Tootfinder

OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs
Jiahao Nick Li, Yan Xu, Tovi Grossman, Stephanie Santosa, Michelle Li
https://arxiv.org/abs/2405.03901

OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs
The progression to "Pervasive Augmented Reality" envisions easy access to multimodal information continuously. However, in many everyday scenarios, users are occupied physically, cognitively or socially. This may increase the friction to act upon the multimodal information that users encounter in the world. To reduce such friction, future interactive interfaces should intelligently provide quick access to digital actions based on users' context. To explore the range of possible digital actions,…

Study finds that we could lose science if publishers go bankrupt
Back when scientific publications came in paper form, libraries played a key role in ensuring that knowledge didn't disappear. Copies went out to so many libraries that any failure—a publisher going bankrupt, a library getting closed—wouldn't put us at risk of losing information.
But, as with anything else, scientific content has gone digital, which has changed what's involved with preservation.
O…

Study finds that we could lose science if publishers go bankrupt
A scan of archives shows that lots of scientific papers aren't backed up.

Explainability for Transparent Conversational Information-Seeking
Weronika {\L}ajewska, Damiano Spina, Johanne Trippas, Krisztian Balog
https://arxiv.org/abs/2405.03303

Explainability for Transparent Conversational Information-Seeking
The increasing reliance on digital information necessitates advancements in conversational search systems, particularly in terms of information transparency. While prior research in conversational information-seeking has concentrated on improving retrieval techniques, the challenge remains in generating responses useful from a user perspective. This study explores different methods of explaining the responses, hypothesizing that transparency about the source of the information, system confidenc…

"What can a #museum do to guarantee that the data, information & stories added by the public would have the historical source value throughout the time in the future?
While recording and storing information, we must also record & store the background data of the information to each description: who enters it; time & place & situation; and all the additional sources."

Description creation for museum objects in a digital environment. Co-creation - University Heritage
Museums are skilful in using digital opportunities to offer information. Technology gives also an opportunity to involve people in creating the content and descriptions of museum objects. There are several projects in Estonia inviting people to send material (especially digital images) to a museum. Modern data gathering methods make it fast and easy supporting the […]

This https://arxiv.org/abs/2405.04104 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum dots and cryogenic radio-frequency readout electronics implemented on a fully-depleted silicon-on-insulator multi-chip assembly
Quantum processing units will be modules of larger information processing systems containing also digital and analog electronics modules. Silicon-based quantum computing offers the enticing opportunity to manufacture all the modules using the same technology platform. Here, we present a cryogenic multi-module assembly for multiplexed readout of silicon quantum devices where all modules have been fabricated using the same fully-depleted silicon-on-insulator (FDSOI) CMOS process. The assembly is …

Picking watermarks from noise (PWFN): an improved robust watermarking model against intensive distortions
Sijing Xie, Chengxin Zhao, Nan Sun, Wei Li, Hefei Ling
https://arxiv.org/abs/2405.05170

Picking watermarks from noise (PWFN): an improved robust watermarking model against intensive distortions
Digital watermarking is the process of embedding secret information by altering images in a way that is undetectable to the human eye. To increase the robustness of the model, many deep learning-based watermarking methods use the encoder-decoder architecture by adding different noises to the noise layer. The decoder then extracts the watermarked information from the distorted image. However, this method can only resist weak noise attacks. To improve the robustness of the algorithm against stron…

Cybersecurity for Modern Smart Grid against Emerging Threats
Daisuke Mashima, Yao Chen, Muhammad M. Roomi, Subhash Lakshminarayana, Deming Chen
https://arxiv.org/abs/2404.04466

Cybersecurity for Modern Smart Grid against Emerging Threats
Smart Grid is a power grid system that uses digital communication technologies. By deploying intelligent devices throughout the power grid infrastructure,from power generation to consumption, and enabling communication among them, it revolutionizes the modern power grid industry with increased efficiency, reliability, and availability. However, reliance on information and communication technologies has also made the smart grids exposed to new vulnerabilities and complications that may negativel…

Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network
Daniel Panangian, Ksenia Bittner
https://arxiv.org/abs/2404.03930 htt…

Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network
A low-resolution digital surface model (DSM) features distinctive attributes impacted by noise, sensor limitations and data acquisition conditions, which failed to be replicated using simple interpolation methods like bicubic. This causes super-resolution models trained on synthetic data does not perform effectively on real ones. Training a model on real low and high resolution DSMs pairs is also a challenge because of the lack of information. On the other hand, the existence of other imaging m…

This https://arxiv.org/abs/2311.13488 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Machine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System
As Information and Communication Technology (ICT) equipment continues to be integrated into power systems, issues related to cybersecurity are increasingly emerging. Particularly noteworthy is the transition to digital substations, which is shifting operations from traditional hardwired-based systems to communication-based Supervisory Control and Data Acquisition (SCADA) system operations. These changes in the power system have increased the vulnerability of the system to cyber-attacks and emph…

Note: Harnessing Tellurium Nanoparticles in the Digital Realm Plasmon Resonance, in the Context of Brewster's Angle and the Drude Model for Fake News Adsorption in Incomplete Information Games
Yasuko Kawahata
https://arxiv.org/abs/2403.03239

Note: Harnessing Tellurium Nanoparticles in the Digital Realm Plasmon Resonance, in the Context of Brewster's Angle and the Drude Model for Fake News Adsorption in Incomplete Information Games
This note explores the innovative application of soliton theory and plasmonic phenomena in modeling user behavior and engagement within digital health platforms. By introducing the concept of soliton solutions, we present a novel approach to understanding stable patterns of health improvement behaviors over time. Additionally, we delve into the role of tellurium nanoparticles and their plasmonic properties in adsorbing fake news, thereby influencing user interactions and engagement levels. Thro…

This https://arxiv.org/abs/2403.18453 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
In digital IC design, compared with post-synthesis netlists or layouts, the early register-transfer level (RTL) stage offers greater optimization flexibility for both designers and EDA tools. However, timing information is typically unavailable at this early stage. Some recent machine learning (ML) solutions propose to predict the total negative slack (TNS) and worst negative slack (WNS) of an entire design at the RTL stage, but the fine-grained timing information of individual registers remain…

Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network
Keilung Choy, Wei Xie
https://arxiv.org/abs/2405.04011 https://

Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network
Motivated by the pressing challenges in the digital twin development for biomanufacturing process, we introduce an adjoint sensitivity analysis (SA) approach to expedite the learning of mechanistic model parameters. In this paper, we consider enzymatic stochastic reaction networks representing a multi-scale bioprocess mechanistic model that allows us to integrate disparate data from diverse production processes and leverage the information from existing macro-kinetic and genome-scale models. To…

