Tootfinder

heise | heise Update vom 20. Juni 2025: Lesetipps fürs Wochenende
Der wöchentliche Newsletter mit Remote-Katzenbetreuung, E-Bike-Motor, Mac-Speicher befreien, Open Source statt Abhängigkeit, Google-KI-Suche, Solaranlagen-Talk

Voorlopig even Google contacten en kalender maar even verhuisd naar:
Deploy Software for your Remote Team | TAB.DIGITAL
https://tab.digital/
Die gratis 8Gb is voor mij meer dan genoeg en is vooral bedoeld voor bestands uitwisseling. De upload van 5G is nou eenmaal niet zo snel.
Voorlopig …

Hier eine Aufgabe für erfahrene #OSM Mapper: Radinfrastruktur mappen in Berlin, es gibt sogar Bezahlung dafür:
https://community.openstreetmap.org/t/

Leute gesucht für bezahltes Radinfrastruktur-Mapping (Remote)
Hallo! Nachdem wir kürzlich um Hilfe gesucht haben um Parkraum in Berlin zu erfassen, freuen wir uns den Zuschlag für ein weiteres Projekt zur Datenerfassung – diesmal geht es um Radinfrastruktur-Daten – in Berlin bekommen zu haben. Auch für diese Projekt suchen wir Hilfe aus der Community im Rahmen von bezahlten Mapping-Aufgaben: Radinfrastruktur in Berlin erfassen Bei diesem Projekt wird es darum gehen, entlang des Vorrangnetzes für den Radverkehr die Rad- und Straßen-Infrastrukt…

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach
Wenqi Guan, Yang Fang
https://arxiv.org/abs/2506.15512

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach
Large Language Models have brought a radical change in the process of remote learning students, among other aspects of educative activities. Current retrieval of remote learning resources lacks depth in contextual meaning that provides comprehensive information on complex student queries. This work proposes a novel approach to enhancing remote learning retrieval by integrating GPT-based models within the LangChain framework. We achieve this system in a more intuitive and productive manner using…

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
Tobias Kerbl, David Brecht, Nils Gehrke, Nijinshan Karunainayagam, Niklas Krauss, Florian Pfab, Richard Taupitz, Ines Trautmannsheimer, Xiyan Su, Maria-Magdalena Wolf, Frank Diermeyer
https://arxiv.org/abs/2506.13933

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
Teleoperation is a key enabler for future mobility, supporting Automated Vehicles in rare and complex scenarios beyond the capabilities of their automation. Despite ongoing research, no open source software currently combines Remote Driving, e.g., via steering wheel and pedals, Remote Assistance through high-level interaction with automated driving software modules, and integration with a real-world vehicle for practical testing. To address this gap, we present a modular, open source teleoperat…

Researchers say the impact of feral cats on native species is greater than previously thought.
https://www.abc.net.au/news/2025-04-22/feral-cats-killing-more-native-species-than-estimated/105197140

DNA study shows feral cats killing more reintroduced native species than estimated
Research tracking released bilbies and bettongs in remote SA has found feral cats are their biggest killer.  

Sonnet 044 - XLIV
If the dull substance of my flesh were thought,
Injurious distance should not stop my way;
For then despite of space I would be brought,
From limits far remote, where thou dost stay.
No matter then although my foot did stand
Upon the farthest earth remov'd from thee;
For nimble thought can jump both sea and land,
As soon as think the place where he would be.
But, ah! thought kills me that I am not thought,
To l…

There needs to be a TUI for Home Assistant. It would improve remote access, and it would look dope as fuck.

"An Australian study, conducted over four years and starting before the pandemic, has come up with some enlightening conclusions about the impact of working from home. The researchers are unequivocal: this flexibility significantly improves the well-being and happiness of employees, transforming our relationship with work."

2025 und ich muss hier seit über 2h in der Hausarztpraxis warten damit mir die Ärztin dann 2 Werte von einem Zettel abliest. Es geht um den 3jährlichen ü35 checkup.
Wieso geht das mittlerweile nicht remote? Die machen keine Untersuchungen oder so.
Stattdessen muss ich mir hier von Boomern ins Gesicht husten lassen. ffs
(Bin natürlich der einzige mit Maske)

Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
Pranjal Naman, Yogesh Simmhan
https://arxiv.org/abs/2506.12425 https://

Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
Graph Neural Networks (GNNs) have experienced rapid advancements in recent years due to their ability to learn meaningful representations from graph data structures. Federated Learning (FL) has emerged as a viable machine learning approach for training a shared model on decentralized data, addressing privacy concerns while leveraging parallelism. Existing methods that address the unique requirements of federated GNN training using remote embeddings to enhance convergence accuracy are limited by…

Linux, MacOS... Still have to do a bit more work to get a native (non virtualized) ngscopeclient test environment working on every major platform but it's progress.

I've been 'working-from-home' for 30yrs. Microsoft has enabled WFH since I joined in 1995 via Remote Access Services/RAS - over dial-up or ISDN.
This was a Microsoft strength: No one was ever out of touch or "off work hours". We all had laptops, cellphones, pagers, MCI concall accounts & ISDN lines at home. Everyone was "on" all the time. And we liked it.
✅ Flexible Work Was The Promise. The Infinite Workday Is The Reality. - Fobes

Flexible Work Was The Promise. The Infinite Workday Is The Reality.
New research from Microsoft reveals the rise of the infinite workday. Find out why flexibility is not enough and how to fix our broken rhythm on the clock.

