Most Likely Optimal Subsampled Markov Chain Monte Carlo

Journal of Systems Science and Complexity - Markov Chain Monte Carlo (MCMC) requires to evaluate the full data likelihood at different parameter values iteratively and is often computationally...     

模拟海水环境下MICP固化滨海粉细砂的试验研究

在模拟海水环境下采用微生物固化法来加固滨海粉细砂,并通过无侧限抗压强度试验、碳酸钙含量试验和微观结构分析,研究了尿素浓度对MICP固化滨海粉细砂砂柱的影响,同时对比分析了淡水环境下MICP固化粉细砂的效果.研究结果表明:在海水环境下MICP技术固化滨海粉细砂是有效的,砂柱试件的无侧限抗压强度与碳酸钙含量随着尿素浓度的增加先增大后减小,并且1 mol·L-1尿素处理试件的加固效果最好;海水的弱碱性环境可促进巴氏芽孢杆菌的生长和繁殖,进而可形成大量的高活性脲酶,从而大大提高了微生物诱导碳酸钙沉积的效率.     

国家治理视野下的中国反腐败国际刑事司法协助研究

自2014 年以来,中国开始高度重视对腐败公职人员的国际追逃和国际追赃工作,在反腐败国际刑事司法协助方面取得了令人瞩目成效,这种成效体现在国际追逃?国际追赃和外交上获得巨大成就.尽管中国反腐败国际刑事司法协助的立法不断完善,并取得了令人瞩目的成绩,但仍然存在许多亟待解决的问题,主要体现在5 个方面:国际追逃重于国际追赃,适用国际刑事司法协助条约展开反腐败国际追逃追赃的频率与已签署的国际条约数量不相称,注重个案而不注重制度完善,缺乏适用于国际多边或双边条约的成熟机制,反腐败相关法律之间存在冲突.     

广西高技术产业科技创新能力评价研究

文章在分析广西高技术产业发展现状基础上,构建高技术产业科技创新能力评价指标体系,运用熵值法,基于2015—2019年面板数据对广西高技术产业的创新能力进行实证研究.研究表明:广西高技术产业创新能力在西部五省中处于较低水平;广西高技术创新产出实力略低于创新投入实力,创新技术吸收实力仍相对较弱;广西高技术四大行业创新能力存在差异,即电子及通信设备制造产业科技创新投入和产出效果最好,医药制造业和电子通信及装备制造业创新投入高,创新产出评分偏低,医疗仪器设备及仪器仪表制造产业和计算机及办公设备制造产业创新吸收能力很弱.基于以上结论,文章从加大创新资源投入、推动创新平台建设、加强人才队伍建设等方面提出了对策建议.     

烟支硬度检测结果影响因素分析

为探究烟支硬度检测结果的影响因素,对烟支物理指标检测方案进行优化,提升卷烟质量监督水平.本试验以3类卷烟泰山(东方)为试验材料,分别设计不同检测方案、挡烟板位置、预压时间、压缩时间、压缩速度、环境湿度、贮存时间来对烟支硬度进行测定.烟支检测全项时硬度明显高于单独检测出的硬度;随挡烟板位置的增加,烟支硬度检测值先下降再上升;预压时间、压缩速度对烟支硬度检测结果影响不显著;不同的测试环境湿度会引起烟支水分变化,进而导致烟支硬度检测值产生变化;1个月内硬度不会发生明显变化,但是随着贮存时间延长而增长.应适当优化烟支物理指标检测顺序或方案,设置挡烟板位置为距离接嘴端55 mm,降低测定环境湿度为60％±2％,减少烟支贮存时间或控制贮存环境湿度,及时维护测定设备,以提升质量监督水平.     

