• Title/Summary/Keyword: Security Level Management

Search Result 796, Processing Time 0.029 seconds

A Study of IWRM Guideline Application at River Basin Level (유역 수준 통합수자원관리 가이드라인의 적용방안 연구)

  • Lee, Jong-Keun;Park, Sung-Je;Yi, Young-Kune;Kim, Jae-Joon
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2010.05a
    • /
    • pp.411-415
    • /
    • 2010
  • 통합수자원관리(Integrated Water Resource Management, 이하 IWRM)는 물관리에 대한 시각을 기존의 지역개발이나 수자원개발이라는 관점에서 생태계 회복 및 종합적인 자원관리라는 관점으로 전환된 개념이다. 통합수자원관리 기법의 적용은 기후변화에 대한 물 안보(Water security) 확보 측면에서도 긍정적인 역할이 기대되고 있다. 국내의 IWRM에 관련한 연구는 수자원의 지속적 확보기술 개발 사업단을 비롯한 다양한 기관과 학술단체에서 지속적인 연구가 이루어져 왔다. 기후변화에 의한 영향과 이에 대한 물 안보 측면에서 정책 및 관리 측면에서의 제도적인 IWRM 도입은 추진전략의 방향설정이 우선되어야 할 것이다. 하지만, 기존의 연구에서는 기술의 적용 및 추진 전략체계 등에 있어 많은 연구가 진행되지 않은 것이 현실이다. 해당 연구는 2009년 세계 물 포럼에서 제시된 유역수준의 통합수자원관리 가이드라인의 체계를 분석하였다. 해당 가이드라인 Part 1의 '원칙'과 Part 2-1의 '통합수자원관리의 조정을 위한 가이드라인'에 대한 분석을 통하여, 유역단위 적용을 위한 기존 관리체계의 개선 및 적용 프로세스, 그리고 관리조직의 구성과 조정 방침에 대한 전반적인 내용을 정리하였다. 해당 결과는 기존 우리나라 물관리체계의 문제점을 바탕으로 적용 프로세스 등과 같은 실제 적용전략의 방향을 제시하는데 활용되었다. 실제 적용 프로세스 도출은 위해 각 국가별 사례의 특징 및 문제점을 각 사례의 비교분석을 통해 수행하였다. 통합수자원관리 방안은 수자원 분야에서의 적응능력을 개선하는 효과를 가진 대안이다. 본 연구의 결과가 통해 앞으로 생산되는 다양한 물관리 기법 및 적용 방안들이 보다 효율적인 IWRM을 실현할 수 있는 자료로서 활용되기를 기대한다.

  • PDF

A Spatial Transformation Scheme Supporting Data Privacy and Query Integrity for Outsourced Databases (아웃소싱 데이터베이스에서 데이터 프라이버시 및 질의 무결성을 지원하는 공간 변환 기법)

  • Kim, Hyeong-Il;Song, Young-Ho;Chang, Jaewoo
    • Journal of KIISE
    • /
    • v.42 no.5
    • /
    • pp.652-663
    • /
    • 2015
  • Due to the popularity of location-based services, the amount of generated spatial data in daily life has been dramatically increasing. Therefore, spatial database outsourcing has become popular for data owners to reduce the spatial database management cost. The most important consideration in database outsourcing is meeting the privacy requirements and guarantying the integrity of the query result. However, most of existing database transformation techniques do not support both of the data privacy and integrity of the query result. To solve this problem, we propose a spatial data transformation scheme that utilizes the shearing transformation with rotation shifting. In addition, we described the attack models to measure the data privacy of database transformation schemes. Finally, we demonstrated through the experimental evaluations that our scheme provides high level of data protection against different kinds of attack models, compared to the existing schemes, while guaranteeing the integrity of the query result sets.

Fuzzy Deterministic Relations (퍼지 디터미니스틱 관계)

  • Sung, Yeoul Ouk;Lee, Hyun Kyu;Yang, Eunmok
    • Journal of Digital Convergence
    • /
    • v.19 no.10
    • /
    • pp.377-382
    • /
    • 2021
  • A fuzzy relation between X and Y as fuzzy subset of X × Y was proposed by Zadeh. Subsequently, several researchers have applied the notion of fuzzy subsets to various branches of mathematics and computer sciences. Murali an Nemitz have studied fuzzy relations connected with fuzzy equivalence relations and fuzzy functions. Ounalli and Jaoua defined a fuzzy difunctional relation on a set. difunctional relations are versatile mathematical tool, which can be used in software design and in database theory. Their work have revealed the usefulness of difunctional relations in program specification and in defining program correctness. The main goal of this paper is to define a fuzzy deterministic relation on a set, characterize the fuzzy deterministic relation as its level subsets and investigate some properties in connection with fuzzy deterministic relation. In particular we prove that a fuzzy relation R is fuzzy deterministic iff R is a fuzzy function.

