Tootfinder

Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems
Egemen Erbayat, Ali Maatouk, Peng Zou, Suresh Subramaniam
https://arxiv.org/abs/2404.08638

Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems
In this paper, we examine a multi-sensor system where each sensor may monitor more than one time-varying information process and send status updates to a remote monitor over a single channel. We consider that each sensor's status update may contain information about more than one information process in the system subject to the system's constraints. To investigate the impact of this correlation on the overall system's performance, we conduct an analysis of both the average Age of Information an…

In a world overflowing with information, how can we adapt our learning methods to thrive?
Dave Cormier, a pioneering figure in digital education, presents a thought-provoking manifesto in "Learning in a Time of Abundance".
Measuring knowledge through memorization and grades made more sense in a world where information was hard to come by.
Cormier explores the cultural and teaching changes necessary to adapt in the digital age while emphasizing the importance of …

This https://arxiv.org/abs/2312.06499 has been replaced.
link: https://scholar.google.com/scholar?q=a

TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability
The fairness of Natural Language Processing (NLP) models has emerged as a crucial concern. Information theory indicates that to achieve fairness, a model should not be able to predict sensitive variables, such as gender, ethnicity, and age. However, information related to these variables often appears implicitly in language, posing a challenge in identifying and mitigating biases effectively. To tackle this issue, we present a novel approach that operates at the embedding level of an NLP model,…

Online Digital Twin-Empowered Content Resale Mechanism in Age of Information-Aware Edge Caching Networks
Yuhan Yi, Guanglin Zhang, Hai Jiang
https://arxiv.org/abs/2403.07868

Online Digital Twin-Empowered Content Resale Mechanism in Age of Information-Aware Edge Caching Networks
For users requesting popular contents from content providers, edge caching can alleviate backhaul pressure and enhance the quality of experience of users. Recently there is also a growing concern about content freshness that is quantified by age of information (AoI). Therefore, AoI-aware online caching algorithms are required, which is challenging because the content popularity is usually unknown in advance and may vary over time. In this paper, we propose an online digital twin (DT) empowered …

Das Werk "20 Tage in Mariupol" hat den Oscar als bester Dokumentarfilm gewonnen.
<e>https://www.daserste.de/information/reportage-dokumentation/dokus/videos/20-tage-in-mariupol-video-100.html&lt…

20 Tage in Mariupol | Dokumentation & Reportage
20 Tage in Mariupol

Protoboard Z80 Computer Teaches the Basics
https://poliverso.org/display/0477a01e-80f859c5-f3f5a2b1b704b6c4
Protoboard Z80 Computer Teaches the Basics As curious people, we’re all incredibly fortunate to live in an age where information can so easil…

What the Information Operation about Joe Biden's Age Looks Like (emptywheel)
https://www.emptywheel.net/2024/03/04/what-the-information-operation-about-joe-bidens-age-looks-like/
http://www.memeorandum.com/240304/p15#a240304p15

Online Digital Twin-Empowered Content Resale Mechanism in Age of Information-Aware Edge Caching Networks
Yuhan Yi, Guanglin Zhang, Hai Jiang
https://arxiv.org/abs/2403.07868

Online Digital Twin-Empowered Content Resale Mechanism in Age of Information-Aware Edge Caching Networks
For users requesting popular contents from content providers, edge caching can alleviate backhaul pressure and enhance the quality of experience of users. Recently there is also a growing concern about content freshness that is quantified by age of information (AoI). Therefore, AoI-aware online caching algorithms are required, which is challenging because the content popularity is usually unknown in advance and may vary over time. In this paper, we propose an online digital twin (DT) empowered …

Doku-Tipp:
https://www.daserste.de/information/reportage-dokumentation/dokus/sendung/amerikas-grosse-seen-folge-1-100.html

Amerikas Große Seen (1) | Dokumentation & Reportage
Eine Kette von Seen, so weit wie ein Ozean: Die "Great Lakes" Nordamerikas sind aus Gletschern der letzten Eiszeit entstanden und speichern ein Fünftel der oberirdischen Süßwasserreserven. An ihren Ufern gibt es eine Vielfalt wilder Tiere.

