• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.194-207
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• 2022

Amid growing social interest in child abuse, and announced the seriousness of child abuse crimes and aroused public interest in related issues. Based on true stories and characters, both films created unique narratives about child abuse cases, but drew on the traditional representation and discursive construction of child abuse news articles. By setting the stepmother as the perpetrator and the father as the neglecter, the gender role of women as primary caregiver was reconfirmed and the stereotypical image of the 'evil stepmother' in popular narratives was exploited. The cinematic reenactment of the evil stepmother not only highlighted the normative family discourse, but also reinforced the maternal myth by emphasizing the binary opposition between the evil stepmother and the lost birth mother.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.17-22
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• 2022

With the spread of web services, data types are becoming more diversified. In addition to the form of storing data such as images, videos, and texts, the number and form of properties and metadata expressing the data are different for each data. In order to efficiently process such unstructured data, a key-value store is widely used for state-of-the-art applications. LSM-Tree (Log Structured Merge Tree) is the core data structure of various commercial key-value stores. LSM-Tree is optimized to provide high performance for small writes by recording all write and delete operations in a log manner. However, there is a problem in that the delay time and processing speed of user requests are lowered as batches of deletion operations for expired data are inserted into the LSM-Tree as special key-value data. This paper presents a Filtered LSM-Tree (FLSM-Tree) that solves the above problem by separating the deleted key from the main tree structure while maintaining all the advantages of the existing LSM-Tree. The proposed method is implemented in LevelDB, a commercial key-value store and it shows that the read performance is improved by up to 47% in performance evaluation.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.121-129
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• 2019

This study aims to focus on the text analysis, production methods of text, and reproduction of production methods, based on a film (2010) taken by mobile devices. As a digital film in which the objects and images have no characteristics of index, this work has the post-cinematic attributes in the aspect of consumers' recipience. This thesis paid attention to the interactions between essential change and production/consumption throughout the whole film culture in the receptive aspect. Just as the main character is a mediator-shaman in the film, this film works as a mediating position of cinematic possibility. In this film, there are different kinds of mediation such as mediation of shaman inside the text, mediation of film in the relationship between text and consumers, and consumers' instrumental desire for others'tool outside the text. Outside the text, this relevant film stimulates the imitation desire of consumer subjects as others. In other words, this is connected to the desire of consumers who aim to create a digital film through mobile devices as an author. This is connected to Simondon's thinking in which such technical objects not only generate new relationships, but also become a revolutionary seed that newly collectivizes human society.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.65-70
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• 2023

In recent years, the digital media environment has begun to diversify, with a greater focus being placed on user-centric design. With the development of digital technology, the digital media environment has formed a vast network of information, which supports interactive communication between people, creating a need for user-centric research. Mobile displays, as a representation of the digital media environment, have the advantage of mobility through the use of thin screen displays and low-performance image sensors, which allow for miniaturization and power saving. However, this results in reduced colour accuracy compared to large displays. This study investigates users' colour perception when using dark and light mode mobile displays. Colour perception was measured using a psycho-physical experiment, which controls each colour attribute based on the 12 colours of KS. The results were analysed to determine whether there is a difference in colour perception between dark mode and light mode, and if the difference was statistically significant. Future research directions based on the results are then discussed.

• Journal of the Korean Society of Radiology
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• v.17 no.6
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• pp.939-945
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• 2023

This study analyzes the 'performance efficiency' of AI-based reading assistance systems in the field of radiology by measuring their 'time behavior' properties. Due to the increase in medical images and the limited number of radiologists, the adoption of AI-based solutions is escalating, stimulating a multitude of studies in this area. Contrary to the majority of past research which centered on AI's diagnostic precision, this study underlines the significance of time behavior. Using 50 chest X-ray PA images, the system processed images in an average of 15.24 seconds, demonstrating high consistency and reliability, which is on par with leading global AI platforms, suggesting the potential for significant improvements in radiology workflow efficiency. We expect AI technology to play a large role in the field of radiology and help improve overall healthcare quality and efficiency.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.273-300
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• 2024

In the electronic records environment, along with discussions on ways to digitize analog records, it is important to prepare preservation strategies for each type of records produced and received electronically. In the same context, there is a need for discussion on applying a preservation format selection system with the goal of long-term preservation of data sets and audio-visual type electronic records other than document types. Audiovisual records must apply preservation strategies appropriate to the characteristics of each medium, such as images, audio, and video. This study establishes unique standards for selecting a preservation format for audio-visual electronic records through analysis of Significant Properties based on literature review, composed audio-type preservation format suitability evaluation items, and proposed a recommended format based on the results of applying them.

