Diagnosis of rotor fault using neuro-fuzzy inference system

The three-phase induction machines (IM) is large importance and are being widely used as electromechanical system device regarding for their robustness, reliability, and simple design with well developed technologies. This work presents a reliable method for diagnosis and detection of rotor broken bars faults in induction machine. The detection faults are based on monitoring of the current signal. Also the calculation of the value of relative energy for each level of signal decomposition using package wavelet, which will be useful as data input of adaptive Neuro-Fuzzy inference system (ANFIS). In this method, fuzzy logic is used to make decisions about the machine state. The adaptive Neuro-Fuzzy inference system is able to identify the IM bearing state with high precision. This technique is applied under the MATLAB®.Keywords: Induction Machine; Diagnosis; Detection; Neuro-Fuzzy inference system

Prosociality in business: a human empowerment framework

This study introduces a human empowerment framework to better understand why some businesses are more socially oriented than others in their policies and activities. Building on Welzel’s theory of emancipation, we argue that human empowerment—comprised of four components: action resources, emancipative values, social movement activity, and civic entitlements—enables, motivates, and entitles individuals to pursue social goals for their businesses. Using a sample of over 15,000 entrepreneurs from 43 countries, we report strong empirical evidence for two ecological effects of the framework components on prosociality. We find that human empowerment (1) lifts entrepreneurs’ willingness to choose a social orientation for their business, and (2) reinforces the gender effect on prosociality in business activity. We discuss the human empowerment framework’s added value in understanding how modernization processes fully leverage the potential of social business activities for societies

The Aristotle Approach to Open Hypermedia

Large-scale distributed hypermedia systems comprise a generation of powerful tools to meet the demands of the new information globalization era. The most promising of such systems have characteristics that allow for the easy adaptation both to an, actually, unpredictable technological evolution and to the constantly evolving information needs of users. Such systems are generally known as Open Hypermedia Systems (OHS). Recently, research effort has been focused on the formulation of a solid set of OHS standards (i.e., protocols, reference models and architectures) that would stem from a common understanding and thus, direct future implementations. Unfortunately, sophisticated hypermedia notions like composite nodes and dynamic linking, still found in older, monolithic hypermedia systems, have been overlooked or roughly portrayed. This paper presents a distributed system architecture implemented on top of a hypermedia model for OHS, which captures notions like these and sets the foundation for straightforward implementations. The proposed hypermedia model comprises a Hypermedia Data Model, which is extensible and fulfils a series of OHS requirements, and a Structural Model, which ensures controlled hyperdocument construction and flexible dynamic linking. Aspects of a prototype hypermedia server (Aristotle), which has been the testbed for this architecture, are discussed