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The desktop service provider is initialized when the service manager calls the IReplStore::Initialize method: HRESULT Initialize(pReplNotify, uFlags); pReplNotify is a pointer to the IReplNotify instance created by the service manager. uFlags indicates why the store is initialized. This can be ISF_REMOTE_CONNECTED, indicating that the service provider is initialized while the device is connected. A uFlags value of ISF_SELECTED_DEVICE indicates that the provider is initialized for a particular selected device. This would occur when a PC with multiple partnerships is connected to a device, that is, if a particular PC has been set up to connect to more than one device. (Note that a given PC can connect with no more than two devices.) Generally, a PC has a partnership with only one Windows CE device. Therefore uFlags will be zero, indicating that the PC is initializing a service provider for that one device. Service providers use the Initialize method to open the data store for the particular application and read the data store objects into the IReplStore object s internal data structures. In the case of the phone list application example in this chapter, the desktop service provider uses the Initialize method to read the phone entry data from the flat file in which the data is stored: STDMETHODIMP CStore::Initialize( IReplNotify *pNotify, UINT uFlags) { char pszFile[MAX_PATH]; HRESULT hr = NOERROR; m_uFlags = uFlags; m_pNotify = pNotify; hr = Open(TRUE); if (FAILED(hr)) { /* Display a message box indicating the data store file could not be opened. */ if (SUCCEEDED(hr)) { m_uFlags |= ISF_INITIALIZED; } return (hr);

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Function Reverse(InString) as Variant If a string, returns its argument, reversed Otherwise returns #N/A error Dim i as Integer, StringLength as Integer

The sh and the turtle both face the same problem, but their solutions are very different and depend in part upon their physiology and ecology. Within a species or population alternative behavioral strategies are common. Investigating the underlying factors that explain this situation often leads to a greater understanding of the behavior itself.

Both BTTV and IVTV-based chipsets can peacefully coexist in the same system with a few adjustments to the /etc/modprobe.conf file. Wilson provides his configuration online, and we produce it here:

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areas speci c to sensor networks Figure 71 illustrates a rough classi cation of applications of physical time: (a) at the interface between the sensor network and an external observer, (b) among the nodes of the sensor network, and (c) at the interface between the sensor network and the observed physical world The following paragraphs discuss applications of time in these three domains Note that some applications are hard to assign to a single domain In such cases, we picked the most appropriate domain 7111 Sensor Network: The Observer In many applications, a sensor network interfaces to an external observer for tasking, reporting results, and management This observer may be a human operator or an autonomous computing system Tasking a sensor network often involves the speci cation of time windows of interest such as only during the night.

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Since a sensor network reports observation results to an external observer, temporal properties of observed physical phenomena may be of interest For example, the times of occurrence of physical events are often crucial for the observer to associate event reports with the originating physical events Physical time is also crucial for determining properties such as speed or acceleration 7112 Sensor Network: The Real World In sensor networks, many sensor nodes may observe a single physical phenomenon One of the key functions of a sensor network is hence the assembly of those distributed observations into a coherent estimate of the original phenomenon: this process is known as data fusion Time is a key ingredient for data fusion For example, if sensors can only detect the proximity of an object, then higher-level information (such as speed, size, or shape) can be obtained by correlating data from multiple sensor nodes.

1. S. Deering, Host extensions for IP multicasting, RFC 1112, August 1989, available at http://www.ietf.org/rfc/rfc1112.txt. 2. S. Paul, Multicasting on the Internet and Its Applications, Norwell, MA: Kluwer Academic Publishers, 1998. 3. S. Corson and J. Macker, Mobile ad hoc networking (MANET): Routing protocol performance issues and evaluation considerations, RFC 2501, January 1999, available at http://www.ietf.org /rfc/rfc2501.txt. 4. C.-C. Chiang, Wireless Network Multicasting, PhD dissertation, University of California, Los Angeles, Department of Computing Science, 1998. 5. C. E. Perkins, Mobile IP Design Principles and Practices, Reading, MA: Addison Wesley, 1997. 6. C. E. Perkins, IP mobility support, RFC 2002, October 1996, available at http://www.ietf.org/ rfc/rfc2002.txt. 7. S. Deering, D. Estrin, D. Farinacci, V. Jacobson, C.-G. Liu, and L. Wei, The PIM architecture for wide-area multicast routing, IEEE/ACM Transactions on Networking 4, 153 162, 1996. 8. T. Ballardie, P. Francis, and J. Crowcroft, Core based trees (CBT), in Proceedings of the

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The velocity of a mobile object, for example, can be estimated by the quotient of the spatial and temporal distances between two consecutive sightings of the object by different sensor nodes Since many instances of a physical phenomenon can occur within a short time, one of the tasks of a sensor network is the separation of sensor samples, that is,.

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