【摘 要】
：
Among the promising application of autonomous surface vessels(ASVs)is the utilization of multiple autonomous tugs for manipulating a floating object such as an oil platform,a broken ship,or a ship in port areas.Considering the real conditions and operatio
【机 构】
：
DepartmentofMaritimeandTransportTechnology
【基金项目】
：
supported by the China Scholarship Council(201806950080),the Researchlab Autonomous Shipping(RAS)of Delft University of Technology,and the INTERREG North Sea Region Grant“AVATAR”funded by the European
论文部分内容阅读
Among the promising application of autonomous surface vessels(ASVs)is the utilization of multiple autonomous tugs for manipulating a floating object such as an oil platform,a broken ship,or a ship in port areas.Considering the real conditions and operatio
其他文献
Secure control against cyber attacks becomes increasingly significant in cyber-physical systems(CPSs).False data injection attacks are a class of cyber attacks that aim to compromise CPS functions by injecting false data such as sensor measurements and co
在分析三段式桥壳的基本结构形式及其焊接工艺的基础上,提出了新的焊接工艺,降低了焊接质量风险,进一步提高了产品质量.
为了提高输电网故障诊断数学解析模型的求解效率,保证故障元件辨识的准确性,提出了基于余弦自适应差分进化(Cosine Adaptive Differential Evolution,CADE)算法的故障诊断方
This paper deals with the consensus problem in an uncertain multi-agent system whose agents communicate with each other through a weighted undirected(primary)graph.The considered multi-agent system is described by an uncertain state-space model in which t
Facial attribute editing has mainly two objectives:1) translating image from a source domain to a target one,and2) only changing the facial regions related to a target attribute and preserving the att
现有楼宇智能化综合安防监控系统由于多种设备因素的影响,安全等级较低,无法满足现今楼宇安全需求,为此提出物联网技术在楼宇智能化综合安防监控系统中应用设计。引入物联网技术设计楼宇智能化综合安防监控系统,硬件系统包含感知设备、监控设备、安防报警主机与联动设备;软件模块包含报警主机防区类型模块、联动安防报警模块与联动监控模块。通过上述硬件与软件模块的设计,实现物物通信,对楼宇内的环境、视频进行无线远程监视
随着人脸识别技术的发展,人脸识别已经成为一种比较成熟的身份识别技术。本文以智慧课堂应用为例子,介绍了人脸识别技术在智慧课堂的设计及应用,展望了人脸识别技术在智慧安防、智慧工厂、智慧金融等领域的应用。
随着电力生产的规模化发展,以变压器为代表的电力生产设备系统每天都会产出海量的数据信息.同时统DBN算法对海量数据进行分析应用,虽然能够从中发现典型故障,但也存在泛化能
目前由于智能电表的测量标准单位的不同,在数据测量上存在难以统计的情况。为了提高分时段用电量测量的准确性,使用BP神经网络对用单一单位电量和区域单位电量进行分时段测量,以此得出更高准确值,从而指导分时段供电功率。BP神经网络算法对用电量进行测量,可以看出单一用户在10:00～20:00用电量较高,在(16kW.h, 21kW.h)波动;区域用电量根据地区差异呈现出不同的用电量波动。因此,BP神经网络
针对弹簧承载座人工检测效率低、劳动强度大等问题,对弹簧承载座缺陷种类及缺陷特征进行了研究,并对其缺陷检测流程进行了分析归纳,提出了一种基于机器视觉的弹簧承载座缺陷检测方法,实现了缺陷检测自动化。通过中值滤波算法对图像进行预处理,去除图片噪声;提出了一种两步找圆的方法,确定检测区域尺寸,再通过对检测区域进行掩膜操作,实现弹簧承载座焊渣和缺口缺陷检测;通过基于边缘点的模板匹配算法来判断字符的完整性。实