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In this article, we will learn how to work with Tesseract OCR in Java using the Tesseract API . What is Tesseract OCR ? Tesseract OCR is an optical character ...

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Depth rst search (DFS), 46 algorithm, 47 complexity, 46 Descendant, 43 DFG, see Data ow graph DFS, see Depth rst search DG, see Dependence graph Direct memory access (DMA), 231 Directed acyclic graph (DAG), 2, 40, 47, 62 maximum number of edges, 45 Distance vector, see Dependence, distance vector Distributed memory, see Memory, distributed Divide-and-conquer, 25 DLS, see Dynamic level scheduling DMA, see Direct memory access Dominant sequence, 132 135 de nition, 132 DRT, see Data ready time DSC, see Dynamic sequence clustering DSH, see Duplication scheduling heuristic Duplex full, 189, 193 half, 192, 193 Duplication scheduling heuristic (DSH), 138, 153 Dynamic level scheduling (DLS), 115, 118, 158, 190 Dynamic sequence clustering (DSC), 137 Earth Simulator, 9 Eccentricity, 13 (E)CPFD ((economical) critical path fast duplication), 149, 153 Edge, 40 counter directed, 193 directed, 41 nish time, 78, 247 contention model, 210 cost free communication, 87 nish time on link, 203 nish time on processor, 253 provisional, 253 incident on, 41 order dynamic, 132 static, 130 131, 144 parallel, 57 selection, 134 start time on link, 203 start time on processor, 240 undirected, 41 weight, 50, 57, 62, 210, 247



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7 Dec 2015 ... OCR with Java and Tesseract. Step 1: Preparation. Introduction. Step 2: Install the software. 3.1: Install the visual C++ Redistributable. Step 3: Create a test application in Eclipse. Step 4: Create a test application in Eclipse to do ocr on a pdf. Step 5: Scan a text in another language. Step 6: Get details on the ...

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Since A t $ tmon =m, the long-term input rate is mon =m. 2. The Output Process. There is a release rate function the release rate from the system when contents are at level x is r x : r; 0; if x > 0; if x 0:

3. The Stability Condition. Input does not overwhelm the release rate. This necessitates 1>r> mon : m 7:1





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Thrown when an exceptional arithmetic condition occurs. Thrown to indicate that an attempt has been made to store the wrong type of object in an array of objects. Thrown to indicate that an array has been accessed with an illegal index. Thrown to indicate that the code has attempted to cast an object to a subclass of which it is not an instance. Thrown to indicate that a method has been passed an illegal or inappropriate argument. Thrown when starting a Thread for the second time. Thrown when trying to read an Integer from a malformed String. Thrown to indicate that a thread has attempted to wait on an object s monitor or to notify other threads waiting on an object s monitor without owning the speci ed monitor. Thrown to indicate that an index of some sort (such as an index to an array, to a string, or to a vector) is out of range. Thrown by the charAt() method in class String and by other String methods, to indicate that an index is either negative or greater than or equal to the size of the string. Thrown if an application tries to create an array with negative size. Thrown when an application attempts to use null in a case where an object is required. Thrown by the security manager to indicate a security violation. Thrown by methods in the Stack class to indicate that the stack is empty. Thrown by the methods of an Enumeration to indicate that there are no more elements in the enumeration.

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Aspose . OCR for Java is a character recognition component that allows developers to add OCR functionality in their Java Web applications, Web services, and ...

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The restriction that r < 1 results from the normalization that work arrives at rate 1 during on periods and prevents the contents process from having 0 as an absorbing state. 4. The contents process fX t g satis es the storage equation dX t dA t r X t dt: Note that during an on period, the net input rate is 1 r since work is inputted at unit rate but the server works at rate r. During an off period, the release rate is r

Edge scheduling, 203 209, 240, 246 aligned, 205 concept, 190 condition, 208 causality, 204 on a processor, 245 de nition, 208 heterogeneous links, 208 involvement-contention, 246 nonaligned, 205 on a processor, de nition, 245 on route, 204 208 order, 211, 217, 254 packet view, 206 provisional, 252 Edge zeroing, 123 124 implicit, 124, 129 multiplicity, 124 edge, 124, 128 node, 124, 135 path, 124, 127 Ef ciency, 222 Elitism, 176, 181 Embedded systems, 154 Encoding permutation, 172 value, 172 End technique, 109 111 de nition, 110 optimal, 110 Estimated parallel time (EPT), 123 ETF (earliest time rst), 115, 118 Evaluation, 171 Evolution, 170, 177 Execution order, 23, 52 self-timed, 60 time, 155 average, 155 Fast Fourier transform (FFT), 38 Feasibility, 55 Feasible, 106 See also Schedule, feasible FG, see Flow graph FIFO, see First in rst out Finish time, see Edge; Node; Processor Finish time minimization, 157 First in rst out, 46, 60 Fitness function, 171, 176 177 de nition, 176 Flow control, 202

(provided there is liquid to release). This means the paths of X are sawtoothed shaped. 7.2.3.1 cess is Regeneration Times Recall that the stationary alternating renewal pro Sn D

Xi Yi ; n ! 0 :

Since the contents process is stable, we can de ne regeneration times fCn g : fSn : X Sn 0g; which are times when a dry period ends and input commences. So the standard limit theorems due to Smith for regenerative processes [45] guarantee limit distributions exist in discrete and continuous time: P X Sn > x 3 1 W x ; P X t > x 3 1 V x :

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