Stability and remote real-time monitoring of the slope slide body in the Luoshan mining area

Landslides have occurred frequently in the Luoshan mining area because of disordered mining.This paper discusses the landforms and physiognomy,hydro-meteorology,formation lithology,and geologic structure of the Luoshan mining area.It also describes the factors influencing the slope stability of landslide No.Ⅲ,determines the general parameters and typical section plane,analyzes the stress-strain state of the No.Ⅲ slope,and calculates its safety factors with FLAC3 D under saturated and natural conditions.Based on a stability analysis,a remote real-time monitoring system was applied to the No.Ⅲ slope,and these monitoring data were collected and analyzed.

Comprehensive and personalized approach is a critical area for developing remote cardiac rehabilitation programs

In the evolving landscape of cardiac rehabilitation(CR),adopting digital technologies,including synchronous/real-time digital interventions and smart applications,has emerged as a transformative approach.These technologies offer realtime health data access,continuous vital sign monitoring,and personalized educational enhanced patient self-management and engagement.Despite their potential benefits,challenges and limitations exist,necessitating careful consideration.Synchronous/real-time digital CR involves remote,two-way audiovisual communication,addressing issues of accessibility and promoting home-based interventions.Smart applications extend beyond traditional healthcare,providing real-time health data and fostering patient empowerment.Wearable devices and mobile apps enable continuous monitoring,tracking of rehabilitation outcomes,and facilitate lifestyle modifications crucial for cardiac health maintenance.As digital CR progresses,ensuring patient access,equitable implementation,and addressing the digital divide becomes paramount.Artificial intelligence holds promise in the early detection of cardiac events and tailoring patient-specific CR programs.However,challenges such as digital literacy,data privacy,and security must be addressed to ensure inclusive implementation.Moreover,the shift toward digital CR raises concerns about cost,safety,and potential depersonalization of therapeutic relationships.A transformative shift towards technologically enabled CR necessitates further research,focusing not only on technological advancements but also on customization to meet diverse patient needs.Overcoming challenges related to cost,safety,data security,and potential depersonalization is crucial for the widespread adoption of digital CR.Future studies should explore integrating moral values into digital therapeutic relationships and ensure that digital CR is accessible,equitable,and seamlessly integrated into routine cardiac care.Theoretical frameworks that accommodate the dynamic quality of real-time monitoring and feedback feature of digital CR interventions should be considered to guide intervention development.

A wearable real-time telemonitoring electrocardiogram device compared with traditional Holter monitoring

Arrhythmias are very common in the healthy populations as well as patients with cardiovascular diseases.Among them,atrial fibrillation(AF)and malignant ventricular arrhythmias are usually associated with some clinical events.Early diagnosis of arrhythmias,particularly AF and ventricular arrhythmias,is very important for the treatment and prognosis of patients.Holter is a gold standard commonly recommended for noninvasive detection of paroxysmal arrhythmia.However,it has some shortcomings such as fixed detection timings,delayed report and inability of remote real-time detection.To deal with such problems,we designed and applied a new wearable 72-hour triple-lead H3-electrocardiogram(ECG)device with a remote cloud-based ECG platform and an expertsupporting system.In this study,31 patients were recruited and 24-hour synchronous ECG data by H3-ECG and Holter were recorded.In the H3-ECG group,ECG signals were transmitted using remote real-time modes,and confirmed reports were made by doctors in the remote expert-supporting system,while the traditional modes and detection systems were used in the Holter group.The results showed no significant differences between the two groups in 24-hour total heart rate(HR),averaged HR,maximum HR,minimum HR,premature atrial complexes(PACs)and premature ventricular complexes(PVCs)(P>0.05).The sensitivity and specificity of capture and remote automatic cardiac events detection of PACs,PVCs,and AF by H3-ECG were 93%and 99%,98%and 99%,94%and 98%,respectively.Therefore,the long-term limb triple-lead H3-ECG device can be utilized for domiciliary ECG self-monitoring and remote management of patients with common arrhythmia under medical supervision.

An Intelligent Detection Method for Optical Remote Sensing Images Based on Improved YOLOv7

To address the issue of imbalanced detection performance and detection speed in current mainstream object detection algorithms for optical remote sensing images,this paper proposes a multi-scale object detection model for remote sensing images on complex backgrounds,called DI-YOLO,based on You Only Look Once v7-tiny(YOLOv7-tiny).Firstly,to enhance the model’s ability to capture irregular-shaped objects and deformation features,as well as to extract high-level semantic information,deformable convolutions are used to replace standard convolutions in the original model.Secondly,a Content Coordination Attention Feature Pyramid Network(CCA-FPN)structure is designed to replace the Neck part of the original model,which can further perceive relationships between different pixels,reduce feature loss in remote sensing images,and improve the overall model’s ability to detect multi-scale objects.Thirdly,an Implicitly Efficient Decoupled Head(IEDH)is proposed to increase the model’s flexibility,making it more adaptable to complex detection tasks in various scenarios.Finally,the Smoothed Intersection over Union(SIoU)loss function replaces the Complete Intersection over Union(CIoU)loss function in the original model,resulting in more accurate prediction of bounding boxes and continuous model optimization.Experimental results on the High-Resolution Remote Sensing Detection(HRRSD)dataset demonstrate that the proposed DI-YOLO model outperforms mainstream target detection algorithms in terms of mean Average Precision(mAP)for optical remote sensing image detection.Furthermore,it achieves Frames Per Second(FPS)of 138.9,meeting fast and accurate detection requirements.

