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IEEE Global Conference on Life sciences and Technologies (LifeTech)

作者： Christoph Niemann Christian Ewert Henning Puttnies Michael Rethfeldt Dirk Timmermann Peter Danielis Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany Department of Computer Science University of Rostock Rostock Germany

ISBN: (数字)9781728170633

ISBN: (纸本)9781728170640

Connected mobile and embedded devices including tablets, smartphones, and smartwatches but also IoT sensors and actuators as well as medical implants are subject to a rapid development in terms of their numbers and computing power. However, these devices have energy limitations, e.g., due to limited energy supplies. In order for networked devices to be able to manage their energy, they can offload tasks to other devices. However, they need to estimate the energy demand to execute the tasks in order to take offloading decisions. This paper proposes energy models for estimating the energy consumption for task processing derived from practical measurements for exemplary tasks. The task-processing energy consumption models are implemented in the OMNeT++ simulator to allow simulative, accurate task-offloading investigations.

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The Future of EV: Real-Time Development of an Intelligent Wireless Charging System for Electric Vehicles

The Future of EV: Real-Time Development of an Intelligent Wi...

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Cognitive, Green and Ubiquitous Computing (IC-CGU), International Conference on

作者： A. Rajalingam Darwin Nesakumar A S. Sathya Jishor Erat Krishnankutty Abid Y Jubert R. Pagunuran Engineering Department College of Engineering and Technology University of Technology and Applied Sciences Shinas Sultanate of Oman Department of Electronics and Communication Engineering R. M. K. Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Department of VLSI Microelectronics Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha School of Engineering Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798350361780

ISBN: (纸本)9798350361797

The world is always on the lookout for new ways to put technology to use, and it is changing at a rate no one has ever seen before. For decades, the car industry has done nothing to alter. The advent of electric vehicles, which run on electricity rather than fossil fuels, was the big breakthrough. There have been many investigations and appreciated structures as well as outcomes for wirelessly powering electric automobiles, both passively and rapidly. This might result in a more rapid acceptance of electric vehicles globally, as it is an emerging technology in automotive manufacturing that has not yet been widely used. We cross-validated our Intelligent Wireless Charging System (IWCS), a wireless power transmission charging circuit for electric vehicles, with the Classical Charging System (CCS) to assess the efficacy of the proposed model. To solve the problem of battery overheating during charging while plugged in, as well as to extend the vehicle's battery life, the suggested model is employed. Batteries temperature handling is the primary concern for EVs due to the increased heat losses while plugged-in charging, which in turn reduces the battery's lifespan. Currently, electric cars mostly employ water-cooled systems to cool the battery, which isn't ideal for EVs due to the added size and weight. Air cooling is another option for cooling systems; it's already used in internal combustion engines but isn't very effective in electric vehicles since charging the battery produces too much heat. There is a considerable decrease in thermal output when we employ wireless charging technology. The proposed system's primary objective is to provide wireless power transfer using inductive coupling as its basis.

关键词： Coils Wireless communication Industries Cooling Inductive charging Wireless power transfer Electric vehicles

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Freeform Direct-write and Rewritable Photonic Integrated Circuits in Phase-Change Thin Films

arXiv

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arXiv 2023年

作者： Wu, Changming Deng, Haoqin Huang, Yi-Siou Yu, Heshan Takeuchi, Ichiro Ríos Ocampo, Carlos A. Li, Mo Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Materials Science and Engineering University of Maryland College ParkMD20742 United States School of Microelectronics Tianjin University Tianjin300072 China Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Physics University of Washington SeattleWA98195 United States

Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities promise revolutionary impacts on a plethora of photonic technologies. Here, we report direct-write and rewritable photonic circuits on a low-loss phase change material (PCM) thin film. Complete end-to-end PICs are directly laser written in one step without additional fabrication processes, and any part of the circuit can be erased and rewritten, facilitating rapid design modification. We demonstrate the versatility of this technique for diverse applications, including an optical interconnect fabric for reconfigurable networking, a photonic crossbar array for optical computing, and a tunable optical filter for optical signal processing. By combining the programmability of the direct laser writing technique with PCM, our technique unlocks opportunities for programmable photonic networking, computing, and signal processing. Moreover, the rewritable photonic circuits enable rapid prototyping and testing in a convenient and cost-efficient manner, eliminate the need for nanofabrication facilities, and thus promote the proliferation of photonics research and education to a broader community. © 2023, CC BY.

