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Review of Anomaly Detection Systems in Industrial Control Systems Using Deep Feature Learning Approach 认领
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作者 Raogo Kabore Adlès Kouassi +3 位作者 Rodrigue N’goran Olivier Asseu Yvon Kermarrec Philippe Lenca 《工程(英文)(1947-3931)》 2021年第1期30-44,共15页
Industrial Control Systems (ICS) or SCADA networks are increasingly targeted by cyber-attacks as their architectures shifted from proprietary hardware, software and protocols to standard and open sources ones. Further... Industrial Control Systems (ICS) or SCADA networks are increasingly targeted by cyber-attacks as their architectures shifted from proprietary hardware, software and protocols to standard and open sources ones. Furthermore, these systems which used to be isolated are now interconnected to corporate networks and to the Internet. Among the countermeasures to mitigate the threats, anomaly detection systems play an important role as they can help detect even unknown attacks. Deep learning which has gained a great attention in the last few years due to excellent results in image, video and natural language processing is being used for anomaly detection in information security, particularly in SCADA networks. The salient features of the data from SCADA networks are learnt as hierarchical representation using deep architectures, and those learnt features are used to classify the data into normal or anomalous ones. This article is a review of various architectures such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Stacked Autoencoder (SAE), Long Short Term Memory (LSTM), or a combination of those architectures, for anomaly detection purpose in SCADA networks. 展开更多
关键词 ICS SCADA Unsupervised Feature Learning Deep Learning Anomaly Detection
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Detection of Multiscale Center Point Objects Based on Parallel Network 认领
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作者 Hao Chen Hong Zheng Xiaolong Li 《人工智能技术学报(英文)》 2021年第1期68-73,共6页
Anchor-based detectors are widely used in object detection.To improve the accuracy of object detection,multiple anchor boxes are intensively placed on the input image,yet.Most of which are invalid.Although the anchor-... Anchor-based detectors are widely used in object detection.To improve the accuracy of object detection,multiple anchor boxes are intensively placed on the input image,yet.Most of which are invalid.Although the anchor-free method can reduce the number of useless anchor boxes,the invalid ones still occupy a high proportion.On this basis,this paper proposes a multiscale center point object detection method based on parallel network to further reduce the number of useless anchor boxes.This study adopts the parallel network architecture of hourglass-104 and darknet-53 of which the first one outputs heatmaps to generate the center point for object feature location on the output attribute feature map of darknet-53.Combining feature pyramid and CIoU loss function,this algorithm is trained and tested on MSCOCO dataset,increasing the detection rate of target location and the accuracy rate of small object detection.Though resembling the state-of-the-art two-stage detectors in overall object detection accuracy,this algorithm is superior in speed. 展开更多
关键词 deep learning heatmap feature pyramid networks object detection center point
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聚羧酸的分子设计与功能研究进展 认领
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作者 李烜东 邵翔 +2 位作者 孙德文 亓帅 闫福兵 《广州化工》 CAS 2021年第4期25-28,共4页
聚羧酸分子具有强大的设计能力,可通过改变分子的链结构、调节分子量及分布,引入特殊官能团等化学手段对聚羧酸进行修饰改性,从而制备出适应不同使用环境的功能型聚羧酸减水剂。本文讨论了保坍型、早强型、抗泥型和缓凝型聚羧酸的结构特... 聚羧酸分子具有强大的设计能力,可通过改变分子的链结构、调节分子量及分布,引入特殊官能团等化学手段对聚羧酸进行修饰改性,从而制备出适应不同使用环境的功能型聚羧酸减水剂。本文讨论了保坍型、早强型、抗泥型和缓凝型聚羧酸的结构特点,对具有这些性能的原因进行了简析,最后对聚羧酸减水剂的发展进行了展望:聚羧酸减水剂将会向多元功能化、绿色环保化、高效产业化发展。 展开更多
