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Functional plastic films:nano-engineered composite based flexible microwave antennas with near-unity relative visible transmittance

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Light(Advanced Manufacturing) 2024年第2期5卷 95-105页

作者： Cheng Zhang Liang Zhu Chengang Ji Zhilu Ye Nabeel Alsaab Minye Yang Yuhui Hu Pai-Yen Chen L.Jay Guo School of Optical and Electronic Information&Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan430074China Department of Electrical and Computer Engineering University of Illinois at ChicagoChicagoIL 60607USA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA

Microwave antennas are essential elements for various applications,such as telecommunication,radar,sensing,and wireless power *** antennas are conventionally manufactured on rigid substrates using opaque materials,such as metal strips,metallic tapes,or epoxy pastes;thus,prohibiting their use in flexible and wearable devices,and simultaneously limiting their integration into existing optoelectronic ***,we demonstrate that mechanically flexible and optically transparent microwave antennas with high operational efficiencies can be readily fabricated using composite nanolayers deposited on common plastic *** composite nanolayer structure consists of an ultra-thin copper-doped silver film sandwiched between two dielectric films of tantalum pentoxide and aluminum *** material and thickness of each constituent layer are judiciously selected such that the whole structure exhibits an experimentally measured averaged visible transmittance as high as 98.94%compared to a bare plastic substrate,and simultaneously,a sheet resistance as low as 12.5Ω/*** representative types of microwave antennas are implemented:an omnidirectional dipole antenna,unidirectional Yagi-Uda antenna,low-profile patch antenna,and Fabry-Pérot cavity *** devices exhibit great mechanical flexibility with bending angle over 70°,high gain of up to 13.6 dBi,and large radiation efficiency of up to 84.5%.The proposed nano-engineered composites can be easily prepared over large areas on various types of substrates and simultaneously overcome the limitations of poor mechanical flexibility,low electrical conductivity,and reduced optical transparency usually faced by other constituent materials for flexible transparent microwave *** demonstrated flexible microwave antennas have various applications ranging from fifth-generation and vehicular communication systems to bio-signal monitors and wearable electronics.

关键词： Optically transparent antenna Flexible microwave antenna Transparent conductor Ultra-thin silver Doped silver Wearable optoelectronics

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Mapper4Live: Using Control Structures to Embed Complex Mapping Tools into Ableton Live

Mapper4Live: Using Control Structures to Embed Complex Mappi...

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International Conference on New Interfaces for Musical Expression, NIME 2022

作者： Boettcher, Brady Malloch, Joseph Wang, Johnty Wanderley, Marcelo M. Input Devices and Musical Interaction Laboratory CIRMMT McGill University Canada Graphics and Experiential Media Laboratory Faculty of Computer Science Dalhousie University Canada

This paper presents Mapper4Live, a software plugin made for the popular digital audio workstation software Ableton Live. Mapper4Live exposes Ableton’s synthesis and effect parameters on the distributed libmapper signal mapping network, providing new opportunities for interaction between software and hardware synths, audio effects, and controllers. The plugin’s uses and relevance in research, music production and musical performance settings are explored, detailing the development journey and ideas for future work on the project. © 2022, International Conference on New Interfaces for Musical Expression. All rights reserved.

关键词： Mapping

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h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms

h5bench: A unified benchmark suite for evaluating HDF5 I/O p...

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作者： Bez, Jean Luca Tang, Houjun Breitenfeld, Scot Zheng, Huihuo Liao, Wei-Keng Hou, Kaiyuan Huang, Zanhua Byna, Suren Scientific Data Division Lawrence Berkeley National Laboratory BerkeleyCA United States HDF Group ChampaignIL United States Data Science Group Argonne National Laboratory LemontIL United States Electrical and Computer Engineering Department Northwestern University EvanstonIL United States Computer Science Department Northwestern University EvanstonIL United States Department of Computer Science and Engineering The Ohio State University OH United States

