• Journal of Korean Society of Environmental Engineers
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• v.30 no.8
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• pp.798-807
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• 2008

Due to economic impairment derived from metal corrosion of pumping station installed around coastal area, it was needed for related cause-effect to be investigated for understanding practical corrosion behavior and providing proper control. This research was thus carried out to determine whether the microbe can influence on metal corrosion along with its control in the laboratory. For this study, groundwater was sampled from the underground pump station(i.e. I Gas Station) where corrosion was observed. Microbial diversity on the samples were then obtained by 16S rDNA methods. From this, microbial populations showing corrosion behaviors against metals were reported as Leptothrix sp.(Iron oxidizing) and Desulfovibrio sp.(Sulfur reducing) Iron oxidizing bacteria were dominantly participating in the corrosion of iron, while sulfate reducing bacteria were more preferably producing precipitate of iron. In case of galvanized steel and stainless steel, iron oxidizing bacteria not only enhanced the corrosion, but also generated its scale of precipitate. Sulfate reducing bacteria had zinc steel corroded greater extent than that of iron oxidizing bacteria. In the inactivation test, chlorine or UV exposure could efficiently control bacterial growth. However as the inactivation intensity being increased beyond a threshold level, corrosion rate was unlikely escalated due to augmented chemical effect. It is decided that microbial corrosion could be differently taken place depending upon type of microbes or materials, although they were highly correlated. It could be efficiently retarded by given disinfection practices.

• Journal of the Korea Organic Resources Recycling Association
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• v.22 no.4
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• pp.28-44
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• 2014

Due to development of the national economy growth, livestock goods consumption has rapidly increased over the past 30 years. It has led livestock breeders to increase their livestock numbers. An increased number of livestock have consequently resulted in an increasing animal feces generation. According to the agricultural statistics provided by the Bureau of Statistics, livestock manure amounts to 47,235 thousand tons in 2013. To treat livestock manure, various types of treatment facilities like composting, liquid fertilization, purification, and anaerobic digestion facilities are being applied. In composting facility, there are four kinds of agitation system: escalator, paddle, screw and rotary type. In case of liquid fertilization process, there are two types of system: aeration and anoxic type. There are about 8,000 liquid fertilization facilities for treatment livestock manure in Korea. For purification of livestock manure, the treatment process is divided by three steps: Solid/Liquid separation process, Secondary purification process and advanced oxidation process. About 21 thousand tons of livestock manure was treated by anaerobic digestion facility in 2012. In every type of facility for livestock manure treatment, it is very important to choose the optimal deodorization equipment for the livestock manure treatment facility. In this study, the investigation has been carried out for six years to analyse the characteristics of livestock manure treatment facilities and related technique of Korea.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.406-430
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• 2007

Most pharmaceutical licensing deals are made in the early stage of drug development. While this development process is not unique for complicated technology, a special feature of drug development is that it is highly regulated and a well-defined process. Its statistics in terms of costs and chances of technical success have been researched extensively. This enables relatively detailed calculations as benchmarks for actual deals to be made. Based on such calculations and on the analysis of licensing terms in published agreements, various companies offer quite expensive information, databases, software programs and consultation services to help establish what might be reasonable economic terms in a licensing deal. Over the years, pharmaceutical royalties have been the subject of various articles in journals. Most specific on this subject was the article on determining pharmaceutical royalties. Many other articles are about a more general nature deal with determining reasonable royalty rates, evaluating and underpinning the empirical value and usefulness of the 25% rule. The object of this article is to provide a relatively simple analytical approach based on the major economic terms underlying pharmaceutical licensing deals. The aim is to enhance the understanding of the relations between the major factors involved. Details are disregarded, as generally, where the terms of licensing deals depend on predictions over a considerable length of time, the value of detail is limited. Some specific issues addressed by the approach are the impact on profits of large investments, high risks and long development times characteristic of drug development, the consequent strong impact that the ultimate sales levels and operating margins may have on what might be considered a reasonable royalty rate, and the relationship between upfront payments and milestone payments to be paid during pharmaceutical development and the royalties due once the drug enters the market.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.175-204
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• 2017

