Max Donath

Bio: Max Donath is an academic researcher from University of Minnesota. The author has contributed to research in topics: Collision avoidance system & Mobile robot. The author has an hindex of 28, co-authored 175 publications receiving 4394 citations. Previous affiliations of Max Donath include Massachusetts Institute of Technology & University of Washington.

Real time high accuracy geospatial database for onboard intelligent vehicle applications

Abstract: A geospatial database management system is mounted on a host vehicle and manages geospatial data relating to a travel path for the host vehicle, the travel path having one or more lanes. A geospatial database stores data elements indicative of objects and a location of the objects in three-dimensional space. The objects have a lane-level resolution and the location is accurate to within an order of one decimeter or better. A database manager component is configured to maintain the data elements in the geospatial database and receive database queries from a driver assist subsystem configured to assist a driver of the host vehicle. A query processor is coupled to the database manager component and to the geospatial database and is configured to receive the database query from the database manager component. The query processor queries the geospatial database and returns query results to the database manager component. This can be done in real time.

Dynamic EMG analysis of anterior cruciate deficient legs with and without bracing during cutting

Abstract: crease in quadriceps activity found during the subjects' stance phase could have a protective effect on the unstable knee due to the increased activity of muscles that work synergistically with the ACL to control ante rior tibial translation. The reduced activity of antagonist muscles could enhance this effect. Bracing did not alter the relative EMG activity nor did it change firing patterns compared to the unbraced situation. All muscles showed a similar reduction in activity, suggesting that these braces did not have a proprioceptive influence.

Dynamic feedback linearization for electrohydraulically actuated control systems

Abstract: Using the dynamic inversion principal, a globally linearizing feedback control law is developed for an electrohydraulic servo system. The proposed control law is implemented on a rotational joint driven by a linear actuator. The results from experiments indicate that better uniformity of response is achieved across a wider range of operating conditions than would otherwise be possible. Improved symmetry is obtained for the extension and retraction phases of motion for an asymmetric actuator under various loading conditions and actuator positions. As a result of the improvements in linearity, significantly better performance is achieved when using linear controllers. To incorporate the effects of parametric uncertainties on the feedback linearization, a state space linear fractional representation of the parametrically uncertain linearized system is also developed. This uncertainty model is specifically suited for the design of robust control systems using the μ-synthesis and H∞ based approach.

Vehicle Positioning System Using Location Codes in Passive Tags

Abstract: Vehicles driving on a roadway interrogate passive tags in or on lanes of the roadway. Codes in the tags represent locations along the highway and which lane the vehicle is traveling in. Units in the vehicles communicate longitudinal and lane positions derived from the codes among each other or with infrastructure units for purposes such as traffic management, alerts concerning other vehicles, alerts concerning external conditions, or traffic control. The units may also communicate vehicle lengths or other parameters or characteristics. Vehicle units may communicate with sensors and actuators in the vehicles for purposes such as updating the vehicles' positions between adjacent tags. Specific applications for intelligent transportation systems are described.

Turbulence, Coherent Structures, Dynamical Systems and Symmetry

Abstract: 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.

A new location technique for the active office

Abstract: 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.

Artificial Intelligence: A New Synthesis

Abstract: 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

Fog Computing: A Platform for Internet of Things and Analytics

Abstract: 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.