Tootfinder

We added an extension to test your Godot projects directly into Xogot:
https://github.com/xibbon/xogot_remote_debug

GitHub - xibbon/xogot_remote_debug
Contribute to xibbon/xogot_remote_debug development by creating an account on GitHub.

Remote ID Based UAV Collision Avoidance Optimization for Low-Altitude Airspace Safety
Ziye Jia, Yian Zhu, Qihui Wu, Lei Zhang, Sen Yang, Zhu Han
https://arxiv.org/abs/2508.07651

Remote ID Based UAV Collision Avoidance Optimization for Low-Altitude Airspace Safety
With the rapid development of unmanned aerial vehicles (UAVs), it is paramount to ensure safe and efficient operations in open airspaces. The remote identification (Remote ID) is deemed an effective real-time UAV monitoring system by the federal aviation administration, which holds potentials for enabling inter-UAV communications. This paper deeply investigates the application of Remote ID for UAV collision avoidance while minimizing communication delays. First, we propose a Remote ID based dis…

The ngscopeclient team is excited to announce our first official release, version 0.1, after many years of development.
This release includes contributions from 77 people across the globe and supports instruments from 23 vendors, running on all major operating systems.
https://www.ngscopec…

from my link log —
Making emacs tramp go brrrr.
https://coredumped.dev/2025/06/18/making-tramp-go-brrrr./
saved 2025-06-23

A hybrid dosimetry approach for remote audits in Ir-192 HDR interstitial brachytherapy: Development and pilot implementation
Eleftherios P Pappas, Vasiliki Peppa, Alexandra Drakopoulou, Eleni Velissariou, Zoi Thrapsanioti, Georgios Kollias, Efi Koutsouveli, Pantelis Karaiskos
https://arxiv.org/abs/2507.06958

A hybrid dosimetry approach for remote audits in Ir-192 HDR interstitial brachytherapy: Development and pilot implementation
Purpose: This work presents the development and pilot implementation of a comprehensive remote dosimetry audit for Ir-192 High Dose Rate interstitial brachytherapy, integrating experimental and computational dosimetry procedures into a unified workflow. TG43 and Model Based Dose Calculations Algorithms (MBDCAs) are both considered. Methods: A compact, water-equivalent phantom was designed to hold two catheters, ten Optically Stimulated Luminescent Dosimeters (OSLDs) and two radiochromic films, …

Invariant Features for Global Crop Type Classification
Xin-Yi Tong, Sherrie Wang
https://arxiv.org/abs/2509.03497 https://arxiv.org/pdf/2509.03497

Invariant Features for Global Crop Type Classification
Accurately obtaining crop type and its spatial distribution at a global scale is critical for food security, agricultural policy-making, and sustainable development. Remote sensing offers an efficient solution for large-scale crop classification, but the limited availability of reliable ground samples in many regions constrains applicability across geographic areas. To address performance declines under geospatial shifts, this study identifies remote sensing features that are invariant to geogr…

CyberArmor has a post up detailing abuse of the Vercel app development platform. Vercel is a legit tool that allows for the rapid creation of web applications. They have a free tier and unfortunately it gets abused. The free tier apps use the domain pattern *.vercel.app. I recommend blocking this domain and only allowing access to vetted sites using this domain name. Note that commercial sites using the Vercel platform will have their own domain names so your potential for collateral damage …

If you’d like U.S. forest lands to remain unpaved, speak now or forever hold your peace. 
U.S. Secretary of Agriculture Brooke Rollins just opened a 21-day public comment period on her proposal to ❌ rescind the Roadless Area Conservation Rule,
which has safeguarded 58 million acres of undeveloped national forest land from development and logging since 2001. 
Public lands at risk include 635,000 acres of “some of the most remote and ecologically intact landscapes in Los Padr…

Public Invited to Comment on Paving Los Padres National Forest
Forest Service accepting comments on rollback of Roadless Area Conservation Rule that protects undeveloped forest lands.

Euphonica is a Rust-Powered MPD Client Heavy on Bling
MPD (Music Player Daemon) is a server-client audio player long popular with Linux users. The headless daemon runs as a background service, typically on a remote audio server. Music is then accessed via a GUI client frontend, which connects to the MPD server to stream content.
🎶

Euphonica is a Rust-Powered MPD Client Heavy on Bling
Euphonica is a new Rust-based MPD frontend for Linux desktops, with 'bling' as a key feature. I showcase its design, features, and current development status.

Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding
Zifan Lang, Guixia Liu, Jiahui Li, Geng Sun, Zemin Sun, Jiacheng Wang, Dusit Niyato, Victor C. M. Leung
https://arxiv.org/abs/2509.01427

Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding
With the rapid development of low-altitude wireless networking, autonomous aerial vehicles (AAVs) have emerged as critical enablers for timely and reliable data delivery, particularly in remote or underserved areas. In this context, the age of information (AoI) has emerged as a critical performance metric for evaluating the freshness and timeliness of transmitted information in Internet of things (IoT) networks. However, conventional AAV-assisted data transmission is fundamentally limited by fi…

Well if Niels can do it, so can I! 😆
You can now support my work on #Jellyfin for #Roku using Buy Me a Coffee.
Your donation helps me continue development and helps me buy essential dev tools - such as new remote batteries. You wouldn't believe how quickly I go through these thi…

Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification
Shuying Gan, Xijun Wang, Chao Xu, Xiang Chen
https://arxiv.org/abs/2508.14575 https://

Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification
The emergence of new intelligent applications has fostered the development of a task-oriented communication paradigm, where a comprehensive, universal, and practical metric is crucial for unleashing the potential of this paradigm. To this end, we introduce an innovative metric, the Task-oriented Age of Information (TAoI), to measure whether the content of information is relevant to the system task, thereby assisting the system in efficiently completing designated tasks. We apply TAoI to a wirel…

RoCE BALBOA: Service-enhanced Data Center RDMA for SmartNICs
Maximilian Jakob Heer, Benjamin Ramhorst, Yu Zhu, Luhao Liu, Zhiyi Hu, Jonas Dann, Gustavo Alonso
https://arxiv.org/abs/2507.20412

RoCE BALBOA: Service-enhanced Data Center RDMA for SmartNICs
Data-intensive applications in data centers, especially machine learning (ML), have made the network a bottleneck, which in turn has motivated the development of more efficient network protocols and infrastructure. For instance, remote direct memory access (RDMA) has become the standard protocol for data transport in the cloud as it minimizes data copies and reduces CPU-utilization via host-bypassing. Similarly, an increasing amount of network functions and infrastructure have moved to accelera…

i reminded myself of an acronym i learned from a book i bought over 30 years ago
there was an amazing amount of _pnambic_ AI going on in the years before the launch of ChatGPT
i wonder how much of it still exists
eg i know there are two people employed as remote-operator drivers per google “driverless” car

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor
Yuhang Wang, Ang Li, Yihang Shao, Qiang Li, Yang Zhao, Shilong Pan
https://arxiv.org/abs/2507.22374

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor
The rapid development of AR/VR, remote sensing, satellite radar, and medical equipment has created an imperative demand for ultra efficient image compression and reconstruction that exceed the capabilities of electronic processors. For the first time, we demonstrate an end to end image compression and reconstruction approach using an optoelectronic computing processor,achieving orders of magnitude higher speed and lower energy consumption than electronic counterparts. At its core is a 32X32 sil…

Advancing Atmospheric Pollution Monitoring with Airborne THz Spectrometer
Candida Moffa, Alessandro Curcio, Camilla Merola, Daniele Francescone, Marco Magi, Massimiliano Coppola, Lucia Giuliano, Mauro Migliorati, Massimo Reverberi, Leonardo Mattiello, Massimo Petrarca
https://arxiv.org/abs/2507.00943

Advancing Atmospheric Pollution Monitoring with Airborne THz Spectrometer
This study details the development and validation of an airborne THz spectrometer designed for real-time, remote detection of atmospheric pollutants. The platform couples a stabilized unmanned aerial system (UAS) with a high-resolution terahertz continuous-wave (THz-CW) laser source and detector, enabling flexible, in situ spectroscopic analysis of dispersed atmospheric vapours. This proof-of-concept investigation confirms the feasibility of UAS-THz-CW systems for spatially resolved environment…

G-SEED: A Spatio-temporal Encoding Framework for Forest and Grassland Data Based on GeoSOT
Xuan Ouyang, Xinwen Yu, Yan Chen, Guang Deng, Xuanxin Liu
https://arxiv.org/abs/2506.18094

G-SEED: A Spatio-temporal Encoding Framework for Forest and Grassland Data Based on GeoSOT
In recent years, the rapid development of remote sensing, Unmanned Aerial Vehicles, and IoT technologies has led to an explosive growth in spatio-temporal forest and grassland data, which are increasingly multimodal, heterogeneous, and subject to continuous updates. However, existing Geographic Information Systems (GIS)-based systems struggle to integrate and manage of such large-scale and diverse data sources. To address these challenges, this paper proposes G-SEED (GeoSOT-based Scalable Encod…

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…