• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.963-986
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• 2022

This article surveys the fashion forecasting industry in Korean domestic markets. With the rise of new media and devices with high technology, the paradigm of fashion trends forecasting systems has dramatically changed. New perspectives of trend forecasting are required to understand the trend flow and consumer behavior of the MZ generation. The research questions are as follows: 1) Major trend forecasting companies studied the development of their strategies and new forecasting methods. 2) The consumers' needs in the domestic market were analyzed. The influence of the trend companies' forecasting on the market was investigated. The results are as follows: 1) International trend forecasting significantly affected the domestic market. The concordance rate between consumers' online searches about fashion trends was approximately 70.14%. The match rate by category is as follows: The highest rate, 85.06% is from pattern and print, color is 83.92%, the item is 80.39%, and style is 54.32%. 2) Specialized information such as the Pantone color chart is being widely consumed, leading to a trend among the masses. 3) The Korean-specific socio-cultural background has an impact on domestic trends.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.236-240
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• 2015

The accelerating adoption of BIM (Building Information Modeling) is challenging collaboration practices established in the construction industry. The implementation of BIM involves changes in participants work, organization, processes and collaboration methods. Therefore there is a need to be able to measure effectively and accurately collaboration, in order to analyze and determine current practices and their performances in organizations (company, team project) as well as changes required. Previous researches scope from evaluating BIM maturity of an organization to BIM collaboration requirements but lack of proper tools and methods to analyze collaboration performances. This is especially true when it comes to evaluate the efficiency and collaboration performances of processes rather than systems or organizations. Thus this research aims to analyze systematically and comprehensively previous researches proposing diversified methods to evaluate BIM performances and collaboration. Furthermore it aims to suggest key indicators to evaluate collaboration performances of processes and project organizations. This research may contribute to better understanding of collaboration performances within organizations using BIM and further development of evaluation method for analyzing BIM design project.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.304-307
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• 2013

Various programs have been developed to predict the energy consumption of a building as a result of recent increased social interest in the environmental friendliness of construction as measured by energy efficiency. The goal of environmental-friendliness, which is achieved by predicting the energy consumption of a building, can be realized in the design stage by applying a variety of technologies, planning factors and planning systems. However, most energy analyzing engines are only suitable for use in the advanced stages of design because of the large amount of design information that must be entered. Thus, because the simulation programs currently used are not suitable for use in the early stages of design, this study suggests a prediction logic that provides an overview of the energy consumption of a building according to its size, scope, and purpose by analyzing statistics collected by government agencies.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.4
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• pp.1-10
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• 2023

Purpose - Investigating the connection between 'Oriental philosophy' and financial success is an adventure into the world of old knowledge and its applicability to the modern era. Thus, the current study aims to find ways to approach economic growth in a more inclusive, sustainable, and comprehensive way if we can sort out the complex webs that bind these two fields. Research design, data, and methodology - The main component of the current study is a thorough literature investigation in the current major database that gathers information from fifteen significant research articles. Numerous disciplines, including political science, economics, philosophy, and cultural studies, are represented among the selected papers. Result: The finding section provides a comprehensive knowledge of how concepts of oriental philosophy intersect with and have the capacity to revolutionize economic systems by delving into the subtle insights gleaned from the literature survey, case studies, and comparative analyses. Conclusion - The study concludes that oriental philosophies' emphasis on social harmony and community welfare points to the necessity of policies beyond only looking at financial data. Practitioners can use the study's conclusions to guide the creation of inclusive policies that put the welfare of all people first, deal with social injustices, and advance environmental sustainability.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.6
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• pp.277-283
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• 2023

Vital signals provide essential information regarding the health status of individuals, thereby contributing to health management and medical research. Present monitoring methods, such as ECGs (Electrocardiograms) and smartwatches, demand proximity and fixed postures, which limit their applicability. To address this, Non-contact vital signal measurement methods, such as CW (Continuous-Wave) radar, have emerged as a solution. However, unwanted signal components and a stepwise processing approach lead to errors and limitations in heart rate detection. To overcome these issues, this study introduces an integrated neural network approach that combines noise removal, demodulation, and dominant-frequency detection into a unified process. The neural network employed for signal processing in this research adopts a MLP (Multi-Layer Perceptron) architecture, which analyzes the in-phase and quadrature signals collected within a specified time window, using two distinct input layers. The training of the neural network utilizes CW radar signals and reference heart rates obtained from the ECG. In the experimental evaluation, networks trained on different datasets were compared, and their performance was assessed based on loss and frequency accuracy. The proposed methodology exhibits substantial potential for achieving precise vital signals through non-contact measurements, effectively mitigating the limitations of existing methodologies.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

