Results 111 to 120 of about 8,737 (230)

Independent Time Transfer in 5G Technology Over IP Core Networks Using PTN Overlay and Comparison With GPS/GNSS-Based Synchronization

IEEE Access
Time synchronization is critical for 5G networks, enabling ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC).
Mustafa Serdar Osmanca, Umut Keten, Yusuf Islam Demir, Kahraman Zaim   +3 more
doaj   +1 more source

Discrete time Markov chain model for analyzing characteristics of RACH procedure under massive machine Type Communications

The growth of machine-to-machine (M2M) type interconnections in future mobile networks, such as 5G, LTE and LTE-Advanced, significantly increases both signaling and user data load on the network infrastructure of operators.
Vlaskina A., Semenova O., Gaidamaka Y., Gudkova I., Medvedeva E., Zaripova E.   +5 more
core   +1 more source

Integrating distributed photovoltaic and energy storage in 5G networks for sustainable IoT applications

Discover Internet of Things
The rapid growth of the Internet of Things (IoT) has led to an exponential increase in connected devices, creating significant challenges for the energy efficiency of 5G networks.
Yi Zhong, Yiting Wu, Yi Zheng, Xiaohu Ge
doaj   +1 more source

A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks

IEEE Access, 2017
Resource allocation, or scheduling, is one of the main challenges that face supporting machine-to-machine (M2M) communications on long term evolution networks. M2M traffic has unique characteristics.
Ahmed Elhamy Mostafa, Yasser Gadallah
doaj   +1 more source

Games and gamification projects in the Australian public sector

Australian Journal of Public Administration, EarlyView.
Abstract This article surveys the arrival of gameful government into Australian public sector practice. Gameful government is a shorthand, descriptive term denoting the interpenetration of (video)games, and design elements and thinking from them, into public sector work.
David Threlfall, Catherine Althaus
wiley   +1 more source

DIGITAL TECHNOSCIENTIFIC SOCIALITIES AS AN ENTANGLED COMMONS

International Journal of Urban and Regional Research, EarlyView.
Abstract In this contribution I examine digital technoscientific socialities through ethnographic fieldwork with Health for All, an interdisciplinary network formed at the start of the Covid‐19 outbreak. I expand the entangled commons framework for anthropological inquiry into collaborative, data‐intensive science, arguing that digital technoscientific
Lucilla Barchetta
wiley   +1 more source

The Coloniality of Data: Police Databases and the Rationalization of Surveillance from Colonial Vietnam to the Modern Carceral State

The British Journal of Sociology, EarlyView.
ABSTRACT Tracing the early adoption of computer gang databases by the Los Angeles County Sheriff's Department and the Los Angeles Police Department in the 1980s to the deployment of computationally‐assisted surveillance during the Vietnam War, this paper uses a genealogical approach to compare surveillance technologies developed across the arc of ...
Christina Hughes
wiley   +1 more source

Joint User Activity Detection and Channel Estimation in MC-GFMA Systems by Block Sparse Bayesian Learning With Threshold Optimization

IEEE Open Journal of Vehicular Technology
Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, where many applications have the data traffic of sporadicnature ...
Yi Zhao, Mohammed El-Hajjar, Lie-Liang Yang   +2 more
doaj   +1 more source

Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?

Global Policy, EarlyView.
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley   +1 more source

P4s Are Either Unhelpful or Unnecessary. Proposing a Better AI‐Powered Solution to Predict Patients' Preferences

Bioethics, EarlyView.
ABSTRACT The Personalized Patient Preference Predictor (P4) has been proposed as an AI tool to aid surrogate decision‐making when incapacitated patients lack advance directives. Unlike population‐level Patient Preference Predictors (PPPs), which infer preferences from demographic correlations, P4s fine‐tune large language models (LLMs) on a patient's ...
Beatrice Marchegiani
wiley   +1 more source