We use a mathematical model based on hybrid automata theory to describe air traffic flow in arrival mgions near airports. We show that the problem of scheduling the arrival flow subject to airspace and airport metering constraints may he formulated as a Mized Integer Linear Pmgmm (MILP). We demonstrate an implementation of this program, which accepts Air %fie Contml (ATC) data, performs the sch...

Krol (2008) has made a detailed and critical Short Comment on our manuscript, Butler et al (2008). Above all we are very pleased to note that he accepts our main point, that our work “may lead to a better understanding of atmospheric chemistry”. His major point of contention seems to be our presentation style, which echoes throughout his comment. For instance, we “show too many results” and sho...

We study an on-line selection game between two committee members (the players). The committee interviews candidates sequentially and has to decide, after each interview, whether to hire or to interview the next candidate.. Each player can either accept or reject the candidate, and if he rejects the candidate while the other accepts her, he can cast a veto. The candidate is hired if accepted by ...

Given the importance of IT investments in today’s organization, firms tend to spend increasing amounts of time and resources to better manage IT projects. However these projects continue to have high failure rates thus highlighting the need for improved risk management. A stream of IS research has focused on identifying several causes of managerial risks. The theory base that has been used in t...

We introduce Fair Zero-Knowledge, a multi-verifier ZK system where every proof is guaranteed to be “zero-knowledge for all verifiers.” That is, if an honest verifier accepts a fair zero-knowledge proof, then he is assured that all other verifiers also learn nothing more than the verity of the statement in question, even if they maliciously collude with a cheating prover. We construct Fair Zero-...

13 *Corresponding authors: 14 Dr. Gejiao Wang, Tel.: 86-27-87281261, Fax: 86-27-87280670; 15 E-mail: [email protected]; [email protected] 16 Dr. Jizhong Zhou, Tel.: 1-405-3256094, Fax: 1-405-3257552; 17 E-mail: [email protected] 18 Other E-mail addresses: 19 Jinbo Xiong: [email protected]; Liyou Wu: [email protected]; 20 Shuxin Tu: [email protected]; Joy D. Van Nostrand: joy.vann...