The goal of this lab is (1) to under the defects of software timers, (2) to write a periodic program without timers, (3) to write a periodic program using timer Hardware:Host computer PC Software: GNU GCC
标签： software periodic defects timers
上传时间： 2014-08-13
上传用户：古谷仁美
TRANSFER MATRIX FORMALISM FOR GRATINGS WITH defects AND GAIN
标签： FORMALISM TRANSFER GRATINGS defects
上传时间： 2015-08-11
上传用户：yuzsu
The Personal Software Process (PSP) shows engineers how to: 1)manage the quality of their projects 2)make commitments they can meet 3)improve estimating and planning 4)reduce defects in their products
标签： engineers Personal Software projects
上传时间： 2014-12-05
上传用户：Avoid98
THIS DESIGN IS PROVIDED TO YOU "AS IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, AND XILINX SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. This design has not been verified on hardware (as opposed to simulations), and it should be used only as an example design, not as a fully functional core. XILINX does not warrant the performance, functionality, or operation of this Design will meet your requirements, or that the operation of the Design will be uninterrupted or error free, or that defects in the Design will be corrected. Furthermore, XILINX does not warrant or make any representations regarding use or the results of the use of the Design in terms of correctness, accuracy, reliability or otherwise.
标签： CONDITIONS WARRANTIES YOU PROVIDED
上传时间： 2016-03-21
上传用户：1427796291
Quality control of production has always been a necessity in stainless steel mills. The users of stainless steel set ever-increasing requirements on product quality. Many material properties can still only be measured in laboratory but more and more measurements are now made on-line during the production. Especially surface defects have to be detected on-line with a surface inspection system because of their random appearance.
标签： production necessity stainless Quality
上传时间： 2014-11-17
上传用户：baiom
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
This chapter surveys the high temperature and oxygen partial pressure behavior of complex oxide heterostructures as determined by in situ synchrotron X-ray methods. We consider both growth and post-growth behavior, emphasizing the observation of structural and interfacial defects relevant to the size-dependent properties seen in these systems.
标签： Metal-Oxides Thin Film
上传时间： 2020-06-07
上传用户：shancjb