Remember the 13 year old who crashed a $300,000 Lamborghini Huracšn into a ditch in West Van in March?
“West Vancouver police released more details around the events that led to a 13-year-old crashing a Lamborghini Huracšn into a ditch off Highway 1…
The sports car was in the process of being sold and the owner who handed over the keys didn't know the age of the driver, police said on Friday.”
WTAF!? Yeah - ICBC ain’t covering that, asshole. 🤦🏼‍♂️

Police release more details after 13-year-old totals Lamborghini in West Vancouver | CBC News
West Vancouver police release information around the events that led to a 13-year-old crashing a Lamborghini Huracan into a ditch along Highway 1.

Tickets are going fast, so book soon if you're coming to the event the British Library are doing with the Guardian: 'Safeguarding Tomorrow: The impact of AI in media & information industries' is Monday, 11 March 2024 – conference 14:00 – 17:20 with a networking reception 17:30 - 19:00 GMT. The main topics are 'Copyright in the age of algorithms' and 'Understanding and addressing AI generated misinformation and bias'. Panellists represent politics, authors and …

This https://arxiv.org/abs/2404.05985 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Boosting Digital Safeguards: Blending Cryptography and Steganography
In today's digital age, the internet is essential for communication and the sharing of information, creating a critical need for sophisticated data security measures to prevent unauthorized access and exploitation. Cryptography encrypts messages into a cipher text that is incomprehensible to unauthorized readers, thus safeguarding data during its transmission. Steganography, on the other hand, originates from the Greek term for "covered writing" and involves the art of hiding data within anothe…

"In an age where technology can easily mislead or overwhelm, trusting in #humancuration becomes not a preference but a necessity for preserving the quality of the information that shapes our understanding of the world.
Across the Fediverse and beyond, respected voices are leveraging platforms like Mastodon and their websites to share personally vetted links, analysis, and creations.…

Curation is the last best hope of intelligent discourse. — Joan Westenberg
Through tools like ChatGPT, anyone can conjure up rewritten Wikipedia articles, essays, code, poetry, and more with just a few prompts. This "democratisation" of content creation is pitched as The Great Promise to empower voices previously unheard. But democratisation is, arguably, a misno

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
Timothee Mickus, Stig-Arne Gr\"onroos, Joseph Attieh, Michele Boggia, Ona De Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Ra\'ul V\'azquez, J\"org Tiedemann
https://arxiv.org/abs/2403.07544…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. In this paper, we present the MAMMOTH toolkit: a framework designed for training massively multilingual modular machine translation systems at scale, initially derived from OpenNMT-py and then adapted to ensure effici…

Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis
Juan Carlos Ruiz-Garcia, Carlos Hojas, Ruben Tolosana, Ruben Vera-Rodriguez, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Jaime Herreros-Rodriguez
https://arxiv.org/abs/2403.04574

Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis
This article proposes a novel Children-Computer Interaction (CCI) approach for the task of age group detection. This approach focuses on the automatic analysis of the time series generated from the interaction of the children with mobile devices. In particular, we extract a set of 25 time series related to spatial, pressure, and kinematic information of the children interaction while colouring a tree through a pen stylus tablet, a specific test from the large-scale public ChildCIdb database. …

Sad week ->
Vernor Vinge, father of the tech singularity, has died at age 79 | Ars Technica
https://arstechnica.com/information-technology/2024/03/vernor-vinge-father-of-the-tech-singularity-has-died-a…

Vernor Vinge, father of the tech singularity, has died at age 79
Vinge won multiple Hugo awards and created a sci-fi concept that drives AI researchers.

For those wondering, this is already effectively in place in the United States. Under the Children's Online Privacy Protection Act (COPPA) passed in 1998, websites are prohibited from collecting information from children under the age of 13 without parental permission. The official terms of service for effectively all social media sites require that you are older than age 13 to sign up. Verification and enforcement is a different issue.

