• Title/Summary/Keyword: Valuation Error

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A Study for Human-Error Prevention of Chemical Plant Safety Accident (Chemical 공장 안전사고에 Human-Error 방지에 대한 연구)

  • 윤용구;홍성만;박범
    • Proceedings of the Safety Management and Science Conference
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    • 2004.05a
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    • pp.33-39
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    • 2004
  • The chemical factory deals with dangerous element and more advance, human-error analyzes and becomes effective research for the country and region, this paper analyes the form of work-miss on human-error according to a safety accident for domestic chemical factory from 1999-2002. It include the present contents and raise issues human knowledge, behavior, judgment, sensibility as an important counterplan that makes the safety solution of work miss. For the point of view of human knowledge, it takes color standard for works to be effective in work place. for behavior, the test has been for risk point of work place and infra worker movement, also the workers performed professional work as classify according to work. for judgement, the valuation sheet is reflected to minimize the human -error and the 3rd supervisor does a cross-check audit beforehand. For sensibility, it is applicable for human relations, information, communication by program to the consciousness and an attitude of worker-supervisor.

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Design and Implementation of a Face Authentication System (딥러닝 기반의 얼굴인증 시스템 설계 및 구현)

  • Lee, Seungik
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.63-68
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    • 2020
  • This paper proposes a face authentication system based on deep learning framework. The proposed system is consisted of face region detection and feature extraction using deep learning algorithm, and performed the face authentication using joint-bayesian matrix learning algorithm. The performance of proposed paper is evaluated by various face database , and the face image of one person consists of 2 images. The face authentication algorithm was performed by measuring similarity by applying 2048 dimension characteristic and combined Bayesian algorithm through Deep Neural network and calculating the same error rate that failed face certification. The result of proposed paper shows that the proposed system using deep learning and joint bayesian algorithms showed the equal error rate of 1.2%, and have a good performance compared to previous approach.

Semiparametric Evaluation of Environmental Goods: Local Linear Model Approach

  • Jeong, Ki-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.2
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    • pp.209-216
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    • 2003
  • Contingent valuation method (CVM) is a main evaluation method of nonmarket goods for which markets either do not exist at all or do exist only incompletely; an example is environmental good. A dichotomous choice approach, the most popular type of CVM in environmental economics, employs binary discrete choice models as statistical estimation models. In this paper, we propose a semiparametric dichotomous choice CVM method using local linear model of Fan and Gijbels (1996) in which probability distribution of error term is specified parametrically but latent structural function is specified nonparametrically. The computation procedures of the proposed method are illustrated with a simple design of simulations.

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Basal Area-Stump Diameter Models for Tectona grandis Linn. F. Stands in Omo Forest Reserve, Nigeria

  • Chukwu, Onyekachi;Osho, Johnson S.A.
    • Journal of Forest and Environmental Science
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    • v.34 no.2
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    • pp.119-125
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    • 2018
  • The tropical forests in developing countries are faced with the problem of illegal exploitation of trees. However, dearth of empirical means of expressing the dimensions, structure, quality and quantity of a removed tree has imped conviction of offenders. This study aimed at developing a model that can effectively estimate individual tree basal area (BA) from stump diameter (Ds) for Tectona grandis stands in Omo Forest Reserve, Nigeria, for timber valuation in case of illegal felling. Thirty-six $25m{\times}25m$ temporary sample plots (TSPs) were laid randomly in six age strata; 26, 23, 22, 16, 14, and 12 years specifically. BA, Ds and diameter at breast height were measured in all living T. grandis trees within the 36 TSPs. Least square method was used to convert the counted stumps into harvested stem cross-sectional areas. Six basal area models were fitted and evaluated. The BA-Ds relationship was best described by power model which gave least values of Root mean square error (0.0048), prediction error sum of squares (0.0325) and Akaike information criterion (-15391) with a high adjusted coefficient of determination (0.921). This study revealed that basal area estimation was realistic even when the only information available was stump diameter. The power model was validated using independent data obtained from additional plots and was found to be appropriate for estimating the basal area of Tectona grandis stands in Omo Forest Reserve, Nigeria.

MRC Performance Comparison between Rectangular QAM and M-PSK over Nakagami-n Fading Channels (나카가미-n 페이딩 채널에서 직사각 QAM과 M-PSK 신호의 최대비 합성 수신 성능 비교)

  • Lim, Jeong-Seok;Park, Sang-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.8C
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    • pp.754-761
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    • 2005
  • We derive and analyze a bit error rate(BER) expression of a Gray coded rectangular QAM(R-QAM) signal with maximal ratio combining diversity(MRC) reception over Nakagami-n(Rician) fading channels. The derived result is provided in terms of the Whittaker function and the confluent hypergeometric function. In addition, by performance comparison with M-PSK, we see the Nakagami-n fading channel characteristics. Because the derived expression is general, it can readily allow numerical e·valuation for various cases of practical interest such as line-of-sight (LOS) or satellite communication channel analysis.