关键词 聚羧酸减水剂 分子结构 功能性
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Wind speed prediction based on nested shared weight long short-term memory network 认领
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作者 Han Fengquan Han Yinghua +1 位作者 Lu Jing Zhao Qiang 《中国邮电高校学报:英文版》 EI 2021年第1期41-51,共11页
With the expansion of wind speed data sets, decreasing model training time is of great significance to the time cost of wind speed prediction. And imperfection of the model evaluation system also affect the wind speed... With the expansion of wind speed data sets, decreasing model training time is of great significance to the time cost of wind speed prediction. And imperfection of the model evaluation system also affect the wind speed prediction. To address these challenges, a hybrid method based on feature extraction, nested shared weight long short-term memory(NSWLSTM) network and Gaussian process regression(GPR) was proposed. The feature extraction of wind speed promises the best performance of the model. NSWLSTM model reduces the training time of long short-term memory(LSTM) network and improves the prediction accuracy. Besides, it adopted a method combined NSWLSTM with GPR(NSWLSTM-GPR) to provide the probabilistic prediction of wind speed. The probabilistic prediction can provide information that deviates from the predicted value, which is conducive to risk assessment and optimal scheduling. The simulation results show that the proposed method can obtain high-precision point prediction, appropriate prediction interval and reliable probabilistic prediction results with shorter training time on the wind speed prediction. 展开更多
关键词 wind speed prediction feature extraction long short-term memory(LSTM)network shared weight forecast uncertainty
莫友芝《黔诗纪略》“存人”“存诗”特征考论 认领
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作者 何水英 《黑龙江工业学院学报:综合版》 2021年第1期132-137,共6页
莫友芝所辑《黔诗纪略》是贵州古代重要的诗歌文献,目前学界对该集“因诗存人”“因人存诗”的理解众说纷纭。通过对《黔诗纪略》文本考察,可知《黔诗纪略》“因诗存人”主要是以稀有之诗存濒临失考的诗人,兼有藉诗之精华存有善誉之人... 莫友芝所辑《黔诗纪略》是贵州古代重要的诗歌文献,目前学界对该集“因诗存人”“因人存诗”的理解众说纷纭。通过对《黔诗纪略》文本考察,可知《黔诗纪略》“因诗存人”主要是以稀有之诗存濒临失考的诗人,兼有藉诗之精华存有善誉之人的特点。“因人存诗”则是依有嘉誉之诗人,或存其全诗,或择善而存。“存人”“存诗”之法各有利弊,莫友芝二法并用,有兼两者之美之意图。 展开更多
关键词 莫友芝 《黔诗纪略》 存人 存诗 特征
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基于中心向量的KNN分类方法在城市属性信息获取中的应用 认领
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作者 王海涛 向竹君 +1 位作者 刘健 袁建锋 《测绘与空间地理信息》 2021年第3期16-20,25,共6页
当前,利用非结构化数据进行信息提取是地理信息领域的研究热点。针对这一热点,本文提出了基于中心向量的KNN分类方法。首先,对向量空间模型的特征项选择及权重计算方法进行了改进;其次,利用KNN算法对非结构化数据进行了分类与排序;最后... 当前,利用非结构化数据进行信息提取是地理信息领域的研究热点。针对这一热点,本文提出了基于中心向量的KNN分类方法。首先,对向量空间模型的特征项选择及权重计算方法进行了改进;其次,利用KNN算法对非结构化数据进行了分类与排序;最后,以与郑州市相关的200篇网络资源为非结构数据语料库进行验证。实验表明:该方法能够有效地提取非结构数据的城市属性信息,计算效率较高,实用性较强。 展开更多
关键词 向量空间模型 KNN 非结构数据 特征项 属性信息提取
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新闻特稿在中国的不同理解与实践 认领
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作者 白净 刘子淳 《青年记者》 北大核心 2021年第1期49-52,共4页
在新闻实践中,不同媒体对特稿的理解有较大差异。新华社特稿大多是对重要事件的报道,风格类似通讯;财新特稿是重要的深度报道,风格类似调查报道和解释性报道;南方周末特稿更强调报道的故事性和文学性。由于我国没有对“特稿”定义进行固... 在新闻实践中,不同媒体对特稿的理解有较大差异。新华社特稿大多是对重要事件的报道,风格类似通讯;财新特稿是重要的深度报道,风格类似调查报道和解释性报道;南方周末特稿更强调报道的故事性和文学性。由于我国没有对“特稿”定义进行固定,加之“特稿”一词含义丰富,所以媒体按照各自理解进行特稿实践。 展开更多
关键词 新闻写作 特稿 feature story 非虚构 讲故事
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瑞典绩效审计的发展和启示 认领
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作者 袁石慧 《对外经贸》 2021年第1期19-22,共4页
目前,政府绩效审计的重要程度日益凸显,政府审计的重点也从财务审计逐渐向绩效审计转变。但是政府绩效审计在我国起步较晚,目前尚处于发展阶段,与之相关的理论成果尚不丰富,无法满足现实需要,绩效审计的法律法规、体系框架和评价标准等... 目前,政府绩效审计的重要程度日益凸显,政府审计的重点也从财务审计逐渐向绩效审计转变。但是政府绩效审计在我国起步较晚,目前尚处于发展阶段,与之相关的理论成果尚不丰富,无法满足现实需要,绩效审计的法律法规、体系框架和评价标准等的建设仍待完善。西欧部分国家政府绩效审计的研究与实践起步较早,现已日趋成熟,学习他们的绩效审计经验,对我国绩效审计的理论发展和实践探索有着重要的意义。通过概括瑞典在绩效审计机制现状和发展历史方面的内容,分析其发展变迁的特征,总结瑞典绩效审计成果的经验,尝试从中提取出部分对我国政府绩效审计发展大有裨益的启发。瑞典在2003年之前的行政型审计体制模式与我国目前的审计状况有很大相通之处,其后续向立法型审计体制的转型相当成功,政府绩效审计成果显著并积累了丰富经验。以瑞典的政府绩效审计为研究对象,通过分析瑞典政府绩效审计模式的现状,研究其形成和发展的主要特点,尝试从中总结出适合于我国现阶段政府绩效审计发展的经验。 展开更多
