The mantis shrimp telson reveals how ridged biological shields control deformation under impact. Inspired by this architecture, telson‐inspired ridged curved shells transform ridge geometry and macroscopic curvature into bidirectional snap‐through, tunable stiffness, and enhanced hysteretic energy dissipation for multifunctional architected materials ...
Phani Saketh Dasika +5 more
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Compressive stress-driven mechanosignaling in chondrocytes: From molecular mechanism to scaffold engineering and translational opportunities. [PDF]
Mou Y +9 more
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Stabilization of compressed earth blocks using recycled thermoplastics: experimental study of key parameters. [PDF]
Salem LH +4 more
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Compressive Stress-Assisted Drilling for Delamination Suppression in C/SiC Composites: Mechanism and Experimental Validation. [PDF]
Zhang Q, Shi Z, Wang C, Shao G, Zhang X.
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Sustainable Rubberized RCC Using Locally Sourced Waste Rubber Tire Powder and GGBFS-Based Binder. [PDF]
Öztürk İŞ +6 more
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Optimised Machine Learning and Statistical Modelling for Predicting the Design Strengths of Hardened 3D Printed Concrete. [PDF]
Omar MN, Batikha M, Uddin MA.
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Study on Road Performance and Substitution Rate Optimization of Highway Solid Waste Recycled Aggregate. [PDF]
Lin Z, Long H, Liu Y, Zhao Q.
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Compressive sensing: To compress or not to compress
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011In this paper, we consider the compressive sensing scheme from the information theory point of view and derive the lower bound of the probability of error for CS when length N of the information vector is large. The result has been shown that, for an i.i.d.
Davis Kirachaiwanich, Qilian Liang
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To compress or not to compress?
Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference, 2002For practical communications which transmit finite blocks of source data over noisy channels, we question the common practice to compress (C) the source and then to add redundancy for error control. Rather we exploit the redundancy of the non-compressed source (NC) at the channel decoder by source-controlled channel-decoding. For a simple binary Markov
G. Buch +3 more
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Compressed sensing of compressible signals
2017 IEEE International Symposium on Information Theory (ISIT), 2017A novel low-complexity robust-to-noise iterative algorithm named compression-based gradient descent (C-GD) algorithm is proposed. C-GD is a generic compressed sensing recovery algorithm, that at its core, employs compression codes, such as JPEG2000 and MPEG4.
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