Search results for "DRIVE"
showing 10 items of 543 documents
Metaheuristics meet metamodels : a modeling language and a product line architecture for route optimization systems
2011
ISTehnology – integrated Approach to IS Development and Benefits of its Using
2011
The system ISTechnology and benefits of its usage are analyzed in the paper. ISTechnology provides an integrated approach to business modeling and development of information systems. The system consists of a meta-model and applications. The meta-model enables defining of a platform independent business model of the organization. The applications provide the definition and interpretation of the business model. Interpretation of the business model provides functionality of the information system in the selected platform. The lessons learned confirm that the development and maintenance cost of information systems can be significantly reduced by use of the ISTechnology. The paper describes addi…
Assessing risk perception over recidivist traffic offenders from a multi-group approach: how gendered could it be?
2022
ABSTRACT Objective: The core aim of this study was to examine the predictive role of demographic, psychosocial and driving features of Spanish drivers on their risk perception over recidivist traffic offenders, focusing on gender as a key differentiating factor. Method: For this cross-sectional study, it was analyzed the data gathered from a nationwide sample of 1,711 licensed drivers from the 17 regions of Spain (49% females, 51% males) with a mean age of 40.07 years, responding to a telephone-based interview on road safety issues. Demographic, driving-related and psychosocial factors were comparatively analyzed through robust tests and a bias-corrected MGSEM (Multi-Group Structural Equati…
Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems
2020
Over the last few years, extraordinary advances in experimental and theoretical tools have allowed us to monitor and control matter at short time and atomic scales with a high degree of precision. An appealing and challenging route toward engineering materials with tailored properties is to find ways to design or selectively manipulate materials, especially at the quantum level. To this end, having a state-of-the-art ab initio computer simulation tool that enables a reliable and accurate simulation of light-induced changes in the physical and chemical properties of complex systems is of utmost importance. The first principles real-space-based Octopus project was born with that idea in mind,…
The prediction of three driving quality states of simulated driving by psychophysiological variables with sleep-deprived subjects
2005
Study of thermoelectric magnetohydrodynamic convection on solute redistribution during laser additive manufacturing
2020
Abstract Melt pools formed in laser additive manufacturing (AM) are subject to large thermal gradients, resulting in the formation of thermoelectric currents due to the Seebeck effect. When in the presence of an external magnetic field, a Lorentz force is formed which drives fluid flow in the melt pool. This Thermoelectric Magnetohydrodynamics (TEMHD) phenomenon, can have a significant impact on the melt pool morphology and can alter the microstructural evolution of the solidification process. By coupling steady-state mesoscopic melt pool calculations to a microscopic solidification model, predictions of the resulting microstructure for multiple deposited layers have been obtained. The resu…
Use of driving simulators for advanced driver assistance Systems evaluation in emergency situations
2012
Introducing advanced driver assistance systems in cars has numerous consequences, particularly on drivers' behavior and their interaction with the vehicle. The expected safety benefits of assistance systems can thus be jeopardized. In order to assess the actual safety benefits, driving simulators offer a safe and cheap alternative. This doctoral work relies on experiments carried out on driving simulators with different assistance systems. A first experimental part focuses on longitudinal control assistance: we studied drivers' familiarization with a Forward Collision Warning system in critical situations. A second experimental part focuses on lateral control assistance: we studied drivers'…
Cluster-Based RF Fingerprint Positioning Using LTE and WLAN Outdoor Signals
2015
In this paper we evaluate user-equipment (UE) positioning performance of three cluster-based RF fingerprinting methods using LTE and WLAN signals. Real-life LTE and WLAN data were collected for the evaluation purpose using consumer cellular-mobile handset utilizing ‘Nemo Handy’ drive test software tool. Test results of cluster-based methods were compared to the conventional grid-based RF fingerprinting. The cluster-based methods do not require grid-cell layout and training signature formation as compared to the gridbased method. They utilize LTE cell-ID searching technique to reduce the search space for clustering operation. Thus UE position estimation is done in short time with less comput…
An efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths
2015
In this paper we propose a novel cluster-based RF fingerprinting method for outdoor user-equipment (UE) positioning using both LTE and WLAN signals. It uses a simple cost effective agglomerative hierarchical clustering with Davies-Bouldin criterion to select the optimal cluster number. The positioning method does not require training signature formation prior to UE position estimation phase. It is capable of reducing the search space for clustering operation by using LTE cell-ID searching criteria. This enables the method to estimate UE positioning in short time with less computational expense. To validate the cluster-based positioning real-time field measurements were collected using readi…
An Approach for Network Outage Detection from Drive-Testing Databases
2012
A data-mining framework for analyzing a cellular network drive testing database is described in this paper. The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. The essence of the method is to find similarities between periodical network measurements and previously known outage data. For this purpose, diffusion maps dimensionality reduction and nearest neighbor data classification methods are utilized. The method is cognitive because it requires training data for the outage detection. In addition, the method is autonomous because it uses minimization of drive testing (MDT) functionalit…