Recent Submissions

  • Industrial attachment report with United Overseas Bank 

    Beh, Bo Xiang (2018-09-17)
    The purpose of this report is to illustrate the author’s 20-week of Professional Internship (PI) experience at United Overseas Bank (UOB). The PI form part of the requirement in the Bachelor of Engineering (Computer Science) ...
  • Towards better prediction and content detection through online social media mining 

    Chen, Weiling (2018-08-03)
    With the astronomical growth of Online Social Networks (OSN), they have become the new target of many cyber criminals like spammers and phishers and many advertisers which have resulted in worrying issues. These issues ...
  • Serious game design for stroke rehabilitation 

    Chan, Chung Leung (2018-07-25)
    Stroke rehabilitation is a challenging process which requires intensive treatments which are time consuming. In order for stroke survivors to relearn basic skills that stroke may have taken away, repetitive exercises need ...
  • Dense correspondence estimation, image set compression and image retargeting quality assessment 

    Zhang, Yabin (2018-07-12)
    Establishing dense correspondence among images is one fundamental topic in image set compression, image retargeting, computer vision and other image manipulation tasks. As image set compression for cloud-based storage ...
  • Project scheduling in distributed and dynamic environments 

    Song, Wen (2018-07-10)
    Project scheduling is an important task of modern business management. Classic project scheduling approaches assume a centralized and deterministic environment. However, today's manufacturing and management have entered ...
  • Image-inspired haptic interaction 

    Zhang, Xingzi (2018)
    In this research, an image-inspired haptic interaction approach is proposed where the problem of augmenting images with 3D haptic models is addressed in a systematical way. It is hypothesized that images of real scenes can ...
  • Exploiting long context using joint distance and occurrence information for language modeling 

    Chong, Tze Yuang (2018)
    This thesis investigates an approach to exploiting the long context based on the information about the distance and occurrence. By modeling the joint event of distance and occurrence, this approach attempts to incorporate ...
  • Deep interactive learning for fine-grained opinion mining : single-domain, cross-domain & cross-lingual 

    Wang, Wenya (2018)
    Opinion mining or sentiment analysis provides a way to analyze the attitude or emotion of an opinion holder towards an entity or feature of any product. The emergence of opinion mining techniques comes along with the ...
  • Distilling crowd knowledge from software-specific Q&A discussions for assisting developers’ knowledge search 

    Chen, Chunyang (2018)
    With software penetrating into all kinds of traditional or emerging industries, there is a great demand on software development. Faced with the fact that there is a limited number of developers, one important way to meet ...
  • Exploiting item relationships for effective recommendation 

    Sun, Zhu (2018)
    To alleviate the data sparsity and cold start issues in recommendation, many researchers leverage user relationships (e.g. social network) to improve the accuracy of recommender systems. However, social connections may not ...
  • Concept-based embeddings for natural language processing 

    Ma, Yukun (2018)
    Concepts are critical semantics capturing the high-level knowledge of human language. As a way to go beyond the word-level analysis, representing and leveraging the concept-level information is an important add-on to ...
  • Big data visualization for Internet of things (IoT) 

    Wong, Sin Kwan (2018)
    The goal of Big Data Visualization is to present the hidden insight from a data set in a format which allows human to understand it faster. The objective of this case study is to understand how will the overall water quality ...
  • Trading with self-adaptive fuzzy inference system 

    Chew, Yao Kang (2018)
    The need to constantly predict stocks and making accurate decisions based on past experience of the ever-changing market has never been an easy task even for experienced traders. It is very time consuming to study historical ...
  • Recommendation of who-to-follow and what-to-buy 

    Prasetya, Steve Alexander (2018)
    The advancement of technology occurs so fast that it is often difficult to keep up with. This phenomenon affects a lot of things, and one of them is the e-commerce industry. With the rapidly growing user base of the industry, ...
  • Challenges and solutions in drug-target interaction prediction 

    Ezzat, Ali (2018)
    When a drug is developed, it is designed so that it interacts with a specific target of interest in order to achieve the desired therapeutic effect. However, it is quite common to later find that the developed drug also ...
  • Co-resident attack on public cloud infrastructures 

    Toh, Jabrian Yuzhou (2018)
    With the demand of resources constantly growing, cloud service providers such as Amazon EC2 and Microsoft Azure allowed clients to run Virtual Machines (VMs) on a shared physical infrastructure. While the use of multi-tenancy ...
  • SCE17-0185: STIX representation of cyber threat intelligence 

    Phua, Kin Wee (2018-06-07)
    In Cybersecurity operation, it is an important task to share Cyber Threat Intelligence (CTI). In order to facilitate CTI sharing, we need to have a flexible representation for these information. To allow organizations to ...
  • WIthbuddy : virtual study group 

    Sujono, Edward (2018-06-06)
    Nowadays, online course is prevalently accessed by students since there is a need to upgrade their skill sets with the current skill trends. A skill that is developed using an online course would usually be able to help ...
  • MACD-RSI trading system using neuro-fuzzy system 

    Lee, Chun Kiat (2018-06-04)
    Neuro-Fuzzy Systems are made up of Artificial Neural Network (ANN) and Fuzzy Logic which is used in many applications such as predicting trends in stock markets, artificial ventilation modeling, noisy speech recognition ...
  • Brain control embedded system applications 

    Tan, Mitchell Jia Jun (2018-06-04)
    Electroencephalography (EEG) was originally used for medical purposes by examining the brain’s electrical activity. However over the recent years, companies like Neurosky, Interaxon and Emotiv have been introducing their ...

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