• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.2
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• pp.40-48
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• 2012

Steel corrosion in concrete is a main cause of deterioration and early failure of concrete structures. A novel integration of electromagnetic heat induction and infrared (IR) thermography is proposed for nondestructive detection of steel corrosion in concrete, by taking advantage of the difference in thermal characteristics of corroded and non-corroded steel. This paper focuses on experimental investigation of the concept. An inductive heater is developed to remotely heat the embedded steel from concrete surface, which is integrated with an IR camera. Concrete samples with different cover depths are prepared. Each sample is embedded with a single rebar in the middle, resulting an identical cover depth from the front and the back surfaces, which enable heat induction from one surface and IR imaging from the other simultaneously. The impressed current (IC) method is adopted to induce accelerated corrosion on the rebar. IR video images are recorded during the entire heating and cooling periods. The test results demonstrate a clear difference in thermal characteristics between corroded and non-corroded samples. The corroded sample shows higher rates of heating and cooling than those of the non-corroded sample. This study demonstrates a potential for nondestructive detection of rebar corrosion in concrete.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.19-24
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• 2019

The development of ICT technology has a huge impact on the existing closed CCTV security equipment market. With the importance of video data particularly highlighted in areas such as self-driving cars, unmanned vehicles and smart cities, various technologies using video are emerging. In this paper, we proposed a method to transmit videos and metadata as a part of smart city integration, and to solve the traffic, environment and security problems caused in urban life by utilizing the metadata instead of using CCTV videos for simple recording purposes, and reverse tunneling technique was designed and implemented as a method for accessing CCTV videos for vehicles from remote locations. Integrated management of CCTV videos and metadata for vehicles that have been used only for limited purposes in closed environments will enable efficient operation of integrated centers in real time required by smart cities, such as vehicle status check, road conditions and facility management.

• Smart Structures and Systems
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• v.15 no.1
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• pp.151-167
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• 2015

Instrumentation on structural health monitoring system imposes critical issues for applying the structural monitoring system to real world structures, for which not only on the configuration and geometry, but also aesthetics on the system to be monitored should be considered. To illustrate this point, two real world structural health monitoring systems, the structural health monitoring system of Shenzhen Vanke Center and the structural health monitoring system of Shenzhen Bay Stadium in China, are presented in the paper. The instrumentation on structural health monitoring systems of real world structures is addressed by providing the description of the structure, the purpose of the structural health monitoring system implementation, as well as details of the system integration including the installations on the sensors and acquisition equipment and so on. In addition, an intelligent algorithm on stress identification using measurements from multi-region is presented in the paper. The stress identification method is deployed using the fuzzy pattern recognition and Dempster-Shafer evidence theory, where the measurements of limited strain sensors arranged on structure are the input data of the method. As results, at the critical parts of the structure, the stress distribution evaluated from the measurements has shown close correlation to the numerical simulation results on the steel roof of the Beijing National Aquatics Center in China. The research work in this paper can provide a reference for the design and implementation of both real world structural health monitoring systems and intelligent algorithm to identify stress distribution effectively.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.3
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• pp.7-16
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• 2021

Purpose: This study identified the planning trends for formal and informal learning spaces in the college of medicine through literature reviews. And then, by the analysis of the actual condition of existing domestic facilities, It was organized the architectural planning baseline data and future directions for the formal and informal learning spaces in the college of medicine. Methods: This study was conducted using literature reviews on the existing medical education method and learning space planning. Subsequently on-site surveys and questionnaires were conducted at existing facilities. Results: In the past, learning space of the college of medicine was considered only a formal learning space such lecture rooms, labs. But lately it has been turned into a total learning concept that embraces shared learning spaces such as libraries, student spaces, amenities and common spaces such as lobbies and hallways. ① Formal learning spaces are composed of teaching and practice areas. Since It is the basic functions that comprise the college of medicine, this paper conducted a functional analysis based on the current operating system of the College of Medicine and provided baseline data on architectural planning such as function, layout, zoning, and detailed planning. ② The informal learning sharing space was divided into a library area and a student well-being and convenience area to analyze the real conditions of domestic medical college. In addition, by comparing the trends and differences in foreign medical colleges identified by literature analysis, this paper summarizes the need to revitalize informal learning spaces and their integration into formal learning spaces, architectural planning considerations, etc. Implications: the evolution of the learning method and the flexibility of the learning space bring about changes in the learning space.

