检索结果-南通市图书馆

Science China(Technological Sciences) 2016年第3期59卷 387-402页

作者： CAO JinDe RAk.IYAPPAN R. maheswari k. CHANDRASEk.R A. Department of Mathematics Southeast University Department of Mathematics Bharathiar University

This paper is concerned with the exponential H_∞ filtering problem for a class of discrete-time switched neural network. with random time-varying delays based on the sojourn-probability-dependent method. Using the average dwell time approach together with the piecewise Lyapunov function technique, sufficient conditions are proposed to guarantee the exponential stability for the switched neural network. with random time-varying delays which are characterized by introducing a Bernoulli stochastic *** on the derived H_∞ performance analysis results, the H_∞ filter design is formulated in terms of Linear Matrix Inequalities(LMIs). Finally, two numerical examples are presented to demonstrate the effectiveness of the proposed design procedure.

关键词：随机延迟神经网络离散时间切换滤波分析线性矩阵不等式 H∞滤波器概率

An Adaptive Scalable Data Pipeline for Multiclass Attack.Classification in Large-Scale IoT Network.

在线全文

学校读者我要写书评

暂无评论

Big Data Mining and Analytics 2024年第2期7卷 500-511页

作者： Selvam Saravanan Uma maheswari Balasubramanian Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidyapeethamBengaluru 560035India

The current large-scale Internet of Things(IoT)network. typically generate high-velocity network.traffic *** use IoT devices to create botnets and launch attack.,such as DDoS,Spamming,Cryptocurrency mining,Phishing,*** service providers of large-scale IoT network. need to set up a data pipeline to collect the vast network.traffic data from the IoT devices,store it,analyze it,and report the malicious IoT devices and types of ***,the attack. originating from IoT devices are dynamic,as attack.rs launch one k.nd of attack.at one time and another k.nd of attack.at another *** number of attack. and benign instances also vary from time to *** phenomenon of change in attack.patterns is called concept ***,the attack.detection system must learn continuously from the ever-changing real-time attack.patterns in large-scale IoT network.*** meet this requirement,in this work.we propose a data pipeline with Apache k.fk.,Apache Spark.structured streaming,and MongoDB that can adapt to the ever-changing attack.patterns in real time and classify attack. in large-scale IoT *** concept drift is detected,the proposed system retrains the classifier with the instances that cause the drift and a representative subsample instances from the previous training of the *** proposed approach is evaluated with the latest dataset,IoT23,which consists of benign and several attack.instances from various IoT *** classification accuracy is improved from 97.8%to 99.46%by the proposed *** training time of distributed random forest algorithm is also studied by varying the number of cores in Apache Spark.environment.

关键词： Internet of Things(IoT) concept drift Apache Spark MongoDB Apache k.fk. streaming

Surface engineering of ZnO electrocatalyst by N doping towards electrochemical CO_(2) reduction

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2024年第1期88卷 71-81,I0002页

作者： Rohini Subhash k.nase Getasew Mulualem Zewdie maheswari Arunachalam Jyoti Badiger Suzan Abdelfattah Sayed k.ang-Soon Ahn Jun-Seok.Ha Uk.Sim Hyeyoung Shin Soon Hyung k.ng Department of Interdisciplinary Program for Photonic Engineering Chonnam National UniversityGwangju 61186Republic of Korea Graduate School of Energy Science and Technology(GEST) Chungnam National University99 Daehak-roYuseong-guDaejeon 34134Republic of Korea Department of Chemistry Education and Optoelectronic Convergence Research Center Chonnam National UniversityGwangju 61186Republic of Korea Department of Advanced Chemicals and Engineering Chonnam National UniversityGwangju 61186Republic of Korea School of Chemical Engineering Yeungnam UniversityGyeongsan 38541Republic of Korea Department of Energy Engineering Korea Institute of Energy Technology(KENTECH)Naju 58217Republic of Korea

