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5th International Conference on Applications of Optics and Photonics, AOP 2022

作者： Da Silva, P.M. Mendes, J.P. Coelho, L.C.C. De Almeida, J.M.M.M. INESC TEC-Institute for Systems and Computer Engineering Technology and Science Faculty of Sciences University of Porto Rua do Campo Alegre Porto4169-007 Portugal Department of Physics and Astronomy Faculty of Sciences University of Porto Rua do Campo Alegre Porto4169-007 Portugal CIQUP - Chemistry Research Unit Chemistry and Biochemistry Department Faculty of Sciences University of Porto Porto4169-007 Portugal Department of Physics School of Sciences and Technology University of Trás-os-Montes e Alto Douro Vila Real5001-801 Portugal

The use of concrete has been widespread in our society in housing and infrastructure, despite the environmental cost associated with its production. Its decay poses a social, economic, and environmental problem. Currently, the carbonation of cement paste is monitored through the measurement of its pH, with several optical fiber sensors (OFS) have been produced for this purpose. In the current work the focus is, also, on the carbonation monitoring of cement paste through an OFS, but not through pH measurements. Single fiber reflectance spectroscopy, previously employed to measure cement paste durability, is used to monitor the discoloration of cement paste caused by carbonation. As the carbonation front reaches the fiber tip embedded in the cement paste, the signal reflected onto the fiber increases. The accelerated carbonation of two limestone cement paste samples in an atmosphere of 100% CO2 was successfully monitored. The applicability of the sensor for operational use with ambient CO2 was confirmed through the measurement of carbonation at 3% CO2. The cross interference from water ingress and egress was also evaluated, and it didn't hinder the measurements of carbonation. Therefore, a novel OFS capable of measuring cement paste carbonation and durability, was achieved. © Published under licence by IOP Publishing Ltd.

关键词： Carbonation

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EFaR 2023: Efficient Face Recognition Competition

arXiv

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arXiv 2023年

作者： Kolf, Jan Niklas Boutros, Fadi Elliesen, Jurek Theuerkauf, Markus Damer, Naser Alansari, Mohamad Hay, Oussama Abdul Alansari, Sara Javed, Sajid Werghi, Naoufel Grm, Klemen Štruc, Vitomir Alonso-Fernandez, Fernando Diaz, Kevin Hernandez Bigun, Josef George, Anjith Ecabert, Christophe Shahreza, Hatef Otroshi Kotwal, Ketan Marcel, Sébastien Medvedev, Iurii Jin, Bo Nunes, Diogo Hassanpour, Ahmad Khatiwada, Pankaj Toor, Aafan Ahmad Yang, Bian Fraunhofer Institute for Computer Graphics Research IGD Germany TU Darmstadt Germany Department of Electrical and Computer Engineering Khalifa University Abu Dhabi United Arab Emirates Laboratory for Machine Intelligence Faculty of Electrical Engineering University of Ljubljana Slovenia Halmstad University Sweden Idiap Research Institute Martigny Switzerland Lausanne Switzerland Lausanne Switzerland Institute of Systems and Robotics University of Coimbra Coimbra Portugal eHealth and Welfare Security Group Department of Information Security and Communication Technology Norwegian University of Science and Technology Norway

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size. The evaluation of submissions is extended to bias, cross-quality, and large-scale recognition benchmarks. Overall, the paper gives an overview of the achieved performance values of the submitted solutions as well as a diverse set of baselines. The submitted solutions use small, efficient network architectures to reduce the computational cost, some solutions apply model quantization. An outlook on possible techniques that are underrepresented in current solutions is given as well. © 2023, CC BY-NC-SA.

关键词： Face recognition

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Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM

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Scientific reports 2025年第1期15卷 18331页

作者： Yunhan Lin Zhijie Zhang Yijian Tan Hao Fu Huasong Min School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430081 China. Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan 430081 China. Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan 430081 China. Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan 430081 China. mhuasong@***.

