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17th International Congress on Artificial materials for Novel Wave Phenomena, Metamaterials 2023

作者： Pitilakis, A. Tsilipakos, O. Tasolamprou, A.C. Tsioliaridou, A. Kantartzis, N.V. Ioannidis, S. Kafesaki, M. Liaskos, C. Foundation for Research and Technology Hellas Institute of Computer Science Heraklion71110 Greece Aristotle University of Thessaloniki School of Electrical and Computer Engineering Thessaloniki54124 Greece National Hellenic Research Foundation Theoretical and Physical Chemistry Institute Athens11635 Greece Foundation for Research and Technology Hellas Institute of Electronic Structure and Laser Heraklion71110 Greece National and Kapodistrian University of Athens Department of Physics Athens15784 Greece Technical University of Crete School of Electrical & Computer Engineering Chania73100 Greece University of Crete Department of Materials Science and Technology Heraklion70013 Greece University of Ioannina Computer Science and Engineering Department Ioannina45110 Greece

ISBN: (纸本)9798350332445

We present a scalable printed-circuit board (PCB) based reconfigurable metasurface (MS) architecture that can be used for complete wavefront manipulation in both polarizations. The operation relies on local control of the complex reflection coefficient in each cell and is enabled by lumped varactor and varistor loading elements assembled on the PCB. We design a unit cell for operation in the mmWave spectrum of 5G communications (28 GHz), evaluate its performance, and map its tunable lumped element configuration to the attained complex reflection coefficient. Finally, we study an MS-enabled programmable wireless environment for indoor communications that can be extended to imaging or holography. © 2023 IEEE.

关键词： Printed circuit boards

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ConvNeXt Model for Breast Cancer Image Classification

ConvNeXt Model for Breast Cancer Image Classification

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Devin Setiawan Andrea Stevens Karnyoto Indo Intan Bens Pardamean Department of Electrical Engineering and Computer Science University of Kansas Lawrence United States Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Informatics Engineering Universitas Dipa Makassar Makassar Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

Breast cancer is an occurrence of cancer that attacks breast tissue and is the most common cancer among women worldwide, affecting one in eight women. In this modern world, breast cancer image classification simplifies the process of analyzing, providing objective and accurate results. By leveraging machine learning algorithms and computer vision techniques, we developed breast cancer detection. The dataset is histopathology dataset from BreakHis and UNHAS Hospital. We chose the ConvNeXt-Tiny model then modified the classifier head as the proposed method. Before the dataset is processed by the model, we augment the images by applying random horizontal and vertical flips, adjustments to brightness, contrast, saturation, and hue using color jitter. The augmentation process simulates real-world variance and enhances the model's ability to generalize to unseen data. Our proposed model gained better performance (accuracy, F1-Score) results compared two other techniques to VGG16 and SVM. According to our experiments, the F1-Score for the ConvNeXt-Tiny model with classifier head modification is higher at 0.9516, than the gain for VGG16 at 0.9292, and the gain for the SVM at 0.83.

关键词： Support vector machines Accuracy Head Computational modeling Transfer learning Breast cancer Magnetic heads Data models Reliability Image classification

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An on-chip platform for multi-degree-of-freedom control of two-dimensional quantum and nonlinear materials

An on-chip platform for multi-degree-of-freedom control of t...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Tang, Haoning Wang, Yiting Ni, Xueqi Watanabe, Kenji Taniguchi, Takashi Fan, Shanhui Mazur, Eric Yacoby, Amir Cao, Yuan School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States National Institute for Materials Science Namiki 1-1 Ibaraki Tsukuba305-0044 Japan Department of Applied Physics Ginzton Laboratory Stanford University StanfordCA94305 United States

ISBN: (纸本)9781957171395

We introduce the first on-chip, microelectromechanical system for the in situ tuning of twisted 2D materials, enabling tunable interfacial properties, synthetic topological singularities, and adjustable-polarization light sources for advanced quantum material manipulation in 2D-3D devices. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Degrees of freedom (mechanics)

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Expanding the Surgical Robotics Community: An Intuitive Sim-to-Real Control Framework for Raven-II with a Budget-Friendly Gamepad Controller

Expanding the Surgical Robotics Community: An Intuitive Sim-...

