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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(V + 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 f cient processor allocation, while the actual scheduling is performed with a list scheduling heuristic as discussed later for phase 2.

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PDF-417 is a stacked linear barcode used in variety of industrial applications including primarily transport, identification cards, and inventory management. PDF is short for Portable Data File. The term of 417 suggests that each pattern of a PDF-417 is 17 units long and consists of four bars and spaces. . Character Set: 128 ASCII characters; Extended ASCII (ASCII characters 128 . 3. Change the data type to "System.Byte[]". .Related: Print QR Code .NET Data, Word QR Code Generating , Print QR Code C# Data

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 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 In this case, regular nodes only need to listen to the beacon node and they never exchange messages among themselves.

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itextsharp replace text in pdf c#

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replace text in pdf using itextsharp in c#

find and replace text in pdf using itextsharp c#

replace text in pdf c#

find and replace text in pdf using itextsharp c#

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replace text in pdf c#

find and replace text in pdf using itextsharp c#

replace text in pdf c#

find and replace text in pdf using itextsharp c#

find and replace text in pdf using itextsharp c#