To address the challenges of sample utilization efficiency and managing temporal dependencies, this paper proposes an efficient path planning method for mobile robot in dynamic environments based on an improved twin delayed deep deterministic policy gradient (TD3) algorithm. The proposed method, named PL-TD3, integrates prioritized experience replay (PER) and long short-term memory (LSTM) neural networks, which enhance both sample efficiency and the ability to handle time-series data. To verify the effectiveness of the proposed method, simulation and practical experiments were designed and conducted. In the simulation experiments, both static and dynamic obstacles were included in the test environment, along with experiments to assess generalization capabilities. The algorithm demonstrated superior performance in terms of both execution time and path efficiency. The practical experiments, based on the assumptions from the simulation tests, further confirmed that PL-TD3 has improved the effectiveness and robustness of path planning for mobile robot in dynamic environments.

关键词： Long short-term memory (LSTM ) Path planning in dynamic environment Prioritized experience replay (PER) Reinforcement learning Twin delayed deep deterministic policy gradient (TD3) algorithm

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Supply Chain Sustainability in Disruption: SC Intelligence, Customer Knowledge Transfer, and the Mediating Role of IS/IT

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IEEE Engineering Management Review 2025年

作者： Ratna, Silvia Saide, Saide Rater, Salya Svyazhanovna, Baizakova Saule Herzavina, Herzavina Faculty of Information Technology Department of Informatics Engineering and Department of Information Systems Banjarmasin Indonesia State Islamic University of Sultan Syarif Kasim Riau Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau Department of Information Systems Faculty of Science and Technology Indonesia PRO Knowledge Indonesia Pekanbaru Indonesia Universitas Pahlawan Tuanku Tambusai Indonesia Lembaga Enreach UIN Suska Riau Indonesia Politeknik Aceh Selatan Department of Informatics Engineering Aceh Indonesia Information Communication Technologies Robotics in Arkalyk Pedagogical Institute Master of Natural Sciences Educational Program for the Informatics Computer Science Kazakhstan Universitas Pahlawan Tuanku Tambusai Department of Informatics Engineering Indonesia National Taiwan University of Science and Technology Taiwan

Knowledge resource and information system/technology (IS/IT) capability have been considered to improve firm performance, however there is still a gap regarding the sustainability of supply chain to face and recover from disruption (e.g., COVID-19). Questionnaire-based surveys was adopted and received feedback from sixty (160) Indonesian companies or about 28.07% of response rate. © 1973-2011 IEEE.

关键词： customer knowledge transfer disruption information system/technology (IS/IT) responding knowledge management resource-based view (RBV) Supply chain (SC) sustainability supply chain knowledge transfer

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DECOMPOSITION OF INDUSTRIAL systems FOR ENERGY EFFICIENCY OPTIMIZATION WITH OPTTOPO

arXiv

引用

arXiv 2022年

作者： Thiele, Gregor Johanni, Theresa Sommer, David Krüger, Jörg Department for Process Automation and Robotics Fraunhofer Institute for Production Systems and Design Technology IPK Germany Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany Weierstrass Institute for Applied Analysis and Stochastics Berlin Germany Institute for Machine Tools and Factory Management Technical University of Berlin Berlin Germany

The operation of industrial facilities is a broad field for optimization. Industrial plants are often a) composed of several components, b) linked using network technology, c) physically interconnected and d) complex regarding the effect of set-points and operating points in every entity. This leads to the possibility of overall optimization but also to a high complexity of the emerging optimization problems. The decomposition of complex systems allows the modeling of individual models which can be structured according to the physical topology. A method for energy performance indicators (EnPI) helps to formulate an optimization problem. The optimization algorithm OptTopo achieves efficient set-points by traversing a graph representation of the overall system. © 2022, CC BY.

关键词： Optimization

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Tuning bimetallic Au@Ag nanorods Localized Surface Plasmon Resonance on side-polished optical fiber sensing configurations at near-infrared wavelengths

Tuning bimetallic Au@Ag nanorods Localized Surface Plasmon R...