Parallel I/O is a critical technique for moving data between compute and storage subsystems of supercomputers. With massive amounts of data produced or consumed by compute nodes, high-performant parallel I/O is essential. I/O benchmarks play an important role in this process;however, there is a scarcity of I/O benchmarks representative of current workloads on HPC systems. Toward creating representative I/O kernels from real-world applications, we have created h5bench, a set of I/O kernels that exercise hierarchical data format version 5 (HDF5) I/O on parallel file systems in numerous dimensions. Our focus on HDF5 is due to the parallel I/O library's heavy usage in various scientific applications running on supercomputing systems. The various tests benchmarked in the h5bench suite include I/O operations (read and write), data locality (arrays of basic data types and arrays of structures), array dimensionality (one-dimensional arrays, two-dimensional meshes, three-dimensional cubes), I/O modes (synchronous and asynchronous). In this paper, we present the observed performance of h5bench executed along several of these dimensions on existing supercomputers (Cori and Summit) and pre-exascale platforms (Perlmutter, Theta, and Polaris). h5bench measurements can be used to identify performance bottlenecks and their root causes and evaluate I/O optimizations. As the I/O patterns of h5bench are diverse and capture the I/O behaviors of various HPC applications, this study will be helpful to the broader supercomputing and I/O community. © 2024 Lawrence Berkeley National laboratory, The HDF Group, UChicago Argonne, LLC and The Authors. Concurrency and Computation: Practice and Experience published by John Wiley & Sons Ltd.

关键词： Supercomputers

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CRP2-VCS: Contrast-Oriented Region-based Progressive Probabilistic Visual Cryptography Schemes

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IEEE Transactions on Circuits and Systems for Video Technology 2025年第6期35卷 5501-5517页

作者： Wu, Xiaotian Song, Bofan Fang, Jia Yan, WeiQi Peng, Qing-Yu Jinan University Guangdong Key Laboratory of Data Security and Privacy Preserving College of Cyber Security College of Information Science and Technology Guangzhou China Auckland University of Technology Department of Computer and Information Systems Auckland New Zealand Jinan University Sino-French Joint Laboratory for Astrometry Dynamics and Space Science Guangzhou China

Most visual cryptography schemes (VCSs) are condition-oriented which implies their designs focus on satisfying the contrast and security conditions in VCS. In this paper, we explore a new architecture of VCS: contrast-oriented region-based progressive probabilistic VCS (CRP2-VCS). The term contrast-oriented indicates the optimality of multi-contrast is taken into consideration when producing shadows. First of all, new requirements for CRP2-VCS, described by probabilities, are introduced. As a non-interference requirement is proposed, the secret interference problem in existing region-based progressive VCS can be avoided. Then, a construction of CRP2-VCS based on a multi-contrast-maximizing model is provided. The multi-contrast-maximizing problem is essentially a probabilistic VCS model that fuses region-based sharing, multi-contrast optimization, and general access structure (GAS) together. Finally, a Max-Min based technique is adopted to solve the multi-objective optimization problem. Moreover, to further boost the visual quality, the proposed method is extended to allow employing XOR operation for image recovery. Experimental results and comparisons are demonstrated to show the effectiveness and advantages, such as optimal visual quality, non-expansible shadow and GAS sharing policy, are provided by the proposed technique. © 2025 IEEE.

关键词： Visualization Cryptography Probabilistic logic Interference Encoding Circuits and systems Polynomials Optimization Minimax techniques Computational modeling

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HyperplaneGAN: a unified consistent translation framework for facial attribute editing

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Multimedia Tools and Applications 2024年 1-25页

作者： Li, Defang Deng, Huiqi Qin, Peng Chen, Weifu Feng, Guocan College of General Education Guangzhou Vocational College of Technology and Business Guangzhou China Department of Computer Science Guangzhou Maritime University Guangzhou China School of Mathematics Sun Yat-sen University Guangzhou China Guangdong Province Key Laboratory Sun Yat-sen University Guangzhou China School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an China

