• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.409-412
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• 2019

본 논문에서는 인공지능과 빅데이터 클라우드 등 다양한 4차 산업혁명시대의 기술과 교육을 융합한 에듀테크를 기초로 하여 에듀테크에 대한 교사의 학습 방향을 제시하며 전체적인 클라우드의 개념 및 분류체계, 교육의 활용을 제시하였고 클라우드 기반 교육용 소셜 플랫폼과 R. M. Gagne(1985)의 9가지 이론을 토대로 정보교과 추상화 단원의 학습 지도안을 설계 후 성취도 평가를 제시하였다. 연구 내용 분석 결과 기술의 발전성과 교육현장에서의 개인정보 교육 및 정보보안 교육의 필요성이 강조되며 확고한 플랫폼 구축과 빅데이터 확보 및 분석하여 개인에게 맞춤형 서비스 제공이 필요하다. 또한 사용자 편의성 극대화 서비스 및 UX 간결이 요구된다. 본 논문을 토대로 에듀테크의 일부분인 클라우드 기반 소셜러닝의 다양하고 체계적인 선행연구 활성화에 시발점이 되었으면 한다.

• Journal of the Korean Society for Heat Treatment
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• v.32 no.1
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• pp.29-35
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• 2019

The remedial junction is found in the network of single walled carbon nanotubes after the irradiation of protons not only for the better mechanical strength but also for the higher property of electrical conductivity. The irradiated proton formed a beam transferred sufficient energy to change the sp2 structure of atomic carbon as much as damage of crystalline formation, however it is shown the cross bonding while recovery of structure. This improved network in 2-D atomic chain of carbon is expected to use in a critical part in space energy harvesting system related with the solar radiation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.119-122
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• 2022

연합학습은, 데이터 샘플을 보유하는 다수의 분산 에지 디바이스 또는 서버들이 원본 데이터를 공유하지 않고 기계학습 문제를 해결하기 위해 협력하는 기술로서, 각 클라이언트는 소유한 원본 데이터를 로컬모델 학습에만 사용함으로써, 데이터 소유자의 프라이버시를 보호하고, 데이터 소유 및 활용의 파편화 문제를 해결할 수 있다. 연합학습을 위해서는 통계적 이질성 및 시스템적 이질성 문제 해결이 필수적이며, 인공지능 모델 정확도와 시스템 성능을 향상하기 위한 다양한 연구가 진행되고 있다. 최근, 중앙서버 의존형 연합학습의 문제점을 극복하고, 데이터 무결성 및 추적성과 데이터 소유자 및 연합학습 참여자에게 보상을 효과적으로 제공하기 위한, 블록체인 융합 연합학습기술이 주목받고 있다. 본 연구에서는 이더리움 기반 블록체인 인프라와 호환되는 연합학습 레퍼런스 아키텍처를 정의 및 구현하고, 해당 아키텍처의 실용성과 확장성을 검증하기 위하여 대표적인 연합학습 알고리즘과 데이터셋에 대한 실험을 수행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.264-267
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• 2022

Recently, federated learning (FL) has increased prominence as a viable approach for enhancing user privacy and data security by allowing collaborative multi-party model learning without exchanging sensitive data. Despite this, most present FL systems still depend on a centralized aggregator to generate a global model by gathering all submitted models from users, which could expose user privacy and the risk of various threats from malicious users. To solve these issues, we suggested a safe FL framework that employs differential privacy to counter membership inference attacks during the collaborative FL model training process and empowers blockchain to replace the centralized aggregator server.

