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51.
Human activity recognition is an effective approach for identifying the characteristics of historical data. In the past decades, different shallow classifiers and handcrafted features were used to identify the activities from the sensor data. These approaches are configured for offline processing and are not suitable for sequential data. This article proposes an adaptive framework for human activity recognition using a deep learning mechanism. This deep learning approach forms the deep belief network (DBN), which contains a visible layer and hidden layers. The processing of raw sensor data is performed by these layers and the activity is identified at the top most layers. The DBN is tested using the real time environment with the help of mobile devices that contain an accelerometer, a magnetometer, and a gyroscope. The results are analyzed with the metrics of precision, recall, and the F1-score. The results proved that the proposed method has a higher F1_score when compared to the existing approach. 相似文献
52.
航天器数据庞大繁杂,为了给设计人员提供快速检验设计思想的便捷工具,对基于数据驱动的航天器三维可视化系统进行了研究。在分析航天器可视化系统特点的基础上,提出系统功能要求,继而提出了基于数据驱动的三维可视化系统构建方案,介绍了可视化系统组成、核心模块关系。在基于MFC框架及Vega Prime为主的开发的前提下,对系统模块划分进行了研究,给出模块功能和实现方案。为了提升系统展示效果,对消息缓冲与插值延迟、特效集成与驱动机制、相机管理和场景切换等关键技术提出了优化设计方案,使之更加适应航天器可视化展示需求。设计系统较传统可视化系统展示更为流畅,场景视角切换更为智能。系统已应用于多个航天器研发工作中,应用效果证明系统具有良好的通用性和实用性,具有一定的推广价值。 相似文献
53.
针对偏瘫患者外骨骼康复机器人降低外骨骼质量的要求,设计了一种辅助下肢外骨骼机器人,采用柔索驱动的膝关节,具有结构简单,质量轻的特点。同时利用ADAMS建立了外骨骼关节柔索驱动的动力学模型,绳索模块建立了柔索驱动模型,通过Ariel生物运动分析软件,采集髋、膝、踝关节运动数据,运用Spline函数进行了仿真分析。经过仿真分析柔索驱动在上台阶运动过程中的不同拉簧预紧力和拉簧刚度下传动特性和驱动力矩,为进一步研究设计下肢外骨骼提供依据。 相似文献
54.
总体布局完成之后的核心任务就是单元位置的合法化,即在将所有的单元安放到布局区并且与合理位置(site)对齐的同时,消除单元间的重叠.为了高效地实现大规模ASIC(Application Specific Integrated Circuit,专用集成电路)的布局过程,提出一种基于线长驱动的合法化算法.它以电路总线长为优化目标,同时考虑单元布局合理位置的约束和预布障碍.在ISPD' 11和DAC' 12竞赛例子上进行的测试结果表明了算法在线长保护及优化方面的效果.这些测试用例都是来源于现代工业ASIC设计的实例,由此说明了算法可以稳定有效地解决工业器中大规模ASIC多种特征电路的布局合法化问题. 相似文献
55.
To allow efficient and user‐friendly development of a component‐based application, component systems have to provide a rather complex development infrastructure, including a tool for component composition, component repository, and a run‐time infrastructure. In this paper, we present and evaluate benefits of using meta‐modeling during the process of defining a component system and also during creation of the development and run‐time infrastructures. Most of the presented arguments are based on a broad practical experience with designing the component systems SOFA and SOFA 2; the former designed in a classical ad hoc ‘manual’ way, whereas the latter with the help of meta‐modeling. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
56.
57.
ZHAO Yong 《数字社区&智能家居》2008,(18)
"任务驱动法"是建立在建构主义教学理论基础上的教学法,作为建构者——教师,仅是学习的指导者、辅助者、咨询者、导航者,而学生才是教与学活动中的主体,在具体教学过程中,我们应将大量时间留给学生带着驱动"任务"进行研究性学习。目前,我国中学信息技术课程中普遍采用这一教学法,即在具体教学过程中,我们应尽量压缩教师讲授内容的时间,而将大量的时间留给学生进行研究性学习。本文就如何优化信息技术课程谈几点思考。 相似文献
58.
Realizing quality improvement through test driven development: results and experiences of four industrial teams 总被引:2,自引:2,他引:0
Nachiappan Nagappan E. Michael Maximilien Thirumalesh Bhat Laurie Williams 《Empirical Software Engineering》2008,13(3):289-302
Test-driven development (TDD) is a software development practice that has been used sporadically for decades. With this practice,
a software engineer cycles minute-by-minute between writing failing unit tests and writing implementation code to pass those
tests. Test-driven development has recently re-emerged as a critical enabling practice of agile software development methodologies.
