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YES: A NSF S-STEM scholarship program experience at the University of Central Florida

YES: A NSF S-STEM scholarship program experience at the Univ...

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2010 ASEE Annual Conference and Exposition

作者： Massi, Lisa Georgiopoulos, Michael Young, Cynthia Ducharme, Alfred Ford, Cameron Small, Kim Lancey, Patrice Bhati, Divya College of Engineering and Computer Science University of Central Florida United States School of Electrical Engineering and Computer Science University of Central Florida United States Department of Mathematics College of Sciences University of Central Florida United States Management Department UCF College of Business UCF Center for Entrepreneurship and Innovation United States NSF-funded S-STEM Program University of Central Florida United States

According to a study conducted by J. D. Angrist (MIT) and colleagues1 involving 1,600 students at a large Canadian university (the equivalent of an American state university with heavily subsidized tuition), the combination of participation in (a) a scholarship program and (b) academic support services resulted in higher grade achievement and retention for females (but both males and females used support services and peer advising at higher rates), compared to groups of students who participated in either (a) or (b) but not both. A report by the Educational Policy Institute2 lists financial aid as one critical factor that affects the decision to pursue a college degree and success in degree attainment for minorities. This paper reports the progress of a persistence-to-graduation scholarship program funded under the National science Foundation Scholarships (NSF) in science, Technology, engineering, and Mathematics (S-STEM) program. We named our program YES (Young Entrepreneur and Scholar) scholarship program. The goal of YES is to enable academically talented, financially needy students to enter the workforce (Entrepreneurship Path) or to pursue a graduate degree (Research Path) following the completion of a baccalaureate degree in a targeted STEM discipline. This goal is facilitated through scholarships offered by the program to qualified student participants in the last two college years (maturing years - juniors and seniors), a mentorship program (faculty and industry mentors), and enhanced educational opportunities (Distinguished Speaker seminar series, Symposium, learning community). The program continues the efforts of and recruits from another NSF-funded program, science, Technology, engineering, and Mathematics Talent Expansion (STEP) program, which focuses on the first two student college years (early years- freshman and sophomore) and has been successful in retaining STEM students at significantly higher rates than academically similar STEM students at the

关键词： Students

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Successful women engineering students: A survey assessment to guide our efforts to boost women's retention

Successful women engineering students: A survey assessment t...

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2010 ASEE Annual Conference and Exposition

作者： Knight, Daniel Corner Sr., Katie Louie, Beverly Shoals Sr., Amber Cabrales, Cindy Integrated Teaching and Learning Program College of Engineering and Applied Science University of Colorado Boulder United States Department of Electrical and Computer Engineering University of Colorado Boulder United States Center College of Engineering and Applied Science University of Colorado Boulder United States College of Engineering and Applied Science University of Colorado Boulder United States Student Affairs Division Student Organizations Finance Office University of Colorado Boulder United States

In the fall of 2009, a college of engineering and applied science at a public, Rocky Mountain region university embarked on a new inclusive excellence initiative called Broadening Opportunity through Leadership & Diversity (BOLD). The BOLD Center is a new K-16 organizational structure to increase the performance, representation and retention through graduation of students who are underrepresented in engineering, including women, students of color, low income and first generation college attendees. A BOLD Center focus of concern is the declining retention rate of women that has dipped below that of men recently in our College. A survey consisting of 41 questions was distributed to all undergraduate engineering women in the college that incorporates scales from the Assessing Women in engineering (AWE) assessment and from the Academic Pathways of People Learning engineering Survey (APPLES). Five research questions were posed in the survey design: • Do women express a loss of interest during their program? • Is there a chilly climate for women in the college? • Do women?s self-efficacy levels change during the program? • Do academic performance levels play a role in women?s retention in engineering? • Do women have an adequate support structure in the college? The survey generated 116 responses from 2 solicitations, with women students represented from every major across all four undergraduate years. An unintended outcome was that the sample largely consists of women with high grade point averages. Thus, this paper offers insight on top performing women?s self-efficacy and their views on the college climate, the benefits from various support systems - advising, mentoring, social and financial - and the existing programming and initiatives that can play a role in their achievements. The results indicate that women students are interested and efficacious with respect to obtaining an engineering degree, and that the college climate is, on average, warm and accepting. Howev

关键词： Students

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Two-Layer Hidden Markov Models for Multi-class Motor Imagery Classification

Two-Layer Hidden Markov Models for Multi-class Motor Imagery...

