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  1. Article ; Online: Comparative Study of Deep Neural Networks for Landslide Susceptibility Assessment

    Jeong-Cheol Kim / Sunmin Lee

    Sustainability, Vol 16, Iss 1, p

    A Case Study of Pyeongchang-gun, South Korea

    2023  Volume 245

    Abstract: With an increase in local precipitation caused by extreme climatic phenomena, the frequency of landslides and associated damage has also increased. Therefore, compiling fine-scale landslide susceptibility assessment maps based on data from landslide- ... ...

    Abstract With an increase in local precipitation caused by extreme climatic phenomena, the frequency of landslides and associated damage has also increased. Therefore, compiling fine-scale landslide susceptibility assessment maps based on data from landslide-affected areas is essential. Deep neural network (DNN) and kernel-based DNN(DNNK) models were used to prepare landslide susceptibility maps of the mountainous Pyeongchang-gun region (South Korea) within a geographic information system framework. To map landslide susceptibility, datasets of landslide occurrence areas, topography, land use, forest, and soil were collected and entered into spatial databases, and 18 factors were then selected from the databases and used as model inputs. The training and test datasets consisted of 1600 and 400 landslide locations, respectively. The test accuracies of the DNN and DNNK models were 98.19% and 97.53% and 94.11% and 92.22% for the area under the receiver operating characteristic curve and the average precision value of the precision-recall curve, respectively. The location of future landslides can now be quickly and efficiently predicted using remote sensing data at a lower cost and with less labor. The landslide susceptibility maps produced in this study can play a role in sustainability and serve as references for establishing policies for landslide prevention and mitigation.
    Keywords landslide susceptibility ; mapping ; deep neural network ; kernel-based DNN ; extreme climate ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 550 ; 333
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images

    Jeong-Cheol Kim / Hyung-Sup Jung / Saro Lee

    Remote Sensing, Vol 11, Iss 19, p

    2019  Volume 2285

    Abstract: This study analyzed the Groundwater Productivity Potential (GPP) of Okcheon city, Korea, using three different models. Two of these three models are data mining models: Boosted Regression Tree (BRT) model and Random Forest (RF) model. The other model is ... ...

    Abstract This study analyzed the Groundwater Productivity Potential (GPP) of Okcheon city, Korea, using three different models. Two of these three models are data mining models: Boosted Regression Tree (BRT) model and Random Forest (RF) model. The other model is the Logistic Regression (LR) model. The three models are based on the relationship between groundwater-productivity data (specific capacity (SPC) and transmissivity (T)) and the related hydro-geological factors from thematic maps, such as topography, lineament, geology, land cover, and etc. The thematic maps which are generated from the remote sensing images. Groundwater productivity data were collected from 86 wells locations. The resulting GPP maps were validated through area-under-the-curve (AUC) analysis using wells data that had not been used for training the model. When T was used in the BRT, RF, and LR models, the obtained GPP maps had 81.66%, 80.21%, and 85.04% accuracy, respectively, and when SPC was used, the maps had 81.53%, 78.57%, and 82.22% accuracy, respectively. The LR model, which is a statistical model, showed the highest verification accuracy, also the other two models showed high accuracies. These observations indicate that all three models can be useful for groundwater resource development.
    Keywords groundwater ; remote sensing ; gis ; random forest ; boosted regression tree ; logistic regression ; Science ; Q
    Subject code 550
    Language English
    Publishing date 2019-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Invasion and Dispersion of the Exotic Species Procambarus clarkii (Decapoda Cambaridae) in Yeongsan River Basin, South Korea

    Jong-Yun Choi / Seong-Ki Kim / Jeong-Cheol Kim / Jong-Hak Yun

    Animals, Vol 11, Iss 3489, p

    2021  Volume 3489

    Abstract: The introduction of exotic species negatively affects the distribution and interactions within local biological communities in an ecosystem and can threaten ecosystem health. This study aimed to provide the basic data required to manage P. clarkii in the ...

    Abstract The introduction of exotic species negatively affects the distribution and interactions within local biological communities in an ecosystem and can threaten ecosystem health. This study aimed to provide the basic data required to manage P. clarkii in the Yeongsan River basin. We identified the dispersion pattern and evaluated the ecosystem risk of this newly introduced species. The distribution survey investigated Procambarus clarkii populations at 25 sites in the Yeongsan River basin over a four-year period. The initial introduction occurred in Jiseok Stream. The larvae of P. clarkii were most abundant in areas with a dense aquatic plant cover, whereas adults preferred silt/clay areas. The alterations in the water flow by the river refurbishment project (carried out in 2012) increased their preferred habitats and contributed to P. clarkii dispersion. However, stable isotope analysis showed that the dispersion has had little effect on the freshwater ecosystem. The interrelationship between P. clarkii (i.e., larvae and adults) and other biological communities has been limited. Although the rapid dispersion by P. clarkii in the Yeongsan River basin has not impacted the freshwater ecosystem, further ecological information is required on how to manage P. clarkii beyond this early stage of invasion.
    Keywords river ecosystem ; microhabitat ; ecosystem risk ; stable isotope analysis ; Astacura ; Veterinary medicine ; SF600-1100 ; Zoology ; QL1-991
    Subject code 333 ; 550
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Habitat Preferences and Trophic Position of Brachydiplax chalybea flavovittata Ris, 1911 (Insecta

