• Smart Structures and Systems
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• 제26권5호
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• pp.559-573
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• 2020

One of the powerful data management tools is Building Information Modeling (BIM) which operates through obtaining, recalling, sharing, sorting and sorting data and supplying a digital environment of them. Employing SHM, a BIM in monitoring systems, would be an efficient method to address their data management problems and consequently optimize the economic aspects of buildings. The recording of SHM data is an effective way for engineers, facility managers and owners which make the BIM dynamic through the provision of updated information regarding the occurring state and health of different sections of the building. On the other hand, digital transformation is a continuous challenge in construction. In a cloud-based BIM platform, environmental and localization data are integrated which shape the Internet-of-Things (IoT) method. In order to improve work productivity, living comfort, and entertainment, the IoT has been growingly utilized in several products (such as wearables, smart homes). However, investigations confronting the integration of these two technologies (BIM and IoT) remain inadequate and solely focus upon the automatic transmission of sensor information to BIM models. Therefore, in this composition, the use of BIM based on SHM and IOT is reviewed and the economic application is considered.

• 한국지리정보학회지
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• 제23권4호
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• pp.234-252
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• 2020

계측기기만을 이용한 현장 상황대응의 재래적 방식에서 벗어나 온라인 '첨단기술(Hi-Technology)'과 오프라인의 '직관적 경험(Hi-Experience)'을 융합한 하이브리드(Hybrid) 재해관리 기법의 유효성을 검증하였다. 이를 위해 대상 현장에 매설된 상시 계측기 GNSS(RTK) 5대를 지상기준점(Ground Control Point, GCP)으로 사용하였다. 또한, 인근 지점에 크기 불변 특징점(Scale Invariant Feature Transform, SIFT) 4곳을 추출하여 검사점(Control Point, CP)으로 활용하였다. 이를 통해 현장 실측치와 드론기반 3차원 측정 결과치와의 정확도를 각 좌표값의 차이의 평균제곱근오차(Root Mean Square Error)를 이용하여 분석하였다. 결과적으로 드론에 의해 획득된 3차원 수치 모델을 정밀하게 후처리 분석함으로써 피사체의 모든 지형지물이 변위추적의 객체로 활용할 수 있음을 확인할 수 있었다. 포인트 클라우드(Point cloud) 기반의 3-D 수치 영상은 현장 그대로의 모습을 초실감, 고정도 가시화 함으로서 직관적인 경험에 공감할 수 있는 친화적인 솔루션을 제공하며, 단순 신호처리 기반의 계측기기 하드웨어 중심의 재해관리를 탈피해 인명피해/예산 절감 등 비탈면 유지관리에 최적의 플랫폼을 제공할 수 있을 것으로 판단된다. 특히, 특정 위치에 설치된 특정지점(Pin-point) 센서에 의존한 국지적인 정보의 한계를 뛰어넘어 기술생산 중심에서 재난관리의 중심으로 신속하게 전환될 수 있는 매개체가 될 것으로 기대한다.

• 한국ITS학회 논문지
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• 제21권4호
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• pp.190-211
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• 2022

본 연구는 자율주행차량의 필수 센서로 인식되는 LiDAR로 도로표지를 검지할 시, 도로표지의 모양과 높이 등이 검지성능에 주는 영향에 대하여 알아보았다. 연구를 위해 면적과 재질은 동일하고, 모양은 서로 다른 도로표지를 4종을 제작하였으며, 32Ch 회전형 LiDAR를 차량 상단부에 장착하여 도로주행실험을 수행하였다. 도로표지의 모양에 따른 점군데이터의 형상과 NPC를 비교한 결과, 32ch LiDAR를 활용하여 도로표지의 전체 모양을 인식하려면 40m 이내의 거리가 필요할 것으로 기대되며, 원거리에서 최대한 점군을 확보하는 데 있어서는 정사각형보다는 삼각형, 직사각형 등의 형상이 유리하였다. 도로표지의 높이에 따른 연구 결과, 근거리(20m이내)에서는 표지의 높이를 2m 이상으로 올리면 LiDAR의 수직시야각에서 이탈하여 완전한 점군 형상을 표현하지 못하게 되며, 차로변화로 센서와 표지 사이의 횡간격과 입사각이 커지게 되면 NPC가 소폭 감소하나 근거리 높이 변화에 비하면 미미한 영향을 보였다. 이러한 연구결과는 자율협력주행기술 상용화를 위한 LiDAR 전용 도로시설물 개발에 활용될 수 있을 것으로 기대된다.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.91-97
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• 2017

