• Journal of the Korean housing association
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• v.20 no.2
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• pp.87-99
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• 2009

The brand is getting more important purchase factor in apartment market, so domestic construction companies have tried to differentiate it from others by creating the unique brand image. The purpose of this study was to investigate consistency of apartment brand image as a process which includes publicity, design and customer service and to analyze how using intergrated brand image affects brand preference and purchasing intention. To examine hypotheses, an empirical study using a survey questionnaire for residents living in 4 different brand apartments in Dongtan, Hwasung city was conducted. The collected data were treated with the SPSS Win Program 14.0. The study indicates that residents living in brand apartment generally preferred natural friendly image, high-class image and modern image to the others. And at first apartment brand images were created with image advertising on TV, catalog for sale and model house tour, but residents have most needs for customer service reflected in brand images. The study also has found that brand images in each process including publicity, design and customer service were not intergrated. However brand image intergration had positive effects on residential satisfaction and customer loyalty. The results of the study are expected to become the useful data in developing sustainable apartment brands and building effective marketing strategy of construction companies.

• Journal of Korea Multimedia Society
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• v.7 no.1
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• pp.132-144
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• 2004

With the rapid development of internet technology, the number of internet users and the amount of multimedia information on the internet is ever increasing. Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of image information. As a result, it is required to support content- based image retrieval efficiently on such image data. This paper proposes an intelligent image retrieval system, which adopts XML, technology. To support object-based col)tent retrieval on product catalog images containing multiple objects, we describe a multi -level metadata structure which represents the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design a XML-Schema for the proposed metadata and show how to represent such metadata using XML- documents. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile browser, using XSLT The proposed scheme can be easily implemented on any commercial platforms supporting XML technology. It can be utilized to enable efficient image metadata sharing between systems, and it will contribute in improving the retrieval correctness and the user's satisfaction on content-based e-catalog image retrieval.

• Korean Journal of Remote Sensing
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• v.15 no.2
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• pp.119-130
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• 1999

At present, many ground stations all over the world are using NORAD orbit element data in order to track and communicate with Earth orbiting satellites. The North American Aerospace Defense Command (NORAD) observes thousands of Earth orbiting objects on daily basis and provides their orbital information via internet. The orbital data provided by NORAD, which is also called two line element (TLE) sets, allows ground stations to predict the time-varying positions of satellites accurately enough to communicate with the satellites. In order to complete the mission of a high resolution remote sensing satellite which requires very high positional determination and control accuracy, however, a mission control and tracking ground station is dedicated for the observation and positional determination of the satellite rather than using NORAD orbital sets. In the case of KITSAT-3, NORAD orbital elements are currently used for image acquisition planning and for the processing of acquired images due to the absence of a dedicated KITSAT-3 tracking ground system. In this paper, we tested and analyzed the accuracy of NORAD orbital elements and the appropriate prediction model to determine how accurately a satellite acquisites an image of the location of interest and how accurately a ground processing system can generate the catalog of the images.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.526-528
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• 2004

유비쿼터스 컴퓨팅 시대의 도래로 방대한 센서와 네트워크를 통한 보다 편리한 응용 서비스들이 개발되고 있다 이미지 센서 등은 센서 자체의 패턴을 이용하여 보다 다양한 서비스 제공이 가능하다는 장정을 이용하여 본 논문에서는 이미지 센서와 이의 패턴을 이용한 증강현실 서비스를 제공하는 어플리케이션을 제안한다. U-카탈로그 서비스는 이미지센서를 통하여 상품에 대한 동영상 정보를 받아볼 수 있고, 이미지 센서 위에 바로 해당 상품의 30 객체를 올려서 사용자는 원하는 각도와 방향에서 실제로 상품을 눈앞에 놀고 보는 것과 같은 실감 있는 서비스를 받을 수 있다.

• Publications of The Korean Astronomical Society
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• v.32 no.1
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• pp.185-187
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• 2017

Combining the AKARI Point Source Catalog and the 37-month Monitor of All-sky X-ray Image (MAXI) catalog, the infrared and X-ray properties of nearby active galactic nuclei were investigated. The 37-month MAXI catalog tabulates 100 nearby Seyfert galaxies, 73 of which are categorized into Seyfert I galaxies. Among these Seyfert galaxies, 69 ones were found to have an AKARI infrared counterpart. For the Seyfert I galaxies in this sample, a well-known correlation was found between the infrared and X-ray luminosities. However, the observed X-ray luminosity of the Seyfert II galaxies tends to be lower for the infrared luminosity than the Seyfert I galaxies. This suggests that the X-ray absorption is significant in the Seyfert II galaxies. The Seyfert II galaxies seem to have a bimodal distribution of the IR color between $18{\mu}m$ and $90{\mu}m$. Especially, a large fraction of the Seyfert II galaxies exhibits a redder IR color than the Seyfert I galaxies. A possible origin of the redder IR color is briefly discussed, in relation to the star formation activity in the host galaxy, and to the X-ray absorption.

