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WASE International Conference on Information engineering (ICIE 2009)

作者： Zhong Hui Qian Zhi-hong Sun Da-yang Zhang Ding-guo Jilin University Changchun Jilin CN School of Communication Engineering Jilin University China College of Computer Science and Technology Jilin University China Institute of Robotics School of Mechanical Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9780769536798

In this paper, a kind of price-driven load balancing assignment mechanism in wireless sensor network is proposed. A logic price function is set for each node, which serves as a reference for the assignment of data traffic when the node is selecting a router. The price-driven situation is analyzed, and the selection criteria of logic price function are given. When the data is forwarded, the node can affect the selection of traffic assigning nodes via regulating the price function according to the data size. Theoretical analysis and simulation results show that the assignment mechanism proposed can effectively control the load balance between the nodes. Moreover, the price strategy of nodes can be changed dynamically, and the traffic assignment of entire network can be affected using this mechanism.

关键词： Price-Driven traffic assignment load balance

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Coordination of senior design teams using internet technology - A case study

Coordination of senior design teams using internet technolog...

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2009 ASEE Annual Conference and Exposition

作者： Rowley, Blair Department of Biomedical Industrial and Human Factors Engineering College of Engineering and Computer Science Department of Geriatrics Boonshoft School of Medicine United States Freshman Engineering and Computer Science Program Wright State University United States

This fall a new approach was undertaken in our senior design course that uses tools available on the internet to gave the students means for improved communications between members within a team. Being reported on is the use of student laptop computers in the class room coupled with a number of internet resources for communication, shared documents, a free 3d CAD program, and a team structure the students bought into and work within. These changes provided the team members methods to rapidly share ideas, contribute to reports, check on each other's progress, and receive feedback from the course instructor. The individual teams were allowed to choose which communication resources they wanted to use. Their choices and reactions to them are provided. The perceptions of the student teams to this new experience are also provided in the conclusions. © American Society for engineering Education, 2009.

关键词： Students

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Online Support Vector Regression based value function approximation for Reinforcement Learning

Online Support Vector Regression based value function approx...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Dong-Hyun Lee Vo Van Quang Sungho Jo Ju-Jang Lee Robotics Program KAIST Daejeon Korea School of Electrical Engineering and Computer Science KAIST Daejeon Korea KAIST School of Electrical Engineering and Computer Science Daejeon Korea

This paper proposes the online Support Vector Regression (SVR) based value function approximation method for Reinforcement Learning (RL). This approach conserves the Support Vector Machine (SVM)'s good property, the generalization which is a key issue of function approximation. Online SVR can do incremental learning and automatically track variation of environment with time-varying characteristics. Using the online SVR, we can obtain the fast and good estimation of value function and achieve RL objective efficiently. Throughout simulation tests, the feasibility and usefulness of the proposed approach is demonstrated by comparison with SARSA and Q-learning.

关键词： Function approximation Learning Support vector machines State estimation Electronic mail Quadratic programming Industrial electronics computer science robotics and automation Testing

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Non-rigid structure from motion using quadratic deformation models

Non-rigid structure from motion using quadratic deformation ...

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2009 20th British Machine Vision Conference, BMVC 2009

作者： Fayad, João Del Bue, Alessio Agapito, Lourdes Aguiar, Pedro M.Q. School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom Institute of Systems and Robotics Instituto Superior Técnico Lisbon Portugal

ISBN: (纸本)1901725391

In this paper we present a new approach to the modelling of non-rigid 3D surfaces from the observation of 2D motion in images captured by an orthographic camera. Our aim is to characterize strong variations of the shape due, for instance, to bending motions. Such motions are hard to describe with previously used deformation models, such as the linear basis shapes model, which would tend to overestimate the dimensionality of the deformable data. Our approach uses a quadratic deformation model which is able to represent non-linear non-rigid motions such as bending, stretching, shearing and twisting. The model is bilinear and thus fits easily into previous schemes for Non-Rigid Structure from Motion (NRSfM). We formulate the NRSfM problem using a non-linear optimization scheme to minimize image reprojection error and recover the camera parameters, the 3D shape at rest and the quadratic deformation transformations. Our experiments with synthetic and real data show examples in which methods based on the linear basis shape model perform poorly or do not converge and instead the quadratic model is able to achieve accurate 3D reconstructions. © 2009. The copyright of this document resides with its authors.

