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Browsing by Author "Kuang, Boyu"

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Classification of flow regimes using a neural network and a non-invasive ultrasonic sensor in an S-shaped pipeline-riser system

Nnabuife, Somtochukwu Godfrey; Kuang, Boyu; Rana, Zeeshan A.; Whidborne, James F. (Elsevier, 2021-11-24)

A method for classifying flow regimes is proposed that employs a neural network with inputs of extracted features from Doppler ultrasonic signals of flows using either the Discrete Wavelet Transform (DWT) or the Power ...
A comparative analysis of different hydrogen production methods and their environmental impact

Nnabuife, Somtochukwu Godfrey; Darko, Caleb Kwasi; Obiako, Precious Chineze; Kuang, Boyu; Sun, Xiaoxiao; Jenkins, Karl W. (MDPI, 2023-11-29)

This study emphasises the growing relevance of hydrogen as a green energy source in meeting the growing need for sustainable energy solutions. It foregrounds the importance of assessing the environmental consequences of ...
A computational fluid dynamics study of flared gas for enhanced oil recovery using a micromodel

Were, Stephanie; Nnabuife, Somtochukwu Godfrey; Kuang, Boyu (MDPI, 2022-12-19)

The current handling of gas associated with oil production poses an environmental risk. This gas is being flared off due to the technical and economic attractiveness of this option. As flared gases are mainly composed of ...
A dataset for autonomous aircraft refueling on the ground (AGR)

Kuang, Boyu; Barnes, Stuart; Tang, Gilbert; Jenkins, Karl W. (IEEE, 2023-09-01)

Automatic aircraft ground refueling (AAGR) can improve the safety, efficiency, and cost-effectiveness of aircraft ground refueling (AGR), a critical and frequent operation on almost all aircraft. Recent AAGR relies on ...
Development of gas-liquid flow regimes identification using a noninvasive ultrasonic sensor, belt-shape features, and convolutional neural network in an S-shaped riser

Nnabuife, Somtochukwu Godfrey; Kuang, Boyu; Whidborne, James F.; Rana, Zeeshan A. (IEEE, 2021-07-14)

The problem of classifying gas-liquid two-phase flow regimes from ultrasonic signals is considered. A new method, belt-shaped features (BSFs), is proposed for performing feature extraction on the preprocessed data. A ...
Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an S-shaped riser

Kuang, Boyu; Nnabuife, Somtochukwu Godfrey; Sun, Shuang; Whidborne, James F.; Rana, Zeeshan A. (Elsevier, 2022-01-19)

The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed. This research systematically evaluates three ...
Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline-riser using doppler ultrasonic sensor and deep neural networks

Nnabuife, Somtochukwu Godfrey; Kuang, Boyu; Whidborne, James F.; Rana, Zeeshan (Elsevier, 2020-07-26)

The problem of predicting the regime of a two-phase flow is considered. An approach is proposed that classifies the flow regime using Deep Neural Networks (DNNs) operating on features extracted from Doppler ultrasonic ...
A novel aircraft wing inspection framework based on multiple view geometry and convolutional neural network

Kuang, Boyu; Rana, Zeeshan; Zhao, Yifan (3AF and CEAS, 2020-02-28)

To achieve greener and safer aeronautical operations, this paper considers the problem of reconstructing the three-dimensional (3D) geometric structure of aeronautical components. A novel framework that recovers the ...
OG-SLAM: a real-time and high-accurate monocular visual SLAM framework

Kuang, Boyu; Chen, Yuheng; Rana, Zeeshan A. (Peertechz, 2022-07-26)

The challenge of improving the accuracy of monocular Simultaneous Localization and Mapping (SLAM) is considered, which widely appears in computer vision, autonomous robotics, and remote sensing. A new framework (ORB-GMS-SLAM ...
The prospects of hydrogen in achieving net zero emissions by 2050: a critical review

Nnabuife, Godfrey Somtochukwu; Oko, Eni; Kuang, Boyu; Bello, Abdulrauf; Onwualu, Azikiwe Peter; Oyagha, Sherry; Whidborne, James F. (Elsevier, 2023-05-25)

Hydrogen (H2) usage was 90 tnes (Mt) in 2020, almost entirely for industrial and refining uses and generated almost completely from fossil fuels, leading to nearly 900 Mt of carbon dioxide emissions. However, there has ...
Prospects of low and zero-carbon renewable fuels in 1.5-degree net zero emission actualisation by 2050: a critical review

Anika, Ogemdi Chinwendu; Nnabuife, Somtochukwu Godfrey; Bello, Abdulrauf; Okoroafor, Esuru Rita; Kuang, Boyu; Villa, Raffaella (Elsevier, 2022-10-12)

The Paris Climate Agreement seeks to keep global temperature increases under 2° Celsius, ideally 1.5° Celsius. This goal necessitates significant emission reductions. By 2030, emissions are expected to range between 52 and ...
Prospects of low and zero-carbon renewable fuels in 1.5-degree net zero emission actualisation by 2050: a critical review

Anika, Ogemdi Chinwendu; Nnabuife, Somtochukwu Godfrey; Bello, Abdulrauf; Okoroafor, Esuru Rita; Kuang, Boyu; Villa, Raffaella (Elsevier, 2022-10-12)

The Paris Climate Agreement seeks to keep global temperature increases under 2° Celsius, ideally 1.5° Celsius. This goal necessitates significant emission reductions. By 2030, emissions are expected to range between 52 and ...
Pseudo-image-feature-based identification benchmark for multi-phase flow regimes

Kuang, Boyu; Nnabuife, Somtochukwu Godfrey; Rana, Zeeshan (Elsevier, 2020-12-08)

Multiphase flow is a prevalent topic in many disciplines, and flow regime identification is an essential foundation in multiphase flow research. Computer vision and deep learning have achieved numerous excellent models, ...
Rock segmentation in the navigation vision of the planetary rovers

Kuang, Boyu; Wisniewski, Mariusz; Rana, Zeeshan A.; Zhao, Yifan (MDPI, 2021-11-24)

Visual navigation is an essential part of planetary rover autonomy. Rock segmentation emerged as an important interdisciplinary topic among image processing, robotics, and mathematical modeling. Rock segmentation is a ...
Self-supervised learning-based two-phase flow regime identification using ultrasonic sensors in an S-shape riser

Kuang, Boyu; Nnabuife, Somtochukwu G.; Whidborne, James F.; Sun, Shuang; Zhao, Junjie; Jenkins, Karl W. (Elsevier, 2023-09-07)

Two-phase flow regime identification is an essential transdisciplinary topic that spans digital signal processing, artificial intelligence, chemical engineering, and energy. Multiphase flow systems significantly impact ...
Semantic terrain segmentation in the navigation vision of planetary rovers – a systematic literature review

Kuang, Boyu; Gu, Chengzhen; Rana, Zeeshan A.; Zhao, Yifan; Sun, Shuang; Nnabuife, Somtochukwu Godfrey (MDPI, 2022-11-01)

Background: The planetary rover is an essential platform for planetary exploration. Visual semantic segmentation is significant in the localization, perception, and path planning of the rover autonomy. Recent advances in ...
Sky and ground segmentation in the navigation visions of the planetary rovers

Kuang, Boyu; Rana, Zeeshan A.; Zhao, Yifan (MDPI, 2021-10-21)

Sky and ground are two essential semantic components in computer vision, robotics, and remote sensing. The sky and ground segmentation has become increasingly popular. This research proposes a sky and ground segmentation ...

Browsing by Author "Kuang, Boyu"

Browsing by Author "Kuang, Boyu"

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