• Title/Summary/Keyword: 모델 일반화

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Transforming an Entity - Relationship Model into an Object - Oriented Database Model Depending on the Role of Relationship (관계 역할에 따른 개체 - 관계 모델의 객체지향 데이타베이스 모델로 변환)

  • Kim, Sam-Nam;Lee, Hong-Ro;Ryu, Keun-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.7
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    • pp.1665-1680
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    • 1997
  • The Entity-Relationship (E-R) model is widely used not only to increase understanding between user and designer, but also to model the relationship of real world data appropriately when designing database system in many application areas. It should be then transformed into an Object-Oriented database model which gives good merits to represent and manipulate data efficiently. Therefore, a method of transforming an E-R model into an Object-Oriented database model should be studied, but without losing any semantics of concept for the E-R model. This paper not only deals with transformation rules taking as input the elements of E-R model and delivering the elements of an Object-Oriented database model, but also improves the concept of generalization and aggregation inheritance. The paper also presents a method of transformation of relationship depending on these rules. The proposed method that obtains Object-Oriented database schema from an E-R model with preserving the properties of the E-R model is shown with examples. The method presented is able to be used to the logical database design.

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Formulation of Generalized Hoek-Brown Model and Development of Rounded Hoek-Brown Model (일반화된 Hoek-Brown 모델의 정식화 및 Rounded Hoek-Brown 모델의 개발)

  • Kim Bum-Sang;Kwon O-Soon;Jang In-Sung
    • Journal of the Korean Geotechnical Society
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    • v.21 no.8
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    • pp.37-43
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    • 2005
  • Hoek-Brown model, which was developed in order to predict the behavior of rock mass, has widely been utilized and revised by many researchers to solve various problems encountered in tunnelling and slope stability analysis. However, there is no schematic investigation on the application of the Hoek-Brown model to numerical analysis including finite element simulations. In this paper the Hoek-Brown model was formulated as a constitutive model according to the procedure of generalized plasticity theory, and a Rounded Hoek-Brown model, which could overcome the numerical difficulties by modifying the edge part of the yield surface as a curve shape, was newly proposed. The new model could satisfy the requirements as an elasto-plastic constitutive soil model and follow the yield surface of the original Hoek-Brown model in the compression mode. The constitutive equation for the proposed model herein was established and presented to be applicable to the generalized nonlinear finite element analysis.

Design of a Database Query Language for Multimedia Presentation (멀티미디어 프리젠테이션을 위한 데이타베이스 질의어 설계)

  • 이중화
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.2
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    • pp.213-225
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    • 2003
  • In multimedia database system, it is very important issue how to query multimedia data and present the result of query. Also, in order to reuse the query result in other applications, multimedia database system must be considered to provide the query result which is more generalized form. In this paper, I propose a presentation model for presenting query result in multimedia database system and MMSQL based on the developed model for processing multimedia database query. This paper includes the design and implementation of MMSQL query processor. MMSQL query processor provides the presentation of query result which is SMIL (Synchronized Multimedia Integration Language) document. Therefore, MMSQL query result in this paper can be use to variant multimedia applications.

The Detection and Correction of Context Dependent Errors of The Predicate using Noun Classes of Selectional Restrictions (선택 제약 명사의 의미 범주 정보를 이용한 용언의 문맥 의존 오류 검사 및 교정)

  • So, Gil-Ja;Kwon, Hyuk-Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.1
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    • pp.25-31
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    • 2014
  • Korean grammar checkers typically detect context-dependent errors by employing heuristic rules; these rules are formulated by language experts and consisted of lexical items. Such grammar checkers, unfortunately, show low recall which is detection ratio of errors in the document. In order to resolve this shortcoming, a new error-decision rule-generalization method that utilizes the existing KorLex thesaurus, the Korean version of Princeton WordNet, is proposed. The method extracts noun classes from KorLex and generalizes error-decision rules from them using the Tree Cut Model and information-theory-based MDL (minimum description length).

Scaling theory to minimize the roll-off of threshold voltage for ultra fine MOSFET (미세 구조 MOSFET에서 문턱전압 변화를 최소화하기 위한 최적의 스켈링 이론)

  • 정학기;김재홍;고석웅
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.4
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    • pp.719-724
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    • 2003
  • In this paper, we have presented the simulation results about threshold voltage of nano scale lightly doped drain (LDD) MOSFET with halo doping profile. Device size is scaled down from 100nm to 40nm using generalized scaling. We have investigated the threshold voltage for constant field scaling and constant voltage scaling using the Van Dort Quantum Correction Model (QM) and direct tunneling current for each gate oxide thickness. We know that threshold voltage is decreasing in the constant field scaling and increasing in the constant voltage scaling when gate length is reducing, and direct tunneling current is increasing when gate oxide thickness is reducing. To minimize the roll off characteristics for threshold voltage of MOSFET with decreasing channel length, we know $\alpha$ value must be nearly 1 in the generalized scaling.

