• Title/Summary/Keyword: 영상 융합

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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.

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.

Two Types of Post-human in Recent Korean SF Films : Focusing on (2021), (2021) (최근 한국영화 속 포스트-휴먼의 두 가지 양상: <승리호>(2021), <서복>(2021)을 중심으로)

  • Yoo, Jae-eung;Lee, Hyun-Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.379-384
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    • 2022
  • The year 2021 is a monumental year for the history of Korean cinema that inferiority of the sci-fi genre, by the appearance of two sci-fi blockbuster films- produced by Netflix and produced by TVing-at the same time. Coincidentally, both of movies are sci-fi films which appear post-human such as robot and clone. As can be seen in 『Frankenstein』 story, the progenitor of science fictions, the mankind have imagined beings similar to humen or post-human who are another human being for a long time. deals with the unusual subject matter of a space scavenger and a space janitor, and the main character is a robot that very familiar with human. is the story of a man who lives for a limited life protects and accompanies a clone named Seobok who was created as a test subject. This film deals with the philosophical themes like death and eternal life through the existential concerns of two characters. use Korean Shinpa -Korean specific senimental code-sentiment on narrative, and has the character of a road movie set in Korea's geographical space.

A study on the Interaction of Immersive Contents Focusing on the National Museum of Korea Immersive Digital Gallery and Arte Museum Jeju (실감콘텐츠의 인터랙션 연구 -국립중앙박물관 디지털실감영상관과 아르떼뮤지엄제주를 중심으로-)

  • Ahn, Hyeryung;Kim, Kenneth Chi Ho
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.575-584
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    • 2022
  • The purpose of this study is to derive interaction types that appear variously in immersive contents through John Dewey's empirical theory, and to explore how the derived types are delivered in real cases. For this reason, two cases of the National Museum of Korea 'Immersive Digital Gallery' and 'Arte Museum Jeju' were analyzed through interaction types derived from the empirical theory. The interaction types derived based on the experience theory are the elements of 'multi-sensory', 'simultaneous experience' and 'sensory expansion'. In both cases, these types appear connected rather than grafted one by one in common. In one direction, 'multi-sensory' leads to 'sensory expansion', and in two directions, 'simultaneous experience' leads to 'sensory expansion'. As such, the core types of communication between technology and humans are not delivered one by one, but a cycle of interaction is formed in multiple ways. Therefore, it can be seen that the interaction type of immersive contents is expanded step by step by fusion of various senses and experiences in various fields, rather than a 1:1 partial delivery method. Based on this, it will be necessary to study how types are expanded and how viewers are affected when interaction is implemented in immersive contents in the future.

A Study on the content analysis of Remote classes according to COVID-19 : Focusing on Kindergarten [Play ON] (코로나 19에 따른 원격수업 콘텐츠 분석연구 : 유치원 [놀이ON]을 중심으로)

  • Nam, ki-won;Choi, jung-hee
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.69-75
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    • 2022
  • The purpose of this study is to present the direction of the development and utilization of remote class content for infants in a future educational environment through the analysis of remote class content for childhood. The analysis targets are 148 kindergarten [play ON] contents, and the analysis results according to "easy to use," "interest," "educational," "conformity of content," and "technicality" are as follows. Except for the 'conformity of content', there was a large variation in the score of content for each sub-area. In the case of "conformity of content," almost all of them received high scores for content production by incumbent teachers. With this in mind, we have drawn the following conclusions: First, it should be produced at an appropriate speed in consideration of the induction and understanding of childhoods' participation in play in the search and progress process, and it should be possible to play according to the challenges and levels using various strategies under the theme that all childhoods can be interested in. In addition, it was found that it was necessary to select topics, edit videos, and voice support so that childhoods can participate in the process of discovery and search, supporting childhoods' imagination, curiosity, and creative experiences.

Exploring Factors affecting the Intention to Run University Remote Classes in the Post-COVID-19 Era (포스트 코로나 시대 대학 원격수업 운영 의사에 영향을 미치는 요인 탐색)

  • Kim, Sunyoung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.559-564
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    • 2021
  • The purpose of this study is to explore the factors that affect the intention to run remote classes after COVID-19 with university professors have fully experienced remote classes due to COVID-19. The research questions are what are the factors and the combinations of factors that affect the intention to run remote classes in the post-COVID-19. Data were collected through a survey of 311 remote classes at S Univ. in Seoul in fall 2020, and individuals and combinations of factors were confirmed through logistic regression analysis and decision tree analysis. As a result, individual factors were quality management, online office hours, quizzes midterm oral exams, video development, and student-student and instructor-student Q&A type between face-to-face and remote class. As combinations of factors, it was found that quality management×quiz×student Q&A and quality management×quiz×voting type had an effect on whether to run remote classes. Based on the results, we proposed to run and support remote classes in the post-COVID-19 era.

