-
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
標(biāo)簽：
Optimization and Uncertainty Quantification
上傳時間：
2016-04-08
上傳用戶：huhu123456
-
Connecting 32-bit controlled applications
in the industrial, commercial and consumer
markets is fast becoming a necessity rather
than an option. Many new applications, such
as remote data collection, home automation
and networked appliances, require secure,
high-performance connectivity at an
economical price. Freescale Semiconductor
gives design engineers the flexibility to choose
the right 32-bit microcontroller from a broad
portfolio of ColdFire? embedded controllers.
標(biāo)簽：
5223
MCF
XFS
上傳時間：
2017-02-18
上傳用戶：traff07
-
PRINGTER USE GOOD SOFTWARE FOR engineers
標(biāo)簽：
PRINTING PROGRAM
上傳時間：
2017-03-02
上傳用戶：靈思工作室
-
This book provides an overview of recent innovations and achievements in the broad areas of cyber-physical systems (CPS), including architecture, networking, systems, applications, security, and privacy. The book discusses various new CPS technologies from diverse aspects to enable higher level of innovation towards intelligent life. The book provides insight to the future integration, coordination and interaction between the physical world, the information world, and human beings. The book features contributions from renowned researchers and engineers, who discuss key issues from various perspectives, presenting opinions and recent CPS-related achievements.Investigates how to advance the development of cyber-physical systems
Provides a joint consideration of other newly emerged technologies and concepts in relation to CPS like cloud computing, big data, fog computing, and crowd sourcing
Includes topics related to CPS such as architecture, system, networking, application, algorithm, security and privacy
標(biāo)簽：
Cyber-Physical
Systems
上傳時間：
2019-04-21
上傳用戶：danyun
-
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
標(biāo)簽：
Processing
Cities
Smart
Data
in
上傳時間：
2020-05-23
上傳用戶：shancjb
-
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
標(biāo)簽：
Processing
Cities
Smart
Data
上傳時間：
2020-05-25
上傳用戶：shancjb
-
The understanding of electrical system design has become increas-
ingly important, not only to the electrical designer, but to safety, plant
and project engineers as well. With the advent of high energy costs, plant
and project engineers have needed to become more aware of electrical
systems. Both safety and energy efficiency will be covered in this text
along with practical application problems for industrial and commercial
electrical design.
標(biāo)簽：
Electrical
Efficient
Handbook
Systems
Design
上傳時間：
2020-05-25
上傳用戶：shancjb
-
A decade ago, I first wrote that people moved, and networks needed to adapt to the
reality that people worked on the go. Of course, in those days, wireless LANs came
with a trade-off. Yes, you could use them while moving, but you had to trade a great
deal of throughput to get the mobility. Although it was possible to get bits anywhere,
even while in motion, those bits came slower. As one of the network engineers I worked
with put it, “We’ve installed switched gigabit Ethernet everywhere on campus, so I
don’t understand why you’d want to go back to what is a 25-megabit hub.” He un-
derestimated the allure of working on the go.
標(biāo)簽：
Survival
802.11
Guide
上傳時間：
2020-05-26
上傳用戶：shancjb
-
This thesis is about wireless communication in shared radio spectrum. Its origin and
motivation is ideally represented by the two quotations from above. In this thesis, the
support of Quality-of-Service (QoS) in cognitive radio networks is analyzed. New
approaches to distributed coordination of cognitive radios are developed in different
spectrum sharing scenarios. The Wireless Local Area Network (WLAN) 802.11 proto-
col of the Institute of Electrical and Electronics engineers (IEEE) (IEEE, 2003) with
its enhancement for QoS support (IEEE, 2005d) is taken as basis. The Medium Access
Control (MAC) of 801.11(e) is modified to realize flexible and dynamic spectrum
assignment within a liberalized regulation framework.
標(biāo)簽：
Quality-of-Service
Distributed
Support
上傳時間：
2020-05-27
上傳用戶：shancjb
-
engineers are professional inventors, researchers, and developers. Education imbues each engineer
with discipline-specific knowledge. Combining the different disciplines allows engineers to solve
more complex problems.
標(biāo)簽：
Energy-Efficient
Communication
Processors
上傳時間：
2020-05-27
上傳用戶：shancjb
