• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.61-61
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• 2021

온도 성층화는 많은 저수지와 댐에서 흔히 발생하는 현상으로 호수나 저수지의 표면 온도가 바닥보다 상대적으로 높아 깊이에 따른 열 구배를 나타낸다. 이러한 온도 성층화 현상은 여름철과 같이 상부와 하부의 온도 차가 클수록 안정적이게 나타나며 이러한 층화 현상으로 수직 확산이 제어되어 수질에 영향을 미친다고 알려져 있다. 따라서 댐이나 호수 등 층화 현상이 심한 유체 내부 바닥에 물순환장치를 설치하여 외부로부터 공기를 끌어와 하부에서 공기를 분출하여 온도 성층을 약화시키기도 한다. 물순환 장치를 설비하면 수체의 혼합이 용이해지며 물질전달이 개선되어 수질이 향상된다. 국내의 경우 대청댐, 보령댐, 영주 댐 등 많은 국내 댐 내부에 물순환장치가 설비되어있다. 본 연구에서 댐의 물순환장치의 성능을 파악하기 위해 산기식 물순환 장비가 설치되어있는 영주댐을 연구 대상 지역으로 잡았다. 연구지역의 계절별 성층구조 및 특성을 조사하기 위해, 봄, 여름, 가을 영주댐에 방문하여 관측 자료를 취득하였으며 물순환 장치는 봄철의 경우만 가동하였다. 봄철의 물순환 장치 가동 전후 관측 데이터를 바탕으로 수치모형실험을 실행하여 관측 결과와 비교 및 검증하였다. 이를 바탕으로 여름, 가을에 물순환장치를 가동하였을 경우 댐 내부 수체의 혼합과정을 살펴보는 연구를 진행하였다. 본 연구는 CFD (Computational Fluid Dynamic) 시뮬레이션을 수행하기 위해 오픈 소스 소프트웨어 OpenFOAM(version 4.0)에서 열 전달이 포함되어있는 비압축성 VOF 솔버를 사용하였다. 본 솔버는 물과 공기를 동시에 나타낼 수 있으며 온도의 확산 방정식을 포함하고 있다. 또한 유동해석 수행 시 사용한 물순환장치의 효울은 실제 장치의 효율과 동일하다. 본 연구의 목표는 다음과 같다. (1) 관측만으로 파악하기 어려운 수체의 혼합거동을 유동해석 자료를 통해 면밀히 살펴보고 (2) 봄철 물순환 장치가 작동하기 전후 자료를 바탕으로 여름 및 가을철 물순환장치 가동 전후 데이터를 유동해석 자료로 취득한다. (3) 또한 물순환장치 가동 전후 데이터를 통해 계절별 혼합 효율을 취득한다.

• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.131-137
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• 2024

Aerodynamic noise generated by the surrounding flow of a train traveling at high speed affects both outdoor and indoor noise. This study's goal is to develop a test method to measure and quantitatively evaluate aerodynamic noise through pressure perturbation data on the train surface. To accurately evaluate aerodynamic noise, it is important to separate and evaluate the compressive and incompressible pressure fluctuations mixed in the acquired surface pressure fluctuation data. This is because the noise transmission characteristics of the two pressure fluctuations are different. First, the installation length and interval of the microphone were determined to acquire surface pressure fluctuation data, and wavenumber-frequency analysis was performed to separate incompressible pressure fluctuation and compressible pressure fluctuation to obtain a sound pressure level spectrum. Finally, as a result of comparing the test results measured in the train head and trail, It was confirmed that the pressure fluctuation on the train head surface was greater than that on the tail.

• Cartoon and Animation Studies
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• s.48
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• pp.199-215
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• 2017

Recently, a drone is used for the general purpose application although the drone was builtfor the military purpose. A drone is actively used for the creation of contents, and an image acquisition. In this paper, we develop a 3D library module platform using 3D mesh model data, which is generated by a drone image and its point cloud. First, a lot of 2D image data are taken by a drone, and a point cloud data is generated from 2D drone images. A 3D mesh data is acquired from point cloud data. Then, we develop a service library platform using a transformed 3D data for multi-purpose uses. Our platform with 3D data can minimize the cost and time of contents creation for special effects during the production of a movie, drama, or documentary. Our platform can contribute the creation of experts for the digital contents production in the field of a realistic media, a special image, and exhibitions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4228-4236
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• 2015

Due to the rapid advance in web and mobile computing technologies, normal users have become to produce, provide, and share a varied form of spatial data and information. In the domain of spatial information, numerous researches on GIS have been conducted to provide spatial information services based on a geo-sensor network and a data integration and processing technology. However, to provide user-oriented information, a context information model is necessary to associate GIS data with web and sensor data. Context awareness services is designed to provide specific information, minimizing users' interference. For which, the context information model expresses the relationship of various data from sensor networks and mobile applications and provides a user-specific information considering location and area of interest. Thus, this research aims to develops a context information model based air-pollution information system that obtains and analyses air pollution data and reflects the analysis results on an air-pollution policy. Also, this system aims to raise citizens' awareness on air-pollution and to promote citizens' participatory to improve city's air quality.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.4
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• pp.245-258
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• 2015

