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ResNeSt-biGRU: An Intrusion Detection Model Based on Internet of Things

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Computers, Materials & Continua 2024年第4期79卷 1005-1023页

作者： yan Xiang Daofeng Li Xinyi meng Chengfeng Dong Guanglin Qin School of Computer and Electronics Information Guangxi UniversityNanning530004China Guangxi Colleges and Universities Key Laboratory of Multimedia Communications and Information Processing Guangxi UniversityNanning530004China

The rapid expansion of Internet of Things (IoT) devices across various sectors is driven by steadily increasingdemands for interconnected and smart technologies. Nevertheless, the surge in the number of IoT device hascaught the attention of cyber hackers, as it provides them with expanded avenues to access valuable data. Thishas resulted in a myriad of security challenges, including information leakage, malware propagation, and financialloss, among others. Consequently, developing an intrusion detection system to identify both active and potentialintrusion traffic in IoT networks is of paramount importance. In this paper, we propose ResNeSt-biGRU, a practicalintrusion detection model that combines the strengths of ResNeSt, a variant of Residual Neural Network, andbidirectionalGated RecurrentUnitNetwork (biGRU).Our ResNeSt-biGRUframework diverges fromconventionalintrusion detection systems (IDS) by employ.ng this dual-layeredmechanism that exploits the temporal continuityand spatial feature within network data streams, a methodological innovation that enhances detection *** conjunction with this, we introduce the PreIoT dataset, a compilation of prevalent IoT network behaviors, totrain and evaluate IDSmodels with a focus on identify.ng potential intrusion traffics. The effectiveness of proposedscheme is demonstrated through testing, wherein it achieved an average accuracy of 99.90% on theN-BaIoT datasetas well as on the PreIoT dataset and 94.45% on UNSW-NB15 dataset. The outcomes of this research reveal thepotential of ResNeSt-biGRU to bolster security measures, diminish intrusion-related vulnerabilities, and preservethe overall security of IoT ecosystems.

关键词： Internet of Things cyberattack intrusion detection internet security

Long Duration Coverage Control of Multiple Robotic Surface Vehicles Under Battery Energy Constraints

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1695-1698页

作者： Shengnan Gao Zhouhua Peng Haoliang Wang Lu Liu dan Wang the School of Electrical and Control Engineering North China University of TechnologyBeijing 100144 the School of Marine Electrical Engineering Dalian Maritime UniversityDalian 116026China State Key Laboratory of Maritime Technology and Safety Dalian 116026 Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian 116026 the School of Marine Engineering Dalian Maritime UniversityDalian 116026

Dear Editor,This letter addresses long duration coverage problem of multiple robotic surface vehicles(RSVs) subject to battery energy constraints,in addition to uncertainties and disturbances. An anti-disturbance energy-aware control method is proposed for performing coverage task of RSVs. Firstly, a centroidal Voronoi tessellation(CVT) is used to optimize the partition of the given coverage area.

关键词： Robotic Battery partition

Establishment of a pig model with enteric and portal venous drainage of pancreatoduodenal transplantation

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World Journal of Gastroenterology 2005年第35期11卷 5475-5479页

作者： Zhao-Da Zhang Fang-Hai Han Ling-Xiang meng Third GeneralDepartment West China Hospital of Sichuan University Chengdu610041 Sichuan Province China

AIM： To establish the pig model of pancreatoduodena transplantation with enteric drainage （ED） and porta venous drainage （PVD）. METHODS： Forty-six hybrid Landrace pigs were divided into two groups （donors and recipients） randomly, and pancreatoduodenal allotransplantation was performed. Donors were perfused via abdominal aorta without clamping the portal venous outflow with UW solution at 80-100 cm H2O after heparinization. Whole pancreatoduodenal grafts were harvested with segments of abdominal aorta and portal vein, and shaped under 4℃ UW solution. Then, end-to-end anastomosis was performed with the donor iliac artery bifurcation y graft to the recipient superior mesenteric artery and celiac artery. Furthermore, type I diabetes model was made by removal of the recipient pancreas. The venous anastomosis was reconstructed between the donor portal vein and the recipient superior mesentery vein. Meanwhile, end-toside anastomosis was performed with the donor common iliac artery bifurcation y graft to the recipient abdominal aorta, and side-to-side intestinal anastomosis was performed between the donor duodenum and the recipient jejunum. External jugular vein was intubated for transfusion. Levels of plasma glucose, insulin and glucagon were measured during the operation and on the 1^st 3^rd 5^th and 7^th d after operation. RESULTS： Pancreatoduodenal allotransplantation was performed on 23 pigs of which 1 died of complication of anesthesia. The success rate of operation was 95.6%. Complications of operation occurred in two cases in which one was phlebothrombosis with an incidence of 4.6%, and the other was duodenojejunal anastomotic leak with an incidence of 4.6%. The level of plasma glucose decreased within 30 min, after removal of pancreas and recovered on the 2^nd after operation. The level of plasmainsulin and glucagon increased within 30 min after removal of pancreas and recovered on the 2^nd d after operation. Rejection occurred on the 1^st and reached the worst le

