-
Adaptive Coordinated Medium Access Control (AC-MAC), a contention-based Medium
Access Control protocol for wireless sensor networks. To handle the load variations in some real-time sensor applications, ACMAC
introduces the adaptive duty cycle scheme within the framework of sensor-MAC (S-MAC).
標簽：
Control
Access
Medium
contention-based
上傳時間：
2014-12-22
上傳用戶：gundan
-
WordCloud is a visual depiction of how many times a word is used, or its frequency if you will, within a given set of words. It does this by: reading in plain text, filtering out "stop words", counting how many times a word is used, and displaying results in a Squarified Treemap.
標簽：
WordCloud
depiction
frequency
visual
上傳時間：
2017-09-03
上傳用戶：cc1915
-
Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and
Kennedy (Ebarhart, Kennedy, 1995 Kennedy, Eberhart, 1995 Ebarhart, Kennedy, 2001). The
PSO is a population based search algorithm based on the simulation of the social behavior of
birds, bees or a school of fishes. This algorithm originally intends to graphically simulate the
graceful and unpredictable choreography of a bird folk. Each individual within the swarm is
represented by a vector in multidimensional search space.
標簽：
optimization
introduced
originally
and
上傳時間：
2017-09-08
上傳用戶：hoperingcong
-
Beginning with tips for the person who is programming with SQL for the first time, SQL Tips and Techniques grows with your skills. You can start with Tip 1, "Understanding the Definition of a Database," and by the last Tip, "Displaying Image Data Stored within a SQL Table," you will have covered all aspects of SQL.
標簽：
with
programming
Beginning
for
上傳時間：
2013-12-21
上傳用戶：LIKE
-
svd 算法代碼
This directory contains instrumented SVDPACKC Version 1.0 (ANSI-C)
programs for compiling within the "svdrun" script. The "svdsum"
script can be run after all output files of the form <dataset>.outN,
where N=1,2,... have been produced by svdrun. more details please read the file readme!
標簽：
instrumented
directory
compiling
SVDPACKC
上傳時間：
2017-09-24
上傳用戶：manking0408
-
If you are a C++ programmer who desires a fuller understanding of what is going on "under the hood," then Inside the C++ Object Model is for you!
Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs.
標簽：
understanding
programmer
desires
fuller
上傳時間：
2017-09-25
上傳用戶：gtzj
-
within this book the fundamental concepts associated with the topic of power electronic control are covered alongside the latest equipment and devices, new application areas and associated computer-assisted methods.
*A practical guide to the control of reactive power systems
*Ideal for postgraduate and professional courses
*Covers the latest equipment and computer-aided analysis
標簽：
power electronic
electrical system
上傳時間：
2015-02-20
上傳用戶：12345654321
-
The object detector described below has been initially proposed by
P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a
Dalal-Triggs detector that uses a single filter on histogram of
oriented gradients (HOG) features to represent an object category.
This detector uses a sliding window approach, where a filter is
applied at all positions and scales of an image. The first
innovation is enriching the Dalal-Triggs model using a
star-structured part-based model defined by a “root” filter
(analogous to the Dalal-Triggs filter) plus a set of parts filters
and associated deformation models. The score of one of star models
at a particular position and scale within an image is the score of
the root filter at the given location plus the sum over parts of the
maximum, over placements of that part, of the part filter score on
its location minus a deformation cost easuring the deviation of the
part from its ideal location relative to the root. Both root and
part filter scores are defined by the dot product between a filter
(a set of weights) and a subwindow of a feature pyramid computed
from the input image. Another improvement is a representation of the
class of models by a mixture of star models. The score of a mixture
model at a particular position and scale is the maximum over
components, of the score of that component model at the given
location.
標簽：
計算機視覺
上傳時間：
2015-03-15
上傳用戶：sb_zhang
-
=====================================
GoAhead WebServer 2.1.8 Release Notes
=====================================
.. NOTES:
.. This document is maintained using the reStructuredText markup system.
.. You may download this from <http://docutils.sf.net>. Also note that running
.. the docutils code requires that a version of Python version 2.1 or later
.. be installed on the machine. Since the GoAhead release procedure itself
.. runs in Python, this should not be a problem.
..
.. To add new entries to the release notes, follow the markup shown below
.. (releases should be underlined with a row of '=' characters, each item
.. noted within a release should be underlined with '-' characters.
標簽：
web server embedded arm
上傳時間：
2016-01-30
上傳用戶：zrxkn
-
=====================================
GoAhead WebServer 2.1.8 Release Notes
=====================================
.. NOTES:
.. This document is maintained using the reStructuredText markup system.
.. You may download this from <http://docutils.sf.net>. Also note that running
.. the docutils code requires that a version of Python version 2.1 or later
.. be installed on the machine. Since the GoAhead release procedure itself
.. runs in Python, this should not be a problem.
..
.. To add new entries to the release notes, follow the markup shown below
.. (releases should be underlined with a row of '=' characters, each item
.. noted within a release should be underlined with '-' characters.
標簽：
web
html
embed
server
arm
small
http
上傳時間：
2016-01-30
上傳用戶：zrxkn
