Earticle

Bicycles and electric bicycles, which are short-distance vehicles, do not generate exhaust gases that cause environmental pollution. Rather, they are in the spotlight because they have exercise effects that help the health of the human body while operating the bicycle. Power-trains of bicycle have traditionally used chains and sprockets, and they still have the largest market share. In the previous study, a new type of bicycle power-train was proposed. The power transmission medium of the proposed power-train device employs a belt. The core of the proposed new bicycle power-train is the configuration of the pulley. The core component of the proposed power-train pulley is a spline. In this study, the basic shape of the proposed power-train model and the basic role and design principles of the spline used in the configuration of the model were studied. The target splines are linear spline used for the central axis of the power-train pulley and helical spline for shifting. The linear spline is a basic shape, and the helical spline is an equation that can calculate the inclination angle and the shift range.

The meta-universe, as an innovative medium of digital technology that integrates the virtual and real worlds, is revolutionizing the traditional K-POP industry by leveraging advanced technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and motion capture. This transformation is gradually reshaping the entire entertainment sector. As K-POP continues its global expansion, the industry is actively exploring the application of virtual technologies, presenting viewers with a more diverse range of entertainment content. This thesis reviews the development history of virtual technology in K-POP, analyzes the practical applications of VR, AR, AI, and motion capture within the industry, and examines how these technologies enhance artist-fan interactions and immersion. The study demonstrates that the incorporation of virtual technology not only overcomes the limitations of traditional entertainment modes but also provides new directions for the future development of the K-POP industry.

The preservation and transmission of intangible cultural heritage, such as traditional martial arts, have historically relied on manual processes that are both resource-intensive and costly. Due to budget limitations, many of these cultural assets are at risk of deterioration or remain hidden in museum storage, inaccessible to the public. To address these challenges, we propose a Digital Historical Data Transformation mechanism utilizing metaverse development techniques. This innovative approach converts 2D images into 3D representations, allowing for the extraction and visualization of associated actions in a three-dimensional space. By applying this methodology to the "Muyedobotongji," a classic text on traditional martial arts, we aim to digitally preserve these practices in a way that is both immersive and interactive. The transformation of static 2D images into dynamic 3D visualizations will not only enhance the restoration process but also make these cultural assets more accessible and engaging for future generations. This digital approach promises a more efficient and sustainable means of preserving intangible cultural heritage, ensuring that these traditions continue to thrive in the modern world.

Xiaohongshu, a community-centric social media platform, has pioneered a unique e-commerce model known as 'buyer commerce,' leveraging user-generated content (UGC). Distinctively, Xiaohongshu Live Commerce focuses on fostering deep user relationships and providing superior product and information services, crucial for sustained consumer engagement. This study investigates consumer behavior in purchasing health functional foods via Xiaohongshu Live Commerce, aiming to understand the determinants of continuous usage intention. A novel theoretical framework was devised by integrating the Expectation Confirmation Model (ECM) and the Task-Technology Fit (TTF) model. The research model scrutinizes the impact of Xiaohongshu Live Commerce characteristics, such as perceived usefulness and perceived online intimacy, on tasktechnology fit. Additionally, it examines the moderating role of perceived risk specific to health functional foods and the influence of expectation confirmation on perceived usefulness, online intimacy, and tasktechnology fit, alongside their effects on satisfaction and continuous usage intention. The findings reveal that expectation confirmation positively influences perceived usefulness, online intimacy, and task-technology fit. Perceived usefulness significantly enhances task-technology fit, while perceived online intimacy and risk do not significantly affect task-technology fit. Moreover, perceived usefulness and intimacy positively impact consumer satisfaction and continuous usage intention, with task-technology fit playing a pivotal role. Perceived risk moderates the relationship between perceived usefulness and task-technology fit. These insights suggest that companies can augment consumer satisfaction and continuous usage intentions by enhancing the perceived usefulness of technology, effectively managing perceived risks, and continually improving user experience

Smart tourism enhances communication between tourists and residents, improves quality of life, increases the utilization of local tourism resources, and helps manage cities efficiently. This paper analyzes recent issues and trends in smart tourism, derives key factors for activating smart tourism based on the analyzed data, and conducts research on promoting smart tourism. Using smart tourism as a keyword, data was collected through Textom. The collection scope included a total of 33,588 pieces of data related to smart tourism over the past year, from May 1, 2023, to May 1, 2024. The data was analyzed using text mining and social network analysis techniques. Through this analysis, the paper suggests directions for the development of smart tourism, enabling the activation of local tourism and effective urban management.