Facial attribute editing has been obtaining remarkable progress as the rapid development in deep generative models. Existing algorithms can be roughly grouped into two distinct categories: attribute-guided models and exemplar-guided models. These models achieve impressive facial attribute editing results, however, there are some limitations. For example, images generated by current attribute-guided models are lack of diversity and attribute styles are not controllable. For exemplar-guided models, low transfer precision and fidelity of generated images are commonly complained issues. In order to generate high-quality attribute-controllable facial images, we propose a novel unified translation framework called HyperplaneGAN which has following advantages: (1) the proposed model can do both attribute-guided facial editing and exemplar-guided facial editing;(2) by employing latent unit swapping and linear separation constraint for learning pair-wise linearly separable disentangled representations, the model can do flexible and controllable translation;(3) cycle-consistency loss and residual attribute vectors are used to guide the model to manipulate specific attributes precisely while other attributes are kept intact. Substantial experimental results demonstrate that HyperplaneGAN outperforms state-of-the-art models on both attribute-guided facial editing and exemplar-guided facial editing, in terms of quantitative evaluation and qualitative evaluation. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Generative adversarial networks

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Attentional Conditional Generative Adversarial Network for Ambient Occlusion Approximation 2nd

Attentional Conditional Generative Adversarial Network for ...

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2nd International Conference on Intelligent Systems and Pattern Recognition, ISPR 2022

作者： Abbas, Fayçal Malah, Mehdi Babahenini, Mohamed Chaouki LESIA Laboratory Computer Science Department University of Abbes Laghrour Khenchela Khenchela Algeria ICOSI Laboratory Computer Science Department University of Abbes Laghrour Khenchela Khenchela Algeria LESIA Laboratory Computer Science Department University of Mohamed Khider Biskra Biskra Algeria

ISBN: (纸本)9783031082764

Ambient occlusion is a method that increases the realism of computer generated images by estimating the reflected illumination in areas where light fails to illuminate them due to occlusions imposed by surrounding objects. In this paper, we introduce a new approach able to generate an approximation of the ambient occlusion, thus estimating the location of soft shadows. Our approach is based on using a conditional generative adversarial network with an attention mechanism to perform a space translation from the input data to the output data space by enforcing the conditioning with an attention mechanism. Our attention module is integrated into the generator architecture and the discriminator to allow the neural network to pay more attention to relevant areas to estimate the location of soft shadows and generate a good approximation of the ambient occlusion. Our method generates images with a satisfactory similarity with the reference method and does not require any pre-processing of the generated image, so it does not perform any computation in the three-dimensional space of the 3D scene. © 2022, Springer Nature Switzerland AG.

关键词： Generative adversarial networks

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Research on the behaviour of Bluetooth Low Energy protocol in the heart rate monitoring application

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Procedia computer science 2023年 225卷 63-69页

作者： Zuzanna Balas Krzysztof Tokarz Bartłomiej Zieliński Tomasz Guźniczak Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

In the paper, the authors check the behaviour of Bluetooth Low Energy protocol in a popular smart wristband and a microcontroller in the heart rate monitoring application. The measurements were collected using a development board with the ESP32 System on Chip. The authors tested measurement period stability and measurement reliability in various conditions.

关键词： Smart wristband Internet of Things Health monitoring Bluetooth Low Energy Wireless data transmission

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Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling 31

Interpretable Modeling of Deep Reinforcement Learning Driven...

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31st International Symposium on Modeling, Analysis, and Simulation of computer and Telecommunication Systems, MASCOTS 2023

作者： Li, Boyang Lan, Zhiling Papka, Michael E. Illinois Institute of Technology Department of Computer Science Chicago United States University of Illinois Chicago Department of Computer Science Chicago United States University of Illinois Chicago Argonne National Laboratory Lemont United States

