• Title/Summary/Keyword: 산학융합

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Evaluation of NOx Reduction Performance by Photocatalytic (TiO2) Coating of Cement Mortar Mixed with Zeolite and Activate Hwangtoh (제올라이트와 활성 황토를 혼입한 시멘트 모르타르의 광촉매(TiO2) 코팅에 따른 NOx 저감성능평가)

  • Park, Jang-Hyun;Kim, Hyeok-Jung
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.8 no.4
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    • pp.483-489
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    • 2020
  • Particulate matter is divided into PM10 (particle diameter of 10 ㎛ or less) and PM2.5 (particle diameter of 2.5 ㎛ or less), which are approximately 1/5 of the thickness of the hair. Due to its effect on the human body, lung disease, arteriosclerosis and heart It is known as a carcinogen that causes various diseases such as diseases. It is known that the main cause of such fine dust is nitrogen dioxide (NOx), which is emitted from automobiles in about 57.3% of urban roadsides. Therefore, in this study, as part of the development of functional construction materials to reduce NOx generated from road transport pollutants, comparative evaluation of NOx reduction performance was conducted according to the replacement rate of cement mortar in which cement was replaced with a porous material. In addition, the NOx reduction performance of cement mortar according to the photocatalyst application method and the number of applications was compared an d evaluated. As a result of the experiment, when activated ocher was substituted by 30%, it showed a reduction effect of about 32.7%, showing the best reduction performance.

NOx Reduction Performance in Cement Mortar with TiO2 Treatment and Mineral Admixture (무기계 혼화재료를 혼입한 모르타르 시편의 광촉매 처리를 고려한 NOx 저감 성능)

  • Yoon, Yong-Sik;Kim, Hyeok-Jung;Park, Jang-Hyun;Kwon, Seung-Jun
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.8 no.4
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    • pp.506-513
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    • 2020
  • In this study, the mechanical properties, absorption, and reduction performance of NOx in the mortar containing mineral admixture like zeolite and active hwangtoh were evaluated. Zeolite and active hwangtoh were used as binder, and zeolite and active hwangtoh were substituted for cement. The substitution ratio of two types of mineral admixtures was considered as 20 and 30% respectively. As a result of evaluating the compressive strength and flexural strength of each mortar specimen, the highest strength in the plain mixture was evaluated. As the substitution ratio of zeolite and active hwangtoh increased, the compressive and flexural strength decreased. In addition, the difference of compressive and flexural strength between active hwangtoh and zeolite mixing was evaluated to be insignificant. To evaluate the absorption rate, the mixture was designed to lower the W/B ratio of the existing mixture and set the substitution ratio of active hwangtoh and zeolite at 25%. The highest absorption ratio in the mortar with zeolite was evaluated, and the difference in absorption ratio between the remaining two mortar mixtures was small. The assessment of reduction performance of NOx considering the application of photocatalyst showed a clearly decreasing reduction behavior, even if they were the same mortar mixture. Zeolite and active hwangtoh also showed a higher NOx reduction than the Plain mixture, because of their porosity properties. In the case of active hwangtoh, the absorption ratio was lower than that of zeolite mixture, but the reduction of NOx performance was better than the result of zeolite mixture.

The Effect of Bank Loans on Housing Prices in Korea (은행 대출이 주택가격에 미치는 영향)

  • Han, Myung-Hoon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.83-89
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    • 2022
  • This study analyzed the effect of bank loans on housing prices, classified bank loans into bank total loans, household loans, and real estate mortgage loans, and analyzed housing prices by dividing them into national-level, regional-level, and Seoul-level housing prices. The main analysis results are as follows. First, it was found that the increase in total bank loans significantly increased housing prices across the national-level, regional-level and Seoul-level. Second, it was found that household loans had a positive effect on regional-level housing prices, but were not statistically significant. In addition, the effect of bank loans on regional-level housing prices was found to be relatively small compared to the effect on national-level housing prices. Third, it was found that there was a difference in the effect of bank loans on regional-level housing prices and Seoul-level housing prices. Fourth, inflation and bank total loans had a significant positive effect on regional-level housing prices with a lag in the first quarter, and short-term interest rates had a significant negative effect on Seoul-level housing prices with a lag in the first quarter. Overall, it was found that the effect of bank loans on housing prices had a positive effect about twice that of Seoul-level rather than regional-level.

