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基于空间特征和生成对抗网络的网络入侵检测

郑州大学学报（工学版） 2024年第6期45卷 40-47页

作者：张震周一成田鸿朋郑州大学电气与信息工程学院河南郑州450001 郑州大学河南先进技术研究院河南郑州450001

针对现有的入侵检测方法未能有效考虑到数据特征之间的关联性以及在高维离散的数据集上检测精度不高等问题,提出了一种基于空间特征与生成对抗网络的网络入侵检测方法MBGAN。首先,设计了一种将数据转换成灰度图的转换方法,使得卷积核能... 详细信息

针对现有的入侵检测方法未能有效考虑到数据特征之间的关联性以及在高维离散的数据集上检测精度不高等问题,提出了一种基于空间特征与生成对抗网络的网络入侵检测方法MBGAN。首先,设计了一种将数据转换成灰度图的转换方法,使得卷积核能够捕获到图像中更多的上下文空间信息流。其次,采用双向生成对抗网络模型进行异常检测,使用转换后的流量图像对模型进行训练,同时引入最小Wasserstein距离和梯度惩罚技术,解决模型训练中模式崩塌和不稳定问题。实验结果表明:所提方法在NSL-KDD、UNSW-NB15、CICIDIS2017数据集上的检测精度分别为97.4%,92.3%,94.8%,召回率分别为97.2%,93.1%,95.6%,F 1值分别为97.3%,93.0%,95.2%,效果均优于其他方法。

关键词：入侵检测异常检测生成对抗网络图像编码卷积神经网络

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临泽县黑山口河“2022-08-13”暴雨洪水调查研究

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气象水文海洋仪器 2024年第3期41卷 88-90页

作者：姚代顺周轶成甘肃省张掖水文站张掖734000

文章对黑山口河“2022-08-13”暴雨洪水成因进行了分析研究,确定黑山口河此次洪峰流量为59.8 m3/s,重现期为百年一遇,调查研究了该暴雨洪水特性,为临泽县合黎山区针对强降雨、局部大洪水等突发性自然灾害的应急处置提供了数据支撑。

关键词：临泽县黑山口河暴雨洪水调查研究

Effective ensemble learning approach for SST field prediction using attention-based PredRNN

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Frontiers of Computer Science 2023年第1期17卷 143-155页

作者： Baiyou QIAO Zhongqiang WU Ling MA yicheng zhou Yunjiao SUN School of Computer Science and Engineering Northeastern UniversityShenyang 110169China Key Laboratory of Intelligent Computing in Medical Image Ministry of EducationNortheastern UniversityShenyang 110169China

Accurate prediction of sea surface temperature (SST) is extremely important for forecasting oceanic environmental events and for ocean studies. However, the existing SST prediction methods do not consider the seasonal periodicity and abnormal fluctuation characteristics of SST or the importance of historical SST data from different times;thus, these methods suffer from low prediction accuracy. To solve this problem, we comprehensively consider the effects of seasonal periodicity and abnormal fluctuation characteristics of SST data, as well as the influence of historical data in different periods, on prediction accuracy. We propose a novel ensemble learning approach that combines the Predictive Recurrent Neural Network(PredRNN) network and an attention mechanism for effective SST field prediction. In this approach, the XGBoost model is used to learn the long-period fluctuation law of SST and to extract seasonal periodic features from SST data. The exponential smoothing method is used to mitigate the impact of severely abnormal SST fluctuations and extract the a priori features of SST data. The outputs of the two aforementioned models and the original SST data are stacked and used as inputs for the next model, the PredRNN network. PredRNN is the most recently developed spatiotemporal deep learning network, which simulates both spatial and temporal representations and is capable of transferring memory across layers and time steps. Therefore, we used it to extract the spatiotemporal correlations of SST data and predict future SSTs. Finally, an attention mechanism is added to capture the importance of different historical SST data, weigh the output of each step of the PredRNN network, and improve the prediction accuracy. The experimental results on two ocean datasets confirm that the proposed approach achieves higher training efficiency and prediction accuracy than the existing SST field prediction approaches do.

关键词： SST prediction ensemble learning XGBoost PredRNN attention mechanism

Catalyst-free,direct electrochemical trifluoromethylation/cyclization of N-arylacrylamides using TfNHNHBoc as a CF_(3) source

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Chinese Chemical Letters 2022年第1期33卷 221-224页

作者： Han Wang Yongbin Xie yicheng zhou Nannan Cen Wenbo Chen Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China CAS Key Laboratory of Energy Regulation Materials Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

A new electrochemical strategy for trifluoromethylation/cyclization using TfNHNHBoc as a CF_(3)source was *** approach was realized by the direct electrolysis of Tf NHNHBoc under external oxidantfree and catalyst-free conditions,and afforded various trifluoromethylated oxindoles with good functional group compatibility and broad substrate *** mechanistic studies show that the reaction proceeds by a radical process.

关键词： Electrolysis Trifluoromethylation Cyclization TfNHNHBoc Radical process

Iridium(I)-catalyzed deoxgenation of fluoroalkylsulfoxides with dimethyl diazomalonate to access fluoroalkylthioethers

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Chinese Chemical Letters 2022年第11期33卷 4865-4869页

作者： Wenqing Lu Wenlin Li yicheng zhou Yongbin Xie Wenbo Chen Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China CAS Key Laboratory of Energy Regulation Materials Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

A new method for the preparation of fluoroalkylthioethers including trifluoromethylthioether and difluoromethylthioether by iridium(Ⅰ)-catalyzed deoxgenation of fluoroalkylsulfoxides with dimethyl diazomalonate was *** the reaction system,dimethyl diazomalonate was used as reducing reagent and the corresponding fluoroalkylthioethers were produced through oxygen atom transfer from fluoroalkylsulfoxides to *** protocol featuring effective oxygen atom transfer,mild reaction conditions and good functional groups tolerance offers an alternative strategy for the synthesis of fluoroalkylthioethers.

