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3rd International Symposium on Advances in Informatics, Electronics and Education, ISAIEE 2022

作者： Fu, Haijian Hui, Shao Highway Development Center of Donggang District Shandong Rizhao276800 China Architecture and Civil Engineering Department Shandong Water Polytechnic Shandong Rizhao276826 China

ISBN: (纸本)9781665463577

During the high-speed urbanization process, driverless technology has gradually become one of the mainstream development directions of new energy vehicles, while traffic road planning is one of the core points of driverless technology. During transportation path planning, traffic signs play an indispensable role in one of the most important traffic guidelines in the traffic system. In order to improve the existing path, unmanned driving algorithm, the identification process of the traffic signs needs to be further optimized, and the self-made transportation logo data and algorithm experiments must be made to make full use of their homemade traffic signs. Based on the background mentioned above, this article is improved by adapting the ant colony algorithms to identify the traffic logo data set and iterates optimization of each improvement point, which fully improves the accuracy and reliability of the detection of traffic signs. © 2022 IEEE.

关键词： Ant colony optimization

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Research on Traffic Picture Recognition Method Based on Multi-scale Feature Algorithm 2

Research on Traffic Picture Recognition Method Based on Mult...

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2nd International Signal Processing, Communications and engineering Management Conference, ISPCEM 2022

作者： Fu, Haijian Hui, Shao Highway Development Center of Donggang District Shandong Rizhao276800 China Shandong Water Polytechnic Architecture and Civil Engineering Department Shandong Rizhao276826 China

ISBN: (纸本)9781665492713

Since the rapid development of deep learning technology, traffic picture recognition technology has been significantly enhanced. In the process of recognizing complex traffic pictures, errors are likely to occur. Our objective is to improve the efficiency of the algorithm and the characteristics of the neural network, as well as to utilize the characteristics of stereo image analysis to conduct in-depth research on road conditions pictures based on multi-scale feature algorithms. The aim of this paper is to investigate in detail the process of image recognition and reconstruction using the multi-scale feature algorithm. Furthermore, we derive its loss function, which significantly improves its running characteristics. © 2022 IEEE.

关键词： Image recognition

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BUILDING INFORMATION MODELLING-BASED DIGITAL TWIN APPLICATIONS IN CONSTRUCTION SAFETY MANAGEMENT: A REVIEW 40

BUILDING INFORMATION MODELLING-BASED DIGITAL TWIN APPLICATIO...

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40th Annual Conference on Association of Researchers in Construction Management, ARCOM 2024

作者： Meng, Yuchun Antwi-Afari, Maxwell Fordjour Mehmood, Imran Anwer, Shahnawaz Umer, Waleed Department of Civil Engineering College of Engineering and Physical Sciences Aston University BirminghamB4 7ET United Kingdom Department of Building and Real Estate The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Architecture and Built Environment Northumbria University Newcastle upon TyneNE1 8ST United Kingdom

ISBN: (纸本)9780995546387

In the last decade, digital technologies have led to an industrial transformation that has sparked research attention. The architecture, engineering, and construction (AEC) industry has widely used building information modelling (BIM) and digital twin (DT), particularly in the context of construction safety management. This paper aimed to conduct a science mapping review of BIM-based DT applications to identify current hot topics and future research directions in this domain. In total, 85 relevant articles from the Scopus database were screened and analysed using a bibliometric and science mapping approach. The results show that the prominent research keywords in the literature on BIM-based DT focused on BIM, DT, and the Internet of Things (IoT). Moreover, the current hot topics include advanced technologies, asset management, facility management, and operation and maintenance. Furthermore, a framework for future research directions was presented to offer novel and practical insights to researchers and practitioners. Overall, these findings not only provide current hot topics of BIM-based DT applications in construction safety but also contribute to extending the research agenda towards Construction 4.0. © Association of Researchers in Construction Management

关键词： Building Information Model

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Experimental characterization and modelling of cyclic elastoplastic response of an AISI 316L steel lattice structure produced by laser-powder bed fusion

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Procedia Structural Integrity 2023年 47卷 238-246页

作者： Marco Pelegatti Denis Benasciutti Francesco De Bona Enrico Salvati Department Polytechnic of Engineering and Architecture University of Udine via delle Scienze 208 33100 Udine Italy Department of Engineering University of Ferrara via Saragat 1 44122 Ferrara Italy

