Research on the intelligent internet nursing model based on the child respiratory and asthma control test scale for asthma management of preschool children

BACKGROUND Childhood asthma is a common respiratory ailment that significantly affects preschool children.Effective asthma management in this population is particularly challenging due to limited communication skills in children and the necessity for consistent involvement of a caregiver.With the rise of digital healthcare and the need for innovative interventions,Internet-based models can potentially offer relatively more efficient and patient-tailored care,especially in children.AIM To explore the impact of an intelligent Internet care model based on the child respiratory and asthma control test(TRACK)on asthma management in preschool children.METHODS The study group comprised preschoolers,aged 5 years or younger,that visited the hospital's pediatric outpatient and emergency departments between January 2021 and January 2022.Total of 200 children were evenly and randomly divided into the observation and control groups.The control group received standard treatment in accordance with the 2016 Guidelines for Pediatric Bronchial Asthma and the Global Initiative on Asthma.In addition to above treatment,the observation group was introduced to an intelligent internet nursing model,emphasizing the TRACK scale.Key measures monitored over a six-month period included the frequency of asthma attack,emergency visits,pulmonary function parameters(FEV1,FEV1/FVC,and PEF),monthly TRACK scores,and the SF-12 quality of life assessment.Post-intervention asthma control rates were assessed at six-month follow-up.RESULTS The observation group had fewer asthma attacks and emergency room visits than the control group(P<0.05).After six months of treatment,the children in both groups had higher FEV1,FEV1/FVC,and PEF(P<0.05).Statistically significant differences were observed between the two groups(P<0.05).For six months,children in the observation group had a higher monthly TRACK score than those in the control group(P<0.05).The PCS and MCSSF-12 quality of life scores were relatively higher than those before the nursing period(P<0.05).Furthermore,the groups showed statistically significant differences(P<0.05).The asthma control rate was higher in the observation group than in the control group(P<0.05).CONCLUSION TRACK based Intelligent Internet nursing model may reduce asthma attacks and emergency visits in asthmatic children,improve lung function,quality of life,and the TRACK score and asthma control rate.The effect of nursing was significant,allowing for development of an asthma management model.

A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing

The Autonomous Underwater Glider(AUG)is a kind of prevailing underwater intelligent internet vehicle and occupies a dominant position in industrial applications,in which path planning is an essential problem.Due to the complexity and variability of the ocean,accurate environment modeling and flexible path planning algorithms are pivotal challenges.The traditional models mainly utilize mathematical functions,which are not complete and reliable.Most existing path planning algorithms depend on the environment and lack flexibility.To overcome these challenges,we propose a path planning system for underwater intelligent internet vehicles.It applies digital twins and sensor data to map the real ocean environment to a virtual digital space,which provides a comprehensive and reliable environment for path simulation.We design a value-based reinforcement learning path planning algorithm and explore the optimal network structure parameters.The path simulation is controlled by a closed-loop model integrated into the terminal vehicle through edge computing.The integration of state input enriches the learning of neural networks and helps to improve generalization and flexibility.The task-related reward function promotes the rapid convergence of the training.The experimental results prove that our reinforcement learning based path planning algorithm has great flexibility and can effectively adapt to a variety of different ocean conditions.

I^2oT: Advanced Direction of the Internet of Things

The Internet of Things （IoT） is still in its infancy because of the limited capability of its embedded processor. In the meantime, re- search on artificial intelligence （AI） has made plenty of progress. The application of AI to loT will significantly increase the capa- bilities of IoT, and this will benefit both economic and social development. In this paper, the elementary concepts and key tech- nologies of AI are explained, and the model and principle of intelligent IoT, denoted I^2oT, resulting from the integration of AI and loT are discussed. I^2oT will be the most promising version of IoT. Finally, recommendations for further study and standardization of I2oT are made.

A One-Time Pad Encryption Scheme Based on Efficient Physical-Layer Secret Key Generation for Intelligent IoT System

The one-time pad(OTP)is an applicationlayer encryption technique to achieve the informationtheoretic security,and the physical-layer secret key generation(SKG)technique is a promising candidate to provide the random keys for OTP.In this paper,we propose a joint SKG and OTP encryption scheme with the aid of a reconfigurable intelligent surface(RIS)to boost secret key rate.To maximize the efficiency of secure communication,we divide the process of secure transmission into two stages:SKG and then encrypted packet transmission.Meanwhile,we design an optimal algorithm for allocating time slots for SKG to maximize SKG efficiency without security risk.Furthermore,we design a key updating protocol based on our SKG scheme for OTP encryption.Simulation results verify that our scheme can generate keys securely and efficiently,and significantly improve the secure communication performance in an intelligent IoT system.

