• Title/Summary/Keyword: 이산모델

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Steady/Unsteady Analysis of Ducted Propellers by Using a Surface Panel Method (정상 및 비정상 유동중 덕트 프로펠러의 성능해석)

  • Kim, Kwang;Pyo, Sang-Woo;Suh, Jung-Chun
    • Journal of the Society of Naval Architects of Korea
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    • v.36 no.1
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    • pp.30-36
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    • 1999
  • A surface panel method for the analysis of ducted propellers in both uniform and non-uniform onset inflow is developed. A low order, perturbation potential based panel method with an efficient numerical Kutta condition is used. The boundary surface is discretized with hyperboloidal panels and the boundary condition is applied at the panel centroids. The unsteady analysis is based on a time-step algorithm in time domain. Numerical implementation is employed into both steady and unsteady problems. The results with the resent method are shown to have good convergence on the circumferential distribution of circulation on the duct. The effect of the propeller tip clearance on the circumferential circulation on the duct is also presented Numerical results on forces and moments of the propeller and the duct are compared with other numerical results and experimental data.

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dMMS: A Novel Distributed Dynamic Mobility Management Scheme for Minimizing Signaling Costs in Proxy Mobile IPv6 Networks (프록시 모바일 IPv6 네트워크에서 시그널링 비용을 최소화하기 위한 분산된 이동성관리 기법)

  • Ko, Hyun-Woo;Jeong, Jong-Pil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.65-80
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    • 2012
  • Mobile IP is a simple and scalable global mobility solution. However, it may cause excessive signaling traffic and long signaling delay. So MN (Mobile Node) to the home network in order to reduce the number of location update signaling is necessary to reduce the delay. In this paper, the signaling overhead to be distributed evenly on the boundary of the regional network, each MN's dynamic mobility and traffic load is adjusted according to the PMIPv6 (Proxy Mobile IPv6) networks in the proposed dynamic regional mobility management scheme (dMMS). Each user in a distributed network system that offers the least amount of signaling traffic is tailored to the optimized system configuration. Signaling cost function in order to propose a new discrete analytical model is proposed, MN's mobility and packet arrival patterns. Location update and packet delivery costs to calculate the total average, the optimized area to determine the size of the network is proposed. The results of mathematical analysis, the proposed technique dMMS in terms of reducing the cost of the entire signaling were found to be excellent performance.

Research for Modeling Method of DES Using Petri Nets (패트리 넷을 이용한 DES 모델링에 관한 연구)

  • Kim, Sam-Taek;Lee, Eun-Joo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.5
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    • pp.101-106
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    • 2011
  • In this paper, our goal is to design the controller which operates a manufacturing system, discrete event system, guaranteeing user specification. In specially, based on supervisory control theory W. M. Wonham, our work consists in performing the controller using Petri nets possible parallelism. In addition, we consider the problem of allocation for resources sharing of the issues to consider when designing using Petri net. The controller can be generated by synthesis of user specification model and plant model after giving the management for the resource sharing. This created controller can control the deadlock and starvation which can occur in the case with resource sharing. Previous studies proposed the Constrained Synchronous Reachability graph to synthesis of the two Petri nets models. Therefore, we provide the controlled system which forbids a deadlock and starvation using the result of previous studies.

Steganalysis of Content-Adaptive Steganography using Markov Features for DCT Coefficients (DCT 계수의 마코프 특징을 이용한 내용 적응적 스테가노그래피의 스테그분석)

  • Park, Tae Hee;Han, Jong Goo;Eom, Il Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.8
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    • pp.97-105
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    • 2015
  • Content-adaptive steganography methods embed secret messages in hard-to-model regions of covers such as complicated texture or noisy area. Content-adaptive steganalysis methods often need high dimensional features to capture more subtle relationships of local dependencies among adjacent pixels. However, these methods require many computational complexity and depend on the location of hidden message and the exploited distortion metrics. In this paper, we propose an improved steganalysis method for content-adaptive steganography to enhance detection rate with small number features. We first show that the features form the difference between DCT coefficients are useful for analyzing the content-adaptive steganography methods, and present feature extraction mehtod using first-order Markov probability for the the difference between DCT coefficients. The extracted features are used as input of ensemble classifier. Experimental results show that the proposed method outperforms previous schemes in terms of detection rates and accuracy in spite of a small number features in various content-adaptive stego images.

