• Smart Media Journal
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• v.6 no.3
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• pp.64-67
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• 2017

Literary works are used as materials for various cultural contents including plays, movies, cartoons, and games. According to the results of the previous study, it is possible to create a game story that is plausible and universal even if the game storytelling is carried out using the elements extracted from the source data. It is expected that the analysis of the transformed contents of literary works will be analyzed. In this paper, we analyze the scenario of "Mabinogi" using literary works in domestic online games using Greimas' s actant model. The analyzed results are compared with Hamlet, which is the source of the source, and analyzed the structure, age, background, heroine, goal, theme. This study confirms the change of the narrative when the literature is contents, and the analysis is meaningful in analyzing the transformational patterns of game scenarios based on literary works. I hope that it will contribute to the study of various methods of storytelling by various materials of literature works.

• Journal of the Korean Institute of Gas
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• v.14 no.6
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• pp.51-56
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• 2010

Records of accidents for buried pipeline across the river were gathered and causes were analysed. The results are intended to be utilized as basic data for determining a reasonable criteria for the depth of buried city gas pipeline crossing the river. Accident of river-crossing buried pipeline was mainly caused by flood. Sometimes corrosion was detected at the failed location of the pipe. In order to determine reasonable and efficient depth of burial of the pipeline, hydraulic evaluation of the river and structural analysis of the pipeline are necessary. Published data for the buried natural gas pipeline incidents were also investigated and summarized. Main causes of buried natural gas pipeline incidents were external interference and corrosion. However, the two main causes of incidents showed significant difference in the proportion of the entire incident, depending on burial environment.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.85-102
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• 2010

In this paper, we propose a novel method of analyzing video and representing the relationship among characters based on their contexts in the video sequences, namely Character-Net. As a huge amount of video contents is generated even in a single day, the searching and summarizing technologies of the contents have also been issued. Thereby, a number of researches have been proposed related to extracting semantic information of video or scenes. Generally stories of video, such as TV serial or commercial movies, are made progress with characters. Accordingly, the relationship between the characters and their contexts should be identified to summarize video. To deal with these issues, we propose Character-Net supporting the extraction of major characters in video. We first identify characters appeared in a group of video shots and subsequently extract the speaker and listeners in the shots. Finally, the characters are represented by a form of a network with graphs presenting the relationship among them. We present empirical experiments to demonstrate Character-Net and evaluate performance of extracting major characters.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.526-537
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• 2019

This study researched the effect of application systems for media industry by using machine learning method focusing on industrial organization theory. First, for applying the system successfully, formation of sympathy about needs is required. The introduction of machine learning can bring change in each stage of value chain especially, decision making process of investment and production process. In investment side, objective performance prediction data can enhance efficiency, and content diversity can decrease with concentrated investment phenomenon to secured content by the system. In production side, if the system support to make creators decrease simple repeat works, production efficiency will increase.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.327-335
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• 2019

In the 1970s, Korea actively produced so many animated works which is called the "golden age" of korean animation. However, Korea imported and subcontracted foreign animations than creating original works and, there has been a constant controversy that many of the korean animations imitated foreign works. Therefore, this paper aims to analyze the factors that caused this and its patterns, focusing on works suspected of plagiarism in Korean animation during the 1970s and 1980s. First, the focus will be on the definition and composition of plagiarism in art creation, secondly, on the political-ideological, industrial-administrational, production-structural, and copyright awareness aspects of the factors of plagiarized animation. Thirdly, 30 korean animations produced at the time will be analyzed on the degree of design theft and plagiarism based on six criteria focusing on characters' shapes and color arrangements. By analyzing the social factors and patterns of plagiarism, this study aims to provide a social and cultural understanding of academic value about the process of korean animation's development.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.384-390
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• 2020

The reverberation effect on the sound when producing movies or VR contents is a very important factor in the realism and liveliness. The reverberation time depending the space is recommended in a standard called RT60(Reverberation Time 60 dB). In this paper, we propose a scene recognition technique for automatic reverberation editing. To this end, we devised a classification model that independently trains color images and predicted depth images in the same model. Indoor scene classification is limited only by training color information because of the similarity of internal structure. Deep learning based depth information extraction technology is used to use spatial depth information. Based on RT60, 10 scene classes were constructed and model training and evaluation were conducted. Finally, the proposed SCR + DNet (Scene Classification for Reverb + Depth Net) classifier achieves higher performance than conventional CNN classifiers with 92.4% accuracy.

