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IEEE SENSORS

作者： Federico Leva Andrea Corna Paul Werginz Pierpaolo Palestri Günter Zeck Luca Selmi Department of Engineering “Enzo Ferrari” Università degli studi di Modena e Reggio Emilia Modena Italy Institute of Biomedical Electronics Technische Universität Wien Vienna Austria DPIA Polytechnic Department of Engineering and Architecture University of Udine Udine Italy

A three-dimensional finite element method (FEM) simulation of a neuron (retinal ganglion cell) interfaced to a high-density CMOS-based microelectrode array (MEA) is performed and compared to recordings. The adopted multiscale simulation approach accurately reproduces the signals recorded by the patch clamp and the MEA sensors. The simulation leads us to identify bendings of the axon initial segment of a few neurons embedded in tissue, which are reported here for the first time.

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Impact of Traffic Sign Diversity on Autonomous Vehicles A Literature Review

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Periodica polytechnica Transportation engineering 2023年第4期51卷 338-350页

作者： Aldoski, Ziyad N. Koren, Csaba Department of Highway and Bridge Technical College of Engineering Duhok Polytechnic University 61 Zakho Road Mazi Qr Duhok Kurdistan1006 Iraq Department of Transport Infrastructure and Water Resources Engineering Faculty of Architecture Civil Engineering and Transportation Sciences Széchenyi István University Egyetem tér 1 Gyor9026 Hungary

Traffic sign classification is indispensable for road traffic systems, including automated ones. There is a fundamental difference in the visual appearance of traffic signs from one country to another. Each dataset has its design standards and regulations based on shape, color, and information content, making implementing classification and recognition techniques more difficult. This paper aims to assess the influence of traffic sign diversity on autonomous vehicles (AVs) by reviewing several previous studies, comparing, summarizing their results, and focusing on classifying and detecting traffic sign datasets based on color, shape, and deep learning spaces using various methods and applications. Furthermore, it covers the main challenges facing road designers and planners considering changes to road safety infrastructure. It will be argued that compiling and standardizing a comprehensive global database of traffic signs is very difficult because it is costly and complex in application. However, it is still one of the possible solutions for the coming decades. Recommendations for future developments are also presented in this study. © 2023 Budapest University of Technology and Economics. All rights reserved.

关键词： Autonomous vehicles

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Development of a digital factory using automation simulation tools

Development of a digital factory using automation simulation...

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Technologies Applied to Electronics Teaching (TAEE)

作者： André s Garcí a Ló pez Miguel Damas Hermoso Claudia Villalonga Palliser Oresti Bañ os Legrá n Department of Electrical Engineering Automation and Electronic Technology Polytechnic University of Cartagena Cartagena Spain Department of Architecture and Computer Technology University of Granada Granada Spain

ISBN: (数字)9781665421614

ISBN: (纸本)9781665421621

This paper describes an academic project building on various state-of-the-art Industry 4.0 technologies. The project considers as the primary scenario the current problem behind the accumulation of biological waste in the vicinity of hospitals due to the COVID-19. To that end, a fully automated personal protective equipment recycling plant is developed using the Factory I/O simulation tool, TIA Portal, and Ignition. The project is considered to serve well as a reference for other Electrical engineering undergraduates while complementing their training in skills such as design, automation, and supervision of industrial processes.

关键词： Training Personal protective equipment Industries Hospitals Ignition Production facilities Recycling

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Forecasting thermoelectric power generation through utilization of waste heat from building cooling systems based on simulation

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e-Prime - Advances in Electrical engineering, Electronics and Energy 2024年 10卷

作者： Harsito, Catur Muslim, Riyadi Rovianto, Eki Kurniawan, Yudi Mahdhudhu, Fathin Muhammad Mechanical Engineering Department Vocational School of Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Mechanical Computer Industrial Management Engineering Kangwon National University Samcheok 25913 South Korea Mechanical Engineering Balikpapan State Polytechnic Balikpapan 76129 Indonesia Naval Architecture and Marine Engineering Department Universitas Pembangunan Nasional Veteran Jakarta Indonesia

