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CNN기반의 딥러닝 모델을 활용한 잔골재 조립률 예측에 관한 기초적 연구
임성규 ( Lim¸ Sung-gyu ),윤종완 ( Yoon¸ Jong-wan ),박태준 ( Pack¸ Tae-joon ),이한승 ( Lee¸ Han Seung ) 한국건축시공학회 2021 한국건축시공학회 학술발표대회 논문집 Vol.21 No.2
Recently, as concrete is used in many construction works in Korea, the use of aggregates is also increasing. However, the depletion of aggregate resources is making it difficult to supply and demand high-quality aggregates, and the use of defective aggregates is causing problems such as poor performance such as the liquidity and strength of concrete pouring out in the field. As a result, quality tests such as sieve analysis test is conducted on their own, but this study was conducted to improve time and manpower by using the CNN-based Deep Learning Model for the fineness modulus.
Passive Bypass Using Anthron Tube in Adult Living Donor Liver Transplantation
SungGyu Lee,Shin Hwang,KiHoon Kim,ChulSoo Ahn,KwangMin Park,YoungJoo Lee,DeokBog Moon,ChongWoo Chu,HyunSeong Yang,SungHoon Cho,KiBong Oh,TaeYong Ha,KiWon Song,YunSik Yu,PyungChul Min 대한외과학회 2002 대한외과학회 학술대회 초록집 Vol.2002 No.10
Multi-routing based Mobility Management with an Optimized Security Network
Sunggyu Kim,Byungjoo Park 대한전자공학회 2019 IEIE Transactions on Smart Processing & Computing Vol.8 No.4
Recently, there has been a drastic increase in the risk of personal information leakage brought about by inconsistencies in network security triggered by cyber-attacks. The persistent surge of internet users is paralleled by the demands for wireless services, which have become more susceptible to cyber-attacks, compared with wired services. Thus, a high level for quality of service is essential when providing wireless services to users. In addition, a reduced handover delay when a mobile node moves between network access points must be provided by wireless network systems. However, with a stronger security system implemented in a wireless environment, it follows that there will be a significant increase in handover delay. It simply means that current wireless network systems are unable to provide the desired QoS for the wireless services demanded by Internet users. Consequently, various security and QoS enhancement protocols have been studied and developed, but a lot more challenges need to be addressed. This paper proposes a robust security scheme to support fast handovers for mobility management protocols over Internet Protocol version 6 (IPv6) through utilization of an exchange key.
Sunggyu Lee(이성규),Tae-Jin Park(박태진),Kyungho Choi(최경호),Hyo-Bang Moon(문효방) 환경독성보건학회 2021 한국독성학회 심포지움 및 학술발표회 Vol.2021 No.5
Synthetic musk compounds (SMCs) are typical anthropogenic organic contaminants used as additives in many consumer products. SMCs could enter into the aquatic environment through effluents of wastewater treatment plants (WWTPs). Several studies reported that acute and chronic toxicity to aquatic organisms. In this study, surface water, sediment, and biota samples were collected from four major rivers of Korea in 2020, and were determined for 12 SMCs using a gas chromatography coupled to tandem mass spectrometer. Among analyzed SMCs, HHCB, DPMI, MK, and AHTN were detected in water samples. Mean concentrations of SMCs (ΣSMC) was 229, 99.8, 85.6, and 90.5 ng/L in Han, Gum, Yeongsan, and Nakdong Rivers, respectively. The major SMCs in Korean rivers was HHCB followed by MK, DPMI, and AHTN. The concentrations of HHCB and AHTN measured in our study were within the ranges of those reported for other countries. Seasonally, ΣSMC was the highest in winter. The next highest concentration was spring, autumn, and summer. These seasonal variations of SMCs concentrations are related to precipitation and temperature of each season. Similar with the results in water, HHCB (mean: 6.94 ng/g dw for sediment and 1999 ng/g lw for biota), AHTN (1.38 ng/g dw and 311 ng/g lw), and MK (0.04 ng/g dw and 245 ng/g lw) show at detectable concentrations in sediment and biota samples. An ecological risks of SMCs to aquatic organisms were assessed by comparing with PNEC value. The results showed that SMCs were negligible to pose an ecological risk to aquatic organisms in Korean rivers.
A Reinforcement Learning with CMAC
Sunggyu Kwon 한국지능시스템학회 2006 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.6 No.4
To implement a generalization of value functions in Adaptive Search Element (ASE)-reinforcement learning, CMAC (Cerebellar Model Articulation Controller) is integrated into ASE controller. ASE-reinforcement learning scheme is briefly studied to discuss how CMAC is integrated into ASE controller. Neighbourhood Sequential Training for CMAC is utilized to establish the look-up table and to produce discrete control outputs. In computer simulation, an ASE controller and a couple of ASE-CMAC neural network are trained to balance the inverted pendulum on a cart. The number of trials until the controllers are established and the learning performance of the controllers are evaluated to find that generalization ability of the CMAC improves the speed of the ASE-reinforcement learning enough to realize the cartpole control system.
BOXES-based Cooperative Fuzzy Control for Cartpole System
Sunggyu Kwon 한국지능시스템학회 2007 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.7 No.1
Two fuzzy controllers defined by 2 input variables cooperate to control a cartpole system in terms of balancing as well as centering. The cooperation is due to the BOXES scheme that selects one of the fuzzy controllers for each time step according to the content of box that is established through the critic of the control action by the fuzzy controllers. It is found that the control scheme is good at controlling the cartpole system so that the system is stabilized fast while the BOXES develops its ability to select proper fuzzy controller through experience.
Two Fuzzy Controllers Alternating for Cartpole System
Sunggyu Kwon 한국지능시스템학회 2009 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.9 No.2
A control system composed of two fuzzy controllers is proposed to balance the pole as well as to move the cart to the center of the track of the cartpole system. The two fuzzy controllers are designed with 2 input variables respectively and their control characters are studied in order to devise a control scheme that alternates the two fuzzy controllers. It is found that the control system using the scheme works well even though there is some residual oscillations of the pole and the cart.