Mass Inertia Effect Based Vibration Control Systems for Civil Engineering Structure and Infrastructure

This chapter introduces some recent research works carried out in the Blast Resistance and Protective Engineering laboratory of Harbin Institute of Technology (HIT-BRPE) during the past few years. The EMD control system is shown to be effective and feasible for vibration control of civil engineering structures subjected to, such as earthquake, excitations. The DDVC based AMD control system is suitable for low frequency vibration and motion control. The innovative passive TRID system is applicable for rotation and swing motion control, whereas linear TMD system is shown to be invalid for structural swinging motion. All of the control systems mentioned in this chapter, whatever active or passive or hybrid, have a common characteristic, which is to utilize the mass inertia effect either to provide counter force support for functioning of actuator, e.g. AMD subsystem, or to provide gyrus or rotary inertia for anti-swinging motion of suspended structure. Traditionally, these systems have been called Active Mass Damper/Driver (AMD) or Tuned Mass Damper (TMD), herein we want to emphasize the mass inertia effect and its functions. The basic is to be a necessary component of a control system, and more important is its way of working in the subsystem

Pattern Synthesis of Linear Antenna Array Using Improved Differential Evolution Algorithm with SPS Framework.

In this paper, an improved differential evolution (DE) algorithm with the successful-parent-selecting (SPS) framework, named SPS-JADE, is applied to the pattern synthesis of linear antenna arrays. Here, the pattern synthesis of the linear antenna arrays is viewed as an optimization problem with excitation amplitudes being the optimization variables and attaining sidelobe suppression and null depth being the optimization objectives. For this optimization problem, an improved DE algorithm named JADE is introduced, and the SPS framework is used to solve the stagnation problem of the DE algorithm, which further improves the DE algorithm's performance. Finally, the combined SPS-JADE algorithm is verified in simulation experiments of the pattern synthesis of an antenna array, and the results are compared with those obtained by other state-of-the-art random optimization algorithms. The results demonstrate that the proposed SPS-JADE algorithm is superior to other algorithms in the pattern synthesis performance with a lower sidelobe level and a more satisfactory null depth under the constraint of beamwidth requirement

Impact of CRISPR-Cas9-mediated CD73 knockout in pancreatic cancer

Background and objectives: Pancreatic cancer is one of the cancers with the highest mortality rate, because it’s early clinical symptoms are not obvious. Most patients are already in advanced stages of cancer when diagnosed, thus losing the chance of surgical treatment. Immunotherapy combined with conventional treatment can be an essential tool to improve patient survival and the identification of immune targets is a top priority for current research. In recent years, tumor immunotherapy has been gaining attention, and more and more immune checkpoints have been discovered, among which CD73 is one of the most popular ones. The aim of this study is to investigate the specific role of CD73 in pancreatic cancer and the genes that may regulate CD73. Methods: We used CRISPR/Cas9 technology to knock out CD73 in pancreatic cancer and determined the effect of CD73 deletion on pancreatic cancer by various in vitro cell function assays. Next we identified targets regulating CD73 in pancreatic cancer by CRISPR/Cas9 protein kinase library screening. We also enhanced the screening by fluorescence-activated cell sorting (FACS) to identify populations expressing high and low CD73 expression levels. DNA was extracted for deep sequencing to identify candidate genes. Results: We validate that CD73 expression is increased in pancreatic cancer and that knockout of CD73 inhibits cell proliferation and migration and blocks the G1 phase of the cell cycle. We also found that the deletion of CD73 inhibited the ERK/STAT3 pathway and activated the E-cadherin pathway. Loss of Pbk, Fastk, Cdk19, Adck5, Trim28, or Pfkp might be genes regulating CD73 in pancreatic cancer. Conclusion: Knockout of CD73 in pancreatic cancer inhibits tumor proliferation and migration through the ERK/STAT3 pathway, while E-cadherin may also be involved. CRISPR/Cas9 protein kinase library deletion combined with flow cytometry screening can be used to identify critical genes regulating CD73

Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM

Lithium-ion batteries are widely used in many electronic systems. Therefore, it is significantly important to estimate the lithium-ion battery’s remaining useful life (RUL), yet very difficult. One important reason is that the measured battery capacity data are often subject to the different levels of noise pollution. In this paper, a novel battery capacity prognostics approach is presented to estimate the RUL of lithium-ion batteries. Wavelet denoising is performed with different thresholds in order to weaken the strong noise and remove the weak noise. Relevance vector machine (RVM) improved by differential evolution (DE) algorithm is utilized to estimate the battery RUL based on the denoised data. An experiment including battery 5 capacity prognostics case and battery 18 capacity prognostics case is conducted and validated that the proposed approach can predict the trend of battery capacity trajectory closely and estimate the battery RUL accurately

The block mutual coherence property condition for signal recovery

Compressed sensing shows that a sparse signal can stably be recovered from incomplete linear measurements. But, in practical applications, some signals have additional structure, where the nonzero elements arise in some blocks. We call such signals as block-sparse signals. In this paper, the $\ell_2/\ell_1-\alpha\ell_2$ minimization method for the stable recovery of block-sparse signals is investigated. Sufficient conditions based on block mutual coherence property and associating upper bound estimations of error are established to ensure that block-sparse signals can be stably recovered in the presence of noise via the $\ell_2/\ell_1-\alpha\ell_2$ minimization method. For all we know, it is the first block mutual coherence property condition of stably reconstructing block-sparse signals by the $\ell_2/\ell_1-\alpha\ell_2$ minimization method. Additionally, the numerical experiments implemented verify the performance of the $\ell_2/\ell_1-\alpha\ell_2$ minimization.Comment: 14 pages, 8 figure