Impulsive pp-waves are commonly described either by a distributional spacetime metric or, alternatively , by a continuous one. The transformation T relating these forms clearly has to be discontinuous, which causes two basic problems: First, it changes the manifold structure and second, the pullback of the distributional form of the metric under T is not well deened within classical distributio...

Peer-assisted content distribution matches user demand for content with available supply at other peers in the network. Inspired by this supply-anddemand interpretation of the nature of content sharing, we employ price theory to study peer-assisted content distribution. In this approach, the market-clearing prices are those which exactly align supply and demand, and the system is studied throug...

We introduce a mean-field type approximation for description of company’s income statistics. Utilizing huge company data we show that a discrete version of Langevin equation with additive and multiplicative noises can appropriately describe the time evolution of a company’s income fluctuation in statistical sense. The Zipf’s law of income distribution is shown to be hold in a steady-sate widely...

Advertisements, are the most important source of revenue for some of the biggest Internet-based companies. With vehicular networks poised to become part of the Internet in the near future, this new “edge” of the Internet represents a new frontier that companies will be striving to reach. In this paper we investigate the feasibility of targeted dissemination of ad content in a car network. We pr...

In this paper we discuss the sample size problem for balanced one way ANOVA under a posterior Bayesian formulation of the problem. Using the distribution theory of appropriate quadratic forms we derive explicit sample sizes for prespeci ed posterior precisions. Comparisons with classical sample sizes are made. Instead of extensive tables, a mathematica program for sample size calculation is giv...

The main goal of this paper is to present a new day-ahead energy acquisition model for a distribution company (Disco) in a competitive electricity market environment with Interruptible Load (IL). The work formulates the Disco energy acquisition model as a bi-level optimization problem with some of real issues, and then studies and designs a Genetic Algorithm (GA) of this optimization problem to...

In this paper we study the deviation of bus trip duration and its causes. Deviations are obtained by comparing scheduled times against actual trip duration and are either delays or early arrivals. We use distribution rules, a kind of association rules that may have continuous distributions on the consequent. Distribution rules allow the systematic identification of particular conditions, which ...

The purpose of this paper is to investigate whether neural networks and, especially the Kohonen’s self-organizing map network, can be used in profitability analysis in distribution. We focus on the physical distribution part of the supply chain and build a neural network model a profitability map using shipment data from a large company. We show how the profitability map can be used in an effic...