The purpose of this study is to streamline the time in the process of archiving and scanning documents at government or private offices and to implement batch programming and blind scanner server applications in the s...
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The purpose of this study is to streamline the time in the process of archiving and scanning documents at government or private offices and to implement batch programming and blind scanner server applications in the scan process automatically. The research method used in this study is to use descriptive analysis methodology, which has two stages, namely the stage of data collection and software development stage. Based on the results of testing for this study, this research can make it easier for government or private offices to search for archives that have been scanned. This research can speed up the process of scanning document archives in government or private offices and integrating all scanning documents on one server. The lack of this research has not been able to convert letter images to ASCII characters that can be recognized by computers. The impact of this study is to provide benefits to government and private offices to accelerate the process of scanning the archives and integrating all scanning documents on one hardware.
The proceedings contain 12 papers. The special focus in this conference is on Semantics, applications, and Implementation of Program Generation. The topics include: Generative programming and software system families;...
ISBN:
(纸本)3540425586
The proceedings contain 12 papers. The special focus in this conference is on Semantics, applications, and Implementation of Program Generation. The topics include: Generative programming and software system families;accomplishments and research challenges in meta-programming;a semantics for advice and dynamic join points in aspect-oriented programming;generation of efficient programs for solving maximum multi-marking problems;a unifying approach to goal-directed evaluation;integrating partial evaluators into interpreters;dynamically adaptable software with metacomputations in a staged language;meta-programming for global computing and a transformational approach which combines size inference and program optimization.
This paper presents a new methodology to select test cases from regression test suites. The selection strategy is based on analyzing the dynamic behavior of the applications that written in any programming language. M...
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This paper addresses the problem of designing a feedback feedforward controller to drive the state of a dynamic system so as to track any desired trajectory stochastically specified. In general, the dynamic system and...
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ISBN:
(纸本)0780309995
This paper addresses the problem of designing a feedback feedforward controller to drive the state of a dynamic system so as to track any desired trajectory stochastically specified. In general, the dynamic system and the state observation channel are nonlinear, the cost function is non quadratic, and process and observation noises are non-Gaussian. As the classical Linear-Quadratic-Gaussian (LQG) assumption are not verified, an approximate solution is sought by constraining control strategies to take on a fixed structure in which a certain number of parameters have to be optimized. Two nonlinear control structures are considered: Radial Basis Functions (RBF) and multilayer feedforward neural networks. The control structures are also shaped on the basis of what has been called the ″linear Structure Preserving Principle″ (the LISP principle). The original functional problem is then reduced to a nonlinearprogramming one, which is solved by means of a gradient method. Simulation results related to non-LQG optimal control problems show the effectiveness of the proposed technique.
The new era of multi-core processing challenges software designers to efficiently exploit the parallelism that is now massively available. Programmers have to exchange the conventional sequential programming paradigm ...
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ISBN:
(纸本)9780769531090
The new era of multi-core processing challenges software designers to efficiently exploit the parallelism that is now massively available. Programmers have to exchange the conventional sequential programming paradigm for parallel programming: single-threaded designs must be decomposed into dependent, interacting tasks. The Java programming language has built-in thread support and is therefore suitable for the development of parallel software, but programming multi-threaded applications is a tedious task. Therefore we are working on a framework and tool support to alleviate the burden of threads, synchronisation and locking, based on process networks. This paper describes our initial ideas for this new programming model.
In domain of analytic cursive word recognition, there are two main approaches: explicit segmentation based and implicit segmentation based. However, both approaches have their own shortcomings. To overcome individual ...
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ISBN:
(纸本)9780769539829
In domain of analytic cursive word recognition, there are two main approaches: explicit segmentation based and implicit segmentation based. However, both approaches have their own shortcomings. To overcome individual weaknesses, this paper presents a hybrid strategy for recognition of strings of characters (words or numerals). In a two stage dynamic programming based, lexicon driven approach, first an explicit segmentation is applied to segment either cursive handwritten words or numeric strings. However, at this stage, segmentation points are not finalized. In the second verification stage, statistical features are extracted from each segmented area to recognize characters using a trained neural network. To enhance segmentation and recognition accuracy, lexicon is consulted using existing dynamic programming matching techniques. Accordingly, segmentation points are altered to decide true character boundaries by using lexicon feedback. A rigorous experimental protocol shows high performance of the proposed method for cursive handwritten words and numeral strings.
The objective of this paper is to illustrate how object-oriented programming is used to generate Distributed Object programming (DOP): a novel framework for developing multi-user distributed applications that exploit ...
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This paper presents the observer design to control and at the same time estimate the state of polynomial discrete-time systems. In general, to design observer for polynomial discrete-time system is difficult because t...
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ISBN:
(纸本)9781479979523
This paper presents the observer design to control and at the same time estimate the state of polynomial discrete-time systems. In general, to design observer for polynomial discrete-time system is difficult because the solution is nonconvex. More precisely, it is a nonconvex problem due to the relationship between the Lyapunov function and the observer gain is not jointly convex. Hence, it cannot be possible to be solved via semidefinite programming (SDP). In this work, to ensure a convex solution to the observer design problem can be obtained, an integrator is incorporated into the observer structure. By doing this, a convex solution can be guaranteed. The observer gains are then computed using SOS-SDP techniques.
In adaptive dynamic programming (ADP), the utility function is always completely designed by experience which cannot evaluate system cost very well. A novel adaptive dynamic programming based on genetic algorithms (GA...
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In a multi-class classification setup, the Gaussianization represents a nonlinear feature extraction transform with the purpose of achieving Gaussian class-conditional densities in the transformed space. The computati...
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ISBN:
(纸本)9789898565419
In a multi-class classification setup, the Gaussianization represents a nonlinear feature extraction transform with the purpose of achieving Gaussian class-conditional densities in the transformed space. The computational complexity of such a transformation increases with the dimension of the processed feature space in such a way that only relatively small dimensions can be processed. In this contribution we describe how to reduce the computational burden with the help of an adaptive grid. Thus, the Gaussianization transform is able to also handle feature spaces of higher dimensionality, improving upon its practical usability. On both artificially generated and real-application data, we demonstrate a decrease in computation complexity in comparison to the standard Gaussianization, while maintaining the effectiveness.
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