• Title/Summary/Keyword: 거래규모

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An Exploratory Study on Domestic Mobile Games and In-app Payment Fees (국내 모바일 게임 및 인앱 결제 수수료 적정성에 대한 탐색적 연구)

  • Lee, Taehee;Jeon, Seongmin
    • The Journal of Society for e-Business Studies
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    • v.26 no.3
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    • pp.55-66
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    • 2021
  • The mobile application (APP) market is growing at an unprecedented speed. Amid such growth, the global platform providers are mandating exclusive in-app payments and charging 30% for platform commission fees. A serious tension has arisen between mobile global platform providers and local content providers. The present study attempts to analyze the domestic mobile game market and in-app payment commission fees. This study estimates the size of the domestic mobile game market and platform commission fees by directly using publicly available financial statements and footnote information of some representative listed mobile game firms. Also, the study analyzes the cost structures of the same sample firms and attempts to draw some implications on sustainable growths of the mobile game ecosystem. We estimated that, in 2019, the domestic mobile game market is around 4.9 trillion Won and the ensuing in-app payment commission fees market was 1.5 trillion Won. High market share firms display a proportional increase in in-app payment commission fees in relation to sales growth. This, in turn, makes the in-app payment commission fees a primary cost item far exceeding employee salaries and R&D expenses. During the same period, low market share firms generated a mere profit or experienced net loss. Analysis of the cost structure reveals that these firms are even more liable to higher in-app payment commission fee cost structure than high market share. Most constituents of the mobile game ecosystem are small business entrepreneurs. By employing a micro-level analysis, the study estimates that, in 2019, a representative median firm generates 530 million Won in sales. At the same time, it spends 190 million Won in employee salaries, 50 Won million in R&D and 190 million Won in in-app payment commission fees, respectively. In the absence of other cost items, these three cost items alone account for 73.8% of sales revenue. The results imply that a sustainable growth of the local mobile game market heavily depends upon the cost structure of such representative median firm, the in-app payment commission fees being the primary cost item of such firm.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

Why Central Banks Intervene? (왜 중앙은행은 개입하는가?)

