2010, Vol.5, No.1

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

The analysis of the scattering wave fields by a two corner of imperfect conductor surfaces is computed. The arbitrary impedance surfaces, the corner angle are considered for the computation of the diffraction coefficients. the first, The diffraction coefficients for the first, second and third diffraction wave at the corner are derived. The approximation for the second-order and third-order diffracted fields has done using the extended spectral ray method and the modified Pauli-Clemmow method of the steepest descent. The Maliuzhinets function which is very difficult to obtain accurate value is approximated by the Volakis's asymptotic expression. Numerical computations are performed for the various corner angles and surface impedence values. Finally, computed results are examined and discussed.

Recently automotive industry is working on a new research using IT technologies. Because of tracing locations of things and grasping with sensors inside the vehicle, Unmanned Vehicle System has a narrow view of things. Also cars will cost more. To solve these problems, engineers should be propelling new car technologies development using IT technologies. Therefore, we in this paper tested an Auto-parking system using IEEE 802.11a. The test was designed to consider parking environment. Also we developed a transmission program for control command of car. In this paper we were to research on the vehicle based IT convergence technology.

This paper proposes a new point rendering algorithm using CUDA. We can directly render 3D point data obtained from scanning system without the reconstruction step of a triangular mesh from them. Because a point data set has no topological information like an adjacent information of a triangular mesh, we should search it for close neighbor points of each point and then render it using 2D rectangular or elliptical splats whose size can cover the hole between points. Especially we use CUDA for point rendering algorithm in order to improve computation speed through parallel processing in GPU.