The introduction of modern portable devices has exacerbated the increase of mobile data demand from users. These new mobile terminals exhibit a great variety of applications, some of which require active sessions to be maintained, while others are just short-lived. This introduces additional challenges to mobility management, which traditionally assumed that all traffic had to be mobility-enabl...

Molecular-docking programs coupled with suitable scoring functions are now established and very useful tools enabling computational chemists to rapidly screen large chemical databases and thereby to identify promising candidate compounds for further experimental processing. In a broader scenario, predicting binding affinity is one of the most critical and challenging components of computer-aide...

Disaster Management (DM) is a diffused area of knowledge. It has many complex features interconnecting the physical and the social views of the world. Many international and national bodies create knowledge models to allow knowledge sharing and effective DM activities. But these are often narrow in focus and deal with specified disaster types. We analyze thirty such models to uncover that many ...

A series of experiences and recommendations are presented concerning the derivation geomagnetically induced currents (GIC) by use differential magnetometry method (DMM) under power lines. This indirect technique, intended to obtain observations validate GIC models, is an alternative measuring current flow in transformer neutrals. It a non-intrusive autonomous as procedure does not depend on gri...

Coastal ship tracking is used in many applications, such as autonomous navigation, maritime rescue, and environmental monitoring. Many general object-tracking methods based on deep learning have been explored for tracking, but they often fail to accurately track ships challenging scenarios, occlusion, scale variation, motion blur. We propose a memory-guided perception network (MGPN) address the...

UO2/BeO interfacial thermal resistance (ITR) is calculated by diffuse mismatch model (DMM) and the effects of ITR on UO2-BeO conductivity are investigated. predicted DMM order 10-9 m2K/W. Using this ITR, conductivities theoretical models compared with experimental data. The results indicate that prediction applicable to interface between UO2 dispersed BeO, while not continuous BeO. If containin...

An adjoint-based variational optimal mixed model (VOMM) is proposed for subgrid-scale (SGS) closure in large-eddy simulation (LES) of turbulence. The stabilized adjoint LES equations are formulated by introducing a minimal regularization to address the numerical instabilities long-term gradient evaluations chaotic turbulent flows. VOMM parameters optimized minimizing discrepancy energy dissipat...

Facial Attribute Classification (FAC) has attracted increasing attention in computer vision and pattern recognition. However, state-of-the-art FAC methods perform face detection/alignment independently. The inherent dependencies between these tasks are not fully exploited. In addition, most predict all facial attributes using the same CNN network architecture, which ignores different learning c...