20,477 research outputs found
Exploiting Recurring Patterns to Improve Scalability of Parking Availability Prediction Systems
Parking Guidance and Information (PGI) systems aim at supporting drivers in finding suitable parking spaces, also by predicting the availability at driverâs Estimated Time of Arrival (ETA), leveraging information about the general parking availability situation. To do these predictions, most of the proposals in the literature dealing with on-street parking need to train a model for each road segment, with significant scalability issues when deploying a city-wide PGI. By investigating a real dataset we found that on-street parking dynamics show a high temporal auto-correlation. In this paper we present a new processing pipeline that exploits these recurring trends to improve the scalability. The proposal includes two steps to reduce both the number of required models and training examples. The effectiveness of the proposed pipeline has been empirically assessed on a real dataset of on-street parking availability from San Francisco (USA). Results show that the proposal is able to provide parking predictions whose accuracy is comparable to state-of-the-art solutions based on one model per road segment, while requiring only a fraction of training costs, thus being more likely scalable to city-wide scenarios
Size, Structure, and Strategies: Insolvency and "The Nature of the Firm" in Italy, 1920S-1970S
During the Twentieth century, Italian joint-stock companies remained relatively small and tended to die young. This fact constrained the development of the full potential of the Italian industry, as small-dimensioned companies struggled to implement the most efficient technologies and managerial techniques. This paper analyses this problem by looking at the functioning of insolvency procedures. Using quantitative and qualitative evidence, we show how various devices that progressively appeared on the scene failed in providing efficient solutions to re-start worthy companies. Insolvency procedures thus remained liquidation-prone, a factor that contributes to explain the peculiarity and the limits of Italian industrial capitalism.
Micro finance in Palestine: issues, performance, and trajectories
Despite the growing interest in the subject of micro finance very little, if any, academic research on the Palestinian case exists. This paper starts filling this gap by analysing the development of the micro credit industry in Palestine between 2000 and 2008. This paper shows that at macro level the industry has a strong potential for growth, but its full development is frustrated by inefficiencies in credit allocation and high level of risk, whose most evident sign being the problem of late or no re-payment of loans. By using data from one of the most important micro credit agencies, the Arab Centre for Agricultural Development (ACAD), we analyse the determinants of late payment. The most important results are that high interest rates increase the probability of late repayment, loan size, when above the âmicroâ threshold has no impact, while female customers and the one with banks guarantees are less likely to pay late. The policy implications are that while going towards a more âmarket-basedâ approach might provide some advantages in terms of risk reduction, it will not per se solve the problem while will certainly expose the most vulnerable sectors of the population to further credit rationingPalestine; micro finance; economic development
Nonstandard Methods in Ramsey Theory and Combinatorial Number Theory
The goal of this present manuscript is to introduce the reader to the
nonstandard method and to provide an overview of its most prominent
applications in Ramsey theory and combinatorial number theory.Comment: 126 pages. Comments welcom
Entanglement and quantum combinatorial designs
We introduce several classes of quantum combinatorial designs, namely quantum
Latin squares, cubes, hypercubes and a notion of orthogonality between them. A
further introduced notion, quantum orthogonal arrays, generalizes all previous
classes of designs. We show that mutually orthogonal quantum Latin arrangements
can be entangled in the same way than quantum states are entangled.
Furthermore, we show that such designs naturally define a remarkable class of
genuinely multipartite highly entangled states called -uniform, i.e.
multipartite pure states such that every reduction to parties is maximally
mixed. We derive infinitely many classes of mutually orthogonal quantum Latin
arrangements and quantum orthogonal arrays having an arbitrary large number of
columns. The corresponding multipartite -uniform states exhibit a high
persistency of entanglement, which makes them ideal candidates to develop
multipartite quantum information protocols.Comment: 14 pages, 3 figures. Comments are very welcome
The Pr.O.F. project: orienting late High School students to University methodology in Chemistry and other Sciences
The P.r.O.F. project has been presented at the ECTN meeting and positively evaluated. The project aims to help high school students in the transition to University. It covers the areas of Chemistry, Physics, Biology and Mathematics. In the Chemistry section, methodological issues were emphasized. The specific subject, selected jointly by University and School teachers, was Solutions and Solubility. Short and long-time tests were performed to check the effectiveness of the intervention
MAGDA: A Mobile Agent based Grid Architecture
Mobile agents mean both a technology
and a programming paradigm. They allow for a
flexible approach which can alleviate a number
of issues present in distributed and Grid-based
systems, by means of features such as migration,
cloning, messaging and other provided mechanisms.
In this paper we describe an architecture
(MAGDA â Mobile Agent based Grid Architecture)
we have designed and we are currently
developing to support programming and execution
of mobile agent based application upon Grid
systems
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