• The Bulletin of The Korean Astronomical Society
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• v.42 no.1
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• pp.39.3-39.3
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• 2017

To see scientific potential of MIRIS Paschen-${\alpha}$ ($Pa{\alpha}$) Galactic Plane Survey (MIPAPS), we have selected a portion, Galactic longitude from $+96^{\circ}$ to $116^{\circ}$, and inspected $Pa{\alpha}$ detections for 212 sources in WISE H II region catalog. We also list up $35Pa{\alpha}$ large features and $32Pa{\alpha}$ point-like blobs, which have not been cataloged in WISE catalog. For all the sources, we have performed the photometry of $Pa{\alpha}$ emission line, and obtained their $Pa{\alpha}$ intensities and $Pa{\alpha}$ fluxes. For the quantitative comparison, we also make the $H{\alpha}$ mosaic image of the same region by using IPHAS data which have been globally calibrated and released recently. Comparing MIPAPS $Pa{\alpha}$ fluxes with the IPHAS $H{\alpha}$ fluxes enables us to estimate dust extinction and spectral types of ionizing sources. We present the results for some sources.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.1-23
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• 2018

From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.31-33
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• 2002

인터넷의 발달로 데스크탑 컴퓨터만이 아니라 냉장고, 달리는 차안, PDA, 핸드폰 등 생활 영역 곳곳에서 인터넷을 할 수 있다. 이런 다양한 기기에서 누릴 수 있는 서비스의 질은 분명 다르다. 여러 종류의 다양한 서비스를 보장하기 위해서 서비스 제공자는 같은 상품이라도 화질별로 이미지를 가지고 있어야 한다. 전자상거래용 이미지는 같은 상품에 대한 이미지라도 상황에 따라 보이는 크기가 다르다. 카달로그 목록에 있는 이미지는 작은 것을 사용하고 상품을 제시할 때는 확대된 그림을 사용해야 한다. 현재의 서버시스템은 이미지를 크기에 따라 개별적으로 저장한다 따라서 상품을 교체할 때마다 여러 개의 이미지를 동시에 바꿔야 하기 때문에 이러만 시스템은 비효율적이다. 본 논문에서는 이런 비효율성을 줄이기 위해 수준에 맞게 이미지를 자동으로 처리하여 같은 이미지를 여러 버전으로 보여주는 웹 이미지 서버를 제안한다. 제안된 웹 서버는 사용자를 분류하고 그 분류에 따라 대용량, 고화질 이미지에서 저용량, 저화질로 이미지를 자동으로 처리하여 효과적이고 더 빠른 서비스를 제공할 수 있다. 따라서 하나의 웹 이미지로도 다양한 수준의 이미지를 가질 수 있기 때문에 서비스 종류 별로 웹 페이지를 만들지 않아도 되고, 저장공간도 효율적으로 사용할 수 있다.

• Journal of Astronomy and Space Sciences
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• v.12 no.2
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• pp.256-264
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• 1995

This report presents the development procedure and the results of a prototype star sensor which can be used as one of the attitude sensors of the KITSAT-3. The star sensor is a major attitude sensor that can determine the 3-axis attitude information, by comparing between star corrdinates in the star catalog and the measured corrdinates. The 2 dimensional CCD camera is used for measuring the star corrdinates and the DSP(Digital Signal Processor) technology is applied to the image and signal processing. Using the prototype star sensor with thermoelectri cooling technique, we have succesfully obtained the star images around 4th magnitude at Sobaeksan Astronomy Observatory minimizing night sky effect.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.115-132
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• 2000

As the web advertising proliferates due to the explosive growth of Internet users, there is a research need for the consumers' general perception on the individual advertisements in the web. This research studies whether the characteristics of Internet advertising(entertainment, informativeness, purchase facilitation, irritation) influence the consumers' attitudes in the Internet environment. This is based on the fact that the web as an advertising channel is quite different from the traditional advertising channels. Twc different surveys are conducted; one is to study consumers' general responses for the Internet advertising in general, and the other is to study more specifically consumers' attitudes for the six different advertising messages(product advertising, corporate image advertising, on-line catalog, billboard, contest/game advertising and online directory of firms). Entertainment and informativeness factors are found to be positively related with the consumers' general attitudes for the web advertising, whereas purchase facilitation and irritation factors have no relationships. Also, a set of advertising strategies for the six different advertising messages are given based on the findings about the relationships between the six advertising messages and the four influencing factors.