• 한국인터넷방송통신학회논문지
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• 제8권4호
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• pp.119-125
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• 2008

스마트 기기의 컨버전스를 위한 기존의 방법은 미들웨어를 사용하여 소프트웨어를 통합하는 것이다. 미들웨어를 사용하면 쉽고 빠르게 통합이 가능한 장점이 있다. 하지만 미들웨어는 기본적으로 소프트웨어가 크기 때문에 수행 속도가 느리다. 이러한 단점을 극복하기 위해 본 논문에서는 컨버전스를 위한 모델링 도구를 제안한다. 제안하는 모델링 도구는 모델 단계에서 컨버전스를 수행하고 자동코드를 생성하여 미들웨어 없이 소프트웨어의 컨버전스가 가능 하게 한다. 적용사례로서 u-Home 환경의 텔레비전과 도어락 시스템의 컨버전스를 보여주었다. 미들웨어를 사용하지 않아 저렴한 비용으로 스마트 기기의 컨버전스를 수행하였고 사용자가 원하는 컨버전스 제품을 빠르게 개발할 수 있었다.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.183-190
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• 2019

In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.

• Journal of International Society for Simulation Surgery
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• 제2권2호
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• pp.47-51
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• 2015

Faces play a key role in revealing the personalized attributes such as the identity, emotion, health condition, etc. Due to the importance of faces, computer-assisted face modeling and reconstruction have been actively studied both in computer vision and graphics community. Especially, face reconstruction and realistic face synthesis are well-grounded research problems and various approaches have been proposed during the last decade. In this paper, we discuss a wide range of existing work in face modeling by introducing their target applications, categorizing them upon their methodology and addressing their strength and weakness on performance. Finally, we introduce remaining research issues and suggest the future research direction in face modeling. We believe that this paper provides a high-level overview on face modeling techniques and helps understand the major research issues and the trends of methodology.

• 한국융합학회논문지
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• 제12권7호
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• pp.207-220
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• 2021

4차 산업혁명의 변화 속에서 새로운 성장 동력을 확보하기 위해 융합기술의 중요성이 강조되면서 다양한 형태로의 산업 융합이 이루어지고 있다. 산업 융합은 다수 동인에 의해 여러 형태로 발현되기 때문에 이러한 융합의 특성을 파악하고 흐름을 이해한다면 효과적인 융합 정책을 수립하고 추진할 수 있을 것이다. 이에 본 연구는 특허정보를 활용하여 이종 분야 간 지식의 흐름을 분석하여 기술의 융합 형태를 유형화하고 유형별 특성을 파악하는 것을 목적으로 한다. 이를 위해 첫째, 특허문서의 토픽모델링을 통해 핵심 융합 기술분야를 도출한다. 둘째, 해당 기술분야를 구성하는 이종기술별 특허 건수와 이들 간 특허 인용 분석을 통해 융합과정에서의 지식의 규모와 흐름을 파악한다. 마지막으로, 지식의 규모와 흐름에 따라 융합의 유형을 상생융합, 부분융합, 흡수융합으로 구분하고, 해당 기술분야가 어떠한 유형에 속하는지 판단하고자 한다. 제안된 접근법은 이종 기술간 융합이 활발한 의료기기 산업을 대상으로 사례연구를 수행하여 활용 가능성을 검토하였다. 연구 결과는 향후 기업에서 융합 기반의 신사업 기회 창출이나 정부 등 여러 기관에서 융합을 토대로 한 정책 마련 시 기초자료로서 유용하게 활용될 것으로 기대한다.

• 한국ITS학회 논문지
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• 제20권6호
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• pp.331-345
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• 2021

시뮬레이션 기반 가상 검증은 자율주행 기능의 안전성 검증을 위한 주요 요구사항으로 간주되고 있다. 가상 검증 환경에서는 자율주행차량과 주행 환경은 모두 모델링되어야 하며 특히, 카메라 및 레이더 센서와 같은 환경 센서의 현실적인 모델링이 중요하다. 하지만 현실적인 인식 결과를 일관되게 제공하기 위한 모델링에 관한 연구는 부족한 실정이다. 이에 본 논문에서는 MILS(Model in the Loop Simulation) 환경에서 현실적인 오브젝트 인식 결과를 제공하기 위한 센서 모델링 방법이 다루어진다. 먼저, 모델링을 위한 주요 파라미터가 정의되며 카메라 및 레이더 센서의 오브젝트 감지 특성이 분석된다. 분석 결과로부터 모델링된 가상 센서 모델의 감지 특성은 실물 센서와의 상관계수 분석을 통해 유효성이 검증된다.

