Fault Detection Filter Design for LTI System with Time Delays

This paper deals with the fault detection filter design problem for linear time invariant time-delay systems with unknown input. The core of our study is to a) take the behavior of delayed state and measurement into consideration when the observer-based fault detection filter is constructed; b) solve the formulated fault detection filter design problem by combining of using the left eigenstmcture assignment approach and H ∞ optimization technique. Through a suitable choice of the filter gain matrices and residual weighting matrix, the residual can be completely decoupled from the delay-free unknown input, while the influence of the delayed unknown input on residual is mimmized in the sense of H ∞ norm. Numerical simulation is used to illustrate the efficiency of the proposed method.published_or_final_versio

Investigation of multilingual deep neural networks for spoken term detection

The development of high-performance speech processing systems for low-resource languages is a challenging area. One approach to address the lack of resources is to make use of data from multiple languages. A popular direction in recent years is to use bottleneck features, or hybrid systems, trained on multilingual data for speech-to-text (STT) systems. This paper presents an investigation into the application of these multilingual approaches to spoken term detection. Experiments were run using the IARPA Babel limited language pack corpora (∼10 hours/language) with 4 languages for initial multilingual system development and an additional held-out target language. STT gains achieved through using multilingual bottleneck features in a Tandem configuration are shown to also apply to keyword search (KWS). Further improvements in both STT and KWS were observed by incorporating language questions into the Tandem GMM-HMM decision trees for the training set languages. Adapted hybrid systems performed slightly worse on average than the adapted Tandem systems. A language independent acoustic model test on the target language showed that retraining or adapting of the acoustic models to the target language is currently minimally needed to achieve reasonable performance. © 2013 IEEE

Articulatory-feature based sequence kernel for high-level speaker verification

Research has shown that articulatory feature-based phonetic-class pronunciation models (AFCPMs) can capture the pronunciation characteristics of speakers. However, the scoring method used in AFCPMs does not explicitly use the discriminative information available in the training data. To harness this information, this paper proposes converting speaker models to supervectors by stacking the discrete densities in AFCPMs. An AF-kernel is constructed from the supervectors of target speakers, background speakers, and claimants. An AF-kernel based SVM is then trained to classify the super-vectors. Results show that AF-kernel scoring is complementary to likelihood-ratio scoring, leading to better performance when the two scoring methods are combined.Department of Electronic and Information EngineeringRefereed conference pape

Effects of ferroelectric-poling-induced strain on the quantum correction to low-temperature resistivity of manganite thin films

Author name used in this publication: H. L. W. ChanAuthor name used in this publication: H. S. Luo2010-2011 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

A hierarchical EMS for aggregated BESSs in energy and performance-based regulation markets

The battery energy storage systems (BESSs) have been increasingly installed in the power system, especially with the growing penetration rate of the renewable energy sources. However, it is difficult for BESSs to be profitable due to high capital costs. In order to boost the economic value of BESSs, this paper proposes a hierarchical energy management system (HiEMS) to aggregate multiple BESSs, and to achieve multi-market business operations. The proposed HiEMS optimizes the multi-market bids considering a realistic BESS performance model, and coordinates the BESSs and manages their state of charge (SOC) values, according to their price penalties based on dynamically generated annualized cost. By taking part in the energy market and regulation market at the same time, the cost-performance index (CPI) of the BESS aggregation is greatly improved. The impact of photovoltaic generation (PV) on system performance and CPI is also studied.This work is supported in part by DNV GL Energy (formerly KEMA) Technology Centre, Nanyang Technological University, and the Energy Innovation Research Programme (EIRP, Award No. NRF2014EWT-EIRP002-005), administrated by the Energy Market Authority (EMA). The EIRP is a competitive grant call initiative driven by the Energy Innovation Programme Office, and funded by the National Research Foundation (NRF) Singapore

Balancing the yin and yang: TMT gender diversity, psychological safety, and firm ambidextrous strategic orientation in Chinese high-tech SMEs

This paper offers a novel theoretical account of why and when top management team (TMT) gender diversity lends strategic advantage. Building on social role theory, we develop a moderated-mediation model showing: a) TMT psychological safety mediates the effect of TMT gender diversity on firm ambidextrous strategic orientation (ASO) (why) and b) firm slack moderates this mediated effect (when). We tested our model in the context of Chinese high-tech small- and medium-sized enterprises. After confirming gender differences in social role-based proclivities at the TMT level, a multi-wave survey study of 373 members from 120 TMTs showed that TMT gender diversity positively affects ASO via TMT psychological safety, and this mediated effect is stronger when firm slack is lower than higher. We further interviewed 23 top managers to supplement key quantitative results. Our study advances upper echelons research on TMT gender diversity in two ways. First, it highlights the gender-specific interpersonal benefit of TMT gender diversity, which is markedly distinct from the cognitive-variety argument associated generically with TMT demographic diversity. Second, it considers both men and women in TMTs in a more balanced manner, thereby offering an alternative account to the female-focused theorization of the positive strategic implications of TMT gender diversity

The association of pulmonary function with carotid atherosclerosis in older Chinese: Guangzhou Biobank Cohort Study-CVD Subcohort

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