  • Ko, Jong-Moon
    • The Korean Journal of Financial Management
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    • v.12 no.2
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    • pp.273-298
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    • 1995
  • 1960년대, 각국의 환율이 미국의 달러화에 연동(pegging)된 고정환율제도를 근간으로 하는 브레튼우즈(Bretton Woods)체제하에서 각국의 중앙은행은 환율을 일정한 범위 내로 유지하기 위한 정책수단으로 외환시장개입을 적극 활용하였다. 1973년 브레튼우즈체제하의 고정환율제도가 붕괴되고 변동환율제도가 채택된 이후에도 각국의 외환시장개입정책은 계속되었다. 1980년대에 레이건 행정부의 재정팽창정책과 미연방준비은행의 긴축통화정책으로 금리의 지속적인 상승과 미달러화의 큰폭의 절상이 이루어 졌다. 이에 국제무역의 위기를 우려한 미국, 독일, 프랑스, 영국, 일본 등 선진 5개국(Group-5, G5)은 1985년 9월 22일 미 달러화의 절하를 위해 외환시장에 공동으로 개입할 것을 주내용으로 한 플라자합의(Plaza Agreement)를 발표하였다. 그후에도 1987년 2월 23일 열린 루브르협정(Louvre Accord, G-6 Communique)에서 환율을 현수준으로 유지시키기 위한 목표환율대(Target zone)를 설정하고 외환시장개입을 통해 이를 유지하기로 합의한 바 있다. 이후의 구미각국은 환율의 관리를 위하여 국가가 공동으로 외환시장에 개입하곤 했다. 본 논문은 1987년 루브르협정 이후 미국, 독일 및 일본의 중앙은행의 외환시장 개입 정책이 소기의 목적을 달성했는지의 여부를 규명해 보고자 한다. 즉, Federal Reserve, Bundesbank 및 Bank of Japan의 외환시장개입이 현물환율시장(spot market)에서 각각의 변동성을 감소 시켰는지의 여부를 독일의 마르크화 및 일본의 엔화를 중심으로 규명해 보고자 한다. 1981년 루브르협정이후, 미국, 독일 및 일본의 중앙은행은 미국 달러화에 대한 마르크 및 엔화의 환율을 안정시키기 위해 꾸준히 외환시장에 개입해 왔다. 외환시장의 개입유형은 크게 태화외환시장개입(non-sterilized intervention)과 불태화외환시장개입(sterilized intervention)으로 구분할 수 있는데, 전자는 외환당국이 민간부문과 외화채권을 거래함으로써 본원통화의 크기가 변하는 개입형태를 의미하는 반면에 후자는 외환당국의 순외화자산의 크기변화가 본원통화의 변화를 초래하지 않는 경우이다. 즉, 불태화외환시장개입은 순외화자산의 증감이 순국내자산의 증감과 반비례해서 이루어지기 때문에 본원통화의 크기에는 변함이 없다. 외환시장개입이란 외환당국이 은행간 시장에서 민간시잔 참가자들과 행하는 적극적인 외환거래를 의미한다. 반면, 넓은 의미에서의 외환시장개입에는 수동적 외환시장개입이라고 불리는 고객거래가 포함된다. 후자의 거래는 국내통화 및 외화표시 자산의 상대적 공급규모를 변화시킨다는 의미에서 전통적외환시장개입과 동일한 효과를 갖기 때문에 광의의 외환시장 개입으로 분류된다. 외환시장의 개입목적은 크게 세 가지로 분류할 수 있다. 첫째, 환율의 안정적 운영이다. 환율수준이 자유롭게 변화되는 변동환율제도하에서 환율의 지나친 변동으로 인한 실물경제로의 부정적인 영향을 최소화하기 위해서 환율의 지나친 변동으로 인한 실물경제로의 부정적인 영향을 최소화하기 위해서 환율의 안정을 정책 목표로 설정하는 경우와 고정환율제도하에서 환율을 일정수준으로 유지시키기 위해서 외환당국이 외환시장에 개입하는 경우가 여기에 해당된다고 볼 수 있다. 둘째, 환율수준의 균형수준으로의 조정이다. 이때 야기될 수 있는 문제점으로는 환율균형 수준을 어떻게 정의, 추정할 것이냐 하는 점과 목표환율정책이 다른 정책목표와 상충될 수 있다는 점이다. 셋째, 외환당국이 공적외환보유액이나 구성을 변화시킬 목적으로 외환시장에 개입하는 경우이다. 이때의 외환시장개입은 현재의 환율수준이 개입으로 인하여 과도하게 이탈하는 문제가 발생하지 않을 것을 전제로 한다. 본고에서는 현물환율에 영향을 미치는 요소로 미국, 독일 및 일본의 중앙은행의 개입효과, 요일효과, 통화의 공급량(M1), 무역적자의 폭, 산업의 생산량, 생산가격지수(PPI), 소비자물가지수(CPI), 실업률, 옵션의 내재적 변동성 등을 고려한다. 환율의 변동성을 추정하는 식은 GARCH 모델이 사용된다. 본 추정모델은 Dominguez(1993)의 확장이다. Dominguez (1993)의 논문은 GARCH 모델을 써서 미국, 독일 및 일본의 중앙은행의 시장개입효과를 분석했으나, 거시변수를 고려대상에서 제외시켰다. 본 논문은 위의 방법에 거시변수를 삽입하고 모델을 변형시켜서 더 확실한 시장개입효과와 거시변수효과를 밝혔다. 또한 옵션의 내제적 변동성을 구하는 과정에서 American option model을 사용하는 대신, Bourtha & Courtadon (1987)등이 밝힌 바와 같이 American style option이라 할지라도, European Model을 쓰면 더욱더 간편하고, 예측력도 American Model에 뒤지지 않음을 이용하여, European Model을 써서 내재적 변동성을 구한 다음 이것을 독립변수로 이용하였다. 본 모델의 추정 결과는 3국의 시장개입정책이 현물환율과 옵션의 내재적 변동성을 증가시켜서 Louvre 협정이후 각국은 시장개입의 목적을 달성하지 못한 것으로 나타났다.