Prominence material observed by SoloHI beyond 0.5au
C. Mac Cormack (Heliospheric Physics Laboratory, Heliophysics Science Division, NASA Goddard Space Flight Center, MD, USA, The Catholic University of America, Washington, DC, USA), S. B. Shaik (George Mason University, Fairfax, VA, USA), P. Hess (U.S. Naval Research Laboratory, Washington, D.C., USA), R. Colaninno (U.S. Naval Research Laboratory, Washington, D.C., USA), T. Nieves-Chinchilla (Heliospheric Physics Laboratory, Heliophysi…

Prominence material observed by SoloHI beyond 0.5au
With the combination of observations from in-situ and high-resolution remote sensing instruments, the Solar Orbiter (SolO) mission has become a particularly valuable mission for studying the inner heliosphere. With a field of view (FOV) of 40$^\circ$ to the east of the Sun, the Solar Orbiter Heliospheric Imager (SoloHI) is one of the six remote sensing instruments on board the Solar Orbiter (SolO) spacecraft. SoloHI's high-resolution imaging observations of the heliosphere and its higher cadenc…

How an AI assistant developed by Brazilian nonprofit NoHarm is helping pharmacists in remote Amazon clinics process prescriptions more quickly and catch errors (Pedro Nakamura/Rest of World)
https://restofworld.org/2025/brazil-amazon-ai-healthcare-prescript…

AI is making health care safer in the remote Amazon
At overburdened clinics, pharmacists use AI to catch dangerous errors. It’s frontier tech meets frontier medicine — with global implications.

Benefits of remote work: I get to microwave fish, and nobody complains about it.

Demonstrating Superresolution in Radar Range Estimation Using a Denoising Autoencoder
Robert Czupryniak, Abhishek Chakraborty, Andrew N. Jordan, John C. Howell
https://arxiv.org/abs/2506.14906

Demonstrating Superresolution in Radar Range Estimation Using a Denoising Autoencoder
We apply machine learning methods to demonstrate range superresolution in remote sensing radar detection. Specifically, we implement a denoising autoencoder to estimate the distance between two equal intensity scatterers in the subwavelength regime. The machine learning models are trained on waveforms subject to a bandlimit constraint such that ranges much smaller than the inverse bandlimit are optimized in their precision. The autoencoder achieves effective dimensionality reduction, with the b…

Delay Optimization in Remote ID-Based UAV Communication via BLE and Wi-Fi Switching
Yian Zhu, Ziye Jia, Lei Zhang, Yao Wu, Qiuming Zhu, Qihui Wu
https://arxiv.org/abs/2506.07715

Delay Optimization in Remote ID-Based UAV Communication via BLE and Wi-Fi Switching
The remote identification (Remote ID) broadcast capability allows unmanned aerial vehicles (UAVs) to exchange messages, which is a pivotal technology for inter-UAV communications. Although this capability enhances the operational visibility, low delay in Remote ID-based communications is critical for ensuring the efficiency and timeliness of multi-UAV operations in dynamic environments. To address this challenge, we first establish delay models for Remote ID communications by considering packet…

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
Timo Salomon, Mehmet Mueller, Philipp Meyer, Thomas C. Schmidt
https://arxiv.org/abs/2506.13261

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
The automotive industry is undergoing a software-as-a-service transformation that enables software-defined functions and post-sale updates via cloud and vehicle-to-everything communication. Connectivity in cars introduces significant security challenges, as remote attacks on vehicles have become increasingly prevalent. Current automotive designs call for security solutions that address the entire lifetime of a vehicle. In this paper, we propose to authenticate and authorize in-vehicle services …

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Zhenyu Yu, Mohd. Yamani Idna Idris, Pei Wang, Yuelong Xia, Fei Ma, Rizwan Qureshi
https://arxiv.org/abs/2506.06176

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
We propose SatelliteFormula, a novel symbolic regression framework that derives physically interpretable expressions directly from multi-spectral remote sensing imagery. Unlike traditional empirical indices or black-box learning models, SatelliteFormula combines a Vision Transformer-based encoder for spatial-spectral feature extraction with physics-guided constraints to ensure consistency and interpretability. Existing symbolic regression methods struggle with the high-dimensional complexity of…

Over the past few months, I've been building out a home server that was originally purely to run on-prem LLMs. Since I wanted it to run killer AI, I named it "Delores." Over the weekend, I received a Mac Mini in the mail that I got a good deal on and set it up to augment Dolores. I was trying to figure out what to name it and eventually went with "Teddy."
From my laptop, iPads, etc, I can remote into an Ubuntu VM, Windows VM, or (now) MacOS and do whatever I am looking to do.

The last thing to install into the minirack: some nice remote access. Still need a few HDMI cables and I need to figure out a way to integrate the power button control into the PiKVM stuff, but baby steps.
#homelab

What is the biggest threat to companies regarding remote work?
I think it really comes down to remote employees have more autonomy over their life, and so aren't forced to cower to the company. Remote work removes the hassle of having upend ones life when changing companies by moving country etc.

What a story….
#measles

How measles tore through a remote West Texas city
Anti-vaccine activists seized on a measles outbreak in Seminole, Texas, and turned the small Mennonite city into a battleground between fringe doctors and mainstream medicine.

Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks
Haoqing Li, Ricardo Borsoi, Tales Imbiriba, Pau Closas
https://arxiv.org/abs/2506.13733

Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks
Multiresolution image fusion is a key problem for real-time satellite imaging and plays a central role in detecting and monitoring natural phenomena such as floods. It aims to solve the trade-off between temporal and spatial resolution in remote sensing instruments. Although several algorithms have been proposed for this problem, the presence of outliers such as clouds downgrades their performance. Moreover, strategies that integrate robustness, recursive operation and learned models are missin…

Stupid people on bluesky not understanding the difference between a joke and a serious post are a great opportunity to test the remote blocking thing through the bridge.
(minutes later)
What do you know? It does work. :)

Remote sensing of tectonic induced stress across faults using high energy muon beams
L. Serafini, G. Muttoni, A. Bacci, F. Broggi, L. Giuliano, A. M. Marotta, V. Petrillo, E. Puppin, M. Rossetti Conti, A. R. Rossi, S. Samsam, M. Voltolini, M. Zucali
https://arxiv.org/abs/2506.12196