The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
https://arxiv.org/abs/2404.04268

The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ability to generate new digital artifacts like text, images, code etc., resulting in a new tool, a generative search engine, which combines the capabilities of LLMs with a traditional search engine. Through the empirical analysis of Bing Copilot (Bing Chat), one of the first publicly available gen…

Beyond Language Models: Byte Models are Digital World Simulators
Shangda Wu, Xu Tan, Zili Wang, Rui Wang, Xiaobing Li, Maosong Sun
https://arxiv.org/abs/2402.19155

Beyond Language Models: Byte Models are Digital World Simulators
Traditional deep learning often overlooks bytes, the basic units of the digital world, where all forms of information and operations are encoded and manipulated in binary format. Inspired by the success of next token prediction in natural language processing, we introduce bGPT, a model with next byte prediction to simulate the digital world. bGPT matches specialized models in performance across various modalities, including text, audio, and images, and offers new possibilities for predicting, s…

A Workflow for GLAM Metadata Crosswalk
Arianna Moretti, Ivan Heibi, Silvio Peroni
https://arxiv.org/abs/2405.02113 https://arxiv.org/…

A Workflow for GLAM Metadata Crosswalk
The acquisition of physical artifacts not only involves transferring existing information into the digital ecosystem but also generates information as a process itself, underscoring the importance of meticulous management of FAIR data and metadata. In addition, the diversity of objects within the cultural heritage domain is reflected in a multitude of descriptive models. The digitization process expands the opportunities for exchange and joint utilization, granted that the descriptive schemas a…

Trackable Island-model Genetic Algorithms at Wafer Scale
Matthew Andres Moreno, Connor Yang, Emily Dolson, Luis Zaman
https://arxiv.org/abs/2405.03605 http…

Trackable Island-model Genetic Algorithms at Wafer Scale
Emerging ML/AI hardware accelerators, like the 850,000 processor Cerebras Wafer-Scale Engine (WSE), hold great promise to scale up the capabilities of evolutionary computation. However, challenges remain in maintaining visibility into underlying evolutionary processes while efficiently utilizing these platforms' large processor counts. Here, we focus on the problem of extracting phylogenetic information from digital evolution on the WSE platform. We present a tracking-enabled asynchronous islan…

Did you know early bird registrations for #TNC24 tickets are still open? The location for this year’s TNC is Rennes, which has a thriving #digital #industry and is a true hotspot for

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/

"Knowledge Graph Visualization Interface for Digital Heritage Collections: Design Issues and Recommendations" #KnowledgeGraphs

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…

This https://arxiv.org/abs/2305.05338 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey
The rapid development of information and communications technology has enabled the use of digital-controlled and software-driven distributed energy resources (DERs) to improve the flexibility and efficiency of power supply, and support grid operations. However, this evolution also exposes geographically-dispersed DERs to cyber threats, including hardware and software vulnerabilities, communication issues, and personnel errors, etc. Therefore, enhancing the cyber-resiliency of DER-based smart gr…

A real-time digital twin of azimuthal thermoacoustic instabilities
Andrea N\'ovoa, Nicolas Noiray, James R. Dawson, Luca Magri
https://arxiv.org/abs/2404.18793

A real-time digital twin of azimuthal thermoacoustic instabilities
When they occur, azimuthal thermoacoustic oscillations can detrimentally affect the safe operation of gas turbines and aeroengines. We develop a real-time digital twin of azimuthal thermoacoustics of a hydrogen-based annular combustor. The digital twin seamlessly combines two sources of information about the system (i) a physics-based low-order model; and (ii) raw and sparse experimental data from microphones, which contain both aleatoric noise and turbulent fluctuations. First, we derive a low…

Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
Hongshen Xu, Lu Chen, Zihan Zhao, Da Ma, Ruisheng Cao, Zichen Zhu, Kai Yu
https://arxiv.org/abs/2402.18262

Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
The growing prevalence of visually rich documents, such as webpages and scanned/digital-born documents (images, PDFs, etc.), has led to increased interest in automatic document understanding and information extraction across academia and industry. Although various document modalities, including image, text, layout, and structure, facilitate human information retrieval, the interconnected nature of these modalities presents challenges for neural networks. In this paper, we introduce WebLM, a mul…

“The slow crash of newspapers and magazines would be of limited interest save for one thing: Traditional media had at its core the exalted and difficult mission of communicating information about the world. From investigative reports on government to coverage of local politicians, the news served to make all the institutions and individuals covered a bit more transparent and, possibly, more honest.”

How the Media Industry Keeps Losing the Future
Roger Fidler tried his best, but the excellent business of journalism is gone for good. Can the idea of “news” survive in a digital world?

This https://arxiv.org/abs/2402.19434 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Digital Twin Aided Massive MIMO: CSI Compression and Feedback
Deep learning (DL) approaches have demonstrated high performance in compressing and reconstructing the channel state information (CSI) and reducing the CSI feedback overhead in massive MIMO systems. One key challenge, however, with the DL approaches is the demand for extensive training data. Collecting this real-world CSI data incurs significant overhead that hinders the DL approaches from scaling to a large number of communication sites. To address this challenge, we propose a novel direction …

Learning using privileged information for segmenting tumors on digital mammograms
Ioannis N. Tzortzis, Konstantinos Makantasis, Ioannis Rallis, Nikolaos Bakalos, Anastasios Doulamis, Nikolaos Doulamis
https://arxiv.org/abs/2402.06379

Learning using privileged information for segmenting tumors on digital mammograms
Limited amount of data and data sharing restrictions, due to GDPR compliance, constitute two common factors leading to reduced availability and accessibility when referring to medical data. To tackle these issues, we introduce the technique of Learning Using Privileged Information. Aiming to substantiate the idea, we attempt to build a robust model that improves the segmentation quality of tumors on digital mammograms, by gaining privileged information knowledge during the training procedure. T…

An Extensive Survey of Digital Image Steganography: State of the Art
Idakwo M. A., Muazu M. B., Adedokun A. E., Sadiq B. O
https://arxiv.org/abs/2404.19548

An Extensive Survey of Digital Image Steganography: State of the Art
The need to protect sensitive information privacy duringinformation exchange over the internet/intranet has led towider adoption of cryptography and steganography. The cryptography approaches convert the information into an unreadable format however draws the attention of cryptanalyst owing to the uncommon random nature flow of the bytes when viewing the flowing structured bytes on a computer. While steganography, in contrast, conceals the very existence of covert communication using digital me…

Sources: Vox Media's and Bustle Digital Group's revenue each fell ~15% YoY due to weaker ad sales; both have seen a 10% rise in ad sales so far in 2024 (Sahil Patel/The Information)
https://www.theinformation.com/articles/re

Revenue Declines for Vox Media, Bustle in 2023 Reflects Wider Media Struggles
Advertising is no country for small digital media firms. Vox Media, the privately held firm that owns outlets such as New York magazine, The Verge and Eater, saw revenue fall roughly 15% in 2023, dragged down by weaker ad sales, according to people familiar with the matter. Similarly, Bustle ...

