Java NIO explores the new I/O capabilities of version 1.4 in detail and shows you how to put these features to work to greatly improve the efficiency of the Java code you write. This compact volume examines the typical challenges that Java programmers face with I/O and shows you how to take advantage of the capabilities of the new I/O features. You'll learn how to put these tools to work using examples of common, real-world I/O problems and see how the new features have a direct impact on responsiveness, scalability, and reliability. Because the NIO APIs supplement the I/O features...
Computer Hided and Integrated Manufacturing Systems
II S-Volume Sel
Cornelius T Leondes
C o m p u t e r H i d e d and Integrated Manufacturing Systems
A S-Volume Set
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C o m p u t e r R i d e d and Integrated Manufacturing Systems
H S-Volume Ser
Unifmity of Calikmia, Lm Angeles, USA
I j f e World Scientific
New Jersey 9 London • Singapore • Hong Kong
.Published by World Scientific Publishing Co. Pte. Ltd.
The U.S. Air Force, like the other services, is transforming itself into a
new type of force with capabilities appropriate for an emerging array of
new threats. The Air Force roadmap for transformation, part of the U.S.
Air Force Transformation Flight Plan,1 describes the desired new capabilities,
and it is readily seen that advances in information science and technology
(IS&T) underpin most of them. For example, the three main new
capabilities are information superiority, precision targeting (or strike), and
improved battlespace awareness...
Two new p a r s i n g algorithms for context-free p h r a s e s t r u c t u r e grammars are presented which perform a bounded a m o u n t of processing per word per analysis path, independently of sentence length. They are thus capable of parsing in real-time in a parallel implementation which forks processors in response to non-deterministic choice points. 0. INTRODUCTION The work reported here grew out of our a t t e m p t to improve on the o (n 2) p e...
The Layered Domain Class system (LDC) is an experimental natural language processor being developed at Duke University which reached the prototype stage in M a y of 1983. Its primary goals are (I) to provide English-language retrieval capabilities for structured but unnormaUzed data files created by the user, (2) to allow very complex semantics, in terms of the information directly available from the physical data file; and (3) to enable users to customize the system to operate with new types of data. In this paper we shall discuss (a) the types of modifiers LDC provides for; (b) h o...