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Machine learning for predicting the outcome of terminal ballistics events

Defence Technology（防务技术） 2024年第1期31卷 14-26页

作者： Shannon Ryan Neeraj mohan Sushma Arun kumar AV Julian Berk Tahrima Hashem Santu Rana Svetha Venkatesh Applied Artificial Intelligence Institute(A2I2) Deakin University75 Pigdons RdWaurn PondsVIC3216Australia

Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal *** evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite *** achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release *** demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this *** extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is *** circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss *** physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when *** resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical *** with numerical analysis tools such as finite element solvers the ML models run orders of magnitude *** provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballist

关键词： Machine learning Artificial intelligence Physics-informed machine learning Terminal ballistics Armour

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Photonic properties and applications of multi-functional organo-lanthanide complexes:Recent advances

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Journal of Rare Earths 2024年第1期42卷 16-27,I0001页

作者： Virender Archana Chauhan Ashwani kumar Gurjaspreet Singh Alexander A.Solovev Jichuan Xiong Xuefeng Liu Brij mohan Department of Chemistry Kurukshetra University KurukshetraKurukshetra136119India Aggarwal College Ballabhgarh121004Department of Higher EducationHaryanaIndia Department of Chemistry&Centre for Advanced Studies in Chemistry Panjab UniversityChandigarh160014India Department of Materials Science Fudan UniversityShanghai200433China School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing210094China College of Ocean Food and Biological Engineering Jimei UniversityXiamen361021China

Lanthanides(Ln(Ⅲ))based compounds as light-emitting materials have emerged as successful agents in high-performance defense and lighting systems,magnets,bio-markers,and ***,they have recently gained much attention as energy-saving and cost-effective luminescent materials and their applications in analyte *** present review summarizes powerful features and recent developments of organo-lanthanide complexes in lighting applications with a particular focus on visible light emitters,including Eu(Ⅲ),Tb(Ⅲ),Sm(Ⅲ),and Dy(Ⅲ)*** addition,this review discusses the most relevant aspects of photosensitization,such as the structure,property,functionalization of primary and secondary ligands,and molecular *** addition,coordination sites of organo-lanthanide complexes and their applications collectively contribute to the improved performance of innovative luminescent ***,the current challenges and key recommendations for advancing organolanthanides in material science are provided.

关键词： Lanthanides Organometallic Luminescent Lifetime OLED Rare earths

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Downwash airflow distribution pattern of hexa-copter unmanned aerial vehicles

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 24-34页

作者： Dengeru Yallappa Ramasamy Kavitha Allimuthu Surendrakumar Kannan Balaji Balakrishnan Suthakar ayyas.my paramas.vam mohan kumar Yathendranaik Ravi Narayananaik Ashoka kumar Kavan Department of Farm Machinery and Power Engineering Agricultural Engineering College and Research InstituteTamil Nadu Agricultural UniversityCoimbatore

In recent times,the use of vertical take-off and landing(VTOL)multi-rotor Unmanned Aerial Vehicle(UAVs)for spraying chemical pesticides against weeds and pests has recently become *** current aerial spray application research is primarily focused on examining the influence of UAV spraying parameters such as flight height,travel speed,rotor configuration,droplet size,payload and wind *** downwash airflow velocity generated by the UAV rotor propeller has a significant impact on the droplet deposition process.A test rig was developed to measure the downwash airflow pattern generated by the rotor propeller of a *** this investigation,a six-rotor electric autonomous UAV sprayer was used to investigate the parameters and distribution laws of downwash airflow *** downwash airflow velocity was measured using portable anemometers mounted on the test rig at radial positions viz.,0 m,0.5 m,1 m,1.5 m and 2 m,perpendicular to(X)and parallel to the UAV’s flight direction(Y).The experiment was conducted at three levels of hover height,viz.,1 m,2 m and 3 m(Z)and three levels of payload,viz.,0 kg,5 kg,and 10 *** special downwash airflow distribution pattern was analysed using the Python programming language(Version 3.7).Results show that the downwash airflow velocity generated by the radial position of the UAV rotor is evenly distributed on the rotating loop and the standard deviation of the downwash airflow velocity is less than 0.5 m/*** maximum downwash airflow velocity of 13.8 m/s was observed below the rotor at 10 kg payload capacity,1 m hover height(Z),and 0.5 m in the *** minimum downwash wind field of 0.3 m/s was observed at 0 kg pay load capacity,1 m height,and 2 m in the *** downwash airflow velocity along each position in the radial direction of the rotor increases initially and then *** downwash airflow distribution results helps in mounting of spray nozzle configuration to drone sprayer which helps to