Internet上基于多Agent的智能学习过程研究

随着Internet技术和现代远程教育的飞速发展,基于Internet的远程教学已经成为了现代远程教育研究的热点.但是,目前大多数的远程教学系统仍然是沿用传统的学习方式,其整个学习过程缺乏智能性和协同性.文章将计算机人工智能中的Agent技术引入到远程教学环境的研究中来,并重点分析和研究了Internet上基于多Agent的智能学习的过程.

大智移云时代面向新财经会计人才培养体系生态系统的构建

随着“四新”建设的推进,“新财经”已然成为大智移云的新时代财经教育的关键着力点。大智移云时代财务工作发生了颠覆性变革,跨界融合是必然趋势。文章探讨当前会计人才培养面临的新挑战,会计学科如何紧跟时代步伐,构建一个多学科跨界融汇和多要素互动融通新财经会计人才培养体系生态系统,以适应大智移云时代对财经会计人才的需求。

浅谈物联网技术发展趋势

在以数据和连通性为核心的现代工业时代,物联网(IoT)技术正成为推动工业发展、提高效率和安全性的关键动力。尤其在石油行业,通信和定位技术成为远程监控、资产管理、员工安全和运营流程优化的基石。然而,物联网在通信和定位方面面临诸多挑战,如信号干扰和定位精确度问题。本文旨在阐述物联网技术如何通过创新应对挑战,以期提升石油行业的效率和安全性,同时推动该行业向更智能化和自动化的方向发展。

Using Artificial Intelligence in the Internet of Things

The Internet of Things （IoT） has received much attention over the past decade. With the rapid increase in the use of smart devices, we are now able to collect big data on a daily basis. The data we are gathering （and related problems） are becoming more complex and uncertain. Researchers have therefore turned to artificial intelligence （AI） to efficiently deal with the problems ereated by big data.

Automobile Industry Ushers in Reform and Internet of Intelligences

In recent years,electric vehicles have become popular a mong national governments,sectors and the general public.During January to October of 2017,the production output of China’s new energy vehicles had surpassed 0.5 million units,up over 45%year-on-year.Furthermore,the production output of the whole year is expected to reach 0.7 million units.

Special Issue on Using Artificial Intelligence in Internet of Things Guest Editors: Fuji Ren, Yu Gu

Interact of Things has received much attention over the past de cade. With the rapid increase in the use of smart devices, we are now able to collect big data on a daily basis. The data we are gather ing and related problems arc becoming more complex and uncer tain. Researchers have therefore turned to AI as an efficient way of dealing with the problems created by big data.

ZTE Communications Call for Papers Special Issue on Using Artificial Intelligence in Internet of Things

Internet of Things has received much attention over the past de- cade. With the rapid increase in the use of smart devices, we are now able to collect big data on a daily basis. The data we are gather- ing and related problems are becoming more complex and uncer- tain. Researchers have therefore turned to AI as an efficient way of dealing with the problems created by big data. This special issue of ZTE Communications will be dedicated to development, trends, challenges, and current practices in artificial intelligence for the Internet of Things. Position papers, technology overviews, and case studies are all welcome. Appropriate topics include but are not limited to：

“大智移云”背景下高职审计课程改革探究

2010年以来,“大智移云”等新技术呈现爆发态势,促使信息技术加速迭代、商业模式日新月异、生产消费方式习惯脱胎换骨,这意味着经济社会急需进行全方位、多角度、深层次的改革与重塑。会计(含审计)作为经济社会的一项制度安排和有效的管理工具,在面对新经济时代的机遇和挑战时,不应因循守旧、踌躇徘徊,而应与时俱进,在理论、理念、体系、方法上不断改革、创新、拓展。本文通过分析当今社会对审计助理的需求,基于“大智移云”背景,从审计课程体系、教学手段和方法、教学模式、考核评价体系等四个方面对高职审计课程改革进行探究,以培养适应新时代发展要求的审计人才。

