• 제목/요약/키워드: Multilevel analysis model

검색결과 88건 처리시간 0.025초

Automatic Generation of Pronunciation Variants for Korean Continuous Speech Recognition (한국어 연속음성 인식을 위한 발음열 자동 생성)

  • 이경님;전재훈;정민화
    • The Journal of the Acoustical Society of Korea
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    • 제20권2호
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    • pp.35-43
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    • 2001
  • Many speech recognition systems have used pronunciation lexicon with possible multiple phonetic transcriptions for each word. The pronunciation lexicon is of often manually created. This process requires a lot of time and efforts, and furthermore, it is very difficult to maintain consistency of lexicon. To handle these problems, we present a model based on morphophon-ological analysis for automatically generating Korean pronunciation variants. By analyzing phonological variations frequently found in spoken Korean, we have derived about 700 phonemic contexts that would trigger the multilevel application of the corresponding phonological process, which consists of phonemic and allophonic rules. In generating pronunciation variants, morphological analysis is preceded to handle variations of phonological words. According to the morphological category, a set of tables reflecting phonemic context is looked up to generate pronunciation variants. Our experiments show that the proposed model produces mostly correct pronunciation variants of phonological words. Then we estimated how useful the pronunciation lexicon and training phonetic transcription using this proposed systems.

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The Relationship Between Error Management Culture and Job Satisfaction-organizational Commitment - The Analysis of Interaction Effect on Social Worker's Psychological Capital - (오류관리문화와 직무만족 및 조직몰입과의 관계 - 사회복지사의 심리적 자본과의 상호작용효과 분석 -)

  • Lee, Sang-Chul
    • Korean Journal of Social Welfare
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    • 제63권2호
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    • pp.81-107
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    • 2011
  • The purpose of the study is to examine the effect of error management culture and psychological capital on job satisfaction and organizational commitment from social workers. This study was focused on the relationship between error management culture, psychological capital and job satisfaction and organizational commitment, controlled organizational fairness. The data was collected from social workers in Seoul, Kyunggi areas using stratified sampling method. A total of 564 social workers and 89 human service organizations were finally used for multilevel analysis. The survey had conducted for 18 days, from October 27 to November 13 in 2009 by mail. The major finding of this study are as follows. First, interaction effect between error management culture and psychological capital was significant job satisfaction and organizational commitment in positive direction. Second, main effect of error management culture in human service organizations was positively significant job satisfaction and organizational commitment on social workers. So it was important to enhance the level of error management culture in order to increase the job satisfaction and organizational commitment. Third, main effect of psychological capital on social workers was positively significant job satisfaction and organizational commitment. According to the results of this study, it was suggested the theoretical and practical implications for increasing and strengthen the error management culture and psychological capital.

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A Study on the Performance Analysis of Asynchronous Repeated FH/MFSK System (비동기 FH/MFSK 반복전송 시스템의 성능분석)

  • 지영호;한영렬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제13권2호
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    • pp.120-126
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    • 1988
  • In this paper the performance of the asynchronous Repeated FH/MFSK system for the CDMA(Code Division Multiple Access) was analyzed. Actually there was no difference in the probabilities of hit of frequency between Random Coding method and frequency hopping pattern vector suggested by Einarsso. Actual situation was adopted as a model in thie simulation, on the assumption thet;a:there was no Noise, Multipath propagation, b:there was only mutual interference. c:the number of users M was given. Also it was found that there is almost no deviation between the value calculated from the formula of word error probability expressed by bound and that obtained from this simulation.

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Finite Element Modeling and Nonlinear Analysis of Lumbosacrum Including Partial Ilium and Iliolumbar Ligaments (부분 장골과 장요추 인대를 포함한 요추 천추골의 유한 요소 모델링 및 비선형 해석)

