Abstract The problem of inhibition horseshoe chaos in a nonlinear hysteretic systems using negative stiffness is investigated this paper. Bouc–Wen model used to describe the force produced by both purely and linear elastic springs. analytical investigation Hamiltonian shows that appearance separatrix system directly related parameters forces. This means transverse intersection between perturbed...

The Bouc–Wen nonlinear hysteretic model has many control parameters, which been widely used in the field of seismic isolation. isolation layer is most important part system, can be effectively simulated by model, and system reflect different dynamic characteristics under parameters. Therefore, this paper mainly studies analyzes influence factors based on incremental harmonic balance method, pro...

The design of the memory hierarchy is crucial to the performance of high performance computer systems. The incorporation of multiple levels of caches into the memory hierarchy is known to increase the performance of high end machines but the development of architectural prototypes of various memory hierarchy designs is costly and time consuming. In this paper, we will describe a single pass met...

Reactive Oxygen Species-Initiated Autophagy Opposes Aldosterone-Induced 1 Podocyte Injury 2 3 Mi Bai , Ruochen Che , Yue Zhang , Yanggang Yuan , Chunhua Zhu , Guixia Ding 4 , Zhanjun Jia , Songming Huang , and Aihua Zhang 1,2 5 6 1 Department of Nephrology, Nanjing Children's Hospital, Nanjing Medical University, 7 Nanjing, China 8 2 Institute of Pediatrics, Nanjing Medical University, Nanjing,...

This thesis first takes a broad look at various music similarity measures in the literature, and then focuses on two different model-free music similarity measures and evaluates them. The term model-free in this context indicates that these music similarity measures use few or no background knowledge about music whatsoever, they are more general compared with other approaches and can, with litt...

Natural language generation plays a critical role in spoken dialogue systems. We present a new approach to natural language generation for task-oriented dialogue using recurrent neural networks in an encoder-decoder framework. In contrast to previous work, our model uses both lexicalized and delexicalized components i.e. slot-value pairs for dialogue acts, with slots and corresponding values al...