• Journal of Korea Port Economic Association
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• v.28 no.3
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• pp.127-150
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• 2012

A survey showed that the public perception of the shipping industry's overall image and economic role was relatively positive. The survey revealed that public perception was mixed with respect to the multifaceted role of the shipping industry. Based on the results of this survey, this paper proposes three approaches to improving the public perception of the shipping industry. The organization contact approach includes establishing shipping institutes for city people, holding various events targeted at the public, establishing a shipping memorial hall, developing a shipping-related culture and tourism, reinventing the image of the shipping industry through a shipping-culture movement, and creating new views of the shipping industry by conducting formal education. The goods and services contact approach includes building a brand image for shipping services, providing B2C services, utilizing the national image for the shipping industry, and participating in international cooperation projects. The text contact approach includes B2B advertising, advertisements focused on the national economic and multifaceted role of the shipping industry, package advertisements for the shipping industry and related industries, the Internet and high-technology media, government-initiated PR activities regarding the multifaceted role of the shipping industry, and funding for advertising the shipping industry.

• Korean Journal of Organic Agriculture
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• v.26 no.1
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• pp.1-17
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• 2018

This study analyzes the management performance of environmentally-friendly rice farms using GCM method based on the multifaceted approach. This approach compares the management performance of GCM farms before and after the introduction of GCM, as well as the performance of GCM farms with the performance of conventional farms. It also compares the technical and managerial competence level of surveyed GCM farms with that of conventional farms based on the standard diagnosis table developed by Rural Development Adminstration. Results showed that average income has increased after the introduction of the GCM method and the average income of GCM farms was higher than that of conventional farms, while the level of rice production in farms using GCM method was lower than that of conventional farms. In addition, the technical and managerial competence score of surveyed farms using GCM method was higher than that of conventional farms. These results implies that the higher management performance of GCM farms compared to the conventional farms is attributed to not only the GCM method but also the competence level of farms using GCM method.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.17-25
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• 2023

The alarming global prevalence of Type 2 Diabetes Mellitus (T2DM) has catalyzed an urgent need for robust, early diagnostic methodologies. This study unveils a pioneering approach to predicting T2DM, employing the Extreme Gradient Boosting (XGBoost) algorithm, renowned for its predictive accuracy and computational efficiency. The investigation harnesses a meticulously curated dataset of 4303 samples, extracted from a comprehensive Chinese research study, scrupulously aligned with the World Health Organization's indicators and standards. The dataset encapsulates a multifaceted spectrum of clinical, demographic, and lifestyle attributes. Through an intricate process of hyperparameter optimization, the XGBoost model exhibited an unparalleled best score, elucidating a distinctive combination of parameters such as a learning rate of 0.1, max depth of 3, 150 estimators, and specific colsample strategies. The model's validation accuracy of 0.957, coupled with a sensitivity of 0.9898 and specificity of 0.8897, underlines its robustness in classifying T2DM. A detailed analysis of the confusion matrix further substantiated the model's diagnostic prowess, with an F1-score of 0.9308, illustrating its balanced performance in true positive and negative classifications. The precision and recall metrics provided nuanced insights into the model's ability to minimize false predictions, thereby enhancing its clinical applicability. The research findings not only underline the remarkable efficacy of XGBoost in T2DM prediction but also contribute to the burgeoning field of machine learning applications in personalized healthcare. By elucidating a novel paradigm that accentuates the synergistic integration of multifaceted clinical parameters, this study fosters a promising avenue for precise early detection, risk stratification, and patient-centric intervention in diabetes care. The research serves as a beacon, inspiring further exploration and innovation in leveraging advanced analytical techniques for transformative impacts on predictive diagnostics and chronic disease management.

