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检索条件"任意字段=19th Data Compression Conference"

共 11663 条记录，以下是21-30 订阅

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Opening black boxes: A user-centered approach to repair electronic household products 25

Opening black boxes: A user-centered approach to repair elec...

引用

19th International conference on Tangible Embedded and Embodied Interaction

作者： Szabo, Adam Moholy Nagy Univ Arts & Design Data Storytelling Hub Budapest Hungary

ISBN: (纸本)9798400711978

Modern electronic household devices often function as black boxes, limiting user interactions to basic operations. When these products break down, the lack of agency leads to frustration and disposal, contributing to 51 million tonnes of e-waste annually in Europe, of which 35 million tonnes arise from still-usable consumer goods being discarded. In this study, I explored how Tangible User Interfaces (TUI) can affect user engagement in maintenance and repair processes to lengthen the lifetime of electronic household devices. three rounds of user testing were conducted with 15 participants along with qualitative interviews, observation, and visual documentation. the preliminary findings suggest that color and ergonomic coding, along with practical affordances can significantly aid users and reduce the stress associated with repair processes. these insights highlight the potential of TUIs to promote sustainable practices in electronic product usage in the future.

关键词： Human-Computer Interaction (HCI) Interaction Design Artifact Black boxes

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Evaluation of data Inconsistency for Multi-modal Sentiment Analysis 19th

Evaluation of Data Inconsistency for Multi-modal Sentiment A...

引用

19th National conference on Man-Machine Speech Communication

作者： Wang, Yufei Wu, Mengyue Shanghai Jiao Tong Univ Shanghai 200000 Peoples R China

ISBN: (纸本)9789819610440;9789819610457

Emotion semantic inconsistency is a ubiquitous challenge in multi-modal sentiment analysis (MSA). MSA involves analyzing sentiment expressed across various modalities like text, audio, and videos. Each modality may convey distinct aspects of sentiment, due to the subtle and nuanced expression of human beings, leading to inconsistency, which may hinder the prediction of artificial agents. In this work, we introduce a modality-conflicting test set and assess the performance of both traditional multi-modal sentiment analysis models and multi-modal large language models (MLLMs). Our findings reveal significant performance degradation across traditional models when confronted with semantically conflicting data and point out the drawbacks of MLLMs when handling multi-modal emotion analysis. Our research presents a new challenge and offers valuable insights for the future development of sentiment analysis systems.

关键词： Multi-modal Sentiment Analysis Multi-modal Large Language Model data Inconsistency

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19th International conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024

19th International Conference on Artificial Intelligence: Me...

引用

19th International conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024

ISBN: (纸本)9783031815416

the proceedings contain 18 papers. the special focus in this conference is on Artificial Intelligence: Methodology, Systems, and Applications. the topics include: Cross-Lingual Style Transfer TTS for High-Quality Machine Dubbing;an Approach to Discovering, Tracking Over Time, and Summarizing Publicly Available Information on a Given Topic;reinforcement Learning Control of Cart Pole System with Spike Timing Neural Network Actor-Critic Architecture;Predictive and Explainable Modelling in Economics on the Case Study of Remittance Prediction Using the NeuDen AI Computational Architecture;deep Learning for Multi-class Diagnosis of thyroid Disorders Using Selective Features;Advanced CNN-SVM Machine Learning Techniques for Facial Skin Ultrasound Image Analysis;Testing the NEAT Algorithm on a PSPACE-Complete Problem;investigating the Regularization of Deep Neural Networks for Affect Recognition with Relevance-Guided Local Explanations;Layered data-Centric AI to Streamline data Quality Practices for Enhanced Automation;Combining Graph NN and LLM for Improved Text-Based Emotion Recognition;a Novel Study on Modelling and Adaptive Optimal Control of a Tubular Reactor Based on Gaussian Processes;converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion;enhancing Question Answering in Lecture Videos with a Multimodal Retrieval-Augmented Generation Framework;agent-Based Simulation Leveraging Declarative Modeling for Efficient Resource Allocation in Emergency Scenarios;enhancing Security in Federated Learning: Detection of Synchronized data Poisoning Attacks;Clinical and Acquisition data for Optimizing MGMT Methylation Status Prediction: A Comprehensive Ensemble Strategy Emphasizing Non-invasive Approaches.

