How do you predict your future movement and locations? by Ko, Zhan Hong

“…This project serves to provide an analysis on GPS data and external information like the calls and messages of a person to predict his/her future movement and location. …”
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Enzymatic preparation of diacylglycerols: lipase screening, immobilization, characterization and glycerolysis performance by Xie, Rui, Peng, Xianwu, Lee, Yee-Ying, Xie, Pengkai, Tan, Chin-Ping, Wang, Yong, Zhang, Zhen

English medium instruction, EAP/ESP: exploring overlap and divergences in research aims by Macaro, E, Aizawa, I

An experimental and simulation study of chip transportation behaviour in gundrilling by Tnay, Guan Leong

“…From the experiments, terminal velocities of typical gun drill chips at different range of particle Reynolds number were determined to construct the unique drag curve. Based on the findings, a computational fluid dynamic (CFD) numerical model was developed to predict the lateral drag forces with respect to the particle Reynolds number. …”
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Black hole binary formation and mergers in supermassive black hole discs by Rowan, C

“…</p> <p>Here, hydrodynamical simulations are performed of BH-BH interactions in AGN discs, showing that the energy of such encounters can be efficiently dissipated by the surrounding gas through a combination of accretion and gravitational drag, leaving behind a bound binary BH system (BBH). …”

Towards understanding genome regulation via high-resolution analysis of chromatin accessibility by Dai, L

“…For both bulk and single-cell datasets, I show the robustness of EpiCall in peak calling down-sampled low-quality data, a significant advantage over current peak callers.…”

Carbon dioxide capture from biomass pyrolysis gas as an enabling step of biogenic carbon nanotube synthesis and hydrogen recovery by Veksha, Andrei, Lu, Jintao, Tsakadze, Zviad, Lisak, Grzegorz

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Determination of operating point for a propulsive wing UAV using CFD by Chan, Chee Shuan

“…CFD simulations were performed using a 2D RANS k-ε turbulence model and the rotating flow was captured using the moving reference frame method. Lift and drag were obtained for different angle of attacks via a control volume analysis of CFD results. …”
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Settling velocity of a porous object by Muhammad Khalil Khaidir

“…The settling experiments were conducted under different fluid viscosities and a curve was plotted which relates Drag Coefficient (CD) with Reynolds Number (Re) and porosity. …”
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CFD analysis of flow across adjacent buildings with concave roof structure using large-eddy simulation (LES) by Foo, Tze Jie

“…The current study will build on the previous study by studying the effects and flow behaviour on two concave roof structures, adjacent to each other and observe any trend in the drag, lift and moment coefficients, which will create additional wind loads onto the structure of the building. …”
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Anisotropic hair keratin-dopamine composite scaffolds exhibit strain-stiffening properties by Zhao, Zhitong, Chua, Huei Min, Goh, Bernice Huan Rong, Lai, Hui Ying, Tan, Shao Jie, Moay, Zi Kuang, Setyawati, Magdiel Inggrid, Ng, Kee Woei

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Composite material production of nonmetallic printed circuit board waste with recycled high density polyethylene by Muniyandi, Shantha Kumari

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Data analytics of air pollution data by Kam, Jia Hao

“…However, the data is presented as raw time series data and no analytics is provided. …”
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Multi-facet in heterogeneous information network representation learning by Zhao, Tianqi

“…The process of converting raw HIN datasets into dense matrixes of lower dimensions while still preserving the network structure as much as possible is called graph embedding or representation learning, which is the very first step to be carried out before any algorithm could be applied on the network to study its structure or node relationships. …”
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An innovative design of household civil defence shelters by Khong, Zhi Cong.

“…In order to be less dependent on foreign imports for raw materials, there is a need to come up with alternatives to reduce the amount of sand needed. …”
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RanDumb: random representations outperform online continually learned representations by Prabhu, A, Sinha, S, Kumaraguru, P, Torr, PHS, Sener, O, Dokania, PK

“…Our primary contribution is empirically demonstrating that existing online continually trained deep networks produce inferior representations compared to a simple pre-defined random transforms. Our approach embeds raw pixels using a fixed random transform, approximating an RBF-Kernel initialized before any data is seen. …”

Detection of Magnetic Field Effects by Confocal Microscopy by Déjean, V, Timmel, C, Konowalczyk, M

“…This dataset contains raw data and accompanying analysis used in the publication 'Detection of Magnetic Field Effects by Confocal Microscopy' by Dejean et al. …”

Compressed event sensing (CES) volumes for event cameras by Lin, Songnan, Ma, Ye, Chen, Jing, Wen, Bihan

“…To address this issue, we propose a novel event representation called compressed event sensing (CES) volumes. CES volumes preserve the high temporal resolution of event streams by leveraging the sparsity property of events and the principles of compressed sensing theory. …”
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Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

“…We propose a method to automatically derive social signals related to individual well-being in team collaboration from raw audio and video data collected in teamwork contexts. …”
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Automating Design Requirement Extraction From Text With Deep Learning by Akay, Haluk, Yang, Maria, Kim, Sang-Gook

“…For the case of textual documentation, poorly written superfluous descriptions filled with jargon are especially challenging for junior designers with less domain expertise to read. …”
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