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EJUSTCO:Monte Carlo radiation transport code hybrid with ANN model for gamma-ray shielding simulation

Nuclear Science and Techniques 2023年第9期34卷 155-176页

作者： Joseph Konadu Boahen Ahmed S.G.Khalil Mohsen A.Hassan Samir A.Elsagheer Mohamed Materials Science and Engineering Department School of Innovative Design EngineeringEgypt-Japan University of Science and Technology(E-JUST)179New Borg El-Arab CityEgypt Physics Department Environmental and Smart Technology GroupFaculty of ScienceFayoum UniversityFayoum 63514Egypt Faculty of Engineering Aswan UniversityAswanEgypt

Gamma ray shielding is essential to ensure the safety of personnel and equipment in facilities and environments where radiation *** Monte Carlo technique is vital for analyzing the gamma-ray shielding capabilities of *** this study,a simple Monte Carlo code,EJUSTCO,is developed to cd simulate gamma radiation transport in shielding materials for academic *** code considers the photoelectric effect,Compton(incoherent)scattering,pair production,and photon annihilation as the dominant interaction mechanisms in the gamma radiation shielding *** reduction techniques,such as the Russian roulette,survival weighting,and exponential transformation,are incorporated into the code to improve computational *** the exponential transformation parameter typically requires trial and error as well as ***,a deep learning neural network is proposed as a viable method for predicting this parameter for the first *** model achieves an MSE of 0.00076752 and an R-value of *** exposure buildup factors and radiation dose rates due to the passage of gamma radiation with different source energies and varying thicknesses of lead,water,iron,concrete,and aluminum in single-,double-,and triple-layer material systems are validated by comparing the results with those of MCNP,ESG,ANS-6.4.3,MCBLD,MONTEREY MARK(M),PENELOPE,and *** errors of 5.6%,2.75%,and 10%are achieved for the exposure buildup factor in single-,double-,and triple-layer materials,respectively.A significant parameter that is not considered in similar studies is the gamma ray *** the EJUSTCO code,the total number and energy albedos have been *** results are compared with those of MCNP,FOTELP,and *** general,the EJUSTCO-developed code can be employed to assess the performance of radiation shielding materials because the validation results are consistent with theoretical,experimental,and literary results.

关键词： Monte Carlo Gamma rays Shielding Artificial neural network Simulation

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A hybrid physics-data-driven surface roughness prediction model for ultra-precision machining

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Science China(Technological Sciences) 2023年第5期66卷 1289-1303页

作者： BAI Long YANG QiZhong CHENG Xin DING Yue XU JianFeng State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China Wuhan Digital Design and Manufacturing Innovation Center Co. LtdWuhan430074China

The surface finish quality is critical to the service performance of a machined part,and single-point diamond ultra-precision machining can achieve excellent surface quality for many engineering *** study studied the problem of predicting the surface roughness for titanium alloy workpieces in ultra-precision *** data and surface roughness measurement results were obtained during end-face machining experiments.A deep learning neural network model was built based on the ResNet-50 architecture to predict surface *** propose increasing prediction accuracy by using the energy ratio difference(ERD)as a stability feature that can be extracted using fast iterative variational mode decomposition(FI-VMD).The roughness value obtained with an analytic model was also used as an input feature of the prediction *** prediction accuracy of the proposed approach was depicted to be improved by 8.7%with the two newly introduced roughness *** influence of the tool parameters on the prediction accuracy was investigated,and the proposed hybrid-driven model exhibited higher robustness to errors of the tool parameters than the analytic roughness model.

