• 한국멀티미디어학회논문지
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• 제16권7호
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• pp.879-887
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• 2013

최근 다변화된 웹 환경에서 기존의 정보그래픽 사용성 연구 및 평가 방법론들은 새로운 사용자 경험환경에 적용하는 데 근본적인 한계를 가진다. 다양한 정보 사용자 환경을 고려한 효과적인 웹 디자인을 위해서는 무엇보다 '정보의 단순화와 함축'이 잘 이루어진 인포그래픽 디자인의 사용성에 대한 연구가 필요하다. 본 연구의 목표는 웹 기반 인포그래픽 디자인의 확장성을 이해하고 개념을 재정립하며, 사용성 평가요소를 도출함으로써 이를 통해 효과적인 사용자 경험 데이터를 획득하고자 하는 것이다. 본 연구는 향후 지속적으로 변화하는 스마트 미디어 환경에서 다양한 정보 분야의 융합을 통한 유형별 경험별 데이터와의 연관성을 밝히는 데 기반 연구로 활용될 수 있을 것으로 기대한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.327-336
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• 2004

In distributed autonomous mobile robot system, each robot (predator or prey) must behave by itself according to its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot have both learning and evolution ability to adapt to dynamic environment. This paper proposes a pursuing system utilizing the artificial life concept where virtual robots emulate social behaviors of animals and insects and realize their group behaviors. Each robot contains sensors to perceive other robots in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used for behavior decision controller. The input of the neural network is decided by the existence of other robots and the distance to the other robots. The output determines the directions in which the robot moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation. Besides, in this paper, we could have observed the robots' emergent behaviors during simulation.

• Journal of Information Technology Applications and Management
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• 제30권1호
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• pp.53-70
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• 2023

Artificial intelligence has become familiar with modern society, not the distant future. As artificial intelligence and machine learning developed more highly and became more complicated, it became difficult for people to grasp its structure and the basis for decision-making. It is because machine learning only shows results, not the whole processes. As artificial intelligence developed and became more common, people wanted the explanation which could provide them the trust on artificial intelligence. This study recognized the necessity and importance of explainable artificial intelligence, XAI, and examined the trends of XAI research by analyzing social networks and analyzing topics with IEEE published from 2004, when the concept of artificial intelligence was defined, to 2022. Through social network analysis, the overall pattern of nodes can be found in a large number of documents and the connection between keywords shows the meaning of the relationship structure, and topic modeling can identify more objective topics by extracting keywords from unstructured data and setting topics. Both analysis methods are suitable for trend analysis. As a result of the analysis, it was found that XAI's application is gradually expanding in various fields as well as machine learning and deep learning.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권12호
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• pp.6092-6115
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• 2017

This paper demonstrates a case for an end-to-end pure Application Security Layer for reliable and confidential communications within an Internet of Things (IoT) constrained environment. To provide a secure key exchange and to setup a secure data connection, Transport Layer Security (TLS) is used, which provides native protection against replay attacks. TLS along with digital signature can be used to achieve non-repudiation within app-to-app communications. This paper studies the use of TLS over the JavaScript Object Notation (JSON) via a The Constrained Application Protocol (CoAP) RESTful service to verify the hypothesis that in this way one can provide end-to-end communication flexibility and potentially retain identity information for repudiation. As a proof of concept, a prototype has been developed to simulate an IoT software client with the capability of hosting a CoAP RESTful service. The prototype studies data requests via a network client establishing a TLS over JSON session using a hosted CoAP RESTful service. To prove reputability and integrity of TLS JSON messages, JSON messages was intercepted and verified against simulated MITM attacks. The experimental results confirm that TLS over JSON works as hypothesised.

• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.1328-1334
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• 2015

A new system for evaluating the voltage management errors of distribution equipment is presented in this paper. The main concept of the new system is to use real distribution live-line voltage to evaluate and correct the voltage measurement data from distribution equipment. This new approach is suitable for a new Distribution Management System (DMS) which has been developed for a distribution power system due to the connection of distributed generation growth. The data from distribution equipment that is installed at distribution lines must be accurate for the performance of the DMS. The proposed system is expected to provide a solution for voltage measurement accuracy assessment for the reliable and efficient operation of the DMS. An experimental study on actual distribution equipment verifies that this voltage measurement accuracy assessment system can assess and calibrate the voltage measurement data from distribution equipment installed at the distribution line.

