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Indus.rial Fus.on Cas.ade Detection of s.lder Joint

Computers. Materials.and Continua 2024年第1期81卷 1197-1214页

作者： Li C. Zhang P. Wang s. Liu L. s.i M. Chongqing s.hool University of Chinese Academy of Sciences Chongqing University Chongqing 400044 China Automatic Reas.ning and Cognition Res.arch Center Chongqing Institute ofGreen and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 China College of Artificial Intelligence Chongqing School University of Chinese Academy of Sciences Chongqing 400714 China Des.gn Department Liuzhou Fuzhen Bodywork Industrial Co. Ltd. Liuzhou 545006 China

With the remarkable advancements.in machine vis.on res.arch and its.ever-expanding applications. s.holars.have increas.ngly focus.d on harnes.ing various.vis.on methodologies.ithin the indus.rial realm. s.ecifically, detecting vehicle floor welding points.pos.s.unique challenges. including high operational cos.s.and limited portability in practical s.ttings. To addres. thes. challenges. this.paper innovatively integrates.template matching and the Fas.er RCNN algorithm, pres.nting an indus.rial fus.on cas.aded s.lder joint detection algorithm that s.amles.ly blends.template matching with deep learning techniques. This.algorithm meticulous.y weights.and fus.s.the optimized features.of both methodologies. enhancing the overall detection capabilities. Furthermore, it introduces.an optimized multi-s.ale and multi-template matching approach, leveraging a divers. array of templates.and image pyramid algorithms.to bols.er the accuracy and res.lience of object detection. By integrating deep learning algorithms.with this.multi-s.ale and multi-template matching s.rategy, the cas.aded target matching algorithm effectively accurately identifies.s.lder joint types.and pos.tions. A comprehens.ve welding point datas.t, labeled by experts.s.ecifically for vehicle detection, was.cons.ructed bas.d on images.from authentic indus.rial environments.to validate the algorithm's.performance. Experiments.demons.rate the algorithm's.compelling performance in indus.rial s.enarios. outperforming the s.ngle-template matching algorithm by 21.3%, the multi-s.ale and multitemplate matching algorithm by 3.4%, the Fas.er RCNN algorithm by 19.7%, and the YOLOv9 algorithm by 17.3% in terms.of s.lder joint detection accuracy. This.optimized algorithm exhibits.remarkable robus.nes. and portability, ideally s.ited for detecting s.lder joints.acros. divers. vehicle workpieces. Notably, this.s.udy's.datas.t and feature fus.on approach can be a valuable res.urce for other algorithms.s.eking to enhance their

关键词： Cas.ade object detection deep learning feature fus.on multi-s.ale and multi-template matching s.lder joint datas.t

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An Efficient Long s.ort-TermMemory and Gated Recurrent Unit Bas.d s.art Ves.el Trajectory Prediction Us.ng Automatic Identification s.s.em Data

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Computers. Materials.and Continua 2024年第1期81卷 1789-1808页

作者： Zaman U. Khan J. Lee E. Hus.ain s. Balobaid A.s. Aburas.in R.Y. Kim K. Department of Computer Engineering Chungnam National University Daejeon 34134 South Korea Department of Environmental IT Engineering Chungnam National University Daejeon 34134 South Korea Autonomous.s.ip Res.arch Center Samsung Heavy Industries Daejeon 34051 South Korea ICAROs.Center (PRIs.A Lab) University of Naples Federico II Naples 80131 Italy Department of Computer s.ience College of Computer Science and Information Technology Jazan University Jazan 45142 Saudi Arabia

Maritime trans.ortation, a corners.one of global trade, faces.increas.ng s.fety challenges.due to growing s.a traffic volumes. This.s.udy propos.s.a novel approach to ves.el trajectory prediction utilizing Automatic Identification s.s.em (AIs. data and advanced deep learning models. including Long s.ort-Term Memory (Ls.M), Gated Recurrent Unit (GRU), Bidirectional Ls.M (DBLs.M), s.mple Recurrent Neural Network (s.mpleRNN), and Kalman Filtering. The res.arch implemented rigorous.AIs.data preproces.ing, encompas.ing record deduplication, nois. elimination, s.ationary s.mplification, and removal of ins.gnificant trajectories. Models.were trained us.ng key navigational parameters. latitude, longitude, s.eed, and heading. s.atiotemporal aware proces.ing through trajectory s.gmentation and topological data analys.s.(TDA)was.employed to capture dynamic *** us.ng a three-month AIs.datas.t demons.rated s.gnificant improvements.in prediction accuracy. The GRU model exhibited s.perior performance, achieving training los.es.of 0.0020 (Mean s.uared Error, Ms.) and 0.0334 (Mean Abs.lute Error, MAE), with validation los.es.of 0.0708 (Ms.) and 0.1720 (MAE). The Ls.M model s.owed comparable efficacy, with training los.es.of 0.0011 (Ms.) and 0.0258 (MAE), and validation los.es.of 0.2290 (Ms.) and 0.2652 (MAE). Both models.demons.rated reductions.in training and validation los.es. meas.red by MAE, Ms., Average Dis.lacement Error (ADE), and Final Dis.lacement Error (FDE). This.res.arch unders.ores.the potential of advanced deep learning models.in enhancing maritime s.fety through more accurate trajectory predictions. contributing s.gnificantly to the development of robus., intelligent navigation s.s.ems.for the maritime indus.ry. © 2024 The Authors. Publis.ed by Tech s.ience Pres..

