关键词： digital signal processing   analysis of rheographic signals   base impedance compensation   rheogram characteristic points   impedance plethysmography   avanced computing methods  

摘要： In this paper we are introducing innovative solutions applied in impedance plethysmography concerning improvement of the rheagraph characteristics and the efficiency increase of the developing rheograms using computer methods. The described methods have been developed in order to ensure the stability of parameters and to extend the functionality of the rheographic system based on digital signal processing, which applies to the compensation of the base resistance with a digital potentiometer, digital synthesis of quadrature excitation signals and the performance of digital synchronous detection. The emphasis was put on methods for determination of hemodynamic parameters by computer processing of the rheograms. As a result-three methods for respiratory artifacts elimination have been proposed: based on the discrete cosine transform, the discrete wavelet transform and the approximation of the zero line with spline functions. Additionally, computer methods for physiological indicators determination, including those based on wavelet decomposition, were also proposed and described in this paper. The efficiency of various rheogram compression algorithms was tested, evaluated and presented in this work.

关键词： spatio-temporal sensing data   spatio-temporal data processing   spatio-temporal index   polygon range query algorithm   k nearest neighbor query algorithm   query optimization   SpatialHadoop  

摘要： The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types. However, processing such datasets is often challenging due to high-dimensional sensor data geometry characteristics, complex anomalistic spatial regions, unique query patterns, and so on. Timely and efficient spatio-temporal querying significantly improves the accuracy and intelligence of processing sensing data. Most existing query algorithms show their lack of supporting spatio-temporal queries and irregular spatial areas. In this paper, we propose two spatio-temporal query optimization algorithms based on SpatialHadoop to improve the efficiency of query spatio-temporal sensing data: (1) spatio-temporal polygon range query (STPRQ), which aims to find all records from a polygonal location in a time interval;(2) spatio-temporal k nearest neighbors query (STkNNQ), which directly searches the query point's k closest neighbors. To optimize the STkNNQ algorithm, we further propose an adaptive iterative range optimization algorithm (AIRO), which can optimize the iterative range of the algorithm according to the query time range and avoid querying irrelevant data partitions. Finally, extensive experiments based on trajectory datasets demonstrate that our proposed query algorithms can significantly improve query performance over baseline algorithms and shorten response time by 81% and 35.6%, respectively.

关键词： 视频系统   数据采集   数据处理  

ISBN: (纸本)9787563564446

摘要： 本书主要研究了面向智慧旅游的视频数据智能处理与挖掘相关技术及应用，以提高旅游景区视频大数据中异常事件检测和识别的精度、鲁棒性、实时性等性能为目的，从而实现对旅游突发事件及时预测和预警，保障旅游安全。本书首先研究了视频大数据的去噪技术，重点研究了基于残差卷积神经网络的视频去噪算法；然后研究了视频大数据的超分辨率重建技术，重点研究了综合深度学习、半耦合字典学习和时空非局部相似性特征的视频超分辨率重建算法；其次研究了旅游景区视频的显著性时空特征提取算法；然后在此基础上研究了旅游景区视频大数据中的异常事件检测和识别技术，重点研究了基于稀疏组合学习的旅游景区视频异常事件检测算法，以及基于时空感知深度网络的旅游景区视频异常事件识别算法。最后设计并实现了面向视频大数据的旅游突发事件监测系统。

关键词： Memristor   Resistive switching   Spike-timing-dependent plasticity   Neuromorphic computing systems   Neural network   Parylene  

摘要： Neuromorphic networks adopt human brain mechanisms and create a promising way to solve various artificial cognitive problems. Memristors, novel circuit design elements, could play the role of hardware synapses in such systems. Memristors based on parylene, safe material for usage within the human body, have already shown their eligibility for neuromorphic applications. The embedding of metal nanoparticles into the parylene layer leads to even better memristive characteristics, but the usage of such memristors in neuromorphic systems is still questionable. In this paper, the characteristics of nanocomposite poly(chloro-p-xylylene) memristors are studied, and the possibility of their training following spike-timing-dependent plasticity rules is demonstrated. Furthermore, a simple spiking neuromorphic network based on such memristors is successfully simulated to solve the task of breast cancer data classification. The results pave the way towards bio-compatible and energy-efficient wearable neuromorphic systems based on parylene memristors.

