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Workflow Mining Discovering Process Models from Event Logs Abstract Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and, typically, there are discrepancies between the actual workflow processes and

Windows Management Instrumentation (WMI) Implementation Abstract This is a continuation of where I left off with Windows Management Instrumentation (WMI) in my last article ‘My Explorer’. I will show how to access operating system information, services, and processes running on your machine as well as on a remote machine on your network, provided you have

Vision Processing for Real-time 3-D Data Acquisition Based on Coded Structured Light Abstract Structured light vision systems have been successfullyused for accurate measurement of 3-D surfaces in computer vi-sion. However, their applications are mainly limited to scanningstationary objects so far since tens of images have to be captured forrecovering one 3-D scene. This paper presents

Steganography for Hiding Data in Wave Audio Files Abstract Data hiding is a characteristic of object-oriented programming. Because an object can only be associated with data in predefined classes or templates, the object can only “know” about the data it needs to know about. There is no possibility that someone maintaining the code may inadvertently

Neural Network for Unicode Optical Character Recognition Abstract The central objective of this project is demonstrating the capabilities of Artificial Neural Network implementations in recognizing extended sets of optical language symbols. The applications of this technique range from document digitizing and preservation to handwritten text recognition in handheld devices. The classic difficulty of being able

Neural Network for Recognition of Handwritten and Digits ABSTRACT This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you already understood some neural network concepts, like neurons, layers, weights, and backpropagation. The neural network described

Neural Network Based Face Detection ABSTRACT The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability

ARTIFICIAL INTELLIGENCE NETWORK LOAD BALANCING USING ANT COLONY OPTIMIZATION ABSTRACT Ant colony optimization (ACO) has proved its success as a meta-heuristic optimization in several network applications such as routing and load balancing. In this paper, a proposed ACO algorithm for load balancing in distributed systems will be presented. This algorithm is fully distributed in which

Image Recognition with Neural Networks INTRODUCTION Artificial Neural Networks are a recent development tool that are modeled from biological neural networks. The powerful side of this new tool is its ability to solve problems that are very hard to be solved by traditional computing methods(e.g. by algorithms). This work briefly explains Artificial Neural Networks and