• Title/Summary/Keyword: 5사물인터넷

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Ubiquitous 혁명과 IPv6

  • 김용진;진재경
    • Information and Communications Magazine
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    • v.20 no.5
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    • pp.582-594
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    • 2003
  • 유비쿼터스 혁명은 현재 사용되고 있는 모든 통신단말기는 물론, 모든 사물에 소형의 컴퓨터가 내장되고 해당사물의 기능 및 상태와 같은 정보를 광대역의 네트워크 환경을 통해서 자유롭게 주고 받는 환경을 구성하여, 기존에 공상과학 영화에서나 볼 수 있었던 미래 인류의 삶을 구체적으로 현실화 시킬 수 있을 것으로 기대된다. 유비궈터스 환경은 인터넷을 기반으로 구축될 전망이며 무수히 많은 단말 및 각종 센서들을 유무선 통신기술로 연결하기 위해서는 방대한 양의 식별자가 필요하다. 그러나 기존 인터넷 망에서 사용되고 있는 IPv4의 경우 그 식별자인 인터넷 주소가 이미 부족한 상태이므로 유비쿼터스 환경에 적용하기는 어려운 상황이다. 따라서 유비쿼터스 혁명을 위해서는 새로운 인터넷 주소체계를 필요로 하는데 차세대 인터넷 프로토콜로 개발된IPv6는 이러한 유비쿼터스 환경에 적용될 수 있는 많은 장점을 가지고 있으며 유비쿼터스 혁명을 시작하고 완성할 수 있는 핵심 기능으로 주목받고 있다. 본 논문에서는 이러한 미래사회의 모습을 변화시킬 유비쿼터스 혁명과 이러한 혁명을 성공적으로 이끌기 위해 필수적인 네트워킹 기술조서의IPv6의 주요 특성과 향후 발전 방향에 대해 기술한다.

Analysis on the Current Status of the Fourth Industrial Revolution-Oriented Curriculum of the Computer and Software-Related Majors Based on the Standard Classification (표준분류에 기준한 컴퓨터 및 소프트웨어 관련 전공의 제4차 산업혁명중심 교육과정 운영 현황 분석)

  • Choi, Jin-Il;Choi, Chul-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.3
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    • pp.587-592
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    • 2020
  • This paper analyzed the curriculum of computer and software-related majors educating the core IT-related skills needed for the 4th Industrial Revolution. The analysis was conducted on 158 majors classified as applied software, computer science and computer engineering according to the standard classification of university education units by the Standard Classification Committee of the Korean Council of University Education. The current status of introduction of curricular divided into the fields of Internet of Things(IoT) & mobile, cloud & big data, artificial intelligence(AI), and information security was analyzed among the contents of education in the relevant departments. According to the analysis, an average of 81.6% of the majors for each group of curricular organized related subjects into the curriculum. The Curriculum Response Index for the 4th industrial revolution(CRI4th) by major, calculated by weighting track operations by education sector, averaged 27.5 point out of 100 point. And the IoT & mobile sector had the highest score of 42.3 points.

Smart Outlet System for Single-person Household based on IoT (Internet of Things) (사물 인터넷 기반의 1인 가구를 위한 스마트 콘센트 시스템)

  • Kim, Hye-Suk;Park, Byeong-Ju;Cho, Young-Ju
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.895-904
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    • 2017
  • In this paper, we propose an IoT based smart outlet system for one-person household with electric safety, electric energy consumption management and transmission of messages to the reserved contacts by connecting the emergency network. The proposed smart outlet system is implemented by parsing packet data and protocol between server, module, application and WiFi AP receiver. The WiFi AP built for communication can be used not only for the outlet but also for the gas barrier, the door lock and the like. In addition, the proposed method can provide the remote monitoring function by receiving the amount of power of the receptacle received through the AC current sensor (SCT-013) in real time. The smart outlet system is expected to be capable of automatically shutting off the power in case of emergency through automatic power use analysis in addition to the standby power cutoff function.

Classification Method based on Graph Neural Network Model for Diagnosing IoT Device Fault (사물인터넷 기기 고장 진단을 위한 그래프 신경망 모델 기반 분류 방법)

  • Kim, Jin-Young;Seon, Joonho;Yoon, Sung-Hun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.9-14
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    • 2022
  • In the IoT(internet of things) where various devices can be connected, failure of essential devices may lead to a lot of economic and life losses. For reducing the losses, fault diagnosis techniques have been considered an essential part of IoT. In this paper, the method based on a graph neural network is proposed for determining fault and classifying types by extracting features from vibration data of systems. For training of the deep learning model, fault dataset are used as input data obtained from the CWRU(case western reserve university). To validate the classification performance of the proposed model, a conventional CNN(convolutional neural networks)-based fault classification model is compared with the proposed model. From the simulation results, it was confirmed that the classification performance of the proposed model outweighed the conventional model by up to 5% in the unevenly distributed data. The classification runtime can be improved by lightweight the proposed model in future works.

Remote Binder: Remote Procedure Call between Android Devices (Remote Binder: 안드로이드 디바이스 간 원격 프로시저 호출)

  • Jeong, Kihyun;Kang, HeeEun;Lee, Kwonyong;Park, Sungyong
    • KIISE Transactions on Computing Practices
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    • v.21 no.5
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    • pp.359-364
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    • 2015
  • As Internet of Things(IoT) has become one of the most rapidly growing market in the world, the number of embedded Android devices has increased. Therefore, it is necessary to set up an environment that connects and cooperates between the devices via network. The environment requires an ability not only to obtain information about other devices through a network but to control remote devices by invoking remote procedures. This paper suggests the Remote Binder, which is a method for remote procedure call between devices operating on Android platform. It invokes procedures of other Android devices without any revisions via network by extending the binder structure which is used for inter-process communication in Android.