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Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients data Heterogeneity 19

Towards Robust Federated Learning: Investigating Poisoning A...

引用

19th International conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Soubih, Abdenour Lahmer, Seyyid Ahmed Abuhamad, Mohammed Abuhmed, Tamer College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Department of Information Engineering University of Padova Padua Italy Department of Computer Science Loyola University Chicago Chicago United States

ISBN: (纸本)9798331507817

Federated Learning (FL) offers a privacy-preserving solution by enabling multiple clients to train a shared model collaboratively without centralizing data. However, the decentralized nature of FL presents challenges, particularly regarding security and performance under adversarial conditions. this paper investigates the effects of poisoning attacks under data heterogeneity. Our experiments evaluate the impact of varying malicious client fractions and poison concentration levels on the accuracy of the model. We explore the effects of poisoning attacks on FedAvg and FedNova models using medical imaging tasks. Our findings reveal that increasing data heterogeneity exacerbates the effects of poisoning, with FedNova demonstrating greater resilience compared to FedAvg. We found that the number of malicious clients plays a more significant role in degrading performance than the ratio of poisoning samples shared by each malicious client, suggesting that even modest levels of poisoning can be tolerated by most algorithms. the study highlights the importance of developing robust defense mechanisms to maintain model performance under adversarial conditions. © 2025 IEEE.

关键词： Federated learning

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Designing with data: Supporting Design Processes in Physicalization Construction 25

Designing with Data: Supporting Design Processes in Physical...

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19th International conference on Tangible Embedded and Embodied Interaction

作者： Daneshzand, Foroozan Perin, Charles Grewal, Navarjun Singh Losev, Tatiana Carpendale, Sheelagh Simon Fraser Univ Sch Interact Arts & Technol Burnaby BC Canada Univ Victoria Dept Comp Sci Victoria BC Canada Northeastern Univ Coll Art Media & Design Boston MA USA Simon Fraser Univ Sch Comp Sci Burnaby BC Canada

ISBN: (纸本)9798400711978

there is a growing interest in representing data physically across various domains. However, our understanding of the physicalization design process is minimal, posing barriers to supporting designers and wider utilization of physicalization. In this work, we studied the dynamics of the physicalization design process, through the lens of KiriPhys, a Kirigami-inspired technique, to understand how physicalization designers navigate, iterate, and make decisions throughout their creative workflows. We conducted an exploratory qualitative study, observing physicalization/visualization experts design KiriPhys both freely and using a technology probe. From analysing the gathered data, we discovered an interactive data physicalization design process formed of six activities, characterized by non-linear and highly iterative movements between them, quite different from the predominately linear models currently in use. A key observed activity within this process is the concept of feedforward, which highlights the designer's proactive forward-thinking when making design choices, considering the physical aspects of the results. Our findings suggest strategies for digitally supporting the interactive data physicalization process.

关键词： Physicalization Authoring tools Design Process Design thinking Visualization

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Optimizing VPN Security in Financial Services: Implementing 256-Bit Encryption and Tunneling Protocols for Secure data Transmission 19

Optimizing VPN Security in Financial Services: Implementing ...

