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me You go to the house and set a room code and a unit code, and you ve just installed another smart device in your house That s what most people can handle Apparently, they can The X10 Zone (http:/ /wwwx10com) lists dozens of products that support what it calls wireless living A variety of wireless camera models is available, along with motion sensors and other security gear There are more wireless cameras There are entertainment devices that will transmit from a DVD or CD player to a device like a TV in a different room And there are more wireless cameras These devices don t seem to be smart for the most part; they communicate, but they re not particularly self -aware They see, but they don t understand what they re seeing But they re all about secrets.

The acquired stores contributed EUR 30 to Ahold s consolidated net sales and EUR (3) to Ahold s consolidated net income from October 30, 2006, to December 31, 2006. The goodwill is attributable to Giant-Carlisle. Konmar On May 31, 2006, Ahold entered into a purchase agreement with Laurus for the acquisition of 29 Konmar stores. On November 14, Ahold completed the acquisition of 27 stores. Of these 27 stores, 21 stores are operated by Albert Heijn, while six stores were transferred to and are operated by Schuitema. The remaining two stores are expected to be transferred to Albert Heijn upon the fulfilment of certain contractual conditions, which is expected in the first half of 2007. The allocation of the net assets acquired and the goodwill arising at the acquisition date is as follows:

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So what are we gonna attack We look at how a merchant redeems a certificate This is an insider attack because we ve been allowed to have a merchant account Well, we find a flaw in the redemption system, an application flaw that gave us arbitrary command execution on the box It was foolish, childish, no special skills needed you just gotta know what you re looking for I m not a cryptanalyst, not a mathematician I just know how people make mistakes in applications and they make the same mistakes over and over again On the same subnet with the redemption center, they have [a connection to] their mint the machine that makes the gift certificates We broke into that machine using a trust relationship.

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They make the people using them smarter, or at least more aware Did I tell you that the site has wireless cameras We ll return to X10com and all those wireless cameras later In the meantime, Neil Scott has more to say about what makes smart houses work Keep the VCR in mind A design must be clever on the inside, very very simple on the outside As one of my mentors said, My job is to make things simple, which doesn t mean making them dumb As an example, a lock on a door should know when you re allowed to go through or not So you can send a code from your Palm Pilot, and the door reads that code and knows whether you re allowed entry It works simply, but it s very sophisticated I m beginning to get the idea.

By using this architected approach, as illustrated in Figure 10.1, the enterprise will avoid the pitfall of having each department extracting different views of the enterprise's information. These inconsistent extractions lead to more unintegrated and inconsistent data. After all, the primary goal of decision support is to provide strategic, meaningful management information. The most ideal method of doing this is by focusing on developing integrated data; then, once this is done, passing it on to different departments that have various information needs. It is important to note that as the enterprise moves from the enterprise data model to the data warehouse data model to the departmental data warehouse, the models become more dependent on the particular enterprise. For instance, many parts of the logical data models in the prior chapters can be used by many different enterprises. The data warehouse data model is more specific to an enterprise because it is based on numerous assumptions concerning the type of decision support information that is considered useful to the enterprise. The departmental data warehouse is even more dependent on the specific needs of a department. Therefore, the data warehouse models presented later in this chapter and in subsequent chapters serve only as examples because each enterprise's data warehouse designs will be highly dependent on its own specific business needs.

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