• Title/Summary/Keyword: 데이터 신뢰성

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자율운항선박 데이터 신뢰성 확보를 위한 선박 데이터 품질 관리 방안 연구

  • 전주영;임정빈
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.107-108
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    • 2023
  • 자율운항선박 (Maritime Autonomous Surface Ship, MASS) 관련 기술은 전 세계적으로 활발히 개발 중이다. 이와 더불어 선박정보 통신 기술(ICT)을 활용한 선박 관리에 대한 수요가 증가하면서 선박 데이터의 신뢰성 확보가 더욱 중요해지고 있다. 선박에서 사용하는 데이터는 점차 복잡해지고 용량이 증가함에 따라 체계적인 관리 방안이 필요하다. 본 연구에서는 주요 선급에서 발간한 기술자료와 표준동향 분석 및 전문가 논의를 통해 신규 표준 아이템을 도출하였다. 이를 기반으로 ISO 선박 및 해양기술 분과에 제안한 선박 데이터 신뢰성 확보를 위한 데이터 품질 관리 표준 제안한 결과를 소개하고자 한다. 신규 제안한 표준을 통해 국내 조선소 및 기업에서 개발한 선박 성능 분석 및 모니터링 시스템에 대한 품질 검증에 활용할 수 있을 것으로 예상된다.

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Platform of ICT-based environmental monitoring sensor data for verifying the reliability (ICT 기반 환경 모니터링 센서 데이터의 신뢰성 검증을 위한 플랫폼)

  • Chae, Minah;Cho, Jae Hyuk
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.23-31
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    • 2021
  • In recent years, in the domestic industry, personal damage has occurred due to sensor malfunction and the emission of harmful gases. But there is a limit to the reliability verification of sensor data because the evaluation of environmental sensors is focused on durability and risk tests. This platform designed a sensor board that measures 10 major substances and a performance verification system for each sensor. In addition, the data collected by the sensor board was transferred to the server for data reliability evaluation and verification using LoRa communication, and a prototype of the sensor data platform was produced to monitor the transferred data. And the collected data is analyzed and predicted by using machine learning techniques.

Delay Improvement Greedy Forwarding in Low-Duty-Cycle Wireless Sensor Networks (로우듀티사이클 환경을 고려한 무선센서네트워크에서 데이터 전송지연을 향상한 그리디 포워딩)

  • Choe, Junseong;Le, Huu Nghia;Shon, Minhan;Choo, Hyunseung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.609-611
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    • 2012
  • 논문에서는 로우듀티사이클 환경을 고려하여 목적지까지 데이터 전송의 신뢰성뿐만 아니라 낮은 데이터 지연도 보장하는 DIGF (Delay Improvement Greedy Forwarding) 기법을 제안한다. 초기에 제안된 그리디 포워텅 기법들은 무선링크가 갖는 비신뢰성 및 비대칭성의 문제점을 해결하기 위해 데이터 전송 성공률과 에너지 효율을 높이는 기법이 제안되었다. 하지만 많은 그리디 포워텅 기법들은 노드들이 데이터를 송수신하기 위해 대기하고 있는 수신대기상태로 인한 많은 에너지 소모를 고려하지 않아 네트워크 라이프타임을 감소시킨다. 이러한 문제점을 해결하고자 제안기법인 DIGF는 무선링크의 비신뢰성과 비대칭성을 고려할 뿐만 아니라 로우듀티사이클 환경을 고려한다. 또한 로우듀티사이클 환경을 고려할 때 발생되는 높은 수면지연성 (Sleep latency) 을 해결하기 위한 알고리즘을 제안하여 낮은 전송지연과 신뢰성 있는 데이터 전송을 보장한다.

Data and reliability evaluation in industry (산업체에서의 데이터와 신뢰성평가)

  • Baik, Jai-wook
    • Industry Promotion Research
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    • v.2 no.1
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    • pp.1-7
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    • 2017
  • In the case of manufacturing companies, various types of data are collected. Many of these data can be used as useful information for product reliability evaluation. In this study, we first look at data that can be collected by a manufacturing company and related to products, technology, finance, and customers. Next, we will look at the company's business management system, scientific journals, test and marketing survey data, etc., as sources of data. Next, look at what kind of data is collected over the product life cycle to evaluate the reliability of the product. In the development stage of the product, reliability test is performed for each component, and reliability data is collected by performing reliability test at the subsystem and system level. On the other hand, at the manufacturing stage, data on the functional test and the design change test of the product are collected, and at the field stage, the problem of the product is detected in the field and collected in the form of data. Finally, let's look at what you need to do to make a reasonable analysis later in your data collection.

One-stop Platform for Verification of ICT-based environmental monitoring sensor data (ICT 기반 환경모니터링 센서 데이터 검증을 위한 원스탑 플랫폼)

  • Chae, Minah;Cho, Jae Hyuk
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.32-39
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    • 2021
  • Existing environmental measuring devices mainly focus on electromagnetic wave and eco-friendly product certification and durability test, and sensor reliability verification and verification of measurement data are conducted mainly through sensor performance evaluation through type approval and registration, acceptance test, initial calibration, and periodic test. This platform has established an ICT-based environmental monitoring sensor reliability verification system that supports not only performance evaluation for each target sensor, but also a verification system for sensor data reliability. A sensor board to collect sensor data for environmental information was produced, and a sensor and data reliability evaluation and verification service system was standardized. In addition, to evaluate and verify the reliability of sensor data based on ICT, a sensor data platform monitoring prototype using LoRa communication was produced, and the test was conducted in smart cities. To analyze the data received through the system, an optimization algorithm was developed using machine learning. Through this, a sensor big data analysis system is established for reliability verification, and the foundation for an integrated evaluation and verification system is provide.

