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현대무용전공 대학생들의 학업생활과 진로설정을 위한 개선방안 탐색: FGI와 중요도 조사를 중심으로
김규진 ( Kim¸ Gyu-jin ) 한국무용교육학회 2021 韓國舞踊敎育學會誌 Vol.32 No.3
In order to provide the basic data for academic life and career setting of college students majoring in dance, this study conducted FGI survey targeting ten 4th grader college students majoring in modern dance, and carried out the importance survey on 7 items drawn to 15 persons from experts group, 40 persons from students group. As a result, the first ranking of expert groups was ‘practically applicable convergence education’ and the first ranking of student group was ‘providing internship program through the cooperation with association, society and dance company, as a result of analyzing FGI and importance survey, we drew the implications such as “Diversification of curriculum for convergence arts education”, “Preparation of exchange system with related institutions for internships”, “Establishment of career information system in terms of university authorities or departments”.
Attack Resilient State Estimation by Sensor Output Coding
Gyujin Na,Jaegeun Park,Yongsoon Eun 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Designing control systems with a level of resilience against malicious attack has become an important problem because a number of attack incidents recently occurred resulted in significant damages. Resilient state estimation refers to a method of correctly estimating plant states in spite of attacks on sensors. The underlying principle for the majority of existing resilient state estimation methods is to take advantage of redundancies in sensing. More specifically, in order to tolerate (i.e., correctly estimate the plant states) attacks on up to q sensors, the plant must satisfy 2q-redundant observability. In this work, we propose a sensor output coding based resilient state estimation that tolerates the same level of attacks but requires the plant to satisfy a relaxed condition of q-redundant observability. The coding based mechanism identifies the attacked sensors and invokes a state estimator that uses only intact sensors. This enables a correct state estimation even if more than half the sensors are corrupted, which is not possible in most existing works. To demonstrate the effectiveness of the proposed method, simulation results are presented.
Effect of Silver Nanoparticles with Indium Tin Oxide Thin Layers on Silicon Solar Cells
Gyujin Oh,Eun Kyu Kim 한국진공학회(ASCT) 2017 Applied Science and Convergence Technology Vol.26 No.4
AThe effect of localized surface plasmon on silicon substrates was studied using silver nanoparticles. The nanoparticles were formed by self-arrangement through the surface energy using rapid thermal annealing (RTA) technique after the thin nanolayer of silver was deposited by thermal evaporation. By the theoretical calculation based on Mie scattering and dielectric function of air, indium tin oxide (ITO), and silver, the strong peak of scattering cross section of silver nanoparticles was found at 358 nm for air, and 460 nm for ITO, respectively. Accordingly, the strong suppression of reflectance under the condition of induced light of 30° occurred at the specific wavelength which is almost in accordance with peak of scattering cross section. When the external quantum efficiency was measured using silicon solar cells with silver nanoparticles, there was small enhancement peak near the 460 nm wavelength in which the light was resonated between silver nanoparticles and ITO.
Actuator Fault Detection for Unmanned Ground Vehicles using Unknown Input Observers
Gyujin Na,Yongsoon Eun 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
This paper proposes an actuator fault detection method for four wheel unmanned ground vehicle (UGV) dynamics. The detection method is based on unknown input observers. Technical novelty of current work compared to similar work in the literature is that wheel frictions are directly taken into account in the dynamics of UGV, and unknown input observers are developed accordingly. The vehicle dynamics is represented into linear parameter varying system and an actuator fault detection method is derived using unknown input observers for linear parameter varying (LPV) systems. The effectiveness of proposed method is evaluated under various operation scenarios of the UGV.
Estimation of Crowd Density in Public Areas Based on Neural Network
( Gyujin Kim ),( Taeki An ),( Moonhyun Kim ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.9
There are nowadays strong demands for intelligent surveillance systems, which can infer or understand more complex behavior. The application of crowd density estimation methods could lead to a better understanding of crowd behavior, improved design of the built environment, and increased pedestrian safety. In this paper, we propose a new crowd density estimation method, which aims at estimating not only a moving crowd, but also a stationary crowd, using images captured from surveillance cameras situated in various public locations. The crowd density of the moving people is measured, based on the moving area during a specified time period. The moving area is defined as the area where the magnitude of the accumulated optical flow exceeds a predefined threshold. In contrast, the stationary crowd density is estimated from the coarseness of textures, under the assumption that each person can be regarded as a textural unit. A multilayer neural network is designed, to classify crowd density levels into 5 classes. Finally, the proposed method is experimented with PETS 2009 and the platform of Gangnam subway station image sequences.
( Gyujin Jang ),( Hak-jin Kim ) 한국농업기계학회 2023 한국농업기계학회 학술발표논문집 Vol.28 No.2
Remote sensing techniques can play an useful role in precision agriculture and phenotyping with the advantage of easy and speedy high-throughput data collection capability. Repeatably collected crop data in time series can provide the opportunities for more efficient phenotyping. In this regard, remotes sensing using unmanned aerial vehicles (UAVs) can be a helpful tool in crop monitoring with high resolution of space and time compared to satellites and airplanes. This study investigated the growth dynamics of hot pepper (Capsicum Annuum) using multi sensor imagery based UAV. RGB, multispectral and thermal sensors were installed on an UAV and multi-sensor images were collected five times on an nearly 2-week-interval. Plant height, common vegetation indices and crop temperature was extracted from the multi-sensor. Extracted data were considered ones of the features representing their growth dynamics. In a field, about 500 hot-peppers were cultivated based on a rainfed practice without additional water supply and others were cultivated using an autonomous irrigation management system. Two growth curves of the extracted features in time-series were generated from crop individuals with the upper 25% and the lower 25% of the end-of-yield, respectively. Through this study, various features from the multi-sensor mounted on the UAV were analyzed to see whether they can be used as an index of showing the growth status of hot peppers for use in a phenotyping study.
Active Probing Signal-Based Attack Detection Method for Autonomous Vehicular Systems
Gyujin Na,Yongsoon Eun 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10
This paper addresses an active probing signal-based attack detection method for autonomous vehicular systems. Employing active probing signals for attack detection may become a common method for detecting replay attacks performed using prerecorded sensor data. Conventional replay attack detection methods usually operate by injecting active probing signals into the control inputs and simultaneously checking whether the effect appears on the output signals. When active probing signals are used in vehicular systems, they may change the vehicle acceleration and steering angle. The tracking performance can degrade; inspired by this issue, we develop an attack detection method employing disturbance observers. The attack detection method compensates for the effect of active probing signals and detects malicious attacks, including replay attacks. To validate the effectiveness of the proposed method, several simulations are carried out.