    Jong-Yun Choi / Seong-Ki Kim / Jeong-Cheol Kim / Soon-Jik Kwon

    Insects, Vol 11, Iss 273, p

    Odonata) Larvae in Youngsan River Wetlands of South Korea

    2020  Volume 273

    Abstract: In freshwater ecosystems, habitat heterogeneity supports high invertebrate density and diversity, and it contributes to the introduction and settlement of non-native species. In the present study, we identified the habitat preferences and trophic level ... ...

    Abstract In freshwater ecosystems, habitat heterogeneity supports high invertebrate density and diversity, and it contributes to the introduction and settlement of non-native species. In the present study, we identified the habitat preferences and trophic level of Brachydiplax chalybea flavovittata larvae, which were distributed in four of the 17 wetlands we examined in the Yeongsan River basin, South Korea. Larval density varied across four microhabitat types: open water area, and microhabitats dominated by Myriophyllum aquaticum , Paspalum distichum , and Zizania latifolia . Microhabitats dominated by M. aquaticum had the highest larval density, followed by those dominated by P. distichum . The larvae were more prevalent in silt sediments than in plant debris or sand. Stable isotope analysis showed that B. chalybea flavovittata is likely to consume, as a food source, other species of Odonata larvae. We conclude that successful settlement of B. chalybea flavovittata can be attributed to their habitat preferences. As temperature increases due to climate change, the likelihood of B. chalybea flavovittata spreading throughout South Korea increases. We, therefore, recommend continued monitoring of the spread and ecological impacts of B. chalybea flavovittata .
    Keywords atmospheric temperature ; distribution and diffusion ; habitat heterogeneity ; macrophytes ; Odonata larvae ; stable isotope analysis ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2020-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Vibrotactile Rendering for a Traveling Vibrotactile Wave Based on a Haptic Processor.

    Sang-Youn Kim / Jeong Cheol Kim

    IEEE transactions on haptics

    2012  Volume 5, Issue 1, Page(s) 14–20

    Abstract: Mobile device users can now experience diverse graphical content ranging from a simple static object to an object having complex dynamic behavior. A user who manipulates and plays with such "objects" wants to haptically "feel" the presence of a static ... ...

    Abstract Mobile device users can now experience diverse graphical content ranging from a simple static object to an object having complex dynamic behavior. A user who manipulates and plays with such "objects" wants to haptically "feel" the presence of a static object or the motion of a dynamic object. To satisfy this demand, we previously proposed a vibrotactile rendering method based on a vibrotactile traveling wave. Although the proposed method can haptically simulate the dynamic behavior of a target object, it is not easy to delicately generate the traveling vibrotactile wave. The reason is that the sampling rate of the haptic loop in the system determines the performance of the traveling vibrotactile wave. In this study, we develop a haptic processor that can control multiple motors, and furthermore we discuss how we could create traveling vibrotactile waves in mobile devices.
    Language English
    Publishing date 2012-01
    Publishing country United States
    Document type Journal Article
    ISSN 1939-1412
    ISSN 1939-1412
    DOI 10.1109/TOH.2011.72
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea

    Sunmin Lee / Jeong-Cheol Kim / Hyung-Sup Jung / Moung Jin Lee / Saro Lee

    Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1185-

    2017  Volume 1203

    Abstract: Since flood frequency increases with the impact of climate change, the damage that is emphasized on flood-risk maps is based on actual flooded area data; therefore, flood-susceptibility maps for the Seoul metropolitan area, for which random-forest and ... ...

    Abstract Since flood frequency increases with the impact of climate change, the damage that is emphasized on flood-risk maps is based on actual flooded area data; therefore, flood-susceptibility maps for the Seoul metropolitan area, for which random-forest and boosted-tree models are used in a geographic information system (GIS) environment, are created for this study. For the flood-susceptibility mapping, flooded-area, topography, geology, soil and land-use datasets were collected and entered into spatial datasets. From the spatial datasets, 12 factors were calculated and extracted as the input data for the models. The flooded area of 2010 was used to train the model, and the flooded area of 2011 was used for the validation. The importance of the factors of the flood-susceptibility maps was calculated and lastly, the maps were validated. As a result, the distance from the river, geology and digital elevation model showed a high importance among the factors. The random-forest model showed validation accuracies of 78.78% and 79.18% for the regression and classification algorithms, respectively, and boosted-tree model showed validation accuracies of 77.55% and 77.26% for the regression and classification algorithms, respectively. The flood-susceptibility maps provide meaningful information for decision-makers regarding the identification of priority areas for flood-mitigation management.
    Keywords flood susceptibility ; random forest ; boosted tree ; gis ; seoul metropolitan city ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
    Subject code 910
    Language English
    Publishing date 2017-12-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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