• Title/Summary/Keyword: 기록 기술

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Effects of the Severity and Depression on the Quality of Sleep of Restless Legs Syndrome Patients (하지불안증후군 환자의 중증도 및 우울이 수면의 질에 미치는 영향)

  • Han, Eun Kyoung
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.200-208
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    • 2017
  • The purpose of this study was to examine the relationship of the severity, depression and to identify factors influencing quality of sleep in Restless Legs Syndrome(RLS) patients. A total of 303 consecutive RLS patients were assessed by self questionnaires and participant's medical records were reviewed for obtaining their clinical information. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression. The quality of sleep was positively correlated with symptoms(r=. 21, p<.001) and depression(r=. 37, p<.001). The results of multiple regression analysis showed that significant variables influencing the quality of sleep were depression(${\beta}=.35$, p<.001), age(${\beta}=.21$, p<.001), and severity(${\beta}=.15$, p=.005). The explanation power of this regression model was 21.0% and it was statistically significant. As a result, to improve their sleep quality, the nursing interventions are required for RLS patients who have the depression, age, and severity.

A Study of the Improvement of Execution Speed and Loading of Java Card Program by applying prefetching LRU-OBL Buffer Technique (선반입 LRU-OBL 버퍼 기법을 적용한 자바 카드 프로그램 적재 및 실행 속도 개선에 관한 연구)

  • Oh, Se-Won;Choi, Won-Ho;Jung, Min-Soo
    • Journal of Korea Multimedia Society
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    • v.10 no.9
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    • pp.1197-1208
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    • 2007
  • These days, most of SMART card, JAVA card, picked up the JAVA Card Platform gets the position as a standard. Java Card technology provides implantation, platform portability and high security function to SMART Card. Compared to normal Smart Card, JAVA card has a defect that is a low running speed caused by a distinctive feature of JAVA programming language. Factors that affect JAVA Card execution speed are the method how to save the data and install the applets of JAVA Card installation instrument. In this paper, I will offer the plan to improve JAVA Card program's loading and execution speed. At Java Card program, writing, updating and deleting process for data at EEPROM can be improved of Java Card speed by using high speed RAM. For this, at JAVA Card as a application of RAM, I will present prefetching LRU-ORL Buffer Cache Technique that is suitable for Java Card environment. As a data character, managing all data created from JAVA Curd at Buffer Cache, decrease times of recording at maximum for EEPROM so that JAVA Card program upload and execution speed will be improved.

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A Study on Human-friendly Path Decision using Fuzzy Logic (퍼지 로직을 이용한 인간 친화적인 경로 설정에 관한 연구)

  • Choi, Woo-Kyung;Kim, Seong-Joo;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.5
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    • pp.616-621
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    • 2006
  • Recently many cars are equipping a navigation system. The main purpose of the early system guides a user through the route. A navigation system includes various abilities by development of various technologies and it has given more convenience to user. It can play various records on the tape and announces which are useful information about each road. Also it can use various multi-media contents by DMB device during driving. However, guide function of basic and important road in the navigation system has not grown greatly yet. In this paper, we proposed recommendation method of human-friendly road considering user's condition through various information of outside environment, user's velocity intention, a driver's emotion and a preference of the road. Modules consists of hierarchical structure that can easily correct and add each algorithm and those use fuzzy logic algorithm.

Research Trends on Mt. Baekdu Volcano - Is She Dormant or Active? - (백두산 화산 관련 연구 동향 - 휴화산/활화산 논쟁과 관련하여 -)

  • PARK, Kyeong
    • Journal of The Geomorphological Association of Korea
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    • v.20 no.4
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    • pp.117-131
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    • 2013
  • 2010 eruption of Eyjafjallajokull volcano in Iceland and 2011 Shinmoedake's eruption in Japan evoked concerns from researchers for the possibility of explosion of Baekdusan volcano after long dormancy (repose period). National Emergency Management Administration has tried to evaluate the vulnerability of volcanic disaster and to prepare response to the potential risk and to mitigate the damages from the volcanic eruption, but a few studies have focused on the activities of Baekdusan. This study aims to clarify what the criteria between dormant volcano and active volcano based on geomorphologists' and geologists' researches. Volcanic experts have made a criterion of activeness such as the evidence of volcanic eruption within 10,000 year before present. More rigorous criterion which was made in 1991 by Japanese Meteorological Administration was 2000 years B.P. Both Baekdusan and Hallasan satisfy two criteria, so it is necessary for us to monitor the activity of both volcanoes and to reflect the facts into the curriculum.

