提高S系列风冷柴油机可靠性措施与效果

根据用户反馈的信息及在试验中获得扔关资料，对Ｓ系列风冷柴油机产品中影响可靠性的有关零部件进行了分析研究，并且采取了微后弯外置式新风扇、曲轴调端轴承、油箱保护隔振等改进措施，经试验验让，对提高Ｓ系列风冷柴油机的可靠性具有较好的效果。     

Bayesian estimation of ventricular contours in angiographic images

A method for left ventricular contour determination in digital angiographic images is presented. The problem is formulated in a Bayesian framework, adopting as the estimation criterion the maximum a posterior probability (MAP). The true contour is modeled as a one-dimensional noncausal Gauss-Markov random field and the observed image is described as the superposition of an ideal image (deterministic function of the real contour) with white Gaussian noise. The proposed algorithm estimates simultaneously the contour and the model parameters by implementing an adaptive version of the iterated conditional modes algorithm. The convergence of this scheme is proved and its performance evaluated on both synthetic and real angiographic images. The method exhibits robustness against image artifacts and the contours obtained are considered good by expert clinicians. Being completely data-driven and fast, the proposed algorithm is suitable for routine clinical use.     

High-speed techniques for estimating t1, t2, and density images

This work presents methods for estimating relaxation times T1 and T2 and proton density using a real time digital video processor. This device performs each mathematical step of the fitting algorithms in one video frame interval (1/30 s). Two-point fits of T1 and T2 may be generated in approximately 15 video frame intervals or about 0.5 s; generation of a T2 image from four acquired images requires about 30 video frame intervals or about 1 s. The hardware is common to many commercial MR scanners and requires no array processor. Such high-speed techniques can expedite the clinical use of computed images and facilitate the implementation of image synthesis.     

基于驱动电流的水下热敏剪应力微传感器灵敏度研究

驱动电流是热敏式剪应力微传感器的一个重要参数。增大驱动电流可以提高传感器的灵敏度,但传感器的安全工作温度又限制了驱动电流的增大。研究了如何基于驱动电流来最大程度地提高传感器灵敏度。从理论上分析了传感器灵敏度随剪应力输入的变化规律。通过静水中的I-V特性测试实验,确定了传感器在水下工作的最大允许驱动电流。通过电压—剪应力特性测试实验,验证了传感器灵敏度与驱动电流的关系,得到了传感器在最大允许驱动电流激励下的灵敏度。研究,发现最大允许驱动电流可以使传感器在剪应力为0.2Pa时的灵敏度达到23.8mV/Pa。     

呼吸感应体积描记系统中弱信号锁相放大模块的设计

在呼吸感应体积描记呼吸测量系统中,需要测量nV~μV级的微弱感生电压信号,而且在测量过程中,做为传感器的电感线圈容易受到测量环境,呼吸运动以外的其他运动和电子噪声等影响。为适应系统测量范围并降低噪声的影响,设计了一种基于AD630锁相放大电路微弱生理信号检测模块。该模块的锁相放大器具有大于0.96的良好线性度,能检测出传感器的感生电压信号,并分离出直流分量,有效地降低噪声对系统的影响,提高了系统测量的精度,并有望应用于其他微弱生理信号检测。     

生物特征识别学科发展报告

从手机解锁、小区门禁到餐厅吃饭、超市收银,再到高铁进站、机场安检以及医院看病,人脸、虹膜和指纹等生物特征已成为人们进入万物互联世界的数字身份证。生物特征识别赋予机器自动探测、捕获、处理、分析和识别数字化生理或行为信号的高级智能,是一个典型而又复杂的模式识别问题,一直处于人工智能技术发展前沿,在新一代人工智能规划、“互联网+”行动计划等国家战略中具有重要地位。由于生物特征识别涉及公众利益攸关的隐私、道德和法律等问题,近期也引起了广泛的社会关注。本文系统综述了生物特征识别学科发展现状、新兴方向、存在问题和可行思路,深入梳理了人脸、虹膜、指纹、掌纹、静脉、声纹、步态、行人重识别以及多模态融合识别的研究进展,以人脸为例重点介绍了生物特征识别领域近些年受到关注的新方向——对抗攻击和防御、深度伪造和反伪造,最后剖析总结了生物特征识别领域存在的3大挑战问题——“感知盲区”、“决策误区”和“安全红区”。本文认为必须变革和创新生物特征的传感、认知和安全机制,才有可能取得复杂场景生物识别学术研究和技术应用的根本性突破,破除现有生物识别技术的弊端,朝着“可感”、“可知”和“可信”的新一代生物特征识别总体目标发展。