Remote sensing of tectonic induced stress across faults using high energy muon beams
We illustrate a theoretical study of a newly conceived technique using high-energy muon beams (TeV-class) propagating through thick (km-long) crystalline rock layers subject to tectonic-induced stress, potentially capable of actively monitoring the temporal evolution of the pressure rise in seismic fault zones associated with earthquake triggering when the induced tectonic pressure reaches and overcomes the rock elasto-plastic deformation limit. This technique could contribute to improving eart…

Haptic-Based User Authentication for Tele-robotic System
Rongyu Yu, Kan Chen, Zeyu Deng, Chen Wang, Burak Kizilkaya, Liying Emma Li
https://arxiv.org/abs/2506.14116

Haptic-Based User Authentication for Tele-robotic System
Tele-operated robots rely on real-time user behavior mapping for remote tasks, but ensuring secure authentication remains a challenge. Traditional methods, such as passwords and static biometrics, are vulnerable to spoofing and replay attacks, particularly in high-stakes, continuous interactions. This paper presents a novel anti-spoofing and anti-replay authentication approach that leverages distinctive user behavioral features extracted from haptic feedback during human-robot interactions. To …

North Korea Infiltrates U.S. Remote Jobs—With the Help of Everyday Americans
https://www.wsj.com/business/north-korea-remote-jobs-e4daa727

arse:
'Accept State: remote can't support version # {2}
Program Version (Minimum): 3'
Jun 11 15:07:08 major sh[1012]: rpc.nfsd: Writing version string to kernel: 2 3 4 4.1 4.2
Jun 11 15:07:08 major sh[1012]: rpc.nfsd: Setting version failed: errno 22 (Invalid argument)
OK, so Debian Trixie has NFSv2 server configured out of the kernel; (it has the client as a module)

Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks
Boran Wang, Ziye Jia, Can Cui, Qihui Wu
https://arxiv.org/abs/2506.12750

Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks
With the development of low earth orbit (LEO) satellites and unmanned aerial vehicles (UAVs), the space-air-ground integrated network (SAGIN) becomes a major trend in the next-generation networks. However, due to the instability of heterogeneous communication and time-varying characteristics of SAGIN, it is challenging to meet the remote Internet of Things (IoT) demands for data collection and offloading. In this paper, we investigate a two-phase hierarchical data uplink model in SAGIN. Specifi…

CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images
Ilya Ilyankou, Natchapon Jongwiriyanurak, Tao Cheng, James Haworth
https://arxiv.org/abs/2506.12214

CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images
We present a CLIP-based, multi-modal, multi-label classifier for predicting geographical context tags from landscape photos in the Geograph dataset--a crowdsourced image archive spanning the British Isles, including remote regions lacking POIs and street-level imagery. Our approach addresses a Kaggle competition\footnote{https://www.kaggle.com/competitions/predict-geographic-context-from-landscape-photos} task based on a subset of Geograph's 8M images, with strict evaluation: exact match accura…

Data-driven approaches to inverse problems
Carola-Bibiane Sch\"onlieb, Zakhar Shumaylov
https://arxiv.org/abs/2506.11732 https://

Data-driven approaches to inverse problems
Inverse problems are concerned with the reconstruction of unknown physical quantities using indirect measurements and are fundamental across diverse fields such as medical imaging, remote sensing, and material sciences. These problems serve as critical tools for visualizing internal structures beyond what is visible to the naked eye, enabling quantification, diagnosis, prediction, and discovery. However, most inverse problems are ill-posed, necessitating robust mathematical treatment to yield m…

Decentralized Uplink Adaptive Compression for Cell-Free MIMO with Limited Fronthaul
Zehua Li, Jingjie Wei, Raviraj Adve
https://arxiv.org/abs/2506.11284 ht…

Decentralized Uplink Adaptive Compression for Cell-Free MIMO with Limited Fronthaul
We study the problem of uplink compression for cell-free multi-input multi-output networks with limited fronthaul capacity. In compress-forward mode, remote radio heads (RRHs) compress the received signal and forward it to a central unit for joint processing. While previous work has focused on a transform-based approach, which optimizes the transform matrix that reduces signals of high dimension to a static pre-determined lower dimension, we propose a rate-based approach that simultaneously fin…

The @… Parking Reform Network is looking for a summer research intern (remote work), deadline June 2.
https://parkingreform.org/work-or-volu

Research Internship at PRN
We are hiring a research intern! This position is full time, remote, funded for 10 weeks, and reports to our policy director, Daniel Herriges.

Interesting conversation with a recruiter at an ex-employer of mine, who are looking to expand their headcount.
They've recently handed back a lease on a building, several years early, and the reasons given were issues with folk hired during the pandemic, and folk switching to hybrid working.
The pandemic one was interesting; Their interview process wasn't remote friendly, but rather than refine, they've decided to revert.
Seems like a signal about their views o…

Isoperimetric Inequality on Manifolds with Quadratically Decaying Curvature
Dangyang He
https://arxiv.org/abs/2506.13365 https://arxi…

Isoperimetric Inequality on Manifolds with Quadratically Decaying Curvature
In this paper, we investigate the reverse improvement property of Sobolev inequalities on manifolds with quadratically decaying Ricci curvature. Specifically, we establish conditions under which the uniform decay of the heat kernel implies the validity of an isoperimetric inequality. As an application, we demonstrate the existence of isoperimetric sets in generalized Grushin spaces. Our approach is built on a weak-type Sobolev inequality, gradient estimates on remote balls, and a Hardy-type glu…

From the Water-Wasteful ‘Ice Bucket Challenge’ Comes Pipelines Built in Nepal So Kids Don’t Have to Haul it From Afar https://www.goodnewsnetwork.org/from-the-water-wasting-ice-bucket-challenge-comes-pipelines-built-in-nepal/…

From the Water-Wasteful ‘Ice Bucket Challenge’ Comes Pipelines Built in Nepal So Kids Don’t Have to Haul it From Afar
A Scotsman transformed the spirit of the Ice Bucket Challenge into a truly impactful program—new water pipelines for remote Nepal villages.

