• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1091-1097
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• 2010

Energy and environment problem has been arisen and become one of the major concerns all over the world, due to scarce energy resources and inefficient energy consumption. Recently, energy-IT(EIT) convergence technology has been getting more attention, being expected to be one of key technologies to resolve the problem, and R&D projects on various areas of EIT convergence technologies have been launched in many countries on a large scale. Korea government and companies have also been interested in the development of EIT technologies, however, the scopes of technology areas are limited to just a small part such as smart grid technology. This paper investigates effectiveness of each EIT convergence technology and deduces EIT convergence technologies using AHP(Analytic Hierarchy Process). It is expected that our research could be meaningful information supporting policies on R&D projects of EIT convergence technologies promoted to save energy and strengthen the national competitiveness. Our research results show that the EIT convergence technology area of green building would be the most effective EIT convergence technology except smart grid, and network-based energy management system would be the most effective amongst the sub-areas of green building.

• Journal of Sensor Science and Technology
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• v.22 no.1
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• pp.71-75
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• 2013

Nuclear containment building is used as second blockage to protect us from a radiation leakage caused by the natural disaster or any accidents, so it's safety is important and must be kept with continuous surveillance. In this study, we measured the strain of a nuclear containment building's wall by using FBG sensor and investigated the structural safety of a nuclear containment building. 50 FBG strain sensors and 18 FBG strain sensors were attached on the side wall and upper dome of a nuclear containment building, respectively. We measured the strains of the outside concrete wall during the Structural Integrity Test (SIT) of a nuclear containment building. The strain of an upper dome was larger than that of a side wall, about $200{\mu}{\varepsilon}$. And the very small strain was measured at vertical direction of a side wall. These experimental results were used to evaluate the structural health of nuclear containment building.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.429-434
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• 2013

In 2011, Government introduced "IT Convergence Technology Prediction Survey 2025". This report includes 10 ICT industries. Convergence was combined with a word 'digital'. Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. In this paper, we described a prospects and technologies needed in digital convergence environment. And we described IT-Building, IT-Car, IT-Medicine, IT-Textile which was related with our lives in today among 10 ICT industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.537-550
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• 2018

The development focus of a smart city has been changed gradually from a physical development aspect to a space development aspect. In a space development aspect, the major application technologies are Environment Technology (ET), Information Technology (IT) and Environment Information Technology. On the other hand, it is unclear if the space convergence in a smart city has been changed by the 3 technologies. Therefore, specific analysis was performed on the convergence change of smart city 4 spaces (District, Street, Building, Facility) using the 3 technologies. The convergence distribution ratio according to the periods (period 1 : 1972~1999, period 2 : 2000~2009, period 3 : 2010~2017) among the spaces, ET (Environment Technology), IT (Information Technology), ET+IT (Environment Information Technology) in a smart city were examined. The smart city was high in the order of 'District (53/43%) - Building (36/29.1%) - Street (22/17.9%) - Facility (12/10.0%)' in the number of applications and ratio of convergence (Technology Convergence) at Period 1 (1972~1999). The smart city was high in the order of 'District (223/32.4%) - Building (197/28.6%) - Street (195/28.3%) - Facility (74/14.8%)' in the number of applications and ratio of convergence (Technology Convergence) at Period 2 (2000~2009). At period 3, the District (467/33%) was also the highest. On the other hand, the street (384/27.4%) was higher than the building (361/25.8%) and facility (188/13.4%) in smart city space. Fourth, the smart city was high in the order of 'District - Building - Street - Facility' in the number of applications and ratio of convergence (Technology Convergence) at Periods 1 (1972~1999) and 2 (2000~2009). In contrast, the average of number was high in the order of 'Building - Street - District - Facility'. At period 3(2010~2017), the number of applications and the ratio of convergence was high 'District - Street - Building - Facility'; the average of number was the same as in period 1 and 2. As a result, smart city space has been changed by the development of macroscopic urban spaces in the initial stage. Since then, district space-centric development and building space are confused with devices/technologies and changed for citizen inflow. The building space has evolved continually and smart city space will be expected to revitalize the street space connecting completed buildings.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.129-136
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• 2022

