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Hip Adducted Gait Posture Correction in Patients with Cerebral Palsy using Cable-Driven Mechanism
Seongyun Cho(조성윤),Kun-Do Lee(이건도),Hyung-Soon Park(박형순) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
Cerebral palsy (CP) is main cause of permanent postural and motor abnormalities due to damage to the immature brain of patients in childhood. Patients with cerebral palsy mostly show abnormal gait postures on the sagittal or frontal plane, such as crouch gait or in-toeing, respectively, so they should learn walking with rehabilitation intervention. In this study, we designed a rehabilitation system using a cable connected to each lower limb of the children with cerebral palsy perpendicular to the sagittal plane to correct abnormal gait posture shown on the frontal plane. The system consisted of an actuator and an inelastic cable, a load cell, and a spring for each leg, and used the fuzzy gain scheduled PID feedback control algorithm to control the cable tension. The designed device used cable-driven mechanism with minimal number of cables and controlled the magnitude and direction of cable tension by tracking knee position of participants. We expect less restriction of voluntary drive of participants with single cable that maintains perpendicular direction to the sagittal plane during gait compared to existing rehabilitation intervention using a cable-driven mechanism. Additional studies will investigate the effectiveness of our designed system to gait posture correction of children with CP who show abnormal gait posture shown on the frontal plane.
뇌성마비 아동 보행의 광학 모션 캡쳐 중 누락 마커 실시간 예측 알고리즘
김지훈(Jihoon Kim),조성윤(Seongyun Cho),박형순(Hyung-Soon Park) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
This study presents an algorithm for predicting the missing markers during optical motion capture in gaits of children with cerebral palsy. The typical prediction algorithms were for post-processing using interpolation, but this method can predict in real-time through extrapolation calculation. In the previous studies about real-time marker position prediction, they were used for healthy participants who can provide various attached markers or a numerous captured gait data. Alternatively this method uses only the previous positions of each attached marker so that can be used for children with cerebral palsy, who have abnormal gait postures and relatively few attached markers. The proposed algorithm can predict the position of the markers in case of not only the occlusion but also the occurrence of measurement noise, and can be tuned the appropriate parameters according to the gait speed of participants and the performance of the optical motion capture system.
오픈소스 취약점 점검 도구 및 종합 보안 메트릭 설계를 통한 DevSecOps 구축방안 연구
최영해(Yeonghae Choi),노형준(Hyeongjun Noh),조성윤(Seongyun Cho),강한승(Hanseong Kang),김동완(Dongwan Kim),박수현(Suhyun Park),조민재(Minjae Cho),이주형(Juhyung Lee) 한국정보보호학회 2023 정보보호학회논문지 Vol.33 No.4
DevSecOps는 DevOps의 짧은 개발과 운용주기에 대응하기 위해 DevOps의 운용절차에 보안절차를 추가한 개념이다. DevSecOps 구축 시 빠른 개발 및 배포 주기를 지원하면서 안정적으로 보안성을 제공하기 위해 여러 단계의 취약점 점검 절차가 고려되어야 한다. 각 점검 단계별 활용 가능한 여러 오픈소스 취약점 점검 도구들이 존재하고 있으나 도구들이 지원하는 기능이 다양하고 점검결과들이 상이해 통합 운용 시 보안성 수준 평가 및 정보의 중요도 파악에 어려움이 있다. 본 논문은 오픈소스를 활용한 DevSecOps 구축 시에 보안점검 단계별 활용 가능한 오픈소스 취약점 점검 도구의 조합과 점검결과에 대한 통합적인 보안메트릭 설계방안을 제안한다. DevSecOps is a concept that adds security procedures to the operational procedures of DevOps to respond to the short development and operation cycle. Multi-step vulnerability scanning process should be considered to provide reliable security while supporting rapid development and deployment cycle in DevSecOps. Many open-source vulnerability scanning tools available can be used for each stage of scanning, but there are difficulties in evaluating the security level and identifying the importance of information in integrated operation due to the various functions supported by the tools and different security results. This paper proposes an integrated security metric design plan for scurity results and the combination of open-source scanning tools that can be used in security stage when building the open-source based DevSecOps system.
Chaotic FIR Laser Attractor Modelling Prediction using Rational Function Neural Network
Cho, Seongyun 안양대학교 산업기술연구소 2001 自然科學硏究 Vol.8 No.-
Many real-world systems such as irregular ECG signal, volatility of currency exchange rate and heated fluid reaction exhibit highly complex nonlinear characteristic known as chaos. These chaotic systems cannot be retreated satisfactorily using linear system theory due to its high dimensionality and irregularity. This research focuses on prediction and modelling of chaotic FIR (Far InfraRed) laser system for which the underlying equations are not given. This paper proposed a method for prediction and modelling a chaotic FIR laser time series using rational function neural network. Three network architectures. TDNN (Time Delayed Neural Network), RBF (Radial Basis Function) network and the RF (Rational Function) network, are also presented. Comparisons between these networks performance show the improvements introduced by the RF network in terms of a decrement in network complexity and better ability of predictability.