• 제목/요약/키워드: IoT application

검색결과 699건 처리시간 0.029초

사물인터넷 서비스의 중점 표준화 항목 도출 및 전략에 관한 연구 (Study on key standardization Work Item derivation and strategies for IoT services)

  • 김정숙
    • 디지털산업정보학회논문지
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    • 제12권1호
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    • pp.13-26
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    • 2016
  • Service and technology for the future hyper-connected society, which is every information receive through the mobile internet, will be an Internet of Things. Thus, it is mandatory to derive key standardization work item and establish strategy for the global business with the standardization of device and service platform by the application service. In this study, by analyzing the domestic and international market trends, state of technical development, and standardization of technology, we identified the open platform is the stepping stone for achieving the goal which is establishing the virtuous circulation of IoT ecosystem. Also, we defined emphasized key standardization work item for achieving the open platform are network, server, access authentication, billing system, and software platform. After that, we proposed future strategy direction of standardization. This research could be contribute to the IoT service diffusion by realizing IP communication among low power wireless terminals and implementing light-weight standard internet protocol.

경량 IoT 디바이스의 메모리 점유율 감소를 위한 CoAP 핸드오버 절차 (CoAP handover procedure for reducing memory load of lightweight IoT device)

  • 안세영;김태성;김지형;조성현
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2018년도 제58차 하계학술대회논문집 26권2호
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    • pp.135-136
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    • 2018
  • CoAP을 사용하는 IoT 기기는 핸드오버를 시행하는 동안 주기적으로 보내야 하는 메시지를 보내지 않고 메모리에 저장한다. 그로 인한 경량 IoT 기기의 메모리 요구량의 감소를 위한 핸드오버 절차를 제안한다. 제안하는 절차에서는 센서 노드가 핸드오버 이전에 현재 기지국에 미리 핸드오버 요청을 보낸다. 따라서 센서 노드가 이웃한 기지국에게 핸드오버 요청을 했을 때, 이웃한 기지국은 현재 기지국에게 핸드오버 알림을 주지 않는다. 본 연구에서는 시뮬레이션을 통하여 제안하는 핸드오버 절차로 인한 observe 메시지의 메모리 점유율을 50%가량 줄인다.

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이동통신기반 Industrial IoT 기술 동향 (Technical Trend and Challenging Issues for Cellular-Based Industrial IoT)

  • 김원익;김은아;고영조;송재수;윤찬호;문성현;김철순;백승권
    • 전자통신동향분석
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    • 제33권5호
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    • pp.51-63
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    • 2018
  • Mobile cellular technology is evolving to accommodate a variety of vertical services, expanding the application from human-to-human communication to the Internet of Things(IoT). In particular, the fourth industrial revolution, bringing in a new vision in future smart factory, necessitates a new paradigm shift in wireless communication. Low latency and high reliability is a key issue in wireless applications for industrial IoT such as factory automation. In this paper, we review the recent progress in 5G URLLC (Ultra-Reliable Low Latency Communication) and discuss use cases, requirements, challenging technical issues, and potential solutions to support wireless factory automation such as discrete automation and process automation.

IoT 기술을 활용한 콘크리트 초기 품질관리 시스템(CIMS)의 개발 (Development of Concrete IoT Management System using internal of things technique)

  • 서항구;신세준;이영준;현승용;한민철;한천구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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    • pp.61-62
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    • 2019
  • With development of IT technology, the ubiquitous has been realized in various industry. In construction industry, as well, end-edge techniques have been introduced such as managing technique the temperature and compressive strength of the concrete placed in structure in domestic and abroad project sites. However, several problems were found during application at the actual field regarding difficulties of connecting Bluetooth communication due to the short communication range, diffuse reflection caused by aluminum formwork, and high cost by using one-time sensor. Therefore to recover these shortages, and improve the performances, the wireless sensor network based concrete IoT management system for concrete early-age quality management was developed.

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딥러닝과 IoT 표준을 이용한 고소 작업자 행동분석 시스템 (Deep Learning and IoT Standards based High Rise Fieldworker's Behavior Analysis System)

  • 이세훈;강건하;심건우;탁진현
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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    • pp.247-248
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    • 2019
  • 본 논문에서는 블루투스 비콘을 이용해 고소 작업장 등의 위험지역에서 작업자 추적 및 확인과 안전 벨트고리를 체결했는지 여부와 작업자의 행동에 따른 데이터를 추가로 수집하여 작업자의 행동 패턴을 분석하였다. IoT 국제 표준인 oneM2M을 기반으로 IoT Device와 Application을 연결하는 중간 매개체로 모비우스 플랫폼을 사용해 시스템을 구축하였다. 또한, 본 연구팀의 선행 연구에서 작업자 위험 행동분류 시스템을 개선할 수 있는 연구 결과를 비교하였다.

