"Ocean Acoustics"
William. A. Kuperman, Michael B. Porter and Henrik Schmidt
This course is designed for people who are interested in the Ocean Technology area and would like to know more about Ocean Acoustics and Signal Processing. It will be based upon the book (not provided) "Computational Acoustics" by Jensen, Kuperman, Porter, Schmidt, Springer-Verlag (2000). A technical background of Basic Physics and Calculus would be helpful.
Instructors are all active researchers in Ocean Acoustics and Signal Processing.
W. A. Kuperman, Professor and Director of the Marine Physical Laboratory, Scripps Institution of Ocean- ography, University of California, San Diego
M. B. Porter, Science Applications International Corporation, on leave of absence: Professor of Mathematics, New Jersey Institute of Technology
Henrik Schmidt, Professor, Department of Ocean Engineering, Massachusetts Institute of Technology
The purpose of this course is to give as intensive an introduction into the area of ocean acoustics and signal processing as is possible in one full day. The course should be of interest to people who would like to:
"Technological Forecasting for Competitive Technology Intelligence"
Richard P. Mignogna
This tutorial, which is offered in two parts, focuses on the application of technological forecasting and competitive technology intelligence in strategic technology planning. In achieving this goal, it covers both quantitative and qualitative analytical techniques for assessing the technical capability of your competitors and for predicting future directions and likely developments in a given technology. The emphasis is on exposing participants to the broad range of techniques available to them.
The tutorial begins with an introduction to technological forecasting and competitive technology intelligence and their role in strategic planning for the enterprise. This is followed by a discussion of technology life cycles and the underlying dynamics of technological advance. A subsequent presentation of surveillance techniques is then followed by a comprehensive review of the most valuable sources of technology intelligence data. Rounding out Part I of the tutorial is an overview of technology forecasting methodologies that aid in technology intelligence analysis.
In Part II of the tutorial, we delve deeper into the techniques for performing technological forecasting and analyzing technology intelligence data. We begin this exploration of technological forecasting methods with techniques for analyzing and extrapolating technology trends based on the well known technology s-curve. In this portion of the tutorial, you will learn how these techniques are applied to:
But obviously, the diffusion of technology is more than a simple curve fitting exercise. Therefore, we will also examine how the attributes of an innovation impact its diffusion in the marketplace and how these attributes may be used to assess the acceptance of new product introductions - yours or your competitor's.
In Part II of the tutorial, we also present judgmental and expert opinion- based techniques for the development of technology intelligence. In this portion, participants will learn how to use the Delphi technique, nominal group technique, morphological analysis and impact wheels for eliciting expert opinion. Throughout this portion of the tutorial, we will refer back to an integrative TF/CTI Abstract case study to illustrate how the respective technology forecasting techniques may be applied in real world science and technology intelligence analysis. This daylong tutorial (Parts I and II together) has previously been conducted as a pre-conference workshop at the annual meetings of the Society of Competitive Intelligence Professionals (in the U.S., Canada, and most recently in Europe) and at Oceans'99 in Seattle. It is also offered in greater depth as an in-house course and as a public course in a 3-day format.
Richard P. Mignogna, Ph.D., P.E., is president of Technology/Engineering Management, Inc., a consulting firm specializing in strategic technology planning, technology forecasting and assessment, competitive technology intelligence, and technology transfer.
"A Practical Law Primer for Ocean Science and Technology"
Richard T. Robol
This tutorial focuses on the key legal principles important to ocean science and technology. Its purpose is not to provide an exhaustive treatment of admiralty law, of theory, or of the law of the sea, but rather to outline the main practical issues that each person engaged in ocean science and technology may confront.
For this reason, the tutorial surveys the issues and rules of law that confront an individual or business engaged in ocean science and technology. By the end of the tutorial, each participant will (1) have an understanding of the nature and scope of legal issues of ocean science and technology, (2) appreciate the functional considerations that differentiate the legal rules for ocean science and technology from other fields of law, and (3) know where to go for more detailed information. Participants will have the opportunity to discuss specific legal issues they may currently confront, or may anticipate.
