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4th international Computational Imaging conference, CITA 2024

作者： Ma, Weichao Wang, Ruixuan Liu, Jianwei Li, Wangzhe National Key Lab of Microwave Imaging Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Guangdong Provincial Key Laboratory of Terahertz Quantum Electromagnetics GBA Branch of Aerospace Information Research Institute Chinese Academy of Sciences Guangzhou510700 China School of Electronics Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781510688834

An optical filter with high rectangular coefficient is demonstrated on silicon platform and applied in microwave photonics radar for fine spectrum processing. Power related absorption and refractive index in silicon is characterized, and the corresponding influence on filter amplitude-frequency response is analyzed. An iterative design method is proposed to determine the structural parameters of the integrated filter, taking these nonlinear effects into consideration. An integrated fourth-order Butterworth coupled resonator optical waveguide filter is fabricated, featured with narrow and flat passband and high roll-off rate. Spectrum response is configurable by fine tuning the phase values in each stage of the filter. the passband can be set as narrow type with 2GHz bandwidth or flat type with bandwidth of 6GHz and fluctuation within 0.7dB. the free spectrum range is larger than 350GHz, large enough to avoid unintentional spectrum crosstalk from adjacent periodic passband. It also has a steep transitional band, and the highest roll-off rate reaches 10 dB/GHz. In addition, the suppression ratio is around 60 dB. the filter is integrated within a receiver chip of microwave photonic radar. Fine spectrum processing, including phase-modulation to amplitude modulation conversion and harmonic suppression, is demonstrated. © 2025 SPIE.

关键词： Refractive index

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Performance Investigation of a Water-Based Photovoltaic Collector System: Velocity and PV Temperature Impact 4th

Performance Investigation of a Water-Based Photovoltaic Coll...

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4th international conference on Electronic Engineering and Renewable Energy Systems, ICEERE 2024

作者： El Manssouri, Oussama Abdulmajeed, Omayma M. Hajji, Bekkay Silva, João Hajji, Mohamed Teixeira, José Teixeira, Senhorinha Renewable Energy Embedded System and Data Processing Laboratory National School of Applied Sciences Mohamed First University BP. 669 Oujda60000 Morocco Department of Electromechanical Engineering University of Technology-Iraq Baghdad10066 Iraq University of Minho Guimarães Portugal

ISBN: (纸本)9789819799749

Photovoltaic-thermal (PV-T) systems are used to optimize the performance of PV modules in addition to the utilization of the heating fluids for various usages. In the present work, a PV-T system is designed with a serpentine-shaped tube to cool the PV module with water. 3D steady-state analysis was developed, and numerical simulation was performed using ANSYS-Fluent 2020-R2 software. the impact of passing water with different velocities under the PV module is studied. Moreover, the collected results showed that 0.5–0.4 m/s are the optimal values that achieve performance improvement. Finally, the effect of the length of the collector on the electrical efficiency as a design parameter was investigated in this paper. Other parameters can be studied as future contributions. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Solar energy

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Multilayer Perception Network Optimization for the Prediction of Totally Implanted Venous Access Port Systems Infections 4th

Multilayer Perception Network Optimization for the Predictio...

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4th international conference on Electronic Engineering and Renewable Energy Systems, ICEERE 2024

作者： El Oualy, Hanane Hajji, Bekkay Omari, Mouhsine Mokhtari, Khadija Madani, Hamid Laboratory of Energy Embedded System and Information Processing National School of Applied Sciences Mohammed First University BP665 Oujda60000 Morocco Laboratory of Medical Oncology Faculty of Medicine and Pharmacy Mohammed First University BP665 Oujda60000 Morocco

ISBN: (纸本)9789819606436

this paper investigates the use of multilayer neural networks (MLPs) to anticipate infections associated with totally implanted venous access systems (TIVAPS). Although these devices have revolutionized the treatment of patients requiring long-term injectable therapy, they also present a serious risk of infection. the study highlights the crucial importance of optimizing hyperparameters to improve the performance of the MLP model in predicting infections associated with totally implanted venous access port systems (TIVAPS). More specifically, the GridSearchCV classifier stands out for its balance between precision and recall, opening up promising prospects for the clinical management of TIVAPS complications. In addition, the use of the BaggingClassifier to optimize the model was explored, but its results were slightly inferior in terms of recall and F1 score compared with GridSearchCV. these results highlight the importance of further research to develop more effective prediction models, specifically adapted to the challenges of real clinical environments. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Multilayer neural networks

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parallel processing and applied mathematics: 11th international conference, PPAM 2015 Krakow, Poland, september 6-9, 2015 revised selected papers, part I

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016年 9573卷

作者： Wyrzykowski, Roman Deelman, Ewa Dongarra, Jack Karczewski, Konrad Kitowski, Jacek Wiatr, Kazimierz Czestochowa University of Technology Czestochowa Poland Department of Computer Science University of Southern California Marina Del ReyCA United States Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN United States Institute of Computer and Information Science Czestochowa University of Technology Czestochowa Poland Department of Computer Science AGH University of Science and Technology Krakow Poland AGH University of Science and Technology Krakow Poland

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Predictive Modeling of Photovoltaic thermal Systems: A Random Forest Regressor Approach for Enhanced Energy Output 4th

Predictive Modeling of Photovoltaic Thermal Systems: A Rando...

