随着信息技术的飞速发展,人工智能与物联网(Artificial Intelligence of Things,AIoT)技术逐渐成为工程造价管理领域的新兴力量。文章深入探讨了AIoT技术在施工过程造价实时监控中的应用,旨在通过智能化的数据采集、处理与分析,提升造...随着信息技术的飞速发展,人工智能与物联网(Artificial Intelligence of Things,AIoT)技术逐渐成为工程造价管理领域的新兴力量。文章深入探讨了AIoT技术在施工过程造价实时监控中的应用,旨在通过智能化的数据采集、处理与分析,提升造价监控的效率与准确性,推动工程造价管理的智能化转型,为工程造价管理提供了新的思路和方法。展开更多
With the rapid development of the Artificial Intelligence of Things(AIoT),convolutional neural networks(CNNs)have demonstrated potential and remarkable performance in AIoT applications due to their excellent performan...With the rapid development of the Artificial Intelligence of Things(AIoT),convolutional neural networks(CNNs)have demonstrated potential and remarkable performance in AIoT applications due to their excellent performance in various inference tasks.However,the users have concerns about privacy leakage for the use of AI and the performance and efficiency of computing on resource-constrained IoT edge devices.Therefore,this paper proposes an efficient privacy-preserving CNN framework(i.e.,EPPA)based on the Fully Homomorphic Encryption(FHE)scheme for AIoT application scenarios.In the plaintext domain,we verify schemes with different activation structures to determine the actual activation functions applicable to the corresponding ciphertext domain.Within the encryption domain,we integrate batch normalization(BN)into the convolutional layers to simplify the computation process.For nonlinear activation functions,we use composite polynomials for approximate calculation.Regarding the noise accumulation caused by homomorphic multiplication operations,we realize the refreshment of ciphertext noise through minimal“decryption-encryption”interactions,instead of adopting bootstrapping operations.Additionally,in practical implementation,we convert three-dimensional convolution into two-dimensional convolution to reduce the amount of computation in the encryption domain.Finally,we conduct extensive experiments on four IoT datasets,different CNN architectures,and two platforms with different resource configurations to evaluate the performance of EPPA in detail.展开更多
针对沙滩水域环境复杂且难以有效清洁的问题,综合应用人工智能物联网(Artificial Internet of Things, AIoT)和视觉识别等先进技术,开发了一款具有远程控制、视觉识别、智能抓取、重量检测及智能显示等功能的多功能清洁机器人。该机器...针对沙滩水域环境复杂且难以有效清洁的问题,综合应用人工智能物联网(Artificial Internet of Things, AIoT)和视觉识别等先进技术,开发了一款具有远程控制、视觉识别、智能抓取、重量检测及智能显示等功能的多功能清洁机器人。该机器人专为提升清洁效率和自动化水平设计,配备了远程控制、视觉识别、智能抓取、重量检测及状态显示等功能。采用英伟达Jetson Nano作为核心处理器,结合Intel D415深度相机和基于FloW数据集训练的YOLOv8算法,实现水面漂浮垃圾的实时检测与精确定位。系统通过STM32微控制器解析视觉数据并控制机械臂完成精准抓取。为提高移动性能,机器人采用麦克纳姆轮实现全向运动,当内置称重传感器检测到收集装置满载时,系统可自主返回基地卸载垃圾。此外,系统集成HC-05蓝牙模块实现远程无线控制,并通过OLED显示屏实时显示工作状态。综合应用了AIoT、自动化控制及视觉识别技术,突破了传统清洁方式的局限,显著提升了沙滩水域清洁工作的效率和便捷性,为环保行动提供了强有力的工具。展开更多
研究聚焦于盐城市人工智能物联网(Artificial Intelligence Internet of Things,AIoT)驱动的智慧温室系统开发,旨在通过数字化手段提升草莓种植效能与品质。针对传统种植模式中资源浪费和管理粗放等问题,系统构建了“环境感知-智能调控...研究聚焦于盐城市人工智能物联网(Artificial Intelligence Internet of Things,AIoT)驱动的智慧温室系统开发,旨在通过数字化手段提升草莓种植效能与品质。针对传统种植模式中资源浪费和管理粗放等问题,系统构建了“环境感知-智能调控-管理优化”三位一体解决方案。通过多模态传感器实时监测环境参数,结合OpenHarmony系统的边缘-云端协同处理及规则引擎与机器学习算法,动态调控作物最佳生长环境。实验表明,智慧温室通过高效数据处理与精准恒温调控,提升了草莓产量与品质。展开更多
在数字化转型背景下,传统财务审计模式受限于数据孤岛与流程滞后,难以应对复杂经济场景的需求。研究整合区块链与人工智能物联网(Artificial Intelligence&Internet of Things,AIoT)技术,构建分布式财务审计系统框架。实证分析显示...在数字化转型背景下,传统财务审计模式受限于数据孤岛与流程滞后,难以应对复杂经济场景的需求。研究整合区块链与人工智能物联网(Artificial Intelligence&Internet of Things,AIoT)技术,构建分布式财务审计系统框架。实证分析显示,该系统显著提升审计效率,并借助链上数据不可篡改特性将人为舞弊风险降低至5%以下,尤其在供应链金融与跨国税务稽查场景中展现出强适应性。展开更多
文摘随着信息技术的飞速发展,人工智能与物联网(Artificial Intelligence of Things,AIoT)技术逐渐成为工程造价管理领域的新兴力量。文章深入探讨了AIoT技术在施工过程造价实时监控中的应用,旨在通过智能化的数据采集、处理与分析,提升造价监控的效率与准确性,推动工程造价管理的智能化转型,为工程造价管理提供了新的思路和方法。
基金supported by the Natural Science Foundation of China No.62362008the Major Scientific and Technological Special Project of Guizhou Province([2024]014).
