• The Journal of the Acoustical Society of Korea
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• v.37 no.6
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• pp.469-474
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• 2018

As urban population increases, research on urban environmental noise is getting more attention. In this study, we classify the abnormal noise occurring in traffic situation by using a deep learning algorithm which shows high performance in recent environmental noise classification studies. Specifically, we classify the four classes of tire skidding sounds, car crash sounds, car horn sounds, and normal sounds using convolutional neural networks. In addition, we add three environmental noises, including rain, wind and crowd noises, to our training data so that the classification model is more robust in real traffic situation with environmental noises. Experimental results show that the proposed traffic sound classification model achieves better performance than the existing algorithms, particularly under harsh conditions with environmental noises.

• Cross-Cultural Studies
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• v.49
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• pp.127-150
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• 2017

The objective of this study is to classify the conversations in Chinese textbooks into four social units (speech community, speech situation, speech event, speech act) adopted by Dell Hymes (1972), and suggest application of the results involving the conversation to the curriculum of Chinese education. Towards this end, this study assumes every conversation in the Chinese textbooks as coordination of specific speech events and acts under specific situations. This study introduces the concept of social unit adopted by Dell Hymes (1972), and elucidates their role in conversation. Thus, this study reconsiders the conversations recorded in the textbooks not from a morphological or syntactic viewpoint but from a speech perspective. Finally, this study suggests effective use of the results in the Chinese conversation classes.

• Journal of Species Research
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• v.8 no.3
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• pp.249-258
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• 2019

Owing to a distinct environmental regime and anthropogenic effects, freshwater bacterial communities of urban streams are considered to be different from those of large freshwater lakes and rivers. To obtain unrecorded, freshwater bacterial species in Korea, water and sediment samples were collected from various urban streams of the Han River watershed in 2018. After plating the freshwater samples on R2A agar, approximately 1000 bacterial strains were isolated from the samples as single colonies and identified using 16S rRNA gene sequence analyses. A total of 26 strains, with >98.7% 16S rRNA gene sequence similarity with validly published bacterial species but not reported in Korea, were determined to be unrecorded bacterial species in Korea. The unrecorded bacterial strains were phylogenetically diverse and belonged to four phyla, six classes, 12 orders, 16 families, and 21 genera. At the generic level, the unreported species were assigned to Nocardioides, Streptomyces, Microbacterium, Kitasatospora, Herbiconiux, Corynebacterium, and Microbacterium of the class Actinobacteria; Paenibacillus and Bacillus of the class Bacilli; Caulobacter, Methylobacterium, Novosphingobium, and Porphyrobacter of the class Alphaproteobacteria; Aquabacterium, Comamonas, Hydrogenophaga, Laribacter, Rivicola, Polynucleobacter, and Vogesella of the class Betaproteobacteria; Arcobacter of the class Epsilonproteobacteria; and Flavobacterium of the class Flavobacteriia. The details of the 26 unreported species, including Gram reaction, colony and cell morphology, biochemical properties, and phylogenetic position are also provided in the strain descriptions.

• Geomechanics and Engineering
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• v.17 no.1
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• pp.81-95
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• 2019

Due to the importance of soil reinforcement using geotextiles in geotechnical engineering, study and investigation into long-term performance, design life and survivability of geotextiles, especially due to installation damage are necessary and will affect their economy. During installation, spreading and compaction of backfill materials, geotextiles may encounter severe stresses which can be higher than they will experience in-service. This paper aims to investigate the installation damage of geotextiles, in order to obtain a good approach to the estimation of the material's strength reduction factor. A series of full-scale tests were conducted to simulate the installation process. The study includes four deliberately poorly-graded backfill materials, two kinds of subgrades with different CBR values, three nonwoven needle-punched geotextiles of classes 1, 2 and 3 (according to AASHTO M288-08) and two different relative densities for the backfill materials. Also, to determine how well or how poorly the geotextiles tolerated the imposed construction stresses, grab tensile tests and visual inspections were carried out on geotextile specimens (before and after installation). Visual inspections of the geotextiles revealed sedimentation of fine-grained particles in all specimens and local stretching of geotextiles by larger soil particles which exerted some damage. A regression model is proposed to reliably predict the installation damage reduction factor. The results, obtained by grab tensile tests and via the proposed models, indicated that the strength reduction factor due to installation damage was reduced as the median grain size and relative density of the backfill decreases, stress transferred to the geotextiles' level decreases and as the as-received grab tensile strength of geotextile and the subgrades' CBR value increase.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.33.3-33.3
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• 2019