A New Generation of Intelligent Mapping and Remote Sensing Scientific Test Satellite Luojia-301

With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites,they have become an important support for obtaining global accurate surveying and mapping remote sensing information.At present,optical mapping and remote sensing satellites already have sub-meter spatial resolution capabilities,but there is a serious lag problem in mapping and remote sensing information services.It is urgent to develop intelligent mapping and remote sensing satellites to promote the transformation and upgrading to real-time intelligent services.Firstly,based on the three imaging systems of the optical mapping and remote sensing satellites and their realization methods and application characteristics,this paper analyzes the applicable system of the intelligent mapping and remote sensing satellites.Further,according to the application requirements of real-time,intelligence,and popularization,puts forward the design concept of integrated intelligent remote sensing satellite integrating communication,navigation,and remote sensing and focuses on the service mode and integrated function composition of intelligent remote sensing satellite.Then expounds on the performance and characteristics of the Luojia-301 satellite,a new generation of intelligent surveying and mapping remote sensing scientific test satellite.And finally summarizes and prospects the development and mission of intelligent mapping remote sensing satellites.Luojia-301 satellite integrates remote sensing and communication functions.It explores an efficient and intelligent service mode of mapping and remote sensing information from data acquisition to the application terminal and provides a real service verification platform for on-orbit processing and real-time transmission of remote sensing data based on space-ground internet,which is of great significance to the construction of China’s spatial information network.

Improving Students’Participation and Collaboration With Adjusting Cloud Education Platform During the Real-Time Interactive Class

The purpose of this study was to find a way to promote the collaboration and interaction of students and bring about the growth of learners through feedback while taking advantage of real-time interactive class via video conferencing tools.Although real-time interactive class with using video conferencing tools had great advantages,but there were also limitations of active interaction.To this end,real-time interactive tool and cloud-based educational platform were applied to create cases of learner participation classes and analyze the cases.The convergence of real-time interactive class tools and cloud tools has been able to draw students’participation and collaboration in non-face-to-face situations,and it can be seen that it is very helpful in creating learner-centered educational activities based on communication and interaction with students.Through this,the application of the cloud-based educational platform in real-time interactive class could lead students to participate and collaborate even in non-face-to-face situations.

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.

Wearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration

Technical and accessibility issues in hospitals often prevent patients from receiving optimal mental and physical health care,which is essential for independent living,especially as societies age and chronic diseases like diabetes and cardiovascular disease become more common.Recent advances in the Internet of Things(IoT)-enabled wearable devices offer potential solutions for remote health monitoring and everyday activity recognition,gaining significant attention in personalized healthcare.This paper comprehensively reviews wearable healthcare technology integrated with the IoT for continuous vital sign monitoring.Relevant papers were extracted and analyzed using a systematic numerical review method,covering various aspects such as sports monitoring,disease detection,patient monitoring,and medical diagnosis.The review highlights the transformative impact of IoTenabled wearable devices in healthcare,facilitating real-time monitoring of vital signs,including blood pressure,temperature,oxygen levels,and heart rate.Results from the reviewed papers demonstrate high accuracy and efficiency in predicting health conditions,improving sports performance,enhancing patient care,and diagnosing diseases.The integration of IoT in wearable healthcare devices enables remote patient monitoring,personalized care,and efficient data transmission,ultimately transcending traditional boundaries of healthcare and leading to better patient outcomes.

基于组件技术与Web模式的远程教育网上作业处理系统设计与实现

1问题的提出 作业是教师了解学生学习情况和调节教学进度的主要依据之一.在远程教育过程中,由于师生沟通渠道受到限制,作业处理对于保证教学质量,较之传统模式具有更加重要的作用.远程网络多媒体教学虽然突破了时空限制和传统的授课模式,给学习者带来了更大的学习空间和灵活性,但是作业布置、提交与批复却没有传统模式实现方便.目前,远程网络教学过程的作业布置、提交与批复主要通过电子邮件和聊天室现场答疑方式进行.在实践过程中,这两种方式存在很大弊端.