关键词： surface roughness ultra-precision machining prediction model stability feature

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ASSESSMENT OF UAV COMBAT EFFECTIVENESS BASED ON ADCBU METHODOLOGY 14

ASSESSMENT OF UAV COMBAT EFFECTIVENESS BASED ON ADCBU METHOD...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Sun, Honghua Liang, Zan Guo, Peng Jiang, Guangjun Inner Mongolia University of Technology School of Mechanical Engineering Hohhot China Intelligent Transport Equipment Control and Design Application Technology Team China

ISBN: (纸本)9781837242672

With the rapid advancement of UAV technology, the deployment of UAVs in actual combat has increased, necessitating an urgent need for accurate combat effectiveness assessment. Traditional ADC assessment methods are insufficient for contemporary combat scenarios. This paper introduces an improved ADC assessment model. By constructing a comprehensive UAV combat effectiveness index system, it integrates factors such as personnel training, skill levels, and battlefield environment, supplemented by expert evaluations. The improved ADC model is demonstrated to be more pertinent to real-world combat situations through detailed calculation examples. © The Institution of engineering & technology 2024.

关键词： Unmanned aerial vehicles (UAV)

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RELIABILITY ASSESSMENT OF UNMANNED AIRCRAFT COMBAT EFFECTIVENESS BASED ON IMPROVED ADC ANALYSIS METHOD 14

RELIABILITY ASSESSMENT OF UNMANNED AIRCRAFT COMBAT EFFECTIVE...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Sun, Honghua Guo, Pen Liang, Zan Jiang, Guangjun Inner Mongolia University of Technology School of Mechanical Engineering Huhhot China Intelligent Transport Equipment Control and Design Application Technology Team China

ISBN: (纸本)9781837242672

To evaluate the effectiveness and reliability of ground attack missions of combat UAVs, this paper adopts an improved ADC method, distinct from the traditional ADC approach that relies on a vague and complex capability index C. The innovation in this study involves method enhancement and model reconstruction, resulting in a redefined capability matrix C. To validate the feasibility of the improved model, three typical combat UAVs—MQ-9B, XQ-5, and XQ-58—are selected for assessment. By integrating the combat process and analyzing evaluation indices, the effectiveness evaluation index system and corresponding capability expression formula are established. Employing the hierarchical analysis method, weight coefficients are assigned to each capability indicator, and the effectiveness assessment results of each UAV are synthesized to verify the method's feasibility. The assessment reveals that the X-47B exhibits high operational effectiveness reliability in ground attack missions (0.7194), whereas the MQ-9 (0.6351) and XQ-58 (0.5174) demonstrate areas for improvement in electronic countermeasures and ground attack capabilities. The improved ADC model presented in this paper can be utilized for the effectiveness evaluation and index analysis of various combat UAVs, providing theoretical support for the research, development, and enhancement of UAV equipment. Furthermore, the method of constructing corresponding expressions for each capability index C can be applied to the effectiveness evaluation of other weapons, enabling a more comprehensive parameter of weapon effectiveness to be obtained. © The Institution of engineering & technology 2024.

关键词： Unmanned aerial vehicles (UAV)

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Parametric study on the ballistic performance of seamed woven fabrics

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Defence technology（防务技术） 2023年第6期24卷 173-189页

作者： Hang Li Rui Zhang Shengnan Min Yi Zhou Jiuxiao Sun State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityChina School of Materials Design&Engineering Beijing Institute of Fashion Technology100029BeijingChina

The ballistic perforation response of composite fabrics made by combining plain weaves with seaming technology is reported and compared with conventional unseamed plain *** effect of the seaming technique on the ballistic resistance of aramid plain fabrics is investigated by varying the seaming *** ballistic experiment uses 8 mm diameter spherical projectiles to impact different fabric sample targets with velocities of 230 m/s and 400 m/*** ballistic performance of seamed and unseamed fabrics is characterized by the specific energy absorption(SEA)values of the *** results show that the seamed fabric has a better energy absorption capacity than the unseamed fabric,e.g.,the SEA of sample 5(seaming lines on every four yarns in a single-ply fabric system)is 135%of sample 1(plain weave without thread seaming).In the single-layer system,the effect of the seaming technique on the energy absorption of the fabric in significant when considering seaming density,seaming orientation,seaming distance,and seaming material on the plain fabric;In addition,it is found that in multi-layer systems,seamed panels(e.g.,sample 7)exhibit better ballistic performance than multi-layer fabrics(e.g.,sample 2),and the specific energy absorption of sample 7 is approximately 156%and 200%of sample 6 and sample 2,***,the energy absorption of the fabric decreases with the increase of impact velocity,which is related to the energy absorption mechanism of the soft fabric system at high impact *** yarn pull-out tests shows that the constraint provided by the seaming thread increases the friction between the fabric-forming ***,when the constraint exceeds a certain level,it is detrimental to the energy absorption of the fabric,which may be due to the overconstraint of yarn mobility.

