PURPOSES : To prevent an increasing number of drowsiness-related accidents, considering driver fatigue is necessary, which is the main cause of drowsiness accidents. The purpose of this study is to propose a methodology for selecting drowsiness hotspots using continuous driving time, a variable that quantifies driver fatigue. METHODS : An analysis was conducted by dividing driver fatigue, which changes according to time and space, into temporal and spatiotemporal scenarios. The analysis technique derived four evaluation indicators (precision, recall, accuracy, and F1 score) using a random forest classification model that is effective for processing large amounts of data. RESULTS : Both the temporal and spatiotemporal scenarios performed better in models that reflected the characteristics of road sections with changes in time and space. Comparing the two scenarios, it was found that the spatiotemporal scenario showed a difference in precision of approximately 10% compared with the temporal scenarios. In addition, [Model 2-2] of the spatiotemporal scenario showed the best predictive power by assessing the model’s accuracy via a comparison of (1-recall) and precision. This shows better performance in predicting drowsy accidents by considering changes in time and space together rather than constructing only temporal changes. CONCLUSIONS : To classify hotspots of drowsiness, spatiotemporal factors must be considered. However, it is possible to develop a methodology with better performance if data on individuals driving vehicles can be collected.

목적 : 본 연구의 목적은 Coronavirys Disease(COVID-19) 팬데믹을 거친 고령자의 사회적 건강의 수준의 변화궤적에 대한 잠재계층을 분류하고 잠재 계층별 특성을 분석함에 있다. 또한 이러한 사회적 건강에 영향을 미치는 예측요인을 파악하여 고령자의 사회적 건강을 증진을 위한 기초자료를 마련하고자 한다. 연구방법 : 국내 고령자의 사회적 친밀도에 따른 사회적 건강 유형을 파악하기 위해서 한국복지패널의 3 년차 종단자료를 토대로 분석하였으며, 연구대상자는 세 시점 모두를 응답한 2845명의 고령자를 대상으 로 하였다. 대상자중심접근인 성장혼합모형(Growth Mixture Model; GMM)을 적용하여 변화궤적에 따 른 잠재계층을 분석 하였고, 도출된 각 잠재유형별 특성을 파악하기 위해 χ2 분석, 분산분석을 실시하 였으며, 계층 간 차이를 유발하는 요인을 파악하기 위해 다항로지스틱 회귀분석을 실시하였다. 결과 : GMM 적용결과, 사회적 건강의 변화궤적에 대한 잠재계층은 최종 4개의 집단으로 저수준 감소-증 가 집단, 중수준 유지-증가 집단, 고수준-감소 집단, 고수준 유지’집단으로 분류되었다. 또한 사회적 건강 수준에 따라 여가만족도에서 차이가 나타나는 것으로 드러났으며, 그 외에도 연령 차이가 존재하였 다. 잠재계층분류에 영향을 미치는 영향변인을 검증한 결과, 특히 여성일수록, 종교를 가지고 있을수록, 여가만족도와 전반적 만족도가 모두 높을수록 고수준 유지 집단에 속할 확률이 높은 것으로 나타났다. 결론 : 국내 고령자의 사회적 건강은 시간이 지남에 따라 감소하는 궤적을 보이는 것으로 나타났다. 변화 궤적에 따라 4개의 집단으로 구분 지을 수 있으며, 각 잠재 유형별 연령과 여가 만족도 부분에서 집단별 차이가 드러났다.

The ‘Japanese Useful Fisheries Classification Table’, published in advance before the publication of the “Useful Fisheries of Japan”, is the first data to classify and introduce fisheries animals and plants in a single table. Therefore, it had received public attention immediately. However, The academy of animal studies at that time quickly pointed out that this classification table was a mixture of traditional and modern classifications, and that there were too many errors. However, Yoshio Tanaka, who was in charge of revising Yamamoto Arikatana, that wrote the classification table, was not an adherent of traditional taxonomy, nor was he ignorant of modern taxonomy. Nevertheless, the classification table, which was quite different from the well-known zoological classification at that time, was prepared. For example, the top classifications of marine organism are not at the same level, but rather a mixture of phylum and class, while the water insect contains several phylums, including Arthropoda, Echinodermata, Mollusca, and Coelenterata. As such, the method of classification of animals in the classification table was hard to understand in the zoological academy at that time. The reason for this unusual taxonomy was that the classification table showed classification of useful fisheries products, not intended to convey academic classification. In other words, it is not for the purpose of academic classification of all fishery products, but for the purpose of presenting standards that can be easily understood by those engaged in the collection, manufacture, and aquaculture of fishery products. This principle of ‘Useful Fisheries of Japan’ is also ascertained in the “Fishing Methods of Japan” and “Fishery Products of Japan”. Regarding the collection and processing of marine products, it could have shown how to catch whales, which are mammals, and how to dismantle whales and obtain oil and meat, according to academic classifications. However, the first appearances in the book include dried squid, abalone, shark fins, and sea cucumbers. In other words, the most important fishery products at that time are presented first. The contents of the classification table, which is considered somewhat bizarre, show where the purpose to compile Useful Fisheries of Japan.

