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18th International Conference on Semantic Systems, SEMPDW 2022

作者： García-González, Herminio Dimou, Anastasia Museum and Research Centre on Holocaust and Human Rights Mechelen Belgium KU Leuven Department of Computer Science Sint-Katelijne-Waver Belgium

Different mapping languages (e.g., RML, SPARQL-Generate and ShExML) have appeared in the last years covering different use cases, scenarios and functionalities. However, users cannot seamlessly interchange between these mapping languages. In this paper, we propose a translation from ShExML to RML letting users benefit from the usability of ShExML and the wide-support and functionalities of RML. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

关键词： Mapping

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Global Stability of a Viral Infection Model with Defectively Infected Cells and Latent Age

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Chinese Annals of Mathematics,Series B 2024年第4期45卷 555-572页

作者： Jianquan LI Yuming CHEN Peijun ZHANG Dian ZHANG School of Computer Science Xijing UniversityXi’an 710123China Department of Mathematics Wilfrid Laurier UniversityWaterlooON N2L 3C5Canada Corresponding author.Xi’an Key Laboratory of Human-Machine Integration and Control Technology for Intelligent Rehabilitation Xijing UniversityXi’an 710123China Equal contributor.Department of Immunology Xi’an Medical UniversityXi’an 710021China

The authors propose and analyze a viral infection model with defectively infected cells and age of the latently infected *** existence of steady states is determined by the basic reproduction number of *** the Lyapunov's direct method,they establish a threshold dynamics of the model with the basic reproduction number of virus as the threshold *** achieve it,a novel procedure is *** novelties are *** one hand,the coefficients involved in the specific forms of the used Lyapunov functionals for the two feasible steady states are determined by the same set of *** the other hand,for the infection steady state,a new approach is proposed to check whether the derivative of the Lyapunov functional candidate along solutions is negative(semi-)definite or *** procedure not only simplifies the analysis but also exhibits the relationship between the two Lyapunov functionals for the two feasible steady ***,the procedure is expected to be applicable for other similar models.

关键词： Viral infection model Basic reproduction number Equilibrium Global stability Lyapunov direct method Age structure

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Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition

Learning Robust Representations with Information Bottleneck ...

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International Conference on computer Vision (ICCV)

作者： Yunan Li Huizhou Chen Guanwen Feng Qiguang Miao School of Computer Science and Technology Xidian University China Xi’an Key Laboratory of Big Data and Intelligent Vision China Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province China

Although previous RGB-D-based gesture recognition methods have shown promising performance, researchers often overlook the interference of task-irrelevant cues like illumination and background. These unnecessary factors are learned together with the predictive ones by the network and hinder accurate recognition. In this paper, we propose a convenient and analytical framework to learn a robust feature representation that is impervious to gesture-irrelevant factors. Based on the Information Bottleneck theory, two rules of Sufficiency and Compactness are derived to develop a new information-theoretic loss function, which cultivates a more sufficient and compact representation from the feature encoding and mitigates the impact of gesture-irrelevant information. To highlight the predictive information, we further integrate a memory network. Using our proposed content-based and contextual memory addressing scheme, we weaken the nuisances while preserving the task-relevant information, providing guidance for refining the feature representation. Experiments conducted on three public datasets demonstrate that our approach leads to a better feature representation and achieves better performance than state-of-the-art methods. The code of our method is available at: https://***/Carpumpkin/InBoMem.

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Unveiling Vulnerability of Self-Attention 30

Unveiling Vulnerability of Self-Attention

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Liong, Khai Jiet Wu, Hongqiu Zhao, Hai Xiaoshan, Li Minjie, Bian Department of Computer Science and Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University China Shanghai Technology Innovation Department Shanghai Data Group Co. Ltd. China Shanghai Data Group Co. Ltd. China

ISBN: (纸本)9782493814104

Pre-trained language models (PLMs) are shown to be vulnerable to minor word changes, which poses a big threat to real-world systems. While previous studies directly focus on manipulating word inputs, they are limited by their means of generating adversarial samples, lacking generalization to versatile real-world attack. This paper studies the basic structure of transformer-based PLMs, the self-attention (SA) mechanism. (1) We propose a powerful perturbation technique HackAttend, which perturbs the attention scores within the SA matrices via meticulously crafted attention masks. We show that state-of-the-art PLMs fall into heavy vulnerability that minor attention perturbations (1%) can produce a very high attack success rate (98%). Our paper expands the conventional text attack of word perturbations to more general structural perturbations. (2) We introduce S-Attend, a novel smoothing technique that effectively makes SA robust via structural perturbations. We empirically demonstrate that this simple yet effective technique achieves robust performance on par with adversarial training when facing various text attackers. Code is publicly available at ***/liongkj/HackAttend. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Semantics

