高层医院建筑设计探讨——厦门第一医院病房楼

本文通过设计实践探讨了高层医院建筑的相关问题。     

面向软件动态演化的需求建模及其模型规范化

针对目前需求工程阶段对软件动态演化考虑不足的现状,在分析软件动态演化面临的挑战的基础上,设计了面向动态演化的需求元模型(dynamic-evolution-orientedrequi rements meta-model,DERM)。该元模型以特征为基本部件,按特征组合的方式建立需求模型,需求模型由行为特征和属性特征组成。行为特征被区分为计算行为特征和交互行为特征,以实现计算和交互的相对隔离;属性特征通过其作用域,指定其在行为特征模型中的作用范围,从而将行为特征模型和属性特征模型统一为需求模型。在此基础上,讨论了需求模型的参照完整性、依赖一致性和互斥一致性,并进一步把需求模型规范化为需求模型第一范式到第三范式,需求模型规范化的过程提供了一种保证需求模型一致性的方法。最后通过案例研究,表明了该方法的可行性及其对软件动态演化的有效支持。     

基于激光多普勒测速法的2×106m/s2高冲击校准技术

在高冲击传感器动态性能校准中,实现高量程、宽脉冲激励是目前高冲击校准急需解决的问题。采用速度改变法校准原理,以气炮为激励源,利用激光多普勒测速方法测量砧体运动速度,建立高冲击校准系统。分析碰撞系统的作用原理,提出调整和控制激励脉宽的方法;分析测速误差,提出双光束差动侧向测速方法。实验结果表明:高冲击校准系统校准量程为2×106m/s2,激励脉宽在2×106m/s2时大于100μs,校准冲击灵敏度的扩展不确定度小于5%(k=2)。     

A Data Security Framework for Cloud Computing Services

Cyberattacks are difficult to prevent because the targeted companies and organizations are often relying on new and fundamentally insecure cloud-based technologies, such as the Internet of Things. With increasing industry adoption and migration of traditional computing services to the cloud, one of the main challenges in cybersecurity is to provide mechanisms to secure these technologies. This work proposes a Data Security Framework for cloud computing services (CCS) that evaluates and improves CCS data security from a software engineering perspective by evaluating the levels of security within the cloud computing paradigm using engineering methods and techniques applied to CCS. This framework is developed by means of a methodology based on a heuristic theory that incorporates knowledge generated by existing works as well as the experience of their implementation. The paper presents the design details of the framework, which consists of three stages: identification of data security requirements, management of data security risks and evaluation of data security performance in CCS.     

浅谈居住小区网络及信息服务安全系统的质量控制

居住小区网络及信息服务安全系统是各种控制设备、传感器及执行装置联结在一起,通过现场总线、以太网或宽带接入网实现实时的信息交互、管理和控制。本文阐述了居住小区网络及信息服务安全系统的质量控制,以达到保障工程质量,提高服务质量的目的。     

D-2-DenseNet噪音鲁棒的城市音频分类模型

为了提高噪音环境下城市音频分类系统的鲁棒性,提出了一种双特征2阶密集卷积神经网络（D-2-DenseNet）噪音鲁棒的城市音频分类模型.首先介绍了噪音添加和噪音鲁棒处理,阐述了一种双特征互补偿的算法;然后结合2阶密集卷积神经网络与自适应机制提出了一种噪音鲁棒音频分类模型：双特征2阶密集卷积神经网络.模型采用双特征互补偿自适应算法,可在特征提取与模型训练中更有针对性地提取有效音频信息,降低噪音干扰,以提高噪音鲁棒性.最后,基于Dcase2016数据集开展噪音环境下城市音频分类测试.实验结果表明,模型分类准确率分别可达77.12%、75.52%,与基线模型相比,平均分类准确率分别提高了8.51%和10.38%,验证了模型良好的噪音鲁棒性.     

商榷用水煤浆代替轻油改造年产30万吨合成氨

介绍用水煤浆代替轻油原料，改造年产３０万吨合成氨装置，重点论述其制氨工艺单元的合理组合和国产化措施。     

Use of ANP weighted crisp and fuzzy QFD for product development

Quality Function Deployment (QFD) is a popular planning method often used to transform customer demands/requirements into the technical characteristics of a new or improved product or service. In order to better capture (and represent) the multifarious relationships between customer requirements and technical characteristics, and the relative weights among customer requirements, in this study a hybrid analytic network process (ANP)-weighted fuzzy methodology is proposed. The goal is to synthesize renowned capabilities of ANP and fuzzy logic to better rank technical characteristics of a product (or a service) while implementing QFD. To demonstrate the viability of the proposed methodology a real-world scenario, where a new equipment to squeeze the polyethylene pipes to stop the gas flow without damaging the pipes, is developed. The ranking of technical characteristics of the product is calculated using both crisp and fuzzy weights for illustration and comparison purposes.     

糖蜜酒精废液OD值测定条件的确定

糖蜜酒精废液光密度的测定没有统一的方法,通过正交试验和单因素试验,对糖蜜酒精废液的光密度(OD)值的测定条件进行了研究。结果表明在波长为400nm和自然pH值的测定条件下,OD值最大,稀释度为20倍时光密度值落在最佳读数范围内。     

面板堆石坝垫层渡汛离心模型试验研究

西北口水库大坝是我国建设的第一座百米级钢筋混凝土面板堆石坝,其百年一遇洪水渡汛水位降落幅度21.63 m,水位骤降速度最大可达3.65 m/h。面板尚未浇筑前的堆石坝体需临时拦洪渡汛,坝体垫层既起面板垫层作用,还要保证堆石坝体安全渡汛,水位骤降对垫层将产生拖拽力作用,影响到垫层的稳定性。本文通过面板堆石坝垫层渡汛离心模型试验,对不同渗透性垫层安全渡汛进行了试验研究,试验研究成果被西北口面板堆石坝工程施工期安全渡汛设计采纳,为面板坝工程建设特别是施工期安全渡汛提供了技术支撑。