• 인간식물환경학회지
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• 제24권4호
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• pp.341-353
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• 2021

Background and objective: As the agricultural industry becomes a more convergent industry, it is believed that the demand for human resources by companies will change. Therefore, a survey was conducted to investigate the human resources required by agriculture companies. Methods: In the survey on 77 agriculture companies, 98.7% of respondents answered that new employees with a college degree needed additional training to adapt to practical affairs. Results: The first priority of education was "community spirit" (22.1%) and the second priority was "convergence capability" (15.6%). The most important educational goal desired by agricultural companies was "cultivating human resources with community spirit and ethical judgment", followed by "cultivating human resources with serious communication and problem-solving skills", and "cultivating human resources with scientific thinking and unique creative imagination." Sub-competencies that companies want agricultural colleges to strengthen were "community spirit" 4.32(SD=0.96), "desirable values" 4.30 (SD = 1.05), "sympathy" 4.28 (SD = 0.95), "convergence capability" 4.16 (SD = 0.88), "creativity" 4.11 (SD = 0.83), "civic spirit" 4.10 (SD = 0.91), and "rational/critical thinking" 3.94 (SD = 1.04). There was a significant difference in sub-competencies that require reinforcement depending on the number of full-time employees. "Creativity" was most necessary in companies with less than 3 employees (4.39), and 4~7 employees (4.33), and "aesthetics"" in companies with less than 3 employees (3.94), and 4-7 employees (3.61) "Civic spirit" was most necessary in companies with 31 employees or more (4.33). Conclusion: The most important educational goal desired by companies was "cultivating human resources with community spirit and ethical judgment".

• 한국정보통신학회논문지
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• 제26권5호
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• pp.641-648
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• 2022

본 논문은 3D 프린터 출력 방식 중 하나인, 전자빔용해법(EBM)의 공정 간에 발생하는 결함에 영향을 미치는 요인들을 데이터 분석을 통해 규명하는 연구이다. 선행 연구들을 기반으로 결함발생에 주요한 원인으로 지목되는 요소들을 참고하였으며, 공정 간 발생하는 로그파일 분석을 통해 결함 발생과 연관된 변수들을 추출하였다. 또한, 해당 데이터가 시계열 데이터라는 점에 착안하여 window의 개념을 도입하여, 현재 공정 층으로부터 총 3개 전 층까지의 데이터를 포함하여 분석에 사용 될 변수들을 구성하였다. 해당 연구의 종속변수는 결함발생유무이기에 이진분류를 통한 분석을 하였으며, 이때 결함 층의 비율이 낮다는(약 4%) 문제로 인해 SMOTE 기법을 적용하여 균형잡힌 훈련용 데이터를 만들었다. 분석을 위해 Gridsearch CV를 활용한 XGBoost를 사용하였고, 분류 성능은 혼동행렬을 기반으로 평가하였다. 마지막으로, SHAP값을 통한 변수 중요도 분석을 통해 연구의 결론을 내렸다.

• Korean Journal of Acupuncture
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• 제39권3호
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• pp.71-83
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• 2022

Objectives : Instructional design is the systematic approach to the Analysis, Design, Development, Implementation, and Evaluation of learning materials and activities. We aimed to apply the rapid prototyping to instructional systems design (RPISD) in meridianology laboratory, a subject in which students train acupuncture to develop lesson plan. Methods : The needs of the stakeholders including client, subject matter expert and students were analyzed using the performance needs analysis model. Task analysis was implemented by observation and interview. First prototype was drafted and implemented in meridianology laboratory class once. The second prototype was modified from the first, by usability evaluation of the stakeholders. Results : The client requested an electronically documented manual to improve the quality of acupuncture training. The learner requested an extension of practice time and detailed practice guidelines. The main problems of students' performance were some cases of violation of clean needle technique, the lack of communication between the operator and recipient in direct, and lack of confidence in their own performance. Stakeholders were generally satisfied with the proposed first prototype. Second prototype of lesson plan was produced by modifying some contents. Conclusions : A lesson plan was developed by applying the systematic RPISD model. It is expected that the developed instructional design may contribute to the quality improvement of meridianology laboratory education.

