• 한국산학기술학회논문지
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• 제20권7호
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• pp.61-67
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• 2019

본 연구의 목적은 간호대학생에게 영화를 활용한 셀프리더십 프로그램을 적용하고 셀프리더십, 임파워먼트, 자기 주도적 학습능력, 행복감에 미치는 효과를 확인하는 것이다. 연구참가자는 총 60명의 간호대학생으로 자료수집기간은 2017년 3월 7일부터 6월 13일까지이다. 데이터는 SPSS WIN 24.0 컴퓨터 프로그램을 이용하여 빈도, 백분율, 평균, 표준편차, paired t-test로 분석되었다. 셀프리더십 프로그램은 총 13차시로 구성되었고, 셀프 메니지먼트, 셀프 트레이닝, 셀프 브랜딩에 대한 내용으로 14편의 영화가 활용되었다. 간호대학생의 셀프리더십은 교육 후 유의하게 증가하였다(t=-4.38, p<.001). 세부항목으로, 행동중심적 전략, 자연보상적 전략 및 건설적 사고전략가 모두 유의하였다. 임파워먼트도 교육 후 유의하게 증가하였고(t=-5.83, p<.001), 개인적능력, 집단인식 및 자기결정도 모두 유의하였다. 자기주도적 학습능력도 교육 후 높았고(t=-3.31, p=.002), 학습계획과 학습실행이 유의하였다. 더불어, 간호대학생의 행복감도 교육 후 유의하게 높았다(t=-4.49,p<.001). 본 연구결과, 영화를 활용한 셀프리더십 프로그램은 간호대학생의 셀프리더십, 임파워먼트, 자기주도 학습능력 및 행복감을 향상시킬 수 있으므로 향후 교육중재로 유용하게 활동이 될 수 있을 것이다.

• 한국산업정보학회논문지
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• 제27권6호
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• pp.13-23
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• 2022

본 논문에서는 패션 분야의 비정형 데이터 검색을 위한 패션 아이템별 세부 컨포넌트 이미지 분류 알고리즘을 제안한다. 코로나-19 환경으로 인하여 최근 AI 기반 쇼핑몰이 증가하는 추세이다. 하지만 기존의 키워드 검색과 사용자 서핑 행위 기반 개인 맞춤형 스타일 추천으로는 정확한 비정형 데이터 검색에는 한계가 있다. 본 연구는 다양한 온라인 쇼핑 사이트에서 크롤링한 이미지를 사용하여 Mask R-CNN을 활용한 전처리를 진행한 후, CNN을 통해 패션 아이템별 컴포넌트에 대한 분류를 진행하였다. 셔츠의 카라 및 패턴과 청바지의 핏, 워싱 및 컬러에 대한 분류를 진행하였으며, 다양한 전이학습 모델을 비교 분석한 후 가장 높은 정확도가 나온 Densenet121모델을 사용하여 셔츠의 카라는 93.28%, 셔츠의 패턴은 98.10%의 정확도를 도달하였으며, 청바지의 핏은 Notched, Spread, Straight 3가지의 클래스의 경우 91.73%, Regular 핏을 추가한 4가지의 클래스의 경우 81.59%, 청바지의 색상은 93.91%, 청바지의 Washing은 91.20%, 청바지의 Demgae는 92.96%의 정확도를 도출하였다.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.39-48
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• 2022

The main purpose of the work is to analyze modern innovative educational practices in the field of culture and art and their effectiveness in the context of the spread of digitalization trends. The study used general scientific theoretical methods of analysis, synthesis, analogy, comparative, induction, deduction, reductionism, and a number of others, allowing you to fully understand the pattern of modern modernization processes in a long historical development and demonstrate how the rejection of the negativity of progress allows talented artists to realize their own potential. The study established the advantages and disadvantages of involving innovative technologies in the educational process on the example of European experience and outlined possible ways of implementing digitalization processes in Ukrainian institutions of higher education, formulated the main difficulties encountered by teachers and students in the use of technological innovation in the pandemic. The rapid development of digital technologies has had a great impact on the sphere of culture and art, both visual, scenic, and musical in all processes: creation, reproduction, perception, learning, etc. In the field of art education, there is a synthesis of creative practices with digital technologies. In terms of music education, these processes at the present stage are provided with digital tools of specially developed software (music programs for composition and typing of musical text, recording, and correction of sound, for quality listening to the whole work or its fragments) for training programs used in institutional education and non-institutional learning as a means of independent mastering of the theory and practice of music-making, as well as other programs and technical tools without which contemporary art cannot be imagined. In modern stage education, the involvement of video technologies, means of remote communication, allowing realtime adjustment of the educational process, is actualized. In the sphere of fine arts, there is a transformation of communicative forms of interaction between the teacher and students, which in the conditions of the pandemic are of two-way communication with the help of information and communication technologies. At this stage, there is an intensification of transformation processes in the educational industry in the areas of culture and art.

