ABSTRACT This paper describes a distributed UML virtual machine, called Matilda, which allows developers to design their applications as UML models and directly execute the models. Matilda accepts a UML model as an input, validates it against the UML metamodel, constructs a Java abstract syntax tree (JAST) according to the input model, and executes Java bytecode generated from the JAST. The arc...

Abstract Real-time applications such as streaming media and voice require encryption algorithms that do not propagate errors and support fast encryption on small blocks. Since IP packets are delivered out-of-order in routed networks it is difficult to synchronize the source and the destination, therefore requiring encryption algorithms to support out-of-order generation of key stream. In this p...

We propose a new parallel implementation of the neural tree feed-forward network architecture that supports eecient evaluation and learning regardless of the number of layers. The neurons of each layer operate in parallel and the layers are the elements of a pipeline that computes the output evaluation vectors for a sequence of input pattern vectors at a rate of one per time step. During the le...

This paper proposes the model of the High Level Parallel Compositions or CPANs to communication patterns / interaction Pipeline and TreeDV for implementing a sorting algorithm by Structured Parallel Programming approach based on the concept of Parallel Objects. The CPANS TreeDV and PipeLine are displayed using the paradigm of object orientation and sorting problem is solved using two different ...

In the past decade, goal-oriented spoken dialogue systems have been the most prominent component in today’s virtual personal assistants. The classic dialogue systems have rather complex and/or modular pipelines. The advance of deep learning technologies has recently risen the applications of neural models to dialogue modeling. However, how to successfully apply deep learning based approaches to...

Pipeline transportation is the main method for long-distance gas transportation; however, ponding in pipeline can affect efficiency and even cause corrosion to some cases. A non-destructive detect using percussion acoustic signals a convolution neural network (CNN) proposed this paper. During process of detection, constant energy spring impact hammer used apply an on pipeline, percussive are co...

The classification of urban landscape in aerial LiDAR point clouds can potentially improve the quality of largescale 3D urban models, as well as increase the breadth of objects that can be detected and recognized in urban environments. In this paper, we introduce a multi-category classification system for aerial LiDAR point clouds. We propose the use of a cascade of binary classifiers for label...

Treating children with autism spectrum disorders (ASD) with behavioral interventions, such as Pivotal Response Treatment (PRT), has shown promise in recent studies. However, deciding which therapy is best for a given patient is largely by trial and error, and choosing an ineffective intervention results in loss of valuable treatment time. We propose predicting patient response to PRT from basel...