• Title/Summary/Keyword: IOT

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Trends and Prospects of IOT Technology (IOT기술의 동향과 발전전망)

  • Yoo, Ji-yeon;Hwang, Seung-jin;Jo, Su-jang;kwon, Se-hyun;Hwang, Ho-yeon;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.604-605
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    • 2018
  • Analyze trends in the Internet of Things (IOT) technology, including the growth of artificial intelligence (AI), block chain, data security, big data, and devices connected to the Internet, and thus the evolution of the IOT (Internet of Things).

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Effective Feature Extraction and Classification for IDS in Accessible IOT Environment (접근이 어려운 IOT 환경에서의 IDS를 위한 효과적인 특징 추출과 분류)

  • Lee, Joo-Hwa;Park, Ki-Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.714-717
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    • 2019
  • IOT는 복잡하고 이질적인 네트워크 환경이며 저전력 장치를 위한 새로운 라우팅 프로토콜의 존재로 인해 혁신적인 침입탐지 시스템이 필요하다. 특히 접근이 어려운 IOT 환경에서는 공격을 받았을 때 정확하고 빠른 탐지가 용이하여야 한다. 따라서 본 논문에서는 탐지의 정확성과 희소의 공격을 잘 탐지하기 위한 효과적인 특징 추출과 분류를 위한 SAR(Stacked Auto Encoder+Random Forest) 시스템을 제안한다.

Validation of COMS Ka band Antenna Beam Coverage (천리안위성 Ka대역 안테나 빔 커버리지 검증)

  • Jo, Jin-Ho;You, Moon-Hee;Lee, Seong-Pal;Kim, Jae-Hoon
    • Journal of Satellite, Information and Communications
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    • v.7 no.1
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    • pp.86-91
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    • 2012
  • This paper described validation results of COMS Ka band antennas beam coverages which were developed by ETRI. After satellite launch, In Orbit Test(IOT) activities are stat to check spacecraft and payloads are still in healthy condition after launch. During IOT phase, ETRI measured radiation patterns of COMS Ka band antennas and compare with ground test(CATR) results. The antenna patterns similarity between IOT results and CATR results show that COMS Ka band antenna withstand launch vibration and in the good healthy condition. After IOT, ETRI performed field test for beam coverage measurements with vehicle to check if Ka band beam coverage are formed well as designed. For the beam coverage measurement, 17 points were selected over the Korean peninsula. The field measurement data were very similar with CATR data and this confirms that beam coverage are formed well over the Korean peninsula as expected.

A Study on Crop planting data acquisition using the IOT (IOT를 이용한 농작물 재배 데이터 취득에 관한 연구)

  • Cho, Young-Seok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.55-56
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    • 2017
  • 본 논문에서는 작물재배에 대한 전문지식이 없는 초심자를 위하여 IOT를 이용하여 작물 재배에 필요한 데이터를 취득하는 시스템을 제안한다. 베이비 붐 세대의 은퇴가 진행되면서 도시농업의 증가와 정밀 고소득 장물에 대한 수요가 증가되고 있어 이에 필요한 작물의 재배자료에 대한 중요성이 증대되고 있다. 이에 각각의 작물에 따른 최적의 재배데이터를 계측하여 데이터베이스로 구축에 관한 연구를 진행하고자 한다. 작물 재배 데이터의 취득은 작물 데이터를 취득하는 계측 및 제어부와 계측데이터를 수집하고, 수집된 데이터를 기초로 작물재배 데이터를 처리하는 서버부분으로 구성되며, 계측 및 제어부에서 재배환경의 온도, 습도, 그리고 광량, 수분공급시기, 영양분 투입 데이터를 계측하여 일정 시간마다 서버로 저장한다. 따라서 본 논문에서 구축하고자 하는 IOT를 이용하여 작물 재배에 필요한 데이터는 최적의 작물 생장환경을 지속적으로 제공하여 비전문가의 농업활동에 새로운 방향을 제시하리라 사료된다.

