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Pursuing Interoperability in Digital Twins: An analysis of the Current Research Landscape 25

Pursuing Interoperability in Digital Twins: An Analysis of t...

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40th Annual acm Symposium on Applied computing, SAC 2025

作者： Varela, Emylle Batista, Thais Cavalcante, Everton Almeida, André Federal University of Rio Grande do Norte Natal Brazil Federal Institute of Education Science and Technology of Rio Grande do Norte Parnamirim Brazil

ISBN: (纸本)9798400706295

Digital twins (DTs) serve as precise virtual representations of real-world objects, processes, or systems, enabling simulation, monitoring, and advanced analysis to enhance operational insights and support decision-making. A relevant challenge to the progress of DTs is achieving interoperability among their components. This limitation hinders the seamless integration of DTs with other technologies and platforms, reducing their applicability. In this context, this paper presents the results of a systematic mapping study offering a comprehensive overview of existing approaches for interoperability in DTs. It explores their goals, the achieved levels of interoperability, and application domains, providing insights for researchers and practitioners in the field. Copyright © 2025 held by the owner/author(s).

关键词： Digital twin

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8th International Conference on Information Science, Communication and computing, ISCC 2024

8th International Conference on Information Science, Communi...

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8th International Conference on Information Science, Communication and computing, ISCC 2024

The proceedings contain 24 papers. The special focus in this conference is on Information Science, Communication and computing. The topics include: The AIoT Ward Management and Health Monitori...

ISBN: (纸本)9789819617807

The proceedings contain 24 papers. The special focus in this conference is on Information Science, Communication and computing. The topics include: The AIoT Ward Management and Health Monitoring System based on Aliyun IoT Platform;blockchain-Based Verifiable Multi-Keyword Ciphertext Retrieval Scheme;a Secure and Efficient Signcryption Scheme Applying in IoT Scenarios;a Distraction Mining Network for Polyp Segmentation;ORLQ: A Link Quality-Based Routing Protocol for UWSN;A Method for Lightweight DDoS Attack Detection Based on LightGBM;smart Contract Vulnerability Detection Method Based on Node Feature Augmentation Graph Convolutional Network;smart Contract Vulnerability Detection Method Based on Edge-Deactivation Graph Convolutional Network;an Exhaustive Survey on the Methods and Applications of Graph Neural Networks;assessment of Forecast Algorithms of Aircraft Icing in Southwestern China;Research on Topic Mining Based on LDA Model;from Text to Emotion: Applying Fine-Tuning Techniques to Large Language Models for Sentiment analysis of Children’s Reading;fine-Grained Sketch-Based Image Retrieval Using a Contrastive Learning Framework;radiometric Difference measurement Method Based on Infrared Thermal Imager;automatic measurement of Knee Joint Space Width on Anteroposterior X-ray Images Based on U2-Net;detection of Hip-Knee-Ankle Angle in Lower Limb X-rays Based on Multi-Classification U2-Net (Angles to Angle);target Association of Heterogeneous Sensors Based on Attribute-Position Fusion;verification and Testing of Chinese Information Technology Application Innovation Network Security for the Tobacco Industry;Fine-Grained Image Classification Based on BAM Attention Mechanism and PPM Pyramid Enhancement Methodological Studies;multimodal Machine Translation Based on Text-Image Aggregation;adaptive Multi-scale Fusion Transformer for Image Super-Resolution.

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"I Am There But...": Remote Students’ Experiences of Inclusion through Telepresence Robots

"I Am There But...": Remote Students’ Experiences of Inclus...

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2025 CHI Conference on Human Factors in computing systems, CHI EA 2025

作者： Elmimouni, Houda Sabanovic, Selma Department of Computer Science University of Manitoba WinnipegMB Canada University of Siegen Siegen Germany Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN United States

ISBN: (纸本)9798400713958

The use of telepresence robots in educational settings offers a promising solution for students who are unable to attend classes in person due to illness, disability, or other barriers. However, the extent to which these technologies facilitate the perceived inclusion of remote students remains underexplored. This study investigates the experiences of remote students using telepresence robots to attend university classes, focusing on factors that mediate their sense of inclusion. Through an inductive analysis of interviews and observations from 22 remote students, we identify technological and socio-pedagogical factors that influence inclusion. Our findings reveal that while telepresence robots enhance physical presence and agency compared to traditional video conferencing tools, challenges such as technological limitations, social norms, and pedagogical practices can hinder full integration. We offer recommendations for educators and institutions to better support remote students and suggest design improvements for telepresence technologies to foster inclusivity in classroom settings. © 2025 Copyright held by the owner/author(s).

关键词： Teaching

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Vision-based Scene analysis toward Dangerous Cycling Behavior Detection Using Smartphones 21

Vision-based Scene Analysis toward Dangerous Cycling Behavio...

