ORCID Profile
0000-0002-3752-0806
Current Organisations
University of Adelaide
,
University of Otago
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Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 06-2014
Publisher: Springer International Publishing
Date: 2022
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 03-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: IEEE
Date: 08-2020
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11859802_27
Publisher: IEEE
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: IEEE
Date: 09-2011
Publisher: China Science Publishing & Media Ltd.
Date: 2005
DOI: 10.1360/CRAD20050721
Publisher: IEEE
Date: 12-2021
Publisher: IEEE
Date: 12-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 10-2011
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/DASC.2013.74
Publisher: No publisher found
Date: 2017
Publisher: IEEE
Date: 10-2011
Publisher: IEEE
Date: 04-2015
Publisher: Springer International Publishing
Date: 2022
Publisher: Springer International Publishing
Date: 2022
Publisher: IEEE
Date: 06-2018
Publisher: IEEE
Date: 09-2015
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11814856_16
Publisher: Elsevier BV
Date: 09-2021
Publisher: Springer Science and Business Media LLC
Date: 29-12-2017
Publisher: Oxford University Press (OUP)
Date: 14-03-2016
Publisher: Wiley
Date: 16-09-2017
DOI: 10.1002/CPE.3938
Publisher: IEEE
Date: 05-2019
Publisher: IEEE
Date: 09-2016
DOI: 10.1109/MCSOC.2016.9
Publisher: Springer Science and Business Media LLC
Date: 09-2015
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
Publisher: IEEE
Date: 20-05-2019
Publisher: Springer Science and Business Media LLC
Date: 02-04-2018
Publisher: Springer Science and Business Media LLC
Date: 17-07-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 04-2014
Publisher: Elsevier BV
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Publisher: IEEE
Date: 09-2009
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 12-2016
Publisher: Informa UK Limited
Date: 22-05-2020
Publisher: IEEE
Date: 10-2017
Publisher: Elsevier BV
Date: 05-2011
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 06-2019
Publisher: IEEE
Date: 05-2018
Publisher: Association for Computing Machinery (ACM)
Date: 09-09-2023
DOI: 10.1145/3607920
Publisher: IEEE
Date: 11-2006
Publisher: IEEE
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2009
Publisher: IEEE
Date: 03-2012
Publisher: Hindawi Limited
Date: 30-10-2019
DOI: 10.1155/2019/2893732
Abstract: Spacer bars in the smart reversible lanes make periodically broadcast of messages to share their local observed traffic information with each other. This aims to help other spacer bars acquire the global traffic information and make consistent movement when separating the flows. However, radio interference and vehicles in the traffic may degrade the qualities of wireless communication links and cause frequent message losses in the broadcast. Existing solutions tend to use data forwarding to enhance the message dissemination, which may cause imbalanced load in the spacer bars. For instance, the nodes close to the sink have to forward more messages, whereas the ones far away from the sink have fewer messages for forwarding. The unbalanced distribution of network load has a high risk of blocking the wireless communication links and yield inconsistent movement in the reversible lanes. In this paper, we propose a Cooperative Bargain (CoB) scheme where each spacer bar carries some received messages to help other spacer bars recover their lost messages. Since the spacer bars can only acquire the local information, we formulate a cooperative bargain game to negotiate how to allocate the task of message recovery with a balanced network load until a consensus is achieved. CoB is evaluated with the real-world Wi-Fi communication traces in Isti/rural. Simulation results show that CoB can recover an average of 98.6% messages within 100 milliseconds in a 50-node network. CoB does not require the global network information but it can still achieve a comparable performance to other broadcast schemes.
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Elsevier BV
Date: 04-2016
Publisher: IEEE
Date: 06-2020
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 06-2010
Publisher: Elsevier BV
Date: 02-2023
Publisher: IEEE
Date: 10-2013
Publisher: MDPI AG
Date: 06-04-2022
DOI: 10.3390/MATH10071202
Abstract: Complex-variable chaotic systems (CVCSs) have numerous advantages over real-variable chaotic systems in chaos communication due to their increased unpredictability, confidentiality, and the ease of implementation. Synchronization between the master and slave systems in CVCSs is key to achieving encryption and decryption. However, existing synchronization schemes for CVCSs require the litude of the chaotic signal to be much larger than that of the plaintext. Moreover, traditional chaotic masking of complete synchronization (CS) requires uniformity between the transmitter and receiver ends. Therefore, we propose a complex modified projective difference function synchronization (CMPDFS) of CVCSs to address these issues, where the modified projective matrix helps address the issues with the litude. The receiver end is reconstructed without uniformity of the transmitter. We design the CMPDFS controller and propose a new secure communication scheme for wireless sensor networks (WSNs). The basic principle is fundamentally different from traditional chaotic masking. Simulation results and security analysis demonstrate that the CMPDFS communication scheme has a large key space, high sensitivity to encryption keys, high security, and an acceptable encryption speed. Hence, the proposed scheme can improve the security of WSNs. Moreover, it also can be applied to similar communication systems.
