• Title/Summary/Keyword: Digital World

Search Result 1,634, Processing Time 0.034 seconds

A Study on the Construction of Geospatial DB for the Connectivity Transfer Pedestrian Concierge Service (교통연계환승 보행자 컨시어지를 위한 공간 DB 구축 방안 - 광명역 환승센터를 중심으로 -)

  • Kang, Kyung Hoon;Lee, Seung Taek;Oh, Seung;Kim, Hwang Bae
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.28 no.5D
    • /
    • pp.609-615
    • /
    • 2008
  • A Pedestrian Space in the transit transfer center is compositively made of a variety of activities for pedestrians. The pedestrians avoid access to the transit transfer center and the revitalization of the transit transfer center is obstructed as the travel cost of the pedestrians increases. This study provides the pedestrians using the transit transfer center with the significant real-time routing service and helps the movement of pedestrians to minimize the economical loss considering the travel cost and congestion of the pedestrians in the transit transfer center. In this paper, we propose a solution to construct a spatial map for the pedestrians in the transit transfer center to receive the significant real-time routing service based on Ubiquitous technique which is big issue around the world.

The Design and Implementation of an Elevator 3D Model Simulator Framework based on Unreal Engine (언리얼엔진 기반 승강기 3D모델 시뮬레이터 프레임워크 설계 및 구현)

  • Woon-Yong Kim
    • Convergence Security Journal
    • /
    • v.23 no.2
    • /
    • pp.67-74
    • /
    • 2023
  • An elevator is a mechanical and electronic device composed of about 20,000 various parts, and is systematically operated with a close relationship with each other. By intuitively understanding this complex elevator structure and efficiently recognizing the operating model, it will be possible to increase the understanding of the elevator system and the efficiency of maintenance. The existing elevator management system is a process of collecting and understanding information based on data generated from elevators, and has a structure that lacks efficiency in expressing and managing real-world information during elevator maintenance. Therefore, this paper proposes a simulator framework that can operate efficiently based on the actual elevator model. By constructing the recognition of specific objects through a 3D-based service model and visualizing the operation process, it will be possible to enhance the understanding of the structure and operation required for elevator operation. To this end, the core components of the elevator system are identified, the relationship between them and the operating method are visualized, and a simulator is implemented. Based on this, it will be possible to provide a realistic information management and operating environment in virtual space and real platform.

Ashbery's Aesthetics of Difficulty: Information Theory and Hypertext

  • Ryoo, Gi Taek
    • Journal of English Language & Literature
    • /
    • v.58 no.6
    • /
    • pp.1001-1021
    • /
    • 2012
  • This paper is concerned with John Ashbery's poetics of difficulty, questioning in particular the nature of communication in his difficult poems. Ashbery has an idea of poetry as 'information' to be transmitted to the reader. Meaning, however, is to be created by a series of selections among equally probable choices. Ashbery's poetry has been characterized by resistance to the interpretive system of meaning. But the resistance itself, as I will argue, can be an effective medium of communication as the communicated message is not simply transmitted but 'selected' and thus created by the reader. In Ashbery's poetry, disruptive 'noise' elements can be processed as constructive information. What is normally considered a hindrance or noise can be reversed and added to the information. In Ashbery's poems, random ambiguities or noises can be effectively integrated into the final structure of meaning. Such a stochastic sense of information transfer has been embodied in Ashbery's idea of creating a network of verbal elements in his poetry, analogous to the interconnecting web of hypertext, the most dynamic medium 'information technology' has brought to us. John Ashbery, whose poems are simultaneously incomprehensible and intelligent, employs ambiguities or noise in his poetry, with an attempt to reach through linear language to express nonlinear realities. It is therefore my intention to examine Ashbery's poetics of difficulty, from a perspective of communication transmission, using the theories of information technology and the principles of hypertext theory. Ashbery's poetry raises precisely the problem confronted in the era of communication and information technology. The paper will also show how his aesthetics of difficulty reflects the culture of our uncertain times with overflowing information. With his difficult enigmatic poems, Ashbery was able to move ahead of the technological advances of his time to propose a new way of perceiving the world and life.

Automatic Estimation of Tillers and Leaf Numbers in Rice Using Deep Learning for Object Detection

  • Hyeokjin Bak;Ho-young Ban;Sungryul Chang;Dongwon Kwon;Jae-Kyeong Baek;Jung-Il Cho ;Wan-Gyu Sang
    • Proceedings of the Korean Society of Crop Science Conference
    • /
    • 2022.10a
    • /
    • pp.81-81
    • /
    • 2022
  • Recently, many studies on big data based smart farming have been conducted. Research to quantify morphological characteristics using image data from various crops in smart farming is underway. Rice is one of the most important food crops in the world. Much research has been done to predict and model rice crop yield production. The number of productive tillers per plant is one of the important agronomic traits associated with the grain yield of rice crop. However, modeling the basic growth characteristics of rice requires accurate data measurements. The existing method of measurement by humans is not only labor intensive but also prone to human error. Therefore, conversion to digital data is necessary to obtain accurate and phenotyping quickly. In this study, we present an image-based method to predict leaf number and evaluate tiller number of individual rice crop using YOLOv5 deep learning network. We performed using various network of the YOLOv5 model and compared them to determine higher prediction accuracy. We ako performed data augmentation, a method we use to complement small datasets. Based on the number of leaves and tiller actually measured in rice crop, the number of leaves predicted by the model from the image data and the existing regression equation were used to evaluate the number of tillers using the image data.

