http://scholar.dgist.ac.kr:80 The Repository digital repository system captures, stores, indexes, preserves, and distributes digital research material. Fri, 10 Apr 2026 23:49:06 GMT 2026-04-10T23:49:06Z https://scholar.dgist.ac.kr/handle/20.500.11750/60187 Title: Efficient Gesture Recognition Using Simplified and Quantized CNN Architecture Author(s): Kim, Bong-Seok; Kwon, Soon; Kim, Sangdong Abstract: In this paper, we propose an efficient technique through simplification and quantization of the structure of the conventional convolutional neural network (CNN) based model for real-time processing and low-power implementation of UWB radar-based gesture recognition system. Recently, gesture recognition technology has been used in the fields of human-computer interaction (HCI) and smart device control, especially contactless recognition methods using UWB radars are advantageous for privacy protection. Conventional CNN-based gesture recognition models achieved high accuracy, but it was difficult to apply edge devices in terms of model size and amount of computation. In this paper, to overcome this limitation, the number of hidden layers is limited to three and the model is effectively lightened by applying 8-bit quantization based on post-processing. As a result of the experiment, the accuracy of the proposed model recorded 96.87%, which is similar to that of the existing CNN, and the efficiency is confirmed through a significant weight reduction effect in the amount of computation and model size. The proposed model is suitable for a real-time gesture recognition system in edge device and embedded environments. Fri, 31 Oct 2025 15:00:00 GMT https://scholar.dgist.ac.kr/handle/20.500.11750/60187 2025-10-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60180 Title: Long Short-Term Memory Network-Based H∞ Synchronization Control and Anomaly Detection for Cyber-Physical Systems Author(s): Kwon, Hyoeun; Lee, Suwoong; Kwon, Wookyong; Lim, Yongseob; Jin, Yongsik Abstract: In the synchronization of cyber-physical systems (CPSs), modeling the nonlinear dynamics of physical plants is a challenging task. To address this challenge, we propose a novel H∞ controller design method that leverages a data-driven approach to robustly synchronize CPSs and ensure their stability. In the proposed approach, the input-output relationship of the physical system is learned using long short-term memory (LSTM) networks to approximate the unknown dynamics of CPSs. Furthermore, we exploit an effective control scheme for trained LSTM networks to effectively handle the nonlinearity of activation functions. To ensure stability and performance in the convergence of synchronization error, a controller design criterion is derived for the trained LSTM network in terms of linear matrix inequalities, and the controller gain is computed using convex optimization techniques. In addition, we present an anomaly detection algorithm using the proposed method, which can synchronize CPSs and detect abnormal signals without requiring any prior physical model information. Consequently, the stability of the synchronization control system can be ensured, enabling its application to anomaly detection. Finally, the effectiveness of the proposed method is validated through an experiment on a motor control system even in abnormal operating conditions. Mon, 06 Oct 2025 15:00:00 GMT https://scholar.dgist.ac.kr/handle/20.500.11750/60180 2025-10-06T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60160 Title: 이차전지용 전해질 및 이를 포함하는 이차전지 Author(s): 양창의; 강석범; 이호춘 https://scholar.dgist.ac.kr/handle/20.500.11750/60160 https://scholar.dgist.ac.kr/handle/20.500.11750/60159 Title: 4전극 시스템 및 이를 이용한 전위 측정 방법 Author(s): 최승엽; 임재진; 이용민 Abstract: 본 발명은 전위를 측정하기 원하는 전극인 제1전극부재 및 제2전극부재; 저 분극형 기준전극인 제1기준전극부재; 및 상기 제1기준전극부재의 사전 리튬화를 위한 제2기준전극부재;를 포함하며, 상기 제1전극부재, 제2전극부재, 제1기준전극부재 및 제2기준전극부재는 외장부재의 4면에 한 개씩 위치하고, 상기 제1전극부재와 상기 제2전극부재는 상호 대향하게 일정거리 이격 배치되며, 상기 제1기준전극부재와 상기 제2기준전극부재는 서로 대항하게 일정거리 이격 배치되어 십자형 구조를 형성하는 4전극 시스템 및 이를 이용한 전위 측정 방법에 관한 것이다. https://scholar.dgist.ac.kr/handle/20.500.11750/60159