引用

19th International conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Ilias, Irma Syarlina Che Sameon, Sera Syarmila Zulkifli, Muhammad Zaqwan Ezzad Salleh, Mohammad Zahir Mat Malaysian Institute of Information Technology Universiti Kuala Lumpur Kuala Lumpur Malaysia College of Computing and Informatics Universiti Tenaga Nasional Selangor Malaysia CyberSecurity RawSec Kuala Lumpur Malaysia

ISBN: (纸本)9798331507817

this study examines the essential importance of security in contemporary network settings, emphasizing the increasing dependence on Virtual Private Networks (VPNs) for safe data transfer. the emphasis is on assessing the security attributes of VPNs to enhance existing network systems. this study specifically contrasts the performance and efficacy of two tunneling protocols—Layer 2 Tunneling Protocol version 3 with IPsec (L2TPv3/IPsec) and Generic Routing Encapsulation (GRE) utilizing IPsec—in a site-to-site connection. the study offers an economical solution by leveraging current infrastructure, minimizing the requirement for extra gear like antennas and rented space. Moreover, the study follows the National Institute of Standards and Technology (NIST) security protocols, specifically designed for the financial services sector, guaranteeing a secure and cost-effective approach for data transfer. Initial findings indicate that the best arrangement of VPN tunnels improves security in financial services networks, providing an effective method for protecting direct connections. © 2025 IEEE.

关键词： Cost effectiveness

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Pruning and Quantization Enhanced Densely Connected Neural Network for Efficient Acoustic Echo Cancellation 19th

Pruning and Quantization Enhanced Densely Connected Neural N...

引用

19th National conference on Man-Machine Speech Communication

作者： Chen, Chen Yan, Sheng Hao, Chengpeng Chinese Acad Sci Inst Acoust Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9789819610440;9789819610457

Acoustic echo cancellation (AEC) has gained prominence due to increasing commercial demand and diverse application scenarios. Apart from professional fields like audio processing, AEC finds more use in daily scenarios like video conferencing. However, attaining superior speech quality frequently involves intricate deep learning models and significant computational resources, thereby impeding its widespread adoption. In order to reduce model size and enhance inference speed while maintaining speech quality, in this paper, we propose a new network architecture that combines pruning and quantization with densely connected neural network called PQ-DCNN. the proposed PQ-DCNN model utilizes encoder unstructured pruning (EUP) modules and decoder structured pruning (DSP) modules to reduce model size and accelerate model inference. Static quantization (SQ) module targets convolution layers, optimizing model resources by converting less critical weights and activation values from high to low precision. Results demonstrate a 66.78% reduction in model size and a 26.46% decrease in inference time, achieving an efficient AEC model design.

关键词： Acoustic Echo Cancellation Pruning Quantization Model compression

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19th Global conference on Sustainable Manufacturing, GCSM 2023

19th Global Conference on Sustainable Manufacturing, GCSM 20...

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19th Global conference on Sustainable Manufacturing, GCSM 2023

ISBN: (纸本)9783031774287

the proceedings contain 95 papers. the special focus in this conference is on Sustainable Manufacturing. the topics include: Ecosystem Collaboration for Sustainability: Learnings from the Food System;business Model Design in Context of Circular Economy;From Talk to Action: A Diagnosis of Drivers of Sustainable Logistics Practices in LATAM, a Collaborative Study Between Industry and Academia;aligning Strategic Priorities in Manufacturing and Sustainable Operational Practices in Firms: Exploration and Evidence in North-East Colombia;towards Circular Business Models in the Punching Industry: Leveraging Smart Sensor Technology for Sustainable Manufacturing Processes;challenges of Low-Carbon Transition of Manufacturing Industry in Developing Countries and Research on the Construction of Green Manufacturing System in China;risk Assessment for Small Manufacturing Businesses in Soweto;criteria-Driven Comparison of Hydrogen, Charcoal and Liquefied Petroleum Gas as Cooking Fuels Based on a Systematic Literature Review;bridging the Educational Gap in Circular Design and Engineering—An Educational Concept and Case Study from Austria;concept of an Integrated Information and Education Platform for Sustainable Development;innovating Blended Learning Model for Professional Education in Manufacturing;work Engineering for Sustainability: Required Education in Engineering;developing a Framework for Sustainable Education in a Production Engineering Study Program;Identification of Lightweighting Potentials Towards More Sustainable Products via the Functional Lifecycle Energy Analysis (FLCEA);sustainability data Map: Framework for data-Based Product Carbon Footprinting of Technical Products;Life Cycle Assessment (LCA) of a Circular Saw Blade for Wood Processing;a Systems-Based Framework for Product Circularity Assessment;technology Radar for a Sustainable Biological Transformation in the Manufacturing Industry.

