• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.8
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• pp.909-922
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• 2012

To fully utilize scarce spectrum resource, it's necessary to develop and evaluate promising business models prior to making technology R&D plan and industrial promotion policy. The purpose of this paper is to design potential business models, evaluate the propriety of commercializing the models, and discuss promotion policies after exploring promising sectors consuming spectrum resources. The research is based on TV white space, which is vacant TV channels in region or time domain and considered as core spectrum resource along with digital terrestrial television switchover. As the result, four kinds of business models were derived, including broadcasting and telecommunication types. Each model was discussed from four standpoints: customer value proposition, profit formula, key resources, and key processes, and the propriety for commercialization was evaluated by three dimensions: technological evaluations, business-oriented evaluations, and user-oriented evaluations. The promotion policies of government and market participants for the activation of TV White space-based business models were discussed as well.

• The Journal of Information Systems
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• v.18 no.4
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• pp.19-40
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• 2009

승자독식(Winner Takes All)이라는 글로벌 경쟁원리로 인해 세계 주요 국가들 사이에 R&D 경쟁이 갈수록 치열해지고 있다. 이에 우리나라에서도 R&D 지원 확대 및 다양한 정책기획 활동 등이 전개되었다. 이러한 노력에도 불구하구 국가 차원에서 기획 및 정책조정이 효과적으로 추진되지 못하고 있으며, 국가연구개발사업 차원에서는 "기획의 양척 과다와 질적 부실"이라는 비판이 제기되고 있다. 반면에 기술 융복합화의 가속화 등 R&D 환경의 불확실성은 더욱 높아졌으며 국가연구개발사업의 규모 증가와 함께 연구기획의 복잡성은 더욱 더 높아졌다. 최근에는 국가 차원의 비전수립과 중장기 정책기획에 기초하여 사업기획과 과제기획을 연계 수행하는 등 기획을 통해 과제를 도출하는 하향식 접근이 강조되면서 기획의 중요성은 더욱 커졌다. 최근 연구기획의 새로운 기법으로서 정보분석 방법론(Information Analysis Method)이 대두되고 있다. 국가연구개발사업의 효율적 기획을 위하여 기존 기술기획 위원회(Peer Review) 방식 외에 정보분석 방법론을 통한 보완이 필요하다. 본고의 목적 크게 두 가지로 설명할 수 있다. 첫째, 현재 진행되고 있는 연구기획 및 연구기획 방법론으로 기장 많이 활용되고 있는 전문가 위원회의 한계를 제시하였다. 둘째, 최근 대두되고 있는 정보분석 방법론과 정보분석 시스템 구축, 그리고 이를 활용한 10대 기술(반도체, 디스플레이, 디지털 망원전파, 이동통신, BcN, 차세대 컴퓨팅, SW솔류션, 디지털콘텐츠, 임베디드 SW, 지식정보보안)에 대한 유망기술 발굴 실증분석을 실시하였다.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• The Journal of Engineering Geology
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• v.24 no.4
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• pp.615-629
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• 2014

This study analyzed existing patents related to real-time monitoring and detection technology for landslides on natural terrain. The purpose of patent analysis is to understand landslide hazard technology trends and to develop new advanced technology. This study searched patent data using key words related to landslide monitoring and detection in Korea, the USA, Japan, China (Hong Kong), Europe, and Taiwan. The patents were divided into five main categories and five to seven subcategories in each main category and analyzed by year, country, and applicants. The results were utilized to derive a portfolio of promising technologies for each country. The analysis results will also contribute to the development of more effective research strategies and to categorize research findings from previous studies on landslide hazards.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.77-84
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• 2022

This study aims to present a method for implementing a decision support system that can be used for selecting emerging technologies by applying a machine learning-based automatic classification technique. To conduct the research, the architecture of the entire system was built and detailed research steps were conducted. First, emerging technology candidate items were selected and trend data was automatically generated using a big data system. After defining the conceptual model and pattern classification structure of technological development, an efficient machine learning method was presented through an automatic classification experiment. Finally, the analysis results of the system were interpreted and methods for utilization were derived. In a DTW-kNN-based classification experiment that combines the Dynamic Time Warping(DTW) method and the k-Nearest Neighbors(kNN) classification model proposed in this study, the identification performance was up to 87.7%, and particularly in the 'eventual' section where the trend highly fluctuates, the maximum performance difference was 39.4% points compared to the Euclidean Distance(ED) algorithm. In addition, through the analysis results presented by the system, it was confirmed that this decision support system can be effectively utilized in the process of automatically classifying and filtering by type with a large amount of trend data.

• Review of KIISC
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• v.21 no.2
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• pp.61-69
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• 2011

개인 신분을 증명하는 분야에서 유망한 미래 기술 중 하나인 바이오인식 기술은, IT 기술의 발달에 힘입어 각종산업과인터넷 영역으로 활용범위를 확대하고 있다. 바이오인식 산업의 시장은 초기상태지만 10~20% 이상의 높은 성장률을 보이고 있으며, 전자여권 등의 다양한 활용분야가 개척되면서 앞으로 발전이 기대되는 산업이다. 바이오인식 산업의 이러한발전추세에는 국내외 표준화기구를 통한 활발한 표준화작업이 밑바탕이 되고 있으며, 특히 미국, 영국, 독일, 일본, 한국등의 나라를 중심으로 국제표준화를 활발히 추진하고 있다. 표준화의 분야에는 기술 간의 호환성을 유지하기 위한 표준, 바이오인식 정보보호기술 표준, 바이오인식 기술의 성능 및 표준적합성 평가기술 등 다양한 표준화 분야로 재분리 된다. 본 논문에서는 바이오인식 표준화를 위한 국외 표준화 기구를 소개하고, 각 기구별 표준화 현황을 살펴본다. 또한, 향후추진해야할 중점 표준화 항목을 도출한다.

