Towards Cache-Assisted Hierarchical Detection for Real-Time Health Data Monitoring in IoHT

Real-time health data monitoring is pivotal for bolstering road services’safety,intelligence,and efficiency within the Internet of Health Things(IoHT)framework.Yet,delays in data retrieval can markedly hinder the efficacy of big data awareness detection systems.We advocate for a collaborative caching approach involving edge devices and cloud networks to combat this.This strategy is devised to streamline the data retrieval path,subsequently diminishing network strain.Crafting an adept cache processing scheme poses its own set of challenges,especially given the transient nature of monitoring data and the imperative for swift data transmission,intertwined with resource allocation tactics.This paper unveils a novel mobile healthcare solution that harnesses the power of our collaborative caching approach,facilitating nuanced health monitoring via edge devices.The system capitalizes on cloud computing for intricate health data analytics,especially in pinpointing health anomalies.Given the dynamic locational shifts and possible connection disruptions,we have architected a hierarchical detection system,particularly during crises.This system caches data efficiently and incorporates a detection utility to assess data freshness and potential lag in response times.Furthermore,we introduce the Cache-Assisted Real-Time Detection(CARD)model,crafted to optimize utility.Addressing the inherent complexity of the NP-hard CARD model,we have championed a greedy algorithm as a solution.Simulations reveal that our collaborative caching technique markedly elevates the Cache Hit Ratio(CHR)and data freshness,outshining its contemporaneous benchmark algorithms.The empirical results underscore the strength and efficiency of our innovative IoHT-based health monitoring solution.To encapsulate,this paper tackles the nuances of real-time health data monitoring in the IoHT landscape,presenting a joint edge-cloud caching strategy paired with a hierarchical detection system.Our methodology yields enhanced cache efficiency and data freshness.The corroborative numerical data accentuates the feasibility and relevance of our model,casting a beacon for the future trajectory of real-time health data monitoring systems.

High-SpeedReal-TimeDataAcquisitionSystem Realized by Interleaving/Multiplexing Technique

The interleaving/multiplexing technique was used to realize a 200?MHz real time data acquisition system. Two 100?MHz ADC modules worked parallelly and every ADC plays out data in ping pang fashion. The design improved the system conversion rata to 200?MHz and reduced the speed of data transporting and storing to 50?MHz. The high speed HDPLD and ECL logic parts were used to control system timing and the memory address. The multi layer print board and the shield were used to decrease interference produced by the high speed circuit. The system timing was designed carefully. The interleaving/multiplexing technique could improve the system conversion rata greatly while reducing the speed of external digital interfaces greatly. The design resolved the difficulties in high speed system effectively. The experiment proved the data acquisition system is stable and accurate.

Alternate Data Acquisition and Real-time Monitoring System on HT-7 Tokamak

A new system called alternate data acquisition and real-time monitoring system has been developed for long-time discharge in tokamak operation. It can support continuous on-line data acquisition at a high sampling rate and a graphic display of the plasma parameters during the discharge. Thus operators can monitor and control the plasma state in real time. An application of this system has been demonstrated on the HT-7 tokamak.

Design and prototyping of the readout electronics for the transition radiation detector in the high energy cosmic radiation detection facility

The high energy cosmic-radiation detection(HERD)facility is planned to launch in 2027 and scheduled to be installed on the China Space Station.It serves as a dark matter particle detector,a cosmic ray instrument,and an observatory for high-energy gamma rays.A transition radiation detector placed on one of its lateral sides serves dual purpose,(ⅰ)calibrating HERD's electromagnetic calorimeter in the TeV energy range,and(ⅱ)serving as an independent detector for high-energy gamma rays.In this paper,the prototype readout electronics design of the transition radiation detector is demonstrated,which aims to accurately measure the charge of the anodes using the SAMPA application specific integrated circuit chip.The electronic performance of the prototype system is evaluated in terms of noise,linearity,and resolution.Through the presented design,each electronic channel can achieve a dynamic range of 0–100 fC,the RMS noise level not exceeding 0.15 fC,and the integral nonlinearity was<0.2%.To further verify the readout electronic performance,a joint test with the detector was carried out,and the results show that the prototype system can satisfy the requirements of the detector's scientific goals.

