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Figure 10.4 Visualization of the potential table P(C | A, E) of the imaginary example. Dark circles correspond to failing cars (C = y), light gray ones to functioning ones (C = n). The cross-haired circle clearly stands out, revealing the manually implanted outlier, that is, the higher failure rate of vehicles with A = a1 and E = e1 .
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with the heuristics of measuring case-base competence to guide the maintenance procedures [33,34,51 53]. However, most of the current competence heuristics provide only coarse-grained estimates of competence. For example, Smyth and McKenna [54 59] and Smyth and McClave [60] employed a case deletion policy guided by a category-based competence model, where the cases are classi ed in only four basic competence categories. Zhu and Yang [61] provided a case addition policy based on the concept of case neighborhood, which is a coarse approximation of case coverage. Modeling case-base competence becomes a crucial issue in the eld of CBM. Smyth and McKenna proposed a competence model, where the concept of competence group is introduced due to the overlapping of individual case coverage and is de ned in such a way that there are no overlaps within the case coverage in different competence groups. Group size and density have been considered in the de nition of group coverage. Then the overall case-base competence can be computed simply by summing up the coverage of each group. However, the distribution of each group is not taken into account in this model. More speci cally, it always assumes that the distribution of cases in each group is uniform, which sometimes leads to over- or underestimation of case-base competence. This problem is addressed by adopting a fuzzy integral based competence model to compute the competence of a given CBR system more accurately. Consider a competence group; we rst repartition it to ensure that the distribution of cases in each newly obtained group is nearly uniform. Since there are overlaps among the coverage of different new groups, fuzzy measures (nonadditive set functions) can be used to describe these overlaps because of their nonadditive characteristics. Fuzzy integrals are the corresponding integrals with respect to these fuzzy measures. As the most important tools of aggregation in information fusion, fuzzy integrals are appropriate here for computing the overall case-base competence of a CBR system. Some type of fuzzy measure, together with the corresponding fuzzy integral, the Choquet integral [62 64], are adopted in this approach. Next we describe brie y fuzzy measures and fuzzy integrals. 5.5.1 Fuzzy Measures and Fuzzy Integrals
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(DVB-H) intended for mobile use [10]. Each user is allocated a set of sub-carriers, with the OFDM principle as shown in Figure 2.8. Unlike with SC-FDMA, the Inverse Fast Fourier Transform (IFFT) is now based at the transmitter end. With this structure there is the resulting situation that parallel sub-carriers carry di erent information, thus the envelope characteristics of the signal su er from that. This is bad for terminal power ampli ers and was the key motivation not to adopt OFDM for the uplink direction. The motivation for new radio access is, on the other hand, the long-term capacity needs and, on the other hand, the resulting complexity of implementing high data rates up to 100 Mbps. Of the proposals considered, multi-carrier WCDMA was seen as too complicated especially from the terminal point of view. On the other hand, frequency exibility, as shown in Figure 2.9, enabled with the new access technology, is attaining a
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In the introduction to this chapter we indicated that one of the motivating factors for persistence is object activation and deactivation. Activation and deactivation are implemented by object adapters. One of the C O R B A object adapters is the Portable Object Adapter
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Pathology notes (continued)
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It should hardly need saying that the most effective way to get customers to access a site when they are not driven by an immediate need to purchase something, is to make the site interesting and relevant to them. This also applies when information is pushed to them. Numerous studies show that people do not want to reminded of the status quo; they prefer to be told only when things change. (And only when these changes are relevant .) Thus it becomes important to construct sites so that they can easily incorporate changes and to be generating suf cient items of interest. We have mentioned various channel-creation tools and services. Once the initial novelty of being on the Web has died, the on-line team need to devote considerable energy to assisting the functional departments, particularly marketing, in their need to manage the Web site, so that decisions are business-led rather than left to the Web-master. We see a progressive increase in cost in this area once the Web site becomes at least one of the prime interfaces with customers. Traditional skills such as merchandising will become integrated into the Web-based channel. Therefore, there will need to be tools and packages developed to allow this to happen, using people who are not IT experts. In the same way as functional departments wrenched away many of the powers of centralised IT a few years ago, they will take control of the Web channel. Their requirements will be complex and involve end-to-end integration, relat-
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The client components in the case study were implemented in Java, which means that they can be downloaded from a web server. Updating the copy on the web server implements migration to new versions of the client. Moreover, Java was chosen in order to ensure that the clients run on a number of different platforms, including web browsers and set-top boxes. The server objects were implemented in C , mainly because they had to perform efficiently on Unix servers. Hence, the video-on-demand system is a distributed system consisting of heterogeneous components. The video-on-demand system uses an object-oriented middleware. We will revisit this form of middleware throughout the book. It supports the definition of interfaces of the server objects in a way that is independent of programming language, network and hardware. It manages the communication between client and server objects that is necessaryto locate the server that holds a desired video and to select the video to be downloaded. The system exhibits all of the characteristics of distributed systems that we discussed in the previous section. The components are autonomous and heterogeneous: client components are written in Java. They operate in web browsers or set-top boxes. The servers operate on Unix hosts. The servers are shared components while each customer has an unshared client object. The system is inherently concurrent, given that there are 90,000 potential users. Although it is unlikelythat all subscribers will decide to watch a video at the same time, there are probably several hundred concurrent users at any point in time. Finally, there are also multiple points of failure as each of the set-top boxes/web browsers, the network link or the servers might be overloaded or fail.
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