The Symbiotic Relationship Unraveling the Interplay between Technology and Artificial Intelligence(An Intelligent Dynamic Relationship)

This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good.

Plasma Jet Imaging by CCD Technology in Rapid Mold Manufacturing

Plasma spraying is an important enabling technology i n near-net-shaped process as well as many high-performance coating applicatio ns. Recently, it is being applied to rapid mould manufacturing to reduce develop ment time and manufacturing cost. In this process, inputted powders are heated a nd accelerated by plasma jet, and impinge on master pattern or prototype to form ing a thick coating. Mould will be fabricated after backed-up with consolidated material and other post-treatments. Amongst numerous factors that affect the l ife and properties of mould made by this novel method, quality of coating is the most important one. However, the complex nature of the spray process results in a large number of processing parameters that must be controlled in order to obt ain optimum coatings. Traditional "trial and error" method is too time and cost consuming for the optimal processing parameters. Maybe modeling and diagnostics of process is the best way to ravel out the problems. It has been proved that pl asma-gas flowrate, power level and spray distance are the most critical variabl es. So flow visualization and diagnostics for plasma jet quality has become an i mportant task to obtain a repeatable and reliable plasma processing technology. Using enthalpy probe diagnostics, spectrometry and optical measurement, we can o btain the distribution of temperature field of plasma jet. These results can hel p us to design gun configuration and optimize processing parameters for high dep osition efficiency and good qualities of rapid mould manufacturing. Nevertheless , it is still very difficult to realize real-time diagnoses because of restrict of diagnosis condition and drawback of measurement approach. In our researches, a real-time data collection and image processing system for plasma jet with high temperature, velocity and compressed energy has been realiz ed by CCD sensor. In this paper, we firstly focus our attention on collection pr inciple and methods, and an effective method for collecting data in high tempera ture area is presented. Then a system of real-time data collection by CCD camer a is developed. Finally, fake color image processing is given to analyze the law of temperature field distribution under different conditions. The results are i mportant to realize the visualization of plasma spraying, and especially to furt her study on closed-loop feedback control of forming quality for plasma rapid m anufacturing process.

Image processing algorithm acceleration using reconfigurable macro processor model

The concept and advantage of reconfigurable technology is introduced. A kind of processor architecture of re configurable macro processor (RMP) model based on FPGA array and DSP is put forward and has been implemented. Two image algorithms are developed: template-based automatic target recognition and zone labeling. One is estimating for motion direction in the infrared image background, another is line picking-up algorithm based on image zone labeling and phase grouping technique. It is a kind of 'hardware' function that can be called by the DSP in high-level algorithm. It is also a kind of hardware algorithm of the DSP. The results of experiments show the reconfigurable computing technology based on RMP is an ideal accelerating means to deal with the high-speed image processing tasks. High real time performance is obtained in our two applications on RMP.

Detection of Copy-Move Forgery in Digital Images Using Singular Value Decomposition

This paper presents an improved approach for detecting copy-move forgery based on singular value decomposition(SVD).It is a block-based method where the image is scanned from left to right and top to down by a sliding window with a determined size.At each step,the SVD is determined.First,the diagonal matrix’s maximum value(norm)is selected(representing the scaling factor for SVD and a fixed value for each set of matrix elements even when rotating thematrix or scaled).Then,the similar norms are grouped,and each leading group is separated into many subgroups(elements of each subgroup are neighbors)according to 8-adjacency(the subgroups for each leading group must be far from others by a specific distance).After that,a weight is assigned for each subgroup to classify the image as forgery or not.Finally,the F1 score of the proposed system is measured,reaching 99.1%.This approach is robust against rotation,scaling,noisy images,and illumination variation.It is compared with other similarmethods and presents very promised results.

Status and prospects of frozen soil studies using CT technology

This paper introduces the characteristics of Computed Tomography （CT） technology and reviews its history, current situation, representative achievements, and use of using CT technology on frozen soil study, including auxiliary equipment specially de- signed for frozen soil studies. CT numbers are used to analyze frozen soil internal structure change, defining and exploring dam- age evolution, and use of CT images on observing soil mesostructure. Finally, this paper presents existing problems confronted by using CT in frozen soil studies, possible solutions and challenges, among which, we introduce high quality CT image processing for frozen soils, and relations between CT number change and each component change on frozen soil samples within the region of interest. It is shown that present CT technology is one of the most ideal and effective technology to study frozen soil mesostructure using non-desmactive testing. CT technology will play a key role in the study and development in the field of frozen soil by means of auxiliary equipment and the digital imaging processing.

