Recent Submissions

  • A comprehensive exploration to the machine learning techniques for diabetes identification 

    Wei, Sidong; Zhao, Xuejiao; Miao, Chunyan (2018)
    Diabetes mellitus, known as diabetes, is a group of metabolic disorders and has affected hundreds of millions of people. The detection of diabetes is of great importance, concerning its severe complications. There have ...
  • Protecting block ciphers against differential fault attacks without re-keying 

    Baksi, Anubhab; Bhasin, Shivam; Breier, Jakub; Khairallah, Mustafa; Peyrin, Thomas (2018)
    In this article, we propose a new method to protect block cipher implementations against Differential Fault Attacks (DFA). Our strategy, so-called “Tweak-in-Plaintext”, ensures that an uncontrolled value ('tweak-in') is ...
  • Application of EMD in fringe analysis: new developments 

    Wang, Chenxing; Kemao, Qian; Da, Feipeng; Gai, Shaoyan (2017)
    Empirical mode decomposition (EMD) based methods have been widely used in fringe pattern analysis, including denoising, detrending, normalization, etc. The common problem of using EMD and Bi-dimensional EMD is the mode ...
  • Comparison between ternary and binary Gray-code based phase unwrapping methods 

    Zheng, Dongliang; Kemao, Qian; Da, Feipeng; Seah, Hock Soon (2017)
    Phase-shifting profilometry using binary patterns with projector defocusing has been widely used for high-speed 3D measurement. Recently, a ternary Gray-code based phase unwrapping method has been proposed, which enables ...
  • A review of sensing technologies for small and large-scale touch panels 

    Qian, Kemao; Kakarala, Ramakrishna; Akhtar, Humza (2017)
    A touch panel is an input device for human computer interaction. It consists of a network of sensors, a sampling circuit and a micro controller for detecting and locating a touch input. Touch input can come from either ...
  • Modeling autobiographical memory in human-like autonomous agents 

    Wang, Di; Tan, Ah-Hwee; Miao, Chunyan (2016)
    Although autobiographical memory is an important part of the human mind, there has been little effort on modeling autobiographical memory in autonomous agents. With the motivation of developing human-like intelligence, in ...
  • WFF-BM3D : a hybrid denoising scheme for fringe patterns 

    Zhao, Ming; Qian, Kemao (2015)
    Fringe patterns are widely used in the optical interferometry. The captured fringe patterns usually have noises, and thus a filtering process for fringe patterns is necessary. The windowed Fourier filtering (WFF) algorithm ...
  • Visual pattern degradation based image quality assessment 

    Wu, Jinjian; Li, Leida; Shi, Guangming; Lin, Weisi; Wan, Wenfei (2015)
    In this paper, we introduce a visual pattern degradation based full-reference (FR) image quality assessment (IQA) method. Researches on visual recognition indicate that the human visual system (HVS) is highly adaptive to ...
  • Progressive sequence matching for ADL plan recommendation 

    Gao, Shan; Wang, Di; Tan, Ah-Hwee; Miao, Chunyan (2015)
    Activities of Daily Living (ADLs) are indicatives of a person's lifestyle. In particular, daily ADL routines closely relate to a person's well-being. With the objective of promoting active lifestyles, this paper presents ...
  • Robust unobtrusive fall detection using infrared array sensors 

    Fan, Xiuyi; Zhang, Huiguo; Leung, Cyril; Shen, Zhiqi (2017)
    As the world's aging population grows, fall is becoming a major problem in public health. It is one of the most vital risk to the elderly. Many technology based fall detection systems have been developed in recent years ...
  • Spoofing speech detection using temporal convolutional neural network 

    Tian, Xiaohai; Xiao, Xiong; Chng, Eng Siong; Li, Haizhou (2016)
    Spoofing speech detection aims to differentiate spoofing speech from natural speech. Frame-based features are usually used in most of previous works. Although multiple frames or dynamic features are used to form a super-vector ...
  • Spoofing detection from a feature representation perspective 

    Tian, Xiaohai; Wu, Zhizheg; Xiao, Xiong; Chng, Eng Siong; Li, Haizhou (2016)
    Spoofing detection, which discriminates the spoofed speech from the natural speech, has gained much attention recently. Low-dimensional features that are used in speaker recognition/verification are also used in spoofing ...
  • A novel density peak clustering algorithm based on squared residual error 

    Parmar, Milan; Wang, Di; Tan, Ah-Hwee; Miao, Chunyan; Jiang, Jianhua (2017)
    The density peak clustering (DPC) algorithm is designed to quickly identify intricate-shaped clusters with high dimensionality by finding high-density peaks in a non-iterative manner and using only one threshold parameter. ...
  • MyLife : an online personal memory album 

    Wang, Di; Tan, Ah-Hwee (2015)
    In this demo, we illustrate the formation, retrieval, and playback of autobiographical memory in an online personal memory album named MyLife. The memory in MyLife consists of pictorial snapshots of one's life together ...
  • Detecting synthetic speech using long term magnitude and phase information 

    Tian, Xiaohai; Du, Steven; Xiao, Xiong; Xu, Haihua; Chng, Eng Siong; Li, Haizhou (2015)
    Synthetic speech is speech signals generated by text-to-speech (TTS) and voice conversion (VC) techniques. They impose a threat to speaker verification (SV) systems as an attacker may make use of TTS or VC to synthesize a ...
  • Robust human activity recognition using lesser number of wearable sensors 

    Wang, Di; Candinegara, Edwin; Hou, Junhui; Tan, Ah-Hwee; Miao, Chunyan (2017)
    In recent years, research on the recognition of human physical activities solely using wearable sensors has received more and more attention. Compared to other types of sensory devices such as surveillance cameras, wearable ...
  • Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system 

    Wang, Di; Quek, Chai; Tan, Ah-Hwee; Miao, Chunyan; Ng, Geok See; Zhou, You (2017)
    Neural Fuzzy Inference System (NFIS) is a widely adopted paradigm to develop a data-driven learning system. This hybrid system has been widely adopted due to its accurate reasoning procedure and comprehensible inference ...
  • Correlation-based frequency warping for voice conversion 

    Tian, Xiaohai; Wu, Zhizheng; Lee, Siu-Wa; Chng, Eng Siong (2014)
    Frequency warping (FW) based voice conversion aims to modify the frequency axis of source spectra towards that of the target. In previous works, the optimal warping function was calculated by minimizing the spectral distance ...
  • Human-centred design for silver assistants 

    Zeng, Zhiwei; Wang, Di; Borjigin, Ailiya; Miao, Chunyan; Tan, Ah-Hwee; Leung, Cyril (2016)
    To alleviate the rapidly increasing need of the healthcare workforce to serve the enormous ageing population, leveraging intelligent and autonomous caring agents is one promising way. Working towards the design and development ...
  • Non-intrusive robust human activity recognition for diverse age groups 

    Wang, Di; Tan, Ah-Hwee; Zhang, Daqing (2015)
    Many elderly prefer to live independently at their own homes. However, how to use modern technologies to ensure their safety presents vast challenges and opportunities. Being able to non-intrusively sense the activities ...

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