• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.443-460
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• 2012

Technology is closely related to industrial development and various studies have been performed to understand the linked structure for knowledge flow between the technology and industry. The research, however, wasn't carried out to flow for Korea National Research and Development projects. In this study, linked structure for technology-industry was discussed by utilizing patent data performed in actual National R&D using NTIS Information of the national research and development, and then it was analyzed how knowledge flows between the technology and industry are flowing. It should be defined that the individual applications expected by researchers at the start of the research and technology-industry applications actually applied from the research performances after research was completed. As a result, it was confirmed in most projects the flow of knowledge was occurring to predicted industries before the start of the R&D. However, the technology was applied to unexpected industry in three industries such as Y09(medical, precision and optical instruments), Y10(electrical and mechanical equipment), Y11(automotive and transportation equipment). The results of this study will be able to contribute to planning for efficient investment strategy of technology-industry by investigating the technology-industry knowledge flow relations of national R&D projects.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.191-201
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• 2016

The purpose of this study was to explore the correlation among professional self-concept, self-efficacy and job satisfaction and to identify the effect of professional self-concept and self-efficacy on job satisfaction in general hospital nurses. Questionnaires were completed by 156 nurses who were working for one general hospital in Busan. The mean score of professional self-concept and self-efficacy were $3.02{\pm}0.23$ and $2.92{\pm}0.21$ respectively. The mean score of job satisfaction was $2.76{\pm}0.26$. With respect to job satisfaction, the correlations were .325 (p<.001) for professional self-concept and .212 (p=.008) for self-efficacy. As integrate of the study result showed job satisfaction had correlation to professional self- concept and self-efficacy. The regression model explained 12.6% of job satisfaction. Professional self-concept was factor influencing job satisfaction. So professional self-concept enhancement strategies and self-efficacy improvement programs should be developed to improve job satisfaction.

• Journal of the Korean Geographical Society
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• v.51 no.5
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• pp.633-649
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• 2016

Exposure to high temperatures during the reproductive period of crops decreases their productivity. The Intergovernmental Panel on Climate Change's (IPCC) fifth Assessment Report predicts that the frequency of high temperatures will continue to increase in the future, resulting in significant impacts on the world's food supply. This study evaluate climate change-induced heat stress on four major agricultural crops (rice, maize, soybean, and wheat) at a global level, using the coupled atmosphere-ocean model of Hadley Centre Global Environmental Model version 2 (HadGEM2-AO) and FAO/IIASA Global Agro-Ecological Zone (GAEZ) model data. The maximum temperature rise ($1.8-3.5^{\circ}C$) during the thermal-sensitive period (TSP) from the baseline (1961-1990) to the future (2070-2090) is expected to be larger under a Representative Concentration Pathway (RCP) 8.5 climate scenario than under a RCP2.6 climate scenario, with substantial heat stress-related damage to productivity. In particular, heat stress is expected to cause severe damage to crop production regions located between 30 and $50^{\circ}N$ in the Northern Hemisphere. According to the RCP8.5 scenario, approximately 20% of the total cultivation area for all crops will experience unprecedented, extreme heat stress in the future. Adverse effects on the productivity of rice and soybean are expected to be particularly severe in North America. In Korea, grain demands are heavily dependent on imports, with the share of imports from the U.S. at a particularly high level today. Hence, it is necessary to conduct continuous prediction on food security level following the climate change, as well as to develop adaptation strategy and proper agricultural policy.

