检索结果-内蒙古大学图书馆

Optics for terawatt-scale photovoltaics: review and perspectives

Advances in Optics and Photonics 2025年第1期17卷 185-294页

作者： Jäger, Klaus Aeberhard, Urs Llado, Esther Alarcon Bläsi, Benedikt Burger, Sven Ehrler, Bruno Favre, Wilfried Fejfar, Antonín Gageot, Tristan Gordon, Ivan Helmers, Henning Höhn, Oliver Isabella, Olindo Jošt, Marko Ledinský, Martin Mandal, Jyotirmoy Manley, Phillip Muñoz, Delfina Omair, Zunaid Lizcano, Juan Camilo Ortiz Paetzold, Ulrich W. Raman, Aaswath P. Sai, Hitoshi Saive, Rebecca Schmid, Martina Yablonovitch, Eli Becker, Christiane Department Optics for Solar Energy Helmholtz-Zentrum Berlin für Materialien und Energie Kekuléstraße 5 Berlin12489 Germany Computational Nano Optics Zuse Institute Berlin Takustraße 7 Berlin14195 Germany Fluxim AG Katharina-Sulzer-Platz 2 Winterthur8400 Switzerland LMPV-Sustainable Energy Materials Department AMOLF Science Park 104 Amsterdam1098 XG Netherlands Fraunhofer Institute for Solar Energy Systems ISE Heidenhofstraße 2 Freiburg79100 Germany JCMwave GmbH Bolivarallee 22 Berlin14050 Germany Université Grenoble Alpes CEA LITEN Campus INES 50 avenue du Lac Léman Le Bourget-du-Lac73375 France FZU - Institute of Physics The Czech Academy of Sciences Na Slovance 1999/2 Prague 8182 00 Czech Republic IMEC/Energyville Thor Park 8320 Genk3600 Belgium Hasselt University Martelarenlaan 42 Hasselt3500 Belgium Photovoltaic Materials and Devices Laboratory Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands University of Freiburg Emmy-Noether-Str.2 Freiburg79110 Germany Faculty of Electrical Engineering University of Ljubljana Tržaška 25 Ljubljana1000 Slovenia Department of Civil and Environmental Engineering Princeton University E209A Engineering Quadrangle PrincetonNJ08544 United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Institute of Microstructure Technology Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Light Technology Institute Karlsruhe Institute of Technology Karlsruhe76131 Germany Department of Materials Science and Engineering University of California Los AngelesCA90095 United States Ibaraki Tsukuba305-8568 Japan MESA+ Institute for Nanotechnology Inorganic Materials Science University of Twente NB Enschede7522 Netherlands University of Duisburg-Essen Forsthausweg 2 Duisburg47057 Germany Faculty 1 School of Engineering – Energy and Information Hochschule für Technik und Wirtschaft Berlin

In this section, we described the various device architectures in production for crystalline-silicon PV as well as the various absorber materials being used and developed for thin-film PV. We also explained why multijunction PV technology is considered the future of PV technology. We identified four major technological challenges (Fig. 1) for future mass production and deployment of PV technology in order to achieve the goal of climate neutrality and indicated how optics could help resolve these challenges. The four main challenges (Fig. 1) are: • Sustainable production of PV systems;• Higher energy conversion efficiencies;• Higher energy output and operational lifetime;• Integration of PV systems in their environment. © 2025 Optica Publishing Group (formerly OSA). All rights reserved.

关键词： Energy conversion efficiency

来源：评论

学校读者我要写书评

暂无评论

Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation

Frequency-Domain Refinement of Vision Transformers for Robus...

引用

IEEE Workshop on Applications of Computer Vision (WACV)

作者： Sanaz Karimijarbigloo Sina Ghorbani Kolahi Reza Azad Ulas Bagci Dorit Merhof Faculty of Informatics and Data Science University of Regensburg Regensburg Germany Department of Industrial and Systems Engineering Tarbiat Modares University Tehran Iran Department of Radiology Northwestern University Chicago USA Fraunhofer Institute for Digital Medicine MEVIS Bremen Germany