关键词： Phase change materials

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Superconducting Microstrip Losses at Microwave and Submillimeter Wavelengths

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Physical Review applied 2021年第1期16卷 014019-014019页

作者： S. Hähnle K. Kouwenhoven B. Buijtendorp A. Endo K. Karatsu D.J. Thoen V. Murugesan J.J.A. Baselmans SRON - Netherlands Institute for Space Research Sorbonnelaan 2 Utrecht 3584 CA The Netherlands Department of Microelectronics Faculty of Electrical Engineering Mathematics and Computer Science (EEMCS) Delft University of Technology Mekelweg 4 Delft 2628 CD The Netherlands Kavli Institute of NanoScience Faculty of Applied Sciences Delft University of Technology Lorentzweg 1 Delft 2628 CJ The Netherlands

We present a lab-on-chip experiment to accurately measure losses of superconducting microstrip lines at microwave and submillimeter wavelengths. The microstrips are fabricated from Nb−Ti−N, which is deposited using reactive magnetron sputtering, and amorphous silicon which is deposited using plasma-enhanced chemical vapor deposition (PECVD). Submillimeter wave losses are measured using on-chip Fabry-Perot resonators (FPRs) operating around 350 GHz. Microwave losses are measured using shunted half-wave resonators with an identical geometry and fabricated on the same chip. We measure a loss tangent of the amorphous silicon at single-photon energies of tan δ=3.7±0.5×10−5 at approximately 6GHz and tan δ=2.1±0.1×10−4 at 350 GHz. These results represent very low losses for deposited dielectrics, but the submillimeter wave losses are significantly higher than the microwave losses, which cannot be understood using the standard two-level system loss model.

关键词： Metrology Optoelectronics Quantum information with solid state qubits Superconducting quantum optics Superconducting devices Cavity resonators Microwave techniques Terahertz spectroscopy

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Realizing room-temperature ferromagnetism in metal-free graphene through vacancy-assisted hydrogenation

Chain

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Chain 2025年第1期2卷 72-80页

作者： Yongjie Xu Dingyi Yang Yu Zhang Gongkai Yuan Yici Zou Zhibo Zhang Yong Wang Yizhang Wu School of Education Jiangsu Open UniversityNanjing 210036China National Laboratory of Solid-State Microstructures Collaborative Innovation Center of Advanced Microstructuresand Jiangsu Provincial Key Laboratory for NanotechnologyNanjing UniversityNanjing 210093China Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory School of MicroelectronicsAcademy of Advanced Interdisciplinary ResearchXidian UniversityXi’an 710071China Department of Physics Shaanxi University of Science and TechnologyXi’an 710021China Department of Applied Physical Sciences The University of North Carolina at Chapel HillChapel HillNC 27514USA Graduate School of Arts and Sciences Georgetown UniversityWashingtonDC 20057USA Department of Computer science and Engineering Michigan State UniversityEast LansingMI 48824USA Institute of Materials Engineering Nanjing UniversityNantong 226019China

Room-temperature ferromagnetism in graphene is a crucial step toward the practical application of spintronic *** hydrogen adsorption on graphene has been shown to induce magnetic moments,the overall efficiency remains low due to the clustering of hydrogen atoms and weak magnetic *** study demonstrates a highly effective vacancy-assisted hydrogenation method to synthesize hydrogenated graphene(HG)with robust room-temperature *** introduction of vacancies inhibits hydrogen clustering,increases magnetic edge atoms,and enhances the coupling between magnetic *** a result,HG exhibits a Curie temperature of 540 K and a saturation magnetization of 0.69 emu/g at 300 *** findings provide a new approach for the efficient hydrogenation of graphene,paving the way for its applications in spintronic devices.

关键词： graphene ferromagnetic hydrogenation vacancy-assisted room-temperature

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Correction to: A Modified Anisotropic Diffusion Scheme for Signal-Dependent Noise Filtering

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Circuits, Systems, and Signal Processing 2024年第7期43卷 4220-4220页

作者： Ben Abdallah, Mariem Malek, Jihene Bajahzar, Abdullah Belmabrouk, Hafedh Faculty of Sciences Electronics and Microelectronics Laboratory University of Monastir Monastir Tunisia Department of Electronics Higher Institute of Applied Sciences and Technology of Sousse University of Sousse Sousse Tunisia Department of Computer Science and Information College of Science Majmaah University Al-Majmaah Saudi Arabia Department of Physics College of Science Majmaah University Al-Majmaah Saudi Arabia

