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arXiv 2024年

作者： Medaglia, Andrea Nastasi, Giovanni Romano, Vittorio Zanella, Mattia Mathematical Institute University of Oxford United Kingdom Department of Engineering and Architecture University of Enna Kore Italy Department of Mathematics and Computer Science University of Catania Italy Department of Mathematics F. Casorati University of Pavia Italy

In this article, we investigate some issues related to the quantification of uncertainties associated with the electrical properties of graphene nanoribbons. The approach is suited to understand the effects of missing information linked to the difficulty of fixing some material parameters, such as the band gap, and the strength of the applied electric field. In particular, we focus on the extension of particle Galerkin methods for kinetic equations in the case of the semiclassical Boltzmann equation for charge transport in graphene nanoribbons with uncertainties. To this end, we develop an efficient particle scheme which allows us to parallelize the computation and then, after a suitable generalization of the scheme to the case of random inputs, we present a Galerkin reformulation of the particle dynamics, obtained by means of a generalized Polynomial Chaos approach, which allows the reconstruction of the kinetic distribution. As a consequence, the proposed particle-based scheme preserves the physical properties and the positivity of the distribution function also in the presence of a complex scattering in the transport equation of electrons. The impact of the uncertainty of the band gap and applied field on the electrical current is *** Codes 82D37, 82C70, 65C05, 82M31 Copyright © 2024, The Authors. All rights reserved.

关键词： Boltzmann equation

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Relip: Reliable in-Band Parallel Communication for Magnetic MIMO Wireless Power Transfer System

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IEEE Transactions on Mobile Computing 2025年

作者： Wang, Xinyu Zhou, Wangqiu Zhou, Hao Jiang, Shenyao Liu, Zhi Wang, Xiaoyan Ji, Yusheng Song, Qi City University of Hong Kong Department of Computer Science Hong Kong University of Science and Technology of China School of Computer Science and Technology Hefei230027 China The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo182-8585 Japan Ibaraki University Graduate School of Science and Engineering Ibaraki310-8512 Japan National Institute of Informatics Information Systems Architecture Science Research Division Tokyo101-0003 Japan

In magnetic resonant coupling (MRC) based wireless power transfer (WPT) systems, receiver (RX) feedback communication is promising to enhance the capability and efficiency of the system. Although some studies have explored in-band implementations with low overhead costs, it has not been comprehensively investigated. In this paper, we propose Relip, a Reliable layer-level in-band parallel feedback communication mechanism for MIMO MRC-WPT systems, which addresses the impact of RX-RX couplings (i.e., non-negligible interference from strong couplings and positive effects of relay phenomenon), and provides a theoretical analysis of communication reliability. Technically, we first devise an On-Off based two-phase modulation mechanism to achieve RX identification and dependency detection under relay phenomenon. Then, we utilize observed channel decomposability to collect group-level power transfer channel conditions for eliminating the interference caused by strong RX-RX couplings. Furthermore, we perform RX selection to optimize the trade-off between communication reliability and time overhead. We design and implement the Relip prototype and conduct extensive experiments. The results validate the effectiveness of our mechanism, i.e., Relip can provide ≥99% average decoding accuracy for concurrent feedback communication of 14 devices, achieving an 18.31% improvement compared to the state-of-the-art solution. © 2002-2012 IEEE.

关键词： Inductive power transmission

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Robust Brain-Inspired Computing: On the Reliability of Spiking Neural Network Using Emerging Non-Volatile Synapses

Robust Brain-Inspired Computing: On the Reliability of Spiki...

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Annual International Symposium on Reliability Physics

作者： Ming-Liang Wei Hussam Amrouch Cheng-Lin Sung Hang-Ting Lue Chia-Lin Yang Keh-Chung Wang Chih-Yuan Lu Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Institute of Computer Architecture and Computer Engineering University of Stuttgart Stuttgart Germany Macronix International Co. Ltd. Hsinchu Taiwan

A spiking neural network (SNN) with non-volatile memory synapses can facilitate an ideal analog approach with low power consumption for intelligent applications. However, reliability issues would arise due to the characteristics of Non-Volatile Memory synapses operating under the limited size of a neural circuit component called membrane capacitor, resulting in low precision MAC. Through a simulation study, we identified several important criteria of the memory synapses that affect performance of the SNN for the membrane capacitor size of 1pF. (1) The required ON-OFF ratio of synapse needs to be >1000 to preserve classification accuracy. (2) Low on-current Ion (<; 10uA) is preferred for low power. (3) The variation and error of Ion should be lower than +/- 10% of mean value.

