• Informatization Policy
• /
• v.31 no.2
• /
• pp.3-38
• /
• 2024

Hallucination is a significant barrier to the utilization of large-scale language models or multimodal models. In this study, we collected 654 computer science papers with "hallucination" in the abstract from arXiv from December 2022 to January 2024 following the advent of Chat GPT and conducted frequency analysis, knowledge network analysis, and literature review to explore the latest trends in hallucination research. The results showed that research in the fields of "Computation and Language," "Artificial Intelligence," "Computer Vision and Pattern Recognition," and "Machine Learning" were active. We then analyzed the research trends in the four major fields by focusing on the main authors and dividing them into data, hallucination detection, and hallucination mitigation. The main research trends included hallucination mitigation through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), inference enhancement via "chain of thought" (CoT), and growing interest in hallucination mitigation within the domain of multimodal AI. This study provides insights into the latest developments in hallucination research through a technology-oriented literature review. This study is expected to help subsequent research in both engineering and humanities and social sciences fields by understanding the latest trends in hallucination research.

• Journal of Korea Technology Innovation Society
• /
• v.18 no.4
• /
• pp.693-718
• /
• 2015

This paper examines the presence of network structures among convergence technologies focusing on national R&D projects performed by GRIs(Government-sponsored Research Institutes) in Korea. The dataset of convergence technology projects, which were conducted by 24 GRIs over 3 years (2011-2013), are analysed using the network analysis method. In this paper, a convergence technology project is defined as a project that consists of 2 or more then 2 technologies according to the intermediate classification of National Standard Classification of S&T. The research results confirm that convergence researches of government-sponsored research institutes are performed more actively than the entire convergence researches of national R&D projects. Furthermore, technological fields of GRIs' convergence projects are found to be much more varied. This paper also shows that in-house researches are more active than collaborative ones with external organizations. According to the network centrality analysis, it is identified that the network central characteristics of convergence technologies can be classified into internally oriented technologies and externally oriented technologies. Convergence technologies do not just mean simple mixture of different technologies. Therefore Korean government-sponsored research institutes should make more efforts to create convergence research areas which could generate new technologies and industries more effectively than simple multidisciplinary technology researches. From this perspective, some policy suggestions can be derived on the role of government-sponsored research institutes for activating convergence researches through the analysis of status of convergence researches and networks of institutions.

• Journal of Intelligence and Information Systems
• /
• v.15 no.1
• /
• pp.123-140
• /
• 2009

Collaborative filtering recommends products using customers' preferences, so it cannot recommend products to the new customer who has no preference information. This paper proposes a novel approach to new customer recommendations using the social network analysis which is used to search relationships among social entities such as genetics network, traffic network, organization network, etc. The proposed recommendation method identifies customers most likely to be neighbors to the new customer using the centrality theory in social network analysis and recommends products those customers have liked in the past. The procedure of our method is divided into four phases : purchase similarity analysis, social network construction, centrality-based neighborhood formation, and recommendation generation. To evaluate the effectiveness of our approach, we have conducted several experiments using a data set from a department store in Korea. Our method was compared with the best-seller-based method that uses the best-seller list to generate recommendations for the new customer. The experimental results show that our approach significantly outperforms the best-seller-based method as measured by F1-measure.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.8 no.2
• /
• pp.11-19
• /
• 2013

Many companies are developing a numerous number of new products and business models for their sustainable growth. First, their unique technological capability needs to be obtained to develop new products and services. However, as the applicable period of a technology into its industrialization becomes shorter and shorter, the necessity of technological convergence is increasing. Therefore, this study aims to look at the patent status in Korea for the last ten years to analyze in which direction technological convergence had advanced and further compare the patent status in Korea with that in U.S., Europe, and Japan. In addition, this study looks at the impact of converged patent technology on the sales in relevant industries. To this end, this study collected 5,000 patents applied from 2000 to 2009 for the last ten years in Korea, U.S., and Europe every year and conducted network analysis by using UCINET, social network analysis program. In this study, we drew our research findings as follows: First, we could find that technological convergence increased over time and what technology was in the center of fusion. Second, our correlation analysis found that as we had more technological convergence, it was more related to the sales in relevant industries.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.5
• /
• pp.723-737
• /
• 2017

In order to decide the national technical standards policy for national policy/market economy activities, the people in charge commonly make policy decisions based on the current technology level/concentration/utilization by means of major common technology field analysis using patent data. One possible source of such patent data is the domestic mobile carriers through the Korea Intellectual Property Rights Information System (KIPRIS) of the Korean Intellectual Property Office (KIPO). Using this system, we collected 20,294 patents and 152 International Patent Classification (IPC) types and confirmed KTs (9,738 cases / 47.98%), which perform relatively high technology retention activities compared to other mobile carriers through the KIPRIS of KIPO. Based on these data, we performed three analyses (SNA, PCA, ARIMA) and extracted 30 IPC types from the SNA and 4 IPC types from the PCA. Based on the above analysis results, we confirmed that 4 IPC (H04W, H04B, G06Q, H04L) types are the major common technology field of the domestic mobile carriers. Finally, the number of 4 IPC (H04W, H04B, G06Q, H04L) forecast averages of the ARIMA forecast result is lower than the number of existing time series patent data averages.