Digital Twin of Industrial Networked Control System based on Value of Information
Van-Phuc Bui, Daniel Abode, Pedro M. de Sant Ana, Karthik Muthineni, Shashi Raj Pandey, Petar Popovski
https://arxiv.org/abs/2404.14960

Digital Twin of Industrial Networked Control System based on Value of Information
The paper examines a scenario wherein sensors are deployed within an Industrial Networked Control System, aiming to construct a digital twin (DT) model for a remotely operated Autonomous Guided Vehicle (AGV). The DT model, situated on a cloud platform, estimates and predicts the system's state, subsequently formulating the optimal scheduling strategy for execution in the physical world. However, acquiring data crucial for efficient state estimation and control computation poses a significant ch…

This https://arxiv.org/abs/2305.05338 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey
The rapid development of information and communications technology has enabled the use of digital-controlled and software-driven distributed energy resources (DERs) to improve the flexibility and efficiency of power supply, and support grid operations. However, this evolution also exposes geographically-dispersed DERs to cyber threats, including hardware and software vulnerabilities, communication issues, and personnel errors, etc. Therefore, enhancing the cyber-resiliency of DER-based smart gr…

Design of a Representation Information Repository for the Long-Term Usability of Digital Building Documents
Uwe M. Borghoff, Eberhard Pfeiffer, Peter R\"odig
https://arxiv.org/abs/2404.19337

Design of a Representation Information Repository for the Long-Term Usability of Digital Building Documents
The long-term usability of digital building documents is essential for the maintenance and optimization of infrastructure portfolios. It supports the preservation of building-specific knowledge and the cultural heritage hidden within. However, having to do this throughout the lifecycle of a building - or even indefinitely - remains a major challenge. This is especially true for organizations responsible for large collections of digital building documents, such as public administrations or archi…

Persistent Homology generalizations for Social Media Network Analysis
Isabela Rocha
https://arxiv.org/abs/2404.19257 https://arxiv.org/pdf/2404.19257
arXiv:2404.19257v1 Announce Type: new
Abstract: This study details an approach for the analysis of social media collected political data through the lens of Topological Data Analysis, with a specific focus on Persistent Homology and the political processes they represent by proposing a set of mathematical generalizations using Gaussian functions to define and analyze these Persistent Homology categories. Three distinct types of Persistent Homologies were recurrent across datasets that had been plotted through retweeting patterns and analyzed through the k-Nearest-Neighbor filtrations. As these Persistent Homologies continued to appear, they were then categorized and dubbed Nuclear, Bipolar, and Multipolar Constellations. Upon investigating the content of these plotted tweets, specific patterns of interaction and political information dissemination were identified, namely Political Personalism and Political Polarization. Through clustering and application of Gaussian density functions, I have mathematically characterized each category, encapsulating their distinctive topological features. The mathematical generalizations of Bipolar, Nuclear, and Multipolar Constellations developed in this study are designed to inspire other political science digital media researchers to utilize these categories as to identify Persistent Homology in datasets derived from various social media platforms, suggesting the broader hypothesis that such structures are bound to be present on political scraped data regardless of the social media it's derived from. This method aims to offer a new perspective in Network Analysis as it allows for an exploration of the underlying shape of the networks formed by retweeting patterns, enhancing the understanding of digital interactions within the sphere of Computational Social Sciences.

Biodegradable Interactive Materials
Zhihan Zhang, Mallory Parker, Kuotian Liao, Jerry Cao, Anandghan Waghmare, Joseph Breda, Chris Matsumura, Serena Eley, Eleftheria Roumeli, Shwetak Patel, Vikram Iyer
https://arxiv.org/abs/2404.03130

Biodegradable Interactive Materials
The sense of touch is fundamental to how we interact with the physical and digital world. Conventional interactive surfaces and tactile interfaces use electronic sensors embedded into objects, however this approach poses serious challenges both for environmental sustainability and a future of truly ubiquitous interaction systems where information is encoded into everyday objects. In this work, we present Biodegradable Interactive Materials: backyard-compostable interactive interfaces that lever…

Computers as tools for humans are so useful exactly *because* they can’t think and do tedious work like calculations or information storage and retrieval for humans in a *deterministic* way.
It took like nearly 90 years of digital computers to make them powerful enough to run a wasteful algorithm that pretends to think (but doesn’t) and to deliver bullshit non-deterministic results while using absurd amounts of computational and environmental resources.

This https://arxiv.org/abs/2404.01312 has been replaced.
initial toot: https://mastoxiv.page/@a…

Note: Bridging Information Science: AB Initio Calculation Vortex of 2D Materials of Bismuthene(Bismuth Molecule) Graphene-Shaped through Kohn-Sham Equations
This study delves into the intricate electronic and optical behaviors of two-dimensional (2D) honeycomb materials, such as Stannen, arsenene, antimonene, silicene, and bismuthene(bismuth molecule), through the lens of first-principles calculations(AB Initio Calculations) based on the Kohn-Sham equations. Focusing on the exchange-correlation potential approximations within the Density Functional Theory (DFT) framework, we evaluate the potential of these materials in digital information control a…

A Unified Knowledge Graph to Permit Interoperability of Heterogeneous Digital Evidence
Ali Alshumrani, Nathan Clarke, Bogdan Ghita
https://arxiv.org/abs/2402.13746

A Unified Knowledge Graph to Permit Interoperability of Heterogeneous Digital Evidence
The modern digital world is highly heterogeneous, encompassing a wide variety of communications, devices, and services. This interconnectedness generates, synchronises, stores, and presents digital information in multidimensional, complex formats, often fragmented across multiple sources. When linked to misuse, this digital information becomes vital digital evidence. Integrating and harmonising these diverse formats into a unified system is crucial for comprehensively understanding evidence and…

"This BBC Radio 4 transmission has now closed. Please retune to FM, Digital Radio, Digital TV, BBC Sounds or smart speakers to continue listening to BBC Radio 4. For more information visit bbc.co.uk/reception."
That's it. That's @… on #mediumwave

