• Journal of Creative Information Culture
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• v.5 no.3
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• pp.237-243
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• 2019

The ability of problem-solving, communicating, and collaborating with computing technology is considered as core competencies for future society. In order to improve those competences, the algorithm and programming ability was set as the important goal of the Information curriculum of Korea. Algorithmic thinking is a key component of computing thinking, and it is known to play a very important role in designing and programming algorithms. It is used to set goals of Information curriculum and to measure student achievement. Therefore, in this study, developed a test to measure algorithmic thinking of students in elementary, middle and high schools, and applied the test to measure the levels of algorithmic thinking. As a result of the analysis, the higher the school level, the better the algorithmic thinking. And no difference was found between genders. This study is expected to provide a guide for constructing measures or setting the difficulty level for algorithmic thinking.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.592-593
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• 2021

In July of last year, the Korean version of the New Deal National Report Conference was held in the presence of the President, and the "Korean version of the New Deal Comprehensive Plan" was announced as its core strategy. In the field of education, the "Green Smart Future School" project has been included as one of the top 10 Korean New Deal projects. And last year, due to the spread of non-face-to-face classes due to COVID-19, the demand for ICT technology in front-line education sites rapidly increased. Therefore, In this paper, we examine the problems of the wireless network and wired infrastructure of the classroom in the past, and design wired network infrastructure and wireless network equipment for green smart classrooms with high-speed wireless networks that can be used for non-face-to-face and face-to-face classes, and build them in actual classrooms. An example for the following was presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.164-166
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• 2021

In the ever-changing policy promotion environment, front-line public officials often have difficulties in public relations because they do not know what and how to do it precisely. Everybody says, "Promotion is important, publicity is a problem," however, the policies will inevitably become useless if citizens are not aware of them. Therefore, this study aims to examine Asan City's policy promotion strategy using social media, the core of mobile communication. In particular, mobile social media service is crucial because it is desirable to actively use it to improve its efficiency and strengthen public communication. In understanding and implementing policy promotion, a practical guide for policy promotion that public relations officials can refer to according to the situation is needed, not a formal manual. In addition, looking at how public institutions operate social media will be an opportunity to provide guidelines for using social media as a powerful means of promoting policies in public institutions in the future. We expect that social media will inform information more quickly and respond efficiently in an emergency information protection situation.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.24-31
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• 2017

As the concept of sustainability becomes more and more popular, a large amount of literature have been recorded recently on intelligent green building and smart city (IGB&SC). It is therefore needed to systematically analyse the existing knowledge structure as well as the future new development of this domain through the identification of the thematic trends, landmark articles, typical keywords together with co-operative researchers. In this paper, Citespace software package is applied to analyse the citation networks and other relevant data of the past eleven years (from 2006 to 2016) collected from Web of Science (WOS). Through this, a series of professional document analysis are conducted, including the production of core authors, the influence made by the most cited authors, keywords extraction and timezone analysis, hot topics of research, highly cited papers and trends with regard to co-citation analysis, etc. As a result, the development track of the IGB&SC domains is revealed and visualized and the following results reached: (i) in the research area of IGB&SC, the most productive researcher is Winters JV and Caragliu A is most influential on the other hand; (ii) different focuses of IGB&SC research have been emerged continually from 2006 to 2016 e.g. smart growth, sustainability, smart city, big data, etc.; (iii) Hollands's work is identified with the most citations and the emerging trends, as revealed from the bursts analysis in document co-citations, can be concluded as smart growth, the assessment of intelligent green building and smart city.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.27-34
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• 2023

Recently, worldwide to respond to climate change and secure sustainability. Korea aimed to increase water use efficiency by implementing integrated management according to the water management unification policy. Therefore, the necessity of establishing and operating governance is expanding to ensure the sustainability of agricultural water. In this study aims to evaluate the importance of agricultural water governance components and provide essential data for the participation of stakeholders in the efficient use of agricultural water in Korea. For this study, a total of 19 respondents to the ANP survey for this study were composed of experts in agricultural water and governance in Korea. As a result, the ranking for the main components was in the order of law, policy, and systems(0.222), core subjects(0.191), information sharing and communication(0.180), budget support(0.178), mutual learning(0.124), and external experts(0.105). The most important components for the operation of agricultural water governance are laws, policies, and systems. Since Korea's agricultural water management is a public management system, national standards are considered the first priority. This study, which is the purpose of the agricultural water governance model, evaluated the importance of the constituent components for participating in demand management with a sense of responsibility. Moreover, if agricultural water governance is expanded nationwide by reflecting agricultural and water resource policies in the future, it is believed that positive effects can be achieved in increasing utilization efficiency and securing sustainability through agricultural water saving.

