Linux was first released into an unsuspecting world in the summer of 1991. Initially
the spare-time hobby of a Finnish computer scientist by the name of Linus Torvalds,
Linux was at first accessible only in software source code form to those with enough
expertise to build and install it. Early enthusiasts (most also developers themselves by
necessity) exploited the growth of the Internet in the early 1990s as a means to build
online communities and drive development forward. These communities helped to
build the first Linux software distributions, containing all the software components
needed to install and use a Linux system without requiring users to be technical experts.
The SDI standards are the predominant standards for uncompressed digital videointerfaces in the broadcast studio and video production center. The first SDI standard,SD-SDI, allowed standard-definition digital video to be transported over the coaxial cableinfrastructure Initially installed in studios to carry analog video. Next, HD-SDI wasto support high-definition video. Finally, dual link HD-SDI and 3G-SDIdoubled the bandwidth of HD-SDI to support 1080p (50 Hz and 60 Hz) and other videoformats requiring more bandwidth than HD-SDI provides.
The SDI standards are the predominant standards for uncompressed digital videointerfaces in the broadcast studio and video production center. The first SDI standard,SD-SDI, allowed standard-definition digital video to be transported over the coaxial cableinfrastructure Initially installed in studios to carry analog video. Next, HD-SDI wasto support high-definition video. Finally, dual link HD-SDI and 3G-SDIdoubled the bandwidth of HD-SDI to support 1080p (50 Hz and 60 Hz) and other videoformats requiring more bandwidth than HD-SDI provides.
This scheme is initiated by Ziv and Lempel [1]. A slightly modified version is described by Storer and Szymanski [2]. An implementation using a binary tree is proposed by Bell [3]. The algorithm is quite simple: Keep a ring buffer, which Initially contains "space" characters only. Read several letters from the file to the buffer. Then search the buffer for the longest string that matches the letters just read, and send its length and position in the buffer.
RTEMS (Real-Time Executive for Multiprocessor Systems) is a free open source real-time operating system designed for embedded systems.
The acronym RTEMS Initially stood for Real-Time Executive for Missile Systems, then became Real-Time Executive for Military Systems before changing to its current meaning. RTEMS development began in the late 1980s with early versions of RTEMS available via ftp as early as 1993. OAR Corporation is currently managing the RTEMS project in cooperation with a Steering Committee which includes user representatives.
Libvirt是一套在linux上用C編寫的虛擬化操作工具接口。其目的是提供一個穩(wěn)定的支持Xen，QEME和KVM虛擬化平臺的C（也支持Python) API
Libvirt is a C toolkit to interact with the virtualization capabilities of recent versions of Linux (and other OSes).The library aim at providing long term stable C API Initially for the Xen paravirtualization but should be able to integrate other virtualization mechanisms, it currently also support QEmu and KVM.
The Java Platform, Enterprise Edition 5 (Java EE 5) has two different but complementary
technologies for producing dynamic web content in the presentation tier—namely Java
Servlet and JavaServer Pages (JSP).
Java Servlet, the first of these technologies to appear, was Initially described as extensions
to a web server for producing dynamic web content. JSP, on the other hand, is a newer technology
but is equally capable of generating the same dynamic content. However, the way in
which a servlet and a JSP page produce their content is fundamentally different servlets
embed content into logic, whereas JSP pages embed logic into content.
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.
