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Care and future expectations of families with severe disabilities (중증장애 가족의 돌봄과 미래기대)

  • Shin, Kyung-An
    • Journal of Industrial Convergence
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    • v.18 no.6
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    • pp.139-146
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    • 2020
  • Care of people with severe disabilities requires care throughout their life cycle compared to non-disabled families. For this reason, carers of severely handicapped families are highly likely to have negative feelings throughout the family as well as daily stress. Disabled families also have a high rate of experiencing difficulties between non-disabled children or married couples in life centered on the disabled. In particular, the rapid aging in Korea affects the lives of the elderly disabilities along with the aging of the caregivers. The study explored alternatives to realistic support through the past and present experiences of caregivers with disabilities through qualitative research methods, and derived hopes and expectations for the future as follows.First, after confirming the disability for infants and toddlers with disabilities, information about the support system or system is provided from the rating agency. Second, providing "customized care support" suitable for the type of disability or individual characteristics at the social, political, institutional, and economic levels. Third, the provision of programs for non-disabled children and the provision of healing programs only for families with disabilities or those with disabilities. Fourth, the provision of spaces and programs that provide rest and rest for adults with disabilities. Fifth, the application of a long-term care system for the elderly reflecting the aging age of the disabled and institutionalization of community care for the disabled. The research is meaningful in that it presents discussion points for improving the quality of life of adults and the elderly with disabilities.

A Study on the Use of Mobile Payment Service by Korean Youth (우리나라 청소년들의 모바일 간편 결제서비스 이용에 관한 연구)

  • Moon, Jae-Young
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.492-497
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    • 2020
  • Today, banks around the world are making great efforts to adapt to the rapidly changing internal and external environment changes caused by the development of IT technology and to gain a competitive advantage in the market. In particular, in line with the rapid growth of smartphone usage, financial services are also provided in a variety of ways using Fintech, and one of the fastest growing areas is mobile simple payment. Mobile payment service is a financial service that pays the purchase price using a portable mobile device. As fintech, a convergence of financial services and information technology, it is recently used not only in financial services, but also in various industries. It is used in all fields where payment functions such as distribution are available. In the case of mobile cards, it shows that the usage rate of people in their 20s and 30s is increasing very much, so it can be said that the use of mobile payment services will continue to increase in the coming future. We know that simple payments are being used. However, it can be said that the research on the use of mobile payment services by these teenagers is somewhat incomplete. Therefore, this study investigated what factors are important for Korean teenagers to use mobile payment services. As a result, among the five hypotheses presented in this study, all hypotheses were adopted except for , which states that cash usage habits have no effect on innovation.

Sound Visualization based on Emotional Analysis of Musical Parameters (음악 구성요소의 감정 구조 분석에 기반 한 시각화 연구)

  • Kim, Hey-Ran;Song, Eun-Sung
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.104-112
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    • 2021
  • In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

A Study on the Design of Prediction Model for Safety Evaluation of Partial Discharge (부분 방전의 안전도 평가를 위한 예측 모델 설계)

  • Lee, Su-Il;Ko, Dae-Sik
    • Journal of Platform Technology
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    • v.8 no.3
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    • pp.10-21
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    • 2020
  • Partial discharge occurs a lot in high-voltage power equipment such as switchgear, transformers, and switch gears. Partial discharge shortens the life of the insulator and causes insulation breakdown, resulting in large-scale damage such as a power outage. There are several types of partial discharge that occur inside the product and the surface. In this paper, we design a predictive model that can predict the pattern and probability of occurrence of partial discharge. In order to analyze the designed model, learning data for each type of partial discharge was collected through the UHF sensor by using a simulator that generates partial discharge. The predictive model designed in this paper was designed based on CNN during deep learning, and the model was verified through learning. To learn about the designed model, 5000 training data were created, and the form of training data was used as input data for the model by pre-processing the 3D raw data input from the UHF sensor as 2D data. As a result of the experiment, it was found that the accuracy of the model designed through learning has an accuracy of 0.9972. It was found that the accuracy of the proposed model was higher in the case of learning by making the data into a two-dimensional image and learning it in the form of a grayscale image.

