• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.115-116
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• 2017

In this paper, we propose a standardization strategy for next generation electronic navigational chart which can be classified as S-100 Universal Hydrographic Data Model, to accept various requirements arising from various marine information and services as well as support e-navigation service strategies. IMO uses the next generation electronic chart standard, S-100 as Common Maritime Data Structure. It means that a common data model is needed as a key element for realization of e-Navigation and also points out that a new ICT convergence paradigm is needed not only for marine safety but also for maritime information and services. this paper considers he model-based data representation and reference model in order to understand the content and use of the S-100 standard and also considers the interconnectivity and role of the ISO/TC211 standards, which are being used as base standards for profiling to develop S-100 standard. Finally, we look at what standardization items are required for standardization of next generation electronic navigational chart supporting multi-purpose and how they are used mutually.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.299-308
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• 2014

Various literatures related computing of information processing have been recently shown the researches inspired from the remarkably excellent human capabilities which recognize and categorize very complex visual patterns such as body motions and facial expressions. Applied from human's outstanding ability of perception, the classification function of visual sequences without context information is specially crucial task for computer vision to understand both the coding and the retrieval of spatio-temporal patterns. This paper presents a biological process based action recognition model of computer vision, which is inspired from visual information processing of human brain for action recognition of visual sequences. Proposed model employs the structure of neural fields of bio-inspired visual perception on detecting motion sequences and discriminating visual patterns in human brain. Experimental results show that proposed recognition model takes not only into account several biological properties of visual information processing, but also is tolerant of time-warping. Furthermore, the model allows robust temporal evolution of classification compared to researches of action recognition. Presented model contributes to implement bio-inspired visual processing system such as intelligent robot agent, etc.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.57-88
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• 2014

The 'Grand Challenge' in the global level raises fundamental questions on the role of private firm as a profit maximizer. From the new perspective, firms are recognized as a social entity with social and environmental responsibility. Particularly, the importance of transition-orineted firms, which pursue an objective of socio-technological system transition, have increased. These environmental changes request a new understanding on the identification of firms and the evolution of sustainable business model from the technological innovation perspectives. This paper aims on the new understanding on the motivation of firms who participated on the sustainable system transition and the proposal of 'transition-oriented firms' concept. Based on literature survey, this paper reviews the role of firms in the process of socio-technological system transition, the cases of transition-oriented firm, the types of sustainable business models and their strategies.

• Journal of the Korean earth science society
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• v.34 no.7
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• pp.662-668
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• 2013

We examine the effects of El Ni$\tilde{n}$o on tropospheric ozone through the simulation of a Climate-Chemistry model for a 40-year period (1971-2010). The Empirical Orthogonal Function (EOF) analysis reveals that the tropospheric ozone concentration in the central-eastern Pacific decreases when the El Ni$\tilde{n}$o occurs, which is consistent with the observation. However, the increase of ozone over Indian Ocean-Indonesia regions is weak in the simulation compared to the observations. We analyze details of the 2006 El Ni$\tilde{n}$o event to understand the mechanism that caused the change of ozone due to El Ni$\tilde{n}$o. It is found that enhanced convection as well as higher water vapor followed by shortened lifetime has led to lower the tropospheric ozone. Downward motion induced by the changes of atmospheric circulation due to sea surface temperature forcing, together with the decrease of water vapor, has brought ozone produced in the upper troposphere over the Indian Ocean.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.12
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• pp.36-44
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• 2012

We had introduced the backgrounds, history and physical meanings of Jong Nang in "Jeju Jong Nang Channel Code I". In this paper, we introduce practical the root of digital human binary coded Jong Nang communications as the wooden gate in Korea Jeju Island custom. We investigate Jong Nang gatemodels as an approximation of the AWGN model. The objective is to find a deterministic model, which is accessible to capacity analysis. Furthermore, this analysis should provide insights on the capacity of the AWGN model. Motivated by backhaul cooperation in cellular networks where cooperation is among base stations, we term the interference channel with conferencing transmitters. Jong Nang communicationsis normal 3 rafters placed on two vertical stones with three holes to convey the family's whereabouts that is deterministic signal, nowadays it is applied to backhaul in mobile base station and traffic signal.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.7
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• pp.701-707
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• 2011

The aim of this paper is to develop a collaborative design system that can facilitate remote modification and control of a 3D solid model through the Internet. It enables the users to resolve conflicting viewpoints about an issue and collaborate to design a tangible object within a given set of constraints. In order to optimize the collaborative design system, we focus on the results obtained by using the collaborative design method for the real-time modification of a 3D solid model in a distributed environment. It also provides the method of managing the consistency between design entities. The efficiency of the system is verified by implementing it in a distributed environment.

