• Title/Summary/Keyword: Industry cluster

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Modeling Planned Maintenance Outage of Generators Based on Advanced Demand Clustering Algorithms (개선된 수요 클러스터링 기법을 이용한 발전기 보수정지계획 모델링)

  • Kim, Jin-Ho;Park, Jong-Bae
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.4
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    • pp.172-178
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    • 2006
  • In this paper, an advanced demand clustering algorithm which can explore the planned maintenance outage of generators in changed electricity industry is proposed. The major contribution of this paper can be captured in the development of the long-term estimates for the generation availability considering planned maintenance outage. Two conflicting viewpoints, one of which is reliability-focused and the other is economy-focused, are incorporated in the development of estimates of maintenance outage based on the advanced demand clustering algorithm. Based on the advanced clustering algorithm, in each demand cluster, conventional effective outage of generators which conceptually capture maintenance and forced outage of generators, are newly defined in order to properly address the characteristic of the planned maintenance outage in changed electricity markets. First, initial market demand is classified into multiple demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the initial demand. Then, based on the advanced demand clustering algorithm, the planned maintenance outages and corresponding effective outages of generators are reevaluated. Finally, the conventional demand clusters are newly classified in order to reflect the improved effective outages of generation markets. We have found that the revision of the demand clusters can change the number of the initial demand clusters, which cannot be captured in the conventional demand clustering process. Therefore, it can be seen that electricity market situations, which can also be classified into several groups which show similar patterns, can be more accurately clustered. From this the fundamental characteristics of power systems can be more efficiently analyzed, for this advanced classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

Technology Sourcing Strategies and Cooperative Patterns in Vertical Cooperative R&D Projects (공동연구수행체제 및 참여기업의 기술획득전략-유형별 기업화성과 분석-)

  • 이철원;배종태
    • Journal of Technology Innovation
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    • v.3 no.1
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    • pp.1-34
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    • 1995
  • Since 1982, the government of Korea has actively promoted vertical cooperative R&D programs between government-sponsored research institutes (GRIs) and private firms. A number of firms participated in the programs because cooperative R&D could lower the risk and could contribute to rapid commercialization of many technologies. This paper examines the effectiveness of vertical cooperative R&D projects by the modes of cooperation between GRIs and industrial firms, and analyzes the performance of participating firms' technology sourcing strategies for commercial utilization of cooperative R&D results at the project performed from 1982 to 1989 under the Government-Industry Cooperative R&D Program sponsored by the Ministry of Science and Technology(MOST) in Korea. The cooperative R&D projects are classified into 4 groups by two criteria, i.e., the level of participation of firms, and the breadth of cooperation. The findings suggest that firms should actively participate in cooperative R&D projects. In addition, in order to enhance commercial success, cooperation between GRIs and industrial firms should not be limited to R&D stage only. The breadth of cooperation should be extended to commercialization stage. Small- and medium-sized firms participating in vertical cooperative R&D projects in Korea usually lack internal technological capabilities that are needed to commercialize the results of cooperative R&D. Three different technology sourcing strategies - exclusive cooperative R&D strategy, in-house development augmented cooperative R&D strategy, and licensing-in supplemented cooperative R&D strategy - are empirically derived through cluster analysis of the relative usage rates cooperative R&D and of other supplementary technology acquisition methods. The findings suggest that the firms participating in vertical cooperative R&D projects should try to utilize other supplementary technology acquisition methods in order to achieve commercial utilization of the vertical cooperative R&D results.

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Correspondence Strategy for Big Data's New Customer Value and Creation of Business (빅 데이터의 새로운 고객 가치와 비즈니스 창출을 위한 대응 전략)

  • Koh, Joon-Cheol;Lee, Hae-Uk;Jeong, Jee-Youn;Kim, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.14 no.4
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    • pp.229-238
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    • 2012
  • Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

Cytochrome P450 and the glycosyltransferase genes are necessary for product release from epipyrone polyketide synthase in Epicoccum nigrum

