• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.182-189
• /
• 2023

A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform

• Asia pacific journal of information systems
• /
• v.34 no.1
• /
• pp.1-25
• /
• 2024

Consumer demand for e-commerce services has skyrocketed due to the introduction of social distancing standards and lockdown measures that countries have taken to combat the pandemic. There has been a notable surge in the popularity of on-demand delivery services, with a significant influx of new users turning to the e-platform for assistance. This research paper tries to identify the enablers of E-commerce Utility and Service Quality and establish a connection using total interpretive structural modelling (TISM). Enablers are the building blocks for providing customers with an enhanced and more consistent service experience contributing to service quality. The enablers and the linkages thus established hold valuable insights for e-commerce marketers, aiding them in effectively reaching their customers, and achieving desired growth outcomes. The TISM- based model and the MICMAC analysis identified two barriers; website design and personalization as the decisive attributes of e-commerce service quality, possessing strong driving power and weak dependence. Furthermore, the factors of reliability, responsiveness, information, and ease of use form the linkage zone, indicating that any action taken on these factors would not only influence other factors but also have a reciprocal effect on them.

• Women's Health Nursing
• /
• v.30 no.2
• /
• pp.140-152
• /
• 2024

Purpose: Social support is essential for postpartum well-being, but little is known about the postpnatal social support preferred by primiparous women. This study aimed to comprehensively understand and describe the meaning of postnatal social support experience in primiparous women. Methods: The participants were seven primiparous women who were within 1 year after childbirth, recruited through purposive and snowball sampling from an online parenting community. The data were collected through in-depth interviews from November 14 to 28, 2022. Participants were interviewed face-to-face or via phone or online platform, according to their choice. Colaizzi's phenomenological qualitative research method was applied to analyze the meaning of the participants' experience. Results: Five theme clusters and fourteen themes were identified from the data. The five theme clusters are as follows: (1) Shortcomings of the childbirth and postpartum care system I learned through my experience; (2) Government policies focusing on childbirth and child-rearing rather than postpartum recovery; (3) Driving force of postpartum recovery: Shared childbirth process; (4) Childcare on my own; and (5) Conflicted between being a stay-at-home mom and a working mom under inadequate maternity protection policies. Conclusion: Despite postpartum support from the government that was perceived as inadequate, first-time mothers regained confidence and motivation for parenting with the help of family, peers, and social networks. First-time mothers need support from professionals and reliable online communities for postpartum recovery and parenting.

• The Journal of Industrial Distribution & Business
• /
• v.15 no.9
• /
• pp.1-9
• /
• 2024

Purpose: This study examines the impact of YouTube mukbang content characteristics on viewer satisfaction and word-of-mouth behavior. Drawing from theories in media psychology, consumer behavior, and communication studies, we investigate five key content characteristics: credibility, entertainment value, informativeness, visual appeal, and auditory quality. Research design, data and methodology: Using structural equation modeling with data from 206 mukbang viewers, we test hypothesized relationships between these characteristics, viewer satisfaction, and word-of-mouth behavior. Results: Research reveal that credibility and informativeness significantly and positively influence viewer satisfaction, while entertainment value, visual appeal, and auditory quality show no significant effect. Viewer satisfaction positively impacts word-of-mouth behavior. These findings challenge conventional assumptions about video content consumption and highlight the unique nature of mukbang viewing. Conclusions: The study contributes to digital content consumption literature by providing empirical evidence of factors influencing viewer engagement in the mukbang context. It offers practical insights for content creators, marketers, and platform developers, emphasizing the importance of informative and credible content in driving viewer satisfaction and promoting positive word-of-mouth. By extending established media theories to this emerging form of digital entertainment, our research paves the way for future studies. The study's limitations, including its cross-sectional nature and specific cultural context, suggest directions for future research.

• Journal of Practical Engineering Education
• /
• v.15 no.1
• /
• pp.97-105
• /
• 2023

Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

• Korean Journal of Construction Engineering and Management
• /
• v.17 no.3
• /
• pp.32-42
• /
• 2016

