• International Journal of Advanced Culture Technology
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• 제4권4호
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• pp.70-74
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• 2016

Electronic commerce (E-commerce) using virtual reality (VR) has the advantage of being able to purchase products without restrictions of time and location by overcoming the limitations of existing offline transactions. It is still a rudimentary but fast growing technology, and the use of E-commerce in VR is expanding. The barriers that consumers might face in utilizing E-commerce in VR is the relevance to Information and Communications Technologies (ICT) technology. Fundamentally, it requires Internet access and use through PCs or mobile devices such as smart phones. Because unlike off-line markets, it is difficult to determine the purchase patterns of customers, customer purchasing behavior analysis must be done using computer access records. In order to expand and develop E-commerce in VR in the future, learning ability should be improved through combining with artificial neural network by deep learning that is recently in the spotlight, and the ability to overcome errors need to be improved to enable use in various fields.

• World Technopolis Review
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• 제7권1호
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• pp.44-58
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• 2018

The successful development of science parks is dependent on the relevance and delivery of a range of value propositions they offer to their stakeholders. Experience has shown that the benefits of these value propositions are 'place based' and 'time dependent', influenced by the prevailing technology, social and business environments in which they operate, and the relationship that is developed between entrepreneurs, corporates, academia and government in creating these projects, and their performance is dependent on economic, physical and networking assets they create and deploy. This paper looks at some of the history that has influenced the development of parks, lessons learnt from their planning, development and operation. It reviews these details in the context of delivering value propositions in the context of temporal, spatial, technology and entrepreneurial profile of the new idea of 'innovation districts', influencing 'city planning' and supporting 'smart specialisation strategies'.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권1호
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• pp.41-48
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• 2007

Latest advances in network sensor technology and state of the art of mobile robot, and artificial intelligence research can be employed to develop autonomous and distributed monitoring systems. In this study, as the preliminary step for developing a multi-purpose "Intelligent Space" platform to implement advanced technologies easily to realize smart services to human. We will give an explanation for the ISpace system architecture designed and implemented in this study and a short review of existing techniques, since there exist several recent thorough books and review paper on this paper. Instead we will focus on the main results with relevance to the DIND data fusion with CI of Intelligent Space. We will conclude by discussing some possible future extensions of ISpace. It is first dealt with the general principle of the navigation and guidance architecture, then the detailed functions tracking multiple objects, human detection and motion assessment, with the results from the simulations run.

• 한국언어정보학회지:언어와정보
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• 제5권1호
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• pp.35-53
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• 2001

As a subtype of English relative clause constructions, free relative constructions like what John ate in I ate what John ate exhibit complicated syntactic and semantic properties. In particular, the constructions have mixed properties of nominal and verbal: they have the internal syntax of sentence and the external syntax of noun phrase. This paper provides a constraint-based approach to these mixed constructions, and shows that simple constructional constraints are enough to capture their complexities. The paper begins by surveying the properties of the constructions. In discusses two types(Specific and nonspecific) of free relatives, their ,lexical restrictions nominal properties and behavior with respect to extraposition, piped piping and stacking Following these it sketches the basic framework of the HPSG(Head-driven Phrase Structure Grammar) which is of relevance in this paper. As the main part, the paper presents a constraint- based analysis in which tight interactions between grammatical constructions and a rich network of inheritance relations play important roles in accounting for the basic as well as complex properties of the constructions is question.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.733-741
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• 2018

Capacity estimation is indispensable to ensure the safety and reliability of lithium-ion batteries in electric vehicles (EVs). Therefore it's quite necessary to develop an effective on-board capacity estimation technique. Based on experiment, it's found constant current charge time (CCCT) and the capacity have a strong linear correlation when the capacity is more than 80% of its rated value, during which the battery is considered healthy. Thus this paper employs CCCT as the health indicator for on-board capacity estimation by means of relevance vector machine (RVM). As the ambient temperature (AT) dramatically influences the capacity fading, it is added to RVM input to improve the estimation accuracy. The estimations are compared with that via back-propagation neural network (BPNN). The experiments demonstrate that CCCT with AT is highly qualified for on-board capacity estimation of lithium-ion batteries via RVM as the results are more precise and reliable than that calculated by BPNN.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5634-5653
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• 2018

Internet of things (IoT) is based on a global dynamic information network with cloud services where a great number of devices (things) exchange data to provide added-value services and products. There are several commercial and open source IoT platforms available in the market to connect devices to internet; however, they have cost and operational constraints that make them not suitable for academic projects. In this work, an IoT platform, known as Novus-io, is introduced in order to support academic projects for undergraduate students. With this platform and proper training, undergraduate students from different majors (not only from information technology and electronics) are capable to upgrade their school projects with IoT functionalities. The objective of this approach is to provide to any undergraduate student skills and knowledge on IoT, so they will be prepared, in their imminent step toward professionalism, to understand the relevance of digital services in today's world.

• 한국산업융합학회 논문집
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• 제24권1호
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• pp.1-7
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• 2021

In this paper, we presented the experimental basis for the theoretical background and robustness of the Convolutional Neural Network for object recognition based on artificial intelligence. An experimental result was performed to visualize the weighting filters and feature maps for each layer to determine what characteristics CNN is automatically generating. experimental results were presented on the trend of learning error and identification error rate by checking the relevance of the weight filter and feature map for learning error and identification error. The weighting filter and characteristic map are presented as experimental results. The automatically generated characteristic quantities presented the results of error rates for moving and rotating robustness to geometric changes.

