• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.206-207
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• 2020

Accurate estimation of concrete strength development at early ages is a critical factor to secure structural stability as well as to speed up the construction process. The temperature generated from the heat of hydration is considered as a key parameter in predicting the early age strength. Conventionally, concrete temperature has been measured by temperature sensors installed inside concrete. However, considering the measurement on building structures with multiple floors, this method requires reinstallation and repositioning of hardware such as sensors, data loggers and routers for data transfer. This makes the temperature monitoring work cumbersome and inefficient. Concrete temperature monitoring by using thermal remote sensing can be an effective alternative to supplement those shortcomings. In this study, image processing was carried out through K-means clustering technique, which is a unsupervised learning method, and the classification results were analyzed accordingly. In the future, research will be conducted on how to automatically recognize concrete among various objects by using deep learning techniques.

• Archives of design research
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• v.14 no.4
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• pp.77-85
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• 2001

In order to sustain competitive advantage through strategic product differentiation in global market, this research aims to establishment of strategic design conditions for domestic manufacturing firms through the means of product image alignment and positioning, using visual character of product as the foundation for establishing corporate image. Case studies on how globally successful multinational companies manage design strategy and corporate culture uniformly for coherent product image management are reviewed. To establish product image alignment methodology for manufacturing firms, the criteria for product image positioning and aligned product image development process are developed in three stages. First, in image positioning stage, it is important to set the direction for corporate image and design strategy by identifying consumer needs through market trends analysis and forecasting as well as comparative positioning of the analysis results of the firms's own corporate image and that of the competitor's. Second, in awareness building stage, before building the product image alignment, firm-wide shared awareness of differentiated corporate and product image, establishment of designer's role as the consolidated manager of product image, sharing form language, and building the infrastructure for defining form information should be preceded. Third, in managing the aligned product image stage, the condition for setting up image information management guideline, management of decision making process for arriving at logical decisions on product form, development of guideline for increasing efficiency and its evaluation system, and co-development of related design should be induced. Further research on the product image alignment with corporate image should be conducted through various empirical studies on image and form, building an information system of related design language, and continuous assessment and management of applied solutions.

• Journal of Power System Engineering
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• v.10 no.4
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• pp.139-146
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• 2006

In this paper vector code correlation(VCC) method and an algorithm to promote the image processing performance in building an effective measurement system using cameras are described for automatically berthing and controlling the ship equipped with side thrusters. In order to realize automatic ship berthing, it is indispensable that the berthing assistant system on the ship should continuously trace a target in the berth to measure the distance to the target and the ship attitude, such that we can make the ship move to the specified location. The considered system is made up of 4 apparatuses compounded from a CCD camera, a camera direction controller, a popular PC with a built in image processing board and a signal conversion unit connected to parallel port of the PC. The object of this paper is to reduce the image processing time so that the berthing system is able to ensure the safety schedule against risks during approaching to the berth. It could be achieved by composing the vector code image to utilize the gradient of an approximated plane found with the brightness of pixels forming a certain region in an image and verifying the effectiveness on a commonly used PC. From experimental results, it is clear that the proposed method can be applied to the measurement system for automatic ship berthing and has the image processing time of fourfold as compared with the typical template matching method.

• ETRI Journal
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• v.28 no.2
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• pp.247-249
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• 2006

In the development of a new wireless communications system, a versatile and accurate radio channel for indoor communications is needed. In particular, the investigation of radio transmission into buildings is very important. In this letter, we present an improved three-dimensional electromagnetic wave propagation prediction model for indoor wireless communications that takes into consideration building penetration loss. A ray tracing technique based on an image method is also employed in this study. Three-dimensional models can predict any complex indoor environment composed of arbitrarily shaped walls. A speed-up algorithm, which is a modified deterministic ray tube method, is also introduced for efficient prediction and computation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1343-1350
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• 2019

Converting boundary images to time-series makes it feasible to perform boundary matching even on a very large image database, which is very important for interactive and fast matching. In recent research, there has been an attempt to perform fast matching considering partial denoising by converting the boundary image into time series. In this paper, to improve performance, we propose an index-building method considering all possible arbitrary denoising parameters for removing arbitrary partial noises. This is a challenging problem since the partial denoising boundary matching must be considered for all possible denoising parameters. We propose an efficient single index-building algorithm by constructing a minimum bounding rectangle(MBR) according to all possible denoising parameters. The results of extensive experiments conducted show that our index-based matching method improves the search performance up to 46.6 ~ 4023.6 times.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.203-211
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• 2021

