• Title/Summary/Keyword: Number of Errors

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An Analysis on the Repeated Error Patterns in Division of Fraction by Elementary Students (초등학생들이 분수의 나눗셈에서 보이는 반복적 오류 분석)

  • Kim, Kyung-Mi;Kang, Wan
    • Education of Primary School Mathematics
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    • v.11 no.1
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    • pp.1-19
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    • 2008
  • This study analyzed the repeated error patterns in division of fraction by elementary students through observation of their test papers. The questions for this study were following. First, what is the most changable thing among the repeated error patterns appeared in division of fraction by elementary students? Second, what is the most frequent error patterns in division of fraction by elementary students? First of all, the ratios of incorrect answers in division of fraction by general students were researched. This research was the only one time. The purpose was to know what kind of compositions in the problems were appeared more errors. Total 554 6th grade students(300 boys and 254 girls) from 6 elementary schools in Seoul are participated in this research. On the basis of this, the study for analysis began in earnest. 5 tests made progress for about 4 months. Total 181 6th grade students(92 boys and 89 girls) from S elementary school in Seoul were participated in this. After each test, to confirm the errors and to classify them were done. Then the repeated error patterns were arranged into 4 types: alpha, beta, gamma and delta type. Consequently, conclusions can be derived as follows. First, most students modify their errors as time goes by even though they make errors about already learned contents. Second, most students who appeared errors make them continually caused a reciprocal of natural number in the divisor when they calculate computations about '(fraction) $\div$ (natural number)'. Third, most students recognize that the divisor have to change the reciprocal when they calculate division of fraction through they modify their errors repeatedly.

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Different penalty methods for assessing interval from first to successful insemination in Japanese Black heifers

  • Setiaji, Asep;Oikawa, Takuro
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.9
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    • pp.1349-1354
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    • 2019
  • Objective: The objective of this study was to determine the best approach for handling missing records of first to successful insemination (FS) in Japanese Black heifers. Methods: Of a total of 2,367 records of heifers born between 2003 and 2015 used, 206 (8.7%) of open heifers were missing. Four penalty methods based on the number of inseminations were set as follows: C1, FS average according to the number of inseminations; C2, constant number of days, 359; C3, maximum number of FS days to each insemination; and C4, average of FS at the last insemination and FS of C2. C5 was generated by adding a constant number (21 d) to the highest number of FS days in each contemporary group. The bootstrap method was used to compare among the 5 methods in terms of bias, mean squared error (MSE) and coefficient of correlation between estimated breeding value (EBV) of non-censored data and censored data. Three percentages (5%, 10%, and 15%) were investigated using the random censoring scheme. The univariate animal model was used to conduct genetic analysis. Results: Heritability of FS in non-censored data was $0.012{\pm}0.016$, slightly lower than the average estimate from the five penalty methods. C1, C2, and C3 showed lower standard errors of estimated heritability but demonstrated inconsistent results for different percentages of missing records. C4 showed moderate standard errors but more stable ones for all percentages of the missing records, whereas C5 showed the highest standard errors compared with noncensored data. The MSE in C4 heritability was $0.633{\times}10^{-4}$, $0.879{\times}10^{-4}$, $0.876{\times}10^{-4}$ and $0.866{\times}10^{-4}$ for 5%, 8.7%, 10%, and 15%, respectively, of the missing records. Thus, C4 showed the lowest and the most stable MSE of heritability; the coefficient of correlation for EBV was 0.88; 0.93 and 0.90 for heifer, sire and dam, respectively. Conclusion: C4 demonstrated the highest positive correlation with the non-censored data set and was consistent within different percentages of the missing records. We concluded that C4 was the best penalty method for missing records due to the stable value of estimated parameters and the highest coefficient of correlation.