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
Timo Salomon, Mehmet Mueller, Philipp Meyer, Thomas C. Schmidt
https://arxiv.org/abs/2506.13261

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
The automotive industry is undergoing a software-as-a-service transformation that enables software-defined functions and post-sale updates via cloud and vehicle-to-everything communication. Connectivity in cars introduces significant security challenges, as remote attacks on vehicles have become increasingly prevalent. Current automotive designs call for security solutions that address the entire lifetime of a vehicle. In this paper, we propose to authenticate and authorize in-vehicle services …

Wazuh the maker of the unified #XDR and #SIEM protection for endpoints
and cloud workloads has technical and non-technical #remote roles open.

Careers | Wazuh
Would you like to be part of our team? If you would like to work on an open source project, Wazuh is the right place for you.

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads
Tianze Wang, Yifei Liu, Chen Chen, Pengfei Zuo, Jiawei Zhang, Qizhen Weng, Yin Chen, Zhenhua Han, Jieru Zhao, Quan Chen, Minyi Guo
https://arxiv.org/abs/2506.12370

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads
Modern AI clusters, which host diverse workloads like data pre-processing, training and inference, often store the large-volume data in cloud storage and employ caching frameworks to facilitate remote data access. To avoid code-intrusion complexity and minimize cache space wastage, it is desirable to maintain a unified cache shared by all the workloads. However, existing cache management strategies, designed for specific workloads, struggle to handle the heterogeneous AI workloads in a cluster …

The Barents Observer gets reporting done inside #Russia, even now
https://www.thebarentsobserver.com/democra

GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments
Farha Abdul Wasay, Mohammed Abdul Rahman, Hania Ghouse
https://arxiv.org/abs/2506.14513

GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments
The convergence of robotics and virtual reality (VR) has enabled safer and more efficient workflows in high-risk laboratory settings, particularly virology labs. As biohazard complexity increases, minimizing direct human exposure while maintaining precision becomes essential. We propose GAMORA (Gesture Articulated Meta Operative Robotic Arm), a novel VR-guided robotic system that enables remote execution of hazardous tasks using natural hand gestures. Unlike existing scripted automation or trad…

Meine Logitec-BT-Lautsprecher mal wieder aktiviert und bisschen mitm EQ rumgetjuhnt.
„Murder“ von Faderhead boomt ganz gut. ^^

CISA warns of SimpleHelp ransomware compromises after string of retail attacks https://therecord.media/cisa-warns-of-simplehelp-ransomware-compromises

No quote post yet
Remote fetch replies is set as experimental and also asynchronous, unclear if it would be ready for the final release. https://mastodon.social/@MastodonEngineering/114625074809479231

Design Tradeoffs in Photonically Linked Qubit Networks
Ely Novakoski, Jungsang Kim
https://arxiv.org/abs/2506.06268 https://arxiv.org…

Design Tradeoffs in Photonically Linked Qubit Networks
Quantum networking can be realized by distributing pairs of entangled qubits between remote quantum processing nodes. Devoted communication qubits within each node can naturally interface with photons which bus quantum information between nodes. With the introduction of CQED to enhance interactions between communication qubits and photons, advanced protocols capable of achieving high entanglement distribution rates with high fidelity become feasible. In this paper, we consider two such protocol…

Video Quality Monitoring for Remote Autonomous Vehicle Control
Dimitrios Kafetzis, Nikos Fotiou, Savvas Argyropoulos, Jad Nasreddine, Iordanis Koutsopoulos
https://arxiv.org/abs/2506.03166

Video Quality Monitoring for Remote Autonomous Vehicle Control
The delivery of high-quality, low-latency video streams is critical for remote autonomous vehicle control, where operators must intervene in real time. However, reliable video delivery over Fourth/Fifth-Generation (4G/5G) mobile networks is challenging due to signal variability, mobility-induced handovers, and transient congestion. In this paper, we present a comprehensive blueprint for an integrated video quality monitoring system, tailored to remote autonomous vehicle operation. Our proposed …

Je viens de poster : « Would it be possible to implement remote web control of SMS messages in #FossifyMessage, like https://messages.google.com/? »

3D Skin Segmentation Methods in Medical Imaging: A Comparison
Martina Paccini, Giuseppe Patan\`e
https://arxiv.org/abs/2506.11852 https://

3D Skin Segmentation Methods in Medical Imaging: A Comparison
Automatic segmentation of anatomical structures is critical in medical image analysis, aiding diagnostics and treatment planning. Skin segmentation plays a key role in registering and visualising multimodal imaging data. 3D skin segmentation enables applications in personalised medicine, surgical planning, and remote monitoring, offering realistic patient models for treatment simulation, procedural visualisation, and continuous condition tracking. This paper analyses and compares algorithmic an…

@… before I set the "Remote Content Retention Period" to manage the constant database growth of my tiny instance: Have you considered having an option in the masto.host admin to enable regular executions of "tootctl statuses remove" (

There’s exactly 1 narrow way that it’s true. Before widespread #WFH, attackers often had an insurmountable barrier: no way into the business network from the Internet. At the last gig (2008) where I had to visit a “workplace” regularly, inbound remote access was officially non-existent & outbound Internet access all went through restrictive web proxies.

Kevin Beaumont (@GossiTheDog@cyberplace.social)
Attached: 1 image This Daily Mail piece about security leaders thinking work-from-home means they will be crippled is horseshit, I'm not linking it. They've taken a survey about how security people think their businesses couldn't survive ransomware, and linked it to working from home. WFH isn't the problem: business IT and resilience being built on quicksand is the problem.

This https://arxiv.org/abs/2505.19111 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Remote Sensing Image Classification with Decoupled Knowledge Distillation
To address the challenges posed by the large number of parameters in existing remote sensing image classification models, which hinder deployment on resource-constrained devices, this paper proposes a lightweight classification method based on knowledge distillation. Specifically, G-GhostNet is adopted as the backbone network, leveraging feature reuse to reduce redundant parameters and significantly improve inference efficiency. In addition, a decoupled knowledge distillation strategy is employ…

Since I could translate the symbols, I can now see them in gdb as well (extended with gef here). When I run QEMU, it uses the Multiboot header, but that's no issue.
In gdb, I had to
- `target remote localhost:1234`
- `add-symbol-file ./9pc64.aout.elf 0xffffffff80110000`
The second part is crucial for relocating the symbols, since we'll be long mode.
Anyway, enjoy symbols!!! \o/

Geomag storm? Yup.
Even 20m FT8 is barely audible. Not a good day to rely solely on your GPS device if you're going anywhere remote.