  • PDF

Modeling Metaverse Avatars and K-Fashion Apparel 3D Production -Focus on Developing Styling Work with K-Designer Items- (메타버스 아바타 및 K-패션의류 3D 제작 모델링-K 디자이너 아이템을 활용한 스타일링 작업물 개발을 중심으로-)

  • Sojin Kim;Boyoung Kang
    • Journal of Fashion Business
    • /
    • v.27 no.5
    • /
    • pp.60-77
    • /
    • 2023
  • The scale of the industry utilizing the Metaverse platform is gradually growing around the world. Fashion brands are also starting to utilize the Metaverse platform as a new market to replace the next e-commerce platform by targeting new consumers, MZ generation, and even Alpha generation. In this study, a real K-fashion designer's outfit was made into a 3D outfit using CLO 3D program to express it in a new market, the Metaverse 3D platform. It was then compared with a real outfit. An avatar prototype was completed using Max program to simulate the 3D digital fashion outfit and produce an avatar through an optimization process. The 3D outfits showed the same level of results as the actual outfits in terms of fabric surface, material texture, drapability, overall outfit, details, and trimmings. In addition, we proposed a 2D work on total styling suggestion and modeling to secure data sets for future AI-based styling services. In conclusion, this study revealed that actual outfits and 3D outfits had the same results. It is significant that it can be a sample work to build a styling data set through styling suggestion and content production as a significant amount of styling DB construction will be required before AI styling automation services.

The effect of emotional experience on customer response in the Metaverse: Focusing on medical tourism services (메타버스에서의 정서적 경험이 고객반응에 미치는 효과: 의료관광서비스를 중심으로)

  • Yoon Yong Hwang;Mi Ra Kim
    • Smart Media Journal
    • /
    • v.13 no.2
    • /
    • pp.156-164
    • /
    • 2024
  • The Metaverse as a combination of physical and digital space, provides many consumers with a different process of search, evaluation, consumption, and disposal than before, based on hyper-connected and hyper-realistic services. Therefore, it is necessary to examine what kind of sensory experiences customers feel when performing various activities in the Metaverse and how these experiences affect customers' behavioral responses. This study measured the temporal and emotional experience of the Metaverse service environment felt during the Metaverse experience journey of customers experiencing medical tourism services. The results of the study showed that the emotional experience through Metaverse had a more positive impact on customer satisfaction and customer loyalty as the intensity of the Metaverse experience deepened. In particular, it was confirmed that the emotional experience at the end of the Metaverse service had a positive influence on repurchase behavior. These results show that, just as in the real world, customer experience in the Metaverse can provide important insight into understanding customers' post purchase behavior and how service providers can develop and implement effective customer experience strategies in the Metaverse environment.

A Study on Vibration and Noise through Finite Element Analysis of Large High Speed Press (대형 고속프레스의 유한요소해석을 통한 진동 및 소음에 대한 연구)

  • Seung-Soo Kim;Chul-Jae Jung;Chun-Kyu Lee
    • Design & Manufacturing
    • /
    • v.17 no.4
    • /
    • pp.14-23
    • /
    • 2023
  • The electric vehicle market is developing rapidly around the world. Also, parts of electric vehicles require precision.In order to produce high-precision motor cores,Press equipment must also have good precision. Drive motor cores are an important technology for electric vehicles. It uses a large high-speed press to mass-produce drive motor cores. Because it's a large high-speed press, there are many reasons why the precision is not good. One of the causes is vibration and noise. Recently, as environmental demands have become stricter, regulations on noise and vibration have been strengthened. It is important for press machines to reduce vibration first for sound insulation and dust proofing. This is because the "breakthrough" phenomenon occurs in the press. Dynamic precision is the precision under the load of the press, Design considering strain and stiffness shall be made. Vibration and noise may occur due to SPM of high-speed press,And vibration and noise can cause structural deformation of the press. Structural deformation of the press can affect the precision of the product.Noise and vibration also cause problems for workers and work environments. Problems with vibration and noise occur during press processing, and vibration and noise lead to damage to the mold or defects in the product. Reliability in high-quality technology must be secured with low noise and low vibration during press processing. Modular shape and deformation energy effects were analyzed through finite element analysis. In this study, a study on vibration and noise countermeasures was conducted through finite element analysis of a large high-speed press.

