Abstract With the development of all-optical networks, devices have become a research hotspot in recent years. Two-dimensional materials, represented by graphene and black phosphorus, attracted great interest scientific community due to their excellent optical, electrical, magnetic, mechanical properties. Bridging gap between fiber optics nanotechnology, microfibers can interact with light matt...

in many signal processing applications, an appropriate measure to comparetwo signals plays a fundamental role in both implementing the algorithm andevaluating its performance. several techniques have been introduced in literature assimilarity measures. however, the existing measures are often either impractical forsome applications or they have unsatisfactory results in some other applications....

bci is one of the most intriguing technologies among other hci systems, mostly because of its capability of recording brain activities. spelling bcis, which help paralyzed people to maintain communication, are one of the striking topics in the field of bci. in this scientific a spelling bci system with high transfer rate and accuracy that uses ssvep signals is proposed. in addition, we suggeste...

The standard socio-economic science model (SSSM) assumes very considerable cognitive powers on behalf of its individual agents. Agents are able both to gather a large amount of information and to process this efficiently so that they can carry out maximising behaviour. Criticisms of this approach are widespread, even within the discipline of economics itself. We set up agent based models in whi...

introduction: the human being is part of its surrounding socio-economic framework. he is affected by the environment and actively affects it. ignoring the socio-economic dimensions of health leads to the failure of health promotion programs and widens the inequity in the health status of different groups in the society. the aim of this study is to identify the socio-economic and demographic sta...

The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for n...