Infrared detector is a device that can detect infrared signals on the surface of objects and convert them into electrical signals, which has been widely used in military and industrial fields such as the Internet of Things, communications, guidance, thermal imaging, and surveillance. Using the black body as the calibrator, it can test the parameters of the infrared detector and detect whether the performance indicators of the infrared detector meet the standard. This article describes a test system that uses NI Virtual Instruments and LabVIEW Software to test the performance of infrared detectors. The system provides the bias voltage and signal required for detector performance testing, and data acquisition. At the same time, a method for measuring the DC level, noise, response rate, noise equivalent temperature difference, normalized detection rate and bad pixel of the detector by using the system is given. Finally, the influencing factors of the test results were analyzed to provide reference for related research.
Given the widespread availability of multi-view data in the real world, multi-view Fuzzy C-Means clustering (FCM) has garnered significant attention in recent years, leading to the development of various multi-view fuzzy clustering algorithms. However, existing algorithms still exhibit room for improvement. Firstly, most existing algorithms only utilize the shallow information of the view data and fail to delve into the mining and utilization of deeper representations. Secondly, existing algorithms tend to extract common representations among the views first and then implement clustering separately, which may lack a collaborative linkage between representation learning and the clustering task. Lastly, multi-view clustering algorithms based on representation learning often overlook the importance of effectively preserving similarity information within the views. To address these limitations, we propose a novel algorithm called Pseudo-Label Enhanced Multi-View Deep Concept Factorization Fuzzy Clustering (PE-MV-DCFCM). The algorithm first introduces a deep concept factorization method to uncover the deep information of the view data. Subsequently, it employs pseudo-label learning to preserve intra-view similarity information during the learning of common representations among the views, based on non-negative matrix factorization (NMF). Finally, this algorithm integrates deep concept factorization, representation learning, and fuzzy clustering into a unified framework to enhance the collaboration among the various sub-steps of the algorithm. Experiments on several benchmark datasets show that the proposed PE-MV-DCFCM algorithm outperformed other state-of-the-art algorithms.
The traditional teaching effect evaluation system lacks the application of potential evaluation data of medical online teaching, resulting in incomplete statistics of teaching evaluation data. Therefore, a medical online teaching effect evaluation system based on data mining technology is designed. In terms of hardware, Network Attached Storage（NAS） file storage and digital signal processor chip are used as the main body of hardware. In terms of software, the information collection and editing module is designed, and the data mining technology is used to mine and process the collected information to obtain the potential evaluation information. The teaching effect is evaluated with reference to the potential evaluation information and evaluation criteria, and the teaching effect is statistically analyzed according to the audit results, and finally the teaching evaluation analysis chart is output. The test results show that the system has good performance and can accurately evaluate the effect of medical online teaching.
文章基于《中国统计年鉴》公布的数据,通过建立反向传播(Back Propagation,BP)神经网络预测算法,使用多项式拟合算法模型和修正的Logistic模型两种算法进行对比,对2030年的人口进行预测.预测数据结论表明,3种算法预测的人口总数同国家人口发展报告预测的人口总数相比,其绝对误差均在误差范围内.其中,误差最小的是BP神经网络预测模型,该模型预测2030年总人数为14.33亿,绝对误差为0.006.
随着时代的发展,我国的科学技术水平明显提升,尤其是无人机技术,已广泛应用在各行各业中.同时,随着通信技术的持续发展,5G网络能够提供更加快速的数据传输支持,4K高清数据传输逐渐成为现实.基于此,在分析海上作业需求的基础上,分析了无人机搭载宽带5G通信技术在海上作业中的应用,同时进行了可用性测试,希望能够为相关研究提供理论支持.
室内定位技术的快速发展对基于超宽带(Ultra Wide Band,UWB)的定位技术提出了更高的要求.然而,在室内环境中,受多种障碍及外界扰动影响,超宽带信号通常位于非视距(Non Line of Sight,NLoS)背景下.因此,文章对NLoS中的UWB目标跟踪与位置问题进行了研究.首先阐述了 UWB技术,其次提出了 一种基于到达时间差(Time Delay of Arrival,TDoA)的UWB室内定位加权算法,以解决NLoS环境下UWB室内定位算法精度较低、定位误差较大的问题,最后设计了相关实验进行验证.相关比较和模拟实验结果表明,提出的方法能够较好地改善非视距条件下的定位精度,并且具有较好的定位效果.