Automatic, yet reliable methods to find and classify barred galaxies are going to be more important in the era of large galaxy surveys. Here, we introduce a new approach to classify barred galaxies by analyzing the butterfly pattern that Buta & Block (2001) reported as a bar signature on the potential map. We make it easy to find the pattern by moving the ratio map from a Cartesian coordinate to a polar coordinate. Our volume-limited sample consists of 1698 spiral galaxies brighter than Mr = -15.2 with z < 0.01 from the Sloan Digital Sky Survey/DR7 visually classified by Ann et al. (2015). We compared the results of the classification obtained by four different methods: visual inspection, ellipse fitting, Fourier analysis, and our new method. We obtain, for the same sample, different bar fractions of 63%, 48%, 36%, and 56% by visual inspection, ellipse fitting, Fourier analysis, and our new approach, respectively. Although automatic classifications detect visually determined, strongly barred galaxies with the concordance of 74% to 86%, automatically selected barred galaxies contain different amount of weak bars. We find a different dependence of bar fraction on the Hubble type for strong and weak bars: SBs are preponderant in early-type spirals, whereas SABs are in late-type spirals. Moreover, the ellipse fitting method often misses strongly barred galaxies in the bulge-dominated galaxies. These explain why previous works showed the contradictory dependence of the bar fraction on the host galaxy properties. Our new method has the highest agreement with visual inspection in terms of the individual classification and the overall bar fraction. In addition, we find another signature on the ratio map to classify barred galaxies into new two classes that are probably related to the age of the bar.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.279-288
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• 2019

We evaluated the land cover classification performance of SegNet, which features semantic segmentation of aerial imagery. We selected four semantic classes, i.e., urban, farmland, forest, and water areas, and created 2,000 datasets using aerial images and land cover maps. The datasets were divided at a 8:2 ratio into training (1,600) and validation datasets (400); we evaluated validation accuracy after tuning the hyperparameters. SegNet performance was optimal at a batch size of five with 100,000 iterations. When 200 test datasets were subjected to semantic segmentation using the trained SegNet model, the accuracies were farmland 87.89%, forest 87.18%, water 83.66%, and urban regions 82.67%; the overall accuracy was 85.48%. Thus, deep learning-based semantic segmentation can be used to classify land cover.

• Journal of Forest and Environmental Science
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• v.37 no.3
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• pp.169-192
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• 2021

Sacred groves are large areas of virgin or human-modified landscape with a diverse range of species that have been protected by local people for centuries due to cultural, religious beliefs, and taboo that the deities live in them and protect the villagers from various calamities. The present study was carried out for quantitative analysis of diversity, population structure, regeneration and conservation status of tree species in the four 36.86 ha sacred groves of Jhargram district in West Bengal. Tree species composition, population structure and regeneration status were analyzed by randomly establishing of 1 ha subplots within the sacred groves. Density, frequency, basal area, abundance, evenness, and other diversity indices were calculated for adult trees with girth at breast height (GBH) >31 cm. A total of 146 tree species belonging to 116 genera distributed in 44 families from 21 orders were recorded. Pterospermum suberifolium, family Malvaceae showed the highest Species Importance Value Index (SIVI, 21.33) and Fabaceae showed the highest Family Importance Value Index (FIVI, 35.59) values respectively. Individuals are categorised into three groups, seedling, sapling and adult based on girth classes. The majority of tree species exhibited good (52.74%) regeneration followed by fairly (24.66%), poor (15.75%) and no regeneration (6.85%) respectively. With the healthy existence of the sacred grove, the overall population structure of tree species showed a strong regeneration potential. The current data will be useful in determining the current status of tree species and will be used by the forest department, politicians, and conservationists to establish management plans for the conservation of priority species in the region. Since the study areas were sacred groves, tribal members were keen to preserve them due to their religious significance.