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International Symposium on Medical Robotics (ISMR)

作者： Mai Bui Natalie Chalfant Cuiling Sun Sean Fabrega Haonan Peng Kevin Huang Yun-Hsuan Su Department of Computer Science Mount Holyoke College South Hadley MA Department of Electrical and Computer Engineering University of Washington Seattle WA Picker Engineering Program Smith College Northampton MA

ISBN: (数字)9798350377118

ISBN: (纸本)9798350377125

This paper proposes a low-cost interface and refined digital twin for the Raven-II surgical robot. Previous simulations of the Raven-II, e.g. via the Asynchronous Multibody Framework (AMBF), presented salient drawbacks, including control inputs inconsistent with Raven-II software, and lack of stable, high-fidelity physical contact simulations. This work bridges both of these gaps, both (1) enabling robust, simulated contact mechanics for dynamic physical interactions with the Raven-II, and (2) developing a universal input format for both simulated and physical platforms. The method furthermore proposes a low cost, commodity game-controller interface for controlling both virtual and real realizations of Raven-II, thus greatly reducing the barrier to access for Raven-II research and collaboration. Overall, this work aims to eliminate the inconsistencies between simulated and real representations of the Raven-II. Such a development can expand the reach of surgical robotics research. Namely, providing end-to-end transparency between the simulated AMBF and physical Raven-II platforms enables a software testbed previously unavailable, e.g. for training real surgeons, for creating digital synthetic datasets, or for prototyping novel architectures like shared control strategies. Experiments validate this transparency by comparing joint trajectories between digital twin and physical testbed given identical inputs. This work may be extended and incorporated into recent efforts in developing modular or common software infrastructures for both simulation and control of real robotic devices, such as the Collaborative Robotics Toolkit (CRTK).

关键词： Training Medical robotics Costs Collaboration Surgery computer architecture Software

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Measurement of Muscle Stimulation and Hot Compression for Rehabilitation 3

Measurement of Muscle Stimulation and Hot Compression for Re...

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3rd International Conference on electrical, Communication and computer engineering, ICECCE 2021

作者： Chirakanphaisarn, Neramitr Thongkanluang, Thadsanee Thammasat University Faculty of Engineering Department of Electrical and Computer Engineering Thailand Suratthani Rajabhat University Program in Materials Technology Manufacturing Faculty of Science and Technology Thailand

ISBN: (纸本)9781665438971

This research is to study the electric muscle stimulation system and hot compress. As well as focusing on building tools for applications in rehabilitation medicine and physical therapy. The neuromuscular system is an important mechanism in human life. In the event that the muscles are stressed or contracted while the subject is recovering, the need for recovery and stimulation tools is an important part of the physical therapy. We designed electrical circuits for automatic control and used an ARDUINO microcontroller to connect analog and digital ports to transmit and receive clinical parameters. The number of voluntary subjects was 20. Each subject remembered to perform 5 stimulation sessions for 10 minutes. Total period that the researcher collects data is approximately 3 months. The trials were based on ethical studies in humans, where trials and researches showed that subjects were 980% satisfied with very few side effects, and subjects had improved muscle development. © 2021 IEEE.

关键词： Muscle

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光谱特征关联性分析用于研究CVD生长的单层二硫化钨非均匀性机制

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science China materials 2023年第10期66卷 3949-3957页

作者：苏立钦余一飞曹林友张勇 College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Electrical and Computer Engineering The University of North Carolina at CharlotteCharlotteNC 28223USA Department of Materials Science and Engineering North Carolina State UniversityRaleighNC 27695USA

化学气相沉积(CVD)已被证明是生产二维材料(包括二硫化钨(WS_(2)))最有效的方法.然而,CVD生长的WS_(2)单层中存在的应变、掺杂和缺陷的不均匀性会显著影响材料的光学和电子特性,从而影响其器件应用.在本研究中,我们通过CVD方法在蓝宝石... 详细信息

化学气相沉积(CVD)已被证明是生产二维材料(包括二硫化钨(WS_(2)))最有效的方法.然而,CVD生长的WS_(2)单层中存在的应变、掺杂和缺陷的不均匀性会显著影响材料的光学和电子特性,从而影响其器件应用.在本研究中,我们通过CVD方法在蓝宝石衬底上生长了介观尺寸的三角形单层WS_(2),并利用空间分辨的显微拉曼和光致发光(PL)光谱技术系统地表征了单层WS_(2)中的应变、掺杂和非辐射缺陷中心的不均匀性.我们从全域(整个单层WS_(2)三角形)和分区域(如顶点、边缘、中心)两个维度对其拉曼和PL光谱的相关参数(即峰值位置、强度和半峰宽)随位置的变化进行了相关性分析,发现单层WS_(2)三角形的不同区域往往表现出明显不同的应变、掺杂和缺陷状态.这项研究揭示并解释了单层WS_(2)应变、掺杂和缺陷的不均匀性.此外,我们发现当介观尺寸的三角形结构扩展到连续薄膜时,不均匀性大大降低.我们的工作表明,对光谱特征的相关性分析并辅以对物理机制的了解有助于全面理解材料生长带来的不均匀性,并为优化二维材料的生长过程和器件加工提供指导.

关键词： tungsten disulfide Raman spectroscopy photoluminescence chemical vapor deposition

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Prediction of DHF (Dengue Hemorrhagic Fever) Severity Using Random Forest, KNN, Decision Tree and Naïve Bayes 7

Prediction of DHF (Dengue Hemorrhagic Fever) Severity Using ...

