检索结果-南通市图书馆

Geochemical Analysis on Educts in the Drainage Corridor of a Big Dam over Yangtze River

在线全文

学校读者我要写书评

暂无评论

Journal of Earth Science 2012年第2期23卷 180-186页

作者：李静梁杏毛绪美彭红明 School of Environmental Studies China University of Geosciences State key Laboratories of Biogeology and Environmental Geology China University of Geosciences

The analysis of educts has become an important aspect for the security evaluation of hy-draulic construction. Brown, white-based colloidal educts appeared in the left drainage corridors of the dam over the Yangtze River after its 5-year operation, which did not happen in the initial investigation. In this article, the physics characteristics of the educts were affirmed, and the analysis results of the major and trace elements among educts and the corresponding location of water samples, core samples, indicate that educts are the products from the chemical potential erosion of the dam foundation rock. Brown educts are uncertainties Fe and Mn-based materials, mainly derived from the corrosion of the chlorite and biotite, which may be caused by the changes of the oxidizing condition. White educts mainly with Si and Ca are derived from the corrosion of the calcite, feldspar, and partly invalidation of foundation curtain. Additionally, similarities of the chondrite normalized rare earth element （REE） patterns between educts and bedrock further illustrate homologous, and Ce and Eu anomalies relative to chondrite reflect changes of the water environment condition.

关键词： educt water-rock interaction geochemistry drainage corridor REE.

Z-Scheme Heterojunction g-C_(3)N_(5)/Bi_(5)O_(7)I High-Efficiency Mercury Removal Photocatalyst

在线全文

学校读者我要写书评

暂无评论

Energy Material Advances 2023年第1期4卷 484-499页

作者： Weiqun Chu Zhanwei Qiao Jiang Wu Zhengrong Zhu Chen Gong Haojie Huang Ping He Tianhui Cui Sheng Chen Mao Lin College of Energy and Mechanical Engineering Shanghai University of Electric PowerShanghai 200090China Shanghai Institute of Pollution Control and Ecological security ShanghaiChina Solid Waste Division ShanghaiEnvironment GroupShanghai 200336China School of Environmental Science and Engineering Sun Yat-Sen UniversityGuangzhou 510006China

Photocatalysis technology is an effective means to address the issue of energy and environmental *** this paper,defect engineering is introduced to couple g-C_(3)N_(5),which further improves the photocatalytic oxidation of mercury by Bi_(5)O_(7)*** experimental results show that defect engineering can not only regulate superoxide radicals as intermediates but also act as active sites to accelerate carrier transport,thereby increasing the photocatalytic mercury removal efficiency to 96.2%.The chemical reaction rate of g-C_(3)N_(5)/Bi_(5)O_(7)I heterojunction photocatalyst was 8.01 times that of pure g-C_(3)N_(5)and 4.58 times that of pure Bi_(5)O_(7)*** XPS and active radical capture test experiments,it was found that·O_(2)^(-),h^(+),and·OH play a major role in mercury removal ***,a collaborative strategy of vacancy structure and built-in electric field is proposed,which improves the charge transport efficiency of g-C_(3)N_(5)/Bi_(5)O_(7)I Z-scheme heterojunction *** work provides theoretical support for the application of g-C_(3)N_(5)and its composites in the field of flue gas mercury removal.

关键词： composites mercury transport

An Improved K-Means Algorithm for Reciprocating Compressor Fault Diagnosis

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An Improved K-Means Algorithm for Reciprocating Compressor F...