• Journal of The Korean Association of Information Education
• /
• v.17 no.1
• /
• pp.1-8
• /
• 2013

SNS is a social networking service that removes the barrier between cyber spaces and the real world and helps people who have common interests to have a two-way communication, manage their interpersonal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated in recent days. However, studies on SNS have just examined adults, and it's required to research the use of SNS and cyber behaviors via SNS among elementary and middle school students. This study attempted to analyze the relationship of the use of SNS, motivation of using SNS, the use of active SNS functions, SNS-dependent tendency and SNS awareness to cyber behaviors via SNS among elementary and middle school students. As a result, regardless of gender and grade, stealing private information was the most frequent activity and the frequency of 'contacting strangers' activity increased most rapidly with the usage time and grade. SNS dependency turned out to be the most highly correlated with the negative cyber behavior. Moreover, the difference of gender was not significant to the overall negative cyber behavior, whereas that of grade was.

• Journal of Broadcast Engineering
• /
• v.23 no.4
• /
• pp.536-548
• /
• 2018

Public data has been transformed from provider-oriented information disclosure to a form of personalized information sharing centered on individual citizens since government 3.0. As a result, the government is implementing policies and projects to maximize the value of public data and increase reuse. This study analyzes the issues related to public data in the news and seeks the status of government agencies and government projects by issue. We conducted semantic analysis on domestic online news and public agency bidding information including public data and conducted the work of linking major key words derived with social and economic values inherent in public data. As a result, major issues related to public data were divided into broader access to public data, growth of new technology, cooperation and conflict among stakeholders, and utilization of the private sector, which were closely related to transparency, efficiency, participation, and innovation mechanisms. Also major agencies of four issues include the Ministry of Strategy and Finance and Seoul, Ministry of Culture, Sports and Tourism and Gyeonggi-do, Ministry of Trade, Industry and Energy and Incheon, and Ministry of Land, Infrastructure and Transport and Gyeongsangbuk-do. Most of the issues are being led by the government.

• Journal of Internet Computing and Services
• /
• v.22 no.1
• /
• pp.109-135
• /
• 2021

his study classified the development process of artificial intelligence (AI) speakers through analysis of the news text of artificial intelligence (AI) speakers shown in traditional news reports, and identified the characteristics of each product by period. The theoretical background used in the analysis are news frames and topic frames. As analysis methods, topic modeling and semantic network analysis using the LDA method were used. The research method was a content analysis method. From 2014 to 2019, 2710 news related to AI speakers were first collected, and secondly, topic frames were analyzed using Nodexl algorithm. The result of this study is that, first, the trend of topic frames by AI speaker provider type was different according to the characteristics of the four operators (communication service provider, online platform, OS provider, and IT device manufacturer). Specifically, online platform operators (Google, Naver, Amazon, Kakao) appeared as a frame that uses AI speakers as'search or input devices'. On the other hand, telecommunications operators (SKT, KT) showed prominent frames for IPTV, which is the parent company's flagship business, and 'auxiliary device' of the telecommunication business. Furthermore, the frame of "personalization of products and voice service" was remarkable for OS operators (MS, Apple), and the frame for IT device manufacturers (Samsung) was "Internet of Things (IoT) Integrated Intelligence System". The econd, result id that the trend of the topic frame by AI speaker development period (by year) showed a tendency to develop around AI technology in the first phase (2014-2016), and in the second phase (2017-2018), the social relationship between AI technology and users It was related to interaction, and in the third phase (2019), there was a trend of shifting from AI technology-centered to user-centered. As a result of QAP analysis, it was found that news frames by business operator and development period in AI speaker development are socially constituted by determinants of media discourse. The implication of this study was that the evolution of AI speakers was found by the characteristics of the parent company and the process of co-evolution due to interactions between users by business operator and development period. The implications of this study are that the results of this study are important indicators for predicting the future prospects of AI speakers and presenting directions accordingly.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.3
• /
• pp.176-188
• /
• 2018

Modern urban problems are increasingly becoming a market mix that can not be solved by the power of a single department and the necessity of establishing a cooperation system based on data communication between departments is increasing. Therefore, this study analyzed Busan metropolitan city's IT projects from 2014 to 2018 in order to understand the utilization and sharing status of departmental data from the viewpoint that cooperation between departments can start from the sharing of data with high common utilization. In addition, based on the results of the FGI(Focus Group Interview) conducted for the officials of the department responsible for the informatization project, we verified the results of data status analysis. At the same time, we figured out the necessity of data link between departments through SNA(Social Network Analysis) and presented data that should be shared first in the future. As a result, most of the information systems currently use limited data only within the department that produced the data. Most of the linked data was concentrated in the information department. Therefore, this study suggested the following solutions. First, in order to prevent overlapping investments caused by the operation of individual departments and share information, it is necessary to build a small platform to tie the departments, which have high connectivity with each other, into small blocks. Second, a local level process is needed to develop data standards as an extension of national standards in order to expand the information to be used in various fields. Third, as another solution, we proposed a system that can integrate various types of information based on address and location information through application of cloud-based GIS platform. The results of this study are expected to contribute to build a cooperation system between departments through expansion of information sharing with cost reduction.

