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Institution

Rensselaer Polytechnic Institute

EducationTroy, New York, United States
About: Rensselaer Polytechnic Institute is a education organization based out in Troy, New York, United States. It is known for research contribution in the topics: Terahertz radiation & Finite element method. The organization has 19024 authors who have published 39922 publications receiving 1414699 citations. The organization is also known as: RPI & Rensselaer Institute.


Papers
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Journal ArticleDOI
TL;DR: It is shown that a small rule set is capable of effectively capturing the behaviors of pedestrians at the micro-level while attaining realistic macro-level activity.
Abstract: Pedestrian flow is inherently complex, more so than vehicular flow, and development of microscopic models of pedestrian flow has been a daunting task for researchers. This paper presents the use of Cellular automata (CA) microsimulation for modeling bi-directional pedestrian walkways. It is shown that a small rule set is capable of effectively capturing the behaviors of pedestrians at the micro-level while attaining realistic macro-level activity. The model provides for simulating three modes of bi-directional pedestrian flow: (a) flows in directionally separated lanes, (b) interspersed flow, and (c) dynamic multi-lane (DML) flow. The emergent behavior that arises from the model, termed CA-Ped, is consistent with well-established fundamental properties.

680 citations

Journal ArticleDOI
TL;DR: The thermomechanical properties of ‘polymer nanocomposites’ are quantitatively equivalent to the well-documented case of planar polymer films and it is conjecture that the glass-transition process requires that the interphase regions surrounding different particles interact.
Abstract: The thermomechanical responses of polymers, which provide limitations to their practical use, are favourably altered by the addition of trace amounts of a nanofiller. However, the resulting changes in polymer properties are poorly understood, primarily due to the non-uniform spatial distribution of nanoparticles. Here we show that the thermomechanical properties of ‘polymer nanocomposites’ are quantitatively equivalent to the well-documented case of planar polymer films. We quantify this equivalence by drawing a direct analogy between film thickness and an appropriate experimental interparticle spacing. We show that the changes in glass-transition temperature with decreasing interparticle spacing for two filler surface treatments are quantitatively equivalent to the corresponding thin-film data with a non-wetting and a wetting polymer–particle interface. Our results offer new insights into the role of confinement on the glass transition, and we conclude that the mere presence of regions of modified mobility in the vicinity of the particle surfaces, that is, a simple two-layer model, is insufficient to explain our results. Rather, we conjecture that the glass-transition process requires that the interphase regions surrounding different particles interact.

675 citations

Journal ArticleDOI
TL;DR: This paper presents a mathematical framework for discussion of large space structure (LSS) control theory, and current trends in LSS control theory and related topics in general control science are surveyed.
Abstract: This paper presents a mathematical framework for discussion of large space structure (LSS) control theory. Within this framework, current trends in LSS control theory and related topics in general control science are surveyed.

672 citations

Journal ArticleDOI
TL;DR: In this article, the exponential decay of light output as a function of time provided a convenient method to rapidly estimate life by data extrapolation and showed that the life of these LEDs decreases in an exponential manner with increasing temperature.
Abstract: Even though light-emitting diodes (LEDs) may have a very long life, poorly designed LED lighting systems can experience a short life. Because heat at the p-n-junction is one of the main factors that affect the life of the LED, by knowing the relationship between life and heat, LED system manufacturers can design and build long-lasting systems. In this study, several white LEDs from the same manufacturer were subjected to life tests at different ambient temperatures. The exponential decay of light output as a function of time provided a convenient method to rapidly estimate life by data extrapolation. The life of these LEDs decreases in an exponential manner with increasing temperature. In a second experiment, several high-power white LEDs from different manufacturers were life-tested under similar conditions. Results show that the different products have significantly different life values.

671 citations

Journal ArticleDOI
TL;DR: CHARM is an efficient algorithm for mining all frequent closed itemsets using a dual itemset-tidset search tree, using an efficient hybrid search that skips many levels, and uses a technique called diffsets to reduce the memory footprint of intermediate computations.
Abstract: The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets, yet it can be orders of magnitude smaller than the set of all frequent itemsets. In this paper, we present CHARM, an efficient algorithm for mining all frequent closed itemsets. It enumerates closed sets using a dual itemset-tidset search tree, using an efficient hybrid search that skips many levels. It also uses a technique called diffsets to reduce the memory footprint of intermediate computations. Finally, it uses a fast hash-based approach to remove any "nonclosed" sets found during computation. We also present CHARM-L, an algorithm that outputs the closed itemset lattice, which is very useful for rule generation and visualization. An extensive experimental evaluation on a number of real and synthetic databases shows that CHARM is a state-of-the-art algorithm that outperforms previous methods. Further, CHARM-L explicitly generates the frequent closed itemset lattice.

668 citations


Authors

Showing all 19133 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Zhenan Bao169865106571
Murray F. Brennan16192597087
Ashok Kumar1515654164086
Joseph R. Ecker14838194860
Bruce E. Logan14059177351
Shih-Fu Chang13091772346
Michael G. Rossmann12159453409
Richard P. Van Duyne11640979671
Michael Lynch11242263461
Angel Rubio11093052731
Alan Campbell10968753463
Boris I. Yakobson10744345174
O. C. Zienkiewicz10745571204
John R. Reynolds10560750027
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022177
20211,118
20201,356
20191,328
20181,245