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acm International Joint Conference on Pervasive and Ubiquitous computing (UbiComp) / acm International Symposium on Wearable Computers (ISWC)

作者： Hayashi, Hirotaka Xu, Anran Zhou, Zhongyi Yatani, Koji Univ Tokyo Interact Intelligent Syst Lab Tokyo Japan

ISBN: (纸本)9781450384612

Cycling can contribute to improvements of user's physical and mental health, and can also bring positive impacts on the environment. However, many riders do not necessarily have a full understanding of safe bicycle riding. Existing sensing technology and mobile systems have demonstrated assistive features for car driving, and this motivates us to design a mobile application to feedback cyclist's bicycle riding. In this paper, we present the current progress of our mobile system to perform vision-based scene analysis tailored toward the detection of potentially dangerous cycling.

关键词： Cycling sensing with smartphone computer vision scene analysis

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How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices' Use of Data Structures 22

How Interest-Driven Content Creation Shapes Opportunities fo...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Cheng, Ruijia Dasgupta, Sayamindu Hill, Benjamin Mako Univ Washington Seattle WA 98195 USA Univ N Carolina Chapel Hill NC 27515 USA

ISBN: (纸本)9781450391573

Through a mixed-method analysis of data from Scratch, we examine how novices learn to program with simple data structures by using community-produced learning resources. First, we present a qualitative study that describes how community-produced learning resources create archetypes that shape exploration and may disadvantage some with less common interests. In a second quantitative study, we find broad support for this dynamic in several hypothesis tests. Our findings identify a social feedback loop that we argue could limit sources of inspiration, pose barriers to broadening participation, and confine learners' understanding of general concepts. We conclude by suggesting several approaches that may mitigate these dynamics.

关键词： online communities informal learning learning to code connected learning computational participation computers and children creativity support tools social computing and social navigation forums Scratch

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Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency analysis 22

Predicting and Explaining Mobile UI Tappability with Vision ...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Schoop, Eldon Zhou, Xin Li, Gang Chen, Zhourong Hartmann, Bjoern Li, Yang Univ Calif Berkeley EECS Berkeley CA 94720 USA Google Res Mountain View CA USA

ISBN: (纸本)9781450391573

UI designers often correct false afordances and improve the discoverability of features when users have trouble determining if elements are tappable. We contribute a novel system that models the perceived tappability of mobile UI elements with a vision-based deep neural network and helps provide design insights with datasetlevel and instance-level explanations of model predictions. Our system retrieves designs from similar mobile UI examples from our dataset using the latent space of our model. We also contribute a novel use of an interpretability algorithm, XRAI, to generate a heatmap of UI elements that contribute to a given tappability prediction. Through several examples, we show how our system can help automate elements of UI usability analysis and provide insights for designers to iterate their designs. In addition, we share fndings from an exploratory evaluation with professional designers to learn how AI-based tools can aid UI design and evaluation for tappability issues.

关键词： Mobile UIs Deep Learning Explainable AI Interpretability

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3rd International Conference on Innovations in computing Research, ICR 2024

3rd International Conference on Innovations in Computing Res...

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3rd International Conference on Innovations in computing Research, ICR 2024

ISBN: (纸本)9783031655210

The proceedings contain 67 papers. The special focus in this conference is on Innovations in computing Research. The topics include: Exploratory analysis of Gamblers’ Financial Transactions to Mine Behavioral Pattern Data;The Detection of Misstated Financial Reports Using XBRL Mining and Intelligible MLP;university Student Enrollment Prediction: A Machine Learning Framework;early Prediction of Sepsis Utilizing Multi-branches Multi-tasks Hybrid Deep Learning Model;comprehensive analysis of Iris Dataset Using K-Mean and Fuzzy K-Mean Clustering Algorithm;An Efficient and Reliable scRNA-seq Data Imputation Method Using Variational Autoencoders;Prediction of Automotive Vehicles Engine Health Using MLP and LR;medical Image Character Recognition Using Attention-Based Siamese Networks for Visually Similar Characters with Low Resolution;toward Smart Bicycle Safety: Leveraging Machine Learning Models and Optimal Lighting Solutions;vThrot: Fine-Grained, Virtual I/O Resource Redistribution Scheme;Bayesian Optimization-Based CNN Model for Blood Glucose Estimation Using Photoplethysmography Signals;comparing Convolutional Neural Networks and Transformers in a Points-of-Interest Experiment;Gender and Age Extraction from Audio Signal Using Convolutional Neural Network, MFCC and Spectrogram;The Hybrid Model Combination of Deep Learning Techniques, CNN-LSTM, BERT, Feature Selection, and Stop Words to Prevent Fake News;comparative analysis of Decision Tree Algorithms Using Gini and Entropy Criteria on the Forest Covertypes Dataset;A Comparative analysis of Random Forest and Support Vector Machine Techniques on the UNSW-NB15 Dataset;a Comparative Study of Speed measurement Using Radar Guns and Pneumatic Counter;Comparative analysis of Preprocessing Techniques for KNN Classification on the Diabetes Dataset;code Smells for Assessing and Improving Students’ Coding Skills and Practices;analysis of eSIM/iSIM for Critical Communications.