• Journal of Global Scholars of Marketing Science
• /
• v.2
• /
• pp.59-79
• /
• 1998

전라남도와 경상남도는 강 하나를 사이에 둔 아주 가까운 이웃이며, 주민생활권이나 지역경제권이 상로연계성을 갖고 있다. 뿐만아니라 사회, 경제 문화와 보유자원의 여러 측면에서도 상로 본완적 성격을 갖고 있는 지역이다. 따라서 대승적 차원에서 볼 때 국토의 균형박전을 도모하고 진정한 동서화합을 위해 상로연계성을 갖고 있는 광양만, 진주권 광역새발을 공동으로 추진하여 동시화합의 대전기를 마련하는 계기로 삼아야 할 것이다. 이러한 차원에서 동서지역의 광역개발 필요성을 요약하면, 첫째, 최근 일정지역의 행정구역을 넘어서 인구와 물자 및 자원의 이용이 활발하게 이러나고 있어 통합적 계획 및 집행이 요구된고 있다. 따라서 광양만 진주권개발은 2개도에 걸쳐 광역개발권역을 설정한 우리나라 최초의 시범적인 계획으로써 세계적인 관심을 보이고 있다. 둘째, 국가경쟁력을 강화하기 위한 신산업지대의 조성과 연계교통망의 구축이 요망된다. 셋째 국토균형발전을 위해 수도권에 대응한 지방거점 도시권의 육성이 팽배하며, 넷째, 중북투자를 피하고 상호보완적인 기능을 극대화하여 진정한 동서화합에 대한 시대적 여청이 증대되고 있는 시절이다. 따라서 광양만 진주권 광역개발의 기본구상은 우선 경제적 물리적통합으로 실절적인 동서이익을 보색하는 차원에서 추진되어야 한다. 그리고 광양함을 국제물류의 중심지로 확충하고 주변지역에 대규모 물류 유통 및 국제기능을 유치하여 국제적 교류거점으로서의 기반 조성을 강화 하여야 한다. 또한 국제관광벨트 및 신산업지대의 형성과 함께 세계화 고속화에 걸맞는 교통기반시설을 정비하는 한편 자연친화적인 개발전략을 이룩함으로써 지구촌 경제하에시 지역균형개발과 지역의 국제경쟁역 확보차원에서 실현되어야 한다. 나아가 과양만권과 진주권의 경제 사회적인 통합을 달성함으로써 국민적 염원인 동서화합의 장으로 승화 발전 시킬 수 있도록 공간구조 및 기능의 분담배분이 요구된다. 기능은 동시지역을 연결하는 통합적인 기능 분담으로 과양만은 생산 및 물류지원기능의 강화와 전주 사천권은 첨단산업 연구 및 지원기능의 강화차원에서 배분이 요구된다. 이러한 광역개발계획이 세계적으로 추진될 때에 진정한 동서화합은 가능할 것이다. 따라서 진정한 도서화합을 유도하기 위해서는 광역개발을 실펀하기 위한 제도적인 협력체계의 구축이 요구된다. 동서지역의 광영개발을 위한 협력체계의 구축 방안은 첫째, 양 지역간에 협약제도르 도입함으로써 광역개발의 집행력을 강화하여야 한다. 즉, 개별 개발사업별로는 협약이 체결됨으로써 자치단체간의 역활분담이 분명하고 여차별 예산의 확보는 물론 사업시행이 구체화 될 수 있기 때문이다. 둘째는 양 자치단체간의 광역행정을 진담하는 기구의 절차가 필요한다. 광역개발 계획 추진 뿐만아니라 실질적으로 양권역이 공존공영을 위해 필요한 사업들을 추진 할 수 있도록 협의회 기능을 보완한 새로운 전담기구의 설치가 필요하다. 셋째. 광양만 진주권 광역개발 계획은 동서지역의 화합이라는 상징적인 의미를 지니고 있다. 따라서 중앙정부는 동서지역간의 진정한 화합을 유도하기 위해 제주도개발 특별법과 같은 �G동서지역개발 특별법�H을 제정하여 종합적이고 체계적인 개발을 유도 하여야 한다. 지역발전을 이룩할 수 있도록 자속적인 노력이 필요하다.