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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
《环境科学与工程前沿(英文)》 2023年 第17卷 第2期 doi: 10.1007/s11783-023-1622-3
● A novel deep learning framework for short-term water demand forecasting.
关键词: Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network Wavelet multi-resolution analysis Data-driven models
Multi-resolution texture synthesis from turntable image sequences
Xuedong WANG, Xiaojun WU, Xiaorong ZHANG
《机械工程前沿(英文)》 2012年 第7卷 第1期 页码 72-80 doi: 10.1007/s11465-012-0305-8
Texture synthesis and texture mapping are important technologies for rendering realistic three-dimensional scene. It has been widely used in virtual reality, urban modeling, 3D animation, gaming and other areas. In this paper, we propose a fast method to construct high quality texture map for multi-resolution texture synthesis from turntable image sequences. Given a 3D mesh model, we first get the projection relationship between 3D mesh and image sequences. We then use image sequences to construct a texture triangle for each 3D triangle mesh and get a global rectangular texture map for the whole mesh. Another approach to construct a texture map is using Stretch-minimizing mesh parameterization. Finally, we map the texture to mesh model to verify the quality of these two methods. The high performance of this method has been demonstrated in many real object models.
关键词: texture synthesis multi-resolution texture map texture mapping
一种基于多分辨率分解和去相关的模块化安全性与鲁棒性彩色图像水印方案 Research Articles
Muhammad IMRAN, Bruce A. HARVEY, Muhammad ATIF, Adnan Ali MEMON
《信息与电子工程前沿(英文)》 2019年 第20卷 第7期 页码 946-963 doi: 10.1631/FITEE.1700667
Detection for transverse corner cracks of steel plates’ surface using wavelet
Qiong ZHOU, Qi AN
《机械工程前沿(英文)》 2009年 第4卷 第2期 页码 224-227 doi: 10.1007/s11465-009-0017-x
关键词: transverse corner cracks defect detection multi-scales wavelet analysis
.: evidence from wavelet analysis
Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM
《能源前沿(英文)》 2014年 第8卷 第1期 页码 1-8 doi: 10.1007/s11708-013-0290-6
关键词: energy consumption economic growth wavelet analysis granger causality
Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG
《信息与电子工程前沿(英文)》 2015年 第16卷 第3期 页码 238-248 doi: 10.1631/FITEE.1400083
关键词: ZY-1 02C satellite Classification Urban Multi-variable model
一种基于多因素分析和多模型集成的海洋溶解氧浓度时间序列预测混合神经网络模型 Article
刘辉, 杨睿, 段铸, 吴海平
《工程(英文)》 2021年 第7卷 第12期 页码 1751-1765 doi: 10.1016/j.eng.2020.10.023
溶解氧是水产养殖的重要指标,准确预测溶解氧浓度可有效提高水产品质量。本文提出了一种新的溶解氧混合预测模型,该模型包括多因素分析、自适应分解和优化集成三个阶段。首先,考虑到影响溶解氧浓度的因素复杂繁多,采用灰色关联度法筛选出与溶解氧关系最密切的环境因素,多因素的考虑使得模型融合更加有效。其次,运用经验小波变换方法自适应地将溶解氧、水温、盐度和氧饱和度等序列分解为子序列。然后,利用5个基准模型对经验小波变换分解出的子序列进行预测,这五个子预测模型的集成权重通过粒子群优化和引力搜索算法计算得出。最后,通过加权分配得到溶解氧多因素集成模型。来自太平洋岛屿海洋观测系统希洛WQB04站收集的时间序列数据验证了该模型的性能。实验的评价指标包括Nash-Sutcliffe效率系数、Kling-Gupta效率系数、平均绝对百分比误差、误差标准差和决定系数。实例分析表明:①所提出的模型能够获得优异的溶解氧预测结果;②该模型优于文中其他对比模型;③预测模型可用于分析溶解氧变化趋势,便于管理者能够做出更好的决策。
张红岩,张登攀
《中国工程科学》 2003年 第5卷 第4期 页码 61-64
边沿作为图像视觉的最主要特征,成为图像信息获取的重要内容。小波变换具有检测局域突变的能力,而且可以结合多尺度信息进行检测,因此成为图像信息边缘检测的优良工具。根据二维小波变换的特点,分析了利用二维小波进行图像边缘检测的基本原理,并设计了利用二维小波变换进行多尺度边缘匹配的检测算法。基于研究结果,编写了计算机应用程序,进行实例分析。
黄卫,路小波,余彦翔,凌小静
《中国工程科学》 2004年 第6卷 第3期 页码 19-24
提出了一种基于纹理和小波分析的车牌定位方法。针对图像背景复杂,且车牌所占比例较小的特点,提出了一种确定基元分类阈值的二值化方法;根据车牌字符分布规律,提出了二值纹理基元分析方法,提取车牌候选区域;基于小波分析提取车牌区域竖笔画特征,采用隶属度定量表征车牌竖笔画特征、位置特征及形状特征,给出综合这些特征、从候选区域提取车牌区域的方法。测试结果表明,该方法正确定位率超过96%
Tae Un PAK; Guk Rae JO; Un Chol HAN
《结构与土木工程前沿(英文)》 2022年 第16卷 第8期 页码 1029-1039 doi: 10.1007/s11709-022-0861-x
关键词: wavelet analysis blast-induced vibration frequency characteristics underground excavation