A Study on Remote Welding Control System using Neural Network (신경회로망을 이용한 원격 용접관리 시스템)

  • Kim, Ha-Na;Jung, Chan-Ho;Lee, Jun-Hee;Shin, Dong-Suk;Kang, Sung-In;Kim, Gwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.08a
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    • pp.171-174
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    • 2008
  • 최근 산업자동화의 발전으로 용접분야에서도 무인화 및 자동화 시스템 구축이 활성화되고 있으며 산업 현장에서의 인터넷의 보급이 일반화되어 TCP/IP 통신을 통한 원격관리 시스템도 일반화되고 있다. 본 논문에서는 아크 용접 시스템에서 주요한 용접인자인 용접전류, 용접전압 정보를 이용하고 신경회로망을 적용하여 용접현상을 모니터링 하였으며, 분석된 용접현상에 대한 중요한 정보를 TCP/IP 통신을 통해 원격에서 관리가 가능하도록 구현하였다. 마지막으로 다양한 용접 모니터링을 위해 효율적인 신경회로망 모델을 제시하고, 원격 모니터링 및 용접품질관리를 위한 원격관리 시스템 구현 방법을 제시한다.

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A Generalized Flow Model and Flow Charts for Predicting Mass Flow Rate through Short Tube Orifices (일반화된 오리피스의 유량예측 상관식 및 유량선도)

  • Choi Jong Min;Kim Yongchan;Kwak Jae Su;Kwon Byong Cheol
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.10
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    • pp.895-900
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    • 2004
  • With the phaseout of CFC and HCFC refrigerants, refrigeration and heat pump systems must be redesigned to match and improve system performance with alternative refrigerants. A generalized flow model for predicting mass flow rate through short tube orifices is derived from a power law form of dimensionless parameters generated by Pi-theorem. The database for developing the correlation includes extensive experimental data for R12, R22, R134a, R407C, R410A, and R502 from the open literature. The correlation yields an average deviation of $0.3\%$ and a standard deviation of $6.1\%$ based on the present database. In addition, rating charts for predicting refrigerant flow rate through short tube orifices are generated for R12, R22, R134a, R407C, R410A, and R502.

Modelling of a Spatial Distribution of the Species Richness of Fishes, Plants, and Birds Using Environmental Factors on a Wide-Ranging Scale1 - Focusing on the Major Drainage Systems in Japan - (광역스케일의 환경 인자를 이용한 어류, 식물, 조류 종수의 공간적 분포에 대한 모델링 - 일본의 주요수계를 중심으로 -)

  • Han, Mi-Deok;Lee, Gi-Bae
    • Korean Journal of Environment and Ecology
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    • v.22 no.4
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    • pp.347-355
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    • 2008
  • This study analyzed and modeled the relationships between the species richness of fish, plant, and bird and environmental factors such as climatic and geographical variables based on data collected from 109 major drainage systems in Japan from 1990 until 2005. As a result, the most parts of the distributions of the fish, plant, and bird species richness were clarified by the average annual atmospheric temperature, dimension of drainage areas, and annual rainfall, respectively. In addition, this study predicted the value of each organism species distributed in national drainage areas in Japan using GAMs(Generalized Additive Models) for each organism model created by environmental factors on a wide-ranging scale, and also mapped out the value. Mapping out the predicted value could make it easier for its managers to newly set up the areas needing to be protected to obtain diversity of the organism species and to assess their availability of conservation for bio-diversity.

Adaptive Model-Based Quantization Parameter Decision for Video Rate Control (비디오 비트율 제어를 위한 적응적 모델 기반의 양자화 변수 결정 방법)

  • Kim, Seon-Ki;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.4C
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    • pp.411-417
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    • 2007
  • The rate control is an essential component in video coding to provide better quality under given coding constraints, such as channel capacity, frame rates, etc. In general, source data cannot be described as a single distribution in a video coding, hence it can cause an exhaustive approximation problem. It drops a coding efficiency under weak channel environments, such as mobile communications. In this paper, we design a new quantization parameter decision model that is based on a rate-distortion function of generalized Gaussian distribution. In order to adaptively express various source data distribution, we decide a shape parameter by observing a ratio of samples, which have a small value. For experiment, the proposed algorithm is implemented into H.264/AVC video codec, and its performance is compared with that of MPEG-2 TM5, H.263 TMN8 rate control algorithm. As shown in simulation results, the proposed algorithm provides an improved quality rather than previous algorithms and generates the number of bits closed to the target bits.

A Deep Neural Network Model Based on a Mutation Operator (돌연변이 연산 기반 효율적 심층 신경망 모델)

  • Jeon, Seung Ho;Moon, Jong Sub
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.12
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    • pp.573-580
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    • 2017
  • Deep Neural Network (DNN) is a large layered neural network which is consisted of a number of layers of non-linear units. Deep Learning which represented as DNN has been applied very successfully in various applications. However, many issues in DNN have been identified through past researches. Among these issues, generalization is the most well-known problem. A Recent study, Dropout, successfully addressed this problem. Also, Dropout plays a role as noise, and so it helps to learn robust feature during learning in DNN such as Denoising AutoEncoder. However, because of a large computations required in Dropout, training takes a lot of time. Since Dropout keeps changing an inter-layer representation during the training session, the learning rates should be small, which makes training time longer. In this paper, using mutation operation, we reduce computation and improve generalization performance compared with Dropout. Also, we experimented proposed method to compare with Dropout method and showed that our method is superior to the Dropout one.