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Medical image segmentation is crucial for precise diagnosis, treatment planning, and disease monitoring in clinical settings. While convolutional neural networks (CNNs) have achieved remarkable success, they struggle with modeling long-range dependencies. Vision Transformers (ViTs) address this limitation by leveraging self-attention mechanisms to capture global contextual information. However, ViTs often fall short in local feature description, which is crucial for precise segmentation. To address this issue, we reformulate self-attention in the frequency domain to enhance both local and global feature representation. Our approach, the Enhanced Wave Vision Transformer (EW-ViT), incorporates wavelet decomposition within the self-attention block to adaptively refine feature representation in low and high-frequency components. We also introduce the Prompt-Guided High-Frequency Refiner (PGHFR) module to handle image degradation, which mainly affects high-frequency components. This module uses implicit prompts to encode degradation-specific information and adjust high-frequency representations accordingly. Additionally, we apply a contrastive learning strategy to maintain feature consistency and ensure robustness against noise, leading to state-of-the-art (SOTA) performance in medical image segmentation, especially under various conditions of degradation. Source code is available at GitHub.

关键词： Degradation Wavelet transforms Image segmentation Computer vision Frequency-domain analysis Noise Contrastive learning Transformers Noise measurement Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

Pump Tuning of a Microresonator Mid-Infrared $\chi^{(2)}$ OPO and Microcomb Generation at $3.1\ \mu \mathrm{m}$ with CdSiP2

Pump Tuning of a Microresonator Mid-Infrared $\chi^{(2)}$ OP...

引用

Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Nicolas Amiune Kevin Zawilski Peter Schunemann Arne Kordts Ronald Holzwarth Karsten Buse Ingo Breunig Department of Microsystems Engineering - IMTEK Laboratory for Optical Systems University of Freiburg Freiburg Germany BAE Systems Inc. Nashua New Hampshire USA Menlo Systems GmbH Martinsried Germany Fraunhofer Institute for Physical Measurement Techniques IPM Freiburg Germany

Over the past decade, there has been a lot of progress in the development of compact single-frequency light sources and frequency combs based on microresonators and nonlinear optics. However, the mid-infrared (MIR) wavelength range still remains challenging to access with these devices while keeping a small footprint [1]. Some approaches rely on bulk MIR laser sources to pump microcombs, while others rely on converting near-infrared frequency comb sources to the MIR. In a different manner, quantum cascade lasers are a promising candidate as compact sources in the MIR but are limited to specific wavelengths and require high electrical powers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs

引用

IFAC-PapersOnLine 2023年第2期56卷 4620-4626页

作者： Marcel Reith-Braun Albert Bauer Maximilian Staab Florian Pfaff Georg Maier Robin Gruna Thomas Längle Jürgen Beyerer Harald Kruggel-Emden Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems Laboratory Karlsruhe Institute of Technology 76131 Karlsruhe Germany Chair of Mechanical Process Engineering and Solids Processing Technische Universität Berlin 10587 Berlin Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation 76131 Karlsruhe Germany

Optical sorters separate particles of different classes by first detecting them while they are transported, e.g., on a conveyor belt, and subsequently bursting out particles of undesired classes using compressed air nozzles. Currently, the most promising results are achieved by predictive tracking, a multitarget tracking approach based on extracted midpoints from area-scan camera images that analyzes the particles’ motion and activates the nozzles accordingly. However, predictive tracking requires expert knowledge for setup and preceding object detection. Moreover, particle shapes are only considered implicitly, and the need to solve an association problem rises the computational complexity of the algorithm. In this paper, we present GridSort, an image-based approach that forecasts the scene at the nozzle array using a convolutional long short-term memory neural network and subsequently extracts nozzle activations, thus circumventing the aforementioned weaknesses. We show how GridSort can be trained in an unsupervised fashion and evaluate it using a coupled discrete element–computational fluid dynamics simulation of an optical sorter. We compare our method with predictive tracking in terms of sorting accuracy and demonstrate that it is an easy-to-apply alternative while achieving state-of-the-art results.

