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Visualization of the Intellectual Structure on the Internet of Things Focuses on the Industry 4.0 (제 4차 산업혁명 중심의 사물인터넷 지적 구조 시각화)

  • Hyaejung, Lim;Chang-Kyo, Suh
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.127-140
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    • 2022
  • With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

Performance Evaluation of Smoothing Algorithm Considering Network Bandwidth in IoT Environment (IoT 환경에서 네트워크 대역폭을 고려한 스무딩 알고리즘의 성능 평가)

  • Lee, MyounJae
    • Journal of Internet of Things and Convergence
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    • v.8 no.4
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    • pp.41-47
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    • 2022
  • Smoothing is a transmission plan that converts video data stored at a variable bit rate into a fixed bit rate. Algorithms for smoothing include CBA, which aims to minimize the number of transmission rate increases, MCBA, which minimizes the number of transmission rate changes, and MVBA algorithms that minimize the amount of transmission rate change. This paper compares the proposed algorithm with the CBA algorithm with various video data, buffer size, and performance evaluation factors as a follow-up to the proposed smoothing algorithm that minimizes (maximizes) the transmission rate increase (decrease) when the server requires more bandwidth The evaluation factors used were compared with the number of changes in the fps rate, the minimum fps, the average fps, fps variability, and the number of frames to be discarded. As a result of the comparison, the proposed algorithm showed superiority in comparing the number of fps rate changes and the number of frames discarded.

Development of an AI-based Early Warning System for Water Meter Freeze-Burst Detection Using AI Models (AI기반 물공급 시스템내 동파위험 조기경보를 위한 AI모델 개발 연구)

  • So Ryung Lee;Hyeon June Jang;Jin Wook Lee;Sung Hoon Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.511-511
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    • 2023
  • 기후변화로 동절기 기온 저하에 따른 수도계량기의 동파는 지속적으로 심화되고 있으며, 이는 계량기 교체 비용, 누수, 누수량 동결에 의한 2차 피해, 단수 등 사회적 문제를 야기한다. 이와같은 문제를 해결하고자 구조적 대책으로 개별 가정에서 동파 방지형 계량기를 설치할 수 있으나 이를 위한 비용발생이 상당하고, 비구조적 대책으로는 기상청의 동파 지도 알림 서비스를 활용하여 사전적으로 대응하고자 하나, 기상청자료는 대기 온도를 중심으로 제공하고 있기 때문에 해당서비스만으로는 계량기의 동파를 예측하는데 필요한 추가적인 다양한 변수를 활용하는데 한계가 있다. 최근 정부와 공공부문에서 22개 지역, 110개소 이상의 수도계량기함내 IoT 온도센서를 시범 설치하여 계량기 함내의 상태 등을 확인할 수 있는 사업을 수행했다. 전국적인 계량기 상태의 예측과 진단을 위해서는 추가적인 센서 설치가 필요할 것이나, IoT센서 설치 비용 등의 문제로 추가 설치가 더딘 실정이다. 본 연구에서는 겨울 동파 예방을 위해 실제 온도센서를 기반으로 가상센서를 구축하고, 이를 혼합한 하이브리드 방식으로 동파위험 기준에 따라 전국 동파위험 지도를 구축하였다. 가상센서 개발을 위해 독립변수로 위경도, 고도, 음·양지, 보온재 여부 및 기상정보(기온, 강수량, 풍속, 습도)를 활용하고, 종속변수로 실제 센서의 온도를 사용하여 기계학습 모델을 개발하였다. 지역 특성에 따라 정확한 모델을 구축하기 위해 위치정보 및 보온재여부 등의 변수를 활용하여 K-means 방법으로 군집화 하였으며, 각 군집별로 3가지의 기계학습 회귀모델을 적용하였다. 최적의 군집 수를 검토한 결과 4개가 적정한 것으로 판단되었다. 군집의 특성은 지역별 구분과 유사한 패턴을 보이며, 모든 군집에서 Gradient Boosting 회귀모델을 적용하는 것이 적합한 것으로 나타났다. 본 연구에서 개발한 모델을 바탕으로 조건에 따라 동파 예측 알람서비스에 실무적으로 활용할 수 있도록 양호·주의·위험·매우위험 총 4개의 기준을 설정하였다. 실제 본 연구에서 개발된 알고리즘을 국가상수도정보 시스템에 반영하여 테스트 수행중에 있으며, 향후 지속 검증을 할 예정에 있다. 이를 통해 동파 예방 및 피해 최소화, 물절약 등 직간접적 편익이 기대된다.

