• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.336-343
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• 2013

The study analyzed behaviors of users in cafeterias and spatial environmental images as well to understand what factors would affect the users' satisfaction in the cafeterias. The study also looked into how interior space factors would influence the users, what the users actually want from the cafeterias when they use them and lastly, what kinds of behaviors the users would do while in the cafeteria. Through those researches, the study proposed solutions to improve the users' satisfaction in cafeterias. As a field survey research, the study observed actual conditions of cafeterias at a university as conducting spatial environmental analysis to present ways to improve students' satisfaction in cafeterias at their university. In order to achieve the research goal, the study carried out a literature analysis and a survey and visited the cafeterias to understand both actual conditions and environments of cafeterias at a university. The study also had in-depth interviews with the students. The subject of the study was those college students who have been using four cafeterias at three campuses of D university. Data was collected via surveys, observations and interviews. With the students as the research subject, the study investigated and analyzed current status of the students' using of the cafeterias, actual utilization, spatial factors and satisfaction factors. The study was mainly developed with a survey conducted and by distributing basically 200 copies of the survey each to the campuses, the study gave out 200 copies each to Suseong Campus in Daegu and Oseong Campus in Gyeongsan but 400 copies at a time to Samsung Campus in Gyeongsan because it was the main campus and had two cafeterias. To sum up, each department was instructed to answer 20~40 copies of the survey in the end. Out of 800 copies in total, 188 copies from Oseong Campus, 153 copies from Suseong Campus and 386 copies from Samsung Campus which would add up to 727 were observed to be faithful enough to be used as statistics for the study.

• Korean Institute of Interior Design Journal
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• v.22 no.1
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• pp.11-18
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• 2013

The Contemporary consumer society demands companies to emphasize more on the brand marketing that can deliver the brand identities distinguished from those of competing companies. In today's environment, the meaning of consumption is not only a simple purchase of a product, but also assimilation into images, experience and emotional aspects of the brand. The flagship stores of brands take the advantage of the tendency seriously and utilize the envelopes of the building as marketing catalysts to establish their brand identities. This paper aims to investigate the possibility of the architectural envelope as a marketing element to establish the brand identities, by analyzing the design techniques that enhance the visual effects utilizing innovative application of material, pattern and connection details. it is studied that the function of architectural envelope's change from past to recent date and role of architectural envelope as means of marketing for expression brand image in contemporary commerce space and elements that can be applied on architectural envelope with theoretical consideration about marketing and brand identity. Also this paper will research about experience elements because the process for consumers to recognize brand image with architecture is the process of visual experience. And through example research, this paper will study interrelationship between visual system of cognition to be expressed on architectural envelope.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.8
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• pp.691-700
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• 2000

The standard volume ray-tracing, optimized with octree, needs to repeatedly traverse hierarchical structures for each ray that often leads to redundant computations. It also employs the expensive 3D interpolation for producing high quality images. In this paper, we present a new ray-casting method that efficiently computes shaded colors and opacities at resampling points by traversing octree only once. This method traverses volume data in object-order, finds resampling points on slices incrementally, and performs resampling based on 2D interpolation. While the early ray-termination, which is one of the most effective optimization techniques, is not easily combined with object-order methods, we solved this problem using a dynamic data structure in image space. Considering that our new method is easy to implement, and need little additional memory, it will be used as very effective volume method that fills the performance gap between ray-casting and shear-warping.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.255-262
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• 2007

This paper proposes an enhanced skin color-based detection method to find a region of human face in color images. The proposed detection method combines three color spaces, RGB, $YC_bC_r$, YIQ and builds color union histograms of luminance and chrominance components respectively. Combined color union histograms are then fed in to the back-propagation neural network for training and Levenberg-Marquadt algorithm is applied to the iteration process of training. Proposed method with Levenberg-Marquadt algorithm applied to training process of neural network contributes to solve a local minimum problem of back-propagation neural network, one of common methods of training for face detection, and lead to make lower a detection error rate. Further, proposed color-based detection method using combined color union histograms which give emphasis to chrominance components divided from luminance components inputs more confident values at the neural network and shows higher detection accuracy in comparison to the histogram of single color space. The experiments show that these approaches perform a good capability for face region detection, and these are robust to illumination conditions.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.7
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• pp.340-353
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• 2008