Case Analysis for Introduction of Machine Learning Technology to the Mining Industry (머신러닝 기술의 광업 분야 도입을 위한 활용사례 분석)

  • Lee, Chaeyoung;Kim, Sung-Min;Choi, Yosoon
    • Tunnel and Underground Space
    • /
    • v.29 no.1
    • /
    • pp.1-11
    • /
    • 2019
  • This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

An Adaptive Transmission Power Control Algorithm for Wearable Healthcare Systems Based on Variations in the Body Conditions

  • Lee, Woosik;Kim, Namgi;Lee, Byoung-Dai
    • Journal of Information Processing Systems
    • /
    • v.15 no.3
    • /
    • pp.593-603
    • /
    • 2019
  • In wearable healthcare systems, sensor devices can be deployed in places around the human body such as the stomach, back, arms, and legs. The sensors use tiny batteries, which have limited resources, and old sensor batteries must be replaced with new batteries. It is difficult to deploy sensor devices directly into the human body. Therefore, instead of replacing sensor batteries, increasing the lifetime of sensor devices is more efficient. A transmission power control (TPC) algorithm is a representative technique to increase the lifetime of sensor devices. Sensor devices using a TPC algorithm control their transmission power level (TPL) to reduce battery energy consumption. The TPC algorithm operates on a closed-loop mechanism that consists of two parts, such as sensor and sink devices. Most previous research considered only the sink part of devices in the closed-loop. If we consider both the sensor and sink parts of a closed-loop mechanism, sensor devices reduce energy consumption more than previous systems that only consider the sensor part. In this paper, we propose a new approach to consider both the sensor and sink as part of a closed-loop mechanism for efficient energy management of sensor devices. Our proposed approach judges the current channel condition based on the values of various body sensors. If the current channel is not optimal, sensor devices maintain their current TPL without communication to save the sensor's batteries. Otherwise, they find an optimal TPL. To compare performance with other TPC algorithms, we implemented a TPC algorithm and embedded it into sensor devices. Our experimental results show that our new algorithm is better than other TPC algorithms, such as linear, binary, hybrid, and ATPC.

Influence Factors on Medical Expenditure according of Occupation Classification (직업분류에 따른 의료비 지출 규모와 영향 요인)

  • Choi, Ryoung
    • Journal of Digital Convergence
    • /
    • v.17 no.4
    • /
    • pp.203-210
    • /
    • 2019
  • This study analyzed the size and influence factors of annual average health expenditure according to job type. Using data from the Korea Health Panel (2012), the final analysis was conducted on adults aged 20 years or older, excluding the missing data. Data analysis was done by logistic regression analysis to analyze the factors affecting medical expenditure. As a result of the study, Model 1 showed higher expenditure on medical expenses by skilled workers in agriculture and forestry fishery than those in simple labor. Model 2 was analyzed as having a positive effect on the increase of medical expenditure by the simple worker in the sales of the occupation, statistically significant by sex, marriage, income level and chronic disease. Therefore, it would be necessary to establish social security and health care & welfare policies, in order to grasp the disease with a high frequency rate according to occupation status and activate the physical examination and preventive actions.

Case Study on the Building Organization of Medibio Research Laboratory Facilities in Research-driven Hospital (연구중심병원 의생명연구원의 실험실 구성 사례 조사)

  • Kim, Young-Aee
    • Journal of the Architectural Institute of Korea Planning & Design
    • /
    • v.34 no.11
    • /
    • pp.95-104
    • /
    • 2018
  • Healthcare technology has been growing and fostering cooperation between industry, university and hospitals as growth engines in korea. So, the medibio research institutes in hospital have been constructed to promote research and industrialization centering on healthcare technology. The purpose of this study is to investigate the cases of research institutes in hospitals, and search the characteristics of building organization of medibio research laboratory facilities. Case study is investigated by floor plan, homepage and site visits about five research institutes selected in research-driven hospitals. The facility title and size of research laboratory is originated from site area and research building location. The building function include not only the research lab and business office reflecting on the development platform, and but assembly and meeting room in the ground level. Laboratory floor plans have three types, rectangular, rectangular+linear and linear type, one is traditional and efficient, the others are people and friendly. And building core types are correlated with lab space unit modules, single and double side core are shown in rectangular type. All the laboratories are open lab, composed with laboratory bench and research note writing desk facing the lab service and enclosed lab-support area. And they have communication space looking as warm and cozy common area for the innovation, convergence and collaboration. As the high risk of contamination and high standard for safety and security, equipment and facilities are well managed with biological environment including BSC, fume hood, PCR classification, eye washing and emergency shower.