What are the challenges of public PR in the smart and intelligent information society?; Focusing on the Issues and Solutions of the Intelligent Information Society in Public PR (스마트 지능정보 사회에서 공공PR의 현안 과제는 무엇인가?; 공공PR적 측면에서의 지능정보 사회의 쟁점 및 해결방안을 중심으로)

  • Kim, Hyun Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.51-60
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    • 2019
  • The purpose of this study is to examine the issues that can be expected in the smart intelligent information society led by artificial intelligence and the Internet of Things, and how to resolve the issues in terms of PR.The results were as follows. First, there are three major issues that can be expected Second, in order to resolve the issue, it is necessary to prepare and carry out a public interest campaign to create and participate in a new paradigm for the alienated public. Third, welfare technology can be considered as an alternative to the issues.

Development of Educational Model for ICT-based Convergence Expert (ICT 기반의 융합전문가 양성을 위한 교육모형 개발)

  • Ryu, Gab-Sang
    • Journal of the Korea Convergence Society
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    • v.6 no.6
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    • pp.75-80
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    • 2015
  • To train convergence experts ICT infrastructure must be learned IoT use capabilities of things. In this paper, targeted to students that are majoring in computer science, and for the design of the curriculum and the educational model that handles education of operation in general for training IoT-related education for five months to experts of convergence training describe the contents. Course is the basic ability of the process, core competence course, is divided into real-life capability process and on-site training course, was constructed in a total of 10 stages of the process details. Curriculum, it was designed to learn sensing technology, network technology, security, and content production technology. This educational model is utilized for job creation human resource training project of 2015 Ministry of Employment and Labor, it demonstrated the utility to contribute in order to achieve a high completion and the employment rate. Applicable to future university education plans to expand the curriculum, including courses that complement the Java.

VPN-Filter Malware Techniques and Countermeasures in IoT Environment (사물인터넷 환경에서의 VPN-Filter malware 기술과 대응방법)

  • Kim, Seung-Ho;Lee, Keun-Ho
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.231-236
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    • 2018
  • Recently, a wide variety of IoT environment is being created due to the rapid development of information and communication technology. And accordingly in a variety of network structures, a countless number of attack techniques and new types of vulnerabilities are producing a social disturbance. In May of 2018, Talos Intelligence, the Cisco threat intelligence team has newly discovered 'VPN-Filter', which constitutes a large-scale IoT-based botnet, is infecting consumer routers in over 54 countries around the world. In this paper, types of IoT-based botnets and the attack techniques utilizing botnet will be examined and the countermeasure technique through EXIF metadata removal method which is the cause of connection method of C & C Server will be proposed by examining the characteristics of attack vulnerabilities and attack scenarios of VPN-Filter.

Development and Operation of Remote Lone-Senior Monitoring System Based on Heterogeneous IoT Sensors and Deep Learning (이종 사물인터넷 센서와 딥러닝에 기반한 독거노인 원격 모니터링 시스템의 개발 및 운영 사례 연구)

  • Yoon, Young;Kim, Hyunmin;Lee, Siwoo;Pouri, Safa Siavash
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.387-398
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    • 2022
  • This paper presents a system that remotely monitors lone seniors at home and promptly alarms caregivers to recommend appropriate medical care services upon detecting abnormal behavior and critical conditions such as collapsing, excessive coughing, degradation of sleep quality, fever, and unusual indoor moving lines. Our system offers contactless monitoring techniques based on heterogeneous IoT sensors and deep learning to minimize the disruption to lone senior's daily life. In addition to the design and implementation of the sensor data collection and analysis system, we share our experience in installation, deployment, configuration, maintenance of the system through the case study conducted on the actual lone seniors living in Seoul Metropolitan. Based on our research, we recommend further development directions to prepare for the nationwide expansion of our system.

Industrial IoT 환경의 사이버보안 이슈 연구

  • Chang, Hyun Soo;Kim, Hyeon-Jin;Shon, Taeshik
    • Review of KIISC
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    • v.25 no.5
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    • pp.12-17
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    • 2015
  • 산업사물인터넷(IIoT)은 사물인터넷(IoT)과 같이 기존의 여러 ICT 기술들과 무선센서네트워크 및 다양한 통신 기술들이 산업제어시스템에 적용된 것을 의미한다. IIoT는 일반적인 상용 IoT와 많은 부분 공통점과 그 기반 기술에 있어서의 동일한 성격을 가지지만 적용 대상 환경에 있어 차이를 가지고 있기 때문에 산업제어영역에서 IoT기술을 도입하기 위해서는 추가적으로 고려해야할 사항들이 존재한다. 본 논문에서는 IoT와 IIoT에 대하여 간단히 설명하고 IIoT 환경의 특수성에 대해서 다룬다. 그 후 상용 IoT에서 발생한 보안 사고관련 사례들을 살펴보고 산업제어영역에서 사이버보안 사고 발생시 그 피해 규모를 살펴본다. 그리고 IIoT를 도입하면서 보안관점에서 필요한 사항들에 대해 서술하였다.