The Effect of a Computerized Pharmacist Communication Application-based SBAR Tool

  • Young Ju Cheon;Kyong Nam Ye;Jung Bo Kim;Jung Tae Kim;Sook Hee An
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.2
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    • pp.135-142
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    • 2023
  • Background: Pharmacists communicate with a variety of healthcare experts to prevent medication errors. Situation-Background-Assessment-Recommendation (SBAR) is a tool used for concise and accurate communication. In 2018, we developed the pharmacy-SBAR (P-SBAR) to deliver pharmacists intervention more quickly and effectively through quality improvement activities. Objectives: This study evaluates the efficacy of P-SBAR on pharmacists' intervention activities before and after the implementation of P-SBAR applications. We assessed the impact of P-SBAR on reducing the burden of intervention work, promoting pharmacists' participation, and enhancing the acceptance rate. Methods: This is a retrospective study of the two groups before and after P-SBAR implementation. All pharmacists' intervention records during two periods (2016-2017 and 2019-2020) were extracted from the data warehouse system at Kyunghee University Hospital at Gangdong, Seoul. The outcome was the number of inpatients and pharmacists who participated in the prescription monitoring activity, the number of interventions, and the physicians' acceptance rate. Results: Although the total number of inpatients decreased (364,753 vs. 348,229), the number of pharmacists who participated in intervention activity increased (monthly mean: 15.8 vs. 18.0, p=0.001). The total number of interventions (2,767 vs. 4,389), the frequency of full acceptance (2,018 vs. 3,710), and the monthly acceptance rate increased significantly (73.8% vs. 83.8%, p<0.001). Conclusion: P-SBAR improved accessibility and convenience by digitalizing the intervention activities performed in an offline environment. Improvement in work burden and acceptance rate using P-SBAR is expected to contribute toward reducing medication errors.

A Study on the Extraction of the Preferable Luminance Distribution in VDT Workspaces (VDT작업공간의 적정휘도분포 추출에 관한 연구)

  • 정진현;이진숙
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.9 no.3
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    • pp.59-66
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    • 1995
  • In this study through a series of the experiments, 1) the preferable luminance values of the CRT screens, 2) the preferable luminance ratios between the CRT screens and its surrounding surfaces are determined. The results are evaluated by the level of satisfaction, and re-examined by the work performance (number of types, rate of errors) and the level of eye fatique (number of blinks, near point distance)

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Estimation on Exponential Model with Limited Replacements

  • Cho, Kil-Ho;Cho, Jang-Sik;Jeong, Seong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.2
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    • pp.457-465
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    • 2005
  • We consider the estimation of parameter in the exponential model in the case that the number of replacements of failed items is limited. And the desirable number of replacements to give the similar effect as unlimited case in terms of the mean square errors is proposed.

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Detecting Spelling Errors by Comparison of Words within a Document (문서내 단어간 비교를 통한 철자오류 검출)

  • Kim, Dong-Joo
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.83-92
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    • 2011
  • Typographical errors by the author's mistyping occur frequently in a document being prepared with word processors contrary to usual publications. Preparing this online document, the most common orthographical errors are spelling errors resulting from incorrectly typing intent keys to near keys on keyboard. Typical spelling checkers detect and correct these errors by using morphological analyzer. In other words, the morphological analysis module of a speller tries to check well-formedness of input words, and then all words rejected by the analyzer are regarded as misspelled words. However, if morphological analyzer accepts even mistyped words, it treats them as correctly spelled words. In this paper, I propose a simple method capable of detecting and correcting errors that the previous methods can not detect. Proposed method is based on the characteristics that typographical errors are generally not repeated and so tend to have very low frequency. If words generated by operations of deletion, exchange, and transposition for each phoneme of a low frequency word are in the list of high frequency words, some of them are considered as correctly spelled words. Some heuristic rules are also presented to reduce the number of candidates. Proposed method is able to detect not syntactic errors but some semantic errors, and useful to scoring candidates.