The existing innovation policies and strategies mainly focused on the influencing factors for improvement of innovation outcome. However, these strategies were not always successful in driving innovative activities that make technology innovation disseminated. In this regard, innovation ecosystems approach has recently been coming to the force to establish a successful innovation strategy. The innovation ecosystems concept describes that innovation processes are evolved through collaborative networks of economic actors. In an innovation ecosystem, different organizations collaborate for technology development and its use. They interact for value co-creation by sharing mutual resources. The organizational networks are re-organized by dynamic changes of actors' interactions, which drive innovation mechanism of the networks. Recent studies on innovation ecosystems mostly have paid attention on developing theoretical frameworks to describe dynamics of an innovation ecosystem. There have hardly been empirical tests on the theoretical ecosystem models. In this vein, we investigated dynamics of an innovation ecosystem by analyzing structural characteristics of a collaborative network among organizations which are involved in the use of innovative technologies. Particularly, we examined the longitudinal changes of the interaction patterns among the organizations. This test was performed by an analysis of structural equivalence on the network dataset transformed from the organizational interactions. This result provides a guideline for an organization in developing an innovation strategy under a systemic perspective.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.521-529
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• 2020

Forest fires are one of the most important environmental risks that have adverse effects on many aspects of life, such as the economy, environment, and health. The early detection, quick prediction, and rapid response of forest fires can play an essential role in saving property and life from forest fire risks. For the rapid discovery of forest fires, there is a method using meteorological data obtained from local sensors installed in each area by the Meteorological Agency. Meteorological conditions (e.g., temperature, wind) influence forest fires. This study evaluated a Data Mining (DM) approach to predict the burned area of forest fires. Five DM models, e.g., Stochastic Gradient Descent (SGD), Support Vector Machines (SVM), Decision Tree (DT), Random Forests (RF), and Deep Neural Network (DNN), and four feature selection setups (using spatial, temporal, and weather attributes), were tested on recent real-world data collected from Gyeonggi-do area over the last five years. As a result of the experiment, a DNN model using only meteorological data showed the best performance. The proposed model was more effective in predicting the burned area of small forest fires, which are more frequent. This knowledge derived from the proposed prediction model is particularly useful for improving firefighting resource management.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.562-575
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• 2015

This study aims to draw a Housing development scheme of elderly housing, including the urban, suburban and resort type according to location type, which is based on a Demanding Characteristics of preliminary elderly for elderly housing. In addition, The comprehensive implication tells that the preliminary elderly who wants the urban elderly housing type have a more personal characteristics than other types. So it should be considered according to personal characteristics. Next, when we choose the suburban elderly housing type and predict the demand for housing development, it should not only considers factors such as the Unmarried children, Health status, Current housing size and Plans for economic activity in old age but also considers factors such as the Accessibility, Convenience, Investment and Environment characteristics of elderly housing preference. Next, when we choose the resort elderly housing type which based on the fact that a few detailed parameters of current housing characteristics exist, it should be based on the current housing characteristics of preliminary elderly. In addition, it should consider a pre-investigation for elderly housing preference in order to select the housing type. Because a comprehensive preference such as the comfort, convenience, safety, investment, environmental characteristics is considered as major determinants factors.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.34-45
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• 2018

In Korea, there are a lot of regulation on gambling industry. Among them, the most unique regulation is the CAP system. The purpose of CAP system is to minimize the social side effects of gambling industry. For that, National Gambling Control Commission controls the maximum number of business premises of gambling companies. The CAP system is a means of preventing excessive expansion of the gambling industry. The CAP system has lasted since 2009. This study investigate how the CAP system influence the structure of gambling industry. In result, after the CAP system carried out, the growth rates of gambling industry are similar to those of national GDP. And before the CAP system, the HHI index and CR index were decreasing trend. However, after the CAP system, the HHI index and CR index were not decreasing. That means the structure of gambling industry has been stable and settled. And there were few variation among the gambling companies in sales. In conclution, the CAP system influenced the gambling industry to be stable. There were few competition among the gambling companies in Korea. And the structure of gambling industry has been settled.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.1-21
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• 2007

Among numerous policy influencers' and researchers' advices and policy suggestions, there is little opposition to the proposition that technology is essential to the economic development. The role of technology has never been more emphasized than today in Korea as in any other countries. The effects of the government's innovation policy on corporate R&D activities and more broadly the economic welfare of a whole nation are widely recognized with intuitional and empirical evidence. That is, various R&D incentives reduce the marginal cost of a firm's R&D efforts, inducing as much increase of its R&D investment to result in a better chance to acquire target technology. This paper examines the impact of R&D incentives on the technological outcomes by analyzing individual firms' investment behaviors subject to the government's R&D incentive policies. An econometric model of technological outcomes is estimated on a project level with cross-sectional data. "Probit model" is employed for estimations. Special attention was given to the effectiveness of R&D programs by estimating policy impact by types of investment. The data were collected from 928 different R&D projects completed between 1987 and 1993. With the single equation approach, we were able to find that the structure of investment is a far more significant factor in technological outcomes than the total amount of investment. The analysis also shows that the two types of firms' matching investment, in-kind and cash, do not bear a complementary, but a substitutive relations to each other. It also reconfirms the proposition that R&D incentives increase firm's financial investment. Despite many supportive studies emphasizing the cooperation between innovation performers, it is also found that the larger the number of institutions involved in a project, the less likely it leads to a technological success, And meeting the proposed deadlines without postponing is estimated to be a good barometer to predict the outcome of an R&D project. Also the probabilities of success for major variables are represented for policy implications, after calculating marginal effects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.143-153
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• 2018