Cloud computing, as a shared pool model, reduces the cost of government and enterprise informatization construction, while computing resources that can be accessed on demand at any time lower the threshold of informatization for enterprises. This paper explains the characteristics of cloud computing technology, analyzes its application in the field of integration and e-government, discusses government cloud development application countermeasures, and gives the future development direction of cloud computing services in smart cities. Cloud computing technology in the construction of smart cities will have a far-reaching impact, providing a technical guarantee for solving the sharing and application of urban data and information, avoiding many duplicate construction problems, and improving the office efficiency of government and enterprises.
随着云计算服务应用的不断深入,数据存储的安全问题引起了用户的高度关注.为确保数据在网络服务器上的存储安全性,存储加密技术被广泛的应用.基于此,提出云计算环境下的数据储存安全技术问题.通过理论知识分析云计算与云存储的架构,了解云计算与云存储的关系,针对数据存储安全现状提出混合加密解密技术,弥补单独使用对称加密和非对称加密的不足.结果证明:混合加密解密技术兼顾了数据存储安全性与传输效率,是一种解决数据存储安全问题的可行性方案.
针对常规高校大学生留省就业信息管理系统易受占用率变化影响,导致系统部分功能异常的问题,提出一种基于Web的高校大学生留省就业信息管理系统.硬件部分设计了嵌入式微处理器及BCNB Flash存储器.软件部分构建了信息管理逻辑分层布局架构,设计了就业信息管理功能模块,从而实现了高校大学生留省就业信息管理.系统测试结果表明,设计的高校大学生留省就业信息管理系统的功能模块运行正常,有一定的应用价值.
文章主要讨论了移动互联网时代背景下,赛事直播在电竞和体育领域中采用的不同传输协议及其适用性.具体比较了网页实时通信(Web Real-Time Communications,WebRTC)、超文本直播流(Hyper Text Transfer Protocol Live Streaming,HLS)、低延迟超文本直播流(Low Latency Hyper Text Transfer Protocol Live Streaming,LL-HLS)、基于超文本传输协议的 Flash 视频协议(HyperText Transfer Protocol Flash Video,HTTP-FLV)、基于 HTTP 的动态自适应流媒体传输协议(Dynamic Adaptive Streaming over HTTP,DASH)和低延迟基于超文本传输协议的动态自适应流媒体传输协议(Low Latency Dynamic Adaptive Streaming over HyperText Transfer Protocol,LL-DASH)传输协议,分析了这些协议在电竞体育赛事场景下的延迟和终端支持情况,并结合实际例子探讨传输架构及其影响.研究结果表明,不同的传输协议有各自的优缺点,可在不同场景下应用.而对于常规赛转播,传输架构也是决定延迟的重要因素,分布式传输架构能够更好地实现低延迟和稳定性.因此,文章对于选择合适的传输协议和传输架构具有一定的借鉴意义.
利用遥感影像对农作物进行分类从而获取不同作物的空间分布,对农作物估产和农业政策制定等具有重要意义.由于不同农作物之间存在异物同谱或同物异谱的现象,从单一时相的影像中很难获得准确的作物分类结果.基于此,以河北省定州市的某农场为研究对象,首先利用哨兵1号(Sentinel-1)影像的后向散射系数进行预分类,其次利用哨兵2号(Sentinel-2)影像构建归一化植被指数(Normalized Difference Vegetation Index,NDVI)时间序列进行分析,最后采用支持向量机(Support Vector Machine,SVM)对哨兵2号影像进行分类.
