The Great Lakes-St. Lawrence River basin community is challenged in achieving a basin that thrives ecologically, economically and socially. Although natural science, social science, policy, and law literatures offer insight into understanding and developing policies for the Great Lakes-St. Lawrence River basin, these literatures are constructed in disciplinary silos. Scenario analysis supports ...

Face clustering is a task to partition facial images into disjoint clusters. In this paper, we investigate a specific problem of face clustering in videos. Unlike traditional face clustering problem with a given collection of images from multiple sources, our task deals with set of face tracks with information about frame ID. Thus, we can exploit two kinds of prior knowledge about the temporal ...

In this report, we define linear dependency and independency of the interval vectors and present an effective method for checking the linear independency of interval vectors. As a possible application of the interval vectors to the robust control problem, the robust controllability and un-controllability problems of uncertain interval system are solved. Through the numerical examples and by com...

Word segmentation for a Chinese sentence is essential for many applications in language and speech processing. There’s no perfect method that could achieve word segmentation without any errors. We propose a confidence measure for the segmentation result to cope with the problem caused by the errors. The effective method depends mainly on the error analysis of the word segmentation. With the con...

We present in this paper PETFEN, a Performance Evaluation Tool for Flow-level network modeling of Ethernet Networks. Flow-level network models are a useful tool to dimension and predict various performances of networks with TCP and UDP flows, providing information such as mean flow bandwidths, link utilizations or queue sizes. While the literature on flow-level network models is extensive, ther...

Wireless sensor nodes are highly energy constrained devices. They have limited battery life due to various constraints of sensor nodes such as size and cost, etc. Moreover, most of the Wireless Sensor Network (WSN) applications render it impossible to charge or replace the battery of sensor nodes. Therefore, optimal use of node energy is a major challenge in wireless sensor networks. Clustering...

Within the area of optical pulse propagation in long-haul transmission systems various designs for dispersion compensation are investigated. On the basis of variational procedures with collective coordinates, a very effective method is presented which allows to determine quite accurately the possible operation points. We have obtained an analytical formula for the Ž . soliton power enhancement....

This work analyzes the initial value problem in ordinary differential equations with a parametric lexicographic linear program (LP) embedded. The LP is said to be embedded since the dynamics depend on the solution of the LP, which is in turn parameterized by the dynamic states. This problem formulation finds application in dynamic flux balance analysis, which serves as a modeling framework for ...

In this paper, we consider identifying the minimum effective dose (MED) in a dose–response study when survival data are subject to random right-censorship, where the MED is defined to be the smallest dose level under study that has survival advantage over the zero-dose control. To this end, we suggest single-step-down testing procedures based on three different types of weighted logrank statist...

This paper presents an effective method for fingerprint classification using data mining approach. Initially, it generates a numeric code sequence for each fingerprint image based on the ridge flow patterns. Then for each class, a seed is selected by using a frequent itemsets generation technique. These seeds are subsequently used for clustering the fingerprint images. The proposed method was t...