Measurements of Vertical Profiles in Suspended-Load Concentration Using the ASM-IV (ASM-IV를 이용한 부유사농도 연직분포의 측정)

  • Lee, Jong-Seok;Myeng, Bong-Jae;Cha, Young-Kee
    • Journal of the Korean Society of Hazard Mitigation
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    • v.6 no.1 s.20
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    • pp.83-95
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    • 2006
  • This study aims to analysis of suspended-load concentration in related to those data by measuring vertical sediments distribution with rainfall using the ASM (Argus Surface Meter)- IV at the channel reach of a upstream and a downstream in small river. The watershed, small river basin where had taken for experimental study was selected, which is a drainage area lied at Walha in Yunkee-Gun, Chungnam Province. Measured data of suspended-load concentration consists of two groups with 2,145 data during 1hr 11min 30sec and 1,216 data during 40min 32sec for measuring time of 2 second in the study reaches at river, respectively. In order to analyze of the vertical concentration distribution, using the data sets are selected the measuring time 16 sets one of these data by random in the study reaches. As a results, the Rouse number of a measured and a calculated value show that a rang of $0.00129{\sim}0.02394$, averaged value of 0.01129 md, a rang of $0.00118{\sim}0.00822$, averaged value of 0.00436 in upstream reaches, and also a rang of $0.065115{\sim}0.065295$, averaged value of 0.06521, and a rang of $0.057315{\sim}0.059109$, averaged value of 0.05795 in downstream reaches, respectively. These difference show that measured Rouse number compared with downstream reach errors of less than in upstream reach, but between measured and calculated of the Rouse number compared with downstream reach errors of more than in upstream reach, respectively. It seems to will be included one of the occurrence errors of variable estimations when Rouse number of calculated value to be made computed by the fall velocity with a high temperature of water using equation of empirical kinematic viscosity was derived in this study.

A Neural Network Based on Stochastic Computation using the Ratio of the Number of Ones and Zeros in the Pulse Stream (펄스열에서 1인 펄스수와 0인 펄스수의 비를 이용하여 확률연산을 하는 신경회로망)

  • 민승재;채수익
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.7
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    • pp.211-218
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    • 1994
  • Stochastic computation employs random pulse streams to represent numbers. In this paper, we study a new method to implement the number system which uses the ratio of the numbers of ones and zeros in the pulse streams. In this number system. if P is the probability that a pulse is one in a pulse stream then the number X represented by the pulse stream is defined as P/(1-P). We propose circuits to implement the basic operations such as addition multiplication and sigmoid function with this number system and examine the error characteristics of such operations in stochastic computation. We also propose a neuron model and derive a learning algorithm based on backpropagation for the 3-layered feedforward neural networks. We apply this learning algorithm to a digit recognition problem. To analyze the results, we discuss the errors due to the variance of the random pulse streams and the quantization noise of finite length register.

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Intelligent System Predictor using Virtual Neural Predictive Model

  • 박상민
    • Proceedings of the Korea Society for Simulation Conference
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    • 1998.03a
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    • pp.101-105
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    • 1998
  • A large system predictor, which can perform prediction of sales trend in a huge number of distribution centers, is presented using neural predictive model. There are 20,000 number of distribution centers, and each distribution center need to forecast future demand in order to establish a reasonable inventory policy. Therefore, the number of forecasting models corresponds to the number of distribution centers, which is not possible to estimate that kind of huge number of accurate models in ERP (Enterprise Resource Planning)module. Multilayer neural net as universal approximation is employed for fitting the prediction model. In order to improve prediction accuracy, a sequential simulation procedure is performed to get appropriate network structure and also to improve forecasting accuracy. The proposed simulation procedure includes neural structure identification and virtual predictive model generation. The predictive model generation consists of generating virtual signals and estimating predictive model. The virtual predictive model plays a key role in tuning the real model by absorbing the real model errors. The complement approach, based on real and virtual model, could forecast the future demands of various distribution centers.

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Realization of Acoustic Scattering Holography (산란 음향 홀로그래피의 구현 방법론)

  • 김양한
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.11
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    • pp.1101-1106
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    • 2004
  • There are many difficulties to get the scattered field generated by obstacle which has arbitrary shape or irregular surface impedance by using analytic solution or numerical methods. In this study, we propose a method of which makes acoustic scattering holography that can predict the far-field scattered field based on nearfield measurements. This method provides the scattered fields of each wave-number components of incident fields. We express the relationship of wave-number components between incident fields and scattered fields using scattering matrix which is transfer matrix of wave-number components. Lastly, we prove the relation between wave-number components of incident and scattered field by experiments. The errors which are caused by measurements and decomposition methods are also analyzed.