• 한국안전학회지
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• 제36권3호
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• pp.60-65
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• 2021

Human error is often in part in the cause of accidents and the result of various factors in an organization. Accidents should be investigated to elucidate all causes. Therefore, to reduce accidents, it is necessary to identify which factors affect human error within the organization. In this study, five groups of influencing factors on human error were selected using previousresearch, and operational definitions were made based on them. In addition, a questionnaire for measuring latent variables by operational definition was developed as an observation variable, and responses were received from employees of chemical companies in Ulsan. Based on SEM (structural equation modeling) analysis, 1) confirmatory factor analysis of variables in the human error model, 2) reliability and validity of latent variables, 3) correlations among latent variables, 4) influencing coefficients among influence factors, and 5) the verification results of the paths that these influencing factors have on human error are introduced in this study.

• Geomechanics and Engineering
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• 제14권4호
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• pp.325-336
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• 2018

Deformation of rock masses is not only related to rock itself, but also related to discontinuities, the latter maybe greater. Study on crack propagation at discontinuities is important to reveal the damage law of rock masses. DDARF is a discontinuous deformation analysis method for rock failure and some modified algorithms are proposed in this study. Firstly, coupled modeling methods of AutoCAD-DDARF and ANSYS-DDARF are introduced, which could improve the modeling efficiency of DDARF compared to its original program. Secondly, a convergence criterion for automatically judging the computation equilibrium is established, it could overcome subjective drawbacks of ending one calculation by time steps. Lastly but not the least, relationship between the super relaxation factor and the calculation convergence is analyzed, and reasonable value range of the super relaxation factor is obtained. Based on these above modified programs, influences on crack propagation of joint angle, joint parameters and geo-stresses' side pressure are studied.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.327-329
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• 1992

This Paper presents an algorithm for improvement of convergence in Adaptive Filter. The proposed algorithm employes the time-varying Convergence Factor to Block LMS adaptation algorithm. Computer simulation for Adaptive Modeling of time-invarying and time-varying unknown systems has been performed. Performance comparisons between LMS, BLMS algorithms which have fixed Convergence factors obtained by trial and error and the proposed algorithm which has time-varying Convergence Factor show that the proposed algorithm is superior to LMS and BLMS algorithm with respect to speed and accuracy of adaptation.

• 설비공학논문집
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• 제25권4호
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• pp.216-224
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• 2013

Facility data is created throughout the design and construction phase. But the most facility managers bear significant costs that arise from the lack of interoperability with facility lifecycle. This paper is concerned with the way to collect facility data using BIM technology. The aim of this paper is to suggest BIM data modeling guide for the facility management using the information that need to be delivered from design and construction phase to operation and management phase. The BIM data modeling guide focus on the properties of mechanical equipment. It is to be hoped that this study will contribute to collect facility data from as-built BIM data and to build facility management system database without difficulty.

• 한국산업융합학회 논문집
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• 제27권3호
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• pp.635-644
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• 2024

Although the business model(BM) patents act as a creative bridge between technology and the marketplace, limited scholarly attention has been paid to the content analysis of BM patents. This study aims to contextualize converging BM patents by employing topic modeling technique and clustering highly marketable topics, which are expressed through a topic-market impact matrix. We relied on BM patent data filed between 2010 and 2022 to derive empirical insights into the commercial potential of emerging business models. Subsequently, nine topics were identified, including but not limited to "Data Analytics and Predictive Modeling" and "Mobile-Based Digital Services and Advertising." The 2x2 matrix allows to position topics based on the variables of topic growth rate and market impact, which is useful for prioritizing areas that require attention or are promising. This study differentiates itself by going beyond simple topic classification based on topic modeling, reorganizing the findings into a matrix format. T he results of this study are expected to serve as a valuable reference for companies seeking to innovate their business models and enhance their competitive positioning.