关键词： Pancreatoduodenal transplantation Entericdrainage Portal venous drainage

Pattern and drivers of species- genetic diversity correlation in natural forest tree communities across a biodiversity hotspot

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Journal of Plant Ecology 2018年第5期11卷 761-770页

作者： Xinzeng Wei Dachuan Bao Hongjie meng Mingxi Jiang Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical GardenChinese Academy of Sciences1 Zhiwuyuan RoadWuchangWuhanHubei 430074China University of Chinese Academy of Sciences 19A Yuquan RoadShijingshanBeijing 100049China

Aims Exploring species-genetic diversity correlation(SGDC)is essential for understanding spatial patterns of diversity and the underly.ng *** now,latitudinal patterns of species diversity(SD)and genetic diversity(GD)were rarely studied *** the freezing-tolerance hypothesis predicts a decrease of SD from low to high latitudes and the central-marginal hypothesis predicts a unimodal pattern of GD along latitude,we hypothesized that SD and GD are *** also tested how climatic and edaphic factors affect the correlation between the two levels of *** We measured(i)SD(species richness and Simpson’s diversity index)and community dissimilarity of woody plants(63 plots),(ii)GD(al-lelic richness and expected heterozygosity)and genetic differen-tiation of a dominant tree species(Euptelea pleiospermum;678 individuals from 21 populations)using nuclear microsatellite data,and(iii)climatic(annual mean precipitation,annual mean tempera-ture,minimum temperature,maximum temperature,annual rela-tive moisture,solar radiation,photosynthetically active radiation)and edaphic(total C,total N,total P,available P,K,Ca,Mg,Al,Fe,Mn,Ni,Zn,B,Mo,Cu,pH)variables of 21 *** conducted both linear and quadratic regression analyses of diversity param-eters against *** between SD and GD were tested using Pearson’s ***’s and Spearman’sρcor-relation coefficients were calculated between diversity parameters and environmental *** used stepwise multiple regression analysis to identify the significant environmental predictors of SD and *** Findings We observed no significant correlation between measures of SD and *** decreases with increasing latitude,which can be partly explained by the freezing-tolerance hypothesis,whereas GD pre-sents a unimodal pattern along the latitudinal gradient,which is consistent with the prediction of the central-marginal *** contrasting latitudinal patterns o

关键词： climatic factor edaphic factor Euptelea pleiospermum latitude species-genetic diversity correlation

Recent progress in polymerization-induced self-assembly:From the perspective of driving forces

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Aggregate

Aggregate 2024年第1期5卷 47-66页

作者： Zizhuo Zhao Shujing Lei Min Zeng meng Huo Department of Chemistry Key Laboratory of Surface and Interface Science of Polymer Materials of Zhejiang ProvinceZhejiang Sci-Tech UniversityHangzhouP.R.China Department of Chemistry University of WarwickCoventryUK

Polymerization-induced self-assembly(PISA)enables the simultaneous growth and self-assembly of block copolymers in one pot and therefore has developed into a high-efficiency platform for the preparation of polymer assemblies with high concentration and excellent *** the past decade,the driving force of PISA has extended from hydrophobic interactions to other supramolecular interactions,which has greatly innovated the design of PISA,enlarged the monomer/solvent toolkit,and endowed the polymer assemblies with intrinsic dynamicity and *** unravel the important role of driving forces in the formation of polymeric assemblies,this review summarized the recent development of PISA from the perspective of driving *** by this goal,here we give a brief overview of the basic principles of PISA and systematically discuss the various driving forces in the PISA system,including hydrophobic interactions,hydrogen bonding,electrostatic interactions,andπ-π***,PISA systems that are driven and regulated by crystallization or liquid crystalline ordering were also highlighted.

关键词： driving forces electrostatic interactions hydrogen bonding hydrophobic interactions polymerizationinduced self-assembly

A seismic texture coherence algorithm and its application

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Petroleum Science 2014年第2期11卷 247-257页

作者： Chuai Xiaoyu Wang Shangxu yuan Sanyi Chen Wei meng Xiangcui State Key Laboratory of Petroleum Resource and Prospecting China University of Petroleum College of Geophysics and Information Engineering China University of Petroleum

The first generation coherence algorithm （the C1 algorithm） that calculates the coherence of seismic data in-line and cross-line was developed using statistical cross-correlation theory, and it has the limitation that the technique can only be applied to horizons. Based on the texture technique, the texture coherence algorithm uses seismic information in different directions and differences among multiple traces. It can not only calculate seismic coherence in in-line and cross-line directions but also in all other directions. In this study, we suggested first an optimization method and a criterion for constructing the gray level co-occurrence matrix of the seismic texture coherence algorithm. Then the co-occurrence matrix was prepared to evaluate differences among multiple traces. Compared with the C1 algorithm, the seismic texture coherence algorithm suggested in this paper is better than the C1 in its information extraction and application. Furthermore, it implements the multi-direction information fusion and it, also has the advantage of simplicity and effectiveness, and improves the resolution of the seismic profile. Application of the method to field data shows that the texture coherence attribute is superior to that of C 1 and that it has merits in identification of faults and channels.

