An Experimental Investigation into the Feed Rate Capacity of Rotary Valve and Blow Tank Feeders

Industry widely uses rotary valves and blow tanks for the pneumatic conveying of products, each having their pros and cons depending on the specific application. This article shows the differing results obtained when low-velocity conveying a product through a common pipeline using both a drop-through rotary valve and a bottom-discharge blow tank feeder. A number of issues arise in the rotary valve system, the main one being rotary valve air leakage. A blow tank system, on the other hand, does not leak, as it is an enclosed system. The experimental results show dramatic differences in product throughput. Further exploration leads to a novel modification being made to the rotary valve system in an attempt to increase its capacity. The result of this modification shows a slight increase in output tonnage, but still significantly less than that obtained from the blow tank.     

New rotary valves for pulse-tube refrigerators

In most used rotary valves in GM-type pulse-tube refrigerators the rotor makes heavy mechanical contact with the stator, so the valve is liable to wear, and large torques are needed. In this paper we will describe two types of valves, which have balanced forces on the rotor. In the first valve the rotor and the stator make no mechanical contact. The second type is a contact valve, like the classical valves, but the forces on the rotor are balanced in a different way. Therefore, these valves are less liable to wear, and the torques needed to rotate the valves are small.     

单液晶光阀彩色大屏幕投影显示

设计一电路,将彩色图象信息编码到黑白CRT的亮度之中,并将其写入液晶光阀,用白光读出,当编码合适时,读出的象颜色可与原图像一致。本文讨论了这一技术原理并进行了单液晶光阀彩色大屏幕投影的实验验证。     

基于．NET气门尺寸检测系统软件架构设计

光学非接触检测是随着机械制造技术、计算机视觉技术、图像处理技术等发展而出现的新兴检测技术。传统人工手段对气门尺寸的检测往往存在效率低、可靠性差、检测精度不高、成本高、容易出错等弊端,采用光学非接触检测技术不仅可以提高检测的效率、精度和可靠性,同时可以降低成本和出错率。文中在阐述了系统的硬件结构和基本工作原理的基础上,通过分析实际生产需求,结合．NET技术框架,提出了符合实际需求的检测系统总体架构,并开发了汽车发动机气门尺寸自动检测系统,实现了系统各个功能模块并合理地解决了模块之间的联系,通过高精度算法检测出零件参数。该系统已应用于实际生产中,取得不错的效果。     

自动排气阀在污水箱涵管道上的应用

自动排气阀应用于大型污水压力输送管系，在国内尚属首例，该文证明自动排气阀的应用对长距离污水输送管道的正常运行、安全运行具有重要意义。并阐明了自动排气阀的工作原理、排气性能的理论分析和实际运行情况，克服了排气井给景观地区的周围环境带来的种种弊端，提高了该地区的环境质量。     

Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches

In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO₂). Thirty-five participants performed Meyer and Flenghi's step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model's estimates of VO₂ were not significantly different from actual field VO₂ measurements (RMSE = 3.5 ml/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO₂ estimation from HR data collected in the field.     

gHRV: Heart rate variability analysis made easy

In this paper, the gHRV software tool is presented. It is a simple, free and portable tool developed in python for analysing heart rate variability. It includes a graphical user interface and it can import files in multiple formats, analyse time intervals in the signal, test statistical significance and export the results.     

Classification of cardiac sound signals using constrained tunable-Q wavelet transform

The features extracted from the cardiac sound signals are commonly used for detection and identification of heart valve disorders. In this paper, we present a new method for classification of cardiac sound signals using constrained tunable-Q wavelet transform (TQWT). The proposed method begins with a constrained TQWT based segmentation of cardiac sound signals into heart beat cycles. The features obtained from heart beat cycles of separately reconstructed heart sounds and murmur can better represent the various types of cardiac sound signals than that from containing both. Therefore, heart sounds and murmur have been separated using constrained TQWT. Then the proposed novel raw feature set has been created by the parameters that have been optimized while constraining the output of TQWT together with that of extracted by using time-domain representation and Fourier–Bessel (FB) expansion of separated heart sounds and murmur. However, the adaptively selected features have been used to obtain the final feature set for subsequent classification of cardiac sound signals using least squares support vector machine (LS-SVM) with various kernel functions. The performance of the proposed method has been validated with publicly available datasets and the results have been compared with the existing short-time Fourier transform (STFT) based method. The proposed method shows higher percentage classification accuracy of 94.01 as compared to 93.53 of STFT based method. In comparison with STFT based method, it is noteworthy that the proposed method uses well defined and lower dimensionality of feature vector that can reduce the computational complexity.     

基于SIFT算法的三维心脏表面模型重建

心脏三维模型对于心脏疾病的诊断和治疗有很重要的作用,为满足心肌缺血可视化的显示需求,提出了一种基于SIFT图像匹配算法重建三维心脏表面模型的新方法。该方法用一部标定好的数码相机围绕心脏模型拍摄一组照片,用SIFT算法完成图像间同名点的匹配,通过这些同名点求出相机的外参数,进而实现三维心脏模型的重建。实验结果表明,该方法成功地重建了三维心脏表面模型,并且成本低、效率高,重建的模型能满足心肌缺血可视化的显示需要。     

狗心脏中I_(to)相关钾离子通道表达分析

目的探讨钾离子通道Kv4·3和Kv1·4在正常与心衰的心肌组织中的表达差别,为进一步阐明心衰的发病机理奠定基础。方法建立狗的心衰模型,用Western blot方法对正常与心衰的狗心肌组织中Kv4·3、Kv1·4及辅助亚基Mink的表达进行分析。结果在心衰时,Kv4·3表达有明显下降;Kv1·4表达有所上升,在心肌组织的不同部位,即外层和内层Kv1·4的表达明显不同;同时Mink的表达在心肌外层也有明显下降。结论心衰时,心肌组织中形成Ito的钾离子通道Kv4·3和Kv1·4以及辅助亚基Mink的蛋白表达变化之间可能存在着一些相关性。