• 한국정보통신학회논문지
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• 제25권11호
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• pp.1649-1654
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• 2021

본 논문에서는 고령자의 낙상상황을 감지할 수 있는 텐서플로우 장단기 메모리 기반 낙상감지 시스템의 정규화에 대하여 소개한다. 낙상감지는 고령자의 몸에 부착한 3축 가속도 센서 데이터를 사용하며, 총 7가지의 행동 패턴들에 대하여 학습하며, 각각 4가지는 일상생활에서 일어나는 패턴이고, 나머지 3가지는 낙상에 대한 패턴이다. 학습시에는 손실함수(loss function)를 효과적으로 줄이기 위하여 정규화 과정을 진행하며, 정규화 과정은 데이터에 대하여 최대최소 정규화, 손실함수에 대하여 L2 정규화 과정을 진행한다. 3축 가속도 센서를 이용하여 구한 다양한 파라미터에 대하여 정규화 과정의 최적의 조건을 제시한다. 낙상 검출율면에서 SVM을 이용하고 정규화 127과 정규화율 λ 0.00015일 때 Sensitivity 98.4%, Specificity 94.8%, Accuracy 96.9%로 가장 좋은 모습을 보였다.

• 한국정보통신학회논문지
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• 제25권11호
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• pp.1486-1494
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• 2021

문자 인식은 스마트 주차, text to speech 등 최근 다양한 플랫폼에서 필요로 하는 기술로써, 기존의 방법과 달리 새로운 시도를 통하여 그 성능을 향상시키려는 연구들이 진행되고 있다. 그러나 문자 인식에 사용되는 이미지의 품질이 낮을 경우, 문자 인식기 학습용 이미지와 테스트 이미지간에 해상도 차이가 발생하여 정확도가 떨어지는 문제가 발생된다. 이를 해결하기 위해 본 논문은 문자 인식 모델 성능이 다양한 품질 데이터에 대하여 강인하도록 이미지 초해상도 및 문자 인식을 결합한 통째학습 신경망을 설계하고, 대안적 통째학습 알고리즘을 구현하여 통째 신경망 학습을 수행하였다. 다양한 문자 이미지 중 차량 번호판 이미지를 이용하여 대안적 통째학습 및 인식 성능 테스트를 진행하였고, 이를 통해 제안하는 알고리즘의 효과를 검증하였다.

• 산업융합연구
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• 제20권5호
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• pp.61-68
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• 2022

최근에는 발전하는 정보통신 기술을 이용하여 악의적인 코드들이 제작되고 있고 이를 기존 탐지 시스템으로는 탐지하는게 역부족인 실정이다. 이러한 지능적이고 악의적인 코드를 정확하고 효율성 있게 탐지하고 대응하기 위해서는 지능적 탐지 모델이 필요하다. 그리고, 탐지 성능을 최대로 높이기 위해서는 악의적인 코드의 주요 특징 정보 집합으로 훈련하는 것이 중요하다. 본 논문에서는 지능적 탐지 모델을 설계하고 모델 훈련에 필요한 데이터를 변환, 차원축소, 특징 선택 단계를 거쳐 주요 특징 정보 집합으로 생성하는 기법을 제안하였다. 그리고 이를 기반으로 악의적인 코드별로 주요 특징 정보를 분류하였다. 또한, 분류된 특징 정보들을 기반으로 변형되거나 새로 등장하는 악의적인 코드를 분석하고 탐지하는데 사용할 수 있는 공통 특징 정보를 도출하였다. 제안된 탐지 모델은 제한된 수의 특성 정보로 학습하여 악의적인 코드를 탐지하기에 탐지 시간과 대응이 빨리 이루어져 피해를 크게 줄일 수 있다. 그리고, 성능 평가 결과값은 학습 알고리즘에 따라 약간 차이가 나지만 악의적인 코드 대부분을 탐지할 수 있음을 평가로 알 수 있었다.

• 치위생과학회지
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• 제22권4호
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• pp.233-240
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• 2022

