• Journal of architectural history
• /
• v.29 no.3
• /
• pp.51-66
• /
• 2020

Paldalmun gate was built in 1794 as the southern gate of Suwon Hwaseong. The signboard's paintworks of Paldalmun gate was applied to the signboard of the state-run building in the 18th century. The signboard of Paldalmun gate was repainted along with the building when repaired in 1969. In that time, the signboard's paintworks during the reign of Jeongjo era was transformed. The purpose of this study is to restore the image of Jeongjo era paintworks on the Paldalmun's signboard, which has been modified since the 1960s due to modification. For the purpose of the examination, we examined the traces of paintworks remaining on the signboard of Paldalmun gate and examined several state-run signboards decorated with 'Yukhwamoon' paintings similar as the signboard of Paldalmun gate, which made around the 18th century. Through the above-mentioned researches, typical color features were identified in the decorated with 'Yukhwamoon' paintings on signboard in the 18th and 19th centuries. In addition, the type of pigment used in the signboard's paintwork of Paldalmun gate was verified through the 『Hwaseong Seongyeok Uigwe(華城城役儀軌)』 and the 『Han-gul Jeongri Uigwe(한글整理儀軌)』, while analyzing the characteristics of age-related deterioration according to the type of paintworks in various traces of pigment coatings remaining on the signboard of Paldalmun gate.

• Journal of the Ergonomics Society of Korea
• /
• v.17 no.1
• /
• pp.55-65
• /
• 1998

This paper describes study of design specifications of restaurant/cafe signboard for new generation. Signboard is an important element in restaurant/cafe, especially for sensitive new generation, that affects image of and first impression on it. The design elements of a signboard that were chosen for analysis were background color, lettering, and letter color, which were found to have strong influences on impression of signboard in questionnaire survey. Using different combination of these design elements, fifteen samples were created for subjective evaluation. 30 pairs of adjectives which were shown to be related to signboard significantly in the first evaluation were used by fifteen subjects, twelve men and three women. Subjective evaluations were carried out by semantic differential methods, and then analyzed by using multivariate analyses. Among three design elements, the background color affected impression of signboard most significantly. The relationships between design elements (item/category) and subjective impressions were suggested using quantification theory I, which could be used as design guidelines when designing restaurant/cafe signboard with specific human sensibility ergonomic characteristics.

• International journal of advanced smart convergence
• /
• v.8 no.3
• /
• pp.131-137
• /
• 2019

This study proposes a method of learning and recognizing the characteristics that are the classification criteria of Hangul using Mask R-CNN, one of the deep learning techniques, to recognize and classify atypical Hangul characters. The atypical characters on the Hangul signboard have a lot of deformed and colorful shapes beyond the general characters. Therefore, in order to recognize the Hangul signboard character, it is necessary to learn a separate atypical Hangul character rather than the existing formulaic one. We selected the Hangul character '닭' as sample data and constructed 5,383 Hangul image data sets and used them for learning and verifying the deep learning model. The accuracy of the results of analyzing the performance of the learning model using the test set constructed to verify the reliability of the learning model was about 92.65% (the area detection rate). Therefore we confirmed that the proposed method is very useful for Hangul signboard character recognition, and we plan to extend it to various Hangul data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.38 no.1
• /
• pp.69-83
• /
• 2020

Signboards are standardized according to national legislation for the safety of pedestrians and disaster prevention in urban areas. Signboards should be installed according to the standard. However, it is not easy to manage the signboards systematically due to the number of signboards that have been installed for a long time and frequently changing stores. In this study, we proposed a methodology for distinguishing signboards that deviated from the standard. To this end, the signboard was photographed using a stereo camera, and then the three-dimensional coordinates of the signboard were determined from the signboard image to calculate the signboard's horizontal and vertical dimensions to determine the signboard's specifications. In order to determine the interior and relative orientation parameters of the stereo camera, an outdoor three-dimensional building was used as the test field. Then, the image coordinates of four vertices of the signboard were extracted from the signboard image taken from about 15m ~ 22m distance using deep learning. After determining the signboard's three-dimensional coordinates by using the interior and relative orientation parameters of the stereo camera and the image coordinates of the four vertices of the signboard, the horizontal and vertical sizes of the signboard were calculated, resulting in an error of about 2.7cm on average. The specifications for the ten flat-type signboards showed that all of the horizontal sizes were compliant with the specifications, but the vertical sizes exceeded about 36.5cm on average. Through this, it was found that maintenance of flat-type signboards is needed overall.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.2
• /
• pp.167-173
• /
• 2018