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Development of a pipe burst detection model using large consumer's smart water meter and pressure data (대수용가 스마트미터와 수압 데이터를 이용한 소블록 내 관 파손사고 감지모델 개발)

  • Kyoung Pil Kim;Wan Sik Yu;Shin Uk Kang;Doo Yong Choi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.521-521
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    • 2023
  • 지방상수도의 관 파손사고 감지 및 누수관리 방법에는 블록시스템 구축을 통한 소블록별 야간최소유량 감시방법이 가장 대표적이다. 야간최소유량은 새벽 2시와 4시 사이의 인구 활동 비율이 가장 낮은 새벽 시간대에 소블록에 공급된 유량을 의미하며, 대부분 유량 성분은 누수량일 것이라는 가정에서 출발한다. 그러나 아파트 중심의 주거 형태를 보이는 도심지의 경우, 새벽 시간대에도 다량의 물수요가 비정기적으로 발생하고 있어 관망의 이상 여부를 감시하기 위한 관리기준으로서 야간최소유량을 이용하기에는 높은 일간 변동성에 따른 한계가 있다고 할 수 있다. 즉, 야간최소유량은 관 파손사고 발생의 감시보다는 관로 연결 또는 급수전 분기 부위에서 발생하는 미량의 누수가 수개월에 걸쳐 누적되는 장기추세를 분석하여 누수탐사반의 투입 시점을 결정하기 위한 근거를 제시하기 위한 목적으로 사용되며, 아직까지 관 파손사고의 발생은 자체적인 감지보다는 민원에 의해 인지되는 경우가 많다. 최근, 스마트관망 구축사업(SWM) 등을 통해 관 파손 및 누수 감지를 위한 청음식 누수감지센서가 소블록 내 도입되고 있으나, 초기 시설투자에 큰 비용이 수반되며 주변 소음과 배터리 전원방식의 한계로 인하여 새벽 시간대에만 분석이 제한적으로 적용되는 경우가 많아 이 역시도 상시적인 관 파손사고의 감시기술이라 보기는 어렵다. 본 연구에서는 소블록 유입점에서의 유량·압력과 소블록 내에 설치된 대수용가 스마트미터, 그리고 사고감지를 위한 수압계 사이의 평상시 수리적 균형을 학습한 DNN(Deep Neural Network) 모델을 이용하여 관 파손사고를 실시간 감지하는 모델 개발연구를 수행하였다. 모델은 관 파손사고 감지를 위한 수압계의 최적 위치와 대수를 결정하기 위한 모듈과 관 파손사고 감지모듈로 구성되며, 1개 소블록 Test-Bed를 구축하여 모델을 생성하고 PDD 관망해석 모델을 통해 생성된 가상의 사고에 대한 감지 여부로서 개발 모델의 감지성능을 평가하였다.

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Performance Evaluation of Smoothing Algorithm Considering Network Bandwidth in IoT Environment (IoT 환경에서 가용 전송률을 고려한 스무딩 알고리즘의 성능 평가)

  • MyounJae Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.11-17
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    • 2023
  • Smoothing is to creating a transmission plan consisting of sections of frames that can be sent at the same transmission rate for compressed and stored video data. Various algorithms have been studied for the smoothing to minimize the number of transmission rate changes, the number of transmission rate changes, and the amount of transmission rate increase. This study evaluates the performance of a smoothing algorithm that minimizes the increase in transmission rates and maximizes the increase in transmission rates when the transmission rate is required to maximize the excess bandwidth to be secured by the server in an environment with limited server bandwidth. The available transmission rates and buffer sizes available in the server are set in various ways and evaluated by the number of fps changes, the minimum fps, the average fps, and fps variability. As a result of the comparison, the proposed algorithm showed excellent average fps and fps variability.

A Literary Study on the Management of the JeongJaGak(丁字閣, T shaped building) of the Joseon Royal Tombs in the Late Joseon Dynasty - Focusing on the JeongJaGak damage record of Gakneung Suri Deungnok(Records relating to the repair of royal tombs, 1675-1713) - (조선 후기 왕릉 정자각 관리에 대한 문헌적 고찰 -『각릉수리등록(各陵修理謄錄, 1675-1713년)』의 정자각 훼손기록을 중심으로-)

  • Hong, Eun-Ki;Hwang, Jong-Kook;Chang, Hun-Duck
    • Journal of architectural history
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    • v.32 no.2
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    • pp.37-48
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    • 2023
  • A literature study was conducted on the management of the pavilion of the royal tomb in the late Joseon Dynasty, focusing on "Gakneung Suri Deungnok(Records relating to the repair of royal tombs)". This study analyzed the royal tomb management system, organized the types of damage identified in the building, and examined how the damage status was recorded by type. In the above, the records related to the 1675~1713 repair of three JeongJaGak(Geonwonneung, Sungneung, and Mokneung), which are registered as state-designated cultural properties, are summarized in three aspects: management system, damage status, and expression words. The results of the study are as follows. First, the royal tomb pavilion was regularly inspected by Observator(觀察使) in spring and autumn, and Surunggwan(守陵官) every 5th, and Servant(守僕) regularly inspected every day and night, and also inspected and reported emergency cases of natural disasters or unexpected damage. Second, the damage status of each building was continuously observed and reported for the continuous maintenance of the buildings in the royal tomb. A total of 75 records of damage to the three royal tombs' pavilion were found to have been most frequently inspected, including 19 cases (25.3%), 14 cases (18.7%), 23 cases (30.7%) of the roof, and 19 cases (25.3%) of the roof. Third, the expression of the damage status is confirmed in various ways, such as separation, separation, burst, damage, excitation, moisture, leakage, and exfoliation. Among them, the main damage records were confirmed due to the separation of the base from the peeling, the furniture, cracks, leaks, leaks in the roof, and the collapse of the roof was able to check the damage records.

