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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Lin, Zicheng Zeng, Shuhao Zhang, Hongliang School of Electronic Engineering and Computer Science Peking University Beijing China Princeton University Department of Electrical and Computer Engineering NJ United States School of Electronic and Computer Engineering Peking University Shenzhen Graduate School China School of Electronics Peking University Beijing China

ISBN: (纸本)9798350368369

To satisfy the high data rate requirements, cellular systems will evolve towards the direction of higher carrier frequencies and larger antenna arrays. The conventional phased arrays are hard to fulfill such a vision due to its excessive power consumption induced by numerous phase shifters. To address this issue, Reconfigurable Refractive Surfaces (RRSs) provide a energy efficient solution without relying on phase shifters. With enlarged radiation aperture and increased working frequency, users are more likely to be located in the near field of the RRS. Moreover, the frequency selectivity of the RRS cannot be neglected given the wideband communications enabled by higher frequency bands. These two effects jointly aggravate the beam split problem where the signal strength of different frequency components cannot concentrate on the user, leading to a data rate degradation. In this paper, we study an RRS-based wideband near-field communication system with multiple users. Unlike most existing works, which only considered the beam split effect under near-field conditions, we jointly consider the influence of the frequency selectivity of RRS and near-field conditions on the beam split effect. To mitigate the beam split effect, the time-delay units are introduced in the RRS elements based on which a beamforming scheme is proposed to improve system data rate by jointly optimizing the digital beamformer, the phase shifts of RRS and the time-delay units. Simulation results demonstrate the effectiveness of our proposed scheme. © 2025 IEEE.

关键词： Antenna phased arrays

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FLUID-IoT : Flexible and Fine-Grained Access Control in Shared IoT Environments via Multi-user UI Distribution 24

FLUID-IoT : Flexible and Fine-Grained Access Control in Shar...

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Proceedings of the CHI Conference on Human Factors in Computing Systems

作者： Sunjae Lee Minwoo Jeong Daye Song Junyoung Choi Seoyun Son Jean Y Song Insik Shin School of Computing KAIST Korea Republic of Graduate School of Information Security KAIST Korea Republic of Electrical Engineering and Computer Science DGIST Korea Republic of

ISBN: (纸本)9798400703300

The rapid growth of the Internet of Things (IoT) in shared spaces has led to an increasing demand for sharing IoT devices among multiple users. Yet, existing IoT platforms often fall short by offering an all-or-nothing approach to access control, not only posing security risks but also inhibiting the growth of the shared IoT ecosystem. This paper introduces FLUID-IoT, a framework that enables flexible and granular multi-user access control, even down to the User Interface (UI) component level. Leveraging a multi-user UI distribution technique, FLUID-IoT transforms existing IoT apps into centralized hubs that selectively distribute UI components to users based on their permission levels. Our performance evaluation, encompassing coverage, latency, and memory consumption, affirm that FLUID-IoT can be seamlessly integrated with existing IoT platforms and offers adequate performance for daily IoT scenarios. An in-lab user study further supports that the framework is intuitive and user-friendly, requiring minimal training for efficient utilization.

关键词： Access Control IoT-Security Multi-User IoT UI distribution

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Prior-Guided Parallel Residual Bi-Fusion Network in USV Obstacle Detection

Prior-Guided Parallel Residual Bi-Fusion Network in USV Obst...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chih-Chung Hsu Sophia Yang Xiu-Yu Hou Yu-An Jhang Institute of Data Science National Cheng Kung University Interdisciplinary Program of Electrical Engineering and Computer Science National Tsing Hua University

In this paper, we propose a novel Prior-Guided Parallel Residual Bi-Fusion Feature Pyramid Network (PPRB-FPN) for accurate obstacle detection in unmanned surface vehicle (USV) sailing. Our method tackles the challenge of detecting small objects, which are prone to information vanishing. To the end, we leverage the PRB-FPN for small object detection and YOLOv7 as a single-stage object detector to effectively identify obstacles. Our experimental results on the Obstacle Detection Challenge dataset at the 1st Workshop on Maritime computer Vision (MaCVi) demonstrate that our method outperforms both Mask R-CNN (mrcnn) and YOLOv7, achieving an F_avg score of 0.514.

