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Many modern operating systems and run-time environments provide explicit dynamic linking APIs [WHO91] that enable the configuration of applications on-demand: UNIX defines the dlopen(), dlsym(), and dlclose() API that can be used to load a designated dynamically linked library (DLL) into an application process explicitly, extract a designated factory function from the DLL, and unlink/unload the DLL, respectively [Ste98]. Win32 provides the LoadLibrary(), GetProcAddr(), and CloseHandle() API that perform the same functionality as the UNIX DLL API [Sol98]. Java's Java.applet.Applet class defines init(), start(), stop(), and destroy() hook methods that support the initializing, starting, stopping, and terminating of applets loaded dynamically. However, configuring services into applications on-demand requires more than dynamic linking mechanisms it requires patterns for coordinating (re)configuration policies. Here the design challenges are two-fold. First, an application must export new services, even though it may not know their detailed interfaces. Second, an application must integrate these services into its own control flow and processing sequence transparently and robustly, even at run-time. 2, Service Access and Configuration Patterns, presents four patterns for designing effective programming APIs to access and configure services and components in standalone and networked software systems and applications. These patterns are Wrapper Facade (47), Component Configurator (75), Interceptor (109), and Extension Interface (141).

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External faults may occur at the terminals or in the power cable between the switchboard and motor. Internal faults may occur between two turns of the same phase or different phases following the deterioration of the insulators. They produce considerable phase-to-phase overcurrents. Protection may be ensured by the following methods: By independent time phase overcurrent protection devices for equipment with circuit-breaker. The current threshold must be set above the starting current, e.g. I set = 1.3 I st , with a time delay of roughly 0.1 second.

The rst problem above needs to be addressed by closing the feedback loop between network status and network recon guration. A policy-based management system allows the network operator to enter management objectives as policies into the management system, and it ensures automatic enforcement of these policies so that no further manual action is required on the part of the network operator. The second problem indicates that the interactions between network status gathering and network recon guration need to be expressible in a exible, user-friendly manner, so that these interactions can be customized as needed based on possible changing management goals. This problem is accentuated in military scenarios, where missions are typically short-lived (72 hours or less) and the requirements of each mission require that the network and its mode of management be tailored to the needs of the mission [Chadha 2006b]. For example, certain missions in enemy territory require stronger encryption for over-the-air communications than missions in friendly territory; the nature of communications in different missions may dictate different bandwidth allocations for QoS queuing mechanisms for each mission; certain missions may be particularly sensitive to jamming and interception; and so on. In order to tie together the operations of FCAPS, there is a need to add another component to FCAPS: the Policy Management component, used to provide the glue between FCAPS functions. The Policy Management component is used to:

where ep x is the aperture distribution of an element and x = 10 0 /N is the element size. For simplicity we assume uniform aperture distribution of an element, so the element pattern becomes

MCS-1 MCS-2 MCS-3 MCS-4 MCS-5 MCS-6 MCS-7 MCS-8 MCS-9