Recent Submissions

  • DC distribution system on vessels and stability analysis 

    Zhou, Jingjie (2019-06-19)
    Currently, most vessels adopt an onboard AC power distribution system. DC distribution system is proposed to be installed on offshore vessels aiming to save fuel and increase the working efficiency on ships, even though ...
  • Encoder-decoder based neural machine translation 

    Luo, Wenhao (2019-06-19)
    With economic globalization and the rapid development of the Internet, the connections between different countries and languages have become closer and closer, which sharply increase people's demand for cross-language ...
  • Pulse-wave based non-contact continuous blood pressure measurement 

    Huang, Jiaxing (2019-06-19)
    Blood pressure measurement is very important for human beings, which directly indicates the status of cardiovascular system. Not only for medical treatment (especially for critical patient during operation), but also for ...
  • Recognizing EEG signals for brain-computer interface based on machine learning 

    Liu, Chang (2019-06-19)
    In recent years, the Brain-Computer Interface (BCI), has been a very popular topic globally. BCI is a method that can establish a direct communication pathway between the human’s brain and external devices by analyzing ...
  • FPGA based advanced control of high frequency power converter 

    Ji, Xinlei (2019-06-19)
    As a result of the rapid development of integrated circuits and power electronics technology, the control technology of power converters is being enhanced. The chip design based on EDA technology is becoming the mainstream ...
  • Machine learning on neuroimaging of brain disorders 

    Gao, Zhuofei (2019-06-19)
    The diagnosis of Schizophrenia and related psychoses is based on interview and clinical symptoms. The diagnosis could be challenged by the complex and heterogeneous symptoms as well as many confounders such as sex and age ...
  • Lane marker detection and rain removal for autonomous vehicle navigation 

    Li, Sihao (2019-06-19)
    With the increasing need for autonomous vehicles, the driving safety of vehicles in severe weather conditions is imperative and needs to be addressed. Lane marker detection provides crucial position related information for ...
  • A data-driven method for network anomaly attack detection in public transport system 

    Yin, Rui (2019-06-19)
    With the popularity of the Internet, more and more businesses and transactions rely on the network to complete, and at the same time, anomaly attacks against various network applications are becoming more and more frequent. ...
  • Performance analysis of ship-to-ship communication using automatic identification system (AIS) 

    Su, Zhengyang (2019-06-19)
    The Automatic Identification System (AIS) is a new type of marine navigation aid that can receive information from the very high frequency (VHF) band in real time. It is used for ship-to-ship/shore communication, ...
  • Ultra-low power 8-bit CMOS adder design based on approximate arithmetic 

    Hu, Zhengyu (2019-06-19)
    In response to the Moore's law and fast-pace society, low power and high speed IC design has become one of the most critical issues in semiconductor industry. Full adder is a commonly-used calculation tool in reality so ...
  • Interval forecasting of renewable power generation 

    Zhang, Hanjie (2019-06-19)
    With the great development of renewable power generation, forecasting of renewable power generation output is significant for modern power grids. Solar power generation, which is the important component of renewable power ...
  • Collision risk assessment at road intersection for autonomous vehicle 

    Li, Pingan (2019-06-19)
    With the development and application of autonomous vehicle technology, ensuring traffic safety has become a top priority. It is expected that autonomous vehicles can estimate the risk of collision with pedestrians at road ...
  • Human activity recognition based on smartphone sensors 

    Rajendran, Abinaya (2019-06-19)
    Human Activity Recognition otherwise called as HAR is a challenging research field that promotes quality of life by means of ambient intelligence and assisted living. The fundamental step for the development of intelligent ...
  • Interval forecasting of renewable power generation 

    Luo, Lingfeng (2019-06-19)
    With the development of renewable energy power generation industry, effective prediction of renewable energy generation is an important issue that modern power grids are facing. Solar power generation is an important ...
  • FPGA based LFMCW generator for small target detection and ranging 

    Foo, Yong Jie (2019-06-19)
    Recently, drones (UAVs) have become increasingly useful in many applications such as surveillance, logistics and aerial recordings because of their cost-effectiveness. However, drones are harder to detect using pulse radar ...
  • The design and implementation of games based on augmented reality 

    Bai, Xin (2019-06-19)
    Augmented Reality is one of the most attractive technologies in the modern era which allows people to see virtual patterns in real-time scenery. In this dissertation, two AR games were designed and implemented through ARKit ...
  • Algorithm development for artefact detection in PPG signal 

    Feng, Siyuan (2019-06-19)
    Photoplethysmography (PPG) is a generally utilized non-invasive optical sensing technology to measure the cardiovascular parameters such as oxygen saturation, blood pressure, heart rate and etc. The changes in tissue and ...
  • A deep learning method for fog removal in image 

    Guo, Dongfang (2019-06-19)
    Fog removal has always been a vital issue in image and video processing. With the development of various vision-based applications (e.g. photography, video surveillance and autonomous driving), images and videos are of ...
  • An ensemble approach to multi-objective evolutionary algorithm 

    Pratama, Januar Ananta Dinar (2019-06-19)
    Multi-objective optimization refers to the procedure of obtaining a set of feasible solution for multiple objective functions. Based on the no free lunch (NFL) theorem, an optimization technique would never exceed all other ...
  • Study of new modulation strategies for neutral point clamped multi-level inverter 

    Bhaskar Mahadevan (2019-06-17)
    Multi-level Inverters convert a fixed DC input to a nearly sinusoidal AC output. Both the output amplitude and frequency may be controlled. Inverters find applications in domestic uninterrupted supplies, grid connected ...

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