• 기술혁신연구
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• 제21권1호
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• pp.279-301
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• 2013

R&D 성과활용을 위한 기술마케팅의 중요성은 지속적으로 증가함에도 불구하고 특히, 수요기업 발굴을 위한 분석방법론에 대한 구체적인 연구는 미흡한 실정이다. 이에 본 연구에서는 기술속성과 기업정보와의 관계를 분석함으로써 기술과 관련성이 높은 기업정보를 인터넷에서 발굴하는 방법론을 제시한다. 이를 위해 첫째, 대상기술의 속성을 반영한 기술 키워드를 검색하여 수집한 상위 20개의 핵심단어를 추출하였다. 둘째, 핵심단어들로 구성된 매트릭스를 구성하여 단어들 간의 공출현빈도와 거리를 측정함으로써 기업정보와 기술 속성과의 관련성에 대해 분석하였다. 셋째, 각 키워드별 분석결과를 비교하여 중복횟수가 높은 기업을 잠재 수요기업으로 선정하였다. 발굴기법의 신뢰성 확인을 위해, 국내 원천 기초연구 분야 출연연구원의 특허기술에 적용한 결과 총 100개의 잠재 수요기업 후보를 발굴하였으며 키워드별 결과를 비교하여 총 7개의 기업이 잠재 수요기업으로 도출되었다. 각 기업의 사업분야 확인을 거쳐 해당 기술과의 관련성이 높은 최종 5개의 기업이 최종 잠재 수요기업으로 선정되었다. 본 연구를 통해 시맨틱 네트워크 분석방법을 잠재적 기술수요자 발굴분야에 활용함으로써 네트워크 분석의 활용범위를 확장하였다는 점에서 학술적인 의의를 찾아볼 수 있으며, 기술수요 기업을 발굴하기 위한 실증적인 방법을 제공했다는 점에서 의미를 부여할 수 있다.

• 지능정보연구
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• 제24권3호
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• pp.119-134
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• 2018

저장 및 관리하는 지식의 분류체계로서의 의미를 갖는 지식지도는, 문제해결을 위하여 지식을 조회 및 선택하는 사용자의 활동을 지원하고 보완할 수 있는 구조를 갖추어야 한다. 계층형 구조를 갖는 기존의 지식지도는, 관리하는 지식을 체계적으로 정리하는 데에는 이점이 있으나, 지식 사용자가 갖는 인지 및 활용의 논리를 반영하지 못할 뿐만 아니라 지식을 조회 및 추출하는 사용자의 활동을 지원하지 못한다. 본 연구는, 내용적 관련성을 갖는 연관지식을 연쇄적으로 조회 및 추출하는 사용자의 지식활용 패턴을 반영하는, 키워드 기반 네트워크형 지식지도를 구축하는 방법론을 제시한다. 즉, 지식 간 내용적 연관성을 파악하기 위하여 키워드를 추출하고 공통된 키워드를 갖는 지식 간 링크를 해당 키워드를 이용하여 정의한다. 키워드는 해당 지식의 내용을 대변하므로, 키워드를 기반으로 정의된 링크는 내용적으로 관련성이 있는 지식 간에 형성되며, 이를 종합하면 내용적 연관성을 지식 간의 네트워크, 즉 네트워크형 지식지도가 완성된다. 제시된 방법론의 적용 타당성을 검토하기 위해 50개의 연구논문을 이용하여 이들 간의 내용적 연관성을 표현하는 네트워크형 지식지도를 구현하였으며, 검토 결과 만족할만한 수준의 정밀도와 재현율을 보였다.

• 대한한의학회지
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• 제44권2호
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• pp.106-118
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• 2023

Objectives: Network pharmacology is a method of constructing and analyzing a drug-compound-target network to predict potential efficacy and mechanisms related to drug targets. In that large-scale analysis can be performed in a short time, it is considered a suitable tool to explore the function and role of herbal medicine. Thus, we investigated the potential functions and pathways of Chongmyunggongjin-dan (CMGJD) on Alzheimer's disease (AD) via network pharmacology analysis. Methods: Using public databases and PubChem database, compounds of CMGJD and their target genes were collected. The putative target genes of CMGJD and known target genes of AD were compared and found the correlation. Then, the network was constructed using Cytoscape 3.9.1. and functional enrichment analysis was conducted based on the Gene Ontology (GO) Biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways to predict the mechanisms. Results: The result showed that total 104 compounds and 1157 related genes were gathered from CMGJD. The network consisted of 1157nodes and 10034 edges. 859 genes were interacted with AD gene set, suggesting that the effects of CMGJD are closely related to AD. Target genes of CMGJD are considerably associated with various pathways including 'Positive regulation of chemokine production', 'Cellular response to toxic substance', 'Arachidonic acid metabolic process', 'PI3K-Akt signaling pathway', 'Metabolic pathways', 'IL-17 signaling pathway' and 'Neuroactive ligand-receptor interaction'. Conclusion: Through a network pharmacological method, CMGJD was predicted to have high relevance with AD by regulating inflammation. This study could be used as a basis for effects of CMGJD on AD.