• Title/Summary/Keyword: Missing Probability

Search Result 77, Processing Time 0.027 seconds

Analysis of the Relations between Design Errors Detected during BIM-based Design Validation and their Impacts Using Logistic Regression (로지스틱 회귀분석을 이용한 BIM 설계 검토에 의하여 발견된 설계 오류와 그 영향도간의 관계 분석)

  • Won, Jong-Sung;Kim, Jae-Yeo
    • Journal of the Korea Institute of Building Construction
    • /
    • v.17 no.6
    • /
    • pp.535-544
    • /
    • 2017
  • This paper analyzes the relations between design errors, prevented by building information modeling (BIM)-based design validation, and their impacts in order to identify critical consideration factors for implementing BIM-based design validation in architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to their causes (illogical error, discrepancy, and missing item) and work types (structure, architecture, and mechanical, electrical, and plumbing (MEP)). The probabilistic relations among the independent variables, including the causes and work types of design errors, and the dependent variables, including the project delays, cost overruns, low quality, and rework generation that can be caused by these errors, are analyzed using logistic regression. The characteristics of each design error are analyzed by means of face-to-face interviews with practitioners. According to the results, the impacts of design error causes in predicting the probability values of project delays, cost overruns, low quality, and rework generation were statistically meaningful.

Polyunsaturated fatty acids, lung function, and health-related quality of life in patients with chronic obstructive pulmonary disease

  • Choi, Hyunji;Kim, Taeyun
    • Journal of Yeungnam Medical Science
    • /
    • v.37 no.3
    • /
    • pp.194-201
    • /
    • 2020
  • Background: Dietary polyunsaturated fatty acids (PUFA) are thought to modify systemic inflammation. The present study aimed to evaluate the relationship between PUFA intake, lung function, and health-related quality of life (HRQoL) in patients with chronic obstructive pulmonary disease (COPD). Methods: In this study, we used the dataset of 6th Korea National Health and Nutrition Examination Survey, in which, a total of 22,948 individuals including 573 participants with a high probability of developing COPD were enrolled. Participants with missing data for the investigated variables were excluded. Linear regression analyses were used to evaluate the association between PUFA intake (omega-3 [N3], omega-6 [N6], and total) with lung function, and HRQoL. HRQoL was determined according to the European Quality of Life-5 Dimensions (EQ-5D). Subgroup analysis of older patients was performed. Age, sex, body mass index, smoking, alcohol, education, residence, total calorie intake, and predicted FEV1% were adjusted in all analyses. Results: Although lung function was not associated with PUFA intake, EQ-5D index was remarkably associated with N3, N6, and total PUFA intake in a dose-dependent manner. This association was more pronounced in elderly COPD patients. Mean levels of N3, N6, and total PUFA intake were significantly higher in patients having better HRQoL with respect to mobility, self-care, and usual activities. Conclusion: Our results suggest that N3, N6, and total PUFA intake are associated with HRQoL in COPD patients. This association may be attributed to mobility, self-care, and usual activities. Further longitudinal study is required to clarify this relationship.

The Effect of Social Support on Youth Student-Athletes' Stress and Deviant Behavior (사회적지지가 청소년 운동선수들의 스트레스 및 일탈행동에 미치는 영향)

  • Kwon, Wook-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.8
    • /
    • pp.5198-5206
    • /
    • 2015
  • The purpose of this study was to examine the effect of social support from friend, senior junior, and coach on student-athletes' stress and deviant behavior. By using convenience sampling method of non-probability sampling, a total of 350 student-athletes from D and G city were selected. Of 217 copies of the questionnaire gathered, 35 were discarded owing to having excessive missing values. Thus, by analysing a total of 182 surveys with structural equation modeling through AMOS 20.0 statistics program, this study found the followings. First, social support has a negative influence on stress. Second, stress has a positive influence on deviant behavior. Third, social support has a negative influence on deviant behavior mediated by stress.