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4th international conference on Electronic Engineering and Renewable Energy Systems, ICEERE 2024

作者： Margoum, Safae Hajji, Bekkay Aneli, Stefano Gagliano, Antonio Mannino, Giovanni Tina, Giuseppe M. Laboratory of Energy Embedded Systems and Information Processing National School of Applied Sciences Mohammed First University Oujda60000 Morocco University of Catania Viale Andrea Doria 6 Catania95125 Italy

ISBN: (纸本)9789819606436

this study investigates the Photovoltaic thermal (PV/T) system’s efficiency in simultaneous electrical and thermal energy production, utilizing nanofluid coolants to cool temperature-sensitive PV cells. Filling a gap in existing models, a machine learning approach is examined to predict electrical and thermal power outputs specifically for a water-based PV/T system. Leveraging an extensive dataset of 15,540 water-based PV/T samples for training and testing, key thermophysical properties, time, and weather variables are considered as input features. the Random Forest Regressor model attains notable R2 values, reaching 0.9931 for electrical and 0.9852 for thermal predictions. Transitioning to nanofluid properties introduces a dynamic element, showcasing theoretical creativity and estimating electrical and thermal power outputs for Ag/water nanofluid-based PV/T systems. this study contributes to the advancement of predictive modeling in PV/T systems, demonstrating the model's accuracy and adaptability in the context of nanofluid-based energy production. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Photovoltaics

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Assessment of Linear and Nonlinear Control Techniques for Variable Speed Wind Turbine Systems 4th

Assessment of Linear and Nonlinear Control Techniques for...

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4th international conference on Electronic Engineering and Renewable Energy Systems, ICEERE 2024

作者： Elgharib, Ahmed Omar Benzaouia, Soufyane Rabhi, Abdelhamid Moussa, Mona Fouad Benzaouia, Mohammed Naamane, Aziz Giza Egypt Capgemini Engineering Direction Research and Innovation Blagnac31700 France University of Picardie Jules Verne 3 rue Saint Leu Laboratory of Modelization Information and Systems Amiens Cedex 180039 France National School of Applied Sciences Mohamed First University Renewable Energy Embedded System and Data Processing Laboratory Oujda Morocco

ISBN: (纸本)9789819606436

A wind turbine system with effective control can improve the controller and increase the amount of energy produced. As this work begins with a readjustment of some available control approaches, most analysis and research has taken place on the classical PI controller. Furthermore, the dynamic aspects of wind and aero-turbine are not taken into consideration, so their enhancement and performance are powerless. Advanced controllers are presented here in such a paper for enhancement;beyond that, the goal is to use wind turbine dynamics as a quantification tool. this paper presents the improved NSSFC and NDSFC controllers. the control target for the evaluated wind speed is to attain the optimum wind harvested energy while reducing mechanical loads. the MATLAB/SIMULINK environment was used to test and evaluate these techniques. the results also show the difference in control between the TSR and P&O methods, which will be the first step to open the space for working on the nonlinear techniques and the PI controller. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wind turbines

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Frequency Splitting-Based High Order Sliding Mode Control Strategy for Electric Vehicle 4th

Frequency Splitting-Based High Order Sliding Mode Control St...

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4th international conference on Electronic Engineering and Renewable Energy Systems, ICEERE 2024

作者： Benzaouia, Mohammed Essoufi, Mohammed Hajji, Bekkay Rabhi, Abdelhamid Embedded System and Data Processing Laboratory Renewable Energy National School of Applied Sciences Mohamed First University Oujda Morocco Laboratory of Modelization Information and Systems University of Picardie Jules Verne 3 Rue Saint Leu Amiens Cedex 180039 France

ISBN: (纸本)9789819606436

Hydrogen-powered electric vehicles (EVs) represent a significant advancement in clean transportation, utilizing innovative energy production and storage solutions. this paper proposes a robust control strategy for such systems, employing a combination of frequency splitting and the super-twisting algorithm (STA). the investigated system comprises a fuel cell (FC) integrated with a hybrid energy storage system (HESS) that utilizes both batteries and supercapacitors (SC). the DC-DC boost converter optimizes FC power output, while bidirectional DC-DC converters facilitate seamless power flow within the HESS for charging and discharging. this control strategy aims to overcome limitations inherent to classical PID control methods. Numerical simulations conducted in Matlab/Simulink validate the proposed approach's efficacy in mitigating chattering and over and undershoot phenomena under dynamic load conditions. the results conclusively demonstrate the effectiveness of the control strategy in enhancing overall system performance, enabling well-regulated power exchange, and achieving improved efficiency, reduced power losses, and enhanced system stability. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Hydrogen storage

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Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation 4th

Translating Clinical Delineation of Diabetic Foot Ulcers in...

