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arXiv 2023年

作者： Cong, Runmin Yang, Wenyu Zhang, Wei Li, Chongyi Guo, Chun-Le Huang, Qingming Kwong, Sam Institute of Information Science Beijing Jiaotong University Beijing100044 China School of Control Science and Engineering Shandong University Jinan250061 China Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan250061 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China College of Computer Science Nankai University Tianjin300350 China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing101408 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Peng Cheng Laboratory Shenzhen518055 China Department of Computer Science City University of Hong Kong Hong Kong City University of Hong Kong Shenzhen Research Institute Shenzhen51800 China

Due to the light absorption and scattering induced by the water medium, underwater images usually suffer from some degradation problems, such as low contrast, color distortion, and blurring details, which aggravate the difficulty of downstream underwater understanding tasks. Therefore, how to obtain clear and visually pleasant images has become a common concern of people, and the task of underwater image enhancement (UIE) has also emerged as the times require. Among existing UIE methods, Generative Adversarial networks (GANs) based methods perform well in visual aesthetics, while the physical model-based methods have better scene adaptability. Inheriting the advantages of the above two types of models, we propose a physical model-guided GAN model for UIE in this paper, referred to as PUGAN. The entire network is under the GAN architecture. On the one hand, we design a Parameters Estimation subnetwork (Par-subnet) to learn the parameters for physical model inversion, and use the generated color enhancement image as auxiliary information for the Two-Stream Interaction Enhancement subnetwork (TSIE-subnet). Meanwhile, we design a Degradation Quantization (DQ) module in TSIE-subnet to quantize scene degradation, thereby achieving reinforcing enhancement of key regions. On the other hand, we design the Dual-Discriminators for the style-content adversarial constraint, promoting the authenticity and visual aesthetics of the results. Extensive experiments on three benchmark datasets demonstrate that our PUGAN outperforms state-of-the-art methods in both qualitative and quantitative metrics. The code and results can be found from the link of https://***/proj_***. © 2023, CC BY-NC-SA.

关键词： Discriminators

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network Security Situation Awareness technology Based on Multi-source Heterogeneous Data

Network Security Situation Awareness Technology Based on Mul...

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2020 International Conference on Cyberspace Innovation of advanced Technologies, CIAT 2020

作者： Zhang, Daojuan Qian, Kexiang Wang, Wenhui Fang, Fuyang Wang, Chonghua Luo, Xi State Grid Key Laboratory of Information and Network Security Global Energy Interconnection Research Institute Co. Ltd Beijing China Information Science Academy China Electronics Technology Group Corporation Beijing China Department of Security Technology China Industrial Control Systems Cyber Emergency Response Team Beijing China Cyber Space Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781450387828

With the development of information technology, the scale of the network continues to expand, and the security issues continue to increase. The complexity of the network security situation is increasing and the importance of the network security situational awareness continues to increase. The data sources are wide, the type and the number are large in a large-scale network environment currently. This paper comprehensively studies the network security situational awareness technology based on multi-source heterogeneous data. In addition, this paper introduces the origin, concept and the model of the network situational awareness, as well as the characteristics of network security situational awareness based on multi-source heterogeneous data fusion. Finally, the key technologies in the security situational awareness such as the extraction of situational elements, multi-source data fusion, situation assessment, situation prediction and visual display are introduced. © 2020 ACM.

关键词： Data fusion

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Modelling of Thin CNTs Nanoliquid Film Flow Over a Bi-directional Stretching Surface

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International Journal of Applied and Computational Mathematics 2020年第5期6卷 1-19页

作者： Krishanan, R. Maity, S. Singh, S.K. Dandapat, B.S. Department of Basic and Applied Science National Institute of Technology Yupia Papumpare 791112 Arunachal Pradesh India Engineering Mechanics Unit Jawaharlal Nehru Centre for Advanced Scientific Research Bangalore 560064 Jakkur India Air Control Engineering Pvt. Ltd. 21 Hemanta Bose Sarani Kolkata 700001 India

Unsteady flow of water and ethylene-glycol based carbon nanotubes (CNTs) nanoliquid film is examined on a bi-directional stretching surface under influence of transverse magnetic field and thermal radiation. Single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) are considered within the base liquid for investigation. Guiding full Navier–Stokes and energy equations were simplified using the thin film approximations and solved using the method of the asymptotic expansion. The result shows that nanoliquid thinning rate diminishes with rising values of CNTs volume fraction, Hartmann number and Biot number. The result also indicates that the thinning rate is more for MWCNTs with reference to the SWCNTs. It is seen that film thinning rate enhances for water-MWCNTs nanoliquid but reverse scenario is found for ethylene-glycol MWCNTs nanoliquid. The effect of various physical parameters on temperature profile has been discussed. © 2020, Springer Nature India Private Limited.