Proposed Application Design for Community-Based Rehabilitation Services Access in Community Care System: Occupation and Activity Based (커뮤니티케어 제도 내 지역사회중심재활 서비스 접근을 위한 애플리케이션 디자인의 제안 : 작업과 활동 중심으로)

  • Bae, Seong-Hwan;Jang, Yeon-Sig;Baek, Ji-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.325-335
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    • 2021
  • Chronic diseases have been increasing recently as the average life expectancy of humans has been extended, and this trend has caused problems such as the widespread demand for health and rehabilitation services and rising medical costs. In order to solve this problem, the community-based rehabilitation has been developed and strengthened in Korea and gradually promoted since 2019. It is important to secure access to clients who want to use services to revitalize community-based rehabilitation. So in this study, as part of the community-based rehabilitation, intends to devise smartphone applications designs and develop a prototype to secure access to community-based occupational therapy services based on occupation and activities. For Occupational Therapy Practice Framework (OTPF), International Classification of Functioning, Disability and Health (ICF), and Allen Diagnostic Module-2 (ADM-2) were used to devise and categorize occupation and activity based application content, and link OTPF, ICF, and ADM-2 through prior research analysis and expert meetings. The derived content was visualized through literature review and activity analysis, and was implemented to enable direct playback within the application using the YouTube API, and finally developed a prototype application. The Android Studio 3.5.2 for Windows 64-bit was used to build the application prototype. In further research, converging various digital technologies for user convenience and additionally researching community-based occupational therapy service providers opinions and service user satisfaction will improve accessibility to community-based occupational therapy services for clients who have difficulty occupational performance in the community.

Assessment of Stand-alone Utilization of Sentinel-1 SAR for High Resolution Soil Moisture Retrieval Using Machine Learning (기계학습 기반 고해상도 토양수분 복원을 위한 Sentinel-1 SAR의 자립형 활용성 평가)

  • Jeong, Jaehwan;Cho, Seongkeun;Jeon, Hyunho;Lee, Seulchan;Choi, Minha
    • Korean Journal of Remote Sensing
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    • v.38 no.5_1
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    • pp.571-585
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    • 2022
  • As the threat of natural disasters such as droughts, floods, forest fires, and landslides increases due to climate change, social demand for high-resolution soil moisture retrieval, such as Synthetic Aperture Radar (SAR), is also increasing. However, the domestic environment has a high proportion of mountainous topography, making it challenging to retrieve soil moisture from SAR data. This study evaluated the usability of Sentinel-1 SAR, which is applied with the Artificial Neural Network (ANN) technique, to retrieve soil moisture. It was confirmed that the backscattering coefficient obtained from Sentinel-1 significantly correlated with soil moisture behavior, and the possibility of stand-alone use to correct vegetation effects without using auxiliary data observed from other satellites or observatories. However, there was a large difference in the characteristics of each site and topographic group. In particular, when the model learned on the mountain and at flat land cross-applied, the soil moisture could not be properly simulated. In addition, when the number of learning points was increased to solve this problem, the soil moisture retrieval model was smoothed. As a result, the overall correlation coefficient of all sites improved, but errors at individual sites gradually increased. Therefore, systematic research must be conducted in order to widely apply high-resolution SAR soil moisture data. It is expected that it can be effectively used in various fields if the scope of learning sites and application targets are specifically limited.

Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites (재난 현장 물리적 보안을 위한 딥러닝 기반 요구조자 탐지 알고리즘)

  • Kim, Da-hyeon;Park, Man-bok;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.23 no.4
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    • pp.57-64
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    • 2022
  • If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.

AI Art Creation Case Study for AI Film & Video Content (AI 영화영상콘텐츠를 위한 AI 예술창작 사례연구)

  • Jeon, Byoungwon
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.85-95
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    • 2021
  • Currently, we stand between computers as creative tools and computers as creators. A new genre of movies, which can be called a post-cinema situation, is emerging. This paper aims to diagnose the possibility of the emergence of AI cinema. To confirm the possibility of AI cinema, it was examined through a case study whether the creation of a story, narrative, image, and sound, which are necessary conditions for film creation, is possible by artificial intelligence. First, we checked the visual creation of AI painting algorithms Obvious, GAN, and CAN. Second, AI music has already entered the distribution stage in the market in cooperation with humans. Third, AI can already complete drama scripts, and automatic scenario creation programs using big data are also gaining popularity. That said, we confirmed that the filmmaking requirements could be met with AI algorithms. From the perspective of Manovich's 'AI Genre Convention', web documentaries and desktop documentaries, typical trends post-cinema, can be said to be representative genres that can be expected as AI cinemas. The conditions for AI, web documentaries and desktop documentaries to exist are the same. This article suggests a new path for the media of the 4th Industrial Revolution era through research on AI as a creator of post-cinema.