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An efficient approach for cement strength prediction

International Journal of computers and Applications 2023年第1期45卷 8-18页

作者： Gaidhane, Vilas H. Kumar, Nand Mittal, Ravi Kant Rajevenceltha, J. Department of Electrical and Electronics Engineering Birla Institute of Technology and Science Dubai Campus Pilani United Arab Emirates Department of Computer Science Birla Institute of Technology and Science Pilani Dubai Campus United Arab Emirates Department of Mechanical Engineering Birla Institute of Technology and Science Pilani India

In this paper, a simple and computationally efficient approach is proposed to predict the cement strength. It is based on the mathematical concept of covariance matrix and polynomial coefficients. The polynomial coefficients are used to represent the features of cement strength data set. The efficiency and feasibility of the proposed approach is demonstrated on the cement strength data set collected from the cement industry for 2 days, 7 days and 28 days samples. Based on the number of dynamic input variables of the cement strength, the different prediction models such as SOM, linear and nonlinear regression and artificial neural network are designed and the various experimentations are carried to evaluate the proposed approach. Experimental results have shown the effectiveness of the proposed approach in the form of RMSE, R-square coefficients and computational time. It is observed that the proposed polynomial coefficient-artificial neural network approach performs better and predict the cement strength efficiently as compared to other existing methods. © 2019 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Forecasting

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Process parametric optimization of spark plasma sintered Ni–Cr–ZrO2 composites using response surface methodology (RSM)

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International Journal of Lightweight Materials and Manufacture 2024年第1期7卷 14-24页

作者： Oketola, Adeola Jamiru, Tamba Ogunbiyi, Olugbenga Rominiyi, Azeez Lawan Smith, Salifu Adedayo, Ojo David Department of Mechanical and Mechatronics Engineering Tshwane University of Technology Pretoria South Africa Department of Mechanical and Industrial Engineering University of Johannesburg Doornfontein Campus Johannesburg2028 South Africa Centre for Nanomechanics and Tribocorrosion School of Mining Metallurgy and Chemical Engineering University of Johannesburg South Africa Department of Computer Science Osun State Polytechnic Osun State Iree Nigeria

Materials properties are highly dependent on the processing parameters and technique used during sintering. The effect of Spark Plasma sintering process parameters (pressure and temperature) on the hardness and relative density of Ni–20Cr–5ZrO2 composite was investigated. Response Surface Methodology (RSM) from the design of experiment (DOE) technique was successfully employed for the experimental design, and statistical analysis was conducted on the obtained experimental results. The microstructural analysis of the sintered composite showed the presence of solid solution phases of Ni and Cr, which were confirmed by the XRD results as (Cr,Ni) alongside unreacted ZrO2 particles at sintering temperatures of 950 °C and 1000 °C. The validity of the model developed with the impact of each variable and their corresponding interaction on the responses was performed using analysis of variance (ANOVA). The relative density and hardness were the two responses considered. The actual values (experiment data) and expected values (simulated data) were subjected to statistical analysis, to develop a predictive model that synchronizes density and hardness as distinct process parameters, with material hardness and relative density serving as the responses of the specified experiment. For the responses, quantitative models were created, and 10 experimental runs were processed to ascertain the desirability of the responses. The SPS processing parameters considered the most desirable were 1000 °C sintering temperature and 50 MPa pressure. The hardness property obtained under this condition is 433.23 HV with a relative density of 98.15%. © 2023 The Authors

关键词： Design of experiments

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Track-Rex:A universal toolbox for tracking recrystallization nucleation and grain growth behaviors in polycrystalline materials

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Journal of Materials science & Technology 2024年第30期197卷 149-159页

作者： Xun Zeng Haoran Yi Zhuoran Zeng Liang Yuan Sangbong Yi Junheng Gao Mark Rainforth Dikai Guan Department of Mechanical Engineering University of SouthamptonSouthamptonSO171BJUK College of Engineering and Computer Science Australian National UniversityACT 2601Australia College of Bioresources Chemical and Materials Engineering Shaanxi University of Science and TechnologyXi’an710021China Institute of Materials and Process Design Helmholtz-Zentrum HereonGeesthacht21502Germany Department of Materials Science and Engineering University of SheffieldSheffieldS13JDUK Institute for Carbon Neutrality University of Science and Technology BeijingNo.30 Xueyuan RoadHaidian DistrictBeijing100083China