关键词： Bi-directional stretching Carbon Nanotubes (CNTs) Magnetic field Nanoliquid Thermal radiation Thin film

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Demonstration of Ultra-low-cost Wavelength Labelling System Supporting Bidirectional 240-lanes-DWDM Optical networks

Demonstration of Ultra-low-cost Wavelength Labelling System ...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Keji Zhou Tianming Li Chenjie Rao Yancai Luan Yaqin Wang Sheng Cui Ming Wei Yong Xiao Wuhan Fiberhome Technical Services Co. Ltd School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China Advanced Research Department Network Business Unit Fiberhome Telecommunication Technologies Co. Ltd Wuhan China School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China Wuhan Fiberhome Technical Services Co. Ltd Fiberhome Telecommunication Technologies Co. Ltd Wuhan China School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China

A novel design of a bidirectional 240-lanes-DWDM wavelength labelling system is demonstrated. The simultaneous process of 240-lanes wavelength labelling signals includes demodulation, forward error correction and optical power monitoring occupies less than 70% of total logic resources on Xilinx XC7A200T. The monitoring error is less than 0.5dB when the service optical power is in the range of -23 ~ -13 dBm.

关键词： Forward error correction Optical network units Adaptive optics Transceivers Labeling Optical modulation Optical noise

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network Security Situation Awareness technology Based on Multi-source Heterogeneous Data 2020

Network Security Situation Awareness Technology Based on Mul...

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Proceedings of the 2020 International Conference on Cyberspace Innovation of advanced Technologies

作者： Daojuan Zhang Kexiang Qian Wenhui Wang Fuyang fang Chonghua Wang Xi Luo State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute co. Ltd Beijing China Information Science Academy China Electronics Technology Group Corporation Beijing China Department of Security Technology China Industrial Control Systems Cyber Emergency Response Team Beijing China Cyber space Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781450387828

关键词： Data Fusion

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A parallel tonotopically arranged thalamocortical circuit for sound processing

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Neuron 2025年

作者： Zhao, Zhikai Tang, Xiaojing Chen, Yiheng Tao, Jie Polat, Mahiber Yang, Zhiqi Yang, Linhan Wang, Meng Liang, Shanshan Zhang, Kuan Zhang, Yun Zhang, Chunqing Wang, Lina Wang, Yanjiang Konnerth, Arthur Jia, Hongbo Xiong, Wei Liao, Xiang Li, Sunny C. Chen, Xiaowei Center for Neurointelligence School of Medicine Chongqing University Chongqing 400044 China Brain Research Center and State Key Laboratory of Trauma and Chemical Poisoning Third Military Medical University Chongqing 400038 China LFC Laboratory and Chongqing Institute for Brain and Intelligence Guangyang Bay Laboratory Chongqing 400064 China Advanced Institute for Brain and Intelligence School of Medicine Guangxi University Nanning 530004 China Institute of Brain and Intelligence Third Military Medical University Chongqing 400038 China LFC Laboratory and State Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing 100854 China Institute of Neuroscience and Munich Cluster for Systems Neurology Technical University Munich Munich 80802 Germany Leibniz Institute for Neurobiology Magdeburg 39118 Germany Brain Research Instrument Innovation Center Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou 215163 China Chinese Institute for Brain Research Beijing 102206 China NewLight Neuroscience Unit Chongqing 400064 China

The perception of the sensory world in mammals requires information flow from the thalamus to the cortex. Although the first-order sensory thalamus and its surrounding nuclei are considered the major hub for feedforward thalamocortical transmission, it remains unknown whether any other thalamic input could also contribute to this transmission. We found a thalamic region, the basal region of the ventromedial nucleus of the thalamus (bVM), that sends dense, tonotopically arranged projections to auditory cortex (AuC) fields. Silencing these AuC-projecting neurons severely impaired the mouse's ability to discriminate sound frequencies. These projections exhibited strong frequency-tuning preferences that matched the cortical tonotopic map. Moreover, bVM inputs were excitatory and primarily terminated on neuron-derived neurotrophic factor-positive interneurons in cortical layer 1. Silencing these inputs significantly reduced sound-evoked responses of AuC neurons. Our results reveal a non-canonical, tonotopically arranged thalamic input to cortical layer 1 that contributes to sound processing, in parallel to the classic auditory thalamocortical pathway. © 2025 Elsevier Inc.

关键词： auditory cortex cortical layer 1 sound processing thalamocortical pathway thalamus

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Identification of important nodes on large-scale Internet based on unsupervised learning 2020

Identification of important nodes on large-scale Internet ba...

