In the establishment of procedures for managing spent fuel, the development of an information system for data management is an indispensable prerequisite. Given the prolonged period of spent nuclear fuel management, marked by numerous personnel changes and the anticipation of vast data retention, addressing this matter appropriately is imperative, particularly in the specialized field of spent nuclear fuel operations. Recognizing the need for a method to mitigate these challenges, we endeavored to apply semantic technology to the information system. To achieve this, we constructed the ontology of spent nuclear fuel and conducted research to transform it into a relational database. As a result, the information system, developed by the application of semantic technology, has attained the capability to comprehend and perceive relationships among information itself. Through this research, the system not only addresses previously identified concerns but also enhances its versatility, enabling it to perform functions previously unattainable within existing information systems.

Recently, the market competition has been fiercer due to the acceleration of technological change and the launch of intelligent products. In this situation, technology cooperation activities through networks rather than independent technological innovation activities of a single company or institution are recognized as a crucial strategy to gain competitiveness. Technology cooperation can take various forms depending on the target technology, and researchers have conducted performance analyses of technology cooperation types. However, there have not been data-based quantitative studies on the types and trends of technology cooperation for the target technology. In this paper, we explored the difference between the technology cooperation types by technology and time using the formal concept analysis method and co-patent information. In particular, the proposed methodology has been verified through the case study of electric vehicles, and it is intended to suggest the direction of technological cooperation according to specific technologies and cooperation targets in the future

본 연구는 중국 C2C 중고거래 플랫폼의 사용자 연구대상으 로 정보기술 수용과 사용 태도에 대해 설명력이 높다고 인정받 고 있는 기술수용모델(TAM)을 토대로 핵심 변수 외 다양화된 정보시스템 환경을 반영하는 변수로 주목받고 있는 지각된 유 희성을 추가 변수로 지정하였다. 본 연구는 가설을 검증하기 위해 중국 C2C 중고거래 플랫폼에 대한 경험 있는 사용자들을 대상으로 조사를 실시하였다. 총 400부의 설문지를 배포하였으 며 회수된 설문지를 선별하여 총 362부 유효 설문지가 선출되 었다. 또한, C2C 중고거래 플랫폼 특성 변인인 정보 대칭성을 규명하고, 이를 바탕으로 정보의 이용 가치를 높이고 활성하기 위한 전략 방향에 시사점을 제시하는 데 그 목적을 둔다. 그리 고 마케팅 연구의 학문적 발전에 기여하고 기업에는 중고 플랫 폼을 활용한 마케팅 전략 수립 시 실무적인 도움을 제공할 수 있을 것으로 기대한다.

Numerous spent nuclear fuels are generated every year in Korea. To solve the spent nuclear fuel problem within saturated temporary storage, the authorities are readying to build an interim storage and a permanent disposal facility in the country. At the same time, the authorities are readying to establish a management procedure for spent nuclear fuel. In the future, the authorities need to make and apply the Database of spent nuclear fuel to practice the management procedure. However, the structure of a traditional database is not reasonable for information management because it has a problem with listing data and identifying data features due to its structure. In addition, the traditional database always exists human error from working in Excel program by a human. Therefore, this research proposes a new standard information management model based on Semantic Web technique. Semantic Web uses a data structure named ontology. By using the ontology in the information database of the spent nuclear fuel, users, such as institutions related to management, could more easily recognize and understand the Database. Furthermore, since this task proceeds in the ontology construction program, the human error in the new model reduces rather than an environment of the traditional database.

