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PDF Ebook Cocoa Application Tutorial

This document introduces the Cocoa application environment using the Objective-C language and teaches you how to use the Xcode Tools development suite to build robust, object-oriented applications. Cocoa provides the best way to build modern, multimedia-rich, object-oriented applications for consumers and enterprise customers alike. This document assumes you are familiar with C programming but does not assume you have previous experience with Cocoa or Xcode Tools.

This chapter covers the most common object-oriented design pattern used in Cocoa and shows how that paradigm is applied to application development. A design pattern is a template for a design that solves a general, recurring problem in a particular context. If you have done object-oriented design before, you may be wondering how that model fits into the world of Cocoa. This tutorial will help you understand what Cocoa is as an object-oriented framework. If you’ve done only procedural programming before, don’t worry. This tutorial also teaches the basics of the object-oriented programming. You will learn the MVC design pattern, which is a very common practice used by application developers.

Ebook The economic risk to electricity consumers of the Pebble Bed Modular Reactor

The objective of this report is to identify the measures that the National Electricity Regulator (NER) and the body that will succeed it on April 1 2006, the National Energy Regulator of South Africa (NERSA) must take to ensure that electricity consumers are not inappropriately exposed to the economic risk of the programme to develop and market a new design of nuclear power plant, the Pebble Bed Modular Reactor (PBMR).

The PBMR is a highly risky venture, with a significant probability that these risks will be borne, inappropriately, by South African electricity consumers. Large sums of money have already been spent by Eskom, of the order R1bn (see Section 4.2), but, over the next 5-10 years, electricity consumers could be asked to finance investment in the excess of R10bn for the demonstration phase of the PBMR including the purchase of the demonstration plant (see Section 4.3 and 5.2) and R36bn for purchase of commercial units (see Section 5.3).

Free Ocean Engineering Ebooks Reliability Transform Method

Since the end of the cold war the United States is the single dominant naval power in the world. The emphasis of the last decade has been to reduce cost while maintaining this status.
Free Ocean Engineering Ebooks Reliability Transform Method
As the Navy’s infrastructure decreases, so too does its ability to be an active participant in all aspects of ship operations and design. One way that the navy has achieved large savings is by using the Military Sealift Command to manage day to day operations of the Navy’s auxiliary and underway replenishment ships. While these ships are an active part of the Navy’s fighting force, they infrequently are put into harm’s way. The natural progression in the design of these ships is to have them fully classified under current American Bureau of Shipping (ABS) rules, as they closely resemble commercial ships. The first new design to be fully classed under ABS is the T-AKE. The Navy and ABS consider the T-AKE program a trial to determine if a partnership between the two organizations can extend into the classification of all new naval ships. A major difficulty in this venture is how to translate the knowledge base which led to the development of current military specifications into rules that ABS can use for future ships.

The specific task required by the Navy in this project is to predict the inherent availability of the new T-AKE class ship. To accomplish this task, the reliability of T-AKE equipment and machinery must be known. Under normal conditions reliability data would be obtained from past ships with similar mission, equipment and machinery. Due to the unique nature of the T-AKE acquisition, this is not possible. Because of the use of commercial off the shelf (COTS) equipment and machinery, military equipment and machinery reliability data can not be used directly to predict T-AKE availability. This problem is compounded by the fact that existing COTS equipment and machinery reliability data developed in commercial applications may not be applicable to a military application. A method for deriving reliability data for commercial equipment and machinery adapted or used in military applications is required.

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