IoT (Internet of Things) systems are based on heterogeneous hardware systems of different types of devices interconnected each other, ranging from miniaturized and low-power wireless sensor node to cloud servers. These IoT systems composed of heterogeneous hardware utilize data sets collected from a particular set of sensors or control designated actuators when needed using open APIs created through abstraction of devices' resources associated to service applications. However, previously existing IoT services have been usually developed based on vertical platforms, whose sharing and exchange of data is limited within each industry domain, for example, healthcare. Such problem is called 'data silo', and considered one of crucial issues to be solved for the success of establishing IoT ecosystems. Also, IoT services may need to dynamically organize their services according to the change of status of connected devices due to their mobility and dynamic network connectivity. We propose a way of dynamically composing IoT services under the concept of WoT (Web of Things) where heterogeneous devices across different industries are fully integrated into the Web. Our approach allows developers to create IoT services or mash them up in an efficient way using Web objects registered into multiple standardized horizontal IoT platforms where their resources are discoverable and accessible. A Web-based service composition tool is developed to evaluate the practical feasibility of our approach under real-world service development.

• Journal of Electrical Engineering and Technology
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• 제10권6호
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• pp.2356-2363
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• 2015

Localization of lightning strike point (LSP) in the forest is modeled to mitigate the forest fire damage. Though forest fire ignited by lightning rarely happens, its damage on the forest is grievousness. Therefore, predicting accurate location of LSP becomes crucial in order to control the forest fire. In this paper, we proposed a new hybrid localization algorithm by combining the received signal strength (RSS) and the received signal strength ratio (RSSR) to improve the accuracy by mitigating the environmental effect of lightning strike location in the forest. The proposed hybrid algorithm employs antenna theory (AT) model of cloud-to-ground (CG) return stroke lightning channel to forecast the location of the lightning strike. The obtained results show that the proposed hybrid algorithm achieves better location accuracy compared to the existing RSS method for predicting the lightning strike location considering additive white Gaussian noise (AWGN) environment.

• 동아시아경상학회지
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• 제10권4호
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• pp.29-38
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• 2022

Purpose - The present research aims to assess the meaningful association between the extension of sports leisure culture and the spread of wearable devices. The research will discuss the current utilization of wearable devices in sports leisure and the present and future application of wearable devices in sports perspectives. Research design, Data, and methodology - We have investigated and conducted the qualitative content analysis (QCA) to obtain the adequate textual dataset in the current literature and conducted an in-depth analysis of the incorporation of cloud computing in the leisure sports industry by focusing on the development of wearable technologies. Result - From the QCA, it is evident that there is a meaningful connection between the extension of sports leisure culture and the spread of wearable devices, figuring out four kinds of associations as follows: (1) Monitoring the Impact of Sporting Activities, (2) Benefits of Sensor Technology, (3) Reducing Sedentary Behaviors, and (4) Measuring Workload done in Sport Leisure. Conclusion - The present research concludes that wearable devices positively influence individuals to participate in sports and leisure activities. Various technologies are very effective in motivating individuals to adopt sports leisure culture mainly because there is a certain degree of satisfaction that individuals gain in seeing the level of physical activities.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.82-91
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• 2022

