• 산업융합연구
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• 제20권11호
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• pp.127-134
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• 2022

최근 4차산업 혁명의 도래와 함께 플랫폼 비즈니스의 중요성이 더욱 커지고 있다. 높은 시장 가치를 지닌 글로벌 기업들은 대부분 플랫폼 기업으로 알려져 있다. 이러한 변화는 다양한 산업에 있는 기업들의 비즈니스 모델에 변화를 주고 있다. 하지만, 기존의 연구들은 주로 정보 집약적 산업과 대기업을 중심으로 이루어져 왔다. 이에 본 연구는 신생산업이라고 볼 수 있는 서비스용 로봇 산업에서 성공적으로 성장하고 있는 에브리봇 사례를 분석하였다. 에브리봇은 로봇청소기를 판매하는 기업으로 알려져 있으나, 자율주행기술에 초점을 두고 제품 중심이 아닌 플랫폼 중심의 비즈니스를 영위함으로써 장기적 성장을 도모하고 있는 것으로 분석되었다. 이러한 연구결과는 국내 중소로봇기업이 개인서비스용 로봇시장에서 리더십을 가지고 장기적으로 성장하기 위해 어떻게 제품 중심이 아닌 플랫폼 중심 비즈니스 전략을 적용하는지 보여줌으로써 이론적 실무적 시사점을 가진다.

• Journal of Multimedia Information System
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• 제9권1호
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• pp.11-20
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• 2022

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

• Journal of Multimedia Information System
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• 제9권1호
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• pp.33-42
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• 2022

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

• 한국항행학회논문지
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• 제27권6호
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• pp.861-864
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• 2023

Recently, V2X (vehicle-to-everyting) communication has established itself as an essential technology for cooperative autonomous driving. V2X communication currently includes DSRC (dedicated short range communication) communication technology, which is a WLAN (wireless local area network) based communication technology, and C-V2X (cellular-V2X) communication technology, which is a Cellular-based communication technology. Since these two communication methods are not compatible with each other, various studies and experiments are being conducted to select one of the two communication methods. In the case of C-V2X communication, there are LTE-V2X (long term evolutionV2X) communication technology, which is an initial version, and 5G-V2X communication technology, which is a next-generation version. 5G-V2X communication technology has been completed only until standardization, so LTE-V2X communication technology is mainly used. In this paper, we introduce trends related to various issues in V2X communication, including communication method decisions.

• Journal of Positioning, Navigation, and Timing
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• 제2권1호
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• pp.91-100
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• 2013

This paper introduces an indoor sensor fusion wireless communication device which provides the Location Based Service (LBS) using fire prevention facility. The proposed system can provide information in real time by optimizing the hardware of Wi-Fi technology. The proposed system can be applied to a fire prevention facility (i.e., emergency exit) and provide information such as escape way, emergency exit location, and accident alarm to smart phone users, dedicated terminal holders, or other related organizations including guardians, which makes them respond instantly with lifesaving, emergency mobilization, etc. Also, the proposed system can be used as a composite fire detection sensor node with additional fire and motion detect sensors.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.126.2-126
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• 2001

This paper, the integration of driving simulator and unmanned vehicle by means of new concept for better performance through a tele-operated system is suggested. But autonomous system is one of the most difficult research topics from the point of view of several constrains on mobility, speed of vehicle and lack of environmental information. In these days, however, many innovations on the vehicle provide the appropriate automatic control in vehicle subsystem for reducing human error. This tendency is toward to the unmanned vehicle or the tele-operated vehicle ultimately. This paper describes the motion system ...

• 한국산학기술학회논문지
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• 제18권10호
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• pp.274-280
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• 2017

