• 대한조선학회논문집
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• 제32권4호
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• pp.9-18
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• 1995

국내에서 사용되고 있는 CAD/CAM 시스템들은 모두 도입한 제품들로, 그 구조가 폐쇄형으로 되어있기 때문에, 원천기술을 갖고있지 못한 후발 개발자들은 그 내부구조를 파악하기 어렵다. 근래에 정보기술분야에서 개방형 구조를 갖는 시스템들이 등장하여 좋은 기회를 제공하고 있다. 이 글에서는 개방형 구조를 갖는 형상모델러를 개발하기 위하여 그 시스템설계를 수행한 내용을 소개한다. 기존의 유사한 형상모델러들을 조사분석하여, 새로운 시스템이 갖추어야하는 기능들을 파악하였으며, 공학설계의 전 과정을 형상모델러가 유연하게 지원하기 위하여 복합다양체를 지원하는 자료구조를 갖는 것이 필요하다고 판단하였다. 이를 토대로 개방형 구조를 갖는 형상모델러의 골격에 대한 기준모델이 제안되었다. 이러한 기준모델과 자료구조, 그리고 공통의 개발환경은 시스템 개발을 위한 여러 사람의 참여와, 업무분담, 그리고 분담개발된 요소기능들의 통합을 지원하는 유효한 수단이 될 것이다.

• 한국인터넷방송통신학회논문지
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• 제21권6호
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• pp.123-128
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• 2021

직류 배전시스템의 보급이 증가됨에 따라 이에 따른 고장 발생 및 화재 사고도 증가하고 있고 특히 스마트 그리드의 구성 요소인 ESS 화재 사고, 직류 시스템인 태양광 발전 시스템의 화재 사고는 신재생에너지의 보급이 급격하게 증가하고 동시에 사용 연수 10년 이상의 노후 시설이 많아짐에 따라, 시스템 구성 요소 간의 전기적인 접속의 문제들로 발생하고 있다. 이로 인해 유발된 빛과 열을 방출하여 직접적인 화재의 원인이 될 수 있는 아크가 화재의 한 원인으로 지적되고 있다. 따라서 이러한 아크 결함의 문제는 기존의 과전류차단기와 누전차단기로는 아크사고를 사전에 차단할 수 없는 실정이며 대규모 유틸리티 시스템뿐만 아니라 소규모 주거 시스템에서도 인간의 안전에 중대한 위협이 될 수 있기에 아크사고에 대한 대책이 필요하다. 본 논문에서는 국제표준화에 만족하는 시험장비 개발과 아크 발생에 따른 고장 및 화재를 보호하기 위한 직류 아크 Generator를 개발 하고자 한다.

• Structural Engineering and Mechanics
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• 제69권4호
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• pp.407-416
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• 2019

This paper develops a wireless sensor for online fatigue crack detection and failure warning based on crack-induced nonlinear ultrasonic modulation. The wireless sensor consists of packaged piezoelectric (PZT) module, an excitation/sensing module, a data acquisition/processing module, a wireless communication module, and a power supply module. The packaged PZT and the excitation/sensing module generate ultrasonic waves on a structure and capture the response. Based on nonlinear ultrasonic modulation created by a crack, the data acquisition/processing module periodically performs fatigue crack diagnosis and provides failure warning if a component failure is imminent. The outcomes are transmitted to a base through the wireless communication module where two-levels duty cycling media access control (MAC) is implemented. The uniqueness of the paper lies in that 1) the proposed wireless sensor is developed specifically for online fatigue crack detection and failure warning, 2) failure warning as well as crack diagnosis are provided based on crack-induced nonlinear ultrasonic modulation, 3) event-driven operation of the sensor, considering rare extreme events such as earthquakes, is made possible with a power minimization strategy, and 4) the applicability of the wireless sensor to steel welded members is examined through field and laboratory tests. A fatigue crack on a steel welded specimen was successfully detected when the overall width of the crack was around $30{\mu}m$, and a failure warnings were provided when about 97.6% of the remaining useful fatigue lives were reached. Four wireless sensors were deployed on Yeongjong Grand Bridge in Souht Korea. The wireless sensor consumed 282.95 J for 3 weeks, and the processed results on the sensor were transmitted up to 20 m with over 90% success rate.