In this paper, time series prediction method of photovoltaic power is introduced using seasonal autoregressive integrated moving average (SARIMA). In order to obtain the best fitting model by a time series method in the absence of an environmental sensor, this research was used data below 50% of cloud cover. Three samples were extracted by time intervals from the raw data. After that, the best fitting models were derived from mean absolute percentage error (MAPE) with the minimum akaike information criterion (AIC) or beysian information criterion (BIC). They are SARIMA (1,0,0)(0,2,2)14, SARIMA (1,0,0)(0,2,2)28, SARIMA (2,0,3)(1,2,2)55. Generally parameter of model derived from BIC was lower than AIC. SARIMA (2,0,3)(1,2,2)55, unlike other models, was drawn by AIC. And the performance of models obtained by SARIMA was compared. MAPE value was affected by the seasonal period of the sample. It is estimated that long seasonal period samples include atmosphere irregularity. Consequently using 1 hour or 30 minutes interval sample is able to be helpful for prediction accuracy improvement.

• 자동차안전학회지
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• 제16권2호
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• pp.20-26
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• 2024

The delivery using drones has been attracting attention because it can innovatively reduce the delivery time from the time of order to completion of delivery compared to the current delivery system, and there have been pilot projects conducted for safe drone delivery. However, the current drone delivery system has the disadvantage of limiting the operational efficiency offered by fully autonomous delivery drones in that drones mainly deliver goods to pre-set landing sites or delivery bases, and the final delivery is still made by humans. In this paper, to overcome these limitations, we propose obstacle detection and landing site selection algorithm based on a vision sensor that enables safe drone landing at the delivery location of the product orderer, and experimentally prove the possibility of station-to-door delivery. The proposed algorithm forms a 3D map of point cloud based on simultaneous localization and mapping (SLAM) technology and presents a grid segmentation technique, allowing drones to stably find a landing site even in places without prior information. We aims to verify the performance of the proposed algorithm through streaming data received from the drone.

• 한국위성정보통신학회논문지
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• 제12권4호
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• pp.11-17
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• 2017

본 연구에서 개발하려는 개발기술의 핵심은 "평면이 아닌 곡률이 있는 플렉시블 디스플레이에 4차원 편집환경을(시간포함)제공하는 매니지먼트 소프트웨어를 개발해 콘텐츠를 가공하고 편집하여 디스플레이에 생명을 불어 넣을 수 있는 세계최초의 곡률디스플레이 고화질(UHD급 ${\times}$ 250)용 4차원편집 환경 제공 엔진" 이다. 세부개발기술과 내용은 첫째, 세계최고의 플렉시플 고화질(UHD급 ${\times}$ 256 스크린)멀티스크린 동기화를 위한 4차원 비디오월(시간배열 포함) 편집환경 기술을 구현하며 둘째, 곡률이 있는 플렉시블 디스플레이로 구현된 입체화된 비디오월 및 디지털사이니지 환경을 위한 360도 인지 센서 환경이 구축된 양방향 인터렉티브 UI/UX용 인터페이스를 구현하며 셋째, 세계 최초로 입체화된 전자북 구현을 위한 편집 툴 소프트웨어 개발 구현을 하였다.

• 한국측량학회지
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• 제38권4호
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• pp.383-390
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• 2020

이동식차량측량시스템(이하 MMS)는 정밀도로지도를 제작하는데 가장 효과적인 도구이다. MMS는 다양한 센서의 조합으로 이루어져 있으며, 제조사별로 제작방법과 처리 소프트웨어가 다르기 때문에 부품의 사양만으로 성능을 예측할 수 없다. 따라서 성능평가를 통해 각 장비가 정밀도로지도 제작에 적합한지 판단을 해야 하며, 주기적인 성능평가를 위한 시설이 필요하다. 본 연구에서는 한국건설기술연구원의 SOC실증연구센터에 구축한 MMS 성능평가시설에 대해 설명하고, 문헌조사와 실험을 통해 평가시설이 갖추어야 할 조건에 대해 분석하였다.