Power will be the key limiter to system scalability as interconnection networks take up an increasingly significant portion of power. In this paper, we propose architectural leakage power modeling methodology that achieves 95-98% accuracy against HSPICE estimates. When applied networks, combined with previous proposed dynamic models, gain valuable insights on total network consumption. Our shows router buffers a prime candidate for optimization. We thus investigate design space power-aware...

Abstract Spinal cord injury (SCI) leads to reactive inflammation and other harmful events that limit spinal regeneration. We propose an approach for studying the mechanisms at levels of network topology, gene ontology, signaling pathways, disease inference. treated inflammatory mediators as toxic chemicals retrieved genes interacting proteins associated with them via a set biological medical databases software. identified >10,000 SCI. Tumor necrosis factor (TNF) had highest scores, top 30...

This article investigates the autonomous exploration problem of an unmanned aerial vehicle (UAV) in a fully unknown three-dimensional (3D) space, subject to constraints collision avoidance, energy-saving, and computation consumption. To tackle this problem, hybrid planning algorithm named FSHP is proposed. The consists novel local planner designed explore space within onboard camera's field view (FoV) faster less computationally. combination frontier-based sampling-based methods, overcoming...

Power will be the key limiter to system scalability as interconnection networks take up an increasingly significant portion of power. In this paper, we propose architectural leakage power modeling methodology that achieves 95-98% accuracy against HSPICE estimates. When applied networks, combined with previous proposed dynamic models, gain valuable insights on total network consumption. Our shows router buffers a prime candidate for optimization. We thus investigate design space power-aware...

A major factor in the failure of central nervous system (CNS) axon regeneration is formation glial scar after injury CNS. Glial generates a dense barrier which regenerative axons cannot easily pass through or by. In this paper, mathematical model was established to explore how grow along surface bypass scar. This constructed based on spinal cord (SCI) repair experiments by transplanting Schwann cells as bridge over The Lattice Boltzmann Method (LBM) used for three-dimensional numerical...

Life is one of the most complex phenomena in universe. To understand biological systems, it requires integration experimental and computational research - other words a systems biology approach. Many theoretical methods models exist for exploring including well-known examples such as statistical inference, graph analysis, network dynamic modeling. These play key role development biology. The trend these gives an integrative framework to acquire global perspective beyond traditional...

A mathematical model has been formulated in accordance with cell chemotaxis and relevant experimental data. three-dimensional lattice Boltzmann method was used for numerical simulation. The present study observed the effects of glial scar size inhibitor concentration on regenerative axonal growth following spinal cord transection. simulation test comprised two parts: (1) when release rates promoter were constant, rate analyzed, concentrations promoters located at moving cones recorded. (2)...

Spinal cord injury (SCI) followed by extensive cell loss, inflammation, and scarring, often permanently damages neurological function. Biomaterial scaffolds are promising but currently have limited applicability in SCI because after entering the scaffold, regenerating axons tend to become trapped rarelyre-enter host tissue, reasons for which remain be completely explored. Here, we propose a mathematical model computer simulation characterizing regenerative growing along scaffold following...

Reaction wheels as the main actuators for attitude control of spacecraft are very prone to malfunction, which may significantly degrade performance system. In this paper a novel active fault-tolerant scheme is proposed react reaction wheel faults actively. A combined observer first designed detect faults, by combining traditional adaptive Luenberger and newly neural network (NN) observer. It inherits advantages low computational cost high NN Then, fault isolation given locate faults....