• 대한건축학회논문집:계획계
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• 제35권9호
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• pp.29-40
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• 2019

The concept of smart city is understood as an indispensable component of urban regeneration projects in small cities in terms of providing a better urban environment and efficient living systems with a limited budget. Recently, the Korean government revised the law that related to the construction of the smart city and started to implement the smart city concept not only to new-large urban development but also to small-existed regeneration projects. However, it is difficult for small and medium-sized cities that are suffering from the insufficient professional workforce; knowledge supports for high-tech and lack of professional networks to proceed smart city planning and project that containing regional characteristics. This paper aims to examine the effective way of urban regeneration for small and medium-sized cities through smart city planning and strategy. As an important case, this paper looks at the 'Smart City Challenge' competition that was hosted by the US Department of Transportation in 2015. It examines the background and operation process of the smart city challenge competition, and then analyses each city's strategy and characteristics of seven finalists. This paper highlights the several key lessons to Korean cities: 1) the importance of national government's support in financial and professional resources; 2) the cooperation with local governments and IT corporations which provides realistic and detailed technical solutions; 3) the holistic and integrated approach to urban regeneration starting from transportation issues; 4) the necessity of the government's clear visions and guidelines toward the smart city.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.139-150
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• 2021

Object orientation has become the predominant paradigm for conceptual modeling (e.g., UML), where the notions of class and object form the primitive building blocks of thought. Classes act as templates for objects that have attributes and methods (actions). The modeled systems are not even necessarily software systems: They can be human and artificial systems of many different kinds (e.g., teaching and learning systems). The UML class diagram is described as a central component of model-driven software development. It is the most common diagram in object-oriented models and used to model the static design view of a system. Objects both carry data and execute actions. According to some authorities in modeling, a certain degree of difficulty exists in understanding the semantics of these notions in UML class diagrams. Some researchers claim class diagrams have limited use for conceptual analysis and that they are best used for logical design. Performing conceptual analysis should not concern the ways facts are grouped into structures. Whether a fact will end up in the design as an attribute is not a conceptual issue. UML leads to drilling down into physical design details (e.g., private/public attributes, encapsulated operations, and navigating direction of an association). This paper is a venture to further the understanding of object-orientated concepts as exemplified in UML with the aim of developing a broad comprehension of conceptual modeling fundamentals. Thinging machine (TM) modeling is a new modeling language employed in such an undertaking. TM modeling interlaces structure (components) and actionality where actions infiltrate the attributes as much as the classes. Although space limitations affect some aspects of the class diagram, the concluding assessment of this study reveals the class description is a kind of shorthand for a richer sematic TM construct.

• 한국전자통신학회논문지
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• 제18권1호
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• pp.107-114
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• 2023

본 연구는 건축 부재 사용량 예측을 위한 인공지능 기반의 학습모델을 설계 및 구현하는 방법에 대하여 기술하였다. 인공지능(Artifical intelligence : AI) 은 기술의 발전에 힘입어 다양한 분야에서 폭넓게 활용되고 있지만, 건축설계분야 데이터의 특수성 및 빅데이터 수집의 어려움으로 인해 현장 활용도가 매우 저조한 상태이다. 따라서 건축설계분야에서 인공지능 기술을 도입할 수 있도록 건축 부재 단위의 AI문제를 발굴해 내었으며, 해당분야 데이터가 가지는 특이성을 해결하기 위한 새로운 전처리 기법을 고안하였다. 고안된 전처리 기법을 토대로 인공지능 모델을 구현하였고, 구현된 인공지능 모델의 건축 부재 사용량 예측 정확도가 실제 산업에 사용할 수 있는 수준임을 확인하였다.

