• Title/Summary/Keyword: archived data

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Investigation of Service Item for Archived VDS Data User Services: Focused on Expressway (차량검지기 이력자료 이용자서비스 도입을 위한 서비스 아이템 선정(고속도로를 중심으로))

  • Kim, Han-Soo;Baek, Seung-Kirl;NamKoong, Seong;Shin, Seung-Jin;Park, Dong-Joo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.6 no.2
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    • pp.1-14
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    • 2007
  • The purpose of this research is to investigate service item to develop archived VDS(Vehicle Detecting System) data user services. Through the review of related studies and literature and investigation of the current application status of the vehicle detector data, the service item from the historical detector data were identified. The relative importance of the identified service item was measured based on the application purpose, usage and frequency of application.

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Comparison of Parametric and Bootstrap Method in Bioequivalence Test

  • Ahn, Byung-Jin;Yim, Dong-Seok
    • The Korean Journal of Physiology and Pharmacology
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    • v.13 no.5
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    • pp.367-371
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    • 2009
  • The estimation of 90% parametric confidence intervals (CIs) of mean AUC and Cmax ratios in bioequivalence (BE) tests are based upon the assumption that formulation effects in log-transformed data are normally distributed. To compare the parametric CIs with those obtained from nonparametric methods we performed repeated estimation of bootstrap-resampled datasets. The AUC and Cmax values from 3 archived datasets were used. BE tests on 1,000 resampled data sets from each archived dataset were performed using SAS (Enterprise Guide Ver.3). Bootstrap nonparametric 90% CIs of formulation effects were then compared with the parametric 90% CIs of the original datasets. The 90% CIs of formulation effects estimated from the 3 archived datasets were slightly different from nonparametric 90% CIs obtained from BE tests on resampled datasets. Histograms and density curves of formulation effects obtained from resampled datasets were similar to those of normal distribution. However, in 2 of 3 resampled log (AUC) datasets, the estimates of formulation effects did not follow the Gaussian distribution. Bias-corrected and accelerated (BCa) CIs, one of the nonparametric CIs of formulation effects, shifted outside the parametric 90% CIs of the archived datasets in these 2 non-normally distributed resampled log (AUC) datasets. Currently, the 80~125% rule based upon the parametric 90% CIs is widely accepted under the assumption of normally distributed formulation effects in log-transformed data. However, nonparametric CIs may be a better choice when data do not follow this assumption.

Improvement of A Preprocessing of Archived Traffic Data Collected by Expressway Vehicle Detection System (고속도로 차량검지기 이력자료 활용을 위한 전처리과정 개선)

  • Lee, Hwan-Pil;NamKoong, Seong;Kim, Soo-Hee;Kim, Jin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.1
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    • pp.15-27
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    • 2013
  • While the vehicle detector is collected from a variety of information was mainly used as a real-time data. Recently scheme of application for archived traffic data has become increasingly important. In this background, this research were conducted on the improvement of the preprocessing for archived traffic data application. The purpose of improving specific preprocessing was reflect transportation phenomena by traffic data. As evaluation result, improvement preprocessing was close to the actual value than exist preprocessing.

Design of methodology for management of a large volume of historical archived traffic data (대용량 과거 교통 이력데이터 관리를 위한 방법론 설계)

  • Woo, Chan Il;Jeon, Se Gil
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.2
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    • pp.19-27
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    • 2010
  • Historical archived traffic data management system enables a long term time-series analysis and provides data necessary to acquire the constantly changing traffic conditions and to evaluate and analyze various traffic related strategies and policies. Such features are provided by maintaining highly reliable traffic data through scientific and systematic management. Now, the management systems for massive traffic data have a several problems such as, the storing and management methods of a large volume of archive data. In this paper, we describe how to storing and management for the massive traffic data and, we propose methodology for logical and physical architecture, collecting and storing, database design and implementation, process design of massive traffic data.

A Study on the Prediction of Traffic Volume on Highway by the Reference Day of Archived Data (이력자료 참조일수에 따른 고속도로 교통량 예측에 관한 연구)

  • Lee, So-Yeon;Jung, So-Yeon
    • Journal of the Society of Disaster Information
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    • v.14 no.2
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    • pp.230-237
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    • 2018
  • Purpose: In Korea, traffic information is collected in real time as part of Intelligent Transportation System to enhance efficiency of road operation. However, traffic information based on real-time data is different from the traffic situation the driver will experience. Method: In this study, forecasts were made for future highway traffic by day and time period by adjusting the Archived data reference days to 3, 5 and 10 days based on existing traffic Archived data. Results: Fewer days of reference in the past showed smaller errors. The prediction of Monday based on five past histories showed greater errors than the 10 past histories, as the traffic flow on the sixth Monday of 2016 was somewhat different from the usual holiday. Conclution: This study shows that less of the reference days of the past history when estimating traffic volume, the more accurate the data of the traffic history of the event can be used on special days.

Study on Strategies for Improving Application of Archived Data: Focused on International and Domestic Journal Articles (아카이빙 데이터의 활용성 증진을 위한 전략연구: 국내외 학술논문을 중심으로)

  • Jung, Young-Im;Choi, Ho-Nam;Choi, Seon-Heui
    • Journal of the Korean Society for information Management
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    • v.27 no.1
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    • pp.185-206
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    • 2010
  • Since core scholarly journals have been digitalized, demands on the perpetual access and long-term preservation of subscribed digital information resources by libraries are increasing. Various institutions and organizations have performed the preservation activities of digital scholarly resources for the purpose of responding those demands. This paper illustrates the National Digital Archive(NDA) system proposed and developed by KISTI and discusses on the NDA strategies which aim to improve the usability of archived journal articles. In addition, NDA strategies of KISTI have been compared with those of international researches and the economic validity of NDA has been verified by analyzing NPV, BCR and IRR. Legal system for improving the application of the archived data should be studied next and high value-added data services have been suggested as our future studies in the final section.

IRB review points for studies utilizing paraffin blocks archived in the pathology laboratory

  • Kim, Yong-Jin;Jeong, Chang Rok;Park, Jeong Sik
    • Journal of Yeungnam Medical Science
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    • v.35 no.1
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    • pp.36-39
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    • 2018
  • In the personalized medicine era, utilizing paraffin blocks in pathology archives for investigating human diseases has come into the limelight. This archived material with clinical data will reduce the research time and could prevent new patient recruitment to obtain tissue for research. However, the clause indicating the necessity of consent from human material providers in the Korean Bioethics and Safety Act has made the Institutional Review Board (IRB) deny permission to use paraffin blocks for research without consent, and alternatively to get the same before starting an experiment. Written consent may be waived off in studies using paraffin blocks with anonymous status or conditions not linked to personal information by applying the paragraph 3, article 16 of the current Bioethics and Safety Act. Also, the IRB should recommend researchers to preserve the blocks as medical records of patients in long-term archives.