• 대한치과교정학회지
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• 제52권4호
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• pp.287-297
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• 2022

Objective: To investigate the pattern of accuracy change in artificial intelligence-assisted landmark identification (LI) using a convolutional neural network (CNN) algorithm in serial lateral cephalograms (Lat-cephs) of Class III (C-III) patients who underwent two-jaw orthognathic surgery. Methods: A total of 3,188 Lat-cephs of C-III patients were allocated into the training and validation sets (3,004 Lat-cephs of 751 patients) and test set (184 Lat-cephs of 46 patients; subdivided into the genioplasty and non-genioplasty groups, n = 23 per group) for LI. Each C-III patient in the test set had four Lat-cephs: initial (T0), pre-surgery (T1, presence of orthodontic brackets [OBs]), post-surgery (T2, presence of OBs and surgical plates and screws [S-PS]), and debonding (T3, presence of S-PS and fixed retainers [FR]). After mean errors of 20 landmarks between human gold standard and the CNN model were calculated, statistical analysis was performed. Results: The total mean error was 1.17 mm without significant difference among the four time-points (T0, 1.20 mm; T1, 1.14 mm; T2, 1.18 mm; T3, 1.15 mm). In comparison of two time-points ([T0, T1] vs. [T2, T3]), ANS, A point, and B point showed an increase in error (p < 0.01, 0.05, 0.01, respectively), while Mx6D and Md6D showeda decrease in error (all p < 0.01). No difference in errors existed at B point, Pogonion, Menton, Md1C, and Md1R between the genioplasty and non-genioplasty groups. Conclusions: The CNN model can be used for LI in serial Lat-cephs despite the presence of OB, S-PS, FR, genioplasty, and bone remodeling.

• 한국인터넷방송통신학회논문지
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• 제23권4호
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• pp.41-46
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• 2023

인체 소변은 혈액 내의 노폐물을 배출하는 과정으로 채취가 쉽고 다양한 물질들이 포함되어 있습니다. 요검사는 이를 통해 질병, 건강상태, 요로 감염 여부 등을 확인하는 용도로 사용됩니다. 요검사에는 물리적 성상 검사, 화학적 검사, 현미경 검사의 세 가지 방법이 있으며, 화학적 검사는 요검사지를 사용하여 쉽게 결과를 확인할 수 있다. 요검사지에는 다양한 항목들을 검사할 수 있으며, 이를 통해 다양한 질병들을 확인할 수 있다. 최근 스마트폰의 보급으로 스마트폰을 이용한 요검사지 판독 연구가 진행되고 있다. 스마트폰을 이용하여 요검사지의 색 변화를 감지하고 판독하는 방법이 있다. 이러한 방법은 RGB값과 색 차이 공식을 사용하여 판별한다. 그러나 다양한 환경 요인으로 인해 정확도가 떨어지는 문제가 있다. 본 논문은 이러한 문제를 해결하기 위해 딥러닝 모델을 적용한다. 특히, 경량화된 CNN(Convolutional Neural Networks) 모델을 사용하여 스마트폰 내에서 요검사지의 색 판별을 개선한다. CNN은 이미지 인식과 패턴 찾기에 유용한 모델로, 경량화된 버전도 사용 가능하다. 이를 통해 스마트폰에서 딥러닝 모델을 운영하고 정확한 요검사지 결과를 추출할 수 있다. 요검사지는 다양한 환경에서 촬영하여 딥러닝 모델 학습 이미지를 준비 하였으며 MobileNet V3을 사용하여 요검사 서비스 어플리케이션을 설계하였다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권3호
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• pp.133-140
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• 2023

리튬 이온 배터리는 사용 환경과 양극재 조합 비율에 따라 배터리의 성능이 좌우된다. 고성능 리튬 이온 배터리를 개발하기 위해서는 양극재 비율을 다양하게 변화시켜가면서 배터리를 제작하고 성능을 측정해야 한다. 하지만 모든 변수 조합에 대해 배터리를 제작하고 성능을 측정하기에는 많은 시간과 비용이 소모된다. 그렇기 때문에 최근에는 데이터 기반으로 인공지능 모델을 활용하여 배터리의 성능을 예측하고자 하는 연구가 활발히 진행되고 있다. 그러나 기존 공개 배터리 데이터는 동일한 배터리로 측정 실험을 하였기 때문에 양극재 조합 비율은 고정되어 있어서 데이터 속성으로 포함되지 않았다. 본 논문에서는 양극재 소재 조합 비율에 따른 배터리의 성능을 예측할 수 있는 인공지능 모델 개발에 필요한 학습 데이터 모델을 정의한다. 우리는 리튬 이온 배터리의 성능에 영향을 미칠 수 있는 요인을 분석하여 양극재 소재별 질량과 배터리 사용 환경을 입력데이터로, 배터리의 출력과 용량을 목적 데이터로 정의하였다. 공개 배터리 데이터 중에는 양극재 비율이 포함된 데이터가 없어 양극재 비율을 모두 동일한 값으로 설정한 제한된 데이터로 다중 선형회귀 분석, 서포트 벡터 회귀분석, 다중 로지스틱 회귀 분석, LSTM 분석을 수행하였다. 실험 환경이 다른 배터리 데이터에서 각각의 배터리 데이터는 고유한 패턴을 유지하였으며, 배터리 분류 모델은 각각의 배터리를 약 2%의 오차로 분류하는 것으로 나타났다.