Age-of-Information-Aware Distributed Task Offloading and Resource Allocation in Mobile Edge Computing Networks
Minwoo Kim, Jonggyu Jang, Youngchol Choi, Hyun Jong Yang
https://arxiv.org/abs/2404.03154

Age-of-Information-Aware Distributed Task Offloading and Resource Allocation in Mobile Edge Computing Networks
The growth in artificial intelligence (AI) technology has attracted substantial interests in age-of-information (AoI)-aware task offloading of mobile edge computing (MEC)-namely, minimizing service latency. Additionally, the use of MEC systems poses an additional problem arising from limited battery resources of MDs. This paper tackles the pressing challenge of AoI-aware distributed task offloading optimization, where user association (UA), resource allocation (RA), full-task offloading, and ba…

The Ministry of Foreign Affairs of Ukraine explained when services for men of mobilization age in diplomatic missions will be restored: https://benborges.xyz/2024/04/24/the-ministry-of.html

Ofcom opens an investigation into OnlyFans over its measures to stop children from accessing porn, after reviewing its "response to formal information requests" (Yadarisa Shabong/Reuters)
https://www.reuters.com/technology/onlyfan

Recently began reading "Fancy Bear Goes Phishing: The Dark History of the Information Age, in Five Extraordinary Hacks" #xz would fit in quite well, too…

Age of Information and Energy Consumption in IoT: an Experimental Evaluation
Federico Cristofani, Valerio Luconi, Alessio Vecchio
https://arxiv.org/abs/2405.05849

Age of Information and Energy Consumption in IoT: an Experimental Evaluation
The Age of Information (AoI) is an end-to-end metric frequently used to understand how "fresh" the information about a remote system is. In this paper, we present an experimental study of the relationship between AoI and the energy spent by the device that produces information, e.g. an IoT device or a monitoring sensor. Such a relationship has been almost neglected so far, but it is particularly important whenever the sensing side is battery-operated. The study is carried out in a scenario wher…

Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation
Yousef Emami, Hao Gao, Kai Li, Luis Almeida, Eduardo Tovar, Zhu Han
https://arxiv.org/abs/2405.00056

Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation
Unmanned Aerial Vehicle (UAV) swarms play an effective role in timely data collection from ground sensors in remote and hostile areas. Optimizing the collective behavior of swarms can improve data collection performance. This paper puts forth a new mean field flight resource allocation optimization to minimize age of information (AoI) of sensory data, where balancing the trade-off between the UAVs movements and AoI is formulated as a mean field game (MFG). The MFG optimization yields an expansi…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
Timothee Mickus, Stig-Arne Gr\"onroos, Joseph Attieh, Michele Boggia, Ona De Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Ra\'ul V\'azquez, J\"org Tiedemann
https://arxiv.org/abs/2403.07544…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. In this paper, we present the MAMMOTH toolkit: a framework designed for training massively multilingual modular machine translation systems at scale, initially derived from OpenNMT-py and then adapted to ensure effici…

Sampling to Achieve the Goal: An Age-aware Remote Markov Decision Process
Aimin Li, Shaohua Wu, Gary C. F. Lee, Xiaomeng Cheng, Sumei Sun
https://arxiv.org/abs/2405.02042

Sampling to Achieve the Goal: An Age-aware Remote Markov Decision Process
Age of Information (AoI) has been recognized as an important metric to measure the freshness of information. Central to this consensus is that minimizing AoI can enhance the freshness of information, thereby facilitating the accuracy of subsequent decision-making processes. However, to date the direct causal relationship that links AoI to the utility of the decision-making process is unexplored. To fill this gap, this paper provides a sampling-control co-design problem, referred to as an age-aw…

I can’t help thinking that whoever is pushing QR codes as a solution for connecting folk to information and services hasn’t realised how cheaply and easily the hack to subvert them is…. they’re called stickers 🤦‍♂️ https://qrcode.co.uk/blog/fake-qr-code-scams/