스마트카 산업은 급속한 ICT기술의 발전과 함께 커넥티드카, 인포테인먼트, 텔레매틱스, 자율주행차, 무인자동차, 전기자동차의 상용화 추세와 함께 미래 자동차 산업의 판도를 결정할 주요한 변수로 부각되고 있다. 본 연구는 스마트카 시장의 방향을 결정할 플랫폼공급자와 완성차업체의 주도권경쟁 및 전략적 포지셔닝을 비교 분석하였다. 연구 결과, 스마트카 기술을 주도하고 있는 플랫폼업체에 비해 완성차업체는 규모의 경제, 산업 인프라 및 글로벌 생산 네트워크와 같은 높은 산업구조적 진입장벽과 헤드섹터 정보의 보유와 같은 기술적 진입장벽에도 불구하고 ICT기술면에서의 혁신적 변화가 뒷받침 되지 않을 경우, 맵핑기술과 사용자정보 접근성, 빅데이터 활용능력, 사용자 인터페이스 경험 등 스마트카 관련 영역에서 우위에 있는 플랫폼업체들에게로 주도권이 이전될 것으로 예상된다. 이러한 예상의 근거는 보다 중요해지고 있는 소프트웨어 및 플랫폼의 가치와 전기차의 상용화로 증명된 자동차구조의 간편화에 기반하고 있다. 본 연구는 기능 및 안전 적용방안이나 업체별 기술력에 대한 분석에 초점이 맞춰져 있던 기존 스마트카 관련 연구에서 한걸음 나아가 기술제휴 동향 및 플랫폼업체의 전략적 접근성 관점에서 향후 스마트카 시장의 경쟁구도를 완성차업체와 비교 연구하고 시사점을 제시한 측면에서 의의가 있다.

• 전자통신동향분석
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• 제33권5호
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• pp.121-134
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• 2018

The Von Neumann based architecture of the modern computer has dominated the computing industry for the past 50 years, sparking the digital revolution and propelling us into today's information age. Recent research focus and market trends have shown significant effort toward the advancement and application of artificial intelligence technologies. Although artificial intelligence has been studied for decades since the Turing machine was first introduced, the field has recently emerged into the spotlight thanks to remarkable milestones such as AlexNet-CNN and Alpha-Go, whose neural-network based deep learning methods have achieved a ground-breaking performance superior to existing recognition, classification, and decision algorithms. Unprecedented results in a wide variety of applications (drones, autonomous driving, robots, stock markets, computer vision, voice, and so on) have signaled the beginning of a golden age for artificial intelligence after 40 years of relative dormancy. Algorithmic research continues to progress at a breath-taking pace as evidenced by the rate of new neural networks being announced. However, traditional Von Neumann based architectures have proven to be inadequate in terms of computation power, and inherently inefficient in their processing of vastly parallel computations, which is a characteristic of deep neural networks. Consequently, global conglomerates such as Intel, Huawei, and Google, as well as large domestic corporations and fabless companies are developing dedicated semiconductor chips customized for artificial intelligence computations. The AI Processor Research Laboratory at ETRI is focusing on the research and development of super low-power AI processor chips. In this article, we present the current trends in computation platform, parallel processing, AI processor, and super-threaded AI processor research being conducted at ETRI.

• 대한임베디드공학회논문지
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• 제8권5호
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• pp.249-254
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• 2013

In this paper we propose nonlinear control system for automatic unmanned vehicle using a RC (Radio Controlled) car which is usually controlled by a remote controller. In the proposed system, a RC car is dissembled and reassembled with several parts enabling it to be controlled by an android mobile platform with Bluetooth communication. In our system, an android mobile smartphone is mounted on the RC car and plays an important role as an eye of the car. The proposed system automatically controls the RC car to follow a lane that we draw on the floor of our laboratory. Also, the proposed RC car system can also be controlled manually using the accelerometer sensor of a smartphone through a Bluetooth module. Our proposed system that has both manual mode and automatic mode consists of several components; a microprocessor unit, a Bluetooth serial interface module, a smartphone, a dual motor controller and a RC toy car. We are now in the development of a group driving system in which one car follows the front car that tracks a lane automatically.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.281-282
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• 2023

자율주행 자동차 시장 규모 및 기술이 급속도로 성장하고 있음에도 불구하고, 전문가 교육을 위한 높은 하드웨어 비용 때문에 실제로 이 기술을 실험하기 위한 집단 교육 플랫폼의 필요성이 높아졌다. 이에 따라 우리는 자율주행에 사용되는 센서와 액츄에이터, 그리고 자율주행 알고리즘 학습을 위한 1/5 크기의 하드웨어를 포함한 교육 플랫폼을 설계했다. 이 교육 프로그램은 온라인 강의와 실습으로 구성되며, 각각의 모듈은 로봇 운영체제(ROS)를 활용한 C언어로 개발되었다. 이 교육 플랫폼은 언제 어디서나 접근 가능한 온라인 형식으로 제공되므로, 학생들은 이론과 실습을 통해 자율주행 분야의 전문가로 성장할 수 있는 기회를 얻게 되고 혁신과 경쟁력 강화에 기여할 것으로 기대된다.