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“Jumping Out from the Pressure of Work and into the Game”: Curating Immersive Digital Game Experiences for Post-Work Recovery

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Games: Research and Practice 2024年第3期2卷 1-20页

作者： Jonathan Mella Ioanna Iacovides Anna Cox UCL Interaction Centre University College London London United Kingdom of Great Britain and Northern Ireland Department of Computer Science University of York York United Kingdom of Great Britain and Northern Ireland

Extant research demonstrates that playing digital games after work can have a psychologically restorative effect. This article focuses on understanding how players can maximise this effect by strategically leveraging the immersive potential of digital games. For one week, eleven participants played games after work with the aim of developing strategies to support their post-work recovery. A follow-up laddering interview identified various “immersion optimisation” strategies that fulfilled components of successful recovery, such as mental disengagement from work and relaxation. These strategies predominantly focused on cognitive involvement and challenge, neglecting other dimensions of immersion. Based on these findings, we contribute an initial framework of immersion optimisation strategies which can be used to enhance the recovery potential of digital games. We also suggest exploring potential boundary conditions of the immersion optimisation phenomenon and offer methodological reflections on the use of the laddering methodology in this study.

关键词： Post-work recovery digital games immersion player experience

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Immersive Situated Analysis of Dams' Behavior 5

Immersive Situated Analysis of Dams' Behavior

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5th International Conference on Graphics and interaction, ICGI 2023

作者： Trindade, Nuno Verdelho Leitao, Pedro Goncalves, Daniel Oliveira, Sergio Ferreira, Alfredo Instituto Superior Técnico University of Lisbon Graphics and Interaction Area INESC-ID Lisbon Portugal Instituto Superior Técnico University of Lisbon Computer Science and Engineering Department Lisbon Portugal Laboratório Nacional de Engenharia Civil Concrete Dams Department Lisbon Portugal

ISBN: (纸本)9798350358179

Dam safety control is a complex and challenging task that involves the analysis, monitoring, and behavior prediction of the various components of dams. Its primary objective is to ensure the safety and optimal performance of these structures. This undertaking involves the abstraction and interpretation of extensive structural, hydraulic, and geotechnical data, typically acquired through sensor networks embedded within the dam. This study introduces DamVR, a virtual reality tool for situated dam safety control data visualization. This tool allows dam engineers and other industry professionals to analyze the fluctuation of structural behavior over time. Its immersive environment contains a realistic representation of the dam structure, networks of sensors, and surroundings. It aims to frame the data within the visual context of the object of the analysis. This contextualization is intended to improve analytical reasoning and decision-making. The usability of DamVrwas evaluated by a group of domain experts and compared to an existing augmented reality tool in similar tasks. The results indicate that DamVris a usable and effective dam safety control data visualization tool. © 2023 IEEE.

关键词： Structural health monitoring

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AI-based model for securing cognitive IoT devices in advance communication systems

International Journal of Cognitive Computing in Engineering

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International Journal of Cognitive Computing in Engineering 2025年 6卷 351-359页

作者： Gaurav, Akshat Arya, Varsha Chui, Kwok Tai Gupta, Brij B. Ronin Institute MontclairNJ United States Asia University Taichung 413 Taiwan Dehradun India UCRD Chandigarh University Chandigarh India Hong Kong Metropolitan University Hong Kong SAR China Department of Computer Science and Information Engineering Asia University Taichung Taiwan University of Economics and Human Science Warsaw Poland Symbiosis International University Pune India School of Cybersecurity Korea University Seoul Korea Republic of

The pervasive integration of the Cognitive Internet of Things (CIoT) in advanced communication systems has significantly heightened security concerns due to inherent vulnerabilities that cyber attackers exploit. These security challenges are exacerbated by IoT devices’ limited computational resources and storage capacities, rendering traditional security protocols ineffective. This paper introduces a AI- based security model tailored explicitly for IoT environments within advanced communication systems. Our approach leverages AI techniques for cyber attack detection and mitigation. The effectiveness of our model is demonstrated through its capability to identify different types of cyberattacks with a precision of more than 99%. This study advances the security mechanisms for IoT devices and offers a scalable and efficient solution to safeguard user privacy and system integrity in sophisticated communication networks. © 2025 The Authors

关键词： Cyber attacks

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Minion: A Technology Probe for Resolving Value Conflicts through Expert-Driven and User-Driven Strategies in AI Companion Applications

arXiv

引用

arXiv 2024年

作者： Fan, Xianzhe Xiao, Qing Zhou, Xuhui Su, Yuran Lu, Zhicong Sap, Maarten Shen, Hong Tsinghua University Beijing China Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Department of Computer Science City University of Hong Kong Hong Kong SAR China Language Technologies Institute Carnegie Mellon University PittsburghPA United States