Recrystallization annealing is widely used to tailor the microstructure and enhance the performance of cold-deformed metallic ***,the underlying recrystallization mechanisms are debated,even with the use of cutting-edge characterization ***,we develop a Track-Rex toolbox to analyze quasi-in-situ electron backscatter diffraction(EBSD)datasets of two magnesium(Mg)alloys dur-ing static recrystallization via grain *** results show that the recrystallized grains do not always grow;instead,they can shrink or even be *** is attributed to the presence of newly formed recrystallized grains that possess a growth advantage over the old recrystallized *** rare earth containing Mg-2.4Zn-0.2Ce wt.%(ZE20)alloy exhibits a higher nucleation activity in the shear bands compared to the commercial Mg-3Al-1 Zn(AZ31)*** of the nucleation timing and sites,re-crystallized grains in the ZE20 alloy show consistent off-basal orientations,serving as the origin of the rare earth ***,the off-basal texture of these recrystallized grains is further strengthened through preferential growth during subsequent *** the contrary,the recrystallized grains in the AZ31 exhibit scattered basal orientations that grow uniformly,resulting in a weak basal texture.

关键词： Grain correlation Grain tracking Recrystallization Texture Mg alloys

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Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability:A comprehensive systematic review

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Environmental science and Ecotechnology 2024年第3期19卷 29-59页

作者： Simon Elias Bibri John Krogstie Amin Kaboli Alexandre Alahi School of Architecture Civil and Environmental Engineering(ENAC)Civil Engineering Institute(IIC)Visual Intelligence for Transportation(VITA)Swiss Federal Institute of Technology Lausanne(EPFL)LausanneSwitzerland Department of Computer Science Norwegian University of Science and Technology(NTNU)TrondheimNorway School of Engineering Institute of Mechanical EngineeringSwiss Federal Institute of Technology Lausanne(EPFL)LausanneSwitzerland

The recent advancements made in the realms of Artificial Intelligence(AI)and Artificial Intelligence of Things(AIoT)have unveiled transformative prospects and opportunities to enhance and optimize the environmental performance and efficiency of smart *** strides have,in turn,impacted smart eco-cities,catalyzing ongoing improvements and driving solutions to address complex environmental *** aligns with the visionary concept of smarter eco-cities,an emerging paradigm of urbanism characterized by the seamless integration of advanced technologies and environmental ***,there remains a significant gap in thoroughly understanding this new paradigm and the intricate spectrum of its multifaceted underlying *** bridge this gap,this study provides a comprehensive systematic review of the burgeoning landscape of smarter eco-cities and their leadingedge AI and AIoT solutions for environmental *** ensure thoroughness,the study employs a unified evidence synthesis framework integrating aggregative,configurative,and narrative synthesis *** the core of this study lie these subsequent research inquiries:What are the foundational underpinnings of emerging smarter eco-cities,and how do they intricately interrelate,particularly urbanism paradigms,environmental solutions,and data-driven technologies?What are the key drivers and enablers propelling the materialization of smarter eco-cities?What are the primary AI and AIoT solutions that can be harnessed in the development of smarter eco-cities?In what ways do AI and AIoT technologies contribute to fostering environmental sustainability practices,and what potential benefits and opportunities do they offer for smarter eco-cities?What challenges and barriers arise in the implementation of AI and AIoT solutions for the development of smarter eco-cities?The findings significantly deepen and broaden our understanding of both the significant potential of AI and AIoT technologi

关键词： Smarter eco-cities Smart eco-cities Smart cities Artificial intelligence Artificial intelligence of things Machine learning Environmental sustainability Climate change

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A real-time data acquisition method of industrial production line based on OPC technology

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International Journal of Internet Manufacturing and Services 2023年第1期9卷 16-31页

作者： Xu, Airong He, Panpan Meng, Kaiyuan Xue, Jijun Wang, Chao College of Mechanical Engineering Xi’an Shiyou University Xi’an710065 China Software Research Institute College of Computer Science Xi’an Shiyou University Xi’an710065 China

In view of the low timeliness and accuracy of traditional production line data acquisition methods, this study proposed a real-time data acquisition method of industrial production line based on OPC technology. Considering the heterogeneity of industrial production line data sources, a data transmission scheme is generated based on OPC technology and multi-point communication with Modbus protocol after data preprocessing by piecewise linear interpolation method. Then, the improved decision tree algorithm is used to design the data processing mode. Finally, the current state of industrial production line data is judged by comparing the threshold value, and the real-time data collection of industrial production line is completed after the collection interval is determined. Experimental results show that the acquisition accuracy of this method is up to 96.8%, the maximum acquisition time is only 12.5 s, and the highest packet loss rate is only 1.89%, indicating that this method improves the acquisition quality. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Data acquisition

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Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation 8

Structured Bayesian Meta-Learning for Data-Efficient Visual-...