Full mouth rehabilitation of an oligodontia patient with intellectual disability based on shortened dental arch concept: a case report (2급 지적 장애를 가진 환자의 SDA 개념을 적용한 전악 수복 증례)

  • You, Jae-Wook;Heo, Seong-Joo;Kim, Seong-Kyun;Koak, Jai-Young
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.50 no.4
    • /
    • pp.330-335
    • /
    • 2012
  • Shortened dental arch (SDA) as a treatment goal is the concept that stable occlusion and enough masticatory force can be achieved by restoration to the second premolars when the situation is not favorable. SDA could be applied both natural teeth and implant supported fixed prostheses. This case dealt with a patient who has grade 2 intellectual disability and a lot of missing teeth. Because of intellectual disability, patient cooperation during treatment could not be expected. Therefore every treatment should be done under general anesthesia. In addition to that, ridge resorption around molar area was severe and there were maxillary sinus pneumatization and maxillary sinusitis which increased failure probability. SDA concept was adopted to reduce risk factor and minimize general anesthesia. After the treatment, functional and esthetic improvement was achieved and oral hygiene was fortified by periodic recall check and education.

The Relationship between Industrial Classification and Chronic Disease (산업분류와 만성질환 유무와의 관계)

  • Hong, Jin Hyuk;Yoo, Ki Bong;Kim, Sun Ho;Kim, Chung Woo;Noh, Jin Won
    • Korea Journal of Hospital Management
    • /
    • v.21 no.4
    • /
    • pp.55-62
    • /
    • 2016
  • Purposes: The industry has specialized and fragmented than in the past. As a factor of economic growth and industrialization, the number of people employed in primary industry decreased and the number of people employed in secondary and third industry continuously increased. In modern times, incidence of chronic disease is increasing according to industrial development. So, the purpose of this study was to analyze the chronic disease according to Clark's industrial classification. Methodology: Data were derived from the 2012 Korea Health Panel. The sample was made up of 7,132 adult participants aged 20 or over selected Korea Health Panel by probability sampling from Korea. Binary logistic regression analysis was conducted to examine the main factors associated with chronic disease. Findings: The significant factors associated with chronic disease were gender, age, marital status, household member, education level, insurance type, disability, BMI, and industrial classification. Female, elderly, divorced(including bereavement, missing and separation), one-person households, less than high school graduation, medical aid, disability, obese and primary industry were confirmed chronic disease increases. Practical Implications: The study finds that primary industry's prevalence of chronic disease was higher than secondary and third industry. Therefore, this study aims to management and effort of the worker who engaged in the primary industry. Policy development is required to address inequality or popularization of the differences in these factors by conducting a study to define the working conditions and socio-economic factors between industry.

An Analysis of Recognitions of Elementary School Students on Useful Classes among School Sport Clubs for Program Development using the IPA Method (IPA매트릭스를 이용한 초등학생의 학교스포츠클럽 유익한 수업 인식을 위한 프로그램 개발 분석)

  • MUN, Sun-Ho;KIM, Nam-Young;KWON, Il-Kwon
    • Journal of Fisheries and Marine Sciences Education
    • /
    • v.27 no.4
    • /
    • pp.1147-1159
    • /
    • 2015
  • The purpose of this study was to verify the analysis of level of importance and satisfaction in recognitions of elementary school students on useful classes among school sport clubs using Importance-Performance analysis. In order to achieve this objective, samples were taken by using convenience sampling method among non-probability sampling methods, and 384 data were used as the final valid samples for this study except 16 data with missing items or insincere responses. The results of frequency analysis, exploratory factor analysis, independent samples t-test, IPA analysis by using SPSS 20.0 were as follows. First, Iquadrant included education contents of enhance ability to ingenuity, teaching method of provides option, teaching method of encourage participation activity, education contents of the aspect of fun, evaluation of motor function and emotion, education contents of explains key contents easily, and education contents of understanding overall context. II quadrant included education environment of good sport facility, class environment of fair opportunity for activity, class atmosphere of arouses interest, and class atmosphere of autonomous and voluntary. III quadrant included diverse teaching method and instructor's demonstration, class atmosphere of systematic learning, evaluation of fairness, objectivity, and credibility, and an atmosphere that can exercise. IV quadrant included education contents of enable acquisition of knowledge and degree of improvement into consideration, and class atmosphere of trust and respect between instructor and student.

Location Estimation for Multiple Targets Using Tree Search Algorithms under Cooperative Surveillance of Multiple Robots (다중로봇 협업감시 시스템에서 트리 탐색 기법을 활용한 다중표적 위치 좌표 추정)

  • Park, So Ryoung;Noh, Sanguk
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.38A no.9
    • /
    • pp.782-791
    • /
    • 2013
  • This paper proposes the location estimation techniques of distributed targets with the multi-sensor data perceived through IR sensors of the military robots. In order to match up targets with measured azimuths, we apply the maximum likelihood (ML), depth-first, and breadth-first tree search algorithms, in which we use the measured azimuths and the number of pixels on IR screen for pruning branches and selecting candidates. After matching up targets with azimuths, we estimate the coordinate of each target by obtaining the intersection point of the azimuths with the least square error (LSE) algorithm. The experimental results show the probability of missing target, mean of the number of calculating nodes, and mean error of the estimated coordinates of the proposed algorithms.