By Foreign Trade Act and the relevant laws, any organization which intends to export strategic items shall be classified whether the products, S/W, or technology are strategic items and obtain an export license from the Nuclear Safety and Security Commission (NSSC) in case those are nuclearrelated strategic items. The NSSC and KINAC conduct outreach activities to enhance the recognition and implementation of nuclear export and import control. However, ensuring that all target organizations identify and comply with relevant legislation and laws is difficult. Therefore, the government and regulators should continuously make efforts to reduce blind spots for nuclear export and import control. KINAC established the National Nuclear Technology Information Collection and Analysis System (NNTICAS) to find nuclear-related companies through online website information of various companies and to list organizations that handle nuclear-related strategic items. Based on the NICE corporate information website, NNTICAS finds related companies using dynamic collection methods through interactions such as search word input, search button input, check box click, and collected text from each company website using static collection methods through URL address access and HTML source code extraction. After that, the text contained on the company website is analyzed to check whether the predefined normalized word is included, and if the normalized word appears at a certain number or higher, it is judged as a potential target company dealing with nuclearrelated strategic items. Information on the potential target company is compared with the export controlled item list and finally classified as a target company dealing with nuclear-related strategic items. According to the comparison a manually analyzed result of potential target companies and finally selected target companies NNTICAS, it is confirmed that predefined normalized words need to be more detailed, and a controlled item list such as axes (0B001.b.2) needs to be additionally processed. In addition, if the collection is repeated without completing the previous classification of the collected corporate information, it is also possible to collect companies in cosmetics, semiconductors, and displays. Although it was confirmed that some supplementation is needed to use this system to select target companies for the outreach activity, it is also confirmed that target companies for outreach activity can be expanded through this system and is expected to increase the implementation rate and reduce the blind spot for nuclear export and import control.

Recent developments in information and communication technologies (ICT) can be applied in stores, and the number of fashion stores that have introduced and utilized ICT are increasing. By applying a literature review and empirical research, the types of ICT service factors of fashion stores were identified and categorized. The effect of their importance on consumer behavioral intentions was analyzed. Next, using factor analysis on the ICT service factors, five factors were identified and named as follows: smart space services, smart payment services, virtual image services, product information services, and smart access services. The importance of these factors was then analyzed. The importance of each factor and detailed questions was rated above average. After examining the effect of ICT service on behavior intention, issues such as purchase intention, revisit intention, and word of mouth intention were found to have significant influence. This study is meaningful in that it derives the importance factors of ICT services that can be used in fashion stores in a situation where retail techniques become important and expand, and provides marketing strategies related to consumer behavior according to detailed factors. With retail tech becoming more important and expanding, it is necessary to provide various services that consumers value by utilizing ICT in fashion stores. Considering the results of this study, ICT technology and services of various fashion stores can be effectively utilized and retail tech utilization performance can be improved.

Background: Recently, a new home-based dysphagia rehabilitation method using information and communications technology (ICT) has been reported, but clinical evidence is still lacking. Objectives: To investigate the effects of home-based dysphagia rehabilitation using ICT on tongue muscle strength and volume in patients with developed dysphagia after stroke. Design: Randomized controlled trial design. Methods: Twenty patients who developed dysphagia after stroke were enrolled. The experimental group received dysphagia rehabilitation in the form of ICT-based home care. In contrast, the control group received traditional rehabilitation based on swallowing under the supervision of occupational therapists. All interventions were conducted five times a week for four weeks. Results: Both groups showed statistically significant increases in tongue muscle strength and volume after the intervention (P<.05, both). However, there were no significant differences in tongue strength or volume between the two groups after the intervention (P>.05, both). Conclusion: Home-based dysphagia rehabilitation using ICT showed effects similar to those of conventional swallowing rehabilitation in patients who developed dysphagia after stroke. These findings suggest that dysphagia rehabilitation can be conducted at home without the help of a therapist.

Data on patent and scientific paper is considered as a useful information source for analyzing technological information and has been widely utilized. Technology big data is analyzed in various ways to identify the latest technological trends and predict future promising technologies. Clustering is one of the ways to discover new features by creating groups from technology big data. Patent includes refined bibliographic information such as patent classification code whereas scientific paper does not have appropriate bibliographic information for clustering. This research proposes a new approach for clustering data of scientific paper by utilizing reference titles in each scientific paper. In this approach, the reference titles are considered as textual information because each reference consists of the title of the paper that represents the core content of the paper. We collected the scientific paper data, extracted the title of the reference, and conducted clustering by measuring the text-based similarity. The results from the proposed approach are compared with the results using existing methodologies that one is the approach utilizing textual information from titles and abstracts and the other one is a citation-based approach. The suggested approach in this paper shows statistically significant difference compared to the existing approaches and it shows better clustering performance. The proposed approach will be considered as a useful method for clustering scientific papers.

