The FCC's Network Neutrality Ruling in the Comcast Case: Towards a Consensus with Europe?

In August 2008, the FCC found that Comcast's restrictions on peer-to-peer upload transmissions were unreasonably discriminatory, arbitrarily targeted a particular application, and deprived consumers of their rights to run Internet applications and use services of their choice. The Comcast ruling represents a significant change in the FCC's direction: given the FCC's past decisions that broadband Internet access services do not fall within the "common carrier" category, it is notable that the agency has now imposed nondiscrimination requirements on these services. This Article shows that the rationales articulated in the FCC's Comcast order, stressing both (i) concerns about protecting competition and (ii) concerns about protecting consumers from disruption of their ability to communicate freely and privately, are rooted in centuries of Anglo-American law defining he obligations of "common carriers." The FCC appears to be moving away from its traditional emphasis on the competition policy concerns, which justify asymmetrical regulation of dominant providers for the sake of enabling competition, and toward an emphasis on the consumer protection issues, which justify symmetrical regulation of all service providers regardless whether they have market power. These developments in the U.S. echo the discussion now going on in Europe in the context of the package of proposals on a new common regulatory framework for telecommunications, released by the European Commission on Nov. 13, 2007, and which is now being debated by the European Parliament and Council. On both sides of the Atlantic, a trend is emerging to permit network discrimination only if the discrimination is narrowly tailored to achieve legitimate objectives.network neutrality, discrimination, common carrier, network management, Comcast, European Directives.

Urban area change detection procedures with remote sensing data

The underlying factors affecting the detection and identification of nonurban to urban land cover change using satellite data were studied. Computer programs were developed to create a digital scene and to simulate the effect of the sensor point spread function (PSF) on the transfer of modulation from the scene to an image of the scene. The theory behind the development of a digital filter representing the PSF is given as well as an example of its application. Atmospheric effects on modulation transfer are also discussed. A user's guide and program listings are given

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC

We provide Markov chain Monte Carlo (MCMC) algorithms for computing the bandwidth matrix for multivariate kernel density estimation. Our approach is based on treating the elements of the bandwidth matrix as parameters to be estimated, which we do by optimizing the likelihood cross-validation criterion. Numerical results show that the resulting bandwidths are superior to all existing methods; for dimensions greater than two, our algorithm is the first practical method for estimating the optimal bandwidth matrix. Moreover, the MCMC algorithm for bandwidth selection for multivariate data has no increased difficulty as the dimension of data increases.Bandwidth selection, cross-validation, multivariate kernel density estimation, sampling algorithms.

Fault detection and accommodation testing on an F100 engine in an F-15 airplane

The fault detection and accommodation (FDA) methodology for digital engine-control systems may range from simple comparisons of redundant parameters to the more complex and sophisticated observer models of the entire engine system. Evaluations of the various FDA schemes are done using analytical methods, simulation, and limited-altitude-facility testing. Flight testing of the FDA logic has been minimal because of the difficulty of inducing realistic faults in flight. A flight program was conducted to evaluate the fault detection and accommodation capability of a digital electronic engine control in an F-15 aircraft. The objective of the flight program was to induce selected faults and evaluate the resulting actions of the digital engine controller. Comparisons were made between the flight results and predictions. Several anomalies were found in flight and during the ground test. Simulation results showed that the inducement of dual pressure failures was not feasible since the FDA logic was not designed to accommodate these types of failures

Information erasure without an energy cost

Landauer argued that the process of erasing the information stored in a memory device incurs an energy cost in the form of a minimum amount of mechanical work. We find, however, that this energy cost can be reduced to zero by paying a cost in angular momentum or any other conserved quantity. Erasing the memory of Maxwell's demon in this way implies that work can be extracted from a single thermal reservoir at a cost of angular momentum and an increase in total entropy. The implications of this for the second law of thermodynamics are assessed.Comment: 8 pages with 1 figure. Final published versio

Local Linear Forecasts Using Cubic Smoothing Splines

We show how cubic smoothing splines fitted to univariate time series data can be used to obtain local linear forecasts. Our approach is based on a stochastic state space model which allows the use of a likelihood approach for estimating the smoothing parameter, and which enables easy construction of prediction intervals. We show that our model is a special case of an ARIMA(0,2,2) model and we provide a simple upper bound for the smoothing parameter to ensure an invertible model. We also show that the spline model is not a special case of Holt's local linear trend method. Finally we compare the spline forecasts with Holt's forecasts and those obtained from the full ARIMA(0,2,2) model, showing that the restricted parameter space does not impair forecast performance.ARIMA models; exponential smoothing; Holt's local linear forecasts; maximum likelihood estimation; nonparametric regression; smoothing splines; state space model, stochastic trends.