In response to the governmental policy of saving energy sources and reducing CO2, and carry out the resident quality of local; this paper proposes a new method for a non-intrusive load-monitoring (NILM) system in smart home to implement the load identification of electric equipments and establish the electric demand management. Non-intrusive load-monitoring techniques were often based on power ...

Abstract To enable multi-query analyses, such as optimisations of large-scale crashworthiness problems, a numerically efficient model is crucial for the development process. Therefore, data-driven Model Order Reduction (MOR) aims at generating low-fidelity models that approximate solution while strongly reducing computational cost. MOR methods became only available in recent years; detailed and...

The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-stenting tissue growth, in which the most costly submodel blood flow simulation. This paper presents uncertainty estimations response this model, as obtained by both non-intrusive and semi-intrusive quantification. A surrogate based on Gaussian process regression for quantification takes whole black-box maps dire...

Shader lamps can augment physical objects with projected virtual replications using a camera-projector system, provided that the physical and virtual object are well registered. Precise registration and tracking has been a cumbersome and intrusive process in the past. In this paper, we present a new method for tracking arbitrarily shaped physical objects interactively. In contrast to previous a...

One of the greatest challenges for the production of petroleum in deepwater is flow assurance. In fact, knowledge about the transient cool down behavior of the produced fluid is necessary to prevent the formation of hydrates and solid deposits during shutdown periods, which could result in a pipeline blockage and could result in large financial losses. In a typical subsea petroleum production s...

In this paper the Non-Intrusive Polynomial Chaos Method coupled to a Fictitious Domain approach has been applied to oneand twodimensional elliptic problems with geometric uncertainties, in order to demonstrate the accuracy and convergence of the methodology. The main advantage of non-intrusive formulation is that existing deterministic solvers can be used. A new Least-Squares Spectral Element m...

Measuring speech quality in Voice over Internet Protocol (VoIP) networks is an increasingly important application for legal, commercial and technical reasons. Any proposed solution for measuring the quality should be applicable in monitoring live-traffic non-intrusively. The E-Model proposed by the International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T) achieves t...

Self-aerated free-surface flow studies have a more recent history compared to classical fluid dynamics. Traditional velocimetry techniques are adversely affected by the presence of gas–liquid interfaces. In present study, detailed air-water measurements were performed in highly turbulent flow, and three approaches applied: (a) centreline dual-tip phase-detection needle probe at all step edges d...

This paper advances new directions for cyber security using adversarial learning and conformal prediction in order to enhance network and computing services defenses against adaptive, malicious, persistent, and tactical offensive threats. Conformal prediction is the principled and unified adaptive and learning framework used to design, develop, and deploy a multi-faceted self-managing defensive...