• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.1-8
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• 2009

In this paper, we propose a home medical system that integrates a self-diagnosing disease classification system and a tele-consulting system by communication technology. The proposed disease classification system supports to self-diagnose the health condition based on oriental medical science using fuzzy neural network algorithm. The prepared database includes 72 different diseases and their associated symptoms based on a famous medical science book "Dong-eui-bo-gam". The proposed system extracts three most prospective diseases from user's symptoms by analyzing disease database with fuzzy neural network technology. Technically, user's symptoms are used as an input vector and the clustering algorithm based upon a fuzzy neural network is performed. The degree of fuzzy membership is computed for each probable cluster and the system infers the three most prospective diseases with their degree of membership. Such information should be sent to medical doctors via our tele-consulting system module. Finally a user can take an appropriate consultation via video images by a medical doctor. Oriental medical doctors verified the accuracy of disease diagnosing ability and the efficacy of overall system's plausibility in the real world.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.3
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• pp.354-380
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• 2010

Cities are the most important type of tourist destination across the world, and yet urban areas have neglected in most academic studies of tourism. Urban destinations serve as gateways for tourist entry to the country, as centers of accommodation and a base for excursion to rural areas as well as destinations in their own right. Increasingly cities rely on image promotion to attract tourists to cities. A city's image is the sum of beliefs, ideas, and impressions that a people have of a city. Image has always been of great interest and concern to city marketers. The image improvement is very important especially in urban tourism development because tourism overwhelmingly depends on image. The cost and effectiveness of the image improvement strategy depends on the city's current image and real attributes. Some cities are blessed with positive images. They don't require changing the image so much as amplifying it and delivering it to more target groups. Many cities are stuck with a negative image. They need to remove it and make a positive out of a negative to correct it. Image reversals, however, are difficult to accomplish. Some cities are not well known because they are small, lack attractions, or don't advertise. They need to identify, develop, and disseminate a strong positive image for the city.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.63-71
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• 2012

Recently, web portals have been offering georeferenced SLI(Street-Level Imagery) services, such as Google Streetview. The SLI has a distinctive strength over aerial images or vector maps because it gives us the same view as we see the real world on the street. Based on the characteristic, applicability of the SLI can be increased substantially through conflation with other spatial datasets. However, spatial inconsistency between different datasets is the main reason to decrease the quality of conflation when conflating them. Therefore, this research aims to remove the spatial inconsistency to conflate an SLI with a widely used 2D vector map. The removal of the spatial inconsistency is conducted through three sub-processes of (1) road intersection matching between the SLI trace and the road layer of the vector map for detecting CPPs(Control Point Pairs), (2) inaccurate CPPs filtering by analyzing the trend of the CPPs, and (3) local alignment using accurate CPPs. In addition, we propose an evaluation method suitable for conflation result including an SLI, and verify the effect of the removal of the spatial inconsistency.

• Journal of Korea Game Society
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• v.7 no.1
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• pp.31-42
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• 2007

In the natural world, most materials such as skin, marble and cloth are translucent. Their appearance is smooth and soft compared with metals or mirrors. In this paper, we propose a new GPU based hierarchical rendering technique for translucent materials, based on the dipole diffusion approximation, at interactive rates. Information of incident light, position, normal, and irradiance, on the surfaces are stored into 2D textures by rendering from a primary light view. Huge numbers of pixel photons are clustered into quad-tree image pyramids. Each pixel, we select clusters (sets of photons), and then we approximate multiple subsurface scattering term with the clusters. We also introduce a novel hierarchical screen-space interpolation technique by exploiting spatial coherence with early-z culling on the GPU. We also build image pyramids of the screen using mipmap and pixel shader. Each pixel of the pyramids is stores position, normal and spatial similarity of children pixels. If a pixel's the similarity is high, we render the pixel and interpolate the pixel to multiple pixels. Result images show that our method can interactively render deformable translucent objects by approximating hundreds of thousand photons with only hundreds clusters without any preprocessing. We use an image-space approach for entire process on the GPU, thus our method is less dependent to scene complexity.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.485-494
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• 2008

Huge amounts of various web items such as keywords, images, and web pages are being made widely available on the Web. The popularities of such web items continuously change over time, and mining temporal patterns in popularities of web items is an important problem that is useful for several web applications. For example, the temporal patterns in popularities of search keywords help web search enterprises predict future popular keywords, enabling them to make price decisions when marketing search keywords to advertisers. However, presence of millions of web items makes it difficult to scale up previous techniques for this problem. This paper proposes an efficient method for mining temporal patterns in popularities of web items. We treat the popularities of web items as time-series, and propose gapmeasure to quantify the similarity between the popularities of two web items. To reduce the computation overhead for this measure, an efficient method using the Fast Fourier Transform (FFT) is presented. We assume that the popularities of web items are not necessarily following any probabilistic distribution or periodic. For finding clusters of web items with similar popularity trends, we propose to use a density-based clustering algorithm based on the gap measure. Our experiments using the popularity trends of search keywords obtained from the Google Trends web site illustrate the scalability and usefulness of the proposed approach in real-world applications.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.1
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• pp.19-30
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• 2007

Modeling 3D buildings is an essential process to revive the real world into a computer. There are two ways to create a 3D building model. The first method is to use the building layer of 1:1000 digital maps based on high density point data gained from airborne laser surveying. The second method is to use LiDAR point data with digital images achieved with LiDAR. In this research we tested one sheet area of 1:1000 digital map with both methods to process a 3D building model. We have developed a process, analyzed quantitatively and evaluated the efficiency, accuracy, and reality. The resulted differed depending on the buildings shape. The first method was effective on simple buildings, and the second method was effective on complicated buildings. Also, we evaluated the accuracy of the produced model. Comparing the 3D building based on LiDAR data and digital image with digital maps, the horizontal accuracy was within ${\pm}50cm$. From the above we derived a conclusion that 3D building modeling is more effective when it is based on LiDAR data and digital maps. Using produced 3D building modeling data, we will be utilized as digital contents in various fields like 3D GIS, U-City, telematics, navigation, virtual reality and games etc.