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Significance of Three-Dimensional Digital Documentation and Establishment of Monitoring Basic Data for the Sacred Bell of Great King Seongdeok (성덕대왕신종의 3차원 디지털 기록화 의미와 모니터링 기초자료 구축)

  • Jo, Younghoon;Song, Hyeongrok;Lee, Sungeun
    • Conservation Science in Museum
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    • v.24
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    • pp.55-74
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    • 2020
  • The Sacred Bell of Great King Seongdeok is required digital precision recording of conservation conditions because of corrosion and partial abrasion of its patterns and inscriptions. Therefore, this study performed digital documentation of the bell using four types of scanning and unmanned aerial vehicle (UAV) photogrammetry technologies, and performed the various shape analyses through image processing. The modeling results of terrestrial laser scanning and UAV photogrammetry were merged and utilized as basic material for monitoring earthquake-induced structural deformation because these techniques can construct mutual spatial relationships between the bell and its tower. Additionally, precision scanning at a resolution four to nine times higher than that of the previous study provided highly valuable information, making it possible to visualize the patterns and inscriptions of the bell. Moreover, they are well-suited as basic data for identifying surface conservation conditions. To actively apply three-dimensional scanning results to the conservation of the original bell, the time and position of any changes in shape need to be established by further scans in the short-term. If no change in shape is detected by short-term monitoring, the monitoring should continue in medium- and long-term intervals.

Automatic Bee-Counting System with Dual Infrared Sensor based on ICT (ICT 기반 이중 적외선 센서를 이용한 꿀벌 출입 자동 모니터링 시스템)

  • Son, Jae Deok;Lim, Sooho;Kim, Dong-In;Han, Giyoun;Ilyasov, Rustem;Yunusbaev, Ural;Kwon, Hyung Wook
    • Journal of Apiculture
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    • v.34 no.1
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    • pp.47-55
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    • 2019
  • Honey bees are a vital part of the food chain as the most important pollinators for a broad palette of crops and wild plants. The climate change and colony collapse disorder (CCD) phenomenon make it challenging to develop ICT solutions to predict changes in beehive and alert about potential threats. In this paper, we report the test results of the bee-counting system which stands out against the previous analogues due to its comprehensive components including an improved dual infrared sensor to detect honey bees entering and leaving the hive, environmental sensors that measure ambient and interior, a wireless network with the bluetooth low energy (BLE) to transmit the sensing data in real time to the gateway, and a cloud which accumulate and analyze data. To assess the system accuracy, 3 persons manually counted the outgoing and incoming honey bees using the video record of 360-minute length. The difference between automatic and manual measurements for outgoing and incoming scores were 3.98% and 4.43% respectively. These differences are relatively lower than previous analogues, which inspires a vision that the tested system is a good candidate to use in precise apicultural industry, scientific research and education.

Research Trends and Knowledge Structure of Digital Transformation in Fashion (패션 영역에서 디지털 전환 관련 연구동향 및 지식구조)

  • Choi, Yeong-Hyeon;Jeong, Jinha;Lee, Kyu-Hye
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.319-329
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    • 2021
  • This study aims to investigate Korean fashion-related research trends and knowledge structures on digital transformation through information-based approaches. Accordingly, we first identified the current status of the relevant research in Korean academic literature by year and journal; subsequently, we derived key research topics through network analysis, and then analyzed major research trends and knowledge structures by time. From 2010 to 2020, we collected 159 studies published on Korean academic platforms, cleansed data through Python 3.7, and measured centrality and network implementation through NodeXL 1.0.1. The results are as follows: first, related research has been actively conducted since 2016, mainly concentrated in clothing and art areas. Second, the online platform, AR/VR, appeared as the most frequently mentioned topic, and consumer psychological analysis, marketing strategy suggestion, and case analysis were used as the main research methods. Through clustering, major research contents for each sub-major of clothing were derived. Third, major subject by period was considered, which has, over time, changed from consumer-centered research to strategy suggestion, and design development research of platforms or services. This study contributes to enhancing insight into the fashion field on digital transformation, and can be used as a basic research to design research on related topics.

