Specific Emitter Identification for IoT Devices Based on Deep Residual Shrinkage Networks

Specific emitter identification can distin-guish individual transmitters by analyzing received signals and extracting inherent features of hard-ware circuits.Feature extraction is a key part of traditional machine learning-based methods,but manual extrac-tion is generally limited by prior professional knowl-edge.At the same time,it has been noted that the per-formance of most specific emitter identification meth-ods degrades in the low signal-to-noise ratio(SNR)environments.The deep residual shrinkage network(DRSN)is proposed for specific emitter identification,particularly in the low SNRs.The soft threshold can preserve more key features for the improvement of performance,and an identity shortcut can speed up the training process.We collect signals via the receiver to create a dataset in the actual environments.The DRSN is trained to automatically extract features and imple-ment the classification of transmitters.Experimental results show that DRSN obtains the best accuracy un-der different SNRs and has less running time,which demonstrates the effectiveness of DRSN in identify-ing specific emitters.

E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

With in-depth development of the Internet of Things(IoT)in various industries,the informatization process of various industries has also entered the fast lane.This article aims to solve the supply chain process problem in e-commerce,focusing on the specific application of Internet of Things technology in e-commerce.Warehousing logistics is an important link in today’s e-commerce transactions.This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology.This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT resource sharing platform based on the three-layer abstract data model and representational state transfer(REST)style.Combining actual IoT applications and the characteristics of an existing platform,a REST-based IoT resource sharing platform is proposed.Combined with actual projects,a REST-based IoT resource sharing platform was built,and key technology experiments were conducted for verification.Finally,optimizing the e-commerce supply chain management process under Internet of Things technology and explaining the advantages of optimized e-commerce supply chain management are discussed.Research on this subject provides a theoretical basis for the application of the Internet of Things in e-commerce and has practical significance and practical value for managing service capabilities and service levels in e-commerce.

基于NB-IoT的城市公园水环境在线监测与治理研究

在现代智慧城市建设的进程中,城市水环境在线监测与治理是非常重要的一环。针对传统监测与清理方法的局限性,基于NB-IoT的应用优势,提出了基于NB-IoT的城市公园水环境在线监测与治理方案。该方案将传感器节点与NB-IoT网络连接,实现了对关键参数如水质和溶解氧等的实时监测;运用配备感知技术和自主导航系统的水面垃圾清理机器人,实现对城市公园水环境的自动监测和水体表面垃圾的清理;此外,利用云计算和大数据分析技术,对监测数据进行处理和分析,使决策者和管理人员能够实时获取和分析水环境信息。通过结合基于NB-IoT的在线监测系统,可以实现数据共享和协同工作,提高治理效率和水环境保护能力。

Automated Identification Algorithm Using CNN for Computer Vision in Smart Refrigerators

Machine Learning has evolved with a variety of algorithms to enable state-of-the-art computer vision applications.In particular the need for automating the process of real-time food item identification,there is a huge surge of research so as to make smarter refrigerators.According to a survey by the Food and Agriculture Organization of the United Nations(FAO),it has been found that 1.3 billion tons of food is wasted by consumers around the world due to either food spoilage or expiry and a large amount of food is wasted from homes and restaurants itself.Smart refrigerators have been very successful in playing a pivotal role in mitigating this problem of food wastage.But a major issue is the high cost of available smart refrigerators and the lack of accurate design algorithms which can help achieve computer vision in any ordinary refrigerator.To address these issues,this work proposes an automated identification algorithm for computer vision in smart refrigerators using InceptionV3 and MobileNet Convolutional Neural Network(CNN)architectures.The designed module and algorithm have been elaborated in detail and are considerably evaluated for its accuracy using test images on standard fruits and vegetable datasets.A total of eight test cases are considered with accuracy and training time as the performance metric.In the end,real-time testing results are also presented which validates the system’s performance.

