• Title/Summary/Keyword: context model

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Unseen Model Prediction using an Optimal Decision Tree (Optimal Decision Tree를 이용한 Unseen Model 추정방법)

  • Kim Sungtak;Kim Hoi-Rin
    • MALSORI
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    • no.45
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    • pp.117-126
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    • 2003
  • Decision tree-based state tying has been proposed in recent years as the most popular approach for clustering the states of context-dependent hidden Markov model-based speech recognition. The aims of state tying is to reduce the number of free parameters and predict state probability distributions of unseen models. But, when doing state tying, the size of a decision tree is very important for word independent recognition. In this paper, we try to construct optimized decision tree based on the average of feature vectors in state pool and the number of seen modes. We observed that the proposed optimal decision tree is effective in predicting the state probability distribution of unseen models.

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Deep Neural Network-Based Beauty Product Recommender (심층신경망 기반의 뷰티제품 추천시스템)

  • Song, Hee Seok
    • Journal of Information Technology Applications and Management
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    • v.26 no.6
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    • pp.89-101
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    • 2019
  • Many researchers have been focused on designing beauty product recommendation system for a long time because of increased need of customers for personalized and customized recommendation in beauty product domain. In addition, as the application of the deep neural network technique becomes active recently, various collaborative filtering techniques based on the deep neural network have been introduced. In this context, this study proposes a deep neural network model suitable for beauty product recommendation by applying Neural Collaborative Filtering and Generalized Matrix Factorization (NCF + GMF) to beauty product recommendation. This study also provides an implementation of web API system to commercialize the proposed recommendation model. The overall performance of the NCF + GMF model was the best when the beauty product recommendation problem was defined as the estimation rating score problem and the binary classification problem. The NCF + GMF model showed also high performance in the top N recommendation.

The Grammatical Structure of Protein Sequences

  • Bystroff, Chris
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2000.11a
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    • pp.28-31
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    • 2000
  • We describe a hidden Markov model, HMMTIR, for general protein sequence based on the I-sites library of sequence-structure motifs. Unlike the linear HMMs used to model individual protein families, HMMSTR has a highly branched topology and captures recurrent local features of protein sequences and structures that transcend protein family boundaries. The model extends the I-sites library by describing the adjacencies of different sequence-structure motifs as observed in the database, and achieves a great reduction in parameters by representing overlapping motifs in a much more compact form. The HMM attributes a considerably higher probability to coding sequence than does an equivalent dipeptide model, predicts secondary structure with an accuracy of 74.6% and backbone torsion angles better than any previously reported method, and predicts the structural context of beta strands and turns with an accuracy that should be useful for tertiary structure prediction. HMMSTR has been incorporated into a public, fully-automated protein structure prediction server.

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Dual-phase-lag model on microstretch thermoelastic medium with diffusion under the influence of gravity and laser pulse

  • Othman, Mohamed I.A.;Abd-Elaziz, Elsayed M.;Mohamed, Ibrahim E.A.
    • Structural Engineering and Mechanics
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    • v.75 no.2
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    • pp.133-144
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    • 2020
  • This investigation is to study the effect of gravitational field and diffusion on a microstretch thermoelastic medium heating by a non-Gaussian laser beam. The problem was studied in the context of the dual-phase-lag model. The normal mode analysis is used to solve the problem to obtain the exact expressions for the non-dimensional displacement components, the micro-rotation, the stresses, and the temperature distribution. The effect of time parameter, heat flux parameter and gravity response of three theories of thermoelasticity i.e. dual-phase-lag model (DPL), Lord and Shulman theory (L-S) and coupled theory (CT) on these quantities have been depicted graphically for a particular model.

Flamelet and Conditional Moment Closure Modeling for the Turbulent Recirculating Nonpremixed Flames (화염편 및 조건평균법 모델을 이용한 재순환 비예혼합 난류 화염장의 해석)

  • Kim, Gun-Hong;Kang, Sung-Mo;Kim, Yong-Mo
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.28 no.12
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    • pp.1616-1624
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    • 2004
  • The conditional moment closure(CMC) model has been implemented in context with the unstructured-grid finite-volume method which efficiently handle the physically and geometrically complex turbulent reacting flows. The validation cases include a turbulent nonpremixed CO/$H_2$/$N_2$ Jet flame and a turbulent nonpremixed $H_2$/CO flame stabilized on an axisymmetric bluff-body burner. In terms of mean flame field, minor species and NO formation, numerical results has the overall agreement with expermental data. The detailed discussion has been made for the turbulence-chemistry interaction and NOx formation characteristics as well as the comparative performance for CMC and flamelet model.

