• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.294-303
• /
• 2023

This study was to find out the differences in self-esteem, body composition, and muscle strength of middle-aged women, and nine physical labor groups were selected as beautification workers at D University in Cheonan, and a total of 17 were selected as non-physical labor groups were 8 full-time housewives living in Cheonan. After selecting the subjects, the subjects arrived 30 minutes before the start of the experiment and completed the self-esteem questionnaire. After taking the stability, the measurement was carried out in the order of body composition, grip strength, and isokinetic muscle function, and the independent sample t-test was conducted. First, middle-aged women's self-esteem according to the type of physical labor was high in the physical labor group in relation to others among the sub-factors. Second, there was no significant difference in body composition according to the physical labor patterns of middle-aged women. Third, there was no significant difference in lower limb isokinetic muscular strength according to the types of physical labor of middle-aged women. Third, there was no significant difference in lower limb isokinetic muscular strength according to the types of physical labor of middle-aged women. The self-esteem according to physical labor is caused by the sense of belonging in the workplace, and the difference between body composition and muscular strength is insignificant. Therefore, it is necessary to introduce a physical activity program to promote self-esteem due to aging and prevent physical deterioration regardless of occupation.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.215-222
• /
• 2023

In this paper, we examine the roles, mutual relationships, and guidelines for a healthy life as exemplified by the characters Santiago and Manolin in Ernest Hemingway's novel "The Old Man and the Sea" and use this content to compare the happy home life of elderly couples in Korea. Through a metaphorical exploration of the lives of elderly husbands and wives in Korean society, the study examines their significance as the core of the family, particularly during their senior years. Ernest Hemingway's "The Old Man and the Sea" portrays Santiago as a unique embodiment of virtue and humanity. As an elderly male fisherman, he symbolizes a profound connection with the sea, as well as qualities such as courage, patience, and unwavering passion. His story underscores the importance of pursuing new goals and maintaining hope even in old age. The relationship between Santiago and Manolin provides insights into the dynamics of elderly husbands and wives in their domestic lives. Manolin's unwavering support for Santiago and his understanding of Santiago's dreams exemplify the significance of mutual support and the establishment of common goals for elderly couples. These characters serve as exemplary models for understanding and supporting one another within a family setting. Within the context of family life, applying these exemplary models and relationship dynamics fosters mutual respect, collaboration, emotional expression, and effective communication. Supporting each other and working towards common goals can enhance the family atmosphere, resolve conflicts, and enrich domestic life. Furthermore, when elderly couples share common goals and enjoy activities together, they strengthen their bond and create a more fulfilling family life. These shared activities deepen the affection between elderly husbands and wives and contribute to a thriving household. Through the characters of Santiago and Manolin in "The Old Man and the Sea," we present in this study a deeper understanding of the values and roles within the domestic lives and affection of elderly husbands and wives. Mutual respect, collaboration, emotional expression, communication, mutual support, common goals, hope, and shared domestic activities all play pivotal roles in maintaining a healthy family life and establishing happiness and well-being within the family. We expect this study to offer valuable insights into the fields of family studies, elderly welfare, and sociology.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.366-382
• /
• 2023

Among the many novels penned by Thomas Hardy, the novel "Tess of the d'Urbervilles" came into print in 1891.In this novel, Hardy portrays Tess who was born and raised in a rural middle-class family but ends up working as a laborer, trapped in a society where she is subjugated by the men's wealth, leading a life marked by loneliness and isolation. The novel presents the status of women, moral struggles, and the challenging fate that they must overcome. It highlights the powerlessness of women living in a structurally unreasonable social environment, forced to depend on the ever-changing twists of destiny. This story delves into the complexities of love between the genders, moral conflicts, and the societal criticism that must be confronted. By utilizing the life of the young woman Tess, it underscores the struggle for existence and elucidates the roles, expectations, and constraints imposed on gender during the Victorian era. This research paper aims to compare the roles of women in the Victorian era in Britain and woman in contemporary Korean society. The Victorian era featured rigid gender norms, confining women to prescribed roles. In contrast, modern Korean society blends tradition and modernity, empowering women to play vital roles and reshape societal norms. Our research explores the interplay of tradition and change, providing a comprehensive understanding of women's evolving roles in both historical and contemporary contexts. We will present our discussions regarding the enduring roles that women have faced in both periods. Furthermore, we aim to highlight the distinctive roles women are called upon to play while dealing with the swift transformations in contemporary Korean society, recognizing them as essential agents in the agents in advancing Korean society.

