• Smart Structures and Systems
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• 제32권2호
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• pp.83-99
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• 2023

The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.

• 한국방재학회 논문집
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• 제2권4호
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• pp.69-75
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• 2002

본 연구에서는 하천수질자료를 현장계측하고 무선으로 실시간 전송하여, GIS 상에서 자료를 분석하여 하천수질의 이상을 신속, 정확하게 파악하여 하천의 수질관리를 효율적으로 관리할 수 있는 GIS에 기반한 하천수질 관리시스템을 개발하였다. 시스템을 성능을 테스트할 목적으로 한강의 제1지류인 탄천을 시범유역으로 선정하여 개발된 시스템을 테스트하였다. 하천관리시스템은 크게 GPS 수신기가 탑재된 무선 실시간 계측시스템, 서버컴퓨터, GIS 시스템의 세 부분으로 나뉘어지며 각각의 시스템을 통합, 연계하여 최종 시스템을 개발하였다. 개발된 하천관리시스템을 시험유역에 적용한 결과 탄천 수질자료의 측정이 실시간으로 이루어짐과 동시에 서버컴퓨터에 저장되는 자료를 GIS 시스템 상에서 즉시 표출하고 가공할 있게 됨으로서 하천 수질을 실시간으로 관리할 수 있는 가능성을 제고하였으며 수질오염확산예측 및 수질방재등의 목적으로 활용할 수 있는 가능성을 확인하였다.

• 한국펄프종이공학회:학술대회논문집
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• 한국펄프종이공학회 2000년도 제26회 펄프종이기술 국제세미나
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• pp.1-10
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• 2000

The development of paper machines, increasing machine speeds with new, mostly low basis weight and/or high ash content paper grades, as well as the fact that several trends regarding process items have increased the sensitivity of papermaking. At the same time, papermakers are looking for flexibility in the production line. We can say that with all PMs the biggest benefits with the lowest capital spending can be achieved by focusing on improved wet end management. In order to manage wet end chemistry on a paper machine, our goal is to control sub-process through which we can influence the operation of the entire wet end with maximum effect. Key measurements and controls are-white water consistency control which is the most effective way to control retention - charge demand measurement and control which takes care of concentration of the anionic material entering to PM -ash measurements and controls which are deeply related to retention and paper quality This paper presents and concentrates to two of these key controls ; retention and charge. The purpose of charge control is to give the process control the tools to react to changes caused by amount of dissolved and colloida material incoming to wet end system. It is called coagulation or fixing control. Retention control is then taking care of retention aid flow to the process by responding any changes seen in white water consistency. It is called flocculation control. Each of these solutions separately , and even more effectively all together, stabilize the wet end operations and so greatly improve the produced paper quality and machine runnability. Practical results will be presented and they are referring to the latest mill cases. We have developed the first wet end measuring system in the late 1980s and control solutions based on this modern measuring technology were completely updated in 1990s. This paper introduces the principle, operation , and results of our unique wet end analyzers (retention and charge ) which are at the level of automation solutions as a part of paper machine quality control Especially our newest member of the platform , on-line charge analyzer has reached and set new standards to the on-line charge monitoring.

• 펄프종이기술
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• 제32권5호
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• pp.44-53
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• 2000

The development of paper machines, increasing machine speeds with new, mostly low basis weight and/or high ash content paper grades, as well as the fact that several trends regarding process items have increased the sensitivity of papermaking. At the same time, papermakers are looking for flexibility in the production line. We can say that with all PMs, the biggest benefits with the lowest capital spending can be achieved by focusing on improved wet end management. In order to manage wet end chemistry on a paper machine, our goal is to control subprocesses through which we can influence the operation of the entire wet end with maximum effect. Key measurements and controls are - white water consistency control which is the most effective way to control retention. - charge demand measurement and control which takes care of concentration of the anionic material entering to PM. - ash measurements and controls which are deeply related to retention and paper quality. This paper presents and concentrates to two of these key controls: retention and charge. The purpose of charge control is to give the process control the tools to react to changes caused by amount of dissolved and colloidal material incoming to wet end system. It is called coagulation or fixing control. Retention control is then taking care of retention aid flow to the process by responding any changes seen in white water consistency. It is called flocculation control. Each of these solutions separately, and even more effectively all together, stabilize the wet end operations and so greatly improve the produced paper quality and machine runnability. Practical results will be presented and they are referring to the latest mill cases. We have developed the first wet end measuring system in the late 1980s and control solutions based on this modern measuring technology were completely updated in 1990s. This paper introduces the principle, operation, and results of our unique wet end analyzers (retention and charge) which are at the level of automation solutions as a part of paper machine quality control. Especially our newest member of the platform, on-line charge analyzer has reached and set new standards to the on-line charge monitoring.