Background: In modern society, rapid changes in the medical environment have required medical staff to access various information and be competent in active and effective problem-solving through collegial interactions. In line with these changes, universities are aiming to connect education. This study aimed to provide basic data of connected-convergence education by survey the awareness and needs of college students in health-related fields. Methods: This study included 122 college students from the health field. A survey regarding "the awareness and need of connected-convergence education" was conducted and general characteristics of the participants were collected from June to July 2022. Results: The awareness of connected-convergence education was low at 19.7%, but the intention to participate was high at 74.6%. Subject requirements were 18.0% for medical psychology, 13.5% for communication and counseling, 13.5% for medical artificial intelligence technology convergence, and 10.4% for sports health management. In the group showing high satisfaction with the major curriculum, the demand for connected education was also high. For efficient operation, it was investigated that it was necessary to secure specialized training courses, recognition of liberal arts credits, the right to register for courses equal to those of major students, and secure dedicated classrooms. Conclusion: Although the awareness and experience of connected-convergence education among the participants were low, the intention to participate was high. As such a plan to revitalize the university curriculum was required. It is timely to discuss the nurturing of convergence-type talents and multidisciplinary thinking skills. It is meaningful to provide basic data necessary for connected-convergence education in health-related fields at university. Universities should strive to enhance job competency in the health field by providing connected-convergence education based on student demands.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.146-152
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• 2022

The National Agency for Quality Assurance in Higher Education plays a crucial role in education in Ukraine, as an independent entity creates and ensures quality standards of higher education, which allow to properly implement the educational policy of the state, develop the economy and society as a whole. The purpose of the article: to reveal the crucial role of the National Agency for Quality Assurance in Higher Education to create quality management of higher education institutions, to show its mechanism as an independent entity that creates and ensures quality standards of higher education. and society as a whole. The mission of the National Agency for Quality Assurance in Higher Education is to become a catalyst for positive changes in higher education and the formation of a culture of its quality. The strategic goals of the National Agency are implemented in three main areas: the quality of educational services, recognition of the quality of scientific results, ensuring the systemic impact of the National Agency. The National Agency for Quality Assurance in Higher Education exercises various powers, which can be divided into: regulatory, analytical, accreditation, control, communication. The effectiveness of the work of the National Agency for Quality Assurance in Higher Education for 2020 has been proved. The results of a survey conducted by 183 higher education institutions of Ukraine conducted by the National Agency for Quality Assurance in Higher Education are shown. Emphasis was placed on the development of "Recommendations of the National Agency for Quality Assurance in Higher Education regarding the introduction of an internal quality assurance system." The international activity and international recognition of the National Agency for Quality Assurance in Higher Education are shown.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제12권8호
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• pp.235-242
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• 2023

최근 들어 영유아를 대상으로 한 비대면 상담이 증가함에 따라 감정인식 보조 도구로 CNN기반 딥러닝 모델을 많이 사용하고 있다. 하지만 대부분의 감정인식 모델은 성인 데이터 위주로 학습되어 있어 영유아 및 청소년을 대상으로 적용하기에는 성능상의 제약이 있다. 본 논문에서는 이러한 성능제약의 원인을 분석하기 위하여 XAI 기법 중 하나인 LIME 기법을 통해 성인 대비 영유아와 청소년의 감정인식을 위한 얼굴 표정의 특징을 분석한다. 뿐만 아니라 남녀 집단에도 동일한 실험을 수행함으로써 성별 간 얼굴 표정의 특징을 분석한다. 그 결과로 연령대별 실험 결과와 성별별 실험 결과를 CNN 모델의 사전 훈련 데이터셋의 데이터 분포를 바탕으로 설명하고 균형 있는 학습 데이터의 중요성을 강조한다.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.184-192
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• 2023

The purpose of this study was to compare and analyze the body composition, muscle circumference, and muscle activity of men in their 30s and 50s when the resistance exercise program was applied for 12 weeks, and to provide basic data for the preparation of the resistance exercise program for middle-aged men before entering old age. Nine men in their 30s and eleven 11 men in their 50s participated in the moderate intensity resistance exercise program for 12 weeks. Two weeks before the experiment, body composition, muscle circumference, and EMG were pre-tested, and then body composition and muscle circumference were additionally measured at the 8th week. Body composition, muscle circumference, and EMG were measured within 2 weeks after the 12 week exercise program. The measured data were compared and analyzed by Mixed design two-way ANOVA, and the following results were obtained. The body composition showed a significant difference only in the skeletal muscle mass, and it increased in the 30s group at 8 weeks. Muscle circumference did not show significant difference according to group and time. Muscle activity showed a significant difference according to group and time, and pectoralis major and triceps brachii showed a significant decrease to 30s group. The pectoralis major was higher in the 30s group at all times. In summary, when applying a 12-week resistance exercise program for young men and middle-aged men, the effect of improving muscle strength may appear similar, but they are not consistent, and it is thought that gradual changes in training variables are needed to improve muscle mass.