The tutorial will cover 9 overall topics. These include (1) an overview of the law applicable to ocean science and technology, (2) contracts and deal-making, (3) protecting intellectual property, (4) risk management, (5) financing, (6) property rights, (7) public law, (8) law of the sea, and (9) where to go for help and how to deal with emergencies.
The Introduction will cover the sources of law and jurisdiction affecting ocean science and technology. The Section on Contracts will expand on this foundation, covering the important elements of structuring deals. It will address not only the elements of contracts, but also the special types of contracts affecting ocean science and technology.
The Sections on Intellectual Property and Risk Management will discuss practical issues especially important to ocean science and technology. Intellectual property topics will include legal techniques for protecting ideas and innovations, trade secrets, patents, copyrights and the internet. Risk Management will describe the peculiar liabilities that may arise from ocean science and technology and practical methods for evaluating and minimizing risk. Among the specific topics will be personal injury and death, products liability, unseaworthiness, marine pollution, and marine insurance. The Section will also discuss the special procedures applicable to risk management.
The Sections on Financing and Property rights will deal with practical issues for financing and ownership rights in ocean science and technology. Topics will include the choice among sole proprietorships, corporations, partnerships, limited liability companies financing vehicles and personification.
The Section on Public Law and Law of the Sea will discuss elements of governmental regulation of ocean science and technology. This will include discussions of taxation, criminal law, customs and rules affecting navigation, living, natural and cultural resources.
The final Section will discuss practical approaches to spotting and solving legal problem affecting ocean science and technology. Participants will learn what to do when lightening strikes and where to go for further assistance.
The intended audience includes the broad range of individuals, private companies and governmental entities (civilian and military) engaged in ocean science and technology. Since the focus of the seminar will be practical legal issues, the presentation will cover matters that should be of interest to anyone involved in the area. The material should be of special interest to businesses and their leaders.
The tutorial will be useful in giving participants the basic knowledge of law required for their day-to-day work. By attending the tutorial, participants will acquire or enhance their ability both to understand legal aspects of ocean science and technology and to know where to go for additional information.
Richard T. Robol is the Executive Vice President and General Counsel of Columbus-America Discovery Group. He is also an adjunct Professor of Law at the University of Dayton Law School, where he teaches the upper level course in admiralty.
"Model-Based Ocean Acoustic Signal Processing"
Edmund J. Sullivan and James V. Candy
It has recently been recognized that the incorporation of a mathematical model that accurately represents the phenomenology under investigation can vastly improve the performance of any processor, as long as the model is accurate. This course describes the development and application of such "model-based processors'' that incorporate propagation models within their framework to improve the overall system performance. More specifically, model-based processing is concerned with the incorporation of environmental, measurement, and noise models, along with measured data, into a sophisticated processing algorithm capable of detecting and filtering (estimating) parameters of the acoustic environment (model) and sources of the acoustic energy in a complex ocean environment. It also offers a well-founded statistical approach for comparing propagation and noise models to measured data, and is not constrained to a stationary environment, which is an essential ingredient of any realistic processing scheme in a hostile ocean environment. That is, not only does the processor offer a means of estimating quantities of high interest (modes, pressure field, sound speed, etc.), but it also provides a methodology to statistically evaluate its performance on-line, which is especially useful for model validation experiments.
The approach is based on a state-space structure which enables access to the residual or innovation sequence associated with model-based processors (Kalman filter estimators/identifiers) thereby permitting the performance of the embedded models to be monitored as well as providing the potential of on-line refinement of these models by adaptively using these innovations. The state-space formalism can be considered to be a general framework that already contains the signal processing algorithms and it is the task of the user to master the art of embedding the models of interest. Thus, in this sense, the user is not practicing signal processing per se, but is actually dealing with the problem of representing the models within the state-space framework.
