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2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)最新文献

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Research on the Algorithmic Layout optimization of Prefabricated Building’s Exterior Wall Panels 装配式建筑外墙板布局优化算法研究
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00043
Geon-Ho Song, Y. Luo, Jialu Deng, Shan Su, Kun Zhang
This research was carried out to solve the problem of inefficiency and material waste caused by the lack of optimization in the layout design and cutting of the exterior wall panels of prefabricated steel high-rise residential buildings in China. Combined with building performance simulation, it first studies the relationship between relevant factors in the process of exterior wall panel layout and establishes corresponding mathematical model. Then, genetic and heuristic algorithm program are used to find the optimal solution of the panel cutting methods, thereby improving work efficiency and reducing environment pollution.
本研究针对国内预制钢结构高层住宅外墙板的布置设计和切割缺乏优化而造成的低效率和材料浪费问题进行研究。结合建筑性能仿真,首先研究了外墙板布置过程中相关因素之间的关系,并建立了相应的数学模型。然后,利用遗传和启发式算法程序寻找面板切割方法的最优解,从而提高工作效率,减少环境污染。
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引用次数: 0
A Review of Metal Powder-CO2 Propulsion Technology 金属粉末- co2推进技术研究进展
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00050
Hanxiao Wu, Kun Cai, Haiwang Li, Tiantong Xu, Weidong Fang, Wenbin Wang, Pengpeng Nie
With the advancement of Mars exploration and deep space exploration technology, the metal powder-CO! rocket engine suitable for the Martian atmosphere has received more and more attention from scholars. In this paper, we summarized some researches about power-CO2 propulsion technology, including the combustion mechanism studies and pivotal technologies. Then, we pointed out some potential research directions in the future.
随着火星探测和深空探测技术的进步,金属粉末——co !适合火星大气的火箭发动机越来越受到学者们的关注。本文综述了动力- co2推进技术的一些研究进展,包括燃烧机理研究和关键技术研究。在此基础上,提出了今后的研究方向。
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引用次数: 0
A Study on Improving Railway Freight Customer Satisfaction Based on Improved Kano Model 基于改进Kano模型的铁路货运客户满意度提升研究
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00025
Zhili Yuan
In the process of high-speed development of railway freight, it is a vital means to increase the market share of enterprises and achieve business objectives by improving customer satisfaction. Based on the existing literature and documents, the revised Berger satisfaction evaluation index was used to improve the Kano model, and the subjective and objective weight assignment method was combined to identify and classify the demand factors affecting customer satisfaction in this paper. According to the final weight ranking results, targeted improvement suggestions for various categories of demand indicators was put forward, which can provide a scientific method and a theoretical basis for the improvement of railway freight customer satisfaction.
在铁路货运高速发展的过程中,提高客户满意度是提高企业市场占有率,实现企业经营目标的重要手段。本文在现有文献的基础上,采用修正后的Berger满意度评价指标对Kano模型进行改进,并结合主客观权重分配方法对影响顾客满意度的需求因素进行识别和分类。根据最终的权重排序结果,对各类需求指标提出有针对性的改进建议,为铁路货运客户满意度的提升提供科学的方法和理论依据。
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引用次数: 0
Pixelation Algorithm for Computing the Intersection of Connected Graphs in Intelligent Damage Recognition 智能损伤识别中连通图交点的像素化算法
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00063
Hang Li, Di Xiong, Yan Wang, Xinyuan Ma, Qianqian Zhu
Intelligent damage determination refers to the identification of the damage and parts of the vehicle in the picture and video through the image recognition algorithm, and then automatically output the damage of the vehicle. How to accurately judge the size of the damage on the vehicle components is an important step to get the damage of the vehicle. This problem is actually a solution to the intersection of two connected graphs. However, the existing algorithms can only solve some simple and special graphics. In practical applications, the shapes of damage and parts are changeable, and these algorithms can no longer meet the actual needs. This paper presents a universal algorithm for solving the intersection of connected graphs by pixelating the graph and according to the change law of the relative position relationship between the points on the plane and the graph. The algorithm has a wide range of applications and simple input requirements for graphics. The application results of simulation tests and actual scenes show that this algorithm can accurately calculate the intersection of concave polygons, holed polygons and other connected graphics, which has high practical application value.
