水泥窑喷煤管用浇注料的试验研究

以电熔尖晶石、白刚玉、板刚玉、硅灰951、拉法基水泥S71为基本原料,在基础配方的基础上,通过调整电熔尖晶石、拉法基水泥S71的加入量制备水泥窑喷煤管用浇注料,对该浇注料进行了线变化率、体积密度、强度、抗热震等性能测定。试验结果表明:较适宜用作浇注料的配料组成为电熔尖晶石70%,硅灰0.5%,白刚玉17.5%,拉法基水泥7%,1 400℃时其抗压强度为203.31MPa,抗热震性能其强度保持率为61.26%。     

贴管机关键技术及其发展趋势

随着包装行业的发展,市场对高性能贴管技术的需求日益增加.通过对国内贴管机的专利检索和产品市场调研,发现其技术水平不高,已难以满足市场需求.分析了贴管机的行业应用概况,并结合其构成及技术特点,对贴管机的关键技术和发展趋势做了详细论述.     

制砖机液压系统中脱模增速缸设计

为了满足制砖机液压系统中脱模缸既要有大的瞬间推力又要有较大的工进速度和回程速度的要求,设计了一种子母型液压增速缸。文章给出了结构设计和主要参数确定的全过程,并对其进行了压杆稳定校核。经生产实践表明,该脱模增速缸运行平稳、可靠,提高了脱模质量和生产效率,达到了设计要求。     

《通用机床的检修与维护》的教学做一体化

阐述了《通用机床的检修与维护》课程实施＂教学做一体化＂教学的必要性,列举了实施＂教学做一体化＂教学的几种具体过程,并提出了确保＂教学做一体化＂教学质量的保证体系。     

基于遗传支持向量机的生物质发电气化研究

提出了一种基于遗传算法和支持向量机的生物质气化过程研究的新方法。采用竹子气化数据建立GA-LS-SVM模型,并验证该模型方法在生物质气化过程建模中的适用性。GA-LS-SVM模型预测方法精度较高,效果也比较理想,是一种可行有效的建模方法。     

机器修裱技术应用与实践

档案修复工作是一项针对档案实体开展的抢救性保护工作,操作方法不妥时会对档案造成直接的破坏。机器修裱技术发展的时间不长,机器修裱档案还没有统一的规范和要求,各单位在开展机器修裱工作过程中,还存在一些问题,需要认真研究和总结。本文根据中国第二历史档案馆开展机器修裱档案的情况,总结了机器修裱档案工作的流程,指出了机器修裱档案工作中常见的问题,并针对这些问题提出了解决的办法。     

Accelerometry-Based Characteristics of Overall Sedentary Behavior and Sitting in Middle-Aged Adults

ABSTRACT

The purpose of this study was to describe the accelerometry-based characteristics of overall sedentary behavior (SB) and sitting among adults under free-living conditions. Thirty-six (mean age 47.6 years) volunteers carried a waist-worn accelerometer for ≥4 days with data ≥600 min/d during 14 consecutive days. A machine learning (ML) based method was used to classify the patterns of SB and sitting from raw 3D acceleration. The participants spent most (69.3%) of their waking time in SB, and a half (52.2%) of the SB was performed in a sitting posture. Men broke their overall sedentary time less often (4.1 vs. 6.1 bouts/h), but women sat more; however, women broke their sitting time as often as men (7.6 bouts/h). This study confirms that SB and sitting can be distinguished using ML methods, and more information about SB can be achieved when overall SB and sitting are analyzed separately in free-living conditions.     

硬盘保护卡和虚拟机共用在医学信息实验室软件管理中的应用

本文在比较了硬盘保护卡和虚拟机在机房软件管理中优缺点的基础上,针对我院的实际情况,提出了综合并举这两种方法的机房软件管理及维护模式,并同时建立了一个科学有效的管理原则,对于相似特点的机房,具有一定的可借鉴性。     

Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques

Abstract

This article describes the utilisation of an unsupervised machine learning technique and statistical approaches (e.g., the Kolmogorov-Smirnov test) that assist cycling experts in the crucial decision-making processes for athlete selection, training, and strategic planning in the track cycling Omnium. The Omnium is a multi-event competition that will be included in the summer Olympic Games for the first time in 2012. Presently, selectors and cycling coaches make decisions based on experience and intuition. They rarely have access to objective data. We analysed both the old five-event (first raced internationally in 2007) and new six-event (first raced internationally in 2011) Omniums and found that the addition of the elimination race component to the Omnium has, contrary to expectations, not favoured track endurance riders. We analysed the Omnium data and also determined the inter-relationships between different individual events as well as between those events and the final standings of riders. In further analysis, we found that there is no maximum ranking (poorest performance) in each individual event that riders can afford whilst still winning a medal. We also found the required times for riders to finish the timed components that are necessary for medal winning. The results of this study consider the scoring system of the Omnium and inform decision-making toward successful participation in future major Omnium competitions.     

一种基于核聚类的模糊支持向量机方法

模糊支持向量机（FSVM）具有很好的抗噪声能力,受到了很多专家的重视。然而模糊支持向量机算法的时间复杂度通常较高。针对这一不足,本文提出了一种基于核聚类的模糊支持向量机算法。首先根据核聚类算法对每一类原始样本进行聚类,然后对每一簇求样本中心,用样本中心作为新的样本点替换该类别的原始样本。最后本文算法利用中心距离型计算新样本的模糊权重,并利用模糊支持向量机算法进行求解。实验充分验证了本文算法相对于传统模糊支持向量机方法具有更快的分类速度。