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The Expression of Postmodern Pop Art Style in Contemporary American Animation (현대 미국 애니메이션에서의 포스트모던 팝의 표현)

  • Wu, Ying;Chang, Wook-sang
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.727-741
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    • 2022
  • This article focused on contemporary American animation since the 1990s and later detailed clues to the theory that contemporary pop art style influenced contemporary American animation art creation expression and contemporary American animation. Knowing why American animation swept the world summarizes the art creation characteristics of modern American animation. After a combination of theoretical and actual animation works, the main manifestations of the postmodern pop art style in contemporary American animation: exaggerated and superficial shapes highlight character characteristics; rebellious colors reconstruct emotional perception; creation impacts the mass media-dependence; bizarre collage and repetition, embodying the postmodern pop spirit of jokes and spoofs, Etc. Through this, it is expected that the current analysis of American animation will provide new innovative ideas for domestic animation design and increase the competitiveness of domestic animation in international video animation.

Development of Demand Prediction Model for Video Contents Using Digital Big Data (디지털 빅데이터를 이용한 영상컨텐츠 수요예측모형 개발)

  • Song, Min-Gu
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.31-37
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    • 2022
  • Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

Field Applicability Study of Hull Crack Detection Based on Artificial Intelligence (인공지능 기반 선체 균열 탐지 현장 적용성 연구)

  • Song, Sang-ho;Lee, Gap-heon;Han, Ki-min;Jang, Hwa-sup
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.4
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    • pp.192-199
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    • 2022
  • With the advent of autonomous ships, it is emerging as one of the very important issues not only to operate with a minimum crew or unmanned ships, but also to secure the safety of ships to prevent marine accidents. On-site inspection of the hull is mainly performed by the inspector's visual inspection, and video information is recorded using a small camera if necessary. However, due to the shortage of inspection personnel, time and space constraints, and the pandemic situation, the necessity of introducing an automated inspection system using artificial intelligence and remote inspection is becoming more important. Furthermore, research on hardware and software that enables the automated inspection system to operate normally even under the harsh environmental conditions of a ship is absolutely necessary. For automated inspection systems, it is important to review artificial intelligence technologies and equipment that can perform a variety of hull failure detection and classification. To address this, it is important to classify the hull failure. Based on various guidelines and expert opinions, we divided them into 6 types(Crack, Corrosion, Pitting, Deformation, Indent, Others). It was decided to apply object detection technology to cracks of hull failure. After that, YOLOv5 was decided as an artificial intelligence model suitable for survey and a common hull crack dataset was trained. Based on the performance results, it aims to present the possibility of applying artificial intelligence in the field by determining and testing the equipment required for survey.

Edge Caching Strategy with User Mobility in Heterogeneous Cellular Network Environments (이종 셀룰러 네트워크 환경에서 사용자 이동성을 고려한 엣지 캐싱 기법)

  • Choi, Yoonjeong;Lim, Yujin
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.2
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    • pp.43-50
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    • 2022
  • As the use of mobile data increases, the proportion of video content is increasing steeply. In order to solve problems that arise when mobile users receive data from geographically remote cloud servers, methods of caching data in advance to edge servers geographically close to the users are attracting lots of attention. In this paper, we present a caching policy that stores data on Small Cell Base Station(SBS) to effectively provide content files to mobile users by applying a delayed offloading scheme in a cellular network. The goal of the proposed policy is to minimize the size of data transmitted from Macro Base Station(MBS) because the delayed offloading scheme requires more cost than when downloaded from MBS than from SBS. The caching policy is proposed to determine the size of content file and which content file to be cached to SBS using the probability of mobile users' paths and the popularity of content files, and to replace content files in consideration of the overlapping coverage of SBS. In addition, through performance evaluation, it has been proven that the proposed policy reduces the size of data downloaded from MBS compared to other algorithms.