智能损伤判定是指通过图像识别算法对图片和视频中车辆的损伤和部位进行识别,然后自动输出车辆的损伤情况。如何准确判断车辆部件的损伤大小,是获得车辆损伤情况的重要步骤。这个问题实际上是两个连通图相交的解。然而,现有的算法只能解决一些简单和特殊的图形。在实际应用中,损伤和零件的形状是多变的,这些算法已经不能满足实际需要。本文根据平面上点与图的相对位置关系的变化规律,对图进行像素化处理,提出了一种求解连通图相交的通用算法。该算法适用范围广,图形输入要求简单。仿真测试和实际场景的应用结果表明,该算法能准确计算凹多边形、孔多边形等连通图形的相交,具有较高的实际应用价值。
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引用次数: 0
Comparison of Wake Oscillator Models with Different Damping Terms 不同阻尼项下尾流振子模型的比较
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00029
Y. L. Feng, D. Chen, Sun-Wei Li, Q. Xiao, W. Li
Various wake oscillator models considering different damping terms are employed for predicting vortex-induced vibration of one degree-of-freedom rigid elastically mounted cylinder in the present work. Three distinct damping terms are considered, i.e. Van der Pol Type, Rayleigh Type and Van der Pol-Rayleigh Type. The dynamic behaviours of wake oscillator models with different damping terms are compared to provide better insights into the mechanism for flows to interact with vibrations of the elastically mounted cylinder. The results shows that the damping effect increases when different damping terms, in the order above, employed in the wake oscillator.
本文采用考虑不同阻尼项的尾流振子模型来预测单自由度刚性弹性圆柱的涡激振动。考虑了三种不同的阻尼项,即Van der Pol型、Rayleigh型和Van der Pol-Rayleigh型。本文比较了不同阻尼项的尾流振荡器模型的动态特性,以便更好地了解流动与弹性安装圆柱体振动相互作用的机制。结果表明,在尾流振子中按上述顺序加入不同的阻尼项,阻尼效果都有所提高。
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引用次数: 1
The Relationship Between the Space Corridor and Pedestrian-Level Wind Environment 空间廊道与行人风环境的关系
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00035
Hongwei Zhang
The unreasonable building layout will worsen the wind environment at the pedestrian height around the building. The main objective of this paper is that using ANSYS Fluent software to study the impact of space corridors on pedestrian-level wind environment around buildings and give a reasonable space corridor layout position. In this paper, the calculation model was set up according to the detailed rules of green building evaluation standard to ensure the validity of CFD simulation. Based on the calculation results, the variation laws of different space corridor arrangements on the average wind speed amplification coefficient at pedestrian height in 3 evaluation areas were discussed. It is concluded that the layout of the space corridor in the middle of the buildings which is case-3 is beneficial to the pedestrian wind environment in the street valley of the buildings.
不合理的建筑布局会使建筑周围行人高度处的风环境恶化。本文的主要目的是利用ANSYS Fluent软件研究空间廊道对建筑周围行人层风环境的影响,给出合理的空间廊道布局位置。本文根据绿色建筑评价标准细则建立了计算模型,以保证CFD模拟的有效性。根据计算结果,探讨了3个评价区不同空间廊道布置方式对行人高度处平均风速放大系数的变化规律。结果表明,案例3所示的建筑中间空间廊道布局有利于建筑街谷的行人风环境。
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引用次数: 0
Vein Visualization Based on Deep Learning with a Smartphone 基于智能手机深度学习的静脉可视化
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00057
Mengen Qian, Chaoying Tang, Biao Wang, Zhongbin Zhang
Intravenous infusion is a method frequently used in medical treatment. Locating veins is the prerequisite for intravenous infusion. At present, vein localization in many medical scenarios is still performed manually. However, when encountering infectious diseases, the difficulty of manually locating vein will increase sharply due to the wearing of corresponding protective measures. Inspired by the successful application of deep learning in the field of semantic segmentation, a lightweight neural network is proposed to realize vein visualization from color skin images. The feature loss is included in the training loss to reduce the noise of the visualization result and enhance the smoothness of the image. The network is deployed to a smartphone, which greatly improves the convenience of vein visualization. Experiments were conducted to evaluate the proposed method and its mobile terminal performance. The experimental results show that the proposed method can clearly locate veins in skin areas, and thus can be used to assist medical treatment.
静脉输注是医学治疗中常用的一种方法。静脉定位是静脉输注的前提。目前,在许多医疗场景中,静脉定位仍然是手工进行的。然而,在遇到传染病时,由于佩戴了相应的防护措施,人工定位静脉的难度会急剧增加。受深度学习在语义分割领域成功应用的启发,提出了一种轻量级神经网络实现彩色皮肤图像的静脉可视化。将特征损失包含在训练损失中,以降低可视化结果的噪声,增强图像的平滑性。该网络部署在智能手机上,大大提高了静脉可视化的便利性。通过实验对该方法及其移动终端性能进行了验证。实验结果表明,该方法可以清晰地定位皮肤区域的静脉,从而可以用于辅助医疗。
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引用次数: 0
Application of PREEvision Software to Realize Vehicle Functional Safety Development 应用PREEvision软件实现汽车功能安全开发
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00019
Yin Zhen-hua, Meng Ling-Xu, He Jun-Nan
In recent years, with the increasing degree of automobile electrification and intelligence, the number of automobile electronic components has also increased, and the functional safety of automobile has been paid more and more attention by employees, which has become an indispensable part in the process of automobile new product research and development. As the mainstream tool for the development of automotive electronic and electrical architecture, prevision has the advantages of platform and modularization. Using prevision to realize automotive functional safety modeling and apply the electronic and electrical architecture development and functional safety development of new automotive products to the same development tool can greatly shorten the R & D cycle of new products and provide the safety performance of new products.
