Abstract — In this paper, we present a temporal logic called F whose interpretation is over Input Output Symbolic Transition Systems (IOSTS). IOSTS extend transition systems to communications and data in order to tackle communications with system environment. F is then defined as an extension

: for a given integer k, and any real ε> 0, Raptor codes in this class produce a potentially infinite stream of symbols such that any subset of symbols of size k(1 + ε) is sufficient to recover the original k symbols with high probability. Each output symbol is generated using O(log(1/ε)) operations

of the sphere decoder, we provide a simple method to iteratively detect and decode any linear space-time mapping combined with any channel code that can be decoded using so-called “soft ” inputs and outputs. We exemplify our technique by directly transmitting symbols that are coded with a channel code; we show

independent probabilistic event detectors to propose candidate detections of low-level features. The outputs of these detectors provide the input stream for a stochastic context-free grammar parsing mechanism. The grammar and parser provide longer range temporal constraints, disambiguate uncertain low

the mission of improving DoD’s understanding of the national security implications of the Information Age. Focusing upon improving both the state of the art and the state of the practice of command and control, the CCRP helps DoD take full advantage of the opportunities afforded by emerging technologies. The CCRP pursues a broad program of research and analysis in information superiority, information operations, command and control theory, and associated operational concepts that enable us to leverage shared awareness to improve the effectiveness and efficiency of assigned missions. An important aspect of the CCRP program is its ability to serve as a bridge between the operational, technical, analytical, and educational communities. The CCRP provides leadership for the command and control research community by: n n

transform of network input voltage Eo Laplace transform of network output voltage FS full scale K operational amplifier open-loop gain, V/V pk poles of transfer function TS, k = 12, ppm parts per million RA snubber network resistance, Ω RS operational amplifier open-loop source resistance, Ω R1, RF filter

is chosen to stabilize the missile system and to provide approximate control. A feature of this scheme is that the FMRLC credit output will be added simply to the existing control signal. Moreover, the missile systems with high nonlinearities and aerodynamic uncertainties can be controlled over a wide

When economic capital is calculated using a portfolio model of credit value-at-risk, the marginal capital requirement for an instrument depends, in general, on the properties of the portfolio in which it is held. By contrast, ratings-based capital rules, including both the current Basel Accord and its proposed revision, assign a capital charge to an instrument based only on its own characteristics. I demonstrate that ratingsbased capital rules can be reconciled with the general class of credit VaR models. Contributions to VaR are portfolio-invariant only if (a) there is only a single systematic risk factor driving correlations across obligors, and (b) no exposure in a portfolio accounts for more than an arbitrarily small share of total exposure. Analysis of rates of convergence to asymptotic VaR leads to a simple and accurate portfolio-level add-on charge for undiversified idiosyncratic risk. There is no similarly simple way to address violation of the single factor assumption.

Fano’s inequality has proven to be one important result in Shannon’s information theory having found applications in innumerous proofs of convergence. It also provides us with a lower bound on the symbol error probability in a communication channel, in terms of Shannon’s definitions of entropy

There has been recent interest in unmanned air vehicles with a largest linear dimension no greater than 6 inches. Micro sized air vehicles (µAV) are intended to operate close to a point of interest without detection and provide surveillance teams with critical information in life threatening situations that is currently not available in a rapid-deployment urban-environment mission scenario. This paper studies the importance of aerodynamics, propulsion, and mission requirements on the design of a µAV. A Multi-Disciplinary Optimization method is used to size µAV’s for a baseline mission. Sensitivity studies of the optimized designs identify features that most strongly affect its performance. Electric and internal combustion engine propulsion are compared. Results of these analyses show that large energy density, power density, and maximum lift capability are the most important features of successful µAV’s and that ICE power is superior to electric because of its larger power density. The results also show that increases in parasite drag due to low Reynolds number is of minor importance so long as lift capability is maintained. Maneuverability constraints have the strongest influence on µAV size because smaller turn radii require lower wing loadings and for a fixed weight this implies larger wing area and size. Three radio controlled prototypes of µAV’s were built and test flown based on the design study results. These vehicles are a 9 inch span electric powered fixed-wing, a 6 inch span ICE powered fixed-wing, and a 7 inch diameter ICE powered VTOL design. Each design has been flown successfully as a radio control aircraft and the flight test results revealed several unexpected difficulties relating to aircraft stability, control, and propulsion system integration. Further numerical analysis of the VTOL design shows that the size penalty for VTOL capability is negligible and that a 6 inch tail-sitter µAV can perform all of the mission requirements and operate in VTOL and translational flight modes.