"Environmental SOS: Rare birds crunch from bellies full of plastic"
#Birds #Plastic #Plastics

Environmental SOS: Rare birds crunch from bellies full of plastic
Birds on a remote Australian island are so full of plastic they crunch, British researchers report.

UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization
Runze Zhang, Ishfaq Aziz, Derek Houtz, Yuxiang Zhao, Trent W. Ford, Adam C. Watts, Mohamad Alipour
https://arxiv.org/abs/2506.05572

UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization
High-resolution soil moisture (SM) observations are critical for agricultural monitoring, forestry management, and hazard prediction, yet current satellite passive microwave missions cannot directly provide retrievals at tens-of-meter spatial scales. Unmanned aerial vehicle (UAV) mounted microwave radiometry presents a promising alternative, but most evaluations to date have focused on agricultural settings, with limited exploration across other land covers and few efforts to quantify retrieval…

Detection of Ultra-Trace Heavy metals in Aerosols with pg^m3 Sensitivity Using Filament-Induced Fluorescence Spectroscopy
Yuezheng Wang, Lu Sun, Zhiwenqi An, Jiayun Xue, Zhixuan An, Nan Zhang, Lie Lin, Weiwei Liu
https://arxiv.org/abs/2506.09295

Detection of Ultra-Trace Heavy metals in Aerosols with pg^m3 Sensitivity Using Filament-Induced Fluorescence Spectroscopy
Heavy metal pollution, particularly in the form of airborne aerosols such as lead (Pb), cadmium (Cd), mercury (Hg), and cobalt (Co), poses serious health and environmental risks, necessitating highly sensitive remote detection techniques. In this study, Filament-Induced Fluorescence Spectroscopy (FIFS) was employed to detect ultra-trace concentrations of heavy metal aerosols with high sensitivity and stability. By systematically optimizing the balance between filament length and detection dista…

I am seeking speakers for my @… & @… meetups. We prefer in-person presentations in Frankfurt or the Mannheim area, but remote talks are also an option.
If you have anything interesting to share with us, let us know. We'd be …

BacPrep: An Experimental Platform for Evaluating LLM-Based Bacalaureat Assessment
Dumitran Adrian Marius, Dita Radu
https://arxiv.org/abs/2506.04989 https:…

BacPrep: An Experimental Platform for Evaluating LLM-Based Bacalaureat Assessment
Accessing quality preparation and feedback for the Romanian Bacalaureat exam is challenging, particularly for students in remote or underserved areas. This paper introduces BacPrep, an experimental online platform exploring Large Language Model (LLM) potential for automated assessment, aiming to offer a free, accessible resource. Using official exam questions from the last 5 years, BacPrep employs one of Google's newest models, Gemini 2.0 Flash (released Feb 2025), guided by official grading sc…

A post from the archive 📫:
Debug managed Linux core dumps with Visual Studio
https://www.poppastring.com/blog/debug-managed-linux-core-dumps-with-visual-studio

Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems
Andrea Munari, Federico Chiariotti, Leonardo Badia, Petar Popovski
https://arxiv.org/abs/2506.04804

Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems
The widespread adoption of age of information (AoI) as a meaningful and analytically tractable information freshness metric has led to a wide body of work on the timing performance of Internet of things (IoT) systems. However, the spatial correlation inherent to environmental monitoring has been mostly neglected in the recent literature, due to the significant modeling complexity it introduces. In this work, we address this gap by presenting a model of spatio-temporal information freshness, con…

Sonnet 044 - XLIV
If the dull substance of my flesh were thought,
Injurious distance should not stop my way;
For then despite of space I would be brought,
From limits far remote, where thou dost stay.
No matter then although my foot did stand
Upon the farthest earth remov'd from thee;
For nimble thought can jump both sea and land,
As soon as think the place where he would be.
But, ah! thought kills me that I am not thought,
To l…

SecONNds: Secure Outsourced Neural Network Inference on ImageNet
Shashank Balla
https://arxiv.org/abs/2506.11586 https://arxiv.org/pd…

SecONNds: Secure Outsourced Neural Network Inference on ImageNet
The widespread adoption of outsourced neural network inference presents significant privacy challenges, as sensitive user data is processed on untrusted remote servers. Secure inference offers a privacy-preserving solution, but existing frameworks suffer from high computational overhead and communication costs, rendering them impractical for real-world deployment. We introduce SecONNds, a non-intrusive secure inference framework optimized for large ImageNet-scale Convolutional Neural Networks. …

The idea is to provide a safe haven and a fertile ground for the next generation of scientists to work in peace and freedom to solve the most significant challenges of our time; but the geopolitical argument will prevail. As Jorge Luis Borges said in his short story “Nathaniel Hawthorne” from his book “Other Inquisitions” (1952):
“The past is indestructible; sooner or later all things return, and one of the things that return is the project to abolish the past.”