• Korean Journal of Construction Engineering and Management
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• v.13 no.1
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• pp.160-169
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• 2012

Domestic construction industry, which has recently had difficulty in market saturation and slowing growth, is trying to resolve this situation by incorporation with IT technology. However, there was less choice and has simply used IT technology as required in construction field. In other word, IT technology has applied to not all processes but some parts. Therefore, in this paper, we find out suitable and promising IT technology to each step of construction process, analyzing IT convergence technology related to whole process comprehensively in order to suggest fundamental directions for effective construction IT convergence in the field.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.491-497
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• 2006

최근 유비쿼터스를 비롯한 정보기술의 급격한 발전에 따라 GIS를 통하여 누구나 일상 속에서 직접 지리정보를 활용할 수 있게 되면서 공공분야 및 연관 산업분야에 큰 파급효과를 가져오고 있다. 특히, 지리정보의 유통 방식이 기존의 공급자가 제공하는 지리정보에 대해 조회 위주에서 벗어나 현장에서 실시간으로 지리정보를 가공하고 직접 갱신할 수 있는 양방향 서비스로 진화하면서, GIS는 u-City 구현에 필수적인 위치기반 공공서비스 인프라 구현을 통해 민간의 내비게이션, 텔레매틱스 등 관련분야 시장규모가 해마다 급속히 성장하고 있다. 하지만 이러한 상승세에도 불구하고 여전히 기관마다 서로 유사한 서비스를 제공하는 경우가 빈번하고, 민간의 대다수 유관업체들 역시 아직 지속적인 수익모델을 찾지 못해 단말기 제조 등 특정 분야에만 머무르고 있는 실정이다. 따라서 업종특성에 맞는 보다 구체적이고 유망한 신규 사업모델의 개발이 시급하다. 본 연구는 GIS 특성에 근거하여 사업모델 개발에 필요한 성공요인을 도출하고 그 타당성을 분석함으로서, 이를 통해 다양한 성공적인 지리정보 활용 비즈니스 모델의 구현과 평가에 기여하고자 한다.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.175-196
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• 2022

Information and communication and home appliance industries, which were one of South Korea's main industries, are gradually losing their export share as their export competitiveness is weakening. This study objectively analyzed export competitiveness and suggested export-promising countries in order to help South Korea's information communication and home appliance industries improve exports. In this study, network properties, centrality, and structural hole analysis were performed during network analysis to evaluate export competitiveness. In order to select promising export countries, we proposed a new variable that can take into account the characteristics of an already established International Trade Network (ITN), that is, the Global Value Chain (GVC), in addition to the existing economic factors. The conditional log-odds for individual links derived from the Exponential Random Graph Model (ERGM) in the analysis of the cross-border trade network were assumed as a proxy variable that can indicate the export potential. In consideration of the possibility of ERGM linkage, a parametric approach and a non-parametric approach were used to recommend export-promising countries, respectively. In the parametric method, a regression analysis model was developed to predict the export value of the information and communication and home appliance industries in South Korea by additionally considering the link-specific characteristics of the network derived from the ERGM to the existing economic factors. Also, in the non-parametric approach, an abnormality detection algorithm based on the clustering method was used, and a promising export country was proposed as a method of finding outliers that deviate from two peers. According to the research results, the structural characteristic of the export network of the industry was a network with high transferability. Also, according to the centrality analysis result, South Korea's influence on exports was weak compared to its size, and the structural hole analysis result showed that export efficiency was weak. According to the model for recommending promising exporting countries proposed by this study, in parametric analysis, Iran, Ireland, North Macedonia, Angola, and Pakistan were promising exporting countries, and in nonparametric analysis, Qatar, Luxembourg, Ireland, North Macedonia and Pakistan were analyzed as promising exporting countries. There were differences in some countries in the two models. The results of this study revealed that the export competitiveness of South Korea's information and communication and home appliance industries in GVC was not high compared to the size of exports, and thus showed that exports could be further reduced. In addition, this study is meaningful in that it proposed a method to find promising export countries by considering GVC networks with other countries as a way to increase export competitiveness. This study showed that, from a policy point of view, the international trade network of the information communication and home appliance industries has an important mutual relationship, and although transferability is high, it may not be easily expanded to a three-party relationship. In addition, it was confirmed that South Korea's export competitiveness or status was lower than the export size ranking. This paper suggested that in order to improve the low out-degree centrality, it is necessary to increase exports to Italy or Poland, which had significantly higher in-degrees. In addition, we argued that in order to improve the centrality of out-closeness, it is necessary to increase exports to countries with particularly high in-closeness. In particular, it was analyzed that Morocco, UAE, Argentina, Russia, and Canada should pay attention as export countries. This study also provided practical implications for companies expecting to expand exports. The results of this study argue that companies expecting export expansion need to pay attention to countries with a relatively high potential for export expansion compared to the existing export volume by country. In particular, for companies that export daily necessities, countries that should pay attention to the population are presented, and for companies that export high-end or durable products, countries with high GDP, or purchasing power, relatively low exports are presented. Since the process and results of this study can be easily extended and applied to other industries, it is also expected to develop services that utilize the results of this study in the public sector.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.265-269
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• 2007

We should select suitable application research project to carry out e-Science research in successfuly and make the reseach implement plan such as developing component technology and preparing infrastructure. On this study, the e-Science projects pool will be composed from technology forecasting and national R&D projects and evaluated the project by making evaluation models.