가 기본적인 지침의 역할을 하기를 기대한다. Graduate students need to identify the latest research trends and establish their own research topics to enhance their research competency. This study aimed to develop an AI-based personalized research-paper recommendation system to promote graduate students’ research competency and implement it in higher education. The recommendation system leveraged content-based filtering algorithms and an academic term dictionary to recommend recent research papers that are similar to graduate students’ research keywords of interest. We extracted their core keywords from student-related data stored in the university’s database utilizing TF-IDF(Term Frequency-Inverse Document Frequency) algorithms. Starting with a pilot test in July 2021, we provided graduate students with ten recommended papers every month via the university’s email service. As a result of the satisfaction survey on service use conducted to improve the recommendation system, students were generally satisfied with the use and recommendation results of the system. In addition, we found that Precision@K for the recommendation results and extracted keywords showed 50.2% and 52.2%, respectively. This study is significant because we performed integrated analyses of education and research data to develop a personalized research-paper recommendation system. Moreover, it can be a basic guide for other higher education institutions to create and apply AI-based personalized educational services for graduate students.

      • KCI등재후보

        관해된 조현병 외래환자의 주 보호자의 부담요인

        김진원,김철권 대한조현병학회 2017 대한조현병학회지 Vol.20 No.2

        Objectives : The purpose of this study is to investigate the variables besides symptom that influence the family burden in the primary caregivers of remitted schizophrenic outpatients, and to evaluate the impact of changeable or unchangeable variables by clinical practice on the family burden. Methods : A total 105 remitted schizophrenic outpatients and 105 their primary caregivers were participated in the psychiatric outpatient clinic of the university hospital. Socio-demographic characteristics (age, sex, education, income, marital status, religion), clinical variables (duration of illness, age of onset), patients’ symptom (korean version of the positive and negative syndrome scale), patients’ social function (korean version of the social functioning scale), patients’ insight (self-appraisal of illness questionnaire), patients’ attitude toward medication (drug attitude inventory), family perceived social support (multidimensional scale of perceived social support), family attitude toward patient (family attitude scale) were gathered from subjects. Results : Total score of family burden scale (0-144) of the primary caregivers of remitted schizophrenic outpatients was 71.3 (SD 20.7) and mean score per item was 1.9. Unchangeable six variables by clinical practice (relation with patient, patients’ education, age of onset, duration of illness, parent age, parent income) explain 17%, and changeable four variables (family attitude toward patient, family perceived social support, patients’ social function, patients’ insight) explain 72% of family burden. Four areas such as interpersonal communication, independence-performance, independence-competence, occupation/ employment explain family burden significantly in the seven areas of the social functioning scale. Conclusion : Primary caregivers of remitted schizophrenic outpatients feel burden considerably even though their ill relatives show few psychiatric symptoms. Changeable variables by clinical practice were more explanation than unchangeable variables on the family burden.

      • KCI등재

        국가중요농업유산 구례 산수유 농업지의 관속식물상 특성

        김진원,오충현,Kim, Jin-Won,Oh, Choong-Hyeon 한국농촌계획학회 2018 농촌계획 Vol.24 No.2

        This study has been conducted to understand the relationships such as interspecific interactions between species and landscapes within and outside of agricultural land by identifying the flora features of Cornus officinalis farmlands in Gurye which designated as Korea's Important Agricultural Heritage System. For this, the flora of vascular plants was surveyed in every land uses of two representative districts. These two districts represent the own features of Cornus officinalis farming area which including land uses like forests(especially pine tree), valley, farmland(rice paddy, farms, Cornus officinalis farmland), and residence. Also differences in flora by stone wall's existence and Cornus officinalis's DBH were surveyed. As a result, Cornus officinalis farmlands showed the various vascular plants than the other land uses. According to the existence of stone wall in Cornus officinalis farmlands, there were no differences in appearance flora. But the flora in Cornus officinalis farmlands which have different Cornus officinalis' DBH(Divided into average over 15cm and under 8cm), various plants were showed in average over 15cm than average under 8cm. In conclusion, Cornus officinalis farmlands have been actively engaged in various types of land use and species exchanges, including forests, valleys, villages, and fields, and it has been confirmed that it acts as an ecological axis connecting forests to villages.

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