大规模生物网络马尔可夫聚类的并行化算法

马尔可夫聚类算法（MCL）是在大规模生物网络中寻找模块的一个有效方法，能够挖掘网络结构和功能影响力较大的模块。算法涉及到大规模矩阵计算，因此复杂度可达立方阶次。针对复杂度高的问题，提出了基于消息传递接口（MPI）的并行化马尔可夫聚类算法以提高算法的计算性能。首先，生物网络转化成邻接矩阵；然后，根据算法的特性，按照矩阵的规模判断并重新生成新矩阵以处理非平方倍数矩阵的计算；其次，并行计算通过按块分配的方式能够有效地实现任意规模矩阵的运算；最后，循环并行计算直至收敛，得到网络聚类结果。通过模拟网络和真实生物网络数据集的实验结果表明，与全块集体式通信（FCC）并行方法相比，平均并行效率提升了10个百分点以上，因此可以将该优化算法应用在不同类型的大规模生物网络中。     

基于消息队列的通信系统异步传送控制仿真

传统方法对通信系统异步传送控制效果不佳,存在信号干扰及传送时间间隔较长等问题。为此引入消息队列技术,提出一种新的传送控制方法来解决以上问题。对通信系统的空时信道进行空时编码设计,实现空时信道的编码增益与分集增益;利用空时编码实现通信系统中继节点的空间分集,根据空间分集结果制订异步空时传送方案;采用消息队列技术构建通信系统异步传送控制模型,实现通信系统的异步传送控制。为了验证所提方法异步传送控制效果,设计对比实验。实验结果表明,上述方法的传送时间间隔较短,抗干扰能力强,平均分集增益高,说明所提方法更适用于通信系统的异步传送控制。     

矿用排沙潜水泵过流部件水力设计

依据两相流理论和无过载设计原理,提出排沙潜水泵过流部件水力设计,强调了叶轮进口和出口叶片、叶片数、叶轮外径和泵体喉部面积等主要参数的选取,并给出了相应的参考值。     

车辆曲线通过动力特性探讨

根据蠕滑理论,对车辆曲线通过的动力特性进行了分析,得出了车辆曲线通过时,横向的动力特性主要受离心力影响的结论,指出通过合理的超高设置来充分发挥离心力的作用,从而保证车辆曲线通过的安全性。     

知行交会学之大成——太仓国际科教园概念规划方案

以科教园与城市的关系为整个设计的出发点，强调在城市范围内以及不同学科领域之间对于教育资源的重组与开发利用。该文介绍了此次设计的规划概念与特色，力图体现知识经济时代的教育发展趋向。     

软件工程在电梯控制系统中的实现方法

将软件工程的方法应用到电梯控制系统中．使电梯控制系统具备可观察性．可控制性和可测试性，从而提高电梯控制系统的稳定性和可靠性。     

长输煤气管道大开挖穿越河流的施工

介绍了输气管道以大开挖方式穿越河流的施工，探讨了降水计算和施工注意事项。     

新建隧道下穿运营公路引起的路面沉降控制基准

针对如何合理制定隧道建设引起的路面沉降控制基准的难题,以行车舒适性控制标准为出发点,同时考虑既有公路的不平整度和隧道建设引起的路面沉降槽形态特征,基于理论推导提出了一个较完整的解决方案. 首先,选择行车竖直方向上振动加速度为舒适性指标;其次,采用理想正弦函数加以刻画公路路面纵断面曲线,通过求导得到行车竖直方向振动加速度与既有公路的纵断面曲线特征参数的关系;再次,用Peck公式描述隧道建设引起的路面沉降槽形态特征,通过求导得到行车竖直方向上振动加速度与沉降槽形态参数的关系;然后,根据叠加原理可得到行车最大竖直方向上振动加速度的计算公式,该公式考虑了既有公路的不平整度和隧道建设引起的路面沉降的影响;最后,基于加速度值与人体主观感觉的关系,提出了路面沉降控制基准确定公式. 结果表明:行车舒适性与既有公路纵断面曲线的波长成正比,与振幅成反比;行车舒适性与路面沉降槽宽度系数成正比,与隧道中心线处路面最大沉降值成反比;行车舒适性与行车速度的平方成反比例. 通过适当降低行车速度是放宽沉降控制基准的有效方法.     

Individual differences in drivers’ cognitive processing of road safety messages

Using Gray and McNaughton's (2000) revised reinforcement sensitivity theory (r-RST), we examined the influence of personality on processing of words presented in gain-framed and loss-framed anti-speeding messages and how the processing biases associated with personality influenced message acceptance. The r-RST predicts that the nervous system regulates personality and that behaviour is dependent upon the activation of the behavioural activation system (BAS), activated by reward cues and the fight-flight-freeze system (FFFS), activated by punishment cues. According to r-RST, individuals differ in the sensitivities of their BAS and FFFS (i.e., weak to strong), which in turn leads to stable patterns of behaviour in the presence of rewards and punishments, respectively. It was hypothesised that individual differences in personality (i.e., strength of the BAS and the FFFS) would influence the degree of both message processing (as measured by reaction time to previously viewed message words) and message acceptance (measured three ways by perceived message effectiveness, behavioural intentions, and attitudes). Specifically, it was anticipated that, individuals with a stronger BAS would process the words presented in the gain-frame messages faster than those with a weaker BAS and individuals with a stronger FFFS would process the words presented in the loss-frame messages faster than those with a weaker FFFS. Further, it was expected that greater processing (faster reaction times) would be associated with greater acceptance for that message. Driver licence holding students (N = 108) were recruited to view one of four anti-speeding messages (i.e., social gain-frame, social loss-frame, physical gain-frame, and physical loss-frame). A computerised lexical decision task assessed participants’ subsequent reaction times to message words, as an indicator of the extent of processing of the previously viewed message. Self-report measures assessed personality and the three message acceptance measures. As predicted, the degree of initial processing of the content of the social gain-framed message mediated the relationship between the reward sensitive trait and message effectiveness. Initial processing of the physical loss-framed message partially mediated the relationship between the punishment sensitive trait and both message effectiveness and behavioural intention ratings. These results show that reward sensitivity and punishment sensitivity traits influence cognitive processing of gain-framed and loss-framed message content, respectively, and subsequently, message effectiveness and behavioural intention ratings. Specifically, a range of road safety messages (i.e., gain-frame and loss-frame messages) could be designed which align with the processing biases associated with personality and which would target those individuals who are sensitive to rewards and those who are sensitive to punishments.     

A review of digital twin in product design and development

In the era of digitalization, there are many emerging technologies, such as the Internet of Things (IoT), Digital Twin (DT), Cloud Computing and Artificial Intelligence (AI), which are quickly developped and used in product design and development. Among those technologies, DT is one promising technology which has been widely used in different industries, especially manufacturing, to monitor the performance, optimize the progresses, simulate the results and predict the potential errors. DT also plays various roles within the whole product lifecycle from design, manufacturing, delivery, use and end-of-life. With the growing demands of individualized products and implementation of Industry 4.0, DT can provide an effective solution for future product design, development and innovation. This paper aims to figure out the current states of DT research focusing on product design and development through summarizing typical industrial cases. Challenges and potential applications of DT in product design and development are also discussed to inspire future studies.