• Smart Structures and Systems
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• 제30권3호
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• pp.287-301
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• 2022

The machine-vision based structural displacement measurement methods are widely used due to its flexible deployment and non-contact measurement characteristics. The accuracy of vision measurement is directly related to the image resolution. In the field of computer vision, super-resolution reconstruction is an emerging method to improve image resolution. Particularly, the deep-learning based image super-resolution methods have shown great potential for improving image resolution and thus the machine-vision based measurement. In this article, we firstly review the latest progress of several deep learning based super-resolution models, together with the public benchmark datasets and the performance evaluation index. Secondly, we construct a binocular visual measurement platform to measure the distances of the adjacent corners on a chessboard that is universally used as a target when measuring the structure displacement via machine-vision based approaches. And then, several typical deep learning based super resolution algorithms are employed to improve the visual measurement performance. Experimental results show that super-resolution reconstruction technology can improve the accuracy of distance measurement of adjacent corners. According to the experimental results, one can find that the measurement accuracy improvement of the super resolution algorithms is not consistent with the existing quantitative performance evaluation index. Lastly, the current challenges and future trends of super resolution algorithms for visual measurement applications are pointed out.

• 한국음향학회지
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• 제42권5호
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• pp.452-459
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• 2023

음파의 힘을 이용하는 음향집게는 나노 단위의 세포외소포에서 밀리미터 단위의 대규모 다세포생 물체까지 다양한 생체 입자를 조작하는 데 사용되는 매우 유용한 도구이다. 해당 분야는 수십년간 점진적인 개발이 이루어지고 있으며, 단일 초음파 빔을 사용하는 단일 빔 음향 집게(Single Beam Acoustic Tweezers, SBAT)기술 또한 세포 및 생물체 정밀 이동 및 분석이 가능한 플랫폼으로 발전했다. 최근 혁신적인 발전으로 SBAT를 이용하여 입자/세포 분리, 단일 세포 변형 기술이 개발되었으며 이로 인해 의공학 분야에서 학문적인 관심을 모으고 있다. 본 종설에서 SBAT기술의 기초 원리와 작동 방법에 대해서 설명하며 그간의 연구를 요약하고 이를 바탕으로 향후 연구에 대해서 전망한다.

• 정보교육학회논문지
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• 제26권2호
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• pp.129-140
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• 2022

코로나19(COVID-19)로 인해 우리 사회는 급격한 변화를 겪고 있으며 특히 교육 현장에서는 디지털 기술을 활용한 온라인 학습이 다양한 형태로 시도되고 있고, 교육 시스템의 변화에 따라 교사와 학생의 전통적인 역할에도 많은 변화가 생겼다. 그러나 비대면 교육 상황에서 발생하는 학습 몰입 저하, 교수·학습자 간의 상호작용 부재, 기초 학력 저하 등 원격 수업이 가지는 한계점이 지속적으로 제기되고 있으며 이러한 문제점을 해결하기 위해서 적절한 교육적 전략이 필요한 시점이다. 본 연구에서는 가상 세계(Virtual Reality)와 현실 세계(Real World)의 상호작용을 기반으로 하는 '메타버스(Metaverse)'의 개념에 주목하고 이를 기반으로 하는 교육 활동의 효과성을 검증하고자 했다. 세부적으로 메타버스 가상 교실(Virtual Classroom)에서 플립러닝(flipped learning)을 실현하기 위한 교육 프레임워크를 제안하고, 이를 기반으로 개발된 교수·학습 프로그램으로 단일집단의 학습 몰입도를 측정하여 개발된 프레임워크의 효과성을 검증했다. 본 연구에서 제안한 메타버스 플랫폼 기반의 플립러닝 프레임워크 및 교육 프로그램을 적용했을 때 학습자들의 학습 몰입도가 향상되었음을 확인할 수 있었다.

