Mobile and Ubiquitous Systems: Computing, Networking and Services

20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14¿17, 2023, Proceedings, Part II
Herausgegeben:Zaslavsky, Arkady; Ning, Zhaolong; Kalogeraki, Vana; Georgakopoulos, Dimitrios; Chrysanthis, Panos K.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Enginee
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-63991-3
• 2024
• Seitenzahl: 572
• Erscheinungstermin: 19. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 31mm
• Gewicht: 856g
• ISBN-13: 9783031639913
• ISBN-10: 303163991X
• Artikelnr.: 70723777

Inhaltsangabe

.- 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.