Study on early warning index of spatial deformation for high concrete dam

Owing to the deficiency in early warning for high concrete dam,a formula was established to characterize the deformation behavior of high concrete dam as a whole.The early warning index of spatial deformation was calculated by low probability principle on the basis of the deformation entropy formula proposed.The steps were as follows.Firstly,the probability method was utilized to define the degree of order and degree of chaos for each survey point.Secondly,the weight distribution among the survey points was...     

安全套生产线计算机群控与制造执行系统的研制

针对多条安全套生产线自动控制的要求,采用分布式结构设计了安全套生产线计算机群控系统,并初步研究了MES的设计问题.介绍了安全套生产的工艺要求、系统的控制方案和硬件、软件的设计.计算机群控系统由一个主节点和多个从节点组成,主节点监督和管理所有从节点, 从节点测量和控制生产过程参数.制造执行系统实现了对生产过程的优化和调度.实际应用表明,整个系统性能稳定可靠,满足了生产要求,获得了良好的经济效益.     

基于有限体积法的G4-73型离心风机三维流场数值模拟

基于有限体积法,利用Fluent软件对G4-73型离心风机内部流场进行了全三维数值模拟。结果表明:蜗壳内的低能流体区沿轴向朝流动方向推进;叶轮内的静压和动压在叶片吸力面靠近叶轮进口处最低,叶轮流道中动压等值线呈"凸"型分布,在叶片压力面靠近叶轮出口处静压和动压达到最大值,且叶轮出口相对总压损失集中在吸力面和前盘侧。     

基于DSP交流永磁同步电机伺服系统的设计

以当前最先进的数字信号处理芯片TMS320F2812为核心控制单元,尝试设计永磁同步电机伺服系统,包括系统硬件电路设计、系统控制策略与软件设计．     

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...     

NN-based Prediction Interval for Nonlinear Processes Controller

Neural networks (NNs) are extensively used in modelling, optimization, and control of nonlinear plants. NN-based inverse type point prediction models are commonly used for nonlinear process control. However, prediction errors (root mean square error (RMSE), mean absolute percentage error (MAPE) etc.) significantly increase in the presence of disturbances and uncertainties. In contrast to point forecast, prediction interval (PI)-based forecast bears extra information such as the prediction accuracy. The PI provides tighter upper and lower bounds with considering uncertainties due to the model mismatch and time dependent or time independent noises for a given confidence level. The use of PIs in the NN controller (NNC) as additional inputs can improve the controller performance. In the present work, the PIs are utilized in control applications, in particular PIs are integrated in the NN internal model-based control framework. A PI-based model that developed using lower upper bound estimation method (LUBE) is used as an online estimator of PIs for the proposed PI-based controller (PIC). PIs along with other inputs for a traditional NN are used to train the PIC to predict the control signal. The proposed controller is tested for two case studies. These include, a chemical reactor, which is a continuous stirred tank reactor (case 1) and a numerical nonlinear plant model (case 2). Simulation results reveal that the tracking performance of the proposed controller is superior to the traditional NNC in terms of setpoint tracking and disturbance rejections. More precisely, 36% and 15% improvements can be achieved using the proposed PIC over the NNC in terms of IAE for case 1 and case 2, respectively for setpoint tracking with step changes.

     

Reaction mechanism and microstructure evolution of reaction sintered <Emphasis Type="Italic">h</Emphasis>-BN

Hexagonal boron nitride ceramic (h-BN) based on the nitridation of B powders was obtained by reaction sintering method. The effects of sintering temperature on the mechanical properties and microstructure of the resultant products were investigated and the reaction mechanism was discussed. Results showed that the reaction between B and N₂ occurred vigorously at temperatures ranging from 1 000 °C to 1 300 °C, which resulted in the generation of t-BN. When the temperature exceeded 1 450 °C, transformation from t-BN to h-BN began to occur. As the sintering temperature increased, the spherical particles of t-BN gradually transformed into fine sheet particles of h-BN. These particles subsequently displayed a compact arrangement to achieve a more uniform microstructure, thereby increasing the strength.     

Estimation of access failure probability in D2D underlaid cellular networks

Device-to-Device (D2D) communication can reduce the mobile devices' energy consumption and increase the spectral efficiency in D2D underlaid cellular networks. However, D2D users will interfere with co-channel cellular users, which can lead to cellular communication access failures. There are two reasons for cellular communication access failures: (1)D2D interference and (2)insufficient spectrum resources. To address the absence of research on the performance of cellular services' access in D2D underlaid cellular networks, this paper defines the new services' access failure probability and handoff services' access failure probability to evaluate the effect of both D2D interference and limited resources on cellular communication access. Based on the stochastic geometry and stochastic process, a random network model is presented to estimate the access failure probabilities, which can provide guidelines for network design to ensure cellular services' access. The accuracy of the estimated access failure probability is validated through extensive simulations.     

综合物探方法在地面塌陷勘察中的应用

地面塌陷引发的地质灾害对国民经济建设的危害重大。目前,探测塌陷区的物探方法种类繁多,但没有一种方法能全面解决各种问题,需综合运用多种方法。以安徽某地面塌陷研究对象,运用高密度电法和瞬变电磁法探测重点塌陷区域,简要介绍了高密度电法、瞬变电磁法的工作原理、方法特点、数据采集和数据处理,并对数据进行了解释,通过此次探测研究,取得了明显的成果。结果表明,两种方法相互验证,相互参照,相互补充,查明了塌陷区及其附近的覆盖层厚度、地质构造和地层岩性变化,为后期地面塌陷灾害治理提供了科学依据。     

姚培谦家世生平考论

姚培谦,清初著名学者,松江人,主要活动于雍正、乾隆两朝。其一生侘傺不偶,境遇轗轲,却能泰然处之,恬淡忘机,气节人品为时所重。姚培谦出身金山望族,其家族德业为乡邦式,崇文尚学、风雅仁爱之宗风延播子孙,对姚培谦之人生观、学术观、文学观之形成皆有影响。