Degenerative arthritis is a common joint disease that affects many elderly people and is typically diagnosed through radiography. However, the need for remote diagnosis is increasing because knee pain and walking disorders caused by degenerative arthritis make face-to-face treatment difficult. This study collects three-dimensional joint coordinates in real time using Azure Kinect DK and calculates 6 gait features through visualization and one-way ANOVA verification. The random forest classifier, trained with these characteristics, classified degenerative arthritis with an accuracy of 97.52%, and the model's basis for classification was identified through classification algorithm by features. Overall, this study not only compensated for the shortcomings of existing diagnostic methods, but also constructed a high-accuracy prediction model using statistically verified gait features and provided detailed prediction results.

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

Hymenobacter 속(genus)은 Bacteroidota 문(phylum), Hymenobacteraceae 과(family)의 대 표 속(type genus)이다. 이 속에 속하는 세균들은 붉은색 색소를 함유하는 그람 음성 간균으로서, 자연 계의 다양한 환경에서 분리되고 있다. 본 연구에서 붉은색 색소를 함유하는 그람 음성 간균이 경남 창 원시 소재 창원대학교 교내의 연못에서 분리되었고, 이 세균은 균주 B2로 명명되었다. 균주 B2를 계통 분석 및 생화학적으로 분석한 결과, Hymenobacter 속에 속하는 것으로 밝혀졌다. 이 세균의 16S rRNA 유전자 염기서열을 genbank의 BLAST로 분석해 본 결과, 다른 어떠한 세균과도 16S rRNA 유전 자 염기서열의 상동성이 새로운 미생물로 인정되는 기준인 98.7%보다 낮은 것으로 나타났다. 균주 B2 의 지방산을 분석해 본 결과, 주된 지방산은 summed feature 3(C16:1 ω7c and/or C16:1 ω6c, 22.8%), iso-C15:0(16.2%), anteiso-C15:0(12.9%), C16:1ω5c(12.4%) 및 summed feature 4 (iso-C17:1 I/anteiso-C17:1)(9.5%)인 것으로 밝혀졌는데, 결과적으로 균주 B2의 지방산 함량은 다른 Hymenobacter 종들의 지방산 함량과 뚜렷한 차이가 있는 것을 알 수 있었다. 이 세균의 16S rRNA 유전자 염기서열 은 genbank에 accession number OQ318247로 등록되었다.

Antimicrobials in human medicine are classified by The World Health Organization (WHO) into three groups: critically important antimicrobials (CIA), highly important antimicrobials (HIA), and important antimicrobials (IA). CIA are antibiotic classes that satisfy two main criteria: that they are the sole or the only available limited therapeutic option to effectively treat severe bacterial infections in humans (Criterion 1), and infections where bacteria are transmitted to humans from non-human sources or have the potential to acquire resistance genes from non-human sources (Criterion 2). WHO emphasizes the need for cautious and responsible use of the CIA to mitigate risk and safeguard human health. Specific antimicrobials within the CIA with a high priority for management are reclassified as “highest priority critically important antimicrobials (HP-CIA)” and include the 3rd generation of cephalosporins and the next generation of macrolides, quinolones, glycopeptides, and polymyxins. The CIA list is the scientific basis for risk assessment and risk management policies that warrant using antimicrobials to reduce antimicrobial resistance in several countries. In addition, the CIA list ensures food safety in the food industry, including for the popular food chain companies McDonald's and KFC. The continuous update of the CIA list reflects the advancement in research and emerging future challenges. Thus, active and deliberate evaluation of antimicrobial resistance and the construction of a list that reflects the specific circumstances of a country are essential to safeguarding food security.