In the last few years, many studies have been devoted to elucidating the mechanical properties of lattice structures produced by additive manufacturing (AM) techniques. Nevertheless, virtually none of the works dealt with the cyclic elastoplastic response, which is instead the focus of the present study. An AISI 316L steel FBCCZ (face and body-centered cell with vertical struts along the z-axis) lattice structure, produced by the AM technique laser-powder bed fusion (L-PBF), was experimentally tested and modelled using the finite element method. The mechanical behavior of the L-PBF AISI 316L steel was described by a non-linear kinematic (Chaboche's model) and isotropic (Voce's model) hardening model. Numerical results and their comparison with experimental evidence suggested that the study of a single unit cell by exploiting the periodicity condition can be severely impaired by the numerousness of the cells involved. More faithful models, accounting for the sample's edges effects, and including the effective dimension of the fabricated features by AM, lead to a highly satisfactory match, thus confirming the applicability of the proposed approach.

关键词： laser-powder bed fusion AISI 316L steel cyclic plasticity lattice structure FE model

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Fuzzy Analysis Approaches to Intellectual Potential Modeling in Micro Business

Fuzzy Analysis Approaches to Intellectual Potential Modeling...

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作者： Moiseienko, Iryna Dronyuk, Ivanna Klapchuk, Myroslava Prydniprovska State Academy of Civil Engineering and Architecture 24a Chernyshevsky Str. Dnipro4600 Ukraine Artificial Intelligence System Department Lviv Polytechnic National University Bandera Str. 12 Lviv79013 Ukraine Department of Mathematics Lviv Polytechnic National University Bandera Str. 12 Lviv79013 Ukraine

The article presents approaches to entrepreneurship structure intellectual potential. It is suggested to implement microbusiness intellectual potential analysis based on fuzzy studies. To investigate intellectual micro-business potential, it is suggested to use the fuzzy analyses apparatus. Using mentioned business-plan characteristics of entrepreneurs and businesses, one can define by the expert way the tightness of cause-and-effect ties and quantitative measurements (mutual influences). With the help of fuzzy analysis mathematic transformations, we can define the hidden powers of some elements upon the others (determined). Their quantitative dimensions will be risk measures of business plan carrying out. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fuzzy logic

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Mitigation of Electrical/Ionic Interference in Iontronic Neurostimulation/Neurosensing Platforms: A Simulation Study

Mitigation of Electrical/Ionic Interference in Iontronic Neu...

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IEEE SENSORS

作者： Jacopo Nicolini Federico Leva Pierpaolo Palestri Luca Selmi Department of Engineering “Enzo Ferrari” University of Modena and Reggio Emilia Modena Italy Polytechnic Department of Engineering and Architecture University of Udine Italy

In the context of in-vitro neural interfaces for neurostimulation via extracellular calcium modulation, we in-vestigated by finite element numerical simulations the electrical cross-talk between a polymeric ionic actuator for calcium release and a microelectrode for neural recording. Several device designs have been explored to mitigate the cross-talk. A separation wall between the ionic emitter and the sensing electrode has been found to remarkably improve the ratio between the sensed action potentials and the disturb induced by ionic actuation.

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Implementation of non-equal partitioned multi-channel convolver 51

Implementation of non-equal partitioned multi-channel convol...

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51st International Congress and Exposition on Noise Control engineering, Internoise 2022

作者： Battisti, Luca Farina, Angelo Bevilacqua, Antonella Tronchin, Lamberto Department of Electronics Information and Bioengineering Polytechnic of Milan Milan Italy Department of Industrial Engineering University of Parma Area delle Scienze Parma43100 Italy Department of Architecture University of Bologna Cesena Italy

ISBN: (纸本)9781906913427

Convolution has become a largely exploited signal operation due to its several applications in digital signal processing. In the realm of audio elaboration, convolution has been used to impose a spectral and/or a temporal structure onto a signal. This is possible by convolving the sound signal with the Room Impulse Response (RIR). The acoustic footprint of these sound signals can be completely transferred to another sound signal. With a multichannel approach, convolution assumes even wider application fields. One of the outcomes can be considered the Ambisonics recording made by a multichannel convolver. A similar concept can be applied to the mixing phase of audio post-production, where direction-based audio objects are converted to Ambisonics to be reproduced in similar speaker setups. This paper deals with the analysis of an existing algorithm related to a multichannel convolver software and evaluates its efficiency to optimize the results for non-expert users. The results show that the management of the filter matrix outlines weaknesses in the process of assembling new matrices. A proposed solution regards the optimization of such algorithm. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control engineering. All rights reserved.