However, little empirical evidence supports or refutes the utility of this practice in an industrial context. Case studies
were conducted with three development teams at Microsoft and one at IBM that have adopted TDD. The results of the case studies
indicate that the pre-release defect density of the four products decreased between 40% and 90% relative to similar projects
that did not use the TDD practice. Subjectively, the teams experienced a 15–35% increase in initial development time after
adopting TDD.
Nachiappan Nagappan is a researcher in the Software Reliability Research group at Microsoft Research. He received his MS and PhD from North Carolina State University in 2002 and 2005, respectively. His research interests are in software reliability, software measurement and empirical software engineering. Dr. E. Michael Maximilien (aka “max”) is a research staff member at IBM’s Almaden Research Center in San Jose, California. Prior to joining ARC, he spent ten years at IBM’s Research Triangle Park, N.C., in software development and architecture. He led various small- to medium-sized teams, designing and developing enterprise and embedded Java™ software; he is a founding member and contributor to three worldwide Java and UML industry standards. His primary research interests lie in distributed systems and software engineering, especially Web services and APIs, mashups, Web 2.0, SOA (service-oriented architecture), and Agile methods and practices. He can be reached through his Web site (maximilien.org) and blog (blog.maximilien.com). Thirumalesh Bhat is a Development Manager at Microsoft Corporation. He has worked on several versions of Windows and other commercial software systems at Microsoft. He is interested in software reliability, testing, metrics and software processes. Laurie Williams is an associate professor of computer science at North Carolina State University. She teaches software engineering and software reliability and testing. Prior to joining NCSU, she worked at IBM for nine years, including several years as a manager of a software testing department and as a project manager for a large software project. She was one of the founders of the XP Universe conference in 2001, the first US-based conference on agile software development. She is also the lead author of the Pair Programming Illuminated book and a co-editor of the Extreme Programming Perspectives book. 相似文献
Laurie WilliamsEmail: |
Nachiappan Nagappan is a researcher in the Software Reliability Research group at Microsoft Research. He received his MS and PhD from North Carolina State University in 2002 and 2005, respectively. His research interests are in software reliability, software measurement and empirical software engineering. Dr. E. Michael Maximilien (aka “max”) is a research staff member at IBM’s Almaden Research Center in San Jose, California. Prior to joining ARC, he spent ten years at IBM’s Research Triangle Park, N.C., in software development and architecture. He led various small- to medium-sized teams, designing and developing enterprise and embedded Java™ software; he is a founding member and contributor to three worldwide Java and UML industry standards. His primary research interests lie in distributed systems and software engineering, especially Web services and APIs, mashups, Web 2.0, SOA (service-oriented architecture), and Agile methods and practices. He can be reached through his Web site (maximilien.org) and blog (blog.maximilien.com). Thirumalesh Bhat is a Development Manager at Microsoft Corporation. He has worked on several versions of Windows and other commercial software systems at Microsoft. He is interested in software reliability, testing, metrics and software processes. Laurie Williams is an associate professor of computer science at North Carolina State University. She teaches software engineering and software reliability and testing. Prior to joining NCSU, she worked at IBM for nine years, including several years as a manager of a software testing department and as a project manager for a large software project. She was one of the founders of the XP Universe conference in 2001, the first US-based conference on agile software development. She is also the lead author of the Pair Programming Illuminated book and a co-editor of the Extreme Programming Perspectives book. 相似文献
59.
陈慧南 《计算机工程与科学》2000,22(1):89-91
本文讨论基于扩充的着色网的事件驱动用户界面规范的实例问题。我们使用扩充的着色网作为对话模型表达互软件的人机交互行为。文中简述了扩充的着色网对话模型,给出 其对象一联系模型及核心算法,最后给出产将扩充的着色网表达的事件驱动用户界面规范转换成可视编程环境的语言程序的方法。 相似文献
60.
为了保证管理软件在整个生命周期内都具有可信性,在ICEMDA架构基础上融入可信性理论与方
法,提出了一种可信管理软件的模型驱动构造参考方法.通过分析国内外的研究现状,明确界定了管理软件
可信性概念,给出可信性判定问题描述.结果表明该方法以ICEMDA各层次上的构造体为中心,逐层进行可
信模型描述、可信指标度量、可信性判定与优化,借助ICEMDA的模型语义保持技术实现各层间可信性的保
持与传递,并以业务构件PSM模型的可信性判定为例简要介绍了该体系的具体实施机制 相似文献