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Past,present and future of indium phosphide quantum dots

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Nano Research 2022年第5期15卷 4468-4489页

作者： Houman Bahmani Jalali Sadra Sadeghi Itir Bakis Dogru Yuksel Asim Onal Sedat Nizamoglu Graduate School of Biomedical Science and Engineering KoçUniversityIstanbul 34450Turkey Department of Electric and Electronics Engineering KoçUniversityIstanbul 34450Turkey Department of Material Science and Engineering KoçUniversityIstanbul 34450Turkey Present address:Photonic Nanomaterials Group Istituto Italiano di TecnologiaGenova 16124Italy Present address:Department of Electrical and Computer Engineering Queen's UniversityKingston K7L 3N6Canada Present address:Nanophotonics Group Debye Institute for Nanomaterials ScienceUtrecht UniversityUtrecht 3508 TAThe Netherlands

Indium phosphide(InP)colloidal quantum dots(QDs)have been drawn significant attention as a potentially less toxic alternative to cadmium-based QDs over the past two *** advances in their colloidal synthesis methods have allowed for the synthesis of a wide variety of compositions,heterojunctions,dopants,and ligands that enabled spectral tunability from blue to near-infrared,narrow emission linewidths,and perfect quantum yields approaching ***,it has higher covalency compared to cadmium chalcogenides leading to improved optical *** state-of-the-art InP QDs with appealing optical and electronic properties have excelled in many applications such as light-emitting diodes,luminescent solar concentrators(LSCs),and solar cells with high potential for *** review focuses on the history,recent development,and future aspect of synthesis and application of colloidal InP QDs.

关键词： indium phosphide InP quantum dot nanocrystal synthesis colloidal doping

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Innovative Colormap for Emphatic Imaging of Human Voice for UAV-Based Disaster Victim Search

Innovative Colormap for Emphatic Imaging of Human Voice for ...

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IEEE Region 10 Symposium

作者： Tomoki Furusawa Chinthaka Premachandra Electrical Engineering and Computer Science Graduate School of Engineering and Science Shibaura Institute of Technology Tokyo Japan Department of Electronic Engineering School of Engineering Shibaura Institute of Technology Tokyo Japan

Unmanned aerial vehicles (UAVs) are being utilized for damage assessment in natural disasters and for search and rescue operations. Currently, the search for victims primarily relies on analyzing images captured by cameras mounted on UAVs. However, this approach has limitations when it comes to locating victims who are not within the camera's field of view. As a result, sound-based search methods are being considered. In this method, a voice message is transmitted to the disaster area through a speaker mounted on a UAV, and the presence of victims is confirmed by detecting their response using the onboard microphone of the UAV. Nevertheless, the UAV's microphone captures both the sound of the victim and the propeller rotation, posing a significant challenge in extracting the victim's voice from this combined audio. To address this issue, we propose a solution that involves generating spectrogram images of the sound mixture and the propeller sound, and extracting the human sound by subtracting them. We found that the conventional colormap was ineffective in emphasizing the human sound in the spectrogram images. To overcome this limitation, this paper introduces a new colormap based on the normal distribution. This colormap enhances human voices while attenuating propeller sounds by adjusting the mean and variance. Through the results of our experiments, we confirm that the proposed colormap effectively reduces propeller sound interference in the sound mixing and simultaneously emphasizes the voice of a disaster victim. By utilizing the proposed colormap, it becomes possible to visualize the victim's voice from the audio mixture acquired by the UAV's onboard microphone, enabling the identification of the victim.

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Modeling Atomistically Assembled Diffractive Optics in Solids

arXiv

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arXiv 2024年

作者： Kling, Trevor Na, Dong-Yeop Hosseini, Mahdi Department of Electrical and Computer Engineering Applied Physics Program Northwestern University EvanstonIL60208 United States Department of Electrical Engineering Pohang University of Science and Technology Pohang37673 Korea Republic of Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

We develop a model describing long-range atom-atom interactions in a two-dimensional periodic or a-periodic lattice of optical centers inside a solid-state host material. We consider realistic environmental and technical conditions such as frequency and position broadening. Even when considering a significant frequency broadening in the ensemble (∼300 GHz), we observe up to a three-fold increase in directional scattering from the resonant lattice in a system. The model can be used to scalably design quantum optical elements, e.g. a quantum lens, harnessing atomistic engineering (e.g. via ion implantation) of collective interactions in materials to enhance quantum properties. © 2024, CC BY.