关键词： Convolution

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An advanced BPNN/RVEA coupled control strategy for novel immersed liquid cooling battery thermal management system

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Journal of Energy Storage 2025年 125卷

作者： Wu, Yongxi Yuen, Anthony Chun Yin Mo, Chongmao Chen, Qian Huang, Xinyan Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong

This study introduces a novel distributed-inlet circulatory immersion liquid cooling (DIC-IC) battery thermal management system (BTMS), optimised using computational fluid dynamics (CFD), backpropagation neural networks (BPNN), and the reference vector-guided evolutionary algorithm (RVEA). The BPNN model accurately predicted maximum temperature Tmax, temperature difference ΔTmax, and input power. Multi-objective optimisation (MOO) achieved a 24 % reduction in Tmax to 30.13 °C and a 70 % reduction in ΔTmax to 3.58 °C with power consumption of only 0.7 m3/s3, significantly reducing energy usage by up to 95 % compared to initial designs. Dynamic cooling strategies, including static, equilibrium, and boost modes, were proposed to address various operational conditions. The boost mode reduced Tmax and ΔTmax by an additional 5.9 % and 4.3 % respectively under 5C discharge, demonstrating superior thermal safety. These findings provide a practical framework for efficient and low-energy BTMSs that enhance the performance of lithium-ion batteries in high-power density and high-temperature applications. © 2025 Elsevier Ltd

关键词： Lithium-ion batteries

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Enhanced heterogeneous activation of peroxymonosulfate by boosting internal electron transfer in a bimetallic Fe_(3)O_(4)-MnO_(2) nanocomposite

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Chinese Chemical Letters 2022年第4期33卷 2129-2133页

作者： Qingqing Shi Shengyan Pu Xi Yang Peng Wang Bo Tang Bo Lai State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu 610059China Department of Civil and Environment Engineering Hong Kong Polytechnic UniversityHong KongChina State Key Laboratory of Hydraulics and Mountain River Engineering College of Architecture and EnvironmentSichuan UniversityChengdu 610065China

Transition metal-based bimetallic oxides can effectively activate peroxymonosulfate(PMS) for the degradation of organic contaminants, which may be attributed to the enhanced electron transfer efficiency between transition metals. Here, we investigated the high-efficiency catalytic activation reaction of PMS on a well-defined bimetallic Fe-Mn nanocomposite(BFMN) catalyst. The surface topography and chemical information of BFMN were simultaneously mapped with nanoscale resolution. Rhodamine B(Rh B, as a model pollutant) was used to evaluate the oxidation activity of PMS activation system. The maximum absorption peak of Rh B obviously blue shifted from 554 nm to 501 nm, and decreased sharply to disappear completely within 60 min. The removal performance is better than most of the reported single transition metal oxide. X-ray photoelectron spectroscopy(XPS) imaging of the BFMN electronic structure after catalytic activation confirmed that the accelerated internal electron transfer is mainly caused by the synergy effect of Mn and Fe sites at the catalysis boundary. The outstanding ability of BFMN for PMS chemical adsorption and activation may attribute to the enhanced covalency and reactivity of Mn-O. These results of this study can advance understandings on the origins of bimetallic oxides activity for PMS activation and developing the efficient metal oxide catalysts in real practice.

关键词： Bimetallic oxides Peroxymonosulfate Sulfate radical Synergism effects Redox species cycle

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Time series analysis of olive orchard coverage in the rural landscape: a case study of the Cartoceto Municipality

Time series analysis of olive orchard coverage in the rural ...

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IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)

作者： Stefano Chiappini Mattia Balestra Andrea Galli Eva Savina Malinverni Arash Khosravi Davide Neri Ernesto Marcheggiani Department of Construction Civil Engineering and Architecture Marche Polytechnic University Ancona Italy Department of Agricultural Food and Environmental Sciences Marche Polytechnic University Ancona Italy

The temporal transformation of the rural landscape of Cartoceto municipality over a period of 42 years has been analyzed in this study by using the QGIS software, Land use maps, aerial photos, photo interpretation, and standardization of land use classes nomenclature and topographic data were utilised. The study area is the municipality of Cartoceto (PU), lacated in the Marche region of Central Italy, and, it is recognized as a Geographical Indication (GI) called Cartoceto DOP, which is famous for producing extra virgin olive oil. The multidisciplinary analysis allowed for the identification of factors that have influenced the temporal evolution of the study area, with particular attention to olive cultivation. These insights contribute to the understanding of land use dynamics and olive landscapes, offering the opportunity to make informed decisions to ensure the sustainability and resilience of rural landscapes.

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