Tootfinder

caida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 23072 nodes and 78684 edges.
Tags: Technological, Communication, Unweighted, Temporal

France Becomes First Government to Endorse UN #OpenSource Principles, Joined by 19 Organizations
https://unite.un.org/fr/news/france-be

Widely Linear Augmented Extreme Learning Machine Based Impairments Compensation for Satellite Communications
Yang Luo, Arunprakash Jayaprakash, Gaojie Chen, Chong Huang, Qu Luo, De Mi, Pei Xiao
https://arxiv.org/abs/2506.14557

Widely Linear Augmented Extreme Learning Machine Based Impairments Compensation for Satellite Communications
Satellite communications are crucial for the evolution beyond fifth-generation networks. However, the dynamic nature of satellite channels and their inherent impairments present significant challenges. In this paper, a novel post-compensation scheme that combines the complex-valued extreme learning machine with augmented hidden layer (CELMAH) architecture and widely linear processing (WLP) is developed to address these issues by exploiting signal impropriety in satellite communications. Althoug…

En Suisse, un quart du trafic est généré par le tourisme
👉 Le tourisme: 25% du trafic global
👉 24% de ces déplacements en transports publics (TP)
👉 Fortes fluctuations (pics saisonniers/hebdomadaires)
👉 Défi important: part modale des TP pour le trafic de transit & transfrontalier
👉 Mieux exploiter le potentiel offert par l’offre TP couvrant l’ensemble du territoire national afin de mieux répartir la demande tout en tirant partie des capacités existantes

Communication Complexity of Exact Sampling under R\'enyi Information
Spencer Hill, Fady Alajaji, Tam\'as Linder
https://arxiv.org/abs/2506.12219 ht…

Communication Complexity of Exact Sampling under Rényi Information
We study the problem of communicating a sample from a probability distribution $P$ given shared access to a sequence distributed according to another probability distribution $Q$. Li and El Gamal used the Poisson functional representation to show that the minimum expected message length to communicate a sample from $P$ can be upper bounded by $D(P||Q) + \log (D(P||Q) + 1) + 4$, where $D(\, \cdot \, || \, \cdot\, )$ is the Kullback-Leibler divergence. We generalize …

On volumes and the generic invariance of Fano type varieties
Donghyeon Kim
https://arxiv.org/abs/2506.13603 https://arxiv.org/pdf/250…

On volumes and the generic invariance of Fano type varieties
We demonstrate the generic invariance of the Fano type property in cases where the volumes of anti-canonical divisors of Fano type fibers are a constant over a Zariski-dense subset, or the Fano type fibers are dimension $2$. Additionally, paralleling this theorem, we establish a conjecture by Schwede and Smith under the condition that the volumes of anti-canonical divisors remain constant in the reduction mod $p$.

Factor-Graph-Based Passive Acoustic Navigation for Decentralized Cooperative Localization Using Bearing Elevation Depth Difference
Kalliyan Velasco, Timothy W. McLain, Joshua G. Mangelson
https://arxiv.org/abs/2506.14690

Factor-Graph-Based Passive Acoustic Navigation for Decentralized Cooperative Localization Using Bearing Elevation Depth Difference
Accurate and scalable underwater multi-agent localization remains a critical challenge due to the constraints of underwater communication. In this work, we propose a multi-agent localization framework using a factor-graph representation that incorporates bearing, elevation, and depth difference (BEDD). Our method leverages inverted ultra-short baseline (inverted-USBL) derived azimuth and elevation measurements from incoming acoustic signals and relative depth measurements to enable cooperative …

CipherMind: The Longest Codebook in the World
Ming Nie, Zhixiong Yang, Bingsheng Wei
https://arxiv.org/abs/2506.15117 https://arxiv.o…

CipherMind:The Longest Codebook in the World
In recent years, the widespread application of large language models has inspired us to consider using inference for communication encryption. We therefore propose CipherMind, which utilizes intermediate results from deterministic fine-tuning of large model inferences as transmission content. The semantic parameters of large models exhibit characteristics like opaque underlying implementations and weak interpretability, thus enabling their use as an encryption method for data transmission. This…

Performance Analysis of Communication Signals for Localization in Underwater Sensor Networks
Ashwani Koul, Gustaf Hendeby, Isaac Skog
https://arxiv.org/abs/2506.13330

Performance Analysis of Communication Signals for Localization in Underwater Sensor Networks
Fusion of passive and active measurements from sensor nodes becomes critical in localizing underwater objects and is traditionally achieved by communicating information to a central node. This causes significant inefficiencies in bandwidth, energy, and processing time, which are critical in marine applications. With integrated sensing and communication (ISAC) systems, the process of sensing, localization, and communication can be achieved jointly, and the inefficiencies can be minimized. Thus, …

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Guojun Huang, Jiancheng An, Lu Gan, Dusit Niyato, M\'erouane Debbah, Tie Jun Cui
https://arxiv.org/abs/2506.12368

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Semantic communication (SemCom) powered by generative artificial intelligence enables highly efficient and reliable information transmission. However, it still necessitates the transmission of substantial amounts of data when dealing with complex scene information. In contrast, the stacked intelligent metasurface (SIM), leveraging wave-domain computing, provides a cost-effective solution for directly imaging complex scenes. Building on this concept, we propose an innovative SIM-aided multi-moda…