http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
김상훈(Sanghoon Kim),김덕호(Duck-Ho Kim),김준서(June-Seo Kim),문경웅(Kyoung-Woong Moon),이기석(Ki-Suk Lee),최석봉(Sug-Bong Choe),김갑진(Kab-Jin Kim) 한국자기학회 2018 韓國磁氣學會誌 Vol.28 No.2
We review here the recent progress on the study of the magnetization dynamics as well as the basic principle of the related phenomena. The static properties of the magnetic domain walls and skyrmions as well as their dynamic properties under application of magnetic field and/or spin current are discussed together with the Dzyaloshinskii-Moriya interaction. Finally, the basic principle and recent progress in the antiferromagnetic spintronics are introduced.
사용자 중심의 대화형 IoT 서비스 매쉬업 모델과 엔진
김상훈(Sanghoon Kim),고인영(In-Young Ko) 한국정보과학회 2021 정보과학회논문지 Vol.48 No.5
IoT 환경에서 사용자들은 IoT 기기를 활용한 서비스를 제공받을 뿐만 아니라 서비스 매쉬업을 통해 자신만의 애플리케이션을 생성하고자 한다. 이를 위해 시각적인 방식으로 IoT 서비스 매쉬업을 생성하는 방법들이 제안되었으나, 시각적으로 표현되는 매쉬업의 실행 흐름을 이해하는 것은 쉽지 않기 때문에 사용자들은 매쉬업을 만드는 데 어려움을 겪는다. 본 연구에서는 프로그래밍 경험이 없는 일반 사용자들이 IoT 서비스 매쉬업을 생성하도록 자연어를 통해 상호작용하는 대화형 서비스 매쉬업 모델 및 엔진을 제안한다. 대화형 서비스 매쉬업 모델은 사용자 명령을 파악하기 위한 네 종류 키워드로 구성되며, 엔진은 인터랙션 관리자, 시맨틱 매칭 모듈, 서비스 매쉬업 모듈로 구성된다. 본 연구에서는 스마트 홈 환경에서의 시나리오를 바탕으로 사례 연구를 진행하여, 일반 사용자들이 대화형 서비스 매쉬업 모델 및 엔진을 통해 더 쉽고 편리하게 필요한 서비스 매쉬업을 생성할 수 있음을 확인하였다. In Internet of Things (IoT) environments, users not only consume services that are provided by IoT devices, but also create their own service mashup applications. Several visual-based approaches have been proposed to support users in creating IoT service mashups. However, as it is not easy for users to understand the visually-represented execution flow of a service mashup, they often find it difficult to create them. This study proposes a conversational service mashup model and an engine, which end-users without programming experience can use to create IoT service mashups through a natural language. The conversational service mashup model comprises four types of keywords to identify user commands. The service mashup engine comprises an interaction manager, a sematic matching module, and a service mashup module. To evaluate the proposed model, we conduct a case study based on a smart home IoT environment scenario. The study results confirm that end-users can easily use the conversational service mashup model and the engine to create required IoT service mashups.
김상훈(Sanghoon Kim) 한국가족법학회 2007 가족법연구 Vol.21 No.2
It is a tradition for Japanese and Korean to worship their ancestors, and to consider religious services for the worship as important events. It is not rare, even today, to visit their ancestors’ graves in the memory of them. Japanese politicians and lawmakers have intervened that tradition through revising laws. For instance, Myunchi civil law defined a succession of property for ancestor worship as the privileged right of ‘headship(in Korean, “kadok”) inheritance.’ However, after the War, there were a lot of debates and criticisms on that issue. And finally, the revision of law made a family system and ‘headship inheritance’ abolished.<BR> The purpose of this paper is to clarify what kind of debates and criticisms were there, to find out how the law revised at that time, and to search the current theories and case laws on that issue in Japan as well.<BR> I hope that this research and study could suggest the problems and solutions on the regime for a Korean succession of property for ancestor worship.
