• Proceedings of the KAIS Fall Conference
• /
• 2007.05a
• /
• pp.147-149
• /
• 2007

"Dynamic Neural Unit"(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

• Proceedings of the IEEK Conference
• /
• 2002.07b
• /
• pp.735-738
• /
• 2002

This paper a new simple PWM (Pulse Width Modulation) signal generation based on modified relaxation oscillator is introduced. Its advantages of the proposed principle are that the precise PWM signal can be easily achieved with a high frequency range up to several megahertz and a low-voltage power supply. The proposed circuit can accept either voltage or current modulating signal. It is very suitable for developing into Integrated Circuits (ICs) form in communication applications. The simulation and experimental results are also depicted, they shown good agreement with theoretical anticipation.

• Proceedings of the KAIS Fall Conference
• /
• 2011.05a
• /
• pp.379-381
• /
• 2011

Dynamic Neural Unit(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

• Proceedings of the KAIS Fall Conference
• /
• 2009.05a
• /
• pp.443-445
• /
• 2009

Dynamic Neural Unit"(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

• Proceedings of the KAIS Fall Conference
• /
• 2006.11a
• /
• pp.186-190
• /
• 2006

"Dynamic Neural Unit"(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.1574-1575
• /
• 2007

"Dynamic Neural Unit"(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

• Journal of Practical Engineering Education
• /
• v.10 no.1
• /
• pp.49-56
• /
• 2018

Various types of SW education are being operated by universities for non-major undergraduates. And most of them focus on educating computational thinking. Following this computing education, there is a need for an educational method that implements and evaluates creative computing outcomes for each student. In this paper, we propose a method to realize SW education based on creative computing artifacts. To do this, we propose an educational method for students to implement digital logic circuit devices creatively and design SW algorithms that implement the functions of their devices. The proposed training method teaches a simple LED logic circuit using an Arduino board as an example. Students creatively design and implement two pairs of two input logic circuit devices, and design algorithms that represent patterns of implemented devices in various forms. And they design the functional extension and extended algorithm using the input device. By applying the proposed method, non-major students can gain the concept and necessity of algorithm design through creative computing artifacts.

• Journal of IKEEE
• /
• v.25 no.2
• /
• pp.381-387
• /
• 2021

As Head-Mounted Displays(HMDs), which are mainly used to maximize realism in games and videos, have experienced increased demand and expanded scope of use in education and training, there is growing interest in methods to enhance the performance of conventional HMDs. In this study, a methodology to utilize Carbon NanoTubes(CNTs) to improve the performance of gate drivers that send control signals to each pixel circuit of the HMD is discussed. This paper proposes a new circuit design method that replaces the transistors constituting the buffer part of the conventional gate driver with transistors incorporating CNTs and compare the performance of the suggested gate drive with that of a gate driver comprising only conventional transistors via simulations. According to the simulation results, by including CNTs in the gate driver, the output voltage can be increased by approximately 0.3V compared to the conventional gate driver high voltage(1.1V) at a speed of 12.5 GHz and the gate width also can be reduced by up to 20 times.

• Journal of Korean Medicine for Obesity Research
• /
• v.4 no.1
• /
• pp.95-123
• /
• 2004

Objects: This study was aimed to find out correlation between life style and cardiopulmonary function and body fat. Methods: We divided two groups by the score of behavior modification therapy questionnaire. Westudied tendency of change of cardiopulmonary function and body fat for medication of Mahuang capsule by ergogenic aids and placebo with circuit training. We got the results for Exercise stress test and Segmental Bioelectrical Impedence Analysis. Results: 1. High Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of Lean Body Mass, Body Fat, Waist Circumference and not significantly elevation of Body Weight, But Basal Metabolic Rate was declined. Low Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of Waist Circumference and not significantly elevation of Body Weight and Body Fat, Lean Body Mass but decline of Basal Metabolic Rate, Waist to Hip Ratio 2. High Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of $VO_{2max}$ and not significantly elevation of the rest. Low Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of rest Heart Rate, Diastolic Blood Pressure, and not significantly elevation of the rest except for METs Conclusion: High score group in Behavior Modification Therapy Questionnaire showed significantly elevation of body composition, but had no relationship with Cardiopulmonary function

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.40 no.3
• /
• pp.147-157
• /
• 2022

Recently, many studies have been conducted to analyze traffic or object recognition that classifies vehicles through artificial intelligence-based prediction models using CCTV (Closed Circuit TeleVision)or drone images. In order to develop an object recognition deep learning model for accurate traffic estimation, systematic data construction is required, and related standardized guidelines are insufficient. In this study, previous studies were analyzed to derive guidelines for establishing artificial intelligence-based training data for traffic estimation using drone images, and business reports or training data for artificial intelligence and quality management guidelines were referenced. The guidelines for data construction are divided into data acquisition, preprocessing, and validation, and guidelines for notice and evaluation index for each item are presented. The guidelines for data construction aims to provide assistance in the development of a robust and generalized artificial intelligence model in analyzing the estimation of road traffic based on drone image artificial intelligence.