关键词： Monitoring of product quality and control performance Neural networks in process control Machine learning methods and applications Artificial intelligence in mining, minerals and metals Process monitoring and fault diagnosis

来源：评论

学校读者我要写书评

暂无评论

Robust Entropy Search for Safe Efficient Bayesian Optimization

arXiv

引用

arXiv 2024年

作者： Weichert, Dorina Kister, Alexander Houben, Sebastian Link, Patrick Ernis, Gunar Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS Sankt Augustin Germany VP.1 eScience Federal Institute for Materials Research and Testing BAM Berlin Germany University of Applied Sciences Bonn-Rhein-Sieg Sankt Augustin Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering TUD Dresden University of Technology Dresden Germany

The practical use of Bayesian Optimization (BO) in engineering applications imposes special requirements: high sampling efficiency on the one hand and finding a robust solution on the other hand. We address the case of adversarial robustness, where all parameters are controllable during the optimization process, but a subset of them is uncontrollable or even adversely perturbed at the time of application. To this end, we develop an efficient information-based acquisition function that we call Robust Entropy Search (RES). We empirically demonstrate its benefits in experiments on synthetic and real-life data. The results show that RES reliably finds robust optima, outperforming state-of-the-art algorithms. © 2024, CC BY-SA.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering

引用

Procedia CIRP 2023年 119卷 693-698页

作者： Lynn Humpert Moritz Wäschle Sarah Horstmeyer Harald Anacker Roman Dumitrescu Albert Albers Fraunhofer Research Institute for Mechatronic Systems Design IEM Zukunftsmeile 1 33102 Paderborn Germany Institute of Product Engineering at Karlsruhe Institute of Technology (KIT) Kaiserstr. 10 76131 Karlsruhe Germany HARTING Applied Technologies GmbH Wilhelm-Harting-Straβe 1 32339 Espelkamp Germany

Artificial Intelligence (AI) offers high potential for addressing various challenges in engineering. The supportive use of cognitive systems allows an efficient division of work, especially for knowledge workers. For example, error-prone, repetitive, and non-essential activities can be outsourced or supported by AI. However, the establishment of AI solutions often fails due to a purely technically oriented approach. Successful implementation requires a prior selection of potential and intended benefits, in which all stakeholders are involved systematically. Including stakeholders at an early stage prevents expensive mistakes. In this paper human-oriented methods are applied and adapted to further detail AI use cases and achieve a high benefit for multiple stakeholders. That is the reason why this method stands out from previous methods. Five steps for elaboration AI use cases are presented in this method: Stakeholder-Identification, Stakeholder-Analysis, Synthesis of the user problem, Testing and Benchmarking, and Detailed evaluation and prioritization. In Special-Purpose engineering, the focus is on individual products for the customer. Therefore, three AI use cases have emerged from the design department of a Special-Purpose engineering company. The content of detailed descriptions and initial demonstrators are discussed with the stakeholders along the method and the results are fed back into a reusable, comprehensive architecture framework including a Black-Box model. In addition, the technical side is detailed and its applicability in a company is examined. Subsequently, the use cases are further adapted and evaluated with the users. The result is an AI use case that can proceed to the next phase of implementation. The following paper illustrates this stakeholder-oriented procedure for evaluating and detailing AI use cases validated by three use cases - for example, "Reverse engineering of functions"- in Special-Purpose engineering.

关键词： Artificial Intelligence use cases, Stakeholder-oriented Elaboration Human-oriented methods User-driven development Special-Purpose engineering

来源：评论

学校读者我要写书评

暂无评论

Robust entropy search for safe efficient Bayesian optimization 24

Robust entropy search for safe efficient Bayesian optimizati...

引用

Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence

作者： Dorina Weichert Alexander Kister Sebastian Houben Patrick Link Gunar Ernis Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS Sankt Augustin Germany VP.1 eScience Federal Institute for Materials Research and Testing BAM Berlin Germany University of Applied Sciences Bonn-Rhein-Sieg Sankt Augustin Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany and Institute of Mechatronic Engineering TUD Dresden University of Technology Dresden Germany

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cooling Lubricant Boundary Conditions for wet Turning Simulations

引用

Procedia CIRP 2023年 118卷 384-389页

作者： Eckart Uhlmann Enrico Barth Kaissar Nabbout Martin Sommerfeld Benjamin Bock-Marbach Jörg Kuhnert Andrey Dovgal Technische Universität Berlin Institute for Machine Tools and Factory Management (IWF) Chair of Machine Tools and Manufacturing Technology Pascalstr. 8-9 10587 Berlin Germany Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstr. 8-9 10587 Berlin Germany Otto von Guericke University Magdeburg Institute of Process Engineering Universitaetsplatz 2 39106 Magdeburg Germany Fraunhofer Institute for Industrial Mathematics ITWM Fraunhofer-Platz 1 67663 Kaiserslautern Germany

In recent years, the rise in computation and modelling capabilities has enabled first chip formation simulations for wet cutting processes. Currently, chip formation simulations are limited to a small simulation domain around the cutting edge. Hence, vague assumptions of inflow boundary conditions of the cooling lubricant must be made. In this paper, a procedure is shown to determine the boundary conditions of the free fluid jet for different cooling lubricant strategies by combination of Particle Image Velocimetry (PIV) and meshfree fluid simulations. As a result, usual assumptions of cooling lubricant boundary conditions are evaluated and deviations are identified.

