• 한국콘텐츠학회논문지
• /
• 제7권2호
• /
• pp.161-169
• /
• 2007

본 연구는 웹기반 PBL에서 메타인지의 영향과 효과적인 스캐폴딩 유형을 알아보기 위해 학부생 49명을 대상으로 하여 메타인지와 스캐폴딩 유형이 문제해결과정에 미치는 영향을 살펴보았다. 본 연구에서는 문제의 해결과정을 문제치 정의 단계, 해결책 탐색 단계, 해결책 선정 및 정당화 단계, 해결책에 대한 검토 단계로 분류하였고 스캐폴딩의 유형은 과제중심과 과정중심으로 분류하였다. 실험 결과, 메타인지 수준이 높은 피험자는 낮은 피험자보다 해결책에 대한 검토 단계에서만 더 높은 성취도를 나타냈다. 그리고 제공된 스캐폴딩의 효과는 통계적으로 유의하지 않는 것으로 나타났다. 그러나 해결책 선정 및 정당화 단계와 해결책에 대한 검토 단계에서는 메타인지 수준이 낮은 집단에게는 과제중심 스캐폴딩이 메타인지 수준이 높은 집단에는 과정중심 스캐폴딩이 제공되었을 때 더 높은 성취도를 나타냈다. 부 연구 결과를 통해 웹기반 PBL에서 학습자의 메타인지가 문제해결과정에 미치는 효과와 스캐폴딩과 메타인지수준 사이의 상호작용 효과를 부분적으로 확인할 수 있다.

• 한국지능시스템학회논문지
• /
• 제21권1호
• /
• pp.68-79
• /
• 2011

본 연구에서 제안하는 시스템은 인터넷 상에 존재하는 여러 웹사이트들에 흩어져 있는 웹 콘텐츠에서 사용자 의견 정보들을 자동 추출 및 분석함으로써, 긍정/부정 의견별로 검색 및 통계를 확인할 수 있는 의견 검색 서비스를 제공한다. 그 결과 의견 검색 사용자들은 특정 키워드에 대하여 다른 사용자들의 의견을 손쉽게 한눈에 검색 및 모니터링하는 시스템을 용이하게 사용할 수 있으며, 웹 콘텐츠에서의 의견 추출 및 분석하는 기능을 제공받는다. 제안한 기법들은 다른 기법들과의 비교 실험을 수행하여 실제 성능이 우수함을 증명하였다. 성능 평가는 긍정/부정 의견 정보를 추출하는 기능의 성능 평가, 다국어 정보 검색을 위한 동적 윈도우 기법과 토크나이저 기법을 적용한 성능 평가, 그리고 정확한 다국어 음차표기를 추출 기법에 성능 평가를 실시하였다. 그 적용 사례로 대표적인 영화 리뷰 문장과 위키디피아 실험 데이터를 대상으로 실험하고 그 결과를 분석하였다.

• 한국정보통신학회논문지
• /
• 제20권12호
• /
• pp.2341-2347
• /
• 2016

본 논문에서는 고속 FPGA 및 임베디드 리눅스를 사용하여 곡물 선별 모니터링 시스템을 구현하였다. 기존의 곡물 선별 모니터링 시스템은 독립형 모드에 기반으로 설계하였는데 비해 제안 된 시스템은 웹 서버와 웹 응용 프로그램 기반으로 설계하였다. 제안된 곡물 선별 시스템은 웹 서버 상에서 FPGA의 고속 하드웨어 인터페이스를 설계하였다. 제안 된 시스템은 리눅스 웹 서버의 멀티태스킹의 장점과 FPGA의 고속 하드웨어의 장점을 갖는다. 고속 레이트 라인 스캔 CCD 카메라의 제어 로직, 무게 중심점 추출 방법, 그리고 HSL 디코딩 및 웹 서버의 인터페이스는 FPGA로 구현하였다. 구현된 모니터링 시스템은 웹 애플리케이션에 의해 곡물 선별 모니터링과 시스템 고장 및 복구를 원격으로 제어 할 수 있다는 장점을 갖는다. 그 결과, 기존의 시스템에 비해 곡물 선별 성능을 업그레이드 할 수 있었다.