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Proceedings of the 2020 International Conference on Cyberspace Innovation of advanced Technologies

作者： Fuyang Fang Daojuan Zhang Chonghua Wang De Zhang Yuanfei Zhang Chao Li Xi Luo Ye Fu Information Science Academy of China Electronics Technology Group Corporation Beijing China State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute co. Ltd Beijing China China Industrial Control Systems Cyber Emergency Response Team Beijing China Cyber space Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781450387828

In recent years, scholars have conducted in-depth researches on the robustness, structural vulnerability, and detection and identification of devices in cyberspace from different perspectives such as complex networks and cyberspace resource mapping. Aiming at the problem of identifying important nodes on a large-scale Internet, a CETCRank algorithm for identifying important Internet nodes based on unsupervised learning is proposed. When the algorithm analyzes the attributes of each cyberspace equipment, it not only considers the graph structure characteristics based on the network topology, but also integrates the threat metric of cyberspace equipment. Based on the hypothesis of the cyber attack model, the effective identification of important nodes in the Internet can be realized by integrating the node attributes into the constructed Markov chain model. Experiments show that the time and space complexity of the CETCRank algorithm is suitable for analyzing large-scale Internet, and the recognition performance of important nodes is better than the PageRank algorithm.

关键词： Unsupervised Learning CETCRank Algorithm Important Nodes Large-scale Internet

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Emerging contaminants:A One Health perspective

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The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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Adsorption of single and mixed haloacetonitriles on silica-based porous materials: Mechanisms and effects of porous structures

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Journal of Environmental Sciences 2019年第5期31卷 346-360页

作者： Panida Prarat Chawalit Ngamcharussrivichai Sutha Khaodhiar Patiparn Punyapalakul International Postgraduate Programs in Hazardous Substance and Environmental Management Graduate School Chulalongkorn University Center of Excellence on Hazardous Substance Management (HSM) Chulalongkorn University Department of Chemical Technology Faculty of Science Chulalongkorn University The Center of Excellence on Petrochemical and Materials Technology (PETROMAT) Chulalongkorn University Department of Environmental Engineering Faculty of Engineering Chulalongkorn University Research unit Control of Emerging Micropollutants in Environment Chulalongkorn University Research Network of NANOTEC - CU on Environment

Adsorption mechanisms and the role of different porous and crystalline structures on the removal of five haloacetonitriles(HANs) over hexagonal mesoporous silica(HMS), titanium substituted mesoporous silica(Ti-HMS), rod-shaped SBA-15 and microporous zeolite Na Y were investigated. In addition, the effect of p H on adsorption mechanism and selective adsorption of five HANs individually and in an equimolar mixed solution were *** results indicated that the intraparticle diffusion rate constants of the mesoporous adsorbents were higher than that of the microporous Na Y. In single solute, the order of adsorption preference(highest to lowest) was mono-HANs > di-HANs > tri-HAN. However,in mixed solute, the large molecular weight of the tri-HAN and di-HANs are more easily adsorbed than the smaller molecular weight mono-HANs. Except for SBA-15, the order of adsorption capacities in mixed HANs solute was not different compared to that observed for the single HAN solute, which might be caused by the higher accessibility to the active sites due to larger pore size. The ion-dipole electrostatic interaction was likely to be the main adsorption mechanism, and was favored at high p H values due to the high negative surface charge density of the adsorbent. The molecular structure of the HANs and hydrophilic/hydrophobic nature affected the adsorption capacities and their selective adsorption from mixed solutes.

关键词： Haloacetonitrile Adsorption mechanism Porous structure Ion-dipole electrostatic interaction Hydrophilicity

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Unveiling the corrosion evolution and pitting mechanism of X70 pipeline steel in typical near-neutral/bentonite soil environment

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Journal of Materials Science & technology 2025年

作者： Guangming Yang Lulu Zeng Hua Shen Huaiyun Cui Tianqi Chen Zengyao Chen Chengwei Xu Chao Liu Feng Huang Zhiyong Liu Zhichao Che Cuiwei Du Xiaogang Li Key Laboratory for Corrosion and Protection (MOE) Institute of Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 China National Materials Corrosion and Protection Scientific Data Center University of Science and Technology Beijing Beijing 100083 China Jilin Oilfield Company China National Petroleum Corporation Songyuan 138000 China Corrosion and control Research Center Branch of Science and Technology Research Institute of National Oil and Gas Pipeline Network Group Co Tianjin 300457 China The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Wuhan 430081 China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing 100083 China

This work investigated the effect of dissolved oxygen (DO) on the corrosion behavior and pitting mechanism of X70 pipeline steel in near-neutral soil-bentonite simulated environment. The localized corrosion evolution to uniform corrosion was quantitatively analyzed using statistical methods. In situ characterization reveals that the localized corrosion mechanism is induced by core-shell inclusions. The microcracks occur between MnS and core oxides, the galvanic effect exists between MnS and matrix, and the high distortion region of the matrix promotes the localized corrosion initiation, while the galvanic effect between ferrite and pearlite aids propagation. Interestingly, the pitting growth rates are higher at low DO concentrations. Furthermore, the lower DO and longer immersion time enhance rust layer protection and reduce the corrosion rate of X70 pipeline steel.

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