基于机器视觉的飞机故障检查系统

针对当前飞机维修检查工作以人工目视检查为主、效率低且存在人为因素影响的情况,设计一套基于图像识别与机器深度学习的飞机部件表面无损检测系统。收集并整理了某航空公司一线飞机维修员拍摄的飞机机身及发动机部件图片,对图片集进行预处理,包括通道提取、Sobel滤波处理及二值化;最后用Blob分析对处理后的图像进行特征提取与系统分析。系统运行速度快、准确率高且可连续自动识别图像。利用机器视觉技术对飞机部件表面进行无损检测不仅可以提高生产效率,同时可以去除人为因素对航空器飞行安全的影响,使得飞机的飞行安全得到进一步提升。实践证明,该系统性能稳定可靠,具有极高的推广应用价值。

背部痧象特征要素数显划分方法

目的通过对痧象图片数据的研究,提出一种数显的客观方法来对背部痧象特征要素进行准确辨识,以避免主观认知不同带来的偏差,帮助人们快速辨识痧象的相关特征,为中医医师的诊断提供一定的客观依据,减少主观化成分。方法首先,采用深度语义分割算法模型对采集的背部痧象图片进行分割,以获取只包含痧象的部分区域,去除图片中其他无关部分,尽可能减少对后续实验所带来的影响。然后针对分割得到的图像,结合中医五脏六腑在背部的映射区,采用关键区域检测的方法对痧象颜色特征进行3种区间的识别;根据中医主观上对于痧象形状的划分,采用像素统计方法将痧象形状划分为片状和点状两种。最后,通过准确度、精确度、召回率、F1值对客观识别的结果进行数据上的评价。结果本文提出的客观数显方法在痧象颜色特征划分上的准确率达到了80.56%,在痧象形状特征的划分上准确率达到了89.60%,能够较为准确地对痧象特征要素进行划分,具有一定的可行性。结论本文提出的数显方法能够对痧象的颜色和形状特征进行较为准确的辨识,可以在很大程度上避免主观认知所造成的辨识不同问题,在辅助医师诊断以及用于中医痧象特征的识别教学方面具有较大的应用前景,可为正确了解痧象特征信息提供帮助。

ACQUIREMENT AND COMPUTER PROCESSING OF 3-D SURFACE SHAPE DATA

The laser scanning and CCD image-transmitting measurement method and principle on acquiring 3-D curved surface shape data are discussed. Computer processing technique of 3-D curved surface shape(be called“ 3 - D surface shape”for short) data is analysed. This technique in- cludes these concrete methods and principles such as data smoothing, fitting, reconstructing ,elimi- nating and so on. The example and result about computer processing of 3- D surface shape data are given .

指针式仪表读数识别的研究现状与发展

在高温高压强磁场等恶劣环境下,指针式仪表有着优于数显式仪表的良好性能表现,对指针式仪表读数识别进行研究具有重要的现实意义。近年来,深度学习与计算机视觉紧密结合,基于深度学习的指针式仪表读数识别技术是前沿研究的重点方向。文中首先概述指针式仪表读数识别的过程,然后从3个方面论述指针式仪表读数识别技术的研究现状与进展:仪表图像的预处理、仪表表盘区域的检测和仪表的读数识别,论述过程中分别阐述基于传统机器学习的方法和基于深度学习的方法。最后介绍公开的仪表数据集和应用场景,并从深度学习算法、巡检机器人工作特点和公共数据集的建立3个方面对未来的研究进行展望与建议。

基于无人机PPK技术在免像控条件下山区光伏地形图的生产

针对光伏场区高差大、部分区域植被覆盖、通信信号弱的特点,本文提出了一种基于动态后处理技术(PPK)在免像控条件下航测光伏地形图生产的方法。该方法首先在免像控的条件下对航测获取的无人机影像定位测姿系统(POS)数据和点云数据进行PPK解算;然后利用点云后处理、影像空中三角测量、数字微分纠正等技术生成高精度数字高程模型(DEM)和数字正射影像(DOM)成果;最后利用DEM和DOM成果构建三维模型,实现地形图生产。利用两个典型应用实例,验证了该方法可完全满足光伏地形图的精度要求。

信息化时代“图像处理技术”课程建设与实践

文章针对信息化背景下学习活动模块化、时间碎片化和普通高等教育电子信息类专业课教学的自身特性,利用一体化平台整合教学资源,开展线上线下双线教学,同时实现教学全过程动态管理和成绩评价指标的量化记录;根据“图像处理技术”课程实践性强、应用广泛的特点,结合科研工程案例,利用平台开展翻转课堂形式的教学活动,并在教学过程中融入思政元素,激发学生学习积极性,增强学生的法律意识和科技强国的责任感;同时完善课程考核体系,提高课程参与度,取得了一定的实践效果。