  • Choi, Eun Ha;Park, Si-Hyung;Kwon, Hyung-Jin
    • Journal of Applied Biological Chemistry
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    • v.64 no.3
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    • pp.225-236
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    • 2021
  • The epipyrone (EPN) biosynthetic gene cluster of Epicoccum nigrum is composed of epnC, epnB, and epnA, which encode cytochrome P450 oxidase, glycosyltransferase, and highly reducing polyketide synthase, respectively. Gene inactivation mutants for epnA, epnB, and epnC were previously generated, and it was found that all of them were incapable of producing EPN and any of its related compounds. It was also reported that epnB inactivation abolished epnA transcription, generating ΔepnAB. This study shows that the introduction of native epnC readily restored EPN production in ΔepnC, suggesting that epnC is essential for polyketide release from EpnA and implies that EpnC works during the polyketide chain assembly of EpnA. Introduction of epnC promoter-epnA restored EPN production in ΔepnA. The ΔepnB genotype was prepared by introducing the epnA expression vector into ΔepnAB, and it was found that the resulting recombinant strain did not produce any EPN-related compounds. A canonical epnB inactivation strain was also generated by deleting its 5'-end. At the deletion point, an Aspergllus nidulans gpdA promoter was inserted to ensure the transcription of epnA, which is located downstream of epnB. Examination of the metabolite profile of the resulting ΔepnB mutant via LC-mass spectrometry verified that no EPN-related compound was produced in this strain. This substantiates that C-glycosylation by EpnB is a prerequisite for the release of EpnA-tethered product. In conclusion, it is proposed that cytochrome P450 oxidase and glycosyltransferase work in concert with polyketide synthase to generate EPN without the occurrence of any free intermediates.

Effect of manufacturing and dispersion of zinc crystalline glaze on crystal formation (아연 결정유약의 제조 및 분산이 결정생성에 미치는 영향)

  • Lee, Chiyoun
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.31 no.6
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    • pp.240-246
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    • 2021
  • In the ceramic industry, a drastic decrease in crystalline formation was found even among the glazes well known for their high crystalline productivity when the ceramic glaze was stored in wet conditions over a period. This study aimed to investigate the reason for decreasing willemite crystals during storage. As the starting materials ZnO, calcined ZnO and frit 3110 are selected; the composition for zinc crystalline glazes was set through a three-component system with the materials. The firing condition was used from previous studies. The study was observed how wet conditions affected the crystallization of zinc crystalline glazes from a day to 24 weeks. The results were obtained by particle size analysis, XRD, Raman spectroscopy and SEM analysis. The results indicated that ZnO is advantageous in terms of willemite crystalline development and growth; however, Zn(OH)2 cluster, formed by the reaction with water during the storage, caused the decrease in ZnO level in the glaze. The reduction of ZnO in the glaze eventually interfered the willemite development and growth.

The Terrain Transformation of the Fishing Industry in East Sea Rim: Impact of Entering Chinese Fishing Fleets into East Sea on the Fishery Production, Employment and Life Threat (환동해 어업의 지형 변화: 중국어선의 동해 진출이 어업생산과 고용 및 생존 위협에 미치는 영향)

  • Choi, Young-Jin
    • The Journal of Fisheries Business Administration
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    • v.52 no.1
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    • pp.1-22
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    • 2021
  • This study aims to face common threats from the depletion of fish resources, the decline of production and employment as well as the increase of life risk in East Sea Rim countries, North Korea, South Korea, Japan and Russia due to the Chinese fishing fleets entering East Sea. The recent competition in fishing among fishing vessels and fleets of national origin operating in the East Sea has induced a significant change in the ecological landscape of the fishing fleets cluster while having influenced production and employment in the fishing industries of South Korea and Japan as well as life threat on the fishermen in North Korea. It seems that the population organizational ecological theory can be applied to this change. It can be seen as the isomorphism of the selection process over the exclusive economic zone (EEZ) to avoid the environment in which these North Korean fishing vessels are pushed against the Chinese fleet in the North Korean part of the East Sea. To resolve the fishery disputes or conflict in the common waters in East Sea, first of all, Chinese fishing fleets will be required to put international pressure so as to solve the unfairness of the illegal fishing and overfishing by the International Fishery Organization or the UN violations of the sanctions against North Korea selling fishing rights to China. Although it is not easy for South Korea to cooperate with North Korea in the short term, South Korea will be able to support the fishery infrastructure in North Korea in the mid- to the long-term to prevent the loss of innocent lives for their fishermen and to raise their incomes.