关键词： Fluorine chemistry Trifluoromethylthio Fluoroalkylthio Fluoroalkylsulfoxide Deoxgenation

Synthesis of S-monofluoromethyl phosphorothioates from P^(Ⅴ)-H compounds and PhSO_(2)SCH_(2)F

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Chinese Chemical Letters 2021年第1期32卷 453-456页

作者： Renyi Pang Ruichao Yao Shiyao Lu yicheng zhou Wenbo Chen Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China CAS Key Laboratory of Energy Regulation Materials Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

S-Monofluoromethyl phosphorothioates represent an important class of organofluorine compounds and are re ported here for the first time.A series of S-monofluoromethyl phosphorothioates are conveniently synthesized from different P^(Ⅴ)-H compounds and PhSO_(2)SCH_(2)F under mild *** method is compatible with common functional groups and provides potential opportunities to synthesize new bioactive molecules for medicinal chemistry.

关键词： Fluorine Monofluoromethylthio Phosphorothioates P^(Ⅴ)-H compounds PhSO_(2)SCH_(2)F

Impact of EV load uncertainty on optimal planning for electric vehicle charging station

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Science China(Technological Sciences) 2021年第11期64卷 2469-2476页

作者： LONG YiLin LI Yong WANG YaHui CAO YiJia JIANG Lin zhou yicheng DENG YouYue NAKANISHI Yosuke College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Department of Electrical Engineering and Electronics University of LiverpoolLiverpool L693BXUK Graduate School of Environment and Energy Engineering Waseda UniversityTokyo 169-8050Japan

With the development of electric vehicles(EV), there is a huge demand for electric vehicle charging stations(EVCS). The utilization of renewable energy sources(RES) in EVCS can not only decrease the energy fluctuation by participating in peakload reduction of the grid, but also reduce the pollution to the environment by cutting down the use of fossil fuels. In this paper,the optimal planning for grid-connected EVCS with RES is studied by considering EV load uncertainty. Nine scenarios are set based on a different characteristic of EV load to reveal the impact of EV load on net present cost(NPC) and to express the relationship between the optimal capacity and energy flow. Moreover, since electricity price also plays an important role in EVCS planning, an economic comparison between different cases with different electricity prices for peak-valley-flat period is carried out. The results reveal the economic benefits of applying RES in EVCS, and demonstrate that EV load with different characteristics would influence the capacity of each device(PV, battery, converter) in the EVCS optimal planning.

关键词： electric vehicle charging station renewable energy optimal planning load uncertainty

MicroGrid Designer:user-friendly design,operation and control assist tools for resilient microgrid and autonomous community

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Global Energy Interconnection 2022年第3期5卷 249-258页

作者： Ryuichi Yokoyama yicheng zhou Energy and Environment and Technology Research Institute and Waseda University 1-22-2 Nishi-Waseda ShinjukuNishi-Waseda East Wing 106Tokyo169-0051Japan

During this decade,many countries have experienced natural and accidental disasters,such as typhoons,floods,earthquakes,and nuclear plant accidents,causing catastrophic damage to *** the end of 2019,all countries of the world are struggling with the COVID-19 and pursuing countermeasures,including inoculation of vaccine,and changes in our lifestyle and social *** these experiences have made the residents in the affected regions keenly aware of the need for new infrastructures that are resilient and autonomous,so that vital lifelines are secured during calamities.A paradigm shift has been taking place toward reorganizing the energy social service management in many countries,including Japan,by effective use of sustainable energy and new supply ***,such new power sources and supply schemes would affect the power grid through intermittency of power output and the deterioration of power quality and ***,new social infrastructures and novel management systems to supply energy and social service will be *** this paper,user-friendly design,operation and control assist tools for resilient microgrids and autonomous communities are proposed and applied to the standard microgrid to verify its effectiveness and performance.

关键词： Microgrid Autonomous community Grid design and analysis Resilience Unit commitment Economic load dispatch Load frequency control Dynamic power flow Energy management system

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浙江省城乡公交数智应用平台建设实践

交通与运输 2024年第1期40卷 53-58页

作者：崔优凯马佳杰周义程杜璇张国栋浙江数智交院科技股份有限公司杭州310030

为促进城乡公交一体化发展,助力浙江高质量发展建设共同富裕示范区,构建基于城乡公交数据的智慧化应用平台。首先,介绍平台建设背景以及浙江省城乡公交一体化发展现状;其次,平台设计思路从上至下依次为一个省市县联动驾驶舱、两大主功... 详细信息

为促进城乡公交一体化发展,助力浙江高质量发展建设共同富裕示范区,构建基于城乡公交数据的智慧化应用平台。首先,介绍平台建设背景以及浙江省城乡公交一体化发展现状;其次,平台设计思路从上至下依次为一个省市县联动驾驶舱、两大主功能、三个端集成以及多个应用场景。通过“一村一表、一县一档”技术措施,在线展示全省每个建制村的公交班次、票价、支付方式等基本情况,并归集形成每个区县的城乡公交一体化档案;最后,经过态势分析可以得到区县的一体化率提升方案。通过平台,既可以实时掌握全省城乡公交运行情况和一体化进度,又可以找出区县在城乡公交发展中的不足之处,为财政补贴政策、公交运营策略的制定提供依据。

关键词：城乡公交一体化数字化运营监测