An HPC Based Real-time Path Rating Calculation Tool for Congestion Management with High Penetration of Renewable Energy

第30届中国控制与决策会议

作者： Zhiqiang Zhang Qingyu Yang Dou An School of Electronic and Information Engineering Xi'an Jiaotong University SKLMSE lab School of Electronic and Information EngineeringXi'an Jiaotong University MOE key Lab for Intelligent Networks and Network security Xi'an Jiaotong University

In this paper,an improved K-means clustering algorithm is proposed for reciprocating compressor fault *** algorithm makes improvements on the selection of initial cluster centers and the updating of centers,*** respect to the characteristics of manifold distribution of fault data,cosine distance is used to calculate average similarity of each fault *** on the average similarity,P groups of initial cluster centers can be obtained and the average similarity of each initial center for each group is quite ***,the energy function is introduced to calculate and update cluster *** results on a real reciprocating compressor fault dataset show that the proposed improved K-means algorithm has a high clustering accuracy and a fast convergence ***,experimental results on the real reciprocating compressor fault dataset with noise demonstrate that the proposed algorithm achieves good performance in anti-noise.

关键词： Reciprocating compressor fault diagnosis K-means cosine distance energy function

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

CSEE Journal of Power and Energy Systems 2017年第4期3卷 431-439页

作者： Ruisheng Diao Zhenyu Huang Yuri V.Makarov Yousu Chen Bruce Palmer Shuangshuang Jin James Wong Pacific Northwest National laboratory RichlandWA 99352USA Pacific Northwest National laboratory SeattleWA 98109USA Bonneville Power Administration(BPA) SpokaneWA99201USA

Every year, transmission congestion costs billions ofdollars for electricity customers. This clearly identifies the criticalneed for more transmission capacity and also poses big challengesfor power grid reliability in stressed conditions due to heavyloading and in uncertain situations due to variable renewableresources and responsive smart loads. However, it becomesincreasingly difficult to build new transmission lines, whichtypically involve both economic and environmental *** this paper, advanced computing techniques are developedto enable a non-wire solution that realizes unused transfercapabilities of existing transmission facilities. An integratedsoftware prototype powered by high-performance computing(HPC) is developed to calculate ratings of key transmission pathsin real time for relieving transmission congestion and facilitatingrenewable integration, while complying with the North AmericanElectric Reliability Corporation (NERC) standards on assessingtotal transfer capabilities. The innovative algorithms include: (1)massive contingency analysis enabled by dynamic load balancing,(2) parallel transient simulation to speed up single dynamicsimulation, (3) a non-iterative method for calculating voltagesecurity boundary and (4) an integrated package consideringall NERC required limits. This tool has been tested on realisticpower system models in the Western Interconnection of NorthAmerica and demonstrates satisfactory computational speedusing parallel computers. Various benefits of real-time path ratingare investigated at Bonneville Power Administration using realtime EMS snapshots, demonstrating a significant increase in pathlimits. These technologies would change the traditional goals ofpath rating studies, fundamentally transforming how the grid isoperated, and maximizing the utilization of national transmissionassets, as well as facilitating integration of renewable energy andsmart loads.

关键词： Real-time path rating high performance computing total transfer capability transmission congestion voltage stability transient stability massive contingency analysis

On the design of an AI-driven secure communication scheme for internet of medical things environment

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Digital Communications and Networks 2023年第5期9卷 1080-1089页

作者： Neha Garg Rajat Petwal Mohammad Wazid D.P.Singh Ashok Kumar Das Joel J.P.C.Rodrigues Department of Computer Science and Engineering Graphic Era Deemed to be UniversityDehradun248002India Center for security Theory and Algorithmic ResearchInternational Institute of Information TechnologyHyderabad500032India College of Computer Science and Technology China University of Petroleum(East China)Qingdao266555China Instituto de Telecomunicaçoes 6201-001CovilhaPortugal