关键词： downwash air payload rotor propeller flight height distribution analysis flight direction

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Comparison of the Anatomy and Adaptability of Reconstructed Teeth with Natural Teeth:An Innovative Approach in Forensic Dentistry

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Journal of Forensic Science and Medicine 2024年第1期10卷 47-54页

作者： Supraja S P M Tejaswi Ravikanth Manyam mohan kumar Pasupuleti Swetha P Ramesh kumar Budumuru Department of Oral and Maxillofacial Pathology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia Vishnu Dental College BhimavaramAndhra PradeshIndia Department of Periodontics and Implantology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia Department of Oral Medicine and Radiology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia

Background:Forensic tooth reconstruction is the technique of reconstructing the morphology of a missing tooth from the intra-alveolar morphology of dental sockets from skeletal *** and Objectives:The aim and objective of the study are to compare and investigate whether the anatomy and adaptability of reconstructed teeth simulate with the natural tooth and to investigate whether the dental materials have potential in reconstruction of *** and Methods:An in vitro experimental study was undertaken on a human *** to the Fédération Dentaire Internationale,charting will be done based on the number of teeth *** entire study will be conducted in three phases using dental *** 1 comprised preparation for negative replica,where an impression will be taken,Phase 2 comprised preparation of a positive replica or cast,and Phase 3 comprised tooth reconstruction using the flowable ***:The specimen tooth(which had been taken from its socket)and the newly constructed tooth were compared,and when the length of the newly constructed root was measured using digital vernier calipers,there was a disparity of 0.5-1 *** cone-beam computed tomography radiographs demonstrated the necessary ***:The present study demonstrated that dental information can be obtained even when teeth are absent postmortem by making an attempt to recreate the teeth using dental materials while documenting the intra-alveolar anatomy of the dental root socket.

关键词： Adaptability anatomy reconstruction teeth

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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

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Big Data Mining and Analytics 2024年第2期7卷 399-418页

作者： Sankaramoorthy Muthubalaji Naresh kumar Muniyaraj Sarvade Pedda Venkata Subba Rao Kavitha Thandapani Pasupuleti Rama mohan Thangam Somasundaram Yousef Farhaoui Department of Electrical and Electronics Engineering CMR College of Engineering&TechnologyHyderabad 501401India Department of Electronics and Communication Engineering Vardhaman College of Engineering KacharamShamshabad 501218India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and TechnologyHyderabad 501301India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India Department of Electrical and Electronics Engineering Bharat Institute of Engineering and TechnologyHyderabad 501510India Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidhyapeethamBengaluru 560035India T-IDMS Department of Computer ScienceFaculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco

Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies,along with data processing and advanced *** main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information *** original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI ***,an AdaBelief Exponential Feature Selection(AEFS)technique is used to efficiently handle the input huge datasets from the smart grid for boosting ***,a Kernel based Extreme Neural Network(KENN)technique is used to anticipate security vulnerabilities more *** Polar Bear Optimization(PBO)algorithm is used to efficiently determine the parameters for the estimate of radial basis ***,several types of smart grid network datasets are employed during analysis in order to examine the outcomes and efficiency of the proposed AdaBelief Exponential Feature Selection-Kernel based Extreme Neural Network(AEFS-KENN)big data security *** results reveal that the accuracy of proposed AEFS-KENN is increased up to 99.5%with precision and AUC of 99%for all smart grid big datasets used in this study.