This https://arxiv.org/abs/2403.08771 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Pathfinding of Digital False Information Diffusion by Conformal Field Theory and Feynman's Green's Function: Multiple Analysis Considering Stress Energy Tensor and Symmetry of Virasoro Operators
This study delves into the application of Conformal Field Theory (CFT) to understand information diffusion within digital media and its broader social implications. Focusing on the digital native generation, vulnerable to misinformation and data privacy issues, the research highlights the urgency of addressing psychological health in the digital realm. By leveraging CFT's analytical power, particularly in tracing information flows and assessing the impact of misinformation, the study offers nov…

Bookmarked: The AI for Humanists Project - AI for Humanists #Digital_Humanities #KI

A real-time digital twin of azimuthal thermoacoustic instabilities
Andrea N\'ovoa, Nicolas Noiray, James R. Dawson, Luca Magri
https://arxiv.org/abs/2404.18793

A real-time digital twin of azimuthal thermoacoustic instabilities
When they occur, azimuthal thermoacoustic oscillations can detrimentally affect the safe operation of gas turbines and aeroengines. We develop a real-time digital twin of azimuthal thermoacoustics of a hydrogen-based annular combustor. The digital twin seamlessly combines two sources of information about the system (i) a physics-based low-order model; and (ii) raw and sparse experimental data from microphones, which contain both aleatoric noise and turbulent fluctuations. First, we derive a low…

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 …

Digital Twin Aided Massive MIMO: CSI Compression and Feedback
Shuaifeng Jiang, Ahmed Alkhateeb
https://arxiv.org/abs/2402.19434 https://

Digital Twin Aided Massive MIMO: CSI Compression and Feedback
Deep learning (DL) approaches have demonstrated high performance in compressing and reconstructing the channel state information (CSI) and reducing the CSI feedback overhead in massive MIMO systems. One key challenge, however, with the DL approaches is the demand for extensive training data. Collecting this real-world CSI data incurs significant overhead that hinders the DL approaches from scaling to a large number of communication sites. To address this challenge, we propose a novel direction …

QOSST: A Highly-Modular Open Source Platform for Experimental Continuous-Variable Quantum Key Distribution
Yoann Pi\'etri, Matteo Schiavon, Valentina Marulanda Acosta, Baptiste Gouraud, Luis Trigo Vidarte, Phillipe Grangier, Amine Rhouni, Eleni Diamanti
https://arxiv.org/abs/2404.18637…

QOSST: A Highly-Modular Open Source Platform for Experimental Continuous-Variable Quantum Key Distribution
Quantum Key Distribution (QKD) enables secret key exchange between two remote parties with information-theoretic security rooted in the laws of quantum physics. Encoding key information in continuous variables (CV), such as the values of quadrature components of coherent states of light, brings implementations much closer to standard optical communication systems, but this comes at the price of significant complexity in the digital signal processing techniques required for operation at low sign…

This https://arxiv.org/abs/2303.14947 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Measuring Self-Preferencing on Digital Platforms
Digital platforms use recommendations to facilitate exchanges between platform actors, such as trade between buyers and sellers. Aiming to protect consumers and guarantee fair competition on platforms, legislators increasingly require that recommendations on market-dominating platforms be free from self-preferencing. That is, platforms that also act as sellers (e.g., Amazon) or information providers (e.g., Google) must not prefer their own offers over comparable third-party offers. Yet, success…

Deciphering the Digital Veil: Exploring the Ecosystem of DNS HTTPS Resource Records
Hongying Dong (University of Virginia), Yizhe Zhang (University of Virginia), Hyeonmin Lee (University of Virginia), Shumon Huque (Salesforce), Yixin Sun (University of Virginia)
https://arxiv.org/abs/2403.15672

Deciphering the Digital Veil: Exploring the Ecosystem of DNS HTTPS Resource Records
The DNS HTTPS resource record is a new DNS record type designed for the delivery of configuration information and parameters required to initiate connections to HTTPS network services. It provides the ability to perform zone apex redirection to a third-party provider, which the existing CNAME record cannot do. In addition, it is a key enabler for TLS Encrypted ClientHello (ECH) by providing the cryptographic keying material needed to encrypt the initial exchange. To understand the adoption and …

Biodegradable Interactive Materials
Zhihan Zhang, Mallory Parker, Kuotian Liao, Jerry Cao, Anandghan Waghmare, Joseph Breda, Chris Matsumura, Serena Eley, Eleftheria Roumeli, Shwetak Patel, Vikram Iyer
https://arxiv.org/abs/2404.03130

Biodegradable Interactive Materials
The sense of touch is fundamental to how we interact with the physical and digital world. Conventional interactive surfaces and tactile interfaces use electronic sensors embedded into objects, however this approach poses serious challenges both for environmental sustainability and a future of truly ubiquitous interaction systems where information is encoded into everyday objects. In this work, we present Biodegradable Interactive Materials: backyard-compostable interactive interfaces that lever…

Interplay between domain walls and magnetization curling induced by chemical modulations in cylindrical nanowires
L. Alvaro-G\'omez, A. Masseboeuf, N. Mille, C. Fern\'andez-Gonz \'alez, S. Ruiz-G\'omez, J. C Toussaint, R. Belkhou, M. Foerster, E. Pereiro, L. Aballe, C. Thirion, D. Gusakova, O. Fruchart, L. P\'erez
https://<…

Interplay between domain walls and magnetization curling induced by chemical modulations in cylindrical nanowires
Cylindrical magnetic nanowires have been proposed as a means of storing and processing information in a 3D medium, based on the motion of domain walls~(DWs). Introducing short chemical modulations in such wires would allow for reliable digital control of DWs. Here, we outline the intricate physics of the interaction of domain walls with modulations to control their motion, combining micromagnetic simulations and experimental evidence. This interaction combines a long-range moderate magnetostati…

Sie möchten auch digital präsent sein? Oder haben Ihre Kommunikationskanäle bislang nur halbherzig „bespielt”? Aber welche Kanäle überhaupt? Tut es die eigene Webseite? Wie schaut es mit einem Blog aus? Und Social Media – da müssen Sie doch auch sichtbar sein, oder? Und dann noch das Fediversum mit Mastodon & Co.
Darum geht es hier: Keine Patentlösungen - Ihr spezielles Projekt ist gefragt – und das ausführlich.
Weitergehende Infos und Anmeldung:

Critical National Infrastructure in the Euro-Atlantic Maritime Domain, nice #IISS publication.
#geopolitics #EU #NATO

Critical National Infrastructure in the Euro-Atlantic Maritime Domain
The Military Balance interactive chart provides insight into some of the energy, defence and digital elements of critical national infrastructure (CNI) in the Euro-Atlantic domain, as well as supporting information on military spending and equipment.