Analysis of identifiers in IoT platforms

The Internet of Things(IoT)provides new opportunities for different IoT platforms connecting various devices together.The need to identify those devices is the foremost important to perform any kind of operation.Many organizations and standard bodies that provide specifications and frameworks for the IoT currently have their own identification mechanisms.Some existing industrial identification mechanisms can also be used in the IoT.There is no common Identification Scheme(IS)for the IoT as yet,because of the political and commercial differences amongst the standard bodies.The unavailability of a unified IS method makes the inter-working among IoT platforms challenging.This paper analyses and compares ISs used by several selected IoT platforms.This work will help in understanding the need for a common identification mechanism to provide inter-working among different IoT platforms.

基于IOT的生猪智能养殖集成系统设计

随着生猪饲喂技术从机械化向自动化、智能化方向的发展,国内劳动密集型生猪养殖方法逐渐被智能养殖设备替代。我国在生猪智能化饲喂设备方面起步较晚,而国外的智能饲喂设备价格昂贵且不符合我国养猪业“小聚集”的现状。基于此,本文研究设计了一套基于IOT的生猪智能养殖集成系统。该系统主要包括电子识别与精准饲喂系统和猪舍环境监控系统。精准饲喂设备可以根据RFID射频识别出猪的身份ID号实现个体差异化的精准投料,同时为进食猪只提供全封闭的采食环境;猪舍环境监控系统能够实时监控猪舍环境变化,调控猪只生活环境。试验表明,该系统能够实现生猪的精准饲喂和猪舍环境的有效改善,满足群养生猪个体精准饲喂的设计要求。

物联网设备识别及异常检测研究综述

随着物联网技术的发展,物联网设备广泛应用于生产和生活的各个领域,但也为设备资产管理和安全管理带来了严峻的挑战.首先,由于物联网设备类型和接入方式的多样性,网络管理员通常难以得知网络中的物联网设备类型及运行状态.其次,物联网设备由于其计算、存储资源有限,难以部署传统防御措施,正逐渐成为网络攻击的焦点.因此,通过设备识别了解网络中的物联网设备并基于设备识别结果进行异常检测,以保证其正常运行尤为重要.近几年来,学术界围绕上述问题开展了大量的研究.系统地梳理物联网设备识别和异常检测方面的相关工作.在设备识别方面,根据是否向网络中发送数据包,现有研究可分为被动识别方法和主动识别方法.针对被动识别方法按照识别方法、识别粒度和应用场景进行进一步的调研,针对主动识别方法按照识别方法、识别粒度和探测粒度进行进一步的调研.在异常检测方面,按照基于机器学习算法的检测方法和基于行为规范的规则匹配方法进行梳理.在此基础上,总结物联网设备识别和异常检测领域的研究挑战并展望其未来发展方向.

一种基于ViT改进的轻量化恶意流量识别方法

随着物联网技术的广泛应用,针对物联网设备计算和存储能力受限的特性,设计一种高精度、轻量化的恶意流量识别方法,对于保障物联网设备的安全具有重要意义.本文提出一种基于会话中数据包的灰度图片转换方法(Packets in a Session to Grayscale Image,PS2GI)用来生成以原始流量数据构建的灰度图片,同时提出一种基于简化混合VisionTransformer(Simplified Hybrid Vision Transformer,SHViT)深度学习模型中的注意力机制的方式用来实现高精度、轻量化的恶意流量识别方法.实验结果表明,使用SHViT模型在IoT-23数据集上对比ViT模型在多分类情况的准确率降低0.17%,达到99.70%,模型的推理时间增加33.8%,达到6.37ms,但是模型的参数量降低68.1%,达到3.06M,同时模型的计算量降低41.7%.