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Recent progress of integrated circuits and optoelectronic chips

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science China(Information sciences) 2021年第10期64卷 103-135页

作者： Yue HAO Shuiying XIANG Genquan HAN Jincheng ZHANG Xiaohua MA Zhangming ZHU Xingxing GUO Yahui ZHANG Yanan HAN Ziwei SONG Yan LIU Ling YANG Hong ZHOU Jiangyi SHI Wei ZHANG Min XU Weisheng ZHAO Biao PAN Yangqi HUANG Qi LIU Yimao CAI Jian ZHU Xin OU Tiangui YOU Huaqiang WU Bin GAO Zhiyong ZHANG Guoping GUO Yonghua CHEN Yong LIU Xiangfei CHEN Chunlai XUE Xingjun WANG Lixia ZHAO Xihua ZOU Lianshan YAN Ming LI School of Microelectronics Xidian University State Key Laboratory of Integrated Service Networks Xidian University National Integrated Circuit Innovation Center School of Microelectronics Fudan University School of Integrated Circuit Science and Engineering Beihang University China Center for Information Industry Development Frontier Institute of Chip and System Fudan University Institute of Microelectronics Peking University Nanjing Electronic Devices Institute State Key Laboratory of Functional Material for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Institute of Microelectronics Tsinghua University Center for Carbon-based Electronics Department of Electronics Peking University CAS Key Laboratory of Quantum Information University of Science and Technology of China CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Origin Quantum Computing Company Limited Key Laboratory of Flexible Electronics & Institute of Advanced Materials Nanjing Tech University State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and EngineeringUniversity of Electronic Science and Technology of China National Laboratory of Solid State Microstructures & College of Engineering and Applied Sciences Nanjing University State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University School of Electrical and Electronic Engineering Tiangong University Center for Information Photonics and Communications School of Information Science and TechnologySouthwest Jiaotong University School of Electronic Electrical and Communication Engineering

Integrated circuits(ICs) and optoelectronic chips are the foundation stones of the modern information society. The IC industry has been driven by the so-called "Moore's law" in the past 60 years, and now has entered the post Moore's law era. In this paper, we review the recent progress of ICs and optoelectronic chips. The research status, technical challenges and development trend of devices, chips and integrated technologies of typical IC and optoelectronic chips are focused on. The main contents include the development law of IC and optoelectronic chip technology, the IC design and processing technology, emerging memory and chip architecture, brain-like chip structure and its mechanism, heterogeneous integration, quantum chip technology, silicon photonics chip technology, integrated microwave photonic chip, and optoelectronic hybrid integrated chip.

关键词： integrated circuit semiconductor science and technology optoelectronic device and chip photonic integrated circuit wide bandgap semiconductors silicon photonics hybrid integration quantum chip integrated microwave photonic photonic neural computing

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Correction: Machine learning models for modeling the biosorption of Fe(III) ions by activated carbon from olive stone

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Neural Computing and Applications 2024年第21期36卷 13373-13373页

作者： Massaoudi, Ayman Echouchene, Fraj Ben Ayed, Mossaad Berguiga, Abdelwahed Harchay, Ahlem Al-Ghamdi, Sara Belmabrouk, Hafedh Department of Computer Science College of Science and Arts in Gurayat Jouf University Sakakah Saudi Arabia Olive Research Center Jouf University Sakakah Saudi Arabia Laboratory of Electronics and Microelectronics Faculty of Science of Monastir University of Monastir Monastir Tunisia Higher Institute of Applied Sciences and Technology of Sousse University of Sousse Sousse Tunisia Department of Industrial Electronics ENISo University of Sousse Sousse Tunisia Department of Computer Science College of Computer and Information Sciences Jouf University Sakakah Saudi Arabia Department of Physics College of Science Majmaah University Al Majma’ah Saudi Arabia

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Reduced graphene oxide tattoo as wearable proximity sensor

arXiv

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arXiv 2020年

作者： Kedambaimoole, Vaishakh Kumar, Neelotpala Shirhatti, Vijay Nuthalapati, Suresh Kumar, Saurabh Nayak, Mangalore Manjunatha Sen, Prosenjit Akinwande, Deji Rajanna, Konandur Dept of Instrumentation and Applied Physics Indian Institute of Science Bangalore560012 India Centre for Nano Science and Engineering Indian Institute of Science Bangalore560012 India Microelectronics Research Center Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX United States