Physical Database Design for DFT-Based Multidimensional Indexes in Time-Series Databases (시계열 데이터베이스에서 DFT-기반 다차원 인덱스를 위한 물리적 데이터베이스 설계)

  • Kim, Sang-Wook;Kim, Jin-Ho;Han, Byung-ll
    • Journal of Korea Multimedia Society
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    • v.7 no.11
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    • pp.1505-1514
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    • 2004
  • Sequence matching in time-series databases is an operation that finds the data sequences whose changing patterns are similar to that of a query sequence. Typically, sequence matching hires a multi-dimensional index for its efficient processing. In order to alleviate the dimensionality curse problem of the multi-dimensional index in high-dimensional cases, the previous methods for sequence matching apply the Discrete Fourier Transform(DFT) to data sequences, and take only the first two or three DFT coefficients as organizing attributes of the multi-dimensional index. This paper first points out the problems in such simple methods taking the firs two or three coefficients, and proposes a novel solution to construct the optimal multi -dimensional index. The proposed method analyzes the characteristics of a target database, and identifies the organizing attributes having the best discrimination power based on the analysis. It also determines the optimal number of organizing attributes for efficient sequence matching by using a cost model. To show the effectiveness of the proposed method, we perform a series of experiments. The results show that the Proposed method outperforms the previous ones significantly.

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Object Oriented Spatial Data Model using Geographic Relationship Role (지리 관계 역할을 이용한 객체 지향 공간 데이터 모델)

  • Lee, Hong-Ro
    • Journal of Internet Computing and Services
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    • v.1 no.1
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    • pp.47-62
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    • 2000
  • Geographic Information System(GIS) deal with data which can potentially be useful for a wida range of applications. However, the information needs of each application usually vary, specially in resolution, detail level, and representation style, as defined in the modeling phase of the geographic database design. To be able to deal with such diverse needs, the GIS must after features that allow multiple representations for each geographic entity of phenomenon. This paper addresses the problem of formal definition of the objects and their relationships on geographical information systems. The geographical data is divided in two main classes: geo-objects and geo-fields, which describe discrete and continuous representations of spatial reality. I will study the classes and the roles of relationships over geo-fields, geo-objects and nongeo-objects. Therefore, this paper will contribute the efficient design of geographical class hierarchy schema by means of formalizing attribute-domains of classes.

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A Study on Quantity Calculus in Elementary Mathematics Textbooks (초등학교 수학교과서에서의 양(量)의 계산에 대한 연구)

  • Jeong, Eun-Sil
    • Journal of Educational Research in Mathematics
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    • v.20 no.4
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    • pp.445-458
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    • 2010
  • This study intends to investigate the process of the development of quantity concept and how to deal with the quantity calculus in elementary school, and to find out the implication for improving the curriculum and mathematics textbooks of Korea. There had been the binary Greek categories of discrete number and continuous magnitude in quantity concept, but by the Stevin's introduction of decimal, the unification of these notions became complete. As a result of analyzing of the curriculum and mathematics textbooks of Korea, there is a tendency to disregard the teaching of quantity and its calculus compared to the other countries. Especially multiplication and division of quantity is seldom treated in elementary mathematics textbooks. So these should be reconsidered in order to seek the direction for improvement of mathematic teaching. And Korea's textbooks need the emphasis on the quantity calculus and on constructing quantity concept.

