Influence of particle velocity when propelled using N2 or N2-He mixed gas on the properties of cold-sprayed Ti6Al4V coatings by Tan, Adrian Wei-Yee, Lek, Jun Yan, Boothroyd, Chris Brian, Sun, Wen, Bhowmik, Ayan, Marinescu, Iulian, Song, Xu, Zhai, Wei, Li, Feng, Dong, Zhili, Liu, Erjia

“…Particle deposition velocity is one of the most crucial parameters for achieving high-quality coatings because it is the main driving force for particle bonding and coating formation. …”
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Improving the charge separation and collection at the buffer/absorber interface by double-layered Mn-substituted CZTS by Lie, Stener, Sandi, Mario Indra, Tay, Ying Fan, Li, Wenjie, Tan, Joel Ming Rui, Bishop, Douglas M., Gunawan, Oki, Wong, Lydia Helena

“…Since external quantum efficiency (EQE) indicates the short wavelength collection as the main reason for the improved Jsc, we designed a double layered structure of CZTS as bottom layer and CM0.15Z0.85TS as top layer. …”
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TriviA and uTriviA : two fast and secure authenticated encryption schemes by Chakraborti, Avik, Chattopadhyay, Anupam, Muhammad Hassan, Mridul Nandi

“…We have adopted one of the ISO-standardized stream ciphers for lightweight cryptography, namely Trivium, to obtain our underlying stream cipher. The main structure of TriviA-v2 remains same as TriviA-0-v1, except some changes in the internal functions. …”
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Towards deep neural networks robust to adversarial examples by Matyasko, Alexander

“…These adversarially crafted modifications of the input, so-called adversarial examples, are neural network ``blind spots'' and is the main subject of this dissertation. In this thesis, we outline the problem of adversarial examples and show several partial solutions to it. …”
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Lane-aware image enhancement for lane detection in rain (part B - communications) by Tian, Zichen

“…Based on this dissertation’s work, many valuable improvements can be made in the future. 1) The PyTorch implementation’s main structure is finished, so future research only needs to refine the backpropagation, implement the 2-D Gaussian in Torch tensors. …”
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A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings by Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua

“…The framework comprises two main components: a thermal-comfort prediction model, and an optimization algorithm termed as the optimal air temperature (OAT) algorithm; they collectively act as an intelligent mediator between the occupant and the ACMV system. …”
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Topology optimization of support structure for selective laser melting process by Wu, Lingyun

“…As such, this thesis mainly studies the support structure in SLM using topology optimization methods. …”
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Speeding up deep neural network training with decoupled and analytic learning by Zhuang, Huiping

“…The analytic learning trains neural networks in an exceedingly fast fashion as the training is completed within one single epoch. There are two main challenges in this area. The first challenge lies in the difficulty of finding analytical solutions for multilayer networks. …”
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Dynamic resource management to defend against advanced persistent threats in fog computing: a game theoretic approach by Feng, Shaohan, Xiong, Zehui, Niyato, Dusit, Wang, Ping

“…The system model under consideration consists of three main entities, i.e., the fog computing provider, attacker, and cyber-insurer. …”
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Efficient nitrate synthesis via ambient nitrogen oxidation with Ru-doped TiO₂/RuO₂ electrocatalysts by Kuang, Min, Wang, Yu, Fang, Wei, Tan, Huiteng, Chen, Mengxin, Yao, Jiandong, Liu, Chuntai, Xu, Jianwei, Zhou, Kun, Yan, Qingyu

“…Density functional theory (DFT) calculations suggest that Ruδ + can function as the main active center for the NOR process. Remarkably doping Ru into the TiO2 lattice can induce an upshift of the d-band center of the Ru site, resulting in enhanced activity for accelerating electrochemical conversion of inert N2 to active NO*. …”
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Mechanistic insights into the membrane fouling mechanism during ultrafiltration of high-concentration proteins via in-situ electrical impedance spectroscopy (EIS) by Tanudjaja, Henry Jonathan, Ng, Angie Qi Qi, Chew, Jia Wei

“…For 10,000 ppm of BSA, (i) for the PES100 and PSF100 membranes, the Nyquist plots shifted to the left initially, then to the right as the BSA deposition started, but (ii) for the tighter PES10 membrane, the shifts kept going leftwards due to NaCl accumulation out-pacing BSA build-up. The main takeaway for filtering feeds with high BSA concentrations is that higher steady-state flux could be achieved by averting internal fouling, either through using membranes with dense internal structures or lower MWCO.…”
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Mitigation of membrane biofouling via immobilizing Ag-MOFs on composite membrane surface for extractive membrane bioreactor by Yuan, Guoyu, Tian, Yuxiao, Wang, Bingxin, You, Xiaofei, Liao, Yuan