Pour une interop{\'e}rabilit{\'e} s{\'e}mantique en {\'e}ducation : les mod{\`e}les normatifs de l'ISO/IEC JTC1 SC36
Mokhtar Ben Henda (MICA)
https://arxiv.org/abs/2404.13978

Pour une interop{é}rabilit{é} s{é}mantique en {é}ducation : les mod{è}les normatifs de l'ISO/IEC JTC1 SC36
The semantics of content is one of the essential constituents of models of innovative educational systems. It is gradually built based on normative efforts carried out by different actors in the fields of the technological industry, telecommunications, IT, linguistic engineering, information sciences documentation, etc. Semantics in networks and digital information systems represent, in fact, an advanced link in a long process of processing digital information in which terminological work occup…

From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?
Jiangfeng Liu, Ziyi Wang, Jing Xie, Lei Pei
https://arxiv.org/abs/2404.18518

From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?
Generative large-scale language models create the fifth paradigm of scientific research, organically combine data science and computational intelligence, transform the research paradigm of natural language processing and multimodal information processing, promote the new trend of AI-enabled social science research, and provide new ideas for digital humanities research and application. This article profoundly explores the application of large-scale language models in digital humanities research,…

Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines
Lijia Ma, Xingchen Xu, Yong Tan
https://arxiv.org/abs/2402.19421 https:/…

Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines
In the domain of digital information dissemination, search engines act as pivotal conduits linking information seekers with providers. The advent of chat-based search engines utilizing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), exemplified by Bing Chat, marks an evolutionary leap in the search ecosystem. They demonstrate metacognitive abilities in interpreting web information and crafting responses with human-like understanding and creativity. Nonetheless, the intric…

Computers as tools for humans are so useful exactly *because* they can’t think and do tedious work like calculations or information storage and retrieval for humans in a *deterministic* way.
It took like nearly 90 years of digital computers to make them powerful enough to run a wasteful algorithm that pretends to think (but doesn’t) and to deliver bullshit non-deterministic results while using absurd amounts of computational and environmental resources.

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
Victor Iba\~nez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
https://arxiv.org/abs/2403.15068

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
Graph convolutional networks (GCNs) have emerged as a powerful alternative to multiple instance learning with convolutional neural networks in digital pathology, offering superior handling of structural information across various spatial ranges - a crucial aspect of learning from gigapixel H&E-stained whole slide images (WSI). However, graph message-passing algorithms often suffer from oversmoothing when aggregating a large neighborhood. Hence, effective modeling of multi-range interactions rel…

AdaBoost-Based Efficient Channel Estimation and Data Detection in One-Bit Massive MIMO
Majdoddin Esfandiari, Sergiy A. Vorobyov, Robert W. Heath Jr
https://arxiv.org/abs/2403.00621

AdaBoost-Based Efficient Channel Estimation and Data Detection in One-Bit Massive MIMO
The use of one-bit analog-to-digital converter (ADC) has been considered as a viable alternative to high resolution counterparts in realizing and commercializing massive multiple-input multiple-output (MIMO) systems. However, the issue of discarding the amplitude information by one-bit quantizers has to be compensated. Thus, carefully tailored methods need to be developed for one-bit channel estimation and data detection as the conventional ones cannot be used. To address these issues, the prob…

Analysis and Visualization of Musical Structure using Networks
Alberto Alcal\'a-Alvarez, Pablo Padilla-Longoria
https://arxiv.org/abs/2404.15208 https:…

Analysis and Visualization of Musical Structure using Networks
In this article, a framework for defining and analysing a family of graphs or networks from symbolic music information is discussed. Such graphs concern different types of elements, such as pitches, chords and rhythms, and the relations among them, and are built from quantitative or categorical data contained in digital music scores. They are helpful in visualizing musical features at once, thus leading to a computational tool for understanding the general structural elements of a music fragmen…

This https://arxiv.org/abs/2403.17143 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
Relation extraction is essential for extracting and understanding biographical information in the context of digital humanities and related subjects. There is a growing interest in the community to build datasets capable of training machine learning models to extract relationships. However, annotating such datasets can be expensive and time-consuming, in addition to being limited to English. This paper applies guided distant supervision to create a large biographical relationship extraction dat…

Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
Wenji Fang, Shang Liu, Hongce Zhang, Zhiyao Xie
https://arxiv.org/abs/2403.18453

Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
In digital IC design, compared with post-synthesis netlists or layouts, the early register-transfer level (RTL) stage offers greater optimization flexibility for both designers and EDA tools. However, timing information is typically unavailable at this early stage. Some recent machine learning (ML) solutions propose to predict the total negative slack (TNS) and worst negative slack (WNS) of an entire design at the RTL stage, but the fine-grained timing information of individual registers remain…

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi
https://arxiv.org/abs/2404.19744 https://arxiv.org/pdf/2404.19744
arXiv:2404.19744v1 Announce Type: new
Abstract: Data protection and privacy is becoming increasingly crucial in the digital era. Numerous companies depend on third-party vendors and service providers to carry out critical functions within their operations, encompassing tasks such as data handling and storage. However, this reliance introduces potential vulnerabilities, as these vendors' security measures and practices may not always align with the standards expected by regulatory bodies. Businesses are required, often under the penalty of law, to ensure compliance with the evolving regulatory rules. Interpreting and implementing these regulations pose challenges due to their complexity. Regulatory documents are extensive, demanding significant effort for interpretation, while vendor-drafted privacy policies often lack the detail required for full legal compliance, leading to ambiguity. To ensure a concise interpretation of the regulatory requirements and compliance of organizational privacy policy with said regulations, we propose a Large Language Model (LLM) and Semantic Web based approach for privacy compliance. In this paper, we develop the novel Privacy Policy Compliance Verification Knowledge Graph, PrivComp-KG. It is designed to efficiently store and retrieve comprehensive information concerning privacy policies, regulatory frameworks, and domain-specific knowledge pertaining to the legal landscape of privacy. Using Retrieval Augmented Generation, we identify the relevant sections in a privacy policy with corresponding regulatory rules. This information about individual privacy policies is populated into the PrivComp-KG. Combining this with the domain context and rules, the PrivComp-KG can be queried to check for compliance with privacy policies by each vendor against relevant policy regulations. We demonstrate the relevance of the PrivComp-KG, by verifying compliance of privacy policy documents for various organizations.

