• Title/Summary/Keyword: real value

Search Result 3,372, Processing Time 0.029 seconds

Study on the Enumeration of Legionella in Environmental Water Samples Using Real-time PCR (Real-time PCR을 이용한 환경 중 물 시료의 레지오넬라 분석법 연구)

  • Lee, Jung-Hee;Park, Myoung-Ki;Kim, Yun-Sung;Yun, Hee-Jeong;Lee, Chang-Hee;Jeong, Ah-Yong;Yoon, Mi-Hye
    • Journal of Environmental Health Sciences
    • /
    • v.45 no.5
    • /
    • pp.511-519
    • /
    • 2019

  • Objectives: The standard method for the enumeration of environmental Legionella is culturing, which has several disadvantages, including long incubation and poor sensitivity. The purpose of this study is to demonstrate the usefulness of real-time PCR and to improve the standard method. Methods: In 200 environmental water samples, a real-time PCR and culture were conducted to detect and quantify Legionella. Using with the results of the survey, we compared the real-time PCR with the culture. Results: Each real-time PCR assay had 100% specificity and excellent sensitivity (5 GU/reaction). In the culture, 36 samples were positive and 164 samples were negative. Based on the results of the culture, real-time PCR showed a high negative predictive value of 99%, 35 samples were true positive, 105 samples were true negative, 59 samples were false positive and one sample was a false negative. Quantitative analysis of the two methods indicated a weak linear correlation ($r^2=0.29$, $r^2=0.61$, respectively). Conclusions: Although it is difficult to directly apply quantitative analysis results of real-time PCR in the enumeration of environmental Legionella, it can be used as a complementary means of culturing to rapidly screen negative samples and to improve the accuracy of diagnosis.

  • https://doi.org/10.5668/JEHS.2019.45.5.511 인용 PDF KSCI

AdaBoost-based Real-Time Face Detection & Tracking System (AdaBoost 기반의 실시간 고속 얼굴검출 및 추적시스템의 개발)

  • Kim, Jeong-Hyun;Kim, Jin-Young;Hong, Young-Jin;Kwon, Jang-Woo;Kang, Dong-Joong;Lho, Tae-Jung
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.13 no.11
    • /
    • pp.1074-1081
    • /
    • 2007

  • This paper presents a method for real-time face detection and tracking which combined Adaboost and Camshift algorithm. Adaboost algorithm is a method which selects an important feature called weak classifier among many possible image features by tuning weight of each feature from learning candidates. Even though excellent performance extracting the object, computing time of the algorithm is very high with window size of multi-scale to search image region. So direct application of the method is not easy for real-time tasks such as multi-task OS, robot, and mobile environment. But CAMshift method is an improvement of Mean-shift algorithm for the video streaming environment and track the interesting object at high speed based on hue value of the target region. The detection efficiency of the method is not good for environment of dynamic illumination. We propose a combined method of Adaboost and CAMshift to improve the computing speed with good face detection performance. The method was proved for real image sequences including single and more faces.

  • https://doi.org/10.5302/J.ICROS.2007.13.11.1074 인용 PDF KSCI

Adaptive Learning Control of Neural Network Using Real-Time Evolutionary Algorithm (실시간 진화 알고리듬을 통한 신경망의 적응 학습제어)

  • Chang, Sung-Ouk;Lee, Jin-Kul
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.26 no.6
    • /
    • pp.1092-1098
    • /
    • 2002

  • This paper discusses the composition of the theory of reinforcement teaming, which is applied in real-time teaming, and evolutionary strategy, which proves its the superiority in the finding of the optimal solution at the off-line teaming method. The individuals are reduced in order to team the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It is possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because of the teaming process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes. In the future, studies are needed on the proof of the theory through experiments and the characteristic considerations of the robustness against the outside disturbances.