Due to the rise of Information & Communication Technology (ICT) adoption in many fields, it is necessary to diagnose the informatization situations of corporations in agriculture and give suggestions for improvement. For this goal, surveys were designed and conducted to understand the current informatization situations of agriculture corporations in Korea. The survey covers the plan for utilizing information technology, the establishment of infrastructure for information technology, IT application status, and its effect on their performance. The specific focus of our research is to segment the corporations by their type of industries and their level of sales and give differentiated managerial implications for each segment. This is because the type of informatization and information technology assistance they need highly depends on their industry type and sales level. Based on descriptive statistics and regression analyses, tailored managerial and polic

21세기 들어서 더욱 나빠지는 기후변화로 가뭄이나 물 부족현상이 전 세계적으로 확대되고 있다. 또한, 화석연료 사용으로 발생하는 이산화탄소는 전체 온실가스의 80%를 차지하기 때문에 지구 온난화의 요인이 되고 있다. 따라서 수처리 멤브레인, 가스분리용 멤브레인, 2차전지용 분리막의 중요성은 증대하고 있으나, 미국, 일본, 독일 등 선진국에서 기술을 독점 하고 있어서 국내 멤브레인 기술의 고도화 및 경쟁력 강화가 시급히 요구되고 있다. 그래서 국가에서도 연구예산을 지원하고 있으나, NTIS 데이터를 이용하여 효율성을 분석하였다. 분석 결과, 단기과제 위주로 지원되고 있고, 타 기술 분야에 비해서도 연구비 규모가 작으며, 기초 소재 분야 지원이 취약한 것으로 분석되었다. 따라서 장기과제를, 많은 예산으로, 대학을 중심으 로 많이 투자할 때 멤브레인 기술의 향상과 경쟁력이 강화되어 선진국과 동등한 기술력을 갖출 것으로 기대된다.

The applications of information and communication technology (ICT) into real industrial fields are getting great attentions in recent years. More and more industrial practitioners and scientific researchers are conducting studies and trying to adopt the technologies into diverse industrial fields. The purpose of this study is to review the technologies such as big data and smart sensors and to provide application cases in order to facilitate grafting the 4th industrial revolutionary technologies onto the safety and health systems. Based on the comprehensive reviews on literature, reports, and industrial cases, we found that big data technology has been used in industries for investigating work related disease. In addition, digital image technology and drone have been applied to establish safety system in construction industry. Lastly, some companies have tried to apply the technologies to build their own safety and health system.

In this study, we introduce the technology that provides the driver with the information related to the traffic information application such as the traffic center or T-map when the slippery situation occurs on the road by collecting the slip information by the vehicle speed on the road surface. Road surface detection technology collects road surface information by using black box and DTG which are installed in commercial vehicles and detects dangerous sections for road safety. It transmits information to a traffic center and transmits it to a rear vehicle driver It is aimed at delivering safe driving information.

Recently, maintenance science has been promoted and many advanced equipments have been developed such as GPR surveying, automatic gauging robot, bridge deck inspection robot. And the government - led policy on the fourth industrial revolution affects the R & D field of science and technology, and science for all fields remains a challenge. However, the equipment that has been developed so far is applied separately to each field, so that it is not possible to grasp the state of the entire structure. Therefore, in this study, the applicability of BIM and image information mapping technology in expressway maintenance was analyzed. To accomplish this, a basic analysis was conducted to identify the characteristics of the equipment developed for the current structure inspection and to build a platform to manage the collected data collectively.