• Journal of the Korean housing association
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• v.17 no.4
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• pp.119-130
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• 2006

Apartment houses, the representative type of urban housing, are becoming an important element in Korea urban landscape. In this regard, this study aims to consider landscape in view of city residents reflecting human's visual perceptual characteristic, and in line with this, the urban landscape of apartment houses viewed from the urban center main intersections has been embodied according to the physical components of the intersections, which was followed by preference survey of the city residents, and then based on this, the visual-perceptual characteristics were examined. The findings are as follows: 1. The findings gained from the average of the landscape types indicate that the city residents are more satisfied when the shielding by surrounding buildings is minimized, view securing is relatively good, the whole complex is clearly observed because of its proximity to the visual point, and the view of the complex is well recognized from the focus point. 2. The examination concerning the preferred factors positively evaluated in terms of architectural planning shows that when the complex view is changeable sophisticated, makes the residents feel comfortable with its stable, open plan, and it's in harmony with surroundings, such housing attracts the city residents. 3. In terms of architectural planning factors, it turned out that the complex is more preferred when the visibility of the complex and the scale of surrounding green space are in good condition, and such elements of the complex as the sky line, the overall shape, the elevation, variation of the shape and height are harmonious with one another.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.3
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• pp.525-532
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• 2018

Recently, due to the advancements of sensor network technologies and camera technologies, there are increasing needs to effectively monitor the environment in a region that is difficult to access by using the visual sensor network that combines these two technologies. Since the image captured by the visual sensor reflects the natural phenomenon as it is, the quality of the image may deteriorate depending on the weather or time. In this paper, we propose an algorithm to improve the contrast of images using the characteristics of images obtained from visual sensors. In the proposed method, we first set the region of interest and then analyzes the change of the color value of the region of interest according to the brightness value of the image. The contrast of an image is improved by using the high contrast image of the same object and the analysis information. It is shown by experimental results that the proposed method improves the contrast of an image by restoring the color components of the low contrast image simply and accurately.

• The Transactions of the Korea Information Processing Society
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• v.6 no.4
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• pp.1022-1031
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• 1999

In this paper, we propose the framework of a visual language named VIOLA(VIsual Object-oriented Language for Multimedia Applications), which is developed for web authoring. VIOLA supports the user to construct HTML documents and CGI programs even if he/she doesn't know exact HTML tags and CGI programming. VIOLA, a user interface building part and a programming logic building part are combined by the data-flow model. the user interface building part provides direct manipulation and a WSIKWYG interface, and the program logic building part provides more intuitive interface by using predefined classes and the data-flow model. thus, even a novice user can construct sophisticated applications by simply moving or clicking the mouse. several classes which generate CGI codes are predefined, and they are represented with highly abstracted visual components, By reusing predefined classes, CGI codes are automatically generated. In VIOLA, all major steps in builidng generated wit HTML documents and Java CGI programs.

• Journal of the Korean Society of Costume
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• v.61 no.9
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• pp.39-49
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• 2011

The presented study was designed to investigate the attribution of the visual perception of decorating techniques that have often been witnessed in the realm of modern fashion since 2006. The form is more impressive, more suitable to convey a message and, most of all, more memorable. In this study, attempts were made to categorize and create an order of prioritization among components such as surrounding, pattern (closure), space arrangement, area, overlapping, and community (proximity) surrounding that comprise the place and arrangement of decorating techniques in modern fashion. The results were as follow: First, centered decorating technique surrounded by other techniques is prioritized. Second, the more standardized the clothing with patterns, the more it was noticed. Third, the space arrangement also had an impact on prioritization in the following order: center of the sight, horizon, vertical, and diagonal in relation to the central axis. Fourth, concentrated area attracted more attention. Fifth, when overlapped, what is placed in the front became the center of recognition. Sixth, the technique that formed a community was more recognized. Therefore, the study suggests that as the decorating technique is gaining more significance, these findings would help to find the most effective method to utilize an acute visual stimulus to apply for a technique and maximize its aesthetic effects.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.279-285
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• 2012

This study classified the categorization process of convergence products as a rule-based and a similarity-based categorization process. And we examined that how the categorization process was determined according to information types(visual vs. visual + verbal) about the components of two prototypes before convergence and thinking styles(holistic vs. analytic). The result of this study showed: (1) The rule-based categorization process appeared more in case of visual information with verbal information than only visual information. (2) Analytic thinkers chose a rule-based categorization process more than holistic thinkers. These findings provide the theoretical and practical implications to comprehend the categorization process of convergence products and the judgement for consideration set from various convergence products.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.149-155
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• 2007

Recently, various devices requiring text input such as mobile phone IPTV, PDA and UMPC are emerging. The frequency of text entry for them is also increasing. This study was focused on the evaluation of Korean text entry interface. Various models to evaluate text entry interfaces have been proposed. Most of models were based on human cognitive process for text input. The cognitive process was divided into two components; visual scanning process and finger movement process. The time spent for visual scanning process was modeled as Hick-Hyman law, while the time for finger movement was determined as Fitts' law. There are three questions on the model-based evaluation of text entry interface. Firstly, are human cognitive processes (visual scanning and finger movement) during the entry of text sequentially occurring as the models. Secondly, is it possible to predict real text input time by previous models. Thirdly, does the human cognitive process for text input vary according to users' text entry speed. There was time gap between the real measured text input time and predicted time. The time gap was larger in the case of participants with high speed to enter text. The reason was found out investigating Eye-Hand Coordination during text input process. Differently from an assumption that visual scan on the keyboard is followed by a finger movement, the experienced group performed both visual scanning and finger movement simultaneously. Arrival Lead Time was investigated to measure the extent of time overlapping between two processes. 'Arrival Lead Time' is the interval between the eye fixation on the target button and the button click. In addition to the arrival lead time, it was revealed that the experienced group uses the less number of fixations during text entry than the novice group. This result will contribute to the improvement of evaluation model for text entry interface.

