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Workflow is an important way to mashup reusable software services to create value-added data analytics services. Workflow provenance is core to understand how services and workflows behaved in the past, which knowledge can be used to provide a better recommendation. Existing workflow provenance management systems handle various types of provenance separately. A typical data science exploration scenario,...
In this paper, a forward and inverse modelling approach for application in sea ice physical parameter retrieval is proposed. The algorithm is a combination of a forward model based on Radiative Transfer theory and a global optimizer known as Simulated Annealing. In the model, the forward model provides the estimation of the radar backscatter data from a set of input parameters. The accuracy of the...
This paper describes the development of the framework and the algorithm for large scale automatic speech recognition systems. Technical advances include the acceleration of decoding speed by leveraging the computational power of many-core graphic processing units (GPU), in order to solve the issue of training data sparseness, improvement in the accuracy by Subspace Gaussian Mixture Models (SGMM),...
Sense and avoid (SAA) systems being developed for unmanned aircraft are needed to fulfill the requirement to see and avoid other aircraft. An environment model objectively describes a specific environmental condition so that the performance of unmanned aircraft SAA sensors can be accurately modeled in safety studies. This paper presents an approach to develop an environment model that encompasses...
Unbalanced data, minority classes with few samples, present in many applications. It is difficult to solve the problems of unbalanced data by traditional methods. In this paper, a hybrid algorithm based on random over-sampling, decision tree (DT), particle swarm optimization (PSO) and feature selection is proposed to classify unbalanced data. The proposed algorithm has the ability to select beneficial...
While a wide variety of grammatical mistakes may be observed in the speech of non-native speakers, the types and frequencies of these mistakes are not random. Certain parts of speech, for example, have been shown to be especially problematic for Japanese learners of English [1]. Modeling these errors can potentially enhance the performance of computer-assisted language learning systems. This paper...
This paper describes the system architecture of the Tower Information Display System (TIDS). TIDS is the cornerstone of the Staffed NextGen Tower (SNT) concept, which addresses the important equivalent-visual-operations capability (without building a costly physical tower) identified by the NextGen roadmap. TIDS was used for a feasibility analysis at the Airport Facilities Terminal Integration Laboratory...
The dramatic expansion of semistructured data has led to the development of database systems for manipulating the data. Despite its huge potential, there is still a lack of formality and verification support in the design of good semistructured databases. Like traditional database systems, developed semistructured database systems should contain minimal redundancies and update anomalies, in order...
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