基于物联网技术的智能停车场系统设计

近些年来,停车场需求日益增大,许多国家致力于停车场管理系统的研究。但旧式的停车场管理方式需耗费大量人力、运转不科学并且大部分的停车场都不能及时查看车位信息。为解决这些问题,设计并实现了智能停车场系统。该系统的核心模块采用STM32,利用射频识别(RFID)模块实现停车场出入,采用重力系统监控停车位的实时使用情况,并通过蓝牙无线模块实现STM32与APP的通信。其中APP可以显示车位情况,通过出入2次刷卡的间隔计算停车时长与费用。经测试,发现该系统运行良好,能够为停车场的使用者提供更加便利的服务。

基于图像识别和物联网技术的开关柜智能终端研究

在新型电力系统建设目标和电力设备数字化智能化发展趋势下,对当前的开关柜智能终端进行了改进。优化了温度监测和机械特性的评估算法,引入了图像识别和物联网技术,增加了手车和地刀的操作视频联动和位置双确认,以及开关柜多状态一键切换的顺序控制功能。同时,采用国产化的T3芯片以及硬件平台化、软件App化设计,降低了硬件成本和软件开发成本。通过在开关柜上部署智能终端及配套的传感设备,进行了功能验证。结果表明,改进后的智能终端功能更加完备,进一步提高了开关柜的智能运维水平。

Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

This paper presents an approach to recursively estimate the simplest linear model that approximates the time-varying local behaviors from imperfect(noisy and incomplete) measurements in the internet of things(IoT) based distributed decision-making problems. We first show that the problem of finding the lowest order model for a multi-input single-output system is a cardinality(l0) optimization problem, known to be NP-hard.To solve the problem a simpler approach is proposed which uses the recently developed atomic norm concept and the modified Frank-Wolfe(mFW) algorithm is introduced. Further, the paper computes the minimum data-rate required for computing the models with imperfect measurements. The proposed approach is illustrated on a building heating, ventilation, and air-conditioning(HVAC) control system that aims at optimizing energy consumption in commercial buildings using IoT devices in a distributed manner. The HVAC control application requires recursive thermal dynamical model updates due to frequently changing conditions and non-linear dynamics. We show that the method proposed in this paper can approximate such complex dynamics on single-board computers interfaced to sensors using unreliable communication channels. Real-time experiments on HVAC systems and simulation studies are used to illustrate the proposed method.

RFID-based Production Data Analysis in an IoT-enabled Smart Job-shop

Under industry 4.0, internet of things(IoT), especially radio frequency identification(RFID) technology, has been widely applied in manufacturing environment. This technology can bring convenience to production control and production transparency. Meanwhile, it generates increasing production data that are sometimes discrete, uncorrelated, and hard-to-use. Thus,an efficient analysis method is needed to utilize the invaluable data. This work provides an RFID-based production data analysis method for production control in Io T-enabled smart job-shops.The physical configuration and operation logic of Io T-enabled smart job-shop production are firstly described. Based on that,an RFID-based production data model is built to formalize and correlate the heterogeneous production data. Then, an eventdriven RFID-based production data analysis method is proposed to construct the RFID events and judge the process command execution. Furthermore, a near big data approach is used to excavate hidden information and knowledge from the historical production data. A demonstrative case is studied to verify the feasibility of the proposed model and methods. It is expected that our work will provide a different insight into the RFIDbased production data analysis.

基于文件分时索引的大规模流量实时IoT终端识别算法

随着5G时代的来临,诸如工业区,校园网等开放性园区网络中存在大量的物联网(Internet of Things,IoT)终端,IoT终端由于其数据流量巨大,伪造IoT终端进行网络攻击的问题日益严重.现有IoT终端识别技术在面对海量数据时计算资源的成本逐渐提高.针对以上问题,提出了基于文件分时索引的大规模流量实时IoT终端识别算法.首先,建立内存分时索引元数据;其次,使用文件的分时索引来存储构建会话的中间数据;最后,控制内存分时索引元数据触发从少量文件中提取特征并进行IoT终端识别.实验中,在不损失IoT终端识别算法精度条件下,仅消耗少量磁盘,可将内存消耗降低92%.实验结果表明,该技术能够用于实时IoT终端识别框架中.

