Evaluating Methods of Visual Assistance for Workers to Improve Quality and Usability in Individualized Kitchen Cabinet Assembly

In times of digitalisation, visual assistance systems in assembly are increasingly important. The design of these assembly systems needs to be highly complex to meet the requirements. Due to the increasing number of variants in production processes, as well as shorter innovation and product life cycles, assistance systems should improve quality and reduce complexity of assembly processes. However, many large kitchen manufacturers still assemble kitchen cabinets manually, due to the high variety of components, such as rails and fittings. This paper focuses on the analysis and evaluation of virtual assistance systems to improve quality and usability in individualised kitchen cabinet assembly processes at a large German manufacturer. A solution is identified and detailed.

Fundamentals of Presbyopia: visual processing and binocularity in its transformation

Background:The accommodation has considerable interactions with the pupil response,vergence response and binocularity.The transformation of visual reception processing and the changes of the binocular cooperation during the presbyopia development are still poorly studied.So,the regularities of visual system violation in the presbyopia formation need to be characterized.This study aims to reveal the transformation of visual reception processing and to determine the role of disturbances in binocular interactions in presbyopia formation.Methods:This study included 60 people with emmetropic refraction,uncorrected distance visual acuity 1.0 or higher(decimal scale),normal color perception,without concomitant ophthalmopathology.The first group consisted of 30 people(from 18 to 27 years old)without presbyopia,the second cohort comprised 30 patients(from 45 to 55 years old)with presbyopia.The eyeball anatomy and optics were evaluated using ultrasound biomicroscopy,aberrometry,and pupillometry.The functional state of the visual system was investigated under monocular and binocular conditions.The registration of the disparate fusional reflex limits was performed by the original technic using a diploptic device which facilitated investigation of the binocular interaction under natural conditions without the accommodation response,but with the different vergence load.The disparate fusional reflex was analyzed using the proximal and distal fusion borders,and the convergence and divergence fusion borders.The calculation of the area of binocularity field was performed in cm2.Results:The presbyopia formation is characterized by a change in an intraocular anatomy,optics,visual processing,and binocularity.The processes of binocular interaction inhibition make a significant contribution to the misalignment of the visual perception.The modification of the proximal,distal and convergence fusion borders was determined.It was revealed that 87%of the presbyopic patients had binocularity shortage,whereas the reduction of binocularity field area in extreme grade was seen in 6%of cases.Conclusions:The presbyopia formation is accompanied by a significant reorganization of the visual system activity and by the creation of the new visual processing interactions.These data may be useful in presbyopia surgery.

Bayesian and Geostatistical Approaches to Combining Categorical Data Derived from Visual and Digital Processing of Remotely Sensed Images

This paper seeks a synthesis of Bayesian and geostatistical approaches to combining categorical data in the context of remote sensing classification. By experiment with aerial photographs and Landsat TM data, accuracy of spectral, spatial, and combined classification results was evaluated. It was confirmed that the incorporation of spatial information in spectral classification increases accuracy significantly. Secondly, through test with a 5-class and a 3-class classification schemes, it was revealed that setting a proper semantic framework for classification is fundamental to any endeavors of categorical mapping and the most important factor affecting accuracy. Lastly, this paper promotes non-parametric methods for both definition of class membership profiling based on band-specific histograms of image intensities and derivation of spatial probability via indicator kriging, a non-parametric geostatistical technique.

Detection and processing of molten-pool image of electron-beam deep-penetration welding based on visual sensing

A visual sensing system was developed. The system is suitable for titanium-alloy electron-beam welding, and senses and detects molten-pool dynamic processes. A suite of processing programs for colored molten-pool images in titanium-alloy electron-beam welding was developed using Matlab software; molten-pool edge images are completely obtained using the program. The Matlab software was used to write a program which could extract the molten-pool width. The functional relationship between the molten-pool width and penetration under the experimental conditions was obtained by a curve-fitting method, and provided the theoretical basis for further penetration control.

Image Post-Processing Method for Visual Data Mining

Visual data mining is one of important approach of data mining techniques. Most of them are based on computer graphic techniques but few of them exploit image-processing techniques. This paper proposes an image processing method, named RNAM （resemble neighborhood averaging method）, to facilitate visual data mining, which is used to post-process the data mining result-image and help users to discover significant features and useful patterns effectively. The experiments show that the method is intuitive, easily-understanding and effectiveness. It provides a new approach for visual data mining.

Visual Information Processing Based on Qualitative Mapping

Visual information processing is not only an important research direction in fields of psychology,neuroscience and artificial intelligence etc,but also the research base on biological recognition theory and technology realization.Visual information processing in existence,e.g.visual information processing facing to nerve calculation,visual information processing using substance shape distilling and wavelet under high yawp,ANN visual information processing and etc,are very complex in comparison.Using qualitative Mapping,this text describes the specific attributes in the course of visual information processing and the results are more brief and straightforward.So the software program of vision recognition is probably easier to realize.