关键词： smart grid Machine Learning(ML) big data analytics AdaBelief Exponential Feature Selection(AEFS) Polar Bear Optimization(PBO) Kernel Extreme Neural Network(KENN)

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AI Fairness-From Machine Learning to Federated Learning

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1203-1215页

作者： Lalit mohan Patnaik Wenfeng Wang Consciousness Studies Program School of HumanitiesNational Institute of Advanced StudiesBangalore560012India Research Institute of Intelligent Engineering and Data Applications Shanghai Institute of TechnologyShanghai201418China Research Center of Ecology and Environment of Central Asia Chinese Academy of SciencesUrumqi830011China Applied Nonlinear Science Lab Anand International College of EngineeringJaipur391320India London Institute of Technology The ASE-London CTI of SCOLondonCR26EQUK Sino-Indian Joint Research Center of AI and Robotics The IMT InstituteBhubaneswar752054India

This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also *** a reliable and quantitative evaluation of AI fairness,many associated concepts have been proposed,formulated and ***,the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure *** privacy worries induce the data unfairness and hence,the biases in the datasets for evaluating AI fairness are *** imbalance between algorithms’utility and humanization has further reinforced *** for federated learning systems,these constraints on precision AI fairness still *** solution is to reconcile the federated learning processes and reduce biases and imbalances accordingly.

关键词： Formulation evaluation classification constraints imbalance biases

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Compositionally graded high-voltage P2-type cathode with superior structural stability and redox kinetics for advanced Na-ion batteries

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Nano Research 2024年第4期17卷 2755-2762页

作者： Peiyu Hou mohan Dong Zhenbo Sun Feng Li School of Physics and Technology University of JinanJinan 250022China

Layered P2-type cathodes with high voltage,large capacity,and easy synthesis show great potential for developing sodium(Na)-ion batteries(NIBs).However,the P2–O2 phase transition makes their structural degradation and the Na^(+)/vacancy ordering lowers their redox ***,we rationally propose a compositionally graded P2-type cathode,where nickel(Ni)and manganese(Mn)fractions decrease gradually,and cobalt(Co)content increases contiguously from the inside to the outside of a secondary *** these particles,the Ni/Mn-based compound delivers high capacity and high *** the surface of particles,the Co/Mn-based solid solution offers a stable buffer *** from these synergistic effects,this graded P2-type cathode shows the elimination of P2–O2 transformation even when charged to 4.4 V,which enables good structural stability,maintaining capacity retention reaching~80%within 300 ***,the Na^(+)/vacancy ordering superstructure is further suppressed,and the Na^(+)diffusion kinetics is significantly *** proposed graded structure with optimized chemical composition offers a new perspective for eliminating the unwanted phase transition and thus enhancing the electrochemistry of high-voltage layered cathodes for advanced NIBs.

关键词： Na-ion battery P2-type cathode composition regulation phase transition redox stability

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A Journey Along the Frontier:my Attempts to Bring Accountability to Shadow Education in Australia and Beyond

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ECNU Review of Education 2024年第1期7卷 111-130页

作者： mohan Dhall University of Technology Sydney

●This article provides insights into stakeholders'challenges while bringing educational accountability to private tutoring providers through a self-regulation *** is no participant involved in this narrative inquiry study.●Policymakers may be ambivalent about bringing accountability as their families may benefit from private tutoring.●This account is written from the perspective of a teacher-trained tutor who has worked with policymakers to address some of the challenges.●This first-person narrative describes the experience of establishing a national peak body to bring greater accountability to private tutoring *** peak body is unique because it positions the educational interests of students as at least equal to providers'commercial interests.●The author believes that greater accountability for tutoring businesses is required in all markets and that issues will not resolve through self-regulation alone.

