• Proceedings of the KSR Conference
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• 2009.05a
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• pp.466-471
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• 2009

Most surveillance systems of urban transit are based on CCTV(Closed Circuit Television). However, there is limitation that the passive monitoring system using CCTV in urban transit surveillance system to monitor massive environment applies thousands of cameras and it depends on operator's instinctive judgement whether it happens an accident or disaster. Urban transit operation corporations try to introduce the intelligent technology to overcome these problems as mentioned above. The intelligent system can be organized various ways and made configuration for purpose and function. In this paper, we describe the configuration problems of the existing surveillance system and propose the proper intelligent system configuration for urban transit We expect that the proposed configurations are very helpful to introduce the intelligent technology for urban transit surveillance system.

• Journal of the Korean Home Economics Association
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• v.39 no.1
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• pp.179-190
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• 2001

The purposes of this study are to explore mother's involvement in children's education and to examine its impacts on the school adjustment of poor family children. A total of 206 low-income mothers with a child attending elementary or middle school completed a structured questionnaire. Overall, the results show that the mothers tend to involve in their children's education to some degree. But the extent of maternal involvement is not uniform across the types of involvement. In order to analyze factors that affect the school adjustment which is measured as grades and attitudes toward school life, regression is perfomed. The mother-child relationship, the expectation for children's educational attainment and the involvement in school activities are found important in predicting the school adjustment of elementary school students. Also, it is found that the discipline including TV monitoring and the matemal expectation are positively associated with the school adjustment of middle school student.

• Journal of the Korean Home Economics Association
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• v.39 no.6
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• pp.93-108
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• 2001

After-school activities of 817 7th grade children from Kwangju, Busan, and Kumi were studied to determine relations with (a) child, family and contextual variables (b) child's academic achievement and social development. Children were more likely to engage in extracurriculum activites and TV watching than other after-school activities. After-school activities were related to child's, parent's and contextual variables. Child's characteristics related to after-school activities were sex, impulse control, mastery and self-care. family's characteristics related to after-school activities were mother's employment, emotional support, control, monitoring and SES. Region and regional sagy were related to after-school activities. Some of after-school activities were related child's academic achievement and social development. Especially academic activites have a positive and powerful effects on child's academic achievement and social development.

• Korean Journal of Environment and Ecology
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• v.11 no.3
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• pp.253-269
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• 1997

This study has been surveyed the establishment and operation of nature observation facilities in the urban ecological open space of Eastern Area, Japan. Major nature observation facilities were visitor centers, nature trails and environmental facilities of nature trail. Also, interpretation as an approach to communicating and understanding of nature was progressed variously in study sites. Interpreters were park rangers and naturalists and volunteers. Major activities of the volunteers were the interpretation, environmental management and monitoring, and communication paper publication. The education materials for self-guiding of ecological open space were from two types to four types. In the advertisement methods, the advertisement through the notice paper of metropolitan, city, and destrict was the most and internet homepage, electronic communication bullentin of district, cable TV, and fax service were utilized in the four survey sites.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.667-670
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• 2005

As security and surveillance have become the center of interest, remote controlled CCTV(Closed-Circuit Television) market has been formed while rapid development of digital image compression technology and Internet triggered the advent of web cameras. The characteristic of web camera is that it can provide users with higher quality image than CCTV at any place where Internet access is available. However, As for the system administrator, the existing web camera have disadvantage in that they allows users only. who are connected to the server of the web camera, to see the image from it. In this paper, in order to make up for this defect, designed multi-vision interface showing multi images on single screen and, for the purpose of the improvement in efficiency, the functions of saving images and of scheduling the time to save the images.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.21-28
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• 2021

In this study, we propose a deep learning-based NILM technique using actual measured power data for 5 kinds of home appliances and verify its effectiveness. For about 3 weeks, the active power of the central power measuring device and five kinds of home appliances (refrigerator, induction, TV, washing machine, air cleaner) was individually measured. The preprocessing method of the measured data was introduced, and characteristics of each household appliance were analyzed through spectogram analysis. The characteristics of each household appliance are organized into a learning data set. All the power data measured by the central power measuring device and 5 kinds of home appliances were time-series mapping, and training was performed using a LSTM neural network, which is excellent for time series data prediction. An algorithm that can disaggregate five types of energies using only the power data of the main central power measuring device is proposed.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.819-834
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• 2022

