Stevens Institute of Technology

About: Stevens Institute of Technology is a education organization based out in Hoboken, New Jersey, United States. It is known for research contribution in the topics: Cognitive radio & Wireless network. The organization has 5440 authors who have published 12684 publications receiving 296875 citations. The organization is also known as: Stevens & Stevens Tech.

Biotic controls on CO2 and CH4 exchange in wetlands – a closed environment study

Abstract: Wetlands are significant sources of the important greenhouse gas CH4. Here we explore the use of an experimental system developed for the determination of continuous fluxes of CO2 and CH4 in closed ecosystem monoliths including the capture of (CO2)-C-14 and (CH4)-C-14 following pulse labelling with (CO2)-C-14. We show that, in the ecosystem studied, ebullition (bubble emission) may account for 18 to 50% of the total CH4 emission, representing fluxes that have been difficult to estimate accurately in the past. Furthermore, using plant removal and C-14 labelling techniques, we use the system to detail the direct influence of vascular plants on CH4 emission. This influence is observed to be dependent on the amount of vascular plants present. The results that may be produced using the presented experimental set-up have implications for an improved understanding of wetland ecosystem/atmosphere interactions, including possible feedback effects on climate change. In recent years much attention has been devoted to ascertaining and subsequently using the relationship between net ecosystem productivity and CH4 emission as a basis for extrapolation of fluxes across large areas. The experimental system presented may be used to study the complex relationship between vascular plants and CH4 emission and here we show examples of how this may vary considerably in nature between and even within ecosystems.

Integrated Cubic Phase Function for Linear FM Signal Analysis

Abstract: In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.

What project strategy really is: The fundamental building block in strategic project management

Abstract: Strategic project management is gradually becoming a popular and growing trend within the discipline of project management. The general idea is that project management teams must learn how to deal ...

Spontaneous symmetry breaking, gauge theories, the Higgs mechanism and all that

Abstract: A more or less self-contained introductory review is presented of the so-called Higgs phenomenon. This is the mechanism by which, in a certain class of gauge theories, the "photon" and would-be Goldstone scalar mesons conspire together to produce massive vector mesons via a "spontaneous" breaking of gauge invariance. It is conceivable that this is the way in which nature has chosen to unify weak and electromagnetic interactions. It is hoped that a reader of this review will come to understand the meaning of the first three sentences in this abstract and will then be able to proceed to confront a rapidly growing literature in the subject of gauge theories.