关键词： Coaching coaching colleges shadow education tuition tutoring

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Navigating the hydrogen prospect:A comprehensive review of sustainable source-based production technologies, transport solutions,advanced storage mechanisms, and CCUS integration

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Journal of Energy Chemistry 2024年第10期97卷 166-215页

作者： Sehar Tasleem Chandra Sekhar Bongu mohan Raj Krishnan Edreese Housni Alsharaeh College of Science and General Studies Alfaisal University

The review is a comprehensive discussion of current research advances,commercial scale developments,challenges,and techno-eco nomics for the entire H2value chain,including production,mainly focusing on sustainable sources,storage,and *** challenges,advantages,and uses of H2energy are included at ***,apart from the sustainable production approaches,the approaches and current developments for combating the carbon dioxide（CO2） emissions from existing H2production facilities are highlighted in terms of ca rbon capture,utilization,and storage（CCUS）.Concisely,the review discusses current material and recent technological adva ncements in developing pilot projects and large-scale establishments for viable and rapidly emerging sou rce-ba sed H2productio ***,the review also aims to provide an in-depthdiscussion and explore current developments based on the advantages of H2energy in terms of its utilization,based on its high energy density,and its ability to be used as a feedstock and *** the other hand,the challenges of H2are also elabo ***,the role of CCUS in a carbon-neutral economy and value chain for minimization of emissions from existing facilities is thoroughly deliberated,and the recent commercial-scale implementation of CCUS technologies is *** the utilization and recycling of captured CO2emissions along with H2to produce e-fuels in terms of current advances is detailed in this *** rthermore,the most applicable,efficient,a nd develo ping approaches are discussed for physical and chemical H2storage,considering recent la rge-scale implementations of liquid carriers and liquid organic hydrogen carriers as storage ***,the review elaborates on recent insights into advances in H2transport infrastructure,including compressed and liquid H2delivery via roads,ships,pipelines,and flight *** review gives precise insights into the recent scenario through an elaborated conclusion of each discussion t

关键词： Carbon capture E-fuels Hydrogen storage Hydrogen utilization Source-based hydrogen Transport infrastructure

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Economic Power Dispatching from Distributed Generations: Review of Optimization Techniques

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Energy Engineering 2024年第3期121卷 557-579页

作者： Paramjeet Kaur Krishna Teerth Chaturvedi mohan Lal Kolhe Department of Electrical&Electronics Engineering University Institute of TechnologyBhopalIndia Faculty of Engineering and Science University of AgderKristiansandNorway

In the increasingly decentralized energy environment,economical power dispatching from distributed generations(DGs)is crucial to minimizing operating costs,optimizing resource utilization,and guaranteeing a consistent and sustainable supply of electricity.A comprehensive review of optimization techniques for economic power dispatching from distributed generations is imperative to identify the most effective strategies for minimizing operational costs while maintaining grid stability and *** choice of optimization technique for economic power dispatching from DGs depends on a number of factors,such as the size and complexity of the power system,the availability of computational resources,and the specific requirements of the *** techniques for economic power dispatching from distributed generations(DGs)can be classified into two main categories:(i)Classical optimization techniques,(ii)Heuristic optimization *** classical optimization techniques,the linear programming(LP)model is one of the most popular optimization *** the LP model,power demand and network constraints are met while minimizing the overall cost of generating electricity from *** approach is efficient in determining the best DGs dispatch and is capable of handling challenging optimization issues in the large-scale system including *** quadratic programming(QP)model,a classical optimization technique,is a further popular optimization method,to consider *** QP model can take into account the quadratic cost of energy production,with consideration constraints like network capacity,voltage,and *** metaheuristic optimization techniques are also used for economic power dispatching from DGs,which include genetic algorithms(GA),particle swarm optimization(PSO),and ant colony optimization(ACO).Also,Some researchers are developing hybrid optimization techniques that combine elements of classical and heuristic optimiz

关键词： Economic power dispatching distributed generations decentralized energy cost minimization optimization techniques

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