Sparse reconstruction of guided wavefield from limited measurements using compressed sensing

  • Qiao, Baijie;Mao, Zhu;Sun, Hao;Chen, Songmao;Chen, Xuefeng
    • Smart Structures and Systems
    • /
    • v.25 no.3
    • /
    • pp.369-384
    • /
    • 2020
  • A wavefield sparse reconstruction technique based on compressed sensing is developed in this work to dramatically reduce the number of measurements. Firstly, a severely underdetermined representation of guided wavefield at a snapshot is established in the spatial domain. Secondly, an optimal compressed sensing model of guided wavefield sparse reconstruction is established based on l1-norm penalty, where a suite of discrete cosine functions is selected as the dictionary to promote the sparsity. The regular, random and jittered undersampling schemes are compared and selected as the undersampling matrix of compressed sensing. Thirdly, a gradient projection method is employed to solve the compressed sensing model of wavefield sparse reconstruction from highly incomplete measurements. Finally, experiments with different excitation frequencies are conducted on an aluminum plate to verify the effectiveness of the proposed sparse reconstruction method, where a scanning laser Doppler vibrometer as the true benchmark is used to measure the original wavefield in a given inspection region. Experiments demonstrate that the missing wavefield data can be accurately reconstructed from less than 12% of the original measurements; The reconstruction accuracy of the jittered undersampling scheme is slightly higher than that of the random undersampling scheme in high probability, but the regular undersampling scheme fails to reconstruct the wavefield image; A quantified mapping relationship between the sparsity ratio and the recovery error over a special interval is established with respect to statistical modeling and analysis.

Self-Consciousness Information of the one who just came up (생겨난 이의 자기의식 정보)

  • Kim, Myeongseok
    • Korean Journal of Logic
    • /
    • v.22 no.1
    • /
    • pp.1-23
    • /
    • 2019
  • Gott, Carter, Leslie, Bostrom and so on, as Descartes did, have made the evidence that is "I am here as an observer" to support many other beliefs. Bostrom and others who studied observation selection effects are missing two points. First, the self-consciousness information of the ones who just came up is distinct from that of the ones who have awoken. The awoken 'I' can trace back by memory to the past, but the 'I' who just came up can not. Second, when calculating credence, we must distinguish the ones in the possible worlds from the ones in the actual worlds. An estimate of credence where only one possible world is actualized among all possible worlds, differs fundamentally from that where all possible worlds are actualized. Keeping these two points in mind, we have explored what is the nature of the self-consciousness information of the one who just came up. We examine in depth the two human embryos thought experiment.

Design of an Aquaculture Decision Support Model for Improving Profitability of Land-based Fish Farm Based on Statistical Data

  • Jaeho Lee;Wongi Jeon;Juhyoung Sung;Kiwon Kwon;Yangseob Kim;Kyungwon Park;Jongho Paik;Sungyoon Cho
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.18 no.8
    • /
    • pp.2431-2449
    • /
    • 2024
  • As problems such as water pollution and fish species depletion have become serious, a land-based fish farming is receiving a great attention for ensuring stable productivity. In the fish farming, it is important to determine the timing of shipments, as one of key factors to increase net profit on the aquaculture. In this paper, we propose a system for predicting net profit to support decision of timing of shipment using fish farming-related statistical data. The prediction system consists of growth and farm-gate price prediction models, a cost statistics table, and a net profit estimation algorithm. The Gaussian process regression (GPR) model is exploited for weight prediction based on the analysis that represents the characteristics of the weight data of cultured fish under the assumption of Gaussian probability processes. Moreover, the long short-term memory (LSTM) model is applied considering the simple time series characteristics of the farm-gate price data. In the case of GPR model, it allows to cope with data missing problem of the weight data collected from the fish farm in the time and temperature domains. To solve the problem that the data acquired from the fish farm is aperiodic and small in amount, we generate the corresponding data by adopting a data augmentation method based on the Gaussian model. Finally, the estimation method for net profit is proposed by concatenating weight, price, and cost predictions. The performance of the proposed system is analyzed by applying the system to the Korean flounder data.