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Complexity In comparison to contention aware list scheduling, the time complexity under the involvement contention model does not increase The additional scheduling of the edge on the processors increases the effort to implement the algorithm, but it does not modify its time complexity For example, the complexity of the second part of simple list scheduling (Algorithm 9) with start/ nish time minimization and the end technique is O(P + EO(routing))) (see Section 751) Also, the complexity does not increase for the insertion technique (Section 61), even though the individual scheduling of a node and an edge on a processor is more complex In the involvement contention model, there are more objects on the processors, namely, nodes and edges, which must be searched to nd an idle time interval On all processors there are at most O(V + E) nodes and edges; hence, the total complexity for the scheduling of the nodes increases from O(V2 ), under the contention model, to O(V(V + E)) The scheduling of the edges on the processors is O(E(V + E)), compared to O(PE) with the end technique, and on the links it remains O(PE2 O(routing)) Hence, the total complexity of the second part of simple list scheduling with start/ nish time minimization and the insertion technique is O(V2 + VE + PE2 O(routing)), that is, O(V2 + PE2 O(routing)), as under the contention model (Section 751) 842 Two-Phase Heuristics The generic form of a two-phase scheduling algorithm was already outlined in Algorithm 13 The rst phase establishes the processor allocation and the second phase constructs the actual schedule with a simple list scheduling heuristic, as described in Section 52 The next paragraphs discuss how such an algorithm is applied under the involvement contention model Phase 1 Processor Allocation The processor allocation can originate from any heuristic or can be extracted from a given schedule For example, a schedule produced under the classic or contention model might serve as the input (see also Section 52) Using the rst two steps of a clustering based heuristic, that is, the clustering itself and the cluster-to-processor mapping (Algorithm 14, Section 53), is very promising, because clustering tries to minimize communication costs, which is even more important under the involvement contention model The clustering itself can be performed under the classic or, as described in Section 753, under the contention model Even the involvement contention model can be used with a straightforward extension of the considerations made in Section 753 Genetic Algorithm In Sinnen [172] and Sinnen et al [180], a genetic algorithm, called GICS (genetic involvement contention scheduling), is proposed for the determination of the processor allocation The simple idea is that the genetic algorithm searches for an ef cient processor allocation, while the actual scheduling is performed with a list scheduling heuristic as discussed later for phase 2.

c# remove text from pdf

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The data loads must continue to run as planned, and each load must have a quality assurance step to monitor the data s accuracy Most successful data warehouses generate a need for more data, more reference data, and the inclusion of more sources Adding new data sources is usually done by creating a new project and following the principles discussed throughout this book More time and energy are needed to maintain the data that you have already started with Once the ETL system is developed, it should not be moved into production to simply run for the next ve years Changes and tweaks will always be made to the underlying source systems This can affect what ows to the ETL system It may be small changes that have minimal impact, but sometimes signi cant changes are required to the ETL processing These changes are often the result of modi cations to the underlying source systems Examples of source system changes that impact the ETL system include the following: Changes to how data elements are used For example, if there is a change to how pricing is performed, the data may be stored in all the same elds as before, but the contents may now contain pricing tiers, rather than an actual price Modi cations to key identi ers, such as changing all of the customer IDs The addition of new functionality that introduces new data This is usually done via a major enhancement to a system to add screens for additional input or the development of new modules Expansion of reference data to enable new and improved values for example, adding more transaction types to be more speci c about what business transaction occurred Changes to the underlying systems are made both to correct problems and to provide support for new features that are needed by the business Because the data warehouse often deals with multiple source systems, a steady stream of changes is usually occurring to keep the existing ETL system working Communication with each of the source system development teams can help ensure that the data warehouse is aware of the changes that are coming Even the most diligent and cooperative source system teams can orget about the data warehouse at times You need to be proactive with your communication so that everybody has a good understanding of what they are working.

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Using Barcode printer for VS NET Control to generate, create QR Code IS X 0510 image in NET framework applications Using Barcode decoder for NET framework Control to read scan read, scan image in NET applications A technique similar to SeRLoc is used in HiRLoc 24], which has a greater accuracy but an increased computational and communication complexity Techniques like these can be used to protect the Localization Algorithm Component Another simple and secure algorithm is the already-mentioned Localization with a Mobile Beacon (MBL) [23] Although MBL is not designed to be a secure algorithm and the authors do not mention anything about security in their work, the algorithm used in the MBL is quite simple, where a mobile beacon walks the network and broadcasts its position information to near nodes.

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In this case, regular nodes only need to listen to the beacon node and they never exchange messages among themselves By being a simple single-hop algorithm, this localization system is secured against a number of distributed attacks such as the wormhole attack 1846 Comparison of Current Solutions A widely known fact in network security is that there is no system that is totally safe and secure There will always be weak points and the question is simply whether they are acceptable In WSNs, this issue becomes a little more complicated due to resource limitations In this case, we need to decide on the required level of security, which is application-dependent, and how many resources can be spent in providing these levels of security Depending on this cost bene t analysis, we can decide which solution or what security techniques will be used to secure the WSN.

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In Table 181, we compare each of the studied proposals, showing which type of security they use as well as some observations about them and their potential weaknesses As we can see, most security proposals rely on some kind of lightweight cryptography as a second line of defense combined with other security techniques such as misbehavior detection, robust position computation, location veri cation, and simple algorithms combined with extra hardwareRelated: .

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n almost universal Flash technique, a preloader shows the iewer how much of the movie has been loaded Of course, it s better to make your Flash movies small, so your viewers don t have to wait at all But, for when you re overly ambitious .Create some animation that repeats over and over while your movie is loading We use a simple animation that isplays the letters LOADING one after another.Using Barcode printer for .NET Control to generate, create barcode image in NET framework applications.Related:

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Translate fact values for ease of use: The business measures needed for reports may be different from how the data is stored in source systems It is helpful to convert data to a common unit of measure for reporting If a sales transaction records the sale of one case, this may be a case of 24 individual units or perhaps 36 individual units Converting all of the sales to the individual units ensures consistent and meaningful reporting Additionally, many facts work together For example, the number of units sold, price, and dollar amount sold are all useful facts Only two of these need to be stored physically; the third can be calculated on-the- y To make this as fast as possible, it is helpful to store the two facts that are used most often Unravel source system logic: In any instances, the source system has core data stored in a manner to help that system run fast and enable each module to be relatively self-contained This may mean that the pieces that are needed to get a complete picture of a sales transaction may be stored in several places or tables To make things more challenging, there may be no direct links between these tables, although there may be a series of translation and lookup tables that are needed to get to the bottom of things This may be why the data is so hard for you to use in the source system The details are all there, but you need to understand the secret handshakes in order to get to the real numbers The ETL system can apply this logic to provide the real sale numbers to be loaded into a fact table This is done once and then everyone can access these facts without having to learn all of these details Perform complex calculations: Many calculations can be done when creating a report or accessing data in an ad hoc manner However, some calculations may be too complex and long-running to perform on-the- y The ETL system can perform these calculations and store the results as facts, which can then be directly accessed for reporting Figure 10-2 shows a general data ow diagram to build the sales fact table just described In addition to the functions described here, a great deal of work is also required to address anomalies and challenges in the data Often these challenges surface when the ETL system is being developed No matter how carefully the data is pro led in advance or how much detail is included in the design, new and unexpected things will show up in the data The goal is to design the ETL system to be able to gracefully identify and address the unexpected.

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c# remove text from pdf

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c# remove text from pdf

c# remove text from pdf

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c# remove text from pdf