关键词： Fabric Ballistic performance Seaming technology Energy absorption

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RTK-UAV Laser Surveying Applied to Monitoring of Mine Residual Walls 14

RTK-UAV Laser Surveying Applied to Monitoring of Mine Residu...

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14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024

作者： Wu, Jieling Saito, Mitsugu Suwa University of Science Applied Information Engineering Faculty of Engineering Chino Japan Graduate School of Engineering Iwate University Design and Media Technology Morioka Japan

ISBN: (纸本)9798350366556

The challenges of conducting mining operations in open-pit mines, especially while attempting to maintain a stable residual wall, crucially relate to ensuring the safety of miners and preserving the landscape. Currently, many mines monitor the displacement of the pointwise residual wall using APS and GPS with light wave rangefinders, but it is difficult to capture the areal behavior of the residual wall. However, issues persist such as equipment failure and the need for timely monitoring;thus, UAVs, which allow for highly accurate, safe, and efficient surveying, are being used. This study aims to develop a regular monitoring system, using RTK-UAV laser surveying, designed to ensure the safety of the residual wall slope. © 2024 IEEE.

关键词： Laser safety

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Evaluate the design Effect that Optimizing Wind Load of an Offshore Tourism Platform by Using CFD and Wind Tunnel Test

Evaluate the Design Effect that Optimizing Wind Load of an O...

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2023 International Symposium on World Ecological design, ISWED 2023

作者： Yang, Ruquan Wang, Hongbo Chen, Chaohe School of Civil Engineering and Transportation South China University of Technology China Hexiangning College of Art and Design Zhongkai University of Agriculture and Engineering China

ISBN: (纸本)9781643685069

This offshore tourism platform design intends to optimize wind load by designing its superstructure into round shape and adding several transparent floors in the superstructure. CFD and wind tunnel test are used to measure the surface pressure of this platform caused by wind. The estimate data show that the round shape can reduce the drag force of wind. And transparent form in superstructure has little effect in decreasing horizontal wind resistance, but it can reduce the wind load in vertical direction and optimize the moment status. Meanwhile, it can decrease the fluctuation of wind load in different wind directions and raise the platform's stability in turbulence. © 2024 The Authors.

关键词： Floors

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LogGenST: A Framework for Synthetic Log Generation Using LLMs for Smart-Troubleshooting 25th

LogGenST: A Framework for Synthetic Log Generation Using LL...

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Topical Area: Software, System and Service engineering, S3E 2024, Held as Part of FedCSIS 2024, and 25th Conference on Practical Aspects of and Solutions for Software engineering, KKIO 2024, held as part of SEAA 2024

作者： Partovian, Sania Flammini, Francesco Bucaioni, Alessio Thornadtsson, Johan School of Innovation Design and Engineering Mälardalen University Västerås Sweden Sigma Technology Information Stockholm Sweden