• 재활복지
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• v.21 no.3
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• pp.129-146
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• 2017

In an event of an emergency, such as fire in a building, visually impaired and blind people are prone to exposed to a level of danger that is greater than that of normal people, for they cannot be aware of it quickly. Current fire detection methods such as smoke detector is very slow and unreliable because it usually uses chemical sensor based technology to detect fire particles. But by using vision sensor instead, fire can be proven to be detected much faster as we show in our experiments. Previous studies have applied various image processing and machine learning techniques to detect fire, but they usually don't work very well because these techniques require hand-crafted features that do not generalize well to various scenarios. But with the help of recent advancement in the field of deep learning, this research can be conducted to help solve this problem by using deep learning-based object detector that can detect fire using images from security camera. Deep learning based approach can learn features automatically so they can usually generalize well to various scenes. In order to ensure maximum capacity, we applied the latest technologies in the field of computer vision such as YOLO detector in order to solve this task. Considering the trade-off between recall vs. complexity, we introduced two convolutional neural networks with slightly different model's complexity to detect fire at different recall rate. Both models can detect fire at 99% average precision, but one model has 76% recall at 30 FPS while another has 61% recall at 50 FPS. We also compare our model memory consumption with each other and show our models robustness by testing on various real-world scenarios.

• Management & Information Systems Review
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• v.38 no.3
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• pp.97-112
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• 2019

Currently, in China, mobile live broadcasts are more popular compared to online live broadcasts. Accordingly, this research focused on Wanghong, SNS's flagship live broadcasting app. In other words, Wanghong refers to an internet celebrity who acts online on social network services (SNS) influencing many other people. This study specifically focused on one social network service and conducted a study on live app users. The study first analyzed the quality factors of an SNS to users using China's live app. Secondly, the research investigated in finding out the impact of quality on the satisfaction of live app users and how this affects the live app user's satisfaction on their intention of continuous use. Studies have shown that information quality, system quality, and social quality among SNS quality have a positive influence on live app user satisfaction. However, the quality of service and the quality of emotion was rejected by the hypothesis. Throughout this study, we hope to create an app that allows users to share more satisfying mobile images, thereby establishing various episodes holding beautiful places of their life on a real-time basis. It is hoped that live broadcasting businesses will spread a significant impact around the world. Finally, in the future, research on the study of collective comparison between Korea and China on SNS is believed to be meaningful.

• (The)Study of the Eastern Classic
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• no.32
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• pp.391-424
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• 2008

A Buddhist relic deposit was discovered from the three storied stone pagoda which was called as Seokgatap of Bulguksa temple in Gyeongju in 1966. In this relic deposit, several clumped papers written in ink which were found from the pagoda. These manuscripts are one of the most valuable materials for understanding Korean Buddhism and Buddhist Art History. In this paper, I examined several terms for pagoda subsidiaries found in these manuscripts, which have not been known to us up to recently. In addition, I compared these terms to the real pagodas or pagoda images in Korea. The manuscripts from Seokgatap pagdoa were composed of three different kinds of records; (1) "Record for the Repair of Mugujeonggwangtap Pagoda (無垢淨光塔重修記, 1024)"; (2)"Record for the Reconstruction of West Pagoda (西石塔重修形止記, 1038); (3)"Lists of Donors for the Reconstruction of the Pagoda in Bulguksa temple (佛國寺塔重修布施名公衆僧小名記, 1038). The terminology describing pagoda was appeared in the first and the second records. In the "Record for the Repair of Mugujeonggwangtap Pagoda", there are more than ten terms, which are presumed to be the words describing some upper decorative parts of a stone pagoda. However, in the "Record for the Reconstruction of West Pagoda", there are fifteen terms which would describe the body and base parts of the Seokgatap pagoda. These new terms for pagoda subsidiaries appeared in the manuscripts of Seokgatap Pagoda are very significant materials in understanding Korean Buddhist Art, because they show the practical terms which were used in the eleventh century Buddhism of Korea, but never known to the modern academic world. The manuscripts of Seokgatap Pagoda have not been deciphered perfectly yet, so they have to be examined with more precise as well as with wider view of Buddist and Art History.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.77-89
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• 2020

The film "Parasite" portrays Korea's history and its present in a space that clearly represents the real world's hierarchy as a vertical structure. It demonstrates the problems of an insurmountable reality and the elements of various conflicts occurring below the surface of Korean society through a complex mix of human emotions and relationships. The most realistic yet unrealistic characters cross boundaries between being victims and perpetrators, defamiliarizing ordinary scenes from everyday life through their small mistakes, strange obsessions, bizarre behavior, anxious psychology, and desperate struggles. This study analyzes the expression of the film "Parasite" through its characters with the belief that the film expresses director Bong Joon-ho's consistent cinematic philosophy of taking reality beyond the traditional rules of film genres. By doing so, Bong creates a feature of the expression that shifts genres as the characters' personalities amplify related behaviors, conflicts and questions, and that this is the core of the unique nuance and distinct humor of this film. In addition, the personalities of the characters interact with all the film's elements (cinematic techniques, space, props, etc.), evoking effects of various meanings, which are transmitted through the actors'images and acting. In this respect, the study analyzes how the actors were cast in order to realistically reproduce the characters of the actors, how their acting was harmonized with the film's elements, and its features as well as how they were expressed.