• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.871-874
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• 2011

The fast emerging of network technology and the high demand of computing resources have prompted many organizations to outsource their storage and computing needs. Cloud based storage services such as Microsoft's Azure and Amazon's S3 allow customers to store and retrieve any amount of data, at anytime from anywhere via internet. The scalable and dynamic of the cloud storage services help their customer to reduce IT administration and maintenance costs. No doubt, cloud based storage services brought a lot of benefits to its customer by significantly reducing cost through optimization increased operating and economic efficiencies. However without appropriate security and privacy solution in place, it could become major issues to the organization. As data get produced, transferred and stored at off premise and multi tenant cloud based storage, it becomes vulnerable to unauthorized disclosure and unauthorized modification. An attacker able to change or modify data while data inflight or when data is stored on disk, so it is very important to secure data during its entire life-cycle. The traditional cryptography primitives for the purpose of data security protection cannot be directly adopted due to user's lose control of data under off premises cloud server. Secondly cloud based storage is not just a third party data warehouse, the data stored in cloud are frequently update by the users and lastly cloud computing is running in a simultaneous, cooperated and distributed manner. In our proposed mechanism we protect the integrity, authentication and confidentiality of cloud based data with the encrypt- then-upload concept. We modified and applied proxy re-encryption protocol in our proposed scheme. The whole process does not reveal the clear data to any third party including the cloud provider at any stage, this helps to make sure only the authorized user who own corresponding token able to access the data as well as preventing data from being shared without any permission from data owner. Besides, preventing the cloud storage providers from unauthorized access and making illegal authorization to access the data, our scheme also protect the data integrity by using hash function.

• 한국농촌건축학회논문집
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• 제25권3호
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• pp.27-35
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• 2023

This study aims to provide implications for Korea's efficient application policies for closed schools by identifying the current status of how closed schools are revitalized in Japan and their supportive measures. In Japan, a total of 2,215 schools have closed from 1992 to 2001, and 8,580 schools from 2002 to 2020, with 10,709 closures occurring from 1992 to 2020. The average number is about 369 per year. In terms of the overall trend, the number of closed schools have been put into use and the numbers have increased from 70% in 2013 to 74% in 2020. To summarize the characteristics of the use, first, there is a complex phenomenon in which the use of closed schools are becoming more diverse. Second, closed schools are most often revitalized as educational facilities for residents, followed by social sports facilities, social education facilities and cultural facilities. Third, the use of closed schools in the industries are increasing as they are used as "corporal facilities and start-up support facilities". In order to promote the use of closed schools, the Ministry of Education, Culture, Sports, Science and Technology in Japan promoted the simplification and elasticity of property disposal procedures in 2008. Since 2010, the disclosure of information on closed facilities and matching service between providers and users have been unified through the "Let's Connect to the Future ~ Closed School for All" project. The Cabinet Office including the four offices, and five central governments are advocating the use of closed schools by promoting subsidy support projects.

• 지능정보연구
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• 제25권2호
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• pp.99-122
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• 2019