VISUAL OBSERBATION OF HCFC141b GAS HYDRATE FORMATION/DECOMPOSITION PROCESS OUTSIDE OF A TUBE

In order to design a kind of heat exchanger suitable to the indirect-touched gas hydrate cool storage vessel, a visual observation of HCFC141b gas hydrate formation/decomposition process was presented through a self-designed small-scale visualization apparatus of gas hydrate cool storage. Based on the shooted photos and recorded temperatures, the formation/decomposition process of HCFC141b are described, some characteristics are concluded, and some suggestions of designing heat exchanger are indicated according to the specific characteristics of HCFC141b gas hydrate formation/decomposition process.

采摘机器人机械臂运动控制与目标抓取研究——基于嵌入式和机器视觉技术

首先,从整体方案、视觉定位系统和运动控制系统完成了对采摘机器人机械臂控制系统的设计;然后,基于图像处理技术设计了目标物体识别与抓取策略;最后,基于RRT算法研究了对采摘机器臂运动轨迹的控制方法,实现了对采摘机器人机械臂运动控制与目标抓取系统。采摘试验结果表明:系统对苹果的识别和定位准确度比较高,采摘成功率达到了100%,对采摘机器人自主采摘的实现具有一定的现实意义。

基于视觉信息加工的草原公路行车安全性分析

为探究草原公路各典型行车环境驾驶人视觉信息加工模式的差异性,从视觉层面解析草原公路行车安全,基于眼动仪开展草原公路实车实验,提取驾驶人在自由行驶、跟驰、对向来车、后车切入、路侧风险、交叉口6种真实行车环境下的眼动数据。首先,从视觉分配和视觉搜索两个维度构建评价指标体系,采用动态聚类法将驾驶人的视觉兴趣区域划分为5类,将信息熵与马尔可夫链平稳分布理论结合,构建视点分布信息熵量化驾驶人视觉注意分配的复杂度,并引入扫视幅度、扫视速度分析驾驶人对视觉信息的搜索过程。最后,构建基于CRITIC法的加权秩和比评价模型,对不同行车环境下驾驶人的视觉信息加工强度进行了综合评价。结果显示:驾驶人的视点分布在不同行车环境中存在差异,但当前车道始终是驾驶人获取视觉信息的主视区;各视觉评价指标随行车环境的变化呈显著的统计学差异;驾驶人遇到路侧风险时的视觉信息加工强度最大,行车安全性相对更低。

基于图像视觉检测技术的激光标线仪校准装置研究

针对传统激光标线仪靶标测量方法难度大、人工读数困难且效率低的问题,基于图像视觉检测技术,设计了激光标线仪校准装置硬件系统及软件算法。通过数据采集单元、靶标系统单元和多功能升降工作台单元搭建出系统硬件装置。采用图像预处理方法将原始图像激光线与背景分割,提取出基准中心原点并进行系统标定,利用骨架提取算法拟合出激光测量线,计算出计量特性的偏移量,并根据算法设计出交互软件,自动测量和保存数据。最终通过所研制的校准装置和传统校准方法,校准同一激光标线仪进行比对实验,实验结果|E_(n)|≤1,结果判定为满意,验证了校准系统的可行性。

基于Visual LISP的河道测量工具箱设计及应用

通过使用Visual LISP语言在南方CASS软件中编写添加河道测量工具箱,实现了河道线路里程快速标注及河道横断面自动提取等功能,在河道治理工程内业数据处理的实际应用中大大提高了工作效率,具有较高的工程应用价值。

基于机器视觉的火箭贮箱焊缝射线检测

针对当前火箭贮箱焊缝采用工业机器人作为射线检测系统的执行机构,通常按照“示教-再现”进行既定轨迹运动,不能适应小批量多品种的柔性与智能生产线的问题,将伺服机构、图像处理技术与智能机器人相结合,采用基于图像的视觉伺服控制(IBVS)方法反馈当前图像特征信息,与期望图像特征进行对比形成图像特征偏差,再基于SSA-BP的控制方法,将得到的特征误差用于火箭贮箱焊缝检测中的焊缝位置误差补偿,以提高射线检测系统的作业精度。最后通过试验,验证了该方法具有良好的自适应性和鲁棒性。

冬奥气象图形产品可视化模型研究

高质量图形产品是冬奥气象服务信息的重要载体。基于冬奥气象数据高时空分辨率特征,研究了由多维气象信息向制图要素转换的冬奥气象图形产品可视化概念模型;设计了由基于数据引擎的结构映射、赛事服务的空间映射、组件应用的元素映射和派生思想的属性映射组成的冬奥气象图形产品可视化过程模型。针对差异化、准实时气象服务制图需求,设计了基于DVDL可视化描述语言的制图表达框架,对可视化模型进行业务组织,研发了冬奥气象图形产品加工系统,提供50余种基础产品样式和所见即所得的制图编辑功能,支持任意位置点长时间序列气象产品、山地赛场三维气象产品和多赛区综合服务气象产品的制图渲染。成果在2022年北京冬奥会气象服务中应用,生产了200余种不用服务主题气象图形产品,后续也可为其他冬季赛事和重大活动气象服务保障提供精细化产品制作解决方案。