  • https://doi.org/10.3795/KSME-A.2002.26.6.1092 인용 PDF KSCI

Effects of Real Name Using on SNS User's Behavior and Continuous Use Intention (실명사용 SNS 사용자의 행태와 지속이용 의도의 영향)

  • Hwang, YeonHee;Kim, YoungBerm;Lee, SangHo
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.25 no.3
    • /
    • pp.83-97
    • /
    • 2020

  • Unlike the feature of SNS, which strengthens two-way communication and promotes interaction through consistent on/off line identity management, passive use of Facebook to unilaterally accept other people's opinions is being strengthened, and more people tend to use Facebook anonymously or pseudonym to enjoy freedom of expression. To illustrate this transformative use behavior, this study suggests an integrated model including psychological and behavioral variables such as self-esteem, real name use, and opinion expression to explore the effect on social relationship value perception and satisfaction. Studies have shown that self-esteem affects the use of real names and self-exposure, and that the satisfaction and sustainability of relationships have increased as real-name users expose more information about themselves.

  • https://doi.org/10.9723/jksiis.2020.25.3.083 인용 PDF KSCI

Financial Structures of Real Estate and the Factors Influencing on It by Subjective Financial Adequacy for Later Years among Middle & Old Aged Households (중.고령자 가계의 주관적 노후대비충분 여부에 따른 부동산 자산구조와 영향요인)

  • Jeong, Woon-Young;Lee, Hee-Sook
    • Journal of the Korean Home Economics Association
    • /
    • v.48 no.4
    • /
    • pp.1-12
    • /
    • 2010

  • The purpose of this study was to find the differences of financial structures of real estate and the factors influencing on it between two groups of subjective financial adequacy and non-adequacy for later years among middle & old aged households. The data were drawn from KREIS(Korean Retirement and Income Study) surveyed by National Pension Research Institute in 2007, and 3,889 couple households with householder's age over 50 were selected. Major findings were as following. First, only 19.3% of households answered that they had enough money for later years. And they had lower real estate-to-total assets ratio (.84) and lower residential house value-to-total assets ratio (.52) than the counter part. Second, for the group who answered that they had enough money for later years, the factors influencing on total real estate were found to be income, debt, and liquid assets.

  • https://doi.org/10.6115/khea.2010.48.4.001 인용 PDF KSCI

A Study on Ship Path Planning Algorithm based on Real-time Ocean Environment (실해역 환경을 고려한 선박의 최적항해계획 알고리즘 연구)

  • Kim, Dongjun;Seol, Hyeonju;Kim, Jinju
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.19 no.2
    • /
    • pp.252-260
    • /
    • 2016

  • Unlike terrestrial transportation, marine transportation should consider environment factors in order to optimize path planning. This is because, ship's path planning is greatly influenced by real-time ocean environment-sea currents, wave and wind. Therefore, in this study, we suggest a ship path planning algorithm based on real-time ocean environment using not only $A^*$ algorithm but also path smoothing method. Moreover, in order to improve objective function value, we also consider ship's moving distance based on ship's location and real-time ocean environment data on grid map. The efficiency of the suggested algorithm is proved by comparing with $A^*$ algorithm only. This algorithm can be used as a reasonable automatics control system algorithm for unmaned ship.

  • https://doi.org/10.9766/KIMST.2016.19.2.252 인용 PDF KSCI

An Analysis Of The Importance Of The Evaluation Criteria Of The Real Estate Financial Consumer Protection System - Utilizing The AHP Technique (부동산 금융소비자 보호 체계의 평가 기준 간 중요도 분석: AHP 기법을 활용하여)

  • Lee, Yeon-Jae;Shin, Seung-Woo
    • Asia-Pacific Journal of Business
    • /
    • v.13 no.3
    • /
    • pp.227-243
    • /
    • 2022