This tutorial begins with an introduction that includes a short history of this recently developed methodology. This is followed by a short review of the state-space modeling formalism required for a full understanding of the model-based processing. The next section defines the actual model-based processor structure and discusses the issues of detection and identification (estimation) within this framework. This is followed by several case studies, most of which are based on real data. The final section comprises a summary along with a discussion of on-going work.
Edmund J. Sullivan's present position is that of Senior Staff Scientist for the Physics and Technology Division at the Naval Undersea Warfare Center in Newport, RI.
James V. Candy is the Chief Scientist for Engineering and Director of the Center for Advanced Signal & Image Sciences at the University of California, Lawrence Livermore National Laboratory.
"Hydrodynamics, Dynamics and Control of Undersea Vehicles"
Douglas E. Humphreys
This seminar will emphasize the practical aspects of hydrodynamics, dynamics and control of undersea vehicles. The intent is to provide a brief survey of the current modeling methodology and then present a detailed treatment of undersea vehicle dynamics. Attendees will come away with a better understanding of the concepts used in modeling and simulation of undersea vehicles. Approaches for estimating coefficients for hull, fins and fin-hull combinations will be covered. The use of Bode plots and root locus to gain insight into vehicle design trends will be demonstrated. The tradeoff between stability and control will be discussed along with design examples.
Douglas E. Humphreys is President and Senior Design Engineer at Vehicle Control Technologies, Inc.
"A Systematic Approach to Redundant and Fault Tolerant System Design"
Philip Babcock
A systematic and practical approach to applying analysis to guide the design of redundant and fault tolerant systems is presented. The tutorial moves from an introduction to the world of fault tolerant systems to how analytical evaluation can play a role in the design of these systems. The use of "0th order" models, qualitative models, and quantitative models are demonstrated on real-world designs, and in the process the usefulness of Markov diagrams and models are shown. This foundation is extended into modeling that incorporates cost, and a systematic and very efficient approach to design optimization is presented. The role of sensitivity analysis in systematically guiding the design process to meet program requirements, which is a multi-critertia optimization, is shown in detail. The additional benefits of sensitivity-based analysis, such as providing a decision trail for design modifications/evolution, handling uncertainty, demonstrating resulting design robustness, and how the sensitivity analysis can be used to quantify elements of design, development, and operational risk is demonstrated. Real- world examples, such as an autonomous navigation system for an unmanned underwater vehicle, a railroad control system, an expendable launch vehicle, and the Space Station, are used to demonstrate and explain the concepts. Students are provided with additional texts that provide an introduction to Markov modeling of fault tolerant systems and methods to solve these models by inspection.
This course is intended for system and subsystem designers and integrators, system engineers, and technical managers and anyone who desires to develop a more global view of fault tolerant systems. The tutorial does not require any background in specific modeling methods; algebra is used in the modeling solutions.
Dr. Babcock is the head of Systems Engineering at The Charles Stark Draper Laboratory, Inc.
"Optimization of Space-Time Signal Processing for Moving Antennas"
Igor I. Gorban
The tutorial is oriented to scientists and engineers interested the problem of space-time signal processing, and also - to designer developed new hydro- acoustic technique. The course is self- contained, however, a general knowledge on space-time signal processing is desirable.
Contents: A lot of underwater acoustic space-time signal processing (STSP) systems are exploited in complicated dynamic conditions. Because of the streams, pitching, rolling, and other destabilized factors there are antenna motion with continuous changing the place of the antenna, its orientation in space, and sometimes even changing its form. The tutorial presents new approaches in complex optimization of STSP. It will be discussed two aspects of the problem. The first aspect is the development of optimum and near optimum STSP methods that take into consideration complicated antenna motion, noises, and medium together. The second aspect is realization the complicated STSP in millions channels with a few calculating efforts. The profit connected with using the new approaches will be discussed.
Igor I. Gorban is Principal Scientist at the Institute of Mathematical Machines and Systems, National Academy of Sciences of Ukraine.
A separate registration fee is required for each Tutorial. See registration form for details.