• 제목/요약/키워드: Multi-level model

검색결과 1,071건 처리시간 0.025초

해저조도 변화를 이용한 폐쇄성 만의 해수순환 개선 (Improvement of Tidal Circulation in a Closed Bay using Variation of Bottom Roughness)

  • 부성윤
    • 한국해양공학회지
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    • 제19권1호
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    • pp.1-7
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    • 2005
  • Tidal circulation in a closed bay using a variation of bottom roughness was investigated through the numerical experiments based on a finite difference multi-level model. Various distributions of bottom roughness in the bay were implemented to determine their effects. It hadbeen determined that residual currents can be generated from the differences of the bottom roughness between streaming and reverse flow directions. The magnitude of residual currents and volume flow rate increase when the relative ratio of bottom roughness between streaming and reverse flow directions increase. Circulation in the closed bay is also improved by the employment of the change of bottom roughness.

A New Symmetric Multilevel Inverter Topology Using Single and Double Source Sub-Multilevel Inverters

  • Ramani, Kannan;Sathik, Mohd. Ali Jagabar;Sivakumar, Selvam
    • Journal of Power Electronics
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    • 제15권1호
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    • pp.96-105
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    • 2015
  • In recent years, the multilevel converters have been given more attention due to their modularity, reliability, failure management and multi stepped output waveform with less total harmonic distortion. This paper presents a novel symmetric multilevel inverter topology with reduced switching components to generate a high quality stepped sinusoidal voltage waveform. The series and parallel combinations of switches in the proposed topology reduce the total number of conducting switches in each level of output voltages. In addition, a comparison between the proposed topology with another topology from the literature is presented. To verify the proposed topology, the computer based simulation model is developed using MATLAB/Simulink and experimentally with a prototype model results are then compared.

Impacts of Local Land Use on Individual Modal Choice

  • Yang, Hee Jin
    • 도시과학
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    • 제9권2호
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    • pp.63-68
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    • 2020
  • In recent years, the planning of livable communities has emerged as a new paradigm. The concept of livable communities is related to both the spatial balance of working, playing, and living and the promotion of green modes of transportation, such as walking and biking. This study uses a disaggregate travel survey conducted by the Seoul Metropolitan Area in 2006. I applied a multi-level random intercept logit model to estimate the effects of land-use characteristics on the choice of green modes, holding a traveler's socio-demographic characteristics constant. The empirical results show that higher density and more mixed land-use development encourages people to walk and bike even when individuals have the same socio-economic characteristics. This paper demonstrates that land-use planning by itself can play a role in the creation of livable cities and the decline of greenhouse gas production.

다수준 모형을 이용한 활동참여와 통행행태 분석 (Multi-Level Models for Activity Participation and Travel Behaviors)

  • 최연숙;정진혁;김성호
    • 대한교통학회지
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    • 제20권7호
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    • pp.79-85
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    • 2002
  • 각 개인이 발생하는 통행 행태와 이들 가구 구성원간의 연관관계 및 영향에 대한 이해는 활동기반모형의 궁극적 목표라 할 수 있는 미래의 활동패턴 예측의 가장 기본이 되는 연구사항이라 할 수 있다. 일반적인 회귀 모형의 경우 개인의 활동/통행 패턴을 알아내기 위하여 모집단으로부터 수집되는 개인자료는 가구라는 부분모집단으로 세분화되어 계층적 구조(Hierarchical structure)의 성향을 고려하지 못하고 있어, 그 결과는 편이된 추정치를 낳는다. 따라서, 본 연구에서는 계층적 구조를 갖고 있는 자료를 이용하여 다수준 모형(Multi-Level Model)을 사용하여 개인의 활동/통행 패턴 영향을 규명해내고 활동/통행 패턴의 변화를 가구수준의 변동과 개인수준의 변동으로 나누어 분석하였다. 사용된 자료는 미국 Puget Sound 지역의 Transportation Panel 자료(PSTP)를 이용하였다. 분석 결과 개인의 통행사슬 발생모형에서 가구수준의 변동이 전체변동의 1/4를 차지하고 생계활동 지속시간 모형에서는 전체 변동의 1/8을 차지하는 등의 매우 큰 값을 나타내어 개인의 활동/통행 패턴 분석시 다수준 모형을 통한 분석의 필요성이 대두되었다.

계층 구조의 신경회로망에 의한 로보트 PTP 궤적 계획 (Robot PTP Trajectory Planning Using a Hierarchical Neural Network Structure)

  • 경계현;고명삼;이범희
    • 대한전기학회논문지
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    • 제39권10호
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    • pp.1121-1232
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    • 1990
  • A hierarchical neural network structure is described for robot PTP trajectory planning. In the first level, the multi-layered Perceptron neural network is used for the inverse kinematics with the back-propagation learning procedure. In the second level, a saccade generation model based joint trajectory planning model in proposed and analyzed with several features. Various simulations are performed to investigate the characteristics of the proposed neural networks.