关键词： Power demand Nonvolatile memory Simulation Capacitors Reliability theory Ions Synapses

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Pixel Memories: Do Lifelog Summaries Fail to Enhance Memory but Offer Privacy-Aware Memory Assessments? 25

Pixel Memories: Do Lifelog Summaries Fail to Enhance Memory ...

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2025 CHI Conference on Human Factors in Computing Systems, CHI 2025

作者： Elagroudy, Passant Rzayev, Rufat Machulla, Tonja-Katrin Le, Huy Viet Dingler, Tilman Lischke, Lars Clinch, Sarah Ward, Geoffrey Schmidt, Albrecht Kaiserslautern Germany RPTU Kaiserslautern Kaiserslautern Germany Interactive Media Lab Dresden TUD Dresden University of Technology Dresden Germany Institute for Media Research TU Chemnitz Chemnitz Germany University of Stuttgart Stuttgart Germany Industrial Design Engineering Delft University of Technology Delft Netherlands User Centric Data Science Vrije Universiteit Amsterdam Amsterdam Netherlands Department of Computer Science The University of Manchester Manchester United Kingdom Department of Psychology University of Essex Essex United Kingdom LMU Munich Munich Germany

ISBN: (纸本)9798400713941

We explore the metaphorical "daily memory pill"concept - a brief pictorial lifelog recap aimed at reviving and preserving memories. Leveraging psychological strategies, we explore the potential of such summaries to boost autobiographical memory. We developed an automated lifelogging memory prosthesis and a research protocol (Automated Memory Validation "AMV") for conducting privacy-aware, in-situ evaluations. We conducted a real-world lifelogging experiment for a month (n=11). We also designed a browser "Pixel Memories"for browsing one-week worth of lifelogs. The results suggest that daily timelapse summaries, while not yielding significant memory augmentation effects, also do not lead to memory degradation. Participants' confidence in recalled content remains unaltered, but the study highlights the challenge of users' overestimation of memory accuracy. Our core contributions, the AMV protocol and "Pixel Memories"browser, advance our understanding of memory augmentations and offer a privacy-preserving method for evaluating future ubicomp systems. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Memory architecture

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GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR Genie Datasets

arXiv

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arXiv 2023年

作者： Bidollahkhani, Michael Atasoy, Ferhat Abedini, Elnaz Davar, Ali Hamza, Omid Sefaoğlu, Fırat Jafari, Amin Yalçın, Muhammed Nadir Abdellatef, Hamdan Department of Computer Engineering Institute of Graduate Studies Karabuk University Turkey Göttingen Germany Department of Biomedical Engineering Institute of Graduate Studies Karabuk University Turkey Department of Genetics and Bioengineering Faculty of Engineering and Architecture Kastamonu University Turkey Department of Medical Science Faculty of Medicine Karabuk University Turkey Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

In recent years, the field of medicine has been increasingly adopting artificial intelligence (AI) technologies to provide faster and more accurate disease detection, prediction, and assessment. In this study, we propose an interpretable AI approach to diagnose patients with neurofibromatosis using blood tests and pathogenic variables. We evaluated the proposed method using a dataset from the AACR GENIE project and compared its performance with modern approaches. Our proposed approach outperformed existing models with 99.86% accuracy. We also conducted NF1 and interpretable AI tests to validate our approach. Our work provides an explainable approach model using logistic regression and explanatory stimulus as well as a black-box model. The explainable models help to explain the predictions of black-box models while the glass-box models provide information about the best-fit features. Overall, our study presents an interpretable AI approach for diagnosing patients with neurofibromatosis and demonstrates the potential of AI in the medical field. © 2023, CC BY-NC-ND.

关键词： Machine learning

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On the Impact of Billing Cycles on Compensations in Network SLAs

On the Impact of Billing Cycles on Compensations in Network ...