• Journal of the Korea Safety Management & Science
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• v.25 no.4
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• pp.15-23
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• 2023

This study analyzed effective capacity building education plans for public institution management supervisors. A survey was conducted on 635 management supervisors of public institutions (99 institutions) subject to the safety management rating system to understand the characteristics of educational participants and the impact of educational satisfaction on professionalism improvement after capacity building education. As a result of statistical analysis, the professional improvement according to the affiliation of educational participants was higher in the workplace and construction site divisions than in the research facility division, and the professional improvement according to the working period was higher for more than 15 years than for less than 5 years and less than 15 years. In addition, the quality of education had a significant positive (+) effect on the degree of professional improvement. This study can be used as basic data for further research related to capacity building education for public institution management supervisors

• Journal of Korean Society of Rural Planning
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• v.30 no.3
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• pp.55-62
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• 2024

This study aimed to resolve issues in performance monitoring of the ecological sector of the Agricultural Environment Conservation Program through a comparative study of domestic ecological monitoring cases and to identify suitable performance monitoring methods for the project. To achieve this objective, current performance monitoring of the Agricultural Environment Conservation Program was compared and analyzed with domestic ecological monitoring cases to examine their applicability. Research results indicate that domestic ecological monitoring covers a wide range, making it difficult to diagnose the ecological environment at the village level. Therefore, it seems challenging to use these data for evaluating the performance of residents' activities. To accurately assess performances of participating villages in the project, on-site monitoring of the target areas is essential. For this purpose, efforts should be focused on strengthening on-site monitoring through the establishment of collaborative systems. However, domestic ecological monitoring can be utilized for long-term performance monitoring in the Agricultural Environment Conservation Program. By extracting necessary data on agricultural areas through geographic information and particularly by utilizing survey results according to the 'cultivated land ecosystem' type, long-term performance of the project could be evaluated. Accordingly, this study can serve as foundational research for establishing an ecological performance monitoring plan and system suited to the project.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.5
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• pp.1303-1317
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• 2024

The development of high-performance underwater propulsion devices has gained importance with the expansion of recreational and industrial diving applications. This study aims to develop and validate a waterjet-type diver propulsion system capable of achieving a top speed of 3.8 knots and an operational time of over 120 minutes. Utilizing advanced modeling and simulation techniques, the design focuses on minimizing hydrodynamic resistance and optimizing buoyancy. Structural and fluid dynamic analyses were conducted to ensure the device's stability and performance under 20 atm pressure at a depth of 200 meters. The propulsion system employs a sensorless BLDC motor and a 36V lithium-ion battery pack to enhance efficiency and reliability. Field tests confirmed an average speed of 3.88 knots and a continuous operation time of 150 minutes, exceeding the initial targets. This research demonstrates significant advancements in diver propulsion technology, providing valuable insights for future underwater equipment development. The outcomes are poised to enhance the safety, efficiency, and usability of diver propulsion devices, with broader applications in marine research, environmental monitoring, and resource exploration.

• Journal of Web Engineering
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• v.21 no.4
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• pp.1239-1264
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• 2022

This study examined ethical ways to use welfare technology in a situation where the demand for non-face-to-face welfare services using Cloud based healthcare systems had increased rapidly in caring for elderly people who live alone. Through focus group interviews with social workers related to the care of elderly people who live alone, in-depth interviews were conducted on the current situation, problems, ethical issues, and development directions arising in the implementation of welfare technology. The main areas of interest were focused on improving safety in caring them using IoT technology and enhancing emotional support in preventing lonely deaths using companion robot and AI speaker. Issues such as the need for individualization, client-centeredness, privacy, self-determination, competence, informed consent, right to know, convenience, and advocacy were identified as important ethical considerations related to use of welfare technology. The research results suggested that various stakeholders should participate in the development of ethical indicators and welfare technology for the ethical use of welfare technology.