• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.88-96
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• 2018

The income level of people in South Korea has risen as the gross national income per capita reached the milestone of 30,000 dollars. More and more consumers try to change their houses according to their tastes just like they express themselves through clothes, bags, and other fashion items, thus pursuing value-based consumption. The changes to the housing culture including the greater percentage of one- or two-person households and the growing trend of lease and monthly rent have made consumers increase their demands for products to express their lifestyles. As a result, global lifestyle shops with characteristic and diverse concepts entered the South Korean market and were joined by South Korean fashion brands, large-sized stores, department stores, and fancy stationery manufacturers, which launched their own brands, in the expansion of lifestyle shops across the nation. Lifestyle shops have a couple of unique attributes including the relatively clear selection of target consumers and a clear set of VMD strategies accordingly. Based on a judgment that there was cost differentiation among brands, the investigator categorized the comparison and analysis criteria into high, middle, and low prices to apply case analysis. This study set out to analyze VMD strategies for spatial composition through cost differentiation among lifestyle shops, take the results into total consideration, and propose an effective and competitive VMD strategy for lifestyle shops through spatial composition elements.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.922-924
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• 2015

Recently, the image processing technologies using the public media such as the film, TV, camera and advertisement have been rapidly developed. However, the deterioration occurs with the image in the process of data processing, transmission and storage, and the typical cause of such deterioration is the salt and pepper noise. Typical filters to remove the salt and pepper noise include CWMF(center weighted median filter) and AMF(adaptive median filter) but such filters bring more or less insufficient characteristics of noise removal and visual error as the noise density gets higher. Thus, this paper proposed the median filter which applied the local mask segmented to 4 areas in order to remove the salt and pepper noise effectively and used PSNR(peak signal to noise ratio) as a criterion of judgment.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2003.11a
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• pp.301-306
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• 2003

The main gate of university is a symbolic role to grasp the its activities within a limited area. The form or shape is various at its circumstances such as activity type, region, etc. The study aimed at offering the information to grasp the fixed quantity to an university gate plan which analyzed a psychological judgment criteria according to form or shape characteristics of the university main gate. It selected ten universities through a classification of the types. The twenty adjective phrases were extracted by review of the further research. After then, it extracted to draw high adjective in observers visual image formation. This study analyzed the preference, symbolized representation of the university main gate. The results are summarized as follows : 1. The symbol and representation of form has a high correlation. In other words, the symbolic scale would be high positively when the representation scale be high. 2. Eight items among the twenty adjective items appeared to explain the university main gates. The twelve items of them wouldn't be related to grasp the main gate

• International Journal of Highway Engineering
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• v.14 no.1
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• pp.1-8
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• 2012

The horizontal alignment of road is deeply related with the stability of the road and traffic capacity. It is necessary to analyze horizontal alignment of road accurately for efficient maintenance of the road and relevance judgment about the standard. Recently the study on horizontal alignment of road using Lidar data and GPS was concluded, but they were many problem analyzing horizontal alignment radius of curvature in wide area. In this study, the tool which the radius of curvature can evaluate the suitability about "Rules about the Road Structure & Facilities Standards" by using center lines of the road of the digital map tries to implement on GIS. The interface was designed and implemented which can automatically estimate the Road Centerline Horizontal Alignment by using $ESRI^{(R)}$ $ArcObject^{TM}$.

• Structural Monitoring and Maintenance
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• v.2 no.3
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• pp.181-197
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• 2015

Assessing the condition of paint on civil structures is an important but challenging and costly task, in particular when it comes to large and complex structures. Current practices of visual inspection are labour-intensive and time-consuming to perform. In addition, this task usually relies on the experience and subjective judgment of individual inspectors. In this study, hyperspectral imaging and classification techniques are proposed as a method to objectively assess the state of the paint on a civil or other structure. The ultimate objective of the work is to develop a technology that can provide precise and automatic grading of paint condition and assessment of degradation due to age or environmental factors. Towards this goal, we acquired hyperspectral images of steel surfaces located at long (mid-range) and short distances on the Sydney Harbour Bridge with an Acousto-Optics Tunable filter (AOTF) hyperspectral camera (consisting of 21 bands in the visible spectrum). We trained a multi-class Support Vector Machines (SVM) classifier to automatically assess the grading of the paint from hyperspectral signatures. Our results demonstrate that the classifier generates highly accurate assessment of the paint condition in comparison to the judgement of human experts.

