• Title/Summary/Keyword: 핵심기반시설

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Spatial problems of Korea -A delphi survey- (國土管理의 方向定立을 위한 國土診斷 -專門家 集團의 問題意識을 中心으로-)

  • Kim, Inn;Yu, Woo-Ik;Huh, Woo-Kung;Park, Young-Han;Park, Sam-Ock;Yu, Keun-bae;Choi, Byung-Seon
    • Journal of the Korean Geographical Society
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    • v.29 no.1
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    • pp.16-38
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    • 1994
  • The spatial structure of Korea has been changed drastically during the second half of this century. The events such as the Korean War and the resultant division of the Korean Peninsular into two Koreas, rapid industrialization and urbanization are the major causes among others for the spatial changes of the nation. The changes in turn have spawned a number of spatial problems. It is time, we argue, to diagnose how much the nation is now ill-structured, and to discuss of which directions the long-term spatial management be reoriented. A delphi survey was conducted during the early 1993 to fulfill such research needs. Questionnaires were distributed among geographers, planners, and high governmental officials throughout the nation. These 'experts of spatial problems' were requested to evaluate the past spatial policies and strategies, and to identify spatial and environmental problems at the national, regional and local levels. The survey included questions with regard to the spatial problems in North Korea too. A complementary literature survey in the fields of spatial sciences was accomplished as well in order to identify the major research interests and issues with regard to the nations's spatial structure. The delphi survey results indicatee that the present spatial structure: in relation to consumption, housing and economic activities is satisfactory in overall, while rather poor in terms of education, leisure and community activities. Most of the experts consider infrastructural improvements are urgent in the areas of roads, waste disposal facilitles, railroads, harbors, water supply and drainage systems. The over-concentration of economic, social and political function in the Seoul Metropolitan Region is perceived to be the most serious spatial problem in Korea. The long-term solutions suggested are strategies toward a more balanced regional development as well as toward a cleaner environment. The concensus among the experts for the short-term solution is the redistribution of population and industries from the Seoul Metropolitan Region to the intermediate and small cities. The land use policies and concurrent large-scale infrastructural projects are evaluated largely pertinent and desirable in general. It is, however, suggested that development projects be conducted in a more harmonious way with environment. The survey respondents suggest that the present environmental management policies should be reexamined critically. With regard to regional and local problems, transportation and pollutions are thought to be most serious in the Seoul Metropolitan Region, while employment opportunities, and information, education and health care services are most deprived in small cities and rural areas. The majority of the experts consider a city size of 250, 000-500, 000 population is desirable to live within. Respondents beileve that North Korea's physical environment is still not aggravated much whereas its infrastructural provisions are largely pool. The co-authors of this research figure a "environmentaly sound and spatially balanced Korean Penninsular" as the ideal type of spatial structure in Korea. The basic guidelines toward this ideal prototype are suggested: the recovery of spetial integrity, progressive restructuring of the nation, land uses geared to public welfare rather than private interests, and eco-humanistic approach in spatial policies.

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담배자판기, 신규설치 금지 및 철거 규제안 철회되다