Cyber Resilience through Real-Time Threat Analysis in Information Security

This paper examines how cybersecurity is developing and how it relates to more conventional information security. Although information security and cyber security are sometimes used synonymously, this study contends that they are not the same. The concept of cyber security is explored, which goes beyond protecting information resources to include a wider variety of assets, including people [1]. Protecting information assets is the main goal of traditional information security, with consideration to the human element and how people fit into the security process. On the other hand, cyber security adds a new level of complexity, as people might unintentionally contribute to or become targets of cyberattacks. This aspect presents moral questions since it is becoming more widely accepted that society has a duty to protect weaker members of society, including children [1]. The study emphasizes how important cyber security is on a larger scale, with many countries creating plans and laws to counteract cyberattacks. Nevertheless, a lot of these sources frequently neglect to define the differences or the relationship between information security and cyber security [1]. The paper focus on differentiating between cybersecurity and information security on a larger scale. The study also highlights other areas of cybersecurity which includes defending people, social norms, and vital infrastructure from threats that arise from online in addition to information and technology protection. It contends that ethical issues and the human factor are becoming more and more important in protecting assets in the digital age, and that cyber security is a paradigm shift in this regard [1].

Principle and realization method of tunnel deformation detection based on image recognition and data transmission technology

To detect the deformation of the tunnel structure based on image sensor networks is the advanced study and application of spatial sensor technology. For the vertical settlement of metro tunnel caused by internal and external stress after its long period operation, the overall scheme and measuring principle of tunnel deformation detection system is in- troduced. The image data acquisition and processing of detection target are achieved by the cooperative work of image sensor, ARM embedded system. RS485 communication achieves the data transmission between ARM memory and host computer. The database system in station platform analyses the detection data and obtains the deformation state of tunnel inner wall, which makes it possible to early-warn the tunnel deformation and take preventive measures in time.

Detection and Mapping of Violent Crime Hotspots in Southwestern Nigeria

The increasing rate of insecurity in Nigeria, especially the southwest requires a paradigm shift from popular approach to crime hotspots detection. This study employed geospatial technologies to integrate spatio-temporal crime, social media and field observation data from the communities in all the six states in the southwest to develop crime hotspots that can serve as preliminary information to assist in allocating resources for crime control and prevention. Historical crime data from January 1972 to April, 2021 were compiled and updated with rigorous field survey in September, 2021. The field data were encoded, input to the SPSS 17 and analyzed using descriptive statistics and multivariate analysis. A total 936 crime locations data were geolocated and exported to ArcGIS 10.5 for spatial mapping using point map operation and further imported to e-Spatial web-based and QGIS for the generation of hotspot map using heatmap tool. The results revealed that armed robbery, assassination and cultism were more pronounced in Lagos and Ogun States. Similarly, high incidences of farmers/herdsmen conflicts are observed in Oyo and Osun States. Increasing incidences of kidnapping are common in all the south-western states but very prominent in Ondo, Lagos and Oyo States. Most of the violent crime incidents took place along the highways, with forests being their hideouts. Violent crimes are dominantly caused by high rate of unemployment while farmer/herdsmen conflicts were majorly triggered by the scarcity of grazing fields and destruction of arable crops. The conflicts have resulted in the increasing cases of rape and disruption of social group, intake of hard drugs, cult-related activities, low income and revenue generation, and displacement of farmers and infrastructural damages. The study advocates regular retraining and equipping of security agents, establishment of cattle ranch, and installation of sophisticated IP Camera at the crime hotspots to assist in real-time crime monitoring and management.

Online Magnetic Flux Leakage Detection System for Sucker Rod Defects Based on LabVIEW Programming

Aiming at the detection of the sucker rod defects,a real-time detection system is designed using the non-destructive testing technology of magnetic flux leakage(MFL).An MFL measurement system consists of many parts,and this study focuses on the signal acquisition and processing system.First of all,this paper introduces the hardware part of the acquisition system in detail,including the selection of the Hall-effect sensor,the design of the signal conditioning circuit,and the working process of the single chip computer(SCM)control serial port.Based on LabVIEW,a graphical programming software,the software part of the acquisition system is written,including serial port parameter configuration,detection signal recognition,original signal filtering,real-time display,data storage and playback.Finally,an experimental platform for the MFL detection is set up,and the MFL measurement is carried out on the transverse and longitudinal defects of the sucker rod surface.The experimental result shows that the designed acquisition and processing system has good detection performance,simple design and high flexibility.

Development and Application of Real-time Bridge Scour Monitoring System

Because of the complex nature of the changes in the current and movement of the riverbeds by bridge scouring, it is impossible to understand or predict these changes. In order to have a reliable data, it is critical to have the current methods and equipment for measuring bridge scouring replaced with technology that could acquire real-time bridge scouring data. Despite the critical need for real-time data acquisition, the harsh environmental conditions have prevented the scientific community from acquiring real-time data. Harsh environmental conditions were addressed by the developmental of an automated, remote data collection system, allowing real-time data such as scour movement, scour depth, and scour trend to be viewed in a safe location. As a result, accurate sea-floor movements were seen for the first time, aiding the direction and future of bridge scour research, ultimately contributing greatly to the safety of bridges.

