State space approximation for general fractional order dynamic systems

Approximations for general fractional order dynamic systems are of much theoretical and practical interest. In this paper, a new approximate method for fractional order integrator is proposed. The poles of the approximate model are unrelated to the order of integrator. This feature shows benefits on extending the algorithm to the systems containing various fractional orders. Then a unified approximate method is derived for general fractional order linear or nonlinear dynamic systems via combining the proposed new method with the distributed frequency model approach. Numerical examples are given to show the wide applicability of our method and to illustrate the acceptable accuracy for approximations as well.     

Making sky lanterns from polygonal meshes

Releasing sky lanterns is a popular way of celebrating festivals and ceremonies in the Asian countries. This paper presents a computer-aided approach to help novice users to design flyable sky lantern with desired shape. Given a closed up-right 3D model with a user-specified cutting on the bottom, our system optimizes the shape by regularizing the boundary, smoothing the geometry and improving the volume-to-area ratio to make it feasible for flying. The optimized shape is then approximated by a set of developable patches. Next, through a physical analysis step that tests the flying condition and determines the optimal size, the approximated shape is flattened into 2D patches, which can be printed out and glued together to form the airbag. Finally, the user can attach the airbag to a bamboo frame and assemble the fuel cell. We successfully apply our prototype system to design and construct real sky lanterns.     

硫化矿床开采特高温炮孔的装药爆破安全技术

本文阐述了高温矿床火区开采特高温炮孔的装药爆破安全技术。提出了掌握炸药安全使用温度,采取隔离、隔热包装,降低孔温及提高临界温度等安全措施。     

Know by a handful the whole sack: efficient sampling for top-k influential user identification in large graphs

Influence Maximization aims to find the top-K influential individuals to maximize the influence spread within a social network, which remains an important yet challenging problem. Most existing greedy algorithms mainly focus on computing the exact influence spread, leading to low computational efficiency and limiting their application to real-world social networks. While in this paper we show that through supervised sampling, we can efficiently estimate the influence spread at only negligible cost of precision, thus significantly reducing the execution time. Motivated by this, we propose ESMCE, a power-law exponent supervised Monte Carlo estimation method. In particular, ESMCE exploits the power-law exponent of the social network to guide the sampling, and employs multiple iterative steps to guarantee the estimation accuracy. Moreover, ESMCE shows excellent scalability and well suits large-scale social networks. Extensive experiments on six real-world social networks demonstrate that, compared with state-of-the-art greedy algorithms, ESMCE is able to achieve almost two orders of magnitude speedup in execution time with only negligible error (2.21 % on average) in influence spread.     

Structural optimization of the cross-beam of a gantry machine tool based on grey relational analysis

Crossbeam structural design of gantry machine tool is a multi-level, multi-index and multi-scheme decision-making problem. In order to solve the above problem, the optimum seeking model of crossbeam structure was built through using the grey relational analysis and Analytic Hierarchy Process. The finite element analysis of the static and dynamic performance parameters for four kinds of crossbeam structural schemes designed had been done, and the optimal design scheme was selected by using the optimum seeking model. After conducting sensitivity analysis for the optimal crossbeam selected, the reasonable design variables were obtained, and the dynamic optimization design model of crossbeam was established. Six groups of non-inferior solutions were obtained after solving the optimization design model. The optimal solution was selected from the non-inferior solution set through using the crossbeam structural optimization method based on grey relational analysis again, which makes the crossbeam’s dynamic performance improving greatly. The dynamic experiments on the crossbeams before and after optimization design were conducted, then the experimental results show that the first four order natural frequencies of the crossbeam increase 17.56 %, 19.36 %, 17.04 % and 19.58 % respectively, which proves that the structural optimization design method based on grey relational analysis proposed in this paper is reasonable and practicable.     

基于UML的职业技能竞赛管理平台建模研究

随着职业技能竞赛活动逐年增多,规模不断扩大,传统的管理方法不再适应竞赛主办单位、承办单位以及参赛单位的需求。在分析职业技能竞赛管理需求的基础上,完成了功能模块的设计,并运用基于面向对象的统一建模语言(UML),完成了职业技能竞赛管理平台设计的可视化表达。     

挤出复合取聚烯烃材料用粘合剂

研制一种适用于低温挤出复合聚烯烃材料用的粘合剂，即在变熔融指数树脂链上，接上异氰酸酯极性基团。其复合强度大于５Ｎ／１５ｍｍ，热合强度大于５０Ｎ／１５ｍｍ，且无毒、无异味、耐γ射线照射、工艺性能好。     

空中预警机三维图像物体检测模型仿真

在当前的空中预警机三维视觉检测中,在进行高空深层视觉检测中,自然环境中会出现大量的检测物,对需要进行三维视觉建模检测的物体形成阴影遮挡干扰.提出了一种新的空中预警机三维图像物体检测方法.把检测过程中遮挡干扰当成一种噪声因素,根据因式分解的相关理论,建立空中预警机三维视觉模型.根据不同遮挡干扰特征点在空中预警机三维视觉建模过程中所占的比率不同,根据非线性滤波原理,设置空中预警机三维视觉对象图像的像素,构建非线性滤波窗口构成的序列,对该空中预警机三维视觉模型进行滤波处理,去除遮挡干扰.实验结果表明,该算法进行空中预警机三维视觉检测,精度达到要求,有一定的实际应用价值.     

Excel VBA在对口中职招生考试中的应用

通过对Excel进行适当的设置,函数合理应用以及结合VBA编程,针对对口中职招生考试的实际情况,设计完成了一个界面友好、使用方便、高效的绿色电子答题平台.重点对Excel数据安全作了阐述和设计,在实际应用中取得了较好的效果.     

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。