A computational color palette extraction model is introduced to describe paint brush objectively and efficiently. In this model, a color palette is defined as a minimum set of colors in which a painting can be displayed within error allowance and extracted by the two step processing of color grouping and major color extraction. The color grouping controls the resolution of colors adaptively and produces a basic color set of given painting images. The final palette is obtained from the basic color set by applying weighted k-means clustering algorithm. The extracted palettes from several famous painters are displayed in a 3-D color space to show the distinctive palette styles using RGB and CIE LAB color models individually. And the two experiments of painter classification and color transform of photographic image has been done to check the performance of the proposed method. The results shows the possibility that the proposed palette model can be a computational color analysis metric to describe the paint brush, and can be a color transform tool for computer graphics.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.532-537
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• 2009

The necessity of intelligent surveillance system is gradually considered seriously from the space where the security is important. In this paper, we embodied unmanned intelligent system by developing embedded mobile robot based on images and sounds tracking. For objects tracking, we used block-matching algorithm and for sound source tracking, we calculated time differences and magnitude dissimilarities of sound. And we demonstrated the superiority of intruder tracking algorithm through the embodiment of Pan-Tilt camera and sound source tracking module using system, Network camera and mobile robot using system and mobile robot using system. By linking security system, the suggested system can provide some interfacing functions for the security service of the public facilities as well as that of home.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.699-706
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• 2015

Earthwork is executed to provide a space for facility structures, and plays an important role in the construction operation. Contractors usually put a combination of construction vehicles to execute the earthwork operation. These construction vehicles need to interface with each other for productivity improvement. The objective of this study is to prototype an earthwork supportive system for information interface between construction vehicles. The study is conducted in a sequence of 1) analysis of information interface during earthwork; 2) data modeling of earthwork attributes; and 3) development of a prototype for the earthwork supportive system. The output screen images of the prototype show that the earthwork supportive system can improve communication between construction vehicles by facilitating information interface during earthwork.

• Tunnel and Underground Space
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• v.25 no.2
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• pp.144-154
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• 2015

Mechanical energy is accumulated in the object when stress is exerted on rock specimens, and the failure is occurred when the stress is larger than critical stress. The accumulated energy is emitted as various forms including physical deformation, light, heat and sound. Uniaxial compression strength test and point load strength test were carried out in low temperature environment, and thermal variation of rock specimens were observed and analyzed quantitatively using thermal infrared camera images. Temperature of failure plane was increased just before the failure because of concentration of stress, and was rapidly increased at the moment of the failure because of the emission of thermal energy. The variations of temperature were larger in diorite and basalt specimens which were strong and fresh than in tuff specimens which were weak and weathered. This study can be applied to prevent disasters in rock slope, tunnel and mine in cold regions and to analyze satellite image for predicting earthquake in cold regions.

• Tunnel and Underground Space
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• v.22 no.6
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• pp.393-402
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• 2012

A behavior of ridge-cut rock slope had been monitored by installing inclinometers and regional slope movement toward rear side of cut face was detected. To delineate the governing factors of slope behavior, especially backward slip of ridge-cut slope, petrographic characteristics of rock cores obtained from four drilled boreholes had been examined. BIPS images inside boreholes had been acquired and structural characteristics of slope rock had been studied. Mechanical properties of discontinuity planes distributed in the drilled core had been measured and the shear strength of coal seam imbedded-discontinuity planes also had been obtained by performing the direct shear test. Monitoring results of slope behavior had been analyzed by comprehensibly considering both the mechanical and structural characteristics of slope rock and coal seam-imbedded discontinuity planes, and the potential governance of coal seam and clay minerals embedded in the joint plane on the regional slope behavior has been also identified.

• Tunnel and Underground Space
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• v.29 no.6
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• pp.508-522
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• 2019

Because of the slope failure, not only property damage but also human damage can occur, slope stability analysis should be conducted to predict and reinforce of the slope. This paper, defines the ground areas that can be characterized in terms of slope failure such as Rockmass jointset, Rockmass fault, Soil, Leakage water and Crush zone in sloped images. As a result, it was shown that the deep learning instance segmentation network can be used to recognize and automatically segment the precise shape of the ground region with different characteristics shown in the image. It showed the possibility of supporting the slope mapping work and automatically calculating the ground characteristics information of slopes necessary for decision making such as slope reinforcement.