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From this simple analogy it can be deduced that vertically upward ow in groundwater systems is not so strange as it might at rst seem In groundwater systems, a given packet of water will only be in contact with the atmosphere at the start and end of its subsurface ow path (and nowhere in between these two limits) Further re ection on Figure 31 reveals some important truths about the forces that drive water through long subsurface pathways (both in pipes and in systems of interconnected pores in rocks) Clearly the difference in elevation between the water tank and the tap is an important driver for.

CC/PP Exchange HTTP is typically used as the transport protocol for CC/PP description from client to server. However, potentially tens of components and hundreds of properties may be required to fully express the capabilities and preferences pro le of a user device. A pro le description can therefore be very large and transport of such description between the user device and the server can entail signi cant overhead.

Predicting unsaturated zone behavior under climatic conditions different from those for which recharge has been observed to date (see Section 9.2.3). Accounting for the processes affecting the movement of dissolved substances through the unsatur-

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It is intuitively clear that recoloring is a very powerful tool, and algorithms that are allowed to recolor are more powerful than those that are not Upper and lower bounds that confirm this are reported in the later sections An interesting challenge would be to develop algorithms that do allow recoloring but only a limited amount Alternatively, there could be a cost associated with recoloring, and the algorithm would have to minimize this cost along with other objectives, or keep the cost below a specified allowable limit As far as the author is aware, there has not been significant work in this area Another important issue concerns whether the algorithm uses centralized or distributed control Some algorithms are inherently centralized: they require knowledge of all nodes and their current assignments before being able to make an assignment.

One example of the damage that can be done to the world s computers from a safe haven is the Love Bug virus, spread in 2000. The virus ate computer files and absconded with thousands of passwords in only two hours, causing havoc. All the ATMs in Belgium shut down; 70 percent of the computers in Germany, the Netherlands, and Sweden were disabled; and England s Parliament and the U.S. Congress had to shut down their email systems for a time. Law enforcement was not spared. Some estimates say that as many as 80 percent of federal agencies were bereft of email for a time, an important tool for staying in touch with operatives all over the world. The U.S. Defense and State Departments, NASA, and the CIA were also victims. Where did the Love Bug come from The Philippines, where no cybercrime laws existed. The young student who was found to be the father of the bug was finally charged with theft and credit card fraud, not cybercrime. Because of legal technicalities between the Philippines and other countries, the student couldn t be extradited and was never held accountable for as much as $10 billion in damages resulting from his acts.

In this case, the problem was merely in the selection of terminology, or mismatch between the delity of the context measurement and the abstraction used to represent it. While meeting with in CW meant merely in the neighbourhood of , people took it quite literally. Aside from system-made inferences, one can leave room for the users themselves to reason about context data [21]. For example, the ContextContacts [25] application extends social awareness by providing contextual information about people appearing on the contact list of a mobile phone. The information is not interpreted in reference to some ontology, but summarised from raw data into a visual and easily digestible format. The extended senses approach takes into account that if the system does the inference on behalf of the users, it may take away the very thing that is meaningful for them. Kurvinen et al. [21] discusses how collaborative sense-making of sensor data during a football game helped the participants learn more about each other better and provided a joint perspective for viewing and experiencing the game. Also, as discussed in [19], as people initiate contexts themselves, instead of some system doing it for them, they often do this step-by-step, in subtle and socially considerate ways, taking into account possible con icting agendas or interests of the other participants.