• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.151-160
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• 2016

The purpose of this research is to investigate Korean popular attitudes and social perceptions of 'sharing economy' terminology at the current moment from a creative or socio-economic point of view. In Korea, this study discovers and interprets the objective and tangible annual changes and patterns of sociocultural collective intelligence that have taken place over the last five years by applying text mining in the big data analysis approach. By crawling and Googling, this study collected a significant amount of time series web meta-data with regard to the theme of the sharing economy on the world wide web from 2010 to 2014. Consequently, huge amounts of raw data concerning sharing economy are processed into the value-added meaningful 'word clouding' form of graphs or figures by using the function of word clouding with R programming. Till now, the lack of accumulated data or collective intelligence about sharing economy notwithstanding, it is worth nothing that this study carried out preliminary research on conducting a time-series big data analysis from the perspective of knowledge management and processing. Thus, the results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of future sharing economy-related markets or consumer behavior.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.45-53
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• 2020

In this paper, we propose the collective intelligence-based image shared market platform to provide a high quality of image saring services compared to that of the conventional image shared market platforms. The main contribution of this paper can be summarized as follows. First, the proposed platform provides the image sharing services with much more lower price than that of the conventional platforms since the price can be decided based on the buyers themself. Second, since the proposed platform provides very efficient web accessibility, the various buyer can access and evaluate the image efficiently. The results of performance evaluation show that the proposed image shared market platform can support the efficient image shared services efficiently.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.533-538
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• 2015

Collective intelligence is related to several areas such as sociology, business administration, political science, and computer science. This paper can be classified as a product of social engineering of the era of liberal arts and science convergence, fusion, consilience. Members today have higher need for self-actualization and contribution. As the business is changing fast and getting more complicated, a mechanism of natural science is necessary in social organization. The mechanisms of collective intelligence are composed of divergence process and convergence process. And the seven steps were designed that the first letter of each steps leads to 'PROCESS'. When implemented by applying the procedures that reflect the opinions of members throughout this paper, there are members who participated in the decision-making process will contribute to actively participate in the decision when to run, and specific tools and techniques in online communities are for future studies.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.6 no.1
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• pp.25-34
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• 1988

Digital Terrain Model is composed of two basic elements, namely, sampling and interpolation. They represent the procurement of data and the geometric reconstruction of terrain relief respectively. For evaluation DTM data, following two paremeters appear to be the most important factor, that is, the accuracy and efficiency and, in particular, the break point information significantly affect to the accuracy of DTM data. The main objective of this study is to improve the accuracy and efficiency of DTM by applying Progressive Sampling with distinct morphologic information. In this study, the total of 240 individual numerical tests has been implemented and the appropriate computer program is also developed for the test. The result of investigation shows that the Progressive Sampling with break point information improves the accuracy of DTM by 30 percent approximately.

• Korean Security Journal
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• no.61
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• pp.59-85
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• 2019

In the reality that the boundary between the real world and the virtual world disappears with the 4th Industrial Revolution, cyber crimes that occur beyond time and space have clear limitations in fulfilling their duties only with the police force of government organizations established under the real law system. The research method of this thesis is based on the literature research and the experience of security work. The purpose of this paper is to establish a social system where collective intelligence of each social field can participate voluntarily to respond to cyber crimes occurring beyond the time and space before the law and institutionalization. In addition, the social system in which collective intelligence in each social sector can participate voluntarily was established to define crime types in cyberspace in real time and to prevent crimes defined by the people themselves and the counter-measures had been proposed in order to form social consensus. First, it is necessary to establish a collective intelligent network-type cyberpolice volunteer system. The organization consists of professors of security and security related departments at universities nationwide, retired public officials from the National Intelligence Service, the National Police Agency, and the National Emergency Management Agency, security companies and the organizations, civilian investigators, security & guard, firefighting, police, transportation, intelligence, security, national security, and research experts. Second, private sector regulation should be established newly under the Security Business Act. Third, the safety guard of the collective intelligent cyberpolice volunteer system for the stability of the people's lives should strengthen volunteer work. Fourth, research lessons and legal countermeasures against cybercrime in advanced countries should be introduced. Fifth, the Act on the Protection of Personal Information, the Act on Promotion of Information and Communication Network Utilization and Information Protection, the Act on the Utilization and Protection of Credit Information, and the Special Act on the Materials and Parts Industry should be amended. Sixth, police officers should develop cybercrime awareness skills for proactive prevention activities.

• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.79-84
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• 2008

많은 사용자들의 참여로 구축된 집단 지성을 이용한 지식 검색 서비스에서 사용자가 원하는 답변을 빨리 찾고자 하는 요구가 증가하고 있다. 기존의 연구에서 조회 수, 추천 수, 답변 수와 같은 비텍스트 정보가 답변을 평가하는데 좋은 자질임이 증명되었고, 신뢰도를 추정할 수 있는 여러 종류의 단어 사전을 이용하여 답변의 좋고 나쁨을 평가할 수 있는 연구도 진행되었다. 하지만, 조회 수, 추천 수, 답변 수와 같은 비텍스트 정보는 사용자 조작이 간단하여 지속적으로 관리를 해야 하며, 신뢰도를 추정할 수 있는 단어는 지속적으로 보강되어야 한다. 본 논문에서는 이러한 문제점을 해결하고자 동시출현 자질을 이용한 질문과 답변의 유사성을 활용하여 집단 지성에서 사용자의 활동을 분석하여 사용자의 명성을 평가하는 방법을 제안한다. 사용자의 명성을 계산할 수 있다면 조회 수와 추천 수가 많지 않은 답변의 신뢰도도 비교적 정확하게 추정할 수 있다. 이를 위해 우리는 PageRank 알고리즘을 수정하여 사용자 명성을 계산한다. 네이버 지식iN의 문서로 실험한 결과, 기존 정답 선택률을 보완할 수 있는 결과를 보였다.

• International Commerce and Information Review
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• v.16 no.5
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• pp.295-315
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• 2014

This paper attempts to reveal the relationships between vulnerability, FTA barrier, verification factors and origin performance. According to precedent studies, Our study analysed 104 cases from Korean companies which adopted a rules of origin and then developed a structural equation model. As a result of the model test, this empirical study found that vulnerability have a negatively significant influence on origin verification. Second, there was a positive relationship among origin verification and origin performance. Through the results of this study are the first company in order to enhance competitiveness, improve understanding of the rules of origin, must go to deal jointly with partner companies. Second, to establish a process for the origin of the goods to prove this systematic and should be managed in an orderly fashion. Country of origin verification system of corporate -level internal factors and external factors, separated by a study to assess the level of the enterprise for internal and external is determined that you need.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.459-476
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• 2008

The user needs to find the answer to your question is growing fast at the service using collective intelligent knowledge. In the previous researches, it was proven that the non-text information like view counting, referrer number, and number of answer is good in evaluating answers. There were also many works about evaluating answers using the various kinds of word dictionaries. In this work, we propose new method to evaluate answers to question effectively using user reputation that estimated by the social activity. We use a modified PageRank algorithm for estimating user reputation. We also use the similarity between question and answer. From the result of experiment in the Naver GisikiN corpus, we can see that the proposed method gives meaningful performance to complement the answer selection rate.

• Journal of Chest Surgery
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• v.43 no.1
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• pp.120-123
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• 2010

Bronchogenic cysts (BCs) are relatively common congenital anomalies in the mediastinum. Most of the patients with BC can be managed both safely and effectively by minimally invasive methods. Selected patients with a BC in a favorable location can have the cyst partially or completely excised by mediastinoscopic techniques. Herein we report on a case of a left lower paratracheal bronchogenic cyst that was completely resected by a video-assisted mediastinoscopic technique, and we discuss the technical aspects of this procedure.

• Proceedings of the KAIS Fall Conference
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• 2011.12a
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• pp.50-53
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• 2011

재즈음악이나 재즈콘서트는 근래에 들어서 가장 접하기 쉬운 문화예술의 한 장르이다. 재즈 공연을 보기 위해 많은 관객들이 찾고 있으며 이러한 공연은 현재의 대표적인 공연 문화로 자리 매김하고 있다. 그에 반하여 음악연주 자체에 대한 평가나 관객의 반응에 대한 평론이 비전문가적인 부분이 많아서 좀 더 전문성을 갖춘 보컬연주의 이해와 중요성에 대한 교육이 필요하게 되었다. 본 논문은 재즈를 노래하는 사람이 표현하고자 하는 모든 부분을 자유롭고 말하듯이 편안하게 노래하는(지성으로 노래하기) 발성방법과 호흡에 대한 연구이다.