检索结果-内蒙古大学图书馆

International Conference on Advanced Materials and Manufacturing Processes for Strategic Sectors, ICAMPS 2015

作者： Madhan Kumar, P. Jacob, Elizabeth Savithri, S. Suneeth, G.S. Dept. of Mechanical Engineering Govt. College of Technology Coimbatore India CSIR-NIIST Computational Modelling and Simulation Thiruvanathapuram India

ISBN: (纸本)9783038355366

Casting simulation packages are used to check a design for its castability. A better starting design should need fewer simulation cycles to arrive at a defect-free component thus cutting computation and manpower costs. Quantitative design of the feeding system is done by an analysis of the solidification pattern of the 3D model of the cast component. A clustering algorithm uses the solidification time/temperature data from the simulation to divide the casting into 3D feeding sections. The sections are created by following hotspots surrounded by areas of decreasing solidification time. Feeders are built by the feeder design module of AutoCAST casting design software. The initial simulation as well as the efficacy of the rigging is tested through the advanced simulation module FLOW+ of AutoCAST X. An industrial case study illustrates the software pipeline in a virtual foundry trial. © (2015) Trans Tech Publications, Switzerland.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

An architecture to support integrated manikin-based simulations

An architecture to support integrated manikin-based simulati...

引用

47th Summer Computer simulation Conference, SCSC 2015, Part of the 2015 Summer simulation Multi-Conference, SummerSim 2015

作者： Leathrum, James F. Mielke, Roland R. Audette, Michel McKenzie, Frederick Armstrong, Robert K. Miller, Geoffrey T. Cross, Andrew E. Scerbo, Mark W. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University United States Sentara Center for Simulation and Immersive Learning Eastern Virginia Medical School United States Dept. of Psychology Old Dominion University United States

ISBN: (纸本)9781510810594

A radically new approach to the design and implementation of high-technology, computer-driven manikin-based simulation environments for medical training is proposed. The approach utilizes a novel, component-based manikin hardware architecture currently under research for the U.S. military. A new distributed software architecture is proposed in this paper that facilitates interoperability among manikin components and provides the potential to easily integrate other real or virtual devices normally present in a real medical facility. © 2015 Society for modeling & simulation International (SCS).

关键词： Interoperability

来源：评论

学校读者我要写书评

暂无评论

Towards a hybrid virtual/physical nuss procedure surgical simulator 4

Towards a hybrid virtual/physical nuss procedure surgical si...

引用

4th International Workshop on Innovative simulation for Health Care, IWISH 2015

作者： Obeid, Mohammad F. Heo, Eun-Sil Rechowicz, Krzysztof J. Kelly, Robert E. McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University Norfolk United States Virginia Modeling Analysis and Simulation Center Old Dominion University Norfolk United States Pediatric Surgery Children's Hospital of the King's Daughters and Eastern Virginia Medical School NorfolkCT United States

ISBN: (纸本)9788897999539

Surgical simulation is embraced by many for training and skill transfer purposes of non-trivial minimally invasive procedures. Some systems utilize haptic feedback within an anatomically-correct virtual environment whereas others use manikins, synthetic components and box trainers. This paper explores the challenges and implications of reproducing the Nuss procedure on both a solely-virtual and a solely-physical environment. This work then describes a roadmap for a hybrid system that employs a best-of-both approach integrating both physical and virtual schemes to achieve a mixed reality implementation of the primary steps of the Nuss procedure.

关键词： Mixed reality

来源：评论

学校读者我要写书评

暂无评论

An Architecture to Support Integrated Manikin-Based simulations 15

An Architecture to Support Integrated Manikin-Based Simulati...