• 대한원격탐사학회지
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• 제36권5_4호
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• pp.1195-1207
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• 2020

GeoWeb 기술이 발전하면서 재난관리 분야에서도 웹을 통한 2D/3D 공간정보 서비스에 대한 관심과 활용도가 높아지고 있다. 본 논문은 재난사고 현장에서 수집된 다양한 공간정보를 웹 환경에서 시각화하기 위한 3D 공간정보 맵핑 플랫폼 구축에 관한 연구로서, 웹 개발 표준기술인 HTML5/WebGL과 오픈소스를 활용하여 재난사고 현장에서 다양한 형태로 수집된 2D/3D 공간 데이터와 대용량의 LiDAR 점군 데이터에 대한 웹기반의 공간정보 맵핑 서비스 방안을 제시하였다. 첫째, 오픈소스인 GeoServer의 WMS 서비스와 PostGIS를 이용하여 수집된 재난현장 조사 2D 데이터를 공간 DB로 구축한 후 웹 환경에서 렌더링하였다. 둘째, 웹 환경에서 대용량 3D 점군 데이터를 효율적으로 렌더링하기 위하여 다중 해상도의 옥트리 구조를 이용하여 점군 데이터를 2D 타일로 단순화하는 Potree 알고리즘을 적용하였다. 마지막으로 OpenLayers3를 기반으로 3차원 지도를 제어 및 측정하기 위한 기본·응용 기능을 Graphic User Interface(GUI)로 구현하여 2D/3D 공간정보의 웹 시각화를 위한 3D 웹 맵핑 파일럿 시스템을 개발하였다. 향후, 재난현장의 각종 2D 조사 데이터 및 다양한 공간영상정보를 구축된 웹기반 3차원 공간정보시스템에 중첩·표출함으로써 재난사고 과학조사 및 분석 업무에 활용될 수 있을 것으로 기대된다.

• 유통과학연구
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• 제15권6호
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• 한국산업보건학회지
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• 제15권1호
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• pp.71-81
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• 2005

The purposes of this study was to collect, analyze, and describe the MF exposure levels from subways in Korea and to measure and evaluate the MF levels generated from electric appliances used at general homes. The target subway lines were Seoul Metropolitan Line 1 to Line 8, Bundang Line, Incheon Line, Daegu Line, Gwangju Line, and Busan Line 1 and Line 2. We measured at each station in those subway lines and, all the train types (pantograph-equipped, motor-equipped, and common), and platform types(facing and isolating) were investigated by the distance(80, 200, 400 cm) from the train on 19 targeted subway lines using 3 magnetic field measuring devices (EMDEXII, Enertech Co.) during the survey from January till October, 2004. On the other hand, the levels of the 60Hz magnetic fields generated from 14 items of home electric appliances such as electric blankets, hair dryers, electric razors, etc. were measured at 10 general homes using 5 EMDEXII meters with a sampling interval of 1.5 second by the distance(surface, 30, 50, 100, 300cm ) from the target electric appliances. The survey results in the whole subway lines examined in this study were as follows; Seoul Metropolitan Line 4 using AC(alternating current) power source showed the highest mean value of $2.85{\mu}T$, followed by Seoul Metropolitan Line 1 running between Seoul and Incheon using AC($2.78{\mu}T$), Seoul Metropolitan Line 1 between Seoul and Uijongbu using AC($2.73{\mu}T$), Bundang Line using AC($1.79{\mu}T$), Seoul Metropolitan Line 1 connected from Yongsan using AC($1.67{\mu}T$), Seoul Metropolitan Line 1 between Seoul and Suwon using AC($0.79{\mu}T$), and so on. In general, the intensity of the magnetic field in the subway systems in Korea was significantly higher when using AC($2.14{\pm}0.91{\mu}T$) than when using DC($0.29{\pm}0.44{\mu}T$) power source. Among the home electric appliances examined, microwave ovens showed the highest mean value of $7.69{\mu}T$, followed by hair dryers($6.47{\mu}T$), vacuum cleaners($5.27{\mu}T$), televisions ($2.26{\mu}T$), electric blankets($1.38{\mu}T$), personal computers ($0.81{\mu}T$), and so on. Two items of electric appliances showed the excess value of $0.2{\mu}T$ at the distance of 30cm in the MF exposure level; electric razors $1.58{\pm}2.13{\mu}T$ and vacuum cleaners $0.48{\pm}0.44{\mu}T$. As a whole, this study showed a tendency that the shift of the MF levels according to the increase of distance from the electric appliances was lower than those of the results surveyed in UK and USA. As a result, this study is expected to suggest meaningful data for the future study in exposure assessment of magnetic fields and for the establishment of guidelines for subways and electric appliances in Korea. More detailed and large scaled exposure assessment studies should be performed continuously to get the various and useful information on health risk assessment of MFs in Korea.