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4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

作者： Kendrick, Connah Cassidy, Bill Pappachan, Joseph M. O’Shea, Claire Fernandez, Cornelious J. Chacko, Elias Jacob, Koshy Reeves, Neil D. Yap, Moi Hoon Department of Computing and Mathematics Manchester Metropolitan University ManchesterM1 5GD United Kingdom Lancashire Teaching Hospitals NHS Foundation Trust PrestonPR2 9HT United Kingdom Waikato District Health Board Hamilton3240 New Zealand United Lincolnshire Hospitals NHS Trust LincolnshireLN2 5QY United Kingdom Jersey General Hospital JerseyJE1 3QS United Kingdom Eastbourne District General Hospital East Sussex EastbourneBN21 2UD United Kingdom Lancaster University LancasterLA1 4YW United Kingdom

ISBN: (纸本)9783031808708

Diabetic foot ulcer (DFU) is a severe condition that requires close monitoring and management. Experienced clinical staff are best-positioned to provide ground truth annotations to train machine learning methods to auto-delineate the ulcer. In this paper, we revisit the largest DFU dataset for segmentation that was used in the Diabetic Foot Ulcer Grand Challenge 2022 (DFUC 2022) and provide further analysis. the DFUC 2022 segmentation dataset provides clinical expert delineation of ulcer regions. We assess whether the clinical delineations are easily machine interpretable by deep learning networks or if image-processing refined contours should be used. this paper demonstrates that image processing using refined delineations as ground truth can provide better agreement with machine-predicted results. With the in-depth understanding and observation of baseline models, we provide insights to guide future development in DFU segmentation. this dataset continues to serve as the challenge dataset for DFUC 2024, and it is available at: https://***/. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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Efficient Energy Management in DC Microgrids Using Fuzzy Logic Approach 4th

Efficient Energy Management in DC Microgrids Using Fuzzy Log...

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4th international conference on Electronic Engineering and Renewable Energy Systems, ICEERE 2024

作者： Rahmouni, Ayoub Yousfi, Driss Bachiri, Mohammed Bakhouya, Mohamed Rochd, Abdelilah Laboratory of Energy Embedded System and Information Processing National School of Applied Sciences Université Mohammed Premier Oujda Oujda Morocco LERMA Lab College of Engineering and Architecture International University of Rabat El Jadida11100 Morocco Benguerir Morocco

ISBN: (纸本)9789819606436

Recent advancements in energy technology have led to increased interest in DC microgrids as viable solutions for efficient energy management, particularly in scenarios involving renewable energy integration and distributed generation. However, the dynamic nature of renewable energy sources and the complexity of microgrid operation present significant challenges in achieving optimal performance and resource utilization. In this context, this paper investigates the application of fuzzy logic control as a promising approach to enhance energy management within DC microgrids. Fuzzy logic control offers advantages such as adaptability to nonlinear and uncertain systems, making it well-suited for addressing the variability and intermittency inherent in renewable energy sources. Furthermore, to ensure the effective design and operation of DC microgrids, theoretical methods are employed for system sizing. these methods take into account factors such as load profiles, renewable energy availability, and storage system characteristics to determine the optimal configuration and capacity of components within the microgrid. By integrating fuzzy logic control with theoretical sizing techniques, this study aims to overcome key operational challenges and contribute to the advancement of sustainable energy solutions. through comprehensive analysis and simulation in MATLAB/Simulink, the proposed approach seeks to provide insights into the performance and effectiveness of fuzzy logic-based energy management systems in DC microgrid environments. this research makes a significant contribution by demonstrating the viability of a DC microgrid and developing an energy management system that will be implemented in a future scaled-down laboratory prototype. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Microgrids

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Private Computation of Boolean Functions Using Single Qubits 15th

Private Computation of Boolean Functions Using Single Qubit...

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15th international conference on parallel processing and applied mathematics, PPAM 2024

作者： Rahmani, Zeinab Pinto, Armando N. Barbosa, Luis S. Department of Electronics Telecommunications and Informatics University of Aveiro Aveiro Portugal Instituto de Telecomunicações Aveiro Portugal International Iberian Nanotechnology Laboratory Braga Portugal Department of Computer Science University of Minho Braga Portugal Institute of Systems and Computer Engineering Technology and Science Braga Portugal

ISBN: (纸本)9783031856990

Secure Multiparty Computation (SMC) facilitates secure collaboration among multiple parties while safeguarding the privacy of their confidential data. this paper introduces a two-party quantum SMC protocol designed for evaluating binary Boolean functions using single qubits. Complexity analyses demonstrate a reduction of 66.7% in required quantum resources, achieved by utilizing single qubits instead of multi-particle entangled states. However, the quantum communication cost has increased by 40% due to the amplified exchange of qubits among participants. Furthermore, we bolster security by performing additional quantum operations along the y-axis of the Bloch sphere, effectively hiding the output from potential adversaries. We design the corresponding quantum circuit and implement the proposed protocol on the IBM Qiskit platform, yielding reliable outcomes. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Qubits

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