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International Conference on Optical Network Design and Modeling, ONDM

作者： Tobias Enderle Institute of Communication Networks and Computer Engineering University of Stuttgart Stuttgart Germany

Network connections in optical backbone networks are subject to failures and the network operator is obliged to compensate its customers according to the terms of the service level agreement (SLA) if outages have occurred. These compensations are typically made after regular billing cycles. In most SLAs the billing cycle has a length of one calendar month. However, the length of the billing cycle has a significant impact on the compensation that is to be paid by the network operator. To show this, we first derive the exact distribution of the downtime per billing cycle for dedicated path-protected connections with exponential failure and repair times. Based on this, we derive the expected amount of compensation for different SLA compensation policies. We show that, depending on the failure and repair characteristics of the network components, there is a billing cycle for which the expected amount of compensation is maximized and hence is to be avoided. Consequently, the adjustment of the billing cycle to the failure and repair characteristics or vice versa can play an important role in the optimal design of SLAs.

关键词： Analytical models Europe Maintenance engineering Optical fiber networks Service level agreements Business

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Boosting Solar Energy Production of a Building using New Architectural Design

Boosting Solar Energy Production of a Building using New Arc...

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Computational Intelligence and Sustainable engineering Solutions (CISES), International Conference on

作者： Ladan Khalvati Zahra Ebrahimi Sheykhshabani Afshin Balal Negin Arbabzadeh Department of Design Texas Tech University Lubbock USA Architecture Department Pars Institute of Art and Architecture Tehran Iran Department of Electrical and Computer Engineering Texas Tech University Lubbock USA College of Architecture Iran University of Science and Technology Tehran Iran

Fossil fuels and air pollution are significant problems nowadays, causing many countries to increase their investments in renewable energy development. As the world's energy demand grows, governments are looking into and developing alternative energy sources like solar energy. Solar energy is one of the most promising solutions to address the above problem. In addition, the development of sustainable design in architecture has become a crucial factor in the construction industry as the world faces the challenges of climate change and diminishing fossil fuel reserves. Architects are now seeking innovative ways to incorporate sustainable and renewable energy sources into their designs. Solar energy, as a sustainable and clean energy source, has gained significant attention in recent years. It offers an opportunity to reduce the dependence on non-renewable energy sources and lower carbon emissions. Additionally, the use of solar technology in architectural designs can enhance the aesthetic appeal of buildings while providing energy efficiency. Building-integrated photovoltaic systems have emerged as a popular solution that allows for the integration of photovoltaic cells into the structure of buildings. In this paper, a new architectural design for a building in Tehran is proposed, which leads to the increase of generated solar energy. Needless to say, the designs must be beautiful to look at, functional, and good for the environment. Grasshopper and rhino are utilized to demonstrate the design. In addition, System Advisor Model (SAM) is implemented to study the economic analysis of the solar photovoltaic system planted on the building. The simulation result indicates that with the new design, the power production is increased from 21437 kWh to 69484 kWh. In addition, by using the proposed system in comparison with fossil fuel power plants, a huge amount of air pollution is will be removed from the air.

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Miniature magneto-oscillatory wireless sensor for magnetic field and gradient measurements

arXiv

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arXiv 2024年

作者： Fischer, Felix Jeong, Moonkwang Qiu, Tian Site Dresden Dresden01307 Germany Faculty of Engineering Sciences University of Heidelberg Heidelberg69120 Germany Institute of Physical Chemistry University of Stuttgart Stuttgart70569 Germany Faculty of Medicine Carl Gustav Carus Dresden University of Technology Dresden01307 Germany Faculty of Electrical and Computer Engineering Dresden University of Technology Dresden01187 Germany

Magneto-oscillatory devices have been recently developed as very potent wireless miniature position trackers and sensors with an exceptional accuracy and sensing distance for surgical and robotic applications. However, it is still unclear to which extend a mechanically resonating sub-millimeter magnet interacts with external magnetic fields or gradients, which induce frequency shifts of sub-mHz to several Hz and therefore affect the sensing accuracy. Here, we investigate this effect experimentally on a cantilever-based magneto-oscillatory wireless sensor (MOWS) and build an analytical model concerning magnetic and mechanical interactions. The millimeter-scale MOWS is capable to detect magnetic fields with sub-µT resolution to at least ± 5 mT, and simultaneously detects magnetic field gradients with a resolution of 65 µT/m to at least ± 50 mT/m. The magnetic field sensitivity allows direct calculation of mechanical device properties, and by rotation, individual contributions of the magnetic field and gradient can be analyzed. The derived model is general and can be applied to other magneto-oscillatory systems interacting with magnetic environments. © 2024, CC BY.