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7th IEEE International Conference on Information Technology and Digital Applications, ICITDA 2022

作者： Pohan, Husni Iskandar Suparta, Wayan Heryadi, Yaya Wibowo, Antoni Lukas Bina Nusantara University Binus Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Institut Teknologi Nasional Yogyakarta Department of Electrical Engineering Yogyakarta55281 Indonesia Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta12930 Indonesia

ISBN: (数字)9781665461368

ISBN: (纸本)9781665461368

Dengue Hemorrhagic Fever is an acute viral infectious disease caused by the dengue virus. Transmitted through the bite of Aedes Mosquitoes and divided into 4 severity. Severity 1 and 2 are characterized by a decrease in platelet levels below normal and there is a change in hemoconcentration, while Severity 3 and 4 are included in Dengue Shock Syndrome (DSS). The purpose of the study was to classify the severity of dengue, based on age, gender, platelets, body temperature, bleeding, and also doctor's recommendation. The advancement of information technology is the reason for the development of medical science, especially with artificial intelligence. Abundant medical data becomes a source that can be processed in improving the quality of medical information. The method chosen is Random Forest, kNN, Decision Tree and Naïve Bayes. The dataset used is the medical records of all DHF patients for 30 months in the period Jan 2019 to June 2021, at the Nadhifa Al Ghiffari Clinic in Bojongsoang District, Bandung Regency. © 2022 IEEE.

关键词： Decision trees

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Micromachined Flexible Silicon Solar Cells as a Power Supply for Smart Contact Lenses 21

Micromachined Flexible Silicon Solar Cells as a Power Supply...

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21st International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2022

作者： Pourshaban, Erfan Karkahnis, Mohit U. Deshpande, Adwait Hasan, Md. Rabiul Rock, Nathan D. Banerjee, Aishwaryadev Ghosh, Chayanjit Kim, Hanseup Mastrangelo, Carlos H. University of Utah Department of Electrical and Computer Engineering Salt Lake CityUT84112 United States University of Utah Department of Materials Science and Engineering Salt Lake CityUT84112 United States

ISBN: (纸本)9781665493062

This article reports the fabrication, characterization, implementation, and microsystem integration of micromachined flexible silicon solar cells to supply electric power to smart contact lenses. Single silicon solar cell shows the open circuit voltage (Voc) of 0.5 and 0.55 V Under indoor and outdoor lighting conditions, respectively. The Voc enhanced to 1.25 and 1.65 V after making series connections between three cells. The maximum power output of 50 μW and 2.7 mW are recorded under indoor and outdoor lighting conditions. Furthermore, a power management IC is used to boost up the voltage to 3.3 V and efficiently store or use the generated energy. © 2022 IEEE.

关键词： Open circuit voltage

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Passive frequency-conversion imaging from the near-infrared to the visfble

Passive frequency-conversion imaging from the near-infrared ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Feng, Demeng Hamid, Rabeeya Belliveau, Emma Hu, Manchen Narayanan, Pournima Salman, Jad Wan, Chenghao Rubio-Perez, Bryan E. Congreve, Daniel N. Kats, Mikhail A. Department of Electrical and Computer Engineering University of Wisconsin-Madison MadisonWI53706 United States Department of Electrical Engineering Stanford University StanfordCA94305 United States Department of Chemistry Stanford University StanfordCA94305 United States Department of Materials Science and Engineering University of Wisconsin-Madison MadisonWI53706 United States Department of Physics University of Wisconsin-Madison MadisonWI53706 United States

We demonstrate a passive frequency-conversion imaging system that converts near-infrared images into visible images, enabling near-infrared imaging with the naked eye or a conventional visible camera. © Optica Pu... 详细信息

ISBN: (纸本)9781957171258

关键词： Infrared devices

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Atomic Insights into Strain-Induced Nanoscopic Compositional Fluctuation in AlGaN Quantum Well Epitaxy

SSRN

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SSRN 2025年

作者： Huang, Chia-Yen Chao, Ying-Chun Huang, Cheng-Yao Yen, Hung-Wei Department of Photonics College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Materials Science and Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei Taiwan Department of Materials Science and Engineering

Two identical UVC light-emitting diode AlGaN epitaxy were grown on high-quality AlN buffer layers with different strain states. We characterized the AlGaN epi by high-resolution scan transmission electron microscopy (HR-STEM) and atom probe tomography (APT). Geometry phase analysis with HR-STEM revealed the sample grown on the more compressively strained template possesses a more pronounced local lattice constant distortion in the multiple-quantum-well (MQW) region. APT further verified the local lattice distortion originated from the strain-induced Ga segregation in the MQW. The comparative compositional analysis revealed the nanoscopic compositional fluctuation favors further incorporation of Ga during epitaxial growth, which triggered the AlGaN growth front destabilization and new defect nucleation. The 1-D composition profiling from both electron dispersive microscopy and APT suggested nitrogen desorption during the AlGaN stress relaxation. © 2025, The Authors. All rights reserved.

关键词： Stress relaxation

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