关键词： Rigid structures

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Motion estimation for a mobile robot based on real-time stereo vision system

Motion estimation for a mobile robot based on real-time ster...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Zhongli, Wang Xueshan, Gao Baochang, Zhang Hao, Wu State Key Lab. of Robotics and System Harbin Institute of Technology Harbin China School of Computer Science Beijing Institute of Technology Beijing China Intelligent Robotics Institute Beijing Institute of Technology Beijing China School of Automation Science and Electric Engineering Beihang University Beijing China

ISBN: (纸本)9781424441310

Vision-based motion estimation is a key technique in autonomously mobile robot. This paper presents an integrated method for motion estimation of the mobile robot based on floor plane extraction. The whole processes include floor plane extraction, pose estimation of the onboard stereo vision system and motion estimation of the mobile robot. First, based on disparity map obtained from the onboard real-time stereo vision system, a two-stage method is used for fast floor plane extraction. Then all the points belong to the floor plane are transformed from disparity space to Euclidean space, and a simple least squares method is employed to fit the floor plane. The fitting parameters of the floor plane are used for the pose estimation of the onboard stereo vision system. Finally, the motion of the mobile robot is estimated with the tracking results of the points on floor plane. The proposed motion estimation method is intended to be used in the motion control of a wheeled mobile robot. Experimental results in real environments are presented. ©2009 IEEE.

关键词： Mobile robots

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Fluidic intraocular lens with a large accommodation range

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IEEE Photonics Technology Letters 2009年第5期21卷 304-306页

作者： Qiao, Wen Tsai, Frank S. Cho, Sung Hwan Yan, Huimin Lo, Yu-Hwa for Optical Instrument Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering Jacobs School of Engineering University of California San Diego CA 92093-0407 United States Materials Science and Engineering Program Jacobs School of Engineering University of California San Diego San DiegoCA 92093-0418 United States

Fluidic lenses with tunable focal distances were experimented in a human eye model as intraocular lenses (IOLs). Fluidic IOL shows superior performance to fixed or optic-shift accommodating IOLs because of their much wider accommodation range. Our results demonstrate that fluidic IOL can achieve an accommodation range of eight diopters, equivalent to the performance of young adults. Finite-element analysis shows that the required force for the fluidic IOL to achieve the desired amount of accommodation is comparable to the force generated from ciliary muscles of human eyes, as an initial indication that an implanted fluidic IOL may be controllable by eye muscles. © 2009 IEEE.

关键词： Intraocular lenses

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Stochastic approach on a simplified OCC model for uncertainty and believability

Stochastic approach on a simplified OCC model for uncertaint...

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IEEE International Symposium on Computational Intelligence in robotics and Automation (CIRA)

作者： Won Hwa Kim Jeong Woo Park Won Hyong Lee Woo Hyun Kim Myung Jin Chung Robotics Program KAIST Daejeon South Korea School of Electrical Engineering and Computer Science Division of Electrical Engineering KAIST Daejeon South Korea

ISBN: (纸本)9781424448081

As robots step into the human's daily lives, interaction and communication between human and robot is becoming essential. For this social interaction with humans, we propose an emotion generation model considering simplicity, believability and uncertainty. First, OCC model is simplified and then stochastic approach on emotion decision algorithm for believability and uncertainty is applied. The proposed model is implemented on a 3D robot expression simulator that can express emotions through its facial expression, gesture, led and so on. A demo of the model is provided as a result.

关键词： Stochastic processes Uncertainty Cognitive robotics Human robot interaction Intelligent robots Electronic mail Databases Atherosclerosis Humanoid robots Computational modeling

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Abstracts from the 2011 Joint Annual Meeting of the Society for Northwestern Vertebrate Biology and Washington Chapter of the Wildlife Society, Held at the Wesley Inn, Gig Harbor, Washington, March 23–25, 2011

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Northwestern Naturalist 2011年第2期92卷 136-166页