Artificial Intelligence (AI) techniques have been effectively used for image classification, object detection, and image segmentation. Along with the recent advancement of computing power, deep learning models can build deeper and thicker networks and achieve better performance by creating more appropriate feature maps based on effective activation functions and optimizer algorithms. This review paper examined technical and academic trends of Convolutional Neural Network (CNN) and Transformer models that are emerging techniques in remote sensing and suggested their utilization strategies and development directions. A timely supply of satellite images and real-time processing for deep learning to cope with disaster monitoring will be required for future work. In addition, a big data platform dedicated to satellite images should be developed and integrated with drone and Closed-circuit Television (CCTV) images.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.546-554
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• 2019

Typically, closed-circuit television (CCTV) monitoring is mainly used for post-processes (i.e. to provide evidence after an incident has occurred), but by using a streaming video feed, machine-based learning, and advanced image recognition techniques, current technology can be extended to respond to crimes or reports of missing persons in real time. The multi-CCTV cooperation technique developed in this study is a program model that delivers similarity information about a suspect (or moving object) extracted via CCTV at one location and sent to a monitoring agent to track the selected suspect or object when he, she, or it moves out of range to another CCTV camera. To improve the operating efficiency of local government CCTV control centers, we describe here the partial automation of a CCTV control system that currently relies upon monitoring by human agents. We envisage an integrated crime prevention service, which incorporates the cooperative CCTV network suggested in this study and that can easily be experienced by citizens in ways such as determining a precise individual location in real time and providing a crime prevention service linked to smartphones and/or crime prevention/safety information.

• The KIPS Transactions:PartC
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• v.15C no.4
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• pp.297-302
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• 2008

In case of display a lot of information from mobile devices, those systems are being developed that display the information from mobile devices on remote devices such as TV using the mobile devices as remote controllers because it is difficult to display a lot of information on mobile devices due to their limited bandwidth and small screen sizes. A lot of cost is required to design and develop interfaces for these systems corresponding to each of remote display devices. In this paper, a mobile environment based remote display system for displays at real times is proposed for continuous monitoring of status data for unique 'Mote IDs'. Also, remote data are collected and monitored through sensor network devices such as ZigbeX by applying status perception based remote displays at real times through processing ubiquitous computing environment data, and remote display applications at real times are implemented through PDA wireless mobiles. The system proposed in this paper consists of a PDA for remote display and control, mote embedded applications programming for data collections and radio frequency, server modules to analyze and process collected data and virtual prototyping for monitoring and controls by virtual machines. The result of the implementations indicates that this system not only provides a good mobility from a human oriented viewpoint and a good usability of accesses to information but also transmits data efficiently.

• Smart Structures and Systems
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• v.30 no.5
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• pp.521-535
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• 2022

Efficient management of deteriorating civil infrastructure is one of the most important research topics in many developed countries. In particular, the remote displacement measurement of bridges using linear variable differential transformers, global positioning systems, laser Doppler vibrometers, and computer vision technologies has been attempted extensively. This paper proposes a remote displacement measurement system using closed-circuit televisions (CCTVs) and a computer-vision-based method for in-situ bridge bearings having relatively large displacement due to temperature change in long term. The hardware of the system is composed of a reference target for displacement measurement, a CCTV to capture target images, a gateway to transmit images via a mobile network, and a central server to store and process transmitted images. The usage of CCTV capable of night vision capture and wireless data communication enable long-term 24-hour monitoring on wide range of bridge area. The computer vision algorithm to estimate displacement from the images involves image preprocessing for enhancing the circular features of the target, circular Hough transformation for detecting circles on the target in the whole field-of-view (FOV), and homography transformation for converting the movement of the target in the images into an actual expansion displacement. The simple target design and robust circle detection algorithm help to measure displacement using target images where the targets are far apart from each other. The proposed system is installed at the Tancheon Overpass located in Seoul, and field experiments are performed to evaluate the accuracy of circle detection and displacement measurements. The circle detection accuracy is evaluated using 28,542 images captured from 71 CCTVs installed at the testbed, and only 48 images (0.168%) fail to detect the circles on the target because of subpar imaging conditions. The accuracy of displacement measurement is evaluated using images captured for 17 days from three CCTVs; the average and root-mean-square errors are 0.10 and 0.131 mm, respectively, compared with a similar displacement measurement. The long-term operation of the system, as evaluated using 8-month data, shows high accuracy and stability of the proposed system.