Predictive Modeling for Insider Threat Mitigation This project‚ funded by PNNL’s Laboratory Directed Research and Development Program is conducted under the Predictive Defense focus area of the Laboratory’s Information and Infrastructure Integrity Initiative. The current practice for addressing the insider cyber threat is to monitor the network and individual systems to identify when someone is not following established policy or is abusing their authorized level of access in a way that is harmful
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INVITED PAPER Modeling and Simulation of Electric and Hybrid Vehicles Tools that can model embedded software as well as components‚ and can automate the details of electric and hybrid vehicle design‚ need to be developed. By David Wenzhong Gao‚ Senior Member IEEE‚ Chris Mi‚ Senior Member IEEE‚ and Ali Emadi‚ Senior Member IEEE ABSTRACT | This paper discusses the need for modeling and simulation of electric and hybrid vehicles. Different modeling methods such as physics-based Resistive
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6/18/2012 Chapter 1: Ranil Montaril‚ MSECE INTRODUCTION TO MODELING AND SIMULATION CHAPTER OBJECTIVE Introduce Modeling Introduce Simulation Develop an Appreciation for the Need for Simulation Develop Facility in Simulation Model Building 1 6/18/2012 WHAT IS A MODEL??? “A Representation of an object‚ a system‚ or an idea in some form other than that of the entity itself.” (Shannon) INGREDIENTS OF A GOOD MODEL A model is similar
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Writing Effective Use Cases Writing Effective Use Cases Alistair Cockburn Humans and Technology in preparation for Addison-Wesley Longman‚ Q3 2000. ©A.Cockburn 1999 Page 1 of 204 Writing Effective Use Cases Prologue There are still no trusted guides about how to write (or review) use cases‚ even though it is now nearly a decade since use cases have become the "norm" for writing functional requirements for object-oriented software systems‚ and are gaining acceptance for embedded software
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In comparing the use of information technology versus random patrol‚ I see it this way. Initially‚ the random patrol was implemented in an effort to deter crime. If an officer is able to make their rounds in an unpredictable pattern‚ the threat of crime should be reduced. COMPSTAT is a tool available to the officer to give direction (or emphasis) to their patrol. Assimilating available intelligence is labor-intensive and time-consuming. With the advent of COMPSTAT‚ the officer now has timely
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find ways to combat crime. In 1994‚ the New York City Police Department adopted a law enforcement crime fighting strategy known as COMPSTAT (COMPuter STATistics). COMPSTAT provided a road map to getting officers back to fighting crime. COMPSTAT uses Geographic Information Systems (GIS) to map the locations of where crimes occur‚ identify “ hotspots”‚ and map problem areas. COMPSTAT has embodied an enormous amount of historical crime data. Mathematicians have designed and developed algorithms that
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Cleaned and Sampled.jmp file. Create a validation data set with 50% of the data. Use Decision Tree‚ Regression and Neural Network approached for building predictive models. Perform a comparative analysis of the three competing models on validation data set. Write down your final conclusions on which model performs the best‚ what is the best cut-off to use‚ and what is the ‘value-added’ from conducting predictive modeling? Upload the saved file with the assignment. I created 6 models for this project
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QUARTER 2007 T DWI BEST PRACTICES REPORT PREDICTIVE ANALYTICS Extending the Value of Your Data Warehousing Investment By Wayne W. Eckerson Sponsored by FIRST QUARTER 2007 TDWI BEST PRACTICES REPORT PREDICTIVE ANALYTICS Extending the Value of Your Data Warehousing Investment By Wayne W. Eckerson Table of Contents Research Methodology and Demographics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 What Is Predictive Analytics? . . . . . . . . . . . . . . . .
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Unit 1 Lesson 1: Optimization with Parameters In this lesson we will review optimization in 2-space and the calculus concepts associated with it. Learning Objective: After completing this lesson‚ you will be able to model problems described in context and use calculus concepts to find associated maxima and minima using those models. You will be able to justify your results using calculus and interpret your results in real-world contexts. We will begin our review with a problem in which most
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MODELLING AND SIMULATION OF COMBINED DISCRETE/CONTINUOUS PROCESSES by Paul Inigo Barton‚ M.Eng‚ A.C.G.I. May 1992 A thesis submitted for the degree of Doctor of Philosophy of the University of London and for the Diploma of Membership of the Imperial College Department of Chemical Engineering Imperial College of Science‚ Technology and Medicine London SW7 2BY To Amy 2 Abstract Currently available dynamic simulation packages are mainly suitable for the continuous simulation of large
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