高效节能双组份注塑系统及设备开发

对双组份注塑成型机的工艺特点以及国内现有机型不足的分析基础上,进行了高效节能双组份主注射系统和副 注射系统的设计,开发出新型的双组份注射前模板转盘装置,在满足普通双组份注射制品要求的同时,解决了制品浇冒 口暴露在外部的缺陷;计算了注塑系统的功率和能耗,工作性能稳定、效率高,控制系统先进,具有明显的节能优势,整机 性价比高,满足分清双色或云彩混双色的两种组份塑件制品成型的要求。     

基于PLC控制的多方位自动刷鞋机

为了实现多方位刷鞋的功能,设计一款刷鞋机,主要对其刷鞋部分的机构进行了创新型设计。利用皮带轮机构 和凸轮机构传动带动毛刷运动,多方位清洗鞋子的内部和外表面,达到刷洗鞋子的目的。整个洗刷过程采用三菱PLC 自动控制。该设计结构巧妙,成本低,体积小,工作稳定,性能可靠,效果良好。     

注塑机料筒加热节能技术

料筒加热系统是注塑机上主要耗电系统之一,行业中推出的多种节能技术方案受利益格局的影响存在误导行业 和用户的现象。针对这一局面,从节能效果、使用可靠性、安装维护方便性及性价比等要素入手,对目前行业主推的电磁 加热、红外加热、节能环3大料筒加热节能技术方案进行了应用、研究和比较,节能环技术方案具有简单有效、局限性少、 故障率低、成本低等优点,是适合注塑机生产工况要求的最佳加热节能技术方案。     

Prediction intervals for farima processes by bootstrap methods

In this paper we introduce a procedure to compute prediction intervals for FARIMA (p d q) processes, taking into account the variability due to model identification and parameter estimation. To this aim, a particular bootstrap technique is developed. The performance of the prediction intervals is then assessed and compared to that of stand­ard bootstrap percentile intervals. The methods are applied to the time series of Nile River annual minima.     

Machine Learning Vasicek Model Calibration with Gaussian Processes

In this article, we calibrate the Vasicek interest rate model under the risk neutral measure by learning the model parameters using Gaussian processes for machine learning regression. The calibration is done by maximizing the likelihood of zero coupon bond log prices, using mean and covariance functions computed analytically, as well as likelihood derivatives with respect to the parameters. The maximization method used is the conjugate gradients. The only prices needed for calibration are zero coupon bond prices and the parameters are directly obtained in the arbitrage free risk neutral measure.     

Using machine learning to identify early predictors of adolescent emotion regulation development

As 20% of adolescents develop emotion regulation difficulties, it is important to identify important early predictors thereof. Using the machine learning algorithm SEM-forests, we ranked the importance of (87) candidate variables assessed at age 13 in predicting quadratic latent trajectory models of emotion regulation development from age 14 to 18. Participants were 497 Dutch families. Results indicated that the most important predictors were individual differences (e.g., in personality), aspects of relationship quality and conflict behaviors with parents and peers, and internalizing and externalizing problems. Relatively less important were demographics, bullying, delinquency, substance use, and specific parenting practices—although negative parenting practices ranked higher than positive ones. We discuss implications for theory and interventions, and present an open source risk assessment tool, ERRATA.     

模具钢干铣削试验及参数优化研究

为了对铣削力做进一步的研究,以及预测铣削参数的改变对铣削力变化的影响,文章建立了铣削力预测模型,引 入了PSO优化算法。试验采用正交设计方法,干式铣削SKD61模具钢;KISTLER测力仪测量铣削力;HRsoft_DW数采软 件采集试验数据,并对数据进行极差分析。研究结果表明每齿进给量是铣削参数中影响铣削力最为主要的因素。研究 验证了PSO算法对铣削参数优化问题具有有效性。     

Response-adaptive trial designs with accelerated Thompson sampling

In a clinical trial, sometimes it is desirable to allocate as many patients as possible to the best treatment, in particular, when a trial for a rare disease may contain a considerable portion of the whole target population. The Gittins index rule is a powerful tool for sequentially allocating patients to the best treatment based on the responses of patients already treated. However, its application in clinical trials is limited due to technical complexity and lack of randomness. Thompson sampling is an appealing approach, since it makes a compromise between optimal treatment allocation and randomness with some desirable optimal properties in the machine learning context. However, in clinical trial settings, multiple simulation studies have shown disappointing results with Thompson samplers. We consider how to improve short-run performance of Thompson sampling and propose a novel acceleration approach. This approach can also be applied to situations when patients can only be allocated by batch and is very easy to implement without using complex algorithms. A simulation study showed that this approach could improve the performance of Thompson sampling in terms of average total response rate. An application to a redesign of a preference trial to maximize patient's satisfaction is also presented.     

熔模铸造技术专利申请状况分析

本文对熔模铸造专利从中国专利申请量分布、申请人分布、技术发展特点等方面进行了检索、统计分析,以帮助我国企业了解现有熔模铸造技术水平、研发动向等,为制定相关研发策略以及相应的专利策略提供参考。