文摘With the rapid development of the Artificial Intelligence of Things(AIoT),convolutional neural networks(CNNs)have demonstrated potential and remarkable performance in AIoT applications due to their excellent performance in various inference tasks.However,the users have concerns about privacy leakage for the use of AI and the performance and efficiency of computing on resource-constrained IoT edge devices.Therefore,this paper proposes an efficient privacy-preserving CNN framework(i.e.,EPPA)based on the Fully Homomorphic Encryption(FHE)scheme for AIoT application scenarios.In the plaintext domain,we verify schemes with different activation structures to determine the actual activation functions applicable to the corresponding ciphertext domain.Within the encryption domain,we integrate batch normalization(BN)into the convolutional layers to simplify the computation process.For nonlinear activation functions,we use composite polynomials for approximate calculation.Regarding the noise accumulation caused by homomorphic multiplication operations,we realize the refreshment of ciphertext noise through minimal“decryption-encryption”interactions,instead of adopting bootstrapping operations.Additionally,in practical implementation,we convert three-dimensional convolution into two-dimensional convolution to reduce the amount of computation in the encryption domain.Finally,we conduct extensive experiments on four IoT datasets,different CNN architectures,and two platforms with different resource configurations to evaluate the performance of EPPA in detail.
文摘针对沙滩水域环境复杂且难以有效清洁的问题,综合应用人工智能物联网(Artificial Internet of Things, AIoT)和视觉识别等先进技术,开发了一款具有远程控制、视觉识别、智能抓取、重量检测及智能显示等功能的多功能清洁机器人。该机器人专为提升清洁效率和自动化水平设计,配备了远程控制、视觉识别、智能抓取、重量检测及状态显示等功能。采用英伟达Jetson Nano作为核心处理器,结合Intel D415深度相机和基于FloW数据集训练的YOLOv8算法,实现水面漂浮垃圾的实时检测与精确定位。系统通过STM32微控制器解析视觉数据并控制机械臂完成精准抓取。为提高移动性能,机器人采用麦克纳姆轮实现全向运动,当内置称重传感器检测到收集装置满载时,系统可自主返回基地卸载垃圾。此外,系统集成HC-05蓝牙模块实现远程无线控制,并通过OLED显示屏实时显示工作状态。综合应用了AIoT、自动化控制及视觉识别技术,突破了传统清洁方式的局限,显著提升了沙滩水域清洁工作的效率和便捷性,为环保行动提供了强有力的工具。
文摘研究聚焦于盐城市人工智能物联网(Artificial Intelligence Internet of Things,AIoT)驱动的智慧温室系统开发,旨在通过数字化手段提升草莓种植效能与品质。针对传统种植模式中资源浪费和管理粗放等问题,系统构建了“环境感知-智能调控-管理优化”三位一体解决方案。通过多模态传感器实时监测环境参数,结合OpenHarmony系统的边缘-云端协同处理及规则引擎与机器学习算法,动态调控作物最佳生长环境。实验表明,智慧温室通过高效数据处理与精准恒温调控,提升了草莓产量与品质。
文摘在数字化转型背景下,传统财务审计模式受限于数据孤岛与流程滞后,难以应对复杂经济场景的需求。研究整合区块链与人工智能物联网(Artificial Intelligence&Internet of Things,AIoT)技术,构建分布式财务审计系统框架。实证分析显示,该系统显著提升审计效率,并借助链上数据不可篡改特性将人为舞弊风险降低至5%以下,尤其在供应链金融与跨国税务稽查场景中展现出强适应性。