关键词 政府绩效审计 瑞典 特点 经验 启示
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Individual Identification of Electronic Equipment Based on Electromagnetic Fingerprint Characteristics 认领
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作者 Han Xu Hongxin Zhang +3 位作者 Jun Xu Guangyuan Wang Yun Nie Hua Zhang 《中国通信:英文版》 SCIE 2021年第1期169-180,共12页
With the rapid development of communication and computer,the individual identification technology of communication equipment has been brought to many application scenarios.The identification of the same type of electr... With the rapid development of communication and computer,the individual identification technology of communication equipment has been brought to many application scenarios.The identification of the same type of electronic equipment is of considerable significance,whether it is the identification of friend or foe in military applications,identity determination,radio spectrum management in civil applications,equipment fault diagnosis,and so on.Because of the limited-expression ability of the traditional electromagnetic signal representation methods in the face of complex signals,a new method of individual identification of the same equipment of communication equipment based on deep learning is proposed.The contents of this paper include the following aspects:(1)Considering the shortcomings of deep learning in processing small sample data,this paper provides a universal and robust feature template for signal data.This paper constructs a relatively complete signal template library from multiple perspectives,such as time domain and transform domain features,combined with high-order statistical analysis.Based on the inspiration of the image texture feature,characteristics of amplitude histogram of signal and the signal amplitude co-occurrence matrix(SACM)are proposed in this paper.These signal features can be used as a signal fingerprint template for individual identification.(2)Considering the limitation of the recognition rate of a single classifier,using the integrated classifier has achieved better generalization ability.The final average accuracy of 5 NRF24LE1 modules is up to 98%and solved the problem of individual identification of the same equipment of communication equipment under the condition of the small sample,low signal-to-noise ratio. 展开更多
关键词 signal fingerprints histogram-based signal feature starting point detection signal level cooccurrence matrix ensemble Learningn
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全局视域下基于流特征的约束性QoE算法 认领
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作者 林国勇 《计算机应用与软件》 北大核心 2021年第1期272-279,共8页
随着云计算技术和大数据技术在网络上的部署,传统的数据中心网络(DCN)已不足以应对这些技术带来的用户体验(QoE)挑战。结合软件定义胖树结构在保障随机突发数据流调度方面的优势,提出一种在时域门限约束的前提下对随机突发流进行感知和... 随着云计算技术和大数据技术在网络上的部署,传统的数据中心网络(DCN)已不足以应对这些技术带来的用户体验(QoE)挑战。结合软件定义胖树结构在保障随机突发数据流调度方面的优势,提出一种在时域门限约束的前提下对随机突发流进行感知和疏导的方案。在最小化全网资源开销的前提下参考控制器实时侦听到的全网状态参量,将提取的数据流量载荷特征作为感知流规模的依据,并对不同规模特征的流进行资源需求分析。构建算法数学模型求出目标收敛函数,进而为不同特征的随机突发数据流规划出科学的路由局向。通过搭建实验模型考察QoE算法方案的全局性和高效性。经数据考察表明,该QoE算法可兼顾不同特征流的承载质量,且相对于传统的研究,在流承载保障方面贡献度最大。 展开更多
关键词 全局 特征 约束 权衡 适应性
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Image Classification with Superpixels and Feature Fusion Method 认领
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作者 Feng Yang Zheng Ma Mei Xie 《电子科技学刊:英文版》 CAS 2021年第1期70-78,共9页