引用

Optical Sensors 2023

作者： dos Santos, Paulo S.S. Mendes, João de Almeida, José M.M.M. Pastoriza-Santos, Isabel Coelho, Luís C.C. INESC TEC Institute for Systems and Computer Engineering Technology and Science Rua Dr. Roberto Frias Porto4200-465 Portugal Faculty of Engineering University of Porto Rua Dr. Roberto Frias Porto4200-465 Portugal Department of Physics School of Science and Technology University of Trás-os-Montes e Alto Douro Vila Real5001-801 Portugal CINBIO Universidad de Vigo Campus Universitario Lagoas Marcosende Vigo36310 Spain Vigo36312 Spain FCUP University of Porto Rua do Campo Alegre Porto4169-007 Portugal CIQUP Chemistry Research Unit FCUP Univ. of Porto Porto4169-007 Portugal

ISBN: (数字)9781510662650

ISBN: (纸本)9781510662643

The increasing demand for precise chemical and biological sensing has led to the development of highly efficient plasmonic optical fiber sensors. Therefore, it is essential to optimize and match the operating wavelength region of both the optical fiber configuration and localized surface plasmon resonance of nanoparticles (NPs). This can be achieved by developing NPs that can reach resonance at near-infrared wavelengths, where refractive index sensitivity is enhanced, and silica optical fibers have lower losses. High aspect-ratio bimetallic Au@Ag nanorods and different side-polished fiber structures are tested using numerical simulations. The selected optical fiber configuration was based on a side-polished fiber with a 1 mm polished section. It is compared power losses and power at the NP interface for two configurations: a step-index single-mode fiber (SMF) with core/cladding diameters of 8.2/125 µm and a multimode graded-index fiber (GIF) with 62.5/125 µm at various polishing depths. The results showed that the best performance for both configurations was achieved at similar polishing depths, namely 59.5 and 55.2 µm for the SMF and GIF, respectively. The optical impact of retardation effects due to the proximity with the fiber structure were also observed, which caused a reduction in sensitivity from 1750 nm/RIU to 1500 nm/RIU and a red-shift of around 70 nm. © 2023 SPIE.

关键词： Single mode fibers

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Tools for affective computations in the management of energy facilities, considering the emotional state of operators

Tools for affective computations in the management of energy...

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International Conference on Electrotechnical Complexes and systems (ICOECS)

作者： Nafisa Yusupova Diana Bogdanova Nadejda Komendantova Elena Sirotenko Albert Niyazgulov Faculty of Computer Science and Robotics Ufa State Aviation Technical University Ufa Russia Cooperation and Transformative Governance Group International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria

ISBN: (纸本)9781665407281

The paper discusses the issues of using the tools of affective computations in the management of energy facilities, taking into account the emotional state of operators. The analysis of known approaches in this direction of research is carried out. A diagram of the decision support process and a complex of management mechanisms are proposed, taking into account the use of emotionally colored information. The results of a computational experiment for the problem of classifying emotionally colored information are considered. To assess the emotional state of the operator, the best results can be obtained using a neural convolutional network.

关键词： Support vector machines Decision support systems Machine learning Convolutional neural networks

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EFaR 2023: Efficient Face Recognition Competition

EFaR 2023: Efficient Face Recognition Competition

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IEEE International Joint Conference on Biometrics (IJCB)

作者： Jan Niklas Kolf Fadi Boutros Jurek Elliesen Markus Theuerkauf Naser Damer Mohamad Alansari Oussama Abdul Hay Sara Alansari Sajid Javed Naoufel Werghi Klemen Grm Vitomir Štruc Fernando Alonso-Fernandez Kevin Hernandez Diaz Josef Bigun Anjith George Christophe Ecabert Hatef Otroshi Shahreza Ketan Kotwal Sébastien Marcel Iurii Medvedev Bo Jin Diogo Nunes Ahmad Hassanpour Pankaj Khatiwada Aafan Ahmad Toor Bian Yang Fraunhofer Institute for Computer Graphics Research IGD Germany TU Darmstadt Germany Department of Electrical and Computer Engineering Khalifa University Abu Dhabi United Arab Emirates Laboratory for Machine Intelligence Faculty of Electrical Engineering University of Ljubljana Slovenia Halmstad University Sweden Idiap Research Institute Martigny Switzerland École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Université de Lausanne (UNIL) Lausanne Switzerland Institute of Systems and Robotics University of Coimbra Coimbra Portugal Department of Information Security and Communication Technology eHealth and Welfare Security Group Norwegian University of Science and Technology Norway

关键词：

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science education through project-based learning: A case study

Science education through project-based learning: A case stu...