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자기-기계-전기 변환소자를 이용한 에너지 하베스팅 기술 (Recent Progress in Magneto-Mechano-Electric Generators)

  • 황건태;류정호;윤운하
    • 한국전기전자재료학회논문지
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    • 제34권5호
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    • pp.271-282
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    • 2021
  • The internet of things (IoT) technology is a key component for the advent of 4th industrial revolution, which is the network of home appliances, infrastructures, and vehicles to remotely investigate these systems. For the operation of compact IoT devices, batteries are widely used as electric power, and the limited lifetime of batteries inevitably leads to periodic replacement. Magneto-mechano-electric (MME) generators may be alternatives to batteries inside the IoT devices by converting stray magnetic field into electric energy, since we are always surrounded by ambient alternating current (AC) magnetic fields induced from electric power transmission lines everywhere. This article reviews the recent domestic research progress in high-performance MME generators and their application field for IoT and electronic devices.

Task Scheduling in Fog Computing - Classification, Review, Challenges and Future Directions

  • Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.89-100
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    • 2022
  • With the advancement in the Internet of things Technology (IoT) cloud computing, billions of physical devices have been interconnected for sharing and collecting data in different applications. Despite many advancements, some latency - specific application in the real world is not feasible due to existing constraints of IoT devices and distance between cloud and IoT devices. In order to address issues of latency sensitive applications, fog computing has been developed that involves the availability of computing and storage resources at the edge of the network near the IoT devices. However, fog computing suffers from many limitations such as heterogeneity, storage capabilities, processing capability, memory limitations etc. Therefore, it requires an adequate task scheduling method for utilizing computing resources optimally at the fog layer. This work presents a comprehensive review of different task scheduling methods in fog computing. It analyses different task scheduling methods developed for a fog computing environment in multiple dimensions and compares them to highlight the advantages and disadvantages of methods. Finally, it presents promising research directions for fellow researchers in the fog computing environment.

Electrical Automatic Control System Based on the Internet of Things

  • Jiyong, Jin
    • Journal of Information Processing Systems
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    • 제18권6호
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    • pp.784-793
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    • 2022
  • Grid-connected distributed power generation has been widely used in green energy generation. However, due to the distributed characteristics, distributed power generation is difficult to be dynamically allocated and monitored in the electrical control process. In order to solve this problem, this research combined the Internet of Things (IoT) with the automatic control system of electrical engineering to improve the control strategy of the power grid inverter according to the characteristics of the IoT system. In the research, a connection system of the power grid inverter and the IoT controller were designed, and the application effect was tested by simulation experiments. The results showed that the power grid inverter had strong tracking control ability for current and power control. Meanwhile, the electrical control system of the IoT could independently and dynamically control the three-phase current and power. The given value was reached within 50 ms after the step signal was input, which could protect the power grid from being affected by the current. The overall system could realize effective control, dynamic control and protective control.

Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks

  • 담프로힘;맛사;김석훈
    • 인터넷정보학회논문지
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    • 제22권5호
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    • pp.27-33
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    • 2021
  • With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.

Design of Internet of Underwater Things Architecture and Protocol Stacks

  • Muppalla, Kalyani;Yun, Nam-Yeol;Park, Soo-Hyun;Kim, Changhwa
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 추계학술발표대회
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    • pp.486-488
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    • 2013
  • In the earth more than half of the space filled with water. In that water most of the part is in the form of oceans. The ocean atmosphere determines climate on the land. Combining the Underwater Acoustic Sensor Network (UWASN) system with Internet Of Things (IoT) is called Internet of Underwater Things (IoUT). Using IoUT we can find the changes in the ocean environment. Underwater sensor nodes are used in UWASN. Underwater sensor nodes are constructive in offshore investigation, disaster anticipation, data gathering, assisted navigation, pollution checking and strategic inspection. By using IoT components such as Database, Server and Internet, ocean data can be broadcasted. This paper introduces IoUT architecture and and explains fish forming application scenario with this IoUT architecture.