mmWave networks offer wide bandwidth for high-speed wireless communication but suffer from limited range and susceptibility to blockage. Existing coverage provisioning solutions not only incur high costs also require significant expert knowledge manual efforts. In this paper, we present AutoMS, an automated service framework optimize by strategically designing placing low-cost passive metasurfaces. Our approach consists of three key components: (1) joint optimization metasurface phase...

Microwave ovens have become an essential cooking appliance owing to their convenience and efficiency. However, microwave suffer from uneven distribution of energy, which causes prolonged delays, unpleasant experiences, even safety concerns. Despite significant research efforts, current solutions remain inadequate. In this paper, we first conduct measurement studies understand the energy for 10 show in both 2D 3D is very skewed, with notably lower levels at center cavity, where food commonly...

Contactless acoustic sensing has been actively exploited in the past few years to enable a large range of applications, ranging from fine-grained vital sign monitoring coarse-grained human tracking. However, existing systems mainly work on smartphone or smart speaker platforms. In this paper, we envision an exciting new platform, i.e., car cabin which is inherently embedded with number speakers and microphones. We propose concept distributed develop novel designs leveraging unique...

This paper introduces a novel multi-directional speaker, named MuDiS, which utilizes parametric array to generate highly focused sound beams in multiple directions. The system capitalizes on air nonlinearity reproduce from ultrasounds, successfully overcoming challenges inherent traditional arrays, such as transducer size and wavefront shape. It supports three important features simultaneously: independent beams, wide-angle digital steering, unintended leakage suppression. To address these...

Acoustic imaging is attractive due to its ability work under occlusion, different lighting conditions, and privacy-sensitive environments. Existing acoustic methods require large transceiver arrays or device movement, which makes it challenging use in many scenarios. In this paper, we develop a novel system for low-cost devices with few speakers microphones without any movement. To achieve goal, leverage 3D-printed passive metasurface significantly enhance the diversity of measurement data,...

Web is increasingly becoming the primary platform to deliver AI services onto edge devices, making in-browser deep learning (DL) inference more prominent. Nevertheless, heterogeneity of combined with underdeveloped state hardware acceleration practices, hinders current from achieving its full performance potential on target devices.

Dynamic sparsity, where the sparsity patterns are unknown until runtime, poses a significant challenge to deep learning. The state-of-the-art sparsity-aware learning solutions restricted pre-defined, static due overheads associated with preprocessing. Efficient execution of dynamic sparse computation often faces misalignment between GPU-friendly tile configuration for efficient and shape that minimizes coverage wastes (non-zero values in tensor).

Low Earth Orbit (LEO) satellite communication is essential for wireless communication. While manufacturing and launching LEO satellites have become efficient cost-effective, ground stations remain expensive due to complex designs handling severe path losses precise beam tracking. Hence, it important develop low cost high-performance widespread adoption of Towards realizing this goal, we design a passive metasurface-enhanced station system, named PMSat, combining metasurface's fine-grained...

In recent years, the rapid aging of global population has led to an increase in cognitive disorders, such as Alzheimer's disease, presenting significant public health challenges. Although no effective treatments currently exist reverse Alzheimer's, prevention and early intervention, including training, are critical. This report explores potential AI chatbots enhancing personalized training. We introduce ReMe, a web-based framework designed create that facilitate training research,...

Channel estimation is critical to millimeter-wave capability. Unlike sub-6 GHz WiFi, commercial-off-the-shelf 60 WiFi devices adopt a single RF-chain and can only report the combined received signal strength (RSS) instead of antenna-wise channel state information (CSI). Therefore, recovering CSI using limited number RSS measurements important but faces following challenges: (i) solving non-convex objective hard computationally heavy, (ii) error high with insufficient measurements, (iii)...

The Proceedings of the ACM on Networking (PACMNET) series present highest-quality research conducted in areas emerging computer networks and their applications. We encourage submissions that new technologies, novel experimentation, creative use networking insights made possible using analysis. journal is strongly supported by Special Interest Group Communications Computer Networks (SIGCOMM) involves top-level researchers its Editorial Board. This issue contains four papers submitted for June...

Efficient fine-tuning plays a fundamental role in modern large models, with low-rank adaptation emerging as particularly promising approach. However, the existing variants of LoRA are hampered by limited expressiveness, tendency to overfit, and sensitivity hyperparameter settings. This paper presents Slow Cascade Learning (LoRASC), an innovative technique designed enhance LoRA's expressiveness generalization capabilities while preserving its training efficiency. Our approach augments through...

Sensing technology is widely used for comprehending the physical world, with numerous modalities explored in past decades. While there has been considerable work on multi-modality learning, they all require data of be paired. How to leverage partially pairings remains an open problem. To tackle this challenge, we introduce Babel framework, encompassing neural network architecture, preparation and processing, as well training strategies. serves a scalable pre-trained multi-modal sensing...

Abstract This study utilizes experimental and microscopic characterization methods to investigate the prospects feasibility of using Injection Over-Molding (IOM) process replace traditional adhesives in manufacturing complex ribbed panel structures with Polyether Ether Ketone (PEEK) composites. The results indicate that IOM can achieve optimal bonding strength while significantly reducing processing cycle, demonstrating substantial potential. Additionally, enhancing melt temperature mold...

Cloud gaming is a multi-billion dollar industry. A client in cloud sends its movement to the game server on Internet, which renders and transmits resulting video back. In order provide good experience, latency below 80 ms required. This means that rendering, encoding, transmission, decoding, displaying have finish within time frame, especially challenging achieve due overload, network congestion, losses. this paper, we propose VIGOR, new method revive sessions by recovering lost or corrupted...

Global Navigation Satellite System (GNSS) is extensively utilized for outdoor positioning and navigation. However, achieving high-precision indoor challenging due to the significant attenuation of GNSS signals indoors. To address this issue, we propose an innovative system called GPMS, which uses passive metasurface technology redirect from outdoors into spaces. These metasurfaces are strategically optimized coverage by steering scattering across a wide range incident angles. We further...

Microwave ovens have become an essential cooking appliance owing to their convenience and efficiency. However, microwave suffer from uneven distribution of energy, which causes prolonged delays, unpleasant experiences, even safety concerns. Despite significant research efforts, current solutions remain inadequate. In this paper, we first conduct measurement studies understand the energy for 10 show in both 2D 3D is very skewed, with notably lower levels at center cavity, where food commonly...

The past decade has witnessed a surge of interest in human respiration sensing with various wireless signals to achieve at-home smart health. While promising many aspects, two critical limitations still exist: a) dedicated signal transmitters are needed; b) existing schemes affect the original function technology such as communication. In this demo, we present GPSense Respiration system, new kind contact-free system that breaks above limitations. operates by receiving and analyzing GNSS...

Wireless sensing is gaining increasing attention from both academia and industry. Various wireless signals, such as Wi-Fi, UWB, acoustic have been leveraged for sensing. While promising in many aspects, two critical limitations still exist: a) limited coverage; b) the requirement dedicated which may interfere with original function of technology. To address these issues, we propose to utilize GPS signals sensing, are already pervasive emitted satellites 24/7 at pre-allocated frequency bands,...