• 제목/요약/키워드: h-likelihood

검색결과 155건 처리시간 0.025초

Predictors of Long-term Abstinence Among Chinese Smokers Following Treatment: The Role of Personality Traits

  • Leung, Doris Y.P.;Au, Doreen W.H.;Lam, Tai-Hing;Chan, Sophia S.C.
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5351-5354
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    • 2013
  • Four hundred and thirty-five Chinese smokers who had attended the first smoking cessation clinic and received stage-matched individualized cessation counseling in Hong Kong during the period of August 2000 to January 2002 were successfully followed-up between February and August 2008. Some 38% of the participants (165/495) had stopped smoking during the 12-month follow-up after treatment. Participants with higher conscientiousness score (OR = 1.65, 95% CI: 1.09 - 2.48) and lower openness to experience score (OR = 0.64, 95% CI: 0.45 - 0.92) showed a greater likelihood of quitting smoking after controlling the effect of daily cigarettes smoked and stage of readiness at baseline. The study suggests an important role of conscientiousness and openness to experience on long-term quitting behaviors following treatment, and provides useful information for the development of matched intervention for smoking cessation among Chinese smokers.

움직임벡터차에 기반한 고속 움직임 추정 방법 (Fast Motion Estimation Method Based on Motion Vector Differences)

  • 강현수
    • 한국콘텐츠학회논문지
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    • 제11권5호
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    • pp.9-14
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    • 2011
  • 본 논문은 움직임벡터차의 확률을 이용하여 움직임 탐색 범위를 결정하는 새로운 고속 움직임 추정 방법을 제안한다. 제안된 방법은 일종의 적응적 탐색영역 방법이다. 움직임벡터차의 분포에 대한 조사하고 그 분포의 파라미터를 최대우도추정방법으로 추정한다. 이 추정된 분포를 이용하여 탐색 범위는 움직임벡터차의 지정된 확률에 의해 효과적으로 제한될 수 있음을 보인다. 실험적으로 제안된 방법의 성능이 화질면에서 전역탐색법과 유사하며 복잡도 면에서는 중대한 감소를 입증하였다. 뿐만 아니라, 제안된 방법이 기존의 적응적 탐색영역 방법에 비해 훨씬 더 효과적으로 탐색영역을 결정함을 보여주었다.

Phylogeny and systematics of Crossosomatales as inferred from chloroplast atpB, matK, and rbcL sequences

  • Oh, Sang-Hun
    • 식물분류학회지
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    • 제40권4호
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    • pp.208-217
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    • 2010
  • Crossosomatales is a recently recognized order in the rosid II clade with about 64 species in eight morphologically distinct families that have been previously classified in as many as 15 other orders. Phylogenetic relationships among the families and genera within Crossosomatales were investigated using chloroplast atpB, matK, and rbcL sequences employing maximum parsimony, maximum likelihood, and Bayesian methods. The phylogenetic framework was used to examine the patterns of morphological evolution and synapomorphies for subclades within Crossosomatales. The combined data with representative species from all genera in the order strongly supported monophyly of Crossosomatales. Strong support was found for the families in the Southern Hemisphere, in which Aphloiaceae is sister to the clade of (Geissolomataceae, (Ixerbaceae + Strasburgeriaceae)). The sister relationship between the Southern Hemisphere clade and families distributed primarily in the Northern Hemisphere was also supported. As in the previous studies, following relationships were found within the Northern Hemisphere clade: Staphyleaceae is sister to a clade of (Guamatelaceae, (Stachyuraceae + Crossosomataceae)). The pattern analysis indicates that evolutionary pattern of morphological characters is complex, requiring multiple changes within Crossosomatales. Several reproductive traits, such as inflorescence, aril, stigma, and conspicuous protrusion from pollen aperture, corroborate the molecular phylogeny.

