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Indicators for Social and Economic Coping Capacity - Moving Toward a Working Definition of Adaptive Capacity”, Wesleyan-CMU Working Paper.
, 2001
"... Abstract This paper offers a practically motivated method for evaluating systems' abilities to handle external stress. The method is designed to assess the potential contributions of various adaptation options to improving systems' coping capacities by focusing attention directly on the u ..."
Abstract
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Cited by 109 (14 self)
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Abstract This paper offers a practically motivated method for evaluating systems' abilities to handle external stress. The method is designed to assess the potential contributions of various adaptation options to improving systems' coping capacities by focusing attention directly
1ROBUST ADAPTIVE BEAMFORMER WITH A LARGE CONTROLLED MAINLOBE
"... Abstract — Many advanced adaptive beamformers are robust against arbitrary array steering vector (ASV) mismatches within a presumed uncertainty set. Adaptive array tolerating significant steering direction error usually requires a large size of ASV uncertainty set. In such case, however, the output ..."
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robust adaptive beamformer is derived based on this new ASV uncertainty set. To eliminate the non-convex constraint on array magnitude response, we force the real part of array response to exceed unity regarding the ASVs within the uncertainty set. Furthermore, using the worst-case optimization technique
An adaptive algorithm selection framework
- In PACT ’04: Proceedings of the 13th International Conference on Parallel Architectures and Compilation Techniques
, 2004
"... Irregular and dynamic memory reference patterns can cause performance variations for low level algorithms in general and for parallel algorithms in particular. We have previously shown that parallel algorithms (reductions, sorting) are input sensitive and can benefit from adaptation to their inputs ..."
Abstract
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Cited by 13 (1 self)
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the performance is still within 2 % of the optimal scheme’s performance. (c) Adaptively selects the best algorithms for each phase of a dynamic program resulting in better overall performance (d) Adapts to the underlying machine architecture. (tested on IBM Regatta and HP V-Class).
CERTIFICATE OF APPROVAL
, 2014
"... Treatment plan optimization for rotating-shield brachytherapy ..."
QOS WITH RELIABILITY AND SCALABILITY IN ADAPTIVE SERVICE-BASED SYSTEMS
"... Service-based systems that are dynamically composed at runtime to provide complex, adaptive functionality are currently one of the main development paradigms in software engineering. However, the Quality of Service (QoS) delivered by these systems remains an important concern, and needs to be manage ..."
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to be managed in an equally adaptive and predictable way. To address this need, we introduce a novel, tool-supported framework for the development of adaptive servicebased systems called QoSMOS (QoS Management and Optimization of Service-based systems). QoSMOS can be used to develop service-based systems
4. TITLE AND SUBTITLE A Practical Theory of Micro-Solar Power Sensor Networks
, 2009
"... Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments ..."
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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments
1Sub-Nyquist Sampling: Bridging Theory and Practice
"... [ A review of past and recent strategies for sub-Nyquist sampling] Signal processing methods have changed substantially over the last several decades. In modern applications, an increasing number of functions is being pushed forward to sophisticated software algorithms, leaving only delicate finely- ..."
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statement which has had one of the most profound impacts on industrial development of digital signal processing (DSP) systems. Over the years, theory and practice in the field of sampling have developed in parallel routes. Contributions by many research groups suggest a multitude of methods, other than
Generalized Louvain method for community detection in large networks
"... Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ-paths. This te ..."
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Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ
Generalized Louvain Method for Community Detection in Large Networks
"... Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ-paths. This te ..."
Abstract
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Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ
Results 1 - 10
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218
