This is a scientific study of subjectivity on recognition types and preferences of animation audience. Therefore, Q-methodology was used as a methodology of this study. As a result, it was possible to find the various characteristics according to the preferences of audience on animation genres. The features of each type were classified into 3 types. First was an artistic and literary value-oriented type that explored storytelling and descriptive value. Second was a pictorial and aesthetic value-oriented type that explored visual beauty such as characters and Mise en scene. Third was a visual and entertainment value-oriented type that explored entertainment factors and attractions. Thus, according to the classification of preference types, it was inferred that digital image generation audience with an active preference that can create and consume images have developed a tendency that independently consumed their preferences based on thoroughly personal or subjective preferences rather than classified and accepted their preferred culture as their symbolic expressions of hierarchical position. In this aspect, Q-methodological consideration that is useful to analyze the subjectivity of audience could be a significant work. Nevertheless, this study alone could not reveal various generative contexts of specific preferences. It seems to have more significant results by applying various qualitative or quantitative methodologies together with this study and analyzing recognition types and preferences of audience.
Journal of the Korean Institute of Intelligent Systems
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v.24
no.5
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pp.548-553
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2014
In order to evaluate the performance of arrow that manufactures through production process, it is used that personal experiences such as hunters who have been using bow and arrow for a long time, technicians who produces leisure and sports equipment, and experts related with this industries. Also, the intensity of arrow's impact point which obtains from repeated shooting experiments is an important indicator for evaluating the performance of arrow. There are some ongoing researches for evaluating performance of arrow using intensity of the arrow's impact point and the arrow's flying image that obtained from high-speed camera. However, the research that deals with mutual relation between distribution of the arrow's impact point and characteristics of the arrow (length, weight, spine, overlap, straightness) is not enough. Therefore, this paper suggests both the system that could describes the distribution of the arrow's impact point into numerical representation and the correlation model between characteristics of arrow and impact points. The inputs of the model are characteristics of arrow (spine, straightness). And the output is MAD (mean absolute distance) of triangular shaped coordinates that could be obtained from 3 times repeated shooting by changing knock degree 120. The input-output data is collected for learning the correlation model, and ANN (artificial neural network) is used for implementing the model.
Kim, TaeYoung;Hong, Ji Won;Kim, Do Hee;Kim, Hyung-Jong
Journal of the Korea Institute of Information Security & Cryptology
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v.30
no.5
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pp.895-907
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2020
With the recent increasing influence of multimedia content other than the text-based content, services that help to process information in content brings us great convenience. These services' representative features are searching and masking the sensitive data. It is not difficult to find the solutions that provide searching and masking function for text information and image. However, even though we recognize the necessity of the technology for searching and masking a part of the audio data, it is not easy to find the solution because of the difficulty of the technology. In this study, we propose web application that provides searching and masking functions for audio data using audio partitioning method. While we are achieving the research goal, we evaluated several speech to text conversion APIs to choose a proper API for our purpose and developed regular expressions for searching sensitive information. Lastly we evaluated the accuracy of the developed searching and masking feature. The contribution of this work is in design and implementation of searching and masking a sensitive information from the audio data by the various functionality proving experiments.