The transformation of sustainable energy use is one of the main challenges facing the world today. Waste heat from industrial processes and conventional power plants is one form of energy waste that is often wasted. In this context, research on thermoelectric energy conversion systems is a very relevant and important topic to research. This research investigates about the potential for utilizing thermoelectric elements with stacked materials that utilize waste heat from building cooling systems. Numerical simulation was chosen to carry out further analysis regarding the potential energy produced and the efficiency of the materials used. Three-dimensional design and ANSYS is used as a three-dimensional simulation analysis tool. The research results show that thermoelectric systems with stacked materials have the potential to produce energy from waste heat. Material (Cu₂Se⁺, BiTe⁺) (Bi₂S₃^-, CuFeS^-) with 10 mm legs has the highest output power of 32.82 mW whereas (PbSe⁺, BiTe⁺) (Bi₂S₃^-, AgInSe^-) with a leg length of 20 mm has the highest efficiency value of 25.97%, and a power value of 6 .92mW. Full system research can produce values that more closely resemble actual conditions. © 2024 The Author(s)

关键词： Composite material Forecasting Thermoelectric Waste heat

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Simulation of Dam-Break Flow Impact on Wet Riverbed based on SPH and Wireless Sensor Networks 2

Simulation of Dam-Break Flow Impact on Wet Riverbed based on...

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2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

作者： Zeng, Qingyun Cheng, Jing Huang, Dan Ling, Silu East China Jiao Tong University School of Civil Engineering and Architecture Jiangxi Nanchang330000 China College of Army Military Transportation Department of Boat Command Jiangsu Zhenjiang212003 China Jiangxi Industry Polytechnic College School of Architectural and Art Jiangxi Nanchang330000 China

ISBN: (纸本)9781665400527

Simulation of dam-break flow impact on wet riverbed based on SPH and wireless sensor networks is implemented in the present study. With the help of Smooth Particle Hydrodynamics (SPH) algorithm, the simulation model is established to study the flow regime of dam-breaking water when impacting on dry beaches and shoal riverbeds. The contrast between simulated results and experimental measured values demonstrated that the model can appropriately capture both experimental dam breach profiles and observed displacements. Furthermore, in order to analyze the influence mechanism during the dam breach evolution, the changes of velocity of failure flow with different wet riverbeds in front of the lock were considered. It was found that the thinner shoal riverbed is, the higher the energy dissipation is at the beginning of the damages with the help of significant vortex effect. But in the long run, bottom friction became the main energy dissipation mechanism during water migration. The proper integration of the wireless sensor networks can assiste to collection the data effectively. © 2022 IEEE.

关键词： Wireless sensor networks

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An interactive DSS to improve decision-making in the (r,Q) policy

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IFAC-PapersOnLine 2019年第13期52卷 1438-1443页

作者： Molinaro, Margherita Romano, Pietro Battistutta, Marco da Re, Giulia Polytechnic Department of Engineering and Architecture University of Udine Udine Italy Polytechnic Department of Engineering and Architecture University of Udine Udine Italy Novalia Udine Italy Polytechnic Department of Engineering and Architecture University of Udine Udine Italy

This paper proposes a Decision Support System (DSS) to consistently improve decision-making in a (r,Q) policy-based inventory system. Although literature offers a wide selection of contributions on (r,Q) policy, a solution that provides a systemic way to set the related inventory parameters seems to be lacking. The purpose of this paper is to develop a DSS based on what-if analyses that aims to identify the most suitable balance between service level and inventory cost. The application of the DSS in a real case study shows the benefits of the proposed solution. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Decision making Decision support systems Inventory control Sensitivity analysis User interfaces Interactive user interfaces Performance evaluation Scenario analysis Sensitivity What if Analysis

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A new method to determine the synergistic effects of area ratio and microstructure on the galvanic corrosion of LAS A508/309 L/308 L SS dissimilar metals weld

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Journal of Materials Science & Technology 2021年第19期78卷 38-50页