IDC(International Data Corporation) 사(社)의 최근 보고서에 따르면, 2025년에는 2016년에 생성된 데이터의 10배에 달하는 163제타바이트의 데이터가 생성될 것이고 그 주체의 비중은 소비자에서 기업으로 이동하고 있다고 한다. 이러한 소위 '빅데이터의 물결'은 도래하고 있고 그 파장은 산업 전반적으로 영향을 미칠 것이다. 따라서, 방대한 데이터를 효과적으로 관리하는 것은 기업의 관점에서 그 어느 때보다 더 중요하다. 하지만, IT 투자에 대한 효과를 측정한 선행 연구는 다수 존재함에도 불구하고 빅데이터 투자 효과를 측정한 선행 연구는 거의 전무한 실정이다. 따라서, 해당 투자 효과를 정량적으로 분석한다면 기업의 의사 결정을 도울 수 있을 것이다. 본 연구는 효율적 시장 가설을 이론적 바탕으로 둔 사건연구방법론(Event Study Methodology)을 적용하여, 기업의 빅데이터 투자가 시장 투자자들의 반응에 미치는 영향을 측정하였다. 또한, 보다 심층적으로 이 효과를 분석하기 위해서 5가지 하위 변수를 설정했고 그 내용은 기업 크기 구분, 산업 구분(Finance와 ICT), 투자 구축 완료 구분, 벤더 유무 구분이다. 분석 결과, 91개 기업은 빅데이터 투자 공시 이후 시장 가치가 평균 0.92% 상승한다는 사실을 확인하였다. 특히 Finance 기업, non-ICT 기업, 시가 총액이 작은 기업, 빅데이터 전문 벤더 기업을 통해 투자한 기업, 그리고 빅데이터 시스템이 구축 완료됐다는 공시에 해당하는 기업의 시장 가치가 두드러지게 상승한다는 사실을 알 수 있었다. 본 연구는 빅데이터 투자 효과를 측정한 선행 연구가 거의 전무하다는 점에서 학문적인 의의를 지니고, 빅데이터 투자를 고려 중인 기업 의사 결정자들에게 실질적인 참고 자료가 될 수 있다는 점에서 실무적인 시사점을 갖는다.

• 대한한의진단학회지
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• 제18권3호
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• pp.205-216
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• 2014

Objectives The purpose of this study is to help improve the management of traditional Korean medical(TKM) clinics and the policies for supporting them, by conducting a survey of the practitioners of TKM. Methods Stratified sampling was conducted based on regional location, and 700 samples were selected in a random manner from the membership list. The questionnaire was delivered and returned by mail. The survey was conducted between 20 July and 31 August 2010. A total of 177 questionnaires (recovery rate: 25.28%) were recovered and analyzed for the study. Results 1. The the survey indicate that the overall size of TKM clinics has fallen compared with previous survey, while the average number of beds per clinic has remained unchanged at 7.9. The sale of medicine as a proportion of total monthly sales has increased. 2. There has been no change in the composition of clinical staff as there are three nursing assistants. Although the average daily number of patients to clinics has remained at around 33.90 compared with ten years ago, the number of patients requiring seeking acupuncture treatment has increased while the number of those treated with medication has decreased. 3. Clinicians in TKM have indicated their preference for a binary system that separates TKM from western medicine (57.4%). The respondents do not favor the separation of dispensary from medical practice (81.5%), marks of origin for medicinal herbs (68.9%), disclosure of the prescriptions (67.2%), and the overseas expansion of Korean medical services (70.4%). However, they indicated that they are very much in favor of being granted the authority to employ and give orders to medical technicians (96.0%). 4. The respondents selected Korea as the country that maintains a proper academic system for traditional medicine (45.5%), and are not in favor of opening Korea's traditional medicine market under an Free Trade Agreement(FTA) with China (72.7%). Conclusion The overall status of the management of TKM clinics has declined compared with the preceding decade. There has been only a slight change in clinicians' opinion of the related policies and regulatory issues.

• 한국산학기술학회논문지
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• 제19권4호
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• pp.203-210
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• 2018