Kim, Hyun Jun;Park, Eun Soo;Lee, Sang Ho;Park, Chan Hong;Chung, Seok Won
Journal of Korean Neurosurgical Society
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v.64
no.6
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pp.933-943
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2021
Objective : Percutaneous pedicle screw (PPS) fixation is a needle based procedure that requires fluoroscopic image guidance. Consequently, radiation exposure is inevitable for patients, surgeons, and operation room staff. We hypothesize that reducing the production of radiation emission will result in reduced radiation exposure for everyone in the operation room. Research was performed to evaluate reduction of radiation exposure by modifying imaging manner and mode of radiation source. Methods : A total of 170 patients (680 screws) who underwent fusion surgery with PPS fixation from September 2019 to March 2020 were analyzed in this study. Personal dosimeters (Polimaster Ltd.) were worn at the collar outside a lead apron to measure radiation exposure. Patients were assigned to four groups based on imaging manner of fluoroscopy and radiation modification (pulse mode with reduced dose) : continuous use without radiation modification (group 1, n=34), intermittent use without radiation modification (group 2, n=54), continuous use with radiation modification (group 3, n=26), and intermittent use with radiation modification (group 4, n=56). Post hoc Tukey Honest significant difference test was used for individual comparisons of radiation exposure/screw and fluoroscopic time/screw. Results : The average radiation exposure/screw was 71.45±45.75 µSv/screw for group 1, 18.77±11.51 µSv/screw for group 2, 19.58±7.00 µSv/screw for group 3, and 4.26±2.89 µSv/screw for group 4. By changing imaging manner from continuous multiple shot to intermittent single shot, 73.7% radiation reduction was achieved in the no radiation modification groups (groups 1, 2), and 78.2% radiation reduction was achieved in the radiation modification groups (groups 3, 4). Radiation source modification from continuous mode with standard dose to pulse mode with reduced dose resulted in 72.6% radiation reduction in continuous imaging groups (groups 1, 3) and 77.3% radiation reduction in intermittent imaging groups (groups 2, 4). The average radiation exposure/screw was reduced 94.1% by changing imaging manner and modifying radiation source from continuous imaging with standard fluoroscopy setting (group 1) to intermittent imaging with modified fluoroscopy setting (group 4). A total of 680 screws were reviewed postoperatively, and 99.3% (675) were evaluated as pedicle breach grade 0 (<2 mm). Conclusion : The average radiation exposure/screw for a spinal surgeon can be reduced 94.1% by changing imaging manner and modifying radiation source from real-time imaging with standard dose to intermittent imaging with modified dose. These modifications can be instantly applied to any procedure using fluoroscopic guidance and may reduce the overall radiation exposure of spine surgeons.
The article focuses on the impact and Acceptance of Hindu culture in Modern Southeast Asian Buddhism. The purpose of this study is to examine critically the influential epic Ramayana on Siam culture, Thai Ramayana version 'Ramakien', reveal instances of Buddhist Modification. The Ramayana by the great sage Valmiki is considered by Indians to be the first great literary work to be produced in India. The influence of this work is to be seen not only through centuries but even in other countries, such as Thailand where there are modified modern versions. In this paper, I have three objectives : (1) I may discuss the epic Ramayana of India gave birth to the Ramakien of Thailand. In modern times Valmiki's epic was made to fit the spiritual trends current in the new Chakri dynasty, which were themselves based on Brahmanic tradition and Theravada buddhism. With regarding to the structure of the Traibhumi cosmography, and the relationship between merit and power implied by this cosmography ranks all beings from demons to deities in a hierarchy of merit which accrues according to karma the actions of past lives. (2) I analyze how to have attempted to dissect the Hindi and Thai version of the Ramayana. The Hindu concept of kingship is also depicted in the life of Rama. The Hindus see in Rama the norm of a true Hindu life characterized by the Caste and Dharma. In Thai transformed version, it does not preach Hindu values of personal or social life. The Ramakien emphasized that the Buddhism were higher than all other laws, and that the King is regarded as the incarnation of Phra Ram, and thus is also the narration of the righteous buddhist ruler. (3) I discuss how cultural or social contexts can influence the structure of the royal Wat. The whole epic was painted by the order of Rama I in the galleries of the Wat Phra Keo. In other words, it is the very centre of the dynastic cult enshrining the Emerald Buddha, the most iconic expression of the Ramakien tradition were officially amalgamated. Rama I was continued the process of elaborating and stabilizing the complex religious pattern, with Buddhism at the pinnacle. My finding will support the idea that the Ramakien is particularly appealing to the Thai people because it presents the image of an ideal king, Rama, who symbolizes the force of virtue or dharma while Thotsakan represents the force of evil. Eventually the force of good prevails. Being Buddhists, the Thai poets bring into the story the Buddhist philosophy(especially, the law of cause and effect, karma). This paper examines the role of the Hindu epic Ramayana in the historical and cultural contact between Hindu India and Buddhist Southeast Asia. It should now be possible to evaluate what elements of Hindu culture were transmitted into Thai through the Rama story.
