Pulsatile Flow in Microfluidic Systems

This review describes the current knowledge and applications of pulsatile flow in microfluidic systems. Elements of fluid dynamics at low Reynolds number are first described in the context of pulsatile flow. Then the practical applications in microfluidic processes are presented: the methods to generate a pulsatile flow, the generation of emulsion droplets through harmonic flow rate perturbation, the applications in mixing and particle separation, and the benefits of pulsatile flow for clog mitigation. The second part of the review is devoted to pulsatile flow in biological applications. Pulsatile flows can be used for mimicking physiological systems, to alter or enhance cell cultures, and for bioassay automation. Pulsatile flows offer unique advantages over a steady flow, especially in microfluidic systems, but also require some new physical insights and more rigorous investigation to fully benefit future applications.     

Automated Buildup of Biomimetic Films in Cell Culture Microplates for High‐Throughput Screening of Cellular Behaviors

An automatic method is established for layer‐by‐layer (LbL) assembly of biomimetic coatings in cell culture microplates using a commercial liquid‐handling robot. Highly homogeneous thin films are formed at the bottom of each microwell. The LbL film‐coated microplates are compatible with common cellular assays, using microplate readers and automated microscopes. Cellular adhesion is screened on crosslinked and peptide‐functionalized LbL films and stem cell differentiation in response to increasing doses of bone morphogenetic proteins (2, 4, 7, 9). This method paves the way for future applications of LbL films in cell‐based assays for regenerative medicine and high‐throughput drug screening.     

Towards a standardised information exchange within finished vehicle logistics based on RFID and EPCIS

Finished vehicle logistics is facing different challenges. In order to cope with these challenges this article presents a case study, analysing a concept to improve finished vehicle logistics using radio frequency identification (RFID)-based and electronic product code information services (EPCIS). Within this case study, vehicles were identified automatically by RFID. For sharing, the information generated by RFID the EPCIS-based InfoBroker was developed according to the needs of the automotive industry. By having data available through the InfoBroker, decision support systems (DSS) can make planning and control of finished vehicle logistics decisions more efficiently. The case study was executed within two finished vehicle logistics cases. Based on this article practitioners can estimate the potentials of RFID and EPCIS for finished vehicle logistics. Based on the data made accessible by the presented concept practitioners and researches can develop innovative DSS to improve finished vehicle logistics     

Advanced control in factory automation: a survey

This paper provides a survey of the main advanced control techniques currently adopted in factory automation. In particular, it focuses on five classes of control approaches, namely: model-based control, control based on computational intelligence, adaptive control, discrete event systems-based control and finally event-triggered and self-triggered control. A particular focus is put on the most significant and recent contributions in these areas with attention to their application in the factory automation domain. Finally, open issues, challenges and the requirements of further research efforts for each class are pointed out.     

Examination of trust and sustainability concerns in autonomous vehicle adoption

The latest developments regarding autonomous vehicles (AVs) have drawn the attention of tech-savvy individuals and marketers. AVs are expected to cause a major change in the markets of vehicle selling, transportation and logistics. Therefore, it is crucial to understand consumer acceptance so that the companies in these markets can develop their penetration strategies accordingly and technology companies can shape their technology development strategies. This study aims to examine individuals' adoption attitudes toward AVs by considering trust and sustainability concerns. This was achieved by expanding the technology acceptance model (TAM). A survey of 391 participants was conducted and the data were analyzed using structural equation modeling (SEM). The results confirmed previous technology acceptance models by showing the relationships between perceived usefulness, perceived ease of use, and behavioral intention. Moreover, the direct and indirect effects of trust on behavioral intention were also shown. This study provides evidence to extend the TAM to the adoption of AVs by uncovering individuals’ sustainability concerns.     

基于中型水果的自动分级包装一体机设备的设计

目的 为解决现有分级包装设备存在劳动强度大、效率低、易损伤果皮等问题,设计一种基于自动化水果筛选分级包装一体机。方法 将水果通过上料装置输送到果杯中,通过齿轮齿条的配合实现水果的360°旋转,筛选后通过特制的冲模分流装置进行一次分流,进入包装机后利用45DF型凸轮分割器搭配电机带动棘轮实现水果的二次单个分流,利用发泡型塑料网的物理特性,通过凸轮的急回特性来实现单个水果包装自动化。结果 基于机械原理和机械设计,对关键部件进行计算设计和仿真设计,得到传送盘与地面的安装角度为3°,传送盘工作时最大变形量为0.503 69 mm,棘轮工作时最大变形为5.763 9×10⁻⁵ mm,最大应变为4.799×10⁻⁷,最大应力为9.56×10⁻⁴ N,满足使用要求。结论 通过实现分级包装一体机的自动化,减少了劳动力,降低了人工成本,提高了经济效益。     

W型火焰燃煤锅炉主蒸汽压力调节系统设计与调试

从机炉协调控制的角度出发,以一个实际的工程为例,分析了电功率的变化和汽轮机调门扰动对主汽压控制系统的影响,介绍了ＤＥＢ直接能量平衡控制系统的实际应用。实践表明,深刻理解单元机组汽压被控对象的动态特性,对单元机组协调控制系统的设计和分析是十分有益的。     

一种新型变电站综合自动化系统方案

采用面向对象的设计思想,提出了一种新型的变电站综合自动化系统结构。同时,本文还提出了以继电保护为核心,以变电站二次系统为整体优化目标的变电站综合自动化系统设计思想。着重以２２０ｋＶ变电站为例,设计出贯彻该思想的变电站综合自动化系统方案。     

A novel architecture: Using convolutional neural networks for Kansei attributes automatic evaluation and labeling

Kansei evaluation is crucial to the process of Kansei engineering. However, traditional methods are subjective and random. In order to eliminate the differences of individual evaluation criteria in product Kansei attributes evaluation, and further improve the evaluation efficiency, a novel automatic evaluation and labeling architecture for product Kansei attributes was proposed in this paper based on Convolutional Neural Networks (CNNs). The architecture consists of two modules: (1) Target detection module (Faster R-CNN was taken as an example), (2) Fine-Grained classification module (DFL-CNN was taken as an example). A case study was provided to validate the proposed architecture. The proposed architecture transformed design evaluation tasks into the recognition and classification tasks. The experiments achieved 98.837%, 96.899%, 86.047%, and 81.008% accuracy in the binary, triple, and two five-classification tasks, respectively. Our results proved the feasibility of using computer vision to mimic human vision for the automatic evaluation of Kansei attributes.     

空域数据主动管理模式研究与实践

近年来大型机场投运、跑道改、扩建等引发的大范围空域调整逐渐增多,空域数据更新频率明显增加,亟待对现有办公机制进行优化。提出一种主动式管理方案,从组织模式、平台构建两方面入手进行研究,本文以华北地区空域管理为例进行研究与实践。