영국은 사회복지 돌봄에서 시장화를 유럽에서 가장 먼저 추진한 나라로 유명하다. 영국의 시장화 정책은 사회민주주의 국가에게도 영향을 끼칠 정도로 여러 나라가 시장화 정책을 도입해서 추진하고 있고 우리나라도 장기요양보험제도를 통해서 시장화 정책을 적극 도입했다. 본 연구의 목적은 영국 정부가 최근에 단행한 성인 돌봄 시장의 감독 강화 개혁을 분석하고 이를 토대로 한국 장기요양보험의 정책적인 시사점을 모색하는데 있다. 연구결과에 따르면, 영국은 시장을 적극적으로 관리 감독하고 있는 것으로 나타났다. 특히, 대규모 요양시설의 갑작스러운 파산 이후에 '2014년 돌봄 법'을 제정해서 돌봄품질위원회(Care Quality Commission)가 6단계별로 대규모 서비스 제공기관의 재정 상태와 서비스 질 등 측면에서 파산의 위험성을 사전적으로 분석하고 있다. 이를 통해서 제공기관이 일정한 수준으로 위험성이 높아지면 그 결과를 지방정부에 통보해서 파산과 같은 상황에 체계적으로 대응하도록 했다. 영국의 개혁은 장기요양 시장에 문제가 있는 한국에 시장에 대한 감독 강화, 새로운 감독 시스템 구축, 공공 감독 조직의 확대, 국민건강보험공단의 정보 공개 등의 정책적인 시사점을 제시한다.

• 무역상무연구
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• 제14권
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• pp.103-152
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• 2000

English contract law has traditionally taken the view that it is not the duty of the parties to a contract to give information voluntarily to each other. In English law, one of the principal distinctions between insurance contract law and general contract law is the existence of the doctrine of utmost good faith in insurance law. The doctrine gives rise to a variety of duties, some of which apply before formation of the contract while others apply post-formation. This article is, therefore, designed to analyse the overall structure and problems of the doctrine of utmost good faith in English marine insurance law. The results of analysis are as following : First, the requirement of utmost good faith in marine insurance law arises from the fact that many of the relevant circumstances are within the exclusive knowledge of the assured and it is impossible for the insurer to obtain the facts to make a appropriate calculation of the risk that he is asked to assume without this information. Secondly, the duty of utmost good faith provided in MIA 1906, s. 17 has the nature as a bilateral or reciprocal, overriding and absolute duty. Thirdly, the Court of Appeal in Skandia held that breach of the pre-formation duty of utmost good faith did not sound in damages since the duty did not arise out of an implied contractual term and the breach did not constitute a tort. Instead, the Court of Appeal held that the duty was an extra-contractual duty imposed by law in the form of a contingent condition precedent to the enforceability of the contract. Fourthly, the scope of the duty of utmost good faith is closely related to the test of materiality and the assured is required to disclose only material circumstances subject to MIA 1906, s. 18(1) and 20(1). The test of materiality, which had caused a great deal of debate in English courts over 30 years, was finally settled by the House of Lords in Pan Atlantic and the House of Lords rejected the 'decisive influence' test and the 'increased risk' test, and the decision of the House of Lords is thought to accept the 'mere influence' test in subsequent case by the Court of Appeal. Fifthly, the insurer is, in order to avoid contract, required to provide proof that he is induced to enter into the contract by reason of the non-disclosure or misrepresentation of the assured. Sixthly, the duty of utmost good faith is, in principle, terminated before contract is concluded, but it is undoubtful that the provision under MIA 1906, s. 17 is wide enough to include the post-formation duty. The post-formation duty is, however, based upon the terms of marine insurance contract, and the duty lies entirely outside s. 17. Finally, MIA 1906, s. 17 provides expressly for the remedy of avoidance of the contract for breach of the duty. This means rescission or retrospective avoidance of the entire contract, and the remedy is based upon a fairly crude 'all-or-nothing' approach. What is needed in English marine insurance law is to introduce a more sophiscated or proportionate remedy.

