检索结果-内蒙古大学图书馆

Subnormal Distribution Derived From Evolving Networks With Variable Elements

IEEE TRANSACTIONS ON CYBERNETICS 2018年第9期48卷 2556-2568页

作者： Feng, Minyu Qu, Hong Yi, Zhang Kurths, Juergen School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China College of Computer Science Sichuan University Chengdu China Institute for Complex System and Mathematical Biology University of Aberdeen Aberdeen U.K.

During the past decades, power-law distributions have played a significant role in analyzing the topology of scale-free networks. However, in the observation of degree distributions in practical networks and other nonuniform distributions such as the wealth distribution, we discover that, there exists a peak at the beginning of most real distributions, which cannot be accurately described by a monotonic decreasing power-law distribution. To better describe the real distributions, in this paper, we propose a subnormal distribution derived from evolving networks with variable elements and study its statistical properties for the first time. By utilizing this distribution, we can precisely describe those distributions commonly existing in the real world, e.g., distributions of degree in social networks and personal wealth. Additionally, we fit connectivity in evolving networks and the data observed in the real world by the proposed subnormal distribution, resulting in a better performance of fitness.

关键词： Degree distribution evolving networks Gibrat's law power-law distribution probability theory

来源：评论

学校读者我要写书评

暂无评论

Transient Fault Diagnosis Algorithm based on Feature Classification and Its Application in High-Power Laser facility

Transient Fault Diagnosis Algorithm based on Feature Classif...

引用

Chinese Control and Decision Conference, CCDC

作者： Qiang Ren Hang Gao Hailei Ren Baoran An Tianyou Yun Xiaoli Wang Institute of Computer Application China Academy of Engineering Physics Mianyang State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha Institute of Fluid Physics China Academy of Engineering Physis MianYang China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

High-power laser facility plays an import role both in scientific research and military application, and the occurred faults are usually transient. In this paper, a transient fault diagnosis algorithm based on feature classification is proposed, and the algorithm has been applied in the high-power laser facility. The method extracts the features of input data with an autoencoder network. And based on the extracted features, a multi-layer full connection neural network is adopted for fault diagnosis. By comparing the results with those obtained by traditional fault diagnosis methods, the performance of the algorithm has been verified.

关键词： Feature extraction Fault diagnosis Circuit faults Neural networks Principal component analysis Kernel Transient analysis

来源：评论

学校读者我要写书评

暂无评论

Reasearch on dynamic evolution model visualization of satellite communication network based on complex network 3

Reasearch on dynamic evolution model visualization of satell...

引用

3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Liu, Chengxiang Xiong, Wei Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

In order to explore the dynamic evolution of satellite communication network, this paper carried out a visualization study on the dynamic evolution model of satellite communication network based on complex network theory. By constructing reasonable visual mission view and status view, the paper analyzes the properties of satellite communication network and also uses complex network theory to improve the modeling. Through the rule design and algorithm derivation of dynamic evolution model, it analyzes the detailed steps of the dynamic evolution of satellite communication network. By the experiments, it is proved that the dynamic evolution visualization model of satellite communication network conforms to the power law distribution of complex network, which lays a solid foundation for the follow-up study of satellite communication network. © 2018 IEEE.

关键词： complex networks

来源：评论

学校读者我要写书评

暂无评论

Selection of the Optimal Hyperspectral Bands to Retrieve Spatiotemporal Cdom Distribution Using Machine Learning in a Reservoir

SSRN

引用

SSRN 2022年

作者： Kim, Jinuk Jang, Wonjin Kim, Jin Hwi Lee, Jiwan Cho, Kyung Hwa Lee, Yong-Gu Chon, Kangmin Park, Sanghyun Pyo, JongCheol Park, Yongeun Kim, Seongjoon School of Civil and Environmental Engineering Konkuk University Seoul05029 Korea Republic of School of Urban and Environmental Engineering Ulsan National Institute of Science and Technology Ulsan44919 Korea Republic of Department of Environmental Engineering Kangwon National University Gangwon-do 24341 Korea Republic of Department of Integrated Energy and Infra System Kangwon National University Gangwon-do 24341 Korea Republic of Water Quality Assessment Research Division National Institute of Environmental Research Environmental Research Complex Incheon22689 Korea Republic of Center for Environmental Data Strategy Korea Environment Institute Sejong30147 Korea Republic of

