Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2008. / Thesis Advisor(s): Fouts, Douglas J. ; Pace, Phillip E. "March 2008." Description based on title screen as viewed on May 16, 2008. Includes bibliographical references (p. 101-102). Also available in print.

CHDS State/Local / The need for domestic intelligence and information sharing to detect indications and warnings of terrorist acts and prevent them has raised privacy and civil liberties concerns. The relationship between national security and privacy and civil liberties is often modeled as a scale with security on one end and privacy and civil liberties on the other. Success is said to be achieved when security and privacy are balanced. This model forces these values to be traded in a zero-sum game. A new model that decreases the "cost" to privacy and increases the "value" to security is needed. Technological, policy and organizational innovation hold promise in designing new intelligence and information-sharing architectures capable of detecting indications and warnings of terrorism and protecting the privacy and civil liberties of Americans. Using government documents that articulate attributes for a terrorism early warning system and widely accepted privacy principles as design requirements, the thesis examines technologies that could meet the challenges of both security and privacy. Designing and building a system that supports both security and privacy will benefit both. The thesis argues, this system will enable the Nation to fight terrorism while upholding the liberties that form the core values of the American people. / Captain (Capt), US Northern Command (Northcom) - NORAD J5

This paper presents a hypothetical cybernetic computer system dedicated to strategic target selection. The system is one that our government is capable of developing--or may have already developed, using existing intelligence and computer technology.Included in the design are the following:The physical compostion (hardware and software components), The target selection methodology and algorithm, And, how intelligence information might be collected, coordinated and used.The hypothetical system demonstrates the importance and relevance of advanced cybernetic systems in facilitating the command decisions of military leaders.Ball State UniversityMuncie, IN 47306

Thesis (M.S. in Systems Engineering (Electronic Warfare))--Naval Postgraduate School, September 1990. / Thesis Advisor(s): Davidson, Kenneth L. ; Powell, James R. "September 1990." Description based on title screen as viewed on December 29, 2009. DTIC Descriptor(s): Frequency, Electronic Warfare, Aircraft, Airborne, Electronic Equipment, Microwave Equipment, Radar, Profiles, Ducts, Meteorology, Communication And Radio Systems, Refraction, Arabian Sea, Refractometers, Military Operations. DTIC Identifier(s): Radar interference, meteorological phenomena, theses. Author(s) subject terms: Refractivity, Arabian Sea refractive conditions, ESM airborne radar, airborne microwave refractometer (AMR), IREPS, EREPS. Includes bibliographical references (p. 96-97). Also available in print.

Particle Swam Optimization (PSO) is especially useful for rapid optimization of problems involving multiple objectives and constraints in dynamic environments. It regularly and substantially outperforms other algorithms in benchmark tests. This paper describes research leading to the application of PSO to the autonomous asset management problem in electronic warfare. The PSO speed provides fast optimization of frequency allocations for receivers and jammers in highly complex and dynamic environments. The key contribution is the simultaneous optimization of the frequency allocations, signal priority, signal strength, and the spatial locations of the assets. The fitness function takes into account the assets' locations in 2 dimensions, maximizing their spatial distribution while maintaining allocations based on signal priority and power. The fast speed of the optimization enables rapid responses to changing conditions in these complex signal environments, which can have real-time battlefield impact. Results optimizing receiver frequencies and locations in 2 dimensions have been successful. Current run-times are between 450ms (3 receivers, 30 transmitters) and 1100ms (7 receivers, 50 transmitters) on a single-threaded x86 based PC. Run-times can be substantially decreased by an order of magnitude when smaller swarm populations and smart swarm termination methods are used, however a trade off exists between run-time and repeatability of solutions. The results of the research on the PSO parameters and fitness function for this problem are demonstrated.