Collaborative Research: CCLI-EMD; Development of On-line Laboratories for Networks, Probablility Theory, Signals and Systems, and Multimedia Computing
合作研究:CCLI-EMD;
基本信息
- 批准号:0443137
- 负责人:
- 金额:$ 31.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-04-15 至 2009-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This full-scale EMD collaborative effort involves five universities, namely, Arizona State University (ASU), the University of Washington Bothell (UWB), the University of Texas at Dallas (UTD), the University of Rhode Island (URI), and the University of Central Florida (UCF). The project involves significant educational technology innovations and software extensions that enable the ASU online prototype software Java-DSP (J-DSP; http://jdsp.asu.edu) to be used in undergraduate courses across the five participating universities. Problems that are being addressed include the delivery of technology-enhanced laboratory experiences to undergraduate students using novel Java tools, and the broad assessment of these practices across the participating universities. The project tasks and objectives include: a) software development towards producing a new delivery technology, b) considerable mathematical functionality extensions of J-DSP, c) development of laboratory exercises by all the Co-PIs at the different universities, d) a geographically-diverse assessment that involves the faculty specialists at all five universities, e) a comprehensive pilot test of a new revolutionary multi-site laboratory concept that allows students in the five universities to concurrently run real-time integrated online simulations using the planned connectivity upgrades on J-DSP, and f) dissemination and publication of all results. The educational innovation is enabling distance learners to conduct laboratories over the Internet. The concepts developed in this project are serving as a model for developing and conducting online labs in other science disciplines.
这一全面的EMD合作努力涉及五所大学,即亚利桑那州立大学(ASU)、华盛顿大学博瑟尔(UWB)、德克萨斯大学达拉斯分校(UTD)、罗得岛大学(URI)和中佛罗里达大学(UCF)。该项目涉及重大的教育技术创新和软件扩展,使ASU在线原型软件Java-DSP(J-DSP; http://jdsp.asu.edu)能够在五所参与大学的本科课程中使用。正在解决的问题包括交付技术增强实验室的经验,本科生使用新的Java工具,这些做法在参与大学的广泛评估。项目的任务和目标包括:a)软件开发,以产生新的交付技术,B)J-DSP的大量数学功能扩展,c)由不同大学的所有Co-PI开发实验室练习,d)涉及所有五所大学的教师专家的地理多样性评估,e)对一个新的革命性多地点实验室概念进行全面的试点测试,该概念允许五所大学的学生使用计划中的J-DSP连接升级同时运行实时集成在线模拟,(f)传播和出版所有成果。教育创新使远程学习者能够通过互联网进行实验。在这个项目中开发的概念是作为一个模型,在其他科学学科的开发和进行在线实验室。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Andreas Spanias其他文献
Despeckle Filtering Algorithms and Software for Ultrasound Imaging Despeckle Filtering Algorithms and Software for Ultrasound Imaging Despeckle Filtering Algorithms and Software for Ultrasound Imaging Synthesis Lectures on Algorithms and Software in Engineering #1
超声成像去斑滤波算法和软件 超声成像去斑滤波算法和软件 超声成像去斑滤波算法和软件 工程算法和软件综合讲座
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
C. Loizou;C. Pattichis;Eleni Loizou;Andreas Spanias - 通讯作者:
Andreas Spanias
Adaptive noise cancellation using fast optimum block algorithms
使用快速最佳块算法的自适应噪声消除
- DOI:
10.1109/iscas.1991.176430 - 发表时间:
1991 - 期刊:
- 影响因子:0
- 作者:
M. E. Deisher;Andreas Spanias - 通讯作者:
Andreas Spanias
Gradient projection-based channel equalization under sustained fading
- DOI:
10.1016/j.sigpro.2007.07.014 - 发表时间:
2008-02-01 - 期刊:
- 影响因子:
- 作者:
Venkatraman Atti;Andreas Spanias;Kostas Tsakalis;Constantinos Panayiotou;Leon Iasemidis;Visar Berisha - 通讯作者:
Visar Berisha
Introducing Quantum Computing in a Sophomore Signals and Systems Course
在大二信号与系统课程中介绍量子计算
- DOI:
10.1109/fie58773.2023.10343312 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Chao Wang;Aradhita Sharma;Glen S. Uehara;Leslie Miller;Deep Pujara;W. Barnard;Jean Larson;Andreas Spanias - 通讯作者:
Andreas Spanias
Quantum and Classical Machine Learning Algorithm Comparisons for Monitoring PV Array Faults with Emphasis to Shading Detection
用于监测光伏阵列故障的量子和经典机器学习算法比较,重点是阴影检测
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Kaden McGuffie;Glen S. Uehara;Sameeksha Katoch;Andreas Spanias - 通讯作者:
Andreas Spanias
Andreas Spanias的其他文献
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{{ truncateString('Andreas Spanias', 18)}}的其他基金
REU Site: Quantum Machine Learning Algorithm Design and Implementation
REU 站点:量子机器学习算法设计与实现
- 批准号:
2349567 - 财政年份:2024
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
Quantum Machine Learning Online Materials and Software Modules for Undergraduate Education
适用于本科教育的量子机器学习在线材料和软件模块
- 批准号:
2215998 - 财政年份:2022
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
MRI: Development of a Sensors and Machine Learning Instrument Suite for Solar Array Monitoring
MRI:开发用于太阳能阵列监测的传感器和机器学习仪器套件
- 批准号:
2019068 - 财政年份:2020
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
RET Site: Sensor, Signal and Information Processing Algorithms and Software
RET 站点:传感器、信号和信息处理算法和软件
- 批准号:
1953745 - 财政年份:2020
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Covid-19 Hotspot Network Size and Node Counting using Consensus Estimation
RAPID:协作研究:使用共识估计的 Covid-19 热点网络规模和节点计数
- 批准号:
2032114 - 财政年份:2020
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
IRES Track I: Sensors and Machine Learning for Solar Power Monitoring and Control
IRES Track I:用于太阳能监测和控制的传感器和机器学习
- 批准号:
1854273 - 财政年份:2019
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
REU Site: Sensor, Signal and Information Processing Devices and Algorithms
REU 网站:传感器、信号和信息处理设备和算法
- 批准号:
1659871 - 财政年份:2017
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
I/UCRC Phase II: ASU Research Site of the NSF Net-Centric and Cloud Software and Systems I/UCRC
I/UCRC 第二阶段:美国国家科学基金会 (NSF) 网络中心和云软件与系统的 ASU 研究站点 I/UCRC
- 批准号:
1540040 - 财政年份:2016
- 资助金额:
$ 31.11万 - 项目类别:
Continuing Grant
CPS: Synergy: Image Modeling and Machine Learning Algorithms for Utility-Scale Solar Panel Monitoring
CPS:协同:用于公用事业规模太阳能电池板监控的图像建模和机器学习算法
- 批准号:
1646542 - 财政年份:2016
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
I/UCRC: Workshops Promoting International USA-Mexico Collaborations in Sensors and Signal Processing
I/UCRC:促进美国-墨西哥在传感器和信号处理领域国际合作的研讨会
- 批准号:
1550393 - 财政年份:2015
- 资助金额:
$ 31.11万 - 项目类别:
Standard Grant
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