作者： Bright O.Okonkwo Hongliang Ming Jianqiu Wang En-Hou Han Ehsan Rahimi Ali Davoodi Saman Hosseinpour CAS Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Materials and Metallurgical Engineering Department Faculty of EngineeringFerdowsi University of MashhadMashhad ***Iran Polytechnic Department of Engineering and Architecture University of Udine33100 UdineItaly John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMA 02138USA Institute of Particle Technology(LFC) Friedrich-Alexander-Universitdt-Erlangen-Numberg(FAU)91058 ErlangenGermany

The synergistic effects of area ratio and microstructure on the galvanic corrosion of A508/309 L/308 L dissimilar metals weld(DMW)are studied by a multi-analytical *** was demonstrated that decreasing the anode/cathode surface area ratio obviously enhances the corrosion rate of A508,both locally and *** analyses of the AFM results enabled quantitative comparison of the corrosion behaviour of the different surface *** was revealed that in the galvanic interaction of the DMW,the grain refined region corrodes most,followed by the partial grain refined region and base metal matrix of the A508,*** electrochemical localization index(LI)estimation method and AFM analysis both confirmed the presence of a mixed(localized and uniform)corrosion phenomenon occurring on the surface of the A508 anode metal in the galvanic interaction of the dissimilar ***,the degree of synergism equation was utilized to describe the synergistic effects of anode/cathode area ratio and the microstructure of the samples on the galvanic corrosion of LAS A508/309 L/308 L SS DMW.

关键词： Low alloy steel Stainless steel SEM AFM Galvanic corrosion Inclusion

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LANE-BASED TRAVEL TIME ESTIMATION FOR MULTIPLE VEHICLE TYPES: A VEHICLE REIDENTIFICATION APPROACH 25

LANE-BASED TRAVEL TIME ESTIMATION FOR MULTIPLE VEHICLE TYPES...

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25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, HKSTS 2021

作者： Zhang, Cheng Ho, H.W. Lam, William H.K. Ma, Wei Wong, S.C. Chow, Andy H.F. Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong Department of Civil Engineering The University of Hong Kong Hong Kong Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong

ISBN: (纸本)9789881581495

Travel time are crucial information for route guidance and traffic management. On urban roads with many lane-changing movements, different types of vehicles will have different traveling speeds and the traffic conditions of different lanes are not the same. However, little attention has been given to estimate travel times for different types of vehicles traveling on different lanes. This paper proposed a lane-based travel time estimation for multiple vehicle types through the matching of low-resolution vehicle images from surveillance cameras. Vehicle size and high-dimensional deep-learning features are extracted from vehicle images for vehicle classification. Lane-based bipartite graph matching technique, which based on matching probabilities estimated from vehicle features, are adopted to reidentify vehicles. Case study is conducted on a congested four-lane urban road in Hong Kong, and the results shows that the proposed model generally give an accurate estimation of travel times for different types of vehicles traveling on different lanes. © 2021 Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility. All Rights Reserved.

关键词： Travel time

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Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach

arXiv

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arXiv 2023年

作者： Chen, Taijie Shen, Zijian Feng, Siyuan Yang, Linchuan Ke, Jintao Department of Civil Engineering The University of Hong Kong Hong Kong Department of Logistics and Maritime Studies The Hong Kong Polytechnic University Hong Kong Department of Urban and Rural Planning School of Architecture and Design Southwest Jiaotong University Chengdu China

As ride-hailing services have experienced significant growth, the majority of research has concentrated on the dispatching mode, where drivers must adhere to the platform’s assigned routes. However, the broadcasting mode, in which drivers can freely choose their preferred orders from those broadcast by the platform, has received less attention. One important but challenging task in such a system is the determination of the optimal matching radius, which usually varies across space, time, and real-time supply/demand characteristics. This study develops a Transformer-Encoder-Based (TEB) model that predicts key system performance metrics for a range of matching radii, which enables the ride-hailing platform to select an optimal matching radius that maximizes overall system performance according to real-time supply and demand information. To simultaneously maximize multiple system performance metrics for matching radius determination, we devise a novel multi-task learning algorithm that enhances convergence speed of each task (corresponding to the optimization of one metric) and delivers more accurate overall predictions. We evaluate our methods in a simulation environment specifically designed for broadcasting-mode-based ride-hailing service. Our findings reveal that dynamically adjusting matching radii based on our proposed predict-then-optimize approach significantly improves system performance, e.g., increasing platform revenue by 7.55% and enhancing order fulfillment rate by 13% compared to benchmark algorithms. © 2023, CC BY.

