• Journal of the Economic Geographical Society of Korea
• /
• v.9 no.3
• /
• pp.379-395
• /
• 2006

The purpose of this study is to analyze the spatial characteristics of travel patterns and travel behaviors of transit users in the Metropolitan Seoul area. We apply the data mining techniques to explore the travel patterns of transit users from the T-money card database which has been produced over 10,000,000 transaction records per day. The database contains the information of locations and times of origin, transfer, and destination points for each transaction as well as the informations of transit modes taken via the transaction. We develop an data mining algorithm to explore traversal patterns from the enormous information. The algorithm determines the travel sequences of each passenger, and produce the volumes of support on each points (stops) of transportation networks in the Metropolitan Seoul area. In order to visualize the spatial patterns of travel demands for transit systems we apply GIS techniques, and attempt to investigate the spatial characteristics of travel patterns and travel demand. Subway stops located in the Gangnam area appear the highest peak for the travel origin and destination, while the CBD in the Gangbuk stands at the second position. Two or three sub-peaks appear at the densely populated residential areas developed as the high-rise apartment complex. Subway stations located along the Subway Line 2, especially from Guro to Samsung receive heavy travel demand (total support), while bus stops located at the CBD in the Gangbuk stands the highest travel demand by bus.

• Journal of the Korean Society for information Management
• /
• v.19 no.3
• /
• pp.123-143
• /
• 2002

Developing good methods for image description and indexing is fundamental for successful image retrieval, regardless of the content of images. Researchers and practitioners in the field of image indexing have developed a variety of image indexing systems and methods with the consideration of information types delivered by images. Such efforts in developing image indexing systems and methods include Panofsky's levels of image indexing and indexing systems adopting different approaches such as thesauri-based approach, classification approach. description element-based approach, and categorization approach. This study investigated users' perception of the objectiveness of image indexing, especially the iconographical analysis of image information advocated by Panofsky. One of the best examples of subjectiveness and conditional-dependence of image information is emotion. As a result, this study dealt with visual emotional information. Experiments were conducted in two phases : one was to measure the degree of agreement or disagreement about the emotional content of pictures among forty-eight participants and the other was to examine the inter-rater consistency defined as the degree of users' agreement on indexing. The results showed that the experiment participants made fairly subjective interpretation when they were viewing pictures. It was also found that the subjective interpretation made by the participants resulted from the individual differences in terms of their educational or cultural background. The study results emphasize the importance of developing new ways of indexing and/or searching for images, which can alleviate the limitations of access to images due to the subjective interpretation made by different users.

• Journal of the Korean Society for information Management
• /
• v.41 no.2
• /
• pp.295-316
• /
• 2024

Analyzing research trends is essential for the sustainable development of a discipline and is important for understanding the value of prior research and laying the groundwork for subsequent research. This study aims to draw implications for the future direction of convergence research on the disclosure of information from various disciplines by comparing and analyzing the trends in disclosure of information research in Korea. For this purpose, we analyzed the publication frequency of information disclosure papers listed in the Korea Citation Index (KCI) from 2002 to 2023 and the publication trend by discipline as a time series. In addition, we compared the keyword relationships and specialized research topics of each discipline by applying network analysis and LDA topic modeling techniques to the names and keywords of papers in law, public administration, and library and information science. As a result of the analysis, the law focuses on legal regulations and policy improvement, public administration focuses on changing social needs and administrative operation methods, and LIS focuses on practical approaches to record management and disclosure of information. Based on this, future research directions include combining policy research in law with social change research in public administration and developing realistic policies and operational guidelines from the practical perspective of LIS. Such convergent research will enable the systematic and efficient implementation of disclosure of information systems, contributing to the guarantee of the public's right to know and the enhancement of state transparency.

• Journal of Broadcast Engineering
• /
• v.7 no.1
• /
• pp.45-54
• /
• 2002

This paper proposes a video compression algorithm using characteristics of wavelet coefficients. The proposed algorithm can provide lowed bit rate and faster running time while guaranteeing the reconstructed image qualify by the human virtual system. In this approach, each video sequence is decomposed into a pyramid structure of subimages with various resolution to use multiresolution capability of discrete wavelet transform. Then similarities between two neighboring frames are obtained from a low-frequency subband which Includes an important information of an image and motion informations are extracted from the similarity criteria. Four legion selection filters are designed according to the similarity criteria and compression processes are carried out by encoding the coefficients In preservation legions and replacement regions of high-frequency subbands. Region selection filters classify the high-frequency subbands Into preservation regions and replacement regions based on the similarity criteria and the coefficients In replacement regions are replaced by that of a reference frame or reduced to zero according to block-based similarities between a reference frame and successive frames. Encoding is carried out by quantizing and arithmetic encoding the wavelet coefficients in preservation regions and replacement regions separately. A reference frame is updated at the bottom point If the curve of similarity rates looks like concave pattern. Simulation results show that the proposed algorithm provides high compression ratio with proper Image quality. It also outperforms the previous Milton's algorithm in an Image quality, compression ratio and running time, leading to compression ratio less than 0.2bpp. PSNR of 32 dB and running tome of 10ms for a standard video image of size 352${\times}$240 pixels.