The discovery of efficient,selective,and stable electrocatalysts can be a k.y point to produce the largescale chemical fuels via electrochemical CO_(2) reduction(ECR).In this study,an earth-abundant and nontoxic ZnO-based electrocatalyst was developed for use in gas-diffusion electrodes(GDE),and the effect of nitrogen(N)doping on the ECR activity of ZnO electrocatalysts was ***,a ZnO nanosheet was prepared via the hydrothermal method,and nitridation was performed at different times to control the N-doping *** an increase in the N-doping content,the morphological properties of the nanosheet changed significantly,namely,the 2D nanosheets transformed into irregularly shaped ***,the ECR performance of Zn O electrocatalysts with different N-doping content was assessed in 1.0 M k.CO_(3) electrolyte using a gas-diffusion electrode-based ECR *** the ECR activity increased after a small amount of N doping,it decreased for higher N doping *** them,the N:ZnO-1 h electrocatalysts showed the best CO selectivity,with a faradaic efficiency(FE_(CO))of 92.7%at-0.73 V *** hydrogen electrode(RHE),which was greater than that of an undoped Zn O electrocatalyst(FE_(CO)of 63.4%at-0.78 V_(RHE)).Also,the N:ZnO-1 h electrocatalyst exhibited outstanding durability for 16 h,with a partial current density of-92.1 mA cm^(-2).This improvement of N:ZnO-1 h electrocatalyst can be explained by density functional theory calculations,demonstrating that this improvement of N:ZnO-1 h electrocatalyst comes from(ⅰ)the optimized active sites lowering the free energy barrier for the rate-determining step(RDS),and(ⅱ)the modification of electronic structure enhancing the electron transfer rate by N doping.

关键词： ZnO N-doped ZnO Gas-diffusion electrode CO Selectivity Electrochemical CO_(2)reduction

LiDAR-based estimation of bounding box coordinates using Gaussian process regression and particle swarm optimization

在线全文

学校读者我要写书评

暂无评论

Biomimetic Intelligence & Robotics 2024年第1期4卷 24-35页

作者： Vinodha k. E.S.Gopi Tushar Agnibhoj Department of Electronics and Communication Engineering National Institute of Technology TiruchirappalliTamil Nadu620015India

Camera-based object track.ng systems in a given closed environment lack.privacy and *** this study,light detection and ranging(LiDAR)was applied to track.objects similar to the camera track.ng in a closed environment,guaranteeing privacy and *** primary objective was to demonstrate the efficacy of the proposed technique through carefully designed experiments conducted using two *** Scenario I,the study illustrates the capability of the proposed technique to detect the locations of multiple objects positioned on a flat surface,achieved by analyzing LiDAR data collected from several locations within the closed *** II demonstrates the effectiveness of the proposed technique in detecting multiple objects using LiDAR data obtained from a single,fixed ***-time experiments are conducted with human subjects navigating predefined *** individuals move within an environment,while LiDAR,fixed at the center,dynamically track. and identifies their locations at multiple *** demonstrate that a single,strategically positioned LiDAR can adeptly detect objects in motion around ***,this study provides a comparison of various regression techniques for predicting bounding box *** process regression(GPR),combined with particle swarm optimization(PSO)for prediction,achieves the lowest prediction mean square error of all the regression techniques examined at *** tuning of GPR using PSO significantly minimizes the regression *** of the experiment pave the way for its extension to various real-time applications such as crowd management in malls,surveillance systems,and various Internet of Things scenarios.

关键词： LiDAR Data acquisition Bounding box Gaussian process regression Particle swarm optimization(PSO)

A new route to weak.force sensing beyond SQL: Squeezed magnons in cavity magnomechanics

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2024年

作者： ?.k.?zdemir Department of Engineering Science and Mechanics and Materials Research Institute (MRI) The Pennsylvania State University University Park

Quantum mechanics imposes limits on measurement accuracy through quantum noise which typically has two components: First is the shot noise originating from vacuum fluctuations and referred to as the imprecision noise. Second is the quantum back.ction originating from the “action” of the measurement back.on the object being measured. The balance between the imprecision noise and the quantum back.ction(QBA) noise impose a standard quantum limit(SQL)on the quality of measurement [1].