This paper presents an effective image classification algorithm based on superpixels and feature fusion.Differing from classical image classification algorithms that extract feature descriptors directly from the origi... This paper presents an effective image classification algorithm based on superpixels and feature fusion.Differing from classical image classification algorithms that extract feature descriptors directly from the original image,the proposed method first segments the input image into superpixels and,then,several different types of features are calculated according to these superpixels.To increase classification accuracy,the dimensions of these features are reduced using the principal component analysis(PCA)algorithm followed by a weighted serial feature fusion strategy.After constructing a coding dictionary using the nonnegative matrix factorization(NMF)algorithm,the input image is recognized by a support vector machine(SVM)model.The effectiveness of the proposed method was tested on the public Scene-15,Caltech-101,and Caltech-256 datasets,and the experimental results demonstrate that the proposed method can effectively improve image classification accuracy. 展开更多
关键词 Dimension reduction feature fusion image classification.
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新时代优秀传统武术文化课程建设的研究 认领
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作者 武俊清 《中华武术》 2021年第1期95-97,共3页
本文以"核心要素"为视角,深入挖掘地方性传统武术文化资源,旨在构建具有武术文化特色的校本课程体系,形成学生人人都会传统武术、传承发展中华优秀传统文化的良好校园环境,让传统武术文化在校园真正实现"活起来、传下去&... 本文以"核心要素"为视角,深入挖掘地方性传统武术文化资源,旨在构建具有武术文化特色的校本课程体系,形成学生人人都会传统武术、传承发展中华优秀传统文化的良好校园环境,让传统武术文化在校园真正实现"活起来、传下去",发挥育人功能。 展开更多
关键词 新时代 优秀传统文化 校本课程 特性
全球路论纲 认领
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作者 肖君和 《佛山科学技术学院学报:社会科学版》 2021年第1期19-28,共10页
作为理论构想,“全球路”源自马克思发现的“社会经济形态的发展”的“自然历史过程”,以及恩格斯所说的社会经济形态、经济状况发展中“同时发生的种种变化”。“全球路”概念有特定的含义和对象。作为真实的存在,全球路有自己的形成... 作为理论构想,“全球路”源自马克思发现的“社会经济形态的发展”的“自然历史过程”,以及恩格斯所说的社会经济形态、经济状况发展中“同时发生的种种变化”。“全球路”概念有特定的含义和对象。作为真实的存在,全球路有自己的形成前提和前身、实质、起点、主干、引导、根本特征、基本特征、目的地、性质和规律。当下,全球路还有与“构建人类命运共同体”紧紧联系着的它的现状和怎么走的问题,以及全球治理、反对恐怖主义、中国路、霍金预言、抵抗包括新冠疫情在内的瘟疫等实际问题。因此,应该对全球路进行更加全面而深入的研究。 展开更多
关键词 全球路 实质 主干 特征 实际问题
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Multi-objective optimization of feature selection using hybrid cat swarm optimization 认领
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作者 GAO Xiao-Zhi NALLURI Madhu Sudana Rao +1 位作者 KANNAN K SINHAROY Diptendu 《中国科学:技术科学英文版》 SCIE EI CAS 2021年第3期508-520,共13页
With the pervasive generation of information from a wide range of sensors and devices,there always exist a large number of input features in databases,thus complicating machine learning problem formulation.However,cer... With the pervasive generation of information from a wide range of sensors and devices,there always exist a large number of input features in databases,thus complicating machine learning problem formulation.However,certain features are relatively impertinent to specific problems,which may degrade the performances of classifiers in terms of prediction accuracy,sensitivity,specificity,and recall rate.The main goal of a multi-objective optimization problem is to identify the subsets of the given features.To this end,a hybrid cat swarm optimization(HCSO)algorithm is proposed in our paper for performance improvement of the basic cat swarm optimization(CSO)that incorporates guided and competitive&inherent characteristics into the original CSO.The performance of HCSO has been tested by finding the optimal feature subset for 15 benchmark datasets.The number of class labels for these datasets varies between 2 and 40.The time complexity analysis of both CSO and HCSO has also been evaluated.Moreover,the performance of the proposed algorithm has been compared with that of simple CSO and other state-ofthe-art techniques.The performances obtained by HCSO have an average 2.68%improvement with a standard deviation of 2.91.The maximum performance improvement is up to 10.09%in prediction accuracy.Tested on the same datasets,CSO has yielded improvements within the range of-7.27%to 8.51%with an average improvement 0.9%and standard deviation 3.96.The statistical tests carried out in the experiments prove that HCSO manifests a moderately better feature selection capacity than that of its counterparts. 展开更多