• 한국시뮬레이션학회논문지
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• 제30권3호
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• pp.1-9
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• 2021

전장에 있는 지휘관과 참모들은 상황을 인식하고 그 결과를 바탕으로 지휘결심을 통해 군사 활동을 수행하는데, 최근 정보기술의 발달과 함께 지휘결심을 지원하는 인공지능에 대한 요구가 증가하였다. 인공지능을 활용하기 위해서는 강화학습에 필요한 학습 data set의 식별, 수집 그리고 전처리가 필수적이다. 그러나 전술 C4I 체계에 저장된 적 data는 정확성, 적시성, 충분성 측면에서 인공지능 학습 data로 사용하기에 적절하지 않기 때문에 학습 data를 수집하고 훈련 시킬 수 있는 대안이 필요하다. 본 논문에서는 육군의 워게임 훈련 모델인 '창조 21 모델 훈련 data'를 활용하여 인공지능을 학습시키는 방법론을 제시하였다. 연구 범위는 군사결심수립과정과 연계하여 인공지능의 역할과 범위를 구체화하고, 그 역할에 맞추어 인공지능을 훈련 시키기 위해 창조 21 모델 연습 data를 활용하는 모델을 제시하였다. 공개가 제한되는 군사자료의 특성을 고려하여 가상의 sample data를 제작하였고, 공개가 제한되는 대한민국 육군의 교리는 인터넷에서 수집 가능한 미군 교리를 활용하였다.

• 한국항해항만학회지
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• 제45권3호
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• pp.138-147
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• 2021

한진해운 파산 및 해운동맹의 재정립 등으로 부산항 컨테이너터미널의 운영 효율성 및 생산성 분석의 필요성이 증가하고 있다. 본 논문은 항만공사 공시자료 및 수집된 터미널 내부자료를 바탕으로 DEA 분석 및 Malmquist 생산성 지수 모형을 활용하여 부산신항 컨테이너 터미널 5개사의 효율성 및 생산성을 분석하였다. 분석결과 컨테이너터미널 5개사의 평균 효율성은 2018년 증가하였으나 2019년 소폭 하락한 것으로 나타났으며, Malmquist 지수를 통해 종합적인 생산성 변화를 살펴보면 A사를 제외한 모든 터미널이 생산성이 진보한 것으로 나타났다. 또한 설비 생산성의 경우 부산신항 남컨테이너터미널보다 북컨테이너터미널에 위치한 운영사들이 높은 것으로 나타났고, 자본 생산성의 경우 국적 선사인 HMM이 기항하는 D사가 가장 높은 것으로 나타났다. 노동 생산성의 경우 C사가 가장 높은 생산성을 보였으며, 선박작업 생산성의 경우 A사가 가장 높은 생산성을 보였다.

• International journal of advanced smart convergence
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• 제11권1호
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• pp.19-27
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• 2022

Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.

• 한국환경복원기술학회지
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• 제27권3호
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• pp.45-56
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• 2024

Heavy metals emitted from urban development do not decompose in the soil and remain for long periods, continually impacting the environment. Since the mid-1990s, there has been increasing societal concern in South Korea regarding soil contamination, prompting various legislative revisions to reduce pollution. This study utilizes the Environmental Impact Assessment Support System (EIASS) to investigate projects in the metropolitan area that have exceeded the Ministry of Environment's soil contamination concern levels from 1989 to 2022 and to examine improvements in the environmental impact assessment (EIA) process. The results reveal that the average concentrations of nine contaminants-cadmium (Cd), copper (Cu), arsenic (As), mercury (Hg), lead (Pb), hexavalent chromium (Cr6+), zinc (Zn), nickel (Ni), and fluoride (F)-have all increased over the years. Among these, Zn had the highest relative proportion, with 37.5% of the 40 sites exceeding environmental concern levels. Investigation of 19 specific projects at these exceedance sites showed that only 7 had documented analyses of contamination causes and remediation plans, and just one had contracted additional remediation services, though results from these efforts were found to be lacking. Furthermore, since 2019, a significant proportion of these sites were involved in residential developments, likely due to government initiatives in new city development and extensive housing supply plans. This research emphasizes the importance of public disclosure of the processes and outcomes of remediation efforts on historically contaminated soils prior to project development. It discusses improvements to the EIA by reviewing current legislation and international examples. The findings of this study are expected to heighten public awareness about heavy metal contamination and enhance transparency in soil remediation efforts, contributing to sustainable environmental management and development.