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依托实验现象深度研究自感问题

现代物理 2024年第4期14卷 125-134页

作者：谭文黄绍书六盘水市第23中学贵州六盘水安顺学院数理学院贵州安顺

本文利用日光灯电感镇流器大自感系数和普通小自感线圈的特点,设计了教学体验型实验,根据实验现象对自感问题进行了比较深入的研究,给出了实验电路在线性模型下的通电过程及断电过程的自感电动势和自感电流表达式。分析了线性理论结果... 详细信息

本文利用日光灯电感镇流器大自感系数和普通小自感线圈的特点,设计了教学体验型实验,根据实验现象对自感问题进行了比较深入的研究,给出了实验电路在线性模型下的通电过程及断电过程的自感电动势和自感电流表达式。分析了线性理论结果与实验现象不完全吻合的原因,同时,纠正了有关文献对自感电流和自感电动势的错误认识。

关键词：大自感系数电流变化自感电动势自感电流

RADIATION BOUNDARY CONDITIONS FOR MAXWELL'S EQUATIONS:A REVIEW OF ACCURATE TIME-DOMAIN FORMULATIONS

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Journal of Computational Mathematics 2007年第3期25卷 305-336页

作者： Thomas Hagstrom Stephen Lau Department of Mathematics and Statistics University of New MexicoAlbuquerqueNM 87131USA Division of Applied Mathematics Brown University182 George StreetProvidenceRI 02912USA

We review time-domain formulations of radiation boundary conditions for Maxwell＇s equations, focusing on methods which can deliver arbitrary accuracy at acceptable compu-tational cost. Examples include fast evaluations of nonlocal conditions on symmetric and general boundaries, methods based on identifying and evaluating equivalent sources, and local approximations such as the perfectly matched layer and sequences of local boundary conditions. Complexity estimates are derived to assess work and storage requirements as a function of wavelength and simulation time.

关键词： Maxwell's equations Radiation boundary conditions Fast algorithms Kirchoffformulas Perfectly matched layers.

Dynamic load balancing with learning model for Sudoku solving system

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Digital Communications and Networks 2020年第1期6卷 108-114页

作者： Nattapong Kitsuwan Praphan Pavarangkoon Hendro Mulyo Widiyanto Eiji Oki Department of Computer and Network Engineering The University of Electro-Communications1-5-1ChofugaokaChofu-shiTokyo182-8585Japan

This paper proposes a dynamic load balancing with learning model for a Sudoku problem solving system that has multiple workers and multiple *** objective is to minimise the total processing time of problem *** load balancing with learning model distributes each Sudoku problem to an appropriate pair of worker and solver when it is received by the *** information of the estimated solution time for a specific number of given input values,the estimated finishing time of each worker,and the idle status of each worker is used to determine the worker-solver *** addition,the proposed system can estimate the waiting period for each *** results show that the system has shorter processing time than conventional alternatives.

关键词： Dynamic load balancing Learning model Sudoku

Privacy-Preserving Information Fusion Technique for Device to Server-Enabled Communication in the Internet of Things:A Hybrid Approach

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Computers, Materials & Continua 2024年第7期80卷 1305-1323页

作者： Amal Al-Rasheed Rahim Khan Tahani Alsaed Mahwish Kundi Mohamad Hanif Md.Saad Mahidur R.Sarker Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science AbdulWali Khan University MardanMardan23200Pakistan Faculty of Computing and Informatics University Malaysia SabahKota KinabaluSabah88400Malaysia Applied College Taibah UniversityMadinah41477Saudi Arabia Maynooth International Engineering College Maynooth UniversityCo KildareW23 X021Irland Department of Mechanical Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Institute of Visual Informatics Universiti Kebangsaan MalaysiaBangiSelangor43600Malaysia University of Design Innovation and Technology(UDIT)Av.Alfonso XIII97Madrid28016Spain