In today's globalized economy, franchise companies are strategically preparing to expand beyond domestic markets into international markets. When expanding overseas, it is crucial that the brand identity of a franchise company is well established. Through marketing activities, the brand's value must be enhanced to build a positive image of the brand, and all these activities are referred to as brand management. This study aimed to analyze the relationship between brand management and international expansion, utilizing big data analysis techniques with Textom. A total of 31,564 pieces of data were collected for the period from January 1, 2024, to May 1, 2024, and analyzed after undergoing a refinement process. The analysis results showed that brand management is an essential element in the strategic process of international expansion, and subsequent studies should focus on qualitative research

Healthcare services converged with ICT technology are improving quality of life and satisfaction through various customized services. In ICT-based medical services, data interchange between medical services is important, and HL7 FHIR, a medical data standard, enables efficient medical data interchange. FHIR-based medical information services using wireless data broadcasting can efficiently support massive clients. This paper proposes a function point model to evaluate the implementation cost of FHIR-based health information services using wireless data broadcasting. The proposed cost evaluation model can effectively evaluate the development cost by applying the complexity of converting medical data into FHIR format and the complexity of organizing indexes to efficiently support massive clients. The comparison of the proposed feature point evaluation model with simple feature points shows the efficiency and suitability of the proposed cost evaluation model.

In recent years, the frequency of fires in college dormitories has been increasing, primarily due to outdated electrical wiring and improper use of electrical appliances. Given the high population density in such buildings, fires can cause significant damage to life and property. To better understand the dynamics of dormitory fires, this study uses Pyrosim fire simulation software to model fire scenarios in a six-story male dormitory. The study focuses on analyzing key factors such as heat release rates, smoke spread, temperature changes, and carbon monoxide concentrations during a fire. Simulation results indicate that smoke spreads rapidly after a fire breaks out, significantly reducing visibility and hindering evacuation efforts. Simultaneously, temperatures near the fire source rise quickly, exceeding safe levels, and carbon monoxide concentrations reach dangerous thresholds in a short time, greatly increasing the risk of poisoning. Based on these findings, the study proposes several recommendations to improve fire prevention in dormitories, including installing smoke barriers, improving evacuation routes, adding mechanical smoke extraction systems, and enhancing students' fire safety awareness and skills through regular training. These measures are crucial for reducing fire risks and enhancing fire safety in college dormitories.

This study uses Pathfinder software to simulate and analyze the safe evacuation of university dormitory occupants. Fire safety issues in densely populated dormitory buildings are gaining increasing attention, and improving emergency evacuation efficiency is crucial for reducing the harm caused by fire incidents. The study focuses on a student dormitory building in a university, simulating different evacuation scenarios and analyzing the impact of factors such as evacuation routes, personnel distribution, exit width, and stair width on evacuation time. Based on the actual dormitory conditions, parameters such as gender ratio, height range, shoulder width, and walking speed of the occupants were set, and evacuation times in various scenarios were compared.The simulation results show that proper planning of evacuation routes and increasing stair width significantly reduced evacuation times. The study recommends that universities establish systematic emergency response plans, conduct regular evacuation drills, optimize student dormitory layouts, and consider increasing stair width in dormitory building designs to improve evacuation efficiency and safety.

This study explores advanced machine learning techniques for improving crop yield prediction in smart farming, utilizing multi-temporal spectral data from drone-based multispectral imagery. Conducted in garlic orchards in Andong, Gyeongbuk Province, South Korea, the research examines the effectiveness of various vegetation indices and cutting-edge models, including LSTM, CNN, Random Forest, and XGBoost. By integrating these models with the Analytic Hierarchy Process (AHP), the study systematically evaluates the factors that influence prediction accuracy. The integrated approach significantly outperforms single models, offering a more comprehensive and adaptable framework for yield prediction. This research contributes to precision agriculture by providing a robust, AI-driven methodology that enhances the sustainability and efficiency of farming practices.

