Stabilization of House Collapse Simulation for Gareki Model Generation

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ◽

10.1299/jsmermd.2021.2p2-b02 ◽

2021 ◽

Vol 2021 (0) ◽

pp. 2P2-B02

Author(s):

Takuya TSUCHITANI ◽

Masahiko ONOSATO ◽

Fumiki TANAKA

Keyword(s):

Model Generation ◽

Collapse Simulation

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Progressive Collapse Simulation of Steel Frame Structures – Accomplishments and Validation Challenges

IABSE Symposium Report ◽

10.2749/222137808796106620 ◽

2008 ◽

Vol 94 (3) ◽

pp. 1-8

Author(s):

Stefan Szyniszewski ◽

Ted Krauthammer

Keyword(s):

Progressive Collapse ◽

Steel Frame ◽

Frame Structures ◽

Collapse Simulation ◽

Steel Frame Structures

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АЛГОРИТМ РАСЧЕТА ОКОН ПРОЦЕССА ФОТОЛИТОГРАФИИ НА ОСНОВЕ МОДЕЛИ РЕЗИСТА С ПОСТОЯННЫМ ПОРОГОМ

Nanoindustry Russia ◽

10.22184/1993-8578.2020.13.3s.756.757 ◽

2020 ◽

Vol 96 (3s) ◽

pp. 756-757

Author(s):

Е.С. Шамин ◽

Е.Л. Харченко

Keyword(s):

Process Window ◽

Model Generation ◽

Modeling Tools ◽

Photolithography Process

Данная работа посвящена описанию возможного алгоритма создания моделей резиста с постоянным порогом и расчета окон процесса на их основе. Приведенные изыскания реализованы в виде программного средства, использующего средства моделирования фотолитографии Mentor Graphics Calibre. This work is dedicated to the description of one of possible algorithms of constant threshold resist model generation used for photolithography process window calculation. This algorithm has been realized in the form of a program using Mentor Graphics Calibre modeling tools.

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Automatic Surrogate Model Generation and Debugging of Analog/Mixed-Signal Designs Via Collaborative Stimulus Generation and Machine Learning

Proceedings of the 26th Asia and South Pacific Design Automation Conference ◽

10.1145/3394885.3431544 ◽

2021 ◽

Author(s):

Jun Yang Lei ◽

Abhijit Chatterjee

Keyword(s):

Machine Learning ◽

Surrogate Model ◽

Model Generation ◽

Mixed Signal ◽

Stimulus Generation

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An Automatic Software Behavior Model Generation Method for Industrial Cyber-Physical System

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin45582.2020.9442085 ◽

2020 ◽

Author(s):

Weiqi Sun ◽

Wenbin Dai

Keyword(s):

Physical System ◽

Cyber Physical System ◽

Model Generation ◽

Behavior Model ◽

Automatic Software

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Analyzing Simulation Model Profile Data to Assist Synthetic Model Generation

2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT) ◽

10.1109/ds-rt47707.2019.8958699 ◽

2019 ◽

Author(s):

Sean Kane ◽

Sounak Gupta ◽

Philip A. Wilsey

Keyword(s):

Simulation Model ◽

Model Generation ◽

Profile Data ◽

Synthetic Model ◽

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Deep learning library testing via effective model generation

Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering ◽

10.1145/3368089.3409761 ◽

2020 ◽

Author(s):

Zan Wang ◽

Ming Yan ◽

Junjie Chen ◽

Shuang Liu ◽

Dongdi Zhang

Keyword(s):

Deep Learning ◽

Effective Model ◽

Model Generation

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Naive Mesh-to-Mesh Coloured Model Generation using 3D GANs

Proceedings of the Australasian Computer Science Week Multiconference ◽

10.1145/3373017.3373067 ◽

2020 ◽

Author(s):

Ryan Spick ◽

Simon Demediuk ◽

James Alfred Walker

Keyword(s):

Model Generation

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Knowledge-based relevance filtering for efficient system-level test-based model generation

Innovations in Systems and Software Engineering ◽

10.1007/s11334-005-0016-y ◽

2005 ◽

Vol 1 (2) ◽

pp. 147-156 ◽

Author(s):

Tiziana Margaria ◽

Harald Raffelt ◽

Bernhard Steffen

Keyword(s):

System Level ◽

Model Generation ◽

Efficient System ◽

Knowledge Based

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Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation

International Journal of Computer Vision ◽

10.1007/s11263-009-0284-3 ◽

2009 ◽

Vol 87 (1-2) ◽

pp. 156-169 ◽

Author(s):

Stefano Corazza ◽

Lars Mündermann ◽

Emiliano Gambaretto ◽

Giancarlo Ferrigno ◽

Thomas P. Andriacchi

Keyword(s):

Motion Capture ◽

Specific Model ◽

Model Generation ◽

Visual Hull ◽

Markerless Motion Capture ◽

Subject Specific

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Global Kinematic Model generation for n-DOF reconfigurable machinery structure

2010 IEEE International Conference on Automation Science and Engineering ◽

10.1109/coase.2010.5584632 ◽

2010 ◽

Author(s):

A M Djuric ◽

R Al Saidi ◽

W ElMaraghy

Keyword(s):

Kinematic Model ◽

Model Generation

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