• Journal of Korea Game Society
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• v.21 no.5
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• pp.105-114
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• 2021

In this study, we analyzed the motion animation of game characters, which is a visual part of the game elements for 'Hit Impact'. The game selected for analysis focused on the movements of the characters in the arcade game , which is thought to have a weak 'Hit Impact' and looked for the cause. We also analyzed the differences in the motion of the characters in the home transplant version of , which is considered to have improved 'Hit Impact', compared to the arcade version. As a result of the analysis, it was found that the reason for the weak 'Hit Impact' in the arcade version was mainly due to the wrong timing and judgment of hitting and hitting movements, and at the same time, supplemented physical reactions and stun, camera directing, and hitting effects could have a significant impact on improving 'Hit Impact'.

• Fashion & Textile Research Journal
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• v.21 no.4
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• pp.401-411
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• 2019

Non-contact judgment and evaluation for products are increasingly needed along with a rapid environmental change in fashion that sows urgency in the need to implement services that allows users to judge and experience a tactile sense in a fashion product without actual contact. Technological development is required to provide users with syn-aesthetic experiences that integrate the visual, tactile and the auditory. There is also a need to conduct research to increase immersion that provides users with ICT-related experiences communicated through fashion images. The study analyzed demands for haptic communication technology by Korean users in immersive VR fashion product shopping. Accordingly, it defined haptic communication through literature research, investigated immersion in the VR environment and conducted in-depth interviews for haptic communication applicable to VR shopping. Findings show that hedonic reactions by fantasy, emotion and fun function are an important motive in selecting VR shopping. VR fashion product shopping steps were divided into 4: move to store, search in store, search of product and purchase based on offline store shopping experience. It defined the haptic communication by steps and analyzed the types of the haptic feedback to be implemented. The study results provide basic data for developing haptic communication technology that can enhance e a sense of the presence and immersion experiences that can help lay a groundwork for pilot studies on the convergence of the virtual and the real.

• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.27-34
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• 2018

Industrially, die-casting products are formed through casting, and so the methods to inspect the defects inside them are very restrictive. External inspection methods including visual inspection, sampling judgment, etc. enables researchers to inspect possible external defects, but x-ray inspection equipment has been generally used to inspect internal ones. Recently, they have been also applying three-dimensional internal inspections using CT equipment. However, they have their own limitations in applying to the use of industrial inspection due to limited detection size and long calculation time. To overcome the above problems, this paper has suggested a method to inspect internal defects by comparing the CAD data of the product to be inspected with the 3D data of the CT image. In this paper, we proposed a method for fast and accurate inspection in three dimensions by applying x-ray inspection to find internal defects in industrial parts such as aluminum die casting products. To show the effectiveness of the proposed method, a series of experiments have been carried out.

• Korean Journal of Biological Psychiatry
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• v.1 no.1
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• pp.109-116
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• 1994

It is not known whether negative symptoms and cognitive functions are dissociable or improvements in symptoms are reflected in improvements in cognitive functions in chronic schizophrenic patients. We administered clozapine to evaluate its effect on cognitive functions in chronic schizophrenic patients and to show correlations between improvement in psychotic symptoms and in cognitive functions. Neuropsychological tests such as Wisconsin Card Sorting Test, Digit Span test and Judgment of Line Orientation Test were applied to 16 chronic schizophrenic patients at baseline and after 9 months of treatment with clozapine. Using BPRS we assessed psychopathology before initiation of clozapine and at 9 months. Clozapine improved both positive and negative symptoms in chronic schizophrenic patients significantly. After nine months of clozapine treatment, significant improvements occurred in attention, short-term memory and visual perception ability. And interestingly we noted the trend of improvement in executive functions even though they were not statistical significant. Any significant correlations between the clinical improvement and change in congnitive functions were not observed. Long-term treatment with clozapine improved parts of cognitive functions of chronic schizophrenics. The results of the study suggest that deficits in simple cognitive functions as well as psychotic symptoms are improved after 3 month period of short-term treatment, but executive functions requiring more sophisticated processing of information could be improved after more than 9 months of long-term treatment.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.35-42
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• 2020

In this study, we propose a crack detection method using limited data with a U-Net based image inpainting technique that is a modified unsupervised anomaly detection method. Concrete cracking occurs due to a variety of causes and is a factor that can cause serious damage to the structure in the long term. In general, crack investigation uses an inspector's visual inspection on the concrete surfaces, which is less objective in judgment and has a high possibility of human error. Therefore, a method with objective and accurate image analysis processing is required. In recent years, the methods using deep learning have been studied to detect cracks quickly and accurately. However, when the amount of crack data on the building or infrastructure to be inspected is small, existing crack detection models using it often show a limited performance. Therefore, in this study, an unsupervised anomaly detection method was used to augment the data on the object to be inspected, and as a result of learning using the data, we confirmed the performance of 98.78% of accuracy and 82.67% of harmonic average (F1_Score).