Introducing Smart Learning Framework in the Digital World: Towards the Enhancement of Technology-Driven Innovation of Arabic Smart Learning

  • Alkhammash, Eman H.
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.331-337
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    • 2022
  • Smart learning is augmented with digital, context-aware, and adaptable technologies to encourage students to learn better and faster. To ensure that digital learning is successful and that implementation is efficient, it is critical that the dimensions of digital learning are arranged correctly and that interactions between the various elements are merged in an efficient and optimal manner. This paper builds and discusses a basic framework for smart learning in the digital age, aimed to improve students' abilities and performance in learning. The proposed framework consists of five dimensions: Teacher, Technology, Learner, Digital content, and Evaluation. The Teacher and Learner dimensions operate on two levels: (a) an abstract level to fit in knowledge and skills or interpersonal characteristics and (b) a concrete level in the form of digital devices used by teachers and learners. Moreover, this paper proposes asynchronous online course delivery model. An Arabic smart learning platform has been developed, based on these smart learning core dimensions and the asynchronous online course delivery model, because despite the official status of this language in many countries, there is a lack of Arabic platforms to teach Arabic. Moreover, many non-native Arabic speakers around the world have expressed an interest in learning it. The Arabic digital platform consists of over 70 lessons classified into three competence levels: beginner, intermediate, and advanced, delivered by Arabic experts and Arabic linguists from various Arab countries. The five dimensions are described for the Arabic platform in this paper. Learner dimension is the Arabic and non-Arabic speakers, Teacher dimension is Arabic experts and Arabic linguistics, Technology dimension consists of technology for Arabic platform that includes web design, cloud computing, big data, etc. The digital contents dimension consists of web-based video, records, etc. The evaluation dimension consists of Teachers rating, comments, and surveys.

Relaying of 4G Signal over 5G Suitable for Disaster Management following 3GPP Release 18 Standard

  • Jayanta Kumar Ray;Ardhendu Shekhar Biswas;Arpita Sarkar;Rabindranath Bera;Sanjib Sil;Monojit Mitra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.369-390
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    • 2023
  • Technologies for disaster management are highly sought areas for research and commercial deployment. Landslides, Flood, cyclones, earthquakes, forest fires and road/train accidents are some causes of disasters. Capturing video and accessing data in real time from the disaster site can help first responders make split second decisions which may save human lives and valuable resource destructions. In this context the communication technologies performing the task should have high bandwidth and low latency which only 5G can deliver. But unfortunately in India, deployment of the 5G mobile communication systems is yet to give a shape and again in remote areas unavailability of 4G signals is still severe. In this situation the authors have proposed, simulated and experimented a 4G-5G communication scheme where from the disaster site the signals will be transmitted by a 5G terminal to a nearby 4G-5G gateway installed in a mobile vehicle. The received 5G signal will be further relayed by the 4G-5G gateway to the fixed 4G base station for onward transmission towards the disaster management station for decision making, deployment and relief monitoring. The 4G-5G gateway acts as a relay and converter of 5G signal to 4G signal and vice versa. This relayed system can be further mounted on a vehicle mounted relay (VMR) as proposed by 3GPP in Release 18. The scheme is also in the same line of context with Verizon's, "Tactical Humanitarian Operations Response" (THOR) vehicle concept. The performance of the link is studied in different channel conditions, the throughput achieved is superb. The authors have implemented the above mentioned system towards smart campus networking and monitoring landslides activities which are common in their regions.

Awareness of the epidemiological investigation tasks of the nurse in charge of COVID-19 epidemiological investigations (코로나19 역학조사를 담당했던 간호사의 역학조사 업무 인식)

  • Son, Haeng-Mi;Choi, Won-Hee;Yang, Hye-Ryun;Hwang, Young-Hui
    • The Journal of Korean Academic Society of Nursing Education
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    • v.28 no.4
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    • pp.433-443
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    • 2022
  • Purpose: This qualitative study was to understand the awareness of epidemiological investigation tasks for nurses who were in charge of coronavirus disease 2019 (COVID-19) epidemiological investigations. Methods: Before data collection, written consent was obtained from 13 participants, and the data were then collected from September 1 to December 31, 2021. Individual interviews were conducted and recorded by video interview using Zoom, and data were transcribed verbatim. Four themes were derived by using the qualitative thematic analysis method. Results: The participants perceived that epidemiological investigations were burdensome but that the field work was important, and that expertise and collaboration were required. The participants started work without preparation due to the explosive increase in the number of confirmed COVID-19 cases, and they recognized work conflicts, unstable employment, and exhaustion as obstacles to their work performance. On the other hand, the participants took pride in contributing to the national epidemiological investigation and control and felt a sense of responsibility as nursing professionals. Finally, participants mentioned that the training of infectious disease practitioner was important for work improvement. Conclusion: Further research is needed on the development of standardized manuals for the training of nursing personnel as infectious disease specialists through the job analysis of epidemiological investigators.