关键词 feature selection COMPETITION cat swarm optimization guided search parameter evolution
不同中医辨证分型NAFLD患者CT影像学特点分析 认领
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作者 许磊磊 许冠英 +1 位作者 江凯 鲍亚星 《实用肝脏病杂志》 CAS 2021年第2期216-219,共4页
目的研究不同中医辨证分型的非酒精性脂肪性肝病(NAFLD)患者电子计算机断层扫描(CT)影像学特点及临床意义。方法2017年1月~2020年1月我院收治的NAFLD患者240例,采用中医辨证分型方法分为肝郁脾虚证组72例、痰湿内阻证组34例、湿热内蕴证... 目的研究不同中医辨证分型的非酒精性脂肪性肝病(NAFLD)患者电子计算机断层扫描(CT)影像学特点及临床意义。方法2017年1月~2020年1月我院收治的NAFLD患者240例,采用中医辨证分型方法分为肝郁脾虚证组72例、痰湿内阻证组34例、湿热内蕴证组89例、痰瘀互结证组31例和肝肾不足证组14例,均接受CT检查。结果肝郁脾虚证组CT分度为轻度所占比例为88.9%,显著高于痰湿内阻证组、湿热内蕴证组、痰瘀互结证组和肝肾不足证组的17.6%、25.8%、6.5%和0.0%(P<0.05);肝肾不足证组重度脂肪肝比例为85.7%,痰湿内阻证组为51.6%,显著高于肝郁脾虚证组的0.0%、痰湿内阻证组的8.8%和湿热内蕴证组的15.7%(P<0.05);肝郁脾虚证组肝脏CT值为(42.4±4.7)HU,痰湿内阻证组为(37.0±5.6)HU,均显著高于湿热内蕴证组、痰瘀互结证组和肝肾不足证组【分别为(32.0±5.8)HU、(27.0±6.2)HU和(22.8±7.9)HU,P<0.05】,而肝/脾CT比值分别为为(0.8±0.1)和(0.7±0.2),显著高于湿热内蕴证组、痰瘀互结证组和肝肾不足证组【分别为(0.6±0.1)、(0.5±0.1)和(0.4±0.1),P<0.05】。结论不同中医证型的NAFLD患者CT表现有所区别,了解这些特征可能对辨证施治有帮助。 展开更多
关键词 非酒精性脂肪性肝病 中医证型 电子计算机断层扫描 特征
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文章速递Orientation Field Code Hashing:A Novel Method for Fast Palmprint Identification 认领
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作者 Xi Chen Ming Yu +1 位作者 Feng Yue Bin Li 《自动化学报:英文版》 SCIE EI CSCD 2021年第5期1038-1051,共14页
For a large-scale palmprint identification system,it is necessary to speed up the identification process to reduce the response time and also to have a high rate of identification accuracy.In this paper,we propose a n... For a large-scale palmprint identification system,it is necessary to speed up the identification process to reduce the response time and also to have a high rate of identification accuracy.In this paper,we propose a novel hashing-based technique called orientation field code hashing for fast palmprint identification.By investigating hashing-based algorithms,we first propose a double-orientation encoding method to eliminate the instability of orientation codes and make the orientation codes more reasonable.Secondly,we propose a window-based feature measurement for rapid searching of the target.We explore the influence of parameters related to hashing-based palmprint identification.We have carried out a number of experiments on the Hong Kong Poly U large-scale database and the CASIA palmprint database plus a synthetic database.The results show that on the Hong Kong Poly U large-scale database,the proposed method is about 1.5 times faster than the state-of-the-art ones,while achieves the comparable identification accuracy.On the CASIA database plus the synthetic database,the proposed method also achieves a better performance on identification speed. 展开更多
关键词 Biometric system hashing orientation feature palmprint identification
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文章速递DFF-EDR:An Indoor Fingerprint Location Technology Using Dynamic Fusion Features of Channel State Information and Improved Edit Distance on Real Sequence 认领
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作者 Ke Han Yunfei Xu +1 位作者 Zhongliang Deng Jiawei Fu 《中国通信:英文版》 SCIE CSCD 2021年第4期40-63,共24页
Positioning technology based on wireless network signals in indoor environments has developed rapidly in recent years as the demand for locationbased services continues to increase.Channel state information(CSI)can be... Positioning technology based on wireless network signals in indoor environments has developed rapidly in recent years as the demand for locationbased services continues to increase.Channel state information(CSI)can be used as location feature information in fingerprint-based positioning systems because it can reflect the characteristics of the signal on multiple subcarriers.However,the random noise contained in the raw CSI information increases the likelihood of confusion when matching