AI companions based on large language models can role-play and converse very naturally. When value conflicts arise between the AI companion and the user, it may offend or upset the user. Yet, little research has examined such conflicts. We first conducted a formative study that analyzed 151 user complaints about conflicts with AI companions, providing design implications for our study. Based on these, we created Minion, a technology probe to help users resolve human-AI value conflicts. Minion applies a user-empowerment intervention method that provides suggestions by combining expert-driven and user-driven conflict resolution strategies. We conducted a technology probe study, creating 40 value conflict scenarios on *** and Talkie. 22 participants completed 274 tasks and successfully resolved conflicts 94.16% of the time. We summarize user responses, preferences, and needs in resolving value conflicts, and propose design implications to reduce conflicts and empower users to resolve them more effectively. Copyright © 2024, The Authors. All rights reserved.

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A Novel-based Swin Transfer Based Diagnosis of COVID-19 Patients

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Intelligent Automation & Soft Computing 2023年第1期35卷 163-180页

作者： Yassir Edrees Almalki Maryam Zaffar Muhammad Irfan Mohammad Ali Abbas Maida Khalid K.S.Quraishi Tariq Ali Fahad Alshehri Sharifa Khalid Alduraibi Abdullah AAsiri Mohammad Abd Alkhalik Basha Alaa Alduraibi M.K.Saeed Saifur Rahman Department of Medicine Division of RadiologyMedical CollegeNajran UniversityNajran11001Saudi Arabia Department of Computer Science and Information Technology Ibadat International UniversityIslamabad44000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran11001Saudi Arabia Department of Chemical Engineering PIEAS UniversityIslamabad44000Pakistan Department of Computer Science COMSATS University Islamabad(CUI)Sahiwal Campus57000Pakistan Department of Radiology College of MedicineQassim UniversityBuraydah52571Saudi Arabia Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran11001Saudi Arabia Faculty of Human Medicine Zagazig University44631Egypt

The numbers of cases and deaths due to the COVID-19 virus have increased daily all around the *** X-ray is considered very useful and less time-consuming for monitoring COVID *** doubt,X-ray is considered as a quick screening method,but due to variations in features of images which are of X-rays category with Corona confirmed cases,the domain expert is *** address this issue,we proposed to utilize deep learning *** this study,the dataset of COVID-19,lung opacity,viral pneumonia,and lastly healthy patients’images of category X-rays are utilized to evaluate the performance of the Swin transformer for predicting the COVID-19 patients *** performance of the Swin transformer is compared with the other seven deep learning models,including ResNet50,DenseNet121,InceptionV3,EfficientNetB2,VGG19,ViT,CaIT,Swim transformer provides 98%recall and 96%accuracy on corona affected images of the X-ray *** proposed approach is also compared with state-of-the-art techniques for COVID-19 diagnosis,and proposed technique is found better in terms of *** system could support clin-icians in screening patients for COVID-19,thus facilitating instantaneous treatment for better effects on the health of COVID-19 ***,this paper can contribute to saving humanity from the adverse effects of trials that the Corona virus might bring by performing an accurate diagnosis over Corona-affected patients.

关键词： Biomedical systems chest X-ray images CNN COVID-19 swin transformer image processing

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"It’s the only thing I can trust": Envisioning Large Language Model Use by Autistic Workers for Communication Assistance

arXiv

引用

arXiv 2024年

作者： Jang, JiWoong Moharana, Sanika Carrington, Patrick Begel, Andrew Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Software and Societal Systems Department Carnegie Mellon University PittsburghPA United States

Autistic adults often experience stigma and discrimination at work, leading them to seek social communication support from coworkers, friends, and family despite emotional risks. Large language models (LLMs) are increasingly considered an alternative. In this work, we investigate the phenomenon of LLM use by autistic adults at work and explore opportunities and risks of LLMs as a source of social communication advice. We asked 11 autistic participants to present questions about their own workplace-related social difficulties to (1) a GPT-4-based chatbot and (2) a disguised human confederate. Our evaluation shows that participants strongly preferred LLM over confederate interactions. However, a coach specializing in supporting autistic job-seekers raised concerns that the LLM was dispensing questionable advice. We highlight how this divergence in participant and practitioner attitudes reflects existing schisms in HCI on the relative privileging of end-user wants versus normative good and propose design considerations for LLMs to center autistic experiences. © 2024, CC BY-NC-ND.

关键词： Computational linguistics

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