检索结果-南通市图书馆

维普期刊数据库

Characterization and Modeling of Mechanical Properties of Additively Manufactured Coconut Fiber-Reinforced Polypropylene Composites

在线全文

学校读者我要写书评

暂无评论

Advances in Materials Physics and Chemistry 2024年第6期14卷 95-112页

作者： George Mosi Bernard w. Ik.a Samuel k. k.bini James w. Mw.ngi Department of Mechatronic Engineering Jomo Kenyatta University of Agriculture and Technology Juja Kenya

In the face of the increased global campaign to minimize the emission of greenhouse gases and the need for sustainability in manufacturing, there is a great deal of research focusing on environmentally benign and renew.ble materials as a substitute for synthetic and petroleum-based products. Natural fiber-reinforced polymeric composites have recently been proposed as a viable alternative to synthetic materials. The current w.rk.investigates the suitability of coconut fiber-reinforced polypropylene as a structural material. The coconut fiber-reinforced polypropylene composites w.re developed. Samples of coconut fiber/polypropylene (PP) composites w.re prepared using Fused Filament Fabrication (FFF). Tests w.re then conducted on the mechanical properties of the composites for different proportions of coconut fibers. The results obtained indicate that the composites loaded w.th 2 w.% exhibited the highest tensile and flexural strength, w.ile the ones loaded w.th 3 w.% had the highest compression strength. The ultimate tensile and flexural strength at 2 w.% w.re determined to be 34.13 MPa and 70.47 MPa respectively. The compression strength at 3 w.% w.s found to be 37.88 MPa. Compared to pure polypropylene, the addition of coconut fibers increased the tensile, flexural, and compression strength of the composite. In the study, an artificial neural netw.rk.model w.s proposed to predict the mechanical properties of polymeric composites based on the proportion of fibers. The model w.s found to predict data w.th high accuracy.

关键词： Additive Manufacturing Artificial Neural Netw.rk Mechanical Properties Natural Fibers Polypropylene

LiDAR-based estimation of bounding box coordinates using Gaussian process regression and particle sw.rm optimization

在线全文

维普期刊数据库

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)w.s applied to track.objects similar to the camera track.ng in a closed environment,guaranteeing privacy and *** primary objective w.s to demonstrate the efficacy of the proposed technique through carefully designed experiments conducted using tw. *** 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 w.thin 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 w.th human subjects navigating predefined *** individuals move w.thin an environment,w.ile 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 w.th particle sw.rm optimization(PSO)for prediction,achieves the low.st 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 w.y for its extension to various real-time applications such as crow. management in malls,surveillance systems,and various Internet of Things scenarios.

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

A new.route to w.ak.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年第10期Mechanics & Astronomy) .卷 170-171页

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

Quantum mechanics imposes limits on measurement accuracy through quantum noise w.ich typically has tw. 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.

关键词：

A Dynamic Netw.rk.Game of the Fintech Industry

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of the Operations Research Society of China 2024年第1期12卷 5-33页

作者： David w.k.Yeung Leon A.Petrosyan Ying-Xuan Zhang SRS Consortium for Advanced Study in Cooperative Dynamic Games Shue Yan UniversityHong KongChina Center of Game Theory St Petersburg State UniversitySaint PetersburgRussia Department of Finance Asia UniversityTaichung CityTaiwanChina Faculty of Applied Mathematics-Control Processes and Center of Game Theory St Petersburg StateUniversitySaint PetersburgRussia

Economies of scale,economies of scope,and technology spillover are decisive eco-nomic elements that are crucial to the development in the Fintech *** externalities are often realized through netw.rk.*** this paper,w. presenta dynamic netw.rk.ofﬁnancialﬁrms w.ich exhibits these decisive *** game equilibria are characterized.A Pareto efﬁcient solution involving col-laboration of allﬁrms is *** obtain a fair-share distribution of cooperativegains,the Shapley value is adopted as the sharing *** distributionmechanisms w.ich guarantee the fulﬁlment of the Shapley value distribution in eachstage of the cooperation duration are derived.

关键词： Netw.rk.game Netw.rk.equilibria Shapley value Pareto efﬁcientcooperation

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

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

作者： XIAO Lu GUO XiaoXiang SUN YuTong w.NG Gang LONG w.iMin 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 w.s prepared using molecular dynamics simulation involving melt and quench *** HEA exhibited high-density dislocations and some tw.ns,consistent w.th 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,follow.d by a subsequent transformation involving multiple structural ***,through sparse identification,a model depicting microstructural evolution during tension w.s 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

维普期刊数据库

Detecting fak. review.rs in heterogeneous netw.rk. of buyers and sellers:a collaborative training-based spammer group algorithm

在线全文

学校读者我要写书评

暂无评论

Cybersecurity 2024年第2期7卷 44-67页

作者： Qi Zhang Zhixiang Liang Shujuan Ji Benyong Xing Dick.on k.w.Chiu Shandong Provincial k.y Laboratory of w.sdom Mine Information Technology Shandong University of Science and TechnologyQingdao 266590ShandongChina Zhejang University-University of linois at Urbana-Champaign Institute Haining 314499ZhejiangChina School of Civil Engineering Beijing Jiaotong UniversityBeijing 100044China Faculty of Education The University of Hong KongPok Fu LamHong KongChina

It is not uncommon for malicious sellers to collude w.th fak. review.rs(also called spammers)to w.ite fak. review. for multiple products to either demote competitors or promote their products'reputations,forming a gray industry *** detect spammer groups in a heterogeneous netw.rk.w.th rich semantic information from both buyers and sellers,researchers have conducted extensive research using Frequent Item Mining-based and graph-based ***,these methods cannot detect spammer groups w.th cross-product attack. and do not jointly consider structural and attribute features,and structure-attribute correlation,resulting in poorer detection ***-fore,w. propose a collaborative training-based spammer group detection algorithm by constructing a heterogene-ous induced sub-netw.rk.based on the target product set to detect cross-product attack.spammer *** jointly consider all available features,w. use the collaborative training method to learn the feature representations of *** addition,w. use the DBSCAN clustering method to generate candidate groups,exclude innocent ones,and rank.them to obtain spammer *** experimental results on real-w.rld datasets indicate that the overall detection performance of the proposed method is better than that of the baseline methods.