The human body is punctuated with wide array of sensory systems that provide a high evolutionary advantage by facilitating formation of a detailed picture of the immediate surroundings. The sensors range across a wide spectrum, acquiring input from non-contact audio-visual means to contact based input via pressure and temperature. The ambit of sensing can be extended further by imparting the body with increased non-contact sensing capability through the phenomenon of electrostatics. Here we present graphene-based tattoo sensor for proximity sensing, employing the principle of electrostatic gating. The sensor shows a remarkable change in resistance upon exposure to objects surrounded with static charge on them. Compared to prior work in this field, the sensor has demonstrated the highest recorded proximity detection range of 20 cm. It is ultrathin, highly skin conformal and comes with a facile transfer process such that it can be tattooed on highly curvilinear rough substrates like the human skin, unlike other graphene-based proximity sensors reported before. Present work details the operation of wearable proximity sensor while exploring the effect of mounting body on the working mechanism. A possible role of the sensor as an alerting system against unwarranted contact with objects in public places especially during the current SARS-CoV-2 pandemic has also been explored in the form of an LED bracelet whose color is controlled by the proximity sensor attached to it. © 2020, CC BY.

关键词： Graphene

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Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks

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Medical Image Analysis 2022年 78卷 102396-102396页

作者： Subramaniam, Pooja Kossen, Tabea Ritter, Kerstin Hennemuth, Anja Hildebrand, Kristian Hilbert, Adam Sobesky, Jan Livne, Michelle Galinovic, Ivana Khalil, Ahmed A. Fiebach, Jochen B. Frey, Dietmar Madai, Vince I. CLAIM - Charité Lab for AI in Medicine Charité Universitätsmedizin Berlin Germany Department of Computer Engineering and Microelectronics Computer Vision & Remote Sensing Technical University Berlin Berlin Germany Berlin Germany Bernstein Center for Computational Neuroscience Berlin Germany Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine Charité Universitätsmedizin Berlin Berlin Germany Fraunhofer MEVIS Max-von-Laue-Str. 2 Bremen Germany Department VI Computer Science and Media Beuth University of Applied Sciences Berlin Germany Johanna-Etienne-Hospital Neuss Germany Centre for Stroke Research Berlin Charité Universitätsmedizin Berlin Berlin Germany Department of Neurology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany Mind Brain Body Institute Berlin School of Mind and Brain Humboldt University Berlin Berlin Germany Berlin Institute of Health Berlin Germany School of Computing and Digital Technology Faculty of Computing Engineering and the Built Environment Birmingham City University Birmingham United Kingdom QUEST-Center for Transforming Biomedical Research Berlin Institute of Health Charité Universitätsmedizin Berlin Charitéplatz 1 Berlin10117 Germany

Deep learning requires large labeled datasets that are difficult to gather in medical imaging due to data privacy issues and time-consuming manual labeling. Generative Adversarial Networks (GANs) can alleviate these challenges enabling synthesis of shareable data. While 2D GANs have been used to generate 2D images with their corresponding labels, they cannot capture the volumetric information of 3D medical imaging. 3D GANs are more suitable for this and have been used to generate 3D volumes but not their corresponding labels. One reason might be that synthesizing 3D volumes is challenging owing to computational limitations. In this work, we present 3D GANs for the generation of 3D medical image volumes with corresponding labels applying mixed precision to alleviate computational constraints. We generated 3D Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) patches with their corresponding brain blood vessel segmentation labels. We used four variants of 3D Wasserstein GAN (WGAN) with: 1) gradient penalty (GP), 2) GP with spectral normalization (SN), 3) SN with mixed precision (SN-MP), and 4) SN-MP with double filters per layer (c-SN-MP). The generated patches were quantitatively evaluated using the Fréchet Inception Distance (FID) and Precision and Recall of Distributions (PRD). Further, 3D U-Nets were trained with patch-label pairs from different WGAN models and their performance was compared to the performance of a benchmark U-Net trained on real data. The segmentation performance of all U-Net models was assessed using Dice Similarity Coefficient (DSC) and balanced Average Hausdorff Distance (bAVD) for a) all vessels, and b) intracranial vessels only. Our results show that patches generated with WGAN models using mixed precision (SN-MP and c-SN-MP) yielded the lowest FID scores and the best PRD curves. Among the 3D U-Nets trained with synthetic patch-label pairs, c-SN-MP pairs achieved the highest DSC (0.841) and lowest bAVD (0.508) compared to the benchmark

关键词： Generative adversarial networks

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