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Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging (WBD)

作者： Heung-Il Suk Seong-Whan Lee Department of Computer Science and Engineering Korea University Seoul South Korea Department of Brain and Cognitive Engineering Korea University Seoul South Korea

Classifiers in a high dimensional space based on the signals of multiple electrodes in EEG-based BCIs suffer from the curse of dimensionality due to the limited training dataset. In order to tackle this problem, we design a framework of two-layer hidden Markov models (HMMs) for probabilistic classification of EEG signals. We first independently model the characteristics of EEG signals embedded in each channel for different motor imagery tasks in the lower-layer, and then represent the holistic task-related dynamic EEG patterns in the upper-layer by considering the relationships among channels. From the experimental results based on the dataset II-a of BCI Competition IV (2008), we demonstrated that our method achieved high session-to-session transfer results and was superior to previous methods.

关键词： Hidden Markov models Electroencephalography Feature extraction Brain modeling Training Time domain analysis Principal component analysis

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The effect of gender on support and self-efficacy in undergraduate engineering programs

The effect of gender on support and self-efficacy in undergr...

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2010 ASEE Annual Conference and Exposition

作者： Reisberg, Rachelle Bailey, Margaret Burger, Carol Hamann, Jerry Raelin, Joe Whitman, David Women in Engineering Program Northeastern University United States WE RIT Kate Gleason College of Engineering Rochester Institute of Technology United States Department of Computer Science University of Wyoming United States Program for Women and Girls HRD Division NSF United States College of Business Administration Department of Practice-Oriented Education Northeastern University United States Electrical and Computer Engineering Department University of Wyoming United States

This study is part of a larger research project, supported by a National science Foundation Research on Gender in science and engineering program grant, designed to determine the effect of self-efficacy and other factors on the retention of women in undergraduate engineering programs. These data represent the first wave of the study completed in the 2008-2009 academic year of sophomores in the colleges of engineering from four participating universities: Northeastern University, Rochester Institute of Technology, Virginia Polytechnic Institute, and the University of Wyoming. The study examines the effect of gender on a range of contextual supports to explain three dimensions of self-efficacy: work, career, and academic within undergraduate engineering. Contextual support is defined as the institutional support provided to students through a number of mechanisms, such as financial aid, mentorship, and participation in living/learning communities. The analyses revealed some significant differences by gender. With the exception of academic self-efficacy, which is significantly higher among males, every other significant difference favors the female population. As freshmen, women are not as confident as men in their likelihood of achieving success in their engineering major. However, they were found to have higher career self-efficacy, in contrast to what has been reported in the literature, and benefit far more from mentorship. They also exceed the scores of their male counterparts in five support dimensions: they report receiving more support from professional clubs and associations;they are more involved in campus life;they take more advantage of living/learning communities;and they report that they not only receive more support from their friends but that their friends really matter to them. © American Society for engineering Education, 2010.

关键词： Professional aspects

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HermesD: A high-rate long-range wireless transmission system for simultaneous multichannel neural recording applications

HermesD: A high-rate long-range wireless transmission system...

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作者： Miranda, Henrique Gilja, Vikash Chestek, Cindy A. Shenoy, Krishna V. Meng, Teresa H. Department of Electrical Engineering Stanford University Stanford CA 94305 United States Department of Computer Science Stanford University Stanford CA 94305 United States Departments of Electrical Engineering and Bioengineering Neurosciences Program Stanford University Stanford CA 94305 United States

HermesD is a high-rate, low-power wireless transmission system to aid research in neural prosthetic systems for motor disabilities and basic motor neuroscience. It is the third generation of our Hermes systems aimed at recording and transmitting neural activity from brain-implanted electrode arrays. This system supports the simultaneous transmission of 32 channels of broadband data sampled at 30 ks/s, 12 b/sample, using frequency-shift keying modulation on a carrier frequency adjustable from 3.7 to 4.1 GHz, with a link range extending over 20 m. The channel rate is 24 Mb/s and the bit stream includes synchronization and error detection mechanisms. The power consumption, approximately 142 mW, is low enough to allow the system to operate continuously for 33 h, using two 3.6-V/1200-mAh Li-SOCl2batteries. The transmitter was designed using off-the-shelf components and is assembled in a stack of three 28 mm × 28-mm boards that fit in a 38 mm × 38 mm × 51-mm aluminum enclosure, a significant size reduction over the initial version of HermesD. A 7-dBi circularly polarized patch antenna is used as the transmitter antenna, while on the receiver side, a 13-dBi circular horn antenna is employed. The advantages of using circularly polarized waves are analyzed and confirmed by indoor measurements. The receiver is a stand-alone device composed of several submodules and is interfaced to a computer for data acquisition and processing. It is based on the superheterodyne architecture and includes automatic frequency control that keeps it optimally tuned to the transmitter frequency. The HermesD communications performance is shown through bit-error rate measurements and eye-diagram plots. The sensitivity of the receiver is - 83 dBm for a bit-error probability of 10-9. Experimental recordings from a rhesus monkey conducting multiple tasks show a signal quality comparable to commercial acquisition systems, both in the low-frequency (local field potentials) and upper-frequency bands (act