A Study on the Optimal Site Selection by Constraint Mapping and Park Optimization for Offshore Wind Farm in the Southwest Coastal Area (서남해 연안 해상풍력 발전단지 지리적 적합지 선정 및 최적배치에 관한 연구)

  • Jung-Ho, Kim;Geon-Hwa, Ryu;Hong-Chul, Son;Young-Gon, Kim;Chae-Joo, Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1145-1156
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    • 2022
  • In order to effectively secure site suitability for the development of large-scale offshore wind farms, it is essential to minimize the environmental impact of development and analyze the conflicts of benefit between social, ecological, and economic core values. In addition, a preliminary review of site adequacy must be preceded in order not to collide with other used areas in the marine spatial plan. In addition, it is necessary to conduct local meteorological characteristics analysis including wind resources near Jeollanam-do area before project feasibility study. Therefore, wind resource analysis was performed using the observation data of the meteorological mast installed in Wangdeungnyeo near Anmado, Yeonggwang, and the optimal site was selected after excluding geographical constraints related to the location of the offshore wind farm. In addition, the annual energy production was calculated by deriving the optimal wind farm arrangement results suitable for the local wind resources characteristics based on WindSim SW, and it is intended to be used as basic research data for site discovery and selection of suitable sites for future offshore wind farm projects.

A study on the advancement of makerspace as a digital transformation platform (디지털전환 플랫폼으로서의 메이커스페이스 고도화 방안연구)

  • Jung, Won-Joong;Choi, NakHyeok
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.599-608
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    • 2022
  • There has been criticism that the government-led makerspace did not reflect the actual demand of makers, so there was a limit to performance creation. In this regard, the study aims to diagnose the current status and problems of makerspace and to suggest the implication to respond to policy demand. To this end, we analyzed the current status of makerspace by utilizing the government documents. Then, we conducted a survey of SMEs related to ICT devices that experienced makerspace, and analyzed their opinions on D·N·A technology demand, management difficulties, and governments' support policies. As results, the study proposed several improvement measures to upgrade makerspace as a digital conversion platform as follows. First, due to the nature of the existing industry for introducing D·N·A technology, there is a limit for companies to enter the market on their own, so comprehensive support from the government is needed. Second, it is necessary to establish and expand an empirical test bed for the development of new products and services so that various types of metaverse contents can be discovered and digital transformation convergence models of existing businesses can be derived. Third, by modifying the support method to operate the makerspace as a platform that implements the government-led start-up support policy, boldly transfer what the private sector can do well to the private sector. The participants of Industry·University·Institute Collaboration should freely share ideas and help the common problem be solved. Based on the problems and the findings for improvement, it is expected that the current makerspace would be upgraded to a digital conversion platform suitable for the demand of the field.

Research Trend on ESG Management of Corporation (기업의 ESG 경영에 대한 국내·외 연구동향)

  • Byun, Youngjo;Woo, Seung Han
    • Clean Technology
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    • v.28 no.2
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    • pp.193-200
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    • 2022
  • The term environmental, social and governance (ESG) was first used in the 2003 United Nations Environmental Programme Finance Initiative (UNEP FI). Among the three areas of ESG, environment refers to the impact of companies on the environment. Environmental factors address climate change policies and attempts to reduce emissions, waste and natural resource consumption. Social factors refer to the direction in which a company can improve the social impact of stakeholder includes employees, customers, communities, and governments involved in direct or indirect interaction with the organization itself and the company. Governance factors refer to stakeholders who make major decisions, the composition of the board of directors, their diversity and independence, and the internal policies that set limits and expectations for decision-making. Research related to ESG management is part of corporate social responsibility, sustainability, corporate or financial performance, and social responsibility investment. Through case studies and data-based empirical studies, it was confirmed that ESG management companies had positive results for most of the ESG related fields. Through literature analysis of domestic and international ESG history, introduction background, and management performance, this paper presents theoretical, practical implications by confirming that ESG's introduction and operation strategies are strong competitive strategies that directly affect corporate growth by creating attractive factors.

A Study on the Tangibility and Intangibility Value Contents Influence Factor of Jongmyo Shrine Using Text Mining Analysis (텍스트 마이닝 분석을 활용한 종묘의 유·무형 콘텐츠 영향요인 연구)

  • Park, Eun Soo;Kim, Ji Eun
    • Korea Science and Art Forum
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    • v.22
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    • pp.169-183
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    • 2015
  • As time is rapidly changing, the culture to represent an era is getting more subdivided and complex. Due to cultural diversity, the influence, cause, characteristics which could be understood in individual field centered by space in the past cannot be understood now only by the viewpoint of one field, and it has become difficult to predict and correspond to the change of the future. With the development of information and knowledge delivery system, various cultural contents to form a space are being created and lapsed, but there are a lot of parts which cannot be explained or understood by only one point of view. To inspect these situation, this study is aimed to draw the Tangibility and Intangibility Value causes that became the influence with Jongmyo Shrine, designated from UNESCO at February 1995, a traditional space with historical superiority, analyze the key factors that became the main factor to form the space, and consider the importance of the related factors. The unconstructured data technique which is applied as the method of analysis in this study can be said to be a new value judgement and viewpoint in interpreting the space. Therefore, this study is a new trial to provide a frame for multilaterally interpreting the various traditional space and culture of Korea from the past to the present.