作者： Michael J. Adams Christopher A. Pearl Jessica Y. Adkins Daniel D. Roby Ladd Bayliss Peter J. Loschl Donald E. Lyons Yasuko Suzuki Hannah E. Anderson Sarah T. Hamman Keith B. Aubry Catherine M. Raley John J. Rohrer Eric C. Lofroth Scott H. Fitkin Michael L. Best Hartwell H. Welsh Jamie B. Bettaso Don T. Ashton Hartwell H. Welsh Scott McBain Lindsay M. Biga Andrew R. Blaustein Susan F. Brady R. Steven Wagner Daniel J. Selski James E. Johnson R. Bruce Bury Wynn W. Cudmore Hartwell H. Welsh Nathan D. Chelgren Tara Chestnut Chaucney W. Anderson Julie Kirshtein Megan T. Cook Tiffany S. Garcia Stephen Corn Erin Muths Amanda Kissel Rick Scherer Eric Delvin Jonathan D. Bakker Peter W. Dunwiddie Diana L. Dishman Deborah A. Duffield Harriet R. Huber Dyanna M. Lambourn Karen M. Dvornich Greg Falxa Gary M. Fellers Patrick M. Kleeman David Miller Brandon Fessler Jason T. Irwin Daniel D. Beck R. Steven Wagner Marc P. Hayes John A. Frew Christian E. Grue Chris R. Friesen Robert T. Mason Stevan J. Arnold Suzanne Estes Tiffany S. Garcia Katie M. Dugger Josh Johnson Mike Rochelle A. J. Kroll Stephanie S. Gervasi Caren S. Goldberg Dan Davis Erica Bree Rosenblum Bill Bosworth Lisette P. Waits Purnima Govindarajulu Gregory A. Green Steve Negri Jennifer R. Griffiths Daniel E. Schindler Christian E. Grue Karen M. Dvornich Adam G. Hansen David A. Beauchamp Casey M. Baldwin Marc P. Hayes Gretchen Padgett-Flohr Blake R. Hossack Winsor H. Lowe Paul Stephen Corn Aaron N. Johnston Kris Kendell Dave Prescott Scott Stevens Peter M. Kiffney Carol Volk Kerensa A. King Christian E. Grue James M. Grassley Andrew J. Kroll Matt Hane Josh Johnston Mike Rochelle Stuart Farber Niels Leuthold Michael J. Adams John P. Hayes Bo Li Michael T. Brett Kent B. Livezey Ilon E. Logan Teresa J. Lorenz Kimberly A. Sullivan Amanda V. Bakian Deanna Lynch Nancy Thomas Krysten Schuler Steven Jeffries Joshua Malt Kelly R. McAllister Joanne P. Schuett-Hames Aimee P. McIntyre Jay E. Jones Eric M. Lund Frithiof T. Waterstrat Jack N. Giovanini Stephen D. Duke Marc P. Hayes US Forest Service Pacific Northwest Research Station Olympia WA 98512 kaubry@fs.fed.us US Forest Service Okanogan-Wenatchee National Forest Methow Valley Ranger District Winthrop WA 98862 British Columbia Ministry of Environment Victoria BC V8W9M1 Washington Department of Fish and Wildlife Winthrop WA 98862 Humboldt State University 1 Harpst St. Arcata CA 95521 addsmike14@*** US Forest Service Pacific Southwest Research Station 1700 Bayside Dr. Arcata CA 95521 hwelsh@fs.fed.us US Fish and Wildlife Service Arcata Field Office 1655 Heindon Road Arcata CA 95521 jamie_bettaso@fws.gov Redwood Sciences Laboratory US Forest Service1700 Bayview Drive Arcata CA 99521 dashton@fs.fed.us hwelsh@fs.fed.us McBain &amp Trush 980 7th Street Arcata CA 95521 scott@*** Oregon State University Environmental Sciences Graduate Program Corvallis OR 97331 lindsay.biga@science.oregonstate.edu Oregon State University Department of Zoology Corvallis OR 97331 US Geological Survey Forest and Rangeland Ecosystem Science Center 3200 SW Jefferson Way Corvallis OR 97331 buryb@usgs.gov Life Science Department Chemeketa Community College Salem OR 97309 wynn.cudmore@chemeketa.edu US Forest Service Redwood Sciences Laboratory 1700 Bayview Drive Arcata CA 95521 hwelsh@fs.fed.us USGS Oregon Water Science Center 2130 SW 5th Avenue Portland OR 97207 chestnut@usgs.gov USGS Headquarters 12201 Sunrise Valley Drive Reston VA 20192 US Geological Survey Northern Rocky Mountain Science Center Aldo Leopold Wilderness Research Institute 790 E. Beckwith Avenue Missoula MT 59801 scorn@usgs.gov US Geological Survey Fort Collins Science Center 2150 Centre Avenue Building C Fort Collins CO 80526 Department of Biological Sciences Simon Fraser University Burnaby BC V5A 1S6 Colorado State University Department of Fishery and Wildlife Biology Fort Collins CO 80523 The Nature Conservancy 120 Union Ave SE Olympia WA 98501 edelvin@tnc.org School of Forest Resources University of Washington Seattle WA

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Time series mining approach for noninvasive intracranial pressure assessment: An investigation of different regularization techniques

Time series mining approach for noninvasive intracranial pre...

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2009 WRI World Congress on computer science and Information engineering, CSIE 2009

作者： Wu, Shaozhi Xu, Peng Asgari, Shadnaz Bergsneider, Marvin Hu, Xiao Department of Neurosurgery David Geffen School of Medicine University of California Los Angeles CA United States Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles CA United States School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9780769535074

A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV) is translated to the estimated errors by the mapping function for each entry in the database. In this paper, three different mapping function solutions, linear least squares (LLS), truncated singular value decomposition (TSVD) and standard Tikhonov regularization (STR) are systemically tested to compare the possible effects of different solutions on the non-invasive ICP estimation. The conducted comparison demonstrated that the selection of mapping function solution actually influences the estimation. Among the tested three solutions for mapping function, TSVD and STR show better ICP estimation performance with smaller ICP errors than LLS. © 2008 IEEE.

关键词： Flow velocity

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Conditional IMS Learning Design Generation using User Modeling and Planning Techniques

Conditional IMS Learning Design Generation using User Modeli...

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IEEE International Conference on Advanced Learning Technologies

作者： Hernandez, Jorge Baldiris, Silvia Santos, Olga C. Fabregat, Ramon Boticario, Jesus G. System Engineering Program Corporación Universitaria de la Costa Colombia Institute of Informatics and Aplications (IIiA) Universidad de Girona Spain ADeNu Research Group Artificial Intelligence Department Computer Science School Spain

ISBN: (纸本)9781424444823

Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling.

关键词： Specifications

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