• Title/Summary/Keyword: probabilistic modeling

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Implementation of Korean TTS System based on Natural Language Processing (자연어 처리 기반 한국어 TTS 시스템 구현)

  • Kim Byeongchang;Lee Gary Geunbae
    • MALSORI
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    • no.46
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    • pp.51-64
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    • 2003
  • In order to produce high quality synthesized speech, it is very important to get an accurate grapheme-to-phoneme conversion and prosody model from texts using natural language processing. Robust preprocessing for non-Korean characters should also be required. In this paper, we analyzed Korean texts using a morphological analyzer, part-of-speech tagger and syntactic chunker. We present a new grapheme-to-phoneme conversion method for Korean using a hybrid method with a phonetic pattern dictionary and CCV (consonant vowel) LTS (letter to sound) rules, for unlimited vocabulary Korean TTS. We constructed a prosody model using a probabilistic method and decision tree-based method. The probabilistic method atone usually suffers from performance degradation due to inherent data sparseness problems. So we adopted tree-based error correction to overcome these training data limitations.

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Probabilistic Modeling of Fiber Length Segments within a Bounded Area of Two-Dimensional Fiber Webs

  • Chun, Heui-Ju
    • Communications for Statistical Applications and Methods
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    • v.18 no.3
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    • pp.301-317
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    • 2011
  • Statistical and probabilistic behaviors of fibers forming fiber webs of all kinds are of great significance in the determination of the uniformity and physical properties of the webs commonly found in many industrial products such as filters, membranes and non-woven fabrics. However, in studying the spatial geometry of the webs the observations must be theoretically as well as experimentally confined within a specified unit area. This paper provides a general theory and framework for computer simulation for quantifying the fiber segments bounded by the unit area in consideration of the "edge effects" resulting from the truncated length segments within the boundary. The probability density function and the first and second moments of the length segments found within the counting region were derived by properly defining the seeding region and counting region.

Protectability Evaluation of Distance Relay based on a Probabilistic Method for Transmission Network (오차확률 기반 송전계통 보호계전기 보호도 평가방법 연구)

  • Zhang, Wen-Hao;Choi, Myeon-Song;Lee, Seung-Jae
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.286_287
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    • 2009
  • In this paper, the protectability of distance relay is furtherly researched. Based on the probabilistic modeling of the measurement errors, the protectability of three zones is presented in detail by considering their different protection aims denoted by sensitivity and selectivity. The optimal setting for the each zone can be obtained to provide a reference for the practical application.

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A Probabilistic Method Based Protectability Evaluation of Distance Relay in Transmission Networks

  • Zhang, Wen-Hao;Choi, Myeon-Song;Lee, Seung-Jae;Lim, Il-Hyung;Rim, Seong-Jeong
    • Journal of Electrical Engineering and Technology
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    • v.3 no.3
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    • pp.346-353
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    • 2008
  • This paper defines the concept of “protectability” for the performance evaluation of distance relay considering its sensitivity and selectivity. The paper starts from the probabilistic modeling of the errors, and based on this model, a detailed explanation of protectability calculation for each zone of the distance relay is presented. An effect of the Weighting Rate and the Measurement Deviation on the protectability evaluation is also given. By considering this effect, the optimization of relay setting can be realized. The proposed method is applied to a typical model system to show its effectiveness

Probabilistic Solution to Stochastic Soil Water Balance Equation using Cumulant Expansion Theory (Cumulant 급수이론을 이용한 추계학적 토양 물수지 방정식의 확률 해)

  • Han, Suhee;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.25 no.1
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    • pp.112-119
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    • 2009
  • Based on the study of soil water dynamics, this study is to suggest an advanced stochastic soil water model for future study for drought application. One distinguishable remark of this study is the derivation of soil water dynamic controling equation for 3-stage loss functions in order to understand the temporal behaviour of soil water with reaction to the precipitation. In terms of modeling, a model with rather simpler structure can be applied to regenerate the key characteristics of soil water behavior, and especially the probabilistic solution of the derived soil water dynamic equation can be helpful to provide better and clearer understanding of soil water behavior. Moreover, this study will be the future cornerstone of applying to more realistic phenomenon such as drought management.

