• 융합정보논문지
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• 제11권7호
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• pp.21-30
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• 2021

사물인터넷 기술 발전으로 스마트 차, 스마트 헬스케어, 스마트 홈, 스마트 팜 등 다양한 클라우드 컴퓨팅 기반 서비스가 확대되고 있다. 새로운 환경의 등장함에 따라 개인정보 또는 기업 기밀 등 중요 정보에 대한 노출 가능성, 해킹으로 인한 금전적인 피해 사례, 악의적인 공격기법으로 인한 인명피해 등 다양한 문제가 지속하여 발생하고 있다. 본 논문에서는 스마트 홈 기반의 안전한 통신을 수행하고, 사용자 데이터 보호를 위한 메시지 통신프로토콜을 제안한다. 세부 과정으로 스마트 홈 환경에서 안전한 디바이스 등록, 메시지 인증 프로토콜, 갱신프로토콜을 새롭게 설계하였다. 스마트 홈 서비스 관련 보안 요구사항을 참고하여 대표 공격기법에 대한 안정성을 검증하고, 성능을 비교분석을 수행한 결과 통신 측면 약 50%, 서명검증 측면 약 25%의 효율성을 확인했다.

• 디지털산업정보학회논문지
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• 제13권4호
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• pp.81-90
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• 2017

This paper presents a smart seat for correction of driver posture while driving. We introduce good postures with seat height, seat angle, head height, back of knees, distances of foot pedals, tilt of seat, etc. There have been some studies on correction of good posture while driving, effects of driving environment on driver's posture, sitting strategies based on seating pressure distribution, estimation of driver's standard postures, and others. However, there are a few studies on guide of good postures while driving for problem of driver's posture using machine leaning. Therefore, we suggest a smart seat for correction of driver's posture based on machine leaning, 1) developed the system to get postures by 10 piezoelectric effect element, 2) collect piezoelectric values from 37 drivers and 28 types of cars, 3) suggest 4 types of good postures while driving, 4) analyze test postures by kNN. As the results, we can guide good postures for bad or problems of postures while driving.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.838-843
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• 2008

Cause of struggling to escape from dependency of fossil fuels, the fuel cell and the Plug-in Hybrid Electric Vehicle (PHEV) draw attention in the all of the world. Especially, the Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems have been anticipated for next generation's energy supplying system, and we can predict the PHEV will enlarge the market share in the next few years to reduce not only the air pollution in the metropolis but the fuel-expenses of commuters. This paper presents simulation results about the strategy of smart charging system for PHEV in the residential house which has 1 kW PEMFC cogeneration system. The smart charging system has a function of recommending the best time to charge the battery of PHEV by the lowest energy cost. The simulated energy cost for charging the battery based on the electricity demand data pattern in the house. The house which floor area is $132\;m^2$ (40 pyeong.). In these conditions, the annual gasoline, electricity, and total energy cost to fuel the PHEV versus Conventional Vehicle (CV) have been simulated in terms of cars' average life span in Korea.

• 한국전기전자재료학회논문지
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• 제32권1호
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• pp.1-5
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• 2019

The overhead contact line (OCL) is a key piece of equipment for transmitting electrical energy to the pantograph of rail cars. Recently, a 400 km/h OCL was applied to the Honam high-speed line, and its performance was examined by running HEMU-430X. For the study, we analyzed the current of catenary wire concurrently while running HEMU-430X in the Honam high-speed line. Specifically, this study recorded the currents for each speed during operation of the railway vehicle. The analysis of the frequency of line current showed generation of third-harmonics, 15th-harmonics, 17th-harmonics, and 19th-harmonics. The current of catenary wire is a basic technology assessment used to determine the electrical safety of electric railway systems, and it can be used as a technology for analyzing circulating currents generated in the current configuration, as well as for analyzing electric fatigue of the OCL components.

• 전자통신동향분석
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• 제36권1호
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• pp.1-11
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• 2021

In this study, we introduce trends in and the future of digital personal assistants. Recently, digital personal assistants have begun to handle many tasks like humans by communicating with users in human language on smart devices such as smart phones, smart speakers, and smart cars. Their capabilities range from simple voice commands and chitchat to complex tasks such as device control, reservation, ordering, and scheduling. The digital personal assistants of the future will certainly speak like a person, have a person-like personality, see, hear, and analyze situations like a person, and become more human. Dialogue processing technology that makes them more human-like has developed into an end-to-end learning model based on deep neural networks in recent years. In addition, language models pre-trained from a large corpus make dialogue processing more natural and better understood. Advances in artificial intelligence such as dialogue processing technology will enable digital personal assistants to serve with more familiar and better performance in various areas.

