Recent Submissions

  • An acquisition circuit for electroencephalogram detection device 

    Mo, Yanfei (2019-07-29)
    The brain wave signal is derived from the synaptic potential caused by the synchronization of many neurons, reflecting the electrophysiological activity of brain neurons, which carries a large amount of biological information. ...
  • Security enhancement for massive machine type communication over 5G network 

    Jain, Utkarsh (2019-07-29)
    Massive machine type communication (mMTC) is one of the important part of 5G communication network. A huge number of machines, servers and users are connected to each other over the 5G network. Security is of ...
  • Opinion formation in growing social systems 

    You, Jingbo (2019-07-29)
    We studied the opinion formation in growing networks and observed the correlation between network growth and opinion formation. Numerical simulations are adopted as the main approach for this study. Specifically, We adopted ...
  • Analysis and application of speech adaptation on avatar system 

    Luo, Fei (2019-07-23)
    Schizophrenia is a type of chronic and severe mental disorder, which is affecting an increasing number of people all over the world. The clinical diagnosis and assessment of mentally ill patients are subjective, leading ...
  • Modeling blood pressure using windkessel model 

    Wang, Chutong (2019-07-23)
    Healthcare is a fast-growing industry now catering to the increasing demand of people. Blood pressure is an essential parameter for health condition evaluation. Non-invasive and continuous methods for blood pressure ...
  • Vision enhancement using artificial intelligence techniques 

    Yu, Xiaohan (2019-07-16)
    This dissertation uses the concept of artificial intelligence and deep learning, with a focus on removing rainwater from heavy rain videos based on a former research published on CVPR in 2018 carried out by my supervisor. Clear ...
  • Analog equalizers and SerDes receiver analog front end for 32 Gb/s wireline communication 

    Balachandran, Arya (2019-07-05)
    Options for area-efficient and power-efficient equalization with maximum timing integrity become increasingly crucial for wireline receivers entering data rate more than 10 Gb/s. Different techniques for equalization at ...
  • Image reconstruction algorithms in single pixel camera 

    Zhang, Yige (2019-07-03)
    In 2006, Marco F. Duarte et al successfully designed a single-pixel camera based on compressed sensing (CS) and optical imaging. Single-pixel camera strictly satisfies compressed sensing theory, verifies its correctness, ...
  • Viability of novel insider threat detection framework on augmented real-world and simulated datasets 

    Xiong Tian (2019-07-02)
    Over the past few years, Insider threats have been a growing concern for the organizations. The concerns have arisen due to the reported cases of insider activities damages that have far out weighted the damaged caused by ...
  • Motive classification using deep learning approaches 

    XU, Jiahao (2019-07-02)
    Automated implicit motive classification can be formulated as a natural language processing (NLP) task. With the fast development of computational abilities, complex NLP models have been developed, contributing to the ...
  • Smart computer vision systems for autonomous driving 

    Rajasekaran Neetha (2019-07-01)
    The effect of Artificial Intelligence is expanding widely over several areas includingautonomous vehicles, transportation, automation of manufacturing industries. The autonomous cars and unmanned vehicles have been ...
  • Enhance QANet by BERT for machine reading comprehension 

    Yin, Bo (2019-06-28)
    The aim of this dissertation is to study the implementation of QANet on SQuAD for the machine reading comprehension task, and enhance QANet by introducing the contextual representation BERT architecture for the task. First ...
  • Development of machine learning technique for wearable vital sign monitoring device 

    Zheng, Yandan (2019-06-28)
    The Wearable monitoring device, especially the non-contact wearable monitoring device is prevalent recently. It can monitor the vital signs (heart rate and respiration rate) continuously which can be useful in several ...
  • Improvement of micro-strip GaN-on-SiC backside via-holes process 

    Yu, Zhuoran (2019-06-28)
    When people think of power electronics applications for wide-bandgap semiconductor materials, they often consider silicon carbide or gallium nitride. This is not surprising, as silicon carbide and gallium nitride are the ...
  • Real time semantic segmentation by fully convolutional network for UAV localization in urban environment 

    Jiang, Muyun (2019-06-27)
    Deep learning is an improvement over neural networks that includes more layers of computation, allowing for higher levels of abstraction and prediction in the data. To date, it has become the leading machine learning tool ...
  • Carlibration parameters of social force model (SFM) for customized personal mobility devices (PMD) 

    Yuan, Liqiang (2019-06-27)
    Nowadays, PMDs (personal mobility device) are widely used in all over the world, especially in east Asia, as it is very eco-friendly and convenient for people to go to work or travel around the city. Meanwhile PMD riders ...
  • Travel time prediction using random forest 

    Pranesh, Chaitra (2019-06-26)
    Rapidly increasing vehicle congestion has been deteriorating the quality of life of people in urban areas of many developed and developing countries, including India. Caused mainly by rapid changes in urbanization, ...
  • LED driver design using GaN device 

    Zang, Qibang (2019-06-26)
    The widely used LED lighting driver is series resonant (SR) converter or parallel resonant (PR) converter, which has a simple and understandable topology. The efficiency of conventional LED lighting in the market is around ...
  • Millimeter wave QR based frequency selective surface (FSS) 

    Krishna, Sandeep (2019-06-26)
    In this work, a mmWave - QR based Frequency Selective Surface (FSS) for IoT Sensing Applications with a variety of configuration is proposed. The QR based FSS has a variety of resonant values and can be used as a filter ...
  • Open resource-aided image analytics 

    Zheng, Weihua (2019-06-26)
    Image description is currently a hot research field. Most image description generation networks use only a certain data set to train a neural network, and then use the neural network to describe the input image. However, ...

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