• 대한물리의학회지
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• 제18권3호
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• pp.121-133
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• 2023

PURPOSE: Computerization using ICF as a protocol can enhance the assessment, communication, and decision-making of various disciplines and cultures, individual functions, disabilities and health to promote communication and understanding among various professionals, organizations, and countries. The empirical foundation for these propositions was provided by delineating of six distinct computerization components. METHODS: This study analyzed 14 papers that combined the medical field and information technology to activate the ICF through computerization. From each of these papers, distinctive advantages were extracted to propose six computerization elements. The validity of these computerization elements was examined. These papers encompass various computerization elements, among which core elements were identified. In particular, six common core elements were extracted from these papers and assumed to be strategic computerization components for ICF activation. A heuristic methodology was employed to validate these components, representing IT technology maturity using four determining indices, which were then presented graphically for validation attempts. RESULTS: Four quantified indices were defined: reliability, cost-effectiveness, support and updates, and collaboration. Using these indices, this study identified elements that leverage existing IT technologies and require new development. The possibility of increasing utility was identified by applying computerization to ICF. CONCLUSION: This study examined the strategic elements of utilizing ICF by computerizing it using a protocol concept and discussed its potential for utilization. The potential to enhance the value of information in social, physical, and cultural contexts was presented by integrating various domains and data within the ICF framework.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1396-1412
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• 2023

Conversation modeling is an important and challenging task in the field of natural language processing because it is a key component promoting the development of automated humanmachine conversation. Most recent research concerning conversation modeling focuses only on the current utterance (considered as the current question) to generate a response, and thus fails to capture the conversation's logic from its beginning. Some studies concatenate the current question with previous conversation sentences and use it as input for response generation. Another approach is to use an encoder to store all previous utterances. Each time a new question is encountered, the encoder is updated and used to generate the response. Our approach in this paper differs from previous studies in that we explicitly separate the encoding of the question from the encoding of its context. This results in different encoding models for the question and the context, capturing the specificity of each. In this way, we have access to the entire context when generating the response. To this end, we propose a deep neural network-based model, called the Context Model, to encode previous utterances' information and combine it with the current question. This approach satisfies the need for context information while keeping the different roles of the current question and its context separate while generating a response. We investigate two approaches for representing the context: Long short-term memory and Convolutional neural network. Experiments show that our Context Model outperforms a baseline model on both ConvAI2 Dataset and a collected dataset of conversational English.

• 분석과학
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• 제22권1호
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• pp.57-64
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• 2009

이 연구에서는 건축자재로부터 방출되는 휘발성유기화학물과 폼알데하이드의 오염물질 방출강도를 포함하는 데이터베이스를 개발하였다. 건축자재 분류체계는 환경부와 한국공기청정협회에서 사용하는 분류체계와 연계하여 세분류하여 정립하였다. 개발된 데이터베이스는 각 건축자재로부터 방출되는 총휘발성유기화합물과 5가지 휘발성유기화합물, 그리고 폼알데하이드의 방출강도를 포함하며 화학적 성분 및 일반적인 정보를 함께 포함하기 때문에 평가 모델링을 통한 실내공기질 예측에 입력변수로 사용 가능하다. 건축자재 분류별 폼알데하이드와 총휘발성유기화합물의 방출강도를 box plot을 이용해 통계적 분석을 하였다. 또한 각 분류별 오염물질의 방출특성을 확인함으로써, 실내공기질을 악화시키는 주된 원인이 되는 건축자재를 확인 할 수 있었다.

• 한국식생활문화학회지
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• 제22권1호
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• pp.104-114
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• 2007

This research entailed collecting domestic and overseas research papers on technologies for fermentation of Kimchi, which is widely considered the national dish of Korea, creating a technology classification structure and conducting quantitative analysis on each technology component and schematization. Five research papers were published in domestic journals in 1990. Afterwards, the number increased by six to nine papers a year. There was no clear increase after the year 2000, but an average of around 20 papers have been Published every year, indicating that Kimchi research is now becoming widespread. An analysis on researchers entailed determining the percentage of research papers published by the top ten authors. The percentage was 76% in the early-1990s; 63% in the late-1990s; and 52% in the 2000s, indicating that Kimchi has been more and more widely researched and Kimchi research has become professionalized. Universities were found to be leading the research as 52% of researchers belonged to universities. Another 9% were at research institutions. Analysis of technologies showed that domestic research mainly focused on the Kimchi fermentation process and an additive for the development of new Kimchi ingredients and types, preservation and quality improvements. Most of the research papers published overseas dealt with the functions of bacteria strains isolated from Kimchi; and improvements in the Kimchi fermentation and ripening processes. And most of the research papers have been published in a field of microorganism and biotechnology.