Automatic Detection of Electric Meter Position in Automated Assembly Line Turnover Box

In the process of metering and automatic production system in the measurement and verification of the loading robot,if there is a positional shift of the electric meter,the gripper of the loading robot will mechanically collide with the electric meter.Due to the large force of the loading robot,the appearance of the electric meter is damaged,and the mechanical arm of the loading robot is broken,which reduces the service life of the measuring and verifying equipment,which is not conducive to the continuous and stable operation of the automatic verification system.In this paper,an automatic detection system of electric meter position in the turnaround box is proposed,which can reduce the failure rate of the automatic verification system,improve the verification efficiency,reduce the loss of metering assets and the occurrence of safety accidents by realizing the offset detection and correction of the electric meter position in the turnover box.

Patient Centered Real-Time Mobile Health Monitoring System

In this paper, we introduce a system architecture for a patient centered mobile health monitoring (PCMHM) system that deploys different sensors to determine patients’ activities, medical conditions, and the cause of an emergency event. This system combines and analyzes sensor data to produce the patients’ detailed health information in real-time. A central computational node with data analyzing capability is used for sensor data integration and analysis. In addition to medical sensors, surrounding environmental sensors are also utilized to enhance the interpretation of the data and to improve medical diagnosis. The PCMHM system has the ability to provide on-demand health information of patients via the Internet, track real-time daily activities and patients’ health condition. This system also includes the capability for assessing patients’ posture and fall detection.

Intelligent Identification over Power Big Data:Opportunities,Solutions,and Challenges

The emergence of power dispatching automation systems has greatly improved the efficiency of power industry operations and promoted the rapid development of the power industry.However,with the convergence and increase in power data flow,the data dispatching network and the main station dispatching automation system have encountered substantial pressure.Therefore,themethod of online data resolution and rapid problemidentification of dispatching automation systems has been widely investigated.In this paper,we performa comprehensive review of automated dispatching of massive dispatching data from the perspective of intelligent identification,discuss unresolved research issues and outline future directions in this area.In particular,we divide intelligent identification over power big data into data acquisition and storage processes,anomaly detection and fault discrimination processes,and fault tracing for dispatching operations during communication.A detailed survey of the solutions to the challenges in intelligent identification over power big data is then presented.Moreover,opportunities and future directions are outlined.

基于多层级时空图神经网络的风电机组在线异常检测

在风电场运营中,准确及时的故障检测是降低风电机组运行维护成本的关键。然而,现有检测方法未充分挖掘功能单元间的潜在时空关联,限制了检测准确性的提升。文中提出了一种基于多层级时空图神经网络的风电机组在线异常检测方法,以提高故障检测的准确性。该方法依据风电机组物理结构,将其功能单元划分为多个子图,从而构筑了一个多层级的时空图神经网络,通过图注意力机制和多头注意力机制全方位地分析风电机组各传感器节点与功能单元之间的关联强度。同时,针对数据采集与监控(SCADA)系统数据的时间关联,设计了动态图神经网络和时间注意力机制,使正常行为预测模型捕捉了SCADA系统数据的时间关联特性,实现了空间和时间特性的有效融合。最后,基于中国上海某风电场的实际数据验证了所提方法的显著有效性。

基于PLC的自动测流机器人系统设计

针对当前河道测流存在的效率和自动化程度较低、测量模式单一等问题,提出了一套基于可编程逻辑控制器(PLC)的河道自动测流机器人系统设计与实现方案。该机器人系统由运动系统、采集系统、人机交互以及远程通信四大模块组成。首先,设计了自动测流机器人系统的硬件结构,实现了自动测流机器人在河流轨道上运动、铅鱼收放等功能。然后,开发了基于PLC的测控系统,设计了PLC梯形图和硬件连接方案,实现了自动测流机器人运动控制。最后,自动测流机器人系统通过RS-485通信协议将多传感器采集的数据传输到操控屏,结合4G远程技术,实现了采集数据和操作指令的远程传输。通过现场模拟的采集测试,该机器人系统可实现自动测流、远程操控、故障自检等功能,并提供多种测量模式,满足河道测流的使用需求。该系统的设计为开展智能化河流数据采集的研究奠定了基础。