This https://arxiv.org/abs/2401.03067 has been replaced.
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Social Echo Chambers in Quantum Field Theory: Exploring Faddeev-Popov Ghosts Phenomena, Loop Diagrams, and Cut-off Energy Theory
This paper presents an interdisciplinary approach to analyze the emergence and impact of filter bubbles in social phenomena, especially in both digital and offline environments, by applying the concepts of quantum field theory. Filter bubbles tend to occur in digital and offline environments, targeting digital natives with extremely low media literacy and information immunity. In addition, in the aftermath of stealth marketing, fake news, "inspirational marketing," and other forms of stealth ma…

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 …

This https://arxiv.org/abs/2301.06517 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Landscape of User-centered Misinformation Interventions -- A Systematic Literature Review
Misinformation is one of the key challenges facing society today. User-centered misinformation interventions as digital countermeasures that exert a direct influence on users represent a promising means to deal with the large amounts of information available. While an extensive body of research on this topic exists, researchers are confronted with a diverse research landscape spanning multiple disciplines. This review systematizes the landscape of user-centered misinformation interventions to f…

This https://arxiv.org/abs/2404.08649 has been replaced.
initial toot: https://mastoxiv.page/@a…

Note: Applying the Brillouin Zone and Band Gap Leveraging AB Initio Calculation for Digital Well-Being: In-Depth Analysis of Band Structures in Information Spaces Insights from Solid-State Physics
The efforts of this Note are aimed at understanding various phenomena in digital space that are incomplete and difficult to define, and to translate them into language from research fields that are based on existing large-scale experimental data. Information diffusion and user behavior patterns in digital space are often hard to intuitively capture, and the principles and mechanisms behind them are difficult to articulate. To address this challenge, we have drawn on first-principles methods in …

Les valeurs linguistiques et culturelles des documents num{\'e}riques et leur traitement s{\'e}mantique dans les syst{\`e}mes d'information {\'e}lectroniques
Mokhtar Ben Henda (MICA, ISD, GRESIC, ISIC, Chaire Unesco-ITEN)
https://arxiv.org/abs/2404.12681

Les valeurs linguistiques et culturelles des documents num{é}riques et leur traitement s{é}mantique dans les syst{è}mes d'information {é}lectroniques
The digital document evolves rapidly and spectacularly in its structure and information content conveyed on networks and information systems. Generally understood as a neutral support for information carrying a semantic value, the digital document nevertheless carries parameters that denote certain cultural and linguistic values specific to its creator. This document attempts to emphasize some technical aspects that reflect this intrinsic identity of electronic documents. The objective is to de…

Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Caleb Henry, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia Cavazos-Rehg, Dian Hu, Ming Huang
https://arxiv.org/abs/2404.17607…

Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
The widespread adoption of social media platforms globally not only enhances users' connectivity and communication but also emerges as a vital channel for the dissemination of health-related information, thereby establishing social media data as an invaluable organic data resource for public health research. The surge in popularity of vaping or e-cigarette use in the United States and other countries has caused an outbreak of e-cigarette and vaping use-associated lung injury (EVALI), leading to…

Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-Free Networks Under Hardware Impairments
Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Lajos Hanzo
https://arxiv.org/abs/2405.01150

Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-Free Networks Under Hardware Impairments
We propose a hybrid beamforming architecture for near-field reconfigurable holographic surfaces (RHS) harnessed in cell-free networks. Specifically, the holographic beamformer of each base station (BS) is designed for maximizing the channel gain based on the local channel state information (CSI). By contrast, the digital beamformer at the central processing unit is designed based on the minimum mean squared error criterion. Furthermore, the near-field spectral efficiency of the RHS in cell-free…

Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
Wenji Fang, Shang Liu, Hongce Zhang, Zhiyao Xie
https://arxiv.org/abs/2403.18453

Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
In digital IC design, compared with post-synthesis netlists or layouts, the early register-transfer level (RTL) stage offers greater optimization flexibility for both designers and EDA tools. However, timing information is typically unavailable at this early stage. Some recent machine learning (ML) solutions propose to predict the total negative slack (TNS) and worst negative slack (WNS) of an entire design at the RTL stage, but the fine-grained timing information of individual registers remain…

This https://arxiv.org/abs/2403.03239 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Note: Harnessing Tellurium Nanoparticles in the Digital Realm Plasmon Resonance, in the Context of Brewster's Angle and the Drude Model for Fake News Adsorption in Incomplete Information Games
This note explores the innovative application of soliton theory and plasmonic phenomena in modeling user behavior and engagement within digital health platforms. By introducing the concept of soliton solutions, we present a novel approach to understanding stable patterns of health improvement behaviors over time. Additionally, we delve into the role of tellurium nanoparticles and their plasmonic properties in adsorbing fake news, thereby influencing user interactions and engagement levels. Thro…

This https://arxiv.org/abs/2403.15427 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Metasurface-Enabled Multifunctional Single-Frequency Sensors without External Power
IoT sensors are crucial for visualizing multidimensional and multimodal information and enabling future IT applications/services such as cyber-physical space, digital twins, autonomous driving, smart cities, and virtual/augmented reality (VR or AR). However, IoT sensors need to be battery-free to realistically manage and maintain the growing number of available sensing devices. Here, we provide a novel sensor design approach that employs metasurfaces to enable multifunctional sensing without re…

This https://arxiv.org/abs/2303.02041 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Likes and Fragments: Examining Perceptions of Time Spent on TikTok
Researchers use information about the amount of time people spend on digital media for numerous purposes. While social media platforms commonly do not allow external access to measure the use time directly, a usual alternative method is to use participants' self-estimation. However, doubts were raised about the self-estimation's accuracy, posing questions regarding the cognitive factors that underline people's perceptions of the time they spend on social media. In this work, we build on prior s…

This https://arxiv.org/abs/2311.05462 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

ChatGPT and Other Large Language Models for Cybersecurity of Smart Grid Applications
Cybersecurity breaches targeting electrical substations constitute a significant threat to the integrity of the power grid, necessitating comprehensive defense and mitigation strategies. Any anomaly in information and communication technology (ICT) should be detected for secure communications between devices in digital substations. This paper proposes large language models (LLM), e.g., ChatGPT, for the cybersecurity of IEC 61850-based digital substation communications. Multicast messages such a…

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 …

Foundation Models and Information Retrieval in Digital Pathology
H. R. Tizhoosh
https://arxiv.org/abs/2403.12090 https://arxiv.org/pd…

Foundation Models and Information Retrieval in Digital Pathology
The paper reviews the state-of-the-art of foundation models, LLMs, generative AI, information retrieval and CBIR in digital pathology

