• 제목/요약/키워드: Data Collecting

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광섬유센서를 이용한 쓰레기수송관로 유지관리 모니터링에 대한 연구 (The Study about Control Monitoring of Fiber Optic Sensor on Vacuum Pipeline for Waste Collecting System)

  • 이준영;김채석;김봉규
    • 한국유체기계학회 논문집
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    • 제13권2호
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    • pp.54-58
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    • 2010
  • The most recent, Vacuum Pipeline for Waste Collecting System, to collect MSW(Municipal Solid Waste) efficiently, is used environmental preservative, to emit less air pollution, in New City. However, it is difficult to monitor broken pipe and filled mass of Waste, because Vacuum Pipeline is laid underground. Therefore, FBG, optical fiber sensor, is used to inspect the temperature change and longitudinal strain to take proper action for unusual situation. I have need to accumlate sensor data of district control. I hope to be used Vacuum Pipeline more than 30 years in New City.

한국형 고속전철용 판토그라프의 거동 특성과 열차속도와의 상관관계와 경향 (Relation and Variation Trend between the Behavior of the Pantograph vs. the Vehicle Running Speed in Korean High Speed Train)

  • 목진용;박춘수;조용현;최강윤;김기환
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.170-176
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    • 2003
  • The pantograph for Korean High Speed Train was developed and had been evaluating by through "G7- R&D for home grown high speed train technology". In this study, a relation in mechanical aspect between the train running speed and the current collecting performance of the pantograph is conducted.'for this study, a measuring system for current collecting performance and mechanical characteristics is developed and installed on the prototype Korean High Speed Train, and measurement is conducted while the train runs on the test track. The measuring system is composed of video monitoring system and telemetry & data processing unit. It monitors whether the hazard behavior in the pantograph is occurs or not, and measures acceleration and vertical contact force between the pan head and catenary. Through this study, evaluation of a mechanical vibration characteristics and trend of the pantograph and a interface performance of pantograph - catenary up to 200㎞/h train speed are facilitated.

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소셜 네트워크 정보 수집 및 분석 시스템에 관한 연구 (A Study on the System for Collecting and Analyzing of Social Network Information)

  • 강민식;송은지
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 추계학술대회
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    • pp.955-956
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    • 2013
  • 최근 블로그, 카페 및 SNS(Social Network Service)와 같이 다양한 소셜 네트워크 환경을 통해 사용자 자신의 의견 등을 표현하고 있다. 이에 이러한 데이터를 수집 분석하는 시스템을 개발하는 업체에서는 소셜 네트워크 상의 정보를 수집하여 데이터의 패턴을 분석하여 마케팅 등에 이용하는 기술을 제안하고 있다. 그러나, 기존 기술에서는 소셜 네트워크 상에 존재하는 다양한 유형의 문서나 정보를 모두 수용할 수 없어서 그 분석에 제한이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 소셜 네트워크 정보를 실시간으로 수집 및 분석함에 있어서, 소셜 네트워크상에 존재하는 다양한 유형의 문서나 정보를 모두 수용할 수 있고, 이용자의 필요에 따라 분석 결과를 제공할 수 있는 소셜 네트워크 정보 수집 및 분석 시스템을 제공하고자 한다.

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Periodic Biometric Information Collection Interface Method for Wearable Vulnerable Users

  • Lee, Taegyu
    • International journal of advanced smart convergence
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    • 제10권3호
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    • pp.33-40
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    • 2021
  • Recently, wearable computers equipped with various biosensors such as smart watches, smart bands, and smart patches that support daily health management of users as well as patients have been released. Users of wearable computers such as smart watches face various difficulties in performing biometric information processes such as data sensing, collection, transmission, real-time analysis, and feedback in a weak wireless and mobile biometric information service environment. In particular, the biometric information collection interface is an important basic process that determines the quality and performance of the entire biometric information service. So far, research has focused on sensing hardware and logic. This study intensively considers the interface method for effectively sensing and collecting raw biometric information. In particular, the process of collecting biometric information is designed and analyzed from the perspective of periodicity. Therefore, we propose an efficient and stable periodic collection method.

