Dynamic and Immersive Framework for Drone Delivery Services in Skyway Networks
We propose a novel dynamic and immersive 3D framework designed to facilitate the setup and customization of drone scheduling algorithms for evaluating service-based drone delivery systems. This framework features a robust system architecture that supports ...
Online Worker Scheduling for Maximizing Long-Term Utility in Crowdsourcing with Unknown Quality
Spatiotemporal Mobile CrowdSourcing (MCS) is a new intelligent sensing paradigm for large-scale data acquisition where requesters can recruit a crowd of workers to perform data collection tasks. How to recruit suitable workers in a dynamic environment to ...
Optimizing Geo-Distributed Data Processing with Resource Heterogeneity over the Internet
The traditional MapReduce frameworks were originally designed for processing data within a single cluster and are not suitable for handling geo-distributed data. Consequently, alternative approaches such as Hierarchical and Geo-Hadoop have been proposed ...
Relieving Overexposure in Information Diffusion Through a Budget Multi-stage Allocation
When information dissemination campaigns on Online Social Networking platforms are too aggressive, this can easily cause information overexposure. Overexposure can break through the psychological and physiological limits that the audience can tolerate, ...
Masquerade: Verifiable Multi-Party Aggregation with Secure Multiplicative Commitments
In crowd-sourced data aggregation over the Internet, participants share their data points with curators. However, a lack of strong privacy guarantees may discourage participation, which motivates the need for privacy-preserving aggregation protocols. ...
Signature-based IaaS Performance Change Detection
We propose a novel change detection framework to identify changes in the long-term performance behavior of an IaaS service. An IaaS service’s long-term performance behavior is represented by an IaaS performance signature. The proposed framework leverages ...
Navigating the Metaverse: A Comprehensive Analysis of Consumer Electronics Prospects and Challenges
Rapid innovation in consumer electronics has made our lives more comfortable. Consumer electronics serve as the primary platform for the Metaverse (MV), offering users an immersive and interactive medium that connects the digital and real worlds. Consumer ...
A Novel Point Cloud Registration Method for Multimedia Communication in Automated Driving Metaverse
The development of the Metaverse offers more possibilities for autonomous driving. This is mainly reflected in the fact that the scene reconstructed based on multiple sensors can help the autonomous vehicle establish a Metaverse world based on its own ...
A New Layer Structure of Cyber-Physical Systems under the Era of Digital Twin
Cyber-Physical Systems (CPS) are new systems designed to support and synthesize sensing, communication, and computing components that interact with physical objects so that the system can sense, monitor, control, and respond to changes occurring in their ...
DeGONet: Decentralized Group-Oriented Interconnection Network for IoT-enabled Metaverse
As a transformative technology across various industries, the metaverse has emerged to connect the physical world with the virtual world. During this process, the Internet of Things (IoT) has played a critical role in achieving effective cyber-physical ...
LSDN Empowers the Metaverse Communication to Achieve High-Resolution Visuals with Lower Bandwidth
Deploying super-resolution models on metaverse terminal devices can enhance visual effects without increasing network bandwidth. However, deploying most current super-resolution networks on metaverse terminal devices with limited hardware resources poses ...
Interpersonal Communication Interconnection in Media Convergence Metaverse
The metaverse aims to provide immersive virtual worlds connecting with the physical world. To enable real-time interpersonal communications between users across the globe, the metaverse places high demands on network performance, including low latency, ...
Data management for continuous learning in EHR systems
To gain a comprehensive understanding of a patient’s health, advanced analytics must be applied to the data collected by electronic health record (EHR) systems. However, managing and curating this data requires carefully designed workflows. While ...
Multi-Think Transformer for Enhancing Emotional Health
The smart healthcare system not only focuses on physical health but also on emotional health. Music therapy, as a non-pharmacological treatment method, has been widely used in clinical treatment, but music selection and generation still require manual ...
Audio-Visual Event Localization using Multi-task Hybrid Attention Networks for Smart Healthcare Systems
Human perception heavily relies on two primary senses: vision and hearing, which are closely inter-connected and capable of complementing each other. Consequently, various multimodal learning tasks have emerged, with audio-visual event localization (AVEL) ...
AI-assisted Blockchain-enabled Smart and Secure E-prescription Management Framework
Traditional medical prescriptions based on physical paper-based documents are prone to manipulation, errors, and unauthorized reproduction due to their format. Addressing the limitations of the traditional prescription system, e-prescription systems have ...
Atrial Fibrillation Detection from Compressed ECG Measurements for Wireless Body Sensor Network
Recent years have witnessed an increasing prevalence of wearable devices in the public, where atrial fibrillation (AF) detection is a popular application in these devices. Generally, AF detection is performed on cloud whereas this paper describes an on-...
Federated Learning-based Information Leakage Risk Detection for Secure Medical Internet of Things
The Medical Internet of Things (MIoT) requires extreme information and communication security, particularly for remote consultation systems. MIoT’s integration of physical and computational components creates a seamless network of medical devices ...
ML-Based Identification of Neuromuscular Disorder Using EMG Signals for Emotional Health Application
Abstract: The electromyogram (EMG), also known as an EMG, is used to assess nerve impulses in motor nerves, sensory nerves, and muscles. EMS is a versatile tool used in various biomedical applications. It is commonly employed to determine physical health, ...
An IoT and Deep Learning-Based Smart Healthcare Framework for Thyroid Cancer Detection
A world of healthcare possibilities has been opened with the development of the Internet of Medical Things and related machine learning, deep learning, and artificial intelligence approaches. It has a broad range of uses: when linked to the Internet, ...
A Softwarized Intrusion Detection System for IoT-Enabled Smart Healthcare System
The Internet of Things-enabled Smart Healthcare System (IoT-SHS) is a networked infrastructure of intelligent wearables, software applications, health systems, and services that continuously monitors and transmits patient-sensitive data using an open ...