引用

2022 International Conference on ENTERprise Information systems, CENTERIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information systems and Technologies, HCist 2022

作者： Santos, Carolina Rybska, Eliza Klichowski, Michal Jankowiak, Barbara Jaskulska, Sylwia Domingues, Nuno Carvalho, Diana Rocha, Tânia Paredes, Hugo Martins, Paulo Rocha, João National School of Public Health-NOVA University of Lisbon Avenida Padre Cruz Lisbon1600-560 Portugal Comprehensive Health Research Centre NOVA University of Lisbon Lisbon Portugal Faculty of Biology-Adam Mickiewicz University Uniwersytetu Poznanskiego 6 Poznan61-614 Poland Faculty of Educational Studies-Adam Mickiewicz University Szamarzewskiego 89 Poznan60-568 Poland Instituto Politécnico de Lisboa-Instituto Superior de Engenharia de Lisboa Rua Conselheiro Emidio Navarro 1 Lisbon1959-007 Portugal Institute for Systems and Computer Engineering Technology and Science Rua Dr. Roberto Frias Porto4200-465 Portugal University of Trás-os-Montes e Alto Douro Quinta de Prados Vila Real5001-801 Portugal

Partnerships for science Education (PAFSE) is a case study of project-based learning applied to real-world problems connected with public health and sustainable development. The EU-funded project organizes science education activities at low secondary level engaging students and school stakeholders (universities, research centres, start-ups, enterprises, governmental organisations, NGOs) in health promotion and disease prevention actions that benefit the health and well-being of the community. Projects leaded by schools are addressed within educational scenarios co-created with partners interested in STEM education and developed under a relevant public health issue through their continuous engagement in open schooling approach. © 2022 The Authors. Published by ELSEVIER B.V.

关键词： Project management

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Satellite-based InSAR Geodesy and Collocation with GNSS

Satellite-based InSAR Geodesy and Collocation with GNSS

引用

2023 International Conference on ENTERprise Information systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care Information systems and Technologies, HCist 2023

作者： Papco, Juraj Bakon, Matus Kubica, Lukas Belicova, Gabika Droscak, Branislav Ferianc, Martin Rovnak, Martin Ruiz, Antonio M. Sousa, Joaquim J. Department of Theoretical Geodesy and Geoinformatics Faculty of Civil Engineering Slovak University of Technology in Bratislava Radlinskeho 11 Bratislava813 62 Slovakia Insar.sk Ltd Konstantinova 3 Presov080 01 Slovakia Department of Finance Accounting and Mathematical Methods Faculty of Management and Business University of Presov Konstantinova 16 Presov080 01 Slovakia Department of Engineering School of Sciences and Technology Universidade de Tras-os-Montes e Alto Douro Quinta de Prados Vila Real5000-801 Portugal Geodetic and Cartographic Institute Bratislava Chlumeckeho 4 Bratislava827 45 Slovakia Department of Cartographic Geodetic and Photogrammetry Engineering University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain Research Group RNM-282 Microgeodesia Jaen University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain Institute for Systems and Computer Engineering Technology and Science INESC-TEC Porto4200-465 Portugal

Satellite radar interferometry (InSAR) enables large-scale monitoring of displacement with precision akin to ground-based methods. Using measurements from Sentinel-1 satellites, persistent scatterer networks cover areas up to hundreds of kilometers in size. One of the current challenges for the InSAR community is to tie these networks into a current and country-specific global terrestrial reference system through collocation with other geodetic techniques, especially Global Navigation Satellite systems (GNSS). In this work, an optimal procedure for assessing a suitable collocation properties for InSAR and GNSS techniques is discussed, along with the proposal for the methodology to determine the spatial relationship between the reference points of both techniques. The study analyzes three collocation stations in Slovakia using their radar backscattering characteristics. InSAR achieves an intrinsic accuracy of up to 1 mm but has uncertainties several orders of magnitude larger in 3D space. A collocation of InSAR measurements with GNSS can tie relative InSAR displacement estimates to an absolute reference frame. © 2024 The Author(s). Published by Elsevier B.V.

关键词： Geodesy

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