A Study on a Site Selection Model of Marine Products Centers (수산물 산지종합처리장 부지선정 모형 개발 및 적용에 관한 연구)

  • 윤민석;이준석
    • Korean Management Science Review
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    • v.18 no.2
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    • pp.73-85
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    • 2001
  • Recently increasing amount of efforts has been devoted to the improvement of logistics in the marine products industry. Yet, few studios have been conducted on the development of site selection models of marine products centers. This paper Proposes a systematic assessment model for the decision making, which is composed of a set of evaluation criteria and an appropriate evaluation method. In choosing criteria we consider completeness and comprehensiveness to reach a right solution. For more flexibility of the model in the future, this study proposes two sets of criteria according to the size of planned centers. The Analytic Hierarchy Process (AHP) is adopted in this study, since the criteria incorporate both subjective factors and objective factors and the AHP is known effective in the situation. This study then illustrates the model application with plausible alternatives. Finally, a dependency problem in the decision criteria is discussed and the Analytic Network Process (ANP) is recommended, in the context, as e solution method.

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Influence of ambient groundwater flow on DNAPL migration in a fracture network

  • 지성훈;여인욱;이강근
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.04a
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    • pp.43-46
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    • 2003
  • We consider influences of the aperture variation and the ambient groundwater flow on the migration of DNAPL within a fracture network. In context of a modified invasion percolation (MIP) growth algorithm, we formulate a mechanistic model that includes capillary and gravity forces as well as viscous forces within the DNAPL and the ambient groundwater. The MIP model is verified against laboratory experiments, which is conducted using a two-dimensional random fracture network model. The results show that the aperture variation and ambient groundwater flow can be significant factors controlling DNAPL migration path within fracture networks.

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The Effects of "Me-model" Body-size Discrepancy on Young Korean Consumer's Shopping Mood, Store Satisfaction, and Intention to Revisit Online Apparel Stores

  • Lee, Ji Young;Johnson, Kim K.P.
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.12
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    • pp.1297-1309
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    • 2012
  • This study examined the effects of "me-model" body-size discrepancy on consumer's shopping mood, store satisfaction, and intention to revisit two types of online apparel stores (one featuring thin models and one featuring average-sized models). A convenience sample of women (n = 528) participated. Structural equation modeling was used to analyze the data. Participants who were thinner or similar to the models indicated positive shopping moods, a high level of online store satisfaction, and intended to revisit the stores when compared to participants who were larger than the models. Participants preferred the 'average-sized' model. This preference was attributed to the familiarity of the model and ability to effectively evaluate merchandise. The results revealed how models can influence apparel consumers in an online context.

Offshore Outsourcing Success : An Integrated Framework

  • Kim, Jin Ki
    • Journal of Information Technology Applications and Management
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    • v.24 no.4
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    • pp.153-170
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    • 2017
  • As the digital economy goes global, firms are trying to find suppliers that can address their managerial goals and strategies. The alternatives are not confined to domestic firms. Firms have been trying to connect to foreign partners worldwide. Although offshore outsourcing grants firms various benefits, they present big cultural challenges. However, there is little research on the impact of cultural or country factors on outsourcing. The goal of this paper is to synthesize the outsourcing success literature and develop propositions for outsourcing success in the context of offshore outsourcing. This paper proposes that cultural effects should be included in evaluating the success of offshore outsourcing. Knowledge sharing and the scope of outsourcing are adopted in the base outsourcing success model from previous literature. In the extended model partnership quality is included as a mediator and organizational capability and outsourcing relationship type are also included as moderator. Finally, the integrated framework of offshore outsourcing success includes cultural factors as moderators of the relationships between outsourcing success antecedents and the success of offshore outsourcing. Reasoning for propositions, managerial implications, and future research directions are discussed.

The Developmental Study for Preliminary Model for Consulting School Curriculum (학교 교육과정 컨설팅 모형의 시론적 개발)

  • Kim, Bun-Sun;Kang, Hyeon-Suk
    • Journal of Fisheries and Marine Sciences Education
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    • v.22 no.4
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    • pp.537-552
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    • 2010
  • This paper attempts to study for preliminary model for consulting school curriculum. To accomplish this goal, the meaning of school-based curriculum, supervision of school curriculum, supervision of curriculum consulting are examined. Second, The condition for supervision of school curriculum is reviewed in line of curriculum context. They are discussed problem of supervision in Korea through the diagnosis of present condition. Third, Model development for the consulting in the school curriculum is attempted for building creative curriculum management. Finally, the conception of school curriculum consulting, feature of model, and the item of actual applications are discussed.