• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.520-520
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• 2000

In this paper, it used a soccer robot which needs the important Held of robot technology as the wheel type mobile robot. With the soccer robot, as for the especially important one, "strategy" "the orbit control of the robot", and "the efficiency of the robot" is given. Therefore, it paid attention to " the orbit control of the robot " and it controlled an orbit of the soccer robot using the PID control. the soccer robot using the PID control.

• Korean journal of applied entomology
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• v.10 no.1
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• pp.49-53
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• 1971

The only record of spider's from Cholla Namdo was made by T. Kambe in 1953. They were collected from Mokpo area which is located south-west coast of Cholla Namdo and included 24 species belonging to 8 families. In this paper are given for the first time a iist of spiders from Kwangju City, inland of Cholla Namdo. wis located at the center of Cholla Namdo. More than 5,000 individual spiders were collected by one of the junior author, J.K. Yoon during autumn in 1570. In spite ef rather large number of spiders were collected, collecting season and the locality are restricted, number of species was reiatit·ely small and many young spiders were undeterminable, A total of 50 species belong to 15 families, including 5 unrecorded species from Korea, were identified. Unrecorded species were as follows: Uloborus yesoensis $(S_{AITO},\;1934)$ Pirate piraticus $(C_{LERCK},\;, 1757)$ Stemmops sp. Trochosa ruricola$(D_E\; G_{EER},\; 1778)$ Erigone koshiensis $O_r$, 1960

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.9-15
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• 2021

With the recent development of 5G and artificial intelligence technologies, it is interested in AIOT technology to collect, process, and analyze information in cloud edge environments. AIIoT technology is being applied to various smart environments, but research is needed to perform fast response processing through accurate analysis of collected information. In this paper, we propose a technique to minimize bandwidth and processing time by blocking the connection processing between AIOT information through fast processing and accurate analysis/forecasting of information collected in the smart environment. The proposed technique generates seeds for data indexes on AIOT devices by multipointing information collected by blockchain, and blocks them along with collection information to deliver them to the data center. At this time, we deploy Deep Neural Network (DNN) models between cloud and AIOT devices to reduce network overhead. Furthermore, server/data centers have improved the accuracy of inaccurate AIIoT information through the analysis and predicted results delivered to minimize latency. Furthermore, the proposed technique minimizes data latency by allowing it to be partitioned into a layered multilayer network because it groups it into blockchain by applying weights to AIOT information.