-22b9b34417bc6092a74-2318 20211126020210428 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2021 10 4 10.35940/ijrte.10.4 https://www.ijrte.org/download/volume-10-issue-4/ Assistant Professor, Department of Architecture, School of Planning and Architecture, University of Mysore (Karnataka) India.. Ar. Uma S.M Dr. B. Shankar Reader Urban and Regional Planning, Institute of Development Studies, University of Mysore (Karnataka) India. Aparna Agaram Krishnan Bachelor Architecture School of Planning and Architecture, University of Mysore (Karnataka) India. Toys are objects made for a child to play with and explore their surroundings. Toys aid in the physical, emotional, cognitive and social development of children. Channapatna toys are soft-wood toys that are made in Channapatna, about 60 km southwest of Bangalore. The toys are eco-friendly, non-toxic and child safe and have been recognized as GI tagged commodities. Artisans majorly acquire the skills from their families who are into toy making since generations, or from a master craftsmen who acts as a head of a group of artisans. It is a craft that is passed on from generation to generation. The toys are also exported and have buyers in an international market. In this research paper, the process of traditional toy making, raw materials required, and methods have been studied in detail, along with the challenges faced by artisans. The artisans engaged in the craft form are mostly dependent on middle-men, and are unaware of benefits and facilities that are available. The paper briefly outlines possible architectural interventions that can improve the working conditions of artisans, and preserve the traditional craft form. 11 30 2021 191 195 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6492.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/C64920910321.pdf Assistant Professor, Department of Computer Science and Engineering, S. G. Balekundri Institute of Technology, Belagavi (Karnataka), India. Dr. Shivanand Pujar Ms. Kangana W.M Assistant Professor, Department of Computer Science and Engineering, S. G. Balekundri Institute of Technology, Belagavi (Karnataka), India. Ms. Chitrashree Kurtkoti Assistant Professor, Department of Computer Science and Engineering, S. G. Balekundri Institute of Technology, Belagavi (Karnataka), India. Abhinandan P. Mangaonkar Assistant Professor, Department of Computer Science and Engineering, S. G. Balekundri Institute of Technology, Belagavi (Karnataka), India. Mr. Jagadish S. Jakati Assistant Professor, Department of Electronics and Communication Engineering, SGBIT, Belagavi, (Karnataka), India Digital Image Watermarking plays an important role when it comes to maintaining digital color picture authentication information. The proposed paper consists mainly of a digital watermarking scheme consisting of discrete wavelet transformation and involving the generation of pn sequence number to embed the watermark and also to extract the watermark from the host image. The technique suggested includes both embedding the watermark and removing it from the host file. Both the method of embedding and extraction consists of generating the pn sequence number values using the random numbers. The technique for all three of the RGB signal sources is included. The watermark symbol is located independently within the RGB image's red, green, and blue channels. The suggested technique further reveals the improved mode of digital watermarking of images through fragile watermarking of images and semi-fragile digital watermarking of images. 11 30 2021 196 212 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6612.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66121110421.pdf Assistant Professor, Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, (Andhra Pradesh). India. Dr. K. Rama Devi M. Nani Student, M. Tech, Jawaharlal Nehru Technological University, Kakinada, (Andhra Pradesh). India. There has been increasing demand for accessible radio spectrum with the rapid development of mobile wireless devices and applications. For example, a GHz of spectrum is needed for fifth-generation (5G) cellular communication, but the avail- able spectrum below 6 GHz cannot meet such requirements. Fortunately, spectrum at higher frequencies, in particular, millimeter-wave bands, can be utilized through phased-array analog beamforming to provide access to large amounts of spectrum. However, the gain provided by a phased array is frequency dependent in the wideband system, an effect called beam squint. We examine the nature of beam squint and develop convenient models with a uniform linear array. To further simplify the evaluation of the system performance, an approximated closed-form expression for the array gain is derived. Furthermore, to evaluate the performance of the proposed design, rigorous numerical results concerning different system parameters are provided in this paper. 11 30 2021 213 217 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6619.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66191110421.pdf PhD Fellow, Department of Civil Engineering, Rajasthan Technical University, Kota (Rajasthan) India. Jitendra Khatti Dr. Kamaldeep Singh Grover Professor, Department of Civil Engineering, Rajasthan Technical University, Kota (Rajasthan) India The present research work is carried out to predict the geotechnical properties (consistency limits, OMC, and MDD) of soil using AI technologies, namely regression analysis (RA), support vector machine (SVM), Gaussian process regression (GPR), artificial neural networks (ANNs), and relevance vector machine (RVM). The models of machine learning (SVM, GPR), hybrid learning (RVM), and deep learning (ANNs) are constructed in MATLAB R2020a with different configurations. The models of RA are built using the Data Analysis Tool of Microsoft Excel 2019. The input parameters of AI models are gravel, sand, silt, and clay content. The correlation coefficient is calculated for pair of soil datasets. The correlation shows that sand, silt, and clay content play a vital role in predicting soil's liquid limit and plasticity index. The performance of constructed AI models is compared to determine the optimum performance models. The limited datasets of soil are used in this study. Therefore, artificial neural networks and relevance vector machines could not perform well. Based on the performance of AI models, the Gaussian process regression outperformed the RA, SVM, ANNs, and RVM AI technologies. Hence, the GPR AI approach can predict the geotechnical properties of soil by gravel, sand, silt, and clay content. The Monte-Carlo global sensitivity analysis is also performed, and it is observed that the prediction of geotechnical properties of soil is affected by sand and clay content 11 30 2021 218 227 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6625.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66251110421.pdf Department of Electrical Power and Control Engineering, Hanbat National University, South Korea . Prof. Dong Hwa Kim This paper deals with dynamic decoupling and its intelligent PID control method of multivariable qua-drone. Up to this time, many sophisticated intelligent algorithms and control methods for drone systems have been mentioned. However, almost many cases have been focusing on single loop control methods and general multivariable systems. Therefore, we cannot guarantee its stability and optimal response by PID control used in multivariable qua-drone. Herein, this paper suggests a novel control method for PID control for multivariable qua-drone. As first step, this paper decouples dynamic of multivariable qua-drone using diagonal method of system matrix and then applies intelligent method PSO and GA to single loop obtained by decoupling method to obtain optimal response. 11 30 2021 228 240 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6627.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66271110421.pdf