基于内隐测量的APP交互流程可用性评估方法

目的 研究内隐测量用于交互流程评估的普遍方法，选取适合的参考指标建立评估标准，旨在提出一套完整且通用的评估策略。方法 以带有拍摄功能的宠物社交类APP为载体，提出两种不同的交互流程，建立交互原型，并提取两套原型中差异较大的流程进行对比实验，采用眼动仪收集被测的无意识行为，依据首次注视时间、兴趣区域注视率，注视点图等指标分析实验数据，并与外显测量结果相结合，衡量用户操作情况以及APP的交互性能。结果 根据实验和数据分析，得出以拍摄界面为主页是更适合宠物社交APP的交互方式。结论 内隐测量评估作为一种新兴的产品可用性评估方式，不仅在交互界面设计评估上得到了广泛的应用，还可作为产品交互流程的评估方法，并具有深度挖掘的意义。     

基于Android系统的天气预报APP设计

移动互联时代,随着移动设备的快速发展,手机用户数量不断增加,用户对APP软件的需求也在不断增加。Android是目前智能手机等设备常用的一种操作系统,该系统灵活友好的操作界面深受用户喜爱。本APP项目的主要目的是打造一款基于Android的方便快捷、功能完善的手机天气预报系统。     

基于STM32的在应用编程（IAP）开发

针对嵌入式终端设备程序升级困难的问题,设计了一种基于STM32的远程升级方案.该方案系统深入地研究了Ymodem协议的通信流程,以及基于STM32的在应用编程(IAP)的技术原理和关键技术的实现,关键技术包括程序起始位置和中断向量表设置、APP程序区flash擦除、APP程序写入flash、IAP跳转到APP程序等4个部分,利用RS232标准串口实现了上位机与嵌入式终端设备之间基于Ymodem协议的通信,即嵌入式终端设备的远程在线即时更新功能,实际应用表明,该方案具有良好的应用价值和推广价值.     

基于混沌粒子群算法的医学图像增强

经典的模糊增强算法在应用于医学图像时,由于在采集或者传输图像时,外部的干扰较多,图像较大几率会不够清晰,该算法的的控制参数是由手动调整控制的,效率和增强效果较差,无法达到最优。由于粒子群算法存在调整参数少,全局寻优的能力,本文将混沌粒子群算法和模糊增强算法结合,运用混沌粒子群算法对模糊增强的增强参数进行优化,仿真实验证实,对于优化后的混沌粒子群算法,可以使模糊的医学图像的清晰率提高95%以上,同时可以突出某些特征,有效地改善了医学图像的视觉效果。     

煤矿安全生产管理体系智能化研究

研究煤矿安全生产管理体系及智能化,从源头上科学地控制安全隐患,是煤矿企业可持续性发展的重要基础之一。基于以实现矿井生产"零伤亡"安全生产为目标,初步构建起"人-机-环-管"安全管理体系。通过移动互联和电子签名技术,实现安全管控风险管理智能化;基于权限控制和定位技术,实现作业风险全程监控管理智能化;通过电脑端系统和移动端APP实现培训管理智能化;通过移动APP、设备实时监视系统实现设备安全管理智能化;基于物联网技术,通过系统及信息整合,实现安全风险报警系统智能化和隐患排查智能化管理;通过移动终端,实现安全标准化管理智能化和安全数据动态管理智能化。     

聚硅氧烷表面改性聚磷酸铵的制备及阻燃应用

以正硅酸乙酯(TEOS)及3-氨基丙基三乙氧基硅烷(ATOS)为原料,采用溶胶-凝胶法对聚磷酸铵(APP)进行了表面改性并用于阻燃环氧树脂。结果表明:TEOS及ATOS通过水解、聚合反应在改性APP(MAPP)表面生成了一层致密且类似荷叶表面微-纳米结构的聚硅氧烷膜,MAPP的溶解度由0.62降低为0.18 g/100 m L水,疏水性及耐水性明显增强。     

4A分子筛对EVA/APP/PETA复合材料阻燃性能的影响

以聚磷酸铵(APP)和聚对苯二甲酰乙二胺(PETA)复配制备了无卤阻燃乙烯-醋酸乙烯共聚物(EVA)/膨胀型阻燃体系(IFR)复合材料,通过极限氧指数仪、热失重分析仪(TG)和扫描电镜(SEM)分析了4A分子筛对复合材料的阻燃性能、热稳定性能和复合材料残炭表面形貌的影响。结果表明,当4A分子筛添加量为2%时,复合材料的极限氧指数达39%,比未添加4A分子筛的提高了4%,垂直燃烧达到V-0级。SEM表明,4A分子筛的加入提高了样品残炭表面致密度。     

Control of droplet transfer in consumable electrode welding with short circuiting of the arcing gap

We present the results of an experimental programme of fatigue tests carried out on two types of butt joints with thicknesses of 20 and 40 mm respectively, characterized by a significant gap between weld edges, not compliant with the requirements of construction specifications. The tests were conducted on specimens taken from the weld beads of joints typical of those produced at the site (butt joints between web and flanges) and made with the same procedures (welding process, welding position, welding filler, etc.). The test results were elaborated statistically to determine the fatigue resistance category in accordance with the requirements of standard EN 1993-1-9 and IIW recommendations. Calculations took into account both the thickness of the specimens (tests were carried out on both to-scale and true-thickness specimens for the purposes of validation) and also flexural stress components induced by the non-planarity of the specimens.     

Next-generation tools for evolutionary invasion analyses

Evolutionary invasion analysis is a powerful technique for modelling in evolutionary biology. The general approach is to derive an expression for the growth rate of a mutant allele encoding some novel phenotype, and then to use this expression to predict long-term evolutionary outcomes. Mathematically, such ‘invasion fitness’ expressions are most often derived using standard linear stability analyses from dynamical systems theory. Interestingly, there is a mathematically equivalent approach to such stability analyses that is often employed in mathematical epidemiology, and that is based on so-called ‘next-generation’ matrices. Although this next-generation matrix approach has sometimes also been used in evolutionary invasion analyses, it is not yet common in this area despite the fact that it can sometimes greatly simplify calculations. The aim of this article is to bring the approach to a wider evolutionary audience in two ways. First, we review the next-generation matrix approach and provide a novel, and easily intuited, interpretation of how this approach relates to more standard techniques. Second, we illustrate next-generation methods in evolutionary invasion analysis through a series of informative examples. Although focusing primarily on evolutionary invasion analysis, we provide several insights that apply to biological modelling in general.     

Analysis of a complete DNA–protein affinity landscape

Properties of biological fitness landscapes are of interest to a wide sector of the life sciences, from ecology to genetics to synthetic biology. For biomolecular fitness landscapes, the information we currently possess comes primarily from two sources: sparse samples obtained from directed evolution experiments; and more fine-grained but less authentic information from ‘in silico’ models (such as NK-landscapes). Here we present the entire protein-binding profile of all variants of a nucleic acid oligomer 10 bases in length, which we have obtained experimentally by a series of highly parallel on-chip assays. The resulting complete landscape of sequence-binding pairs, comprising more than one million binding measurements in duplicate, has been analysed statistically using a number of metrics commonly applied to synthetic landscapes. These metrics show that the landscape is rugged, with many local optima, and that this arises from a combination of experimental variation and the natural structural properties of the oligonucleotides.