一种新的基于隐喻地图的RPA路径规划算法

智能化地制定机器人流程自动化(robotic process automation, RPA)执行路径有利于企业节约相关人力成本以及提高RPA的推广,提出基于改进深度双Q网络(double deep Q-learning algorithms, DDQN)算法进行RPA路径规划。首先针对存在RPA的作业环境即Web页面,不满足深度增强算法的探索条件的问题,借助隐喻地图的思想,通过构建虚拟环境来满足路径规划实验要求。同时为了提高DDQN算法探索效率,提出利用样本之间的位置信息的杰卡德系数,将其作为样本优先度结合基于排名的优先级(rank-based prioritization)构建新的采样方式。通过随机采用任务样本在虚拟环境上进行验证,证明其符合实验要求。进一步比较改进DDQN、深度Q网络(deep Q network, DQN)、DDQN、PPO以及SAC-Discrete算法的实验结果,结果显示改进算法的迭代次数更少、收敛速度更快以及回报值更高,验证了改进DDQN的有效性和可行性。     

无线传感器网络节点重部署研究进展

传感器节点随机部署导致的分布不均匀往往会使无线传感器网络的感测区域产生覆盖空洞或冗余覆盖,严重影响网络性能,因此需要重部署对网络拓扑进行修复。总结和分析近年来重部署相关的主要研究方向和成果。首先回顾了三种基础的节点感测模型;再从研究问题、策略设计优化目标和分类方法等三个方面对节点的重部署进行了全面的梳理;然后着重针对典型的传感器节点和Sink节点的重部署策略进行分类解释和比较分析;最后讨论强化学习框架下的节点重部署策略和安全监测需求下无线传感器网络迁移部署,并指出重部署策略的应用前景与发展趋势以及未来的优化方向。     

Nd(OR)_3催化异戊二烯聚合动力学及聚合物结构

研究了Nd(OR)_3—A1(i—Bu)_3一A1Et_2Cl体系催化异戊二烯聚合的动力学和所得聚异戊二烯的分子结构。结果表明,本体系的有效利用率为6％左右。在Al(i—Bu)_3用量较高时,主要发生活性中心向A1的链转移;在A1/Nd≤20,聚合温度低于室温条件下可获得“活的”聚合物。聚合物分子量高、分布宽,主要受A1(i—Bu)_3用量和聚合温度影响。分子量分布宽与其GPC图呈双峰有关。催化剂的相分离实验表明,体系中有两种不同的活性种存在:高活性生成高分子量聚合物的固相活性种和低活性生成低分子的可溶性活性种。聚异戊二烯的顺1,4—链节含量在95％左右,其余为3,4—链节。     

铝电解槽添加锂镁盐工业试验研究

本文论述了在20kA侧插自熔铝电解槽中添加锂盐、镁盐及锂镁盐复合剂的试验过程和技术经济效果。认为在铝电解槽中添加上述盐类在技术上是可行的,在经济上是有利的。对提高铝电解槽的电流效率和降低直流电单耗具有显著作用。     

实现金相图象彩色化的一种新方法

本文提出一种简便的方法,仅利用一彩色滤波器便可以从金相显微镜实时地观察到假彩色编码图象。图象棱角分明、色彩鲜艳丰富,并能显示黑白显微放大图象所看不到的细节。 我们使用的方法是使黑白图象假彩色化,它利用改造物的空间频谱(即在不同频谱处仅让“某种颜色的光”通过)而实现的。 作者给出理论解析、实验装置和实验结果,并指出这种方法的优点及其在冶金,机械等领域的潜在实用前景。     

Structural characterization of protein tryptic peptides via liquid chromatography/mass spectrometry and collision-induced dissociation of their doubly charged molecular ions

