In the present work, an artificial neural network (ANN) model was used to study the quantitative structure retention relationship (QSRR) of retention index (RI) of some volatile compounds in natural cocoa and conched chocolate powder. Molecular structural descriptors are selected using genetic algorithm to construct the nonlinear QSRR models, kernel partial least squares PLS (KPLS) and Levenber...

In this paper we propose a knowledge-based approach for solving data dependence testing and loop scheduling problems. A rule-based system, called the K-Test, is developed by repertory grid and attribute ording table to construct the knowledge base. The K-Test chooses an appropriate testing algorithm according to some features of the input program by using knowledge-based techniques, and then ap...

The complexity class of Πpk-polynomial local search (PLS) problems is introduced and is used to give new witnessing theorems for fragments of bounded arithmetic. For 1 ≤ i ≤ k + 1, the Σi -definable functions of T k+1 2 are characterized in terms of Π p k-PLS problems. These Π p kPLS problems can be defined in a weak base theory such as S 2 , and proved to be total in T k+1 2 . Furthermore, the...

In wind tunnels, the Mach number needs to be precisely monitored and controlled. It is difficult obtain directly online, especially when tunnel system operating in multiple modes. To deal with this problem, a prediction algorithm based on kernel partial least squares method proposed for multi-mode systems. First, order reflect real-time changes, time-slice regression adopted. Then, enable model...

Augmented reality (AR) has been presented lately as one of the key technology fields in which 5G networks can become a disruptive tool, raising interest from both industry and academia. The main goal this article is to extend current state art distributed AR studies implementations by extracting algorithms' offloading requirements individually. This extension further achieved depicting data flo...

Reading and sharing online news has become an important part of people’s entertainment lives. Therefore it would be greatly helpful if we could accurately predict the popularity of news prior to its publication for social media workers (authors, advertisers, etc.). Our goal is to predict the popularity of a news post (measured by number of shares) based on various features (see Table I.). In th...

I-vectors are a concise representation of speaker characteristics. Recent advances in speaker recognition have utilized their ability to capture speaker and channel variability to develop efficient recognition engines. Inter-speaker relationships in the ivector space are non-linear. Accomplishing effective speaker recognition requires a good modeling of these non-linearities and can be cast as ...

Building sector is contributing to the 36% of the C02 emissions in Europe, and consurning the 40% of final energy consurnption. In this context this paper presents a new approach developed under the ENCOURAGE project to carry out the user awareness. The proposed user awareness is based on a set of KPls, and done at two levels: energy mangers and university campus users. The KPfs are displayed t...