Augmented Reality (AR) is the evolution of the concept of Virtual Reality (VR). Its goal is to enhance a person's perception of the surrounding world. AR is a fast growing state of the art technology and a variety of implementation tools thereof exist today. Due to the heterogeneity of available technologies, the choice of the appropriate framework for a mobile application is difficult to make....

The widespread use of biogas and biomass fuels in facility agro-industrial parks has led to a significant increase their carbon emissions. A day-ahead optimal scheduling model for an integrated energy system (IES) is proposed, that considers the coupling power gas (P2G) reduce emissions during operation industrial park. proposed incorporates two evaluation indices economy by IES park, formulate...

Until recently, it was not known whether it was possible to sort stably (i.e., keeping equal elements in their initial order) an array of n elements using only O(n) data moves and O(1) extra space. In [13] an algorithm was given to perform this task in O(n2) comparisons in the worst case. Here, we develop a new algorithm for the problem that performs only O(n1+ε) comparisons (0 < ε ≤ 1 is any f...

Variational Bayes (VB), also known as independent mean-field approximation, has become a popular method for Bayesian network inference in recent years. Its application is vast, e.g. in neural network, compressed sensing, clustering, etc. to name just a few. In this paper, the independence constraint in VB will be relaxed to a conditional constraint class, called copula in statistics. Since a jo...

1. INTRODUCTION In order to describe linear viscoelastic properties of polymers one is interested in the relaxation time spectrum h, as it supplies information about the material properties. Moreover given h it is easy to convert one material function into another one. Additionally many microscopic theories are based on h and provide predictions about its character. Unfortunately the relaxation...

This paper presents a new improved genetic multi-objective optimization algorithm for generation dispatch problems aiming to minimize two objectives—cost and emission. The Improved Genetic Algorithm (IGA) equipped with an improved evolutionary direction operator and a migration operation can efficiently search and actively explore solutions. The Multiplier Updating technique is introduced to av...

Due to occurrence of unexpected disruptions,a resilient supply chain design is important. In this paper, a bi-objective model is proposed for designing a resilient supply chain including suppliers, distribution centers (DCs), and retailers under disruption risks.The first objective function minimizes total costs. The second objective function maximizes satisfied demands. We use the augmented e-...