The formation of multiply charged molecular ions via the field-assisted ion evaporation mechanism during electrospray ionization enables the use of an atmospheric pressure ionization quadrupole mass spectrometer system for characterizing biologically important peptides. The straightforward implementation of high-performance liquid chromatography (HPLC) into this new strategy to determine the molecular weight of tryptic peptides via the pneumatically assisted electrospray (ion spray) interface is presented. Examples utilizing both microbore (1.0 mm) and standard bore (4.6 mm) inside diameter columns are shown for the LC/MS molecular weight determination of tryptic peptides in methionyl-human growth hormone (met-hGH). Injected levels from 50 to 75 pmol of tryptic digest onto 1 mm i.d. HPLC columns provided full-scan LC/MS or LC/MS/MS results without postcolumn splitting of the effluent. When standard 4.6 mm i.d. HPLC columns were used, a 20:1 postcolumn split was utilized, which required from 1 to 5 nmol of injected tryptic digest for full-scan LC/MS or LC/MS/MS results. Collision-induced dissociation (CID) mass spectra resulting from either "infusion" or on-line LC/MS/MS analysis of the abundant doubly charged ions that predominate for tryptic peptides under electrospray conditions provided structurally useful sequence information for met-hGH and human hemoglobin tryptic digests. The slower mass spectrometer scan rate used during infusion of sample provides more accurate mass assignments than on-line LC/MS or LC/MS/MS, but the latter on-line experiments preclude ambiguities caused by matrix or component interferences. However, in some instances very weak CID product ions preclude complete tryptic peptide structural characterization based upon the CID data alone.(ABSTRACT TRUNCATED AT 250 WORDS)     

The frictional behaviour of LiF single crystals

A study has been made of the influence of initial surface roughness, renewable and non-renewable surface contaminants, and irradiation hardening on the coefficient of friction for one LiF single crystal (A) sliding on another (B) in {100}_A<010>_A{100}_B 010_B orientation at 295 K. The normal load was 1 N, the nominal contact pressure 0.1 MPa, the sliding velocity 0.2 to 0.6 mm sec^–1, and the amplitude of the (reciprocate) motion a few millimetres. Any influence of non-renewable contaminants persisted only for cumulative relative displacements 0.1 m, and that of micrometre-scale initial surface roughness only for a few metres. At steady state in the presence of renewable contaminants the coefficient of friction varied only from a high of 0.45 in ultra-high vacuum ( 7.5 × 10^–8 Pa) and dry nitrogen-rich air ( 10⁵ Pa, relative humidity 15%) to a low of 0.38 in moist nitrogen-rich air ( 10⁵ Pa, relative humidity 50%). Irradiation hardening had no effect on the coefficient of friction at steady state. The worn surfaces created by steady-state sliding always exhibited a grooved topography partly obscured by more-or-less adherent layers of variously consolidated equiaxed debris particles 100 nm in size. Owing to the action of image forces, these particles contained no dislocations. It is suggested that the coefficient of friction was determined at steady state by the stress needed to shear these tiny particles past one another as near-rigid bodies.     

游戏化教学设计在高校课程中的实践研究

目前游戏化学习的研究主要集中于中小学,本研究是游戏化课程设计在高等教育中的探索,通过在高校课程中引入一系列游戏化元素,并观察学习者行为,利用网络系统日志及访谈法,分析学习者的游戏化参与行为,以及对学习过程和成绩的影响.研究发现资源积累、排行榜等游戏化元素容易被学习者接受,且游戏化元素使用频率与学习成绩存在正相关关系.     

Person re-identification based on multi-appearance model

Person re-identification plays important roles in many practical applications. Due to various human poses, complex backgrounds and similarity of person clothes, person re-identification is still a challenging task. In this paper, we mainly focus on the robust and discriminative appearance feature representation and proposed a novel multi-appearance method for person re-identification. First, we proposed a deep feature fusion method and get the multi-appearance feature by combining two Convolutional Neural Networks. Then, in order to further enhance the representation of the appearance feature, the multi-part model was constructed by combining the whole body and the six body parts. Additionally, we optimized the feature extraction process by adding a pooling layer. Comprehensive and comparative experiments with the state-of-the-art methods over publicly available datasets demonstrated that the proposed method can get promising results.

     

Full-scaled deep metric learning for pedestrian re-identification

Multimedia Tools and Applications - The pedestrian re-identification problem (i.e., re-id) is essential and pre-requisite in multi-camera video surveillance studies, provided the fact that...