• 수완나부미
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• 제6권1호
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• pp.107-135
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• 2014

Cham identities which are socially constructed and multilayered, display their markers in a variety of elements, including homeland attachment to the former Kingdom of Champa, religion, language and cultural traditions, to mention a few. However, unlike other contemporary diasporic experience which binds the homeland and the host country, the Cham diaspora in Cambodia has a unique pattern as it seems to have no voice in the political and economic spheres in Vietnam, its homeland. The relations between the Cham in Cambodia and Vietnam seem to be limited to cultural heritages such as Cham musical traditions, traditional clothing, and the architectural heritage. Many Cham people have established networks outside Cambodia with areas of the Muslim world, like Malaysia, Indonesia, southern Thailand and the Middle Eastern countries. Pursuing education or training in Islam as well as working in those countries, especially Malaysia has become a way for the Cham to widen their networks and increase their knowledge of particularly, Islam. Returning to Cambodia, these people become religious teachers or ustadz (Islamic teachers in the pondok [Islamic boarding school]). This has developed slowly, side by side with the formation of their identity as Cham Muslims. Among certain Cham, the absence of an ancient cultural heritage as an identity marker has been replaced by the Islamic culture as the important element of identity. However, being Cham is not a single identity, it is fluid and contested. Many scholars argue that the Cham in Cambodia constitute three groups: the Cham Chvea, Cham, and Cham Bani (Cham Jahed). The so-called Cham Jahed has a unique practice of Islam. Unlike other Cham who pray five times a day, Cham Jahed people pray, once a week, on Fridays. They also have a different ritual for the wedding ceremony which they regard as the authentic tradition of the Cham. Indeed, they consider themselves pure descendants of the Cham in Vietnam; retaining Cham traditions and tending to maintain their relationship with their fellow Cham in Central Vietnam. In terms of language, another marker of identity, the Cham and the Cham Jahed share the same language, but Cham Jahed preserve the written Cham script more often than the Cham. Besides, the Cham Jahed teaches the language to the young generation intensively. This paper, based on fieldwork in Cambodia in 2010 and 2011 will focus on the process of the formation of the Cham identity, especially of those called Cham and Cham Jahed.

• 동의생리병리학회지
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• 제37권6호
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• pp.172-177
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• 2023

In order to deduce the pathogenic factor(PF) diagnosis logic of underlying in pattern identification of Korean medicine, 2,072 cases of DSOM(Diagnosis System of Oriental Medicine) data from May 2005 to April 2022 were collected and analyzed by means of decision tree model(DTM). The entire data were divided into training data and validation data at a ratio of 7:3. The CHAID algorithm was used for analysis of DTM, and then validity was tested by applying the validation data. The decision rules of items and pathways determined from the diagnosis data of Qi Deficiency, Blood Deficiency, Yin Deficiency and Yang Deficiency Pathogenic Factor of DSOM were as follows. Qi Deficiency PF had 7 decision rules and used 5 questions: Q124, Q116a, Q119, Q119a, Q55. The primary indicators(PI) were 'lack of energy' and 'weary of talking'. Blood deficiency PF had 7 decision rules and used 6 questions: Q113, Q84, Q85, Q114, Q129, Q130. The PI were 'numbness in the limbs', 'dizziness when standing up', and 'frequent cramps'. Yin deficiency PF had 3 decision rules and used 2 questions: Q144 and Q56. The PI were 'subjective heat sensation from the afternoon to night' and 'heat sensation in the limbs'. Yang deficiency PF had 3 decision rules and used 3 questions: Q55, Q10, and Q102. The PI were 'sweating even with small movements' and 'lack of energy'. Conclusively, these rules and symptom information to decide the Qi·Blood·Yin·Yang Deficiency PF would be helpful for Korean medicine diagnostics.

