• 제목/요약/키워드: Data Paper

검색결과 56,265건 처리시간 0.062초

Characterization Studies on Data Access Bias in Mobile Platforms

  • Bahn, Hyokyung
    • International journal of advanced smart convergence
    • /
    • 제10권4호
    • /
    • pp.52-58
    • /
    • 2021
  • Data access bias can be observed in various types of computing systems. In this paper, we characterize the data access bias in modern mobile computing platforms. In particular, we focus on the access bias of data observed at three different subsystems based on our experiences. First, we show the access bias of file data in mobile platforms. Second, we show the access bias of memory data in mobile platforms. Third, we show the access bias of web data and web servers. We expect that the characterization study in this paper will be helpful in the efficient management of mobile computing systems.

개인 건강 정보 처리를 위한 배치 어플리케이션에서 데이터 질의 속도 향상을 위한 PHDItemReader 설계 및 구현 (Desgin and Implementation of PHDItemReader to Speed up Data Query in Batch Application for Processing Personal Health Record)

  • 전동철;황희정
    • 한국멀티미디어학회논문지
    • /
    • 제23권12호
    • /
    • pp.1496-1506
    • /
    • 2020
  • With the progress of miniaturization and high performance of various sensors, a lot of data is generated in various fields and being collected in real-time, but the use of such large-capacity data is often unable to keep up with the collection technology. In the medical field, health data is collected and managed by platform, which causes inconvenience to users in searching their own health data and receiving medical services. In this paper, in order to solve these problems, we designed and implemented PHDItemReader to improve the speed of data query in a batch application environment that can integrate and process health data having various data expression formats. The experiment compared and analyzed 3 types of query speed based on 1,000,000 hypothetical health data, and as a result of the experiment, it was verified that the PHDItemReader implemented in this paper improved up to about 21% compared to the existing one.

링 구조의 데이터 통신망에서의 라우팅 방안 (Routing Algorithms on a Ring-type Data Network)

  • 주운기
    • 한국경영과학회:학술대회논문집
    • /
    • 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
    • /
    • pp.238-242
    • /
    • 2005
  • This paper considers a routing problem on a RPR(Resilient Packet Ring). The RPR is one of the ring-type data telecommunication network. Our major problem is to find an optimal routing algorithm for a given data traffic on the network under no splitting the traffic service, where the maximum load of a link is minimized. This paper characterizes the Minmax problem and develops two heuristic algorithms. By using the numerical comparison, we show that our heuristic algorithm is valuable for efficient routing the data traffic on a RPR.

  • PDF

Development of the SAR Data Processing Package

  • Kim Kwang-Yong;Jeong Soo;Kim Kyoung-Ok
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
    • /
    • pp.526-528
    • /
    • 2004
  • This paper describes the SAR data processing S/W package it will be able to process the SAR image. This package constructs the several modules: SAR Image processing module, measuring module of surface displacement using differential interferometric SAR method, classification module using the POLSAR data, SAR Focusing module. In this paper, briefly describe the algorithm that is adopted to the functions, and module architecture.

  • PDF

A Family of Tests for Trend Change in Mean Residual Life using Censored Data

  • Na, Myung-Hwan;Kim, Jae-Joo
    • International Journal of Reliability and Applications
    • /
    • 제1권1호
    • /
    • pp.39-47
    • /
    • 2000
  • In a resent paper, Na and Kim(2000) develop a family of test statistics for testing whether or not the mean residual life changes its trend based on complete data and show that the new tests perform better than previously known tests. In this paper, we extend their tests to the randomly censored data. The asymptotic normality of the test statistics is established. Monte Carlo simulations are conducted to compare our tests with a previously known test by the power of tests.

  • PDF

다중표적 추적필터와 자료연관 기법동향 (Multi-target Tracking Filters and Data Association: A Survey)

  • 송택렬
    • 제어로봇시스템학회논문지
    • /
    • 제20권3호
    • /
    • pp.313-322
    • /
    • 2014
  • This paper is to survey and put in perspective the working methods of multi-target tracking in clutter. This paper includes theories and practices for data association and related filter structures and is motivated by increasing interest in the area of target tracking, security, surveillance, and multi-sensor data fusion. It is hoped that it will be useful in view of taking into consideration a full understanding of existing techniques before using them in practice.

