19c96fd517d854497e8-63d3 20211224043056501 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/ 01 30 2022 10 5 10.35940/ijrte.10.5 https://www.ijrte.org/download/volume-10-issue-5/ Department of Physics, Raghuveer Singh Government Degree College, Lalitpur (U.P), India. Keshav Dev Swasti Saxena Department of Applied Physics, Sardar Vallabhbhai National Institute of Technology, Surat (Gujarat), India. Ankit K Srivastava School of Science, Indrashil University, Mehsana, Gandhinagar (Gujarat), India. B.S Bhadoria Department of Physics, Bundelkhand University, Jhansi (Uttar Pradesh), India. Suneel Kumar Department of Chemistry, Lohia Government College, Churu, (Rajasthan), India. We Study the doping of various metallic 3d transition metal (TM) atoms like iron (Fe), Cobalt (Co), Copper (Cu) and Nickel (Ni) on monolayer of the borophene and graphene. These 2D layers show energy dispersion and metalloid properties because its band gap is very less or near to zero. We explored borophene is semi-metallic with the titled Dirac cone and graphene is semi metallic whose conduction and valence bands meets at Dirac cone. We analyzed the adsorption of 3d transition metal (TM) on the 2D layers through density functional theory (DFT) based calculations. In this paper, we observed the most suitable and acceptable adsorption site for each adatom, and calculated the binding energy per atom, density of states and magnetic moment of resulting borophene and graphene-adatom system. Here, we find that Nickel (Ni) is perfect as electron doping and iron (Fe) is the most effective for magnetically doped borophene. In the case of graphene we find that Co is most suitable for magnetically doping and Cu is best for electron doping. 01 30 2022 41 47 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6691.0110522 https://www.ijrte.org/portfolio-item/e66910110522/ Department of Management Information Systems College of Business Administration, Taif University, Saudi Arabia Latifa Alzahrani The COVID-19 pandemic has compelled many educational institutions worldwide to use learning management systems (LMS) to deliver their courses. This study aims to determine the constituents that affect scholars when using LMS for graduation during the pandemic. This research also examines the impact of the students' anxiety level when using the LMS by conducting multiple group analyses with the partial least square's method. The results show a significant influence on the students' anxiety level when using the LMS. Students who have a low level of anxiety exhibited insignificant communication quality regarding the perceived ease of use and perceived usefulness. Meanwhile, students with a high level of anxiety highlight a consequential effect of communication quality in the perceived ease of use and usefulness. Moreover, students with a low level of anxiety displayed significantly high-perceived usefulness, satisfaction, and subject norm when using the LMS. In contrast, students with a high level of anxiety did not display perceived usefulness, satisfaction, or subject norm when using the LMS. As a result of the findings from this research, concrete effects can be provided for educationalists, policymakers, and practitioners, who want to advance functional procedures to enhance the design of the LMS during COVID-19. 01 30 2022 48 56 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6658.0110522 https://www.ijrte.org/portfolio-item/e66580110522/ Assistant Professor, Department of ECE, Sri Vasavi Engineering College, Green Pedatadepalli, Tadepalligudem (A.P), India. B Murali Krishna B.T. Krishna Professor, Department of ECE, University College of Engineering Kakinada, Jawaharlal Nehru Technological University, Vizianagaram, (A.P), India. K Babulu Professor, Department of ECE, University College of Engineering Vizianagaram, Jawaharlal Nehru Technological University, Vizianagaram, (A.P), India. A comparison of linear and quadratic transform implementation on field programmable gate array (FPGA) is presented. Popular linear transform namely Stockwell Transform and Smoothed Pseudo Wigner Ville Distribution (SPWVD) transform from Quadratic transforms is considered for the implementation on FPGA. Both the transforms are coded in Verilog hardware description language (Verilog HDL). Complex calculations of transformation are performed by using CORDIC algorithm. From FPGA family, Spartan-6 is chosen as hardware device to implement. Synthetic chirp signal is taken as input to test the both designed transforms. Summary of hardware resource utilization on Spartan-6 for both the transforms is presented. Finally, it is observed that both the transforms S-Transform and SPWVD are computed with low elapsed time with respect to MATLAB simulation. 01 30 2022 57 60 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6705.0110522 https://www.ijrte.org/portfolio-item/e67050110522/