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The Change in the Model of Competitive Forces by IOT (IOT로 인한 경쟁세력 모형에서의 변화)

  • Lee, Hyun-Chang;Kim, Do-Goan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.109-111
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    • 2016
  • It is expected that the new IOT technological environments can bringe the major change in the traditional competitive forces. In this point, this study is to understand the trend and change in the view of the five competivie forces in business, suggested by Michale Porter.

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A Deep Learning based IOT Device Recognition System (딥러닝을 이용한 IOT 기기 인식 시스템)

  • Chu, Yeon Ho;Choi, Young Kyu
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.2
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    • pp.1-5
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    • 2019
  • As the number of IOT devices is growing rapidly, various 'see-thru connection' techniques have been reported for efficient communication with them. In this paper, we propose a deep learning based IOT device recognition system for interaction with these devices. The overall system consists of a TensorFlow based deep learning server and two Android apps for data collection and recognition purposes. As the basic neural network model, we adopted Google's inception-v3, and modified the output stage to classify 20 types of IOT devices. After creating a data set consisting of 1000 images of 20 categories, we trained our deep learning network using a transfer learning technology. As a result of the experiment, we achieve 94.5% top-1 accuracy and 98.1% top-2 accuracy.

Propose of Elevator System for Effective Management based on IOT (IOT기반 효율적 관리를 위한 엘리베이터 시스템 제안)

  • Park, Joo-Bong;Shin, Seung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.163-167
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    • 2014
  • From Korea Elevator Safety Institute's report, the major accident factor of elevator is user's mistake, 60%. It means that the necessity of simple monitoring system. In this paper, we explain the standard of elevator safety check and the rate of accidents, then compare with old elevator managing system and new elevator managing system based on IOT technology. Also, we explain the reliability statistics of smart managing system based on expert's decision. Finally, we propose the smart managing system as the alternative method for decreasing the accident factor of elevator.

IOT-based SMEs producing standardized information system model analysis and design (IOT기반 중소기업 생산정보화시스템 표준화 모델 분석 및 설계)

  • Yoon, Kyungbae;Chang, Younghyun
    • The Journal of the Convergence on Culture Technology
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    • v.2 no.1
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    • pp.87-91
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    • 2016
  • This study is to develop a standard model in order to establish IOT production information system and to analyze the effect. Professional IT industry and SMEs that want to build a production information system can be applied to standard models to build the system more effectively. It provides ease of construction and reliability for IOT production information system with removing irrational elements, product quality and reducing production cost. In addition, it can be applied to standardize management of raw materials supply and demand aggregation processes of production and constructed a system more effectively using standard module.

Study on Development of LED Camping Light Design Based on IOT and Emotional Lighting Contents (IOT 및 감성조명 콘텐츠 기반의 LED 캠핑등 디자인 개발에 관한 연구)

  • Kim, Hee-Jun
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.332-342
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    • 2018
  • This study is aimed at suggesting information about technical choices for designing LED camping lights based on emotional lighting contents of integrated IOT and design areas which take a central role in creation and knowledge based industries and the procedure for materializing them. 'i-Light,' a portable LED camping light, is 'connected lighting' connecting men, space and emotion and a smart camping light based on IOT and emotional lighting contents. 'i-Light' has two functions. One is about lighting for adjusting color and color temperature naturally and the other is about safety for detecting harmful gases. 'i-Light' also has various emotional functions for experiencing interaction and taste of light. For the purpose, portable LED camping lights were designed, first of all, and then a highly color rendering/full-color lighting module, a smart sensor module and an IOT device platform were developed. In addition, efforts were made to establish detailed data about emotional lighting contents and to develop a Web application based on them. Finally, prototypes of portable LED camping lights were made to get a test bench and usability evaluation from related organizations. According to the results, all of 12 developed emotional lighting contents and three IOT safety sensors were suitable and prototypes were satisfactory. This paper will suggest a direction about actual technical choices for development of contents and products integrating artificial intelligence and big data and about the procedure for materializing them.