关键词： Nanocrystals

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Super-Mossian Dielectrics for Nanophotonics

Super-Mossian Dielectrics for Nanophotonics

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Conference on Lasers and Electro-Optics (CLEO)

作者： Xielin Wang Chloe F. Doiron Zhichao Li Jacob B. Khurgin Gururaj V. Naik Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston TX Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD Department of Electrical and Computer Engineering Rice University Houston TX

Searching for high-index dielectrics, we identify materials that break the index upper bound set by Moss’ rule. We highlight the promise of such super-Mossian materials by demonstrating nanophotonic devices made of F... 详细信息

ISBN: (纸本)9781957171258

关键词： Fourier transform infrared spectroscopy Nanophotonics Optical constants Optical materials Refractive index Whispering gallery modes

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Compaction of Fault Dictionary without Degrading Diagnosis Ability 36

Compaction of Fault Dictionary without Degrading Diagnosis A...

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36th International Technical Conference on Circuits/Systems, computers and Communications, ITC-CSCC 2021

作者： Higami, Yoshinobu Nakamura, Tomokazu Inamoto, Tsutomu Wang, Senling Takahashi, Hiroshi Saluja, Kewal K. Graduate School of Science and Engineering Ehime University Japan University of Wisconsin - Madison Department of Electrical and Computer Engineering United States

ISBN: (纸本)9781665435536

Use of a fault dictionary is an effective and efficient method for deducing candidate faults during fault diagnosis process. It contains output responses for every test pattern and every target fault, and therefore the size of the fault dictionary for large LSIs tends to be very large. This paper proposes methods for compacting a fault dictionary without loss of diagnosis ability. We assume that output responses are compacted by an XOR tree compactor, and we investigate how we make the groups of primary outputs for which values are compacted by XOR operation. The methods introduce measures that are based on the number of distinguished fault pairs and the number of detecting test patterns. The effectiveness of the proposed methods is demonstrated by conducting experiments on a number of benchmark circuits. © 2021 IEEE.

关键词： Fault detection

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AV Navigation in 3D Urban Environments with Curriculum-based Deep Reinforcement Learning

AV Navigation in 3D Urban Environments with Curriculum-based...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Kevin Braathen de Carvalho Iure Rosa L. de Oliveira Alexandre S. Brandão Department of Electrical Engineering Graduate Program in Computer Science Nucleus of Specialization in Robotics Universidade Federal de Viçosa Viçosa MG Brazil Department of Electrical Engineering Federal University of Viçosa Viçosa MG Brazil

Unmanned Aerial Vehicles (UAVs) are widely used in various applications, from inspection and surveillance to transportation and delivery. Navigating UAVs in complex 3D environments is a challenging task that requires robust and efficient decision-making algorithms. This paper presents a novel approach to UAV navigation in 3D environments using a Curriculum-based Deep Reinforcement Learning (DRL) approach. The proposed method utilizes a deep neural network to model the UAV’s decision-making process and to learn a mapping from the state space to the action space. The learning process is guided by a reinforcement signal that reflects the performance of the UAV in terms of reaching its target while avoiding obstacles and with energy efficiency. Simulation results show that the proposed method has a positive trade off when compared to the baseline algorithm. The proposed method was able to perform well in environments with a state space size of 22 millions, allowing the usage in big environments or in maps with high resolution. The results demonstrate the potential of DRL for enabling UAVs to operate effectively in complex environments.

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Characteristic Mode Analysis of Nanostructures using Hydrodynamic Volume Integral Equation

Characteristic Mode Analysis of Nanostructures using Hydrody...

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Antennas and Propagation & USNC/URSI National Radio science Meeting

作者： Meruyert Khamitova Ran Zhao Doolos Aibek uulu Hakan Bagci Electrical and Computer Engineering (ECE) Program Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia School of Electronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China Department of Mathematics and Natural Sciences University of Central Asia (UCA) Naryn Kyrgyzstan

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

The characteristic mode analysis (CMA) is formulated and implemented for the hydrodynamic volume integral equation (HDVIE) that is used to mathematically model electromagnetic field interactions and conduction current dynamics on nanoantennas and nanoscatterers. The proposed method produces excitation-independent characteristic hydrodynamic currents and the corresponding modal significance curves, providing useful information that can be used to optimize the performance of a nanoantenna. Numerical results demonstrate the reliability and the applicability of the proposed approach.

关键词： Solid modeling Nanoantennas Integral equations Hydrodynamics Mathematical models Characteristic mode analysis Numerical models

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