• Transactions of Materials Processing
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• v.31 no.3
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• pp.143-150
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• 2022

The purpose of this study was to investigate an innovative hydroforming process for the cost-effective manufacturing of double layered tube with circumferentially corrugated patterns. Conventional double pipe heat exchanger has relatively poor heat transfer efficiency because of the limited contact area resulting from the concentrically arranged simple cylindrical structure. As a promising alternative to enhance heat transfer efficiency, double layered tube with corrugated internal pattern was considered in this study. To fabricate corrugated inner tube, innovative tube hydroforming system was developed. The customized loading paths were established using the simulated forming pressure and contracting stroke at various bar diameters. Experimentally obtained cross-sectional profiles were analyzed to evaluate the reliability and applicability of the hydroformed tube with various patterns. The results demonstrate that the proposed hydroforming process can be a feasible alternative for manufacturing high-performance double-tube heat exchangers.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.100-103
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• 2021

IoT 와 인공지능을 접하려는 시도는 최근 들어서 많은 발전을 보이고 있다. 본 논문은 컴퓨팅 파워가 제한되는 작은 디바이스 IoT 의 한계를 극복하기 위하여 ROS 를 이용하여 복잡한 연산을 무선 통신으로 오프로딩하는 기법을 제안한다. 제안된 자율주행카드 시스템은 카트 이용 고객 개개인을 검출하고 추적하되 컴퓨터 비전 알고리즘과 LiDAR 센서를 이용하며, 음성인식 알고리즘을 적용하여 기계와 인간의 감성공학적 소통이 가능한 융합형 자율주행카트를 구현한다.

• Transactions of Materials Processing
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• v.32 no.2
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• pp.87-91
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• 2023

In the present work, the ductile fracture behaviors of ultra-high strength steel sheets along the different loading directions are investigated under various loading paths. Three loading paths, i.e., in-plane shear, uniaxial tension, plane strain tension deformations, are considered, and the corresponding specimens are described. The experiments are conducted using the digital image correlation (DIC) system to analyze the strain at the onset of the fracture. The experimental results show that the loading path for each specimen sample is linear, and different values of the fracture strains for the loading direction from the plane strain tension are observed. The ductile fracture model of the modified Mohr-Coulomb (MMC) is constructed based on the experimental data and evaluated along the rolling direction and transverse direction under various loading paths.

• Convergence Security Journal
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• v.13 no.5
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• pp.57-66
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• 2013

Predicting pattern of future combat ensures a successful war. It is possible to anticipate the shape of the future combat from the fighting method of US Army in the Iraq War. The fighting method: a series of combat progress by real time information to pinpoint strike using a guided weapon by GPS, an intelligence satellite and unmanned surveillance vehicle (USV), shows that real time unification combat power is key element for decide outcome of a war. The NCW is an organically connected network centric warfare paradigm by networking a factor of operation. In this paper, studied on the improvement plan for combat power by the future computer like a portable computer, an audio-recognized computer and non-keyboard computer. In addition, this paper attempts to establish a comprehensive intelligence network of Korea Marine Corps and to apply to combat or training.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.65-72
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• 2020

The Internet of Things(IoT) is to build a hyper-connected society through interconnection, and on this basis, to improve the quality of life and productivity, including solving social problems, and to become the next growth engine for the nation. The open common eco-system pursued by the IoT can start with the under- standing of the word 'open'. The IoT can achieve the expected effect of lowering the barriers to entry of technology development, and in these changes, OSSW and OSHW play a very important role in accelerating IoT eco-system maturity and breaking the boundaries between industries to promote convergence. Recently, it has developed into an intelligent IoT that combines artificial intelligence (AI) with the connectivity of the IoT. Here, I will analyze the direction of development of the IoT through understanding and analysis of open source.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1443-1450
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• 2017

The purpose of this study is to develop an intelligent parking dispatching system based on LoRa network technology. During the local festival, many tourists come into the festival site simultaneously after sunset. To handle the traffic jam and parking dispatching, many traffic management staffs are engaged in the main road to guide the cars to available parking lots. Nevertheless, the traffic problems are more serious at the peak time of festival. Such parking dispatching problems are complex and real-time traffic information dependent. We used Queuing theory to predict inbound traffics and to measure parking service performance. Q-learning algorithm is used to find fastest routes and dispatch the vehicles efficiently to the available parking lots.