引用

simulation Multiconference

作者： James F. Leathrum, Jr. Roland R. Mielke Michel Audette Frederick McKenzie Robert K. Armstrong Geoffrey T. Miller Andrew E. Cross Mark W. Scerbo Dept. of Modeling Simulation and Visualization Engineering Old Dominion University Sentara Center for Simulation and Immersive Learning Eastern Virginia Medical School Dept. of Psychology Old Dominion University

ISBN: (纸本)9781510810594

关键词： Manikin-based training Medical training environment simulation architecture System interoperability Manikins ARCHITECTURE Building construction Integrate Interoperability simulating medical facility Distributed software hardware architecture Real number Medical Education

来源：评论

学校读者我要写书评

暂无评论

A framework for simulation-based task analysis - The development of a universal task analysis simulation model

A framework for simulation-based task analysis - The develop...

引用

IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)

作者： Anastasia Angelopoulou Konstantinos Mykoniatis Waldemar Karwowski Modeling & Simulation Graduate Program University of Central Florida Orlando FL USA Dept. of Industrial Engineering and Management Systems University of Central Florida Orlando FL USA

Over the last decades there has been a growing interest in modeling human performance and analyzing human activity and human operator behavior to improve system design. A variety of tools and approaches which are based on task analysis methods and tools have been proposed. As technology advances and tasks become more demanding, human work changes increasing the need to create new methodologies and tools for task analysis to face the new challenges. The main aim of this research is to develop a new framework and model for simulation of human tasks performed by individuals with varying levels of skills, considering operator workload and human errors. In order to achieve this goal and fill the current gaps, a review of existing task analysis methods and tools is conducted and a model named UTASiMo is proposed. In addition, the Unified modeling Language is used to describe the conceptual model and illustrate the different constructs and concepts included in the model. Finally, we present a case study and a preliminary simulation model designed in AnyLogic TM .

关键词： Unified modeling language Analytical models Training Data models Conferences Decision making Human factors

来源：评论

学校读者我要写书评

暂无评论

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

引用

arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

来源：评论

学校读者我要写书评

暂无评论

A mathematical model for representing farmer decision processes

A mathematical model for representing farmer decision proces...

引用

Summer Computer simulation Conference, SCSC 2014, Part of the 2014 Summer simulation Multiconference, SummerSim 2014

作者： Vegesana, Kasi Bharath McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University United States

ISBN: (纸本)9781632667335

This paper presents a mathematical modeling technique that allows for formulating a farmer decision problem. We use fuzzy logic and binary integer programming respectively to represent the factors and decision utilities in the problem. We will briefly look at the data requirements for this model. The techniques used in determining the fuzzy rule base will be discussed. We will show the application of artificial neural networks for determining the rule base in our model. A mathematical representation of the system will be created, which can act as an approximation for any problem formulation. Finally, we will use all these techniques on a sample problem, which uses simulated data.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

Incorporating reflection for real-time multi-configuration haptic-interactive virtual environments

Incorporating reflection for real-time multi-configuration h...

引用

Summer Computer simulation Conference, SCSC 2014, Part of the 2014 Summer simulation Multiconference, SummerSim 2014

作者： Obeid, Mohammad F. Rechowicz, Krzysztof J. McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University United States

ISBN: (纸本)9781632667335

Real-time mirror reflection is employed in many virtual reality applications to achieve visuo-haptic collocation. Its use, however, necessitates adjustments to the original model as well any used input devices to compensate for changes due to image reversion. This paper introduces a design and implementation of a generic configuration component for virtual environments that adjusts image characteristics and haptic interfaces to accommodate such setups while preserving the properties and features of the original model. Furthermore, this work executes running multiple display viewports for the same virtual environment synchronously. This work accomplishes a significant step in the development of a surgical simulator for the Nuss Procedure surgery performed to correct Pectus Excavatum, a congenital deformity of the anterior chest wall.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

25th Annual computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

引用

BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

关键词：

来源：评论

学校读者我要写书评

暂无评论

26th Annual computational Neuroscience Meeting (CNS*2017) of the Organization for computational Neuroscience Antwerp, Belgium, July 15-20, 2017

引用

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：