• The Journal of Engineering Geology
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• v.31 no.2
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• pp.211-222
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• 2021

The magnitude 5.4 earthquake occurred in 2017 near 7.5 km north of Buk-gu, Pohang. In order to find out the characteristics of microtremor in Buk-gu, Pohang, Gyeongsangbuk-do, where earthquake damage occurred significantly, a total of 39 points were acquired to analyze the horizontal to vertical spectral ratio (HVSR). Microtremor vary from region to region, so the resonant frequency of the region is obtained by examining the microtremor. For Thickness analysis, we analyze the structure and properties of shear wave velocity (Vs) up to the underlying rock to compare resonance frequencies to match the horizontal to vertical spectral ratio (HVSR) analysis technique against nearby boring data. Using F₀ = V_s/4H with a resonance frequency of alluvium is 1.3 ± 0.07 Hz and a resonance frequency of Yeonil group is 0.69 ± 0.22 Hz, the alluvium thickness was found to be 26~30 m and the Yeonil group thickness was 170~250 m.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.654-667
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• 2021

This study examined the perceived fit between the characteristics of immersive technology and the type of media art affects commitment, satisfaction, and revisit intention. The results showed that the quality of projection mapping and the reputation of original art had a positive effect on the perceived fit whereas the accessibility of original art had a negative effect on the perceived fit. In addition, the reputation of original art and the perception of fit increased the commitment of the media art exhibition, which positively affected the satisfaction and revisit intention. This study provides theoretical and practical implications regarding the effect of immersive technology and media art type of digital media art.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.25 no.1
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• pp.77-86
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• 1980

Asking to change the cropping patterns to save the labor and capitals in paddy rice cultivation, the study was intended to know the weed problems under the various possible cultural systems; namely, direct seeding (in broadcast and row), machine transplanting and hand transplanting. Under the conditions as weedy check plots, paddy yields were significantly variated among cropping systems, and the functions of panicle No. and spikelet No. to the yield were neglected, among others. However, the yield and yield components were narrowed among cropping systems, and the function of spikelets number per area was comparatively improved to the others.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.3
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• pp.8-14
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• 2012

Improving the speed of image processing is in great demand according to spread of high quality visual media or massive image applications such as 3D TV or movies, AR(Augmented reality). SIMD computer attached to a host computer can accelerate various image processing and massive data operations. MAMS is a multi-access memory system which is, along with multiple processing elements(PEs), adequate for establishing a high performance pipelined SIMD machine. MAMS supports simultaneous access to pq data elements within a horizontal, a vertical, or a block subarray with a constant interval in an arbitrary position in an $M{\times}N$ array of data elements, where the number of memory modules(MMs), m, is a prime number greater than pq. MAMS-PP4 is the first realization of the MAMS architecture, which consists of four PEs in a single chip and five MMs. This paper presents implementation of image processing algorithms and performance analysis for MAMS-PP16 which consists of 16 PEs with 17 MMs in an extension or the prior work, MAMS-PP4. The newly designed MAMS-PP16 has a 64 bit instruction format and application specific instruction set. The author develops a simulator of the MAMS-PP16 system, which implemented algorithms can be executed on. Performance analysis has done with this simulator executing implemented algorithms of processing images. The result of performance analysis verifies consistent response of MAMS-PP16 through the pyramid operation in image processing algorithms comparing with a Pentium-based serial processor. Executing the pyramid operation in MAMS-PP16 results in consistent response of processing time while randomly response time in a serial processor.