Design of Data Quality Management System Optimized in Big Data (빅데이터 환경에서 최적화된 데이터 품질관리 시스템 설계)

  • An, Ha-Chul;Park, Seok-Cheon;Kim, Jung-Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1214-1217
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    • 2013
  • 오늘날 스마트 폰의 보급이 보편화 되면서 모바일 시장이 크게 성장하게 되었다. 또한 그만큼 많은 사용자들이 이용함에 따라 더 많은 양의 콘텐츠를 제공을 해야 하기 때문에 데이터는 점점 증가 할 수밖에 없는 상황이다. 하지만 잘못된 데이터 정보를 마케팅 같은 곳에 활용하여 피해를 보기 때문에 잘못된 데이터와 신뢰성 데이터를 구분을 하여 신뢰성 있는 데이터를 사용자에게 제공해야 한다. 따라서 본 논문에서는 이러한 문제점을 해결하고자 빅데이터에서 추출하는 과정에서 데이터 품질관리를 실시하고 저장된 데이터도 품질관리를 함으로써 신뢰성 있는 데이터를 생성 및 관리 할 수 있도록 하는 빅데이터 환경에서 최적화된 데이터 품질관리 시스템을 설계한다.

Study of Trust Bigdata Platform (신뢰성 빅데이터 플렛폼의 연구)

  • Kim, Jeong-Joon;Kwak, Kwang-Jin;Lee, Don-Hee;Lee, Yong-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.6
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    • pp.225-230
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    • 2016
  • Recently, Web has arisen large amount of data that to the development of the network and the Internet. In order to process it appeared that Big Data technology. Big Data technologies have been studied aiming a multifaceted and accurate analysis using existing regular data and a variety of data social data. But social data does not have the expertise and objectivity. And such manipulation and concealment and distortion of information have been raised troubling. Thus, this paper proposes for trust big data platform and will be described in detail. The big data platform proposed in this paper consists of data refiner, Data Analyzer, co-truster, visualizer, searcher, etc.

Bayesian Estimation of System & Component Reliability Using Masked Data (마스크 데이터를 이용한 베이지안 추정)

  • 김종걸;박창규
    • Proceedings of the Korean Reliability Society Conference
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    • 2000.11a
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    • pp.353-362
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    • 2000
  • 다양한 컴포넌트들로 구성된 시스템의 수명 데이터는 시스템 컴포넌트들의 신뢰성을 추정하는데 많이 사용된다. 하지만 비용이나 고장진단의 기술적 문제 때문에 시스템 고장의 정확한 원인을 밝혀내기는 어렵다. 시스템이나 컴포넌트의 수명 데이터 중 정확한 고장원인을 알 수 없는 데이터를 마스크 데이터라 한다. 본 연구는 마스크데이터와 베이지안 추정의 연구방향을 살펴보고, 그리고 고장률의 비정보 사전분포를 이용하여, 컴포넌트가 직렬로 구성된 시스템의 수명 데이터가 마스크 데이터를 갖는 지수분포의 시스템 컴포넌트 고장률을 추정한다.

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The Implementation of Improved Reliability Algorithm for Asynchronous Data Transmission in MOST Network (MOST 네트워크에서 비동기 데이터 전송의 신뢰성 향상 알고리즘 구현)

  • Kim, Chang-Young;Park, Yoo-Hyun;Jeon, Young-Joon;Yu, Yun-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.12
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    • pp.2635-2642
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    • 2012
  • MOST(Media Oriented Systems Transport) is a network protocol for vehicle multimedia, where it guarantees large bandwidth and reliability. However, previous MOST device utilized I2C or I2S communication method to data manage or transfer, Bandwidth of MOST have increased and additional equipments are added to one device, requiring a larger form of bandwidth communication method. Therefore, this research suggests of the methods in improving the efficiency of asynchronous data transfer, and suggest an algorithm, which will improve the reliability.

Comparison of Failure Rates in Measuring Software Reliability (소프트웨어 신뢰도 측정에서 고장률 비교)

  • Jung, Hye Jung
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.15-20
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    • 2022
  • This research studied the evaluation of reliability among the software quality characteristics: suitability, reliability, usability, portability, maintainability, performance efficiency, security, and compatibility. It proposes a quantitative evaluation of reliability in the measurement of software quality. This study introduces a method for measuring the failure rate included in maturity during reliability evaluation, which is one of the characteristics of software quality, and is a study with experimental data on how the failure rate changes depending on the form of failure data. Focusing on software testing, the failure rate was measured and compared according to the type of failure data by applying it to the software reliability growth model, focusing on the number of failures per day. The failure rate was measured around the failure time found through the 6-day test, and the failure rate was compared with the failure rate proposed by the international standard ISO/IEC 25023 using the measurement results, and the application was reviewed according to the data type.