Evaluation of SPACE Code Prediction Capability for CEDM Nozzle Break Experiment with Safety Injection Failure (안전주입 실패를 동반한 제어봉구동장치 관통부 파단 사고 실험 기반 국내 안전해석코드 SPACE 예측 능력 평가)

  • Nam, Kyung Ho
    • Journal of the Korean Society of Safety
    • /
    • v.37 no.5
    • /
    • pp.80-88
    • /
    • 2022
  • The Korean nuclear industry had developed the SPACE (Safety and Performance Analysis Code for nuclear power plants) code, which adopts a two-fluid, three-field model that is comprised of gas, continuous liquid and droplet fields and has the capability to simulate three-dimensional models. According to the revised law by the Nuclear Safety and Security Commission (NSSC) in Korea, the multiple failure accidents that must be considered for the accident management plan of a nuclear power plant was determined based on the lessons learned from the Fukushima accident. Generally, to improve the reliability of the calculation results of a safety analysis code, verification is required for the separate and integral effect experiments. Therefore, the goal of this work is to verify the calculation capability of the SPACE code for multiple failure accidents. For this purpose, an experiment was conducted to simulate a Control Element Drive Mechanism (CEDM) break with a safety injection failure using the ATLAS test facility, which is operated by Korea Atomic Energy Research Institute (KAERI). This experiment focused on the comparison between the experiment results and code calculation results to verify the performance of the SPACE code. The results of the overall system transient response using the SPACE code showed similar trends with the experimental results for parameters such as the system pressure, mass flow rate, and collapsed water level in component. In conclusion, it can be concluded that the SPACE code has sufficient capability to simulate a CEDM break with a safety injection failure accident.

A Case Study on the Protection of Accounts and Assets on Cryptocurrency Exchanges: Focusing on the Processes of Related Institutions (가상통화거래소의 계정 및 자산 보호에 관한 사례연구: 유관기관의 프로세스를 중심으로)

  • Yoonjoo Lee;Dongwon Lee;Ingoo Han
    • Information Systems Review
    • /
    • v.22 no.4
    • /
    • pp.135-161
    • /
    • 2020
  • With the growth of blockchain and cryptocurrency-related markets, cryptocurrency exchanges are growing as a new industry. However, as the legal and regulatory definitions of cryptocurrencies are still in progress, unlike existing industrial groups, they are not under the supervision of regulatory agencies. As a result, users (i.e., cryptocurrency investors) have suffered two types of damage that could occur from hacking and other accidents on the exchanges. One type of the damage is the loss of assets caused by the extortion of personal information or account and the other is the damage from users who might be involved in external frauds. Both are analyzed in comparison with existing operators whose functions are like the exchanges. The results of this study show that membership (KYC: Know Your Client), log-in, and additional authentication in transactions are on the similar level to those of the operators while the fraud detection system (FDS) and anti-money laundering (AML) of fiat currencies and cryptocurrencies need rapid improvement.

Factors Influencing the Discomfort of Chewing in the Elderly : Use of the 8th national health and nutrition survey (장·노년층의 저작불편감에 영향을 주는 요인 : 제8기 국민건강영양조사 이용)

  • Ho-Jin Jeong
    • Journal of The Korean Society of Integrative Medicine
    • /
    • v.12 no.2
    • /
    • pp.25-32
    • /
    • 2024
  • Purpose: This study utilizes big data from the 8th (2021) National Health and Nutrition Examination Survey to determine first, the relationship between chewing discomfort in the elderly and some systemic diseases and second, whether oral diseases and oral health problems are related to systemic diseases. Since this may have an impact, we aim to provide basic data to facilitate the expansion and emphasize the importance of integrated health management education. Methods: Original data from the 8th (2021) National Health and Nutrition Survey, conducted by the Korea Centers for Disease Control and Prevention, were analyzed using SPSS Version 21.0 (IBM). A complex sample frequency analysis was conducted to confirm the general and health-related characteristics of the study subjects, and a complex sample cross-analysis was conducted to determine chewing discomfort according to both general and health-related characteristics. Complex sample multiple logistic regression analysis was conducted to determine the effect on chewing discomfort. Results: In order to analyze the factors that affect chewing discomfort, the general characteristics that showed significant differences in chewing discomfort were adjusted for age, personal income, education level, basic livelihood security, high blood pressure, subjective health status, and subjective oral health. It was found that the condition had a statistically significant effect on chewing discomfort. Conclusion: The findings of this study demonstrate that high blood pressure, subjective health status, and subjective oral health status affect chewing discomfort; hence, measures such as developing and operating programs to improve national oral health are needed. We hope that our study will be used as basic data for research into chewing discomfort and systemic diseases in the elderly.