Mechanisms and Implementation of Thermo-Optical Annealing in Silica Fiber Sensors for Radiation-Induced Attenuation Mitigation by Legoupil, Aurelien Y. M.

“…The decomposition of RIA into different defect contributions is supported by cold post-irradiation electron paramagnetic resonance (EPR) spectroscopy of fiber preform fragments, which reveals the presence of two types of paramagnetic centers: self-trapped holes and E'_gamma centers. …”
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Efficient generation of an array of single silicon-vacancy defects in silicon carbide by Wang, Junfeng, Zhou, Yu, Zhang, Xiaoming, Liu, Fucai, Li, Yan, Li, Ke, Liu, Zheng, Wang, Guanzhong, Gao, Weibo

“…Color centers in silicon carbide have increasingly attracted attention in recent years owing to their excellent properties such as single-photon emission, good photostability, and long spin-coherence time even at room temperature. …”
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Next generation smart carpark by Kolady, Anamika Martin

“…Addressing these issues, this project endeavours to design an automated car park system to minimise users' waiting times, optimise land use, and maximise parking space efficiency. …”
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Smartphone apps for type 2 diabetes self-management and medication adherence : a multi-method study by Huang, Zhilian

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Conceptual development of revenue and yield management system for shipping business by Poh, Pei Heng.

“…Yield management originated from the airline industry and is widely adopted by other industries such as hotel and car rental. For this paper, we will first look deeper into the airline industry to understand the characteristics that they possess to allow yield management to be efficiently and effectively implemented. …”
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Safety assessment of autonomous vehicles using simulations by Ketki, Chaudhary

“…Since the past few decades, researchers from both automotive and technology industries have focussed their attention on developing vehicles that could drive themselves, so that travel would be less challenging, free from human driver errors and the roads safer for everyone. Self-driving cars are envisioned as robots capable of precise driving, never getting distracted, abiding to all the traffic rules and being able to compute the probability of an imminent collision well in advance. …”
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Discovering NTU with augmented reality by Tey, Jun Yuan

“…As Nanyang Technological University (NTU) has many buildings, with many lecture theatres, tutorial rooms, laboratories, research centers, offices, shops and eating places spread across them, many people, especially visitors and freshmen, find themselves having difficulties navigating through the different venues in NTU. …”
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Bus Ride Index – a refined approach to evaluating road surface irregularities by Nguyen, Teron, Lechner, Bernhard, Wong, Yiik Diew, Tan, Jun Yew

“…Many studies on ride comfort have focused on cars and trucks, but their results are not applicable to buses, which are characterised by inherently different vehicle dynamics. …”
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Security challenges in automotive hardware/software architecture design by Sagstetter, Florian, Lukasiewycz, Martin, Steinhorst, Sebastian, Wolf, Marko, Bouard, Alexandre, Peyrin, Thomas, Poschmann, Axel, Chakraborty, Samarjit, Harris, William R., Jha, Somesh.

“…State-of-the-art automotive architectures are highly heterogeneous and complex systems that rely on distributed functions based on electronics and software. As cars are getting more connected with their environment, the vulnerability to attacks is rapidly growing. …”
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Adversarial example construction against autonomous vehicle (part 2) by Toh, Koo Fong

“…Autonomous vehicles use Deep Neural Network (DNN) to predict the movement of the car. However, DNN is vulnerable to cybersecurity attacks such as adversarial attacks. …”
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Distributed model predictive control for active air suspension systems of autonomous vehicles by Wang, Muyun

“…This work examines the Distributed Model Predictive Control (DMPC) strategy for an intelligent car air spring suspension system. The nonlinear properties and complexity of air spring suspension are crucial for enhancing handling stability and ride comfort, although they also provide control challenges for suspension systems. …”
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Data collection and analysis for air pollutants (NO2,PM2.5) in Hong Kong by Hui, Benedict Chung Wah

“…Especially with the increase number in private car owners in Hong Kong, the roads located near the Central Business district gets heavily congested and therefore increases the pollution levels immensely. …”
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Symbiotic simulation for future electro-mobility transportation systems by Aydt, Heiko, Lees, Michael, Knoll, Alois

“…The outcome of these simulations can be used by server-based smart routing services and/or in-car navigation systems.…”
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Ultrathin two-dimensional materials for photo- and electrocatalytic hydrogen evolution by Di, Jun, Yan, Cheng, Handoko, Albertus D., Seh, Zhi Wei, Li, Huaming, Liu, Zheng

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Chiral secondary amine catalyzed asymmetric cascade reactions by Dai, Lu

“…All the reactions showed high to excellent diastereoselectivity and enantioselectivity in multi stereogenic centers and hence constructed complicated molecules.…”
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Access to spirocyclic oxindoles via N-heterocyclic carbene-catalyzed reactions of enals and oxindole-derived α,β-unsaturated imines by Jiang, Kun, Tiwari, Bhoopendra, Chi, Robin Yonggui

“…A diastereoselective access to β-lactam fused spirocyclic oxindoles and related compounds bearing all carbon spiro centers is described. This N-heterocyclic carbene-catalyzed process employed challenging β,β-disubstituted α,β-unsaturated imines to react with enals.…”
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Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…For example, the front and back of a car, or the front and side of a face. In turn this enables object-level matching and recognition throughout a video.…”

Entanglement gain in measurements with unknown results by Zuppardo, Margherita, Ganardi, Ray, Miller, Marek, Bandyopadhyay, Somshubhro, Paterek, Tomasz

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Evolution of an ultracold gas in a non-Abelian gauge field: finite temperature effect by Hasan, Mehedi, Madasu, Chetan Sriram, Rathod, Ketan Damji, Kwong, Chang Chi, Wilkowski David

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SNeS: learning probably symmetric neural surfaces from incomplete data by Insafutdinov, E, Campbell, D, Henriques, JF, Vedaldi, A

“…We evaluate our method on the recently introduced CO3D dataset, focusing on the car category due to the challenge of reconstructing highly-reflective materials. …”