• 대한영상의학회지
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• 제85권4호
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• pp.714-726
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• 2024

흉부 CT상 폐기종이나 간질성 폐질환의 형태나 범위를 인공지능을 이용하여 자동적으로 객관적으로 진단하는 다양한 알고리즘을 개발되고, 이를 증명하는 연구들이 진행되어 왔다. 흉부 CT상 인공지능을 이용한 폐기종 정량화 연구들을 보면 CT상 폐기종의 상대적인 양이 증가와 폐 기능의 악화와 연관이 있으며, 특히 중심성 폐기종을 중심으로 정량화를 하는 것이 임상 증상이나 만성폐쇄성 폐질환의 사망률을 예측하는 데 도움이 된다고 보고하고 있다. 또한, 간질성 폐질환에서는 인공지능이 CT상 통상성 간질성 폐렴의 형태를 정상, 간유리 음영, 망상형 음영, 벌집 모양, 폐기종, 경화로 분류를 할 수 있고, 인공지능이 흉부영상의학과 전문의와 비슷한 정도로 통상성 간질성 폐렴을 진단(70%-80%) 할 수 있다고 보고했다. 그러나 인공지능의 결과들이 흉부 CT의 스캔 변수들, 재구성 알고리즘, 방사선 선량, 개발된 인공지능 훈련 데이터에 의해 영향을 받으며, 이러한 이유로 아직까지 흉부 CT상 폐기종과 간질성 폐질환의 진단과 정량화는 실제로 일상 업무에서 제한적으로 사용되고 있다. 이 논문에서는 폐기종과 간질성 폐질환의 진단과 정량화를 위해서 인공지능을 사용하고 있는 저자들의 경험을 증례로 소개를 하고, 이 두 질환의 인공지능의 효용성과 제한점에 대해서 언급하고자 한다.

• 농업과학연구
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• 제18권2호
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• pp.164-179
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• 1991

Korean agriculture has encountered two problems. One is internal income disparity between rural and urbarn area and the other is external Uruguay Round trade problems as an abolition of direct and indirect import barriers, reduction in export subsidies and to reduce internal price supports. These problems will be brought severe farm problems such as decreasing farm household income and repressing agricultural growth in the near future. Considering the above inevitable facts Korean government has implemented several development projects such as rural industrial area development project, rural special production area development project, leisuresight seeing farm development project, traditional food development project, unskilled labor training project for off-farm employment and so on, to increase farm household income through off-farm income increase. This study was mainly concentrated on the identification of operational problems and post evaluation of the rural special production area development projects which aimed at increasing non-farm incomes and giving employment opportunity for rural farmers in small factories processing regional special farm products and mine products. The main findings and problems to be solved for the successful project implementation are as followed ; 1. Total number of the special production area development projects as of the end of 1991 was amount to 138, and total number of farm household participated were estimated at 2,079, and total amount of off-farm income per farm household was reached to 3,011 thousand won. 2. The total number of processed special products have increased from 21 items in 1981 to 56 items in 1991. On the other hand the total number of farm household participated in the projects have decreased from 2,518 to 2,079 during same period. 3. Total amount of investment for the projects has increased from 1,429 million won in 1981 to 24,760 million won in 1991 but the rate of G'T loan of the total investment has reduced from 24.5% to 5.2% during same period. 4. 138 special production area development project are classified into 6 kinds of commodity groups such as 19 of general industrial good production areas, 52 of folks-industrial art objects production areas, 39 of food processing areas, 9 of fiber and texstile processing areas, 18 of agricultural and fishery inputs processing areas and 1 of stone processing area. 5. The total production value in 1990 was estimated 20,169 million won of which export was amount to 2,627 million won. 6. The finacial rate of return of the UNGOK KUGIJA Tea processing Project operated by UNGOK coops and BAKSAN ginseng tea processing project were estimated at 45.4% (B/C Ratio=1.17, NPV=152.5 million won) and 17.7% (B/C Ratio=1.12, NPV=120.2 million won) respectively. 7. More favorite terms and condition of the loan including collateral problems have to be given to farmers participated. Heavy investment and G'T subsidy policies should be started for the successful project implementation anf farm household income increase. 8. To expand market demand of the rural special goods G'T have to provide special program of TV or other mass media for commodity propaganda and the total cost concerned must be supported by G'T subsidy. 9. The special farm products as GUGUJA,MOSI'Ramie', Ginseng. SOGOKJU,HEMP,Mushroom.DUGYUNJU and Chesnut processing projects have to be propelled and expanded for off-farm income increase in Chung Nam Province. 10. Direct operational pattern of the special production area by coops is more favorable to farmers and recommendable considering with off-farm income increase and market demand creation throughout Korea. 11. In rural area, special organizations for project appraisal are not exist. Accordingly special training program, project appraisal, formulation and preparation for civil servants concerned have to be prepared for project selection and sound implementation under limited budget and financial support.