• 한국전산구조공학회논문집
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• 제13권2호
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• pp.209-220
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• 2000

보강된 판 및 쉘구조의 기하학적 비선형해석을 수행하기 위하여, total lagrangian formulation에 근거한 증분 평형방정식을 적용하고, 강도행렬 산정시 회전각의 2차항을 포함시켜 기하학적 비선형 해석시 해의 수렴성을 향상시켰으며, 보강된 쉘 구조의 해석시 보강재를 쉘 요소로 모델링하고 주부재와 보강재의 연결점에서 일반적인 변환관계를 이용하였다. 등매개 쉘 유한요소의 단점인 locking 현상을 극복하기 위하여 가정 변형률장을 적용하여 감차적분 또는 선택적분시 나타날 수 있는 제로 에너지 모드를 제거하였다. 수치해석 예제를 통하여 가정 변형률장에 근거한 쉘유한요소에 대한 효율성 및 적용성을 확인하였다.

• 한국지반공학회논문집
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• 제21권1호
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• pp.51-58
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• 2005

최근 국내에서는 지오그리드를 사용한 블록형 보강토옹벽 및 교대 옹벽등의 시공이 급속히 증가하는 추세에 있다. 보강토 공법 및 블록형 옹벽의 개념은 역사적으로 상당히 오래된 개념으로 기원전 $2,500{\sim}3,000$년경에 고대 바빌로니아에서 현재의 보강토 공법과 유사한 방법을 사용하였다. 현재 사용되고 있는 블록형 전면블록은 1960년경에 미국에서 콘크리트 크립(crib) 옹벽시스템으로 소개된 이래 활발히 사용되어 왔다. 본 논문에서는 다양한 실험을 통해 보강토 옹벽용 전면블록과 지오그리드 사이의 마찰특성 평가를 수행하였다.

• Journal of Welding and Joining
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• 제25권6호
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• pp.44-52
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• 2007

A welding process of a lifting lug for lifting heavy objects is one of the important welding processes directly related to the safety in shipbuilding. Welding a lifting lug is done in the manually and takes about forty minutes. Working environment for the lifting lug welding is very poor due to an radiant heat and a harmful fume. The purpose of this study is to develop methods of multi-pass welding using the lifting lug welding robot system. This study shows robot welding methods to achieve proper corner, straight and connection welding and an effectiveness of application.

• Nuclear Engineering and Technology
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• 제35권2호
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• pp.108-120
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• 2003

In assessing the long term post closure radiological safety assessment of a potential HLW repository in Korea, three categories of uncertainties exist. The first one is the scenario uncertainty where series of different natural events are translated into written statements. The second one is the modeling uncertatinty where different mathematical models are applied for an identical scenario. The last one is the data uncertainty which can be expressed in terms of probabilistic density functions. In this analysis, three different scenarios are seleceted; a small well scenario, a radiolysis scenario, and a naturally discharged scenario. The MASCOT-K and the AMBER, probabilistic safety assessment codes based on connection of sub-modules and a compartment theory respectively, are applied to assess annual individual doses for a generic biosphere. Results illustrate that for a given scenario, predictions from two different codes fairly match well each other But the discrepancies for the different scenarios are significant. However, total doses are still well below the guideline of 2 mRem/yr. Detailed analyses with model and data uncertainties are underway to further assure the safety of a Korean reference dispsoal concept.

• 한국전자통신학회논문지
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• 제17권6호
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• pp.1283-1292
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• 2022

현재 보건의료 분야에서 여러 인공지능 프로젝트가 서로 경쟁하고 있어서 시스템 간 인터페이스의 통일된 사양이 부족한 상황이다. 이에 본 연구에서는 보건의료 부문 관련 응용 알고리즘, 모델 및 서비스 지원을 제공할 수 있는 하나의 보건의료 인공지능 서비스 플랫폼을 제안한다. 제안된 플랫폼은 다수의 이기종 데이터 처리, 지능형 서비스, 모델 관리, 일반 응용 시나리오 및 다양한 수준의 비즈니스를 위한 기타 서비스를 제공할 수 있다. 플랫폼 적용과 관련해서 최근 대두되고 있는 행위 인터넷 개념을 바탕으로 보건의료 분야의 사물 인터넷 서비스 관련 환자 행위 분석을 통해 보건의료 소비 행위에 대해 신뢰할 수 있고, 이해 가능한 추적 및 분석 시나리오를 나타낸다.