大智移云背景下企业财务数智化转型路径研究

在“大智移云”时代背景下,大数据、云计算、人工智能、物联网等新一代信息技术迅速发展,并与各行各业进行了深度融合,不仅带动了企业财务管理数字化转型的全面升级,也给企业财务管理带来了新的机遇与挑战。文章以“大智移云”背景下企业财务数智化转型为研究对象,从财务数智化的背景与转型必要性出发,分析财务数智化转型“三大进程”的整体规划,并基于此从确定财务数智化平台建设目标、围绕“五化”推动财务数智化转型两大方面提出了企业财务数智化转型的路径,以期为推动企业财务数智化转型提供参考。

高校智慧化计算机实验室的构建

智能化是未来计算机实验室的关键特征,运用计算机通信技术、物联网、云计算、大数据等规范高校计算机实验室的仪器设备管理、教学实践、数据统计分析等相关工作,能为学生提供更好的实验、科研和教学服务,促进实验教学创新并培养学生的创新能力。基于物联网和互联网技术的智慧化计算机实验室建设,应考虑硬件设备、软件平台、云计算资源、人员培训等多方面需求和要求,以确保计算机实验室的安全运行。将物联网技术等引入高校计算机实验室建设,可以提升计算机实验室的设备管理效率、教学水平和运行效率,促进计算机实验室的智能化、数字化和网络化,有助于提高高校的教学科研水平和培养高素质的计算机管理人才。

柔性配电网的双向换流融合设备关键技术设计

在适用于模块化的DC/DC双向换流器和AC/DC双向换流器的主电路拓扑结构下,分析柔性配电网提供即插即用的交直流接口等功能。针对系统内部多接口换流器并联于内部直流母线上和外部每一条功率链路连接于两个互联接口换流器的特点,设计系统物理组成要素。利用电力电子变换器的隔离单元和电力电子器件本身的开关特性,设计通信结构。经过试验,验证了所提方法具有突出的技术优势和较高的自动化检测能力。

中国农工城固体废弃物全流程智慧管理研究进展

我国农业、工业和城市固体废弃物具有量大面广的特点,并表现出资源与污染的双重属性,亟需建立上述固废全生命周期的监管、处置和利用体系。鉴于此,固废全流程智慧管控策略应运而生并受到广泛关注。首先对全流程智慧管理进行概述,随后便依次对其在农业、工业和城市固废中的研究或应用现状进行了较为全面的梳理和评述。最后,从相关政策、主体和技术三个层面对固废全流程智慧管控策略的推广与优化提出了合理化建议,有望为固废精准监管与科学消纳,乃至乡村振兴、经济高质量发展和生态文明建设提供有价值的参考。

5G时代的物联网发展与技术分析

物联网(Internet of Things,IoT)技术是我国大力发展的新兴技术,合理运用物联网技术可以大幅提高工作效率,节省成本。文章对物联网的发展和最新的技术展开探讨,以期能够对我国的物联网技术系统研究贡献力量。

基于物联网的智能环保电动车充电桩系统设计

“低碳出行”理念日益盛行,电动车因经济、环保等特点被广泛使用。为解决其传统充电桩效率低下及安全隐患问题,本文设计基于物联网的智能环保电动车充电桩系统。通过智能终端建立产业链平台,提供便捷高效的云服务,满足当下电动车充电需求,并推动可持续发展,同时为环境保护和公共安全做出贡献。

物联网大数据技术赋能横州市茉莉花产业高质量发展

横州市是世界茉莉花和茉莉花茶生产中心,是全球最大的茉莉花生产基地和茉莉花茶加工基地,但由于花农普遍缺乏科学的栽培管理和病虫害防治技术,极大地影响了茉莉花的产量和品质。文章分析了横州市茉莉花实际生产过程中存在的问题,并结合物联网大数据技术对茉莉花产业数字化的有效应用研究,提出提升横州市茉莉花种植的信息化、数字化、智能化水平的有效解决方案,促进横州茉莉花产业高质量发展。

基于物联网与移动互联网的医院后勤智能运维平台建设与应用

医院后勤信息化建设通过物联网、移动互联网等新技术手段,已迈入智能化阶段。上海市儿童医院历经4年医院后勤智能运维平台建设,通过"一平台、两系统"实现了后勤智能化管理与综合运维管理的全方位整合,从而将医院后勤保障与服务有机结合成一个整体,有效提升了医院后勤管理效能,对医院后勤智能化运维作出了有益的探索和实践。