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1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

作者： Wang, Chin-Yeh Chen, Gwo-Dong Liu, Chen-Chung Liu, Baw-Jhiune Taiwan e-Learning and Digital Archives Program Office National Central University Taiwan Department of Computer Science and Information Engineering National Central University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Department of Computer Science and Engineering Yuan-Ze University Taiwan

ISBN: (纸本)9781605587578

Studies indicate that making learners feel good is important only minor to clear knowledge transformation. Many studies have tried to use virtual humans as a part of interface in learning systems to increase the effect of instructions. Based on social interaction and pedagogical theories, many e-learning systems use animated films or virtual reality to boost human-computer engagement and ease their negative emotions. However, affective learning systems still need much research to improve their functionalities and usability. This study proposed a convenient approach to develop an emotionally interactive learning system;learners can express their emotions by mouse-clicking while learning. A virtual human was created to empathically react to learners in proactive and reactive ways to encourage and persuade them into persistent learning and help achieve their goals. Experimental results show that, averagely, subjects can tell virtual human's emotions and agree to its empathic reactions. Persuasion conducted by virtual human could not increase subjects' learning time, but could significantly increase their completion rate of exercises. Copyright 2009 ACM.

关键词： Learning systems

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A Seamless Handover Scheme with Pre-registration in NEMO

A Seamless Handover Scheme with Pre-registration in NEMO

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International Conference on Advanced information networking and Applications Workshops (AINAW)

作者： Ying-Hong Wang Kuo-Feng Huang Hsin-Yi Ho Master's Program Networking and Communication Department of Computer Science and Information Engineering Tamkang University Taipei Taiwan

IETF(Internet engineering Task Force) proposed the management mechanism of NEMO (network mobility) to support network mobility. The mobility management of NEMO is an extension of mobile IPv6 (MIPv6), and it inherits also all the drawbacks of MIPv6 such as inefficient routing, high handover latency, packet loss rate, and so on. The purpose of method which is based on the public transportations (e.g. Train, MRT, Bus etc.) with fixed path as NEMO application solved the handover latency problem and packet lost problem. We propose a seamless handover scheme with pre-registration to solve these problems. The proposed handover scheme can decrease handover latency and packet lost in session for NEMO. The aim is to procure seamless communication when the whole network is movement.

关键词： Mobile communication Delay Transportation Communication equipment IP networks Application software computer science computer network management Conference management engineering management

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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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Achieving compelling student comprehension of complex information structures for both on-site and on-line courses

Achieving compelling student comprehension of complex inform...

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2008 ASEE Annual Conference and Exposition

作者： Uhlig, Ronald Farahani, Alireza Viswanathan, Shekar Evans, Howard Sotelo, Mark National University Department of Computer Science and Information Systems School of Engineering and Technology National University Wireless Communications for the Master ot Science in Wireless Communications Program International Telecommunications Academy School of Engineering and Technology Department of Applied Engineering Lead Faculty for Engineering Management and Homeland Security and Safety Engineering Academic Computing for National University

Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data structures. These are multidimensional and can be difficult to grasp quickly. Supported by a Hewlett-Packard (HP) Technology for Teaching grant, the School of engineering and Technology at National University has embarked on a project to enable students to grasp these complex concepts more quickly and easily, using continuous dialog among students and instructors as the structures are first introduced and then examined from multiple perspectives through real-time interaction among students, small groups, and instructors. HP Wireless Tablet PCs are used to discuss and experiment with diagrams and processes in realtime. This allows combining lectures and problem-solving sessions into a single class session. Our hypothesis is that: 1) an in-depth learning of theory is accomplished, and 2) student engagement is enhanced. Presentation of theory by the instructor is integrated with application while the theory is still in the student's short-term memory. Students no longer have to wait for a separate session such as a recitation session to apply the concepts. This approach often takes less time. In addition to accelerating the learning process, expert instructors find this approach more rewarding as students grasp new concepts more quickly. Analysis of data captured from both students and instructors are presented to support our hypotheses, and our results are compared with similar research carried out by other universities. In addition, the level of interaction enabled by the use of HP Tablets in on-line classes is discussed. The best teaching tools available in existing on-line teaching platforms are compared with the additional tools available in on-site courses when every student has a wireless Tablet PC and specific recommendations are made to on-line teachi

关键词： Students

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Using Bayesian network for planning course registration model for undergraduate students

Using Bayesian Network for planning course registration mode...

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Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST

作者： Pathom Pumpuang Anongnart Srivihok Prasong Praneetpolgrang Somchai Numprasertchai Department of Computer Science Faculty of Science Kasetsart University Bangkok Thailand Master of Science Program in Information Technology Graduate School Sripatum University Bangkok Thailand Department of Computer Engineering Faculty of Engineer Kasetsart University Bangkok Thailand

ISBN: (纸本)9781424414895

The objective of this study is to propose a model for planning course registration by using a data mining technique: Bayesian network. The proposed model can be used to predict the sequences of courses to be registered by undergraduate students whose majors are computer science or engineering. The data set was obtained from student enrollments and include GPA and grades in each subject for first and second year students from a private university in Thailand. Evaluations show that the predictive power of this model is acceptable. The implications from this studypsilas findings suggest that the model can be applied for advising students in planning courses to be registered in each semester. Further, the model appears to be useful for improving curriculum development in order to fit both studentspsila and university requirements.

关键词： Bayesian methods Biological system modeling computers Education Computational modeling Brain modeling Brain models

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Real-time recognition of traffic signs using opponent color filters

Real-time recognition of traffic signs using opponent color ...

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14th World Congress on Intelligent Transport Systems, ITS 2007

作者： Baba, Kyoko Hirai, Yuzo Master's Program in Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan

ISBN: (纸本)9781617387777

In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.