개인정보처리방침의 데이터를 활용한 개인정보보호 현황 분석 (Analysis of Personal Information Protection Circumstances based on Collecting and Storing Data in Privacy Policies)

  • 이재근;강상욱;염흥열
    • 정보보호학회논문지
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    • 제23권4호
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    • pp.767-779
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    • 2013
  • 개인정보보호 분야는 타 분야에 비해 통계 및 현황에 대한 정보가 부족하다. 또한 개인정보보호 분야는 정보화, 정보보안, 법 등 어느 분야에도 일방적으로 속하지 않아 부수적으로만 실태 파악이 되고 있어 앞으로도 한계가 있을 것이다. 본 논문에서는 약 11만 개의 개인정보처리자가 공개하고 있는 개인정보 처리방침을 이용하여 방대한 양의 데이터를 수집하고 저장하여 이를 분석할 수 있는 방안을 제시하고 실제 결과를 보여준다. 제시된 방안은 데이터의 품질이 보장되고 시간과 비용을 절감할 수 있어 기존 방식에 비해 결과에 대한 정확성과 현황 파악에 대한 신속성에 있어 유리하다. 또한 다양한 분석이 가능하여 개인정보보호에 대한 실태 파악의 새로운 돌파구 역할을 할 수 있다. 본 논문에서는 개인정보보호와 빅데이터 분야의 접목을 통해 개인정보보호의 발전 방안을 제시하고 있다.

차세대 디지털 적산전력계에 기반한 배전원격관리시스템 설계 및 프로그램 개발 (Distribution Remote Management System Design and Program Development Based on ADWHM(Advanced Digital Watt-Hour Meter))

  • 하복남;고윤석
    • 대한전기학회논문지:전력기술부문A
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    • 제54권4호
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    • pp.185-192
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    • 2005
  • This paper proposes a DRMS(Distribution Remote Management System) which can enhance highly the economics of automatic metering system and the power quality supplied to the electric customer improving the efficiency of the meter reading, voltage management and load management work by realizing the remote meter reading, the remote voltage management and the remote load management based on the ADWHM(Advanced Digital Watt Hour Meter). The DRMS is designed so that the voltage management and load management work in remote site can be processed by collecting the voltage pattern and current pattern as well as watt hour data from all ADWHMs one time every month regularly or from special ADWHMS several time irregularly, A new on-line voltage and load management strategy based on the ADWHM is designed by analyzing the existing voltage management and load management process. Also, DRMS is designed so that watt-hour data, voltage pattern data, load pattern data and power factor data can be collected selectively according to the selection of user to assist effectively the methodology. Remote management program and database of the DRMS are implemented based on Visual C++, MFC and database library of MS. Also, DRMS is designed so as to communicate with the ADWHM using RS232C-TCP/IP converter and ADSL. The effectiveness of the remote metering function is proven by collecting and analyzing the data after ADWHMs installed in any site. The developed strategy and program also is verified through the simulation of voltage management and load management.

농업환경정보 수집을 위한 아두이노 기반 멀티 센서 시스템 개발 및 적용 - 경기 여주시 소재 양돈농가를 사례로 - (Development and Application of Arduino Based Multi-sensors System for Agricultural Environmental Information Collection - A Case of Hog Farm in Yeoju, Gyeonggi -)

  • 한정헌;박종준
    • 농촌계획
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    • 제25권2호
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    • pp.15-21
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    • 2019
  • The agricultural environment is changing and becoming more advanced due to the influence of the 4th Industrial Revolution. From the basic plan of Rural Informatics to the current level of 2nd generation smart farms aimed at improving productivity using Big data, cloud network and more IoT technology. We are continuing to provide support and research and development. However, many problems remain to be solved in order to supply and settle smart farms in Korea. The purpose of this study is to provide a method of collecting and sharing data on farming environment and to help improve the income and productivity of farmers based on collected data. In the case of hog farm, the multiple sensors for environmental data like temperature, humidity and gases and the network environment for connecting the internet were established. The environment sensor was made using the ESP8266 Node MCU board as micro-controller, DHT22 sensor for temperature and humidity, and MQ series sensors for various gases in the hog pens. The network sensor was applied experimentally for one month and the environmental data of the hog farm was stored on a web database. This study is expected to raise the importance of collecting and managing the agricultural and environmental data, for the next generation farmers to understand the smart farm more easily and to try it by themselves.