Risk-Incorporated Trajectory Prediction to Prevent Contact Collisions on Construction Sites

  • Rashid, Khandakar M.;Datta, Songjukta;Behzadan, Amir H.;Hasan, Raiful
    • Journal of Construction Engineering and Project Management
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    • 제8권1호
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    • pp.10-21
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    • 2018
  • Many construction projects involve a plethora of safety-related problems that can cause loss of productivity, diminished revenue, time overruns, and legal challenges. Incorporating data collection and analytics methods can help overcome the root causes of many such problems. However, in a dynamic construction workplace collecting data from a large number of resources is not a trivial task and can be costly, while many contractors lack the motivation to incorporate technology in their activities. In this research, an Android-based mobile application, Preemptive Construction Site Safety (PCS2) is developed and tested for real-time location tracking, trajectory prediction, and prevention of potential collisions between workers and site hazards. PCS2 uses ubiquitous mobile technology (smartphones) for positional data collection, and a robust trajectory prediction technique that couples hidden Markov model (HMM) with risk-taking behavior modeling. The effectiveness of PCS2 is evaluated in field experiments where impending collisions are predicted and safety alerts are generated with enough lead time for the user. With further improvement in interface design and underlying mathematical models, PCS2 will have practical benefits in large scale multi-agent construction worksites by significantly reducing the likelihood of proximity-related accidents between workers and equipment.

결합 다단계 일반화 선형모형을 이용한 다변량 경시적 자료 분석 (The Use of Joint Hierarchical Generalized Linear Models: Application to Multivariate Longitudinal Data)

  • 이동환;유재근
    • 응용통계연구
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    • 제28권2호
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    • pp.335-342
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    • 2015
  • 경시적 자료는 각 환자마다 시간에 따라 반복 측정되는 코호트 연구 등에서 많이 쓰인다. 본 연구는 반응변수 간 상관성을 고려할 수 있는 결합 다단계 일반화 선형모형을 이용하여, 다변량 경시적 자료 분석을 수행하였다. 한국 유전체 역학 연구에서 실시한 코호트 자료를 적합하고 결과를 해석한다. 조건부 아카이케 정보 기준을 이용하여 모형 선택을 하고, 변량효과들의 추정치들을 설명한다.

A new Bayesian approach to derive Paris' law parameters from S-N curve data

  • Prabhu, Sreehari Ramachandra;Lee, Young-Joo;Park, Yeun Chul
    • Structural Engineering and Mechanics
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    • 제69권4호
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    • pp.361-369
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    • 2019
  • The determination of Paris' law parameters based on crack growth experiments is an important procedure of fatigue life assessment. However, it is a challenging task because it involves various sources of uncertainty. This paper proposes a novel probabilistic method, termed the S-N Paris law (SNPL) method, to quantify the uncertainties underlying the Paris' law parameters, by finding the best estimates of their statistical parameters from the S-N curve data using a Bayesian approach. Through a series of steps, the SNPL method determines the statistical parameters (e.g., mean and standard deviation) of the Paris' law parameters that will maximize the likelihood of observing the given S-N data. Because the SNPL method is based on a Bayesian approach, the prior statistical parameters can be updated when additional S-N test data are available. Thus, information on the Paris' law parameters can be obtained with greater reliability. The proposed method is tested by applying it to S-N curves of 40H steel and 20G steel, and the corresponding analysis results are in good agreement with the experimental observations.

Use Case Elicitation Method Using "When" Sentences from User Reviews

  • Kim, Neung-Hoe;Hong, Chan-Ki
    • International journal of advanced smart convergence
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    • 제9권4호
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    • pp.198-202
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    • 2020
  • User review sites are spaces where users can freely post and share their opinions, which are trusted by many people and directly influence sales. In addition, they overcome the limitations arising from existing requirements collection and are able to gather the needs of large numbers of different people at a low cost. Therefore, such sites are attracting attention as new spaces for understanding user needs. In a previous study, a user review analysis was attempted using 5W and 1H, and we inferred that a sentence containing "when" has special information based on the user experience. In addition, the requirements of the derivative activities in a user review can identify more user needs than the general requirements of derivative activities. In this paper, we propose a systematic method of deriving "when" sentences contain meaningful information from user reviews and converting them into use cases, which is one of the requirements of a specification method. This method converts unstructured data into structured data such that it can be included as the user requirements during software development from user comments expressed in natural language. This method will reduce project failures and increase the likelihood of success by enabling an efficient collection and analysis of user needs from valuable user reviews.