Evaluation of Residual Strength of CFRP Pressure Vessel After Low Velocity Impact (저속 충격 하중을 받은 탄소섬유강화 복합재 압력용기의 잔류강도 저하 평가)

  • Park, Jae-Beom;Kim, Dong-Ryun;Kim, Hyung-Geun;Hwang, Tae-Kyung
    • Composites Research
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    • v.21 no.3
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    • pp.9-17
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    • 2008
  • In this paper, the low velocity impact characteristics of filament winding CFRP pressure vessel was investigated using numerical and experimental methods. The cylinder part of CFRP vessel was impacted using triangular shape impactor which simulated the sharp edge of dropping tools and impact response behavior of CFRP was reviewed. The mechanical behavior, such as deformation and stress distribution, were also predicted by explicit finite element method and the validity of the model was investigated. For the quantitative evaluation of the residual strength of the pressure vessel after impact, a series of the ring specimens was cut from the impacted vessel and its burst pressure was measured by hydraulic pressure hoop tension test. As the results, the relationship between the residual strength degradation and the impact energy was successively obtained and a useful methodology to evaluate quantitatively the impact damage tolerance of CFRP pressure vessel was established.

Reliability Evaluation of a Composite Pressure Vessel (복합재 압력 용기의 신뢰도 예측)

  • Hwang Tae-Kyung;Park Jae-Beom;Kim Hyoung-Geun;Doh Young-Dae;Moon Soon-Il
    • Composites Research
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    • v.19 no.3
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    • pp.7-14
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    • 2006
  • In this paper, an integrated probabilistic strength analysis was conducted to predict the reliability of a composite pressure vessel under inner pressure loading condition. As a probabilistic strength analysis, the probabilistic progressive failure model consisting of progressive failure model and Monte Carlo simulation was incorporated with a commercial FEA code, ABAQUS Standard, to perform the probabilistic failure analysis of composite structure which has a complex shape and boundary conditions. As design random variables, the laminar strengths of each direction were considered. Finally, from probabilistic strength analysis, the scattering of burst pressure could be explained and the reliability of composite pressure vessel could be obtained for each component. In case of composite structures in mass production, the effects of uncertainties in material and manufacturing on the performance of composite structures would apparently become larger. So, the probabilistic strength analysis is essential for the structural design of composite structures in mass production.

Natural Aging Effect on the Fiber Tensile Strength of Carbon Epoxy Pressure Vessel (자연 노화에 따른 카본 에폭시 압력용기의 섬유 인장 강도 변화)

  • Hwang, Tae-Kyung;Park, Jae-Byum;Kim, Hyoung-Geun;Doh, Young-Dae
    • Composites Research
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    • v.20 no.2
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    • pp.1-9
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    • 2007
  • To evaluate and investigate the aging characteristics and the structural service lifetime of the CFV(carbon fiber pressure vessel), natural aging tests were carried out using the CFVs, which had been placed and aged at outdoor and indoor laboratories for 10 and 15 years, respectively. To obtain the probabilistic characteristics of ageing characteristics in aged CFVs, inner pressure loading test was conducted with ring specimens taken from aged CFVs. And, to observe the interface morphology of aged CFVs, the micro-photographs were taken by SEM microscope and the fractured interfaces between the carbon fiber and the matrix resin were scrutinized. Based on the Weibull parameters of the tensile failure strain of aged CFVs, the degradation of the 10 and the 15 year aged CFV occur by 19% and 23%, respectively, and the effect of the placement, whether being placed inside the laboratory or not, is not so significant. However, the outer layer protection, such as painting, is found very advantageous to prevent CFV from aging.

Smoothing Algorithm Considering Server Bandwidth and Network Traffic in IoT Environments (IoT 환경에서 서버 대역폭과 네트워크 트래픽을 고려한 스무딩 알고리즘)

  • Lee, MyounJae
    • Journal of Internet of Things and Convergence
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    • v.8 no.1
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    • pp.53-58
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    • 2022
  • Smoothing is a transmission plan that converts video data stored at a variable bit rate into a constant bit rate. In the study of [6-7], when a data rate increase is required, the frame with the smallest increase is set as the start frame of the next transmission rate section, when a data tate decrease is required. the frame with the largest decrease is set as the start frame of the next transmission rate section, And the smoothing algorithm was proposed and performance was evaluated in an environment where network traffic is not considered. In this paper, the smoothing algorithm of [6-7] evaluates the adaptive CBA algorithm and performance with minimum frame rate, average frame rate, and frame rate variation from 512KB to 32MB with E.T 90 video data in an environment that considers network traffic. As a result of comparison, the smoothing algorithm of [6-7] showed superiority in the comparison of the minimum refresh rate.