  • Purpose - This study surveyed real estate financial consumers and financial company staff regarding the components of the financial consumer protection system to seek detailed improvement plans for the Financial Consumer Protection Act. Design/methodology/approach - The Analytic Hierarchy Process (AHP) technique is applied. Findings - Both consumers and staff highly evaluated the importance of the preventive measures in the main classification factors. Regarding the sub-classification factors of preventive measures, consumers emphasized the responsible management of investment staff and financial institutions; however, the staff stressed the principle of effectiveness and efficiency. Regarding the elements of ex-post remedies, consumers answered that fast remedy would have a significant effect. At the same time, staff believed that punitive measures hinder free trading and investment activities. Regarding the sub-sub classification factors of prevention measures, the consumers value responsible management of staff and financial companies, while the staff tend to prefer the importance of the self-regulatory governance. Research implications or Originality - Based on the above results, financial regulatory authorities should find a balance between preventive and ex-post components once focusing on preventative measures. Our paper is one of the first research findings in this field of financial consumer protection system in Korea.

  • https://doi.org/10.32599/apjb.13.3.202209.227 인용 PDF

Factors Affecting the Development of Vietnamese Construction and Real Estate Companies

  • PHAN, Giang Lam;NGUYEN, Thuy Dieu;NGUYEN, Chi Thi;NGUYEN, Lan;TRAN, Le Thi
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.9 no.9
    • /
    • pp.93-104
    • /
    • 2022

  • This study aims to investigate the factors that contribute to the sustainable development of 334 Vietnamese construction and real estate companies listed on the Stock Exchange of Vietnam over a 5-year period from 2016 to 2020. By using regression analysis with the support of STATA software through examining the financial statements, which involves looking into crucial ratios including capital structure, profitability, firm size, accounts receivable management, and tangible assets investment, this study sheds light on whether these accounting indicators could help predict the construction and real estate companies growing potential in the future. Nevertheless, these ratios slightly contribute to the explanation of the change in revenue growth ratio, with a result of 1.6%, indicating that the value relevance of accounting information provides a modest and insignificant effect on investment decisions. This is understandable because the Vietnamese construction and real estate market still has many shortcomings in handling unexpected events, as well as the industry's peculiarities related to major capital sources from bank loans. Based on this study, governmental authorities and business executives should plan appropriate risk management policies and measures to contribute to the sustainable development of construction and real estate companies.

  • https://doi.org/10.13106/jafeb.2022.vol9.no9.0093 인용 PDF KSCI HTML

Missing Value Imputation based on Locally Linear Reconstruction for Improving Classification Performance (분류 성능 향상을 위한 지역적 선형 재구축 기반 결측치 대치)

  • Kang, Pilsung
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.38 no.4
    • /
    • pp.276-284
    • /
    • 2012

  • Classification algorithms generally assume that the data is complete. However, missing values are common in real data sets due to various reasons. In this paper, we propose to use locally linear reconstruction (LLR) for missing value imputation to improve the classification performance when missing values exist. We first investigate how much missing values degenerate the classification performance with regard to various missing ratios. Then, we compare the proposed missing value imputation (LLR) with three well-known single imputation methods over three different classifiers using eight data sets. The experimental results showed that (1) any imputation methods, although some of them are very simple, helped to improve the classification accuracy; (2) among the imputation methods, the proposed LLR imputation was the most effective over all missing ratios, and (3) when the missing ratio is relatively high, LLR was outstanding and its classification accuracy was as high as the classification accuracy derived from the compete data set.

  • https://doi.org/10.7232/JKIIE.2012.38.4.276 인용 PDF KSCI

A Study on the Optimized Architectural Space Planning by Searching Algorithm Method (탐색적 방법에 의한 건축공간 배치계획 최적화에 대한 고찰)

  • Lim, Myung-Gu;Kim, Su-Young
    • Journal of The Korean Digital Architecture Interior Association
    • /
    • v.1 no.1
    • /
    • pp.51-58
    • /
    • 2001

  • The purpose of this study is to improve productivity of architectural space planning(A.S.P,) by computer system and to optimize ASP. A searching algorithm is the best way to slave optimized A.S.P. Because architectural design is too many various site situations and client's demands to specify the general solving methods. This method seek the best design case in all possibility and to be modeled as this; $\rightarrow$[$\rightarrow$$\rightarrow$