Data quality is a common concern in a wide range of domains. Since agriculture plays an important role in the Brazilian economy, it is crucial that the data be useful and with a proper level of quality for the decision making process, planning activities, among others. Nevertheless, this requirement is not often taken into account when different systems and databases are modeled. This work pres...

In this research study, a model is developed to assess the task-technology fit of ERP enterprise resource planning (ERP) systems and the performance of individual decision makers. The ERP task-technology factors and decision quality measures were identified from a synthesis of literature and adapted for the purposes of this study. Data were collected from the ERP system users in a firm that had...

In late years, the concept of open innovation receives attention from industry and academic. This concept means that firms utilize resources outside for their R&D beyond their boundaries. Behind this background is the fact that firms have more opportunities to utilize resources outside. Previous studies indicate that by utilizing resources outside, firms could make R&D process more efficient or...

Diagnosing a power quality disturbance means identifying the type and cause of the disturbance. Fast diagnosis of power quality disturbances is important so as to assist network operators in performing counter measures and implementing suitable power quality mitigation actions. In this study a novel method for performing power quality diagnosis is presented by using the S-transform and rule bas...

This paper studied the comprehensive evaluation index of sensory luxury of Sound Quality in Vehicle interior noise. The relationship between it and psychoacoustic parameters under different conditions was studied. Four types of vehicle real-time noises were recorded at several running speeds and later were subjectively evaluated in the testing room by semantic subdivided method. According to th...

With the objective of presenting qualitative software system most of the software producers have endeavoured and infact this is their main purpose. Software quality is having multi-dimensional content which may be distinguished and measured easily. To be specific, with the idea of determining the multidimensional content in a more exact pattern various qualitative models have been presented by ...

In this paper, we present a novel approach for tracking a dynamic phenomenon. One of the central issues in sensor networks is energy efficient target tracking, where the goal is to monitor the path of a moving target using a minimum subset of sensor nodes while meeting the specified quality of service (QoS). Unlike other tracking methods that are based on computationally complex clustering tech...

We propose the use of clustering methods in order to discover the quality of each element in a training set to be subsequently fed to a regression algorithm. The paper shows that these methods, used in combination with regression algorithms taking into account the additional information conveyed by this kind of quality, allow the attainment of higher performances than those obtained through sta...

The aim of this study was to assess the environmental impact of socio-cultural practices on the water quality of River Ganga at the foothills of the Garhwal Himalayas in Uttarakhand State, India. The physico-chemical parameters that contributed to the temporal variation and pollution in the river were identified in this study. Principal component analysis (PCA) and Cluster analysis (CA) were us...