• Journal of Navigation and Port Research
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• v.36 no.5
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• pp.401-407
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• 2012

The purpose of this study was to examine the preferences to yacht tourism and perceptions to importance of yacht tourism industry's activation strategies from consumers perspectives. In order to such a purpose, this study employed survey methodology with a total of 300 visitors to yacht facility and beach located in B metropolitan city. With 265 usable questionnaires, data collected were analyzed using descriptive statistics such as frequency, percentage, mean and standard deviation. Accordingly, following findings were derived from current study. First, 32% of participants had yacht tourism experiences and more than 64% of them had willing to purchase yacht tourism products in the future, which indicates optimistic increases in yacht tourism demand. In addition, amount of willingness to pay for yacht tourism was less than 100 thousand Won per day. Second, the most preferred product was a yacht training and experience program, and preferred time for yacht tourism was weekend and or vacation with the period of one day or one night and two days. The main motivation was to spend leisure time and enjoyment with accompanying persons of family or friend members. Third, consumers' restriction factors included high expenditures, time consuming and lack of various yacht tourism products but their selection attributes included low expenditures, associated tourism products and quality of yacht tourism products. Finally, the most important activation strategies included the development of yacht tourism products, building yacht tourism conditions and establishing marketing strategies, but the least important activation strategies from consumers views included policies, experts and facilities.

• Journal of Distribution Science
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• v.7 no.4
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• pp.27-36
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• 2009

In the performance of this research we aimed at surveying·studying the trouble factors, problems and improvement plans to extend agricultural products and agro-food and providing basic data for the globalization of Korean agricultural products and agricultural foods in future. All the respondents highly recognized, in general, the problems in exporting agricultural products and agro-food, and it was surveyed that the biggest reason lay in the insufficiency of the scout for new buyers and the lack in opening overseas market and marketing specialists. As for the problems of the supporting system of the export of agricultural products, it was pointed out that the level of recognition was fairly high, but the procedures were difficult, and they indicated the problems of non-benefits in spite of the recognition of the selection. For the purpose, it could be known that it required the publicity and education as to export supporting system, and also required the extension of export supporting system and the improvement of the system. Finally, in relation with the export promotion plan, the factors blocking the export promotion of agricultural products marked the highest in the weak management size and production foundation and the lack in export mind and special workforce. Therefore, considering that most of exporters of agricultural products are small/medium sized businesses, we foresaw that we lack in the opening of overseas market and the capacity of marketing activities, and analyzed that it was necessary to open an overseas market in the dimension of the government and cooperate with the marketing to solve the problems.

• Journal of Korean Society of Disaster and Security
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• v.14 no.3
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• pp.17-27
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• 2021

In this study, classification models were built using machine learning techniques that can classify the soil creep risk into three classes from A to C (A: risk, B: moderate, C: good). A total of six machine learning techniques were used: K-Nearest Neighbor, Support Vector Machine, Logistic Regression, Decision Tree, Random Forest, and Extreme Gradient Boosting and then their classification accuracy was analyzed using the nationwide soil creep field survey data in 2019 and 2020. As a result of classification accuracy analysis, all six methods showed excellent accuracy of 0.9 or more. The methods where numerical data were applied for data training showed better performance than the methods based on character data of field survey evaluation table. Moreover, the methods learned with the data group (R1~R4) reflecting the expert opinion had higher accuracy than the field survey evaluation score data group (C1~C4). The machine learning can be used as a tool for prediction of soil creep if high-quality data are continuously secured and updated in the future.

• International Area Studies Review
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• v.21 no.2
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• pp.121-141
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• 2017

The world whitening cosmetics market is fast being taken in 'complex functional cosmetics' including complex function. And highly functional cosmetics market that call cosmeceutical market is growing up with highly functional cosmetics market. In addition, natural cosmetics market including whitening function is growing up in the world in complex functional cosmetics. Distribution channel of the world functional cosmetics is digital communication through beauty and digital. Global companies are adding relationship in new space between customer and brand. So worldwide change phenomenon of whitening cosmetics distribution channel will suggest importance that it should be able to communication with customer in non-traditional space. Domestic whitening cosmetics market is decreasing to reference compound annual growth rate -3.61%. While complex type market is increasing to annual growth rate 33.28%. Since 2008, domestic whitening cosmetics market was changed in distribution channel of center of traditional door-to-door sales. Especially, online channel is about 1/6 level of offline, but since 2014, year-on-year increase rate of online showed 27.1%. In the future, it is anticipated that ratio of online sales is above offline. Whitening cosmetics distribution is being changed, and online channel is growing up, so domestic companies will need tragedy targeting new whitening cosmetics distribution channel and traditional offline channel at the same time. If new company go into whitening cosmetics market, the new company will have to consider natural cosmetics in complex functional cosmetics than whitening cosmetics market. To secure domestic competitiveness whitening cosmetics market, securing differentiation of brand or pursuing change of distribution channel, and we need to seek a method that company and customer can forge communication in new space.

• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1273-1282
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• 2018

Recently, active research on the Arctic Ocean has been conducted due to the influence of global warming and new Arctic ship route. Although previous studies already calculated quantitative extent of sea ice using passive microwave radiometers, melting at the edge of sea ice and surface roughness were hardly considered due to low spatial resolution. Since Sentienl-1A/B data in Extended Wide (EW) mode are being distributed as free of charge and bulk data for Arctic sea can be generated during a short period, the entire Arctic sea ice data can be covered in high spatial resolution by mosaicking bulk data. However, Sentinel-1A/B data in EW mode, especially in HV polarization, needs significant radiometric correction for further classification. Thus, in this study, we developed algorithms that can correct thermal noise and scalloping effects, and confirmed that Arctic sea ice and open-water were well classified using the corrected dual-polarization SAR data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.520-527
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• 2019

In this study, the technical level and competence of Chungbuk region manufactures were diagnosed and implications for efficiency improvement of cooperation with local universities were derived. The results are as follow. First, in Chungbuk area, 75% of the skilled workers are medium-skilled and high skilled workers. And the life cycle of production products was found to have entered middle/old age. In addition, the industries were overestimating its technology capabilities, including marketing and sales technology, and management technology. Therefore, local universities should develop differentiated program such as technology transfer and commercialization support so that companies can nurture new industries and it is necessary to improve understanding of reality and future prediction ability through various education and seminars. Second, universities in Chungbuk province have failed to meet the practical demands of industry by providing general educational programs such as lifelong education curriculum, rather than the practical training required by industry. First of all, industries needed the practical training programs such as human resource empowerment, technical education and workers' retraining for local industry development. In addition, industries were expected to provide relevant knowledge and infrastructure such as testing, analysis, participation in technology development such as commissioning and joint research. Therefore, universities should prepare customized Industry-Academia Cooperation Programs through industry demand survey in planning. Also, it is necessary to establish various connection points with industry to ensure that industry-academia cooperation will continue and achieve results. Third, the technology of the industries in Chungbuk province was found to be very unrelated to the next generation regional strategic industries. This is not shared vision between industry and local government, Industry-Academia Cooperation Programs will serve as a platform to organize various community entities. Universities will be able to play a key role in between industries and local governments.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.222-234
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• 2020

Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR, LIDAR, camera, IMU, etc. and are driven by recognizing and judging various transportation systems at intersections in the city. The accident ratio of the intersection of the autonomous vehicles is 88% of all accidents due to the limitation of prediction and judgment of an area outside the sensing distance. Not only research on non-signalized intersection collision avoidance strategies through V2V and V2I is underway, but also research on safe intersection driving in failure situations is underway, but verification and fragments through simple intersection scenarios Only typical V2V failures are presented. In this paper, we analyzed the architecture of the V2V module, analyzed the causal factors for each V2V module, and defined the failure mode. We presented intersection scenarios for various road conditions and traffic volumes. we used the ISO-26262 Part3 Process and performed HARA (Hazard Analysis and Risk Assessment) to analyze the risk of autonomous vehicle based on the simulation. We presented ASIL, which is the result of risk analysis, proposed a monitoring concept for each component of the V2V module, and presented monitoring coverage.