关键词： Transmitters

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Semidefinite relaxation of quadratic optimization problems

Semidefinite relaxation of quadratic optimization problems

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作者： Luo, Zhi-Quan Ma, Wing-Kin So, Anthony Ye, Yinyu Zhang, Shuzhong Department of Electrical and Computer Engineering University of Minnesota United States Department of Electronic Engineering Chinese University of Hong Kong Shatin Hong Kong Hong Kong Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Hong Kong Hong Kong Department of Management Science and Engineering MSE Industrial Affiliates Program Stanford University United States

In recent years, the semidefinite relaxation (SDR) technique has been at the center of some of very exciting developments in the area of signal processing and communications, and it has shown great significance and relevance on a variety of applications. Roughly speaking, SDR is a powerful, computationally efficient approximation technique for a host of very difficult optimization problems. In particular, it can be applied to many nonconvex quadratically constrained quadratic programs (QCQPs) in an almost mechanical fashion, including the following problem: © 2010 IEEE.

关键词： Signal processing

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Dynamical analysis of grasping with hand model for high quality product design

Dynamical analysis of grasping with hand model for high qual...

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作者： Hashimoto, Hiroshi Murakoshi, Hideki Sasaki, Akinori Ohyama, Yasuhiro Makino, Koji Yokota, Sho Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Tokyo Japan School of Computer Science Tokyo University of Technology Tokyo Japan Department of Mechanical Engineering Setsunan University Osaka Japan

ISBN: (纸本)9784907764364

Product design is an important process in industry whereas it has been usually performed based on aesthetics and static strength rather than on dynamical features of the product in use, or more specifically, in grasping. In this paper, dynamical analysis of grasping is to be discussed. Because it is difficult to deal with an actual hand dynamically interacting with an object, a hand model in dynamical simulation environment is used for the analysis. The hand model moves corresponding to a hand wearing a data glove. In the simulation, contact force vectors are calculated for each contact point between the hand model and the object to be grasped. © 2010 SICE.

关键词： Product design

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Research and Implement for Vehicle License Plate Recognition Based on improved BP Network

Research and Implement for Vehicle License Plate Recognition...

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2010 International Conference on computer and Communication Technologies in Agriculture engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

作者： Zhiwen WANG Shaozi LI Department of Computer and Engineering Guangxi University of Technology Liuzhou 545006 China Cognitive Science Department of Xiamen University Xiamen 361005 China

In this article, BP network learning algorithm is improved by using momentum and genetic algorithm after analyzing the defects of the BP network learning algorithm. So the convergence rate of BP network is speeded up greatly. The vehicle license plate character image is segmented and feature is extracted by edge detection using sobel operator. And then license plates of cars are automatically recognized by using improved BP neural network. This algorithm can improve the speed and accuracy for the automatic identification of the license plates of vehicle.

关键词： BP network momentum genetic algorithm license plate location license plate character segmentation license plate character recognition

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Tractor: A framework for soft information fusion

Tractor: A framework for soft information fusion

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International Conference on Information Fusion

作者： Michael Prentice Michael Kandefer Stuart C. Shapiro Department of Computer Science and Engineering Center of Cognitive Science Center of Multisource Information Fusion State University of New York University at Buffalo Buffalo NY USA

This paper presents a soft information fusion framework for creating a propositional graph from natural language messages with an emphasis on producing these graphs for fusion with other messages. The framework utilizes artificial intelligence techniques from natural language understanding, knowledge representation, and information retrieval.

关键词： Agricultural machinery Natural languages Syntactics Context Resource description framework Logic gates Ontologies

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Message Broker Using Asynchronous Method Invocation in Web Service and Its Evaluation

Message Broker Using Asynchronous Method Invocation in Web S...

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IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW

作者： Fan Bai Wang Tao Interactive Systems and Interaction Design Department of Computer Science and Applied Cognitive Sciences Faculty of Engineering University of Duisburg-Essen Germany

Event driven architectures are widely used in numerous software applications, for instance in GUI focused software. Currently most event driven softwares are applied merely in local environment. If we need to use event driven architecture in a distributed environment, there are not too many candidates to choose from. Thus, although there are a number of techniques which support the event notification in distributed environments, such as Comet technique and ESB platform, we still require a light-weight and user-friendly system, free from platform and protocol, to support event notification in the Web environment. In this paper we implemented a middleware which supports event subscription and publication based on Web Service. Through the evaluations afterwards we finally found out the limitations of our current system and we offered our suggestions accordingly.

关键词： Web services Application software Protocols Web server Java computer architecture Graphical user interfaces Subscriptions Software testing Interactive systems

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