http://hdl.handle.net/10453/35201 2026-04-04T18:57:42Z http://hdl.handle.net/10453/104661 Title: Optically induced charge transfer as the foundation for nanobot technology Authors: Canning, J Abstract: © OSA 2016.A new approach to fabricating nanobot technology based on charge transfer with optical excitation is proposed. Some general molecular robotic systems are suggested, including the possibility of a nanobot with molecular clamps for gripping and tail for locomotion. 2016-08-29T00:00:00Z http://hdl.handle.net/10453/101878 Title: Feature Engineering and Supervised Learning Classifiers for Respiratory Artefact Removal in Lung Function Tests Authors: Pham, TT; Nguyen, DN; Dutkiewicz, E; McEwan, AL; Thamrin, C; Robinson, PD; Leong, PHW Abstract: A critical task in forced oscillation technique (FOT), a promising lung function test, is to remove respiratory artefacts. Manual removal by specialists is widely used but time-consuming and subjective. Most existing automated techniques have involved simple thresholding methods in an unsupervised manner. Breath cycles can be classified by a binary classification model (classes: artefactual and accepted). While attempting to use off-the-shelf sorting algorithms (e.g., one-class support vector machine, knearest neighbours, and adaptive boosting ensemble), we noticed their poor detection performance. This may result from the dependence of samples as found in physiological studies of the lung function that challenges the learning process. Specifically, statistics of breaths that we recorded may change from one to another patient and even within the same recording of a patient. We introduce an additional feature engineering step that is an intermediate module to decorrelate samples, called feature learning (using Wilcoxon signed rank tests). To that end, we collected FOT recordings from various groups of patients (paediatric and adult including healthy and asthmatics). Artefacts in this work were recorded naturally and processed in a complete-breath approach. Performance metrics include evaluations on preservation of “accepted” breaths in the filtered output (including F1- score, throughput, and approval rate). Our experiment found that our feature engineering steps significantly improve the artefact removal performance of all implemented classifiers especially with feature inputs selected by mutual information criterion. 2016-12-01T00:00:00Z http://hdl.handle.net/10453/94127 Title: Approximation of uplink inter-cell interference in FDMA small cell networks Authors: Ding, M; Lopez-Perez, D; Mao, G; Lin, Z Abstract: © 2015 IEEE. In this paper, for the first time, we analytically prove that the uplink (UL) inter-cell interference in frequency division multiple access (FDMA) small cell networks (SCNs) can be well approximated by a lognormal distribution under a certain condition. The lognormal approximation is vital because it allows tractable network performance analysis with closed-form expressions. The derived condition, under which the lognormal approximation applies, does not pose particular requirements on the shapes/sizes of user equipment (UE) distribution areas as in previous works. Instead, our results show that if a path loss related random variable (RV) associated with the UE distribution area, has a low ratio of the 3rd absolute moment to the variance, the lognormal approximation will hold. Analytical and simulation results show that the derived condition can be readily satisfied in future dense/ultra-dense SCNs, indicating that our conclusions are very useful for network performance analysis of the 5th generation (5G) systems with more general cell deployment beyond the widely used Poisson deployment. 2016-02-23T00:00:00Z http://hdl.handle.net/10453/94126 Title: Will the area spectral efficiency monotonically grow as small cells go dense? Authors: Ding, M; Lopez-Perez, D; Mao, G; Wang, P; Lin, Z Abstract: © 2015 IEEE. In this paper, we introduce a sophisticated path loss model into the stochastic geometry analysis incorporating both line-of-sight (LoS) and non- line-of-sight (NLoS) transmissions to study their performance impact in small cell networks (SCNs). Analytical results are obtained on the coverage probability and the area spectral efficiency (ASE) assuming both a general path loss model and a special case of path loss model recommended by the 3rd Generation Partnership Project (3GPP) standards. The performance impact of LoS and NLoS transmissions in SCNs in terms of the coverage probability and the ASE is shown to be significant both quantitatively and qualitatively, compared with previous work that does not differentiate LoS and NLoS transmissions. From the investigated set of parameters, our analysis demonstrates that when the density of small cells is larger than a threshold, the network coverage probability will decrease as small cells become denser, which in turn makes the ASE suffer from a slow growth or even a notable decrease. For practical regime of small cell density, the performance results derived from our analysis are distinctively different from previous results, and shed new insights on the design and deployment of future dense/ultra-dense SCNs. It is of significant interest to further study the generality of our conclusion in other network models and with other parameter sets. 2016-02-23T00:00:00Z