  • Ha, S.K.;Lim, J.W.
    • Journal of Biomedical Engineering Research
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    • 제28권3호
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    • pp.397-409
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    • 2007
  • Owing to needs of biomechanical comprehension and analysis to obtain various medical treatment designs which are related with the spine in order to cure and diagnose LBP patients, the FE modeling and nonlinear analysis of lumbosacrum including a partial ilium and iliolumbar ligaments, were carried out. First, we investigated whether the geometrical configuration of vertebrae displayed by DICOM slice files is regular and normal condition. After constructing spinal vertebrae including a partial ilium, a sacrum and five lumbars (from L1 to L5)with anatomical shape reconstructed using softwares such as image modeler and CAD modeler, we added iliolumbar ligaments, lumbar ligaments, discs and facet joints, etc.. And also, we assigned material property and discretized the model using proper finite element types, thus it was completely modeled through the above procedure. For the verification of each segment, average sagittal ROM, average coronal ROM and average transversal ROM under various loading conditions(${\pm}10Nm$), average vertical displacement under compression(400N), ALL(Anterior Longitudinal Ligament) and PLL(Posterior Longitudinal Ligament) force at L12 level, strains of seven ligaments on sagittal plane at L45 level and maximal strain of disc fibers according to various loading conditions at L45 level, etc., they were compared with experimental results. For the verification of multilevel-lumbosacrum spine including partial ilium and iliolumbar ligaments, the cases with and without iliolumbar ligaments were compared with ROM of experiment. The results were obtained from analysis of the verified FE model as follows: I) Iliolumbar ligaments played a stabilizing role as mainly posterior iliolumbar ligaments under flexion and as both posterior and anterior iliolumbar ligaments of one side under lateral bending. 2) The iliolumbar ligaments decreased total ROM of 1-8% in total model according to various motion conditions, which changed facet contact forces of L5S level by approximately 0.8-1.4 times and disc forces of L5S level by approximately 0.8-1.5 times more than casewithout ilioligaments, under various loading conditions. 3) The force of lower discs such as L45 and L5S was bigger than upper discs under flexion, left and right bending and left and right twisting, except extension. 4) It was predicted that strains of posterior ligaments among iliolumbar ligaments would produce the maximum 16% under flexion and the maximum 10% under twisting. 5) It's expected that this present model applies to the development and design of artificial disc, since it was comparatively in agreement with the experimental datum.

The Effects of Middle School Students' Belongingness Orientation on their Psychological Adaptation and Friend Networks: A Short-term Longitudinal Social Network Analysis (중학생의 소속감 지향성이 심리적 적응 및 친구 네트워크에 미치는 영향력 비교: 소셜 네트워크 분석을 활용한 단기-종단적 분석)

  • Lee, Seungjin;Ko, Young-gun
    • Korean Journal of School Psychology
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    • 제18권2호
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    • pp.175-195
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    • 2021
  • Intimate friendships and a sense of belonging have positive effects on adolescent's psychological adaptation. Belongingness orientation is the motivation to belong. It is divided into growth orientation and deficit-reduction orientation, both of which have different effects on psychological adaptation and interpersonal characteristics. This study was conducted to determine how adolescents' belongingness orientation affected their psychological adaptation and friend networks. Students in their second year of middle school were surveyed both at the beginning and end of the spring semester. Friend networks were measured through network centrality analysis. Multilevel regression analysis produced three major results. The first major result was that the correlations between growth orientation and loneliness and between growth orientation and stress at the beginning of the spring semester was statistically significant even when friend network centrality was included in the analysis model, but the correlation between deficit-reduction orientation and loneliness and between deficit-reduction orientation and stress were not statistically significant. The second major result was that growth orientation significantly predicted friend network centrality at the end of the spring semester. This effect was significant even when friend network centrality at the beginning of the semester and psychological adaptation level at the end of the spring semester were added to the analysis model. The third major result was that the correlation between friend network centrality at the end of the semester and psychological adaptation level was statistically significant even when psychological adaptation levels at the beginning and the end of the semester were included in the analysis model. This study is meaningful in that it had a short-term longitudinal design and empirically demonstrated the relationship between belongingness orientation and psychological adaptation level of adolescents and between belongingness orientation and the development of friend networks. Lastly, we discussed limitations of this study and provided suggestions for future research.

An Optimum Design of Steel Frames by Second Order Elastic Analysis (2차 탄성해석법에 의한 강뼈대 구조물의 최적설계)

  • Park, Moon-Ho;Jang, Chun-Ho;Kim, Ki-Wook
    • Journal of the Korea institute for structural maintenance and inspection
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    • 제10권2호
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    • pp.123-133
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    • 2006
  • The main objective of this study is to develop an optimization algorithm of framed structures with rigid and various semi-rigid connections using the multilevel dynamic programming and the sequential unconstrained minimization techniques (SUMT). The second-order elastic analysis is performed for steel framed structures. The second order elastic analysis is developed based on nonlinear beam-column theory considering the bowing effect. The following semi-rigid connections are considered; double web angle, top-seat angle and top-seat angle with web angle. We considered the three connection models, such as modified exponential, polynomial and three parameter model. The total weight of the structural steel is used as the objective function in the optimization process. The dimensions of steel cross section are selected as the design variables. The design constraints consist of strength requirements for axial, shear and flexural resistance and serviceability requirements.

