Learn how to leverage a key Java technology used to access
relational data from Java programs, in an Oracle environment.
Author Donald Bales begins by teaching you the mysteries of
establishing database connections, and how to Issue SQL queries
and get results back. You ll move on to advanced topics such as
streaming large objects, calling PL/procedures, and working
with Oracle9i s object-oriented features, then finish with a look at
transactions, concurrency management, and performance
Abstract - A fl exible multiscale and directional representation for images is
proposed. The scheme combines directional fi lter banks with the
Laplacian pyramid to provides a sparse representation for two-
dimensional piecewise smooth signals resembling images. The
underlying expansion is a frame and can be designed to be a
tight frame. Pyramidal directional fi lter banks provide an effective
method to implement the digital curvelet transform. The regularity
Issue of the iterated fi lters in the directional fi lter bank is examined.
Bulletin of the American Mathematical Society Volume 49 Issue 1 1943 [doi 10.1090_s0002-9904-1943-07818-4] Courant, R. -- Variational methods for the solution of problems of equilibrium and vibratio
When the authors of this book asked me to write the foreword of
their work on the digital enterprise, I immediately thought that it was
one more document on a fashionable topic in the technology and the
business world of the 21st Century often addressed by consulting
firms, some of which have aspired to become experts on the subject.
However, a more careful observation reveals that an Issue more
important than the sole subject of the digital enterprise is: “Is your
company fully operational?”, because this is the real topic.
At the macroscopic level of system layout, the most important Issue is path loss. In the
older mobile radio systems that are limited by receiver noise, path loss determines SNR and
the maximum coverage area. In cellular systems, where the limiting factor is cochannel
interference, path loss determines the degree to which transmitters in different cells interfere
with each other, and therefore the minimum separation before channels can be reused.
Advances in communication and networking technologies are rapidly making ubiq-
uitous network connectivity a reality. Wireless networks are indispensable for
supporting such access anywhere and at any time. Among various types of wire-
less networks, multihop wireless networks (MWNs) have been attracting increasing
attention for decades due to its broad civilian and military applications. Basically,
a MWN is a network of nodes connected by wireless communication links. Due
to the limited transmission range of the radio, many pairs of nodes in MWNs may
not be able to communicate directly, hence they need other intermediate nodes to
forward packets for them. Routing in such networks is an important Issue and it
poses great challenges.
As we enter the next millennium, there are clear technological patterns. First, the
electronic industry continues to scale microelectronic structures to achieve faster
devices, new devices, or more per unit area. Secondly, electrostatic charge, electrostatic
discharge (ESD), electrical overstress (EOS) and electromagnetic emissions (EMI)
continue to be a threat to these scaled structures. This dichotomy presents a dilemma
for the scaling of semiconductor technologies and a future threat to new technologies.
Technological advancements, material changes, design techniques, and simulation can
fend off this growing concern – but to maintain this ever-threatening challenge, one must
continue to establish research and education in this Issue.
Resource allocation is an important Issue in wireless communication networks. In
recent decades, cognitive radio technology and cognitive radio-based networks have
obtained more and more attention and have been well studied to improve spectrum
utilization and to overcomethe problem of spectrum scarcity in future wireless com-
munication systems. Many new challenges on resource allocation appear in cogni-
tive radio-based networks. In this book, we focus on effective solutions to resource
allocation in several important cognitive radio-based networks, including a cogni-
tive radio-basedopportunisticspectrum access network, a cognitiveradio-basedcen-
tralized network, a cognitive radio-based cellular network, a cognitive radio-based
high-speed vehicle network, and a cognitive radio-based smart grid.
