Results 211 to 220 of about 1,306 (257)
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Multi‐million cycle reliability for liquid metal stretchable electronics is achieved through a continuous cycle of mechanical testing, failure mode and mechanism analysis and implementing subsequent mitigation strategies. ABSTRACT Stretchable electronics that combine mechanical compliance with reliable electrical performance are essential for ...
Lennert Purnal +8 more
wiley +1 more source
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Massiveness of the sets of extremal functions in some problems in approximation theory
Ukrainian Mathematical Journal, 1993The author establishes the existence of extremal functions for some problems in approximation theory and proves that the sets of functions of this sort are massive. His approach is based on the notions of category theory and the Baire theorem. He also considers the applications of his main result to problems in approximation theory.
V A Kofanov, Kofanov V A
exaly +3 more sources
Extremal graph theory and finite forcibility [PDF]
We study the uniqueness of optimal solutions to extremal graph theory problems. Our main result is a counterexample to the following conjecture of Lov´asz, which is often referred to as saying that “every extremal graph theory problem has a finitely ...
Andrzej Grzesik +1 more
exaly +2 more sources
Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory
IEEE Transactions on Industrial Informatics, 2022Existing data-driven fault diagnosis methods assume that the label sets of the training data and test data are consistent, which is usually not applicable for real applications since the fault modes that occur in the test phase are unpredictable. To address this problem, open set fault diagnosis (OSFD), where the test label set consists of a portion of
Xiaolei Yu +6 more
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Construction of Binary Sensing Matrices Using Extremal Set Theory
IEEE Signal Processing Letters, 2017The construction of binary sensing matrices is one of the active directions in the emerging field of compressed sensing (CS). Due to their sparse structure and competitive performance, they provide multiplier-less and faster dimensionality reduction in applications such as data compression.
R. Ramu Naidu, Chandra R. Murthy
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Coupling Deep Models and Extreme Value Theory for Open Set Fault Diagnosis
2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2020Existing deep-learning-based fault diagnosis methods assume that all possible fault modes are available during training process, which is sometimes not consistent with real applications. Unknown fault types may occur in the testing phase due to the fact that it is impossible to collect all the fault modes in the training phase.
Xiaolei Yu +5 more
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