关键词：

Sparse identification-assisted exploration of the atomic-scale deformation mechanism in multiphase CoCrFeNi high-entropy alloys

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2024年第4期67卷 1124-1132页

作者： XIAO Lu GUO XiaoXiang SUN YuTong WANG Gang LONG WeiMin LIAW Peter k. REN JingLi School of Mathematics and Statistics Zhengzhou UniversityZhengzhou 450001China Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China Institute of Materials Shanghai UniversityShanghai 200444China Sk. of Advanced Brazing Metals&Technology Zhengzhou Research Institute of Mechanical EngineeringZhengzhou 450001China Department of Materials Science and Engineering The University of TennesseeKnoxvilleTN 37996USA

This study investigated the atomic-scale deformation mechanism of multiphase CoCrFeNi high-entropy alloys(HEAs)at liquid helium,liquid nitrogen,and room temperatures.A million-atom multiphase HEA was prepared using molecular dynamics simulation involving melt and quench *** HEA exhibited high-density dislocations and some twins,consistent with experimental *** analysis revealed an inconsistent evolution of the microstructure under tensile *** particular,the elastic and initial plastic stages exhibited an increase in the disordered structure at the expense of the face-centered cubic and hexagonal close-pack.d structures,followed by a subsequent transformation involving multiple structural ***,through sparse identification,a model depicting microstructural evolution during tension was extracted for the CoCrFeNi HEA at three typical temperatures and three tensile *** model highlighted the importance of the body-centered cubic structure in the evolutionary process.

关键词： high-entropy alloy data-driven method microstructure evolution multiphase structure molecular dynamics simulation

Performance of Continuous Wavelet Transform over Fourier Transform in Features Resolutions

在线全文

学校读者我要写书评

暂无评论

International Journal of Geosciences 2024年第2期15卷 87-105页

作者： Michael k. Appiah Sylvester k. Danuor Alfred k. Bienibuor Department of Physics Kwame Nkrumah University of Science and Technology (KNUST) Kumasi Ghana Department of Chemical Sciences University of Energy and Natural Resources Sunyani Ghana

This study presents a comparative analysis of two image enhancement techniques, Continuous Wavelet Transform (CWT) and Fast Fourier Transform (FFT), in the context of improving the clarity of high-quality 3D seismic data obtained from the Tano Basin in West Africa, Ghana. The research focuses on a comparative analysis of image clarity in seismic attribute analysis to facilitate the identification of reservoir features within the subsurface structures. The findings of the study indicate that CWT has a significant advantage over FFT in terms of image quality and identifying subsurface structures. The results demonstrate the superior performance of CWT in providing a better representation, mak.ng it more effective for seismic attribute analysis. The study highlights the importance of choosing the appropriate image enhancement technique based on the specific application needs and the broader context of the study. While CWT provides high-quality images and superior performance in identifying subsurface structures, the selection between these methods should be made judiciously, tak.ng into account the objectives of the study and the characteristics of the signals being analyzed. The research provides valuable insights into the decision-mak.ng process for selecting image enhancement techniques in seismic data analysis, helping researchers and practitioners mak. informed choices that cater to the unique requirements of their studies. Ultimately, this study contributes to the advancement of the field of subsurface imaging and geological feature identification.

关键词： Continuous Wavelet Transform (CWT) Fast Fourier Transform (FFT) Reservoir Characterization Tano Basin Seismic Data Spectral Decomposition

A cross-sectional study of breastfed infants referred for tongue tie assessment and frenotomy in one Canadian health region

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Pediatric Investigation 2024年第1期8卷 53-60页

作者： Tiffany A.Lee Jessica Bishop Anne Drover William k.Midodzi Laurie k.Twells School of Pharmacy Memorial University of Newfoundland(MUN)St.John’sCanada Faculty of Medicine Memorial University of Newfoundland(MUN)St.John’sCanada

Importance:Tongue tie(TT)is a condition that can cause infant feeding difficulties due to restricted tongue *** TT presents as a significant barrier to breastfeeding,a frenotomy may be *** accepted diagnostic criteria for TT are lack.ng and wide prevalence estimates are *** referral processes and a Frenotomy Assessment Tool were implemented in one Canadian health region to connect breastfeeding dyads with a provider for TT evaluation and ***:To determine the proportion of babies with TT as well as the frequency of ***:This cross-sectional study included infants who initiated breastfeeding at birth and were referred for TT evaluation over a 14-month *** were collected retrospectively by chart review and analyzed using *** associated with frenotomy were examined using logistic ***:Two hundred and forty-one babies were ***-two percent(n=222)were diagnosed with TT and 66.0%(n=159)underwent *** the multivariate model,nipple pain/trauma,inability to latch,inability to elevate tongue,and dimpling of tongue on extension were associated with frenotomy(P<0.05).Most referrals in our region resulted in a diagnosis of TT;however,the number of referrals was lower than expected,and of these two-thirds underwent ***:TT is a relatively common finding among breastfed *** research should examine whether a simplified assessment tool containing the four items associated with frenotomy in our multivariate model can identify breastfed infants with TT who require frenotomy.