"I began surfing the waves of the information superhighway." - @…, showing his age.
#phptek

New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
Rachel Xu, Nhu Le, Rebekah Park, Laura Murray, Vishnupriya Das, Devika Kumar, Beth Goldberg
https://arxiv.org/abs/2405.02522

New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
We conducted an in-person ethnography in India and the US to investigate how young people (18-24) trusted online content, with a focus on generative AI (GenAI). We had four key findings about how young people use GenAI and determine what to trust online. First, when online, we found participants fluidly shifted between mindsets and emotional states, which we term "information modes." Second, these information modes shaped how and why participants trust GenAI and how they applied literacy skills…

Daily Inspiration: "It's the era of multiple knowledge partners. Because you can no longer know it alone!" - Futurist Jim Carroll
Of all the books I've written, I am proudest of "Surviving the Information Age," which was co-written with my wife Christa. Brought to print in 1997, it's a work that looked back at the past of technology and the relationship people had to that point in time, but also involved a look forward to the trends that would define our…

Optimizing Peak Age of Information in MEC Systems: Computing Preemption and Non-preemption
Jianhang Zhu, Jie Gong
https://arxiv.org/abs/2404.02700 https://…

Optimizing Peak Age of Information in MEC Systems: Computing Preemption and Non-preemption
The freshness of information in real-time monitoring systems has received increasing attention, with Age of Information (AoI) emerging as a novel metric for measuring information freshness. In many applications, update packets need to be computed before being delivered to a destination. Mobile edge computing (MEC) is a promising approach for efficiently accomplishing the computing process, where the transmission process and computation process are coupled, jointly affecting freshness. In this p…

Exact Analysis of the Age of Information in the Multi-Source M/GI/1 Queueing System
Yoshiaki Inoue, Tetsuya Takine
https://arxiv.org/abs/2404.05167 https:/…

Exact Analysis of the Age of Information in the Multi-Source M/GI/1 Queueing System
We consider a situation that multiple monitoring applications (each with a different sensor-monitor pair) compete for a common service resource such as a communication link. Each sensor reports the latest state of its own time-varying information source to its corresponding monitor, incurring queueing and processing delays at the shared resource. The primary performance metric of interest is the age of information (AoI) of each sensor-monitor pair, which is defined as the elapsed time from the …

Boosting Digital Safeguards: Blending Cryptography and Steganography
Anamitra Maiti, Subham Laha, Rishav Upadhaya, Soumyajit Biswas, Vikas Choudhary, Biplab Kar, Nikhil Kumar, Jaydip Sen
https://arxiv.org/abs/2404.05985

Boosting Digital Safeguards: Blending Cryptography and Steganography
In today's digital age, the internet is essential for communication and the sharing of information, creating a critical need for sophisticated data security measures to prevent unauthorized access and exploitation. Cryptography encrypts messages into a cipher text that is incomprehensible to unauthorized readers, thus safeguarding data during its transmission. Steganography, on the other hand, originates from the Greek term for "covered writing" and involves the art of hiding data within anothe…

zoomies: A tool to infer stellar age from vertical action in Gaia data
Sheila Sagear (Lucy), Adrian M. Price-Whelan (Lucy), Sarah Ballard (Lucy), Yuxi (Lucy), Lu, Ruth Angus, David W. Hogg
https://arxiv.org/abs/2403.09878

zoomies: A tool to infer stellar age from vertical action in Gaia data
Stellar age measurements are fundamental to understanding a wide range of astronomical processes, including galactic dynamics, stellar evolution, and planetary system formation. However, extracting age information from Main Sequence stars is complicated, with techniques often relying on age proxies in the absence of direct measurements. The Gaia data releases have enabled detailed studies of the dynamical properties of stars within the Milky Way, offering new opportunities to understand the rel…

