• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2009.04a
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• pp.7-20
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• 2009

On the basis of introducing the development process of Chinese nature reserve since first nature reserve was set up in 1959 in China, and comparing the definition of nature reserve between IUCN and China, combining with the objectives and significance of the establishment of Chinese Nature Reserve, the present state and achievements of nature reserve in China were introduced detailedly. And the effect of the laws and rules on the protection in nature and biodiversity was assessed after analyzing the characteristics of the interrelated laws and rules enacted in course of development of Chinese nature reserve over 50 years. Also the qualifications and procedures of nature reserve establishment and relevance aspects of content in China were narrated, and the classification system and management system of Chinese nature reserve and their characteristics were introduced. Finally, the Medium and Long Term Program for Nature Reserve Development in China was introduced, and present some proposals to solve the problems on the basics that discuss the distribution status and its characteristics and problems on managing nature reserve in China.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.9
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• pp.55-61
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• 2008

Because of the high increasing rate of load demand these days the necessity of deciding what optimum reserve level is appropriate to most stably supply electricity is being emphasized. This research studies the downward tendency of reserve ratio by analyzing the trend of change of the network scale, reserve, and reserve ratio while optimum reserve has been increased as the network system scale grow up. This means, at this moment 6,000[MW] is optimum level for short term prospect of power supply and demand. And also, it has been analyzed that, as the annual peak load exceeded 50,000[MW], confirming the amount of optimum reserve level is more stable than keeping 10 to 12[%] reserve ratio.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.9-14
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• 2022

In the IoT(internet of things) where various devices can be connected, failure of essential devices may lead to a lot of economic and life losses. For reducing the losses, fault diagnosis techniques have been considered an essential part of IoT. In this paper, the method based on a graph neural network is proposed for determining fault and classifying types by extracting features from vibration data of systems. For training of the deep learning model, fault dataset are used as input data obtained from the CWRU(case western reserve university). To validate the classification performance of the proposed model, a conventional CNN(convolutional neural networks)-based fault classification model is compared with the proposed model. From the simulation results, it was confirmed that the classification performance of the proposed model outweighed the conventional model by up to 5% in the unevenly distributed data. The classification runtime can be improved by lightweight the proposed model in future works.

• Journal of Mushroom
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• v.18 no.4
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• pp.292-296
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• 2020

This study surveyed mushrooms as part of the Hallasan Natural Reserve Basic Academic Survey, which was conducted for the purposes of securing basic data on the Hallasan Mountain Natural Reserve; our study targeted the area between Seongpanak Trail and Donnaeko Trail from April to October 2018. A total of 392 species from 184 genera in 65 families were investigated. Among them, 187 mushrooms were wood-decaying species. The greatest diversity in mushroom species was recorded in July (206 species) at an altitude of 600-800 m above sea level. Among the mushrooms investigated, five were climate-sensitive biological indicator species and two were potential candidates for that classification. Of these, 163 species were biological resources that require approval for overseas export.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.315-328
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• 2011

Landsat data incorporated with additional bands-normalized difference vegetation index (NDVI) and band ratios were used to assess the extent and rate of deforestation in the Gunung Mutis Nature Reserve (GMNR), a mountainous tropical forest in Eastern of Indonesia. Hybrid classification was chosen as the classification approach. In this approach, the unsupervised classification-iterative self-organizing data analysis (ISODATA) was used to create signature files and training data set. A statistical separability measurement-transformed divergence (TD) was used to identify the combination of bands that showed the highest distinction between the land cover classes in training data set. Supervised classification-maximum likelihood classification (MLC) was performed using selected bands and the training data set. Post-classification smoothing and accuracy assessment were applied to classified image. Post-classification comparison was used to assess the extent of deforestation, of which the rate of deforestation was calculated by the formula suggested by Food Agriculture Organization (FAO). The results of two periods of deforestation assessment showed that the extent of deforestation during 1989-1999 was 720.72 ha, 0.80% of annual rate of deforestation, and its extent of deforestation during 1999-2009 was 1,059.12 ha, 1.31% of annual rate of deforestation. Such results are important for the GMNR authority to establish strategies, plans and actions for combating deforestation.

• The Korean Journal of Applied Statistics
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• v.21 no.2
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• pp.183-200
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• 2008

Research for efficient management of the National Pension has been emphasized as the current society trends toward aging and low birth rate. In this article, we suggest a statistical model for effective classification and prediction of the reserve for the survivor's pension in Korea. Logistic regression model is incorporated; correct classification rate, and distribution of the posterior probability for the reserve of survivor's pension are investigated and compared with the results from the general logistic models. Assessment of predictive model is also done with lift graph, ROC curve and K-S statistic. We suggest strategies for reducing financial risks in managing and planning the pension as an application of the suggested model.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.25 no.1
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• pp.61-69
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• 2022