The Internet of Medical Things(IoMT)is a collection of smart healthcare devices,hardware infrastructure,and related software applications,that facilitate the connection of healthcare information technology system via the *** is also called IoT in healthcare,facilitating secure communication of remote healthcare devices over the Internet for quick and flexible analysis of healthcare *** other words,IoMT is an amalgam of medical devices and applications,which improves overall healthcare ***,this system is prone to securityand privacy-related attacks on healthcare ***,providing a robust security mechanism to prevent the attacks and vulnerability of IoMT is *** mitigate this,we proposed a new Artificial-Intelligence envisioned secure communication scheme for *** discussed network and threat models provide details of the associated network arrangement of the IoMT devices and attacks relevant to ***,we provide the security analysis of the proposed scheme to show its security against different possible ***,a comparative study of the proposed scheme with other similar schemes is *** results show that the proposed scheme outperforms other similar schemes in terms of communication and computation costs,and security and functionality ***,we provide a pragmatic study of the proposed scheme to observe its impact on various network performance parameters.

关键词： Internet of Medical Things(IoMT) security Authentication and key agreement Artificial Intelligence(AI) Big data analytics

An Improved Fault Diagnosis Method Based on Deep Wavelet Neural Network

在线全文

学校读者我要写书评

暂无评论

An Improved Fault Diagnosis Method Based on Deep Wavelet Neu...

WAPN:a distributed wormhole attack detection approach for wireless sensor networks

第30届中国控制与决策会议

作者： Yibo Liu Qingyu Yang Dou An Yongqiang Nai Zhiqiang Zhang School of Electronic and Information Engineering Xi'an Jiaotong University SKLMSE lab School of Electronic and Information EngineeringXi'an Jiaotong University MOE key Lab for Intelligent Networks and Network security Xi'an Jiaotong University

Deep learning has been successfully applied to the field of fault diagnosis in recent *** to the advantages of deep belief network（DBN） in fitting nonlinear complex systems and the ability of wavelet analysis in time-frequency analysis,in this paper,an improved fault diagnosis method based on a deep wavelet neural network（DWNN）,which combines the DBN with morlet activation functions,is proposed for fault diagnosis of reciprocating compressor.A five-layer DBN using sigmoid,tanh,rectified linear unit（ReLU） and morlet wavelet functions as the activation functions of hidden layers separately is proposed for fault diagnosis of reciprocating *** the contrast,a three-layer back propagation neural network（BPNN） using the same four activation functions separately is proposed for fault diagnosis of reciprocating *** experimental results show that,the fault diagnosis rate of five-layer DBN is higher than the three-layer *** method based on DWNN can make the fault diagnosis rate reach 100% within short *** with using other activation functions,the DWNN architecture requires less epochs to train the model.

关键词： Reciprocating compressor fault diagnosis deep belief network wavelet function

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第2期10卷 279-289页

作者： Fan-rui KONG Chun-wen LI Qing-qing DING Guang-zhao CUI Bing-yi CUI Department of Automation. Tsinghua University Beijing 100084. China State key Lab of Power Systems Departmet of Electrical Engineering Tsinghua University Beijing 100084 China State key Lab of Informational Electric Apparatus in Henan Zhengzhou 450002 China Department of Phvsics Nanjing University Nanjing 210093 China

As the applications of wireless sensor networks(WSNs) diversify,providing secure communication is emerging as a critical requirement. In this paper,we investigate the detection of wormhole attack,a serious security issue for WSNs. Wormhole attack is difficult to detect and prevent,as it can work without compromising sensor nodes or breaching the encryption key. We present a wormhole attack detection approach based on the probability distribution of the neighboring-node-number,WAPN,which helps the sensor nodes to judge distributively whether a wormhole attack is taking place and whether they are in the in-fluencing area of the attack. WAPN can be easily implemented in resource-constrained WSNs without any additional requirements,such as node localization,tight synchronization,or directional antennas. WAPN uses the neighboring-node-number as the judging criterion,since a wormhole usually results in a significant increase of the neighboring-node-number due to the extra attacking link. Firstly,we model the distribution of the neighboring-node-number in the form of a Bernoulli distribution. Then the model is simplified to meet the sensor nodes' constraints in computing and memory capacity. Finally,we propose a simple method to obtain the threshold number,which is used to detect the existence of a wormhole. Simulation results show that WAPN is effective under the conditions of different network topologies and wormhole parameters.