Description and Genomic Characteristics of Weissella fermenti sp. nov., Isolated from Kimchi

  • Jae Kyeong Lee;Ju Hye Baek;Dong Min Han;Se Hee Lee;So Young Kim;Che Ok Jeon
    • Journal of Microbiology and Biotechnology
    • /
    • v.33 no.11
    • /
    • pp.1448-1456
    • /
    • 2023
  • A Gram-positive, non-motile, and non-spore-forming lactic acid bacterium, designated as BK2T, was isolated from kimchi, a Korean traditional fermented vegetable food, and the taxonomic characteristics of strain BK2T, along with strain LMG 11983, were analyzed. Both strains optimally grew at 30℃, pH 7.0, and 1.0% NaCl. Cells of both strains were heterofermentative and facultatively anaerobic rods, demonstrating negative reactions for catalase and oxidase. Major fatty acids (>10%) identified in both strains were C18:1 ω9c, C16:0, and summed feature 7 (comprising C19:1 ω6c and/or C19:1 ω7c). The genomic DNA G+C contents of both strains were 44.7 mol%. The 16S rRNA gene sequence similarity (99.9%), average nucleotide identity (ANI; 99.9%), and digital DNA-DNA hybridization (dDDH; 99.7%) value between strains BK2T and LMG 11983 indicated that they are different strains of the same species. Strain BK2T was most closely related to Weissella confusa JCM 1093T and Weissella cibaria LMG 17699T, with 100% and 99.4% 16S rRNA gene sequence similarities, respectively. However, based on the ANI and dDDH values (92.3% and 48.1% with W. confusa, and 78.4% and 23.5% with W. cibaria), it was evident that strain BK2T represents a distinct species separate from W. confusa and W. cibaria. Based on phylogenetic, phenotypic, and chemotaxonomic features, strains BK2T and LMG 11983 represent a novel species of the genus Weissella, for which the name Weissella fermenti sp. nov. is proposed. The type of strain is BK2T (=KACC 22833T=JCM 35750T).

Analysis of Fashion Brand Cases Using 3D Virtual Clothing Technology - Focusing on Green Design Perspective - (3D 가상의상 기술을 활용한 패션 브랜드 사례 분석 - 그린디자인 관점을 중심으로 -)

  • Si Eun Kim;Min Ji Kim
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.26 no.2
    • /
    • pp.115-127
    • /
    • 2024
  • This study was initiated by focusing on the characteristics of 3D virtual clothing utilized by fashion brands aiming for sustainability. The purpose of this study is to analyze the characteristics of fashion brands that utilize 3D virtual imagery to mitigate environmental pollution caused by the fashion industry from the perspective of green design. The research methodology draws on green design literature and analyzes three hypothetical cases. These include experiential immersive design, design that rewards engagement, and design that delivers economic benefits that were utilized by fashion brands from 2019 to 2023. The findings and conclusions are as follow. First, the for the commercialization of virtual clothing, offline stores are reproduced in the digital world to provide an immersive shopping experience, similar to reality. These promote fashion products in a virtual space without the constraints of space and time, and creates profits and sustainable value. Second, virtual clothing promotes playfulness. Games and events utilize branded virtual worlds and characters to attract users. Rewards are given for achieving goals, and it is a practice of green marketing that uses virtual items to express products and minimize resource waste. Third, virtual clothing is affordable and can reduce the financial burden on consumers by digitally reproducing expensive products as physical brand collections at an acceptable price point. This reduces environmental pollution, saves physical resources, and increases the utilization of virtual clothing by providing a convenient way to purchase. This study is a basic study that examines the current status and characteristics of fashion brands' use of 3D virtual imagery from the perspective of green design based on literature and case analysis, and follow-up studies are expected on empirical virtual imagery activation measures through interviews or surveys with users for each case.

Development of Smart Port Technology Introduction Priorities Using AHP Analysis - Focusing on the automation pier of Gwangyang Port - (AHP분석을 활용한 스마트항만 기술 도입 우선순위 도출 - 광양항 자동화부두를 중심으로 -)

  • Han, Seung-Hoon;Ahn, Seung-Hyun;Lee, Hye-Ryeong
    • Journal of Korea Port Economic Association
    • /
    • v.40 no.2
    • /
    • pp.79-90
    • /
    • 2024
  • This study focuses on prioritizing the technology needed for the Gwangyang Port automated terminal. While the world's leading ports are moving forward with the implementation of full unmanned automation and digital smartisation, South Korea is still in the early stages of this process. In order to enhance domestic smart port capabilities and technological competitiveness, the government is promoting the construction of a fully automated terminal at Gwangyang Port. This terminal will test various advanced technologies in the domestic port sector and build infrastructure capable of responding to increasingly sophisticated technologies. The study defines the concept of a smart port for Gwangyang Port and derives an advanced technology pool from domestic and international research. Expert survey and AHP analysis were used to calculate the weight of each technology attribute based on characteristics and urgency. The integration of these weights and importance scores determined the priority of technology adoption. The results showed that automation and optimisation technologies had the highest priority, while environmental and energy-related technologies ranked lower.