Colored dissolved organic matter (CDOM) in inland waters is used as a proxy to estimate dissolved organic carbon (DOC) and may be a key indicator of water quality and nutrient enrichment. However, to effectively retrieve CDOM, the wavelength of the absorption coefficient and input wavelength bands to construct algorithms can be highly variable. In this study, we proposed the effective wavelength band to detect the CDOM absorption coefficient and the best combination of input wavelength bands to construct a CDOM retrieval algorithm using a random forest. Seven sampling events for airborne hyperspectral imagery and CDOM absorption coefficient data from 350 nm to 440 nm over two years (2016–2017) were used, and the collected data helped train and validate the random forest model in a freshwater reservoir. An absorption coefficient of 355 nm was selected to best represent the CDOM concentration. The random forest exhibited the best performance for CDOM estimation with an R2 of 0.85, Nash-Sutcliffe efficiency of 0.77, and percent bias of 3.88, by using a combination of three reflectance bands: 475, 497, and 660 nm. The verification of a wavelength value of the CDOM absorption coefficient in remote sensing has room to be used as a reference value, and it shows the possibility of being utilized in the construction of CDOM retrieving algorithm and spatial distribution. © 2022, The Authors. All rights reserved.

关键词： Reflection

来源：评论

学校读者我要写书评

暂无评论

A multi-layer network topology visualization layout based on Louvain community detection 3

A multi-layer network topology visualization layout based on...

引用

3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Zhang, Xitao Wu, Lingda Yao, Zhonghua Yu, Shaobo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

Community is one of the most important structure features of complex networks. It has important research significance for topological structure analysis, behavior prediction, cascading failure, percolation and spreading of multi-layer networks. Aiming at the problem that the existing multi-layer network visualization can't clearly show the community structure, a multi-layer network topology visualization layout based on Louvain community detection is proposed. Firstly, a complex network community discovery algorithm (Louvain) is used to perform the multi-layer network nodes at each layer and the community affiliation of the nodes is obtained at each layer;then, based on the traditional force-directed layout, the community force is added to the internal nodes of the community, so that all the nodes that belong to the same community are gathered to the community center, so as to achieve the effect of displaying the network community structure. The simulation results show that the algorithm has the characteristics of faster convergence and clearer community structure than the traditional visual layout algorithm. © 2018 IEEE.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

Continuous and comprehensive atmospheric observations in Beijing:a station to understand the complex urban atmospheric environment

引用

Big Earth Data 2020年第3期4卷 295-321页

作者： Yongchun Liu Chao Yan Zemin Feng Feixue Zheng Xiaolong Fan Yusheng Zhang Chang Li Ying Zhou Zhuohui Lin Yishou Guo Ying Zhang Li Ma Wenshuo Zhou Zhikun Liu Lubna Dada Kaspar Dallenbach Jenni Kontkanen Runlong Cai Tommy Chan Biwu Chu Wei Du Lei Yao Yonghong Wang Jing Cai Juha Kangasluoma Tom Kokkonen Joni Kujansuu Anton Rusanen Chenjuan Deng Yueyun Fu Rujing Yin Xiaoxiao Li Yiqun Lu Yiliang Liu Chaofan Lian Dongsen Yang Weigang Wang Maofa Ge Yuesi Wang Douglas R.Worsnop Heikki Junninen Hong He Veli-Matti Kerminen Jun Zheng Lin Wang Jingkun Jiang Tuukka Petaja Federico Bianchi Markku Kulmala Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijingChina Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiHelsinkiFinland State Key Joint Laboratory of Environment Simulation and Pollution Control State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBeijingChina State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina Department of Environmental Science&Engineering Fudan UniversityShanghaiChina State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijingChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science&TechnologyNanjingChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Aerodyne Research Inc. BillericaMassachusettsUSA Institute of Physics University of TartuTartuEstonia Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric SciencesNanjing UniversityNanjingChina

Due to profound impact on climate and human health,air quality has attracted attention from all levels of the civil *** key step in the provision of required tools for the society to tackle the complex air quality problem is to characterize it in a comprehensive manner with a long-term ***,we describe a continuous and comprehensive observation station and its accompanying state-ofthe-art instrumentation that was established to investigate the complex urban atmospheric environment in a rapidly developing Chinese *** station,located in downtown Beijing,aims to study air quality by identifying the major atmospheric pollutants and key processes determining their formation and loss mechanisms.A few hundreds of parameters are continuously measured with the state-of-the-art instruments,including trace gas concentrations,aerosol particle size distributions,and mass concentrations,covering aerosol particle chemical composition from molecules to micrometer-sized aerosol *** produced long-term,comprehensive big data with around 1�10^(11)bytes per *** this paper,we provide an overview on the facilities of the station,the instrumentation used,the workflow of continuous observations and examples of results from 2018 to 2019 and a basis for establishing a modern long-term,comprehensive atmospheric urban observation station in other megacities.

关键词： Continuous and comprehensive atmospheric observation air pollution complex photochemical smog haze new particle formation

来源：评论

学校读者我要写书评

暂无评论

A Human-Robot Skill Transfer Framework of Mobile Medical Robots for Autonomous Motion with Teaching by Demonstration

A Human-Robot Skill Transfer Framework of Mobile Medical Rob...