In Korea, the absence of BIM use in existing civil structures and buildings is driving a demand for as-built BIM. As-built BIMs are often created using laser scanners that provide dense 3D point cloud data. Conventional static laser scanning approaches often suffer from limitations in their operability due to the difficulties in moving the equipment, the selection of scanning location, and the requirement of placing targets or extracting tie points for registration of each scanned point cloud. This paper aims at reducing the manual effort using a kinematic 3D laser scanning system based on graph-based simultaneous localization and mapping (SLAM) for continuous indoor mapping. The robotic platform carries three 2D laser scanners: the front scanner is mounted horizontally to compute the robot's trajectory and to build the SLAM graph; the other two scanners are mounted vertically to scan the profiles of surrounding environments. To reduce the accumulated error in the trajectory of the platform through loop closures, the graph-based SLAM system incorporates AdaBoost loop closure approach, which is particularly suitable for the developed multi-scanner system providing more features than the single-scanner system for training. We implemented the proposed method and evaluated it in two indoor test sites. Our experimental results show that the false positive rate was reduced by 13.6% and 7.9% for the two dataset. Finally, the 2D and 3D mapping results of the two test sites confirmed the effectiveness of the proposed graph-based SLAM.

• Korean Journal of Construction Engineering and Management
• /
• v.23 no.4
• /
• pp.3-14
• /
• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.

• Journal of Popular Narrative
• /
• v.26 no.2
• /
• pp.221-247
• /
• 2020

This paper examines the meaning of Pyeongsari, the main stage of the novel 'Toji (Land )' and the original experience space engraved in the lives of the characters and suggests the direction of Pyeongsari as a 'Toji (Land )' content platform. Pyeongsa-ri, an imaginary space in the novel, starts from the background of the original work and turns into a representative tourist space for Ha Dong-gun. However, it is necessary to provide cultural experience-type contents that visitors can experience in person. In the original work, Pyeongsari is an ideal community and a symbol of the Korean modern history of suffering and pioneering. Therefore, taking advantage of this meaning, it is necessary to prepare a cultural experience space that shows Confucian culture, women's labor culture, and shamanic culture to draw on visitors' experiences. In addition, the app should be developed in connection with transformed works that have been the driving force behind the reorganization of Pyeongsari, and education and experience spaces using augmented reality are provided on the web. This interaction between digital and reality makes the meaning of the original or transformed works contemporaneous, while contributing to the visitor's own experience. In addition, through this, Pyeongsari can evolve into a cultural experience content platform that reflects the meaning of Korean culture and life. This paper is significant in that it suggests the direction of Pyeongsari's space planning for the 'geography of meaningful places'. In addition, while showing how the imaginary space of the original literary work has reorganized the space of reality, there are implications for the media content of the literary work and the terrain of the culture and arts industry.

• Smart Media Journal
• /
• v.11 no.11
• /
• pp.49-62
• /
• 2022

Recently, with the development of Smart City Solutions such as Big data, AI, IoT, Autonomous driving, and Digital twins around the world, the proliferation of various smart devices and social media, and the record of the deeds that people have left everywhere, the construction of Smart Cities using the "Big Data" environment in which so much information and data is produced that it is impossible to gauge the scale is actively underway. The Purpose of this study is to construct an objective and systematic analysis Model based on Big Data to improve the transportation convenience of citizens and formulate efficient policies in Urban Information and Public Transportation accessibility in sustainable Smart Cities following the 4th Industrial Revolution. It is also to derive the methodology of developing a Big Data-Based public transport accessibility and policy management Platform using a sustainable Urban Public DB and a Private DB. To this end, Detailed Living Areas made a division and the accessibility of basic living amenities of Gwangju Metropolitan City, and the Public Transportation system based on Big Data were analyzed. As a result, it was Proposed to construct a Big Data-based Urban Information and Public Transportation accessibility Platform, such as 1) Using Big Data for public transportation network evaluation, 2) Supporting Transportation means/service decision-making based on Big Data, 3) Providing urban traffic network monitoring services, and 4) Analyzing parking demand sources and providing improvement measures.

• Journal of the Korea Society for Simulation
• /
• v.22 no.4
• /
• pp.99-107
• /
• 2013

In this study, a conceptual study was performed for the leisure boat simulator used for navigation training. The aim of this work was to secure the basic operational capability of a leisure boat as a simulated driving device for a general novice operator. A leisure boat simulator was designed to support a user more efficiently regarding navigation proficiency and safety training, as well as to minimize the limitation of place and time and it conveniently and cheaply. A cockpit for navigation status display and operational input, 3D visualization graphic device, and parallel display device were designed to give the trainee a maximum sense of reality by applying a motion platform with six degree of freedom, in which disturbance movement such waves, winds, and tide were simulated for the operator. Leisure boat simulator training scenario was developed by analysis of water-related leisure activities act and sea traffic safety act.