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변형효과와 비포물선효과를 고려한 반도체 양자세선의 전하분포와 부띠천이

  • Kim, Dong-Hun;Yu, Ju-Tae;Yu, Ju-Hyeong;Yu, Geon-Ho;Kim, Tae-Hwan
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.02a
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    • pp.383-383
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    • 2012
  • 전자소자 및 광전소자의 최적화 조건을 확립하기 위해 반도체 나노양자구조의 물리적 현상에 대한 연구가 활발히 진행되고 있다. 반도체 양자세선은 일차원 구조의 기초 물리 특성 관찰과 소자로서의 응용 가치가 높다. 양자세선을 사용한 단전자 트랜지스터, 공명터널 다이오드, 발광다이오드, 광탐지기 및 레이저 소자 제작과 관련한 연구가 활발히 진행 중에 있다. 나노양자구조들 중에서 양자우물과 양자점에 대한 실험적 및 이론적 연구가 많이 진행되었으나, 복잡한 공정 과정과 물리적 이론의 복잡함으로 양자세선에 대한 연구는 상대적으로 미흡하다. 양자세선을 이용한 전자소자와 광전소자의 효율을 증진하기 위해서는 양자세선의 전자적 성질에 대한 연구가 중요하다. 본 연구에서는 InAs/InP 양자세선에 대한 기저상태와 여기상태의 전하분포, 부띠천이 및 전자적 성질을 고찰하였다. 가변 메시 유한 차분법을 이용하여 양자세선의 이산적 모델을 확립하여 변형효과가 양자세선 구조에서 부띠에 영향을 주는지 조사하였다. 변형효과와 비포물선효과를 고려한 슈뢰딩거 방정식을 사용하여 변형 포텐셜을 계산하였으며 양자세선의 포텐셜 변화를 관찰하였다. 양자세선의 포텐셜 변화에 따라 전하구속분포, 에너지 준위 및 파동 함수를 계산하였다. 기저상태의 부띠 간에 발생하는 천이와 여기상태의 부띠 간에 발생하는 부띠 간의 엑시톤 천이 에너지 값을 계산하였다. 계산한 부띠 에너지 천이 값이 광루미네센스로 측정한 엑시톤 천이와 잘 일치하였다. 이 결과는 양자세센의 이차원적인 전자적 구조를 이해하고 양자세선을 사용하여 제작된 전자소자 및 광전소자의 전자적 성질을 연구하는데 도움을 주며, 저전력 나노양자소자를 제작하는 기초지식을 제공하는 중요한 역할을 할 것이다.

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Papers : Flow Noise due to the Impinging Vortex to the Chamfered Forward Step (논문 : 모따기 된 전향계단에 부딪치는 와류에 의한 유동소음)

  • Yu,Gi-Wan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.1
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    • pp.28-35
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    • 2002
  • In cavity flow, the rectangular step generates so strong sound that many researchers have investigated method to suppress the nois during interaction between vortical flow and rectangular forward step. In this study the flow noise from the vortex motion in two-dimentional low Mach number flow past a forward step with various chamfering angle is calculated numerically. Inviscid incompressible discrete vortex model and matched asymptotic expansion(MAE) theory are applied to obtain the inner flow field and the outer noise field. Both source acoustic pressure and sound intensity are obtained with various chamfering height, chamfering angle and initial vortex position. The pressure amplitude is most suppressed when the chamfering angle is between $15^{\circ}C$ and $30^{\circC}$ at the chamfering length of 30% of the step height.

Fault Diagnosis Method for Automatic Machine Using Artificial Neutral Network Based on DWT Power Spectral Density (인공신경망을 이용한 DWT 전력스펙트럼 밀도 기반 자동화 기계 고장 진단 기법)

  • Kang, Kyung-Won
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.2
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    • pp.78-83
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    • 2019
  • Sounds based machine fault diagnosis recovers all the studies that aim to detect automatically abnormal sound on machines using the acoustic emission by these machines. Conventional methods that use mathematical models have been found inaccurate because of the complexity of the industry machinery systems and the obvious existence of nonlinear factors such as noises. Therefore, any fault diagnosis issue can be treated as a pattern recognition problem. We propose here an automatic fault diagnosis method of hand drills using discrete wavelet transform(DWT) and pattern recognition techniques such as artificial neural networks(ANN). We first conduct a filtering analysis based on DWT. The power spectral density(PSD) is performed on the wavelet subband except for the highest and lowest low frequency subband. The PSD of the wavelet coefficients are extracted as our features for classifier based on ANN the pattern recognition part. The results show that the proposed method can be effectively used not only to detect defects but also to various automatic diagnosis system based on sound.