关键词： Wireless sensor networks (WSNs) security Wormhole detection

Infectious disease control:from health security strengthening to health systems improvement at global level

在线全文

学校读者我要写书评

暂无评论

Global Health Research and Policy 2023年第1期8卷 160-167页

作者： Xiao-Xi Zhang Yin-Zi Jin Yi-Han Lu Lu-Lu Huang Chuang-Xin Wu Shan Lv Zhuo Chen Hao Xiang Xiao-Nong Zhou School of Global Health Chinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghaiPeople’s Republic of China One Health Center Shanghai Jiao Tong University-The University of EdinburghShanghaiPeople’s Republic of China Department of Global Health School of Public HealthWuhan UniversityWuhanPeople’s Republic of China Global Health Institute Wuhan UniversityWuhanPeople’s Republic of China Department of Global Health School of Public HealthPeking UniversityBeijingPeople’s Republic of China Institute for Global Health and Development Peking UniversityBeijingPeople’s Republic of China School of public Health Fudan UniversityShanghaiPeople’s Republic of China Global Health Institute Fudan UniversityShanghaiPeople’s Republic of China National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research) NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesShanghaiPeople’s Republic of China Department of Health Policy and Management College of Public HealthUniversity of GeorgiaAthensGAUSA School of Economics Faculty of Humanities and Social SciencesUniversity of Nottingham Ningbo ChinaNingboZhejiangPeople’s Republic of China

Since the twenty first century,the outbreaks of global infectious diseases have caused several public health emergencies of international concern,imposing an enormous impact on population health,the economy,and social *** COVID-19 pandemic has once again exposed deficiencies in existing global health systems,emergency management,and disease surveillance,and highlighted the importance of developing effective evaluation *** article outlines current challenges emerging from infectious disease control from the perspective of global health,elucidated through influenza,malaria,tuberculosis,and neglected tropical *** discordance among government actors and absent data sharing platforms or tools has led to unfulfilled targets in health system resilience and a capacity gap in infectious disease *** current situation calls for urgent action to tackle these threats of global infectious diseases with joined forces through more in-depth international cooperation and breaking governance barriers from the purview of global ***,a systematic redesign should be considered to enhance the resilience of health systems,which warrants a great need to sustain capacity-building efforts in emergency preparedness and response and raises an emerging concern of data integration in the concept of One Health that aims to address shared health threats at the human-animal-environment interface.

关键词： Infectious disease control Global health Health security Health system

Extreme scenario extraction of a grid with large scale wind power integration by combined entropy-weighted clustering method

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Global Energy Interconnection 2020年第2期3卷 140-148页

作者： Kui Luo Wenhui Shi Weisheng Wang State key laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteHaidian DistrictBeijing 100192P.R.China

Large-scale integration of wind power into a power system introduces uncertainties to its operation and planning,making the power system operation scenario highly diversified and *** conventional power system planning,some key operation modes and most critical scenarios are typically analyzed to identify the weak and high-risk points in grid *** these scenarios may not follow traditional empirical patterns due to the introduction of large-scale wind *** this paper,we propose a weighted clustering method to quickly identify a system’s extreme operation scenarios by considering the temporal variations and correlations between wind power and load to evaluate the stability and security for system ***,based on an annual time-series data of wind power and load,a combined weighted clustering method is used to pick the typical scenarios of power grid operation,and the edge operation points far from the clustering center are extracted as the extreme *** contribution of fluctuations and capacities of different wind farms and loads to extreme scenarios are considered in the clustering process,to further improve the efficiency and rationality of the extreme-scenario extraction.A set of case studies was used to verify the performance of the method,providing an intuitive understanding of the extreme scenario variety under wind power integration.

关键词： Wind power Load Weighted clustering Entropy weight Extreme scenario extraction