廖小云,唐倩,赵英,郑世泽
《中国工程科学》 2002年 第4卷 第5期 页码 75-78
对几何型面加工误差提出并建立了基于分形和小波的综合分析方法,可以精细分析几何型面加工误差的微细成分,并重构出型面轮廓加工误差曲线,以便进行公差与性能关系分析以及加工过程质量监控等相关工作。应用实例表明,该方法是非常有效的。
Combustion instability detection using the wavelet detail of pressure fluctuations
JI Junjie, LUO Yonghao
《能源前沿(英文)》 2008年 第2卷 第1期 页码 116-120 doi: 10.1007/s11708-008-0019-0
关键词: comparison wavelet approximation pressure transducer general pressure consistent
High resolution satellite imaging sensors for precision agriculture
Chenghai YANG
《农业科学与工程前沿(英文)》 2018年 第5卷 第4期 页码 393-405 doi: 10.15302/J-FASE-2018226
The central concept of precision agriculture is to manage within-field soil and crop growth variability for more efficient use of farming inputs. Remote sensing has been an integral part of precision agriculture since the farming technology started developing in the mid to late 1980s. Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and more recently, unmanned aircraft have been used for precision agriculture applications. Original satellite sensors, such as Landsat and SPOT, have commonly been used for agricultural applications over large geographic areas since the 1970s, but they have limited use for precision agriculture because of their relatively coarse spatial resolution and long revisit time. Recent developments in high resolution satellite sensors have significantly narrowed the gap in spatial resolution between satellite imagery and airborne imagery. Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial high resolution satellite sensors have become available. These imaging sensors not only provide images with high spatial resolution, but can also repeatedly view the same target area. The high revisit frequency and fast data turnaround time, combined with their relatively large aerial coverage, make high resolution satellite sensors attractive for many applications, including precision agriculture. This article will provide an overview of commercially available high resolution satellite sensors that have been used or have potential for precision agriculture. The applications of these sensors for precision agriculture are reviewed and application examples based on the studies conducted by the author and his collaborators are provided to illustrate how high resolution satellite imagery has been used for crop identification, crop yield variability mapping and pest management. Some challenges and future directions on the use of high resolution satellite sensors and other types of remote sensors for precision agriculture are discussed.
关键词: high resolution satellite sensor multispectral imagery precision agriculture spatial resolution temporal resolution
文立华,任兴民
《中国工程科学》 2002年 第4卷 第8期 页码 63-68
文章提出将子波分析用于求解声学中的边界积分方程,能提高现有边界元方法解决工程问题的能力。在子波分析于声辐射和声散射的应用研究中,提出了把积分核函数用级数展开,建立频率响应函数计算的频率迭代技术,大大提高了频率响应函数的计算效率。讨论了子波分析在声学工程数值计算中的研究前景。
标题 作者 时间 类型 操作
Multi-resolution texture synthesis from turntable image sequences
Xuedong WANG, Xiaojun WU, Xiaorong ZHANG
期刊论文
一种基于多分辨率分解和去相关的模块化安全性与鲁棒性彩色图像水印方案
Muhammad IMRAN, Bruce A. HARVEY, Muhammad ATIF, Adnan Ali MEMON
期刊论文
Detection for transverse corner cracks of steel plates’ surface using wavelet
Qiong ZHOU, Qi AN
期刊论文
Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model
Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG
期刊论文
Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelet
Tae Un PAK; Guk Rae JO; Un Chol HAN
期刊论文
Combustion instability detection using the wavelet detail of pressure fluctuations
JI Junjie, LUO Yonghao
期刊论文