Headwater species and peripheral populations that occupy habitat at the edge of a species range may hold an increased conservation value to managers due to their potential to maximize intraspecies diversity and species' adaptive capabilities in the context of rapid environmental change. The southern Appalachian Mountains are the southern extent of the geographic range of native Salvelinus fonti...

The management of streaming data in distributed environments is gaining importance in many application areas such as sensor networks and e-science. This is mainly due to both, the need for immediate reactions to important events in input streams as well as the requirement to efficiently handle enormous data volumes that are generated, for example, by modern scientific experiments and observatio...

We present the concept of network traffic streams, and the ways they aggregate into flows through Internet links. We describe a method of measuring the size and lifetime of Internet streams, and use this method to characterise traffic distributions at two different sites. We find that although most streams (about 45% of them) are dragonflies, lasting less than 2 seconds, a significant number of...

In this paper we discuss the implementation of receiver-driven rate adaptation using multicast and SNR scalability as supported by Version 2 of ITU-T Recommendation H.263 -Video Coding for Low Bit Rate Communication. We compare the layered bit stream approach to receiver-driven rate adaptivity to the approach using multiple independent bit streams. We show that although the independent, non-sca...

CAUSES AND FUNCTIONAL CONSEQUENCES OF DENITRIFYING BACTERIA COMMUNITY STRUCTURE IN STREAMS AFFECTED TO VARYING DEGREES BY WATERSHED URBANIZATION by

This paper introduces a new approach to integrate different types of medium access control (MAC) protocols into a single wavelength-division-multiplexing (WDM) network system. The WDM network is based on a passive star coupler, and the purpose of integrating different MAC protocols is to efficiently accommodate various types of multimedia traffic streams with different characteristics and quali...

Understanding the behavior of human motion in social environments is important for various domains a smart city, e.g, transportation, automatic navigation service robots, efficient autonomous cars and surveillance systems. Examining past trajectories or environmental factors alone are not enough to address this problem. We propose novel methodology predict future humans based on attitude indivi...