关键词： Traffic signs

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Waters network's potential to transform environmental engineering education

Waters network's potential to transform environmental engine...

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114th Annual ASEE Conference and Exposition, 2007

作者： Eschenbach, Elizabeth Montgomery, Jami Johnson, James Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States WATERS Network - CLEANER Project Office Network Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States American Academy of Environmental Engineers United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute of Technology United States National Research Council U. S. Air Force United States NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Energy Environmental and Chemical Engineering Washington University St. Louis United States Environmental Studies Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States Education Planning Committee National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University or Illinois United States Knowledge and Learning Systems Group NCSA United States

The WATERS network (WATer and Environmental Research Systems network) will be an integrated real-time distributed observing system which will enable academic and government scientists, engineers, educators, and practitioners to advance effective management of our nation's water resources by understanding human interactions with water and the natural and built environment. WATERS will provide easily accessible real time environmental data as well as analysis tools to engineers, scientists, educators, K- graduate students and policymakers so they can better understand how water quantity, quality and related components of the hydrologic cycle are impacted by natural and human influences. The WATERS strategic plan will be completed by July 2007 and requires constituent input. This paper describes the draft Conceptual Design and the Education Plan of WATERS network. This paper will highlight the potential impact of WATERS on undergraduate and graduate environmental engineering education in order to elicit input from the environmental engineering education community on how WATERS network could better meet the future needs of undergraduate and graduate students and educators. More information can be found at ***. © American Society for engineering Education, 2007.

关键词： Water resources

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AGQ: A model of student question generation supported by one-on-one educational computing

AGQ: A model of student question generation supported by one...

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International Conference on computer Supported Collaborative Learning

作者： Chang, Sung-Bin Tung, Kuan-Jung Huang, Hsien-Ming Chan, Tak-Wai Department of Computer Science and Information Engineering National Central University Taiwan Degree Program of E-Learning National Chiao Tung University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan

ISBN: (纸本)0805857826

One-on-one educational computing refers to I student I computing device, which means every student in a group uses a digital learning device. In this paper, we present a model of student question generation called AGQ, which stands for "asking a good question," supported by one-on-one educational computing in the classroom settings. AGQ is designed for engaging students in a challenging learning activity that potentially involves higher-level cognitive processing operations. We shall describe the general design of AGQ, called Product Evolution, and that the current version is a variation of it.

关键词： one-on-one educational computing peer question generation question posing

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Elementary science classroom learning with wireless response devices implementing active and experiential learning

Elementary science classroom learning with wireless response...

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IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education (WMUTE)

作者： Yu-Fen Chen Chen-Chung Liu Ming-Hung Yu Sung-Bin Chang Yun-Chen Lu Tak-Wai Chan Department of Computer Science Information Engineering National Central University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Degree Program of E-Learning College of Science National Chiao Tung University Taiwan Chu-Wei Elementary School Taiwan

Active learning enables learners to actively engage in learning. Learning not only transfers material to students for learning, but also encourages greater mental engagement and more extensive student-student and student-instructor interaction than does a typical lecture class. Peer instruction (PI) engages students in active learning by achieving continuous instructor-student interaction in a physics lecture. However, the methodologies and the effectiveness of implementing PI for elementary school students have seldom been clarified. This study explores the possibility of adopting PI in an elementary science classroom. The research considerations of the study are as follows: (1) how wireless technology can enhance PI in elementary science classroom; (2) how a teacher can engage students in pre-class reading, and (3) whether elementary school students have sufficient social skills to perform a PI discussion? These questions are examined by observing how the PI pedagogical model worked with a wireless response system in elementary science classroom. Based on the observation, this study also proposes a way of improving the PI learning experience of elementary school students by adding experiments and observations during peer discussion to explain concepts and phenomena in physics.

关键词： Educational institutions Physics Chemical elements computer science Materials science and technology Electronic learning Probes Astrochemistry Physiology Astronomy

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Improvement of convergence speed for subband adaptive digital filter using the multirate repeating method

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1995年第10期78卷 37-45页

作者： Kiya, H Nishikawa, K Ashihara, K Faculty of Technology Tokyo Metropolitan University Hachioji Japan 192-03 Members Kiyoshi Nshikawa graduated in 1990 from the Department of Electrical Engineering Tokyo Metropolitan University where he completed the Master's Program in 1992 and affiliated with Nippon Steel Co. Computer Systems Laboratory. He was a Research Associate in 1993 in the Department of Elect. Inf. Eng. Tokyo Metropolitan University engaged in research onadaptive signal processing and information source coding. He is a member of the IEEE. Associate Member

The subband adaptive system, where the idea of the filter bank is applied to the adaptive filter, has a feature that a higher-order adaptation can be reduced to lower-order adaptations. The reduction of the order of the adaptive filter is related closely to the number of channels and the decimation ratio. The order of adaptive digital filter (ADF) is decreased greatly when the number of subbands is increased, and the decimation ratio is increased up to the maximum value. Then, however, the number of coefficient-updates per unit time is decreased, which results in the deterioration of the convergence Speed. From such a viewpoint, this paper discusses a method to improve the convergence speed, which is deteriorated in the subband adaptive system, due to the decimation. The idea of the proposed method is to utilize effectively the data which have been discarded in the decimation process and to improve the convergence speed. It is called the multirate repeating method. As the first step, the multirate repeating method is applied to the conventional subband adaptive system and the convergence speed is improved. Then a subband adaptive system is introduced in which the multirate repeating method can be utilized more effectively. As a result, a faster convergence is realized while retaining the ADF order-reduction effect, which is an advantage of the subband adaptive system.

关键词： adaptive signal processing subband adaptive system multirate repeating method rational decimation

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