453 research outputs found

    Data-driven Health Status Prediction of the Hydraulic Turbine Governing System

    Get PDF
    水轮机调速系统是水轮发电机组的关键控制系统。运用故障树与专家系统相结合的方法对调速系统可能发生的故障进行诊断,并基于历史数据,挖掘与故障相关的可能因素,对专家系统无法解决的故障进行分析,构建了基于数据驱动的水轮机调速系统健康状态预测系统。The hydraulic turbine governing system is the key control system of the hydro-turbine generator unit. In this paper,the fault tree method and the expert system are combined to predict the potential faults of the governing system.Based on the historical data,a data-driven health status prediction system is developed for the hydraulic turbine governing system to detect the possible factors of the faults and analyze the unsolved faults

    Public Service Pattern Innovation based on Customer Relationship Management——Take American 311 System as Examples

    Get PDF
    在数字化、电子化和网络化突飞猛进的今天,公民与政府的联系日益增强,对公共服务的需求在不断提高,公民的选择权在不断扩大,政府也在谋求“以生机勃勃的方式将民众带入新的公共行政时代”。当前,利用客户关系管理来组建数据驱动的新型公共服务系统,已成为各国政府回应上述问题的一个重要尝试。例如,美国、英国、加拿大和韩国都纷纷引入了客户关系管理系统,向公众提供一体化、以公众为中心的公共服务。 然而,与其他国家相比,我国公共服务供给模式相对落后,发展进程相对缓慢。政府通常会以“踢皮球”的方法应付公共服务领域内出现的问题。这种做法不仅导致低质量、低回应性的公共服务供给,更影响了政府部门的自身形象和公信力。因此,...With the rapid development of economy and the progress of science and technology, the social public also gradually increased demands for public services. As a result, the world is respectively opened to the public service mode of exploration and innovation. The continuous development of Internet technology, not only makes the public and government is a more direct and open communication, but also ...学位:管理学硕士院系专业:公共事务学院_行政管理学号:1392013115031

    From policy-driven to practical implementation:big data opens up a new research paradigm for sustainable development

    Get PDF
    1可持续发展及面临的难题可持续发展是世界对发展道路的审慎选择,也是我国的基本发展战略。随着全球资源枯竭、环境恶化的日益严重以及人类文明的演进和对生态保护理念的不断深化,可持续发展已经成为全球共识,对这一领域的研究也越来越热,日渐深入。实现可持续发展的关键是如何制定合理的、能够平衡环境、经济和社会需求的复杂决策。然而自然、社会、经济系统本身的高度复杂性、动态性以及不确定性使得实现这一最优或近似最优的决策成为一个巨大的挑战。目前,可持续发展战略的实

    Development in Signer-Independent Sign Language Recognition and the Ideas of Solving Some Key Problems

    Full text link

    Visual Perception and Spatial Optimization based Artistic Image Synthesis

    Get PDF
    艺术图像建模与生成是人工智能和非真实感图形学领域的重要研究方向。在深入理解艺术图像创作理论的基础上,本文采用数据驱动的方法,同时引入艺术家创作艺术图像所考虑的美学规则,最后通过相应的空间布局优化策略,实现艺术图像的合成。为了验证我们的思路和方法,本文针对手写字形美化和图像拼贴画生成两个具体研究问题开展了研究。其一是综合考虑笔画和拓扑结构,利用数据驱动的方式辅助在线手写字形美化;其二是结合图片高层语义特征和底层颜色特征,同时引入格式塔视觉感知理论的图像拼贴画生成。 字形美化通常指结合书法的审美要求和经验知识,对在线或离线手写汉字的笔画、空间拓扑关系等进行优化,以达到美化字形的目的。虽然印刷体的...Artistic image synthesis is an important research direction in the field of artificial intelligence and non-photorealistic rendering. Based on the understanding of artistic image analysis and synthesis, we use data driven method, constraint with some aesthetic rules artists used in creating artistic image, and generate a reasonable layout with appropriate optimization algorithm. We conduct two wor...学位:工学硕士院系专业:信息科学与技术学院_计算机科学与技术学号:3152014115328

    Research on Energy Efficiency Optimization Algorithm for Copper Flash Smelting Process Based on Data-driven

    Get PDF
    铜闪速熔炼工序具有多变量、非线性、大时滞、强耦合、生产波动大的特点,传统的基于机理模型的优化控制系统很难适应多变的运行条件,预测结果偏差较大,影响最终的控制效果。随着计算机技术的发展,复杂工业过程中积累了大量生产数据,为我们从人工智能的角度进行建模与优化控制提供了数据基础。 本论文以某大型闪速炼铜企业的闪速熔炼生产过程为研究对象。为了实现铜闪速熔炼工序中的节能减耗,本文提出了一种满足三大工艺指标(冰铜品位,冰铜温度,渣中铁硅比)约束的能效优化模型:首先,我们用最小二乘支持向量机对历史数据进行训练得到三大指标预测模型;然后,我们给出优化数学模型并以三大工艺指标为约束,用改进的粒子群优化算法对能...The characteristics of the copper flash smelting process include: multiple variable, nonlinearity, strong coupling, long delay and large fluctuations. With the development of computer technology and industrial automation, the complex industrial process has produced a large number of production data, which contains rich information for the mining of their patterns. In order to improve energy effi...学位:工学硕士院系专业:软件学院_软件工程学号:2432013115244

    Facial expression cloning optimization method based Laplace operator.

    Get PDF
    In view of the reality of facial expression cloning and efficiency of expression reconstruction, a novel method based on motion capture data is proposed. After capturing the data of six fundamental expressions, it normalizes these data to make them in the same range. Then 41 points are chosen in critical areas of facial expression and it gets cloning expression using Laplace deformation algorithm with convex weight which can preserve the details of facial expression to avoid the low fidelity of uniform weights and unstable calculation of cotangent weights. Experimental results show that this method can generate realistic and natural expression animations and the efficiency of facial expression cloning is improved significantly
    corecore