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Search Publications by: Wei Yu ()

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Displaying 1 - 25 of 44

Towards Generative Adversarial Network on Industrial Internet of Things

October 1, 2022
Author(s)
Cheng Qian, Wei Yu, Chao Lu, David W. Griffith, Nada T. Golmie
Machine learning, as a viable way of conducting data analytics, has been successfully applied to a number of areas. Nonetheless, the lack of sufficient data is one critical issue for applying machine learning in Industrial Internet of Things (IIoT) systems

Towards an Integrated Simulation Platform for Internet of Vehicles

August 11, 2022
Author(s)
Xing Liu, Wei Yu, Cheng Qian, David W. Griffith, Nada T. Golmie
The interconnection and digitization of the physical world has increased dramatically with the widespread deployment of network communication and the rapid development of the Internet of Things (IoT). Application scenarios and requirements in IoT are more

Survey of Graph Neural Networks and Applications

July 28, 2022
Author(s)
Fan Liang, Cheng Qian, Wei Yu, David W. Griffith, Nada T. Golmie
The advance of deep learning has shown great potential in applications (speech, image and video classification). In these applications, deep learning models are trained by datasets in Euclidean space with fixed dimensions and sequences. Nonetheless, the

Towards Deep Transfer Learning in Industrial Internet of Things

February 26, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David Griffith, Nada T. Golmie
In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process

On Deep Reinforcement Learning Security for Industrial Internet of Things

February 15, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT could

Towards Computing Resource Reservation Scheduling in Industrial Internet of Things

December 11, 2020
Author(s)
Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
The Industrial Internet of Things (IIoT) is a critically important implementation of the Internet of Things (IoT), connecting IoT devices ubiquitously in an industrial environment. Based on the interconnection of IoT devices, IIoT applications can collect

On Data Integrity Attacks against Industrial Internet of Things

August 24, 2020
Author(s)
Hansong Xu, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT) is predicted to drive the fourth industrial revolution through massive interconnection of industrial devices, such as sensors, controllers and actuators, integrating advances in smart machinery and data analytics driven

A Deep Learning-Based Weather Forecast System for Data Volume and Recency Analysis

February 18, 2019
Author(s)
Jarrett Booz, Wei Yu, Guobin Xu, David W. Griffith, Nada T. Golmie
Accurate weather forecast is important to our daily life. Through physical atmospheric models, the weather can be accurately forecasted in a short period time. To provide weather forecast, machines learning techniques can be used for understanding and

Performance Assessment of Smart Meter Traffic over LTE Network Using SDR Testbed

February 18, 2019
Author(s)
Amirshahram Hematian, Wei Yu, David W. Griffith, Nada T. Golmie
In the smart grid, a variety of smart meters will be deployed to support diverse services, such as energy distribution management, grid monitoring and management, and the integration of renewable energy resources. On the power distribution side, regular

A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective

December 4, 2018
Author(s)
Hansong Xu, Wei Yu, David W. Griffith, Nada T. Golmie
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the integration of massively deployed smart computing and network technologies in industrial production and manufacturing settings for the express purposes of automation

A 3D Topology Optimization Scheme for M2M Communications

June 29, 2018
Author(s)
Yalong Wu, Wei Yu, Jin Zhang, David W. Griffith, Nada T. Golmie
Without efficient topology management, M2M communications will likely asymmetrically congest gateways and eNodeBs in 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) and Long-Term Evolution Advanced (LTE-A) networks, especially when M2M

A Dynamic Rate Adaptation Scheme for M2M Communications

May 24, 2018
Author(s)
Yalong Wu, Wei Yu, David W. Griffith, Nada T. Golmie
The number of Machine-to-Machine (M2M) devices has continued to grow at an accelerated rate. Without thoughtful and efficient resource management, M2M communications will be asymmetrically handicapped by service rate scarcity as more devices are

A Framework to Enable Multiple Coexisting Internet of Things Applications

March 1, 2018
Author(s)
Wei Yu, Hanlin Zhang, Yalong Wu, David W. Griffith, Nada T. Golmie
Internet of Things (IoT) uses modern information communication technologies to connect massive numbers of objects and support numerous smart critical infrastructure applications (smart grid, smart cites, etc.). To meet the diverse performance requirements

Performance Evaluation of Energy Efficiency with Sleep Mode in Ultra Dense Networks

March 1, 2018
Author(s)
Hansong Xu, Wei Yu, Amirshahram Hematian, David W. Griffith, Nada T. Golmie
Massively deployed mobile devices and an extensive volume of data traffic will immensely increase demand on future wireless networks. The Ultra Dense Network (UDN), as one of key techniques in 5G, is expected to support massive connections and offload the

Towards Detecting Data Integrity Attacks in Smart Grid

October 6, 2017
Author(s)
Linqiang Ge, Wei Yu, Paul Moulema, Guobin Xu, David W. Griffith, Nada T. Golmie
An effective operation of the smart grid relies on the integration of sensing, computing, and communication. Attempting to disrupt the system, an adversary may launch cyber-attacks against the smart grid by compromising components, including meters
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