• Journal of Korea Technology Innovation Society
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• v.14 no.1
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• pp.1-21
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• 2011

Technical change and technological innovation have become major drivers of economic progress in the knowledge oriented economies where growth, productivity, and competitiveness are increasingly based on improved technologies, novel products, upgraded processes or customized services. The creation of new knowledge, modifying or improving existent knowledge, or imitation of others, has become central to economic development. New discoveries, state-of-the-art information gathering procedures, or successful problem solving routines are often at he core of these innovations. Despite the generally acknowledged importance of science in many high-tech areas of major economic relevance, there is few science-related statistics to be found in high-profile international benchmarking reports. This paper aims to provide an answer by advancing our understanding of the possibilities of indicators quantifying linkages between science and technology. Central are the concepts of innovation capability and science/technology interface, which are used to assemble a wide range of empirical studies and quantitative indicators to summarize their possibilities and limitations for producing comparative statistics. For the purpose of the study, we extracted the US patents by Korean assignees or inventors, scientific papers cited in the patents in order to analyze the characteristics of linkage of scientific knowledge flows. The review focuses on indicators dealing with flows of written or codified information, and indicators of inventiveness that capture the non-codifiable tacit knowledge dimension. General conclusions will be drawn with a view towards further developments in the foreseeable future, suggesting new avenues for the design and implementation of patent-based and inventor-based relationships between scientific research and technical development within the context of regional or national systems of innovation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.10-21
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• 2021

Recently, the demand for atypical structures with functions and sculptural beauty is increasing in the construction industry. Existing mold-based structure production methods have many advantages, but building complex atypical structures represents limitations due to the cost and technical characteristics. Production methods using molding are suitable for mass production systems, but production cost, construction period, construction cost, and environmental pollution can occur in small quantity batch production. The recent trend in the construction industry calls for new construction methods of customized small quantity batch production methods that can produce various types of sophisticated structures. In addition to the economic effects of developing related technologies of 3D Concrete Printers (3DCP), it can enhance national image through the image of future technology, the international status of the construction civil engineering industry, self-reliance, and technology export. Until now, 3DCP technology has been carried out in producing and utilizing residential houses, structures, etc., on land or manufacturing on land and installing them underwater. The final purpose of this research project is to produce marine structures by directly printing various marine structures underwater with 3DCP equipment. Compared to current underwater structure construction techniques, constructing structures directly underwater using 3DCP equipment has the following advantages: 1) cost reduction effects: 2) reduction of construct time, 3) ease of manufacturing amorphous underwater structures, 4) disaster prevention effects. The core element technology of the 3DCP equipment is to extrude the transferred composite materials at a constant quantitative speed and control the printing flow of the materials smoothly while printing the output. In this study, the extruding module of the 3DCP equipment operates underwater while developing an extruding module that can control the printing flow of the material while extruding it at a constant quantitative speed and minimizing the external force that can occur during underwater printing. The research on the development of 3DCP equipment for printing concrete structures underwater and the preliminary experiment of printing concrete structures using high viscosity low-flow concrete composite materials is explained.

• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.55-63
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• 2021

Recently, as the problem of the traditional on-site labor-intensive construction production method has been raised due to changes in construction work labor and site conditions, the OSC method is gradually spreading as an alternative to this. Even in apartment houses, the application of the PC method is expanding centered on the underground parking lot, but the high cost structure is a problem compared to the conventional formwork method. In this study, factors affecting the calculation of construction cost in the economic evaluation, which are the core of determining the construction method for apartment buildings, are derived through domestic and foreign literature review and expert advice, the importance was analyzed through an opinion survey targeting industry experts. The measures to reduce construction cost were mainly derived from the improvement of the design and manufacturing process. It is expected that the factors affecting the construction cost and improvement measures of the PC method derived from this study will serve as a direction for technology development to spread the application of the PC method for apartment houses in the future.

• Food Science and Industry
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• v.53 no.2
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• pp.235-247
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• 2020

Current status of the domestic food industry and major issues are reviewed, and some problems derived from the R&D aspect are analyzed. Particularly, the role of the public sector and the direction of R&D are presented in order to enhance the vitality of the food industry and strengthen the competitiveness of small and medium-sized businesses. At first, the government needs to provide a consistent R&D roadmap through macroscopic coordination, and public institutes and private companies should come up with practical and concrete collaborative measures. It is also necessary to set the investment direction for food R&D in the public sector, taking into account the strategic importance of core technology and the global level difference, targeting on basic research and public platform technology. More efforts to discover agendas focused on food technology and link them to large-scale R&D projects are urgently needed to solve national and social problems through food research.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.141-150
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• 2021

Based on Artificial Intelligence technology, AI-enabled warfare is expected to become the main issue in the future warfare. Natural language processing technology is a core technology of AI technology, and it can significantly contribute to reducing the information burden of underrstanidng reports, information objects and intelligences written in natural language by commanders and staff. In this paper, we propose a Language model-based Multi-source Information Integration (LAMII) framework to reduce the information overload of commanders and support rapid decision-making. The proposed LAMII framework consists of the key steps of representation learning based on language models in self-supervsied way and document integration using autoencoders. In the first step, representation learning that can identify the similar relationship between two heterogeneous sentences is performed using the self-supervised learning technique. In the second step, using the learned model, documents that implies similar contents or topics from multiple sources are found and integrated. At this time, the autoencoder is used to measure the information redundancy of the sentences in order to remove the duplicate sentences. In order to prove the superiority of this paper, we conducted comparison experiments using the language models and the benchmark sets used to evaluate their performance. As a result of the experiment, it was demonstrated that the proposed LAMII framework can effectively predict the similar relationship between heterogeneous sentence compared to other language models.