引用

International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Jiehao Li Junzheng Wang Shoukun Wang Hui Peng Qi Wen Longbin Zhang Meina Lin Politecnico di Milano Milan Italy State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China College of Intelligence Science and Technology National University of Defense Technology Changsha China BioMEx Center KTH Mechanics KTH Royal Institute of Technology Stockholm Sweden Guangdong Key Laboratory of IoT Information Technology Guangdong University of Technology Guangzhou China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

The accuracy of autonomous motion is the main challenge for mobile medical robots, especially running in narrow space conditions to transport the casualties in the hospital. This article mainly centers on the human-robot transmission of the mobile medical robot for narrow space autonomous motion. In order to enable mobile medical robots to autonomously and smoothly transport hospital casualties through narrow aisles, in this paper, we present a robot skill transfer technology, namely a human-robot skill transfer framework of mobile medical robots for autonomous motion with teaching by demonstration, which is that a smooth optimal path is planned through the human motion, and then the Kinect sensor is used to detect human bone movement to learn its motion trajectory so as to achieve trajectory tracking control. Meanwhile, using the Remote Center of Motion (RCM) constraint to minimize the error between the actual trajectory of the medical robot and the tracking reference path to control the motion trajectory accurately, human-computer interactive mobile medical robots can smoothly pass through narrow channels. Through research and analysis, it is demonstrated that the mobile medical robot proposed in this paper has great feasibility, which is of great reference value in the field of medical rescue.

关键词： Medical robotics Education Trajectory Mobile robots Tracking Hospitals

来源：评论

学校读者我要写书评

暂无评论

Convolutional neural networks based for high spectral dimensional data classification 3

Convolutional neural networks based for high spectral dimens...

引用

3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Zhu, Jiang Wu, Lingda Lu, Yi Jiao, Jiao Song, Xiaorui Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

Recent research has shown that deep learning is widely used to classify the high spectral dimensional data. Under limited samples, a novel method of high spectral dimensional data classification based on convolutional neural networks (CNNs) is proposed. By standardization and adding virtual samples, the sensitivity of models on the classification of objects and quantity of classification objects is reduced. The computational complexity and computation time are reduced by optimizing the gradient descent method and the learning rate calculation method. By setting up a suitable network structure, the generalization is improved. The experimental results show that compared with the traditional classification methods such as k-Nearest Neighbor (KNN), Logistic Regression (LR) and Support Vector Machine of Radial Basis Function Kernel (RBF-SVM), the method using convolutional neural network has more competitive results in computational efficiency and classification accuracy. © 2018 IEEE.

关键词： Gradient methods

来源：评论

学校读者我要写书评

暂无评论

Generation framework for situation visualization service from the perspective of cognition 3

Generation framework for situation visualization service fro...

引用

3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Yang, Fande Qiang, Li Science and Technology on Complex Electronic System Simulation Laboatory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

The misunderstanding of situation system developers and users leads to the low efficiency of the technology to apply. With three perspectives of cognition as systematicness, subjectivity and interactivity, the functions and coupling relationships of the components of situational cognition system are studied. The interaction between the cognitive subjects and the situation servers is focused on. The generation framework of situation visualization service is proposed, and the cognition demands and application orientation of each link are analyzed. The service mode of situation visualization is discussed. It provides channels for situation processing and visualization technologies to be applied effectively, and for situational data to be used efficiently. © 2018 IEEE.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Network Parameter Generation for One-Shot Object Detection

Network Parameter Generation for One-Shot Object Detection

引用

2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Wang, Kang Zhao, Jiajia Wang, Yang Zhou, Shuigeng Fudan University Shanghai Key Lab of Intelligent Information Processing School of Computer Science Shanghai200433 China Beijing Electro-Mechanical Engineer Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Nanchang University School of Information Engineering 330031 China

ISBN: (纸本)9781728137926

Recent object detection models have achieved satisfactory performance by deep learning with large-scale annotated datasets. However, these models often perform poorly when the training examples are not sufficient enough, especially for one-shot object detection where there is only one training example of each target class. In this paper, we propose a network parameter generation framework for effective one-shot object detection. By leveraging the semantic relationship between the source-domain and the target-domain (new classes), our framework can generate network parameters for the new classes directly. Furthermore, we develop two implementation schemes for this framework: weighting-based parameter generation and regression-based parameter generation. These two schemes use different information to construct the relationship and transfer knowledge from the source-domain to the target-domain. Experiments on the PASCAL-OSCD benchmark show that our methods can significantly boost the performance of one-shot object detection. © 2019 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：