关键词： AIs.data deep learning GRU Ls.M s.art ves.el Trajectory prediction

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Earth: Review Article

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Journal of High Energy Phys.cs. Gravitation and Cos.ology 2024年第1期10卷 31-51页

作者： Vladimir s. Netchitailo Livermore USA

Every year on 22 April, we have celebrated Earth Day and the beautiful planet we call home. Earth Day, es.ablis.ed in 1970, has.been us.d to highlight our planet’s.environmental challenges.and rais. awarenes. of the importance of protecting our world for future generations.[1]. To provide the protection of our planet, we s.ould explain Earth’s.environmental challenges.to the bes. of our knowledge in frames.of contemporary Geophys.cs. This.paper gives.a s.ort overview of the developed Hypers.here World-Univers. Model (WUM) and pay particular attention to the principal role of Dark Matter (DM) in the Earth’s.life. In this.manus.ript, we dis.us. different as.ects.of the Earth: a condition of Young Earth before the Beginning of life on It;Internal s.ructure;“The 660-km Boundary” that we named Geomagma;Random Variations.of Earth’s.Rotational s.eed on a daily bas.s.Origin of Moon;Expanding Earth;Internal Heating;Faint Young s.n paradox;Geocorona and Planetary Coronas.High-Energy Atmos.heric Phys.cs. WUM propos.d principally different ways.to s.lve the problems.of Internal Heating, Origin of the Moon, and Faint Young s.n paradox bas.d on DM core of the Earth. The Model revealed the fact that the s.n Activity caus.s.the Geomagma Activity and, as.a cons.quence, Random Variations.of Earth’s.Rotational s.eed by the varying s.n’s.magnetic field.

关键词： Internal s.ructure 660-km Boundary Internal Heating Faint Young s.n Paradox Origin of Moon Expanding Earth Random Variations.of Earth’s.Rotational s.eed

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Cos.ic Bubbles

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Journal of High Energy Phys.cs. Gravitation and Cos.ology 2024年第1期10卷 438-453页

作者： Vladimir s. Netchitailo Freelancer Livermore USA

The pres.nt paper is.ins.ired by the article “Ho’oleilana: An Individual Baryon Acous.ic Os.illation?” publis.ed by R. B. Tully, C. Howlett, and D. Pomarède on s.p. 2023 [1]. They claim: Evidence is.pres.nted here for the dis.overy of a remarkably s.rong individual contribution to the baryon acous.ic os.illation (BAO) s.gnal at z = 0.068, an entity that is.given the name Ho’oleilana. K. Daws.n, co-s.okes.ers.n for Dark Energy s.ectros.opic Ins.rument is.more inclined to believe that this.lates. finding is.s.mething of a coincidence, a chance alignment that s.mply looks.like a s.here with a radius.around what you’d expect for a BAO [2]. In this.paper, we provide a s.ort s.mmary of experimental obs.rvations.of Boötes.Void and s.perclus.ers.dis.us. the main features.of the developed Hypers.here World-Univers. Model;introduce notions.“Cos.ic Voids. and “Cos.ic Bubbles.;elaborate a mathematical framework for different types.of Cos.ic Bubbles.(Hubble s.herical Bubble for the World, Dis. Bubbles.for Galaxies.s.herical Bubbles.for Extras.lar s.s.ems. Dark Matter (DM) s.herical Bubbles.for Galaxies.and s.perclus.ers.;make a conclus.on that the Boötes.is.a DM Cos.ic Bubble and s.gges. experiments. which confirm our conclus.on.

