introduction breast cancer is one of the most life-threatening conditions among women. early detection of this disease is the only way to reduce the associated mortality rate. mammography is a standard method for the early detection of breast cancer. today, considering the importance of breast cancer detection, computer-aided detection techniques have been employed to increase the quality of ma...

Indicators of Quality of Service (QoS) of Fault Isolation and System Restoration (FISR) service, delivered by SCADA system are computed, discussed and correlated to quality indicators of power supplied to customers. In delivering FISR service, SCADA system, Telco network and Power grid act as a whole heterogeneous network. While SCADA system and Telco network can be well represented by means of...

The European project BRAIN investigates system concepts to provide wireless broadband access to the QoS-based Internet. As basis for the BRAIN radio access HiperLAN/2 is considered. In this paper we propose functions enhancing the HiperLAN/2 radio interface to support IP QoS. Thereby our special focus is on the system ability to schedule the various connections dedicated for IP traffic accordin...

Data Quality Concepts and Techniques Applied to Taxonomic Databases by Eduardo Couto Dalcin The thesis investigates the application of concepts and techniques of data quality in taxonomic databases to enhance the quality of information services and systems in taxonomy. Taxonomic data are arranged and introduced in Taxonomic Data Domains in order to establish a standard and a working framework t...

Providing IP services with QoS support in heterogeneous networks involving wired and wireless sec tions has been identi ed as a challenging task The goal of this paper is to show how link level mechanisms can be enhanced by transport layer information in order to meet transport layer reliability and delay requirements within wireless scenarios Error control mechanisms in Layer Layer and a combi...

In this paper, we propose a robust technique that integrates spatial and temporal information for consistent recovery of the endocardium. To account for the low image quality we introduce a local variant of the Mumford-Shah that is coupled with a model of limited parameters to describe the ventricle, namely an ellipse. The objective function is defined on the implicit space of ellipses, separat...

To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e.g., Page Views, number of online users, and number of orders) of its Web applications, to accurately detect anomalies and trigger timely troubleshooting/mitigation. However, anomaly detection for these seasonal KPIs with various patterns and data quality has been a great challenge, especially withou...

Most organizational databases have a significant number of data errors. While these errors can have an effect on organizational outcomes, the effect can be lessened if users of these databases detect and correct data errors in the systems they use. While the literature suggests that user effectiveness in detecting data errors varies, results presented in this paper demonstrate that consulting a...

Many traditional sparse signal recovery based ISAR imaging methods did not utilize the block scatterers information of targets. Some block Bayesian learning based ISAR imaging algorithms are computational expensive. In this paper, a 2D block 1 0 norms homotopy sparse signal recovery algorithm (the BL1L0 algorithm) is proposed and utilized to form the ISAR image. Compared with Bayesian-based alg...

We study algorithms for carrier and rate allocation in cellular systems with distributed components such as a heterogeneous LTE system with macrocells and femtocells. Existing work on LTE systems often involves centralized techniques or requires significant signaling, and is therefore not always applicable in the presence of femtocells. More distributed CSMAbased algorithms (carrier-sense multi...