Image tampering detection and localization have become an active area of research in the field of digital image forensics in recent times. This is due to the widespread of malicious image tampering. This study presents a new method for image tampering detection and localization that combines the advantages of dilated convolution, residual network, and UNET Architecture. Using the UNET architecture as a backbone, we built the proposed network from two kinds of residual units, one for the encoder path and the other for the decoder path. The residual units help to speed up the training process and facilitate information propagation between the lower layers and the higher layers which are often difficult to train. To capture global image tampering artifacts and reduce the computational burden of the proposed method, we enlarge the receptive field size of the convolutional kernels by adopting dilated convolutions in the residual units used in building the proposed network. In contrast to existing deep learning methods, having a large number of layers, many network parameters, and often difficult to train, the proposed method can achieve excellent performance with a fewer number of parameters and less computational cost. To test the performance of the proposed method, we evaluate its performance in the context of four benchmark image forensics datasets. Experimental results show that the proposed method outperforms existing methods and could be potentially used to enhance image tampering detection and localization.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.49-54
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• 2007

In the 21th century, the age of image, people express and evaluate with images. Image is a symbol of a person or a thing. It simulates people's visual sense most quickly and precisely and is shared in the society. At the time, since it is acknowledged that there are few books available and lack of theoretical system with regard to image making, the purpose of this study was to get a theoretical access to image making by taking as an empirical case the case of Choi Byeongryeol, a candidate running for the congress in June 4, 1998 and combining it with theories of costume. Research methods employed here were to investigate the theoretical system of image making and fashion direction, and to analyze empirical cases. The boundary of the empirical case was limited to the candidate's fashion direction during the election period for 50 days from April 1998 to the election date June 4, 1998. The results of this study are as follows. First, personal image making aims at the establishment of one's own identity through building up an ideal image. Second, it is found that personal image making can make a complete image possible through fashion direction. Third, it is found that fashion direction functions as a symbol and communicative means with a result that the effect can penetrate to the society accurately and quickly. Fourth, it is found that fashion direction fit for a situation can enhance personal values and reinforce his or her competitive power to carry out the ultimate goals in the society. This study proved that fashion styling for personal image making expresses a person in a symbolic image, enhances his/her personal value in the society and, ultimately, contributes to the establishment of an individual's identity.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.1
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• pp.735-742
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• 2009

National Geographic Institute recently has produced a national paper map by means of a computer aided editing system using a national digital map 2.0. However, the map generalization should be made due to the portrayal difference between the digital map and the paper one and the criterion of the map generalization should be determined by the visual image. The tolerance limit of the map generalization has to be decided based on human vision. For this purpose, this study attempts to measure the size of the building on various scale map and then analyze its result. As a consequence, this study shows us that the building size eligible for human vision should be over 0.4mm in the short side of building on the map. The tolerance limit of an isolated building, a reduced building and a densely built-up area for the map generalization is based on the criterion mentioned above.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.11a
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• pp.173-178
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• 2005

Outdoor lighting is an important factor of the urban scape. As a night image of the city, outdoor lighting acts important roles. Cities of developed countries have already had there own night images. Regarding this, government encourages outdoor lighting of building by various ways to building owners. However, in present, owners of private buildings have not been up and coming about outdoor lighting more than those of public buildings in our country. From this point of view, this paper suggests a quantification method for economic effects of outdoor lighting and analyzes economic effects of outdoor lighting in advertising. A suggested measurement method of economic effects is difficult to measure all economic effects of outdoor lighting. Therefore, this measurement method limits the target to the private buildings.

• Journal of Distribution Science
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• v.15 no.8
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• pp.55-64
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• 2017

Purpose - PB products at convenience stores take up about 20% of all products, and strategies for differentiation from other companies and brand image building are very important. This study would investigate the strategy for differentiating PB products and successful brand building strategy, focusing on BGF Retail that is operating 'CU', the leader in the convenience store industry in Korea. Research design, data, and methodology - This study would attempt to make an exploratory approach to PB products limited to those in convenience stores. As a research subject, this study chose BGF Retail, the operator of CU, which is the leader in the convenience store industry in Korea and chose the case study method in order to examine the strategy for differentiating PB products in convenience stores more in depth. For this purpose, this study collected materials such as papers, newspaper articles and various reports on convenience store-related PB products and conducted an in-depth study including more practical contents through an interview with CU workers. Results - CU pursued the diversity of PB products and has had the diversity of products, more than 120 kinds. It founded a product research institute and has been in charge of the differentiation strategy from planning products to launching them. Changing the target layer of consumers to those in middle age of the 40s-50s, it succeeded in the strategy expanding the consumer class. In the long run, despite it changed the name of the company, it has built a successful image, and both revenue and operating profit have continuously grown up. Conclusions - In results, CU has reset the changing main target population, and the product research institute succeeded in the innovation of products, reflecting new trends the customers want. Through this study, the practical implications could be provided for competitors.