Elitte Institute of Engineering and Management

Neuro-Fuzzy systems have been around for the last 35 years and have been applied in various fields. For, being a hybrid intelligent system, it integrates the best of the both. It combines the learning capability of an Artificial Neural Network and the human like reasoning of Fuzzy Logic. The primary goal is to achieve maximum efficiency by making a Fuzzy System capable of learning. There are various functions like Knowledge Presentation, Learning and Adaptation, Prediction, Decision making under uncertainty etc. which are implementations of an NFS. Deep neural networks have made a lot of progress in the recent years. As a continuation, DNFS or Deep Neuro Fuzzy System has emerged as a field of research. Various fields like computing, healthcare, finance, transportation etc. have become the application domains of DNFS. This paper focuses on the current challenges faced in the research and implementation of DNFS and its future.

A circularly polarized and compact dual-band antenna with an inverted F-shaped structure is proposed in this paper. The designed antenna covers an area of size 60 × 60 mm2 and its substrate thickness is 1 mm, made up of FR4 epoxy substrate. Initially, an L-shaped patch is designed and by further modification, the patch turns around to be an F-shaped patch. Then by introducing two rectangular slots of different sizes at the opposite corners of the ground plane, the 3 dB axial ratio is achieved. Though, having a simple designed structure, it gives a good agreement towards the realization of circular polarization. The simulated results show that the impedance bandwidth covers a frequency range of 5.1 to 7 GHz (31.4 %) and 7.5 to 11.1 GHz (38.7 %) whereas the axial ratio ranges from 5.3 to 6.8 GHz (24.8 %) and 7.8 to 10.8 GHz (32.3 %) in the lower and upper band frequency respectively. The proposed antenna is designed and fabricated which operates in the UWB range.

Propagation-invariant and structurally-stable beams have attracted the attention of research communities for their distinct appearances and angular momentum contents, as well as their unique applications. These special kind of beams are mostly descripted by various forms of wave equation. However, the recently described fractional wave equation and fractional Schrodinger equation have added a new aspect to these beams, and supports the idea of Coordinate Axicons—the axicons that follows the shapes of corresponding coordinate system and able to produce quasi-propagation-invariant beams at far field. In this present communication we therefore revisit the theoretical aspects of such beams giving special thrust to the Coordinate Axicon concept.

During a crisis event, remote monitoring of the floor plan, devices, and crowd in an indoor public space is essential. To tackle such a situation it is imminent for the emergency service providers or the organization to gain real-time information of the floor map and the position(s) of the crowd affected by the crisis. In this paper, we intend to provide a framework for supporting smart emergency management for indoor space that constitutes of two parts- (i) remotely localizing the crowd on a near real-time basis and (ii) disseminating this information in a navigation-friendly manner to the emergency responders. A machine learning-based model trained on gathered WiFi Received Signal Strength(RSS) forms the basis of the positioning mechanism opted for our approach. A 3D visualization on a Virtual Reality(VR) platform is amalgamated at the application level to map the actual physical location(s) of the crowd to the virtual coordinate that will be displayed to the emergency responders.

Composite materials assume a significant part in auto, aviation, marine, and defense applications due to its unique properties. Aluminum alloys have certain advantages over other alloys. In this paper, the composite material comprised of Aluminum Alloy LM6 and fly ash (150 – 175 μm) has been picked as lattice and supporting materials individually. Magnesium is added to lessen the surface pressure and evade the dismissal of the particles from the melts. Liquid state processing through stir casting procedure was adopted for fabrication of mmc into necessary shape and size according to the ASTM principles by energetically mixing at consistent speed and time. The fly ash with various syntheses (2%, 4%, 6%) were added with LM6 combination. XRD and EDAX were used to examine the structural analysis of MMC, and optical microscopy and SEM were used to investigate the microstructure on MMC. Wear test was also carried out on MMC to ascertain the wear rate and cof of different MMCs. There is substantial improvement of mechanical properties like tensile strength, micro hardness, and density of the composite.