数据处理与信号调理组合系统设计

数据处理组合与信号调理组合是自动化测试系统的重要测试设备,数据处理组合包括电源、控制器、DA输出、AD采集、数字IO信号处理、串行总线通信及1553B总线通信等几个部分,目的是能够实现模拟量及数字量信号控制输出、模拟量及数字量信号采集监测、RS422串行总线通信及1553B总线数据通信等基本功能,模块化设计采用PXI总线架构形式,优点是成熟稳定可靠并且能够支持扩展,数据处理组合控制器接收指令与各功能板卡配合完成所需功能;信号调理组合作为被测与数据处理组合的中间信号转接设备,实现了数据参数的接口匹配及信号隔离等功能,重点对信号调理电路及芯片进行了计算研究,经实验测试实现了不同幅值的数字量信号和模拟量信号输入输出转换及不同转换比例的电压电流转换,经实际应用满足了信号转换及隔离等功能。

基于ZYNQ的电磁成像系统

文章使用ZYNQ开发板设计了一套基于电磁感应理论的成像系统。该系统使用8个铜制线圈组成阵列传感器,以Xilinx公司研发的ZYNQ-7000来设计单通道高速数据采集系统。采用14位的AD9240作为模数转换芯片,同时以AD9767与AD9240形成回路以检测激励信号。系统的最高采样率能达到32MSPS,可以满足成像过程对于采样率的需求。外围电路与FPGA之间通过SPI总线通信,并利用Vivado和SDK软件进行联合开发,利用相敏检波算法对采集到的信号进行幅值与相位的分离与提取。通过对阵列传感器检查范围内放置金属样品进行成像实验,从实验结果中可以看出,论文所设计的系统可以满足准确采集电磁信号,并可利用采集信号进行电磁层析成像。

基于多元增量分析模型的流域电厂大数据采集监视

提出基于多元增量分析模型的流域电厂大数据采集监视方法,通过数据分析发现异常电厂大数据,保障流域电厂安全运行。数据采集层在PIC18F8722单片机控制下利用多种传感器获取采集对象层的多种流域电厂数据,经数据汇集层的弹性消息总线和转发代理,将采集数据传输至数据处理层数据接收模块,多元增量分析模型调用接收到的数据,通过增量的方式构建电厂数据矩阵正常检测模型,对比其与待检测数据,发现异常电厂大数据,并将异常检测结果族谱写入数据存储层数据库所对应的列簇里,通过前端展示层将监视结果呈现给用户。实验结果表明,该方法可精准、快速采集流域电厂海量数据,可有效发现流域电厂的异常数据,并将其可视化呈现,确保流域电厂安全运行。

基于边缘侧采集装置的实时数据监测方法分析

阐述一种基于边缘侧采集装置的实时数据监测方法,该方法通过将数据采集与处理分布到边缘侧设备上,实现对数据的快速响应和高效处理。同时采用多层次的数据监测策略,包括预处理、实时监测和异常检测等环节,确保数据的准确性和完整性。

V2G直流充电桩检测方案与检测系统设计

针对现有V2G直流充电桩现场检测装置功能不全面、检测方案单一、控制及管理困难等问题,依据国家相关标准,设计了V2G直流充电桩检测方案和检测系统。首先,根据需要设计了3种检测方案:现场检测方案、实验室检测方案以及动力电池检测方案。不同的检测方案对应V2G充电桩不同检测环境和检测项目。然后,依据3种检测方案给出了检测系统的硬件设计和软件设计,能够实现对V2G直流充电桩充放电功能、直流输出性能、并网性能及保护功能等进行检测。同时还可以对电动汽车动力电池状态进行评估,从而判断电池潜在风险。最后,通过对V2G直流充电桩和车辆动力电池进行不同项目检测。测试结果表明所设计的检测方案和检测系统能够准确实现对V2G直流充电桩的功能和性能检测。

基于改进的YOLOV5算法对ADB汽车大灯的外界环境检测

针对远光灯交汇会影响汽车驾驶员的视觉注意力,导致汽车驾驶员夜间行驶安全难以得到保障的问题,研究基于机器视觉及深度学习的ADB汽车大灯的外界环境检测方法;通过机器视觉的CCD相机采集ADB汽车大灯外界环境图像数据,利用数据筛选方法剔除采集到的图像数据中干扰光源数据,依据路况特征差异,划定ADB汽车大灯外界环境检测目标区域后,通过深度学习算法检测外界环境目标车灯光源,结合扩展卡尔曼预测各目标车灯光源轨迹,当车辆前方有车灯光源经过时,ADB系统及时调整汽车远光灯对应区域灯珠亮度,减少在高速行驶时因远光灯交汇对汽车驾驶员的视觉影响,保障汽车安全行驶;实验结果表明,该方法可有效剔除各类干扰光源,准确检测目标车灯光源,且目标车灯光源轨迹预测结果与真实结果非常接近,可精准完成ADB汽车大灯的外界环境检测。