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An Exploratory Study on Consumers' Perception of Personal Information Provision to the Third Party (소비자의 개인정보 제3자 정보 제공 인식에 관한 탐색적 연구)

  • Koo, Hye-Gyoung;Rha, Jong-Youn
    • Journal of Digital Convergence
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    • v.12 no.8
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    • pp.187-196
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    • 2014
  • Most Consumers don't pay attention the process of giving consent for the provision of personal information. The terms of giving consent of personal information provision including 3rd party provision related contents. Although personal information leakage were related 3rd party sharing, consumers can't recognize the details. Therefore, this study focused on the perception of 3rd party provision of personal information. Consumers recognized 3rd party as who are related the service offer or not. Consumers want to know the cases of personal information sharing to the 3rd party, and if the business operators got benefit to share personal information with 3rd party, consumers want to know the facts. To understand the terms easily, the format have to be revised and to be standardized. Standardization of consent forms is very important for consumers to understand the difficult documents and the development of the business system to collect and use consumer's personal information to guarantee the right to self-determination of personal information.

Thin Capitalization - The Arm's Length Approach through Blockchain

  • Lee, Jeong-Mi
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.10
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    • pp.185-191
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    • 2020
  • This article proposes the unified an arm's length price of transfer pricing for thin capitalization since the scope of permanent establishment has been enlarged under Digital Economy and the implementation of Blackchain system to resolve the drawback of finding an arm's length price. The rule of current thin capitalization runs against the non-discrimination of taxation of the tax treaties and the national treatment which deals fairly with goods, sercice and capital money within the country under the treaty of commerce and navigator. In addition, the information of comparable uncontrolled debt are not available of current system to prove the debt which is not subject to the rule of thin capitalization. The united an arm's length price of transfer pricing for thin capitalization can apply to foreign investment as well as domestic corporations, thereby resolving the problem of the non-discrimination of taxation of the tax treaties and the treaty of commerce and navigation. The availability of transaction level data through Blockchain platform to decide whether the debt can be subject to thin capitalization can resolve the issue of comparable uncontrolled debt transaction which can't be found in current business transactions. This article should shed light on the proposing of the unified an arm's length price of transfer pricing for thin capitalization and Blockchain system to prevent the income shifting. This propose provide implication for policymakers on current system of thin capitalization and arm's length principles.

A Semantic Text Model with Wikipedia-based Concept Space (위키피디어 기반 개념 공간을 가지는 시멘틱 텍스트 모델)

  • Kim, Han-Joon;Chang, Jae-Young
    • The Journal of Society for e-Business Studies
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    • v.19 no.3
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    • pp.107-123
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    • 2014
  • Current text mining techniques suffer from the problem that the conventional text representation models cannot express the semantic or conceptual information for the textual documents written with natural languages. The conventional text models represent the textual documents as bag of words, which include vector space model, Boolean model, statistical model, and tensor space model. These models express documents only with the term literals for indexing and the frequency-based weights for their corresponding terms; that is, they ignore semantical information, sequential order information, and structural information of terms. Most of the text mining techniques have been developed assuming that the given documents are represented as 'bag-of-words' based text models. However, currently, confronting the big data era, a new paradigm of text representation model is required which can analyse huge amounts of textual documents more precisely. Our text model regards the 'concept' as an independent space equated with the 'term' and 'document' spaces used in the vector space model, and it expresses the relatedness among the three spaces. To develop the concept space, we use Wikipedia data, each of which defines a single concept. Consequently, a document collection is represented as a 3-order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Through experiments using the popular 20NewsGroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering.