A Review of Identity Methods of Internet of Things (IOT)

The Internet of Things (IOT) is a recent technology originating from the field of sensor networks. It has received significant attention because it is involved in most aspects of our daily lives. The IOT vision makes objects of various kinds become part of the Internet by assigning each object a unique identifier, enabling objects to communicate with each other in the same or different environments. IOT can collect, process, and exchange data via a data communication network. There are many methods for identifying objects;some have existed since the beginning of IOT innovation, such as Radio Frequency Identification (RFID), Barcode/2D code, IP address, Electronic Product Codes (EPC), etc. Continuous development in IOT domain and the large number of objects connected to the Internet daily require an improved identification method to cope with the rapid development in this field. Many modern methods have been proposed recently, based on various technologies such as computer vision, fingerprinting, and machine learning. This paper introduces an overview of IOT and discusses its fundamental elements;it mainly focuses on identification of IOT which is considered the main part that the IOT systems rely on. The paper discusses the existing identification methods for IOT. Moreover, it provides a review of the modern identification methods proposed in recent literature.

基于物联网的电子装备组装线信息化管控设计与实现

针对混合装配模式下数据信息割裂、组装过程实时监控困难以及产品质量难以追溯等问题,构建了装配过程追溯物联网,实现了组装资源的全面感知、智能识别和全流程追踪。在此基础上,搭建了物联网环境下的电子装备组装线信息化管控系统技术架构,并结合多种感知技术设计了组装线信息化管控系统,优化各种组装资源的规划、配置和调度,实现精准、实时和智能的监控,并通过某组件组装线成功验证其可行性,为军工企业以及其他制造企业的信息物联管控建设提供了有力的支撑和参考,具有显著的推广应用价值。

基于指纹识别的人为开启电梯层门监控装置设计

为了能对开启电梯层门的人员进行身份识别、监控并进行信息的自动记录,设计了一种基于指纹识别的人为开启电梯层门监控装置。该装置在采用指纹识别采集开锁人员身份信息的基础上,通过LoRa技术实现电梯层与层之间组网,将采集的信息与管理模块的信息比对;利用NB-IoT全网通模块记录采集的信息,上传至云端服务器;最终核实成功方可人为开启电梯层门,否则报警模块发出报警信号。经过测试,该装置可实现开锁人员身份信息的识别核对,此外能够在云端存储并查询所记录的信息,达到监控的目的,在电梯的安全使用及使用信息自动记录等方面具有重大意义。

面向设备编码扩张的电力物联数据编码规范互通系统设计

传统电力物联数据编码规范互通无法解决设备编码扩张问题,导致编码规范互通检测的效率与准确度均偏低。为此,提出新的电力物联数据编码规范互通系统设计方法。构建电力物联数据编码状态参数融合模型,采用功率增益补偿方法实现数据编码的自适应控制,采用设备编码控制和线性融合识别方法解析参数。采用电热联合系统调节方法设计电力物联数据编码密钥,通过刚性耦合限制性调节,实现编码规范互通控制,采用物理设备参数调节法,实现编码规范性参数辨识和负荷特征分析,提高电力物联数据编码规范互通检测能力。仿真结果表明,采用该方法进行电力物联数据编码规范互通检测的效率和准确度较高,提高了电力物联数据的安全性。

射频识别和物联网技术下的智能电子标签的设计

为确保水质监测结果的真实性、科学性和可比性,结合射频识别技术(RFID)和物联网技术,根据采样现场情况,设计研发1种由保温采样箱、车载网关、温度监测器和无线云标签等硬件组成,可实现采样点位的确认功能,同时还具备开箱报警、全程轨迹记录、全程温度监控功能的水质采样样品电子标签。15次的应用稳定性测试结果表明,各设计功能的应用比较稳定,基本零误差,可有效避免运输过程中的人为干扰和外界污染,确保水质样品的采集、运输以及保存工作的准确性。

计算机图像处理与识别技术在机电设施物联网系统中的应用

随着信息化进程的加快,计算机技术在社会上的应用日益广泛。目前的计算机图像处理和识别技术与传统的技术相比,其在实际应用中有着明显的优越性。文章对计算机图像处理和识别技术在机电设施物联网系统中的应用进行了探讨,以期对我国电子信息领域的发展有一定的参考价值。

物联网技术的智能化应用

阐述物联网技术发展的特点,物联网的体系结构,物联网的应用与展望,在物联网中,通过射频识别、红外感应器与全球定位系统,实现实时监测环境、物体状况在许多场景中都能有所应用。