近年来,随着汽车电气化、智能化程度的不断提高,汽车电子元件的数量也越来越多,汽车的功能安全也越来越受到员工的重视,成为汽车新产品研发过程中不可或缺的一部分。预视作为汽车电子电气架构开发的主流工具,具有平台化和模块化的优势。利用预视实现汽车功能安全建模,将汽车新产品的电子电气架构开发和功能安全开发应用到同一开发工具中,可以大大缩短新产品的研发周期,提供新产品的安全性能。
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引用次数: 0
Ascertaining Factors Affecting Autonomous Driving in New Zealand - A Framework for HMI Design 确定影响新西兰自动驾驶的因素——HMI设计框架
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00011
A. Rehman, A. Ghaffarianhoseini, N. Naismith, J. Tookey, Amirhosein Ghaffarianhoseini, Shafiq Urréhman
Autonomous Vehicles [AVs] will emerge as a powerful catalyst, thus forming a potentially disruptive technology opening doors to technological, socio-cultural and legal challenges. Present-day research is mainly focused on technological orientation, lacking the predominant social and behavioural linkages. NZ being a testbed of innovative technologies, is facing significant challenges in growing population and traffic congestions. Auckland ranks 47th globally in terms of traffic congestion costing $$1.3$b a year to the economy. Therefore, harnessing AV technology will be a significant step to remain competitive. The people’s readiness for acceptance influences AVs successful implementation. In this background, it is quintessential to ascertain and evaluate critical factors affecting the successful deployment of AVs in NZ. This exploratory research study is a part of a larger project of realizing a trust dynamics and governance framework for humanizing driverless technology. It is being carried out in collaboration with BMW NZ Group using Autonomous Level 2 Vehicle in Auckland on high, medium and low-density roads with level 3 functions mostly. Drawing on systematic qualitative evidence, this study attempted to find out key determinants/variables affecting user acceptance, including anthropomorphism, training, feedback, safety, security, privacy, customization and adaptive automation for AVs deployment in NZ and their role in garnering users’ trust besides suggesting an HMI Autonomous Driving Events Relationship Framework for AVs.
自动驾驶汽车(AVs)将成为一种强大的催化剂,从而形成一种潜在的颠覆性技术,为技术、社会文化和法律挑战敞开大门。目前的研究主要集中在技术取向上,缺乏主要的社会和行为联系。作为创新技术的试验田,新西兰正面临着人口增长和交通拥堵的重大挑战。就交通拥堵而言,奥克兰在全球排名第47位,每年给经济造成13亿美元的损失。因此,利用自动驾驶技术将是保持竞争力的重要一步。人们对自动驾驶的接受程度影响着自动驾驶的成功实施。在这种背景下,确定和评估影响自动驾驶汽车在新西兰成功部署的关键因素至关重要。这项探索性研究是实现人性化无人驾驶技术的信任动态和治理框架的更大项目的一部分。它正在与宝马新西兰集团合作,在奥克兰的高、中、低密度道路上使用自动驾驶2级车辆,主要是3级功能。利用系统的定性证据,本研究试图找出影响用户接受度的关键决定因素/变量,包括拟人化、培训、反馈、安全、保障、隐私、定制和自适应自动化,以及它们在获得用户信任方面的作用,并提出了一个HMI自动驾驶事件关系框架。
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引用次数: 0
Stress Assessment Using Facial image Imprint 基于人脸图像印记的压力评估
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00064
Kan Hong
Thermal imaging is one of the most promising methods of probing the psychological status of human beings because of its non-invasiveness. This study focuses on a new method of assessing the emotional stress status in real time. The correlation between the extracted thermal imprints and established stress markers is encouraging.
热成像因其非侵入性而成为最有前途的探测人类心理状态的方法之一。本研究的重点是一种实时评估情绪应激状态的新方法。提取的热印迹和已建立的应力标记之间的相关性是令人鼓舞的。
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引用次数: 0
期刊
2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)
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