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Exploring and Modeling Gaze-Based Steering Behavior in Virtual Reality

Exploring and Modeling Gaze-Based Steering Behavior in Virtu...

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2025 CHI Conference on Human Factors in computing systems, CHI EA 2025

作者： Hu, Xuning Zhang, Yichuan Wei, Yushi Li, Yue Stuerzlinger, Wolfgang Liang, Hai-Ning School of Advanced Technology Xi’an Jiaotong-Liverpool University Suzhou China Guangdong Guangzhou China School of Advanced Technology Jiangsu Suzhou China Department of Computing Xi’an Jiaotong-Liverpool University Jiangsu Suzhou China Simon Fraser University VancouverBC Canada Guangdong Guangzhou China

ISBN: (纸本)9798400713958

Gaze-based interaction is a common input method in virtual reality (VR). Eye movements, such as fixations and saccades, result in different behaviors compared to other input methods. Previous studies on selection tasks showed that, unlike the mouse, the human gaze is insensitive to target distance and does not fully utilize target width due to the characteristics of saccades and micro-saccades of the eyes. However, its application in steering tasks remains unexplored. Since steering tasks are widely used in VR for menu adjustments and object manipulation, this study examines whether the findings from selection tasks apply to steering tasks. We also model and compare the Steering Law based on eye movement characteristics. To do this, we use data on movement time, average speed, and re-entry count. Our analysis investigates the impact of path width and length on performance. This work proposes three candidate models that incorporate gaze characteristics, which achieve a superior fit (R2 > 0.964) compared to the original Steering Law, improving the accuracy of time prediction, AIC, and BIC by 7%, 26%, and 10%, respectively. These models offer valuable insights for game and interface designers who implement gaze-based controls in VR environments. © 2025 Copyright held by the owner/author(s).

关键词： Virtual reality

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CANARI: A Monitoring Framework for Cluster analysis and Node Assessment for Resource Integrity 24

CANARI: A Monitoring Framework for Cluster Analysis and Node...

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proceedings of the SC '24 Workshops of the International Conference on High Performance computing, Network, Storage, and analysis

作者： Ryan T. DeRue Jacob Verburgt Rosen Center for Advanced Computing Purdue University West Lafayette Indiana USA

ISBN: (纸本)9798350355543

In providing High Performance computing (HPC) systems to research faculty at universities, research computing facilitators must often strike a balance between providing the most up-to-date versions of commonly used software packages and libraries while also ensuring that the software ecosystem on the cluster is stable enough that version changes do not cause performance degradation to existing workflows. Additionally, the modern data centers where these ecosystems are running are very large, intricately complex systems that provide many points of failure. The sum of these two challenges present the need for tools that can help to ensure that these systems, and the software running on those systems, are continuing to perform at their expected levels. To this end, this paper will present a framework for Cluster analysis and Node Assessment for Resource Integrity that we call CANARI. CANARI was developed and used at the Rosen Center for Advanced computing (RCAC) to continuously monitor the availability of nodes in our clusters as well as their performance against synthetic benchmarks, ingest that performance data into a persistent database, mark nodes displaying performance regression offline, and provide summary reports and real-time updates to the Slack instance used at RCAC by using Slack's API.

关键词： Benchmarking

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TronicBoards: An Accessible Electronics Toolkit for People with Intellectual Disabilities 22

TronicBoards: An Accessible Electronics Toolkit for People w...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Senaratne, Hashini Ananthanarayan, Swamy Ellis, Kirsten Monash Univ Dept Human Centred Comp Melbourne Vic Australia

ISBN: (纸本)9781450391573

Engagement with electronic toolkits enhances people's creative abilities, self-esteem, problem-solving skills and enables the creation of personally meaningful artifacts. A variety of simplifed electronics toolkits are increasingly available to help diferent user groups engage with technology. However, they are often inaccessible for people with intellectual disabilities (IDs), who experience a range of cognitive and physical impairments. We designed and developed TronicBoards, a curated set of accessible electronic modules, to address this gap. We evaluated it one-on-one with 10 participants using a guided exploration approach. Our analysis revealed that participants were able to create simple sensor-based interactive circuits with varying levels of assistance. We report the strengths and weaknesses of TronicBoards, considering participants' successes and challenges in manipulating and comprehending toolkit components, circuit building activities, and troubleshooting processes. We discuss implications for designing inclusive electronics toolkits for people with IDs, particularly in considering design elements that improve functionality, comprehensibility and agency.

关键词： Human-centered computing -> Accessibility design and evaluation methods User interface toolkits Social and professional topics -> People with disabilities

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