  • 한국자동판매기공업협회
    • Vending industry
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    • v.2 no.5 s.6
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    • pp.56-62
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    • 2002
  • 담배자판기의 신규설치를 금지하고 기존 설치된 자판기마저 전면철거하도록 하는 보건복지부의 초강력 규제안이 마침내 철회가 되게 되었다. 보건복지부는 올 들어 확대되는 금연정책에 편승, 기존 흡연 구역 내 담배자판기 신규설치를 금지하고, 기존 설치된 제품들마저 전면철거하는 규제를 담은 국민건강증진법 시행령 개정안을 지난 4월 공고하며 그 입법추진을 진행한 바 있다. 이 공고안은 그간 국무총리실 산하 규제개혁위원회 분과위원회에 상정되어 1,2차 심의를 진행해 오다 지난 9월 27일 본회의를 통해 '보건복지부의 흡연구역 내 담배자판기 신규설치 금지 및 기존 자판기 철거는 명백히 영업활동 자유 및 재산권 침해에 해당된다.'는 이유로 이를 철회토록 하는 결정을 진행했다. 이 결정을 담은 국민건강증진법 개정안은 조만간 법제처 심사 및 차관회의 등을 거쳐 최종 확정 되게 된다. 이같은 규제개혁위원회의 결정은 협회를 중심으로 한 산업의 적극적인 대응이 있었기에 가능했다. 성인인증장치 도입을 통해 청소년 흡연문제를 완전, 해결하겠다는 산업계의 적극적인 자율대책에도 불구하고 아예 담배자판기를 뿌리 채 뽑겠다는 보건복지부의 행정만능주의적인 발상은 도저히 수용하지 못할 부당한 처사라는 데 관련업계가 인식을 같이 했다. 따라서 이를 반대하는 산업계 입장을 분명히 하며 분명히 하며 적극적인 저지 대응을 최근까지 진행해 왔다. 협회에서는 1차적으로 보건복지부 건강증진과에 담배자판기 전면철거에 대한 산업계 반대 입장을 피력하는 소견서 제출하고 적극적인 산업계의 반대의지를 피력하는 작업을 진행했다. 또한 청소년보호위원회를 통해 청소년 흡연감소를 위한 성인인증 담배자판기 설치 활용방안 건의하며 담배자판기의 긍정적인 활용측면을 집중 부각시키기도 했다. 재정경제부를 통해서는 담배사업법 관련 담배자판기 설치기준에 대한 질의를 통해 현행 관련법 내에서의 설치기준을 명확히 하기도 했다. 이같은 대응에 있어서의 핵심 설득 논리는 담배자판기가 이제는 성인인증장치 부착을 통해 청소년 및 사회적 위해 요인을 극소화 할 수 있다는 점에 있었다. 과거와는 달리 담배자판기가 오히려 청소년의 담배 구입루트 차단이라는 긍정적 역할을 할 수 있는 시점에 있어 이를 전면규제하기보다는 합법적인 설치 환경을 확보하여 사회적으로 떳떳하게 존재가치를 평가받을 수 있게 해달라는게 산업계의 초지일관의 주장이었던 것. 협회는 이같은 주장이 결코 산업계의 이기만이 아니라 세계적인 추세라는 점, 또 담배자판기를 전면철거까지 하면서 과당규제를 할 명분이 부족하다는 점을 반대논리로 적극 내세웠다. 규제개혁위원회가 이번 공공 이용시설 중 흡연구역으로 지정된 장소 내에 담배자판기는 설치 금지 및 철거규제에 철회권고를 내리게 된 것은 이러한 산업계의 주장을 적극 수용함에 힘입은 바 크다. 규제개혁위원회는 이번 결정의 주된 이유로 우선 기설치된 자판기에 대한 철거는 재산권 침해로 위헌 소지가 있음을 들고 있다. 또한 흡연자를 위한 흡연구역내에서마저 자판기 설치를 금지하는 등의 규제는 과도하며 흡연자의 권익보호 역시도 필요함을 인정하고 있다. 따라서 전면적인 규제보다는 청소년 이용통제 가능한 흡연구역에 한하여 담배자판기를 설치토록한 현행규정의 실질적 관리를 강화하며, 전체적으로 흡연구역을 축소 제한하는 방향으로 추진함이 바람직하다는 의견을 제시했다. 규제개혁위원회의 이번 결정으로 흡연구역 내 담배자판기의 설치는 현행법의 적용을 받게 되며, 산업계의 자율대책대로 성인인증 장치를 부착한 담배자판기의 설치 확대가 크게 촉발될 수 있을 것으로 기대된다. 담배자판기가 적극적이고 능동적인 사회적 역할을 할 수 있을 때 자연 이를 반대할 수 있는 명분도 약해질 수 밖에 없다. 산업계는 보다 신뢰성 있게 청소년 이용을 차단할 수 있는 담배자판기 관련 기술 수준을 향상시켜야 할 것이며, 협회에서는 담배자판기의 공공성과 역할에 대한 지속적인 계몽 홍보를 통해 소비자 인식을 고양시켜 나갈 수 있게 해야 할 것이다. 비록 전면 규제 완화가 어렵고 힘든 길이기는 하지만 소비자에게 신뢰성을 부여하고 청소년의 담배 구입 루트 차단에 혁혁한 역할을 다할 수 있게 된다면 그 입지기반을 재평가 받을 수 있게 될 것이다. 담배자판기의 내일은 이제 암울함이 아닌 서서히 희망을 비치는 쪽으로 급선회되고 있다.