关键词： Texture coherence gray level co-occurrence matrix seismic attribute

Landform classification based on landform geospatial structure-a case study on Loess Plateau of China

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International Journal of Digital Earth 2022年第1期15卷 1125-1148页

作者： Siwei Lin Jing Xie Jiayin Deng meng Qi Nan Chen Key Laboratory of Spatial Data Mining & Information Sharing Ministry of EducationFuzhou UniversityFuzhouPeople’s Republic of China The Academy of Digital China (Fujian) Fuzhou UniversityFuzhouPeople’s Republic of China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China

Landform classification,which is a key topic of geography,is of great significance to a wide range of fields including human construction,geological structure research,environmental governance,*** studies of landform classification generally paid attention to the topographic or texture information,whilst the watershed spatial structure has not been *** study developed a new landform classification method based on watershed geospatial *** abstracting the landform into the internal and marginal structure,we adopted the gully weighted complex network(GWCN)and watershed boundary profile(WBP)to simulate the watershed geospatial *** various indices to quantitatively depict the watershed geospatial structure,we conducted the landform classification on the Northern Shaanxi of Loess Plateau with a watershed-based strategy and established the classification *** classified landform distribution has significant spatial aggregation and clear regional *** accuracy reached 89%and the kappa coefficient reached 0.87%.Besides,the proposed method has a positive response to some similar and complex *** general,the present study first utilized the watershed geospatial structure to conduct landform classification and is an efficient landform classification method with well accuracy and universality,offering additional insights for landform classification and mapping.

关键词： DEM landform classification geomorphological mapping watershed geospatial structure complex network

Micro-sized nanoaggregates:Spray-dry.ng-assisted fabrication and applications

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Particuology 2024年第2期85卷 22-48页

作者： dan-Lei y.ng Rong-Kun Liu yan Wei Qian Sun Jie-Xin Wang School of Life Sciences and Chemical Engineering Jiangsu Second Normal UniversityNanjing210013China State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing100029China Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology School of Chemistry and Chemical EngineeringGuangxi UniversityNanning530004China

The applications of nanoparticles suffer from their extremely small size and intrinsic trend of *** nanoparticles to form micro-sized nanoaggregates(MNAs)with increased size,ordered structure,as well as controllable size,shape,and morphology is a crucial step in various fields of science and technology to maintain the unique characteristics of nanoparticles while obtaining greatly enhanced or new performance at the *** structure of MNAs prominently affects their functionality,which is determined by the arrangement of nanoparticles and the interaction between primary *** methods have been proposed to prepare the MNAs,in which spray-dry.ng technology stands out considering the feasibility,scalability for industry,cost,and *** assembly of nanoparticles through spray-dry.ng under tunable process parameters yields diverse physical properties and structural arrangements of nanoparticles of the MNAs,they therefore exhibit enormous potential in a wide range of application *** review presents the construction and applications of spray-dried *** factors that influence the size,morphology,and structure of the MNAs are discussed in *** addition,the outstanding application performance resulting from the tightly packed nanoparticles in regular-shaped MNAs obtained by the spray-dry.ng process is illustrated.

关键词： Spray-dry.ng Micro-sized nanoaggregates Applications

Cascading Failures in Power Grids: A Load Capacity Model with Node Centrality

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Complex System Modeling and Simulation 2024年第1期4卷 1-14页

作者： Chaoy.ng Chen yao Hu Xiangyi meng Jinzhu yu Department of Information and Electrical Engineering Hunan University of Science and TechnologyXiangtan 411100China Department of Physics and Astronomy Northwestern UniversityEvanstonIL 60208USA Department of Civil Engineering University of TexasArlingtonTX 22201USA

Power grids,due to their lack of network redundancy and structural interdependence,are particularly vulnerable to cascading failures,a phenomenon where a few failed nodes—having their loads exceeding their capacities—can trigger a widespread collapse of all ***,we extend the cascading failure(Motter-Lai)model to a more realistic perspective,where each node’s load capacity is determined to be nonlinearly correlated with the node’s *** analysis encompasses a range of synthetic networks featuring small-world or scale-free properties,as well as real-world network configurations like the IEEE bus systems and the US power *** find that fine-tuning this nonlinear relationship can significantly enhance a network’s robustness against cascading failures when the network nodes are under ***,the selection of initial nodes and the attack strategies also impact overall network *** findings offer valuable insights for improving the safety and resilience of power grids,bringing us closer to understanding cascading failures in a more realistic context.

关键词： load capacity complex network node centrality cascading failures robustness of power grids