• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.927-929
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• 2021

최근 펫팸족(Pet-Family)과 같이 반려동물을 가족처럼 생각하는 가구가 증가하면서 반려동물 시장이 크게 성장하고 있다. 이러한 이유로 본 논문에서는 반려동물의 객체 식별을 통한 객체 분할과 신체 좌표추정에 기반을 둔 반려동물의 행동 분류 방법을 제안한다. 이 방법은 CCTV를 통해 반려동물 영상 데이터를 수집한다. 수집된 영상 데이터는 반려동물의 인스턴스 분할을 위해 Mask R-CNN(Region Convolutional Neural Networks) 모델을 적용하고, DeepLabCut 모델을 통해 추정된 신체 좌푯값을 도출한다. 이 결과로 도출된 영상 데이터와 추정된 신체 좌표 값은 CNN(Convolutional Neural Networks)-LSTM(Long Short-Term Memory) 모델을 적용하여 행동을 분류한다. 본 모델을 바탕으로 행동을 분석 및 분류하여, 반려동물의 위험 상황과 돌발 행동에 대한 올바른 대처를 제공할 수 있는 기반을 제공할 것이라 기대한다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.11
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• pp.1-7
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• 2009

In this paper, a simple analytical model for deriving the threshold voltage of a short-channel intrinsic-body SDG SOI MOSFET is suggested. Using the iteration method, both Laplace equations in intrinsic silicon body and gate oxide are solved two-dimensionally. Obtained potential distributions in both regions are expressed in terms of fourth and fifth-order of the coordinate perpendicular to the silicon channel direction. Making use of them, the surface potential is obtained to derive the threshold voltage in a closed-form. Simulation results show the fairly accurate dependencies of the threshold voltage on the various device parameters and applied bias voltages.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.281-285
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• 2004

The purpose of this study is to present an effective management model for planning phase of architect office in korea. The research method of this study includes a questionnaire survey and statistical analysis. The results of this study are as follows; The suggested model for planning and management involves business strategy, manpower strategy, technical strategy and marketing strategy. It is verified by correlation analysis and multiple linear regression from the questionnaire survey data.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.54-54
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• 2019

최근 이변량 가뭄 빈도해석시 Copula 함수 기반의 빈도해석모델을 활용한 분석이 이루어지고 있다. 그러나 기존 연구에서는 이변량 가뭄 빈도해석시 지점빈도해석에 국한되어 분석이 이루어지며, 지역을 대표하는 수문자료의 특성이 반영된 빈도분석에 대한 연구는 미진한 실정이다. 이에 본 연구에서는 Bayesian 기법과 이변량 Copula 가뭄 빈도해석 기법을 연계한 Bayesian 이변량 Copula 지역빈도해석 모델을 개발하였다. 개발된 모델에 모의자료를 적용하여 가정한 가뭄특성 및 매개변수를 추정하였으며, 유사하게 도출된 결과를 통해 모델의 적합성을 평가하였다. 최종적으로 최근 발생한 가뭄사례를 중심으로 이변량 가뭄 지역빈도해석을 수행한 결과, 기존 지점빈도해석보다 가뭄의 특성을 효과적으로 반영된 빈도해석이 이루어지는 것을 확인하였으며, 기존 Copula 모델에 Bayesian 기법을 도입하여 매개변수에서 발생하는 불확실성을 정량화 하였다. 본 연구에서 제안된 모델의 검증과정과 도출된 결과를 통해 가뭄자료의 지역적 분포특성 및 자료간의 상관성을 효과적으로 재현하는데 유리할 뿐만 아니라, 매개변수의 불확실성을 평가할 수 있는 장점을 제공할 것으로 판단된다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.90-95
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• 2006

본 논문에서는 개방형 GIS웹서비스의 레지스트리를 구축하기 위해 참조될 수 있는 OGC의 표준들을 중심으로 하여 다양한 GIS 비즈니스의 유형별로 적용 가능한 기술사양과 적합한 구현모델 등을 분석하여 효율적인 GIS 웹서비스 네트워크를 형성할 수 있도록 모델을 제시하고자 한다. 이를 위해 본 논문에서는, GIS 비즈니스 모델을 서비스기반모델에 따라 참여주체를 규정하고 각각의 구성형태에 따른 모델을 분류한다. 또한, 각각의 분류된 모델유형에 대해 GIS웹서비스 레지스트리로서 참조되고 고려되어야 하는 특성들을 도출하여 가능한 분석관점도 함께 제시한다.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.05b
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• pp.913-917
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• 1995

인체내로 흡입된 삼중수소에 의한 영향을 평가하기 위한 기존의 내부피폭 평가 모델들을 검토하고, 이를 사용하여 body water와 OBT에 의한 선량을 계산하였다. 또한 이 모델들의 단점들을 도출하고, 이를 보안하기 위한 방안을 제시하였다.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.461-476
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• 2013

Knowledge maps for science and technology are used extensively in the research projects. However, they are not organized systematically and are not necessarily suitable to be used in the research projects. Therefore, this study aims to organize the knowledge maps in order to support scientific research projects. To this end, the existing knowledge maps for science and technology are classified as one of four types based on data representation methods; the frequency summary map, trend summary map, distribution-based knowledge map and network-based knowledge map. Additionally, by summarizing and classifying the knowledge maps through the principle of 'five w's and one h', the unexplored area are investigated. Finally, some examples of useful knowledge maps in terms of data analysis are provided with details such as definitions, components and utilization purposes. These findings may be a starting point for future research into a better understanding of knowledge maps for science and technology.

• Journal of Animal Environmental Science
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• v.18 no.1
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• pp.9-18
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• 2012

The output of Korea's livestock industry represents about 40% of the total agricultural production, making it the most high value-added sector in the entire agricultural and forestry industry. However, the fatal epidemics such as foot-and-mouth disease and avian influenza spurs demands for the advanced management of livestock production with IT technologies. U-Livestock means the application of ubiquitous technologies to livestock production. In this study, U-Livestock service models are established on the basis of the life cycle of livestock by using local and overseas cases. The objectives, contents, and structures of service models are required to be designed in detail respectively. The integration of such service models is expected to he1p modernize the livestock industry and raise the productivity of sector.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.187-197
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• 2020

Recently, various methods of text embedding using deep learning algorithms have been proposed. Especially, the way of using pre-trained language model which uses tremendous amount of text data in training is mainly applied for embedding new text data. However, traditional pre-trained language model has some limitations that it is hard to understand unique context of new text data when the text has too many tokens. In this paper, we propose self-supervised learning-based fine tuning method for pre-trained language model to infer vectors of long-text. Also, we applied our method to news articles and classified them into categories and compared classification accuracy with traditional models. As a result, it was confirmed that the vector generated by the proposed model more accurately expresses the inherent characteristics of the document than the vectors generated by the traditional models.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.6
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• pp.577-582
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• 2016

In this study, a multiscale method for solving a thermoelasticity problem for interphase in the polymeric nanocomposites is developed. Molecular dynamics simulation and finite element analysis were numerically combined to describe the geometrical boundaries and the local mechanical response of the interfacial region where the polymer networks were highly interacted with the nanoparticle surface. Also, the micrmechanical thermoelasticity equations were applied to the obtained equivalent continuum unit to compute the growth of interphase thickness according to the size of nanoparticles, as well as the thermal phase transition behavior at a wide range of temperatures. Accordingly, the equivalent continuum model obtained from the multiscale analysis provides a meaningful description of the thermoelastic behavior of interphase as well as its nanoparticle size effect on thermoelasticity at both below and above the glass transition temperature.