Selecting and traversing

Traversing the design and construction process, even for an experienced hand, is sometimes daunting. When dealing with unfamiliar terminology and professionals in the fi eld of architecture, engineering, and construction, project owners may need some guidance along the way and, at times, wish they had a relative in the building business to provide them with some helpful tips.

392p namde03 13-03-2013 97 34   Download

One of transformation's most primitive forms is the transformation of character sequences otherwise known as strings. Unlike the ancient language SNOBOL or the relatively modern Perl, XSLT was not specifically designed with string manipulation in mind. However, Chapter 1 shows that almost anything one wants to do with strings can be done within the confines of XSLT.

0p tailieuvip13 19-07-2012 55 4   Download

This paper describes our system for generating Chinese aspect expressions. In the system, the semantics of different aspects is characterized by specific temporal and conceptual features. The semantic applicability conditions of each individual aspect are theoretically represented by an aspect selection function (ASF). The generation is realized by evaluating implemented inquiries which formally define the ASFs, traversing the grammatical network, and making aspect selections.

9p hongphan_1 14-04-2013 30 2   Download

The very idea of IP Mobility is to allow anyone from outside to call anyone inside the network. So, in such cases Network Address Translation/Firewall traversal is required selectively.

16p byphasse043256 24-03-2019 25 0   Download

This chapter extends your knowledge of query formulation to advanced matching problems. To solve these advanced matching problems, additional parts of the SELECT statement are introduced. This chapter continues with the learning approaches of Chapter 4: provide many examples to imitate and problem-solving guidelines to help you reason through difficult problems.

67p nanhankhuoctai9 23-06-2020 15 0   Download

In this paper we compare two grammar-based generation algorithms: the Semantic-Head-Driven Generation Algorithm (SHDGA), and the Essential Arguments Algorithm (EAA). Both algorithms have successfully addressed several outstanding problems in grammarbased generation, including dealing with non-monotonic compositionality of representation, left-recursion, deadlock-prone rules, and nondeterminism. We concentrate here on the comparison of selected properties: generality, efficiency, and determinism.

8p bunmoc_1 20-04-2013 33 2   Download