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Analysis of Contribution to Net Zero of Non-Urban Settlement - For Green Infrastructure in Rural Areas - (비도시 정주지의 탄소중립 기여도 분석 - 농촌지역 그린인프라를 대상으로 -)

  • Lee, Dong-Kyu;An, Byung-Chul
    • Journal of the Korean Institute of Landscape Architecture
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    • v.50 no.3
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    • pp.19-34
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    • 2022
  • This study was conducted to provide basic data that can be used when establishing Net Zero policies and implementation plans for non-urban settlements by quantitatively analyzing the Net Zero contribution to green infrastructure in rural areas corresponding to non-urban settlements. The main purpose is to first, systematize green infrastructure in rural areas, secondly derive basic units for each element of green infrastructure, and thirdly quantify and present the impact on Net Zero in Korea using these. In this study, CVR(Content Validity Ration) analysis was performed to verify the adequacy of green infrastructure elements in rural areas derived through research and analysis of previous studies, is as follows. First, Hubs of Green infrastructure in rural area include village forests, wetlands, farm land, and smart farms with a CVR value of .500 or higher. And Links of Green infrastructure in rural area include streams, village green areas, and LID (rainwater recycling). Second, the basic unit for each green infrastructure element was presented by classifying it into minimum, maximum, and median values using the results of previous studies so that it could be used for spatial planning and design for Net Zero. Third, when Green infrastructure in rural areas is applied to non-urban settlements in Korea, it is analyzed that it has the effect of indirectly reducing CO2 by at least 70.76 million tons and up to 141.16 million tons. This is 3.4 to 6.7 times the amount of CO2 emission from the agricultural sector in 2019, and it can be seen that the contribution to Net Zero is very high. It is expected to greatly contribute to the transformation of the ecosystem. This study quantitatively presented the carbon-neutral contribution to settlements located in non-urban areas, and by deriving the carbon reduction unit for each element of green infrastructure in rural areas, it can be used in spatial planning and design for carbon-neutral at the village level. It has significance as a basic research. In particular, the basic unit of carbon reduction for each green infrastructure factors will be usable for Net Zero policy at the village level, presenting a quantitative target when establishing a plan, and checking whether or not it has been achieved. In addition, based on this, it will be possible to expand and apply Net Zero at regional and city units such as cities, counties, and districts.

An Ontology Model for Public Service Export Platform (공공 서비스 수출 플랫폼을 위한 온톨로지 모형)

