one of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. therefore, in this work, it is attempted to develop an inversion approach to determine a 3d density distribution that produces a given gravity anomaly. the subsurface model consists of a 3d rectangular prisms of known sizes ...

Information from on-line imaging sensors has great potential for the monitoring and control of quality in spatially distributed systems. The major difficulty lies in the efficient extraction of information from the images, information such as the frequencies of occurrence of specific and often subtle features, and their locations in the product or process space. This paper presents an overview ...

The processing of Big Data often includes sorting as a basic operator. Indeed, it has been shown that many software applications spend up to 25% of their time sorting data. Moreover, for computebound applications, the most energy-efficient executions have shown to use a CPU speed lower than the maximum speed: the CPU sweet spot frequency. In this paper, we use these findings to run Big Data int...

Abstract We explore the possibility of multi-parametric resonances from time varying sound speed during cosmological inflation. In particular, we fix our set-up to simpler case beyond a single oscillation model already explored in literature: two sinusoidal harmonics around constant equal one. find that, within perturbative regime, except for some certain extreme corners parameter space, primor...

| This paper proposes a practical algorithm for identifying the dynamics of a continuous-time linear, time-invariant system, embedded in a sampled feedback loop with xed sample time, T. We will show that if the closed-loop connguration is stable, it is rather straightforward to design a set of experiments using a spectrum analyzer that will identify the plant transfer function, Gp(j!), to frequ...