This study looked into the process by which Haseo(河西) Kim In-hoo(金麟厚:1510~1560), a neo-confucian scholar of mid Joseon Dynasty, was recognized and adored as an inheritor of traditional academic genealogy of neo-confucianism of Joseon Dynasty. I intended to examine the process of personal embodiment affected or excluded in certain manners by various materials covering the lifetime of bygone persons based on the process of such embodiment. The part related to childhood of Haseo was arranged newly to highlight solid relationship between Kim In-hoo and King Injong(仁宗). That was because Kim In-hoo raised the issue of loyalty and fidelity, one of the most important and most contentious issues at that time, in connection with reinstatement of GimyoSarim(己卯士林, progressive political faction with young officials), and King Injong was the king who reinstated Gimyo Sarim. That played a decisive role in establishing the image of Haseo, a classical scholar with unwavering integrity and loyalty. During the Late Joseon Dynasty, canonization of Haseo was made under the leadership of King Jeongjo(正祖) and Seoin(西人) in royal court. In the 17th century, Seoin scholars revised the materials related to lifetime of Kim In-hoo in various way and proofread and published the collection of literary works by Kim In-hoo. That aimed to establish scholastic system associated with Seoin and legitimacy of study as pursued by Seoin. This made progress with adoration towards scholars affiliated with Seoin, including Yulgok(栗谷) Lee Yi(李珥). Finally, King Jeongjo showed strong intention to take the lead as sovereign in the process while Haseo was canonized into national academy in the 18th century. That came from the desire to solidify his status as a teacher who took pride in taking responsibility for the dynasty's authentic study, as well as the king heading the dynasty politically.
Journal of the Korea Institute of Information Security & Cryptology
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v.16
no.5
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pp.93-106
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2006
With the rapid growth of the wireless Internet communication, a new generation of mobile devices have made possible the broad distribution of mobile digital contents, such as image, music, video, games and applications over the wireless Internet. Mobile devices are rapidly becoming the major means to extend communication channels without copy Protection, usage rule controlling and authentication. As a result, mobile digital contents may be illegally altered, copied and distributed among unauthorized mobile devices. In this paper, we take a look at Open Mobile Alliance (OMA) DRM v2.0 in general, its purpose and function. The OMA is uniquely the focal point for development of an open standard for mobile DRM. Next we introduces features for an active content and illustrates the difference between an active content and an inactive content. Enabling fast rendering of an active content, we propose an OMA-based DRM framework. This framework include the following: 1) Extending DCF Header for supporting an selective encryption, 2) Content encryption key management, 3) Rendering API for an active content. Experimental results show that the proposed framework is able to render an active content fast enough to satisfy Quality of Experience. %is framework has been proposed for a mobile device environment, but it is also applicable to other devices, such as portable media players, set-top boxes, or personal computer.
With the recent development of hardware computing devices and software based frameworks, machine tasks using deep learning networks are expected to be utilized in various industrial fields and personal IoT devices. However, in order to overcome the limitations of high cost device for utilizing the deep learning network and that the user may not receive the results requested when only the machine task results are transmitted from the server, Collaborative Intelligence (CI) proposed the transmission of feature maps as a solution. In this paper, an efficient compression method for feature maps with vast data sizes to support the CI paradigm was analyzed and presented through experiments. This method increases redundancy by applying feature map reordering to improve compression efficiency in traditional video codecs, and proposes a feature map method that improves compression efficiency and maintains the performance of machine tasks by simultaneously utilizing image compression format and video compression format. As a result of the experiment, the proposed method shows 14.29% gain in BD-rate of BPP and mAP compared to the feature compression anchor of MPEG-VCM.
Journal of the Korean Society of Floral Art and Design
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no.44
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pp.53-73
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2021
This study is on the creation of art works through the methodological process of deducting the experiences and inspired feeling which the researcher experienced in the subconscious level as well as the conscious level in the field of floral art creation. The scene setting technique was applied to seize inner experiences and feeling in subconscious level. More concretely, visual note technique and image research technique were applied to record and preserve scenes as the seized inner mental images. To delineate the contents, the researcher created art works based on the experiences during the preparation period at the small town of Tours in France as well as the competitive and tough every day life during the attendance at the fashion school of ESOMD International Paris. The researcher was able to create 5 art works of Deja Vu, 'ㅅ(Seoul-Paris)', '崩(A Mountain on Two Moons)', '燈 (Load out and Stay)', 'ㅇ'deducting the deep experiences and inspired feeling through the methodological process in the subconscious level as well as the conscious level. The researcher was able to explore inner experiences finding self in disquietude and process of personal realization through the creation. The meaning of this research could be found as a case of qualitative research which presents approaches utilizing method of deducting experiences in subconscious level and applying to the creation of art works.
Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.
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