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김태형(Tae Hyong Kim),김원모(Weon Mo Kim) 한국조리학회 2005 한국조리학회지 Vol.11 No.1
This study aims to develop the learning model for efficient culinary practice. Today, the environment of culinary education has an oversupply of cooks who graduated from a lot of culinary schools. From now on, we should consider the quality than the quantity of culinary education. For improving the quality of culinary education, we have to study the learning model for efficient culinary practice. The learning model for culinary practice is based on the educational psychology and the study theories. For achieving the goal of this research, the educational psychology and learning theories need to be adopted to the teaching skill of culinary practice. It should play a very important role in improving the quality of culinary teaching skill in school. But this study has some limitations in this respect, because of being lack of professional studies and data for the educational psychology and leaning theories in the culinary practice part. The next study is needed the significantly adapting result of educational theories in culinary school.
스마트 전자게시판을 위한 학생 맞춤형 게시물 표출 시스템 개발
김태형(Tae-Hyong Kim),김민영(Min-Young Kim),김주엽(Ju-Yeop Kim),전지용(Ji-Yong Jeon),정은혜(Eun-Hye Jeong),현소담(So-Dam Hyeon) 한국정보기술학회 2024 한국정보기술학회논문지 Vol.22 No.4
This study proposes a system that can be used for smart electronic bulletin boards by selecting posts and news on campus and off campus and providing them on the web. Through this system, students can check the posts or news selected for them by scanning their student ID card with an RFID or QR code reader at a kiosk. The proposed system divides students into specific categories based on their conditions, extracts keywords corresponding to each category in advance, crawls the latest on-campus and off-campus posts daily, extracts the keywords, and stores them with the posts. dents ID is given into the system, it measures the relevance between the students category keywords and the keywords in each post and recommends posts with high similarity. It also performs text summarization and formatting to properly display the recommended posts on the bulletin board. The developed system was piloted on a real campus electronic bulletin board and its usefulness was confirmed.
김태형 ( Tae Hyong Kim ) 대한내과학회 2021 대한내과학회지 Vol.96 No.6
Infectious disease pandemics are characterized by extreme uncertainty. From the more predictable response to seasonal influenza, which occurs each year, we have learned the importance of effective universal vaccines and therapeutic agents to protect high-risk groups. Heterologous vaccination with different types of vaccines to prevent COVID-19 is already recommended for various reasons: shortages of mass vaccine supply; critical adverse events, and potential superior efficacy as a booster dose. However, very few studies have examined the efficacy and safety of heterologous vaccination with mixed types. This review discusses the efficacy of vaccines currently approved in the Republic of Korea, including heterologous vaccination options. (Korean J Med 2021;96:450-454)
CT Angiography 영상에서 대동맥 추출을 위한 혈관 분할 알고리즘 성능 평가
김태형(Tae-Hyong Kim),황영상(Young-sang Hwang),신기영(Ki-Young Shin) 한국정보전자통신기술학회 2016 한국정보전자통신기술학회논문지 Vol.9 No.2
세계보건기구협회에의 통계에 따르면 심장 혈관 질환의 발병률이 가장 높은 것으로 알려져 있다. CTA영상을 사용하여 관상동맥 및 대동맥 질환을 치료 및 검사할 수 있다. 혈관을 3차원으로 복원하는 과정이 의사의 숙련도에 따라 결과가 상이하며 복원 시간이 길다는 단점이 있으며 이를 극복하고자 자동으로 정확한 혈관을 추출하는 연구들이 진행되어 왔다. 본 논문에서는 자동 및 반자동 분할 기법인 Region Competition, Geodesic Active Contour(GAC), Multi-atlas based segmentation, Active Shape Model(ASM) 알고리즘을 CTA영상에 적용하여 대동맥 기부를 추출하였으며 하우스도르프 거리, 볼륨, 영상처리속도, 사용자 관여 여부, 그리고 관상동맥 심문 검출률을 비교 및 분석하였다. 추출된 3차원 대동맥 모델 중 가장 높은 정확도를 나타낸 알고리즘은 GAC인 반면 사용자 관여가 가장 높았기 때문에 실제 시술에 적용하기 위해서는 자동 분할 알고리즘 개선이 필요하다. World Health Organization reported that heart-related diseases such as coronary artery stenoses show the highest occurrence rate which may cause heart attack. Using Computed Tomography angiography images will allow radiologists to detect and have intervention by creating 3D roadmapping of the vessels. However, it is often complex and difficult do reconstruct 3D vessel which causes very large amount of time and previous researches were studied to segment vessels more accurate automatically. Therefore, in this paper, Region Competition, Geodesic Active Contour (GAC), Multi-atlas based segmentation and Active Shape Model algorithms were applied to segment aortic root from CTA images and the results were analyzed by using mean Hausdorff distance, volume to volume measure, computational time, user-interaction and coronary ostium detection rate. As a result, Extracted 3D aortic model using GAC showed the highest accuracy but also showed highest user-interaction results. Therefore, it is important to improve automatic segmentation algorithm in future.
미군의 해외파병시 안정화작전 교훈이 한국군 안정화작전에 주는 시사점
김태형 ( Tae Hyong Kim ) 미래군사학회 2014 한국군사학논총 Vol.3 No.2
Right after the 9.11, United States declared ‘Global war on Terrorism’ and invaded Afghanistan, but US army was gradually alienated from the Iraqi people and failed to oust the Taliban and Al-Qaeda because of misconducting stability operations. So far, they are still conducting stability operations in Afghanistan at an enormous cost. Two years later, United States started another war in Iraq, but he faced big challenges in the stability operations despite success of military operations in the early stage. This stems from misunderstanding of Iraqi people and culture, religious problems. After all, United States had to withdraw their forces from Iraq after eight years of operations. The cost of Iraqi war was very expensive. As we can get to know from these case, stability operations is very essential for the victory in the war. Especially, ROK army’s stability operations capability is very important because we are facing very unstable situation in Korean Peninsular. But we still have only a few studies in this field. So, this study suggests the direction for the success of ROK army’s stability operations. In this vein, it explains doctrine for ROK army’s stability operations comparing US army’s doctrine, first. And it analyzes some lessons from US army’s stability operations in OEF-A and OIF43). After that, it suggests direction that ROK army should go for the success of stability operations.
ICT 센서 융합을 위한 전이학습 기반 인체 동작 의도 예측 모델
김태형(Tae Hyong Kim),이동준(Dongjun Lee),이광민(Kwangmin Lee),최안렬(Ahnryul Choi),문정환(Joung Hwan Mun) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
본 논문은 착용형 어깨 보조 외골격 장치의 구동부 자동 제어를 위하여 전이학습 기반의 착용자 동작 의도 판단 모델을 제안하는 것이다. 근전도 센서, 관성 측정 센서 (IMU), 압력 센서를 사용한 모델의 분류 정확도는 94%를 보였으며, 전이학습 기법을 통하여 학습된 IMU와 FSR센서를 활용한 모델은 90%의 정확도를 보였다. 따라서, 제안한 방법은 다른 종류의 센서 신호를 기반으로 하는 모델을 사용하지만 재학습을 하지 않으면서 훈련 시간 단축 및 높은 정확도를 보장하는 방법으로 사료된다.