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An Effective Threat Evaluation Algorithm for Multiple Ground Targets in Multi-target and Multi-weapon Environments

  • Yoon, Moonhyung;Park, Junho;Yi, Jeonghoon
    • International Journal of Contents
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    • 제15권1호
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    • pp.32-38
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    • 2019
  • In an environment where a large number of weapons are operated compared to a large number of ground targets, it is important to monitor and manage the targets to set up a fire plan, and through their multilateral analysis, to equip them with a priority order process for targets having a high threat level through the quantitative calculation of the threat level. Existing studies consider the anti-aircraft and anti-ship targets only, hence, it is impossible to apply the existing algorithm to ground weapon system development. Therefore, we proposed an effective threat evaluation algorithm for multiple ground targets in multi-target and multi-weapon environments. Our algorithm optimizes to multiple ground targets by use of unique ground target features such as proximity degree, sorts of weapons and protected assets, target types, relative importance of the weapons and protected assets, etc. Therefore, it is possible to maximize an engagement effect by deducing an effective threat evaluation model by considering the characteristics of ground targets comprehensively. We carried out performance evaluation and verification through simulations and visualizations, and confirmed high utility and effect of our algorithm.

An Internet-based computing framework for the simulation of multi-scale response of structural systems

  • Chen, Hung-Ming;Lin, Yu-Chih
    • Structural Engineering and Mechanics
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    • 제37권1호
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    • pp.17-37
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    • 2011
  • This paper presents a new Internet-based computational framework for the realistic simulation of multi-scale response of structural systems. Two levels of parallel processing are involved in this frame work: multiple local distributed computing environments connected by the Internet to form a cluster-to-cluster distributed computing environment. To utilize such a computing environment for a realistic simulation, the simulation task of a structural system has been separated into a simulation of a simplified global model in association with several detailed component models using various scales. These related multi-scale simulation tasks are distributed amongst clusters and connected to form a multi-level hierarchy. The Internet is used to coordinate geographically distributed simulation tasks. This paper also presents the development of a software framework that can support the multi-level hierarchical simulation approach, in a cluster-to-cluster distributed computing environment. The architectural design of the program also allows the integration of several multi-scale models to be clients and servers under a single platform. Such integration can combine geographically distributed computing resources to produce realistic simulations of structural systems.

시분할-코드분할 다중 접속 시스템에서 비대칭/불균질 트래픽 처리에 대한 수학적 모델 (A Mathematical Model for Asymmetrical/Heterogeneous Traffic Management in TD-CDMA System)

  • 신정채;이유태;김정호;조호신
    • 한국통신학회논문지
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    • 제30권4A호
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    • pp.259-270
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    • 2005
  • 본 논문에서는 비대칭적이고 불균질적인 트래픽이 혼재하는 멀티미디어 서비스 환경에서 시분할 듀플렉싱을 사용하는 시분할-코드분할 다중 접속(TD-CDMA) 시스템의 직교 코드와 시간의 2차원적인 자원을 효율적으로 운용하는 방법을 수학적 모델링을 통해서 알아본다. 호-계층에서는 상/하향 트래픽 부하를 2차원 벡터로 나타내어 대기 이론을 기반으로 하여 호손율을 구하며, 최소의 호손율을 보이는 최적의 스윗칭-포인트를 찾는다. 패킷-계층에서는 서킷호와 패킷호로 구분하여 대기 중인 패킷과 서비스 중인 서킷호를 2차원의 상태로 나타내어 패킷 손실율을 구한다. 또한 일정 수준 이상의 서비스 품질을 위해 요구되는 버퍼 크기를 알아본다.

A MULTIPHASE LEVEL SET FRAMEWORK FOR IMAGE SEGMENTATION USING GLOBAL AND LOCAL IMAGE FITTING ENERGY

  • TERBISH, DULTUYA;ADIYA, ENKHBOLOR;KANG, MYUNGJOO
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제21권2호
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    • pp.63-73
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    • 2017
  • Segmenting the image into multiple regions is at the core of image processing. Many segmentation formulations of an images with multiple regions have been suggested over the years. We consider segmentation algorithm based on the multi-phase level set method in this work. Proposed method gives the best result upon other methods found in the references. Moreover it can segment images with intensity inhomogeneity and have multiple junction. We extend our method (GLIF) in [T. Dultuya, and M. Kang, Segmentation with shape prior using global and local image fitting energy, J.KSIAM Vol.18, No.3, 225-244, 2014.] using a multiphase level set formulation to segment images with multiple regions and junction. We test our method on different images and compare the method to other existing methods.

다수준모형을 이용한 보행친화적환경이 공동주택 전세가격에 미치는 영향 (A Study on the Effect of Walking Environment (Characteristics) on Apartment Housing Rental Prices using Multi-Level Model)

  • 서민정;최열
    • 대한토목학회논문집
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    • 제37권5호
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    • pp.905-914
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    • 2017
  • 본 연구는 공동주택의 부산광역시 554개 국가기초구역과 1832세대의 개별세대주택을 대상으로, 기존의 건축 단지특성과 보행친화특성이 공동주택가격에 끼치는 영향에 대하여 분석하였다. 개별세대주택과 국가기초구역의 다양한 공간구역 특성을 바탕으로 보다 정확한 다층적인 분석을 위해, multi-level models 을 이용하였다. 분석 결과, Level-2의 국가기초구역별 보행친화특성은 전체분산의 약 77%를 잠재적으로 설명하였으며, 그 중 범죄안전특성에서 가장 많은 영향을 미치는 것으로 나타났다. 이것은 이전연구에서 많이 다뤄졌던 개별세대 공동주택별 분석보다, 한국에서 새롭게 제정된 국가기초구역에 따른 공간별 분석이 더욱 전체적으로 의미가 있다는 것을 의미한다. 이 연구결과는 요동치는 한국의 주택가격을 건강하고 안정적으로 유지할 수 있는 보행친화적인 도시설계 및 주택정책에 기여할 수 있을 것이라 생각한다.