인간 활동으로 광범위한 자연 생태계 변화로 지난 몇 세기 동안 전 세계적으로 생물다양성이 심각하게 위협받고 있다. 생태계의 변화 양상을 파악하는 것은 생물다양성 위협을 파악하고 관리하는 데 필수적이다. 이러한 필요성에 따라 IUCN 의회는 2019년에 생태계의 기능과 유형을 고려한 IUCN Global Ecosystem Typology(GET)를 구성했다. IUCN은 10개의 생태계 군계, 108개의 생태기능별 토지 유형(EFG; Ecological Functional Group)을 전 지구적 범위에서 지도로 제공하고 있다. IUCN GET 생태계의 유형 분류에 따르면 국내 생태계는 Realm (1수준)이 8개, Biome (2수준)이 18개, Group (3수준)은 41개 유형으로 분류된다. IUCN이 제공하는 GET의 경우 전 세계 규모로 제작되었기 때문에 해상도가 낮고 실질적인 토지 현황과 일치하지 않는 경우가 많다. 본 연구는 토지피복지도를 활용하여 국내 IUCN GET 유형 분류의 정확도를 높이고 실질적인 현황 을 반영한 지도를 제작하고자 했다. 이를 위해 ① IUCN GET에서 제공하는 국내 GET 데이터 체계를 검토하고, ② 이를 국내 현황과 비교 분석하였다. 이 과정을 통해 GET의 한계와 활용 가능성을 평가하고 ③ 이후 국가자료를 최대 한 활용하여 국내 현황을 반영한 국내 GET 유형 분류를 수행하였다. 본 연구는 토지피복지도와 기존 국가자료를 최대한 활용하여 국내 GET를 총 25개 유형으로 분류했다(Terrestrial Realm :9, Freshwater: 9 Marine-Terrestrial:5, Terrestrial-Freshwater :1, Marine-Freshwater-Terrestrial:1). 기존 지도와 비교했을 때 수정된 국내 GET의 경우 ‘F3.2 Constructed lacustrine wetlands’, ‘F3.3 Rice paddies’, ‘F3.4 Freshwater aquafarms’, ‘T7.3 Plantations’가 면 적이 가장 많이 축소되었다. 온대 산림(T2.2)의 면적이 가장 많이 늘어났고, ‘MFT1.3 Coastal saltmarshes and reedbeds’, ‘F2.2 Small permanent freshwater lakes’등 3개 유형 또한 수정 후 GET 면적이 증가했다. 해당 과정을 통해 기존 GET에서 모든 EFG의 합이 국토 면적의 8.33배를 차지하던 기존의 지도를, 토지피복지도를 활용하여 총합 이 국토 면적의 1.22 배가 되도록 수정하였다. 이를 통해 유형별 차이가 작고 정확성이 떨어진 기존의 EFG가 본 연구를 통해 개선 및 수정되었음을 확인하였다. 본 연구는 현장 요건을 반영한 데이터를 최대한 활용하여 GET 기준 에 상응하는 한국의 GET 지도를 제작한 것에 그 의의가 있다.

하천시설물은 정보의 관리주체가 국가하천과 지방하천 등에 따라 달라서 통합되어 관리되지 못하고 있는 점, 설계 및 시공 단계의 정보화 축적이 미흡하여 시설물 정보의 망실이 우려되는 점 등 하천분야로 BIM 도입을 하기 위해서는 해결해야 할 과제들이 산재해 있다. 또한, 이로 인해 유지운영단계에서의 시설물 정보 활용 수준 역시 상당히 미흡한 편이다. 따라서, 하천시설물의 효과적인 유지 운영을 위해서는 표준분류체계에 따라 시설물 정보를 정리함으로 데이터의 일관성을 확보하고 효율성을 증대시킬 필요가 있다. 본 연구에서는 이러한 하천분야의 시설물 특성을 고려하여 하천분야의 BIM 정보모델 도입과 3차원 기반의 하천시설의 효율적인 유지 운영 전환을 위한 BIM 표준분류체계를 적용하는 방안을 제시한다.

The Hangang River* is necessary to manage the water environment of severe pollution due to the high density of residential areas, parks, and agriculture and the large population concentrated there. Benthic macroinvertebrates, such as chironomids larvae, are bioindicator species that reflect environmental changes and are crucial for water quality monitoring. In this study, we investigated morphological characteristics and molecular analysis of the chironomids larvae inhabiting the Hangang River area for water environment surveys. For this research, 20 rivers, lakes, and urban area in the Hangang River basin were selected. Chironomids larvae were collected from July to September 2022, and their appearance and characteristics were identified through morphological identification. In addition, phylogenetic analysis was performed based on the mtCOI gene sequences of the collected chironomids larvae, and identification at the genus level was confirmed. As a result, 32 species and 18 genera of 3 subfamilies of Chironomidae larvae were identified, and Stictochironomus sp. dominated most sites (6 sites). The morphological characteristics of the identified chironomids larvae, such as the mentum, ventromental plate, and antenna, were organized into table and pictorial keys, and a Bayesian inference molecular phylogeny was presented. These results provide basic morphological information for genus-level identification and can be used as fundamental information for water quality management. *The public nomenclature following by NGII 2015

This research proposes a novel approach to tackle the challenge of categorizing unstructured customer complaints in the automotive industry. The goal is to identify potential vehicle defects based on the findings of our algorithm, which can assist automakers in mitigating significant losses and reputational damage caused by mass claims. To achieve this goal, our model uses the Word2Vec method to analyze large volumes of unstructured customer complaint data from the National Highway Traffic Safety Administration (NHTSA). By developing a score dictionary for eight pre-selected criteria, our algorithm can efficiently categorize complaints and detect potential vehicle defects. By calculating the score of each complaint, our algorithm can identify patterns and correlations that can indicate potential defects in the vehicle. One of the key benefits of this approach is its ability to handle a large volume of unstructured data, which can be challenging for traditional methods. By using machine learning techniques, we can extract meaningful insights from customer complaints, which can help automakers prioritize and address potential defects before they become widespread issues. In conclusion, this research provides a promising approach to categorize unstructured customer complaints in the automotive industry and identify potential vehicle defects. By leveraging the power of machine learning, we can help automakers improve the quality of their products and enhance customer satisfaction. Further studies can build upon this approach to explore other potential applications and expand its scope to other industries.