Purpose: Studies in adults have shown an increasing incidence of Clostridioides difficile infection (CDI) in patients hospitalized with acute pancreatitis (AP). There is lack of epidemiological data on CDI and its impact on hospitalized pediatric patients with AP. Methods: We analyzed the National Inpatient Sample and Kids' Inpatient Database between the years 2003 and 2016 and included all patients (age <21 years) with a primary diagnosis of AP using specific International Classification of Diseases codes. We compared clinical outcomes between children with CDI and those without CDI. Our primary outcome was severe AP and secondary outcomes included length of stay and hospital charges. Results: A total of 123,240 hospitalizations related to AP were analyzed and CDI was noted in 0.6% of the hospital. The prevalence rate of CDI doubled from 0.4% (2003) to 0.8% (2016), p=0.03. AP patients with CDI had increased comorbidities, and also underwent more invasive surgical procedures, p<0.05. AP patients with CDI had a higher in-hospital mortality rate and increased prevalence of severe AP, p<0.001. Multivariate regression models showed that CDI was associated with 2.4 times (confidence interval [CI]: 1.91 to 3.01, p<0.001) increased odds of severe AP. CDI patients had 7.24 (CI: 6.81 to 7.67, p<0.001) additional hospital days while incurring $59,032 (CI: 54,050 to 64,014, p<0.001) additional hospitalization charges. Conclusion: CDI in pediatric patients with AP is associated with adverse clinical outcomes and increased healthcare resource utilization. Further studies are needed to elucidate this association to prevent the development of CDI and to improve outcomes.

• Journal of People, Plants, and Environment
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• v.24 no.1
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• pp.95-105
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• 2021

Background and objective: A biosphere reserve is a complex concept that combines the preservation of biodiversity and the sustainable development with the region, outstanding ecosystems with worth conserving in worldwide. The purpose of this study is to suggest the way of zoning that can perform the functions of conservation, development, and logistics support of biosphere reserves. Methods: To meet the purpose of this study, the designation criteria, restrictions, and permissions of the protected area specified in the law for domestic protected areas were reviewed to classify the functions of a biosphere reserve. Results: Through this classification, 10 domestic protected areas with high ecological protection value, such as the natural beauty of the ecosystem, biodiversity, and habitats for wild animals and plants were derived as the core areas of the biosphere reserves. Also, a total of 21 protected zones that can function as a buffer to protect the core of the natural ecosystem from indiscriminate development such as resource protection, recovery, pollution prevention, and improvement were derived as appropriate sites for a buffer. In the review process, issues such as different behavioral restrictions and ranges of permission due to the application of different laws were identified, if two or more protected areas exist within one of the protected areas, there is a protected area that does not meet the criteria for designating use zone, or where behavior restrictions do not meet the zoning criteria of biosphere reserve, under the laws of domestic protected areas. Conclusion: Although this study was not able to carefully review most of the laws on domestic protected areas that are linked to other laws, it was able to categorize appropriate domestic protected areas that can act as the core and buffer zones of biosphere reserves.

• Journal of the Korean association of regional geographers
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• v.9 no.4
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• pp.519-533
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• 2003

The U.S. Conservation Reserve Program (CRP) resulted in the conversion of approximately 14.8 million ha(36.5 million acres) of cropland to grassland, woodland, and other conservation uses throughout the U.S. between 1986 and 1992. One of the major results of CRP has been the addition of millions of hectares of potential wildlife habitat. primarily as grassland. In this study, we examined regional changes in landscape structure caused by the introduction of CRP. Utilizing multi-seasonal Landsat Thematic Mapper imagery, we produced maps of cropland and grassland for the pre- and post- CRP enrollment periods for a six-county region in southwest Kansas. We then applied post-classification differencing to identify regions of cropland that had been converted to CRP. Using the FRAGSTATS spatial pattern analysis program, we calculated a variety of spatial statistics to analyze changes in landscape structure due to CRP. The major impact of CRP in the six-county study area has been the reversal of an overall trend of grassland habitat fragmentation. From the standpoint of potential wildlife habitat, the introduction of CRP has greatly increased the number of patches, mean patch size, and the interior or core area of grassland patches. In addition, CRP has increased connectivity and aggregation between grassland patches, potentially important factors for species of conservation interest, particularly those that require larger expanses of unbroken habitat. Finally, the distance between neighboring patches of grassland has decreased, reducing travel distance between patches. Clearly, the introduction of CRP has substantially modified the spatial structure of the southwest Kansas landscape, with important implications for wildlife habitat.

• Journal of Korean Society of Forest Science
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• v.110 no.1
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• pp.1-12
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• 2021

In this study, the structure of forest vegetation in Mt. Seondalsan, Bongwha-gun, was analyzed. Vegetation data were collected in 137 quadrat plots using the Z-M phytosociological method from June to October 2018. These data were analyzed using vegetation classification, importance value,and species diversity. Consequently, vegetation was classified as a Quercus mongolica community group that was divided into four communities: Cornus controversa, Phlomis umbrosa, Pinus densiflora, and Q. mongolica communities. The C. controversa community was subdivided into Magnolia sieboldii and Parthenocissus tricuspidata groups; the P. densiflora community was divided into Vaccinium hirtum var. koreanum, Quercus variabilis, and P. densiflora groups. In the C. controversa community, the M. sieboldii group was divided into the Acer mandshuricum and M. sieboldii subgroups, whereas the P. tricuspidata group was divided into the Larix kaempferi, Pinus koraiensis, and P. tricuspidata subgroups. In the P. densiflora community, the V. hirtum var. koreanum group was divided into the Rhododendron micranthum and V. hirtum var. koreanum subgroups. According to importance value analysis, C. controversa, L. kaempferi, P. koraiensis, Q. mongolica, Acer pictum subsp. mono, P. densiflora, and Q. variabilis were mainly indicated to have high value in the tree layer. The species diversity of Mt. Seondalsan was 1.969, which was greater than that of another Forest Genetic Resource Reserve.