• Computers and Concrete
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• v.33 no.2
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• pp.175-193
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• 2024

Researchers have embarked on an active investigation into the feasibility of adopting alternative materials as a solution to the mounting environmental and economic challenges associated with traditional concrete-based construction materials, such as reinforced concrete. The examination of concrete's mechanical properties using laboratory methods is a complex, time-consuming, and costly endeavor. Consequently, the need for models that can overcome these drawbacks is urgent. Fortunately, the ever-increasing availability of data has paved the way for the utilization of machine learning methods, which can provide powerful, efficient, and cost-effective models. This study aims to explore the potential of twelve machine learning algorithms in predicting the tensile strength of geopolymer concrete (GPC) under various curing conditions. To fulfill this objective, 221 datasets, comprising tensile strength test results of GPC with diverse mix ratios and curing conditions, were employed. Additionally, a number of unseen datasets were used to assess the overall performance of the machine learning models. Through a comprehensive analysis of statistical indices and a comparison of the models' behavior with laboratory tests, it was determined that nearly all the models exhibited satisfactory potential in estimating the tensile strength of GPC. Nevertheless, the artificial neural networks and support vector regression models demonstrated the highest robustness. Both the laboratory tests and machine learning outcomes revealed that GPC composed of 30% fly ash and 70% ground granulated blast slag, mixed with 14 mol of NaOH, and cured in an oven at 300°F for 28 days exhibited superior tensile strength.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.97-115
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• 2023

Ecosystem services (ES) are the benefits that people obtain from ecosystems. Traditional ES assessment methods have focused on the supply of ES, using biophysical data. However, these methods often fail to capture the full value of ES, which is also determined by social and cultural factors. This study proposes a new approach to ES assessment that incorporates socio-cultural perspectives. The study was conducted in Seoul, South Korea. A survey was conducted of 1,805 residents of Seoul to assess their satisfaction with ecosystem services. Exploratory factor analysis was used to identify bundles of ES that were perceived as important by residents. A revised importance-satisfaction analysis was used to calculate the urgency level of each bundle. The results of the study showed that the 21 ES that were considered in the survey could be grouped into three bundles: urban green area-based, biodiversity-based, and resilience-based. The urgency level analysis showed that some bundles were more important than others, and that some bundles were more urgent than others. The findings of this study have several implications. First, they suggest that a socio-cultural approach to ES assessment can provide a more comprehensive and accurate assessment of ES. Second, they show that this approach can be used to identify areas where ES management is most needed. Third, they suggest that this approach could be used to inform ES management and policy decisions.

• Fashion & Textile Research Journal
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• v.26 no.1
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• pp.99-109
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• 2024

This study aimed to assess the satisfaction levels of adolescents with beauty programs, investigate the factors influencing them, and present foundational insights for designing cosmetics and beauty education initiatives tailored to adolescents. Specifically focusing on the "Safety and Use Education for Youth Cosmetics" program implemented in Gwangju Metropolitan City, it examined the satisfaction of participants, including students, instructors, and school teachers involved in the education. The study was based on action research, a qualitative methodology. The conclusions are as follows: First, participants gained knowledge and information encompassing various aspects of cosmetics, such as types, expiration dates and usage span, face wash and skin types, shampooing methods, scalp care, role and significance of sunscreen, skin trouble management, and identification of skin type, through cosmetic education programs. Second, participants learned about techniques such as eyebrow trimming, eyebrow shape correction, facial contour correction, skin blush supplementation, color makeup, personal color, and tattooing. Third, there is an urgent need to develop different educational teaching resources suitable for implementation across elementary, middle, and high schools. Fourth, it is necessary to cultivate higher-quality instructors in this digital age. Fifth, it is crucial to explore new methods of delivering beauty education to adolescents. We hope the insights gleaned from this study will serve as useful foundational data, albeit modest, fostering new beauty trends amidst the challenging landscape of youth education.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.371-385
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• 2023