为提高数据加密效率,设计一种针对计算机网络安全的数据加密方法.提取通信链路节点,圈定虚拟矩形,将圈定的区域作为计算机网络数据通信虚拟区域,根据矩形的边数,选择4个方向上的随机顶点作为计算机网络数据通信虚拟区域顶点,建立一个针对此虚拟通信区域的二维平面坐标;建立一个计算机网络对端通信场景,计算数据通信链路损失量;引进模糊判定理论,设计计算机网络数据的加密传输.实验结果表明,设计的加密方法应用效果良好,该方法可以缩短网络中数据传输加密耗时,从而提高数据加密的效率.
心脏病是一类高发病率、高死亡率的疾病,及时且准确地诊断心脏病有利于为患者争取更多的治疗时间,提高患者的康复概率并减少危险.选用UCI提供的心脏病数据集作为实验数据,提出了基于遗传算法(Genetic Algorithm,GA)优化支持向量机(Support Vector Machine,SVM)的心脏病诊断模型GA-SVM.实验结果表明,GA-SVM的分类准确率较高,相较于其他机器学习模型而言具有更强的预测与泛化能力.
云计算已成为近年来的研究热点,其通过虚拟化等技术构建统一的资源池,屏蔽底层资源细节,从而达到提高设备利用率、节能减排、快速部署业务等目的.基于此,分析云计算环境下的资源调度问题.首先,介绍了云环境下资源调度的背景和研究现状,对资源调度器的演进、Kubernetes容器云平台、弹性伸缩理论进行了阐述;其次,研究了云资源弹性伸缩调度方案;最后,指出基于Kubernetes的资源调度存在的问题.
针对传统仿真教学系统响应时间长的问题,提出基于虚拟现实的财务管理课程仿真教学系统.硬件上设计了核心控制芯片和教学数据采集器;软件上利用虚拟现实技术计算单个物体在虚拟场景中的参数,构建虚拟的教学环境,再通过对编码数据的转化,计算学生瞳孔的变化轨迹,实现人机交互教学.在实验测试中,设计的仿真教学系统的响应延迟时间为160.8 ms,运行性能良好.
针对常规教学资源共享系统存在响应时间较长和丢包率较大的问题,提出基于云计算的产学研模式教学智能共享系统.硬件设计方面,设计了共享信息微处理器和智能数字传感器;软件设计方面,在云计算技术的支持下,将接收的教学数据按照教学资源属性进行分级处理,确保教学资源的完整性,实现了资源共享.实验结果表明,该系统的响应时间更短,丢包率更低,具有更高的应用价值.
农产品溯源系统在保障食品安全方面发挥着重要作用,能够实现对农产品的质量监控.区块链技术的出现,为农产品溯源系统的开发和应用提供了新的解决方案.基于此,对当前市场上主要的区块链开发平台进行比较研究,以期为相关研究提供借鉴.
针对物联网数据节点因缺少可信性验证导致传输安全性较差的问题,研究一种可信移动节点接入认证技术.首先,在设计技术架构的基础上,拼接并生成身份标识;其次,完成初始化操作后,提取密钥,完成移动节点与终端节点的双向认证与接入;最后,进行实验分析.测试结果表明:针对50组可信移动节点,利用本文方法安全接入认证的延迟时间较短,接入认证的成功率较高;针对50组非可信移动节点,利用本文方法验证并完成阻拦的成功率也较高,说明本文方法能够为物联网通信网络的稳定运行提供技术支持.
传统的延迟容忍网络数据传输机制一般为单方向的,传输速度较慢.因此,设计基于5G通信技术的延迟容忍网络数据传输方法.首先,制定网络数据传输协议,采用多目标的形式提升传输的速度.其次,构建5G通信延迟容忍网络数据传输模型,并采用SM4加密处理实现数据传输.最后,进行对比测试表明:相比于传统方法,设计方法传输的网络数据数据条数更多,即设计方法的传输效率更高.
In order to reduce the R＆D cost and be compatible with the parsing of different types of Structured Query Language（SQL） languages, a new SQL parser based on Antlr4 based on traditional SQL syntax is proposed. It has been verified that the SQL parser is compatible with MySQL, Spark SQL, and Postgres, and has high practical application value
