Liwei Deng

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In this thesis we present a negotiation protocol in the context of the Ontology Repair System (ORS). Our aim is to enable agents to negotiate in real-time over potential ontology repairs. Based on this goal, we devise, implement, and evaluate an agent negotiation model. The model's goal is to orchestrate the negotiation, thus allowing the agents to reach an(More)
In this paper we present an algorithm for estimating state-dependent polynomial coefficients in the nonstationary-state hidden Markov model (or the trended HMM) which allows for the flexibility of linear time warping or scaling in individual model states. The need for the state-dependent time warping arises from the consideration that due to speaking rate(More)
This paper presents the problem of designing a sliding mode controller via static output feedback for a class of fractional order time-varying mismatched uncertain systems, in which all states are unavailable and estimated states are not required. On the basis of auxiliary system, a sliding mode control law with output feedback characteristics is researched(More)
With the rapid decline in cost of sequencing, it is now affordable to examine multiple genes in a single disease-targeted clinical test using next generation sequencing. Current targeted sequencing methods require a separate step of targeted capture enrichment during sample preparation before sequencing. Although there are fast sample preparation methods(More)
BACKGROUND Much evidence has suggested the positive effect of methadone maintenance treatment (MMT) on mitigating adverse outcomes caused by opioid use. Pretreatment motivations are associated with clients' engagement, retention, and outcomes in drug use treatment. However, motivation is mutable, and few MMT researchers have considered during-treatment(More)
We postulate in this paper that highly structured speech production models will have much to contribute to the ultimate success of speech recognition in view of the weaknesses of the theoretical foundation underpinning current technology. These weaknesses are analyzed in terms of phonological modeling and of phonetic-interface modeling. We present two(More)
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