Development of Competency Model for Police' Digital Forensic Examiner (경찰 디지털증거분석관 역량모델 개발)

  • Oh SoJung;Jeong JunSeon;Cho EunByul;Kim GiBum
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.4
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    • pp.647-659
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    • 2023
  • As digital evidence becomes more important in criminal investigations, disputes are increasing in court. As media diversifies and the scope of analysis expands, the level of expertise in digital forensics is also increasing. However, no competency model has been developed to define the capabilities of digital evidence examiners or to judge their expertise. There have been some studies that have derived the capabilities necessary for digital evidence examiner, but they are still insufficient. Therefore, in this study, 25 competency evaluation factors in a total of 9 competency groups were defined using methodologies such as expert FGI and Delphi survey. Specifically, it was defined as Digital Forensics Theory, Digital Evidence Collection&Management, Disk Forensics, Mobile Forensics, Video Forensics, infringement forensics, DB Forensics, Embedded(IoT) Forensics, and Cloud Forensics. The digital evidence examiner competency model is expected to be used in various fields such as recruitment, education and training, and performance evaluation in the future.

A qualitative study on perceptions and status of oral muscle strength training for older adults among dental medical personnel - Focus group interviews - (치과의료인력의 노인 구강근력 강화훈련 관련 인식 및 실태에 관한 질적 연구 - 초점집단면접 적용 -)

  • Yoon-Young Choi;Kyeong-Hee Lee
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.6
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    • pp.551-561
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    • 2022
  • Objectives: This study aimed to investigate the perceptions regarding oral muscle strength training for elder people among dental professionals. Methods: The study participants were selected using non-probability sampling methods, as dentists and dental hygienists with more than 3 years of work experience at dental institutions. A total of 15 participants were selected, including 6 dentists, 4 clinical dental hygienists, and 5 public dental hygienists. Interviews were conducted in June and July 2022, and two focus group interviews were conducted for each group. The first round was face-to-face and the second round was conducted through an online video conference. Results: Through focus group interviews, five factors were obtained; lack of awareness, value of training, factors necessary for implementation, performance status, and obstructive factors. It was found that most study participants had a negative perception regarding the application of oral muscle strength training for elder people due to the lack of information and education on the subject. However, the benefit of oral muscle strength training was positively recognized; adequate educational material, appropriate compensation, adequate time, and availability of patients will be necessary for proper training. Conclusions: It is necessary to improve the perceptions regarding the importance of strengthening oral muscles for the elder people among dentists and dental hygienists. In addition, high-quality educational material that can be easily comprehended and practiced should be developed for effective training.

An Embedded Text Index System for Mass Flash Memory (대용량 플래시 메모리를 위한 임베디드 텍스트 인덱스 시스템)

  • Yun, Sang-Hun;Cho, Haeng-Rae
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.6
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    • pp.1-10
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    • 2009
  • Flash memory has the advantages of nonvolatile, low power consumption, light weight, and high endurance. This enables the flash memory to be utilized as a storage of mobile computing device such as PMP(Portable Multimedia Player). Potable device with a mass flash memory can store various multimedia data such as video, audio, or image. Typical index systems for mobile computer are inefficient to search a form of text like lyric or title. In this paper, we propose a new text index system, named EMTEX(Embedded Text Index). EMTEX has the following salient features. First, it uses a compression algorithm for embedded system. Second, if a new insert or delete operation is executed on the base table. EMTEX updates the text index immediately. Third, EMTEX considers the characteristics of flash memory to design insert, delete, and rebuild operations on the text index. Finally, EMTEX is executed as an upper layer of DBMS. Therefore, it is independent of the underlying DBMS. We evaluate the performance of EMTEX. The Experiment results show that EMTEX can outperform th conventional index systems such as Oracle Text and FT3.