  • Lee, Gang-Won;Park, Sei-Kwon;Ryu, Seung-Wan;Shin, Dong-Cheon
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.149-161
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    • 2014
  • The export of domestic public services to overseas markets contains many potential obstacles, stemming from different export procedures, the target services, and socio-economic environments. In order to alleviate these problems, the business incubation platform as an open business ecosystem can be a powerful instrument to support the decisions taken by participants and stakeholders. In this paper, we propose an ontology model and its implementation processes for the business incubation platform with an open and pervasive architecture to support public service exports. For the conceptual model of platform ontology, export case studies are used for requirements analysis. The conceptual model shows the basic structure, with vocabulary and its meaning, the relationship between ontologies, and key attributes. For the implementation and test of the ontology model, the logical structure is edited using Prot$\acute{e}$g$\acute{e}$ editor. The core engine of the business incubation platform is the simulator module, where the various contexts of export businesses should be captured, defined, and shared with other modules through ontologies. It is well-known that an ontology, with which concepts and their relationships are represented using a shared vocabulary, is an efficient and effective tool for organizing meta-information to develop structural frameworks in a particular domain. The proposed model consists of five ontologies derived from a requirements survey of major stakeholders and their operational scenarios: service, requirements, environment, enterprise, and county. The service ontology contains several components that can find and categorize public services through a case analysis of the public service export. Key attributes of the service ontology are composed of categories including objective, requirements, activity, and service. The objective category, which has sub-attributes including operational body (organization) and user, acts as a reference to search and classify public services. The requirements category relates to the functional needs at a particular phase of system (service) design or operation. Sub-attributes of requirements are user, application, platform, architecture, and social overhead. The activity category represents business processes during the operation and maintenance phase. The activity category also has sub-attributes including facility, software, and project unit. The service category, with sub-attributes such as target, time, and place, acts as a reference to sort and classify the public services. The requirements ontology is derived from the basic and common components of public services and target countries. The key attributes of the requirements ontology are business, technology, and constraints. Business requirements represent the needs of processes and activities for public service export; technology represents the technological requirements for the operation of public services; and constraints represent the business law, regulations, or cultural characteristics of the target country. The environment ontology is derived from case studies of target countries for public service operation. Key attributes of the environment ontology are user, requirements, and activity. A user includes stakeholders in public services, from citizens to operators and managers; the requirements attribute represents the managerial and physical needs during operation; the activity attribute represents business processes in detail. The enterprise ontology is introduced from a previous study, and its attributes are activity, organization, strategy, marketing, and time. The country ontology is derived from the demographic and geopolitical analysis of the target country, and its key attributes are economy, social infrastructure, law, regulation, customs, population, location, and development strategies. The priority list for target services for a certain country and/or the priority list for target countries for a certain public services are generated by a matching algorithm. These lists are used as input seeds to simulate the consortium partners, and government's policies and programs. In the simulation, the environmental differences between Korea and the target country can be customized through a gap analysis and work-flow optimization process. When the process gap between Korea and the target country is too large for a single corporation to cover, a consortium is considered an alternative choice, and various alternatives are derived from the capability index of enterprises. For financial packages, a mix of various foreign aid funds can be simulated during this stage. It is expected that the proposed ontology model and the business incubation platform can be used by various participants in the public service export market. It could be especially beneficial to small and medium businesses that have relatively fewer resources and experience with public service export. We also expect that the open and pervasive service architecture in a digital business ecosystem will help stakeholders find new opportunities through information sharing and collaboration on business processes.

Policy Direction for The Farmland Sizing Suitable to Regional Trait (지역특성을 반영한 영농규모화사업의 발전방향-충남지역을 중심으로-)

  • Shim, Jae-Sung
    • The Journal of Natural Sciences
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    • v.14 no.1
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    • pp.83-121
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    • 2004
  • This study was carried out to examine how solid the production foundation of rice in Chung-Nam Province is, and, if not, to probe alternative measures through the size of farms specializing in rice, of which direction would be a pivot of rice industry-oriented policy. The results obtained can be summarized as follows : 1. The amount of rice production in Chung-Nam Province is highest in Korea and the size of paddy field area is the second largest : This implying that the probability that rice production in Chung-Nam Province would be severely influenced by a global trend of market conditions. The number of farms specializing in rice becoming the core group of rice farming account for 7.7 percent of the total number of farm household in Korea. Average field area financial support which had been input to farm household by Government had a noticeable effect on the improvement of the policy of farm-size program. 2. Farm-size program in Chung-Nam Province established from 1980 to 2002 in creased the cultivation size of paddy field to 19,484 hectares, and this program enhanced the buying and selling of farmland and the number of farmland bargain reached 6,431 household and 16,517 hectares, respectively, in 1995-2002. Meanwhile, long-term letting and hiring of farmland appeared so active that the bargain acreage reached 6,970 hectares, and farm involved was 7,059 households, however, the farm-exchange-and-unity program did not satisfy our expectation, because the retirement farm operators reluctantly participated to sell their farms. Another reason that had delayed the bargain of farms rested on the general category of social complication attendant upon the exchange and unity operation for scattered farm. Such difficulties would work negative effects out to carry on the target of farm-size work in general. 3. The following measures were presented to propel the farm-size promotion program : a. Occupation shift project, followed by the social security program for retirement and elderly farm operators, should be promptly established and also a number of types of incentives for promoting the letting and hiring work and farm-exchange-and-unity program would also be set up. b. To establish the effective key system of rice production, all the farm operators should increase the unit area yield of rice and lower the production cost. To do so, a great deal of production teams of rice equipped with managerial techniques and capabilities need to be organized. And, also, there should be appropriate arrays of facilities including information system. This plan is desirable to be in line with a diversity of the structural implement of regional integration based on farm system building. c. To extend the size of farm and to improve farm management, we have to devise the enlargement of individual size of farm for maximized management and the utilization of farm-size grouping method. In conclusion, it can be said that the farm-size project in Chung-Nam Province which has continued since the 1980s was satisfactorily achieved. However, we still have a lot of problems to be solved to break down the barrier for attainment of the desirable farm-size operation work.. Farm-size project has fairly close relation with farm specialization in rice and, thus, the positive support for farm household including the integrated program for both retirement farmers and off-farm operators should be considered to pursue the progressive development of the farm-size program, which is key means to successful achievement of rice farming enforcement in Chung-Nam Province.

