Preface Part I. Turbulence: 1. Introduction 2. Coherent structures 3. Proper orthogonal decomposition 4. Galerkin projection Part II. Dynamical Systems: 5. Qualitative theory 6. Symmetry 7. One-dimensional 'turbulence' 8. Randomly perturbed systems Part III. 9. Low-dimensional Models: 10. Behaviour of the models Part IV. Other Applications and Related Work: 11. Some other fluid problems 12. Review: prospects for rigor Bibliography.

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Turbulence, Coherent Structures, Dynamical Systems and Symmetry

A survey of models, analysis tools and compensation methods for the control of machines with friction

Configuration of the computing and communications systems found at home and in the workplace is a complex task that currently requires the attention of the user. Researchers have begun to examine computers that would autonomously change their functionality based on observations of who or what was around them. By determining their context, using input from sensor systems distributed throughout the environment, computing devices could personalize themselves to their current user, adapt their behaviour according to their location, or react to their surroundings. The authors present a novel sensor system, suitable for large-scale deployment in indoor environments, which allows the locations of people and equipment to be accurately determined. We also describe some of the context-aware applications that might make use of this fine-grained location information.

/pdf/a-new-location-technique-for-the-active-office-5bygv7mxxa.pdf

A new location technique for the active office

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI.

* An evolutionary approach provides a unifying theme 
* Thorough coverage of important AI ideas, old and new
* Frequent use of examples and illustrative diagrams
* Extensive coverage of machine learning methods throughout the text
* Citations to over 500 references
* Comprehensive index

Table of Contents

1 Introduction
2 Stimulus-Response Agents
3 Neural Networks 
4 Machine Evolution 
5 State Machines 
6 Robot Vision 
7 Agents that Plan 
8 Uninformed Search 
9 Heuristic Search 
10 Planning, Acting, and Learning 
11 Alternative Search Formulations and Applications 
12 Adversarial Search 
13 The Propositional Calculus 
14 Resolution in The Propositional Calculus 
15 The Predicate Calculus 
16 Resolution in the Predicate Calculus 
17 Knowledge-Based Systems 
18 Representing Commonsense Knowledge 
19 Reasoning with Uncertain Information 
20 Learning and Acting with Bayes Nets 
21 The Situation Calculus 
22 Planning 
23 Multiple Agents 
24 Communication Among Agents 
25 Agent Architectures

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Artificial Intelligence: A New Synthesis

Internet of Things (IoT) brings more than an explosive proliferation of endpoints. It is disruptive in several ways. In this chapter we examine those disruptions, and propose a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing. In particular, we pay attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.

Fog Computing: A Platform for Internet of Things and Analytics

Between the lines: a driver-assistive technology for staying in the lane

Distributed impedance control of an n DOF serial link manipulator using interpolation theory

Effectiveness of Teenage Support System (TDSS) on Reducing Traffic Violation Behaviors for Teenage Drivers at the Early Time of Licensure

A method includes a mobile device traveling in a vehicle scanning for Bluetooth devices When the mobile device detects a Bluetooth device, it then determines that the Bluetooth device is a work zone tag The mobile device then issues a warning that indicates that the vehicle is near a work zone based on the work zone tag

In-vehicle work zone communication

This dissertation has focused on the development of a mobile robot architecture, which allows robots to behaviorally mimic naturally intelligent systems. The specific problem which is addressed is robot navigation in unknown, unstructured and dynamically changing environments. Our approach assumes no a priori information: the robot perceives the environment solely by sensing its environment as it moves.
The body of the thesis consists of three major parts: (1) Development of a procedure which allows a robot to develop local maps of different working environments in real time, by processing incoming range data, (2) Formation of view invariant representations (landmark representations) and (3) Fuzzy classification of the landmark representations. Formation of these maps is obtained through the use of a Self-Organizing Mapping (SOM) neural network. These maps represent a robot's own local view of its surrounding environment and represent discretized representations of the continuous world space. View invariant representations are extracted by processing SOMs using a logarithmic scaling procedure which is motivated by physiological observations. Finally, classification of landmark representations is obtained through an Adaptive Resonance Theory (ART), self-organizing neural network which incorporates fuzzy learning. Classification of view invariant representations is used to solve the problem of robot localization. The methodology was tested and demonstrated by using an actual mobile robot.
Overall, this research integrates ideas from two different approaches which dominate the field of mobile robotics: (i) Artificial Intelligence (AI) and (ii) behavior-based robotics. Our results enhance the behavior-based paradigm by introducing behaviors which are biologically inspired. This last element allows us to integrate the previous two approaches, by showing that symbolic and non-symbolic structures which are developed by the robotic agents themselves can coexist in the same architecture allowing robots to be adaptable, autonomous and intelligent.

Max Donath

Papers

Between the lines: a driver-assistive technology for staying in the lane

Distributed impedance control of an n DOF serial link manipulator using interpolation theory

Effectiveness of Teenage Support System (TDSS) on Reducing Traffic Violation Behaviors for Teenage Drivers at the Early Time of Licensure

In-vehicle work zone communication

A neuro-computational mobile robot architecture for mapping localization and navigation