Publisher: IEEE
Date: 05-2020
Publisher: Elsevier BV
Date: 04-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2010
DOI: 10.1109/TPDS.2009.98
Publisher: IEEE
Date: 05-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 08-2019
Publisher: IEEE
Date: 07-2019
Publisher: Elsevier BV
Date: 08-2021
Publisher: ACM
Date: 07-08-2023
Publisher: IEEE
Date: 09-2015
Publisher: ACM
Date: 04-08-2023
Publisher: National Library of Serbia
Date: 2023
Abstract: Conventional electronic Artificial Neural Networks (ANNs) accelerators focus on architecture design and numerical computation optimization to improve the training efficiency. However, these approaches have recently encountered bottlenecks in terms of energy efficiency and computing performance, which leads to an increase interest in photonic accelerator. Photonic architectures with low energy consumption, high transmission speed and high bandwidth have been considered as an important role for generation of computing architectures. In this paper, to provide a better understanding of optical technology used in ANN acceleration, we present a comprehensive review for the efficient photonic computing and communication in ANN accelerators. The related photonic devices are investigated in terms of the application in ANNs acceleration, and a classification of existing solutions is proposed that are categorized into optical computing acceleration and optical communication acceleration according to photonic effects and photonic architectures. Moreover, we discuss the challenges for these photonic neural network acceleration approaches to highlight the most promising future research opportunities in this field.
Publisher: Wiley
Date: 07-06-2021
DOI: 10.1002/CPE.6443
Abstract: The dynamical performance of vehicles on railway tracks is significantly influenced by wheel‐rail interactions, which makes the wheel‐rail force be a safety indicator of vehicle systems. Owing to the high cost of direct measurement, inversion models are widely used to measure the wheel‐rail force. This study proposes a model called the Lightweight Wheel‐Rail Force Inversion Model (LFIM) to calculate the wheel‐rail force by using vibration signals collected from the vehicle system. The model can extract the relevant features, and outperforms prevalent models. It is also resource efficient and small in size, which makes it suitable for edge computing environment. The basic LFIM yielded a correlation coefficient of 0.99 in experiments, significantly higher than the value recorded by the traditional dynamic methods. The compressed LFIM yielded a 91% reduction in floating‐point operations (FLOPs) and had an R 2 score of 90%, which satisfies the demands for vehicle monitoring. By balancing accuracy and size, LFIM is a feasible model to deploy on edge devices to monitor the wheel‐rail force in real‐time and assess the safety of railway vehicles.
Publisher: ACM
Date: 02-12-2013
Publisher: Springer Science and Business Media LLC
Date: 11-2021
DOI: 10.1186/S12911-021-01615-6
Abstract: Clinical notes are unstructured text documents generated by clinicians during patient encounters, generally are annotated with International Classification of Diseases (ICD) codes, which give formatted information about the diagnosis and treatment. ICD code has shown its potentials in many fields, but manual coding is labor-intensive and error-prone, lead to researches of automatic coding. Two specific challenges of this task are (1) given an annotated clinical notes, the reasons behind specific diagnoses and treatments are implicit (2) explainability is important for practical automatic coding method, the method should not only explain its prediction output but also have explainable internal mechanics. This study aims to develop an explainable CNN approach to address these two challenges. Our key idea is that for the automatic ICD coding task, the presence of informative snippets in the clinical text that correlated with each code plays an important role in the prediction of codes, and an informative snippet can be considered as a local and low-level feature. We infer that there exists a correspondence between a convolution filter and a local and low-level feature. Base on the inference, we come up with the Shallow and Wide Attention convolutional Mechanism (SWAM) to improve the CNN-based models’ ability to learn local and low-level features for each label. We evaluate our approach on MIMIC-III, an open-access dataset of ICU medical records. Our approach substantially outperforms previous results on top-50 medical code prediction on MIMIC-III dataset, the precision of the worst-performing 10% labels in previous works is increased from 0% to 53% on average. We attribute this improvement to SWAM, by which the wide architecture with attention mechanism gives the model ability to more extensively learn the unique features of different codes, and we prove it by an ablation experiment. Besides, we perform manual analysis of the performance imbalance between different codes, and preliminary conclude the characteristics that determine the difficulty of learning specific codes. Our main contributions can be summarized into the following three: (1) We present local and low-level features, a.k.a. informative snippets play an important role in the automatic ICD coding task, and the informative snippets extracted from the clinical text provide explanations for each code. (2) We propose that there exists a correspondence between a convolution filter and a local and low-level feature. A combination of wide and shallow convolutional layer and attention layer can help the CNN-based models better learn local and low-level features. (3) We improved the precision of the worst-performing 10% labels from 0 to 53% on average.
