• Title/Summary/Keyword: Valid Data

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A Note on Relationship between T-sum and T-product on LR Fuzzy Numbers

  • Hong, Dug-Hun;Kim, Kyung-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.1141-1145
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    • 2005
  • In this note, we show that Theorem 2.1[Kybernetika, 28(1992) 45-49], a result of a functional relationship between the membership function of LR fuzzy numbers of T-sum and T-product, remains valid for convex additive generator and concave shape functions L and R with simple proof. We also consider the case for 0-symmetric R fuzzy numbers.

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A new type of saturated vapor density correlation for refrigerants (냉매에 대한 새로운 유형의 포화증기밀도 상관식)

  • 박경근
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.10 no.5
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    • pp.550-557
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    • 1998
  • The saturated vapor density correlation proposed here relates logarithmic density to the inverse of temperature. Its performance is examined correlating the date listed in the ASHTAE tables for 40 refrigerants. The correlation equation is valid over the entire range where data point exist and gives better results than a conventional equation with the same number of adjustable coefficients. Number of terms in the equation is a variable so that great flexibility can be given to the representation of data.

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A STUDY ON THE RE-QUANTIZATION METHOD FOR PREVENTING DISTORTION OF CORRELATION RESULT (상관결과의 왜곡 방지를 위한 재양자화 방법에 관한 연구)

  • Yeom, Jae-Hwan;Oh, Se-Jin;Roh, Duk-Gyoo;Oh, Chung-Sik;Jung, Jin-Seung;Chung, Dong-Kyu;Oyama, Tomoaki;Kawaguchi, Noriyuki;Kobayashi, Hideyuki;Kawakami, Kazuyuki;Onuki, Hirofumi;Ozeki, Kensuke
    • Publications of The Korean Astronomical Society
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    • v.27 no.5
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    • pp.419-429
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    • 2012
  • In this paper, we propose a new re-quantization method after FFT processing to prevent the distortion of correlation result of VCS (VLBI Correlation Subsystem). The re-quantization is used to rearrange the data bit so as to reduce the data rate processed as 16-bit of FFT result of VCS. Having done this procedure, we found that the distorted spectrum of correlation result occurred in the delay tracking experiments by the re-quantization method introduced for initial design of VCS. In order to solve this, two kinds of re-quantization method, that is, the comparison and selection-type, are proposed. The first is to re-quantize the FFT result as a valid-bit by comparing with the input data after determining the adequate threshold. The second is manually to select the valid-bit of FFT result after finding the valid-field of data according to the bit-distribution of input data. We confirmed that the second is more effective compared with the first through the experimental result, and it will be implemented without so much modification of applied method in the condition of the limited resource of FPGA. The re-quantization is, however, carried out with 4-bit in the proposed second method for FFT result, and then the distortion of correlation result is also appeared. To fix this problem, the bit for re-quantization is extended to 8-bit. The proposed 8-bit selection-type is effectively verified so that the distortion of correlation result disappeared by applying to VCS in consequence of the simulation and correlation experiments.

Study on Mutual Relation Between the User Benefit and the User's Characteristics in the Children's Library (어린이도서관의 이용자편익과 이용자특성간의 상호관계에 관한 연구)

  • Kang, Mi-Hee;Hong, Hyun-Jin
    • Journal of Korean Library and Information Science Society
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    • v.43 no.1
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    • pp.261-285
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    • 2012
  • The purpose of this study is to confirm that the user benefit criteria can be applied as the user benefit criteria of children's libraries by examining the theoretical validity of the user benefit criteria and furthermore, by clarifying and verifying the mutual relation between the user benefit criteria and the child development area. For such a purpose, this study collected data from 247 users of children's libraries in the country and collected data was analyzed using the structural equation modeling. The result of analysis is as follows. First, the relation between physical development and behavioral facilitation, emotional development and physiological maintenance, cognitive development and perceptual maintenance, and the development of social skills and social facilitation was appropriate. Second, usability, safety and diversity was valid as an index of behavioral facilitation, self-esteem, amenity and peacefulness was valid as an index of physiological maintenance, esthetic sense, dynamics and flexibility was valid as an index of perceptual maintenance, and leisure, communication and territoriality was valid as an index of social facilitation. Third, children who prefer physical development prefer the benefit of behavioral facilitation, children who prefer emotional development prefer the benefit of physiological maintenance, children who prefer cognitive development prefer the benefit of perceptual maintenance and children who prefer the development of social skills prefer the benefit of social facilitation.

What is the Most Suitable Time Period to Assess the Time Trends in Cancer Incidence Rates to Make Valid Predictions - an Empirical Approach

  • Ramnath, Takiar;Shah, Varsha Premchandbhai;Krishnan, Sathish Kumar
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3097-3100
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    • 2015
  • Projections of cancer cases are particularly useful in developing countries to plan and prioritize both diagnostic and treatment facilities. In the prediction of cancer cases for the future period say after 5 years or after 10 years, it is imperative to use the knowledge of past time trends in incidence rates as well as in population at risk. In most of the recently published studies the duration for which the time trend was assessed was more than 10 years while in few studies the duration was between 5-7 years. This raises the question as to what is the optimum time period which should be used for assessment of time trends and projections. Thus, the present paper explores the suitability of different time periods to predict the future rates so that the valid projections of cancer burden can be done for India. The cancer incidence data of selected cancer sites of Bangalore, Bhopal, Chennai, Delhi and Mumbai PBCR for the period of 1991-2009 was utilized. The three time periods were selected namely 1991-2005; 1996-2005, 1999-2005 to assess the time trends and projections. For the five selected sites, each for males and females and for each registry, the time trend was assessed and the linear regression equation was obtained to give prediction for the years 2006, 2007, 2008 and 2009. These predictions were compared with actual incidence data. The time period giving the least error in prediction was adjudged as the best. The result of the current analysis suggested that for projections of cancer cases, the 10 years duration data are most appropriate as compared to 7 year or 15 year incidence data.

