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FreeOCR is Optical Character Recognition Software for Windows and supports scanning from most Twain scanners and can also open most scanned PDF's and multi page Tiff images as well as popular image file formats. FreeOCR outputs plain text and can export directly to Microsoft Word format.

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Figure 16.13 compares the results of RDSVM to those of GMCE + LDA, LDA and SVM. Observations from the results can be summarized as follows: Compared to SVM, the performance of RDSVM on the full-dimensional feature space is improved on training data. RDSVM s performance on testing data (on the full-dimensional feature space) is also improved on some subdirectories and remains the same on the rest. The performance of RDSVM on training data is poorer than that of GMCE + LDA and LDA in both medium- and high-dimensional feature spaces (dimensions 12 21). In very low-dimensional feature spaces (dimensions 3 and 4), RDSVM performs better on training data than LDA and GMCE + LDA. On the other dimensions, the performance of RDSVM is between that of GMCE + LDA and LDA. The general performance of RDSVM on testing data is much better than that of GMCE + LDA and LDA on all dimensions. In some subdirectories, the recognition rates of RDSVM are over 5 % ahead of those of GMCE + LDA on average on all dimensions.



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8 May 2019 ... Most of the OCR apps work well with scanned documents, but not so much with handwritten texts. So, let's find out the best of them which do.

How can you tell whether ElementToGet + 1 was calculated within the if statement or if it was calculated into a variable first You don t really know for sure, but when you look at all the references to EBX in Listing 5.2 you can see that the value ElementToGet + 1 is being used repeatedly throughout the function. This suggests that the value was calculated once into a local variable and that this variable was used in later references to the incremented value. The compiler has apparently assigned EBX to store this particular local variable rather than place it on the stack. On the other hand, it is also possible that the source code contained multiple copies of the statement ElementToGet + 1, and that the compiler simply





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However, a drawback for using their algorithm in WSN is that only one node initiates the clustering process, which can provoke the loss of an entire subtree if one of the higher-level nodes in the tree suffers a failure Additionally, this protocol still requires O(n) time in linear networks, where n is the entire size of the network, which is outperformed by other protocols as we will show ahead 732 Localized Protocols and Emergent Algorithms In contrast with centralized algorithms, localized algorithms are characterized by reducing the amount of central coordination necessary and only require each node to interact with its local neighbors Emergent algorithms are a class of localized algorithms The emerging localized algorithms have the additional characteristic that the individual agents (ie, sensor nodes) only encode simple local behaviors and do not explicitly coordinate on the global scale.

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A localized protocol for a sensor network is a protocol in which each sensor node only communicates with a small set of other sensor nodes within close proximity in order to achieve a desired global objective Locality reduces the chances for protocol failure due to transmission errors and node failure In reference 20, the authors present an emergent algorithm called ACE (Algorithm for Cluster Establishment) The goal of ACE is to select the smallest set of cluster heads such that all nodes in the network belong to a cluster The problem is similar to the minimum dominating set problem in graph theory In ACE, the sensors are considered stationary and with uniformly random coordinates in the sensor eld.

65 Recognition rate (%) 60 55 50 45 40 2 (a) 50 Recognition rate (%) 48 46 44 42 40 2 4 6 8 10 12 Dimension 14 16 18 20 22

optimized the code by automatically declaring a temporary variable to store the value instead of computing it each time it is needed. This is another case where you just don t know this information was lost during the compilation process. Let s proceed to the next code sequence:

The proposed algorithm is completed in constant time regardless of the size of the network, and it consists of two logical parts: The rst part controls how clusters can spawn (by having a node elect itself to be leader), and the second part controls how clusters migrate dynamically to reduce overlap The sensors continually compute the clusters, without the necessity of a speci c event This makes the protocol suitable for proactive networks ACE results in a highly uniform cluster formation that can achieve a packing ef ciency close to hexagonal close-packing, which minimizes the overlap between uniform circular clusters while ensuring full coverage ACE is scaleindependent (it is completed in constant time regardless of the size of the network) and operates without requiring geographic knowledge of node positions or any kind of distance or direction estimation between nodes..

7C962501 7C962503 7C962505 7C962507 7C962509 7C96250B 7C96250D 7C96250F 7C962511 CMP ESI,EBX JE SHORT ntdll.7C962554 JBE SHORT ntdll.7C96252B MOV EDX,ESI SHR EDX,1 CMP EBX,EDX JBE SHORT ntdll.7C96251B SUB ESI,EBX JE SHORT ntdll.7C96254E

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