This study aimed to conduct the standardization of various specifications for determining the proper construction and operation of domestic CORS (Continuously Operating Reference Station). To achieve the plan, the standardization was proposed for various compositions of CORS, such as the data quality, structure, and equipment. Also, we have studied the method for empirically determining the reference values of QC (Quality Check) of CORS data. Those large amounts of samples for each QC index values were built to approach in empirical and statistical methods. In fact, those general and recommended reference values were determined from analyzing the sample distributions, using the empirical and statistical approaches. The result is expected to be utilized for a variety of research fields for standardization, accurate data acquisitions and service operations for the domestic CORS

• Journal of IKEEE
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• v.26 no.3
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• pp.468-474
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• 2022

In this paper, we propose a method to implement a real-time fire alarm system using deep learning. The deep learning image dataset for fire alarms acquired 1,500 sheets through the Internet. If various images acquired in a daily environment are learned as they are, there is a disadvantage that the learning accuracy is not high. In this paper, we propose a fire image data expansion method to improve learning accuracy. The data augmentation method learned a total of 2,100 sheets by adding 600 pieces of learning data using brightness control, blurring, and flame photo synthesis. The expanded data using the flame image synthesis method had a great influence on the accuracy improvement. A real-time fire detection system is a system that detects fires by applying deep learning to image data and transmits notifications to users. An app was developed to detect fires by analyzing images in real time using a model custom-learned from the YOLO V4 TINY model suitable for the Edge AI system and to inform users of the results. Approximately 10% accuracy improvement can be obtained compared to conventional methods when using the proposed data.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.315-317
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• 2008

본 연구에서는 리모델링 대상 백화점 건물의 내부를 지상레이져스캐너(z-f 레이저 장비)에 의해 3D 데이터를 취득하고 일련의 처리과정을 통하여 건물 내부의 리모델링 시공을 위한 단면자료 추출 과정 등에 대하여 제시하였다. 리모델링시공을 위해서는 건물내부에 대한 정확한 도면이 필요하며, 시공당시의 설계도면이 분실 또는 훼손되었든지 실제치수가 당초 설계와 다른 경우 복잡한 내부를 측량해야 하는데 이 경우 레이저 스캐닝 및 관련 소프트웨어에 의한 도면데이터 추출과정을 제시하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.179-180
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• 2015

운항하는 선박의 특성상 미래 상태를 반영한 예방정비는 선박의 안전한 운항과 운영비용 절감에 중요한 요인이다. 이에 본 논문에서는 선박 엔진의 세 가지 주요 베어링의 마모 상태를 모니터링하고 앞으로의 마모 정도를 예측하는 시스템을 개발하였다. 이 시스템은 현재의 실린더 하사점 레벨 데이터를 기반으로 앞으로의 실린더 하사점 레벨을 예측한다. 실험에 적용한 실린더 하사점 레벨 데이터는 테스트 지그를 제작하여 발생시켰고, 이 장치를 통해서 취득한 데이터를 이용하여 선박 엔진의 미래 상태를 예측하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1106-1113
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• 2013

For patients who have senile mental disorder such as dementia, quantity of excercise and amount of sunlight are important clue for dose and the treatment. Therefore, monitoring health information of daily life is necessary for patients' safety and healthy life. Portable & wearable sensor device and server configuration monitoring data are needed to provide these services for patients. Watch-type device(smart watch) which patients wear and server system are developed in this paper. Smart watch developed includes GPS, accelerometer and illumination sensor, and can obtain real time health information by measuring the position of patients, quantity of exercise and amount of sunlight. Server system includes the sensor data analysis algorithm and web server that doctor and protector can monitor through sensor data acquired from smart watch. The proposed data analysis algorithm acquires quantity of exercise information and detects step count in patients' motion acquired from acceleration sensor and to verify this, the three cases with fast pace, slow pace, and walking pace show 96% of the experimental result. If developed u-Healthcare System for dementia patients is applied, more high-quality medical service can be provided to patients.

• Journal of the Korean Geophysical Society
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• v.9 no.4
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• pp.361-369
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• 2006

This study conducted an initialization test to decide dynamic position using AHRS IMU sensor, and derived attitude correction angles of vehicles against time through regression analysis. It was also found that the heading angle was stabilized with variation less than 1°after 60 seconds. Using these angles, this study carried out an experiment on the determination of dynamic position for each system in the open sky and in a semi-open sky. According to the results, in the open sky, DGPS alone systems were excellent in accuracy but poor in data acquisition, so the moving distance was around 12m. In DGPS/IMU combined system, accuracy and data acquisition were satisfactory and the moving distance was around 0.3m. In a semi-open sky, DGPS alone systems were excellent in accuracy in order of DGPS < FIMU < DGPS/IMU according to average and standard errors obtained with exclusion of places where data were not be obtained. The moving distance was the same as that in the open sky. For DGPS, when places where data were not obtainable were divided into Several block and they were compared, the maximum deviation from the trajectory was up to 41.5m in DGPS alone system, but it was less than 2.2m and average and standard errors were significantly improved in the combined system. When the navigation system was applied to surveys and the result was compared with position error 0.2mm under the guideline for digital map, it was possible to work on maps on a scale of up to 1 : 1,000.