• 한국벤처창업학회:학술대회논문집
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• 2016.04a
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• pp.67-69
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• 2016

이 연구는 경영학과 MBA교육과정이 세상의 모든 제품과 기업에 공통적으로 적용되듯이, 세상의 어떤 분야의 제품이든 그 시작인 한 개 착안에서부터 시장력 확보를 위해 시도 되는 도전행위의 매개인 모든 착안과 아이디어가 기업이 되는 과정인 제벤처행위에 공통적으로 적용되는 학문이 될, MVA(PH-MVA, master of venture arming, 벤처무장학)학의 개념적 모델링의 시작에 필요로하는 정의론과 개념론으로, MBA에 있어 경영학원론이 개론화되듯, MVA에 있어 그 개론서가 될 벤처학원론서 설계에 있어서의 시작인 1편 기초론을 구성하는 내용을 벤처창업이나 기업의 신제품개발 부서에의 취업을 희망하는 학생들과 제벤처 생태계의 모든 직간접 관련 직무자 들이 공통적으로 무장하면 벤처적 행위에 필요로하는 여러 가지 직무자들 같이 소통력은 물론 직무매칭력 등의 분업 협업력이 매우 높아 질 것이라는 주장을 바탕으로한다. 그리고 제시하는 정의와 개념을 제벤처 생태계 전체의 표준으로 참고 삼아, 누구의 어떤 모델이든, 창조경제의 일부로서 미생들의 벤처(창업, 기업만들기 도전)행위나 완생기업들의 신제품개발 모두에 두루 적용 될 수 있는, 누구나가 이해, 공감, 교감, 습득이 용이한 벤처학 개발이 왕성하게 활성화될 수 있도록 하는 것이 곧 창조경제 활성화를 위한 학자들의 사명이자 새로운 성장동력 모델의 발굴이기도하다는 측면에서의 동참이 될 수 있기를 바라는 마음이다. 아울러, 이러한 정의와 개념을 바탕으로 전개되어, 벤처생태계 전반에서 수행 될 교육이 개인들의 창업(기업만들기)을 목표로하는 공부가 되기도하고 연장에, 완생기업들이 필요로하는 신제품개발에 있어서의 기본적인 능력과 자질을 갖춘 인재선발적 취업준비공부도 될 수 있는 통합적 교육이되어야한다는 취지를 가지고있다. 또 연구를 통해 제벤처(기업의 신제품개발 도전협업행위 포함) 생태계에서의 직무자들의 직무매칭력 및 협업행위에 있어서의 다양한 용어와 정의와 개념들의 제각각으로 부터 발생되는 상치(相馳, 제각각, 불통, 협업마찰, 대립, 갈등, 등)력을 해소하는 것이 역설적으로 협업력을 최적으로 활성화 할 수 있다는 사실을 모두가 인지, 수용토록 하고자 함을 목적으로한다. 이러한 연구를 전벤처단계의 벤처기초학을 바탕으로하는 제벤처생태계 개념을 일원화 통합화하는 연장에 전개되는 공통무장교육 모델화를 목적으로한다.

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1184-1195
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• 2006

The Internet has brought many changes in our daily lives. Now the recognition on the Internet fashion shopping matt has increased and it requires scientific and systematic research to understand the Internet fashion marketing system more correctly and to strengthen the marketing activity at the virtual space. A big shortcoming of an Internet fashion mall is that the consumers can't wear clothes themselves. Currently there is no system to cover the shortcoming, It would be nice if a 3D avata wears the clothes on behalf of a consumer after inputting the information of physical sizes of a consumer. The consumers can select many clothes, accessories and even the background. After establishing a complete virtual fashion shopping mall, the consumers who sue the Internet fashion shopping mall could wear the clothes at an online shop establishing an online shopping environment. It will be a sole way to ensure the trust of the consumers. This paper studies the read in reflection by PC camera and sample the edge detection. Virtual fitting system that wears virtual fitting model some clothes is establishment.

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.598-604
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• 2014

In this paper, we develop stepwise regression data envelopment model to select important variables. We formulate null hypothesis to understand the importance of each variable and use Kruskal-Wallis test for this purpose. If the Kruskal-Wallis test does reject the null hypothesis this will imply there is significant fluctuation in the efficiency score relative to base model. And therefore we have to further check the pair of variables that causes the fluctuation in order to determine its importance using Conover-Inman test. The proposed models helps understand the extent of misclassification decision making units as efficient/inefficient when variables are retained or discarded alongside provides useful managerial prescription to make improvement strategies.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.4
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• pp.145-152
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• 2020

MRC (Machine reading comprehension) is the AI NLP task that predict the answer for user's query by understanding of the relevant document and which can be used in automated consult services such as chatbots. Recently, the BERT (Pre-training of Deep Bidirectional Transformers for Language Understanding) model, which shows high performance in various fields of natural language processing, have two phases. First phase is Pre-training the big data of each domain. And second phase is fine-tuning the model for solving each NLP tasks as a prediction. In this paper, we have made the Patent MRC dataset and shown that how to build the patent consultation training data for MRC task. And we propose the method to improve the performance of the MRC task using the Pre-trained Patent-BERT model by the patent consultation corpus and the language processing algorithm suitable for the machine learning of the patent counseling data. As a result of experiment, we show that the performance of the method proposed in this paper is improved to answer the patent counseling query.