关键词： World-Univers. Model Boötes.Void Boötes.s.perclus.ers Macroobjects.Bubbles Dark Matter Bubbles Fermi Bubbles Boötes.Bubbles

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s.iffnes. Characteris.ics.of a Bas.c Nonlinear Air s.ring Model

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World Journal of Engineering and Technology 2024年第3期12卷 455-465页

作者： Abdullah s. Als.waiyan Department of Mechanical Engineering College of Engineering Qassim University Buraydah Saudi Arabia

This.s.udy predicts.the characteris.ics.of a compres.ible polytropic air s.ring model. A s.cond-order nonlinear autonomous.air s.ring model is.pres.nted. The propos.d model is.bas.d on the as.umption that polytropic proces.es.occur. Is.thermal and is.ntropic compres.ion and expans.on of the air within the s.ring chambers.are the two s.enarios.that are taken into cons.deration. In thes. s.tuations. the air ins.de the s.ring chambers.compres.es.and expands. res.lting in nonlinear s.ring res.oring forces. The MATLAB/s.mulink s.ftware environment is.us.d to build a numerical s.mulation model for the dynamic behavior of the air s.ring. To quantify the values.of the s.iffnes.es.of the propos.d models. a numerical s.lution is.run over time for various.values.of the des.gn parameters. The is.ntropic proces. cas. has.a higher dynamic air s.ring s.iffnes. than the is.thermal proces. cas., according to the res.lts. The s.ze of the air s.ring chamber and the area of the air s.ring pis.on influence the air s.ring s.iffnes. in both s.tuations. It is.demons.rated that the s.iffnes. of the air s.ring increas.s.linearly with increas.ng pis.on area and decreas.s.nonlinearly with increas.ng air chamber length. As.long as.the ratio of the vibration’s.amplitude to the air s.ring’s.chamber length is.s.all, there is.good agreement in both s.enarios.between the linearized model and the full nonlinear model. This.implies.that linear modeling is.a reas.nable approximation of the complete nonlinear model in this.particular s.enario.

关键词： Air s.ring Dynamic s.iffnes. s.ate s.ace Polytropic Modeling Is.ntropic Proces. Is.thermal Proces.

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Dark Galaxies. s.n-Earth-Moon Interaction, Tungus.a Event—Explained by WUM

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Journal of High Energy Phys.cs. Gravitation and Cos.ology 2024年第2期10卷 836-853页

作者： Vladimir s. Netchitailo Freelancer Livermore USA

Great experimental res.lts.and obs.rvations.achieved by As.ronomy in the las. decades.revealed new unexplainable phenomena. As.ronomers.have conclus.ve new evidence that a recently dis.overed “dark galaxy” is. in fact, an object the s.ze of a galaxy, made entirely of dark matter. They found that the s.eed of the Earth’s.rotation varies.randomly each day. 115 years.ago, the Tungus.a Event was.obs.rved, and as.ronomers.s.ill do not have an explanation of It. Main res.lts.of the pres.nt article are: 1) Dark galaxies.explained by the s.inning of their Dark Matter Cores.with the s.rface s.eed at equator les. than the es.ape velocity. Their Rotational Fis.ion is.not happening. Extras.lar s.s.ems.do not emerge;2) 21-cm Emis.ion explained by the s.lf-annihilation of Dark Matter particles.XIONs.(5.3 μeV);3) s.n-Earth-Moon Interaction explained by the influence of the s.n’s.and the Moon’s.magnetic field on the electrical currents.of the charged Geomagma (the 660-km layer), and, as.a res.lt, the Earth’s.daylength varies.4) Tungus.a Event explained by a huge atmos.heric explos.on of the s.perbolide, which was.a s.able Dark Matter Bubble before entering the Earth’s.atmos.here.

关键词： World-Univers. Model Dark s.ars Dark Galaxies 21-cm Emis.ion Formation of Macros.ructures s.n-Earth-Moon Interaction Tungus.a Event Dark Matter

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Lychrel Numbers.in Bas. 10: A Probabilis.ic Approach

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Advances.in Pure Mathematics 2024年第8期14卷 667-694页

作者： Ros.and s. Kuitché The Res.arch Team in Algebra and Logic (ERAL) Yaound Cameroon

For decades. Lychrel numbers.have been s.udied on many bas.s. Their exis.ence has.been proven in bas. 2, 11 or 17. This.paper pres.nts.a probabilis.ic proof of the exis.ence of Lychrel number in bas. 10 and provides.s.me properties.which enable a mathematical extraction of new Lychrel numbers.from exis.ing ones. This.probabilis.ic approach has.the advantage of being extendable to other bas.s. The res.lts.s.ow that palindromes.can als. be Lychrel numbers.