This https://arxiv.org/abs/2402.10932 has been replaced.
initial toot: https://mastoxiv.page/@a…

Roadmap on Data-Centric Materials Science
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift towards managing vast data collections, digital repositories, and innovative data analytics methods. The integration of Artificial Intelligence (AI) and its subset Machine Learning (ML), has become pivotal in addressing all these challenges. This Ro…

Selective nonlinearities removal from digital signals
Krzysztof A. Maliszewski, Magdalena A. Urbanska, Varvara Vetrova, Sylwia M. Kolenderska
https://arxiv.org/abs/2403.09731

Selective nonlinearities removal from digital signals
Many instruments performing optical and non-optical imaging and sensing, such as Optical Coherence Tomography (OCT), Magnetic Resonance Imaging or Fourier-transform spectrometry, produce digital signals containing modulations, sine-like components, which only after Fourier transformation give information about the structure or characteristics of the investigated object. Due to the fundamental physics-related limitations of such methods, the distribution of these signal components is often nonli…

Analysis and Enhancement of Lossless Image Compression in JPEG-XL
Rustam Mamedov
https://arxiv.org/abs/2404.19755 https://arxiv.org/p…

Analysis and Enhancement of Lossless Image Compression in JPEG-XL
As the demand for digital information grows in fields like medicine, remote sensing, and archival, efficient image compression becomes crucial. This paper focuses on lossless image compression, vital for managing the increasing volume of image data without quality loss. Current research emphasizes techniques such as predictive coding, transform coding, and context modeling to improve compression ratios. This study evaluates lossless compression in JPEG XL, the latest standard in the JPEG family…

This https://arxiv.org/abs/2403.03239 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Note: Harnessing Tellurium Nanoparticles in the Digital Realm Plasmon Resonance, in the Context of Brewster's Angle and the Drude Model for Fake News Adsorption in Incomplete Information Games
This note explores the innovative application of soliton theory and plasmonic phenomena in modeling user behavior and engagement within digital health platforms. By introducing the concept of soliton solutions, we present a novel approach to understanding stable patterns of health improvement behaviors over time. Additionally, we delve into the role of tellurium nanoparticles and their plasmonic properties in adsorbing fake news, thereby influencing user interactions and engagement levels. Thro…

Virbo: Multimodal Multilingual Avatar Video Generation in Digital Marketing
Juan Zhang, Jiahao Chen, Cheng Wang, Zhiwang Yu, Can Liu, Tangquan Qi, Di Wu
https://arxiv.org/abs/2403.11700

Virbo: Multimodal Multilingual Avatar Video Generation in Digital Marketing
With the widespread popularity of internet celebrity marketing all over the world, short video production has gradually become a popular way of presenting products information. However, the traditional video production industry usually includes series of procedures as script writing, video filming in a professional studio, video clipping, special effects rendering, customized post-processing, and so forth. Not to mention that multilingual videos is not accessible for those who could not speak m…

This https://arxiv.org/abs/2305.12298 has been replaced.
link: https://scholar.google.com/scholar?q=a

Post-Quantum Hybrid Digital Signatures with Hardware-Support for Digital Twins
Digital Twins (DT) virtually model cyber-physical objects using Internet of Things (IoT) components (e.g., sensors) to gather and process senstive information stored in the cloud. Trustworthiness of the streamed data is crucial which requires quantum safety and breach resiliency. Digital signatures are essential for scalable authentication and non-repudiation. Yet, NIST PQC signature standards are exorbitantly costly for low-end IoT without considering forward security. Moreover, Post-Quantum (…

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter
Leonardo Castro-Gonzalez, Sukankana Chakraborty, Helen Margetts, Hardik Rajpal, Daniele Guariso, Jonathan Bright
https://arxiv.org/abs/2402.08765

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter
Who sets the policy agenda? Much political science research has been dedicated to investigating the influences at work in policy processes. This paper looks at the actors influencing the policy agenda through the lens of "nodality", the capacity to share information and to be at the centre of social and information networks. Nodality has traditionally been seen as a capacity or policy tool relating to government as a set of institutions. But in a digital world, there is greater possibility for …

Pathfinding of Digital False Information Diffusion by Conformal Field Theory and Feynman's Green's Function: Multiple Analysis Considering Stress Energy Tensor and Symmetry of Virasoro Operators
Yasuko Kawahata
https://arxiv.org/abs/2403.08771

Pathfinding of Digital False Information Diffusion by Conformal Field Theory and Feynman's Green's Function: Multiple Analysis Considering Stress Energy Tensor and Symmetry of Virasoro Operators
This study delves into the application of Conformal Field Theory (CFT) to understand information diffusion within digital media and its broader social implications. Focusing on the digital native generation, vulnerable to misinformation and data privacy issues, the research highlights the urgency of addressing psychological health in the digital realm. By leveraging CFT's analytical power, particularly in tracing information flows and assessing the impact of misinformation, the study offers nov…

Biometrics Employing Neural Network
Sajjad Bhuiyan
https://arxiv.org/abs/2404.16840 https://arxiv.org/pdf/2404.16840

Biometrics Employing Neural Network
Biometrics involves using unique human traits, both physical and behavioral, for the digital identification of individuals to provide access to systems, devices, or information. Within the field of computer science, it acts as a method for identifying and verifying individuals and controlling access. While the conventional method for personal authentication involves passwords, the vulnerability arises when passwords are compromised, allowing unauthorized access to sensitive actions. Biometric a…

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
Zhan Shi, Jingwei Zhang, Jun Kong, Fusheng Wang
https://arxiv.org/abs/2403.18134

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
In digital pathology, the multiple instance learning (MIL) strategy is widely used in the weakly supervised histopathology whole slide image (WSI) classification task where giga-pixel WSIs are only labeled at the slide level. However, existing attention-based MIL approaches often overlook contextual information and intrinsic spatial relationships between neighboring tissue tiles, while graph-based MIL frameworks have limited power to recognize the long-range dependencies. In this paper, we intr…

Virbo: Multimodal Multilingual Avatar Video Generation in Digital Marketing
Juan Zhang, Jiahao Chen, Cheng Wang, Zhiwang Yu, Can Liu, Tangquan Qi, Di Wu
https://arxiv.org/abs/2403.11700

Virbo: Multimodal Multilingual Avatar Video Generation in Digital Marketing
With the widespread popularity of internet celebrity marketing all over the world, short video production has gradually become a popular way of presenting products information. However, the traditional video production industry usually includes series of procedures as script writing, video filming in a professional studio, video clipping, special effects rendering, customized post-processing, and so forth. Not to mention that multilingual videos is not accessible for those who could not speak m…