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8th Conference on Robot Learning, CoRL 2024

作者： Yao, Shaoxiong Zhu, Yifan Hauser, Kris Department of Computer Science University of Illinois Urbana-ChampaignIL United States Department of Mechanical Engineering and Materials Science Yale University CT United States

Estimating visual-tactile models of deformable objects is challenging because vision suffers from occlusion, while touch data is sparse and noisy. We propose a novel data-efficient method for dense heterogeneous model estimation by leveraging experience from diverse training objects. The method is based on Bayesian Meta-Learning (BML), which can mitigate overfitting high-capacity visual-tactile models by meta-learning an informed prior and naturally achieves few-shot online estimation via posterior estimation. However, BML requires a shared parametric model across tasks but visual-tactile models for diverse objects have different parameter spaces. To address this issue, we introduce Structured Bayesian Meta-Learning (SBML) that incorporates heterogeneous physics models, enabling learning from training objects with varying appearances and geometries. SBML performs zero-shot vision-only prediction of deformable model parameters and few-shot adaptation after a handful of touches. Experiments show that in two classes of heterogeneous objects, namely plants and shoes, SBML outperforms existing approaches in force and torque prediction accuracy in zero- and few-shot settings. Website: https://***/SBML. © 2024 Proceedings of Machine Learning Research.

关键词： Zero-shot learning

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A Zero-Sequence Current Analysis Approach for Rotating Machinery Fault Diagnosis of Induction Motor Drivetrain Based on Sparse Learning

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IEEE Transactions on Power Electronics 2025年第7期40卷 9800-9810页

作者： Liu, Zhao-Hua Long, Jun-Jie Wei, Hua-Liang Liu, Kan Zhang, Ying-Jie Li, Xiao-Hua Hunan University of Science and Technology School of Information and Electrical Engineering Xiangtan411201 China The University of Sheffield School of Electrical and Electronic Engineering Department of Automatic Control and Systems Engineering SheffieldS1 3JD United Kingdom Hunan University College of Mechanical and Vehicle Engineering Changsha410082 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China

Fault diagnosis of rotating machinery driven by induction motors has received increasing attention. Current diagnostic methods, which can be performed on existing inverters or current transformers of three-phase induction machines, have become a more economical and reliable alternative to vibration diagnostic methods. Existing references mainly focus on the stator current analysis of single-phase, but most single-phase current analysis methods utilize only a fraction of the total information accessible in the three-phase system. Field experience shows that zero-sequence current (ZSC) has more distinctive fault characteristics compared to single-phase current, and therefore it is better to use in mechanical fault detection and diagnostic tasks. This article proposes a novel sparse learning-based method for ZSC analysis for induction rotating motor drive fault diagnosis. First, it elaborates and compares the effectiveness of ZSC in revealing fault characteristics compared with single-phase current by analyzing the fault diagnosis mechanism of ZSC. In addition, the method proposes a correlation entropy-enhanced sparse learning method for the problem of high-frequency noise and interference in the ZSC signals, so as to enhance the learning of the features of the noise-containing signals. The diagnostic efficacy of the proposed method has been verified through experiments on two real datasets. © 1986-2012 IEEE.

关键词： Induction motors

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Efficient practical Byzantine Consensus-based reputation method for IoT based electronic waste tracking and tracing system using blockchain

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Multimedia Tools and Applications 2024年第37期83卷 84639-84672页

作者： Sharma, Lokesh Gupta, Ravi Kant Lamba, Chattar Singh Kumar, Ajay Lathar, Pankaj Department of IT Manipal University Jaipur Rajasthan303007 India Department of Mechanical Engineering Manipal University Jaipur Rajasthan303007 India Department of Computer Science & amp Engineering Manipal University Jaipur Rajasthan303007 India Department of Mechatronics Engineering Manipal University Jaipur Rajasthan303007 India Department of Computer Science and Applications Delhi Skill and Entrepreneurship University Dwarka New Delhi Delhi110077 India