• 센서학회지
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• 제32권5호
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• pp.267-274
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• 2023

LiDAR, one of the most important sensing methods used in mobile robots and cars with assistive/autonomous driving functions, is used to locate surrounding obstacles or to build maps. For real-time path generation, the detection of potholes or puddles on the driving surface is crucial. To achieve this, we used the coordinates of the reflection points provided by LiDAR as well as the intensity information to classify water areas, which was achieved by applying a linear regression method to the intensity distribution. The rationale for using the LiDAR index as an input variable for linear regression is presented, and we demonstrated that it is not affected by errors in the distance measurement value. Because of LiDAR vertical scanning, if the reflective surface is not uniform, it is divided into different groups according to the intensity distribution, and a mathematical basis for this is presented. Through experiments in an outdoor driving area, we could distinguish between flat ground, potholes, and puddles, and kinematic analysis was performed to calculate the maximum width that could be crossed for a given vehicle body size and wheel radius.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.49-58
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• 2019

In this paper, we propose an edge cloud platform architecture for implementing smart factory. The edge cloud platform is one of edge computing architecture which is mainly focusing on the efficient computing between IoT devices and central cloud. So far, edge computing has put emphasis on reducing latency, bandwidth and computing cost in areas like smart homes and self-driving cars. On the other hand, in this paper, we suggest not only common functional architecture of edge system but also light weight cloud based architecture to apply to the specialized requirements of smart factory. Cloud based edge architecture has many advantages in terms of scalability and reliability of resources and operation of various independent edge functions compare to typical edge system architecture. To make sure the availability of edge cloud platform in smart factory, we also analyze requirements of smart factory edge. We redefine requirements from a 4M1E(man, machine, material, method, element) perspective which are essentially needed to be digitalized and intelligent for physical operation of smart factory. Based on these requirements, we suggest layered(IoT Gateway, Edge Cloud, Central Cloud) application and data architecture. we also propose edge cloud platform architecture using lightweight container virtualization technology. Finally, we validate its implementation effects with case study. we apply proposed edge cloud architecture to the real manufacturing process and compare to existing equipment engineering system. As a result, we prove that the response performance of the proposed approach was improved by 84 to 92% better than existing method.

• 전자통신동향분석
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• 제30권5호
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• pp.11-21
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• 2015

최근 IT기술과 산업 간 융합이 활발한 가운데 자동차에도 각종 첨단 IT기술이 접목되면서 운전자의 안전과 편의성이 향상된 스마트카(smart car)가 속속 개발되고 있다. 가까운 미래에 스마트카의 도움으로 운전자가 전방주시 의무에서 자유롭게 될 수 있게 되면, 운행 중에 언제 어디서나 모바일 인터넷을 통한 정보접근이 가능하도록 지원하는 컴퓨팅 환경인 자동차 사물인터넷(Internet of Vehicles, Automotive IoT)이 중요하게 대두될 것으로 전망된다. 자동차 사물인터넷의 개념이 아직은 명확히 잡혀있지 않지만, 대체로 모바일 연결성(mobile connectivity)을 중심으로, 교통안전 혼잡해소뿐만 아니라 다양한 사용자 맞춤형 서비스 산업을 창출할 수 있는 컴퓨팅 환경을 의미한다. 즉, 운전자와 자동차, 자동차와 주변환경 및 교통인프라, 그리고 일상생활의 모든 요소가 자동차를 매개로 해서 유기적으로 연결되는 컴퓨팅 환경을 의미하며, 가까운 미래에 이런 컴퓨팅 환경을 지원하는 자동차가 상용화될 것으로 전망된다. 본고에서는 이러한 전망을 반영하여 자동차 사물인터넷 환경의 스마트카에 적용될 주요 기술과 서비스를 분석하고, 스마트카와 자율주행의 핵심기술인 인포테인먼트 플랫폼의 주요 동항 및 이슈를 살펴보고자 한다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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• pp.447-448
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• 2020

본 논문에서는 스마트 자동차를 외부에서 제어할 수 있는 원격접속의 보안성을 강화할 수 있는 방안을 제안한다. 다양한 자동차 제조사들이 물리적인 자동차 구동에서 나아가 정보통신기술을 접목하여 운전자에게 다양한 편의성을 제공하고 있다. 정보통신기술을 이용해 자동차의 기능이 증가하는 만큼 정보시스템의 취약성을 이용해 외부의 비인가자에 의한 침입이 이루어질 수 있는 취약성 또한 증대하며, 자동차의 경우 이러한 위협이 주행 중 발생 시 운전자의 생명까지 위협할 수 있는 매우 위험한 상황이 발생할 수 있다. 이에 외부로부터 비인가자의 접근을 차단할 수 있는 방안을 기존 정보통신시스템 보안 기법을 접목하여 스마트 자동차의 안전한 운행이 가능할 수 있도록 한다. 본 논문에서는 기존 정보통신시스템에서 활용 중인 보안 방안을 통하여 제안하는 스마트 자동차 원격접근 제어 정책이 기존의 스마트 자동차 정보보안 정책에 비해 보안성 향상 면에서 더 우수함을 보인다.

• 대한임베디드공학회논문지
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• 제19권1호
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• pp.27-32
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• 2024

Recently, there has been a growing interest in integrating physical toys into video gaming within the game content business. This paper introduces a novel method that leverages low-cost camera as an alternative to using sensor attachments to meet this rising demand. We address the limitations associated with low-cost cameras and propose an optical design tailored to the specific environment of model car recognition. We overcome the inherent limitations of low-cost cameras by proposing an optical design specifically tailored for model car recognition. This approach primarily focuses on recognizing the underside of the car and addresses the challenges associated with this particular perspective. Our method employs a transfer learning model that is specifically trained for this task. We have achieved a 100% recognition rate, highlighting the importance of collecting data under various camera exposures. This paper serves as a valuable case study for incorporating low-cost cameras into vision systems.