• Korean Journal of Community Nutrition
• /
• v.28 no.5
• /
• pp.414-422
• /
• 2023

Objectives: This study evaluated usual dietary intakes of total fat and fatty acids among the Korean population based on the revised Dietary Reference Intakes for Koreans 2020 (2020 KDRIs). Methods: This study utilized data from the eighth Korea National Health and Nutrition Examination Survey (KNHANES 2019-2021). We included 18,895 individuals aged 1 year and above whose 1-day 24-hour dietary recall data were available. To calculate the external variability using the National Cancer Institute 1-day method, data from the U.S. NHANES 2017-March 2020 Pre-pandemic dataset were employed. The total fat and fatty acid intake were evaluated based on the Acceptable Macronutrient Distribution Ranges (AMDRs) and Adequate intake (AI) of 2020 KDRIs for each sex and age groups. Results: Approximately 86% of the Korean population obtained an adequate amount of energy from total fat consumption (within the AMDRs), indicating an appropriate level of intake. However, the percentage of individuals consuming saturated fatty acids below the AMDR was low, with only 12% among those under 19 years of age and 52% aged 19 years and older. On a positive note, approximately 70% of the population showed adequate consumption of essential fatty acids, exceeding the AI. Nevertheless, monitoring the intake ratio of omega 3 (n-3) to omega 6 (n-6) fatty acids is essential to ensure an optimum balance. Conclusions: This study explored the possibility of estimating the distribution of nutrient intake in a population by applying the external variability ratio. Therefore, if future KNHANES conduct multiple 24-hour recalls every few years-similar to the U.S. NHANES-even for a subset of participants, this may aid in the accurate assessment of the nutritional status of the population.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.361-369
• /
• 2023

Achieving realistic visual quality while maintaining optimal real-time rendering performance is a major challenge in evolving computer graphics and interactive 3D applications. Normal mapping, as a core technology in 3D, has matured through continuous optimization and iteration. Hybrid normal mapping as a new mapping model has also made significant progress and has been applied in the 3D asset production pipeline. This study comprehensively explores the hybrid normal techniques, analyzing Linear Blending, Overlay Blending, Whiteout Blending, UDN Blending, and Reoriented Normal Mapping, and focuses on how the various hybrid normal techniques can be used to achieve rendering performance and visual fidelity. performance and visual fidelity. Under the consideration of computational efficiency, visual coherence, and adaptability in different 3D production scenes, we design comparative experiments to explore the optimal solutions of the hybrid normal techniques by analyzing and researching the code, the performance of different hybrid normal mapping in the engine, and analyzing and comparing the data. The purpose of the research and summary of the hybrid normal technology is to find out the most suitable choice for the mainstream workflow based on the objective reality. Provide an understanding of the hybrid normal mapping technique, so that practitioners can choose how to apply different hybrid normal techniques to the corresponding projects. The purpose of our research and summary of mixed normal technology is to find the most suitable choice for mainstream workflows based on objective reality. We summarized the hybrid normal mapping technology and experimentally obtained the advantages and disadvantages of different technologies, so that practitioners can choose to apply different hybrid normal mapping technologies to corresponding projects in a reasonable manner.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.98-103
• /
• 2023

