• International conference on construction engineering and project management
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• 2009.05a
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• pp.32-39
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• 2009

"We need to overcome the lack of space and infrastructure." Construction in the 20th century had been basically motivated by this need. It had enabled almost automatic financing on land as well as plenty of public investment. However we cannot expect such investment in built environment any more in the 21st century, when urban structures have been fully built. "We have space and infrastructures but want to make them better." We must find the new way how to strategically organize creativity on use as well as such users' want itself for sustaining investment in built environment. In this paper the outline of such a new way is discussed.

• Journal of the Korean Graphic Arts Communication Society
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• v.18 no.2
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• pp.29-40
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• 2000

Recently. color proofing in printing industry grow rapidly. If an order decide color from known color information in the case of color reproduction, we can reduce expenses and time. In color proofing the best important point must be closed proofed color to primary color and secondary color. Model-based approaches have the advantages of faster recharacterization and the opportunity of simulating product enhancements such as changes in ink properties and halftoning. In this paper, we transformed the dot area of CMYK to CIELAB color space using color reproduction models. Firstly, we measured spectral reflectance of primary color printed by Matchprint II and the data was used to find tone reproduction curve using regression equation, and than we applied at primary color model, such as Murray-Davies, Yule-Nilsen, and mixed color model, such as Kubelka-Munk, relaxed version of spectral Neugebauer. In such results, the Kubelka-Munk model resulted in the best spectral reconstruction accuracy followed by relaxed version of spectral Neugebauer model, color difference is 2.8401.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.1
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• pp.1-18
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• 2007

This study examines the development direction of Ulsan automobile cluster and suggests strategic interventions, based on the possibility of system transformation in the open economic system. The spatial characteristics of global, national and local production and R&D networks were analyzed to investigate the conditions of Ulsan automobile cluster. And the agglomeration process of automobile industry and the capabilities accumulated in Ulsan were analyzed and alternative developmental path and policy suggestions were proposed.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.3
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• pp.257-260
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• 2010

Advancements in the imaging and computing technology have opened the path to digital holography for non-destructive investigations of technical samples, material property measurement, vibration analysis, flow visualization and stress analysis in aerospace industry which has widened the application of digital holography in the above fields. In this paper, we demonstrate the non-destructive investigation and micro-structure measurement application of digital holography to the small particles and a biological sample. This paper gives a brief description of the digital holograms recorded with this system and illustratively demonstrated.

• Food Science and Industry
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• v.51 no.1
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• pp.61-71
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• 2018

The evaluation of food taste is one of the important activities of human consciousness and it is practiced by sensory analysis using 5 terminal sensorial consciousness among many other functions. These consciousness activities may be conducted by 3 way branching transformation (3-WBT) logic, which choose one out of 3 options under the multi-layered consciousness decision making system. On the basis of this logic, cognitive sensory evaluation (CSE) method was developed to carry out questionnaire survey covering objective and subjective issues during consumption of food for pregnant women. The results of the CSE for several food items was presented with the Table-pattern called CSET covering consciousness factors and their effects on the food consumers.

• Electronics and Telecommunications Trends
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• v.38 no.2
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• pp.75-84
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• 2023

Metaverse is expected to bring many innovations to society, culture, and economy by providing realistic services in various fields while suppressing time and space constraints. However, unclear definitions owing to the high diversity of the metaverse add to the confusion of the ecosystem participants. The current metaverse service has many voices of concern owing to technical limitations and lack of a clear profit model. Nevertheless, given its high growth potential driven by the digital transformation, a solid and long-term technology development strategy seems to be necessary. Accordingly, we analyze development cases centering on the major metaverse service shapes presented in the Metaverse New Industry Leading Strategy announced by the Ministry of Science and ICT in January 2022. In addition, we study the characteristics and core technologies of each metaverse service for its realization and discuss future stages of technological development.

• Proceedings of the Korean Printing Society Conference
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• 2000.04a
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• pp.45-55
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• 2000

Recently, as the prepress mainstream is changed to the digital wolkflow, various digital proofing systems such as high price dye sublimation printers and low price ink jet printers are widely used in printing industry. Generally, CRT monitors are also often used as a soft proofing device for hard-copy image output. However, displayed color image on CRT monitor does not match to the actual color printing sheets. Because, the color space of CRT monitor used RGB color space, and it is differ with printing device color space, CMY. Therefore, proper color compensations are needed to match the colors between hard-copy proofs on the printing device and soft copy proofs on the monitor. For the proper compensation, we used LUT and gamut mapping method for color space transformation between device dependent color space and device independent color space, vis a vis. This paper shows the application method and the usefulness of CRT monitor for the soft-copy proofing using the output characteristics of printing device.

• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.399-404
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• 2020

There are many attempts to apply AI technology to diagnose facilities or improve the work efficiency of the power industry. The emergence of new machine learning technologies, such as deep learning, is accelerating the digital transformation of the power sector. The problem is that traditional power systems face security risks when adopting state-of-the-art AI systems. This adoption has convergence characteristics and reveals new cybersecurity threats and vulnerabilities to the power system. This paper deals with the security measures and implementations of the power system using machine learning. Through building a commercial facility operations forecasting system using machine learning technology utilizing power big data, this paper identifies and addresses security vulnerabilities that must compensated to protect customer information and power system safety. Furthermore, it provides security guidelines by generalizing security measures to be considered when applying AI.

• Asian Journal of Innovation and Policy
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• v.10 no.2
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• pp.159-176
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• 2021

Over the past two decades, smart cities have been attracting attention as a means of solving urban problems and as a model for securing urban sustainability. Many studies have been conducted in various fields such as conceptual definitions, classification, new technologies, case analysis, and civic participation of smart cities. In particular, applicable technologies and their importance have been highlighted so far. However, since a city is a complex and meta-systematic space, it is the overly optimistic prospect that technology, one of the smart city components, will lead to successful smart cities. This study elucidates the impediments to driving smart cities as a case study of South Korea, a leading country in smart technology and digital transformation. We examined three comprehensive national plans for promoting smart cities and conducted focus group interviews with experts in smart cities to analyze the obstacles to carrying smart cities. We classified the thirteen impediments into technological, industrial, governmental, and social factors as a result. Some of them are generic issues in policy establishment and enforcement, while others are specific to smart cities.

• Journal of Information Technology Applications and Management
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• v.13 no.1
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• pp.77-94
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• 2006

Case-based Reasoning (CBR) is widely used in business and industry prediction. It is suitable to solve complex and unstructured business problems. Recently, the prediction accuracy of CBR has been enhanced by not only various machine learning algorithms such as genetic algorithms, relative weighting of Artificial Neural Network (ANN) input variable but also data mining technique such as feature selection, feature weighting, feature transformation, and instance selection As a result, CBR is even more widely used today in business area. In this study, we investigated the usefulness of the CBR method in forecasting success in implementing ERP systems. We used a CBR method based on the feature weighting technique to compare the performance of three different models : MDA (Multiple Discriminant Analysis), GECBR (GEneral CBR), FWCBR (CBR with Feature Weighting supported by Analytic Hierarchy Process). The study suggests that the FWCBR approach is a promising method for forecasting of successful ERP implementation in Small and Medium sized Enterprises.