ISBN: (纸本)9798350319484

In the field of high-performance computing (HPC), there has been recent exploration into the use of deep reinforcement learning for cluster scheduling (DRL scheduling), which has demonstrated promising outcomes. However, a significant challenge arises from the lack of interpretability in deep neural networks (DNN), rendering them as black-box models to system managers. This lack of model interpretability hinders the practical deployment of DRL scheduling. In this work, we present a framework called IRL (Interpretable Reinforcement Learning) to address the issue of interpretability of DRL scheduling. The core idea is to interpret DNN (i.e., the DRL policy) as a decision tree by utilizing imitation learning. Unlike DNN, decision tree models are non-parametric and easily comprehensible to humans. To extract an effective and efficient decision tree, IRL incorporates the Dataset Aggregation (DAgger) algorithm and introduces the notion of critical state to prune the derived decision tree. Through trace-based experiments, we demonstrate that IRL is capable of converting a black-box DNN policy into an interpretable rule-based decision tree while maintaining comparable scheduling performance. Additionally, IRL can contribute to the setting of rewards in DRL scheduling. © 2023 IEEE.

关键词： Decision trees

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Dates Detection System for Automatic Harvesting Using Deep Learning 1

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International Conference on Advanced Intelligent Systems for Sustainable Development, AI2SD 2022

作者： Zarouit, Yousra Aksasse, Brahim Ouhda, Mohamed Department of Computer Science Faculty of Sciences and Technics Moulay Ismail University Errachidia Morocco MAIS Laboratory Department of Computer Science Faculty of Sciences Moulay Ismail University Meknes Meknes Morocco Department of Computer and Mathematics Higher School of Technology Sultan Moulay Slimane University Khenifra Morocco

ISBN: (数字)9783031352485

ISBN: (纸本)9783031352478

An accurate vision system for detecting and analyzing fruit in real-time requires fast and accurate algorithms for object detection. This will allows robotic systems to analyze and process in real-time identically like to the human visual system making them more efficient and cost-effective. However, success in this domain is still limited. No research has addressed the problem of date fruit detection and localization in an orchard environment. The system of our interest is a date fruit-harvesting robot. The robot will detect, analyze and cut the date bunch from the palm tree. In this work, a state of art object detection algorithm, the You Only Look Once version 3 (YOLOv3), is used to solve the detection and localization of date bunches problem. Unstructured agricultural environments with constantly changing light, and shadow, make date fruit detection challenging. Experimental results show the effectiveness of the proposed algorithm to deal with these problems, giving high accuracy. Based on the model output, the robot can detect and locate dates in images to make the harvesting decision. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Harvesting

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Cyber Deception System based on Monte Carlo Simulation in the Mobile Edge Computing (MEC)

Cyber Deception System based on Monte Carlo Simulation in th...

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2023 IEEE International Conference on computer, Information, and Telecommunication Systems, CITS 2023

作者： Kabdjou, Joelle Tagne, Elie Fute Rawat, Danda B. Acosta, Jaime Kamhoua, Charles University of Dschang Department of Mathematics and Computer Science Dschang Cameroon University of Buea Department of Computer Engineering Dschang Buea Cameroon Howard University Department of Electrical Engineering and Computer Science Washington United States Network Security Branch Devcom Army Research Laboratory Adelphi United States

ISBN: (纸本)9798350336092

The frequency of malicious activities by cyber attackers is on the rise, posing a significant challenge to counter cyber attacks in the Mobile Edge Computing (MEC) environment. The vulnerability of wireless networks, which serve as the primary communication media for MEC servers and IoT applications, is due to their open nature of communication. This work proposes a MEC architecture that utilizes Network Function Virtualization (NFV) and Service Function Chain (SFC) to combat cyber adversaries. Additionally, we evaluate the performance of a cyber deception system, which leverages a software-defined networking (SDN) controller and decision- maker to continuously monitor incoming MEC traffic and direct cyber adversaries to a deception MEC server. The deception MEC server collects information about cyber adversaries' intent, capabilities, and potential damage to the system, thus securing legitimate users from cyber attacks. The proposed approach was evaluated using Monte Carlo simulations, and numerous results were obtained which demonstrate the effectiveness of cyber deception in MEC. © 2023 IEEE.

关键词： Network function virtualization

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