Development of Eye Tracker System for Early Childhood (유아용 시선 추적 장치의 개발 연구)

  • Lee, Byungho
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.91-98
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    • 2019
  • The purpose of this study was to develop and test an eye tracker focusing on early childhood participants, based on the characteristics of early childhood eye tracking studies. Eye tracking collects eye movement data of the subject, which provides scientific evidence of human cognition and thinking. The researcher built a Do It Yourself eye tracker camera module from general electronic components, and used Viewpoint analysis software from Arrington Research. The researcher compared the eye tracking data between the DIY eye tracker group and Tobii Pro eye tracker group, which provides a professional eye tracking system. Eye tracking data was collected from 52 five-year old children. The average proportion of valid trials between the two groups was compared with t test, and no significant difference was found. This result indicates that the DIY eye tracker can be used to collect valid eye tracking data from young children under certain research environment.

An Introduction to Data Analysis (자료 분석의 기초)

  • Pak, Son-Il;Lee, Young-Won
    • Journal of Veterinary Clinics
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    • v.26 no.3
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    • pp.189-199
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    • 2009
  • With the growing importance of evidence-based medicine, clinical or biomedical research relies critically on the validity and reliability of data, and the subsequent statistical inferences for medical decision-making may lead to valid conclusion. Despite widespread use of analytical techniques in papers published in the Journal of Veterinary Clinics statistical errors particularly in design of experiments, research methodology or data analysis methods are commonly encountered. These flaws often leading to misinterpretation of the data, thereby, subjected to inappropriate conclusions. This article is the first in a series of nontechnical introduction designed not to systemic review of medical statistics but intended to provide the journal readers with an understanding of common statistical concepts, including data scale, selection of appropriate statistical methods, descriptive statistics, data transformation, confidence interval, the principles of hypothesis testing, sampling distribution, and interpretation of results.

Discrimination model using denoising autoencoder-based majority vote classification for reducing false alarm rate

  • Heonyong Lee;Kyungtak Yu;Shiu Kim
    • Nuclear Engineering and Technology
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    • v.55 no.10
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    • pp.3716-3724
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    • 2023
  • Loose parts monitoring and detecting alarm type in real Nuclear Power Plant have challenges such as background noise, insufficient alarm data, and difficulty of distinction between alarm data that occur during start and stop. Although many signal processing methods and alarm determination algorithms have been developed, it is not easy to determine valid alarm and extract the meaning data from alarm signal including background noise. To address these issues, this paper proposes a denoising autoencoder-based majority vote classification. Training and test data are prepared by acquiring alarm data from real NPP and simulation facility for data augmentation, and noisy data is reproduced by adding Gaussian noise. Using DAEs with 3, 5, 7, and 9 layers, features are extracted for each model and classified into neural networks. Finally, the results obtained from each DAE are classified by majority voting. Also, through comparison with other methods, the accuracy and the false alarm rate are compared, and the excellence of the proposed method is confirmed.

A Big-Data Trajectory Combination Method for Navigations using Collected Trajectory Data (수집된 경로데이터를 사용하는 내비게이션을 위한 대용량 경로조합 방법)

  • Koo, Kwang Min;Lee, Taeho;Park, Heemin
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.386-395
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    • 2016
  • In trajectory-based navigation systems, a huge amount of trajectory data is needed for efficient route explorations. However, it would be very hard to collect trajectories from all the possible start and destination combinations. To provide a practical solution to this problem, we suggest a method combining collected GPS trajectories data into additional generated trajectories with new start and destination combinations without road information. We present a trajectory combination algorithm and its implementation with Scala programming language on Spark platform for big data processing. The experimental results proved that the proposed method can effectively populate the collected trajectories into valid trajectory paths more than three hundred times.

Variance Estimation for Imputed Survey Data using Balanced Repeated Replication Method

  • Lee, Jun-Suk;Hong, Tae-Kyong;Namkung, Pyong
    • Communications for Statistical Applications and Methods
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    • v.12 no.2
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    • pp.365-379
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    • 2005
  • Balanced Repeated Replication(BRR) is widely used to estimate the variance of linear or nonlinear estimators from complex sampling surveys. Most of survey data sets include imputed missing values and treat the imputed values as observed data. But applying the standard BRR variance estimation formula for imputed data does not produce valid variance estimators. Shao, Chen and Chen(1998) proposed an adjusted BRR method by adjusting the imputed data to produce more accurate variance estimators. In this paper, another adjusted BRR method is proposed with examples of real data.