Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

A New Hybrid Chaotic Map-Based Image Steganography Using Spectral Graph Wavelet

Abstract: This paper proposes a new hybrid chaotic map-based image steganography using spectral graph wavelet (SGWT). A new hybrid chaotic map method is proposed using the composition of two existing chaotic maps: Hénon map and Duffing map. Using the proposed hybrid chaotic map, the secret image is scrambled. The SGWT transform using graph signal processing (GSP) is performed on cover and secret image, where each image is generated as a 2D grid graph and each pixel is displayed as a vertex of a graph. To hide the secret image in a cover image, the alpha blending operation is performed. Furthermore, the inverse graph wavelet is applied to bring forth the stego image. The experimental analysis and outcomes show that the suggested technique gives improved PSNR and NCC.

Study of discontinuous sliding mode observers for unmanned aircraft system

Abstract: Identification, observation and control of systems under uncertainties/perturbations is a major research topic in modern control engineering. In a control system where no measurement noise or no uncertainties are present, continuous observers are able to converge asymptotically to the actual state. If uncertainties are present, they do not converge. To achieve exact and finite time convergence in the presence of uncertainties we design discontinuous sliding mode observers. In this paper four types of observers are discussed for unmanned aircraft system namely linear observer (LO), sliding mode observer (SMO), super twisting observer (STO) and generalized super twisting observer (GSTO).

Prediction of Modulus of Subgrade Reaction Using Machine Language Framework

Abstract: The modulus of subgrade reaction test is also known as \({k}_{s}\) value test, and it is essentially a plate bearing test. This test is generally used in the design of rigid pavements and raft foundations. In the present research work, the modulus of subgrade reaction has been predicted by an artificial neural network and principle component analysis. For the prediction of \({k}_{s}\) value, the neural network (NN) models of the different number of hidden layers and nodes have been developed in MATLAB R2016b. The range of the number of hidden layers has been selected from one to five, and for each hidden layer, the range of the number of nodes has been selected from two to eleven. Based on the training and validation performance of NN models, the best architectural neural network model is selected. In the present work, the neural network model of two hidden layers with eleven nodes on each hidden layer has been selected as the best architectural neural network. The best architectural neural network has been compared with principle component analysis. From the comparison, it has been concluded that the principle component analysis has predicted modulus of subgrade (\({k}_{s}\) value) with 86.4% accuracy, which is ≈1.11 (1.105) times less than the accuracy of the neural network model.

Investigative Study of Anterior Cervical Discectomy and Fusion Surgery Using Finite Element Method

Abstract: The intervertebral disc (IVD) assumes significant part in the typical working of the human spine. Its principal constituent is fibrocartilage which assists it with functioning as a chief joint between two vertebrae in the human spine. Cervical spine intervertebral disc (IVD) problem is a typical condition portrayed by the breakdown or thinning of IVD causing pain in the back on neck and sometimes in the arms. The primary objective of a muscular specialist is to fix and re-establish the excruciating or harmed joint so ordinary working could be accomplished. Replacement of degraded intervertebral disc in the fusion surgery (also called spondylodesis or spondylosyndesis) with a suitable fusion cage implant is a great challenge for orthopaedic doctors as it may cause adjacent segment loading. Spinal fusion is a technique of joining two or more vertebrae together by some mode of fusion implant. In the present paper, fusion cage model of titanium alloy material which had fairly similar design and dimensions as of commercial Z-Brace dynamic cage had been developed using SOLIDWORKS. Using HYPERMESH 13.1, static finite element analysis was done under the physiological loading conditions of flexion, extension, lateral bending, and axial rotation to evaluate the effects of Z-cage implantation on the adjacent IVD of C3-C4 level as Z-cage was virtually implanted at the C4-C5 level of cervical spine model. Effects were evaluated in the form of von-misses stresses. Range of motion (ROM) of Z-cage implanted C3-C4-C5 cervical spine model has also been assessed through current FEM examination and compared with the ROM of intact C3-C4-C5 cervical spine model. Result shows that Z-cage was proficient to help just flexion, extension, and lateral bending movements because of its spring-like mechanism yet on account of axial rotation it failed to help torsional portability hence gives high contiguous fragment stacking and limited scope of movement.