• Journal of Ecology and Environment
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• v.44 no.4
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• pp.222-228
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• 2020

Background: Parthenium hysterophorus is a noxious invasive weed in tropical and subtropical regions of the world, including Nepal. Among 11 species of biological control agents released to control P. hysterophorus in Ausrtalia, winter rust Puccina abrupta var. partheniicola arrived fortuitously and has established in Kathmandu Valley, Nepal, nearly a decade back. However, the prevalence and effectiveness of this rust as a biological control agent in Kathmandu remain unknown. To address this knowledge gap, a roadside survey was done at an interval of 2 ± 0.25 km in Kathmandu Valley to assess the P. abrupta var. partheniicola incidence and its impacts on P. hysterophorus. Infested individuals of P. hysterophorus were further divided into four severity classes (very low, low, medium, and high), and rust incidence was calculated. The impact of the winter rust on the growth of P. hysterophorus was assessed by comparing biomass and seed output of infested and non-infested individuals. Results: Among 81 locations where P. hysterophorus was present in the Kathmandu Valley, winter rust infestation was observed at 98% locations. At some locations within Kathmandu Valley such as Tinkune, Kirtipur, Chabahil, Buddha Chowk, and Dhobighat, the impacts of the rust on P. hysterophorus were medium to high. Aboveground biomass and seed output of P. hysterophorus were reduced by 47% and 73%, respectively, due to winter rust infestation. The study indicates that winter rust incidence is widespread in Kathmandu Valley with very low to high levels of damages to P. hysterophorus depending on the localities. Conclusion: The rust has, therefore, a potential to reduce the growth performance of P. hysterophorus, and it can be used as a component of integrated management of P. hysterophorus by introducing to other suitable areas in Nepal.

• Journal of the Korean Dietetic Association
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• v.27 no.2
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• pp.92-112
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• 2021

This study compared the job satisfaction and job importance of school dietitians according to various school types in Sejong. One hundred and twenty-six school dietitians working in kindergartens (n=36), elementary schools (n=42), middle schools (n=22), and high schools (n=26) participated in this questionnaire survey. The subjects were divided into four groups according to the school types. Half of the subjects were over 41 years of age, with 64.3% graduating from graduate school. The percentage of nutrition teachers was the highest in middle schools at 95.4%, followed by the elementary school at 90.5% and high school at 73.1%, whereas 100% of the kindergarten dietitians were not nutrition teachers (P<0.001). The percentage of the running status of nutrition education classes/activities was lowest in kindergartens (P<0.001). The job satisfaction score in the job itself area was significantly lower in kindergartens and high schools than in middle schools (P<0.01). The satisfaction scores of human relationships, working environment, personnel evaluation, and welfare did not differ significantly among the schools. As for the Job importance, the scores of nutrition counseling were significantly lower in middle school than in elementary and high schools (P<0.05). In cooking and distribution management, high schools were less important than other school levels (P<0.05). These findings highlight the need for the placement of nutrition teachers in kindergarten to promote nutrition education, the reduction of workload for school dietitians/nutrition teachers and additional placement of dietitians by the appropriate workload such as the number of people and meals to serve.

• Journal of Species Research
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• v.10 no.3
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• pp.227-236
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• 2021

To obtain unrecorded freshwater bacterial species in Korea, water and sediment samples were collected from streams, lakes, and wetland of the Han River watershed in 2020. Approximately 800 bacterial strains were isolated on R2A agar after aerobic or anaerobic incubation, and identified using 16S rRNA gene sequences. A total of 28 strains, with ≥98.7% 16S rRNA gene sequence similarity with validly published bacterial species but not reported in Korea, were determined to be unrecorded bacterial species in Korea. The unrecorded bacterial strains were phylogenetically diverse and belonged to four phyla, eight classes, 13 orders, 19 families, and 25 genera. The unreported species were assigned to Acetobacter, Alsobacter, Mesorhizobium, Prosthecomicrobium, and Microvirga of the class Alphaproteobacteria; Vogesella, Formosimonas, Aquincola, Massilia, Acidovorax, and Brachymonas of the class Betaproteobacteria; Pseudoxanthomonas, Thermomonas, Lysobacter, Enterobacter, Kosakonia, and Acinetobacter of the class Gammaproteobacteria; Sulfuricurvum of the class Epsilonproteobacteria; Mycolicibacterium, Agromyces, Phycicoccus, and Microbacterium of the class Actinobacteria; Paenibacillus of the class Bacilli; Clostridium of the class Clostridia; and Flavobacterium of the class Flavobacteriia. The details of the unreported species, including Gram reaction, colony and cell morphology, biochemical characteristics, and phylogenetic position are also provided in the description of the strains.