William Aspray
There was a moment in which Kurt Gödel, Albert Einstein, and John von Neumann were all roaming the halls of the Institute for Advanced Studies in Princeton at the same time. Let that information sink in. Humanity experiences such gatherings of brilliant minds in a remote location of the space-time continuum only every so often; maybe the ancient Greeks and the men of the Renaissance witnessed such periods in time, as did the IAS staff at the end of World War II. How much will we have to wait f…

This https://arxiv.org/abs/2305.15549 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
Improving the accuracy of soil moisture estimation is required for advancing irrigation scheduling and water conservation efforts. Central to this task are soil hydraulic parameters, which govern moisture dynamics but are rarely known precisely and must therefore be inferred from observational data. In large-scale agricultural fields, estimating the complete set of these parameters is often impractical due to the sparse and noisy nature of available measurements. To address this challenge, this…

Dynamic mapping from static labels: remote sensing dynamic sample generation with temporal-spectral embedding
Shuai Yuan, Shuang Chen, Tianwu Lin, Jie Wang, Peng Gong
https://arxiv.org/abs/2506.02574

Dynamic mapping from static labels: remote sensing dynamic sample generation with temporal-spectral embedding
Accurate remote sensing geographic mapping depends heavily on representative and timely sample data. However, rapid changes in land surface dynamics necessitate frequent updates, quickly rendering previously collected samples obsolete and imposing significant labor demands for continuous manual updates. In this study, we aim to address this problem by dynamic sample generation using existing single-date static labeled samples. We introduce TasGen, a two-stage automated framework to automaticall…

Raiders plotting out development plans for land surrounding team’s Henderson HQ https://www.reviewjournal.com/sports/raiders/raiders-plotting-out-development-plans-for-land-surrounding-teams-henderson-h…

104°f in the forecast today (so likely 100 here, generally tend to be a few degrees below the airport the local news channels use for their forecast) so it's a Steam Deck day. This saves the AC in the RV from having to fight down the heat from my PC/monitor. What am I doing on it? Why, I'm using Chiaki4Deck to remote play Dave The Diver on my PS5 (That sits in a cabinet with an exhaust fan venting outside👍)

Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Tanjil Hasan Sakib, Samia Jahan Mojumder, Rajan Das Gupta, Md Imrul Hasan Showmick, Md. Yeasin Rahat, Md. Jakir Hossen
https://arxiv.org/abs/2506.09153

Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Real-time face orientation recognition is a cutting-edge technology meant to track and analyze facial movements in virtual environments such as online interviews, remote meetings, and virtual classrooms. As the demand for virtual interactions grows, it becomes increasingly important to measure participant engagement, attention, and overall interaction. This research presents a novel solution that leverages the Media Pipe Face Mesh framework to identify facial landmarks and extract geometric dat…

The Folly of AI for Age Verification
Reid McIlroy-Young
https://arxiv.org/abs/2506.00038 https://arxiv.org/pdf/2506.00038

The Folly of AI for Age Verification
In the near future a governmental body will be asked to allow companies to use AI for age verification. If they allow it the resulting system will both be easily circumvented and disproportionately misclassify minorities and low socioeconomic status users. This is predictable by showing that other very similar systems (facial recognition and remote proctoring software) have similar issues despite years of efforts to mitigate their biases. These biases are due to technical limitations both of th…

This https://arxiv.org/abs/2501.02469 has been replaced.
link: https://scholar.google.com/scholar?q=a

LoRaConnect: Unlocking HTTP Potential on LoRa Backbones for Remote Areas and Ad-Hoc Networks
The minimal infrastructure requirements of LoRa make it suitable for deployments in remote and disaster-stricken areas. Concomitantly, the modern era is witnessing the proliferation of web applications in all aspects of human life, including IoT and other network services. Contemporary IoT and network solutions heavily rely on web applications to render services. However, despite the recent research and development pivoted around LoRa, there is still a lack of studies focusing on web applicatio…

Breaking the Barriers of Text-Hungry and Audio-Deficient AI
Hamidou Tembine, Issa Bamia, Massa NDong, Bakary Coulibaly, Oumar Issiaka Traore, Moussa Traore, Moussa Sanogo, Mamadou Eric Sangare, Salif Kante, Daryl Noupa Yongueng, Hafiz Tiomoko Ali, Malik Tiomoko, Frejus Laleye, Boualem Djehiche, Wesmanegda Elisee Dipama, Idris Baba Saje, Hammid Mohammed Ibrahim, Moumini Sanogo, Marie Coursel Nininahazwe, Abdul-Latif Siita, Haine Mhlongo, Teddy Nelvy Dieu Merci Kouka, Mariam Serine Jerid…

Breaking the Barriers of Text-Hungry and Audio-Deficient AI
While global linguistic diversity spans more than 7164 recognized languages, the current dominant architecture of machine intelligence remains fundamentally biased toward written text. This bias excludes over 700 million people particularly in rural and remote regions who are audio-literate. In this work, we introduce a fully textless, audio-to-audio machine intelligence framework designed to serve this underserved population, and all the people who prefer audio-efficiency. Our contributions in…

This https://arxiv.org/abs/2505.23248 has been replaced.
link: https://scholar.google.com/scholar?q=a

Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey
Remote sensing image super-resolution (RSISR) is a crucial task in remote sensing image processing, aiming to reconstruct high-resolution (HR) images from their low-resolution (LR) counterparts. Despite the growing number of RSISR methods proposed in recent years, a systematic and comprehensive review of these methods is still lacking. This paper presents a thorough review of RSISR algorithms, covering methodologies, datasets, and evaluation metrics. We provide an in-depth analysis of RSISR met…

#mastodontips mb?
#mastodon #firefoxaddons

This https://arxiv.org/abs/2502.05954 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

Optimization under Attack: Resilience, Vulnerability, and the Path to Collapse
Optimization is instrumental for improving operations of large-scale socio-technical infrastructures of Smart Cities, for instance, energy and traffic systems. In particular, understanding the performance of multi-agent discrete-choice combinatorial optimization under distributed adversary attacks is a compelling and underexplored problem, since multi-agent systems exhibit a large number of remote control variables that can influence in an unprecedented way the cost-effectiveness of distributed…

This https://arxiv.org/abs/2209.03350 has been replaced.
link: https://scholar.google.com/scholar?q=a

Modeling Polarized Radio Sounding Observations of a Coronal Mass Ejection
Coronal Mass Ejections (CMEs) evolve significantly as they propagate from the Sun to the Earth, so remote observations of their changes in speed, strength of the magnetic field, density, and overall structure are critical for predicting their arrival time and geoeffectiveness. Radio line-of-sight observations of Faraday rotation and Total Electron Content combined with white-light observations enables the measurement of these properties with careful analyses. This paper describes the analysis t…

