Internetwork Time Synchronization of Mobile Ad Hoc Networks
…performance using a sensible metric called a mutual consensus. It is shown that the common time is achieved with a limited variance in the networks that operate in the master-slave,…
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Communication-Efficient Private Information Acquisition
This paper focuses on the way to protect privacy of clients requesting datasets stored in data servers while keeping communication efficiency. To this end, we introduce a novel communication-efficient and…
5G Edge Computing Enhanced Mobile Augmented Reality
Physical world enhancements through virtually drawn annotations on mobile devices are a core component of mobile augmented reality (MAR) experiences. However, resource intensive computer vision tasks typically limit the full…
Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies
…studies have examined the potential role of information technologies in preventing and mitigating Biodisaster X.Objective: This study aimed to explore (1) what Biodisaster X might entail and (2) solutions that…
A review of uncertainty quantification in deep learning
…and examined their performance in a variety of applications such as computer vision (e.g., self-driving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image…
Hardhats and Bungaloos
…compares to peer design feedback within a design-oriented HCI class and across two metrics: perceived quality and perceived fairness. We also examine the perceived monetary value of crowdsourced feedback, which…
Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G
The emergence of Multi-Access Edge Computing (MEC) technology aims to extend cloud computing capabilities to the edge of the wireless access networks, i.e., closer to the end-users. Thus, MEC-enabled 5G…
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
…only saves communication bandwidth, but also hides each worker’s exact model update trajectory from any eavesdropper including the honest-but-curious PS, thereby preserving data privacy against model inversion attacks. We formally…
Combined Invariants to Gaussian Blur and Affine Transformation
The paper presents a new theory of combined moment invariants to Gaussian blur and spatial affine transformation. The blur kernel may be arbitrary oriented, scaled and elongated. No prior information…
Computing stable resultant-based minimal solvers by hiding a variable
Many computer vision applications require robust and efficient estimation of camera geometry. The robust estimation is usually based on solving camera geometry problems from a minimal number of input data…