关键词： Turning Fluid Simulation

来源：评论

学校读者我要写书评

暂无评论

Photonic Integrated Circuits for 5G-and-Beyond Networks: Enabling the mmWave Band and Beyond with InP-based Photomixers in Integrated Transceivers 12

Photonic Integrated Circuits for 5G-and-Beyond Networks: Ena...

引用

Next-Generation Optical Communication: Components, Sub-systems, and systems XII 2023

作者： Andrianopoulos, Efstathios Deumer, Milan Qian, Tianwen Lyras, Nikolaos Nellen, Simon Pikasis, Evangelos Ntouni, Georgia Loghis, Eleftherios Tsirbas, Elias de Felipe, David Groumas, Panos Tsokos, Christos Massaouti, Maria Kouloumentas, Christos Kritharidis, Dimitrios Kohlhaas, Robert B. Keil, Norbert Schell, Martin Avramopoulos, Hercules Institute of Communication and Computer Systems Athens Greece Fraunhofer Heinrich Hertz Institute Einsteinufer 37 Berlin10587 Germany Technical University Berlin Institute of Solid State Physics Hardenbergstraße 36 Berlin10623 Germany Intracom Telecom 19.7 km Markopoulou Ave. Peania Athens19002 Greece Optagon Photonics Agia Paraskevi Athens15341 Greece School of Electrical and Computer Engineering National Technical University of Athens Athens Greece

ISBN: (纸本)9781510659636

Photonic integrated circuits (PICs) are one of the key enablers for beyond 5G networks. A novel generation of fully integrated photonic-enabled transceivers operating seamlessly in W- D- and THz-bands is developed within the EU funded project TERAWAY. Photonic integration technology enables key photonic functionalities on a single PIC including photonic up/down conversion. For efficient down-conversion at the photonic integrated receiver, we develop the first waveguide-fed photoconductive antenna for THz communications. Finally, we report on the experimental implementation of a fully photonic-enabled link operating across W- D- and THz-bands. © 2023 SPIE.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

Mitigation of AI-inherent risks in AI-supported industrial development and scientific research

Mitigation of AI-inherent risks in AI-supported industrial d...

引用

Smart systems Integration (SSI)

作者： Marcus Stiemer Harald Mathis Cécile Lecampion Wenceslas Rahajandraibed Christian Hedayat Department of Electrical Engineering Helmut Schmidt University Hamburg Germany Application Center SYMILA Fraunhofer Institute for Electronic Nano Systems FIT Hamm Germany Aix-Marseille Univ CEA CNRS BIAM UMR7265 Marseille France Aix Marseille Université CNRS Université de Toulon IM2NP UMR7334 Marseille France Department Smart Wireless Systems Fraunhofer Institute for Electronic Nano Systems ENAS Paderborn Germany

ISBN: (数字)9798350388770

ISBN: (纸本)9798350388787

This presentation gives an overview over measures that can be taken to mitigate artificial intelligence (AI)-inherent risks in scientific and industrial research and development. Parts of the presentation are based on results of the research project progressivKI on AI-support for electronic design automation (EDA), in which an EDA-service platform has been developed and provided for industrial applications. Further contributions are related to machine learning (ML) and AI applications in Life Sciences and Biology. Particularly, questions on the quality of AI-supported scientific research are discussed: In plant biology, artificial intelligence is gradually establishing itself as a tool of first choice for large-scale studies on both the genomic and the phenotypic level. In addition, measures to protect data exchange via the European cloud GAIA-X, which is used in some of the projects mentioned above, are discussed.

关键词： Prevention and mitigation Plants (biology) Medical services Machine learning Smart systems Particle measurements Biology Complexity theory Artificial intelligence Research and development

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：