"Golden eagle spotted in England for first time in more than a decade"
#UK #UnitedKingdom #Birds #BirdsOfPrey

Golden eagle spotted in England for first time in more than a decade
A golden eagle has been spotted in northern England for the first time since 2015, indicating the birds may soon be expanding their range south from Scotland into England, where they’re currently considered locally extinct. Conservationists and scientists working in a remote area of rural Northumberland, an English county that borders Scotland, reported seeing the […]

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication
Alex Obando, Saman Atapattu, Prathapasinghe Dharmawansa, Akram Hourani, Kandeepan Sithamparanathan
https://arxiv.org/abs/2506.09439

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication
This paper considers a MIMO Integrated Sensing and Communication (ISAC) system, where a base station simultaneously serves a MIMO communication user and a remote MIMO sensing receiver, without channel state information (CSI) at the transmitter. Existing MIMO ISAC literature often prioritizes communication rate or detection probability, typically under constant false-alarm rate (CFAR) assumptions, without jointly analyzing detection reliability and communication constraints. To address this gap,…

EMG-Driven Stiffness-Modulating Palpation for Telerehabilitation
Thomas M. Kwok, Hilary HY Cheng, Wai Tuck Chow
https://arxiv.org/abs/2506.08303 https://…

EMG-Driven Stiffness-Modulating Palpation for Telerehabilitation
In this work, we introduce HJ-Pal, a lightweight wearable haptic device that leverages EMG-driven honeycomb jamming to render muscle activation as kinesthetic feedback, enabling remote palpation for small muscle assessment in telerehabilitation.

SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving
Xiangchen Li, Dimitrios Spatharakis, Saeid Ghafouri, Jiakun Fan, Dimitrios Nikolopoulos
https://arxiv.org/abs/2506.09397

SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving
Regardless the advancements in device capabilities, efficient inferencing advanced large language models (LLMs) at the edge remains challenging due to limited device memory and power constraints. Existing strategies, such as aggressive quantization, pruning, or remote inference, trade accuracy for efficiency or lead to substantial cost burdens. This position paper introduces a new approach that leverages speculative decoding, previously viewed primarily as a decoding acceleration technique for …

This https://arxiv.org/abs/2504.01832 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum Meets SAR: A Novel Range-Doppler Algorithm for Next-Gen Earth Observation
Synthetic Aperture Radar (SAR) plays a vital role in remote sensing due to its ability to capture high-resolution images regardless of weather conditions or daylight. However, to transform the raw SAR signals into interpretable imagery, advanced data processing techniques are essential. A widely used technique for this purpose is the Range Doppler Algorithm (RDA), which takes advantage of Fast Fourier Transform (FFT) to convert signals into the frequency domain for further processing. However, …

This https://arxiv.org/abs/2409.05693 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Photoluminescence-Based Gas Sensing with MoS2 Monolayers
Two-dimensional transition metal dichalcogenides (TMDs) are highly appealing for gas sensors, lab-on-a-chip devices and bio-sensing applications because of their strong light-matter interaction and high surface-to-volume ratio. The ability to grow these van der Waals materials on different substrates and waveguide geometries opens a horizon toward scalable on-chip photonic nanodevices. Here, we report on a versatile technique for real time remote optical gas sensing using two-dimensional TMDs. …

Streaming Remote rendering services: Comparison of QUIC-based and WebRTC Protocols
Daniel Mej\'ias, Inhar Yeregui, \'Angel Mart\'in, Roberto Viola, Pablo Angueira, Jon Montalb\'an
https://arxiv.org/abs/2505.22132

Streaming Remote rendering services: Comparison of QUIC-based and WebRTC Protocols
The proliferation of Extended Reality (XR) applications, requiring high-quality, low-latency media streaming, has driven the demand for efficient remote rendering solutions. This paper focuses on holographic conferencing in virtual environments and their required uplink and downlink media transmission capabilities. By examining Media over QUIC (MoQ), Real-time Transport Protocol (RTP) over QUIC (RoQ), and Web Real-Time Communication (WebRTC), we assess their latency performance over Wi-Fi and 5…

FBI: Play ransomware gang has attacked 600 organizations since 2023 https://therecord.media/play-ransomware-gang-fbi-update-900-attacks

This https://arxiv.org/abs/2408.06208 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Event-triggered moving horizon estimation for nonlinear systems
This work proposes an event-triggered moving horizon estimation (ET-MHE) scheme for general nonlinear systems. The key components of the proposed scheme are a novel event-triggering mechanism (ETM) and the suitable design of the MHE cost function. The main characteristic of our method is that the MHE's nonlinear optimization problem is only solved when the ETM triggers the transmission of measured data to the remote state estimator. If no event occurs, then the current state estimate results fr…

On-board Mission Replanning for Adaptive Cooperative Multi-Robot Systems
Elim Kwan, Rehman Qureshi, Liam Fletcher, Colin Laganier, Victoria Nockles, Richard Walters
https://arxiv.org/abs/2506.06094

On-board Mission Replanning for Adaptive Cooperative Multi-Robot Systems
Cooperative autonomous robotic systems have significant potential for executing complex multi-task missions across space, air, ground, and maritime domains. But they commonly operate in remote, dynamic and hazardous environments, requiring rapid in-mission adaptation without reliance on fragile or slow communication links to centralised compute. Fast, on-board replanning algorithms are therefore needed to enhance resilience. Reinforcement Learning shows strong promise for efficiently solving mi…

Lightweight Electronic Signatures and Reliable Access Control Included in Sensor Networks to Prevent Cyber Attacks from Modifying Patient Data
Mishall Al-Zubaidie
https://arxiv.org/abs/2506.08828