• 대한원격탐사학회지
• /
• 제31권5호
• /
• pp.491-499
• /
• 2015

미국, 유럽 등 해외 선진국에서는 농업생산환경 모니터링 시스템을 구축하여 작물 생산량 예측, 기상 변화 및 이상치 관측, 작물 재배지 분류 및 면적 산정 등 작물 생산에 영향을 주는 요인에 대한 정보 취득과 분석에 활용하고 있다. 이러한 시스템은 오픈소스 및 상용소프트웨어를 활용한 웹 기반 시스템이며 원격탐사자료를 활용한 다양한 정보 제공이 이루어진다. 본 연구에서는 농업생산환경 모니터링을 위하여 널리 활용되고 있는 GeoServer, ArcGIS Server를 이용하여 Map Server 및 Web Application Server가 구성되었으며 응답시간 및 데이터 전송량 평가를 통하여 향후 농업생산환경 모니터링을 위한 시스템 구성과 이에 대한 성능평가를 진행하였다. 동일한 조건에서 구축된 시스템은 응답시간 및 초당 데이터전송량에서 GeoServer가 상대적으로 우수한 결과를 나타내었다.

• 산업경영시스템학회지
• /
• 제46권3호
• /
• pp.275-284
• /
• 2023

Land monitoring involves systematically understanding changes in land use, leveraging spatial information such as satellite imagery and aerial photographs. Recently, the integration of deep learning technologies, notably object detection and semantic segmentation, into land monitoring has spurred active research. This study developed a web service to facilitate such integrations, allowing users to analyze aerial and drone images using CNN models. The web service architecture comprises AI, WEB/WAS, and DB servers and employs three primary deep learning models: DeepLab V3, YOLO, and Rotated Mask R-CNN. Specifically, YOLO offers rapid detection capabilities, Rotated Mask R-CNN excels in detecting rotated objects, while DeepLab V3 provides pixel-wise image classification. The performance of these models fluctuates depending on the quantity and quality of the training data. Anticipated to be integrated into the LX Corporation's operational network and the Land-XI system, this service is expected to enhance the accuracy and efficiency of land monitoring.

• 기술경영경제학회:학술대회논문집
• /
• 기술경영경제학회 2003년도 제23회 하계학술발표회 논문집
• /
• pp.108-115
• /
• 2003

Government R&D Project Management in Korea has had considerable difficulties because of the lack of project monitoring systems and insufficient communication. The National Program for Tera-level Nanodevices (TND Program) is a ten-year R&D program for commercialization in the area of nano technology. Collaboration and communication among the various participants such as business companies, universities, and government R&D institutes are key success factors in this R&D program. TND Program office has developed a Web-based project management system. This system consists of mostly four sub-management functions: (1) Milestones management of all R&D projects; (2) DR (Design Review) management as the mechanism for checking the performance against milestones; (3) Project activity management using the WBS (Work Breakdown Structure); (4) Budget management. Additionally, it also has many R&D supporting functions such as technology information bulletin board, community management, and visual summary of project progress and performance. This system is effective for monitoring research project as well as measuring project performance of the overall research program. This Web-based system has become the useful tool of R&D moving target mechanism and effective communication and collaboration tool. System features and adoption process of the system are also suggested.

