System patterns

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  • During the many Java™ programming language courses we teach, we have found that only a few programmers know what design patterns are when asked. About one in ten is able to name a few patterns off the top of his or her head. Of course, the concepts behind the patterns are familiar to many programmers. When we demonstrate patterns in the classroom, developers know and recognize them.

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  • In these patterns XML proves to be a smart way to achieve the goal. Through examples, we show precise solutions that can be used alone or combined. They can be especially useful when developers need to get data that belong to opaque systems, when the separation of data from processing is a must, and when data have to cross platform boundaries.

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  • Over the past decade, PHP has transformed itself from a set of simple tools for web site development to a full-fledged object-oriented programming (OOP) language. PHP now rivals mainstream languages like Java and C# for web application development, with more and more enterprises turning to it to power their web sites. The reasons for this are clear: PHP has found the right combination of an easy-to-learn language and powerful features.

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  • Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements.

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  • The chapters in this introductory section are intended to answer the following questions:  What is an embedded system?  What is a time-triggered system and what are the alternatives?  Why are time-triggered systems generally considered to be more reliable than systems based on different architectures?  What is a software pattern?  How can patterns assist in the creation of reliable embedded applications

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  • Well known and established techniques, which allow obtaining intense laser pulses, have led to the development of advanced laser system used in science and various industries. Often at times, they combine Q-switching and mode-locking techniques in a single device to achieve unprecedented average pulse powers (e.g. HiLASE, HiPER, ELI, NIF, LiFE) for scientific applications, such as secondary sources of EUV, X-ray or particles, or as inertial confinement fusion (ICF) drivers.

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  • The history of the DWARF project The starting point of developing an Augmented Reality system at the Technische Universit¨at M¨unchen was the course “Erweiterte Realit¨at: Bildbasierte Modellierung und Tragbare Computer”. It was part of the 1999 summer school organized by the Technische Universit¨at M¨unchen and the Friedrichs- Alexander Universit¨at Erlangen-N¨urnberg. Prof. Bernd Br¨ugge and Prof. Gudrun Klinker had the vision that software engineering and Augmented Reality would have a stimulating influence on each other.

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  • Technical Analysts often find a system or technical method that seems extremely profitable and convenient to follow - one that they think has been overlooked by the professionals. Sometimes they are right, but most often that method doesn't work in practical trading or for a longer time. Technical analysis uses price and related data to decide when to buy and sell. The methods used can be interpretive as chart patterns and astrology, or as specific as mathematical formulas and spectral analysis. All factors that influence the markets are assumed to be netted out as the current price....

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  • This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus of 60 development and 60 test stories of 3rd to 6 th grade material; each story is followed by short-answer questions (an answer key was also provided).

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  • Chapter 15 - Computer security techniques. After studying this chapter, you should be able to: Assess the key security issues that relate to operating systems, understand the design issues for file system security, distinguish among various types of intruder behavior patterns and understand the types of intrusion techniques used to breach computer security, compare and contrast two methods of access control.

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  • Natural language questions have become popular in web search. However, various questions can be formulated to convey the same information need, which poses a great challenge to search systems. In this paper, we automatically mined 5w1h question reformulation patterns from large scale search log data.

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  • This paper introduces a method for the semi-automatic generation of grammar test items by applying Natural Language Processing (NLP) techniques. Based on manually-designed patterns, sentences gathered from the Web are transformed into tests on grammaticality. The method involves representing test writing knowledge as test patterns, acquiring authentic sentences on the Web, and applying generation strategies to transform sentences into items.

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  • Chapter 1 - An introduction to integrated enterprise information systems. The objectives of this chapter are to provide a definition for integrated enterprise information systems, discuss the need for integrated information systems in enterprises, and assess the extent to which current enterprise information systems are integrated.

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  • Chapter 2 - Representation and patterns: an introduction to the REA enterprise ontology. The objective of this chapter is to help you understand how to analyze and create representations of enterprises that serve as the core foundation for their information systems.

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  • Chapter 3 - The REA enterprise ontology: Value system and value chain modeling. The objectives of this chapter are to describe the components of a typical enterprise's value system and value chain and to discuss the procedures for developing models of enterprise value systems and value chains.

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  • Chapter 4 - The REA enterprise ontology: Business process level modeling. The objective of this chapter is to present a template pattern for modeling enterprise business processes (transaction cycles) that serves as the structure for an enterprisewide database.

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  • Chapter 14 - Enterprise system risks and controls. A consideration of utmost importance for enterprise system designers, managers, and auditors is the consideration of risk and control. The objective of this chapter is to introduce some types of risk that occur in enterprises and discuss how these risks may be lessened by controls designed into enterprise information systems. This chapter uses the REA pattern as a framework for identifying types of risks and controls to mitigate those risks.

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  • Chapter 15 - ERP systems and e-commerce: Intra- and inter-enterprise modeling. One objective of this chapter is to compare the REA enterprise ontology with current developments in enterprise resource planning (ERP) systems and electronic commerce (e-commerce) in the context of the types of integration introduced in Chapter 1. The prospects for progress in using the REA enterprise ontology as a foundation for intra-enterprise systems (similar to ERP systems) and for inter-enterprise systems needed for seamless e-commerce are discussed.

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  • In this paper, we adopt an n-best rescoring scheme using pitch-accent patterns to improve automatic speech recognition (ASR) performance. The pitch-accent model is decoupled from the main ASR system, thus allowing us to develop it independently. N-best hypotheses from recognizers are rescored by additional scores that measure the correlation of the pitch-accent patterns between the acoustic signal and lexical cues.

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  • Detecting the linguistic scope of negated and speculated information in text is an important Information Extraction task. This paper presents ScopeFinder, a linguistically motivated rule-based system for the detection of negation and speculation scopes. The system rule set consists of lexico-syntactic patterns automatically extracted from a corpus annotated with negation/speculation cues and their scopes (the BioScope corpus).

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