作者:
Huang, ZexuXu, MinPerry, Stuart
School of Electrical and Data Engineering University of Technology Sydney UltimoNSW2007 Australia
Recent advancements in 3D reconstruction coupled with neural rendering techniques have greatly improved the creation of photo-realistic 3D scenes, influencing both academic research and industry applications. The tech...
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Terahertz imaging is a groundbreaking technology that has broadened opportunities in non-destructive testing, medical imaging, security screening, and the arts for analyzing ancient artifacts. This study presents a ch...
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ISBN:
(数字)9798350379969
ISBN:
(纸本)9798350379976
Terahertz imaging is a groundbreaking technology that has broadened opportunities in non-destructive testing, medical imaging, security screening, and the arts for analyzing ancient artifacts. This study presents a chipless RFID array specifically designed for THz imaging. The chipless RFID is placed on a phantom containing a rectangular rubber object. A THz waveguide is then directed toward it, scanning 6 points on the phantom. Finally, the target image and its location are reconstructed using the Delay and Sum method.
As the paradigm of wireless communication networks transition from 5G to 6G, integrated sensing and communication (ISAC) has emerged as a pivotal technology for enabling vehicle-to-everything (V2X) connectivity, mobil...
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As the paradigm of wireless communication networks transition from 5G to 6G, integrated sensing and communication (ISAC) has emerged as a pivotal technology for enabling vehicle-to-everything (V2X) connectivity, mobility, and security. However, designing efficient beamforming schemes to achieve accurate sensing and enhance communication performance in the dynamic and uncertain environments of V2X networks presents significant challenges. While artificial intelligence (AI) technologies offer promising solutions, the energy-intensive nature of neural networks imposes substantial burdens on communication infrastructures. To address these challenges, this work proposes an energy-efficient and intelligent ISAC system for V2X networks. Specifically, we first leverage a Markov Decision Process framework to model the dynamic and uncertain nature of V2X networks. This framework allows the roadside unit (RSU) to develop beamforming schemes relying solely on its current sensing state information, eliminating the need for numerous pilot signals and extensive channel state information acquisition. To endow the system with intelligence and enhance its performance, we then introduce an advanced deep reinforcement learning (DRL) algorithm based on the Actor-Critic framework with a policy-clipping technique, enabling the joint optimization of beamforming and power allocation strategies to guarantee both communication rate and sensing accuracy. Furthermore, to alleviate the energy demands of neural networks, we integrate Spiking Neural Networks (SNNs) into the DRL algorithm. By leveraging discrete spikes and their temporal characteristics for information transmission during training and inference, SNNs not only significantly reduce the energy consumption of deploying AI model in ISAC-assisted V2X networks but also further enhance algorithm performance. Extensive simulation results validate the effectiveness of the proposed scheme with lower energy consumption, superior communication
This paper explores using RFID sensing technology to monitor soft skin moisture, enhance skincare routines, and improve health management. The proposed sensor features a curved cylindrical Teflon or Rogers AD 600 core...
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ISBN:
(数字)9798350379969
ISBN:
(纸本)9798350379976
This paper explores using RFID sensing technology to monitor soft skin moisture, enhance skincare routines, and improve health management. The proposed sensor features a curved cylindrical Teflon or Rogers AD 600 core coated with copper film, with a segment removed to create a sensing section. An analysis of the sensor's electric field response and power flow on the skin reveals significant differences in transmitted wave values between dry skin and melanoma in the 76 GHz to 80 GHz range, enabling precise detection of skin moisture levels.
Strong secrecy communication over a discrete memoryless state-dependent multiple access channel (SD-MAC) with an external eavesdropper is investigated. The channel is governed by discrete memoryless and i.i.d. channel...
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This paper presents a frequency-selective surface (FSS) design fabricated by 3D printing techniques and metallization processes. The double-layer spatial filter consists of concentric resonant rings within the hexagon...
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ISBN:
(数字)9788831299107
ISBN:
(纸本)9798350366327
This paper presents a frequency-selective surface (FSS) design fabricated by 3D printing techniques and metallization processes. The double-layer spatial filter consists of concentric resonant rings within the hexagonal unit cells, which alternately generate three passbands and two stopbands with equal fractional bandwidths (FBWs). Each passband or stopband contains two transmission poles and zeros, with sharp transitions in the roll-off regions. The tunability can be achieved by reconfiguring the dielectric insertion plate with varied effective permittivities and thickness profiles.
The development of cloud computing and the widespread application of cloud services have made outsourcing services more convenient. The need for individuals and businesses to store and manipulate the graph data they g...
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In recent years, Sidon spaces have gained great popularity and applications in various fields such as multi-antenna communication systems, distributed storage systems, multimedia transmission, and network coding. With...
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In perceptive mobile networks (PMNs), using 5G New Radio (NR) signals for direct sensing poses a significant challenge to practical implementation due to the high computational complexity involved in estimating sensin...
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This paper highlights the benefits of advanced multi-material 3D printing technology in enhancing the electromagnetic performance of metasurfaces. By systematically evolving geometric structures, the proposed bandpass...
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ISBN:
(数字)9798350379969
ISBN:
(纸本)9798350379976
This paper highlights the benefits of advanced multi-material 3D printing technology in enhancing the electromagnetic performance of metasurfaces. By systematically evolving geometric structures, the proposed bandpass filtering meta-atom outperforms existing designs in key metrics, including bandwidth, out-of-band suppression, in-band insertion loss, and transition band steepness, underscoring the significant potential of 3D unit cells. Through the integration of qualitative approach and semi-analytical design algorithm, the geometric topology is fully optimized without imposing substantial computational demands.
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