Purpose - The purpose of this study is to analyze Korea's trade relations centered on the MERCOSUR, a major economic integration in Latin America, and identify its problems and suggest measures that can be taken by the government and corporations to reinforce economic cooperation. Design/methodology/approach - To improve the level of contribution of the study, an empirical analysis is necessary. However, due to limited data access, the study will approach the topic of trade relations between Korea and the MERCOSUR with various statistics and literature. Findings - First, there is an urgent need for changes in import-export goods between Korea and the MERCOSUR, as trade is focused on specific items. Second, although foreign direct investment from Korea to the MERCOSUR is centered in manufacturing and mining industries, there should be different investment strategies by countries and industries. Third, it is necessary to reinforce commercial cooperation. Korea currently has Free Trade Agreements with Chile, Peru, and Columbia, but not with MERCOSUR. Therefore, Korea must take active measures to sign an TA with MERCOSUR, which has been put on hold. Research implications or Originality - Latin America has the most thriving market when it comes to Free Trade Agreements worldwide. MERCOSUR is a South American Trade Bloc established by the Treaty of Asunción in 1991 and Protocol of Ouro Preto in 1994. Its full members are Brazil, Argentina, Uruguay and Paraguay. However, there is still a lack of research on the MERCOSUR, and corporations that aim to enter the Latin American market face difficulties due to lack of information. By investigating MERCOSUR and its prospects and analyzing the trade relations with Korea, this study will provide strategic measures for corporations that wish to enter the Latin American market.

• Animal Bioscience
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• v.37 no.5
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• pp.832-838
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• 2024

Objective: The use of molecular genetic methods in pig breeding can significantly increase the efficiency of breeding and breeding work. We applied the F_st (fixsacion index) method, the main focus of the work was on the search for common options related to the number of born piglets and the weight of born piglets, since today the urgent task is to prevent a decrease in the weight of piglets at birth while maintaining high fertility of sows. Methods: One approach is to scan the genome, followed by an assessment of Fst and identification of selectively selected regions. We chose Large White sows (n = 237) with the same conditions of keeping and feeding. The data were collected from the sows across three farrowing. For genotyping, we used GeneSeek GGP Porcine HD Genomic Profiler v1, which included 68,516 single nucleotide polymorphisms evenly distributed with an average spacing of 25 kb (Illumina Inc, San Diego, CA, USA). Results: Based on the results of the Fst analysis, 724 variants representing selection signals for the signs BALWT, BALWT1, NBA, and TNB (weight of piglets born alive, average weight of the 1st piglets born alive, total number born alive, total number born). At the same time, 18 common variants have been identified that are potential markers for both the number of piglets at birth and the weight of piglets at birth, which is extremely important for breeding work to improve reproductive characteristics in sows. Conclusion: Our work resulted in identification of variants associated with the reproductive characteristics of pigs. Moreover, we identified, variants which are potential markers for both the number of piglets at birth and the weight of piglets at birth, which is extremely important for breeding work to improve reproductive performance in sows.

• Clinics in Shoulder and Elbow
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• v.27 no.1
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• pp.3-10
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• 2024

Background: Gunshot-related fractures near the elbow are challenging, and available data to guide the practitioner are lacking. This report analyzes injury patterns and treatment strategies in a case series from a high-volume urban trauma center. Methods: All periarticular gunshot fractures near the elbow treated at a level 1 trauma center from 2014 to 2018 were retrospectively reviewed. Fracture location, patient demographics, concomitant injuries, treatment modalities, and complications were analyzed. Results: Twenty-four patients were identified. All patients received prophylactic antibiotics upon admission and underwent urgent surgical debridement. Open reduction and internal fixation (ORIF) was performed with initial debridement in 22 of 24 patients. Seven patients sustained distal humerus fractures, 10 patients sustained isolated proximal ulna or proximal radius fractures, and seven had combined fracture patterns. Eleven patients presented with nerve palsy, and two had transected nerves. Two patients had vascular injury requiring repair. One patient required a temporary elbow-spanning external fixator and underwent staged debridement followed by ORIF. One patient with a grade IIIC fracture developed a deep infection that precluded ORIF. One patient required revision ORIF due to fracture displacement. Conclusions: This investigation reports on management of ballistic fractures near the elbow at a busy urban level I trauma center. Our management centered on rapid debridement, early definitive fixation, and intravenous antibiotic administration. We report on associated neurovascular injury, bone loss, and other challenges in this patient population. Level of evidence: IV.