Due to the overwhelming characteristics of the Internet of Things(IoT)and its adoption in approximately every aspect of our lives,the concept of individual devices’privacy has gained prominent attention from both customers,i.e.,people,and industries as wearable devices collect sensitive information about patients(both admitted and outdoor)in smart healthcare *** addition to privacy,outliers or noise are among the crucial issues,which are directly correlated with IoT infrastructures,as most member devices are resource-limited and could generate or transmit false data that is required to be refined before processing,i.e.,***,the development of privacy-preserving information fusion techniques is highly encouraged,especially those designed for smart IoT-enabled *** this paper,we are going to present an effective hybrid approach that can refine raw data values captured by the respectivemember device before transmission while preserving its privacy through the utilization of the differential privacy technique in IoT *** window,i.e.,δi based dynamic programming methodology,is implemented at the device level to ensure precise and accurate detection of outliers or noisy data,and refine it prior to activation of the respective transmission ***,an appropriate privacy budget has been selected,which is enough to ensure the privacy of every individualmodule,i.e.,a wearable device such as a smartwatch attached to the patient’s *** contrast,the end module,i.e.,the server in this case,can extract important information with approximately the maximum level of ***,refined data has been processed by adding an appropriate nose through the Laplace mechanism to make it useless or meaningless for the adversary modules in the *** proposed hybrid approach is trusted from both the device’s privacy and the integrity of the transmitted information *** and analytical results ha

关键词： Internet of things information fusion differential privacy dynamic programming Laplace function

MRI of gastric carcinoma:Results of T and N-staging in an in vitro study

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World Journal of Gastroenterology 2009年第32期15卷 3992-3998页

作者： Il Young Kim Sang Won Kim Hyeong Cheol Shin Moon Soo Lee Dong Jun Jeong Chang Jin Kim Young Tong Kim Department of Radiology Soonchunhyang University Cheonan Hospital23-20 BongmyungdongCheonanChoongnam 330-720South Korea Department of Surgery Soonchunhyang University Cheonan Hospital23-20 BongmyungdongCheonanChoongnam 330-720South Korea Department of Pathology Soonchunhyang University Cheonan Hospital23-20 BongmyungdongCheonanChoongnam 330-720South Korea

AIM： To determine the accuracy of 1.5-T magnetic resonance imaging （MRI） in the evaluation of gastric wall invasion and perigastric lymph node metastasis in gastric adenocarcinoma.METHODS： Twenty resected gastric specimens containing 20 tumors were studied with a 1.5-T MR system using a commercial head surface coil. MR scanning was performed with a T1 weighted image （TR/TE = 500/20）, and a T2 weighted image （TR/TE = 2500/90）. MR findings were compared with pathologic findings.RESULTS： A T1-weighted image demonstrated three layers in the normal gastric wall. All of the gastric tumors were well demonstrated by lesions and location. In a MRI findings of gastric wall invasion, there was 1 case of T1, 7 of T2, 11 of T3. Pathologic results of resected specimens included 3 cases of pT1, 4 of pT2, and 12 of pT3. The accuracy of T staging with MRI was 74% （14 of 19）. MRI findings of lymph node metastasis included 6 cases of NO, 13 cases of N1. The accuracy of the N staging with MRI was 47% （9 of 19）.CONCLUSION： MRI has a high diagnostic accuracy in the evaluation of the T staging of gastric cancerin vitro and thus potentially enables preoperative histopathologic staging.

关键词： Gastric cancer Magnetic resonance imaging Neoplasm Staging Stomach Depiction of walllayer

Double-skin façade simulation with computational fluid dynamics:A review of simulation trends,validation methods and research gaps

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Building Simulation 2023年第12期16卷 2307-2331页

作者： Simon Pommerencke Melgaard Ivan Titov Nikolaisson Chen Zhang Hicham Johra Olena Kalyanova Larsen Department of the Built Environment Aalborg UniversityDenmarkThomas Manns Vej 239220 AalborgDenmark

Dynamic simulation of a double-skin façade(DSF)with computational fluid dynamics(CFD)can be challenging due to the lack of validated models and benchmarking ***,there is a lack of consensus in the scientific community on what constitutes a successfully validated DSF *** present review study identifies simulation trends and research gaps for DSFs simulated with ***,this article presents a series of CFD simulations in which key aspects of the DSF modelling are varied:2D or 3D modelling approaches,turbulence viscosity models(TVMs),radiation models,and wall *** simulation results are compared to the empirical data(both temperature and velocity fields)of a benchmark test with laboratory-controlled boundary *** analysis shows that using the k-εRNG model with enhanced wall treatment and surface-to-surface(S2S)radiation model yields the best results for the 2D case of natural convection ***,it is shown that accounting for the velocity field in the validation process is essential to ensure the suitability of a ***,the authors advocate for the use of selected dimensionless numbers to improve the comparability of the different DSF scientific *** would also help to identify relevant experimental datasets for validation and suitable CFD simulation settings for specific DSF cases.