New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
Rachel Xu, Nhu Le, Rebekah Park, Laura Murray, Vishnupriya Das, Devika Kumar, Beth Goldberg
https://arxiv.org/abs/2405.02522

New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
We conducted an in-person ethnography in India and the US to investigate how young people (18-24) trusted online content, with a focus on generative AI (GenAI). We had four key findings about how young people use GenAI and determine what to trust online. First, when online, we found participants fluidly shifted between mindsets and emotional states, which we term "information modes." Second, these information modes shaped how and why participants trust GenAI and how they applied literacy skills…

This https://arxiv.org/abs/2405.00056 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation
Unmanned Aerial Vehicle (UAV) swarms play an effective role in timely data collection from ground sensors in remote and hostile areas. Optimizing the collective behavior of swarms can improve data collection performance. This paper puts forth a new mean field flight resource allocation optimization to minimize age of information (AoI) of sensory data, where balancing the trade-off between the UAVs movements and AoI is formulated as a mean field game (MFG). The MFG optimization yields an expansi…

Herbert Kroemer, Nobel winner who developed laser tech, dies at 95
#Herbert #Kroemer, a Nobel Prize-winning physicist who spearheaded the development of a new kind of semiconductor, leading to Information Age advances at the heart of everything from bar-code scanners, CD players and cellphones to satellite communi…

Herbert Kroemer, Nobel winner who developed laser tech, dies at 95
The German-born physicist developed a new kind of semiconductor that became crucial to the development of cellphones, CD players and fiber-optic networks.

This https://arxiv.org/abs/2401.08217 has been replaced.
link: https://scholar.google.com/scholar?q=a

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation
As personalized recommendation systems become vital in the age of information overload, traditional methods relying solely on historical user interactions often fail to fully capture the multifaceted nature of human interests. To enable more human-centric modeling of user preferences, this work proposes a novel explainable recommendation framework, i.e., LLMHG, synergizing the reasoning capabilities of large language models (LLMs) and the structural advantages of hypergraph neural networks. By …

Optimal Denial-of-Service Attacks Against Status Updating
Saad Kriouile, Mohamad Assaad, Deniz G\"und\"uz, Touraj Soleymani
https://arxiv.org/abs/2403.04489

Optimal Denial-of-Service Attacks Against Status Updating
In this paper, we investigate denial-of-service attacks against status updating. The target system is modeled by a Markov chain and an unreliable wireless channel, and the performance of status updating in the target system is measured based on two metrics: age of information and age of incorrect information. Our objective is to devise optimal attack policies that strike a balance between the deterioration of the system's performance and the adversary's energy. We model the optimal problem as a…

DistriFS: A Platform and User Agnostic Approach to File Distribution
Julian Boesch
https://arxiv.org/abs/2402.13387 https://arxiv.org…

DistriFS: A Platform and User Agnostic Approach to File Distribution
In an age where the distribution of information is crucial, current file sharing solutions suffer significant deficiencies. Popular systems such as Google Drive, torrenting and IPFS suffer issues with compatibility, accessibility and censorship. This paper introduces DistriFS, a novel decentralized approach tailored for efficient and large-scale distribution of files. The architecture of DistriFS is grounded in three foundational pillars: scalability, security, and seamless integration. The pro…

Herbert Kroemer, Nobel winner who developed laser tech, dies at 95
#Herbert #Kroemer, a Nobel Prize-winning physicist who spearheaded the development of a new kind of semiconductor, leading to Information Age advances at the heart of everything from bar-code scanners, CD players and cellphones to satellite communi…

Herbert Kroemer, Nobel winner who developed laser tech, dies at 95
The German-born physicist developed a new kind of semiconductor that became crucial to the development of cellphones, CD players and fiber-optic networks.

