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Excel s approach to storing toolbars can cause problems. Suppose you ve developed an application that uses a custom toolbar, and you ve attached that toolbar to the application s workbook. The first time an end user opens the workbook, the toolbar is displayed. When the user closes Excel, your toolbar is saved in the user s XLB file. If the user alters the toolbar in any way for example, if he or she accidentally removes a button the next time your application is opened, the correct toolbar does not appear. Rather, the user sees the altered toolbar, which now lacks an important button. In other words, a toolbar attached to a workbook is not displayed if the user already has a toolbar with the same name. In many cases, this is not what you want to happen. Fortunately, you can write VBA code to prevent this scenario. The trick is never to allow your custom toolbar to be added to the user s toolbar collection. The best way to do this is to create the toolbar on the fly every time the workbook is opened and then delete it when your application closes. With this process, the toolbar is never stored in the user s XLB file. You might think that creating a toolbar on the fly would be a slow process. As you ll see later in this chapter, creating toolbars with VBA is amazingly fast.
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Network management can be implemented through a centralized or distributed control method or a hybrid one A centralized method involves a centralized controller and is able to provide the global optimal solution but requires periodic global information gathering on network states at the centralized controller and has the weakness of scalability On the other hand, a distributed method has the advantages of scalability and easy collection of local inputs but may lead to local optimal solutions and longer convergence time of solution nding A recent research effort on distributed control is to apply the agent technology to intelligent network management and data harvesting Agents are autonomous entities that receive sensory inputs from the environment and then act on it using their effectors based on the knowledge they have of the environment [7].
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other SDH hierarchical levels are under consideration by CCITT (Ref. 5): 1,244,160 kbps; Level 8 Level 12 1,866,240 kbps.
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A multiagent system (MAS) allows for the distribution of knowledge, data, and resources among individual agents and its modularity supports the development and maintenance of complex highly reliable systems [8] Multiagent systems are also easier to scale up as they can speed up computation due to concurrent processing; they have less communication bandwidth requirements since processing is located nearer the source of information and facilitate real-time responsiveness as processing, sensing, and effecting can be colocated Several distributed control algorithms based on MASs are proposed to solve centralized control problems ef ciently and proved to converge to the global optimal solution [9 12] Various MASs have been deployed on wireless sensor networks (WSNs) and other distributed networks for data processing and energy conservation in an intelligent fashion [13 15].
Almost all psychologists maintain a professional manner. This entails observing appropriate professional boundaries (e.g., not discussing one s own problems) as well as behaving in an attentive, caring, and helpful manner. Professional manner also requires being physically and psychologically available to the patient during sessions. Psychologists should not, for example, take telephone calls, fall asleep, eat, be late for appointments, act impulsively, or allow themselves to be distracted from their patients during the session.
However, no existing work has addressed using MASs for cooperative network management for multiple WLANs and incorporated the dynamics of the interference environment into control decision making Although a considerable amount of research on radio resource management in a single WLAN has been proposed [16 19], cooperative resource management for multiple WLANs remains largely unexplored Moreover, few protocols and algorithms incorporate the prediction of dynamic RF operational statistics from interference environments and investigate the application of MASs for distributed intelligent network management Therefore, predictability-based cooperative resource management for multiple WLANs using MASs is proposed in this chapter Predictability-based approaches may capture the effects of the time-varying nature of network links It also helps determine the degree to which the state of the network can be reliably observed.
314 15
By using predictability-based management approaches with the help of MASs, the changing operating conditions of multiple networks and the potential interference to WLANs from diverse colocated devices can be captured in advance, and this information can be distributed timely through multiple agents, which may help the decision making of resource management In this chapter, we focus on how to adaptively manage shared systemwide resources under time-varying network conditions among multiple WLANs in WLAN/WPAN interference environments The impacts of both inter-WLAN cochannel interference and colocated interference sources from WPANs are.
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