• Journal of Korean Academy of Rural Health Nursing
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• v.16 no.1
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• pp.18-28
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• 2021

Purpose: This study attempted to confirm whether the suicide prevention effect could be achieved by managing the frailty of the elderly in rural areas. Methods: This study is a single-group pre-post study design. The frailty management program was applied twice a week for 12 weeks for the vulnerable elderly in the rural area from 16th April to 31st May in 2020. The program consisted of physical exercise, health education on nutrition management and disease control, cognitive training, and protein drink provision. Results: The average age of the participants was 77.1 years, and they lived alone (88.6%). As a result of providing the program, there were positive results such as increase in body strength (pre 12.27: post 13.27) and weight (pre 58.51: post 59.13), and decrease in depression (pre 4.66: post 1.20), and there was no statistically significant change in quality of life, Time Up & Go, and BMI. Conclusion: Frailty should be managed to prevent suicide in the elderly. It is necessary to expand and apply various programs that combine physical functions and emotional interventions such as health education, and exercise to maintain muscle strength.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.486-503
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• 2023

Logs play an important role in mastering the health of the system, experienced operation and maintenance engineer can judge which part of the system has a problem by checking the logs. In recent years, many system architectures have changed from single application to distributed application, which leads to a very huge number of logs in the system and manually check the logs to find system errors impractically. To solve the above problems, we propose a method based on Message Middleware and ATT-GRU (Attention Gate Recurrent Unit) to detect the logs anomaly of distributed systems. The works of this paper mainly include two aspects: (1) We design a high-performance distributed logs collection architecture to complete the logs collection of the distributed system. (2)We improve the existing GRU by introducing the attention mechanism to weight the key parts of the logs sequence, which can improve the training efficiency and recognition accuracy of the model to a certain extent. The results of experiments show that our method has better superiority and reliability.

• Geomechanics and Engineering
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• v.34 no.1
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• pp.43-49
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• 2023

Knowledge of minimum horizontal stress (S_hmin) is a significant step in determining full stress tensor. It provides crucial information for the production of sand, hydraulic fracturing, determination of safe mud weight window, reservoir production behavior, and wellbore stability. Calculating the S_hmin using indirect methods has been proved to be awkward because a lot of data are required in all of these models. Also, direct techniques such as hydraulic fracturing are costly and time-consuming. To figure these problems out, this work aims to apply the long-short-term memory (LSTM) algorithm to S_hmin time-series prediction. 13956 datasets obtained from an oil well logging operation were applied in the models. 80% of the data were used for training, and 20% of the data were used for testing. In order to achieve the maximum accuracy of the LSTM model, its hyper-parameters were optimized significantly. Through different statistical indices, the LSTM model's performance was compared with with other machine learning methods. Finally, the optimized LSTM model was recommended for S_hmin prediction in the well logging operation.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.300-305
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• 2023

Audience reactions in response to remote virtual performances must be compressed before being transmitted to the server. The server, which aggregates these data for group insights, requires a distribution code for the transfer. Recently, distributed learning algorithms such as federated learning have gained attention as alternatives that satisfy both the information security and efficiency requirements. In distributed learning, no individual user has access to complete information, and the objective is to achieve a learning effect similar to that achieved with the entire information. It is therefore important to distribute interdependent information among users and subsequently aggregate this information following training. In this paper, we present a new extension technique for minimal code that allows a new minimal code with a different length and Hamming weight to be generated through the product of any vector and a given minimal code. Thus, the proposed technique can generate minimal codes with previously unknown parameters. We also present a scenario wherein these combined methods can be applied.

• Advances in nano research
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• v.16 no.4
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• pp.365-374
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• 2024

This study delves into the significant impact of integrating nanomaterials, specifically carbon and graphene nanoparticles, into the polymer matrix of aluminum alloy 356, utilizing the vortex casting technique, with the aim of improving the mechanical properties of table tennis equipment. Athletes and their coaching teams have long been on a quest for high-performance sports gear, recognizing its pivotal role in unlocking the full potential of players. The dedication of engineers to craft designs, select materials with precision, and uphold stringent testing standards reflects the commitment to meeting the demands of the sporting world. Yet, to remain at the forefront, sports engineering must continually align with contemporary technologies, and nanotechnology has emerged as a transformative force in this regard. This study not only underscores the meticulous efforts in material integration but also highlights the remarkable strides made possible by nanotechnology. Aluminum nanocomposites, particularly, showcase a groundbreaking fusion of exceptional strength and reduced weight, marking a notable achievement in sports equipment innovation. The research outcomes are compelling, revealing a substantial enhancement in the mechanical performance of the sports structures under scrutiny. This promising development hints at a potential paradigm shift in the manufacturing of sports equipment, promising a new era of elevated athlete performance and enhanced safety during the rigors of physical education training. This study stands as a testament to the tangible impact of nanotechnology on the ever-evolving landscape of sports equipment.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.197-204
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• 2015

This study aims to identify the effects: quality of chest compressions, height and weight of pregnant women cardiac arrest while lying $30^{\circ}$ inclined to the left has on the quality of chest compressions administered by 119 EMT. For the purpose of this study, 62 members of 119 EMTs in M, N, S, Y cities and G cities of J province agreed to join in the test and the test was conducted from June 15 to 16 in 2015. Two mannequins (Resusci Anne$^{(R)}$) were used for the study and the chest compression process was recorded with the use of the Laerdal PC Skill Reporting System$^{(R)}$. As a result, it was discovered that for patients with a $30^{\circ}$ left inclination, who were below 170 cm in height and 65 kg in weight, the proper frequency and depth of compression were unsatisfactory. With this in mind, training programs and instruments that can improve the quality of chest compressions depending on a person's (patient's) height and weight should be developed.

