• Journal of Powder Materials
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• v.30 no.4
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• pp.297-304
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• 2023

Iron oxide (Fe₂O₃) nanoclusters exhibit significant potential in the biomedical and pharmaceutical fields due to their strong magnetic properties, stability in solutions, and compatibility with living systems. They excel in magnetic separation processes, displaying high responsiveness to external magnetic fields. In contrast to conventional Fe2O3 nanoparticles that can aggregate in aqueous solutions due to their ferrimagnetic properties, these nanoclusters, composed of multiple nanoparticles, maintain their magnetic traits even when scaled to hundreds of nanometers. In this study, we develop a simple method using solvothermal synthesis to precisely control the size of nanoclusters. By adjusting precursor materials and reducing agents, we successfully control the particle sizes within the range of 90 to 420 nm. Our study not only enhances the understanding of nanocluster creation but also offers ways to improve their properties for applications such as magnetic separation. This is supported by our experimental results highlighting their size-dependent magnetic response in water. This study has the potential to advance both the knowledge and practical utilization of Fe₂O₃ nanoclusters in various applications.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.167-173
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• 2021

The purpose of this study is to discuss the types of algorithms and data categories in AI education for elementary school students. The study surveyed 11 pre-elementary teachers after providing education and practice on various data, artificial intelligence algorithm, and AI education platform for 15 weeks. The categories of data and algorithms considering the elementary school level, and educational tools were presented, and their suitability was analyzed. Through the questionnaire, it was concluded that it is most suitable for the teacher to select and preprocess data in advance according to the purpose of the class, and the classification and prediction algorithms are suitable for elementary AI education. In addition, it was confirmed that Entry is most suitable as an AI educational tool, and materials that explain mathematical knowledge are needed to educate the concept of learning of AI. This study is meaningful in that it specifically presents the categories of algorithms and data with in AI education for elementary school students, and analyzes the need for related mathematics education and appropriate AI educational tools.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.33-43
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• 2022

Labeled graphs are used to represent entities, their relationships, and their structures in real data such as knowledge graphs and protein interactions. With the rapid development of IT and the explosive increase in data, there has been a need for a subgraph matching technology to provide information that the user is interested in. In this paper, we propose an approximate Top-k labeled subgraph matching scheme that considers the semantic similarity of labels and the difference in graph structure. The proposed scheme utilizes a learning model using FastText in order to consider the semantic similarity of a label. In addition, the label similarity graph(LSG) is used for approximate subgraph matching by calculating similarity values between labels in advance. Through the LSG, we can resolve the limitations of the existing schemes that subgraph expansion is possible only if the labels match exactly. It supports structural similarity for a query graph by performing searches up to 2-hop. Based on the similarity value, we provide k subgraph matching results. We conduct various performance evaluations in order to show the superiority of the proposed scheme.

• Journal of Ecology and Environment
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• v.48 no.2
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• pp.120-127
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• 2024

Bats serve as vectors and natural reservoir hosts for various infectious viruses, bacteria, and fungi. These pathogens have also been detected in bat feces and can cause severe illnesses in hosts, other animals, and humans. Because pathogens can easily spread into the environment through bat feces, determining the bacterial communities in bat guano is crucial to mitigate potential disease transmission and outbreaks. This study primarily aimed to examine bacterial communities in the feces of insectivorous bats living in South Korea. Fecal samples were collected after capturing 84 individuals of four different bat species in two regions of South Korea, and the bacterial microbiota was assessed through next generation sequencing of the 16S rRNA gene. The results revealed that, with respect to the relative abundance at the phylum level, Myotis bombinus was dominated by Firmicutes (47.24%) and Proteobacteria (42.66%) whereas Miniopterus fuliginosus (82.78%), Rhinolophus ferrumequinum (63.46%), and Myotis macrodactylus (78.04%) were dominated by Proteobacteria. Alpha diversity analysis showed no difference in abundance between species and a significant difference (p < 0.05) between M. bombinus and M. fuliginosus. Beta-diversity analysis revealed that Clostridium, Asaia, and Enterobacteriaceae_g were clustered as major factors at the genus level using principal component analysis. Additionally, linear discriminant analysis effect size was conducted based on relative expression information to select bacterial markers for each bat species. Clostridium was relatively abundant in M. bombinus, whereas Mycoplasma_g10 was relatively abundant in R. ferrumequinum. Our results provide an overview of bat guano microbiota diversity and the significance of pathogenic taxa for humans and the environment, highlighting a better understanding of preventing emerging diseases. We anticipate that this research will yield bioinformatic data to advance our knowledge of overall microbial genetic diversity and clustering characteristics in insectivorous bat feces in South Korea.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.429-436
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• 2024

