• Title/Summary/Keyword: Statistics quality assessment

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Statistics Quality Assessment and Improvement of Monitoring on Soil Quality (토양오염도 현황 통계의 품질 진단과 개선 방안)

  • Kim, Kee-Dae
    • Journal of Environmental Science International
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    • v.18 no.10
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    • pp.1079-1088
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    • 2009
  • The statistics of monitoring on soil quality is a report statistics which is made on the basis of Article 15, Environment Strategy Basic Law and Article 5, Soil Environment Conservation Law. This study was conducted according to quality assessment of Korea National Statistical Office. The assessment of quality infrastructure advised that the authority bring up and increase completely responsible officer and secure the budget. The assessment of user satisfaction and reflection of request propose that the statistics is focused on soil background concentration, decrease soil sampling points and extend survey period. The assessment of error management system per processes of detailed preparation suggest change of the statistics objective, a reduction of sampling points and improvement of survey period and soil measurement properties. Accuracy assessment of data proposed cuts of sampling points, accessibility increment and build up of management system linking subordinates and Ministry of Environment. The substantiality assessment of data service demonstrated information environment improvement for users including reference expression and records of statistics table and figure contents.

Developing the Quality Assessment Indicators for the National Processing Statistics of Korea

  • Kim, Soo-Taek;Jeong, Ki-Ho;Kim, Seol-Hee
    • Communications for Statistical Applications and Methods
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    • v.14 no.3
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    • pp.649-665
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    • 2007
  • The improvement of quality is a continuous process and one of the main objectives of the Statistical Strategy launched by the Korea National Statistical Office (KNSO) is the enhancement of the quality of Korea national statistics. In this paper, we define the processing statistic, classify the Korea national processing statistics, and develop the quality indicators and check list for assessing the national processing statistics of Korea. During its development, the indicators has been discussed with the processing statistic managers of the KNSO and the checklist tested in a pilot study covering a variety of processing statistic areas.

Development of Quality Assessment Indicators for Statistics Based on Administrative Records (보고통계 품질향상을 위한 품질평가지표 개발)

  • Kim Young-Won;Park Jin-Woo;Kim Sul-Hee;Park Eun-Young;Lee Kee-Jae
    • Survey Research
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    • v.7 no.1
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    • pp.85-107
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    • 2006
  • There has been growing interest in the quality of official statistics based on the administrative records. Such statistics take a large part in the official statistics in Korea, which are distinguished from survey statistics in aspects of data collection process. So we need specific quality management methods appropriate for official statistics based on the administrative records. This paper concerns improvement of the quality of official statistics. We first briefly review some of main issues facing the official statistics based on the administrative records in Korea and then provide quality assessment indicators for improving the quality of official statistics.

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No-reference quality assessment of dynamic sports videos based on a spatiotemporal motion model

  • Kim, Hyoung-Gook;Shin, Seung-Su;Kim, Sang-Wook;Lee, Gi Yong
    • ETRI Journal
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    • v.43 no.3
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    • pp.538-548
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    • 2021
  • This paper proposes an approach to improve the performance of no-reference video quality assessment for sports videos with dynamic motion scenes using an efficient spatiotemporal model. In the proposed method, we divide the video sequences into video blocks and apply a 3D shearlet transform that can efficiently extract primary spatiotemporal features to capture dynamic natural motion scene statistics from the incoming video blocks. The concatenation of a deep residual bidirectional gated recurrent neural network and logistic regression is used to learn the spatiotemporal correlation more robustly and predict the perceptual quality score. In addition, conditional video block-wise constraints are incorporated into the objective function to improve quality estimation performance for the entire video. The experimental results show that the proposed method extracts spatiotemporal motion information more effectively and predicts the video quality with higher accuracy than the conventional no-reference video quality assessment methods.

A Suggestion on Instruction Service Quality Assessment Tool (강의 서비스품질 측정도구 제안)

  • Choi Kyoung-Ho;Lee Seung-Joo
    • The Korean Journal of Applied Statistics
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    • v.18 no.2
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    • pp.487-497
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    • 2005
  • The instruction assessment, which can be a tool to realize a class of high quality, evaluates instruction system and process. The result data of the instruction assessment is analysed and used to reorganize lecture contents or to improve teaching method. It enhances qualitative level of university education. The goal of the instruction assessment is to be a tool that provides high qualitative education to raise students' satisfaction. It is important to improve education service quality through instruction assessment as a useful tool for measuring service quality. The suggestion of valid tool for improving instruction service quality is described in this paper.