• Korean journal of food and cookery science
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• v.28 no.4
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• pp.413-421
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• 2012

This study was conducted with 418 adults 20 years or older, all of whom lived in Daegu and Gyeongbuk. According to a survey, the number of females was greater than that of males (40.7%) by 59.3%, and that for ages 30 years was the highest. The preference for Korean traditional drinks was relatively high at 51.8%, and the frequency of drinking Korean traditional drinks was 39.0%. The adults answered that they had these beverages on special days such as holidays, ritual days, and birthdays. Among the reasons for drinking a traditional beverage 'good taste' scored the highest with 27.0% of respondents, followed by 'Korean traditional food' with 24.4%. The recognition of Korean traditional drinks was high in the order of Sikhe, Soojunggwa, Cha, and Hwachae. The preference for Sikhe was the highest. The group who agreed that it was important to develop a Korean functional traditional drink was 11.5% higher than that of the negative group, as 13.4% 'agreed a lot' and 41.1% 'agreed'. Consumer awareness toward traditional drink functionality was generally positive, with 3.5 points or higher on average, and awareness of the nutritional supplementation, diabetes control, the recuperative effects of the drinks were also high. Among Korean traditional drinks Sikhe was the highest with regard to intention to purchase. As a result, the popularization of traditional Korean drinks was based on three factors: quality oriented image, popularity oriented image, and product attribute-oriented image. These factors significantly influenced the preference for and purchase of Korean functional traditional drinks.

• 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.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.133-146
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• 2017

In recent years, the development and market participation of major makers of next-generation eco-green vehicles has been accelerating. Consumer interest has also increased. Consumer characteristics, consumption type, characteristics of next-generation eco-friendly vehicles, and government policies on next eco-green vehicles. The results of this study are as follows. In Korea, there was no significant difference by gender, age, monthly average income, and consumer type. However, there was no significant difference in purchase intention by gender, age, and monthly income, Respectively. In the case of Japan, there was no significant difference by gender, age, monthly income, and consumer type. In Korea, on the other hand, images such as brand, color, and design have positive effects on eco-friendly vehicles. In the case of Japan, image and stability have a positive effect on consumers' purchasing behavior. Therefore, it is important for Japanese consumers to consider not only the image of purchasing an eco-friendly vehicles, but also the safety of the vehicles body, appear. In the case of Korea, the socio-environmental value-seeking type has a significant relationship with the purchasing intention. In the case of socio-environmental value-seeking type, the government's support policy such as carbon dioxide tax, direct support from the national or local governments, gasoline tax, Carbon tax and fuel related tax relief showed positive effects. In the case of Japan, the price-seeking type and the socio-environmental value-seeking type were found to have a significant relationship with the purchasing intention. Both the price-seeking type and the socio-environmental value-seeking type showed that the carbon dioxide tax, Direct support, gasoline tax, gasoline tax, and carbon tax, etc. have positive effects.

• Broadcasting and Media Magazine
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• v.10 no.1
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• pp.85-98
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• 2005

About the phenomenon of being imaged of everything, the scholars of the humanities who had studied on the simple reason structure in a text have been in a big agony how accept it. Especially, semiologists have studied about this for a long time and the points at issues of Saussure, Peirce as well as Umbeto Eco are more outstanding. Being based upon his philosophic interesting from medieval esthetics to modern semiotics, Eco was very concerned about the field of general esthetics and poputar arts like television and cartoons. He connected the mutual open-relations between 'signifier' and 'signified' debated in Semiotics with the open and vague modern arts and regarding it as a deviation from the custom, intensively studied the film-media. Saussure is a representative figure of semiotics and explained Sign and the character of semiotics as the division into two parts such as signifier/ signified, form/ substance, langue/ parole, synchrony/ diachrony. The triadic semiotics (the theory that Sign is composed of the triadic structure like sign, referent and interpretant) of Peirce put the new item- 'interpretant' in sign and referent to connect them and open the possibility to introduce time in to the Sign. In this paper, I try to analyze a cartoon film in the semiotic structure with the systemic, reasonable and logical approach and analysis as as possible. While the images shown through a film were depended on the romantic and impressional judge in the past, due to semiotics, it' s quite possible to correlate the procedure of symbolization to social coherence so that we analyze the incredible power of images to suck audiences with the systemetic Sign. I accept all ot film-images including a cartoon film as not the simple esthetic arts but a social custom and system, want to serve as a aid to properly understand world and humanbeings and prevent the film-image from being mystic. A cartoon and a cartoon film which were begun with the link of a text and an illustration give shape to all of images such as materials, places and even thoughts with a cartoon icon existed in only a cartoon. A cartoon and a cartoon film simply and exquistely conceptualize the complex and vague attribute of an organic creature and extend them infinetly beyond language. However, it can be exploited as a mysticism to temptate the general public and a faking material. In addition to that, it can distort our world-knowledge engaging a political power and the massive power of mass media. In this paper, being based on semiotics to approach a cartoon film in a scientific and organic system, I conclude that a non-linguistic cartoon expression is entangled with the manifold signs and implies the supplementary meanings just like a regular linguistic expression. It remarks that the iconic images of a cartoon film are composed of the social codes and can be analyzed on grounds of a linguistic system.