ISBN: (纸本)9783031849121

Log files are essential for monitoring, diagnosing, and troubleshooting smart systems, capturing critical operational events. However, privacy concerns and limited access to real-world log datasets hinder the development and evaluation of anomaly detection techniques. Synthetic log generation has emerged as a viable solution to this challenge, enabling researchers to create diverse datasets that include both normal and fault-related logs. In this paper, we introduce novel methodologies for generating synthetic log files using Generative Adversarial Networks and Large Language Models. First, we propose a GAN-based approach, leveraging different GAN implementations to produce high-quality synthetic logs. A comprehensive evaluation reveals that CTGAN outperforms other models in generating realistic and varied log entries. Building on these findings, we present LogGenST, an innovative synthetic log generation framework that employs three LLMs in an adversarial setup. Unlike traditional GAN-based methods, LogGenST features a unique Prompt Engineer LLM that refines prompts based on feedback from generator and discriminator LLMs. This approach ensures temporal consistency, logical coherence, and domain-specific patterns without requiring extensive model training. Comparative analysis shows that LogGenST significantly enhances log authenticity, pattern consistency, and fault representation, supporting advanced smart-troubleshooting experimentation in industrial cyber-physical systems and the Internet of Things. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative Adversarial Network Industry 4.0 Large Language Models Log Files Smart-Troubleshooting Synthetic Data

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A Microcontroller Operating Strategy for (Micro-)Pitting and Temperature Increase Detection in Sensor-Integrating Gears Evaluated with Pre-recorded Sensor Data

A Microcontroller Operating Strategy for (Micro-)Pitting and...

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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Rupprecht, B. Vogel-Heuser, B. Hujo, D. Vicaria, A. Knoll, E. Stahl, K. Ochs, M. Brederlow, R. Institute of Automation and Information Systems TUM School of Engineering and Design Technical University of Munich Germany Institute of Machine Elements TUM School of Engineering and Design Technical University of Munich Germany TUM School of Computation Information and Technology Technical University of Munich Germany

ISBN: (纸本)9798350386097

Condition-based gear health monitoring is crucial to prevent unexpected machine downtimes. However, the lack of small-scale and cost-effective sensors that can be easily integrated on a system level hinders the implementation of condition-monitoring approaches. Damage to gears often occurs due to tooth contact, making it essential to acquire accurate data close to the gear engagement for reliable damage detection. Integrating sensors directly into gears is a promising solution for a space-neutral sensor system, but continuous data acquisition is limited by the energy and memory constraints of Microcontrollers (MCUs). This paper proposes and evaluates an operating strategy for detecting gear damage and temperature increases, featuring automated gear state detection to reduce energy consumption. Testing on a Cortex-M0+ MCU demonstrates its suitability for low-power devices. The strategy was tested using down-sampled pre-recorded acceleration data measured by external, high-performance sensors. An optimal MCU clock frequency is determined by evaluating its impact on energy consumption and execution time. The strategy’s energy consumption and execution time for different states are presented, highlighting opportunities for future optimization. © 2024 IEEE.

关键词： Microcontrollers

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Modeling Methods of 3D Model in Digital Twins

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Computer Modeling in engineering & Sciences 2023年第8期136卷 985-1022页

作者： Ruijun Liu Haisheng Li Zhihan Lv School of Computer Science and Engineering Beijing Technology and Business UniversityBeijing100080China Department of Game Design Faculty of ArtUppsala UniversityUppsalaS-75105Sweden

To understand the current application and development of 3D modeling in Digital Twins(DTs),abundant literatures on DTs and 3D modeling are investigated by means of literature *** transition process from 3D modeling to DTs modeling is analyzed,as well as the current application of DTs modeling in various *** application of 3D DTs modeling in the􀀀elds of smartmanufacturing,smart ecology,smart transportation,and smart buildings in smart cities is analyzed in detail,and the current limitations are *** is found that the 3D modeling technology in DTs has broad prospects for development and has a huge impact on all walks of life and even human *** the same time,the development of DTs modeling relies on the development and support capabilities of mature technologies such as Big Data,Internet of Things,Cloud Computing,Articial Intelligence,and game ***,although some results have been achieved,there are still *** work aims to provide a good theoretical support for the further development of 3D DTs modeling.

关键词： Digital twins 3D modeling smart manufacturing smart city smart buildings

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