2009 IEEE International Conference on Automation Science and Engineering最新文献_第5页

Fault detection of Air Intake Systems of SI gasoline engines using mean value and within cycle models 基于均值和循环内模型的汽油机进气系统故障检测

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234095

S. Sengupta, Soumen De, Anirban Krishna Bhattacharya, S. Mukhopadhyay, A. K. Deb

引用次数: 6

Automated trajectory synthesis from animation data using trajectory optimization 利用轨迹优化从动画数据中自动合成轨迹

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234179

Elliot R. Johnson, T. Murphey

{"title":"Automated trajectory synthesis from animation data using trajectory optimization","authors":"Elliot R. Johnson, T. Murphey","doi":"10.1109/COASE.2009.5234179","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234179","url":null,"abstract":"Trajectory optimization is a technique for finding dynamically feasible trajectories of a mechanical system that approximate a desired trajectory. These tools provide an excellent abstraction from a system's dynamics, allowing a user to animate a robot without considering dynamic complexities, including coupling, instability, and uncontrollable subspaces. The animator focuses on the more relevant ideas of expression and communication. The trajectory optimization bridges the gap between animator and robot, automatically projecting trajectories into the system's reachable set and determining the necessary inputs to the system. These techniques handle closed kinematic chains, constraints, and unstable systems without modification. We give a detailed overview of the optimization technique and present an example from the autonomous marionette project. A waving motion is animated for a two-dimensional arm and the corresponding dynamically-feasible trajectory is found for an under-actuated marionette arm. The trajectory is tested on robotic marionette platform and correctly approximates the original waving animation. The marionette arm is an excellent test bed because it is under-actuated, highly nonlinear, and highly coupled.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121078833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A factorial hidden markov model (FHMM)-based reasoner for diagnosing multiple intermittent faults 基于因子隐马尔可夫模型(FHMM)的多断续故障诊断

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234134

Satnam Singh, A. Kodali, K. Pattipati

引用次数: 15

Towards a method for harmonizing information standards 一种协调信息标准的方法

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234089

Xenia Fiorentini, Rachuri Sudarsan, S. Ray, Ram D. Sriram

{"title":"Towards a method for harmonizing information standards","authors":"Xenia Fiorentini, Rachuri Sudarsan, S. Ray, Ram D. Sriram","doi":"10.1109/COASE.2009.5234089","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234089","url":null,"abstract":"Designers and engineers use various engineering authoring tools, such as CAD, CAE, and PDM,, to generate information objects (engineering objects). On the business side, enterprise level business process modelers use various business authoring tools, such as ERP, CRM, and LCA, to generate information objects (business objects). These information objects, both engineering and business, are represented using information standards. These standards are used to exchange information about engineering and business systems for enterprise level interoperability. One of the main problems of designers, engineers and process modelers is the selection of appropriate standards for interoperability. To ensure enterprise level interoperability, it is absolutely critical that information standards are compared and harmonized as there are overlapping and dissimilar standards available. In this paper, we will sketch a method towards comparing and harmonizing standards based on: 1) informal approach, 2) typology of standards, 3) use-case scenarios, and 4) ontologies. The method is explained using some engineering and business standards.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115366471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Micro-nano-integration based on automated serial assembly 基于自动化串行装配的微纳集成

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234150

T. Wich, C. Edeler, C. Stolle, S. Fatikow

引用次数: 5

An Automatic decission support system for medical instrument suppliers using fuzzy multifactor based approach 基于模糊多因素的医疗器械供应商自动决策支持系统

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234188

A. Chaki, T. Chattopadhyay

引用次数: 3

Towards fully automated phototransfection 走向全自动光转染

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234165

D. Cappelleri, Á. Halász, J. Sul, T. Kim, J. Eberwine, Vijay R. Kumar

引用次数: 0

Model-based controller for anesthesia automation 基于模型的麻醉自动化控制器

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234169

J. A. Méndez, Santiago Torres Álvarez, J. Reboso, Hector Reboso

引用次数: 5

Customized learning algorithms for episodic tasks with acyclic state spaces 具有非循环状态空间的情景任务的定制学习算法

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234189

T. Bountourelis, S. Reveliotis

引用次数: 1

Robust models for manufacturing capacity planning under demand uncertainty 需求不确定性下制造能力规划的鲁棒模型

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234180

A. Karnik, Chandrashekar S. Tallichetty, Atul Saroop

{"title":"Robust models for manufacturing capacity planning under demand uncertainty","authors":"A. Karnik, Chandrashekar S. Tallichetty, Atul Saroop","doi":"10.1109/COASE.2009.5234180","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234180","url":null,"abstract":"The objective of this work is to develop mathematical models and tools to aid decision makers in devising capacity plans for a manufacturing network in face of uncertainty in future demand. A manufacturing network is constituted by a set of plants serving a set of markets with a set of products. It is specified in terms of a product portfolio for each market and a product portfolio, resource capacities and a set of markets to serve, for each plant. Based on this definition, we address the following question: Given a manufacturing network, determine when to change the manufacturing capacity, where to change it and by how much to change it. Our approach is to devise a plan that is robust with respect to certain perturbations in demand forecasts, rather than one that is optimal with respect to the inherent uncertainty in demand. Thus the idea we follow is to superimpose perturbations on demand forecasts used by decision-makers, and devise a plan that can withstand those variations. Representing manufacturing capacity through the notion of operating configurations, we formulate dynamic optimization models to address the problem.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130658036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2