• 제목/요약/키워드: national statistical system

검색결과 1,557건 처리시간 0.03초

Gametogenic Cycle and the Number of Spawning Seasons by Quantitative Reproductive Analysis in Female Ruditapes philippinarum in Western Korea

  • Chung, Ee-Yung;Lee, Chang-Hoon;Choi, Ki-Ho;Choi, Moon-Sul;Lee, Ki-Young
    • 한국패류학회지
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    • 제26권3호
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    • pp.245-254
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    • 2010
  • For the studies of germ cell development and maturation in the ovary, the gametogenic cycle and the number of spawning seasons per year in female Ruditapes philippinarum were investigated by quantitative statistical analysis using an Image Analyzer System. Compared with the results by qualitative and quantitative analyses, monthly variations in female gonad indice by qualitative histological analysis showed a pattern similar to that of the female gametogenic cycle calculated by quantitative statistical analysis. The number of spawning seasons occurred once per year, from June to October. In quantitative statistical analysis using an image analyzer system, monthly changes in the portions (%) of the ovary area to total tissue areas in females increased in March and reached a maximum in May, and then showed a rapid decrease from June to October when spawning occurred. And also monthly changes in portions (%) of follicle areas to the ovary area and in portions of oocyte areas to ovarian tissue areas in females began to increase in March and reached a maximum in May, and then. rapidly dropped from June to October when spawnig occurred. From these data, it is apparent that the number of spawning seasons occurred once per year, from June to October. Monthly changes in the number of the oocyte per $mm^2$ and in mean diameter of the oocyte in captured image which were calculated for each female slide showed a maximum in May and reached the minimum from December to February. Therefore, female R. philippinarum showed a unimodal gametogenic cycle during the year.

Developing a Web-based System for Computing Pre-Harvest Residue Limits (PHRLs)

  • Chang, Han Sub;Bae, Hey Ree;Son, Young Bae;Song, In Ho;Lee, Cheol Ho;Choi, Nam Geun;Cho, Kyoung Kyu;Lee, Young Gu
    • Agribusiness and Information Management
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    • 제3권1호
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    • pp.11-22
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    • 2011
  • This study describes the development of a web-based system that collects all data generated in the research conducted to set pre-harvest residue limits (PHRLs) for agricultural product safety control. These data, including concentrations of pesticide residues, limit of detection, limit of quantitation, recoveries, weather charts, and growth rates, are incorporated into a database, a regression analysis of the data is performed using statistical techniques, and the PHRL for an agricultural product is automatically computed. The development and establishment of this system increased the efficiency and improved the reliability of the research in this area by standardizing the data and maintaining its accuracy without temporal or spatial limitations. The system permits automatic computation of the PHRL and a quick review of the goodness of fit of the regression model. By building and analyzing a database, it also allows data accumulated over the last 10 years to be utilized.

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Bayesian Statistical Modeling of System Energy Saving Effectiveness for MAC Protocols of Wireless Sensor Networks: The Case of Non-Informative Prior Knowledge

  • Kim, Myong-Hee;Park, Man-Gon
    • 한국멀티미디어학회논문지
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    • 제13권6호
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    • pp.890-900
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    • 2010
  • The Bayesian networks methods provide an efficient tool for performing information fusion and decision making under conditions of uncertainty. This paper proposes Bayes estimators for the system effectiveness in energy saving of the wireless sensor networks by use of the Bayesian method under the non-informative prior knowledge about means of active and sleep times based on time frames of sensor nodes in a wireless sensor network. And then, we conduct a case study on some Bayesian estimation models for the system energy saving effectiveness of a wireless sensor network, and evaluate and compare the performance of proposed Bayesian estimates of the system effectiveness in energy saving of the wireless sensor network. In the case study, we have recognized that the proposed Bayesian system energy saving effectiveness estimators are excellent to adapt in evaluation of energy efficiency using non-informative prior knowledge from previous experience with robustness according to given values of parameters.

Mahalanobis Taguchi System을 이용한 자동차 브레이크 성능 만족도를 고려한 설계조건 선정에 관한 연구 (Selecting Optimal Design Condition Based on Automobile Brake Feeling Using Mahalanobis Taguchi System)

  • 홍정의;권홍규
    • 산업경영시스템학회지
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    • 제30권1호
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    • pp.41-47
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    • 2007
  • Mahalanobis Taguchi-System (MTS) is a pattern information technology, which has been used in different diagnostic ap plications to make quantitative decisions by constructing a multivariate system using data analytic methods without any as sumption regarding statistical distribution. MTS performs Taguchi's fractional factorial design based on the Mahalanobis distance as a performance metric In this work, MTS used for analyzing automotive brake feeling system, which measured as a brake feel index (BFI) from 9 attributes. The automobile which has a good BFI score treated as a normal group for constructing Mahalanobis space. The results of this research show that two attributes (Pre load & Max deceleration) have a minus gain value and can be removed from further analysis. The difference of MD value between using all 9 attributes and just using significant attribute compared.