A Study on Personal Information Protection amid the COVID-19 Pandemic

  • Kim, Min Woo;Kim, Il Hwan;Kim, Jaehyoun;Ha, Oh Jeong;Chang, Jinsook;Park, Sangdon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권12호
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    • pp.4062-4080
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    • 2022
  • COVID-19, a highly infectious disease, has affected the globe tremendously since its outbreak during late 2019 in Wuhan, China. In order to respond to the pandemic, governments around the world introduced a variety of public health measures including contact-tracing, a method to identify individuals who may have come into contact with a confirmed COVID-19 patient, which usually leads to quarantine of certain individuals. Like many other governments, the South Korean health authorities adopted public health measures using latest data technologies. Key data technology-based quarantine measures include:(1) Electronic Entry Log; (2) Self-check App; and (3) COVID-19 Wristband, and heavily relied on individual's personal information for contact-tracing and self-isolation. In fact, during the early stages of the pandemic, South Korea's strategy proved to be highly effective in containing the spread of coronavirus while other countries suffered significantly from the surge of COVID-19 patients. However, while the South Korean COVID-19 policy was hailed as a success, it must be noted that the government achieved this by collecting and processing a wide range of personal information. In collecting and processing personal information, the data minimum principle - one of the widely recognized common data principles between different data protection laws - should be applied. Public health measures have no exceptions, and it is even more crucial when government activities are involved. In this study, we provide an analysis of how the governments around the world reacted to the COVID-19 pandemic and evaluate whether the South Korean government's digital quarantine measures ensured the protection of its citizen's right to privacy.

Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images

  • Jong-Hyun Kim
    • 한국컴퓨터정보학회논문지
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    • 제28권4호
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    • pp.65-73
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    • 2023
  • 본 논문에서는 콘크리트 균열 이미지 데이터셋을 효율적으로 얻기 위한 합성곱 신경망 네트워크 학습 기반의 데이터 증강기법을 제안한다. 실제 콘크리트 균열 이미지는 정형화된 형태가 없고 복잡한 패턴을 지니고 있어 얻기 어려울 뿐만 아니라, 데이터를 확보할 때 위험한 상황에 노출될 우려가 있다. 이러한 상황에 노출된 데이터셋 수집 문제를 본 논문에서는 벡터와 두께 기반의 데이터 증강 기법을 통해 비용과 시간적 측면에서 효율적으로 해결한다. 또한 제안한 방법을 효율성을 입증하고자 U-Net기반의 균열 검출을 통해 다양한 장면에서 실험을 진행했고, IoU 정확도로 측정했을 때 모든 장면에서 성능이 향상되었다. 콘크리트 균열 데이터를 증강하지 않았을 경우 잘못 예측된 경우의 비율이 약 25%였으나, 우리의 방법을 통해 데이터 증강을 했을 경우 잘못 예측된 비율이 3%까지 감소하였다.

탄소중립을 위한 교통분야 마이데이터 활용의 법제도적 개선 과제 (Legal and Institutional Improvement Tasks for Utilizing Mydata in the Transportation Sector for NetZero)

  • 이지연;고민지;손승녀
    • 산업진흥연구
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    • 제9권1호
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    • pp.47-55
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    • 2024
  • 교통분야에서 탄소중립 달성을 위한 전략으로 자동차 총 주행거리 감축과 승용차 교통량 감축을 제시하고 있다. 이를 위해서는 대중교통 활성화를 목표로 MaaS 서비스를 적극적으로 추진하여야 한다. MaaS를 추진하기 위해서는 개인의 이동에 대한 이용수단, 경로뿐만 아니라, 개인의 이용 수단의 전환 등 개인별 누적 이동 데이터가 필요하다. 하지만 국내에서는 개인의 이동에 대한 데이터를 수집하고 이를 활용하는데 있어서 법적인 한계가 존재한다. 2023년 개정된 개인정보보호법에 개인정보 전송요구권이 신설됨에 따라 개인의 이동에 대한 데이터를 수집하고 활용하기 위한 법률이 마련되었지만, 시행령, 세부 규칙, 지침, 가이드라인 등이 마련되어야 하며, 마이데이터수집을 위한 데이터 형식 및 전송체계의 표준화가 선행될 필요가 있다.