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With the advent of the era of pervasive computing, human dependence on sensors is growing. Such sensor-aware contexts usually possess the characteristics of large-magnitude and uncertainty, so networked devices or systems driven by these contexts cannot get distinct and precise related context information yet, and then lead unable to provide users with satisfied desirable services. In order to solve...
In Semantic Web of Things, all provided services should meet users' demands by service-required user information, in which user privacy information necessarily involve, and privacy information leakage is a serious and sensitive legal problem. So how to balance user privacy protection and services quality comes to be a challenging research focus. To solve this problem, a privacy ontology based service...
Complex Event Process is a real-time data process technology based on the event process rule or event pattern, which was used to extract high level knowledge from a big amount of data, such as sensor data, stock data, etc. However, those rules, which are dened by the experts, are generally inaccuracy and static. And it is difcult to adapt to environmental changes. In this paper, to solve the problems,...
It is known that the representation and utilization of real-world dynamic knowledge are increasingly important to open and dynamic computing environments, but traditional semantic web ontology and current existing context-aware systems are still unsuitable to process real-world dynamic knowledge. To solve this problem, by virtue of the advantage of Pragmatic Web in dynamic knowledge expressing and...
This paper studies the influence factor on HMM-based Tibetan Lhasa speech synthesis. In order to find the key factor which makes the most contribution to improve the synthesized Tibetan Lhasa speech, we synthesize Tibetan Lhasa speech by different context labeling and different number of training sentences with different speech synthesis unit, respectively. We build two Tibetan Lhasa speech corpora...
In order to solve the problem of data distribution, heterogeneity, real-time and massive in the Internet environment, this paper studies the data query based on Linked Stream data, and uses the more advanced data query technology CQELS. It is deployed on the Storm distributed architecture with large data-handling capabilities. This article first CQELS study, a detailed analysis of CQELS built local...
Mandarin and Tibetan Lhasa dialect are chosen to be the research objects. Phones sets and corresponding Latin Transformation scheme of Mandarin and Tibetan Lhasa dialect are established respectively. KL distance between two GMMs are studied. GMM-HMM models for phones of two languages are trained on the basis of corpus and pronunciation dictionaries. Phones of Mandarin and Tibetan Lhasa dialect are...
Since similar-functioned web services are gradually increasing in Semantic Web of Things, it's difficult for users to select services they need quickly and efficiently. To solve this problem, this paper proposes a mono-service oriented selection method - Granular Computing Neural Network Service Selection (GCNNSS), which combines Granular Computing with Back-propagation Artificial Neural Network (BPANN)...
Deep neural network (DNN) acoustic models have significantly advanced forward in recent years, outperforming the traditional Gaussian Mixture Hidden Markov Model (GMM-HMM) in large vocabulary continuous speech recognition tasks. We try to develop a practical Lhasa Tibetan ASR system. For higher speech recognition accuracy, in this paper, we consider to investigate the performances of Tibetan acoustic...
The problem that the current sensor search methods cannot use the important character of sensors and semantic information efficiently leads to the search result can not satisfy the user's actual demand, Context-aware Sensor Search Framework (CASSF) in Semantic Web of Things is proposed. In the framework, sensor information is stored as RDF graph to preserve the semantic information to the maximum...
With the continuing increase in the heterogeneity and quantity of data source, such as data from sensors, social networks, business, usage of background knowledge and context information is a growing challenge in complex event processing. To remedy this problem, this paper proposes a framework for context-aware semantic complex event processing, in which domain ontology is used to annotate heterogeneous...
This paper proposes a new method of selecting context information. The method utilizes ontologies and Formal Concept Analysis to require the context information users need. It can be applied in context search engines and other aspects regarding context-aware technology. The paper also proposes the experiment and assessment of the method to prove this method is really beneficial for context search...
Based on synthetically utilizing ontologies, Formal Concept Analysis, Bayes formula and two formulas of time reliability and distance reliability, a hybrid method for solving context inconsistency is proposed. It can be applied in context-aware technology which is a significant part of Semantic Web of Things. The related experiment and assessment reveals that the proposed method is efficient and feasible.
We demonstrate radiation-pressure-driven mechanical oscillations from high optical quality factor silica microdisk resonators on chip. Mechanical quality factors of 3520 in air and 12540 in vacuum for the fundamental radial breathing modes are obtained from 73 μm-diameter silica microdisks with mechanical frequencies of ∼51 MHz. The measured mechanical oscillation threshold powers for the input light...
To overcome the problems about consequence discontinuities and consequence sorting dissatisfaction of relational database-based key word retrieval, a novel data community-oriented object-level retrieval system is designed and implemented, which is based on data graph. The combination of each keyword nodes that center nodes can reach determines a community. Some corresponding adjustments are carried...
Formal concept analysis and rough set theory have both similarities and differences. Although both are on the base of some data table, they provide two different methods for data mining and knowledge acquisition. At first, this paper discusses differences and relations between the extension of formal concepts in formal concept analysis and the equivalence classes of the rough set theory. Then, by...
It is known that semantic Web ontology which is actually crisp ontology can not be used to describe imprecise information in semantic Web. To solve this problem, semantic Web rough ontology should be introduced as a feasible solution. Semantic Web rough ontology which is a knowledge base is an extension of semantic Web ontology to support the semantic Web practical operation. Essentially, it is the...
It is known that traditional precise ontology based information retrieval cannot finish implicit semantic information mining. To solve this problem, rough ontology is introduced into semantic information retrieval to meet the user needs to utmost extent. Firstly, semantic information retrieval is defined and its advantages are analyzed in detail. Secondly, rough ontology is employed to extend precise...
It is known that ontology reasoning mechanism can not be directly applied to default reasoning. To solve this problem, all the characteristics of default reasoning, incomplete ontology and semantic web ontology inheritance mechanism should be dealt with simultaneously, so the method about default inheritance mechanism enhanced semantic web incomplete ontology reasoning is proposed. Firstly, default...
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