“任务链+研学支架”教学模式的建构——新工科视角下“遥感数字图像处理”课教学改革

目前,传统教学在内容的系统性、认知活动高阶性、价值引领实效性、促学效果等方面存在着较严重的问题,为此,“遥感数字图像处理”课程基于新工科教学理念,以遥感技术的综合应用情境重构课程体系,开启“任务链+研学支架”教学模式,加强培养学生遥感应用能力和创新能力,以遥感技术服务社会需求为育人路径。新模式的构建,实现了应用与研学互动、研学与研教并举、育人与育才同构的效果,对同类型新工科课程具有借鉴意义。

视频侦查技术关键及其发展展望

视频侦查技术的核心是通过视频图像的提取、查看、分析和研判来获取侦查线索、固定涉案证据。多年来经过在实战应用中不断地发展创新,视频侦查技术形成了自己独特的关键技术体系:视频信息分析解读技术是侦查应用和证据固定的基础和核心;视频证据固定保全技术的规范是审判中心主义的客观要求,可以获取视频侦查记录报告、视频检验鉴定报告或视频数据关联报告;低质量视频图像的增强恢复技术专业性强,应用范围窄,技术成熟度高,然而它不断面临新的挑战。目前,视频数据的智能应用在大数据背景下变得越来越重要,仍需进一步突破视频自动识别技术的应用范畴,建立完善多层次的视频数据综合应用体系,打造适应不同业务需要的视频数据实战应用模型。

基于人工智能技术的电影数字修复方法研究与应用

近年来,人工智能技术不断发展,应用领域越来越广泛。在电影修复领域,人工智能技术的引入取得了显著成果。传统的电影修复方法虽然能够达到一定的修复效果,但仍存在一些不足,比如处理速度慢、效果不够精细等。而基于人工智能技术的电影数字修复方法能够通过深度学习和计算机视觉等技术手段,实现更高效、更精准的修复效果。基于此,本文详细介绍了基于人工智能技术的电影数字修复方法,以期更深入地了解人工智能技术在电影修复领域的前沿进展和潜力。

运用彩色 CCD 测量火焰温度场的试验研究及误差分析

电厂锅炉火焰的温度场分布对于电厂的安全运行和燃烧诊断都具有极其重要的现实意义。运用计算机图像处理技术测量燃烧火焰的温度场分布是近年来国内外得到较多研究的一项技术。文中采用彩色ＣＣＤ摄像机对炉膛火焰进行温度场计算，并对计算方法的误差进行了详尽的分析。试验结果表明，此方法简便可行，具有投入工业现场应用的前景。

天文全帧CCD图像拖尾的快速去除方法

在长时间的天文光电观测系统中,为降低运行成本,往往拆除机械快门。但对于天文全帧CCD相机而言,其由此产生的拖尾严重影响了目标的检测性能。本文首先根据全帧CCD的工作机理,从理论上分析了CCD图像拖尾产生的原因。结合实际工程对空间目标检测的实时性需求,提出一种快速而有效地去除恒星目标竖直拖尾和空间目标倾斜拖尾的方法。最后结合实测数据和硬件平台,验证了该方法的有效性及实时性。

基于CCD成像自动对准技术的玻璃折射率测量系统研究

为了实现快速准确地测量玻璃材料的折射率,研究了基于CCD成像自动对准技术的玻璃折射率测量系统。该系统采用CCD成像与图像自动对准技术代替人眼目视瞄准;用光电轴角编码器代替光学度盘,实现了折射光线偏转角的精确数字测量;用电机控制成像系统,实现双线夹单线图像对准,并自动蜂鸣报警。实验结果表明,该系统对玻璃折射率的测量精度优于±3×10-6,比国内现阶段传统折射率测量设备的测量精度提高一个数量级。

CCD应用中的高速图象数据采集技术

介绍了一种可用于精密光学测量的高速线阵ＣＣＤ图象数据采集系统，给出了系统组成、各单元设计考虑和主要技术指标。

推扫型TDI CCD光学遥感器动态成像研究

针对基于推扫技术的TDI CCD空间光学遥感器动态成像试验,研制了一套检测系统。在系统中,设计了模拟卫星推扫的双支承U型结构精密转台。搭载遥感器,以角速度0.555°/s在±5°的范围内转动时,转台稳速控制精度达到0.3%。设计了一种奈奎斯特频率靶标,在每组矩形垂直靶条间加入公差为a/n的等差级数间隔靶条,解决了遥感器推扫时CCD像元与垂直靶条像匹配不确定性问题,使配准简化,提高了测量结果的准确性。试验结果表明:遥感器获得了垂直、水平及45°方向的0视场,±0.86视场奈奎斯特频率靶条像,验证了采用推扫技术的TDI CCD遥感器所具有的高品质。