Environmental regulations, which are discussed through the International Maritime Organization, focus on two aspects: the economic supply of fuel oil and, ultimately, securing next-generation energy sources. At present, there are limitations in relation to the basic quality of fuel oil and the direct relation through basic quality when applied to ships and traps in relation to environmental regulations, and the standard for the basic quality of fuel oil is generally used. There are many cases where the composition is very complicated, and the interpretation and analysis of basic quality deviate from the range of the basic standard. In other words, it is difficult to classify and apply the problem when analyzing it in connection with fuel quality and ship operations. In this paper are various factors for the basic quality of fuel oil, and a proposed possibility for the scope of the standard.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1972-1975
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• 2008

우리 인간이 수원으로 가장 많이 이용하는 지표수의 이동 및 저장 역할을 하는 호소는 자연환경과 인간을 이어주는 중요한 매개체임은 분명하다. 그러나 최근에 경제 성장만을 위주로 발전을 추구해온 결과, 급격한 산업화에 따른 도시지역으로의 인구 집중 현상은 호소에 자연적 혹은 인위적으로 큰 영향을 주고 있다. 하천의 자정능력을 초과하여 발생하는 오염물질이 신갈 저수지로 유입되어 생태계를 파괴하고, 하천의 최종 유입지인 호소의 오염을 가중시켰다. 경기도 용인시, 화성군, 오산시 지역의 농 공업용수의 공급원으로 이용되고 있는 신갈 저수지로 유입하는 하천 역시 도시로의 인구 집중으로 인한 막대한 생활하수와 주변 지역에 조성된 공장에서 발생하는 사업장 배수의 유입으로 인해 심각하게 오염되어 신갈 저수지의 오염을 가중시키고 있다. 현재 용인시에서는 기흥 호수공원을 2010년까지 신갈 저수지 일대 118만평에 여가와 문화, 휴양시설이 연계된 대규모 유원지로 조성한다는 계획을 가지고 있다. 이에 본 연구에서는 신갈 저수지의 퇴적물 오염도를 조사하여 호수공원 조성 시 기초 데이터의 확충 및 현황파악을 위하여 신갈 저수지의 퇴적물에 대한 모니터링을 실시하였다. 측정 시기는 1차(2007년 7월)와 2차(2007년 10월)로 총 2회 실시하였으며, 조사 지점선정은 수역 전체의 특성을 가장 대표할 수 있는 지점(호심 또는 가장 깊은 곳 등), 주요 유입하천수가 유입된 후 충분히 혼합되는 지점, 호수가 유출되는 지점, 폐수나 하수의 유입으로 항상 오염이 인정되는 지점을 고려하여 신갈저수지의 6지점을 선정하여 조사하였다. 퇴적물 분석항목 중 VS, COD, T-N, T-P, 중금속 농도를 중심으로 신갈 저수지의 퇴적물 오염도를 조사하였다. 각 지점별 1차 퇴적물 조사 결과, VS $23.1{\sim}46.6\;g/kg$, COD $8.5{\sim}26.4\;mg/g$, T-N $0.35{\sim}1.52\;mg/g$, T-P $0.60{\sim}1.05\;mg/g$ 등의 농도로 조사되었으며, 중금속은 수은, 시안, 카드뮴은 검출되지 않았고 구리의 농도는 $0.1{\sim}0.6\;mg/kg$, 납의 농도는 $2.1{\sim}3.5\;mg/kg$로 조사되었다. 또한 각 지점별 2차 퇴적물 조사 결과, VS $22.8{\sim}41.4\;g/kg$, COD $7.9{\sim}21.5\;mg/g$, T-N $0.31{\sim}1.44\;mg/g$, T-P $0.82{\sim}1.01\;mg/g$ 등의 농도로 조사되었으며, 중금속은 수은, 시안, 카드뮴은 검출되지 않았고 구리의 농도는 $0.2{\sim}0.7\;mg/kg$, 납의 농도는 $2.4{\sim}3.8\;mg/kg$로 조사되었다. 본 연구의 조사 결과는 앞으로 호수공원이 조성되는 신갈 저수지를 효율적으로 관리함에 있어 중요한 근거자료가 될 수 있을 것으로 판단된다.