Relation between Value and Age of Information in Feedback Control
Touraj Soleymani, John S. Baras, Karl H. Johansson
https://arxiv.org/abs/2403.11926 https…

Relation between Value and Age of Information in Feedback Control
In this chapter, we investigate the value of information as a more comprehensive instrument than the age of information for optimally shaping the information flow in a networked control system. In particular, we quantify the value of information based on the variation in a value function, and discuss the structural properties of this metric. Through our analysis, we establish the mathematical relation between the value of information and the age of information. We prove that the value of inform…

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Xingran Chen, Navid NaderiAlizadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti
https://arxiv.org/abs/2404.03227

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
We address the challenge of sampling and remote estimation for autoregressive Markovian processes in a multi-hop wireless network with statistically-identical agents. Agents cache the most recent samples from others and communicate over wireless collision channels governed by an underlying graph topology. Our goal is to minimize time-average estimation error and/or age of information with decentralized scalable sampling and transmission policies, considering both oblivious (where decision-makin…

IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators
Luyang Lin, Lingzhi Wang, Jinsong Guo, Jing Li, Kam-Fai Wong
https://arxiv.org/abs/2403.13446

IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators
In the age of information overload and polarized discourse, understanding media bias has become imperative for informed decision-making and fostering a balanced public discourse. This paper presents IndiTag, an innovative online media bias analysis and annotation system that leverages fine-grained bias indicators to dissect and annotate bias in digital content. IndiTag offers a novel approach by incorporating large language models, bias indicator, vector database to automatically detect and int…

This https://arxiv.org/abs/2402.15614 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Spatial Variations of Stellar Elemental Abundances in FIRE Simulations of Milky Way-Mass Galaxies: Patterns Today Mostly Reflect Those at Formation
Spatial patterns of stellar elemental abundances encode rich information about a galaxy's formation history. We analyze the radial, vertical, and azimuthal variations of metals in stars, both today and at formation, in the FIRE-2 cosmological simulations of Milky Way (MW)-mass galaxies, and we compare with the MW. The radial gradient today is steeper (more negative) for younger stars, which agrees with the MW, although radial gradients are shallower in FIRE-2. Importantly, this age dependence w…

Effect of Magnetic Anisotropy Constants on Skyrmion Formation in Co/Pt
Tamali Mukherjee, V Satya Narayana Murthy
https://arxiv.org/abs/2402.16060 https://<…

Effect of Magnetic Anisotropy Constants on Skyrmion Formation in Co/Pt
Skyrmions, which are topologically stable magnetic structures, have manifested promising features to be used as an information carrier in new-age, non-volatile data storage devices. In this article, we show how the creation and stability of skyrmion can be manipulated by external stimuli (here, nano-second current pulse). Co/Pt square nano-structure with Co free layer thickness in the range 1 nm to 5 nm and first and second-order anisotropy constants are taken to study the controlled creation o…

This https://arxiv.org/abs/2404.13939 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
A common goal in clinical trials is to conduct tests on estimated treatment effects adjusted for covariates such as age or sex. Analysis of Covariance (ANCOVA) is often used in these scenarios to test the global null hypothesis of no treatment effect using an $F$-test. However, in several samples, the $F$-test does not provide any information about individual null hypotheses and has strict assumptions such as variance homoscedasticity. We extend the method proposed by Konietschke et al. (2021) …

Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach
Mohammad Heydari, Babak Teimourpour
https://arxiv.org/abs/2402.12272

Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach
The rise of the Internet and the exponential increase in data have made manual data summarization and analysis a challenging task. Instagram social network is a prominent social network widely utilized in Iran for information sharing and communication across various age groups. The inherent structure of Instagram, characterized by its text-rich content and graph-like data representation, enables the utilization of text and graph processing techniques for data analysis purposes. The degree distr…

This https://arxiv.org/abs/2401.08217 has been replaced.
link: https://scholar.google.com/scholar?q=a

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation
As personalized recommendation systems become vital in the age of information overload, traditional methods relying solely on historical user interactions often fail to fully capture the multifaceted nature of human interests. To enable more human-centric modeling of user preferences, this work proposes a novel explainable recommendation framework, i.e., LLMHG, synergizing the reasoning capabilities of large language models (LLMs) and the structural advantages of hypergraph neural networks. By …