A Study on the Method of Activation of Space of Gwangheemun Considering Historical and Cultural Speciality (역사·문화적 특수성을 고려한 광희문(光熙門)의 공간 활성화 방안 연구)

  • Kim, Ji Eun;Park, Eun Soo
    • Korea Science and Art Forum
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    • v.19
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    • pp.243-257
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    • 2015
  • The Cultural Heritage Administration has selected Seoul Fortress Wall as the representative heritage of Korea to be applied for being registered as UNESCO World Heritage and announced the plan to restore and organize it, which has increased the interest to the Seoul Fortress Wall, the Historical Site No. 10. The great work to make the heritage value of Walls, 4 Big Gates and 4 Small Gates composing the Seoul Fortress wall with the length of 18.627 km to be recognized worldwide has limits if it is focused only on the physical restoration. It is because the Seoul Fortress Wall represents the long historical and cultural value as the space of life which connects closely the capital city and its vicinity. We need the plan to discover and utilize historical and cultural contents of Seoul Fortress Wall and its vicinity. Especially, Gwangheemun, which is one of the four Small Gates of Seoul Fortress Wall, is a precious cultural heritage which represents the transition of fortification technology of Chosun period as the space representing ordinary people. However, now Gwangheemun and its vicinity does not stand out the charm because of passive accessibility, landscape falling behind and absence of program. This made the lack of domestic and overseas tourists and the convenient space and various contents. This reality is because the value of space has been considered simply as a cultural heritage without considering the traditional, historical and cultural specificity. Therefore, this study is aimed to find the meaning and value of Gwangheemun by discovering its own latent intangible cultural, historical and artistic resource, and to find the way to connect with Gwangheemun, the existing tangible traditional architectural space and the way of vitalizing Gwangheemun as a new space.

Influence of Alkali Activator Type and Amount of Addition on CO2 Uptake of GGBFS Geopolymer Pastes Containing Zeolite (알칼리계 활성화제의 종류 및 첨가량이 고로슬래그-제올라이트 지오폴리머 페이스트의 탄소포집에 미치는 영향에 관한 연구)

  • Jang-Hyun Park;Hyo-Min Kim
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.2
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    • pp.112-119
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    • 2023
  • In this study, the variations in CO2 uptake according to the type and amount of alkali-based activator (Ca(OH)2, CSA) of geopolymer paste were evaluated. As the amount of activator added to the geopolymer paste increased, the fluidity of the paste is decreased and the compressive strength increased. According to the type of activator, it was confirmed that the addition of Ca(OH)2 had a greater effect on improving the compressive strength than CSA. As a result of changes in chemical properties according to carbonation curing, the amount of C-S-H and C-A-S-H gels produced before carbonation increased as the amount of activator increased, and amount of CaCO3 produced after carbonation increased. The reactivity of the blast furnace slag and zeolite increased due to the addition of the activator, and the reactivity tended to increase as the amount of addition increased. As a result of CO2 uptake, 10.3 wt% when Ca(OH)2 10 % was added and 8.77 wt% when CSA 10 % was added was confirmed. It increased by 421 % and 388 % respectively, compared to the case where no activator was added.

A Deep Learning Performance Comparison of R and Tensorflow (R과 텐서플로우 딥러닝 성능 비교)

  • Sung-Bong Jang
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.487-494
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    • 2023
  • In this study, performance comparison was performed on R and TensorFlow, which are free deep learning tools. In the experiment, six types of deep neural networks were built using each tool, and the neural networks were trained using the 10-year Korean temperature dataset. The number of nodes in the input layer of the constructed neural network was set to 10, the number of output layers was set to 5, and the hidden layer was set to 5, 10, and 20 to conduct experiments. The dataset includes 3600 temperature data collected from Gangnam-gu, Seoul from March 1, 2013 to March 29, 2023. For performance comparison, the future temperature was predicted for 5 days using the trained neural network, and the root mean square error (RMSE) value was measured using the predicted value and the actual value. Experiment results shows that when there was one hidden layer, the learning error of R was 0.04731176, and TensorFlow was measured at 0.06677193, and when there were two hidden layers, R was measured at 0.04782134 and TensorFlow was measured at 0.05799060. Overall, R was measured to have better performance. We tried to solve the difficulties in tool selection by providing quantitative performance information on the two tools to users who are new to machine learning.