• The Research Journal of the Costume Culture
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• v.20 no.3
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• pp.309-318
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• 2012

This study aimed to find the components of visual image by researching main image-related adjectives applied to high-waist skirts. In addition, it compared and analyzed the differences and mutual influences of visual images according to variations in the waistline and skirt length of high-waist skirts. The researchers made nine high-waist skirts-combinations of three different levels of waistlines and skirt lengths. The test involved 121 people who hold degrees in the field of Clothing and Textiles. The panels tested actual images of all models wearing the high-waist skirts shown on a computer screen. The results of the study are as follows.: Four factors affected the visual image as waist-height and skirt-length changed: attractiveness, upper-body compensation, length compensation, and hips compensation. Among these factors, attractiveness was estimated as the most important factor. The torso and the hip were highlighted as the waistline increased from 3cm to 11cm, due to the optical illusion of a tighter skirt wrapping the bust, waist, and hips. As the waistline increased, the stature and leg length increased, possibly revising the overall appearance. For the skirt length, a length measuring 20cm above the knees, proved to be most attractive. This resulted in elongated height and leg length, and a slimmer overall look.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.105-113
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• 2019

This study is to analyze the concentration of visual perception of the subject through the eye-tracking experiments targeting popular characters and to investigate it is effective to highlight which part of the character in inducing consumers' interest and curiosity. As a result of the study, the subjects paid more attention to the face than the character's body, and also noted a little attention to auxiliary elements such as pants, tees, shoes, and whiskers. These results mean there is clearly different factor in which the subject's gaze on the character frequently stays and does for a long time. Therefore, the designers should recognize the differences of the concentration of visual perception by character components as a differentiating factor to feel the emotional satisfaction such as the user's interest, empathy, and immersion in the character and actively reflect it when developing the character design. In addition, there was a difference in the visual perception concentration of each of the auxiliary elements, and if careful research is done on whether the influence factors are also due to individual characteristics or another influential factors, it will be a wider study on character design.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.105-114
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• 2021

This study aims to evaluate the differences in visual images due to the variations in the silhouette and jacket type of men's suits. Six samples were used for this study: 3 examples had variations in the silhouette while 2 variations were in the jacket type. They were evaluated using a 7-point rating scale and a survey was conducted among 80 fashion students. The data was analyzed by Factor Analysis, ANOVA, Scheffé Test, and the MCA method. This study's results are as follows: 1) According to Factor Analysis, the components of visual evaluation by the silhouette and the jacket type of men's suit were classified into: attractiveness, masculinity, practicality, and naturalness. Among these factors, attractiveness and masculinity were evaluated to be the most important factors. 2) Men's suits with a single-breasted jacket had a simple and practical images in fitted and boxy silhouettes. Double-breasted jacket suits showed sexy, refined, and chic images in the fitted and slim silhouettes, and expressed an adult, profound, and conservative images in the boxy and fitted silhouettes. 3) The silhouette and the jacket type of men's suit interacted with masculinity and the practicality. Fitted and slim silhouette suits had different images that looked adult, profound, and conservative depending on the jacket type, but the boxy silhouette suit did not show the same effect. 4) According to the MCA on the attractiveness and the naturalness, the jacket type affected the visual image of men's suit more than the silhouette. Double-breasted jacket suits had more sexy, refined, and chic image than the single-breasted jacket suits. Men's suits with a single-breasted jacket had a more comfortable and natural image than those with a double breasted jacket.

• Smart Structures and Systems
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• v.31 no.4
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• pp.351-363
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• 2023

Visual structural inspections are an inseparable part of post-earthquake damage assessments. With unmanned aerial vehicles (UAVs) establishing a new frontier in visual inspections, there are major computational challenges in processing the collected massive amounts of high-resolution visual data. We propose twin deep learning models that can provide accurate high-resolution structural components and damage segmentation masks efficiently. The traditional approach to cope with high memory computational demands is to either uniformly downsample the raw images at the price of losing fine local details or cropping smaller parts of the images leading to a loss of global contextual information. Therefore, our twin models comprising Trainable Resizing for high-resolution Segmentation Network (TRS-Net) and DmgFormer approaches the global and local semantics from different perspectives. TRS-Net is a compound, high-resolution segmentation architecture equipped with learnable downsampler and upsampler modules to minimize information loss for optimal performance and efficiency. DmgFormer utilizes a transformer backbone and a convolutional decoder head with skip connections on a grid of crops aiming for high precision learning without downsizing. An augmented inference technique is used to boost performance further and reduce the possible loss of context due to grid cropping. Comprehensive experiments have been performed on the 3D physics-based graphics models (PBGMs) synthetic environments in the QuakeCity dataset. The proposed framework is evaluated using several metrics on three segmentation tasks: component type, component damage state, and global damage (crack, rebar, spalling). The models were developed as part of the 2^nd International Competition for Structural Health Monitoring.