• Title/Summary/Keyword: ICT-based system

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Performance of Inter Vehicle Communication System for Cooperative Driving Service (협력주행 서비스를 위한 차량통신시스템 성능 분석)

  • Song, Yoo-Seung;Oh, Hyun-Seo
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.5
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    • pp.293-297
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    • 2014
  • ITS services are quickly evolving due to the convergence of ICT technologies. WAVE technology based on IEEE802.11p specification has been introduced for the high speed vehicle communication and applied into the transportation system for driving safety and convenience. Recently, WAVE technology as a inter vehicle communication is used for cooperative driving application. In this paper, the implemented inter vehicle communication system is introduced and suggested as a solution for V2X communication. The performance of the implemented inter vehicle communication system is tested and analyzed under various conditions.

Sensor Technology Trends of the Railroad System (철도시스템의 센서기술 동향)

  • SHIN, Duck-Ho
    • Journal of Sensor Science and Technology
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    • v.24 no.5
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    • pp.326-330
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    • 2015
  • The recent development of Sensor technology has broadened its applications to many fields of industry including railroad. The sensor technology enables the railroad system to monitor and control. This paper suggests the sensor based system design for evaluating and improving the reliability and safety of the ICT system. For this purpose, the reliability and the level of safety integrity of a general gateway have been predicted quantitatively and the supplementary design has been proposed for RAMS improvement. RAMS requirements for each life cycle stipulated in IEC 62278. RAMS activity is capable of producing significant and effective reductions in operation costs and time.

Application on Autonomous Things Monitoring System for IoT Platform of Smart City (스마트시티 IoT플랫폼 구축을 위한 자율사물 모니터링 시스템 적용성 평가)

  • Yoo, Chan Ho;Baek, Seung Cheol
    • Land and Housing Review
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    • v.11 no.1
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    • pp.103-108
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    • 2020
  • Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

Design and Implementation of Walking Activity Prediction Service for Exercise Motive (운동 동기 부여를 위한 걷기 활동량 예측 서비스 설계 및 구현)

  • Kim, Bogyeong;Lee, Cheolhyo;Kim, DoHyeun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.5
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    • pp.99-104
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    • 2016
  • The walking exercise can alleviate stress and also it can improve health fortheir lifetime. Recent development in Information and Communication Technologies (ICT) has laid the foundation for Internet of Things (IoT) to become the future technology. IoT has many applications in industry automation, security, smart homes and cities, education, health etc. In personal health-care domain, IoT is mainly used for monitoring fitness condition by observing current activity of individual. In this paper, we have proposed a novel IoT based personal wellness care system. Proposed system not only keep track of current fitness level but also provide future activity prediction based on history data along with standard recommendations. Predicted activity helps in motivating the individual to achieve the desired fitness level. Initially, we consider only walking activity for testing purpose and later, other types of activities/exercise will be captured for improved health care support.

Development of Solid Culture Medium, Bed and Growing Environment Management System for Ginseng Sprout Based on IoT (사물인터넷 기반 새싹삼용 고형배지, 베드 및 생육환경관리시스템 개발)

  • Joo, Nakkeun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.9
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    • pp.1254-1262
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    • 2021
  • Recently, the agricultural environment in Korea is rapidly changing due to the aging and decline of the agricultural population, and in order to solve these problems, it is urgently required to improve the agricultural productivity and reduce the labor force. To solve this problem, a smart farm fused with ICT technology is being proposed as an alternative. In Korea, smart farms are currently mainly used in greenhouses. In this paper, this smart farm technology is to be applied to the cultivation of sprouted ginseng. To this end, we use seedlings (about 1.0g) to grow a solid medium and bed for cultivating sprouted ginseng, a fresh ginseng that is produced in a short period of time (2~3 months) with a clean environment management technology that does not use chemical pesticides and hydroponics in a greenhouse developed. In addition, an IoT-based growth environment management system was developed to monitor the growth process of sprouted ginseng in such an environment and to control driving devices.