Lightweight Electronic Signatures and Reliable Access Control Included in Sensor Networks to Prevent Cyber Attacks from Modifying Patient Data
Digital terrorism is a major cause of securing patient/healthcare providers data and information. Sensitive topics that may have an impact on a patient's health or even national security include patient health records and information on healthcare providers. Health databases and data sets have been continually breached by many, regular assaults, as well as local and remote servers equipped with wireless sensor networks (WSNs) in diverse locations. The problem was addressed by some contemporary …

Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
Inhar Yeregui, Daniel Mej\'ias, Mikel Zorrilla, Roberto Viola, Jasone Astorga, Eduardo Jacob
https://arxiv.org/abs/2505.22123

Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
As immersive eXtended Reality (XR) applications demand substantial network resources, understanding their interaction with 5G networks becomes crucial to improve them. This paper investigates the role of 5G physical-layer monitoring to manage and enhance the remote rendering of XR content dynamically. By observing network metrics directly from the physical layer, we propose a system to adapt streaming parameters such as bitrate, framerate, and resolution in real time based on available network …

This https://arxiv.org/abs/2412.07818 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics
Internet of Things (IoT) based healthcare systems offer significant potential for improving the delivery of healthcare services in humanitarian engineering, providing essential healthcare services to millions of underserved people in remote areas worldwide. However, these areas have poor network infrastructure, making communications difficult for traditional IoT. This paper presents a real-time chest X-ray classification system for hospitals in remote areas using FastDDS real-time middleware, o…

This https://arxiv.org/abs/2505.17502 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Demonstration of Quantum-Secure Communications in a Nuclear Reactor
Quantum key distribution (QKD), one of the latest cryptographic techniques, founded on the laws of quantum mechanics rather than mathematical complexity, promises for the first time unconditional secure remote communications. Integrating this technology into the next generation nuclear systems - designed for universal data collection and real-time sharing as well as cutting-edge instrumentation and increased dependency on digital technologies - could provide significant benefits enabling secure…

This https://arxiv.org/abs/2506.01135 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …

Recursive Privacy-Preserving Estimation Over Markov Fading Channels
Jie Huang, Fanlin Jia, Xiao He
https://arxiv.org/abs/2506.02725 https://

Recursive Privacy-Preserving Estimation Over Markov Fading Channels
In industrial applications, the presence of moving machinery, vehicles, and personnel, contributes to the dynamic nature of the wireless channel. This time variability induces channel fading, which can be effectively modeled using a Markov fading channel (MFC). In this paper, we investigate the problem of secure state estimation for systems that communicate over a MFC in the presence of an eavesdropper. The objective is to enable a remote authorized user to accurately estimate the states of a d…

This https://arxiv.org/abs/2501.03465 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Extending Internet Access Over LoRa for Internet of Things and Critical Applications
LoRa bridges the gap between remote locations and mainstream networks, enabling large-scale Internet of Things (IoT) deployments. Despite the recent advancements around LoRa, Internet access over this technology is still largely unexplored. Most existing solutions only handle packets within the local LoRa network and do not interact with web applications. This limits the scalability and the ability to deliver essential web services in disconnected regions. This work proposes and implements ILoR…

RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
Harsha Yelchuri, Diwakar Kumar Singh, Nithish Krishnabharathi Gnani, T V Prabhakar, Chandramani Singh
https://arxiv.org/abs/2506.01027

RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
Robotic surgery imposes a significant cognitive burden on the surgeon. This cognitive burden increases in the case of remote robotic surgeries due to latency between entities and thus might affect the quality of surgery. Here, the patient side and the surgeon side are geographically separated by hundreds to thousands of kilometres. Real-time teleoperation of robots requires strict latency bounds for control and feedback. We propose a dual digital twin (DT) framework and explain the simulation e…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Ziliang Zhang, Cong Liu, Hyoseung Kim
https://arxiv.org/abs/2506.01135

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …

This https://arxiv.org/abs/2505.21529 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT
Large-scale Internet of Things (IoT) applications, such as asset tracking and remote sensing, demand multi-year battery lifetimes to minimize maintenance and operational costs. Traditional wireless protocols often employ duty cycling, introducing a tradeoff between latency and idle consumption - both unsuitable for event-driven and ultra-low power systems. A promising approach to address these issues is the integration of always-on wake-up radios (WuRs). They provide asynchronous, ultra-low pow…

This https://arxiv.org/abs/2505.19305 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Leveraging Large Language Models to Contextualize Network Measurements
With the worldwide growth of remote communication and telepresence, network measurements form a cornerstone of effective performance assessment and diagnostics for Internet users. Most often, users seek for overall connection performance measurement using publicly available tools (also known as `speed tests') that provide an overview of their connection's throughput and latency. However, extracting meaningful insights from these measurements remains a challenging task for a non-technical audien…

Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
Dinh-Hieu Tran, Nazar Waheed, Yuris Mulya Saputra, Xingqin Lin, Cong T. Nguyen, Tedros Salih Abdu, Van Nhan Vo, Van-Quan Pham, Madyan Alsenwi, Abuzar Babikir Mohammad Adam, Symeon Chatzinotas, Eva Lagaunas, Hung Tran, Tu Ho Dac, Nguyen Van Huynh
https://…

Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
With the rapid development of technology, the number of smart mobile users is increasing, accompanied by growing demands from applications such as virtual/augmented reality (VR/XR), remote surgery, autonomous vehicles, and real-time holographic communications, all of which require high transmission rates and ultra-low latency in 6G and beyond networks (6G+). This poses enormous challenges in efficiently deploying large-scale networks, including network design, planning, troubleshooting, optimiz…

WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT
Lukas Schulthess, Silvano Cortesi, Michele Magno
https://arxiv.org/abs/2505.21529

WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT
Large-scale Internet of Things (IoT) applications, such as asset tracking and remote sensing, demand multi-year battery lifetimes to minimize maintenance and operational costs. Traditional wireless protocols often employ duty cycling, introducing a tradeoff between latency and idle consumption - both unsuitable for event-driven and ultra-low power systems. A promising approach to address these issues is the integration of always-on wake-up radios (WuRs). They provide asynchronous, ultra-low pow…