A Study on Clinical Decision Support System based on Common Data Model (공통데이터모델 기반의 임상의사결정지원시스템에 관한 연구)

  • Ahn, Yoon-Ae;Cho, Han-Jin
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.117-124
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    • 2019
  • Recently, medical IT solutions are being provided on a distributed environment basis. In Korea, the necessity of developing a clinical decision support system that can share medical information in a distributed environment has been recognized and studied. The existing clinical decision support system is being built using only medical information of its own within the hospital. This makes it difficult for existing systems to achieve good results in terms of efficiency and accuracy of decision support. In order to solve these limitations, this paper proposes a design and implementation method of clinical decision support system based on common data model in medical field. To explain the application process of the proposed model, we describe the development scenario of the clinical decision support system for the diagnosis of colorectal cancer. We also propose the essential requirements for the development of successful clinical decision support systems. Through this, it is expected that it will be possible to develop clinical decision support system that can be used in various hospitals and improve the efficiency and accuracy of the system.

Identifying High-Priority Management Areas for Developing the Urban Disaster Risk Management System for Flood (도시 재해저감 업무지원 시스템 구현을 위한 도시침수 중점관리 대상지 선정)

  • Kim, Mi-Eun;Kim, Seul-Ye;Lee, Sang-Eun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.128-128
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    • 2016
  • 전 세계적으로 물과 관련된 자연재해 피해가 지속적으로 증가하고 있고 세계재난데이터베이스(EM-DAT)에서 집계한 물과 관련된 중요한 자연재해의 피해액은 지난 50년 동안 많은 투자에도 불구하고 여전히 피해액이 증가되고 있다. 특히, 우리나의 경우, 전 국토의 70% 이상이 산악지형으로 구성된 지형적 요인, 인구 및 사회기반시설이 집중되는 도시지역의 확대 현상, 빈번히 발생되는 이상강우와 강우강도의 증가 등으로 전국 곳곳에서 큰 침수피해가 반복적으로 발생하고 있다. 이러한 도시침수의 저감대책을 마련하기 위해 정부부처에서 도시계획적 및 방재차원에서 관련 정책을 제시하고 있지만 실무적 측면에서 실효성이 낮은 실정이다. 이러한 문제점을 해결하기 위해 지자체 담당자의 업무부담을 줄여주면서 기술지원이 가능한 도시침수 위험도 관리시스템을 구축하고자 한다. 이에 따라 재해에 대해 평상시 위험도 정보를 기초로 시설투자, 개발계획 조정 등 사전대책을 마련할 수 있는 도시침수의 위험정도에 따른 지역 분석과 중점관리 대상지 선정 기준이 필요하다. 따라서 본 연구에서는 재해통계자료를 토대로 전국 226개 지자체에 대해, 최근 8년(2008~2014년) 간 발생된 호우 발생빈도와 피해액의 관계분석을 통하여 도시침수의 위험지역을 분류하였다. 국가재난정보센터의 재난통계기록의 호우발생횟수와 도시침수에 대한 피해정도를 고려하기 위해 건물과 공공시설에 대한 피해액을 분석항목으로 적용하였다. 이에 대한 도시지역의 침수발생에 대한 중점관리대상지 선정을 위하여 각 행정구역의 면적계수를 적용한 뒤 분위분석을 실시하였다. 호우 발생빈도와 피해액에 따라 위험도가 75% 이상으로 도시의 침수피해가 가장 높은 지역, 50% 이상이며 75% 미만인 지역, 25% 이상이며 50% 미만인 지역, 25% 미만으로 위험도가 가장 낮은 지역으로 도시침수 위험지역을 상세 분류하고 도시침수에 의한 중점관리가 필요한 대상지 35개 지역을 선정하였다. 본 연구의 결과는 지역의 도시계획 및 방재 측면에서 도시침수와 관련된 저감대책을 고려 시 기초자료로 활용 가능하고, 지자체별 지원 규모 설정 시 적정 기준제시가 가능할 것이다.

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Estimation of Probable Maximum Precipitation In Korea : Comparison with 2004 Result (한국 가능최대강수량 추정 : 2004년 결과와의 비교)