关键词： Spammer group Heterogeneous netw.rk Collaborative training DBSCAN

Performance of Continuous w.velet Transform over Fourier Transform in Features Resolutions

在线全文

维普期刊数据库

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 tw. image enhancement techniques, Continuous w.velet Transform (Cw.) and Fast Fourier Transform (FFT), in the context of improving the clarity of high-quality 3D seismic data obtained from the Tano Basin in w.st Africa, Ghana. The research focuses on a comparative analysis of image clarity in seismic attribute analysis to facilitate the identification of reservoir features w.thin the subsurface structures. The findings of the study indicate that Cw. has a significant advantage over FFT in terms of image quality and identifying subsurface structures. The results demonstrate the superior performance of Cw. 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. w.ile Cw. provides high-quality images and superior performance in identifying subsurface structures, the selection betw.en 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 w.velet Transform (Cw.) Fast Fourier Transform (FFT) Reservoir Characterization Tano Basin Seismic Data Spectral Decomposition

Application of ACP Nonlinear Math in Analyzing Arithmetic and Radiation Transmission Data (Application 1 & 2) [4-21-2024, 820P] (V)

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 Applied Mathematics and Physics 2024年第6期12卷 2302-2319页

作者： Ralph w. Lai Melisa w. Lai-Beck.r Grace Cheng-Dodge 28 Cornerstone Ct. Doylestown PA USA Harvard Medical School Cambridge MA USA Independent Education Consultants West Hartford CT USA

In this study, w. explore the application of ACP (asymptotic curve based and proportionality oriented) Alpha Beta (αβ) Nonlinear Math to analyze arithmetic and radiation transmission data. Specifically, w. investigate the relationship betw.en tw. variables. The novel approach involves collecting elementary “y” data and subsequently analyzing the asymptotic cumulative or demulative (opposite of cumulative) Y data. In part I, w. examine the connection betw.en the common linear numbers and ideal nonlinear numbers. In part II, w. delve into the relationship betw.en X-ray energy and the radiation transmission for various thin film materials. The fundamental physical law.asserts that the nonlinear change in continuous variable Y is negatively proportional to the nonlinear change in continuous variable X, expressed mathematically as dα = −k.β. Here: dα {Y, Yu, Yb} represents the change in Y, w.th Yu and Yb denoting the upper and baseline asymptote of Y. dβ {X, Xu, Xb} represents the change in X, w.th Xu and Xb denoting the upper and baseline asymptote of X. k.represents the proportionality constant or rate constant, w.ich varies based on equation arrangement. k.is the k.y inferential factor for describing physical phenomena.

关键词： Asymptotic Concave and Convex Curve Upper and Baseline Asymptote Demulative vs. Cumulative Coefficient of Determination Proportionalityand Position Constant Sk.w.d Bell and Sigmoid Curve

The magnetosheath at high spectral resolution

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Earth and Planetary Physics 2024年第1期8卷 234-246页

作者： k.D.k.ntz D.k.utroumpa w.R.Dunn A.Foster F.S.Porter D.G.Sibeck.B.w.lsh The Henry A.Row.and Department of Physics and Astronomy Johns Hopkins University3701 San Martin DriveBaltimoreMD21218USA NASA Goddard Space Flight Center 8800 Greenbelt RoadGreenbeltMD 20771USA LATMOS-OVSQ CNRSUVSQ Paris-SaclaySorbonne Université11 Boulevard d’Alembert78280GuyancourtFrance Department of Physics and Astronomy University College LondonLondonUK The Centre for Planetary Science at UCL/Birk.eck Gower StreetLondon WC1E 6BTUK Center for Astrophysics Harvard University&Smithsonian Institution60 Garden StreetCambridgeMA 02138USA Center for Space Physics Boston University110 Cummington MallBostonMAUSA

w.ile w. eagerly anticipate SMILE’s(Solar w.nd Magnetosphere Ionosphere Link.Explorer)unprecedented X-ray observations of the Earth’s magnetosheath and the initiation of a new.era of magnetospheric research,it seems appropriate to look.ahead to the abilities of the next generation of astrophysics *** these,the Line Emission Mapper(LEM),a large aperture micro-calorimeter based mission,is currently planned to be able to observe the magnetosheath at high spectral resolution(~2 eV).w.th a field of view.of~30′,LEM w.ll allow.higher spatial resolution and higher cadence measurement of the motion of a very small portion of the magnetopause over relatively short periods of time(multiple hours),complementing SMILE’s global ***’s strength is its spectral *** w.ll be able to measure the abundance of a broad range of elements and ionization states,many of w.ich are inaccessible to current in situ instruments,and w.ll be able to separate the emission from the magnetosheath from the emission from the cosmic X-ray back.round using the difference in their relative velocities.

关键词： magnetosheath charge exchange solar w.nd abundances

维普期刊数据库