关键词： Robotic surgery

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Automatic visual inspection system based on LCD screen 4

Automatic visual inspection system based on LCD screen

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4th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2022

作者： Han, Juntao Xue, Hao Tang, Haitong Wu, Ting Ye, Yantong Li, Jingyang Jiangsu University of Science and Technology Computer Science Jiangsu Zhenjiang212028 China Jiangsu University of Science and Technology Institute of Telecommunication Jiangsu Zhenjiang212028 China Jiangsu University of Science and Technology Institute of Shenlan Jiangsu Zhenjiang212028 China Jiangsu University of Science and Technology Institute of Civil Engineering and Architecture Jiangsu Zhenjiang212028 China

ISBN: (数字)9781665467667

ISBN: (纸本)9781665467667

In the face of traditional detection technology, the efficiency is low, the accuracy is poor, the degree of human influence is large, and the cost is high;the key technologies in the automatic detection system in foreign markets are not disclosed to the public, and will not be provided to other companies for use, which is difficult to popularize and use on a large scale. External conditions;the machine vision-based LCD screen dead pixel detection system designed and developed in this paper integrates the advantages of high integration, low cost, high efficiency and high accuracy, which greatly meets the needs of the domestic mobile phone market and can be widely used in China. Major mobile phone manufacturers and LCD screen manufacturers. The system supporting automatic control platform designed and developed in this paper can meet the quality inspection of LCD screens of various sizes, and can also be invested in the maintenance of LCD screens of various electronic products to detect whether there are dead pixels on the mobile phone screen. © 2022 IEEE.

关键词： computer vision

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Modeling and Benchmarking 5nm Ferroelectric FinFET from Room Temperature down to Cryogenic Temperatures

TechRxiv

引用

TechRxiv 2023年

作者： Parihar, Shivendra Singh Chatterjee, Swetaki Pahwa, Girish Chauhan, Yogesh Singh Amrouch, Hussam University of Stuttgart Germany Department of Electrical Engineering Indian Institute of Technology Kanpur India Department of Electrical Engineering & Computer Sciences University of California Berkeley United States Munich Institute of Robotics and Machine Intelligence Munich Germany Germany

The rise in quantum-computing systems, space electronics, and superconducting processors requires compatible cryogenic memories. The stringent operating conditions for these applications put additional constraints on the endurance and reliable operation of such memories. Ferroelectric-Field Effect Transistors (FeFETs) based on ferroelectric properties of the Hafnium Zirconium Oxide (HZO) can be an excellent choice for these systems. This requires a thorough characterization of FeFET at deep cryogenic temperatures. Also, the scalability of the FeFET to lower technology nodes implies a lower area and reduced leakage. In this work, we, therefore, fully characterize the 5 nm node Fe-FinFET from 10 K to 400 K. To this end, the underlying 5 nm node FinFET transistor is calibrated with experimental data from cryogenic temperatures to above-room temperatures. The material parameters of the Ferroelectric layer are also calibrated with reported measurement data. We propose that the reported endurance improvement of the HZO layer at cryogenic temperatures can improve the reliability of the Fe-FinFET. The observed wake-up and fatigue at higher temperatures are also nonexistent at cryogenic temperatures. Although the memory window is reduced at cryogenic temperature compared to room temperature, we can still hold multiple states. This is also verified through our simulations. Lastly, we demonstrate the variability in high and low threshold voltage (VTH) states due to extrinsic variation sources of the underlying transistor and ferroelectric material parameters. We observe a relatively lower variation at cryogenic temperature. © 2023, CC BY.

关键词： FinFET

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