김상훈(Sanghoon Kim),곽인재(Injae Kwak),변세희(Sehee Byun),김대우(Daewoo Kim) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
This study relates to the design of a vehicle control system for controlling an electric two-wheeler system with a drive device operating at a high voltage. In recent years, Micro-mobility has been gaining traction as the new means of mobility of the future, and it is expected that in the future the adoption of short-range use or non-owned shared vehicles in the mobility market will expand. Among the micro-mobility, electric two-wheelers are eco-friendly and economical, and in addition to this, vehicle sharing must be accompanied by a battery exchange system and data-based services. In this case, the electric two-wheeler system generally consists of 5 sub-systems : the powertrain system, the energy management system, the cooling system, the vehicle control system, and the connectivity system. In order to control such an electric two-wheeler system, it is necessary to design an appropriate system platform for the element system to be controlled and a design process for each controller. In this paper, we have focused on designing a control system architecture and control method to ensure that the control is done appropriately from the perspective that the vehicle control system, which is the top-level controller, views the subsystem as the object of control. The sub-control modules of the vehicle control system were constituted and the functional elements of each module were defined to enable organic cooperative control between the control objects through architectural design and verification according to the V-Process. This is expected to improve the productivity and quality of more diverse and complex electric two-wheeler systems.
얼굴 등록자 인증을 위한 클래스 구별 특징 벡터 기반 서포트 벡터 머신
김상훈(Sanghoon Kim),설태인(Tae in Seol),정선태(Sun-Tae Chung),조성원(Seongwon Cho) 대한전자공학회 2009 電子工學會論文誌-CI (Computer and Information) Vol.46 No.1
얼굴 등록자 인증은 얼굴 인식을 기반으로 인증하고자 하는 사람이 등록자인지, 아닌지를 판별하는 것으로, 기본적으로 2클래스 분류 문제이다. 서포트 벡터 머신(Support Vector Machine, 이하 SVM)은 2 클래스 분류 문제에 효과적인 것으로 잘 알려져 있다. 얼굴 등록자 인증의 분류에 사용되었던 기존의 SVM들은 각 클래스 (등록자 클래스, 미등록자 클래스) 구성원의 얼굴 이미지로부터 추출된 이미지 특징 벡터를 이용하여 훈련되고 인증된다. 이렇게 훈련 세트 구성원들의 이미지 특징 벡터들로 훈련된 SVM은 인증시의 얼굴 이미지가 SVM 훈련 세트의 얼굴 이미지들의 조명, 자세, 표정들과 다른 인증 환경의 경우나 등록자의 가입 및 탈퇴 등으로 등록 클래스나 미등록 클래스의 구성과 크기에 변동이 생기는 인증 환경의 경우에, 강인한 성능을 보이기 어려웠다. 본 논문에서는 강인한 얼굴 등록자 인증을 위하여, 효과적인 클래스 구별 특징 벡터 기반 SVM을 제안한다. 훈련과 인증에 사용되는 특징 벡터는 2개의 클래스를 잘 구별할 수 있는 특성을 반영하도록 선택되었기 때문에 이를 이용하여 훈련된 제안된 SVM은 등록자 클래스 구성의 변화 및 얼굴 이미지에 있어서의 조명, 얼굴 자세, 얼굴 표정의 변화에 덜 영향을 받는다. 실험을 통해 제안된 SVM에 기반을 둔 얼굴 등록자 인증 방법이 기존 SVM에 기반을 둔 방법보다 성능이 더 나으며, 등록자 클래스 구성의 변화에도 강인함을 보였다. Face membership authentication is to decide whether an incoming person is an enrolled member or not using face recognition, and basically belongs to two-class classification where support vector machine (SVM) has been successfully applied. The previous SVMs used for face membership authentication have been trained and tested using image feature vectors extracted from member face images of each class (enrolled class and unenrolled class). The SVM so trained using image feature vectors extracted from members in the training set may not achieve robust performance in the testing environments where configuration and size of each class can change dynamically due to member's joining or withdrawal as well as where testing face images have different illumination, pose, or facial expression from those in the training set. In this paper, we propose an effective class discriminating feature vector-based SVM for robust face membership authentication. The adopted features for training and testing the proposed SVM are chosen so as to reflect the capability of discriminating well between the enrolled class and the unenrolled class. Thus, the proposed SVM trained by the adopted class discriminating feature vectors is less affected by the change in membership and variations in illumination, pose, and facial expression of face images. Through experiments, it is shown that the face membership authentication method based on the proposed SVM performs better than the conventional SVM-based authentication methods and is relatively robust to the change in the enrolled class configuration.