Artificial Intelligence Algorithms, Model-Based Social Data Collection and Content Exploration (소셜데이터 분석 및 인공지능 알고리즘 기반 범죄 수사 기법 연구)

  • An, Dong-Uk;Leem, Choon Seong
    • The Journal of Bigdata
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    • 제4권2호
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    • pp.23-34
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    • 2019
  • Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

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Effects of the Community Environmental Characteristics on Drinking Problems of Adults: A Multilevel Analysis (지역사회의 환경적 특성이 개인의 음주문제에 미치는 영향에 관한 다수준분석)

  • Kim, Kwang Kee;JeKarl, Jung;Kwon, Yong Mi;Park, Min Soo
    • Korean Journal of Health Education and Promotion
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    • 제29권5호
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    • pp.103-113
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    • 2012
  • Objectives: This study aims to identify the effects of environmental characteristics of the community on adults' drinking problems with held constant effects of characteristics of drinkers themselves. Methods: A multi-level regression analysis was employed to differentiate the variances accounted for by measurements both at individual and group levels. Data on individual demographic, behavioral, and mental health status were obtained from the Community Health Survey conducted in 2009 in the province of Kyunggido, which include 41,376 respondents aged 19 and over. This study included 28,335 adults who were classified as drinkers. They were from 45 communities(si, gun, or gu) for which data on contextual characteristics were collected by secondary data available on local government websites and KOSIS(Korea Statistical Information System). Results: Multi-level analyses showed that the variance of the dependent variable, harmful use of alcohol measured by alcohol use disorder identification test was independently accounted for by variance of independent variables at group level, including number of on-premises alcohol outlet per inhabitant and divorce rate, with held other independent variables of the model controlled. Conclusions: This study confirms that in order to prevent and reduce harms caused by harmful use of alcohol requires restricting physical availability of alcohol in the community where the drinker lives.

The Effects of Individual Characteristics, School Factors, and Community Factors on Adolescents School Violence Behavior -A multilevel analysis- (청소년의 학교폭력 가해행동에 영향을 미치는 요인 -다층모형 분석-)

  • Lee, Ji Hyeon
    • Journal of the Korean Society of Child Welfare
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    • 제55호
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    • pp.143-171
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    • 2016
  • This study investigated the effects of individual characteristics, school factors, and community factors on adolescent school violence behaviors. Data from a total of 1,777 middle school students from 50 schools in the Seoul and Gyeonggi regions were used for analysis. A hierarchical generalized linear modeling was employed to conduct a two-level analysis. Results showed that adolescents' individual factors, including attitudes toward violence, parental attachment, child abuse experiences, and affiliation with delinquent peers, as well as school factors including teacher's abusive classroom discipline, affected adolescent school violence behaviors. In addition, neighborhood disorder was found to be significantly positively correlated with adolescents' school violence. The results of this study suggest that for an understanding of school violence and to prepare countermeasures accordingly, integrated consideration of various environmental contexts in adolescents' daily lives, such as family, school, and community environments, is necessary. A multidimensional, integrated intervention plan to effectively resolve school violence based on these research results is discussed.

Clinical Risk Factor Analysis for Breast Cancer: 568,000 Subjects Undergoing Breast Cancer Screening in Beijing, 2009

  • Pan, Lei;Han, Li-Li;Tao, Li-Xin;Zhou, Tao;Li, Xia;Gao, Qi;Wu, Li-Juan;Luo, Yan-Xia;Ding, Hui;Guo, Xiu-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5325-5329
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    • 2013
  • Objectives: Although there are many reports about the risk of breast cancer, few have reported clinical factors including history of breast-related or other diseases that affect the prevalence of breast cancer. This study explores these risk factors for breast cancer cases reported in Beijing in 2009. Materials and Methods: Data were derived from a Beijing breast cancer screening performed in 2009, of 568,000 women, from 16 districts of Beijing, all aged between 40 and 60 years. In this study, multilevel statistical modeling was used to identify clinical factors that affect the prevalence of breast cancer and to provide more reliable evidence for clinical diagnostics by using screening data. Results and Conclusion: Those women who had organ transplants, compared with those with none, were associated with breast cancer with an odds ratio (OR)=65.352 [95% confidence interval (CI): 8.488-503.165] and those with solid breast mass compared with none had OR=1.384 (95% CI: 1.022-1.873). Malignant tendency was strongly associated with increased risk of breast cancer, OR=207.999(95% CI: 151.950-284.721). The risk of breast cancer increased with age, $OR_1$=2.759 (95% CI: 1.837-4.144, 56-60 vs. 40-45), $OR_2$=2.047 (95% CI: 1.394-3.077, 51-55 vs. 40-45), $OR_3$=1.668 (95% CI: 1.145-2.431). Normal results of B ultrasonic examination show a lower risk among participants, OR= 0.136 (95% CI: 0.085-0.218). Those women with ductal papilloma compared with none were associated with breast cancer, OR=6.524 (95% CI: 1.871-22.746). Therefore, this study suggests that clinical doctors should pay attention to these high-risk factors.