An Empirical Study on Information Service Satisfaction of Shipping Market Reports (해운시황리포트 정보서비스 만족도에 관한 연구)

  • Lee, Seok-Yong
    • Journal of Korea Port Economic Association
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    • v.31 no.4
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    • pp.1-15
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    • 2015
  • During global recessions, such as the 2008 financial crisis, Korean shipping companies have been undergoing a liquidity crisis that is comparably worse than other shipping companies worldwide. One of the reasons behind this repetitive vicious cycle can be the lack of ability to foresee the future by analyzing and understanding the volatile shipping market. Traditionally, in order to assimilate the shipping market, larger Korean shipping companies have been purchasing market reports published by Europe-based research companies and shipping brokers, leading to a digital divide by company size. To resolve this issue, the Maritime Exchange Information Center (MEIC) has been publishing shipping market reports that include essential shipping information such as freight rates by different routes; commodity trends for iron ore, grain, and coal; ship-building trends for new-building, second-hand, and demolition markets; as well as bunker price and port congestion. This research was conducted to analyze the effectiveness of four variables-information usefulness, market reflection, information composition, and latest information-on information satisfaction. If the information satisfaction was found to be adequate, the analysis of actual proof was used to determine if the customers would be willing to purchase MEIC's report when it is chargeable. All the four variables were found to have positive effects on information satisfaction. In particular, latest information was found to directly affect the intention to purchase. Furthermore, high information satisfaction was related to the intention to purchase.

A Study on Consumer Awareness and Determinants of Overseas Direct Purchase : Focused on Moderating Effects of Logistics Infrastructure and Market Uncertainty (소비자 특성이 해외직접구매 관심도 결정에 미치는 영향 : 물류인프라 및 시장 불확실성의 조절효과)

  • Cho, Hyuk-Soo;Lee, Jung-Sun
    • International Commerce and Information Review
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    • v.18 no.3
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    • pp.23-43
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    • 2016
  • Many customers of individual countries are interested in overseas direct purchase. B2C is not limited in a domestic market anymore. There are giant online shopping sites such as Amazon and eBay around the world. Many local and overseas customers can access and purchase products via B2C sites. Market size of overseas direct purchase has been dramatically increased. Overseas direct purchase can be closely associated with trade or international commerce due to the massive increase. This study aims at gaining a better understanding of overseas direct purchase in the country-level not customer-level. Specifically, this study examines relationships between overseas direct purchase and customer determinants including openness, innovativeness, and strategic confirmity to normative institution. Also, moderating effect with external environments such as logistics infrastructure and market uncertainty. Relying on RBV, TCA, Institutional theory, and OSAM model, this study justifies how internal and external determinants can increase or decrease consumer awareness on overseas direct purchase.

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The Determinants of Customer Satisfaction In Electronic Commerce. (전자상거래시 고객만족 결정요인에 관한 연구)

  • Cho, Hyun-Chul;Shim, Gyu-Yul
    • Journal of Global Scholars of Marketing Science
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    • v.7
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    • pp.261-281
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    • 2001
  • As a new environment, the Internet proposes to us the innovative change of our life. With difficulty, we can go after the Internet's potentiality and the growth speed of technology. In the new stream of innovation technology, we can probably feel the fear of tremendous changes, the reverse, also hope to get the opportunity that come out of Internet world. EC(Electronic Commerce) that out of the evolution of Internet technology gets a coporation changes to survive in 21st century. So the corporation must set the strategy to fit a Internet focused society. As one of them, a virtual store is opened on the Internet. Recently, there has been much attention to the Internet shopping mall as a new distribution channel and marketing tool. This study analyzed that the system environment, perceived product risk, easy of order, perceived security risk would have impact on the customer satisfaction in Electronic Commerce. The Purpose of this study is to develope the concept of the determinants of customer satisfaction and to test a theoretical framework that attempts to explain how the perception of satisfaction in Electronic Commerce. The proposed hypotheses were tested internet shopping mall users and the study results show all hypotheses are supported.