fingerprint data.In this paper,the Dynamic Fusion Feature(DFF)is proposed as a new fingerprint formation method to remove the noise and improve the feature resolution of the system,which combines the pre-processed amplitude and phase data.Then,the improved edit distance on real sequence(IEDR)is used as a similarity metric for fingerprint matching.Based on the above studies,we propose a new indoor fingerprint positioning method,named DFF-EDR,for improving positioning performance.During the experimental stage,data were collected and analyzed in two typical indoor environments.The results show that the proposed localization method in this paper effectively improves the feature resolution of the system in terms of both fingerprint features and similarity measures,has good anti-noise capability,and effectively reduces the localization errors. 展开更多
关键词 channel state information indoor positioning edit distance on real sequence dynamic parameters feature resolution
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文章速递Short-Term Visual Experience Leads to Potentiation of Spontaneous Activity in Mouse Superior Colliculus 认领
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作者 Qingpeng Yu Hang Fu +2 位作者 Gang Wang Jiayi Zhang Biao Yan 《神经科学通报:英文版》 SCIE CAS CSCD 2021年第3期353-368,共16页
Spontaneous activity in the brain maintains an internal structured pattern that reflects the external environment,which is essential for processing information and developing perception and cognition.An essential prer... Spontaneous activity in the brain maintains an internal structured pattern that reflects the external environment,which is essential for processing information and developing perception and cognition.An essential prerequisite of spontaneous activity for perception is the ability to reverberate external information,such as by potentiation.Yet its role in the processing of potentiation in mouse superior colliculus(SC)neurons is less studied.Here,we used electrophysiological recording,optogenetics,and drug infusion methods to investigate the mechanism of potentiation in SC neurons.We found that visual experience potentiated SC neurons several minutes later in different developmental stages,and the similarity between spontaneous and visually-evoked activity increased with age.Before eye-opening,activation of retinal ganglion cells that expressed ChR2 also induced the potentiation of spontaneous activity in the mouse SC.Potentiation was dependenton stimulus number and showed feature selectivity for direction and orientation.Optogenetic activation of parvalbumin neurons in the SC attenuated the potentiation induced by visual experience.Furthermore,potentiation in SC neurons was blocked by inhibiting the glutamate transporter GLT1.These results indicated that the potentiation induced by a visual stimulus might play a key role in shaping the internal representation of the environment,and serves as a carrier for short-term memory consolidation. 展开更多
关键词 Spontaneous activity Visual experience Potentiation Superior colliculus Feature selectivity Glutamate homeostasis
文章速递Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 认领
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作者 Wen-Han Zhu Wei Sun +2 位作者 Xiong-Kuo Min Guang-Tao Zhai Xiao-Kang Yang 《国际自动化与计算杂志:英文版》 EI CSCD 2021年第2期204-218,共15页