• Korean Journal of Community Nutrition
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• v.21 no.1
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• pp.102-111
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• 2016

Objectives: The intention of this study was to find out the impact of mother's body mass index, eating habits, nutrition status and sociodemographic factors on the body mass index of the children. Methods: The study used original data of Korea National Health and Nutrition Examination Survey (2010-2011) and had 957 children in the ages of 1-5 years and 957 mothers of these children, a total 1,914 as subjects. The weights (body mass indexes) of the children, subjects under 5th percentile were classified into a underweight group, 5~84th percentile into a normal weight group, 85-94th percentile into an overweight group and more than 95th percentile into an obesity group based on the 2007 Korean children and adolescents growth chart. Results: We observed that when the body mass index of a mother increased by 1, the possibility that her child would belong to the overweight group increased by 6.5% (95% confidence interval: 1.01~1.13), and the possibility that the child would belong to the obesity group increased by 95% (confidence interval: 1.01~1.18). With regard to the number of deficient nutrients which were ingested according to estimated average requirements (EAR) amid nutrients ingested by the mother increased by 1, the possibility that the child would belong to the obesity group increased by 16.6% (95% confidence interval: 1.01~1.35). In case the birth weight of child increased by 1kg, the odds ratio that the child would belong to the obesity group was 2.022 (95% confidence interval: 1.08~3.77). Conclusions: We conclude that the body mass index, eating habits and nutrition status of the mother had significant effects on the body mass index of the child. Therefore, it is critical to recognize the importance of this observation and provide practical training for eating habits and nutrient intakes in order to achieve healthy growth and prevention of obesity among children.

• Journal of Nutrition and Health
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• v.48 no.2
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• pp.149-156
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• 2015

Purpose: This study examined the effects of combined intervention of isoflavones and exercise on bone mineral density, bone mineral content, and biochemical bone markers. Methods: Forty rats were divided into four groups; Control, Isoflavones (IF), Isoflavones + Running (IFR), and Isoflavones + Swimming (IFS). All of the rats in this study were fed an experimental diet and deionized water ad libitum for nine weeks. Bone mineral density (BMD) and bone mineral content (BMC) were estimated using PIXImus (GE Lunar Co, Wisconsin.) in spine and femur nine weeks after feeding or training. Results: The combined intervention did not affect weight gain, mean food intake, or food efficiency ratio. The serum concentrations of ALP and osteocalcin were not significantly different by combined intervention. The urinary DPD crosslinks values were not significantly different by combined intervention. There were no significant differences in serum PTH, calcitonin, and estradiol among all groups. Spine BMD, spine BMC and femur BMC were not significantly different by combined intervention. However, femur BMD was significantly higher in the IFR group than in the control group. Compared with the control group, spine BMD, spine BMC, and femur BMD per weight were markedly increased in the isoflavones supplementation and combined intervention group. In addition, femur BMC per weight was significantly higher in the IFS group than in the control group. Compared with the isoflavones supplemented group, BMD and BMC were not significantly different by combined intervention. Conclusion: It can be concluded that isoflavones supplementation or combined intervention of isoflavone and exercise had a beneficial effect on spine and femur peak bone mass in growing female rats.

• Food Science and Preservation
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• v.24 no.5
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• pp.666-672
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• 2017

The purpose of this study was to examine the effects of long-term endurance exercise and salvia miltiorrhiza vinegar on body composition and insulin resistance of high-fat diet (30% carbohydrate, 50% fat and 20% protein) induced obese rats. After 8 weeks of high fat diet (50% of total calories), rats were divided into 4 groups (sedentary group, n=10; exercise group, n=10; Salvia miltiorrhiza vinegar group, n=10; exercise+Salvia miltiorrhiza vinegar group, n=10) for 8 weeks. Body weight, body composition, diet intake volume, oral glucose tolerance test, plasma total cholesterol were measured. The results showed that Salvia miltiorrhiza vinegar plus endurance exercise training for 8 weeks significantly improved body weight control, visceral fat weight, and insulin resistance. However, only Salvia miltiorrhiza vinegar treatment did not significantly improve body composition and insulin resistance. In addition, there was no additive by the combination of Salvia miltiorrhiza vinegar and endurance exercise in insulin, body fat, and total cholesterol. The reduction of body fat, glucose, insulin and cholesterol by combination was resulted from the exercise. These results suggest that Salvia miltiorrhiza vinegar has slight effect on anti-hyperglycemia and anti-obesity.