• Journal of Platform Technology
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• v.6 no.4
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• pp.11-17
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• 2018

In the smart intelligence information society, there is a possibility that the social dysfunction such as the personal information protection issue and the risk to the electronic surveillance society may be highlighted. In this paper, we refer to various categories and classify electronic surveillance into audio surveillance, visual surveillance, location surveillance, biometric information surveillance, and data surveillance. In order to respond to new electronic surveillance in the intelligent information society, it requires a change of perception that is different from that of the past. This starts with the importance of digital privacy and results in the right to self-determination of personal information. Therefore, in order to preemptively respond to the dysfunctions that may arise in the intelligent information society, it is necessary to further raise the awareness of the civil society to protect information human rights.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.43-51
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• 2021

This article explores Kim Hye-soo's film acting from the perspective of performance, which means a socio-cultural action planned and intended for a certain purpose. Through the aspect of screen performance which the identity of the era that the performance study aims for is expressed through acting and reappeared in a system of verbal and non-verbal symbols, it was intended to enhance the academic value of Korean film acting. First, Kim Hye-soo's acting performance transforms by repeating genre acting. The sensuality and sexual attractiveness that evaluates Kim Hye-soo are repeated by the typical vision required by genre films, but the acting performance is not consumed or subordinated as a tool for visual pleasure. Second, Kim Hye-soo's body, face, emotion and audio are engraved with memories of the times, and the sociocultural identity of the performance is expressed through dynamic interaction between actions and reactions. Third, Kim Hye-soo's restored and recreated performance is sensitive to the changes of the times and is still in the process.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.168-169
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• 2023

머신 러닝의 학습을 위한 데이터는 개인정보가 포함된 데이터인 경우가 존재한다. 특히 음성인식 모델을 학습시키기 위해서 사용자의 음성 데이터가 필요하며, 이는 개인의 민감한 정보가 포함될 수 있다. 인공지능 학습을 위해 수집한 음성 데이터에 대한 정보보호 침해 공격이 발생할 수 있고, 해당 데이터에 대한 보호 조치가 필요하다. 본 연구는 음성 데이터를 안전하게 관리하기 위해 분할학습을 이용한 음성 데이터 학습 모델을 제안한다.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.899-933
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• 2023

The second-generation mobile instant messaging (SMIM) proliferates with various relationship management functions: group chats, audio/video chats, file sharing, real-time location sharing, and nonverbal graphics, such as emojis and stickers. This study integrates the important but often overlooked affordances theory into innovation diffusion and proposes an SMIM continuance intention model. SMIM is a social affordance platform for users to develop new friendships and maintain their relationships. Integrated diffusion of innovation and affordance theoretical frameworks, this study investigates the influence of four factors on the success of using SMIM apps to improve friendship development and relationship management. Data were collected from 231 participants using a survey questionnaire in a public university in Taiwan. The findings confirm the effects of friendship development and relationship maintenance on the intention of users to continue using SMIM apps. Implications for research and practice are discussed.

• Journal of The Korean Association For Science Education
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• v.27 no.2
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• pp.134-143
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• 2007

This study explores visitor learning in a natural history museum from the perspectives of situated learning. The purpose of this study is to understand how the visitors construct knowledge from museum experiences through dyadic discourses. The participants were two university students. They moved naturally through the exhibition with no predetermined path in a natural history museum in Korea. Data were collected in the form of audio-recorded dyadic discourses at and between exhibits and were transcribed. The transcription was coded using the conversation coding scheme, and categorized into specific learning types. The findings included (1) the characteristics of learning talks and (2) learning types created by dyadic discourses at and between exhibitions within learning contexts as museum learning experiences. Implications and future research related to visitor learning in informal learning settings were discussed based on the findings.

• Electronics and Telecommunications Trends
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• v.39 no.2
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• pp.43-53
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• 2024

The media environment is rapidly evolving to be tailored to viewers using personal mobile devices in accordance with technological evolution and changes in social structures. Broadcast media technology is also advancing to enable new services, including data casting, in various reception environments beyond the existing fixed environment and one-way audio/video content services. In addition, technologies to increase the transmission capacity to accommodate next-generation large-capacity media content as well as communication network utilization and convergence technologies are being developed to facilitate interactive services and expand the broadcasting coverage. We discuss the current status and future prospects in broadcasting technology for terrestrial and mobile communication systems and analyze broadcasting technology elements for upcoming media environments relying on generative artificial intelligence.

• Smart Media Journal
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• v.13 no.2
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• pp.62-67
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• 2024

Due to technological advancements in viewing devices and the COVID-19 pandemic, a lot of OTT-only content is being produced and distributed as people shift from traditional movie theater viewing and broadcasters' fixed TV viewing to free-form OTT viewing using wired and wireless internet. As a result, the ability to leverage data from OTT audiences has become critical to the competitiveness of the industry. However, third parties other than OTT content providers are facing difficulties in acquiring OTT viewer data. In this paper, as a way to overcome the shortcomings of existing viewer data acquisition, we propose a method to extract audio and video data by developing an OTT viewing data acquisition agent using Web APIs by adopting a web browser environment that does not affect the performance of OS and viewing devices, so that third-party companies that need viewing data can utilize it.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1036-1041
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• 2003

Non-destruction examinations are required in medical sciences and various engineering now. We wish to emulate the examinations in very simplified experiments. It is an educational program. We show a neural network analysis to predict the locations of a sound-source or a body irradiated by sound-waves in audio-region. The sound is an interest flux, and it enables to clear local-structures in a non-transparent space. However, the sound-propagation equations are not solved easily, therefore, we consider to adopt multi-layer neural-networks instead of the direct solutions. We used detected intensities and coordinates for input data and teaching data. A neural network learned them. The neural-network analysis decomposed the distance of 50cm. The resolution is rather rough; however, it is caused by the limitation of our equipments. Since there is no problem in the neural network processing, if we could revise experiments, then, progress of the resolution would be got. Thus, the proposed method functioned as an educational and simplified non-destruction examination.

• Spatial Information Research
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• v.15 no.1
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• pp.15-23
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• 2007

Recently, Korea became the first country which started Terrestrial-DMB service. The DMB service is still at a very early stage throughout the world. At this stage, it is an important issue to develop DMB contents which distinguish DMB from traditional broadcasting by utilizing DMB's mobility. In this paper, we will propose outline of map service through DMB along with related services such as traffic and location information. This outline includes the map service protocol and map data structure for DMB. There is little research at the moment related to it, and this preliminary research enables map service through DMB. A map service would bring DMB a distinct advantage over traditional broadcasting. Moreover, further services based on broadcasting network and mobility would contribute to rapid growth of DMB.

• Child Health Nursing Research
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• v.11 no.2
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• pp.167-178
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• 2005

Purpose: The purpose of this study was to describe quality of life (QOL) in Korean school-age children by identifying dimensions and attributes of QOL from the child's point of view. Method: In-depth interviews with focus questions were used for the study. Twelve children, aged 10 to 13 years, were recruited from Seoul and rural areas. The interviews were audio-taped and transcribed before content analysis. The data were analyzed for themes and attributes. The researchers read the data together and discussed their conclusions until a consensus was reached. Results: Eight dimensions, 57 subdimensions and 101atttributes were identified for QOL in school-age children. The eight dimensions of QOL were physical, social, emotional, learning, leisure, family, self-value, and material aspects. Conclusion: The study results can be utilized in developing reliable instruments to measure quality of life specific to school-age children. It is proposed that a consistent and unified policy should be established by school, family, and community for the purpose of improving the QOL of school-age children.