大规模大客户负荷管理系统数据采集方案的研究

大客户负荷管理系统已成为电网公司电力营销管理工作中非常重要的工具系统,系统的功能应用依赖于远方终端传送的各类源数据。本文对基于GPRS/CDMA无线通信网络通道的前置采集主站系统与远方监控终端之间数据采集方案进行了深入的研究与分析,从确保大规模系统数据采集的高完整性、高效率性、高可靠性,以及最大限度的减少通信费用成本等方面提出了采集方案选择的建议。

天然气站场数据采集和远传实现方法

石油天然气行业生产站场分散,各站场设备运行安全性要求高,需要工作人员定期对设备进行巡查记录,以前主要靠手写记录,同时数据也不能及时上传到企业总部。文中提供了一种利用数据库系统、软件系统操作、企业局域网络传输等多项技术,实现天然气行业生产场站对设备的定期巡检,巡检数据通过网络及时上传的一种软件和硬件结合的实现方案。

应用ASP+IIS技术实现远程答疑系统

构建一个基于WEB的远程答疑系统一直为许多远程教育系统开发人员所关注,本文讨论了采用IIS和ASP技术去实现一个功能完善的远程答疑系统的有关问题.

告警直传与远程浏览在浙江省调度中的应用

电网调度的集中监控要求可便捷地查看下级站端系统中所有画面图形及相关告警。分析了调度监控系统的应用现状及存在的问题,介绍了电网调度中基于OPEN-3000支撑平台系统的告警直传和远程浏览的方式。该方式在浙江省调度与一些地调系统和变电站系统的应用效果良好。

煤矿调度电话录音上传及远程回放的实现

文章介绍了煤矿现有的调度电话录音系统，设计了调度电话监控上传系统来实现录音文件的上传和调度电话查询系统实现录音文件的查询和远程回放。系统通过输入查询取代了传统的人工查询的工作方式，大大节约了生产调度成本，同时为煤矿人员考勤和定位也提供了准确依据。由于其配置容易、操作方便、实用性高，因此具有很好的维护性和推广性。

硬盘播出系统在南京电视台的应用

介绍了以6节点大规模集群视频服务器为主体的网络化数字硬盘播出系统的构成及其网络拓扑结构,该系统集节目上载与编审、播出、延时、远程上载、数据库管理于一体,具有网络化、数字化、多功能、高可靠性等特点;讨论了网络硬盘播出系统的MediaCluster,RAID2,VSTRM及实时监控与诊断等关键技术。

告警直传与远程浏览在湖北电网的应用

文章介绍了告警直传和远程浏览的功能和实现方式,及其在湖北电网调控一体化改造中的建设模式,讨论了告警直传和远程浏览建设过程中遇到的问题及解决办法。

基于增强设备协议的智能远程监测系统设计

为了解决常用协议无法实现点对点数据透传、协议包较大等问题,实现智能终端与云平台高效、可靠的信息交互,基于增强设备协议设计了智能远程监测系统。该系统通过低功耗MCU控制RS-485接口传感器进行溶氧量和温度信息采集,经由M6312模块进行无线信号传输,通过BP神经网络对溶氧量及控制信号进行预测实现智能控制,采集的信息通过增强设备协议与云平台实现远程交互。采用该协议可实现信息上传、云平台命令下发、点对点数据透传,且协议包数据量小。经过测试,传输相同内容的信息,增强设备协议的数据量小于HTTP、MQTT两种协议。

甜水500kV变电站告警直传和远程图形浏览技术的方案与实现

分析了在国家电网"调控一体化"建设模式背景下,告警直传和远程图形浏览技术在工程实际中的应用。重点介绍了吉林省白城500 kV甜水变电站应用此项技术的具体实施步骤和注意事项,以及工程应用带来的实践意义。

现代家居智能锁防系统设计与实现

针对现有的家居安防系统中,智能化整体水平较低,导致在数据检测、信号处理及远程控制等方面经常出现错误的问题,文中提出一种家居智能锁防系统。该系统通过组建基于ZigBee协议的物联网,无线连接家庭的传感器和智能锁,其检测信息通过ZigBee无线通信模块发送给以STC12为核心的控制主机。若有报警,控制主机将报警信息通过WiFi无线传输模块上传到云端服务器,并在设备返回报警信息时,云端服务器通过数据库调取技术将报警信息发送给用户的手机APP界面,手机APP通过云端服务器的数据接口可远程进行传感器布/撤防、智能开/关锁和报警信息处理等操作。实验结果表明,所提出的家居智能锁防系统能够提高电路的稳定性,并及时准确地处理数据信息,可实现多用户的手机远程智能操作、实时监测和统一管理。

一种天然气巡检系统的软件设计与实现

针对国内生产型企业如何在信息化改革的趋势中,实现低投入、高效率地逐步实现工业生产中的实时监控问题,结合某天然气厂巡检系统的开发过程,讨论了如何综合利用数据库、文件操作、硬件传输与Web等多项技术,完成实际生产中的安全巡检任务。