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
Andreea Iana, Goran Glava\v{s}, Heiko Paulheim
https://arxiv.org/abs/2403.17876

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
Digital news platforms use news recommenders as the main instrument to cater to the individual information needs of readers. Despite an increasingly language-diverse online community, in which many Internet users consume news in multiple languages, the majority of news recommendation focuses on major, resource-rich languages, and English in particular. Moreover, nearly all news recommendation efforts assume monolingual news consumption, whereas more and more users tend to consume information in…

This https://arxiv.org/abs/2308.06189 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Companding and Predistortion Techniques for Improved Efficiency and Performance in SWIPT
In this work, we analyze how the use of companding techniques, together with digital predistortion (DPD), can be leveraged to improve system efficiency and performance in simultaneous wireless information and power transfer (SWIPT) systems based on power splitting. By taking advantage of the benefits of each of these well-known techniques to mitigate non-linear effects due to power amplifier (PA) and energy harvesting (EH) operation, we illustrate how DPD and companding can be effectively combi…

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering
Ren\'e Walendy, Markus Weber, Jingjie Li, Steffen Becker, Carina Wiesen, Malte Elson, Younghyun Kim, Kassem Fawaz, Nikol Rummel, Christof Paar
https://arxiv.org/abs/2402.15452…

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering
Trust in digital systems depends on secure hardware, often assured through Hardware Reverse Engineering (HRE). This work develops methods for investigating human problem-solving processes in HRE, an underexplored yet critical aspect. Since reverse engineers rely heavily on visual information, eye tracking holds promise for studying their cognitive processes. To gain further insights, we additionally employ verbal thought protocols during and immediately after HRE tasks: Concurrent and Retrospec…

Large language model-powered chatbots for internationalizing student support in higher education
Achraf Hsain, Hamza El Housni
https://arxiv.org/abs/2403.14702

Large language model-powered chatbots for internationalizing student support in higher education
This research explores the integration of chatbot technology powered by GPT-3.5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation. It delves into the design, implementation, and application of Large Language Models (LLMs) for improving student engagement, information access, and support. Utilizing technologies like Python 3, GPT API, LangChain, and Chroma Vector Store, the research emphasizes creating a high-quality, timely, and relevant t…

This https://arxiv.org/abs/2304.00216 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to information across multiple scales poses a significant challenge in digital pathology. Multi-instance learning (MIL) is a common solution for working with high resolution images by classifying bags of objects (i.e. sets of smaller image patches). However, such processing is typically performed at a single scale (e.g., 20x magnification) of WSIs, disregarding the vital inter-scale information that is key to diagnoses by human pat…

Understanding Computer Networks: A Comprehensive Overview of Types, Configurations, and the OSI Model
Priyanshu Tyagi Rahul Nishant Priyadarshi
https://arxiv.org/abs/2403.11296

Understanding Computer Networks: A Comprehensive Overview of Types, Configurations, and the OSI Model
Computer networks have evolved into an essential component of modern society, facilitating the seamless sharing and dissemination of digital information. This paper explores the fundamental concepts of networking, focusing on the transformative impact of intranets and internets. Intranets, in particular, have emerged as indispensable tools for businesses, enabling them to efficiently manage and distribute information. The rapid adoption of intranets underscores their role in maintaining competi…

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…

This https://arxiv.org/abs/2306.01162 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
Edge artificial intelligence (AI) has been a promising solution towards 6G to empower a series of advanced techniques such as digital twins, holographic projection, semantic communications, and auto-driving, for achieving intelligence of everything. The performance of edge AI tasks, including edge learning and edge AI inference, depends on the quality of three highly coupled processes, i.e., sensing for data acquisition, computation for information extraction, and communication for information …

Understanding Computer Networks: A Comprehensive Overview of Types, Configurations, and the OSI Model
Priyanshu Tyagi Rahul Nishant Priyadarshi
https://arxiv.org/abs/2403.11296

Understanding Computer Networks: A Comprehensive Overview of Types, Configurations, and the OSI Model
Computer networks have evolved into an essential component of modern society, facilitating the seamless sharing and dissemination of digital information. This paper explores the fundamental concepts of networking, focusing on the transformative impact of intranets and internets. Intranets, in particular, have emerged as indispensable tools for businesses, enabling them to efficiently manage and distribute information. The rapid adoption of intranets underscores their role in maintaining competi…

What's in People's Digital File Collections?
Jesse David Dinneen, Charles-Antoine Julien
https://arxiv.org/abs/2402.06421 https://

What's in People's Digital File Collections?
Thoughtfully designing services and rigorously testing software to support personal information management (PIM) requires understanding the relevant collections, but relatively little is known about what people keep in their file collections, especially personal collections. Complementing recent work on the structure of 348 file collections, we examine those collections' contents, how much content is duplicated, and how collections used for personal matters differ from those used for study and …

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/2109.00031 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning
DNA-based storage is an emerging technology that enables digital information to be archived in DNA molecules. This method enjoys major advantages over magnetic and optical storage solutions such as exceptional information density, enhanced data durability, and negligible power consumption to maintain data integrity. To access the data, an information retrieval process is employed, where some of the main bottlenecks are the scalability and accuracy, which have a natural tradeoff between the two.…

RedactBuster: Entity Type Recognition from Redacted Documents
Mirco Beltrame, Mauro Conti, Pierpaolo Guglielmin, Francesco Marchiori, Gabriele Orazi
https://arxiv.org/abs/2404.12991

RedactBuster: Entity Type Recognition from Redacted Documents
The widespread exchange of digital documents in various domains has resulted in abundant private information being shared. This proliferation necessitates redaction techniques to protect sensitive content and user privacy. While numerous redaction methods exist, their effectiveness varies, with some proving more robust than others. As such, the literature proposes several deanonymization techniques, raising awareness of potential privacy threats. However, while none of these methods are success…

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…

Phishing Website Detection Using a Combined Model of ANN and LSTM
Muhammad Shoaib Farooq, Hina jabbar
https://arxiv.org/abs/2404.10780 https://

Phishing Website Detection Using a Combined Model of ANN and LSTM
In this digital era, our lives highly depend on the internet and worldwide technology. Wide usage of technology and platforms of communication makes our lives better and easier. But on the other side it carries out some security issues and cruel activities, phishing is one activity of these cruel activities. It is a type of cybercrime, which has the purpose of stealing the personal information of the computer user, and enterprises, which carry out fake websites that are the copy of the original…