Artificial Intelligence models (AI) which computerize human reasoning has found a challenging test bed for various paradigms in many areas including financial time series prediction. Extensive researches have resulted in numerous financial applications using AI models. Since stock investment is a major investment activity, Lack of accurate information and comprehensive knowledge would result in...

Source localization from MEG data in real time requires algorithms which are robust, fully automatic, and very fast. We present two neural network systems which are able to localize a single dipole to reasonable accuracy within a fraction of a millisecond, even when the signals are contaminated by considerable noise. The first network is a multilayer perceptron (MLP) which takes the sensor meas...

This document does not contain technology or technical data controlled under either the U.S. International Traffic in Arms Regulations or the U.S. Export Administration Regulations. With the development and widespread use of wireless devices in recent years (mobile phones, Internet of Things, Wi-Fi), the electromagnetic spectrum has become extremely crowded. In order to counter security threats...

The flux and torque of switched reluctance motor (SRM) have a highly nonlinear functional relationship with rotor position and phase current, as a consequence of the double-salient structure of the stator and rotor pole and highly magnetic saturation, which is difficult to build an accurate analytic model. In order to achieve the SRM high-performance control, it is necessary to build an accurat...

Indoor localization algorithms based on the received signal strength indicator (RSSI) in wireless sensor networks (WSNs) have higher accuracy than other range-free methods. This paper considers indoor multilateration and averaged (RSSI). We propose an approach called weighted three minimum distances method (WTM) to deal with poor of deduced from RSSI. Using a practical system, experimental chan...

the aim of the present paper is to define and study (ic)$lm$-fuzzytopological spaces, a generalization of (weakly) induced $lm$-fuzzytopological spaces. we discuss the basic properties of(ic)$lm$-fuzzy topological spaces, and introduce the notions ofinterior (ic)-fication and exterior (ic)-fication of $lm$-fuzzytopologies and prove that {bf iclm-ftop} (the category of(ic)$lm$-fuzzy topological ...

The role of a power transformer is to convert the electrical level and send it consumer, making an essential component system. In addition, asset management for monitoring functioning transformers in system prevent failure anticipating health state transformers, using technique known as index (HI). However, calculation computation determine HI based on scoring ranking complex required expert va...

The Wireless Sensor Network needs to become a dynamic and adaptive network conserve energy stored in the wireless sensor node battery. This sometimes are called SON (Self Organizing Network). Several concepts have been developed such as routing, clustering, intrusion detection, other. Although several already exist, however, there is no concept for radio configuration. Therefore, authors’ contr...

In the last decades, Italian road transport system has been characterized by severe and consistent traffic congestion in particular Rome is one of cities most affected this problem. study, a Levenberg-Marquardt (LM) artificial neural network heuristic model was used to predict flow non-autonomous vehicles. Traffic datasets were collected using both inductive loop detectors video cameras as acqu...

Network and system security is of vital importance in the present data communication environment. Hackers and intruders can create many successful attempts to cause the crash of the networks and web services by unauthorized intrusion. New threats and associated solutions to prevent these threats are emerging together with the secured system evolution. Intrusion Detection Systems (IDS) are one o...