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Quality models for software architecture are taxonomies of quality attributes, commonly used to specify and evaluate nonfunctionalrequirements. Most quality models offer a two-level approach, distinguishing externally ob...

In this paper, we present a UML profile and a group of UML patterns for documenting the component-andconnector views of software architectures [8]. They facilitate the creation of the component and connector viewtype in...

A Federated System is a collection of independent, cooperative, possibly heterogeneous and autonomous computer systems (usually database systems) which allows sharing all or some of its data. A Service-Oriented Architect...

Digital repositories acting as resource aggregators typically face different challenges, roughly classified in three main categories: extraction, improvement and storage. The first category comprises issues related to de...

Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision systems applied to industries are known as machine vision sy...

We describe the design, implementation and deployment of the multi-level agent-based system architecture developed for the SEWASIE project. The aim of the system is to help the user in querying heterogeneous data sources...

Modern computers present a big gap between peak performance and sustained performance. There are many reasons for this situation, but mainly involving an inefficient usage of computational resources. Nowadays the memory ...

Object-oriented software development has proven effective for systems development, but the creation of reusable and changeable software architectures is still a challenging task. Design patterns capture the expertise for...

In the first paragraph of the Introduction of the book the authors say "The definition of computer architecture has generated many discussions since the emergence of what could be considered the first computer in 1943, t...

This paper analyzes the dynamic and static balancing of non-homogenous cluster architectures, simultaneously analyzing the theoretical parallel Speedup as well as the Speedup experimentally obtained. Three interconnected...

The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors base...

We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple ...

We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVR...

Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance ...

Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually being developed, we have found t...

This article presents a proposal of a multithreaded core for an OSI/ISO management agents including its modeling, simulation and performance evaluation. The proposed model i s compared against another one (unthreaded cor...

The need for privacy has become a major priority for both governments and civilians desiring protection from signal interception. Widespread use of personal communications devices has only increased demand for a level of...

We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution f...