Objective image quality assessment(IQA)plays an important role in various visual communication systems,which can automatically and efficiently predict the perceived quality of images.The human eye is the ultimate eval... Objective image quality assessment(IQA)plays an important role in various visual communication systems,which can automatically and efficiently predict the perceived quality of images.The human eye is the ultimate evaluator for visual experience,thus the modeling of human visual system(HVS)is a core issue for objective IQA and visual experience optimization.The traditional model based on black box fitting has low interpretability and it is difficult to guide the experience optimization effectively,while the model based on physiological simulation is hard to integrate into practical visual communication services due to its high computational complexity.For bridging the gap between signal distortion and visual experience,in this paper,we propose a novel perceptual no-reference(NR)IQA algorithm based on structural computational modeling of HVS.According to the mechanism of the human brain,we divide the visual signal processing into a low-level visual layer,a middle-level visual layer and a high-level visual layer,which conduct pixel information processing,primitive information processing and global image information processing,respectively.The natural scene statistics(NSS)based features,deep features and free-energy based features are extracted from these three layers.The support vector regression(SVR)is employed to aggregate features to the final quality prediction.Extensive experimental comparisons on three widely used benchmark IQA databases(LIVE,CSIQ and TID2013)demonstrate that our proposed metric is highly competitive with or outperforms the state-of-the-art NR IQA measures. 展开更多
关键词 Image quality assessment(IQA) no-reference(NR) structural computational modeling human visual system visual feature extraction
文章速递Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories 认领
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作者 Zhen-Yi Zhao Yang Cao +1 位作者 Yu Kang Zhen-Yi Xu 《国际自动化与计算杂志:英文版》 EI CSCD 2021年第2期219-232,共14页
With the rapid increase of the amount of vehicles in urban areas,the pollution of vehicle emissions is becoming more and more serious.Precise prediction of the spatiotemporal evolution of urban traffic emissions plays... With the rapid increase of the amount of vehicles in urban areas,the pollution of vehicle emissions is becoming more and more serious.Precise prediction of the spatiotemporal evolution of urban traffic emissions plays a great role in urban planning and policy making.Most existing methods usually focus on estimating vehicle emissions at historical or current moments which cannot well meet the demands of future planning.Recent work has started to pay attention to the evolution of vehicle emissions at future moments using multiple attributes related to emissions,however,they are not effective and efficient enough in the combination and utilization of different inputs.To address this issue,we propose a joint framework to predict the future evolution of vehicle emissions based on the GPS trajectories of taxis with a multi-channel spatiotemporal network and the motor vehicle emission simulator(MOVES)model.Specifically,we first estimate the spatial distribution matrices with GPS trajectories through map-matching algorithms.These matrices can reflect the attributes related to the traffic status of road networks such as volume,speed and acceleration.Then,our multi-channel spatiotemporal network is used to efficiently combine three key attributes(volume,speed and acceleration)through the feature sharing mechanism and generate a precise prediction of them in the future period.Finally,we adopt an MOVES model to estimate vehicle emissions by integrating several traffic factors including the predicted traffic states,road networks and the statistical information of urban vehicles.We evaluate our model on the Xi′an taxi GPS trajectories dataset.Experiments show that our proposed network can effectively predict the temporal evolution of vehicle emissions. 展开更多
关键词 Vehicle emission prediction spatiotemporal gragh convolution GPS trajectories motor vehicle emission simulator(MOVES)model feature sharing
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