엔진에 대한 품질보증데이터의 비모수적 분석 사례연구 (Nonparametric Analysis of Warranty Data on Engine : Case Study)

  • 백재욱;조진남
    • 품질경영학회지
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    • 제34권1호
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    • pp.40-47
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    • 2006
  • Claim history data of rather long period were collected to assess reliability and warranty cost analyses. The data were appropriately organized to be used for further statistical analyses. For each critical component, nonparametric statistical method was applied to obtain reliability plot. Hazard plots of the components in a subsystem or system level were also obtained. Competing risk model was assumed to obtain the performance of the subsystem or system level.

A General Solution of the Integral Equation for Erlang Distribution

  • Lee Yoon Dong;Choi Hyemi;Lee Eun-kyung
    • Communications for Statistical Applications and Methods
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    • 제12권2호
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    • pp.435-442
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    • 2005
  • The mathematical properties of the sequentially operated systems are often described by integral equations. Reservoir system of a product and sequential probability ratio test (SPRT) are typical examples of sequentially operated systems. When the underlying random quantities follow Erlang distribution, a systematic method was developed to solve the integral equations. We extend the method to the cases having accrual functions of more general types. The solutions of the integral equations are represented as a linear combination of distribution functions, and the coefficients of the linear combination are obtained by solving linear system derived from the continuity condition of the solutions.

Two Priority Class Polling Systems with Batch Poisson Arrivals

  • Ryu, Won;Kim, Dae-Ung;Lee, Bok-Lai;Park, Byeong-U;Chung, Jin-Wook
    • Communications for Statistical Applications and Methods
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    • 제6권3호
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    • pp.881-892
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    • 1999
  • In this paper we consider a polling system with two classes of stations; high priority and low priority. High priority stations are polled more frequently than low priority stations. We derive an exact and explicit formula for computing the mean waiting times for a message when the arrival processes are batch Poisson. In general the formula requires to solve two sets of simultaneous equations By specializing them to the case of two priority classes we greatly reduce the number equations and provide a simple formula for mean waiting times. We apply the results to a data communication processing system and show that the overall mean waiting time can be reduced by using priority polling.

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A Bayesian Inference for Power Law Process with a Single Change Point

  • Kim, Kiwoong;Inkwon Yeo;Sinsup Cho;Kim, Jae-Joo
    • International Journal of Quality Innovation
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    • 제5권1호
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    • pp.1-9
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    • 2004
  • The nonhomogeneous poisson process (NHPP) is often used to model repairable systems that are subject to a minimal repair strategy, with negligible repair times. In this situation, the system can be characterized by its intensity function. There have been many NHPP models according to intensity functions. However, the intensity function of system in use can be changed because of repair or its aging. We consider the single change point model as the modification of the power law process. The shape parameter of its intensity function is changed before and after the change point. We detect the presence of the change point using Bayesian methodology. Some numerical results are also presented.

A Study on the Revision Process Improvement Plan through the Analysis of the Current Status of the Academic Standard Classification System and Issues

  • Younghee Noh;Jeong-Mo Yang;Ji Hei Kang;Yong Hwan Kim;Jongwook Lee;Woojung Kwak
    • International Journal of Knowledge Content Development & Technology
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    • 제13권1호
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    • pp.111-130
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    • 2023
  • There are the national science and technology standard classification system used in Korea, the classification according to the standard classification system for educational organization units, and the Korean standard education classification by the National Statistical Office. It is not suitable for calculation or evaluation, and classification is still mixed depending on the purpose of use. Therefore, in this study, the current status of academic standard classification, issues related to the standard classification system such as research foundation associations and research institutes, and issues related to the academic standard classification through the analysis of existing prior research issues, etc. As a result of the research, first, it is necessary to maintain and strengthen the linkage of the academic classification system, such as maintaining the linkage between the relevant departmental classification systems and strengthening the linkage with the relevant classification system, as a result of analysis of major issues in the academic standard classification system, and the systematic improvement cycle of the revision process and management system and settings are required.

An Analysis of Long-term Changes in Water Quality of Geumho River using Statistical Techniques

  • Jung, Kang-Young;Cho, Sohyun;Ha, Don-woo;Kang, Tae-woo;Lee, Yeong Jae;Han, Kun-Yeun;Kim, Kyunghyun
    • 한국환경과학회지
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    • 제27권10호
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    • pp.883-899
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    • 2018
  • In this study, water quality data of eight main sites in the Geumho River watershed were collected and analyzed for long-term changes in water quality over the period from 2005 to 2015. The results showed that BOD concentration was gradually improved by the Total Maximum Daily Load (TMDL), stages 1 and 2. Recently, a tendency of increasing BOD concentration was observed in the downstream section of the river. The concentration of COD was analyzed to be contaminated throughout the water system regardless of the water quality improvement project, and the TN concentration tended to increase in the midstream of the river from 2013. The TP concentration has clearly decreased from 2012 after the second stage of TMDL. For the statistical analysis of PCA ordination, monthly water qualities (pH, DO, Electrical Conductivity (EC), Water Temperature (WT), BOD, COD, TN, TP, TOC, and SS) and flow rate data for 5 years from 2012 to 2016 were used. Seasonally the Geumho River showed an increase in the TN concentration at point sources during the dry season (December to February). TP showed the effect of non-point sources in the summer, because rainfall has caused a rise in flow rate in the upstream. Besides, the origin of pollution source was changed from non-point sources with BOD, COD, and TOC.