“…During the long-term EMBR operation, membrane biofouling is an inevitable phenomenon, which is one of the main obstacles impeding its wide applications. The excessive biofilm deposited on membrane surface could significantly reduce the organic mass transfer coefficient of composite membranes by more than 40%. …”
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A field study on using soybean waste-derived superabsorbent hydrogel to enhance growth of vegetables by Zhu, Jingling, Suhaimi, Fadhlina, Lim, Jing Ying, Gao, Zhengyang, Swarup, Sanjay, Loh, Chiang Shiong, Li, Jun, Ong, Choon Nam, Tan, Wee Kee

“…However, the current ones are mostly derived from petroleum products and are environmental unsustainable. In this study, the main objective is to determine if bio-based hydrogel can help in the growth of leafy vegetables while minimizing water use under field conditions. …”
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Hydroxyapatite nanoparticles-cell interaction: new approaches to disclose the fate of membrane-bound and internalised nanoparticles by Bonany, Mar, Pérez-Berná, Ana Joaquina, Dučić, Tanja, Pereiro, Eva, Martin-Gómez, Helena, Mas-Moruno, Carlos, van Rijt, Sabine, Zhao, Zhitong, Espanol, Montserrat, Ginebra, Maria-Pau

“…Comparison between cells seeded on the discs and those supplemented with the nanoparticles allowed direct interaction of the cell membrane with the material to be ruled out as the main mechanism of toxicity. In addition, standard techniques such as flow cytometry were inconclusive when used to assess nanoparticles toxicity. …”
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From 2D to 3D: development of monolayer dopaminergic neuronal and midbrain organoid cultures for Parkinson's disease modeling and regenerative therapy by Yeap, Yee Jie, Tng, Teddy J. W., Lee, Mok Jung, Goh, Micaela, Lim, Kah-Leong

“…Here, we have distilled the essence of the different approaches and summarized the main factors driving DA neuronal differentiation, with the view to provide a useful guide to newcomers who are interested in developing iPSC-based models of PD.…”
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Advanced active noise control headphone: algorithm and implementation by Shen, Xiaoyi

“…An adaptive gain (AG) algorithm combining fixed filters with adaptive theory together with the multi-reference strategy is proposed in the thesis. The main motivation of the AG algorithm is to allow a larger step size to be applied compared to the FXLMS algorithm and result in faster convergence. …”
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Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia by Jian, Wei, Lo, Edmond Yat-Man, Stojanovski, Pane, Pan, Tso-Chien

“…Large uncertainties mainly concentrate in high TC activity zones where the peak gusts from individual synthetic event set can be up to 20% higher than the ensemble outputs. …”
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Noise matters in image restoration: from synthetic degradation to real-world challenges by Guo, Lanqing

“…Finally, we introduce a diffusion-based method that jointly generates a shadow-free image and refines incorrectly detected shadow masks, effectively addressing noisy annotation problems. The main contributions of this thesis are three folds: We thoroughly study the noise matters that occurred in various real-world degradation scenarios; we propose various approaches to solve different noise matters image restoration problems from different angles; to verify the effectiveness of the proposed methods, we conduct extensive experiments on multiple datasets. …”
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Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface by Nagarajan, Aarthy, Robinson, Neethu, Ang, Kai Keng, Chua, Karen Sui Geok, Chew, Effie, Guan, Cuntai

“…Experiments were conducted using Deep ConvNet and state-of-the-art subject-specific machine learning MI classifiers, evaluated on OpenBMI two-class MI-EEG data from healthy subjects and two-class MI versus rest data from stroke patients. Main results. Results of our study indicate that through domain adaptation of a model pre-trained using healthy subjects’ data, an average MI detection accuracy of 71.15% ( ± 12.46 % ) can be achieved across 71 stroke patients. …”
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Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image by Ge, Chenkun, Yu, Xiaojun, Yuan, Miao, Fan, Zeming, Chen, Jinna, Shum, Perry Ping, Liu, Linbo

“…Specifically, in this study, the main deep learning architecture is the Self2Self network, with its partial convolution being updated with a gated convolution layer. …”
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