The rapid advancement of the Internet of Things(IoT)has led to the proliferation of connected devices across various domains,including smart cities,industrial automation,and healthcare.However,interoperability challen...The rapid advancement of the Internet of Things(IoT)has led to the proliferation of connected devices across various domains,including smart cities,industrial automation,and healthcare.However,interoperability challenges arising from heterogeneous communication protocols,diverse data formats,and fragmented standardization efforts hinder the seamless integration of IoT systems.This paper explores the current state of IoT interoperability,analyzing key challenges,existing standardization initiatives,and emerging technological solutions.We examine the role of middleware,gateway solutions,artificial intelligence(AI),blockchain,and edge computing in facilitating interoperability.Furthermore,we provide a comparative analysis of major IoT standards and discuss the potential for greater convergence among standardization efforts.The findings highlight that while significant progress has been made,a unified and widely accepted interoperability framework remains elusive.Addressing these challenges requires collaborative efforts among industry stakeholders,researchers,and policymakers to establish robust and scalable interoperability solutions,ensuring the continued growth and efficiency of IoT ecosystems.展开更多
Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence,particularly during the COVID-19 pandemic.It enables the populatio...Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence,particularly during the COVID-19 pandemic.It enables the population-level monitoring of illicit drug use,pathogen prevalence,and environmental pollutant exposure.In this perspective,we summarize the key challenges specific to the Chinese context:(1)Sampling inconsistencies,necessitating standardized 24-hour composite protocols with high-frequency autosamplers(≤15 min/event)to improve the representativeness of samples.展开更多
The accurate characterization of thermoelectric properties at low temperatures is crucial for the development of high-performance thermoelectric cooling devices. While measurement errors of thermoelectric properties a...The accurate characterization of thermoelectric properties at low temperatures is crucial for the development of high-performance thermoelectric cooling devices. While measurement errors of thermoelectric properties at temperatures above room temperature have been extensively discussed, there is a lack of standard measurement protocols and error analyses for low-temperature transport properties. In this study, we present a measurement system capable of characterizing all three key thermoelectric parameters, i.e., Seebeck coefficient, electrical conductivity, and thermal conductivity, for a single sample across a temperature range of 10 K to 300 K. We investigated six representative commercial Bi_(2)Te_(3)-based samples(three N-type and three P-type). Using an error propagation model, we systematically analyzed the measurement uncertainties of the three intrinsic parameters and the resulting thermoelectric figure of merit. Our findings reveal that measurement uncertainties for both N-type and P-type Bi_(2)Te_(3)-based materials can be effectively maintained below 5% in the temperature range of 40 K to 300 K. However, the uncertainties increase to over 10% at lower temperatures, primarily due to the relatively smaller values of electrical resistivity and Seebeck coefficients in this regime. This work establishes foundational data for Bi_(2)Te_(3)-based thermoelectric materials and provides a framework for broader investigations of advanced low-temperature thermoelectrics.展开更多
随着广播行业对安全播出、智能化和融合媒体需求的不断提升,传统音频工程协会标准3(Audio Engineering Society Standard 3,AES3)、多通道音频数字接口(Multi-channel Audio Digital Interface,MADI)传输架构已难以满足要求。对此,采用...随着广播行业对安全播出、智能化和融合媒体需求的不断提升,传统音频工程协会标准3(Audio Engineering Society Standard 3,AES3)、多通道音频数字接口(Multi-channel Audio Digital Interface,MADI)传输架构已难以满足要求。对此,采用基于网际互连协议的音频(Audio over Internet Protocol,AoIP)传输技术构建传输架构,采用双平面冗余设计方案打造智能广播总控系统。通过搭建冗余AoIP网络、智能化信号路由与监测系统,实现高精度精确时间协议(Precision Time Protocol,PTP)时钟同步,并引入人工智能(Artificial Intelligence,AI)驱动的故障预测算法,有效实现全广播信号的统一管理、智能调度以及安全播出保障。展开更多
文摘The rapid advancement of the Internet of Things(IoT)has led to the proliferation of connected devices across various domains,including smart cities,industrial automation,and healthcare.However,interoperability challenges arising from heterogeneous communication protocols,diverse data formats,and fragmented standardization efforts hinder the seamless integration of IoT systems.This paper explores the current state of IoT interoperability,analyzing key challenges,existing standardization initiatives,and emerging technological solutions.We examine the role of middleware,gateway solutions,artificial intelligence(AI),blockchain,and edge computing in facilitating interoperability.Furthermore,we provide a comparative analysis of major IoT standards and discuss the potential for greater convergence among standardization efforts.The findings highlight that while significant progress has been made,a unified and widely accepted interoperability framework remains elusive.Addressing these challenges requires collaborative efforts among industry stakeholders,researchers,and policymakers to establish robust and scalable interoperability solutions,ensuring the continued growth and efficiency of IoT ecosystems.
基金supported by the National Natural Science Foundation of China(Grant no.42307534)Discovery Project(DP220101790)+1 种基金The University of Queensland ScholarshipAustralian Research Council Discovery Project(DP220101790).
文摘Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence,particularly during the COVID-19 pandemic.It enables the population-level monitoring of illicit drug use,pathogen prevalence,and environmental pollutant exposure.In this perspective,we summarize the key challenges specific to the Chinese context:(1)Sampling inconsistencies,necessitating standardized 24-hour composite protocols with high-frequency autosamplers(≤15 min/event)to improve the representativeness of samples.
基金supported by the National Natural Science Foundation of China (Grant No. 52172259)the National Key Research and Development Program of China (Grant Nos. 2021YFA0718700 and 2022YFB3803900)the Fundamental Research Funds for the Inner Mongolia Normal University (Grant No. 2022JBTD008)。
文摘The accurate characterization of thermoelectric properties at low temperatures is crucial for the development of high-performance thermoelectric cooling devices. While measurement errors of thermoelectric properties at temperatures above room temperature have been extensively discussed, there is a lack of standard measurement protocols and error analyses for low-temperature transport properties. In this study, we present a measurement system capable of characterizing all three key thermoelectric parameters, i.e., Seebeck coefficient, electrical conductivity, and thermal conductivity, for a single sample across a temperature range of 10 K to 300 K. We investigated six representative commercial Bi_(2)Te_(3)-based samples(three N-type and three P-type). Using an error propagation model, we systematically analyzed the measurement uncertainties of the three intrinsic parameters and the resulting thermoelectric figure of merit. Our findings reveal that measurement uncertainties for both N-type and P-type Bi_(2)Te_(3)-based materials can be effectively maintained below 5% in the temperature range of 40 K to 300 K. However, the uncertainties increase to over 10% at lower temperatures, primarily due to the relatively smaller values of electrical resistivity and Seebeck coefficients in this regime. This work establishes foundational data for Bi_(2)Te_(3)-based thermoelectric materials and provides a framework for broader investigations of advanced low-temperature thermoelectrics.
文摘随着广播行业对安全播出、智能化和融合媒体需求的不断提升,传统音频工程协会标准3(Audio Engineering Society Standard 3,AES3)、多通道音频数字接口(Multi-channel Audio Digital Interface,MADI)传输架构已难以满足要求。对此,采用基于网际互连协议的音频(Audio over Internet Protocol,AoIP)传输技术构建传输架构,采用双平面冗余设计方案打造智能广播总控系统。通过搭建冗余AoIP网络、智能化信号路由与监测系统,实现高精度精确时间协议(Precision Time Protocol,PTP)时钟同步,并引入人工智能(Artificial Intelligence,AI)驱动的故障预测算法,有效实现全广播信号的统一管理、智能调度以及安全播出保障。