Study on The Optimal Software Release Time Methodology (소프트웨어 치적 배포시기 결정 방법에 대한 고찰)

  • 이재기;박종대;남상식;김창봉
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.2
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    • pp.26-37
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    • 2003
  • An optimal software release, which is related to the development cost, error detection and correction under the various operation systems, is a critical factor for managing project. This paper described optimal software release issues to predict the release time of large switching system with the system stability point of view and evaluated a timely supply of target system, proper utilization of resources under the software reliability valuation basis. Finally, Using initial failure data, based on the exponential reliability growth model methodology, optimal release time, and analysis of failure data during the system testing and managing methodologies were presented.

Estimating the Willingness-to-Pay and the Value of a Statistical Life for Future Mortality Risk Reduction : The Value of a Statistical Life for Assessing Environmental Damages and Policies (미래의 사망가능성 감소에 대한 지불의사금액과 통계적 인간생명의 가치 측정 -환경적 피해와 환경정책의 평가를 위한 통계적 인간생명의 가치-)

  • Shin, Young Chul;Joh, Seunghun
    • Environmental and Resource Economics Review
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    • v.12 no.1
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    • pp.49-74
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    • 2003
  • This study used a slightly modified version of contingent valuation questionnaire designed and developed by Krupnick et al.(2000) to estimate the value of mortality risk reduction for environmental policy. Because that environmental policy, especially air pollution policy with some latency main effect on mortality risk reduction of old people with some latency period, respondents were asked about their current WTP for 5/1,000 mortality risk reduction being to take place beginning at 70 over the course of ten years. The annual mean WTP is 233,370 won (standard error 32,570 won) in spike/continuous/interval data model. The implied VSL is 466 million won. The 95% confidence interval is 339 million won~594 million won.

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A study on the On-line Teaching system for Linux-based Programming Language (리눅스 기반 프로그래밍 언어의 온라인 학습 시스템 구성에 관한 연구)

  • Jun, Ho-Ik;Lee, Hyun-Chang
    • Journal of Software Assessment and Valuation
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    • v.17 no.1
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    • pp.67-73
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    • 2021
  • In this paper, a system configuration method that can practice Linux-based programming language online is presented. The proposed system utilizes the web-server function, which is the biggest feature of the Linux operating system, and simulates the telnet and FTP functions without firewalls or other security restrictions, so that it is possible to practice similar to the actual Linux console. To do this, we analyzed the functional elements that a programming tool should have on the web and established an algorithm to implement it. In particular, a method was implemented in which an error message caused by a user's mistake can appear in the same form as the actual telnet screen. As a result of using the implemented learning system in the class for students, it is possible to practice the Linux programming language online, as well as the instructor can directly check and guide all the learners, so the learner's satisfaction is similar to that of the offline class was confirmed.

Comparison procedure in evaluation analysis of source code comparison on Embedded system (정보기기 소스코드 유사성 분석에서 목적물 검증)

  • Nam, SangYep;Kim, Do-Hyeun;Lee, Kyu-Tae
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.31-38
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    • 2021
  • In order to analyze the similarity of the source code object material, the source code on both sides must be able to be compiled and executed. In particular, in the case of hardware-integrated software, it is necessary to check whether the hardware interface matches. However, currently, the source code is provided in an incomplete state which is not original of source code used in developing steps. The complainant confirms that the executing characteristics are similar to their own in the expression and function of the output, and request an evaluation. When a source code compilation error occurs during the evaluation process, the experts draw a flowchart of the source code and applies the method of tracing the code flow for each function as indirect method. However, this method is indirect and the subjective judgment is applied, so there is concern about the contention of objectivity in the similarity evaluation result. In this paper, the problems of unverified source code similarity analysis and improvement directions are dealt with, through the analysis cases of source code disputes applied to embedded systems.

Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images (RGB 영상에서 딥러닝 기반 동공 중심점을 이용한 홍채 검출)

  • Lee, Tae-Gyun;Yoo, Jang-Hee
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.135-142
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    • 2020
  • In this paper, we describe the iris localization method in RGB images. Most of the iris localization methods are developed for infrared images, thus an iris localization method in RGB images is required for various applications. The proposed method consists of four stages: i) detection of the candidate irises using circular Hough transform (CHT) from an input image, ii) detection of a pupil center based on deep learning, iii) determine the iris using the pupil center, and iv) correction of the iris region. The candidate irises are detected in the order of the number of intersections of the center point candidates after generating the Hough space, and the iris in the candidates is determined based on the detected pupil center. Also, the error due to distortion of the iris shape is corrected by finding a new boundary point based on the detected iris center. In experiments, the proposed method has an improved accuracy about 27.4% compared to the CHT method.