The cloud offers clear benefits for computations as well as for storage for diverse application areas. Security concerns are by far the greatest barriers to the wider uptake of cloud computing, particularly for privacy-sensitive applications. The aim of this article is to propose an approach for establishing trust between users and providers of cloud infrastructures (IaaS model) based on certif...

The Internet and the availability of vast computational resources, ever-growing data and storage capacity have the potential to de ne a new paradigm for robotics and automation. An intelligent system connected to the Internet can expand its onboard local data, computation and sensors with huge data repositories from similar and very di erent domains, massive parallel computation from server far...

In this paper, we analyzed the influence of IOT and cloud computation on the development of the logistics industry, built the intelligent logistics system on the basis of IOT and cloud computation, analyzed the three-layer architecture of the system and at the end, predicted the great change to be caused by IOT and cloud computation for the logistics industry in the big data era.

This paper presents a new design that implements the data-driven (i.e. dataflow) computation paradigm with intelligent memories. Also, a relevant prototype that employs FPGAs is presented for the support of intelligent memory structures. Instead of giving the CPU the privileged right to decide what instructions to fetch in each cycle (as is the case for control-flow CPUs), instructions in dataf...

The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...

In order to improve the performance of mobile edge computing (MEC) system, intelligent reflecting surface (IRS) has recently been included. This paper investigates computation an IRS-aided MEC where access point services multi-MEC devices by utilizing two distributed IRSs operate a partial offloading strategy. Through collaboratively constructing cooperative passive beamforming at IRSs, central...

Many different methods for combining human expertise with machine learning in general, and evolutionary computation in particular, are possible. Which of these methods work best, and do they outperform human design and machine design alone? In order to answer this question, a human-subject experiment for comparing human-assisted machine learning methods was conducted. Three different approaches...