RSS 1.0Interdisciplinary Graduate School (IGS)
Recent Submissions
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RNA secondary structure-based design of antisense peptide nucleic acids for modulating disease-associated aberrant tau pre-mRNA alternative splicing
(2019)Alternative splicing of tau pre-mRNA is regulated by a 5' splice site (5'ss) hairpin present at the exon 10–intron 10 junction. Single mutations within the hairpin sequence alter hairpin structural stability and/or the ... -
Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks
(2019)Despite great progress in 3D pose estimation from single-view images or videos, it remains a challenging task due to the substantial depth ambiguity and severe selfocclusions. Motivated by the effectiveness of ... -
Biotransformation of Soluble Microbial Products (SMPs) in an Anaerobic Baffled Reactor (ABR)
(2019)The change in SMP composition of an ABR operating at 24-hour HRT treating synthetic wastewater of medium-strength glucose feed was analysed using SPE-GC-MS. The results showed that alkanes and alkenes generally saw an ... -
Porcine hepatocytes culture on biofunctionalized 3D inverted colloidal crystal scaffolds as an in vitro model for predicting drug hepatotoxicity
(2019)As drug-induced hepatotoxicity represents one of the most common causes of drug failure, three-dimensional (3D) in vitro liver platforms represent a fantastic toolbox to predict drug toxicity and thus reduce in vivo animal ... -
Comparing dead reckoning algorithms for distributed car simulations
(2018)Dead reckoning is an important technique used in distributed virtual environments (DVEs) to mitigate the bandwidth consumption of frequent state updates and the negative effects of network latency. This paper proposes a ... -
RIT2FIS : a recurrent interval type 2 Fuzzy Inference System and its rule base estimation
(2019)Two of the major challenges associated with time series modelling are handling uncertainty present in the data and tracing its dynamical behaviour. A Recurrent Interval Type 2 Fuzzy Inference System or RIT2FIS is presented ... -
Computing argumentative explanations in bipolar argumentation frameworks
(2019)The process of arguing is also the process of justifying and explaining. Transparent reasoning process endows argumentation good explainability. Recently, more research efforts have been devoted to realizing the explanatory ... -
Design and validation of a modular one-to-many actuator for a soft wearable exosuit
(2019)The size, weight, and power consumption of soft wearable robots rapidly scale with their number of active degrees of freedom. While various underactuation strategies have been proposed, most of them impose hard constrains ... -
Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
(2018)Negative symptoms of schizophrenia are often characterized by speech and motor impairments. Therefore, in this paper we combine audio (prosody and conversation) and video (body movement) signals to distinguish patients ... -
Effect of the surface charge of monodisperse particulate foulants on cake formation
(2018)In microfiltration and ultrafiltration, particulate foulants are inevitably deposited on the membrane surface, forming a cake whose structure and behaviour play crucial roles in the subsequent filterability of the suspensions. ... -
Deep room recognition using inaudible echos
(2018)Recent years have seen the increasing need of location awareness by mobile applications. This paper presents a room-level indoor localization approach based on the measured room’s echos in response to a two-millisecond ... -
The effects of mixed carbon source on the competition between Polyphosphate Accumulating Organisms and Glycogen Accumulating Organisms under tropical climate
(2018)Summary of key findings 1. PAOs, cultivated with acetic or propionate acids, can uptake acetic acid, propionic acid, butyric acid, valeric acid and iso-butyric acid. 2. GAO, cultivated with acetic acid, can utilize ... -
Distribution-based semi-supervised learning for activity recognition
(2019)Supervised learning methods have been widely applied to activity recognition. The prevalent success of existing methods, however, has two crucial prerequisites: proper feature extraction and sufficient labeled training ... -
Small-signal modeling, stability analysis, and controller design of grid-friendly power converters with virtual inertia and grid-forming capability
(2019)Distributed virtual inertia provided by grid-friendly power converters is emerging as an effective way for inertia enhancement and frequency regulation improvement in more-electronics power systems. However, most existing ... -
The metagenomics analysis of air, dust and surfaces of tropical buildings
(2018)This study focuses on systematic comparisons between 3 types of samples (dust, air, surface) commonly analyzed in environmental quality studies for better understanding on the source-sink relationships among microbial ... -
Context-based and explainable decision making with argumentation
(2018)Argumentation-based approaches to decision making have gained considerable research interest, due to their ability to select and justify decisions. In order to make better decisions, context is a key piece of information ... -
MNPR : a framework for real-time expressive non-photorealistic rendering of 3D computer graphics
(2018)We propose a framework for expressive non-photorealistic rendering of 3D computer graphics: MNPR. Our work focuses on enabling stylization pipelines with a wide range of control, thereby covering the interaction spectrum ... -
Two-stage stochastic scheduling of transportable energy storage systems for resilient distribution systems
(2018)Transportable energy storage systems (TESSs) provide critical flexibility to enhance the distribution system (DS) resilience. In this paper, a two-stage stochastic restoration scheme is proposed to minimize the total cost. ... -
3D human motion recovery from a single video using dense spatio-temporal features with exemplar-based approach
(2019)This study focuses on 3D human motion recovery from a sequence of video frames by using the exemplar-based approach. Conventionally, human pose tracking requires two stages: 1) estimating the 3D pose for a single frame, ... -
A system for region search and exploration
(2016)With the increasing popularity of mobile devices and location based services, massive amount of geo-textual data (e.g., geo-tagged tweets) is being generated everyday. Compared with traditional spatial data, the textual ...
