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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.
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.
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.
적합성시험에서 데이타흐름시험 개념의 형식화를 통한 시험케이스의 최적화
김태형(Tae-Hyong Kim),장민석(Min-Seok Jang),황익순(Ik-Soon Hwang),오행석(Haeng-Seok Oh),이재용(Jai-Yong Lee),이상배(Sang-Bae Lee) 한국정보과학회 1997 정보과학회논문지 : 시스템 및 이론 Vol.24 No.5
In this paper, we propose an optimization method of data flow test sequences in conformance testing. Test sequences for data flow test with good fault coverage are normally longer than those of control flow test, so their optimization is needed. As optimizations of control flow test sequences could have been studied on the basis of the formalized concept of the test, we formalize the concept of data flow test and optimize test sequences of the test. We first define some test measures in edges and show what test measures a test sequence has in its test measure set. Some existing data selection criteria are expressed in this way, and a new data selection criterion fit for conformance testing is proposed. As the length of data flow test sequences increases due to loops and converging states, the proposed optimization method mainly handles them through the formalized data flow test concepts. Other good points of this technique are expressed and the results of applying it to two communication protocols show its effectiveness last. 본 논문에서는 적합성시험에서 데이타흐름시험열의 최적화방법을 제안한다. 우수한 오류검출 범위를 갖는 데이타흐름시험열은 일반적으로 제어흐름시험열보다 길기 때문에 최적화가 요구된다. 제어흐름시험열의 최적화는 형식화된 시험개념을 바탕으로 연구될 수 있었으므로 마찬가지로 데이타흐름시험의 개념을 형식화하여 그 시험열을 최적화 한다. 먼저 이 각 예지에 존재하는 시험성분을 정의하고 각 시험열이 그 시험성분집합 안에 어떠한 시험성분을 가지는지를 보인다. 기존의 주요 데이타선택범주를 이러한 방법으로 표현하고 적합성시험에 알맞은 새로운 데이타 선택범주를 제안한다. 데이타흐름시험열의 길이는 주로 루프와 집중상태에 의해 증가되므로 제안된 최적화방법은 형식화된 데이타흐름시험의 개념을 통해 그 부분을 대상으로 한다. 마지막으로 제안된 방법이 가지는 다른 유용성에 대해 논의하고 두 가지 통신 프로 토콜의 시험케이스 생성에 이 기법들을 적용하여 그 효용성을 입증한다.
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)