• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.197-203
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• 2024

Food allergies are common and accidents occur annually. However, many people lack knowledge of the severity of allergies and food ingredients. Allergy-related applications currently on the market have problems such as providing information by relying only on certain certified products, food ingredients, and barcodes. This design plans a customized service application for food allergy patients. In this application, after extracting the text of the image using OCR technology, the food ingredients were read and displayed in large letters. In addition, if the user selects an ingredient that cannot be consumed through filtering technology, the restricted food is quickly and conveniently shown when searching for food ingredients. Finally, when scanning a barcode or searching for a product, food ingredient information is provided through barcode scanning and search engine technology that provides ingredient information of the product. Therefore, the purpose of this paper is to design an app in which users with food allergies can easily check food ingredients and avoid allergic reactions using databases and various information search methods.

• Convergence Security Journal
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• v.23 no.4
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• pp.61-70
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• 2023

Clustering is an unsupervised learning method that involves grouping data based on features such as distance metrics, using data without known labels or ground truth values. This method has the advantage of being applicable to various types of data, including images, text, and audio, without the need for labeling. Traditional clustering techniques involve applying dimensionality reduction methods or extracting specific features to perform clustering. However, with the advancement of deep learning models, research on deep clustering techniques using techniques such as autoencoders and generative adversarial networks, which represent input data as latent vectors, has emerged. In this study, we propose a deep clustering technique based on deep learning. In this approach, we use an autoencoder to transform the input data into latent vectors, and then construct a vector space according to the cluster structure and perform k-means clustering. We conducted experiments using the MNIST and Fashion-MNIST datasets in the PyTorch machine learning library as the experimental environment. The model used is a convolutional neural network-based autoencoder model. The experimental results show an accuracy of 89.42% for MNIST and 56.64% for Fashion-MNIST when k is set to 10.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.205-210
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• 2024

Nowadays, online messengers are the main communication tool of modern people. Currently, not only messengers that communicate based on text and images, but also services that can interact in real time through voice or screen sharing are actively used by the MZs. This study aims to figure out 1) the motivation of users of voice chat services, and 2) to explore the influence of motivation for use on satisfaction that one of the factors that determine the user's experience. As a result, five major motivations for using voice chat service(Relationship formation, Usefulness, Relationship maintenance, communication supplementation, and distance overcoming) were found. Among them 'Usefulness' and 'Relationship maintenance had a positive effect on user satisfaction. This study, highlighted the various needs of users who communicate in a non-face-to-face environments as well as factors to be satisfied for their positive experiences. These results should be actively used in the online communications market.

• Cartoon and Animation Studies
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• s.36
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• pp.669-702
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• 2014

Today, in Korean modern fine arts, 'cartoon images' are utilized for their roles of the 'personas' of the artists, and as the 'texts' for the artistic discourses, while they play a role as a bridgehead between the public and art. In this study, we made a study, focusing on 'Atomouse' of Lee Dong-gi, in order to examine how the borrowing of the 'cartoon images' was made in the Korean modern fine arts, and what its period context is. 'Atomouse' of Lee Dong-gi is the first cartoon character that appeared in Korean modern fine arts, and it has acquired a symbolism of a subculture being acknowledged as art. In this study, we tried to find out what period contexts the changes of 'Atomouse' have, focusing on the private exhibitions of Lee Dong-gi, such as 'Smoking' Exhibition (2006), 'Bubble' Exhibition (2008), 'Double Vision' Exhibition (2008), 'The Garden of Uncertainty' Exhibition (2012) and 'Do Not Look Back with Angry Face' Exhibition (2013). Atomouse was born in the era of 'lack of pop' a change was attempted of it in the era of 'excess of pop' and its proceeding ended along with the 'settlement of the neo-pop'. From Atomouse started from the unconsciousness of the artist, we can find the 'identity' of the Republic of Korea, which was being influenced by the 'American and Japanese' culture, as well as the symbolism of a subculture being acknowledged as art, while it emerged as an icon to represent the Korean pop art of the time. Then, as the agony and self-examination of the artist was contained in it, its use was changed into the role as a persona and it was utilized as a tool to connect the and figurative worlds. In the end, the artist put an end to the proceeding of the 'Atomouse' at the boundaries of a persona and an alter ego, removing the creation with his own hands. In the process in which Lee Dong-gi created and changed 'Atomouse', the start-up and growth of the pop art are included in the history of the Korean modern fine arts, apart from a study of an artist. 'Atomouse' was not only painted on the walls of the subway stations in the form of public art, but it tried to closely communicate with the public through the collaboration with diverse media. It made the best use of the 'marketability' which a 'cartoon character' had at first, so that pure art was made a step closer to the public. So 'Atomouse' of Lee Dong-gi not only raised a subculture into the realm of high art, but lowered the door sill to high art. Through the study we could confirm what position 'Atomouse' of Lee Dong-gi, which started absurdly between parody and Hommage, takes in Korean modern art of today.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.1-21
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• 2012