The most important part of the smart livestock building system is to maintain a breeding environment so that livestock can grow to high quality despite changes in the internal and external atmospheric environment. Especially, it is very important to maintain the temperature and humidity in the livestock building because various diseases occur during the summer and winter. To manage the environment suitable for livestock, a smartfarm system for livestock building is applied, but it is very expensive. In this study, we propose a hardware design and control method for low cost system based on HMI and fuzzy control. To evaluate the performance of the proposed system, we did a simulation experiment in the atmospheric conditions of summer and winter. As a result, it showed the performance of minimizing the temperature and humidity stress of livestock. And when applied to the livestock building, the proposed system showed stable control performance even in the change of the external atmospheric environment. Therefore, as with these results, if proposed system in this study is applied to the smart farm system, it will be effective in managing the environment of livestock building.

• ETRI Journal
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• v.33 no.4
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• pp.537-546
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• 2011

This paper introduces an automated method for building height recovery through the integration of high-resolution satellite images and digital vector maps. A cross-correlation matching method along the vertical line locus on the Ikonos images was deployed to recover building heights. The rational function models composed of rational polynomial coefficients were utilized to create a stereopair of the epipolar resampled Ikonos images. Building footprints from the digital maps were used for locating the vertical guideline along the building edges. The digital terrain model (DTM) was generated from the contour layer in the digital maps. The terrain height derived from the DTM at each foot of the buildings was used as the starting location for image matching. At a preset incremental value of height along the vertical guidelines derived from vertical line loci, an evaluation process that is based on the cross-correlation matching of the images was carried out to test if the top of the building has reached where maximum correlation occurs. The accuracy of the reconstructed buildings was evaluated by the comparison with manually digitized 3D building data derived from aerial photographs.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.175-176
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• 2018

While damage caused by fire increases, awareness of fire is still low. Morever, Small fires often spread into big fires as they fail to keep the golden time due to the delay in initial response. In particular, the initial response is more important in areas where many unauthorized buildings are called " Panjachon " as firefighting facilities are insufficient compared to other residential facilities. Therefore, we will combine BIM technology, drones and IT convergence technologies to develop a firefighting safety information system that can speed up initial response and help combat fires.

• ETRI Journal
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• v.30 no.2
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• pp.338-340
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• 2008

In this letter, we propose a novel approach to detecting and tracking apartment buildings for the development of a video-based navigation system that provides augmented reality representation of guidance information on live video sequences. For this, we propose a building detector and tracker. The detector is based on the AdaBoost classifier followed by hierarchical clustering. The classifier uses modified Haar-like features as the primitives. The tracker is a motion-adjusted tracker based on pyramid implementation of the Lukas-Kanade tracker, which periodically confirms and consistently adjusts the tracking region. Experiments show that the proposed approach yields robust and reliable results and is far superior to conventional approaches.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.173-174
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• 2018

Recently, a growing number of accidents have taken place at construction sites, causing serious casualties. To prevent accidents or minimize damage, it is necessary to develop the safety precautions education is essential. However, the effects of safety education do not have as much effect as the importance of safety education. so As a new direction, we are looking forward to effective education by simulating realistic environments using VR. The safety training method used to experience and learn dynamic situations in a limited room wearing HMD is combined with VR. It will be the start of the construction industry going forward.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.341-348
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• 2020

The ability to extract useful information from an image, such as the human eye, is an interface technology essential for AI computer implementation. The building recognition technology has a lower recognition rate than other image recognition technologies due to the various building shapes, the ambient noise images according to the season, and the distortion by angle and distance. The computer vision based building recognition algorithms presented so far has limitations in discernment and expandability due to manual definition of building characteristics. This paper introduces the deep learning CNN (Convolutional Neural Network) model, and proposes new method to improve the recognition rate even by changes of building images caused by season, illumination, angle and perspective. This paper introduces the partial images that characterize the building, such as windows or wall images, and executes the training with whole building images. Experimental results show that the building recognition rate is improved by about 14% compared to the general CNN model.