• Fisheries and Aquatic Sciences
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• v.27 no.1
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• pp.7-16
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• 2024

Fishing is considered one of the most dangerous industries alongside mining that needs further efforts to improve safety. In this study, we have investigated safety management of the gillnet fishing industry in South Korea through identifying safety level and classifying common accident types from the statements of accident com-pensation insurance payments for the last 5 years (2016-2020). There were in total 3,895 accidents and 159 fatalities with an average accident frequency of 5.34 × 10^-2 per year per fisher and an average fatality of 2.18 × 10^-3 fishers per year. We have also identified that 62.4% of the accidents occurred during Fishing (FS), and the most common and the most severe accident type is Slips and Trips (ST) and Other (OT) marine accidents such as collision and capsizing, respectively. The hand was most frequently injured. Finally, the risk assessment indicated that most of the accident types of gillnet fishing in South Korea have unacceptable levels of risks, and it is urgent to implement improved safety measures to reduce accidents during gillnet fishing operation. The findings of this study are expected to provide valuable data to create a safer working environment for fishers working on gillnet fishing vessels.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.133-144
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• 2020

The number of elderly people with dementia is increasing as fast as the proportion of older people due to aging, which creates a social and economic burden. In particular, dementia care costs, including indirect costs such as increased care costs due to lost caregiver hours and caregivers, have grown exponentially over the years. In order to reduce these costs, it is urgent to introduce a management system to care for dementia patients. Therefore, this study proposes a sensor-based abnormal behavior detection system to manage dementia patients who live alone or in an environment where they cannot always take care of dementia patients. Existing studies were merely evaluating behavior or evaluating normal behavior, and there were studies that perceived behavior by processing images, not data from sensors. In this study, we recognized the limitation of real data collection and used both the auto-encoder, the unsupervised learning model, and the LSTM, the supervised learning model. Autoencoder, an unsupervised learning model, trained normal behavioral data to learn patterns for normal behavior, and LSTM further refined classification by learning behaviors that could be perceived by sensors. The test results show that each model has about 96% and 98% accuracy and is designed to pass the LSTM model when the autoencoder outlier has more than 3%. The system is expected to effectively manage the elderly and dementia patients who live alone and reduce the cost of caring.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.5
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• pp.442-454
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• 2017

As the demand for meat products has steadily increased in Korea, so the livestock industry has full grown. However, the opening of import meat products is taking a toll on the local industry. Cost reduction on livestock feed, which comprises the majority of costs involved in the industry is urgent to gain a competitive edge. As Internet of Things (IoT) technologies are being applied across a multiple of industries, so are the cases of applied Smart Farm technology for efficient production. The following research aims to utilize IoT technologies to measure, in real time, the rate of depletion of feed and remaining amount and to propose an effective automated reorder & delivery system. First, a method of utilization of ultrasonic and temperature/humidity sensors to obtain corresponding data of remaining feed in the Feedbin is proposed. In addition, a method of sending the obtained data via on-the-farm gateway to Supply Chain Management (SCM) servers is proposed. Finally, utilization of the stored data to construct an automated reorder & delivery service system is proposed. It is in the researcher's intention to contribute to and enable the local livestock industry with the application of various IoT services.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.31-43
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• 2018

Purpose - With the technology of the 4th industrial revolution, business models of agricultural sector are changing rapidly toward convergence and high value-added business models due to the 6th industrialization of agricultural. Our goals is to examine the 6th industrialization of agriculture, and then to apply the technology of the 4th industrial revolution to the 6th industrialization of agriculture, suggesting the possibility of future agriculture, and then linking the export competitiveness of agricultural products. Research design, data, and methodology - As the methodology, case studies and empirical analyzes were conducted as well as literature studies. The case analyses included tomatoes, pig breeding farms, and an empirical analysis was conducted using the AHP analysis by experts of the 6th industrialization. In addition, using 124 survey data, this study examined and analyzed the items of the 4th industrial revolution technology for the 6th industrialization of agriculture and the strengthening of export competitiveness. Results - Results showed that the technology of the 4th Industrial Revolution helped "6th industrialization of agriculture" and "the strengthening of export competitiveness" using two successful cases. The AHP analysis was also carried out, and it was found that the improvement of the technology in the 4th industrial revolution could contribute to the future industrialization as well as the 6th industrialization of agriculture. First of all, we looked many conditions were important and urgent. Among the technologies of the 4th industrial revolution, the mobile, big data were important. Moreover, it was recognized that linkage and convergence related efforts would greatly contribute to strengthening export competitiveness of agriculture such as price and quality competitiveness. Conclusions - The 4th industrial revolution such as hyper-connectivity, hyper-intelligence and hyper-predictability contribute greatly to the 6th industrialization of agriculture, and therefore it is essential to improve the competitiveness of the agricultural sector by using the technology of the 4th industrial revolution. In particular, based on analyses of the diamond model, the "demand conditions" was the most important factor for the activation of the 6th Industrialization, and then "related and supporting fields", "factor conditions" and "business context" were followed in order. The results of this study can be useful for policy, practical and academic sectors.