In recent years, mobile phone has experienced an extremely fast evolution. It is equipped with high-quality color displays, high resolution cameras, and real-time accelerated 3D graphics. In addition, some other features are includes GPS sensor and Digital Compass, etc. This evolution advent significantly helps the application developers to use the power of smart-phones, to create a rich environment that offers a wide range of services and exciting possibilities. To date mobile AR in outdoor research there are many popular location-based AR services, such Layar and Wikitude. These systems have big limitation the AR contents hardly overlaid on the real target. Another research is context-based AR services using image recognition and tracking. The AR contents are precisely overlaid on the real target. But the real-time performance is restricted by the retrieval time and hardly implement in large scale area. In our work, we exploit to combine advantages of location-based AR with context-based AR. The system can easily find out surrounding landmarks first and then do the recognition and tracking with them. The proposed system mainly consists of two major parts-landmark browsing module and annotation module. In landmark browsing module, user can view an augmented virtual information (information media), such as text, picture and video on their smart-phone viewfinder, when they pointing out their smart-phone to a certain building or landmark. For this, landmark recognition technique is applied in this work. SURF point-based features are used in the matching process due to their robustness. To ensure the image retrieval and matching processes is fast enough for real time tracking, we exploit the contextual device (GPS and digital compass) information. This is necessary to select the nearest and pointed orientation landmarks from the database. The queried image is only matched with this selected data. Therefore, the speed for matching will be significantly increased. Secondly is the annotation module. Instead of viewing only the augmented information media, user can create virtual annotation based on linked data. Having to know a full knowledge about the landmark, are not necessary required. They can simply look for the appropriate topic by searching it with a keyword in linked data. With this, it helps the system to find out target URI in order to generate correct AR contents. On the other hand, in order to recognize target landmarks, images of selected building or landmark are captured from different angle and distance. This procedure looks like a similar processing of building a connection between the real building and the virtual information existed in the Linked Open Data. In our experiments, search range in the database is reduced by clustering images into groups according to their coordinates. A Grid-base clustering method and user location information are used to restrict the retrieval range. Comparing the existed research using cluster and GPS information the retrieval time is around 70~80ms. Experiment results show our approach the retrieval time reduces to around 18~20ms in average. Therefore the totally processing time is reduced from 490~540ms to 438~480ms. The performance improvement will be more obvious when the database growing. It demonstrates the proposed system is efficient and robust in many cases.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.4
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• pp.15-29
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• 2021

The study aims to grasp the perception and appraisal of urban park users through text analysis. This study used Google review data provided by Google Maps. Google Maps Review is an online review platform that provides information evaluating locations through social media and provides an understanding of locations from the perspective of general reviewers and regional guides who are registered as members of Google Maps. The study determined if the Google Maps Reviews were useful for extracting meaningful information about the user perceptions and appraisals for parks management plans. The study chose three urban parks in Seoul, South Korea; Seoul Forest, Boramae Park, and Olympic Park. Review data for each of these three parks were collected via web crawling using Python. Through text analysis, the keywords and network structure characteristics for each park were analyzed. The text was analyzed, as were park ratings, and the analysis compared the reviews of residents and foreign tourists. The common keywords found in the review comments for the three parks were "walking", "bicycle", "rest" and "picnic" for activities, "family", "child" and "dogs" for accompanying types, and "playground" and "walking trail" for park facilities. Looking at the characteristics of each park, Seoul Forest shows many outdoor activities based on nature, while the lack of parking spaces and congestion on weekends negatively impacted users. Boramae Park has the appearance of a city park, with various facilities providing numerous activities, but reviewers often cited the park's complexity and the negative aspects in terms of dog walking groups. At Olympic Park, large-scale complex facilities and cultural events were frequently mentioned, emphasizing its entertainment functions. Google Maps Review can function as useful data to identify parks' overall users' experiences and general feelings. Compared to data from other social media sites, Google Maps Review's data provides ratings and understanding factors, including user satisfaction and dissatisfaction.

