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Ubiquity and large intersections properties under digit frequencies constraints

by Julien Barral, Projet Sisyphe, Inria Rocquencourt , 2009
"... digit frequencies constraints ..."
Abstract - Cited by 9 (4 self) - Add to MetaCart
digit frequencies constraints

Low-frequency constraints on the spectra of the lobes

by M. J. Hardcastle
"... of the microquasar GRS 1758–258 ..."
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of the microquasar GRS 1758–258

GPS-Less Low Cost Outdoor Localization for Very Small Devices.

by Nirupama Bulusu , John Heidemann , Deborah Estrin - IEEE Personal Communications Magazine, , 2000
"... Abstract-Instrumenting the physical world through large networks of wireless sensor nodes, particularly for applications like environmental monitoring of water and soil, requires that these nodes be very small, light, untethered and unobtrusive. The problem of localization, i.e., determining where ..."
Abstract - Cited by 1000 (27 self) - Add to MetaCart
a given node is physically located in a network is a challenging one, and yet extremely crucial for many of these applications. Practical considerations such as the small size, form factor, cost and power constraints of nodes preclude the reliance on GPS (Global Positioning System) on all nodes

Multi-Robot Area Patrol under Frequency Constraints

by Yehuda Elmaliach , Noa Agmon , Gal A. Kaminka
"... This paper discusses the problem of generating patrol paths for a team of mobile robots inside a designated target area. Patrolling requires an area to be visited repeatedly by the robot(s) in order to monitor its current state. First, we present frequency optimization criteria used for evaluation ..."
Abstract - Cited by 64 (15 self) - Add to MetaCart
directionality and velocity constraints. Robots are positioned uniformly along this path, using a second algorithm. Moreover, the solution is guaranteed to be robust in the sense that uniform frequency of the patrol is achieved as long as at least one robot works properly.

Bridge Topology Optimisation with Stress, Displacement and Frequency Constraints

by Hong Guan, Yin-jung Chen, Yew-chaye Loo, Yi-min Xie, Grant P. Steven
"... The principal stress based Evolutionary Structural Optimisation (ESO) method is presented herein for topology optimisation of arch, tied arch, cable-stayed and suspension bridges with both stress and displacement constraints. Two performance index formulas are developed to determine the efficiency o ..."
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of the topology design. A refined mesh scheme is proposed to improve the details of the final topology without resorting to the complete analysis of a finer mesh. Furthermore, cable-supported bridges are optimised with frequency constraint incorporating the "nibbling " technique. The applicability

Optimization of Skeletal Buildings under Frequency Constraints

by Mohammad Reza Ghasemi, Amin Ghorbani
"... Abstract—The main goal of the present work is to decrease the computational burden for optimum design of steel frames with frequency constraints using a new type of neural networks called Wavelet Neural Network. It is contested to train a suitable neural network for frequency approximation work as t ..."
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Abstract—The main goal of the present work is to decrease the computational burden for optimum design of steel frames with frequency constraints using a new type of neural networks called Wavelet Neural Network. It is contested to train a suitable neural network for frequency approximation work

Optimal string mining under frequency constraints

by Johannes Fischer, Volker Heun, Stefan Kramer - Closed Sets for Labeled Data?, PKDD, 2006 , 2006
"... Abstract. We propose a new algorithmic framework that solves frequency-related data mining queries on databases of strings in optimal time, i.e., in time linear in the input and the output size. The additional space is linear in the input size. Our framework can be used to mine frequent strings, eme ..."
Abstract - Cited by 13 (4 self) - Add to MetaCart
Abstract. We propose a new algorithmic framework that solves frequency-related data mining queries on databases of strings in optimal time, i.e., in time linear in the input and the output size. The additional space is linear in the input size. Our framework can be used to mine frequent strings

Space-Efficient String Mining under Frequency Constraints

by Johannes Fischer, Universität Tübingen
"... Let D1 and D2 be two databases (i.e. multisets) of d strings, over an alphabet Σ, with overall length n. We study the problem of mining discriminative patterns between D1 and D2 — e.g., patterns that are frequent in one database but not in the other, emerging patterns, or patterns satisfying other f ..."
Abstract - Cited by 7 (1 self) - Add to MetaCart
frequency-related constraints. Using the algorithmic framework by Hui (CPM 1992), one can solve several variants of this problem in the optimal linear time with the aid of suffix trees or suffix arrays. This stands in high contrast to other pattern domains such as itemsets or subgraphs, where super

MODULATION FREQUENCY CONSTRAINTS ON WOW AND FLUTTER DETERMINATION

by Przemysław Maziewski , 2007
"... Hitherto developed algorithms for wow and flutter characteristic determination were found useful in some real-life restoration procedures, however, there was no study of their capabili-ties in terms of the maximal parasite modulation frequency that can be determined with their application. This pape ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Hitherto developed algorithms for wow and flutter characteristic determination were found useful in some real-life restoration procedures, however, there was no study of their capabili-ties in terms of the maximal parasite modulation frequency that can be determined with their application

Pushing Frequency Constraint to Utility Mining Model

by Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu
"... Abstract. Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high utilities, but the number of rich-enough customers is limited. To overcome the weakness of the two models, we pr ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract. Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high utilities, but the number of rich-enough customers is limited. To overcome the weakness of the two models, we
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