关键词： double-skin facade ventilated cavity computational fluid dynamics empirical validation modelling parameters dimensionless numbers convection

Mechanical Property Prediction of Commercially Pure Titanium Welds with Artificial Neural Network

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Journal of Materials Science & Technology 2005年第3期21卷 403-407页

作者： YanhongWEI K.K.D.H.Bhadeshia T.Sourmail StateKeyLaboratoryofAdvancedWeldingProductionTechnology HarbinInstituteofTechnologyHarbin150001China DepartmentofMaterialsScienceandMetallurgy UniversityofCambridgeCambridgeCB23QZUK

Factors that affect weld mechanical properties of commercially pure titanium have been investigated using artificial neural networks. Input data were obtained from mechanical testing of single-pass, autogenous welds, and neural network models were used to predict the ultimate tensile strength, yield strength, elongation, reduction of area, Vickers hardness and Rockwell B hardness. The results show that both oxygen and nitrogen have the most significant effects on the strength while hydrogen has the least effect over the range investigated. Predictions of the mechanical properties are shown and agree well with those obtained using the 'oxygen equivalent' (OE) equations.

关键词： Commercially pure titanium Artificial neural networks Mechanical properties Weld

Sports Prediction Model through Cloud Computing and Big Data Based on Artificial Intelligence Method

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Journal of Intelligent Learning Systems and Applications 2024年第2期16卷 53-79页

作者： Aws I. Abu Eid Achraf Ben Miled Ahlem Fatnassi Majid A. Nawaz Ashraf F. A. Mahmoud Faroug A. Abdalla Chams Jabnoun Aida Dhibi Firas M. Allan Mohammed Ahmed Elhossiny Salem Belhaj Imen Ben Mohamed Faculty of Computing Studies Arab Open University Amman Jordan Computer Science Department Science College Northern Border University Arar Kingdom of Saudi Arabia Artificial Intelligence and Data Engineering Laboratory LR21ES23 Faculty of Sciences of Bizerte University of Carthage Tunis Tunisia Applied College Northern Border University Arar Kingdom of Saudi Arabia Faculty of Specific Education Mansoura University Mansoura Egypt

This article delves into the intricate relationship between big data, cloud computing, and artificial intelligence, shedding light on their fundamental attributes and interdependence. It explores the seamless amalgamation of AI methodologies within cloud computing and big data analytics, encompassing the development of a cloud computing framework built on the robust foundation of the Hadoop platform, enriched by AI learning algorithms. Additionally, it examines the creation of a predictive model empowered by tailored artificial intelligence techniques. Rigorous simulations are conducted to extract valuable insights, facilitating method evaluation and performance assessment, all within the dynamic Hadoop environment, thereby reaffirming the precision of the proposed approach. The results and analysis section reveals compelling findings derived from comprehensive simulations within the Hadoop environment. These outcomes demonstrate the efficacy of the Sport AI Model (SAIM) framework in enhancing the accuracy of sports-related outcome predictions. Through meticulous mathematical analyses and performance assessments, integrating AI with big data emerges as a powerful tool for optimizing decision-making in sports. The discussion section extends the implications of these results, highlighting the potential for SAIM to revolutionize sports forecasting, strategic planning, and performance optimization for players and coaches. The combination of big data, cloud computing, and AI offers a promising avenue for future advancements in sports analytics. This research underscores the synergy between these technologies and paves the way for innovative approaches to sports-related decision-making and performance enhancement.

关键词： Artificial Intelligence Machine Learning Spark Apache Big Data SAIM

Scaling granular material with polygonal particles in discrete element modeling

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Particuology 2023年第4期75卷 151-164页

作者： Alireza Ahmadi Stefan Larsson Carl Wersall KTH Royal Institute of Technology Division of Soil and Rock MechanicsBrinellvagen 2310044StockholmSweden

Despite advancements in computational resources,the discrete element method(DEM)still requires considerable computational time to solve detailed problems,especially when it comes to the large-scale *** addition to the geometry scale of the problem,the particle shape has a dramatic effect on the computational cost of ***,many studies have been performed with simplified spherical particles or *** scaling is an approach to increase the particle size to reduce the number of particles in the *** several particle scaling methods have been introduced,there are still some disagreements regarding their applicability to certain aspects of *** this study,the effect of particle scalping on the shear behavior of granular material is *** granular particles were scanned and imported as polygonal particles in the direct shear *** effect of particle size distri-bution,particle angularity,and the amount of scalping were *** results show that particle scalping can simulate the correct shear behavior of the model with significant improvement in computational ***,the accuracy of the scalping method depends on the particle angularity and particle size range.

关键词： Particle scaling Direct shear test Discrete element method PFC Polygonal shape Granular material