• 제목/요약/키워드: Paper record

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WindowsCE 기반 통합형 RFID에서의 이력관리 방법 (Record Management unified RFID System based on WindowsCE)

  • 최자영;김태성;박홍성
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2006년도 하계학술대회
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    • pp.265-268
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    • 2006
  • This paper, suggest the Rrecord Management solution for unified RFID leader System based on WindowsCE. The unified RFID Reader System consider of RFID Module, GPS Module, CPU Module, WLAN(or CDMA) Module and DB into Local DB and Remote DB for of effective Record Management Systems.

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Estimation for Two-Parameter Generalized Exponential Distribution Based on Records

  • Kang, Suk Bok;Seo, Jung In;Kim, Yongku
    • Communications for Statistical Applications and Methods
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    • 제20권1호
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    • pp.29-39
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    • 2013
  • This paper derives maximum likelihood estimators (MLEs) and some approximate MLEs (AMLEs) of unknown parameters of the generalized exponential distribution when data are lower record values. We derive approximate Bayes estimators through importance sampling and obtain corresponding Bayes predictive intervals for unknown parameters for lower record values from the generalized exponential distribution. For illustrative purposes, we examine the validity of the proposed estimation method by using real and simulated data.

ON CHARACTERIZATIONS OF THE CONTINUOUS DISTRIBUTIONS BY INDEPENDENCE PROPERTY OF THE QUOTIENT-TYPE UPPER RECORD VALUES

  • LEE, MIN-YOUNG;JIN, HYUN-WOO
    • Journal of applied mathematics & informatics
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    • 제37권3_4호
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    • pp.245-249
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    • 2019
  • In this paper we obtain characterizations of a family of continuous probability distribution by independence property of upper record values. Also, we introduce some examples of the characterizations of distributions from these general classes of continuous distributions.

ON CHARACTERIZATIONS OF THE CONTINUOUS DISTRIBUTIONS BY INDEPENDENT PROPERTY OF THE DIFFERENCE-TYPE k-TH LOWER RECORD VALUES

  • HYUN-WOO JIN
    • Journal of applied mathematics & informatics
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    • 제41권4호
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    • pp.821-829
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    • 2023
  • In this paper, we obtain characterizations of continuous distributions based on the independent property of generalized record values extending the characterization results reported by Jin and Lee [4], Skřivánková and Juhás [8]. Also, example of special cases of general classes as Bur types, Pareto, power and Weibull distribution are discussed.

기록정보 LOD 구축을 위한 의미 상호연결 자동화 실험 연구 (An Experimental Study on the Automatic Interlinking of Meaning for the LOD Construction of Record Information)

  • 하승록;안대진;임진희
    • 한국기록관리학회지
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    • 제17권4호
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    • pp.177-200
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    • 2017
  • 빅데이터, 인공지능 등 신기술 환경에서 LOD는 기록정보자원을 내외부의 다양한 데이터들과 연결되도록 할 것이다. 이러한 연결의 중심에는 상호연결(Interlinking) 기술이 존재하며, 상호연결된 LOD는 기록정보 개방을 데이터 개방(Open Data)의 최상위 단계로 실현할 것이다. 지속적으로 증가하는 기록의 양을 감안하면, LOD 구축 시 상호연결 알고리즘을 통한 자동화는 필수적이다. 이에 본 연구는 기록정보가 외부 데이터와 상호연결되는 구조와 상호연결 시 고려해야 할 기록정보의 특성을 분석하였다. 또한 국가기록원 CAMS 데이터의 샘플을 수집하여 기록정보 LOD를 구축한 뒤, 기록물 메타데이터의 인물정보를 DBPedia와 자동으로 상호연결하는 테스트베드를 진행하였다. 이를 통해 상호연결 자동화 프로세스를 확인하고, 자동화 기술의 성능과 정확도를 확인하였다. 그리고 테스트베드를 통해 얻은 시사점을 통해 기록정보 LOD 상호연결 과정의 고려사항을 파악하였다.

부산·경남지역 의무기록사 직무분석 (A Study on the Job Description of Medical Record Administrator in Busan and Gyeongnam)

  • 정미영;김혜숙;김경나
    • 보건의료산업학회지
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    • 제6권4호
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    • pp.61-72
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    • 2012
  • The purpose of this study was to propose how to improve and develop the college curriculum of medical record administration, satisfying requirements from hospitals having medical record administrators. For the purpose, this researcher surveyed medical record administrators serving at hospitals located in Busan, Changwon, Masan and Jinju. Finally analyzed were responses from 100 medical recorders. The frequency of searching medical records to support information use was statistically different among hospitals according to the number of sick beds(p=.041), or $3.16{\pm}1.75$ for fewer than 300 sick beds, $4.28{\pm}2.42$ for 300 to 500 and $4.86{\pm}3.18$ for more than 500. The college course that was regarded as most important by most of the surveyed medical record administrators, or 53(37.2%) was medical terminology, followed by statistics by 36 of the respondents(18.5%) and EMR, 25(12.8%) in order. To make EMR truly effective requires reforming the university curriculum of medical record administration and giving more attention and more supports to training for better computerization, realizing that medical record administrators serve as a true manager of health and medical information, not a person who just paper-based medical information. In addition to managing health and medical information, medical record administrators are expected to have more roles in the future, for example, providing high-quality clinic knowledge and medical information that are necessary for efficient hospital management and medical research to survive competition.