As Large Language Models (LLMs) continue to advance, effectively harnessing their potential has become increasingly important. LLMs, trained on vast datasets, are capable of generating text across a wide range of topics, making them useful in applications such as content creation, machine translation, and chatbots. However, they often face challenges in generalization due to gaps in specific or specialized knowledge, and updating these models with the latest information post-training remains a significant hurdle. To address these issues, Retrieval-Augmented Generation (RAG) models have been introduced. These models enhance response generation by retrieving information from continuously updated external databases, thereby reducing the hallucination phenomenon often seen in LLMs while improving efficiency and accuracy. This paper presents the foundational architecture of RAG, reviews recent research trends aimed at enhancing the retrieval capabilities of LLMs through RAG, and discusses evaluation techniques. Additionally, it explores performance optimization and real-world applications of RAG in various industries. Through this analysis, the paper aims to propose future research directions for the continued development of RAG models.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.516-523
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• 2024

This study introduces a comprehensive framework for 4D safety analysis in construction site layout planning (CSLP), using a Site Information Model (SIM) environment to enhance spatial hazard identification and effectively integrate it with activity-based safety management. The framework, grounded in a continuous-space layout approach, accurately positions objects to mirror temporary facilities' actual boundaries, incorporating spatial relationships and inherent safety hazards. It also features rasterization to translate layouts into a grid system. Central to this framework are three modules for spatial hazard identification: Visibility Analysis, Spatial Hazard Mapping, and Travel Path Analysis, designed to identify less visible spaces, assess spatial hazards, and simulate optimal travel paths considering safety aspects. By applying this framework to case studies of a residential complex and a commercial office project, the research demonstrates its practical utility in improving visibility and spatial hazard assessment, despite the inherently complex dynamics of construction sites. The study acknowledges challenges, such as the reliance on safety managers' experiential knowledge for setting hazard parameters and the need for further development in integrating these insights with activity-based safety management. It underscores the framework's significant potential to advance construction safety management by offering a method to preemptively recognize and mitigate spatial hazards. The approach promises not only to contribute to accident prevention but also to enhance overall project performance by incorporating spatial and temporal dimensions of safety into CSLP. This research marks a significant step toward a more holistic and integrated approach to construction safety, highlighting the importance of continuous improvement and adaptation in safety practices.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.957-964
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• 2017

In this study, It developed a program to carry out the training courses for NCS based medical information management tasks and to can understand the practical working knowledge of learners. This program is an educational program that can generate medical information by analyzing data of medical records after generating and storing data of medical records. Because the contents of the medical records vary and there are quantitative differences in the medical records, the contents of the medical records can be summarized and stored in the discharge analysis program for the standard of educational data. The medical terminology DB, medical terminology related DB, medical care related DB by the NCS ability unit element can be constructed and managed using the program. The following are the contents that can be learned through operation of the program. first, it's can understand Medical information DB management regulations through understanding sturucture of database. Second, it can understand the structure and function of the diagnostic code and medical practice code that are input to the discharge analysis program. The diagnostic codes and medical practice codes entered in the discharge analysis program can be searched and analyzed by each fields. Third, It can be advance medical information management ability by inputting and extracting data and generating medical information. In this study, It developed program that Students can be obtained Knowledge of medical information management and improved management competency by generate and analyze medical record data using discharge analysis program.