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mShield: Protecting In-process Sensitive data Against Vulnerable third-Party Libraries 19th

mShield: Protecting In-process Sensitive Data Against Vulner...

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19th International conference on Security and Privacy in Communication Networks

作者： Zhang, Yunming Cai, Quanwei Li, Houqiang Lin, Jingqiang Wang, Wei Univ Sci & Technol China Hefei 230027 Anhui Peoples R China Beijing Zitiao Network Technol Co Ltd Beijing 100190 Peoples R China Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing 100085 Peoples R China

ISBN: (纸本)9783031649479;9783031649486

third-party libraries (TPLs) are widely adopted in softwares for integrating special functions (e.g., compression) efficiently. However, as most TPLs are in the same process with the invoker, attackers could exploit memory disclosure vulnerabilities in TPLs to read the sensitive memory data of the victim process. therefore, once a vulnerability found in a TPL, all softwares with this TPL need to be patched in time, which is impractical. In this paper, we propose a cryptography-based isolation (named mShield) between the data memory of the invoker and TPLs, to prevent TPL vulnerabilities from being exploited to read the invoker's sensitive memory data. mShield performs a user-mode and lightweight memory analysis, figures out the invoker's memory space (including stack, heap, user-defined ones in BSS/data segment), encrypts them before invoking any TPL function, and automatically decrypts them once the function returns, without interrupting the normal execution. mShield performs the encryption/decryption in the trusted environment provided by Intel SGX, which prevents the attacker from reading the cryptographic key, and alerts (i.e., the invoker's decryption fails) in time once the encryption context is tampered with (e.g., by illegal invocations of decryption). We have implemented mShield, and adopted it to protect Nginx against a potentially vulnerable TPL (i.e., zlib). the experiment demonstrates mShield's effectiveness (TPLs fail to read the invoker's plaintext sensitive memory data) and acceptable efficiency (about less than 4x time cost).

关键词： Memory Disclosure Memory encryption Intel SGX Isolation

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AR versus Physical data Representations: A Comparison of User Engagement and Spatial Exploration Patterns 25

AR versus Physical Data Representations: A Comparison of Use...

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19th International conference on Tangible Embedded and Embodied Interaction

作者： thieme, Mira van Koningsbruggen, Rosa Potts, Dominic Hornecker, Eva Bauhaus Univ Weimar Weimar Germany Bauhaus Univ Weimar Human Comp Interact Weimar Germany Univ Bath Comp Sci Bath Avon England

ISBN: (纸本)9798400711978

Immersive visualisations, that enable spatial, embodied exploration (e.g., XR and physicalisations), have the potential to increase user engagement with data representations. However, which mode of representation offers a higher engagement, and how does the user experience differ? Our work compares a physicalisation to a mobile AR representation of energy consumption sources and CO2 emissions. In a counter-balanced study with 16 participants, we found no significant differences in perceived user engagement, except for higher scores in "perceived usability". the physicalisation was considered 'real' and intuitive, the AR representation technical and precise. Most participants preferred the physicalisation and felt more 'connected' with it. We also analysed patterns of how people moved around the representations, and found no differences between conditions. Despite people being able to touch the physicalisation, this was barely made use of-thereby turning both conditions into visual exploration. We discuss what rationale participants provided for barely touching and discuss implications.

关键词： immersive analytics user experience touch spatial interaction

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