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Water Budget Analysis of Four big river basin based on K-WEAP (K-WEAP을 이용한 4대 권역별 물 수지 분석)

  • Moon, Jang-Won;Choi, Si-Jung;Lee, Dong-Ryul;Yoon, Seok-Young
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1362-1366
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    • 2006
  • 우리나라에서는 하천법 제11조에 의거하여 10년마다 한 번씩 수자원장기종합계획을 수립하고 있으며, 필요에 따라 5년마다 이를 수정 보완하고 있다. 2001년 7월 수자원장기종합계획(Water Vision 2020)이 수립된 이후 잦은 봄 가뭄 등 이수측면에서의 사회, 경제, 환경의 변화와 최근 이상홍수 등으로 인한 대규모 홍수피해 발생에 따른 치수측면의 종합적인 대책의 제시가 요구되면서 2001년 수립된 계획에 대한 보완 필요성이 제기되었다. 또한 수자원계획의 신뢰성에 대한 시민단체 등의 문제제기와 지역 차원의 수자원계획 및 수자원환경에 대한 국민적 관심 증대로 인해 계획 수립 과정과 결과에 대한 국민적인 공감대 형성을 위한 체제의 구축이 금번 보완 계획의 수립을 통해 추진되고 있다. 금번 수자원장기종합계획 보완은 투명성 확보라는 큰 목표를 가지고 수행되고 있으며, 이를 통해 국가 수자원 관리의 청사진을 제시하고 물 수급 전망 및 용수수급 계획을 수립하는 과정에 있다. 기 개발된 한국형 통합수자원평가계획 모형인 K-WEAP 모형을 보완 계획 수립 과정에서 활용하고 있으며, K-WEAP 모형을 통해 물 수지 분석을 수행하여 수급 균형을 판단함으로써 일반 대중에게 물 수급 관련 상황에 대한 이해력을 높일 수 있다는 장점을 확보할 수 있다. 본 연구에서는 K-WEAP 모형을 이용하여 각 권역별로 2003년의 물 수급 현황을 분석하여 이를 하천의 관측유량과 비교해봄으로써 모형의 검증을 수행하였으며, 각 권역에서 시나리오별로 추정된 용수수요량을 이용하여 물 수지 분석을 수행함으로써 목표연도별 물 수급 분석결과를 제시하였다. 물 수급 분석 시 지하수 및 농업용 저수지 등 하천과 다목적댐 이외의 지역 공급원에 대해서도 고려하였으며, 이를 통해 수자원계획 수립 시 도움이 될 수 있는 기초적인 자료를 제공할 수 있었다. 인공순환에 의한 저감효과가 크지는 않을 것으로 예측된다. 조사 기간중 H호의 현존 식물플랑크톤량의 $60%{\sim}87%$가 수심 10m 이내에 분포하였고, 녹조강과 남조강이 우점하는 하절기에는 5m 이내에 주로 분포하였다. 취수탑 지점의 수심이 연중 $25{\sim}35m$를 유지하는 H호의 경우 간헐식 폭기장치를 가동하는 기간은 물론 그 외 기간에도 취수구의 심도를 표층 10m 이하로 유지 할 경우 전체 조류 유입량을 60% 이상 저감할 수 있을 것으로 조사되었다.심볼 및 색채 디자인 등의 작업이 수반되어야 하며, 이들을 고려한 인터넷용 GIS기본도를 신규 제작한다. 상습침수지구와 관련된 각종 GIS데이타와 각 기관이 보유하고 있는 공공정보 가운데 공간정보와 연계되어야 하는 자료를 인터넷 GIS를 이용하여 효율적으로 관리하기 위해서는 단계별 구축전략이 필요하다. 따라서 본 논문에서는 인터넷 GIS를 이용하여 상습침수구역관련 정보를 검색, 처리 및 분석할 수 있는 상습침수 구역 종합정보화 시스템을 구축토록 하였다.N, 항목에서 보 상류가 높게 나타났으나, 철거되지 않은 검전보나 안양대교보에 비해 그 차이가 크지 않은 것으로 나타났다.의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은 존재하므로 이러한 전략을 개발 및 활용할 수 있으며, 특히, 한국주

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