• 제목/요약/키워드: real value

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

  • 이정희;박명기;김윤성;윤희정;이창희;정아용;윤미혜
    • 한국환경보건학회지
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    • 제45권5호
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    • pp.511-519
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    • 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.

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

  • 김정현;김진영;홍영진;권장우;강동중;노태정
    • 제어로봇시스템학회논문지
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    • 제13권11호
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    • pp.1074-1081
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    • 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.

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

  • 장성욱;이진걸
    • 대한기계학회논문집A
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    • 제26권6호
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    • pp.1092-1098
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    • 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.

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

  • 황연희;김영범;이상호
    • 한국산업정보학회논문지
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    • 제25권3호
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    • pp.83-97
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    • 2020
  • 일관된 온/오프 아이덴티티 관리를 통해 양방향 커뮤니케이션을 강화하고 상호작용을 촉진하는 SNS의 본질과는 다르게 타인의 의견을 일방적으로 수용하는 수동적인 이용행태가 강화되고 있으며 표현의 자유를 즐기기 위해 페이스북을 익명 또는 가명으로 사용하는 사람들이 증가하는 경향을 보인다. 이처럼 변형적으로 나타나는 이용행태를 설명하기 위해 본 연구는 자존감, 실명사용, 의사표현과 같은 심리적·행태적 변인을 포함한 통합모형을 제시하고자 하였다. 연구결과 자존감이 실명사용과 자기노출에 영향을 주는 것으로 나타났으며, 실명사용자가 자신에 대해 더 많은 정보를 노출함에 따라 관계에 대한 만족도와 지속이용의도가 증가하는 결과를 보였다.

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

  • 정운영;이희숙
    • 대한가정학회지
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    • 제48권4호
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    • pp.1-12
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    • 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.

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

  • 김동준;설현주;김진주
    • 한국군사과학기술학회지
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    • 제19권2호
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    • pp.252-260
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    • 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.

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

  • 이연재;신승우
    • 아태비즈니스연구
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    • 제13권3호
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    • pp.227-243
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    • 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.

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
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    • 제9권9호
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    • pp.93-104
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    • 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.

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

  • 강필성
    • 대한산업공학회지
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    • 제38권4호
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    • pp.276-284
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    • 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.

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

  • 임명구;김수영
    • 한국디지털건축인테리어학회논문집
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    • 제1권1호
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    • pp.51-58
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    • 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$