• Journal of Korea Trade
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• v.23 no.6
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• pp.1-13
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• 2019

Purpose - This study deals with a strategic plan for meeting the value added criteria effectively, which is one of the methods of determining origin used in preferential trade such as FTA. Automobile products, one of the major Korean export items, were selected to give a practical use against the FTA requirements. Design/methodology - This study is based on the value-added criteria of the Korea-US and Korea-EU FTAs that apply various value-added criteria. The Korea-US FTA adopts the RVC method based on the integration, deduction and net cost methods, while the MC method is employed in the Korea-EU FTA. The methodology used in this work is an extended literature review, analysis of the value-added criteria applied to automobile products under Korea-US and Korea-EU FTA with some secondary statistics. Findings - Based on in - depth analysis of the value - added criteria requirements for automobile products stipulated in the Korea - US FTA and the Korea - EU FTA, two strategic considerations are suggested. First is 'appropriate value-added strategy' and the second is 'strategy of changing production and trade structure'. The second strategy is a bit used in Korea but this is not considered best if the first strategy is ignored or forgotten. The second one is meaningful when this becomes inevitable. Research limitations/implications - This study is primarily designed to assist Korean auto mobile industry players exporting to EU and USA but this may help to auto part or material producers in FTA counter party territories being EU or USA as the preferential tariffs are applied on a inter region basis. A further research other than auto mobiles using other major FTAs might be followed later. Originality/value - There has been so far little research on strategic factors to meet the value-added origin requirements. This study, therefore, is expected to contribute facilitating the decision of FTA origin and to improve the utilization of FTA by allowing exporting companies using value added criterion to more smoothly meet origin requirements. This will also enable the tax authorities to utilize the value-added criterion to validate effectively the origin of imports where preferential tariffs are applied.

• Journal of International Area Studies (JIAS)
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• v.22 no.1
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• pp.91-112
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• 2018

This study examined the dynamic relationship between urbanization and energy consumption in China. As an alternative to the conventional method of having the same integration of time series and large samples, ARDL method and Toda-Yamamoto causality analysis were applied. As a result, urbanization income, income, and energy consumption have a long-term stable equilibrium. Urbanization and income have a positive effect on energy consumption in the long run, but short-term changes of urbanization and income have no significant effect on energy consumption changes. The adjusted coefficient was -0.2395, which was statistically significant. In the causality test, income and energy consumption are useful to predict each other, but urbanization is exogenous because there are no causality with other variables. Since the process of urbanization in China has been proceeding slowly and deliberately by the government, it can be seen that the long-term effects of urbanization are clear and exogenous.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1445-1456
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• 2018

Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.120-123
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. In addition, extract value from structured and unstructured on the data set in big volume means the technology to analyze the results. The findings published from many researchers at the same theme is a meta-analysis a method described with a summary. Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. We reviewed a total of 21 studies to published on topics as collagen intake in Korea between 2000 and 2016, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. Thus, we present the theoretical and practical implications of these results.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.391-397
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• 2019

Ink painting is an important art creation method in oriental culture. Although ink painting lacks of sense of reality compared to western painting, it contains its unique drawing skills, which is of great significance to the inheritance and development of Oriental culture. Animation or game utilizing by ink painting technique are derivative contents from ink painting. This paper will through research the brief history of 3D ink contents works and traditional drawing skills to research existing ink works' art characters and the general production method. Also describe the extensibility of 3D ink animation contents. There has extremely high research value of new convergence contents as mobile game, VR / AR etc. And according to those research ink style image contents can be assumed get further development in the future.

• Journal of Aerospace System Engineering
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• v.13 no.4
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• pp.1-9
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• 2019

Integration of satellites with diverse missions, such as broadcast-communication, earth, meteorologicaland marine observations, and navigation, is vulnerable. The problems of the currently constructed ground station network were analyzed by constructing the test environment. Based on this, we designed a network that was capable of operating multiple satellites by one ground station. In addition, we proposed an interface and network configuration method with domestic and foreign ground stations. The network linking the domestic and foreign ground stations was composed of KREONET (Korea Research Environment Open Network) and GLORIAD (Global Ring Network for Advanced Application Development) of the KISTI(Korea Institute of Science and Technology Information). The internal network consists of VPN (Virtual Private Network), DMZ(De-Militarized Zone), and 1-way USB and so forth. By constructing the network by using the proposed method, harmful data, such as virus inflow and infection, can be blocked.