液体流量计在线检测装置不确定度分析

液体流量计在线检测装置是由重庆市计量质量检测研究院研制出来的,主要用于现场检测关口水表、大口径流量计等用于贸易结算的流量计量器具。该装置克服了传统检测方法的不足、可操作性差的缺点,解决了关口水表不能现场进行检测的问题,具有实用性。该装置的建立满足了社会各企、事业单位的需要,并为政府计量管理和计量监督提供了科学依据。     

轨道交通站台安全门控制系统

轨道交通站台安全门作为公共安全防护设备,广泛应用在地铁、轻轨等轨道交通中的高架和地面站台上,具有节能、环保和安全功能。因此它在设计、制造、安装过程中需要充分考虑其自身的可靠性及乘客安全、行车安全。本文将对安全门系统的网络、控制及软件三方面进行详细论述。     

大红山铜矿原矿输送控制系统改造

通过分析大红山铜矿原矿输送系统实施改造的必要性,阐述了ABB数字式直流调速装置和西门子PLC在原矿输送生产线控制系统中的应用。生产实践证明,该系统投运后稳定可靠,使输送能力有很大提高,获得了显著的经济效益。     

Observed finger behaviour during computer mouse use

Two-button computer mouse users may exhibit sustained, static finger lifting behaviours to prevent inadvertent activations by avoiding finger pressure on the buttons, which leads to prolonged, static finger extensor muscle loading. One hundred graduate students were observed during normal computer work in a university computer facility to qualify and quantify the prevalence of lifted finger behaviours and extended finger postures, as well as wrist/forearm and grip behaviour, during specific mouse activities. The highest prevalences observed were 48% of the students lifted their middle finger during mouse drag activities, and 23% extended their middle finger while moving the mouse. In addition, 98% of the students rested their wrist and forearm (77%) or wrist only (21%) on the workstation surface, and 97% had an extended wrist posture (15 degrees -30 degrees ) when using the mouse. Potential applications of these findings include future computer input device designs to reduce finger lifting behaviour and exposures to risk factors of hand/forearm musculoskeletal pain.     

一种新结构的DM-multipath与动态负载平衡

对于存储设备,Linux 在多路径 I/O方面主要有两种类型的解决方案：位于I/O调度器之上的顶层方案(BIO映射器)和位于底层的子系统具体方案(如IDE,SCSI)。因为实施它们的所在存储堆栈中的位置不同,每种方案各有优势。通过与第一种方案比较,介绍具体硬件子系统之上的另一种解决方案,新结构中重点实现移动内核当前多路径层——多路径设备映射器 (dm-multipath)到I/O调度层之下,这种方案能够有效地支持动态的负载平衡。     

基于xPC目标的实时I／O接口技术研究

使用xPC目标可以将一台PC兼容机制转变为一个实时系统,来实现控制系统的快速原型化、硬件在回路中的测试,与传统方法相比方便、快捷很多。在工程应用中,负责与目标硬件进行实时通信的I／O接口是由I／O板卡及相应的设备驱动程序构成,这也是xPC目标实现的基础。在对比、论述xPC目标所支持的PCI和ISA两种主要总线类型I／O接口技术的基础上,对基于PCI总线的DAQ和多串口设备驱动进行了实际测试。     

基于S3C4510B＋uClinux的USB设备驱动的开发与实现

本文以USB总线的通用性及Linux的开放性为背景,结合特定的基于S3C4510B的硬件开发平台,介绍了设备驱动的概念,提出了uClinux下设备驱动程序开发的主要思路,以解决uClinux下的USB设备驱动的实现问题。     

基于块I/O的RAID设计

磁盘阵列(RAID)是当前能够提供存储系统高可用性和高可靠性的一项重要技术。它通过软硬件的冗余和奇偶校验提供数据的重构和恢复。针对当前在RAID控制软件设计的过程中面临多次数据拷贝的问题,文中提出了一种基于块I/O的RAID系统设计。它利用最新的Linux内核所提供的BIO机制,插入到SCSI Target的中间层进行数据I/O的处理。它能屏蔽掉上层不同的设备驱动类型,提供到IP-SAN的无缝链接。实验表明,该设计能够减少数据的传输延迟,最大限度地提高数据传输过程中的吞吐率,避免了多次昂贵的内存拷贝操作。     

Harmonic control of a dual-valve hydraulic servo system with dynamically allocated flows

Modern industries face increasing demands to improve the precision and workability of equipment, leading to stringent requirements for hydraulic servo systems in terms of flow, accuracy, and output power. High-flow servo valves and multi-valve synchronous control methods have seen more applications in the industry to meet these demands. However, high-flow servo valves are expensive and have unsatisfactory performance, and synchronous control methods require servo valves to have the same hydraulic characteristics, resulting in higher cost and lower accuracy of high-flow hydraulic servo systems. Also, very little has been conducted on controlling single actuators using multiple valves. In this study, we design a novel dual-valve hydraulic servo system structure with a high-flow proportional directional valve that is connected in parallel with a low-flow servo valve and further develop the mathematical model of this dual-valve system. Next, a harmonic control scheme was proposed, which included a flow allocation layer and trajectory tracking layer. Thereby, we achieved optimal control of two valves, and robust performance was guaranteed. Finally, we investigate the relationships between the flows of two valves, the deadband of the proportional directional valve, and trajectory tracking errors. Experimental results show that the proposed control scheme can effectively adjust the output flow of each valve dynamically according to the tracking trajectory and the hydraulic characteristics of the two valves, and the tracking performance of the servo system is significantly improved. This method is promised to enable the realization of an economical, high-flow, high-precision hydraulic servo system that can be generally used in various fields, such as marine engineering and construction.     

Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network

This paper plans to develop an intelligent super resolution model with the linkage of Wavelet lifting scheme and Deep learning algorithm. Before initiating the resolution procedure, the entire HR images are converted into Low Resolution (LR) images using bicubic interpolation-based downsampling and upsampling. Further, the Wavelet lifting scheme helps to generate the four subbands of each image like LR wavelet Sub-Bands for LR images, and High Resolution (HR) wavelet Sub-Bands for HR images. The residual image is generated by taking the difference between the LR wavelet Sub-Bands and HR wavelet Sub-Bands images. The proposed model involves two main phases: Training phase and Testing. The training phase trains the residual image of all images by Deep Convolutional Neural Network with LR wavelet Sub-Bands as input and residual image as target. On the other hand, in testing phase, the LR wavelet Sub-Bands query image is subjected to Deep Convolutional Neural Network, which outputs the concerned residual image. This generated residual image is summed with LR wavelet Sub-Bands image, followed by inverse wavelet lifting scheme to obtain the final super resolution image. The main contribution of this paper is to improve the conventional Deep Convolutional Neural Network by optimizing the number of hidden layer, and hidden neurons using modified Whale Optimization Algorithm called Average Fitness Enabled Whale Optimization Algorithm by considering the objective of maximizing the Peak Signal-to-Noise Ratio. Finally, the proposed method achieves an improved quality of the results which is comparable the existing models.