A Generalized Mixed-Effects Model for Vaccination Data

  • Choi, Jae-Sung
    • Journal of the Korean Data and Information Science Society
    • /
    • 제15권2호
    • /
    • pp.379-386
    • /
    • 2004
  • This paper deals with a mixed logit model for vaccination data. The effect of a newly developed vaccine for a certain chicken disease can be evaluated by a noninfection rate after injecting chicken with the disease vaccine. But there are a lot of factors that might affect the noninfecton rate. Some of these are fixed and others are random. Random factors are sometimes coming from the sampling scheme for choosing experimental units. This paper suggests a mixed model when some fixed factors need to have different experimental sizes by an experimental design and illustrates how to estimate parameters in a suggested model.

  • PDF

Data Governance 평가를 위한 속성지표 연구 (A Study on Attribute Index for Evaluation of Data Governance)

  • 장경애;김우제
    • 정보처리학회논문지:소프트웨어 및 데이터공학
    • /
    • 제6권2호
    • /
    • pp.57-66
    • /
    • 2017
  • 데이터 거버넌스는 연구초기 단계의 영역이므로 개념정의와 구성요소 정립에 연구가 집중되어 있다. 그러나 데이터 거버넌스의 도입에 대한 의사결정을 돕기 위해서 데이터 거버넌스의 평가에 관한 연구 또한 필요하다. 본 연구는 데이터 거버넌스 프레임워크에서 데이터 거버넌스를 평가하기 위한 속성지표에 관한 연구이다. 이를 위하여 RGT와 Laddering기법을 적용하여 전문가 인터뷰를 실시하였고, 이 결과를 제3자 차원의 검증을 위해서 설문과 통계적인 검증분석을 실시하였다. 통계적인 분석에는 크론바하 알파 계수, MANOVA, 상관분석을 실시하였다. 이를 통해서 데이터 거버넌스 속성지표를 데이터 통제영역에는 8개의 속성지표, 데이터 품질영역에 16개의 속성지표, 데이터 조직영역에 7개의 속성지표를 도출하였다. 또한 AHP기법을 적용하여 속성지표의 가중치와 우선순위를 선별하였다. 이 연구결과는 데이터 거버넌스의 개념정립과 구성요소의 명확한 이해 및 기업의 거버넌스 도입과 운영의 기초자료로 활용될 것이다.

신뢰성 확률지의 전산화에 관한 연구 (Ⅵ) (Studies on the Computerization of Reliability Paper (Ⅵ))

  • 정수일
    • 산업경영시스템학회지
    • /
    • 제22권50호
    • /
    • pp.373-380
    • /
    • 1999
  • This paper summerizes the former 5 papers that studied computer programming for the estimation of the Weibull, Extreme value, Hazard, Normal and Log-normal parameters which have a close relation with the reliability of the various kinds of industrial products. Probability paper is very commonly used in estimating the parameters, however, it is very hard to neglect the errors in plotting the data, and especially in drawing the regression line. The main purpose of this paper is to reduce these errors and to help the engineers to use the parameters in improving the reliability of their prod- ucts. The following parts are included in the computer programming with the em- phases on significant digits and rounding of numerical values : $\bullet$ data input part for various cases $\bullet$ parameter estimation part $\bullet$ printing part for input data $\bullet$ printing part for the results $\bullet$ printing part for the graphic(probability paper). And the running results(monitor displays) of the program for a fictitious example of Weibull distribution is given for the interested ones.

  • PDF

상관함수 기반 굴삭기용 과부하 검출 기법 (An Overload Detecting Method for an Excavator Based on the Correlation Function)

  • 유창호;고남곤;최재원;서영봉
    • 제어로봇시스템학회논문지
    • /
    • 제16권7호
    • /
    • pp.703-710
    • /
    • 2010
  • In this paper, an overload detecting algorithm for an excavator is presented. The proposed overload detecting algorithm is based on the time series analysis especially correlation function. The main purpose of this paper is to prevent damage or crack from the fatigue loaded on an excavator in advance. Generally, the larger data, the longer processing time, and the amount of the data used in this paper are also large, especially every sampling period, 1600 data are gathered and calculated. So this paper focuses on minimizing the number of required sensors by using the correlation function. From the cross correlation function, similar pattern sensors are eliminated and dissimilar pattern sensors are considered, and from the auto correlation function, the overload can be detected. To prove the efficiency of the proposed overload detecting algorithm, this paper shows the computer simulation results.