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Development of a complex failure prediction system using Hierarchical Attention Network (Hierarchical Attention Network를 이용한 복합 장애 발생 예측 시스템 개발)

  • Park, Youngchan;An, Sangjun;Kim, Mintae;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.26 no.4
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    • pp.127-148
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    • 2020
  • The data center is a physical environment facility for accommodating computer systems and related components, and is an essential foundation technology for next-generation core industries such as big data, smart factories, wearables, and smart homes. In particular, with the growth of cloud computing, the proportional expansion of the data center infrastructure is inevitable. Monitoring the health of these data center facilities is a way to maintain and manage the system and prevent failure. If a failure occurs in some elements of the facility, it may affect not only the relevant equipment but also other connected equipment, and may cause enormous damage. In particular, IT facilities are irregular due to interdependence and it is difficult to know the cause. In the previous study predicting failure in data center, failure was predicted by looking at a single server as a single state without assuming that the devices were mixed. Therefore, in this study, data center failures were classified into failures occurring inside the server (Outage A) and failures occurring outside the server (Outage B), and focused on analyzing complex failures occurring within the server. Server external failures include power, cooling, user errors, etc. Since such failures can be prevented in the early stages of data center facility construction, various solutions are being developed. On the other hand, the cause of the failure occurring in the server is difficult to determine, and adequate prevention has not yet been achieved. In particular, this is the reason why server failures do not occur singularly, cause other server failures, or receive something that causes failures from other servers. In other words, while the existing studies assumed that it was a single server that did not affect the servers and analyzed the failure, in this study, the failure occurred on the assumption that it had an effect between servers. In order to define the complex failure situation in the data center, failure history data for each equipment existing in the data center was used. There are four major failures considered in this study: Network Node Down, Server Down, Windows Activation Services Down, and Database Management System Service Down. The failures that occur for each device are sorted in chronological order, and when a failure occurs in a specific equipment, if a failure occurs in a specific equipment within 5 minutes from the time of occurrence, it is defined that the failure occurs simultaneously. After configuring the sequence for the devices that have failed at the same time, 5 devices that frequently occur simultaneously within the configured sequence were selected, and the case where the selected devices failed at the same time was confirmed through visualization. Since the server resource information collected for failure analysis is in units of time series and has flow, we used Long Short-term Memory (LSTM), a deep learning algorithm that can predict the next state through the previous state. In addition, unlike a single server, the Hierarchical Attention Network deep learning model structure was used in consideration of the fact that the level of multiple failures for each server is different. This algorithm is a method of increasing the prediction accuracy by giving weight to the server as the impact on the failure increases. The study began with defining the type of failure and selecting the analysis target. In the first experiment, the same collected data was assumed as a single server state and a multiple server state, and compared and analyzed. The second experiment improved the prediction accuracy in the case of a complex server by optimizing each server threshold. In the first experiment, which assumed each of a single server and multiple servers, in the case of a single server, it was predicted that three of the five servers did not have a failure even though the actual failure occurred. However, assuming multiple servers, all five servers were predicted to have failed. As a result of the experiment, the hypothesis that there is an effect between servers is proven. As a result of this study, it was confirmed that the prediction performance was superior when the multiple servers were assumed than when the single server was assumed. In particular, applying the Hierarchical Attention Network algorithm, assuming that the effects of each server will be different, played a role in improving the analysis effect. In addition, by applying a different threshold for each server, the prediction accuracy could be improved. This study showed that failures that are difficult to determine the cause can be predicted through historical data, and a model that can predict failures occurring in servers in data centers is presented. It is expected that the occurrence of disability can be prevented in advance using the results of this study.