A Study on the Document Topic Extraction System for LDA-based User Sentiment Analysis (LDA 기반 사용자 감정분석을 위한 문서 토픽 추출 시스템에 대한 연구)

  • An, Yoon-Bin;Kim, Hak-Young;Moon, Yong-Hyun;Hwang, Seung-Yeon;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.2
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    • pp.195-203
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    • 2021
  • Recently, big data, a major technology in the IT field, has been expanding into various industrial sectors and research on how to utilize it is actively underway. In most Internet industries, user reviews help users make decisions about purchasing products. However, the process of screening positive, negative and helpful reviews from vast product reviews requires a lot of time in determining product purchases. Therefore, this paper designs and implements a system that analyzes and aggregates keywords using LDA, a big data analysis technology, to provide meaningful information to users. For the extraction of document topics, in this study, the domestic book industry is crawling data into domains, and big data analysis is conducted. This helps buyers by providing comprehensive information on products based on user review topics and appraisal words, and furthermore, the product's outlook can be identified through the review status analysis.

A Study on Characteristics and Equivalent Circuit Model of Underwater Wireless Power Transfer System by Salinity (염도에 따른 수중 무선전력전송 시스템 특성 및 등가모델 연구)

  • Lee, Jeong-Geon;Kang, Wonshil;Ku, Hyunchul
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.11
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    • pp.851-856
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    • 2018
  • In this study, we analyze the characteristics of wireless power transfer(WPT) based on magnetic resonance in an underwater environment and propose an equivalent model suitable for underwater WPT. The proposed underwater WPT equivalent model is constructed by expanding the free-space WPT T-model reflecting characteristics change according to media. Considering the water salinity, we propose a method to extract the parameters of the proposed model based on the S parameters. To verify the proposed model, a 6.78-MHz underwater WPT system was constructed and compared with the predicted power transfer efficiency of the model. As a result, it was confirmed that the proposed model predicts the variation of characteristics with an average error of less than 3 %.

Implementation of Disease Search System Based on Public Data using Open Source (오픈 소스를 활용한 공공 데이터 기반의 질병 검색 시스템 구현)

  • Park, Sun-ho;Kim, Young-kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1337-1342
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    • 2019
  • Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.

Design of Highway Accident Detection and Alarm System Based on Internet of Things Guard Rail (IoT 가드레일 기반의 고속도로 사고감지 및 경보 시스템 설계)

  • Oh, Am-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1500-1505
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    • 2019
  • Currently, as part of the ICT Smart City, the company is building C-ITS(Cooperative-Intelligent Transport Systems) for solving urban traffic problems. In order to realize autonomous driving service with C-ITS, the role of advanced road infrastructure is important. In addition to the study of mid- to long-term C-ITS and autonomous driving services, it is necessary to present more realistic solutions for road traffic safety in the short term. Therefore, in this paper, we propose a highway accident detection alarm system that can detect and analyze traffic flow and risk information, which are essential information of C-ITS, based on IoT guard rail and provide immediate alarm and remote control. Intelligent IoT guard rail is expected to be used as an intelligent advanced road infrastructure that provides data at actual road sites that are required by C-ITS and self-driving services in the long term.

Sparse Class Processing Strategy in Image-based Livestock Defect Detection (이미지 기반 축산물 불량 탐지에서의 희소 클래스 처리 전략)

  • Lee, Bumho;Cho, Yesung;Yi, Mun Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1720-1728
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    • 2022
  • The industrial 4.0 era has been opened with the development of artificial intelligence technology, and the realization of smart farms incorporating ICT technology is receiving great attention in the livestock industry. Among them, the quality management technology of livestock products and livestock operations incorporating computer vision-based artificial intelligence technology represent key technologies. However, the insufficient number of livestock image data for artificial intelligence model training and the severely unbalanced ratio of labels for recognizing a specific defective state are major obstacles to the related research and technology development. To overcome these problems, in this study, combining oversampling and adversarial case generation techniques is proposed as a method necessary to effectively utilizing small data labels for successful defect detection. In addition, experiments comparing performance and time cost of the applicable techniques were conducted. Through experiments, we confirm the validity of the proposed methods and draw utilization strategies from the study results.