• Journal of Korean Society of Rural Planning
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• v.19 no.2
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• pp.21-33
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• 2013

In these days, agricultural products are regarded as a core income source in tourism villages. Nevertheless, poor packaging of agricultural products has threatened the competitiveness and quality of products. For farmers, it is less likely to employ individual designer for developing and improving their packages due to low accessability to rural villages and budgets. Based on this background, this study conducted 'Charrette' in order to improve agricultural product packaging. The target village was 'Goraday' in Gangwon province. This study consisted of different steps for building and implementing proper 'Charrette' programs. Then, it also conducted empirical investigation about the effectiveness and efficiency of 'Charrette'. 'Charrette' has made progress as follows; first step was concerned with advance preparation for constructing program. Second, implementation of 'Charratte' included data collection and analysis, and development of design. Third, evaluation and feedback stage have given presentation and discussion about suggested design with local residents. Empirical investigation about the effectiveness and efficiency of 'Charrette' has been composed with survey and interview targeting participants. In survey and interviews, designers were asked about their attitudinal changes in relation to knowledge, recognition, function, motivation, and satisfaction toward 'Charrette' and 'agricultural product package design' before and after participating the event. The results showed that knowledge and perception of designers toward 'agricultural product package design' have positively increased. In addition, it revealed that designers were satisfied with collaborations with others and their contribution to rural community business. However, the results also suggested that sufficient preparation time/schedules and opportunity to meet other and farmers before events would be required to have better communication and understanding in relation to their tasks and role distribution. Furthermore, it is also required for designers to hold relationship with local community in order to actualize their packaging design.

• Korean Journal of Community Nutrition
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• v.12 no.6
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• pp.854-863
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• 2007

This study was performed to compare nutritional supplementation habits for Korean professional soccer players with those for the non-athletic male adults. Information about prevalence and kinds of supplements taken, information sources, nutrition knowledge were collected. Data were obtained from 53 football players working for Korean professional football clubs and 44 non-athletic males, who answered a list of questionnaires which had been prepared in advance. The prevalence of supplement use in the soccer player group (96%) was strikingly higher than in the nonathletic male group (34%). Vitamins were taken most frequently, followed by red ginseng, multivitamin, Chinese medicine and amino acids supplements in the soccer player group, with each player taking 2.96 kinds of supplements in average. Multivitamin was the most popular supplement in the non-athletic male group. The major reason for taking supplements was not to feel and recover from fatigue in both groups. It appeared that the non-athletic males started to use supplements mostly by recommendation of friends or colleagues. Meanwhile, soccer players took supplements on their needs, with half of them (50.1%) provided with nutrition information. The most important information source was coaches for soccer players group, and mass media for the non-athletic male group. The average scores of soccer players group on basic nutrition and athletic nutrition were lower than the respective values of the non-athletic males. Among the soccer players, 68% had taken more than 3 kinds of supplements during the last year; nonetheless, more than half could not perceive the effectiveness of the supplements. Our results show that supplementation practices were widespread in soccer players, and suggest that nutrition education for proper use of supplements and overall health care is needed for soccer players.

• Knowledge Management Research
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• v.19 no.1
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• pp.59-77
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• 2018

The tourism industry is now changing to smart tourism, which maximizes tourists' overall tourism experience with the use of advanced mobile technologies and emphasizes the utilization of tourism information. Despite the quantitative expansion of the tourism industry, there is a lack of academic and practical discussion on tourism safety. Especially, in the context of walking tourism, tourists are more likely to be exposed to natural or social disasters and emergencies. Therefore, it is necessary to build a system that can provide walking tourists with safety information not only on dangerous factors which are anticipated to be confronted during a walking trip in advance but also on specific dangers in real time. Under the circumstances, this study seeks to identify the types of tourism safety information that can be offered by using publicly available open data, drawing on the safety information framework on the walking tourism that is presented in Choi et al. (2017)'s study. More specifically, this study focuses on the use of open data which is provided by the Korean government. Furthermore, this study verifies the types of safety information that are most urgently needed in walking travel situations. Specifically, this study aims to derive the importance and priority of each type of safety information for a walking trip by applying the analytic hierarchy process (AHP) analysis. For this, we collected 35 questionnaires from walking tour operators (practitioners) and walking tourists. The main results are as follows. First, natural disaster information is the most important factor in the top-level factor of safety information for walking tourists, followed by social disaster, life safety, and exhibition (security crisis) information. Second, information on natural disasters, environmental pollution, and weather is considered to be important at the sub-level factor. Lastly, the noteworthy result of this study is that the importance of each type of safety information varies depending on the walking tour operators (practitioners) and the walking tourists. That is, there is a recognition difference between the operator (practitioner) and the user in the importance and priority of the safety information of the walking trip. Therefore, it is necessary to develop policies and services reflecting the opinions of potential users when providing safety information so that the most importantly recognized information can be provided first.