关键词： Probabilis.ic Approach Palindromes Lychrel Numbers Iteration Function Digits

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Automated Extraction and Analys.s.of CBC Tes. from s.anned Images

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Journal of s.ftware Engineering and Applications 2024年第2期17卷 129-141页

作者： Iman s. Alans.ri Computer s.ience Department College of Computer Science and Engineering Taibah University Madinah Saudi Arabia

Health care is.an important part of human life and is.a right for everyone. One of the mos. bas.c human rights.is.to receive health care whenever they need it. However, this.is.s.mply not an option for everyone due to the s.cial conditions.in which s.me communities.live and not everyone has.acces. to it. This.paper aims.to s.rve as.a reference point and guide for us.rs.who are interes.ed in monitoring their health, particularly their blood analys.s.to be aware of their health condition in an eas. way. This.s.udy introduces.an algorithmic approach for extracting and analyzing Complete Blood Count (CBC) parameters.from s.anned images. The algorithm employs.Optical Character Recognition (OCR) technology to proces. images.containing tabular data, s.ecifically targeting CBC parameter tables. Upon image proces.ing, the algorithm extracts.data and identifies.CBC parameters.and their corres.onding values. It evaluates.the s.atus.(High, Low, or Normal) of each parameter and s.bs.quently pres.nts.evaluations. and any potential diagnos.s. The primary objective is.to automate the extraction and evaluation of CBC parameters. aiding healthcare profes.ionals.in s.iftly as.es.ing blood analys.s.res.lts. The algorithmic framework aims.to s.reamline the interpretation of CBC tes.s. potentially improving efficiency and accuracy in clinical diagnos.ics.

关键词： Image Proces.ing Optical Character Recognition Tes.eract OCR Health Care Application

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为可能未来提出的概念——s.哈纳菲访谈赵汀阳

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世界哲学 2024年第3期 151-159,F0003页

作者：赵汀阳 [黎巴嫩]s.哈纳菲马笑寒(译) 中国社会科学院哲学研究所学部中国社会科学院美学研究中心贝鲁特美国大学阿拉伯和中东研究中心中国社会科学院大学哲学院

哈纳菲教授与赵汀阳教授围绕“天下”以及跨文化问题展开了一次对话。“天下”是一个面向全世界的概念,等待着属于它的可能未来。天下体系在其概念化设定中,旨在容纳一切造物,从而构成一种“无外”世界,实现所有文明的“协和”。在赵汀... 详细信息

哈纳菲教授与赵汀阳教授围绕“天下”以及跨文化问题展开了一次对话。“天下”是一个面向全世界的概念,等待着属于它的可能未来。天下体系在其概念化设定中,旨在容纳一切造物,从而构成一种“无外”世界,实现所有文明的“协和”。在赵汀阳的论证中,“天下”是一种将敌意化为善意的方法论或艺术。与传统观念相比,为了使“天下”的重新构想更为合理和实用,赵汀阳提出了三个“宪法性”的原则:(1)世界的内部化;(2)关系理性;(3)孔子改善。在知识论的意义上,新的天下体系同时设想了与之匹配的新百科全书概念,它意味着知识摆脱了空间限制,并且能够依据平等的尊重和互惠的认识,从而容纳所有文明的所有知识。两位教授也对变在存在论、智慧民主、预付人权理论及价值修饰词等问题进行了讨论。

关键词：天下体系共在新百科全书智慧民主预付人权

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Artificial Intelligence ChatGPT’s.Pers.ective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative s.nthes.s.

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Intelligent Information Management 2024年第1期16卷 10-20页

作者： Neil Capes.Hiran Patel Is.am s.rhan Gur-Aziz s. s.dhu Neil As.wood Andrew Dekker Department of Trauma & Orthopaedics University Hospitals Derby and Burton Derby United Kingdom Department of Trauma & Orthopaedics University Hospital Lewisham London United Kingdom Res.arch Ins.itute University of Wolverhampton Wolverhampton United Kingdom

ChatGPT has.obvious.benefits.in the way it can interrogate vas. amounts.of reference information and utilis. metadata generation to ans.er ques.ions.pos.d to it and is.freely available having been developed through human feedback. Already there are ethical and practical implications.on its.impact on learning and res.arch. Artificial Intelligence (AI) has.been s.en as.a way of improving healthcare provis.on by delivering more robus. outcomes.but meas.ring thes. and implementing AI within this.s.tting is.at pres.nt limited and dis.ointed. Methods. ChatGPT was.interrogated to s.e what it felt were the barriers.to its.implementation within healthcare and in particular orthopaedic practice. The evidence for this.determination was.then examined for validity and applicability for a practical roll out at a Trus., Regional or National level. Res.lts. AI can s.nthes.s. a vas. amount of information to help it ans.er s.ecific ques.ions. The context and s.ructure of any ques.ion will determine the us.fulnes. of the ans.er which can then be us.d to develop practical s.lutions.bas.d on experience and res.urce limitations. Conclus.ons. AI has.a role in s.rvice development and can quickly focus.a working group to areas.to cons.der when practically implementing change.

关键词： Artificial Intelligence ChatGPT

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