• Solar Energy
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• v.20 no.3
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• pp.61-73
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• 2000

Heat losses from receivers for a dish-type solar energy collecting system are numerically investigated. The analytical method for predicting conductive heat loss from a cavity receiver is used. The Stine and McDonald Model is used to estimate convective heat loss. Two kinds of techniques for the radiation analysis are used. The Net Radiation Method that is based on the radiation heat balance on the surface is used to calculate the radiation heat transfer rate from the inside surface of the cavity receiver to the environment. The Monte-Carlo Method that is the statistical approach is adopted to predict the radiation heat transfer rate from the reflector to the receiver. Based on the heat loss analysis, the performance of two different receivers for multifaceted parabolic solar collectors with several flat facets can be estimated, and the optimal facet size is obtained.

• Korean Management Science Review
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• v.16 no.2
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• pp.109-123
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• 1999

We have recognized that an organization should be viewed from a multifaceted perspective necessitating a sophisticated analytical and systematic approach to monitor and improve organizational performance. Although some performance measurement systems have been proposed and are currently being used in many organizations, no performance measurement system has presented a mechanism for integrating all of the information of performance measures in a way that considers relationships between them. This paper introduces the implementation of the performance information integration method(PIIM) which synthesizes all useful information of performance measures with consideration of the relationship and generates a single, global, organizational performance score. The PIIM was empirically validated by implementing in one of missouri Veterans Homes.

• Advances in nano research
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• v.15 no.6
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• pp.513-520
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• 2023

The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

• Asian Journal of Business Environment
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• v.9 no.3
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• pp.11-20
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• 2019

Purpose - The study aims to substantiate the approaches and principles of forming a model of social and labor relations adequate to the modern conditions of economic development. Research design, data, and methodology - The article deals with the issues of legal regulation of social and labor relations in the labor market of Kazakhstan; describes the current model of labor relations and its basic parameters; determines the external and internal factors; specifically, the influence of the new labor law on its further development in the direction of democratization and the establishment of social partnership as a regulatory institution in the labor relations field. Result - Result is the model of the system of social and labor relations proposed by the author, which allows us to cover the multifaceted nature of this phenomenon, to unite the influence of the external environment and the internal complex of their mutual relations and interdependencies. Conclusion - The creation of an effective model of social and labor relations should proceed from the multifaceted nature of their manifestation. This means that the theoretical and methodological basis for their formation should be a comprehensive approach to solving the problems of transformation and interaction of social and economic components.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.197-204
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• 2020

Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.353-361
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• 2021

As demands for health and wellbeing in the ageing society have grown, complex problems involving diverse stakeholders arise in the healthcare environment. The objective of this study is to identify roles and abilities of designers in a healthcare setting where professionals from different disciplines collaborate to achieve a common goal. Case studies on healthcare design projects adapting interdisciplinary approach were explored to find which methods and processes were implemented effectively. Results are based on three research questions that lead to analyzing multifaceted roles of designers regarding process facilitation, manage relations, visualization, and imagination.

• Korean Journal of Biological Psychiatry
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• v.22 no.1
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• pp.1-6
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• 2015

Suicide, the fourth leading cause of death in Korea, is a serious national problem. The Korea National Suicide Survey (KNSS) is the result of the first legislation to address this issue, "Article 11 of THE ACT FOR THE PREVENTION OF SUICIDE AND THE CREATION OF A CULTURE OF RESPECT FOR LIFE" (the "Act for the Prevention of Suicide"). To overcome the limitations of previous studies, the KNSS was designed by collaborators from a variety of fields : psychology, epidemiology, social welfare, and psychiatry. The KNSS was composed of four substudies that addressed the multifaceted process involved in suicide-related behavior over time, exploring general attitudes toward suicide and suicidal ideation, suicide planning, suicide attempts, and completed suicides. Study 1 examined the risk factors for suicide based on data regarding completed suicides ; Study 2 adopted the approach of a psychological autopsy ; Study 3 focused on suicide attempters ; and Study 4 explored attitudes toward suicide in the general population. The KNSS was designed to provide a comprehensive understanding of suicide from a longitudinal, multifaceted perspective to serve as a basis for policies aimed at suicide prevention.