As technology advanced dramatically in the late 20th century, a new era of science arrived. The emerging era of scientific discovery, variously described as e-Science, cyberscience, and the fourth paradigm, uses technologies required for computation, data curation, analysis, and visualization. The emergence of the fourth research paradigm will have such a huge impact that it will shake the foundations of science, and will also have a huge impact on the role of data-information infrastructure. In the digital age, the roles of data-information professionals are becoming more diverse. As eScience emerges as a sustainable and growing part of research, data-information professionals and centeres are exploring new roles to address the issues that arise from new forms of research. The functions that data-information professionals and centeres can fundamentally provide in the e-Science area are data curation, preservation, access, and metadata. Basically, it involves discovering and using available technical infrastructure and tools, finding relevant data, establishing a data management plan, and developing tools to support research. A further advanced service is archiving and curating relevant data for long-term preservation and integration of datasets and providing curating and data management services as part of a data management plan. Adaptation and change to the new information environment of the 21st century require strong and future-responsive leadership. There is a strong need to effectively respond to future challenges by exploring the role and function of data-information professionals in the future environment. Understanding what types of data-information professionals and skills will be needed in the future is essential to developing the talent that will lead the transformation. The new values and roles of data-information professionals and centers for 21st century researchers in STEAM are discussed.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.386-394
• /
• 2023

This study investigated changes in salivary cortisol, lactic acid, and heart rate along the route during walking exercise in a forest environment for the purpose of reducing stress. Walking exercise in a forest environment was conducted on a Hill Type (Distance: 800m, Average slope 25°, Altitude 112m) and Step Type (Distance: 800m, Average slope 25°, Altitude 114m) routes for 10 female college students in their 20s. The subjects were asked to walk at a speed of 60 bpm. The resulting changes in salivary cortisol, lactate, and average heart rate during exercise were compared and analyzed using Repeated Measurement two-way ANOVA, and the maximum heart rate during exercise and average heart rate at rest were compared and analyzed using paired t-test, and the following results were obtained. First, there was no significant difference in salivary cortisol depending on the type and period of the forest, but it tended to gradually decrease. Second, there was a significant difference in lactic acid depending on the type and period, and it was higher in Step Type. Third, there was a significant difference in the average heart rate during exercise, and it was higher in Step Type. Fourth, there was a significant difference in maximum heart rate during exercise, and it was higher in Step Type. Fifth, there was no significant difference in average heart rate during rest. In summary, walking exercise in a forest environment can be effective for stress reduction for female college students in their 20s, but it appears that forest routes should be selected according to physical strength level, and walking exercise in a forest environment for long periods of time is not recommended. For this purpose, it is suggested that it is appropriate to select the Hill Type route.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.208-216
• /
• 2023

The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.104-110
• /
• 2023

In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.434-442
• /
• 2023

The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing factor to this gap in research is the limited investigation of drug modalities in the intensive care unit (ICU) context, due to the challenges of processing prescription data into the corresponding drug representations and a lack in the comprehensive understanding of these drug representations. This study addresses this gap by proposing a novel approach that leverages patient prescription data as a modality to improve existing models for AKI prediction. We base our research on Electronic Health Record (EHR) data, extracting the relevant patient prescription information and converting it into the selected drug representation for our research, the extended-connectivity fingerprint (ECFP). Furthermore, we adopt a unique multimodal approach, developing machine learning models and 1D Convolutional Neural Networks (CNN) applied to clinical drug representations, establishing a procedure which has not been used by any previous studies predicting AKI. The findings showcase a notable improvement in AKI prediction through the integration of drug embeddings and other patient cohort features. By using drug features represented as ECFP molecular fingerprints along with common cohort features such as demographics and lab test values, we achieved a considerable improvement in model performance for the AKI prediction task over the baseline model which does not include the drug representations as features, indicating that our distinct approach enhances existing baseline techniques and highlights the relevance of drug data in predicting AKI in the ICU setting.