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The degree of certainty required for the detection If we need to detect intrusions under almost all conditions with minimal false positives then a very large percentage of nodes will need to execute the IDS The mobility scenario expected for the speci c application and mission For example, in a military environment, units tend to move together and be close to each other for a long period of time In such cases a small number of nodes running IDS placed within a unit may be able to detect most intrusions Mode of monitoring If nodes are capable of monitoring in the promiscuous mode whereby each node can receive and analyze any packet transmitted by any of its neighbors, then each node can monitor a larger portion of the traf c If this is not possible, then a node might be restricted to monitoring traf c that it relays In this case, each node can monitor a relatively smaller portion of the traf c A disadvantage of the promiscuous mode of operation, though, is the increased

Figure 118 Theoretical friction versus measured friction Each star represents a given class of road pro les We calculate the friction for each pro le in a class and performs an average: (a) originals pro les (correlation 04760); (b) denoised pro les (correlation 08565)

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115 H lderian regularity based interpolation 1151 Introduction A ubiquitous problem in signal and image processing is to obtain data sampled with the best possible resolution At the acquisition step, the resolution is limited by various factors such as the physical properties of the sensors or the cost It is therefore desirable to seek methods which would allow us to increase the resolution after acquisition This is useful, for instance, in medical imaging or target recognition At rst sight, this might appear hopeless, since we cannot invent information which has not been recorded Nevertheless, by making reasonable assumptions on the underlying signal (typically, a priori smoothness information), we may design various methods (note that we do not consider here the situation where several low resolution overlapping signals are available) However, most techniques developed so far suffer from a number of problems While the interpolated image is usually too smooth, it also occurs sometimes that on the contrary too many details are added, in particular in smooth regions In addition, the creation of details is not well controlled, so that we can neither predict how the high resolution image will look like, nor describe the theoretical properties of the interpolation scheme The main idea of [LEV 06] is to perform interpolation in such a way that smooth regions as well as irregular regions (ie sharp edges or textures) remain so after zooming This can be interpreted as a constraint on the local regularity; the interpolation method should preserve local regularity 1152 The method Let Xn be the signal obtained by sampling the signal X on 2n points The proposed method is strongly related to the estimator W CR described in section 1132 and follows the steps below: estimate the regularity by the W CR method: the regression of the logarithm of wavelet coef cients vs scale is calculated above each point t; the wavelet coef cients at the scale n+1 are obtained by the following formula: log2 | n+1,k | = x 2 n(n 1).

As we further refine and develop these activities, it is often useful to run them first in a beta-test format using a pilot project in order to generate a deeper understanding of the nature of the task in hand The pilot project makes it possible for us to test what works and what does not within our own organization, with the supply chain network, and most importantly with our customers Doing a project execution plan correctly represents a great challenge and should not be undertaken lightly We have the opportunity to create a business process that is expected to demonstrate to prospective customers, in great detail, the nature of the project delivery system we employ, the products we produce, the manner in which we can create value for the customer, and how we manage our supply chain throughout project development Done correctly, the PEP offers customers a clear window into our operations, demonstrating our project development expertise in such a way that it is going to reduce their perceived risk in selecting our firm as a contractor Done incorrectly, or with less than full attention to detail, the PEP can backfire: demonstrating our lack of expertise to potential clients This means that we have to ensure that the system we are composing actually fits for our purpose and meets our goals Before we enter into the pilot project, we have to do our homework carefully We need to have our mission and goals well defined and we also need to have the first revision of the contents and the format of our plan figured out At this point these do not have to be perfect; we understand that some changes are going to take place

log2 |xj,k |(3j n 2)

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