关键词： PARP1   Dual -target inhibitors   Drug resistance   BRCA-de ficient   BRCA wild -type  

摘要： PARP1 plays a crucial role in DNA damage repair, making it an essential target for cancer therapy. PARP1 inhibitors are widely used to treat BRCA-deficient malignancies, and six PARP inhibitors have been approved for clinical use. However, excluding the great clinical success of PARP inhibitors, the concomitant toxicity, drug resistance, and limited scope of application restrict their clinical efficacy. To find solutions to these problems, dual-target inhibitors have shown great potential. In recent years, several studies have linked PAPR1 to other primary cancer targets. Many dual-target inhibitors have been developed using structural fusion, linkage, or library construction methods, overcoming the defects of many single-target inhibitors of PARP1 and achieving great success in clinical cancer therapy. This review summarizes the advance of dual-target PARP1 inhibitors in recent years, focusing on their structural optimization process, structure-activity relationships (SARs), and in vitro or in vivo analysis results.(c) 2021 Elsevier Masson SAS. All rights reserved.

关键词： 单线激光雷达   数据采集   点云   数据处理   三维重建  

摘要： 现有三维扫描激光雷达存在成本高、扫描范围有限等缺点,为解决这些问题,本文提出一种基于单线激光雷达的三维形貌重建系统,并对系统进行误差补偿以提高系统的准确度。该系统采用可编程逻辑控制器控制的步进电机旋转单线激光雷达的扫描平面,实现对实际空间场景的扫描。通过上位机控制扫描装置的工作过程同时获取原始点云数据,进而针对原始点云数据的特征提出一种动态分步处理数据的方法,将处理后的点云数据应用Crust算法实现三维形貌重建。最后,通过实验验证了本文所提出的方法的有效性和实用性。

关键词： STM32   心理测试仪   心理反应   监测系统   数据处理   可视化  

摘要： 如今的心理反应跟踪监测系统受到数据采集模式的影响,运行功耗较高,其电池续航能力较差。基于此,提出基于STM32的心理测试仪心理反应跟踪监测系统设计,在硬件设计方面,针对协调器和实时时钟进行优化设计;在软件设计方面,以STM32微控制器为基础构建多通道模拟数字转换器,采集测试仪心理反应数据,并实现数据的清洗和变换。设计无线传输方案将数据发送至终端,结合实时时钟更新液晶显示程序中的跟踪监测数据。系统测试结果显示:系统的平均运行功耗为10.46 W/h,具备超低功耗优势,电池续航能力更强,值得推广。

关键词： 第七次全国人口普查   数据处理平台   电子化  

摘要： 数据处理是大型普查中的重要一环。第七次全国人口普查首次全面采用电子化处理方式,使用电子采集设备联网实时采集数据,创造性地开发自主填报方式,利用定位进行“两员”行为分析,应用行业、职业代码自动赋码技术,全面推进行政记录大数据应用,注重公民个人信息保护,提高了普查数据采集效率和采集质量。本文从此次普查数据处理平台应用的角度,浅析应用过程中发现的问题,并提出几点改进的建议。

关键词： 电感测微仪   量块   数据处理系统   机械运动   测量不确定度评定   误差校准   工件装夹   应用软件  

摘要： 一、测量原理电感测微仪由主机台、高精度位移传感系统、机械运动系统、工件装夹系统、控制及数据处理系统、工业人机界面及应用软件等组成,结构如图1所示。本文选用3等量块,利用相对法对电感测微仪的测量误差进行校准。二、测量方法电感测微仪的测量误差校准以第一块量块对准零位,测得第二块量块受检点的测量误差,再以第二块量块对准零位,测得第三块量块受检点的测量误差。以此类推,直至所需配对的最后一块量块。