Statistics Quality Assessment and Improvement of Small & Medium Enterprises Survey (중소기업실태조사의 품질진단과 개선에 관한 연구)

  • Kim, Moon Sun;Chun, Sae Rom;Nam, Kyung H.
    • Journal of Korean Society for Quality Management
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    • v.40 no.4
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    • pp.577-588
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    • 2012
  • Purpose: This paper aims to evaluate the quality of Small & Medium Enterprises(SMEs) Survey and to provide some desirable directions and improvements for the future SMEs Survey, conducted by the Government. Methods: The diagnosis were performed by employing the quantitative and qualitative approaches with the official guideline provided by the Ministry of Statistics. Results: Results show that follow-up management are evaluated relatively low in specific processes, and timeliness are evaluated relatively lower than accuracy, accessibility, relevance, comparability and consistency in statistical qualities. Conclusion: we propose the alternatives which enhance the quality level of SMEs by using the 6 tools of Quality Management for Statistics.

A Systematic Approach to Quality Measurement of Official Statistics) (국가통계 품질측정을 위한 체계적 접근 - 표본조사의 품질평가지표 개발을 중심으로)

  • 이동명;김설희
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2002.11a
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    • pp.111-127
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    • 2002
  • As the utilization of official statistics has been recently increased, the necessity of objective quality assessment also has been increased. Since mean square error(MSE) and response rate, which have been considered as representative quality indicators in the past, may have the limits of use, it has been demanded to develop new quality indicators which are able to reflect the various requirements of users. In this paper, regarding sample surveys conducted by governmental agencies, the flow of procedures in statistics production is analyzed using input-output of each procedure. As the result, how to identify and develop quality indicators for each procedure is discussed, with some instances of indicators. Finally, the quality index using the results of quality assessment would be calculated based on a weighting method by the size of deviation of statistical measures.

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A Note on the Use of Peer Assessment to Improve Pupil's Performance

  • Lee, Kyung-Koo;Mun, Gil-Seong;Ahn, Jeong-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.443-450
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    • 2008
  • Peer assessment is the process of assessment of students by other students and one form of innovative assessment. It actively involves students in the assessment process and is generally agreed that such involvement enhances the quality and effectiveness of the learning process, since assessing something and benchmarking process is a powerful aid to mastering it themselves. It is more effective on the hard courses for them to understand. In this article we present a peer assessment technique which was applied to students enrolled in a mathematical statistics course and a historical course. In order to measure the effectiveness of the technique, students had to evaluate their colleagues based on predefined criteria and a comparison is presented between the instructor assessments and the peer assessment.

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No-Reference Sports Video-Quality Assessment Using 3D Shearlet Transform and Deep Residual Neural Network (3차원 쉐어렛 변환과 심층 잔류 신경망을 이용한 무참조 스포츠 비디오 화질 평가)

  • Lee, Gi Yong;Shin, Seung-Su;Kim, Hyoung-Gook
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1447-1453
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    • 2020
  • In this paper, we propose a method for no-reference quality assessment of sports videos using 3D shearlet transform and deep residual neural networks. In the proposed method, 3D shearlet transform-based spatiotemporal features are extracted from the overlapped video blocks and applied to logistic regression concatenated with a deep residual neural network based on a conditional video block-wise constraint to learn the spatiotemporal correlation and predict the quality score. Our evaluation reveals that the proposed method predicts the video quality with higher accuracy than the conventional no-reference video quality assessment methods.

Digital Video Quality Assessment using the Statistics of Boundary Strength of H.264/AVC (H.264/AVC의 경계 세기 통계를 이용한 디지털 비디오에서의 객관적 화질 측정)

  • Jung, Kwang-Su;Lee, Seon-Oh;Sim, Dong-Gyu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.3
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    • pp.64-73
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    • 2008
  • In this paper, we propose a novel objective video quality assessment method from encoded H.264/AVC.. Conventional algorithms have been proposed to assess video/image quality with image frames reconstructed in a decoder side. On the other hand, the proposed assessment is conducted with the syntax elements which are embedded in a bitstream. The proposed BS-based algorithm makes use of the statistics of boundary strength(BS) which are employed in the H.264/AVC. The proposed algorithm has lower computational complexity than conventional methods, EPSNR and Blockiness, resulting that it can accomplish assessment of the video quality in real time. Furthermore, the accuracy of the proposed video quality assessment is about 32% and 65% better than several conventional algorithms.