정보자원의 개방과 연계를 위한 SRU, SRU Record Update 프로토콜 연구 (A Study on SRU & SRU Record Update Protocol for Openness and Linkage of Resources)

  • 이지원
    • 한국도서관정보학회지
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    • 제40권3호
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    • pp.317-336
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    • 2009
  • 다양한 가상공간에 산재하는 많은 분산자원들을 보다 효과적으로 활용하기 위하여 여러 프로토콜들이 개발되어 왔다. 이 연구는 분산 정보자원 검색과 갱신을 위한 SRU, SRU Record Update 프로토콜의 개발 배경, 기능, 구성 요소 등을 살펴봄으로 새로운 표준 프로토콜에 대한 이해를 넓히기 위함이다. 또한 다른 프로토콜과의 비교 및 실제 구현 사례 등을 통하여 자관의 정보자원을 외부에 효과적으로 제공하고, 외부 정보자원을 적절히 활용하려는 도서관 및 정보서비스 기관들에게 상호운용성 보장을 위한 실제적인 방안을 제시하기 위함이다.

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CHARACTERIZATIONS OF BETA DISTRIBUTION OF THE FIRST KIND BY CONDITIONAL EXPECTATIONS OF RECORD VALUES

  • Lee, Min-Young;Chang, Se-Kyung
    • Journal of applied mathematics & informatics
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    • 제13권1_2호
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    • pp.441-446
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    • 2003
  • Let { $X_{n}$ , n $\geq$ 1} be a sequence of independent and identically distributed random variables with a common continuous distribution function F(x) and probability density function f(x). Let $Y_{n}$ = max{ $X_1$, $X_2$, …, $X_{n}$ } for n $\geq$ 1. We say $X_{j}$ is an upper record value of { $X_{n}$ , n$\geq$1} if $Y_{j}$ > $Y_{j-1}$, j > 1. The indices at which the upper record values occur are given by the record times {u(n)}, n$\geq$1, where u(n) = min{j|j>u(n-1), $X_{j}$ > $X_{u}$ (n-1), n$\geq$2} and u(1) = 1. We call the random variable X $\in$ Beta (1, c) if the corresponding probability cumulative function F(x) of x is of the form F(x) = 1-(1-x)$^{c}$ , c>0, 0$\leq$x$\leq$1. In this paper, we will give a characterization of the beta distribution of the first kind by considering conditional expectations of record values.s.

RECURRENCE RELATIONS FOR QUOTIENT MOMENTS OF THE EXPONENTIAL DISTRIBUTION BY RECORD VALUES

  • LEE, MIN-YOUNG;CHANG, SE-KYUNG
    • 호남수학학술지
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    • 제26권4호
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    • pp.463-469
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    • 2004
  • In this paper we establish some recurrence relations satisfied by quotient moments of upper record values from the exponential distribution. Let $\{X_n,\;n{\geq}1\}$ be a sequence of independent and identically distributed random variables with a common continuous distribution function F(x) and probability density function(pdf) f(x). Let $Y_n=max\{X_1,\;X_2,\;{\cdots},\;X_n\}$ for $n{\geq}1$. We say $X_j$ is an upper record value of $\{X_n,\;n{\geq}1\}$, if $Y_j>Y_{j-1}$, j > 1. The indices at which the upper record values occur are given by the record times {u(n)}, $n{\geq}1$, where u(n)=min\{j{\mid}j>u(n-1),\;X_j>X_{u(n-1)},\;n{\geq}2\} and u(1) = 1. Suppose $X{\in}Exp(1)$. Then $\Large{E\;\left.{\frac{X^r_{u(m)}}{X^{s+1}_{u(n)}}}\right)=\frac{1}{s}E\;\left.{\frac{X^r_{u(m)}}{X^s_{u(n-1)}}}\right)-\frac{1}{s}E\;\left.{\frac{X^r_{u(m)}}{X^s_{u(n)}}}\right)}$ and $\Large{E\;\left.{\frac{X^{r+1}_{u(m)}}{X^s_{u(n)}}}\right)=\frac{1}{(r+2)}E\;\left.{\frac{X^{r+2}_{u(m)}}{X^s_{u(n-1)}}}\right)-\frac{1}{(r+2)}E\;\left.{\frac{X^{r+2}_{u(m-1)}}{X^s_{u(n-1)}}}\right)}$.

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CHARACTERIZATIONS BASED ON THE INDEPENDENCE OF THE EXPONENTIAL AND PARETO DISTRIBUTIONS BY RECORD VALUES

  • LEE MIN-YOUNG;CHANG SE-KYUNG
    • Journal of applied mathematics & informatics
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    • 제18권1_2호
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    • pp.497-503
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    • 2005
  • This paper presents characterizations on the independence of the exponential and Pareto distributions by record values. Let ${X_{n},\;n {\ge1}$ be a sequence of independent and identically distributed(i.i.d) random variables with a continuous cumulative distribution function(cdf) F(x) and probability density function(pdf) f(x). $Let{\;}Y_{n} = max{X_1, X_2, \ldots, X_n}$ for n \ge 1. We say $X_{j}$ is an upper record value of ${X_{n},{\;}n\ge 1}, if Y_{j} > Y_{j-1}, j > 1$. The indices at which the upper record values occur are given by the record times {u(n)}, n \ge 1, where u(n) = $min{j|j > u(n-1), X_{j} > X_{u(n-1)}, n \ge 2}$ and u(l) = 1. Then F(x) = $1 - e^{-\frac{x}{a}}$, x > 0, ${\sigma} > 0$ if and only if $\frac {X_u(_n)}{X_u(_{n+1})} and X_u(_{n+1}), n \ge 1$, are independent. Also F(x) = $1 - x^{-\theta}, x > 1, {\theta} > 0$ if and only if $\frac {X_u(_{n+1})}{X_u(_n)}{\;}and{\;} X_{u(n)},{\;} n {\ge} 1$, are independent.