The utilization of smart contracts enables the integration of blockchain technology to provide incentives for the gathering of electronic trash. Traditional blockchain-based Internet of Things (IoT)-E-Waste Tracking systems have challenges such as data privacy issues, significant delays, and low transaction per second (TPS) rates. In order to tackle these difficulties, the proposed approach utilizes a blockchain-based technology called IoT-enabled Efficient Practical Byzantine Consensus-based Reputation (EPBCR). This approach effectively monitors the post-production business processes of electronic devices by using hybrid consensus and reputation optimization algorithms. As a result, it enhances transparency, traceability, and privacy. The system efficiently regulates and oversees electronic gadgets throughout its supply chain by employing smart contracts on an unchangeable distributed ledger. The methodology is supported by analyzing the gas usage of Smart contracts on the Ethereum network. This results in the creation of, efficient, and high-throughput system that assists participants in conducting economic transactions. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Smart contract

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Low Cost Wireless Data Acquisition System for CMOS MEMS Sensor 1

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19th International Conference of Intelligent Unmanned Systems, ICIUS 2023

作者： Athikary, Kunal G. Joseph, Vivek J. Yang, Lung J. Wang, Wei C. Department of Computer Science and Engineering School of Engineering Presidency University Karnataka Bangalore560064 India Department of Mechanical and Electromechanical Engineering Tamkang University Tamsui Taipei251301 Taiwan

ISBN: (数字)9789819765911

ISBN: (纸本)9789819765904

This present study is to focus and evaluate the performance of a complementary metal–oxide–semiconductor (CMOS) micro-electro-mechanical systems (MEMS) piezoresistive sensor with different pressure ranges under vacuum condition using a self-developed low-cost wireless data acquisition system (WDAQ). The pressure sensor was designed and fabricated using UMC 0.18 µm 1P6M standard CMOS process and MEMS technology. The sensing elements of the piezoresistors are polysilicon and they are integrated with CMOS circuits to complete the Wheatstone bridge and sensor system. The testing of pressure sensor was done with a vacuum pressure range of 0–100 kPa. The output signals were extracted using a commercial data acquisition system DAQ970A and compared with the self-developed ESP8266-based WDAQ. The results extracted using both the DAQ and WDAQ showed good linearity response over the pressure range with a sensitivity of 6.878 µV/V/psi, and the average efficiency of WDAQ was found to be 98% compared to the DAQ970A. The proposed WDAQ is a low-cost solution for remote data collection and transmission. The WDAQ system is built using ESP8266 WIFI module, coupled with an Arduino Nano. Java small object notation (JSON) is used to send data from Arduino nano to ESP8266 using the serial communication protocol, allowing for the transfer of data to Google Sheets using application programming interface (API). The system is enclosed in a package, making it suitable for wind turbines, flapping wings and other harsh environments. The WDAQ provides the required operating voltage to the CMOS MEMS sensor which makes it a self-reliant system. The design, implementation, and performance assessment of the WDAQ system are all thoroughly depicted herein. The work also concentrates on swarm networks to send data to servers in areas where there is limited network connectivity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： CMOS integrated circuits

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Extended Reality and Digital Twin in the Oil and Gas Pipeline Industry: A Systematic Review on Applications, Trends, and Future Directions 23

Extended Reality and Digital Twin in the Oil and Gas Pipelin...

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23rd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024

作者： Sarvesh, Muskan Kang, Ryan Nam, Hyeongil Park, Simon Hugo, Ron Maurer, Frank Kim, Kangsoo University of Calgary Department of Electrical and Software Engineering Canada University of Calgary Department of Mechanical and Manufacturing Engineering Canada University of Calgary Department of Computer Science Canada

ISBN: (纸本)9798331516475

Immersive and simulation technologies, such as Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Digital Twins (DTs), have proven effective in enhancing decision-making, streamlining operations, and improving safety through intuitive visualizations. Unsurprisingly, the oil and gas (O&G) pipeline industry is increasingly turning to these technologies to tackle complex construction and resource management challenges. This paper reviews the applications, benefits, and future trends of these technologies, focusing on integration and emerging trends in monitoring, training, maintenance, and testing. It identifies potential gaps, offers guidance for future research, and emphasizes adapting to technological evolution, providing insights to improve system reliability and sustainability in O&G pipeline operations using immersion and simulation methods. © 2024 IEEE.

关键词： Gas pipelines

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