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Cellemetry data actually yields priority to regular cellular traffic, meaning that if there is too much cell traffic, no message will be sent, or rather, it will be sent later You re probably thinking, what if all these CRADS decide to send their data all at once causing an enormous data collision From what I ve gathered, the CRADS are programmed to respond randomly so you can rest assured that this month s meter read will get through and your electric bill will be right on time And despite its real and theoretical drawbacks, you can bet your ass that corporations and agencies abroad already have an eye on this technology and are probably signing contracts as you are reading this article Look for utility companies to implement this first, followed by.

The rst of these criteria, getting all of the relevant information available, is called recall Without good recall, we have no guarantee that valid, interesting results will not be left out of our result set We want the rate of false negatives, relevant results that we never see, to be as low as possible The second criterion, minimizing irrelevant information so that the proportion of relevant documents in our result set is very high, is called precision With too little precision, our useful results get diluted by irrelevancies, and we are left with the task of sifting through a large set of documents to nd what we want High precision means the lowest possible rate of false positives There is an inevitable trade-off between precision and recall Search results generally lie on a continuum of relevancy, so there is no distinct place where relevant results stop and extraneous ones begin.

Models Benchmarks Requirements Operational Simulations Plan Concept Software Requirements Detailed Development Software Design Requirements Plan Product Validation Design Code Integration Design Validation Unit Test and Test Plan and Verification Integration and Test Plan Next Acceptance Phases Test Develop and Verify Implementation Next Level Product

Believe it or not, Windows 95 doesn't provide a way for 32-bit applications to get the Free System Resources (FSR) value easily from a 32-bit program. Even when the standard Windows 95 utilities display the FSR in their About box, they're getting the value from a 32to-16-bit thunk in SHELL32.DLL. If you're writing a 32-bit program and want to calf an existing 16-bit system bit function (such as GetFreeSystemResources), you could spend a couple of hours (or days)learning the Windows 95 thunk compiler, and then write a pair of thunking DLLs. Ugh. There's got to be a better way. As I discuss in "The SetFocus function" section, USER32.DLL thunks dawn to USER.EXE all the time, yet it doesn't have separate 16- and 32-bit DLLs for thunking. Instead, the 32-bit SetFocus code uses the QT_Thunk function, which I described earlier in "The QT_Thunk routine" section. You can use this very same routine in your own programs, although it's a bit trickier to use than your standard Win32 APl function. It's an undocumented function (although you'll see that the THUNK.EXE thunk compiler emits references to it), and it requires that you use a bit of assembler to call it. Calling QT_Thunk in your code requires you to do two things. First, you have to put the 16:16 address to call into the EDX register. Second, you need to ensure that the code you're calling QT_Thunk from has an EBP stack frame set up and has at least 0x3C bytes of b c d storage that you're not relying on. This second requirement is because QT_Thunk builds the convoluted slack frame for calling the 16-bit code in the region below where your EBP register points at.

This is why the third criterion, ranking, is so important Ranking has to do with whether the result set is ordered in a way that matches our intuitive understanding of what is more and what is less relevant Of course, the concept of relevance depends heavily on our own immediate needs, our interests, and the context of our search In an ideal world, search engines would learn our individual preferences, so that they could ne-tune any search based on our past interests Google Search Algorithm The heart of Google search software is PageRank, a system for ranking Web pages developed by the founders Larry Page and Sergey Brin at Stanford University PageRank relies on the vast link structure as an indicator of an individual page s value Essentially, Google interprets a link from page A to page B as a vote, by page A, for page B.