We describe a two-stage robust optimization approach for solving network flow and design problems with uncertain demand. In two-stage network optimization, one defers a subset of the flow decisions until after the realization of the uncertain demand. Availability of such a recourse action allows one to come up with less conservative solutions compared to singlestage optimization. However, this ...

Since data envelopment analysis (DEA) introduced in 1970s, it has been widely applied to measure the efficiency of a wide variety of production and operation systems. Recently DEA has been extended to examine the efficiency of decision making units (DMUs) with two-stage network structures or processes, where the outputs from the first stage are intermediate measures that make up the inputs of t...

This paper considers tbe rearrangement process in the twostage btoadcast switching network presented by F. IC. Hwang and G . W. Richards in IEEE TRANSACTIONS ON COMMUNICATIONS, October 1985. By defining a certain function it is possible to calculate an upper bound on the number bf connections to be moved during a rearrangement. When each inlet channel appears twice, the maximum number of connec...

This paper describes the system submitted for the Sentiment Analysis in Twitter Task of SEMEVAL 2014 and specifically the Message Polarity Classification subtask. We used a 2–stage pipeline approach employing a linear SVM classifier at each stage and several features including morphological features, POS tags based features and lexicon based features.

This talk discusses some modeling and solution methods for the problem of pre‐disaster transportation network protection against uncertain future disasters. Given limited resources, the goal of the central planner is to choose the best set of network components to protect while allowing the network users to follow their own best perceived routes in any resultant network configuration. This prob...

The non-cooperative two-stage network DEA approach requires the assumption as to whether the first or second stage is the leader or follower. In many real-world situations such as evaluating sustainable design performances, however, information about the leader (dominant) stage is often unavailable as a firm ׳s internal decision process may not be observable for outsiders. In the current study,...

A new concept of neural network DC fault dictionary is presented. The neuraI network is combined with two networks: Learning Vector Quantization network and Mu~tiIayerPerceptron. Simulation results are presented and they show that the proposed approach is an improvement as compared with classicaI nearest neighbour role approach. INTRODUCTION AND BACKGROUND Two different approaches to fauIt loca...

Seungjin Choi Ruey-Wen Liu Laboratory for Image and Signal Analysis Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556 Phone: (219) 631{6999 Fax: (219) 631{4393 E-Mail: [email protected] ABSTRACT In this paper, an on-line implementation of the simultaneous diagonalization (SD) of two di erent symmetric matrices is addressed. A two-stage neural network which ...

In this a?ticle, we present a two stage neural network structure which combines the selforganizing map (SOM) and the multilayer perceptron (MLP) for the problem of texture classification. The ttxhrre features are extracted using a multichannel approach. These channels comprise of a set of Gaborfilters having different sizes, orientations and frequencies to constitute N-dimensional feature vecto...

We study sojourn times in a two-node open queueing network with a processor sharing node and a delay node, with Poisson arrivals at the PS node. Motivated by quality control and blood testing applications, we consider a feedback mechanism in which customers may either leave the system after service at the PS node or move to the delay node; from the delay node, they always return to the PS node ...