• Journal of Elementary Mathematics Education in Korea
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• v.18 no.3
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• pp.379-397
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• 2014

According to Kant, time is integral to all human cognitive experiences. Human beings perceive things in the frame of time. Phenomena are perceived in successive way or in coexistent way. In this paper, I argue that the perspective of temporality and atemporality can be a framework to consider the issues of teaching and understanding of mathematical knowledge. Significance of temporal inquiry of atemporal phenomena is discussed with examples of mathematical expressions and geometric figures. Significance of atemporal inquiry of temporal phenomena is also discussed with examples of the sum of natural numbers, geometric pattern, and the probability of two events. Teachers should understand the potential of mathematical tasks from the perspective of temporality and atemporality and provide students with opportunities to inquire temporal phenomena atemporally and atemporal phenomena temporally.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.99-113
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• 2020

In the future, robots and drones for the convenience of our lives in everyday life will increase. As a method for controlling this, a remote control or a human voice method is most commonly used. However, the remote control needs to be operated by a person and can not ignore ambient noise in the case of voice. In this paper, we propose an economical attitude information acquisition method to accurately acquire the posture information of the arm in real time under the assumption that the surround drones or robots can be controlled wirelessly with the posture information of the arm. For this purpose, the extended Kalman filter was used to eliminate the noise of the arm position information. in order to detect the arm movement, a low cost MEMS type sensor was applied to secure the economical efficiency of the apparatus. To increase the wear ability of the arm, We developed a compact and lightweight attitude information acquisition system by integrating all functions into one chip as much as possible. As a result, the real-time performance of 1 ms was secured and the extended Kalman filter was applied to acquire the accurate attitude information of the arm with noise removed and display the attitude information of the arm in real time. This provides a basis for generating commands using real-time attitude information of the arm.