The environments of WSN frequently disturb the link quality. Link quality not only affects the reliability of data transmission in the network, but also determines the performance of related Upper-layer network protocol. Therefore, link quality evaluation becomes a considering question. The link quality evaluation methods include data package delivery rate and LQI(Link Quality Index). Practical...

In this paper we present a complete reference framework for the operation of Certification Service Provider as an organisation. The objective is to form an intermediate reference model, to which the CSPs will conform, towards the full compliance to the ISO-9000 quality standards. There are two dimensions of quality in respect of a CSP: The first quality dimension regards the value added securit...

Data quality is critical to a successful data envelopment analysis (DEA) study. Outlier detection not only identifies suspicious data points and thus prevents the drawing of erroneous conclusions, but also can lead to the discovery of unexpected knowledge. This study develops a unified model to identify outliers in DEA studies by examining how they effect on the boundaries of a data set. The pr...

Spatial data quality (SDQ) is conventionally presented in the form of a report. The data quality statements in the report refer to the entire data set. In reality the quality of data varies spatially due to data collection methods, data capturing techniques, and analysis. Thus, the quality of spatial data for one area may not be applicable to spatial data describing other regions. The present s...

Data mining or data analysis in biomedicine is different from other research fields, because the data in biomedical are heterogeneous and, and they are from different sources. Data from different medical sources are voluminous, each of the resources may have different data structure or data schema, the data quality is also different. Moreover, each physician may have its own interpretation with...

To succeed in their tasks, users need to manage data with the most adequate quality levels possible according to specific data quality models. Typically, data quality assessment consists of calculating a synthesizing value by means of a weighted average of values and weights associated with each data quality dimension of the data quality model. We shall study not only the overall perception of ...

Due to the dynamism of topology, sharing of bandwidth and constraint of resources in wireless nodes, the provision of quality of service (QoS) for routing in mobile ad hoc networks (MANETs) presents a great challenge. Security is another crucial aspect of providing QoS since the existence of malicious nodes present all kinds of threats to MANETs. Although a number of mechanisms have been propos...

A considerable number of software projects still exceed time and budget or completely fail, because the qualitative situation of these projects is not visible to the management. Consequently, the management is not able to take actions in time. The problem can be resolved by monitoring the quality of project results and by steering a project at certain major points (so-called Quality Gates). The...