Each municipality is promoting signboard improvement projects, but the effectiveness is not great. The main reason for this is that when the signboard is manufactured the location of the shop is only dependent on the visual aspiration effect and it is not harmonized with the building by applying uniform design. The signboard are installed almost everywhere in the city, such as residential, natural and commercial environments. And the signboard provides various services such as traffic information and life safety to customers. Also, by applying design and functional elements, we can enhance the competitiveness of companies and improve the urban environment by enhancing the mutual connection effect of customers and space. The purpose of this study is to investigate the effect of design elements and functional elements of the signboard on customer preference. In other words, we conducted surveys and analyzes of 152 specialists and non-experts (customers, self-employed). As a result of the study, the following conclusions were drawn. First, the functions and design elements of signboards are important factors that have a positive effect on customer preference. Second, the function of the signboard has a positive(+) influence on the customer preference, and the information providing function and the corporate image side function directly affect the customer preference. Third, color elements have a positive(+) meaningful effect on customer preference. Especially, similar color sign affects customer preference positively. Fourth, the signboard design component has a positive(+) significant effect on customer preference. In particular, typefaces have a positive effect on customer preference.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.4
• /
• pp.219-231
• /
• 2019

The specifications of signboards are set for each type of signboards, but the shape and size of the signboard actually installed are not uniform. In addition, because the colors of the signboard are not defined, so various colors are applied to the signboard. Methods for recognizing signboards can be thought of as similar methods of recognizing road signs and license plates, but due to the nature of the signboards, there are limitations in that the signboards can not be recognized in a way similar to road signs and license plates. In this study, we proposed a methodology for recognizing plate-type signboards, which are the main targets of illegal and old signboards, and automatically extracting areas of signboards, using the deep learning-based Faster R-CNN algorithm. The process of recognizing flat type signboards through signboard images captured by using smartphone cameras is divided into two sequences. First, the type of signboard was recognized using deep learning to recognize flat type signboards in various types of signboard images, and the result showed an accuracy of about 71%. Next, when the boundary recognition algorithm for the signboards was applied to recognize the boundary area of the flat type signboard, the boundary of flat type signboard was recognized with an accuracy of 85%.

• Journal of Broadcast Engineering
• /
• v.22 no.3
• /
• pp.339-349
• /
• 2017

In this paper, we propose a technique for smoothly replacing a signboard image in a video clip with another signboard image and an application for performing it. In order to replace the signboard area in the image, it must be tracked and the shape of the signboard changed. Also, when an obstruction occurs due to a front object, the obscured area is extracted so that only the signboard area can be replaced, and color correction is performed for natural synthesis. The proposed application receives the information required by the algorithm from the user and explains the required functions, thereby disclosing the entire process in which the algorithm is actually implemented and tested. This can be used for a variety of media, and can be used as a means to remove the indirect advertisement that is often seen, and it can also be used as a new advertisement model in which another advertisement image is inserted into the image to be advertised.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.38 no.3
• /
• pp.197-209
• /
• 2020

Signboards are installed in different types and sizes depending on the shop characteristics. However, the local government is having difficulty managing signboards with frequent opening and closing of stores and insufficient management personnel. In this study, a methodology was proposed to standardize and efficiently manage signboard information. To this end, the signboard display method of the enforcement ordinance related to outdoor advertising was analyzed to define the attribute elements of standard signboard data. In addition, physical information of signboards was obtained through signboard recognition technology, which is a prior study, and attribute elements of signboard standard data were defined through information that can be read with the naked eye, building integration information of the Ministry of the Interior and Safety, and street name address. In order to standardize the signboard information by spatial characteristics, data product specifications and metadata were defined according to the national spatial information standard. Lastly, standard data for signboards were produced in XML (Extensible Markup Language) format for compatibility, and XSD (XML Schema Definition) was defined for XML integrity so that data validity could be verified. Through this, a standard data model for the informatization of signboards was designed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.1
• /
• pp.401-408
• /
• 2019

This study numerically examined the maximum wind pressure distribution of a billboard on the roof of a middle-rise building. The deformation caused by the maximum wind pressure was examined. For the numerical analysis, the signboard was assumed to be installed on $(b)20m{\times}(d)10m{\times}(h)$ buildings. The maximum wind pressure was measured using four models with the standard model and different sizes of the signboard. The numerical analysis showed that the horizontal deformation predominantly occurs as the shape of the signboard becomes closer to a rectangle, and high wind pressure and deformation occur at the corners of both ends. As the height of the signboard increases, vertical deformation predominantly occurs, and static pressure forms on the backside. When the height is lower than the width of the signboard, the wind pressure is concentrated on the center of the roof. Therefore, the distribution of the maximum wind pressure is stable, and the effect of the wind pressure is relatively low as the height-to-width ratio approaches 1.

• Proceedings of the Korea Society of Design Studies Conference
• /
• 2002.11b
• /
• pp.16-17
• /
• 2002