关键词： Breastfeeding Nutrition Community health services Pediatrics

Turbidite Dynamics and Hydrocarbon Reservoir Formation in the Tano Basin: A Coastal West African Perspective

在线全文

学校读者我要写书评

暂无评论

International Journal of Geosciences 2024年第2期15卷 137-161页

作者： Michael k. Appiah Sylvester k. Danuor Striggner Bedu-Addo Alfred k. Bienibuor Department of Physics Kwame Nkrumah University of Science and Technology (KNUST) Kumasi Ghana Department of Chemical Sciences University of Energy and Natural Resources Sunyani Ghana

This study examines the turbidite dynamics and hydrocarbon reservoir formation in Ghana’s Tano Basin, which is located in coastal West Africa. Through an exploration of geological processes spanning millions of years, we uncover k.y factors shaping hydrocarbon accumulation, including source rock.richness, temperature, pressure, and geological structures. The research offers valuable insights applicable to exploration, management, and sustainable resource exploitation in coastal West Africa. It facilitates the identification of exploration targets with higher hydrocarbon potential, enables the anticipation of reservoir potential within the Tano Basin, and assists in tailoring exploration and management strategies to specific geological conditions of the Tano Basin. Analysis of fluvial channels sheds light on their impact on landscape formation and hydrocarbon exploration. The investigation into turbidite systems unveils intricate interactions involving tectonics, sea-level fluctuations, and sedimentation patterns, influencing the development of reservoirs. An understanding of sediment transport and depositional settings is essential for efficient reservoir management. Geomorphological features, such as channels, submarine canyons, and distinct channel types, are essential in this situation. A detailed examination of turbidite channel structures, encompassing canyons, channel complexes, convex channels, and U-shaped channels, provides valuable insights and aids in identifying exploration targets lik. basal lag, channel levees, and lobes. These findings underscore the enduring significance of turbidite systems as conduits for sediment transport, contributing to enhanced reservoir management and efficient hydrocarbon production. The study also highlights how important it is to examine the configuration of sedimentary layers, stack.ng patterns, and angular laminated facies to identify turbidites, understand reservoir distribution, and improve well design. The dynamic nat

关键词： Reservoir Characterization Tano Basin Seismic Data Hydrocarbon Potential Channels Turbidites

Comparison of Spatial Interpolation Methods of Precipitation Data in Central Macedonia, Greece

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computational Water, Energy, and Environmental Engineering 2024年第1期13卷 13-37页

作者： Athanasios k. Margaritidis Faculty of Agriculture Forestry and Natural Environment School of Agriculture Department of Hydraulics Soil Science & Agriculture Engineering Thessaloniki Greece

The purpose of this paper is to investigate the spatial interpolation of rainfall variability with deterministic and geostatic inspections in the Prefecture of k.lk.s (Greece). The precipitation data where recorded from 12 meteorological stations in the Prefecture of k.lk.s for 36 hydrological years (1973-2008). The cumulative monthly values of rainfall were studied on an annual and seasonal basis as well as during the arid-dry season. In the deterministic tests, the I.D.W. and R.B.F. check. were inspected, while in the geostatic tests, Ordinary k.iging and Universal k.iging respectively. The selection of the optimum method was made based on the least Root Mean Square Error (R.M.S.E.), as well as on the Mean Error (M.E.), as assessed by the cross validation analysis. The geostatical k.iging also considered the impact of isotropy and anisotropy across all time periods of data collection. Moreover, for Universal k.iging, the study explored spherical, exponential and Gaussian models in various combinations. Geostatistical techniques consistently demonstrated greater reliability than deterministic techniques across all time periods of data collection. Specifically, during the annual period, anisotropy was the prevailing characteristic in geostatistical techniques. Moreover, the results for the irrigation and seasonal periods were generally comparable, with few exceptions where isotropic methods yielded lower (R.M.S.E.) in some seasonal observations.

关键词： Interpolation k.iging I.D.W. Precipitation Greece