Comparison of Korean Real-time Text-to-Speech Technology Based on Deep Learning (딥러닝 기반 한국어 실시간 TTS 기술 비교)

  • Kwon, Chul Hong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.640-645
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    • 2021
  • The deep learning based end-to-end TTS system consists of Text2Mel module that generates spectrogram from text, and vocoder module that synthesizes speech signals from spectrogram. Recently, by applying deep learning technology to the TTS system the intelligibility and naturalness of the synthesized speech is as improved as human vocalization. However, it has the disadvantage that the inference speed for synthesizing speech is very slow compared to the conventional method. The inference speed can be improved by applying the non-autoregressive method which can generate speech samples in parallel independent of previously generated samples. In this paper, we introduce FastSpeech, FastSpeech 2, and FastPitch as Text2Mel technology, and Parallel WaveGAN, Multi-band MelGAN, and WaveGlow as vocoder technology applying non-autoregressive method. And we implement them to verify whether it can be processed in real time. Experimental results show that by the obtained RTF all the presented methods are sufficiently capable of real-time processing. And it can be seen that the size of the learned model is about tens to hundreds of megabytes except WaveGlow, and it can be applied to the embedded environment where the memory is limited.

A Research on the Parametric Design Method in Pre-Design Phase for BIM application (BIM 적용을 위한 기획설계 단계의 파라메트릭 디자인기법에 대한 연구)

  • Ha, Seung-Beom
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.92-98
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    • 2021
  • Modern society needs constantly the rationality and the efficiency, and this flow of the time has become the paradigm of the whole society. This paradigm has a large influence on the architectural design and industry. Modern technology represented by the development of digital instrument and Information Technology through internet has created and developed two big trend, Parametric Design and BIM(Building information Modeling) in the architectural design and industry. These technologies, though created for different reasons, have a lot of influence on the architectural design and industry for a common purpose such as efficiency and rationality across the boundaries. In this context, this research will be embodied through the example about how parametric design should be made in the beginning of pre-design phase for BIM application. This research aims to consider the design process of Walt Diseny Consert Hall, the work of Frank O. Ghery, a deconstructivism architect, and to embody the shape of National Nederlanden Building in Prague, the Czech Republic, using parametric design tool in pre-design phase. This research later aims to be used as the basic data that can be applied to the entire architectural industry from a planning and a detailed design to a construction for the ultimate BIM application beyond the range of parametric design in pre-design phase. Later, the plan using the parametric design algorithm and BIM application in construction document phase will be conducted.

A Study on the Expression of Sense of Space in 3D Architectural Visualization Animation (3D 건축 시각화 애니메이션의 공간감 표현에 관한 연구)

  • Kim, Jong Kouk
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.369-376
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    • 2021
  • 3D architectural visualization animation has become more important in architectural presentations due to the rapid development of digital technology. Unlike games and movies, architectural visualization animation most focuses on delivering visual information, and aims to express the sense of space that viewers feel in an architectural space, rather than simply providing an image of viewing buildings. The sense of space is affected not only by physical elements of architecture, but also by immaterial elements such as light, time, and human actions, and it is more advantageous to express it in animations that can contain temporality compared to a fixed image. Therefore, the purpose of this study is to search for elements to effectively convey a sense of space in architectural visualization animation. To this end, the works of renowned architectural visualization artists that are open to the public were selected and observed to search for elements to effectively convey a sense of space to viewers. The elements that convey the sense of space that are common to the investigated architectural animations can be classified into the movement and manipulation of the camera, the movement of surrounding objects, the change of the light environment, the change of the weather, the control of time, and the insertion of a surreal scene. It will be followed by a discussion on the immersion of architectural contents.