• Korean journal of communication and information
• /
• v.46
• /
• pp.245-279
• /
• 2009

UCC, an abbreviation for User Created Contents, is not only a symbol of desire but also a product of creativity that a producer contains his or her subjective disposition. More and more UCC tend to have significantly increased in Web 2.0 environment. However, the research on the contents as a creative product has rarely been processed. It may be fairly said that this results in the indifference of researchers in the special field like the political contents since UCC is usually produced by amateurs. Producers' various desire is unlikely revealed, which leads to the flow of users into open media such as the Internet. It could also be available to represent the property, of plural visual language signs in a field. Moreover, UCC has the attribute of re-mediation in effective communication, so the differences between the semiotic properties in the Internet contents could be a significant material for researches. This could contribute to establish a theoretical system for the visual communication. Therefore, this study aims to analyse the signification of the political video UCC, . To develop this analysis, I apply Greimas' Generative Trajectory of Signification Theory to the text, or the UCC. He classifies it as three structures: deep structure, superficial structure, and discourse structure. As a result, the text shows meaningful contents delivering core political messages. In addition, this approach could exam that 'Obama Syndrome' in American recent presidential campaigns is caused by web 2.0 based on Internet campaigns including video UCC.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.3
• /
• pp.197-205
• /
• 2020

Korean language has the characteristics that the pronunciation of phoneme units such as vowels and consonants are fixed and the pronunciation associated with a notation does not change, so that foreign learners can approach rather easily Korean language. However, when one pronounces words, phrases, or sentences, the pronunciation changes in a manner of a wide variation and complexity at the boundaries of syllables, and the association of notation and pronunciation does not hold any more. Consequently, it is very difficult for foreign learners to study Korean standard pronunciations. Despite these difficulties, it is believed that systematic analysis of pronunciation errors for Korean words is possible according to the advantageous observations that the relationship between Korean notations and pronunciations can be described as a set of firm rules without exceptions unlike other languages including English. In this paper, we propose a visualization framework which shows the differences between standard pronunciations and erratic ones as quantitative measures on the computer screen. Previous researches only show color representation and 3D graphics of speech properties, or an animated view of changing shapes of lips and mouth cavity. Moreover, the features used in the analysis are only point data such as the average of a speech range. In this study, we propose a method which can directly use the time-series data instead of using summary or distorted data. This was realized by using the deep learning-based technique which combines Self-organizing map, variational autoencoder model, and Markov model, and we achieved a superior performance enhancement compared to the method using the point-based data.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.4
• /
• pp.133-142
• /
• 2023

National parks are one of the important types of protected area management systems established by IUCN and a management model for implementing effective conservation and sustainable use of natural and cultural heritage in countries around the world, and they assume important roles in conservation, scientific research, education, recreation and driving community development. In the context of big data, this study takes China's Liaohe National Park, a typical representative of global coastal wetlands, as a case study, and using Python technology to collect tourists' travelogues and reviews from major OTA websites in China as a source. The text spans from 2015 to 2022 and contains 2998 reviews with 166,588 words in total. The results show that wildlife resources, natural landscape, wetland ecology and the fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park; visitors have strong positive feelings toward Liaohe National Park, but there is still much room for improvement in supporting services and facilities, public education and visitor experience and participation.

• The Journal of the Korea Contents Association
• /
• v.10 no.7
• /
• pp.470-480
• /
• 2010

Although e-Learning contents contain audio materials as well as visual materials, research on the design of audio materials has been focused on visual design. If it is considered that non-speech sounds which are a type of audio materials can promptly provide feedbacks of learners' responses and guide learners' learning process, the systemic design of non-speech sounds is needed. Therefore, the purpose of this study is to investigate the learners' perceptions toward non-speech sounds contained the e-Learning contents with multidimensional scaling method. For this purpose, the eleven non-speech sounds were selected among non-speech sounds designed Korea Open Courseware. The 66 juniors in A university responded the degree of similarity among 11 non-speech sounds and the learners' perceptions towards non-speech sounds were represented in the multidimensional space. The result shows that learners perceive separately non-speech sounds by the length of non-speech sounds and the atmosphere which is positive or negative.

• The Journal of the Korea Contents Association
• /
• v.8 no.3
• /
• pp.117-126
• /
• 2008

Lacan's Identification theory has been applied to various cultural genres such as literature, film, media so on. Especially, Identification theory in Film Theory gives game researchers who try to apply identification theory to the game, a concrete base. This paper aims to explain the gamer's action through identification theory. Thus, we divide identification into the level of the gamer's point of view and that of the character in game text. While point-on-view of identification, the primary identification, in film has been explained that the audience identifies with camera's point-of view, in game one identifies with various point-of-views. There are two aspects of Identification of characters in game. First, gamers identify themselves with moving images on screen. Second, They identify with the roles given to themselves. The factors which allow them identification are suppression of false statement system, interpolation and process of selection, arrangement, a cursor, colours on screen.

• The Journal of the Korea Contents Association
• /
• v.7 no.4
• /
• pp.250-258
• /
• 2007

Typography is the combination of language of formative art. It is indeed the core means of human communication through understanding of language and formative values. Studies began on introduction of various techniques to overcome the phenomenon of the 'reaction of language', which appears as an impediment in delivery and sharing of information as the most fundamental roles. Successively, mobile printing types more readable and effective in delivering of meanings have been developed, thus widely distributed for general use. However, although such printing types might be easily used in image and digital media, such as in computer monitors, screens and mobile phone LCDs, etc., it is in fact difficult to use these printing types in printed surfaces, the traditional medium of information delivery, or in sign systems frequently encountered in our surrounding environment. As a solution for this, it is intended to create an effect of communication closer to dynamic typography expression by approaching visual message delivery system from the essence and substance of the color application, which corresponds to the visual spatial expression effect, the core element of expression in dynamic typography to possess significantly more powerful effect in terms of both message delivery capacity and readability than the conventional means of static typography.