• Cartoon and Animation Studies
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• s.44
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• pp.143-161
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• 2016

This study was conducted focusing on the role of auteurism animation. The purpose of auteurism animation is to criticize irregularities of a society in witty and fierce way through satires from the sharp perspectives of a animator that is not bound by tastes of people or the interests or standpoints of specific groups, and thus to induce positive changes in a society as a purifier. In the context, this study investigated satires shown in by Jan Svankmajer and by Norman Mclaren among the animators who utilize animation as a tool to produce social meaning. As a result, the following characteristics and meanings were found. First, Dimensions of Dialogue is an animation that satires absurdity and irregularities of a human society in symbolic and exceptional way through directing by segmentations of images and omnibus structures. The satire carries the lesson of improvement in the hidden part of cynical attack to history, society, and human beings. It also maximizes absolute reality and engagement of images of Jan Svankmajer through unique and grotesque images of the animator such as alienated world, confusing shapes, and amusement of irregularities. Second, the movie, is an exemplary animation that applied core concept of animation through pixilation techniques based on an event story structure by causal relationship. It satires the changing process of a good man to violent madness through confrontation and conflicts for material desires, with exaggerated slipstick movements and humors as a black comedy. The satire methods of both animation works are delivered through unique image styles and symbolic wordage of the animators who triggered ironical laughter in attacking humanism and moral insensitivity that might be felt seriously otherwise. That is, the animators try to show the positive will for changing the society to a sound one through the form of negativity in terms of moral perspective in animation rather than destruction against the target. As such, the satires in both works worked as an auteurism allegory that maximizes social functions and artistic influence of animation.

• Archives of design research
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• v.19 no.4 s.66
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• pp.41-50
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• 2006

It is generally regarded a design system in post-industrial society, which products designed by in-house designers or design consultancy are manufactured in factory and distributed in market for the consumer. Although it is treated an old design system in traditional society, the traces of vernacular design has been remaining in the state of adopted to the periodical needs in these days, also proving the attribute of design culture to constitute human's material environment as well as existing design systems. There were discovered various design artifacts in daily surroundings vary from the established design in several manners, user modifications or manufactures in everyday lives formalized them. It was approached a case study that analyze the changes of artifact configuration and designer/user context and creation process of the non-professional design artifacts, Creativity Template Theory and ACM(Artifact Context Model) have been utilized for the analysis model. From the analysis result, It assume that the everyday artifacts may be ordinary but extra-ordinary including particular ideas and identity represented by everyday designers or users. Beside these characteristics induce the potentiality that reflect on creative motives for the designers or a complementary artifact generator filling up with drawbacks in established design system. The everyday design domain, various explorations and alternatives are made, is seems to be another design practice domain dissimilar to the one in the industry-based design. Moreover it provides an more easily accessability for the approaching user-friendly design, user customization because they conduct the reliable modeling of consumer and end-user. Finally, based on the exploratory study regarding interpretation of context and configuration in the everyday artifacts, new approach for the design process and design education through more detailed cognitive modeling of everyday designers will be a further study.

• Sijohaknonchong
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• v.43
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• pp.41-66
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• 2015

A study on rhythm of a sijo was mostly conducted based on rhythm theory. As it is considered to define the rhythm of a formal sijo based on three verses, its significance has been recognized. However, if rhythm is understood to be superior to cadence or versification, it seems necessary to examine the rhythm of a sijo as a verse with a fixed form as well as a highly individual rhythm of each and every lyric poet, which is informal rhythm, in order to fully understand them. In this case, prosodie analysis by H. Meschonnic (1932~ 2009) can be a significant methodology. As this study gropes for a possibility to examine the rhythm of a sijo from a new perspective instead of existing rhythm theory through the application of H. Meschonnic's prosodie analysis, it can be regarded as an essay. Prosodie newly suggested by Meschonnic is referred to as linguistic organization of consonants and vowels and indication of their paradigm, and it conflicts the perspective that traditionally separates linguistic sound from meaning for dichotomous understanding. It is due to the fact that the organization of consonants and vowels is a unit that constitutes a complicated layer of significant sound and meaning. Accordingly, prosodie analysis that is irregularly and aperiodically distributed within poetic text can be considered as methodology aimed at explaining how a poem is integrated in terms of sound and semantics. The core of prosodie analysis is to examine how the phonologic system stands against the theme of a poem. It ultimately has the same way of establishing literary style of a poet as it is to explain a unique aesthetic structure that individual poems have and show distinct characteristics of linguistic use by a poet. Prior to application of the prosodie analysis to sijo in general, the study preparatorily conducted prosodie analysis on < Ouga > by Gosan Seon-do Yun.