• Safety and Health at Work
• /
• 제10권4호
• /
• pp.452-460
• /
• 2019

Background: Monitoring and control of PM_2.5 are being recognized as key to address health issues attributed to PM_2.5. Availability of low-cost PM_2.5 sensors made it possible to introduce a number of portable PM_2.5 monitors based on light scattering to the consumer market at an affordable price. Accuracy of light scatteringe-based PM_2.5 monitors significantly depends on the method of calibration. Static calibration curve is used as the most popular calibration method for low-cost PM_2.5 sensors particularly because of ease of application. Drawback in this approach is, however, the lack of accuracy. Methods: This study discussed the calibration of a low-cost PM_2.5-monitoring device (PMD) to improve the accuracy and reliability for practical use. The proposed method is based on construction of the PM_2.5 sensor network using Message Queuing Telemetry Transport (MQTT) protocol and web query of reference measurement data available at government-authorized PM monitoring station (GAMS) in the republic of Korea. Four machine learning (ML) algorithms such as support vector machine, k-nearest neighbors, random forest, and extreme gradient boosting were used as regression models to calibrate the PMD measurements of PM_2.5. Performance of each ML algorithm was evaluated using stratified K-fold cross-validation, and a linear regression model was used as a reference. Results: Based on the performance of ML algorithms used, regression of the output of the PMD to PM_2.5 concentrations data available from the GAMS through web query was effective. The extreme gradient boosting algorithm showed the best performance with a mean coefficient of determination (R²) of 0.78 and standard error of 5.0 ㎍/㎥, corresponding to 8% increase in R² and 12% decrease in root mean square error in comparison with the linear regression model. Minimum 100 hours of calibration period was found required to calibrate the PMD to its full capacity. Calibration method proposed poses a limitation on the location of the PMD being in the vicinity of the GAMS. As the number of the PMD participating in the sensor network increases, however, calibrated PMDs can be used as reference devices to nearby PMDs that require calibration, forming a calibration chain through MQTT protocol. Conclusions: Calibration of a low-cost PMD, which is based on construction of PM_2.5 sensor network using MQTT protocol and web query of reference measurement data available at a GAMS, significantly improves the accuracy and reliability of a PMD, thereby making practical use of the low-cost PMD possible.

• Journal of Multimedia Information System
• /
• 제4권4호
• /
• pp.171-178
• /
• 2017

Data mashup is a web technology that combines information from multiple sources into a single web application. Mashup applications create a new horizon for new services, like environmental monitoring. Environmental monitoring is a serious tool for the state and private organizations, which are located in regions with environmental hazards and seek to gain insights to detect hazards and locate them clearly. These organizations utilize a data mashup to merge datasets from different Internet of multimedia things (IoMT) context-based services in order to leverage its data analytics performance and the accuracy of the predictions. However, mashup different datasets from multiple sources is a privacy hazard as it might reveal citizens specific behaviors in different regions. The ability to preserve privacy in mashuped datasets and at the same time provide accurate insights becomes a key success for the spread of mashup services. In this paper, we present our efforts to build a fog-based middleware for private data mashup (FMPM) to serve a centralized environmental monitoring service. The proposed middleware is equipped with concealment mechanisms to preserve the privacy of the merged datasets from multiple IoMT networks involved in the mashup application. Also, these mechanisms preserve the aggregates in the dataset to maximize the usability of information to attain accurate analytical results. We also provide a scenario for IoMT-enabled data mashup service and experimentation results.

• 한국측량학회:학술대회논문집
• /
• 한국측량학회 2003년도 춘계학술발표회 논문집
• /
• pp.37-44
• /
• 2003

The aim of this research was performance of Web-based real time DGPS using MS visual basic 6.0 Active X control. This system supported the navigation of rover by transmitting the DGPS correction information of base station via internet and monitored the moving of rover by displaying the corrected results received from rover as well as permitting Web users monitoring for rover. The Web-based DGPS server and the client system using MS visual basic 6.0 Active X control for DGPS displayed on Web-browser with the pre analysis was constructed and the system loading test via Web-browser was performed after debugging this system through the static GPS test and publishing it on Web. Also, the wireless internet DGPS test on Web by changing the distance between a base station and a rover was carried out. As the result of the test, the real time DGPS could be performed by transmitting the correction message which calculated from the server system to the client system continually. The rover could be managed by displaying the location information which received from the client system. Other users also could monitor the rover by connecting with this system via internet in real time.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2008년도 제39회 하계학술대회
• /
• pp.1706-1711
• /
• 2008

This paper proposes a new Web based-control concept & design method and implementation of LonWorks network system for a large scale renewable energy energy control and monitoring system in building. The Experimental LonWorks network system using LonWorks/Ethernet(Web) server is designed and fabricated. This article addresses issues in architecture of LonWorks/Ethernet sever, embedded processors architecture for converting LonTalks protocol to Modbus protocol and software, and Internet technologies. It is also verified that the multi-induction motor control and monitoring system using LonWorks/Ethernet server have available, interoperable, reliable performance characteristics from the experimental results, Especially, The seamless integration of TCP/IP networks with control networks allows access to any control point from anywhere. Thus, the results provide a available technical data for remote distributed control system of industrial and buildings field.