Many countries have multiple critical infrastructures that are potentially vulnerable to deliberate attacks by terrorists or other intelligent adversaries. determining how best to protect these and other critical infrastructures against intelligent attacks has become a topic of great concern. Researchers and practitioners have attempted a variety of approaches for dealing with this issue. One m...

Hongbo Lan, Chengrui Zhang, Riliang Liu School of Mechanical Engineering, Shandong University, Jinan, 250061, China School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China Abstract This paper presents a conceptual framework of STEP-NP controller to implement intelligent control for CNC machine tool. This framework is developed based on the concept of multi-agent system...

Nowadays one can witness the increase of the world population carrying some kind of physical disability, affecting locomotion. With the objective of responding to numerous mobility problems, various intelligent wheelchair related projects have been created in the last years. The development of an Intelligent Wheelchair requires a lot of testing due to the complexity of the algorithms used and t...

a new intelligent photovoltaic (PV) panel structure to extract the maximum power in mismatch irradiance is proposed. In conventional structures, difference of irradiance between series panels can cause the deviation of maximum power point. In this condition tracking MPP becomes difficult and reduces efficiency. Improvements in power electronics and its effects in PV industrial technology, devel...

Introduction: Diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. Due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. Therefore, the patient might be irritated. So, an intelligent method for quick and accurate diagnosis would be crucial. Intelligent sys...

In this paper we suggest an approach for developing programmable intelligent virtual agents over Unreal. We propose various techniques for manipulating creating and modifying Unreal Engine’s actors, as well as a method for developing an additional external controller responsible for intelligent decision making by creating programmable agents. Key-Words: Virtual Agents, Virtual Environments, Tas...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...

This paper describes a proposal for the creation of a UML profile oriented to the intelligent tutoring systems project. In this paper we shall describe the proposed profile as well as its application into the modeling of the AMEA intelligent tutoring system.