We introduce a sub-cell WENO reconstruction method to evaluate spatial derivatives in the high-order ADER scheme. The basic idea in our reconstruction is to use only r stencils to reconstruct the point-wise values of solutions and spatial derivatives for the 2r-1 th order
ADER scheme in one dimension, while in two dimensions, the dimension-by-dimension sub-cell reconstruction approach for spatial derivatives is employed. Compared with the original ADER scheme of Toro and Titarev (2002) [2] that uses the direct derivatives of reconstructed polynomials for solutions to evaluate spatial derivatives, our method not only reduces greatly the computational costs of the ADER scheme on a given mesh,
but also avoids possible numerical oscillations near discontinuities, as demonstrated by a number of one- and two-dimensional numerical tests. All These tests show that the 5th-order ADER scheme based on our sub-cell reconstruction method achieves the desired accuracy, and is essentially non-oscillatory and computationally cheaper for problems with discontinuities.
Guided vehicles (GVs) are commonly used for the internal transportation of loads in warehouses, production plants and terminals. These guided vehicles can be routed with a variety of vehicle dispatching rules in an attempt to meet performance criteria such as minimizing the average load waiting times. In this research, we use simulation models of three companies to evaluate the performance of several real-time vehicle dispatching rules, in part described in the literature. It appears that there
is a clear difference in average load waiting time between the different dispatching rules in the different environments. Simple rules, based on load and vehicle proximity (distance-based) perform best for all cases. The penalty for this is a relatively high maximum load waiting time. A distance-based rule with time truncation, giving more priority to loads that have to wait longer than a time threshold, appears to yield the best possible overall performance. A rule that particularly considers load-waiting time performs poor overall. We also show that using little pre-arrival information of loads leads to a significant improvement in the performance of the dispatching rules without changing their performance ranking.
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
2N5550,2N5551 amplifier transistors NPN silicon.
This document describes the features of 2N5550 and 2N5551. You can check or search the characteristics of These two transistors by this document and decide which transistor you need.
Microprocessors are getting smaller, cheaper and faster. Every day, it is easier to embed more functionality into a smaller space. Embedded processors have become pervasive, and as time goes on, more and more functions that were once implemented with analog circuitry or with electromechanical assemblies are being realized with microcontrollers, ADCs and DACs. Many of These assemblies that are being supplanted by the microprocessor are controlling dynamic processes, which is a good thing, because the microprocessor coupled with the right software is often the superior device.
A major societal challenge for the decades to come will be the delivery of effective
medical services while at the same time curbing the growing cost of healthcare.
It is expected that new concepts-particularly electronically assisted healthcare will
provide an answer. This will include new devices, new medical services as well
as networking. On the device side, impressive innovation has been made possible
by micro- and nanoelectronics or CMOS Integrated Circuits. Even higher accuracy
and smaller form factor combined with reduced cost and increased convenience
of use are enabled by incorporation of CMOS IC design in the realization of biomedical
systems. The compact hearing aid devices and current pacemakers are
good examples of how CMOS ICs bring about These new functionalities and services
in the medical field. Apart from These existing applications, many researchers
are trying to develop new bio-medical solutions such as Artificial Retina, Deep
Brain Stimulation, and Wearable Healthcare Systems. These are possible by combining
the recent advances of bio-medical technology with low power CMOS IC
technology.
Reconstruction- and example-based super-resolution
(SR) methods are promising for restoring a high-resolution
(HR) image from low-resolution (LR) image(s). Under large
magnification, reconstruction-based methods usually fail
to hallucinate visual details while example-based methods
sometimes introduce unexpected details. Given a generic
LR image, to reconstruct a photo-realistic SR image and
to suppress artifacts in the reconstructed SR image, we
introduce a multi-scale dictionary to a novel SR method
that simultaneously integrates local and non-local priors.
The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local
area. The non-local prior enriches visual details by taking
a weighted average of a large neighborhood as an estimate
of the target pixel. Essentially, These two priors are complementary to each other. Experimental results demonstrate
that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
PRODUCT DESCRIPTION
The AD810 is a composite and HDTV compatible, current
feedback, video operational amplifier, ideal for use in systems
such as multimedia, digital tape recorders and video cameras.
The 0.1 dB flatness specification at bandwidth of 30 MHz
(G = +2) and the differential gain and phase of 0.02% and
0.04° (NTSC) make the AD810 ideal for any broadcast quality
video system. All These specifications are under load conditions
of 150 ? (one 75 ? back terminated cable).
The AD810 is ideal for power sensitive applications such as
video cameras, offering a low power supply current of 8.0 mA
max. The disable feature reduces the power supply current to
only 2.1 mA, while the amplifier is not in use, to conserve
power. Furthermore the AD810 is specified over a power supply
range of ±5 V to ±15 V.
transimpedance linearization circuitry. This allows it to drive
video loads with excellent differential gain and phase perfor
mance on only 50 mW of power. The AD8001 is a current
feedback amplifier and features gain flatness of 0.1 dB to 100 MHz
while offering differential gain and phase error of 0.01% and
0.025°. This makes the AD8001 ideal for professional video
electronics such as cameras and video switchers. Additionally,
the AD8001’s low distortion and fast settling make it ideal for
buffer high-speed A-to-D converters.
The AD8001 offers low power of 5.5 mA max (VS = ±5 V) and
can run on a single +12 V power supply, while being capable of
delivering over 70 mA of load current. These features make this
amplifier ideal for portable and battery-powered applications
where size and power are critical.
The outstanding bandwidth of 800 MHz along with 1200 V/μs
of slew rate make the AD8001 useful in many general purpose
high-speed applications where dual power supplies of up to ±6 V
and single supplies from 6 V to 12 V are needed. The AD8001 is
available in the industrial temperature range of –40°C to +85°C.
Broadband powerline communication systems are continuing to gain significant
market adoption worldwide for applications ranging from IPTV delivery to the
Smart Grid. The suite of standards developed by the HomePlug Powerline
Alliance plays an important role in the widespread deployment of broadband
PLC. To date, more than 100 million HomePlug modems are deployed and These
numbers continue to rise.