• Radiation Oncology Journal
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• v.23 no.2
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• pp.123-130
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• 2005

Purpose: We wanted to improve the setup reproducibility of breast cancer patients when utilizing a commercially available breast board for radiation therapy. The breast board was modified by using a new head rest and 2 types of board fixation devices. Materials and Methods: A conventional head/neck rest was modified to be positioned in various slots of the breast board, and it was fabricated 1 cm thinner to provide more comfort to a patient when the patient's neck was rotated. This rest improves the uncertainty of the daily setup. Also, the sagging problems at the left and right sides became negligible with the two types of board fixation devices: (1) the stair type, and (2) the arm type. The first device consists of an upper/lower holder with 4 stair-types of grooves and 4 rectangular Inserts. In order to cover the whole range of vertical setup of the breast board, 4 rectangular inserts were needed, and each covered 10 steps. The arm-type fixation device was also fabricated and attached to the breast board, It had two aluminum bars that were fixed by utilizing a lock-type of screw. These devises were evaluated with two volunteers in order to prove the effectiveness of the improved setup accuracy. Results; The developed cranio-caudal fixation device demonstrated that it could reduce the cranio-caudal error by nearly $55\%$ compared to the old device. As for left-and-right inclination, the stair-type and arm-type fixation devices can reduce the relative inclination by nearly $80\%$ and $90\%$, respectively, compared to the breast board without the fixation device. Conclusion: It was verified that the developed devices were effective for positioning the patients and for avoiding inclination of the breast board.

• Journal of the Daesoon Academy of Sciences
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• v.33
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• pp.91-145
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• 2019

This study aims to reveal that Daesoon Jinrihoe Yeoju Headquarters Temple Complex is a sacred place of Gaebyeokgongsa (the Reordering Works of the Great Opening) through the logic of the energy of form in Feng-Shui studies. The Headquarters Temple Complex can illuminate the lamp of coexistence, emerge as a place for cultivation, and support the era of human nobility with Gucheonsangje (the Supreme God of the Ninth Heaven) as an object of faith. Virtuous Concordance of Yin and Yang, Harmonious Union between Divine Beings and Human Beings, the Resolution of Grievances for Mutual Beneficence, and Perfected Unification with Dao are the mission statements of this great site. For this purpose, it is necessary to investigate the headquarters according to integral Feng-Shui Theory. Doing so can provide proof that the geographic location, landscape, yin-yang harmonizing, and flowing veins of terrestrial energy at Headquarters Temple Complex are all profoundly auspicious. At the same time, this data also allows further study into the interactions of dragon-veins, energy hubs, surrounding mountains, and watercourses, which reveal how Daesoon Jinrihoe Yeoju Headquarters Temple Complex promotes the basic works of propagation, edification, and cultivation and three societal works of charity aid, social welfare, and education for the purpose of global propagation, saving beings, and building an earthly paradise by reforming humanity and engaging in spiritual civilization. This must be done on site with proper Feng-Shui in order to open up the era of human nobility upon the Great Opening of the Later World. As the center of the religious order, Daesoon Jinrihoe, Yeoju Headquarter Temple Complex has the general Feng-Shui characteristic of Baesanimsu (a back supported by a mountain and a front facing water). Through discussing the Feng-Shui of Daesoon Jinrihoe's Yeoju Headquarters Temple Complex as the center of humankind's resolution of grievances for mutual beneficence, this study would explore growth-supporting land that delivers future rewards through Feng-Shui symbolism and the ethical practice of grateful reciprocation of favors for mutual beneficence. This exploration will reveal how the geographical features and conditions of the Yeoju Headquarters Temple Complex make it a place fit for spiritual cultivation. It is a miraculous luminous court surrounded by mountains, where auspicious signs in eight directions gather. Its veins of terrestrial energy harmonize with clean water energy as it is affectionately situated within its natural environment. Its location corresponds with the Feng-Shui theory of dragon-veins, energy hubs, surrounding mountains, and watercourses. Thus, with regards to the Feng-Shui of Daesoon Jinrihoe's Yeoju Headquarters Temple Complex, this study examines the flows of mountains and waters and focuses on how the site is based on the logic of Feng-Shui. More generally, the geographical features of the surrounding mountains are likewise examined. An analysis of the relationship between Poguk (布局) of Sasinsa (animal symbols of the four directions, four gods, including blue dragon of the east, red phoenix of the south, white tiger of the west, and black tortoise of the north) and the location will be provided while focusing on the Yeoju Headquarters Temple Complex. This study supports the feasibility of further Feng-Shui studies of the Yeoju Headquarters Temple Complex based on traditional geomancy books that focusing on Hyeonggi (Energy of Form) Theory.

• 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.