Impact of abnormal climate events on the production of Italian ryegrass as a season in Korea

  • Kim, Moonju;Sung, Kyungil
    • Journal of Animal Science and Technology
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    • v.63 no.1
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    • pp.77-90
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    • 2021
  • This study aimed to assess the impact of abnormal climate events on the production of Italian ryegrass (IRG), such as autumn low-temperature, severe winter cold and spring droughts in the central inland, southern inland and southern coastal regions. Seasonal climatic variables, including temperature, precipitation, wind speed, relative humidity, and sunshine duration, were used to set the abnormal climate events using principal component analysis, and the abnormal climate events were distinguished from normal using Euclidean-distance cluster analysis. Furthermore, to estimate the impact caused by abnormal climate events, the dry matter yield (DMY) of IRG between abnormal and normal climate events was compared using a t-test with 5% significance level. As a result, the impact to the DMY of IRG by abnormal climate events in the central inland of Korea was significantly large in order of severe winter cold, spring drought, and autumn low-temperature. In the southern inland regions, severe winter cold was also the most serious abnormal event. These results indicate that the severe cold is critical to IRG in inland regions. Meanwhile, in the southern coastal regions, where severe cold weather is rare, the spring drought was the most serious abnormal climate event. In particular, since 2005, the frequency of spring droughts has tended to increase. In consideration of the trend and frequency of spring drought events, it is likely that drought becomes a NEW NORMAL during spring in Korea. This study was carried out to assess the impact of seasonal abnormal climate events on the DMY of IRG, and it can be helpful to make a guideline for its vulnerability.

Analysis of Defense Communication-Electronics Technologies using Data Mining Technique (데이터 마이닝 기법을 이용한 군 통신·전자 분야 기술 분석)

  • Baek, Seong-Ho;Kang, Seok-Joong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.6
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    • pp.687-699
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    • 2020
  • The government-led top-down development approach for weapons system faces the problem of technological obsolescence now that technology has rapidly grown. As a result, the government has gradually expanded the corporate-led bottom-up project implementation method to the defense industry. The key success factor of the bottom-up project implementation is the ability of defense companies to plan their technologies. This paper presented a method of analyzing patent data through data mining technique so that domestic defense companies can utilize it for technology planning activities. The main content is to propose corporate selection techniques corresponding to the defense communication-electronics sectors and conduct principal component analysis and cluster analysis for the International Patent Classification. Through this, the technology was classified into four groups based on the patents of nine companies and the representative enterprises of each group were derived.

ICT-oriented Training of Future HEI Teachers: a Forecast of Educational Trends 2022-2024

  • Olena, Politova;Dariia, Pustovoichenko;Hrechanyk, Nataliia;Kateryna, Yaroshchuk;Serhii, Nenko
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.387-393
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    • 2022
  • The article reflects short-term perspectives on the use of information and communication technologies in the training of teachers for higher education. Education is characterized by conservatism, so aspects of systematic development of the industry are relevant to this cluster of social activity. Therefore, forecasting the introduction of innovative elements of ICT training is in demand for the educational environment. Forecasting educational trends are most relevant exactly in the issues of training future teachers of higher education because these specialists are actually the first to implement the acquired professional skills in pedagogical activities. The article aims to consider the existing potential of ICT-based learning, its implementation in the coming years, and promising innovative educational elements that may become relevant for the educational space in the future. The tasks of scientific exploration are to show the optimal formats of synergy between traditional and innovative models of learning. Based on already existing experience, extrapolation of conditions of educational process organization with modeling realities of using information and communication technologies in various learning dimensions should be carried out. Educational trends for the next 3 years are a rather tentative forecast because, as demonstrated by the events associated with the COVID-19 pandemic, the socio-cultural space is very changeable. Consequently, the dynamism of the educational environment dictates the need for a value-based awareness of the information society and the practical use of technological advances. Thus, information and communication technologies are a manifestation of innovative educational strategies of today and become an important component along with traditional aspects of educational process organization. Future higher education teachers should develop a training strategy taking into account the expediency of the ICT component.

Automation Review of Road Design Standard using Visual Programming (비주얼 프로그래밍 기법을 활용한 도로설계기준 자동검토 방안)

  • Hyoun-seok Moon;Hyeoun-seung Kim
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.891-898
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    • 2022
  • Purpose: There is not much time left for mandatory BIM implementation for all sectors and stages of the construction industry. Therefore, it is necessary to find a way to secure technology to substantially improve the productivity of BIM work. In the research, we proposed a method to automatically verify related construction standards for major objects produced by BIM modeling procedures so that engineers can verify construction standards in the BIM-based design process. Method: We defined a modeling work procedure for BIM-based road design work and prepared a method for constructing related design standards in a database. In addition, a process map for developing a BIM-based design basis review automation system was also presented. Result: A BIM-based design standard review automation module was developed using Civil3D and Dynamo. And it was confirmed by the test application that it is possible to quickly judge whether the BIM object manufactured in the design process conforms to the construction design standard. Conclusion: BIM-based design standard review automation technology can improve the productivity of BIM model production work and secure the quality of the BIM model.