Mobile and Ubiquitous Systems: Computing, Networking and Services

TRAMA

These two-volume proceedings constitute the refereed post-conference proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023, held in Melbourne, Australia, during November 14-17, 2023.   The 65 papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The conference papers are organized in topical sections on:   Part I - Tracking and Detection; IoT; Federated learning; Networks; Activity recognition; Security Management; Urban/Mobile Crowdsensing. Part II - Urban/Mobile Crowdsensing; Edge computing; Crowdsourcing, Platforms and localization; Activity recognition and prediction; AI and machine learning; Mobile edge and fog computing; Mobile augmented reality and applications for mobile computing; interaction technologies; AutoQuitous workshop.

SOMMARIO

.- Urban/Mobile Crowdsensing. .- A Data-driven Study on Pedestrian Walking Behaviour as Transitioning Different Spaces. .- Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors. .- MyPath: Accessible Route Generation using Crowd-sensed Surface Information. .- Edge Computing. .- Shepard: Dynamic Placement of Microservices in the Edge-Cloud Continuum. .- Minimizing Data Retrieval Delay in Edge Computing. .- Bringing the Edge Home: Edge Computing in the Era of Emerging WLANs. .- Crowdsourcing, Platforms and Localization. .- A Novel Task Assignment Adjustment Method in Spatial-temporal Crowdsourcing. .- PPS: A Publish-Process-Subscribe Middleware For Predictive Supply Chains. .-  Gestalt Perceptual Calibration for Multi-agent Collaborative Localization. .- Activity Recognition and Prediction. .-  Tra?ic Flow Prediction Using Uber Movement Data. .- Fingertip Air-Writing with Ambient Light. .-  Global Optimal PnP Algorithm with Reverse Projection Error. .-  Proposal of Word Prediction Method for Gaze Swipe Text Entry. .- AI and Machine Learning. .- Integrating Social Environment in Machine Learning Model for Debiased Recommendation. .- A Novel Deep Learning Model for Smartphone-based Human Activity Recognition. .- AIMSafe: EEG-based Driver Behavior Understanding via Attention and Incremental Learning Mechanisms. .- A multi-task learning framework with features based on behavioral pattern conversation. .- E?icient Parcel Damage Detection via Faster R-CNN: A Deep Learning Approach for Logistical Parcels’ Automated Inspection. .- Fall Detection and Assessment using Multitask Learning and Micro-Sized LiDAR in Elderly Care. .- Online Dynamic Path Planner for UAVs. .- Mobile Edge and Fog Computing. .- Achieving Observability on Fog Computing with the use of open-source tools. .- Adaptive QoS-aware Task Offloading in Dynamic Mobile Edge Computing Environment. .- Discretization-based ensemble model for robust learning in IoT. .- Flute: Enabling a Battery-free and Energy Harvesting Ecosystem for the Internet of Things. .-  Exploring Optimal Placement of Head-based Hierarchical Marking Menus on Smartphones. .- SDN-DMQTT : SDN-based Platform for Re-configurable MQTT Distributed Brokers Architecture. .- Mobile Augmented Reality and Applications for Mobile Computing. .- Quality Evaluation of Image Segmentation in Mobile Augmented Reality. .- Reading The Mind’s Eye: Detecting Trauma-Vulnerability In Individuals By Analyzing Attention Through Eye-Tracking. .- GUI2DSVec: Detecting Visual Design Smells Based on Semantic Embedding of GUI Images and Components. .- Interaction Technologies. .- Mobile user experience from the lens of project-based learning. .-  Usability Evaluation of NOW Interactions. .- QA Reasoning Enhancement Model Based on the Fusion of Dictionary and Hierarchical Directed Graph. .- AutoQuitous Workshop. .- Towards Distributed Control under Deficient Communication with Mutli-agent Reinforcement Learning. .- Deep Learning Based Radio Frequency Fingerprint Identification By Exploiting Spatial Stereoscopic Features. .- Modeling Emergent Behaviour for Enhanced Autonomy in Cyber-Physical Systems. .- On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data. .-  Cultural influence on autonomous vehicles acceptance.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031639913
• Collana: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XX, 552 p. 182 illus., 164 illus. in color.
• Pagine Arabe: 552
• Pagine Romane: xx