  • Lee, Okjeong;Sim, In Kyeong;Kim, Sangdan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.194-194
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    • 2018
  • 현재까지 우리나라에서는 공식적으로 총 세 번의 전국 가능최대강수량(Probable Maximum Precipitation, PMP) 추정이 이루어졌다. 첫 번째는 1988년에 건설부 주도로 작성된 바 있는데, 1987년까지의 관측된 기상자료를 이용한 수문기상학적인 방법을 전국에 적용하여 한국가능최대강수량도를 작성하였다. 이후 12년 뒤인 2000년에 건설교통부 주도로 그 동안의 축적된 관측자료를 추가하여 한국가능최대강수량을 추정하였다(건설교통부, 2000a). 2000년의 전국 PMP도 추정은 WMO 보고서(WMO, 1986)를 가능한 충실히 반영하려는 노력이 있었으며, 과학적인 측면에서도 한층 진일보된 PMP도가 생산되었다고 평가할 수 있다. 그러나 2000년 이후 태풍 '루사' 또는 태풍 '매미'와 같은 관측 최대 강우량 기록을 경신하는 대형 호우사상들이 연이어서 발생하였기 때문에, 기존에 추정된 전국 PMP도에 대한 의문이 제기됨에 따라 해당 호우들을 추가하여 전국 PMP도를 개략적으로 재산정하여 제시한 바 있다(건설교통부, 2004). 국외에서는 PMP 추정의 표준으로 인정받고 있는 World Meteorological Organization (WMO) 보고서(WMO, 1986)가 2009년에 수정되어 발간됨에 따라 PMP 추정절차 중 일부 방법에 대한 기술적 보완이 이루어졌다(WMO, 2009). 그러나 우리나라의 경우 2008년 PMP 및 PMF 산정절차 지침 수립 용역 이후 중앙정부 차원의 전국 PMP도 생산은 더 이상 추진되고 있지 않은 상태이기 때문에, 2018년 현재에도 2000년 혹은 2004년에 재산정된 전국 PMP도를 그대로 수자원 실무에 이용하고 있다. 이에 본 연구에서는 WMO(2009)에서 제시하는 방법 및 최근 국외에서 적용되고 있는 PMP 추정방식을 참고하여 1973년부터 2017년까지의 기상 자료를 이용하여 전국을 대상으로 PMP를 추정하여 다양한 지속시간별 영향면적별 전국 PMP도를 생산하고 기존 2004년 보고서 결과와 비교를 수행하고자 한다.

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Development of Device Management and Safety Diagnosis Manual for Electrical Stimulating Swallowing-Assist Equipments (전기적 자극방식 삼킴 보조 치료기의 장비관리/안전진단 매뉴얼 개발)

  • Heo, S.Y.;Choi, B.G.;Rhee, G.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.8 no.2
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    • pp.79-88
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    • 2014
  • In Republic of Korea, there are considerable vulnerability in electrical stimulating swallowing-assist equipments even though they are professional medical equipments and have high penetration rate with heavy frequency of use. Therefore, in this article, we developed Device Management and Safety Diagnosis Manual for Electrical Stimulating Swallowing-Assist Equipments system. For achieving this, we collected and analysed international standard data from international organizations like International Electrotechnical Commission(IEC). After literature reviews, we build maintenance worksheet and equipment procedure manual for electrical stimulating swallowing-assist equipments according to evidences we collected. These manual and protocol would be used as standard process and contribute to sustain accuracy, effectiveness of the devices, also decrease failure rate and assist to save medical documents.

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A Study on the Timing of Convertible Bonds Using the Machine Learning Model (기계학습 모형을 이용한 전환사채 행사 시점에 관한 연구)

  • Ryu, Jae Pil
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.81-88
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    • 2021
  • Convertible bonds are financial products that contain the nature of both bonds and shares, which are generally issued by companies with lower credit ratings to increase liquidity. Conversion bonds rely on qualitative judgment in the past, although decision-making on whether and when to exercise the right to convert is the most important issue. Therefore, this paper proposes to apply artificial neural network techniques to scientifically determine the exercise of conversion rights. We distinguish between a total of 1,800 learning data published in the past and 200 predictive experimental data and build an artificial neural network learning model. As a result, the parity performance in most groups was excellent, achieving an average excess of about 10% or more. In particular, groups 3-6 recorded an average excess of about 20% and group 6 recorded an average excess of about 37%. This paper is meaningful in that it focused on solving decision problems by converging and applying machine learning techniques, a representative technology of the fourth industry, to the financial sector.

A Scheme of Identity Authentication and Anomaly Detection using ECG and Beacon-based Blockchain (ECG와 비콘 기반의 블록체인을 이용한 신원 인증 및 이상징후 탐지 기법)

  • Kim, Kyung-Hee;Lee, Keun-Ho
    • Journal of Internet of Things and Convergence
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    • v.7 no.3
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    • pp.69-74
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    • 2021
  • With the recent development of biometric authentication technology, the user authentication techniques using biometric authentication are increasing. Various problems arised in certification techniques that use various existing methods such as ID/PW. Therefore, recently, a method of improving security by introducing biometric authentication as secondary authentication has been used. In this thesis, proposal of the user authentication system that can detect user identification and anomalies using ECGs that are extremely difficult to falsify through the electrical biometric signals from the heart among various biometric authentication devices is studied. The system detects user anomalies by comparing ECG data received from a wrist-mounted wearable device-type ECG measurement tool with identification and ECG data stored in blockchain form on the database and identifying the user's location through a beacon system.