The strategy to catch more early light curves of supernovae

  • Hwang, Jeeun;Im, Myungshin;Paek, Gregory S.H.
    • 천문학회보
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    • 제46권2호
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    • pp.71.3-72
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    • 2021
  • The Intensive Monitoring Survey of Nearby Galaxies (IMSNG) is a high cadence observation program monitoring nearby galaxies at < 50 Mpc with high probabilities of hosting supernovae (SNe). The current number of main IMSNG targets is 60, but with new wide-field facilities joining IMSNG, there is a possibility of increasing the likelihood of catching the early light curves of SNe among galaxies in the vicinity of the main targets. To test the feasibility of the expansion of the sample galaxies, we examine how much the probability of catching SNe increases by adjusting the field of view of the RASA36 telescope which is one of the IMSNG facilities with a large field of view of 6.25 deg2. We calculate supernova rates (SNRs) of galaxies within the FoV that contains main IMSNG galaxies from the stellar mass and star formation rate of the galaxies. Based on the SNRs of these galaxies, we find the best pointing of the telescope towards the highest SNR region. As a result, we present improved total SNR, with respect to the ordinary pointing on average where the IMSNG main target is placed at the center of FoV. The actual observation should be followed to test the effect of this strategy.

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한국 재래 돼지 근교 계통 돈의 산육 형질에 대한 유전모수 및 표준 성장 곡선 추정에 관한 연구 (Study on Estimation of Genetic Parameters for the Meat Production Traits and the Standard Growth Curve in the Inbred Line of Korean Native Pig)

  • 김명직;조규호;전기준;김영화;박준철;정현정;김인철;권오섭;진현주;김진형;이학교
    • 한국수정란이식학회지
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    • 제22권3호
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    • pp.143-147
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    • 2007
  • 본 연구는 재래 돼지의 산육 능력을 개량하기 위한 기초 자료를 제공하기 위하여 축산과학원에서 2001년부터 2006년까지 20 kg에 검정을 개시하고 70 kg에 검정을 종료하여 발육 능력을 조사한 546개의 재래 돼지 산육 능력 검정 자료를 활용하여 유전모수를 추정하였으며, 재래 돼지 사육 농가의 사양방법 개선을 위하여 2003년부터 2005년까지 조사된 재래 돼지성돈 및 검정돈 132두의 발육 단계별 체중 및 체위 조사 자료를 다중 회귀 분석하여 재래 돼지 발육 표준 자료를 제시하였다. 재래 돼지의 주요 산육 능력에 대한 유전력을 추정한 결과, 일당 증체량과 등지방 두께에서 중도의 유전력이 나타나는 것을 확인하였으며, 체중 및 체위에 대한 성장 곡선을 추정한 결과 11개월령 이후는 체장, 체고 및 흉폭의 변화가 거의 없는 것을 확인할 수 있었다. 이와 같은 결과를 통하여 본 연구에서 추정한 재래 돼지 산육 형질의 유전모수를 이용하여 육종가 추정과 후보돈 선발에 적용함으로써 유전적 개량을 증대시키고, 발육 단계별 체중 및 체위 표준 자료를 재래 돼지 능력향상 연구와 사육 방법 개선을 위한 기초 자료로 활용함으로써 재래 돼지의 산업화에 기여할 수 있을 것으로 기대된다.

Genetic Relationship of Gestation Length with Birth and Weaning Weight in Hanwoo (Bos Taurus Coreanae)

  • Hwang, J.M.;Choi, J.G.;Kim, H.C.;Choy, Y.H.;Kim, S.;Lee, C.;Kim, J.B.
    • Asian-Australasian Journal of Animal Sciences
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    • 제21권5호
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    • pp.633-639
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    • 2008
  • The genetic relationship of gestation length (GL) with birth and weaning weight (BW, WW) was investigated using data collected from the Hanwoo Experiment Station, National Institute of Animal Science, RDA, Republic of Korea. Analytical mixed models including birth year‐season, sex of calf, linear and quadratic covariates of age of dam (days) and linear covariate of age at weaning (days) as fixed effects were used. Corresponding restricted maximum likelihood (REML) and Bayesian estimates of variance components and heritability were obtained with two models; Model 1 included only direct genetic effect and Model 2 included direct genetic, maternal genetic and permanent environmental effect. All the genetic parameter estimates from REML were corresponding to the Bayesian estimates. Direct heritability estimates for GL, BW, and WW were 0.48, 0.33 and 0.25 by Model 1. From Model 2, direct and maternal heritability estimates were 0.38 and 0.03 for GL, 0.14 and 0.05 for BW, and 0.08 and 0.05 for WW. Genetic correlation estimates between direct and maternal effects were 0.05 for GL, 0.59 for BW, and 0.52 for WW. Estimates of direct genetic correlation between GL and BW (WW) were 0.44 (0.21). Positive genetic correlation of GL with BW and WW imply that selection for greater BW or WW would lead to prolonged gestation length.