基于GAN的通信干扰波形生成技术

现有通信干扰方法, 通常基于通信侦察中获取的目标信号特征进行干扰决策, 选取合适的干扰波形实施干扰, 难以应对目标信号特征未知或参数动态变化的情况。为此, 提出一种基于生成对抗网络(generative adversarial networks, GAN)的通信干扰波形生成技术, 运用GAN直接提取目标信号的潜在特征, 并生成与目标信号特征相似的干扰波形。在介绍GAN原理的基础上, 首先设计网络模型, 并对学习率进行优化, 使GAN更适用于时间序列通信干扰波形的生成。然后通过对不同类型和参数的通信信号进行干扰波形生成实验, 验证了该技术的泛化性。最后进行干扰效果对比试验, 结果表明, GAN生成的干扰波形干扰效果能够逼近最佳干扰效果。     

Study on the Centralization Strategy of the Blood Allocation Among Different Departments within a Hospital

By far, the researches on how to distribute blood products among different departments in hospital have not been further studied, though the problem of blood shortage and wastage that caused by improper blood allocation is severe, which may endanger patient’s lives and impose considerable costs on hospitals. In order to solve this problem, this paper mainly studies on how to distribute the blood items among different departments within a hospital and investigates the allocation approach with the novel management method by centralizing the inventory of several different departments. By integrating the blood inventory requirements of some departments, the hospital could reduce the rate of blood shortage and wastage effectively, release the pressure of the occupancy of resources and reduce the bullwhip effect of blood products. This paper illustrates the centralization principle in hospital and formulates the mixed integer programming model to work out the optimal allocation network scheme and the optimal inventory setting for every department. And the results of the numerical example demonstrate that this centralization method could considerably reduce blood shortage and wastage in hospital by about 72% and 90% respectively. Furthermore, it could decrease the total cost by about 108,540 RMB a month on blood supply chain management in the hospital and improve the effect of some certain surgeries by transfusing the fresh blood to patients.     

Bidirectional Feedback Dynamic Particle Filter with Big Data for the Particle Degeneracy Problem

Particle Filter(PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy,sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big traffic data from the system under study like never before. Moreover, some sensors can even receive control commands to adjust their monitoring parameters. To address these problems, a bidirectional dynamic data-driven improvement framework for PF(B3 DPF) is proposed.The B3 DPF enhances feedback between the simulation model and the big traffic data collected by the sensors,which means the execution strategies(sensor data management, parameters used in the weight computation,resampling) of B3 DPF can be optimized based on the simulation results and the types and dimensions of traffic data injected into B3 DPF can be adjusted dynamically. The first experiment indicates that the B3 DPF overcomes particle degeneracy and sample impoverishment problems and accurately estimates the state at a faster speed than the normal PF. More importantly, the new method has higher accuracy for multidimensional random systems.In the rest of experiments, the proposed framework is applied to estimate the traffic state on a real road network and obtains satisfactory results. More experiments can be designed to validate the universal properties of B3 DPF.     

A 12-bit 250-MS/s Charge-Domain Pipelined Analog-to-Digital Converter with Feed-Forward Common-Mode Charge Control

A feed-forward Common-Mode(CM) charge control circuit for a high-speed Charge-Domain(CD)pipelined Analog-to-Digital Converter(ADC) is presented herein.This study aims at solving the problem whereby the precision of CD pipelined ADCs is restricted by the variation in input CM charge,which can compensate for CM charge errors caused by a variation in CM charge input in real time.Based on the feed-forward CM charge control circuit,a 12-bit 250-MS/s CD pipelined ADC is designed and realized using a 1 P6 M 0.18-μm CMOS process.The ADC achieved a Spurious Free Dynamic Range(SFDR) of 78.1 d B and a Signal-to-Noise-and-Distortion Ratio(SNDR) of 64.6 d B for a 20.1-MHz input:a SFDR of 74.9 d B and SNDR of 62.0 d B were achieved for a 239.9-MHz input at full sampling rate.The variation in signal-to-noise ratio was less than 3 d B over a 0–1.2 V input CM voltage range.The power consumption of the prototype ADC is only 85 m W at 1.8 V supply,and it occupies an active die area of 2.24 mm~2.