关键词： Broadcasting

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Review of advanced road materials, structures, equipment, and detection technologies

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Journal of Road engineering 2023年第4期3卷 370-468页

作者： JRE Editorial Office Maria Chiara Cavalli De Chen Qian Chen Yu Chen Augusto Cannone Falchetto Mingjing Fang Hairong Gu Zhenqiang Han Zijian He Jing Hu Yue Huang Wei Jiang Xuan Li Chaochao Liu Pengfei Liu Quantao Liu Guoyang Lu Yuan Ma Lily Poulikakos Jinsong Qian Aimin Sha Liyan Shan Zheng Tong B.Shane Underwood Chao Wang Chaohui Wang Di Wang Haopeng Wang Xuebin Wang Chengwei Xing Xinxin Xu Min Ye Huanan Yu Huayang Yu Zhe Zeng You Zhan Fan Zhang Henglong Zhang Wenfeng Zhu Editorial Office of Journal of Road Engineering Chang’an UniversityXi’an 710064China Department of Civil and Architectural Engineering KTH Royal Institute of TechnologyStockholm 10044Sweden School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China School of Highway Chang’an UniversityXi’an 710064China Department of Civil Engineering Aalto UniversityAalto 00076Finland School of Civil Engineering and Architecture Wuhan University of TechnologyWuhan 430070China National Engineering Research Center of Highway Maintenance Equipment Chang’an UniversityXi’an 710064China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong KongChina School of Transportation Southeast UniversityNanjing 211189China Institute for Transport Studies University of LeedsLeeds LS29JTUK School of Traffic and Transportation Engineering Changsha University of Science&TechnologyChangsha 410114China Institute of Highway Engineering RWTH Aachen UniversityAachen 52074Germany State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China Department of Architecture and Civil Engineering City University of Hong KongHong KongChina Empa Swiss Federal Laboratories for Materials Science and TechnologyDübendorf 8600Switzerland College of Transportation Engineering Tongji UniversityShanghai 200092China School of Transportation Science and Engineering Harbin Institute of TechnologyHarbin 150090China Department of Civil Constructionand Environmental EngineeringNorth Carolina State UniversityRaleighNC 27695USA Department of Road&Urban Railway Engineering Beijing University of TechnologyBeijing 100124China Department of Civil and Environmental Engineering University of LiverpoolLiverpool L693GHUK School of Civil Engineering&Transportation South China University of TechnologyGuangzhou 510640China College of Civil Engineering Hunan UniversityChangsha 410082China

As a vital and integral component of transportation infrastructure,pavement has a direct and tangible impact on socio-economic *** recent years,an influx of groundbreaking and state-of-the-art materials,structures,equipment,and detection technologies related to road engineering have continually and progressively emerged,reshaping the landscape of pavement *** is a pressing and growing need for a timely summarization of the current research status and a clear identification of future research directions in these advanced and evolving ***,Journal of Road engineering has undertaken the significant initiative of introducing a comprehensive review paper with the overarching theme of“advanced road materials,structures,equipment,and detection technologies”.This extensive and insightful review meticulously gathers and synthesizes research findings from 39 distinguished scholars,all of whom are affiliated with 19 renowned universities or research institutions specializing in the diverse and multidimensional field of highway *** covers the current state and anticipates future development directions in the four major and interconnected domains of road engineering:advanced road materials,advanced road structures and performance evaluation,advanced road construction equipment and technology,and advanced road detection and assessment technologies.

关键词： Road engineering Advanced road material Advanced road structure Advanced road equipment Advanced road detection technology

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