High rise hotels are densely populated and have complex ignition sources. Once a fire occurs, it can cause serious casualties and property damage. The impact of a fire is greater on special groups such as the elderly and children who move slowly. At present, research mainly focuses on the impact of high-rise building structures on evacuation consequences, but there is little research on the safety evacuation consequences of elderly and children in high-rise hotels, as well as the behavior of people in groups during the safety evacuation process. Therefore, we propose to use Pathfinder software to simulate three scenarios for the elderly and children in high-rise hotels. Scenario 1 involves arranging the elderly and children on higher floors, Scenario 2 involves arranging them on middle floors, and Scenario 2 involves arranging them on lower floors. We further provide three types of personnel pairing schemes for each scenario, namely: no one pairing, two people pairing, and three people pairing. Through simulation analysis, we found that placing elderly and children with lower mobility on lower floors resulted in the shortest safe evacuation time; The evacuation time for solo actions without companionship is the shortest, followed by two people in groups, and the safety evacuation time for three people in groups is the longest. Our research findings have significant implications for improving the evacuation efficiency of personnel in fire scenarios.

This study investigates the effectiveness of tailored anti-smoking campaigns by examining the interplay between self-construals, cigarette types, and stages of change in smoking cessation efforts. Focusing on both combustible cigarette and electronic cigarette users, the research explores how messages framed around either independent or interdependent self-construals influence attitudes and intentions to quit smoking. The findings indicate that in the early stages of cessation, combustible cigarette users respond more positively to messages emphasizing independent self-construals, which highlight personal health risks. Conversely, in the later stages, e-cigarette users are more receptive to interdependent self-construal messages that stress the broader impacts of smoking. We emphasize the importance of aligning smoking cessation messages with the psychological profiles and cessation readiness of different smoker groups. We offer theoretical and empirical insights for enhancing the effectiveness of public health campaigns.

Draft curtains are an important tool to reduce the spread of fire smoke in buildings. This paper mainly studies the influence of draft curtains on smoke spread in a hospital outpatient building with a spacious hall. The outpatient building of a county hospital in China is taken as the research object, and a fire simulation model is established based on PyroSim software. Four scenarios are designed: no draft curtains in the hall, draft curtains with a length of 1.5m in the hall, draft curtains with a length of 2.0m in the hall, and draft curtains with a length of 2.5m in the hall. At the same time, considering the worst situation, only the main emergency exit is opened, while the remaining emergency exits and windows are all closed, and the fire-fighting facilities are not activated. The detection point is set at the open emergency exit, 1.8m above the ground. Through the simulation of four scenarios, the effect of draft curtains on smoke spread is discussed from four aspects: smoke layer height, temperature, visibility, and CO concentration. The results show that draft curtains have a significant impact on the spread of smoke in a hospital outpatient building with a spacious hall. The longer the draft curtains are, the better the smoke-blocking effect. It should be noted that in the actual design, the length of the draft curtains should be considered without affecting the evacuation of personnel.

This paper examines the performance improvement of a photovoltaic power generation system with a surge protection function by applying a digital surge detection device for surge suppression in a direct current distribution panel applied to a photovoltaic power generation system. The main components used for surge protection are mainly SAD, MOV, and GTA components, and a digital surge detection device was additionally applied to this. Each component has advantages and disadvantages in terms of performance and functionality for surge protection, so a surge protection device with meaningful performance and functionality must be designed in a complex device structure that harmonizes the advantages and disadvantages of each component in order to construct a surge protection device with meaningful performance and function. Through empirical experiments, a performance analysis of a complex surge detection device to which a digital surge detection device is applied was conducted. As a result of the experiment, through absorption and blocking of surges detected through a digital surge detection device, it has both absorption and blocking performance for surges and exhibits surge absorption characteristics for hundreds of voltages in micro second. This performance showed a relatively stable state against surge noise compared to conventional devices, which produced an output waveform of stable quality in the inverter output waveform.