This https://arxiv.org/abs/2404.01276 has been replaced.
link: https://scholar.google.com/scholar?q=a

Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information
The Age of Incorrect Information (AoII) is examined within the context of remote monitoring of a Markov source using variable-length stop-feedback (VLSF) coding. Leveraging recent results on the non-asymptotic channel coding rate, we consider sources with small cardinality, where feedback is non-instantaneous as the transmitted information and feedback message have comparable lengths. We focus on the feedback sequence, i.e. the times of feedback transmissions, and derive AoII-optimal and delay-…

Age-minimal Multicast by Graph Attention Reinforcement Learning
Yanning Zhang, Guocheng Liao, Shengbin Cao, Ning Yang, Meng Zhang
https://arxiv.org/abs/2404.18084

Age-minimal Multicast by Graph Attention Reinforcement Learning
Age of Information (AoI) is an emerging metric used to assess the timeliness of information, gaining research interest in real-time multicast applications such as video streaming and metaverse platforms. In this paper, we consider a dynamic multicast network with energy constraints, where our objective is to minimize the expected time-average AoI through energy-constrained multicast routing and scheduling. The inherent complexity of the problem, given the NP-hardness and intertwined scheduling …

This https://arxiv.org/abs/2404.18084 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Age-minimal Multicast by Graph Attention Reinforcement Learning
Age of Information (AoI) is an emerging metric used to assess the timeliness of information, gaining research interest in real-time multicast applications such as video streaming and metaverse platforms. In this paper, we consider a dynamic multicast network with energy constraints, where our objective is to minimize the expected time-average AoI through energy-constrained multicast routing and scheduling. The inherent complexity of the problem, given the NP-hardness and intertwined scheduling …

This https://arxiv.org/abs/2312.07159 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Rate-Splitting Multiple Access for Semantic-Aware Networks: an Age of Incorrect Information Perspective
In this letter, we design a downlink multi-user communication framework based on Rate-Splitting Multiple Access (RSMA) for semantic-aware networks. First, we formulate an optimization problem to obtain the optimal user scheduling, precoding, and power allocation schemes jointly. We consider the metric Age of Incorrect Information (AoII) in the objective function of the formulated problem to maximize the freshness of the overall information to be transmitted. Using big-M and Successive Convex Ap…

Spatial Variations of Stellar Elemental Abundances in FIRE Simulations of Milky Way-Mass Galaxies: Patterns Today Mostly Reflect Those at Formation
Russell L. Graf, Andrew Wetzel, Matthew A. Bellardini, Jeremy Bailin
https://arxiv.org/abs/2402.15614

Spatial Variations of Stellar Elemental Abundances in FIRE Simulations of Milky Way-Mass Galaxies: Patterns Today Mostly Reflect Those at Formation
Spatial patterns of stellar elemental abundances encode rich information about a galaxy's formation history. We analyze the radial, vertical, and azimuthal variations of metals in stars, both today and at formation, in the FIRE-2 cosmological simulations of Milky Way (MW)-mass galaxies, and we compare with the MW. The radial gradient today is steeper (more negative) for younger stars, which agrees with the MW, although radial gradients are shallower in FIRE-2. Importantly, this age dependence w…

Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
Matthias Becher, Ludwig A. Hothorn, Frank Konietschke
https://arxiv.org/abs/2404.13939

Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
A common goal in clinical trials is to conduct tests on estimated treatment effects adjusted for covariates such as age or sex. Analysis of Covariance (ANCOVA) is often used in these scenarios to test the global null hypothesis of no treatment effect using an $F$-test. However, in several samples, the $F$-test does not provide any information about individual null hypotheses and has strict assumptions such as variance homoscedasticity. We extend the method proposed by Konietschke et al. (2021) …

This https://arxiv.org/abs/2404.01276 has been replaced.
link: https://scholar.google.com/scholar?q=a

Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information
The Age of Incorrect Information (AoII) is examined within the context of remote monitoring of a Markov source using variable-length stop-feedback (VLSF) coding. Leveraging recent results on the non-asymptotic channel coding rate, we consider sources with small cardinality, where feedback is non-instantaneous as the transmitted information and feedback message have comparable lengths. We focus on the feedback sequence, i.e. the times of feedback transmissions, and derive AoII-optimal and delay-…

This https://arxiv.org/abs/2402.09820 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Enhancing Cybersecurity Resilience in Finance with Deep Learning for Advanced Threat Detection
In the age of the Internet, people's lives are increasingly dependent on today's network technology. However, network technology is a double-edged sword, bringing convenience to people but also posing many security challenges. Maintaining network security and protecting the legitimate interests of users is at the heart of network construction. Threat detection is an important part of a complete and effective defense system. In the field of network information security, the technical update of n…

This https://arxiv.org/abs/2404.08638 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems
In this paper, we examine a multi-sensor system where each sensor may monitor more than one time-varying information process and send status updates to a remote monitor over a single channel. We consider that each sensor's status update may contain information about more than one information process in the system subject to the system's constraints. To investigate the impact of this correlation on the overall system's performance, we conduct an analysis of both the average Age of Information an…

Timely Status Updates in Slotted ALOHA Network With Energy Harvesting
Khac-Hoang Ngo, Giuseppe Durisi, Andrea Munari, Francisco L\'azaro, Alexandre Graell i Amat
https://arxiv.org/abs/2404.18990

Timely Status Updates in Slotted ALOHA Network With Energy Harvesting
We investigate the age of information (AoI) in a scenario where energy-harvesting devices send status updates to a gateway following the slotted ALOHA protocol and receive no feedback. We let the devices adjust the transmission probabilities based on their current battery level. Using a Markovian analysis, we derive analytically the average AoI. We further provide an approximate analysis for accurate and easy-to-compute approximations of both the average AoI and the age-violation probability (A…

Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
Matthias Becher, Ludwig A. Hothorn, Frank Konietschke
https://arxiv.org/abs/2404.13939

Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
A common goal in clinical trials is to conduct tests on estimated treatment effects adjusted for covariates such as age or sex. Analysis of Covariance (ANCOVA) is often used in these scenarios to test the global null hypothesis of no treatment effect using an $F$-test. However, in several samples, the $F$-test does not provide any information about individual null hypotheses and has strict assumptions such as variance homoscedasticity. We extend the method proposed by Konietschke et al. (2021) …

Enhancing Cybersecurity Resilience in Finance with Deep Learning for Advanced Threat Detection
Yulu Gong, Mengran Zhu, Shuning Huo, Yafei Xiang, Hanyi Yu
https://arxiv.org/abs/2402.09820

Enhancing Cybersecurity Resilience in Finance with Deep Learning for Advanced Threat Detection
In the age of the Internet, people's lives are increasingly dependent on today's network technology. However, network technology is a double-edged sword, bringing convenience to people but also posing many security challenges. Maintaining network security and protecting the legitimate interests of users is at the heart of network construction. Threat detection is an important part of a complete and effective defense system. In the field of network information security, the technical update of n…

Age of $(k,n)$-Threshold Signature Scheme on a Gossip Network
Erkan Bayram, Melih Bastopcu, Mohamed-Ali Belabbas, Tamer Ba\c{s}ar
https://arxiv.org/abs/2402.11462

Age of $(k,n)$-Threshold Signature Scheme on a Gossip Network
We consider information update systems on a gossip network, which consists of a single source and $n$ receiver nodes. The source encrypts the information into $n$ distinct keys with version stamps, sending a unique key to each node. For decryption in a $(k, n)$-Threshold Signature Scheme, each receiver node requires at least $k+1$ different keys with the same version, shared over peer-to-peer connections. We consider two different schemes: a memory scheme (in which the nodes keep the source's c…