国家高性能计算环境运行状态诊断系统

【目的】本文介绍了一种在大规模分布式运行环境中建立运行状态诊断系统的方法。【应用背景】为保障高性能计算环境的稳定运行,分析日志等环境数据是一种获取环境状态侧写和发现异常的重要途经。然而分析结果通常是文本和数字,对运维人员来讲缺乏直观印象,不利于快速理解。【方法】我们建设了国家高性能计算环境运行状态诊断系统,它是一种对于目标计算环境的运行状态进行量化和可视化评判的系统,通过对于目标环境的信息收集、整理,进行不同角度的分项分析。【结果】各分析结果被集成为统一的环境运行状态分值,并采用可视化方法将其立体地表现出来,以便相关运维人员能够直观地获取环境信息和快速定位问题。【结论】整个环节绝大部分处理分析工作是由程序自动完成,环境运行状态诊断系统极大减少了人工操作量,为运维工作起到有效的支撑作用。

基于Python语言的计算机专业招聘信息的爬取及分析

文章对计算机专业的招聘信息进行了研究,通过使用Python爬虫定向抓取拉勾网中的各种招聘资料和信息数据,结合职业要求、学历要求等相关基础条件,合理分析某一具体职业的具体状况,并将所得的分析数据结果进行可视化展示。报告了计算机相关专业就业现状,帮助计算机专业学生对未来的就业岗位和对应岗位所需要的专业知识有一个基本的认知,帮助他们有针对性地提高自身的专业能力和综合素养,以培养既懂技术又具备工作能力的复合型计算机人才。

基于SAPAD-AHP的视障者医院导盲机器人设计研究

为解决视障者就医困难等问题,采用SAPAD-AHP方法对视障者医院导盲机器人设计进行研究。首先,采用访谈、观察和体验等方法,对视障者就医过程和痛点进行记录。其次,通过SAPAD模型对视障者就医行为进行研究,建立其“行为―对象―意义”的映射关系,并对意义进行聚类分析,得到一般意义簇。最后,结合AHP法进行权重分析,算出每个意义簇的权重,通过排序得到核心意义簇。通过“核心意义簇―对象”的映射,得到视障者的核心需求,对核心需求进行分析与拆解,得到真正需求,从而完善视障者导盲机器人设计研究。

基于图像处理的视觉采摘机器人作业控制研究

为了实现自动化的番茄分类采摘,基于视觉识别技术设计了识别系统。首先,基于HSV视觉体系中的H分量,采用聚类分析的方法,依据成熟度将番茄分为不熟,半熟和全熟3类,并计算3类番茄成熟度对应的H分量分布范围;其次,根据半熟和全熟番茄H分量的分布范围进行番茄图像分割,并利用形态学的方法得到图像中番茄区域的轮廓曲线;再次,采用椭圆拟合方法实现对番茄轮廓拟合,计算得到图像中番茄区域的中心坐标;最后,采用双目视觉系统实现图像中番茄区域中心坐标向实际空间坐标转化。对番茄轮廓曲线拟合精度和视觉定位精度进行测试,表明系统具有良好的可靠性。

汉语发展性阅读障碍儿童视觉空间信息加工能力的可塑性:基于心理旋转实验

视觉空间信息加工能力在阅读中起至关重要的作用。以二年级(阅读启蒙阶段)和五年级(阅读运用阶段)的发展性阅读障碍儿童为被试,采用心理旋转实验范式,探究汉语发展性阅读障碍儿童在“真字”和“非字”心理旋转任务中视觉空间信息加工能力的差异。结果发现:五年级阅读障碍儿童在“真字”心理旋转任务中表现显著优于二年级阅读障碍儿童,两者在“非字”心理旋转任务上无显著差异。这表明,比起生理成熟,后天教育学习更能有效改善发展性阅读障碍儿童视觉空间信息加工能力。因此,对发展性阅读障碍儿童的早期干预是可行的。

基于计算机图像分析处理的插秧机优化研究

以进一步提升插秧机的作业效率及智能化应用为目标,选取其可视化处理与执行组件为研究对象,基于计算机图像分析与处理技术展开优化研究。通过分析插秧机的结构组成及作业特征,搭建计算机图像特征处理模型,经内部特征计算匹配,设计了完整、有效的插秧图像分析处理流程。展开计算机图像分析与处理优化下的整机作业试验,结果表明:与传统机械特征分析相比,图像识别准确率得到较大提升,插秧均匀率可提升至94.39%,插秧效率相对提升8.30%,满足了插秧机智能化作业需求,具有较好的推广应用价值。

传统民间扎染工艺的创新设计

从生态文明的视角出发,尝试将扎染技法与新材料、新工具、新视角结合,进行创新试验与探索,以推动扎染工艺的发展,同时也为传统民间扎染工艺活化传承和多元化创新发展提供了新思路。