Publisher: Springer Science and Business Media LLC
Date: 02-01-2021
Publisher: ACM
Date: 21-11-2017
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 05-2019
Publisher: IEEE
Date: 10-2017
DOI: 10.1109/LCN.2017.34
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 08-2009
Publisher: Optica Publishing Group
Date: 07-12-2021
DOI: 10.1364/OE.430194
Abstract: The combination of three-dimensional integrated circuits (3D ICs) and Optical Network-on-Chip (ONoC) can provide significant performance gains for Chip Multi-Processors (CMPs). Multicast communication is one of the most important inter-core communication primitives, which widely exists in parallel computing applications in CMPs. However, most existing schemes only focus on the optimization of one multicast, which limits the practical applications since real systems often have to handle multiple multicasts requested from various applications concurrently. In this paper, we target on routing and wavelength assignment for multiple multicasts in 3D ONoC, with the objective of reducing the number of wavelengths required. The main idea is to develop low-complexity routing policies to reduce the number of wavelengths required for routing multiple multicasts traffic by considering the distribution of multicast nodes in 3D ONoC. Extensive simulations with different traffic profiles reveal that our proposed scheme can reduce the number of wavelengths used by 33.1% compared to other schemes. Both theoretical and simulation results show that the proposed scheme has the advantages of low routing complexity, low wavelength requirement, and good scalability.
Publisher: Springer Science and Business Media LLC
Date: 23-11-2022
Publisher: IEEE
Date: 16-11-2020
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 05-2021
Publisher: IEEE
Date: 08-2014
Publisher: IEEE
Date: 12-2013
Publisher: Springer Science and Business Media LLC
Date: 22-01-2014
Publisher: Association for Computing Machinery (ACM)
Date: 26-10-2017
DOI: 10.1145/3122984
Abstract: Mobile opportunistic networking is a promising technology that can supplement existing cellular and WiFi networks to provide desirable services for smart and connected communities. Message routing is the most compelling challenge in mobile opportunistic networks due to the lack of contemporaneous end-to-end paths and the resource constraints at mobile devices. To improve the probability of successful message delivery, most existing routing schemes use the past contact history to predict future contacts for message forwarding, and exploit message replication and redundancy for multicopy routing. However, most existing prediction-based routing schemes simply use the average pairwise contact probability as the routing metric and neglect the benefits of exploring fine-grained contact information such as pairwise repeated contact patterns to improve the accuracy of predicting future contacts. Moreover, there is no efficient mechanism that can adaptively control message replication in a decentralized manner to achieve both high probability of successful message delivery and low message overhead. To address these problems, we present FGAR, a routing protocol designed for mobile opportunistic networks by leveraging fine-grained contact characterization and adaptive message replication. In FGAR, contact history is characterized in a fine-grained manner with timing information using a sliding window mechanism, and future contacts are predicted based on the fine-grained contact information, thereby improving the accuracy of contact prediction. We further design an efficient message replication scheme in which message replication is controlled in a fully decentralized manner by taking into account the expected message delivery probability, the replication history, and the quality of the encountered device. A replica is generated only when it is necessary to fulfill the expected message delivery probability. We evaluate our scheme through trace-driven simulations, and the simulation results show that FGAR outperforms existing schemes. In comparison with PRoPHET, FGAR can achieve more than 20% improvement on average on successful message delivery, whereas the message overhead has been reduced by a factor up to 15.
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11590354_87
Publisher: Elsevier BV
Date: 10-2020
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 10-2019
Publisher: Springer Singapore
Date: 2020
Publisher: IEEE
Date: 08-2016
Publisher: IEEE
Date: 08-2016
Publisher: Association for Computing Machinery (ACM)
Date: 31-03-2019
DOI: 10.1145/3309763
Abstract: Radio links in wireless body area networks (WBANs) commonly experience highly time-varying attenuation due to the dynamic network topology and frequent occlusions caused by body movements, making it challenging to design a reliable, energy-efficient, and real-time communication protocol for WBANs. In this article, we present Chimp, a learning-based power-aware communication protocol in which each sending node can self-learn the channel quality and choose the best transmission power level to reduce energy consumption and interference range while still guaranteeing high communication reliability. Chimp is designed based on learning automata that uses only the acknowledgment packets and motion data from a local gyroscope sensor to infer the real-time channel status. We design a new cost function that takes into account the energy consumption, communication reliability and interference and develop a new learning function that can guarantee to select the optimal transmission power level to minimize the cost function for any given channel quality. For highly dynamic postures such as walking and running, we exploit the correlation between channel quality and motion data generated by a gyroscope sensor to fastly estimate channel quality, eliminating the need to use expensive channel s ling procedures. We evaluate the performance of Chimp through experiments using TelosB motes equipped with the MPU-9250 motion sensor chip and compare it with the state-of-the-art protocols in different body postures. Experimental results demonstrate that Chimp outperforms existing schemes and works efficiently in most common body postures. In high-date-rate scenarios, it achieves almost the same performance as the optimal power assignment scheme in which the optimal power level for each transmission is calculated based on the collected channel measurements in an off-line manner.
Publisher: IEEE
Date: 12-2016
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 25-01-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: IEEE
Date: 09-2007
DOI: 10.1109/ICPP.2007.37
Publisher: IEEE
Date: 12-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: IEEE
Date: 05-2016
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 07-2017
Publisher: Springer Science and Business Media LLC
Date: 05-02-2018
Publisher: ACM
Date: 21-02-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2012
Publisher: Elsevier BV
Date: 08-2019
Publisher: IEEE
Date: 10-2013
Start Date: 2016
End Date: 2019
Funder: Royal Society of New Zealand
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