Protectability Evaluation of Distance Relay based on a Probabilistic Method for Transmission Network (오차확률 가반 송전계통 보호계전기 보호도 평가방법 연구)

  • Zhang, Wen-Hao;Choi, Myeon-Song;Lee, Seung-Jae
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.29-30
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    • 2008
  • This paper defines a concept of "protectability" for the performance evaluation of distance relay considering its sensitivity and selectivity. The paper starts from the probabilistic modeling of the errors, and based on this model, a detailed explanation of protectability calculation for each zone of the distance relay is presented. An effect of the Weighting Rate and the Measurement Deviation on the protectability evaluation is also given. By considering this effect, the optimization of relay setting can be realized. The proposed method is applied to a typical model system to show its effectiveness.

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Determination of Economic Inventory Quantity under Probabilistic Demands and Cancellation of Orders in Production System with Two Different Production Speeds (이중생산속도를 가지는 생산시스템에서 확률적인 수요와 주문취소를 고려한 경제적 재고량 결정)

  • Lim, Si Yeong;Hur, Sun;Park, You-Jin
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.313-320
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    • 2014
  • We consider the problem to find economic inventory quantity of a single commodity under stochastic demands and order cancellation. In contrast to the traditional economic production quantity (EPQ) model, we assume that once the amount of inventory reaches to a predetermined level of quantity then the production is not halted but its production speed decreases until the inventory level drops to zero. We establish two probabilistic models representing the behaviors of both the high-production period and low-production period, respectively, and derive the relationship between the level of inventory and costs of production, cancellation, and holding, from which the quantity of economic inventory is obtained.

Adaptive Gaussian Mixture Learning for High Traffic Region (혼잡한 환경에서 적응적 가우시안 혼합 모델을 이용한 배경의 학습 및 객체 검출)

  • Park Dae-Yong;Kim Jae-Min;Cho Seong-Won
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.2
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    • pp.52-61
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    • 2006
  • For the detection of moving objects, background subtraction methods are widely used. An adaptive Gaussian mixture model combined with probabilistic learning is one of the most popular methods for the real-time update of the complex and dynamic background. However, probabilistic learning approach does not work well in high traffic regions. In this paper, we Propose a reliable learning method of complex and dynamic backgrounds in high traffic regions.

A Probabilistic Study on Thickness Effect of Fracture Toughness in Heterogeneous Brittle Materials (불균질 취성재료 파괴인성에 미치는 두께효과의 확률적 연구)

  • Kim, Am-Kee;Koh, Sung-Wi;Jung, Gyoo-Dong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.4
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    • pp.1356-1362
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    • 1996
  • Fracture toughness of heterogeneous brittle materials such as poly crystalline ceramics used to present the size (thickness) effect as well as statistically distributed results. There is belief that both(size effect and scatter) must be associated with each other. However, no generally accepted theory has been established so far. Using statistical approach, a probabilistic modeling for the fracture toughness which describes the thickness effect was attempted in this paper, Weibull distribution of specific fracture energy(SFE)at local areas and Griffith criterion are applied to the model. In addition, the newly developed model was verified with experimental results of alumina.

Architectural model driven dependability analysis of computer based safety system in nuclear power plant

  • Wakankar, Amol;Kabra, Ashutosh;Bhattacharjee, A.K.;Karmakar, Gopinath
    • Nuclear Engineering and Technology
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    • v.51 no.2
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    • pp.463-478
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    • 2019
  • The most important non-functional requirements for dependability of any Embedded Real-Time Safety Systems are safety, availability and reliability requirements. System architecture plays the primary role in achieving these requirements. Compliance with these non-functional requirements should be ensured early in the development cycle with appropriate considerations during architectural design. In this paper, we present an application of system architecture modeling for quantitative assessment of system dependability. We use probabilistic model checker (PRISM), for dependability analysis of the DTMC model derived from system architecture model. In general, the model checking techniques do not scale well for analyzing large systems, because of prohibitively large state space. It limits the use of model checking techniques in analyzing the systems of practical interest. We propose abstraction based compositional analysis methodology to circumvent this limitation. The effectiveness of the proposed methodology has been demonstrated using the case study involving the dependability analysis of safety system of a large Pressurized Water Reactor (PWR).