• Journal of The Geomorphological Association of Korea
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• v.24 no.1
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• pp.105-116
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• 2017

This article is written in the viewpoint of landscape ecological geography. The coast of South Chung-chong Province will make new characters of region in the development strategies program. This study is to describe geomorphological landscapes of South Chung-chong Province relating with it's environment based on the coast. Although landforms constitute prominent landscape features as tidal flats and rock cliff do, it is nonetheless the features such as beaches, sanddunes, and coastal plains that have various ramifications for human communities. Tidal flats, beaches and coastal sanddunes are special in that their formation is attributable to the combined action of tidal flows, waves and winds. To some extent, the erosion of sand has been a global phenomenon. Human impact are involved. The influence of globalization and expansion of liberal trade appears in regions variously. Individual regions need to secure its competitiveness in the world market. Regions are not value-neutral abstract conception, but must be informal commercialized characters of region. The coast of South Chung-chong Province has experienced rapid and dramatic changes. In industrial times, the middle of west coast Korea turned into a major reclamation at larger scale. Reclaimed land was based on location of industry and mechanized agriculture. The west coast highway and bridges between island and land contributed to the development of west coast transportation. As information society matured, trend and value are changing. Environment and ecology emphasize and rediscover the value of tidal flats and sanddunes. The west coast region now receives attention as eco-tour and sustainable course.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.49-59
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• 2023

Recently, attention to the pandemic situation represented by COVID-19 emerged problems caused by unexpected shortage of medical personnel. In this paper, we present a method for diagnosing the presence or absence of lesional sign on PA chest X-ray images as computer vision solution to support diagnosis tasks. Method for visual anomaly detection based on feature modeling can be also applied to X-ray images. With extracting feature vectors from PA chest X-ray images and divide to patch unit, region-specific abnormality can be detected. As preliminary experiment, we created simulation data set containing multiple objects and present results of the comparative experiments in this paper. We present method to improve both efficiency and performance of the process through hard masking of patch features to aligned images. By summing up regional specificity and global anomaly detection results, it shows improved performance by 0.069 AUROC compared to previous studies. By aggregating region-specific and global anomaly detection results, it shows improved performance by 0.069 AUROC compared to our last study.

• Smart Media Journal
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• v.11 no.11
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• pp.92-98
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• 2022

Identifying defects in textiles is a key procedure for quality control. This study attempted to create a model that detects defects by analyzing the images of the fabrics. The models used in the study were deep learning-based VGGNet and ResNet, and the defect detection performance of the two models was compared and evaluated. The accuracy of the VGGNet and the ResNet model was 0.859 and 0.893, respectively, which showed the higher accuracy of the ResNet. In addition, the region of attention of the model was derived by using the Grad-CAM algorithm, an eXplainable Artificial Intelligence (XAI) technique, to find out the location of the region that the deep learning model recognized as a defect in the fabric image. As a result, it was confirmed that the region recognized by the deep learning model as a defect in the fabric was actually defective even with the naked eyes. The results of this study are expected to reduce the time and cost incurred in the fabric production process by utilizing deep learning-based artificial intelligence in the defect detection of the textile industry.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.268-268
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• 2021

Groundwater resource is mostly used in Abomey-calavi (southern region of Benin) as main source of water for domestic, industrial, and agricultural activities. Groundwater intake across the region is not perfectly controlled by a network due to the presence of many private boreholes and traditional wells used by the population. After some decades, this important resource is becoming more and more vulnerable and needs more attention. For a better groundwater management in the region of Abomey-calavi, the present study attempts to predict a future probable groundwater drought using Recurrent Neural Network (RNN) for future groundwater level prediction. The RNN model was created in python using jupyter library. Six years monthly groundwater level data was used for the model calibration, two years data for the model test and the model was finaly used to predict two years future groundwater level (years 2020 and 2021). GRI was calculated for 9 wells across the area from 2012 to 2021. The GRI value in dry season (by the end of March) showed groundwater drought for the first time during the study period in 2014 as severe and moderate; from 2015 to 2021 it shows only moderate drought. The rainy season in years 2020 and 2021 is relatively wet and near normal. GRI showed no drought in rainy season during the study period but an important diminution of groundwater level between 2012 and 2021. The Pearson's correlation coefficient calculated between GRI and rainfall from 2005 to 2020 (using only three wells with times series long period data) proved that the groundwater drought mostly observed in dry season is not mainly caused by rainfall scarcity (correlation values between -0.113 and -0.083), but this could be the consequence of an overexploitation of the resource which caused the important spatial and temporal diminution observed from 2012 to 2021.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.1
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• pp.23-32
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• 2019

Taking the boards and couplets of Changdeokgung Palace's Rear Garden as the research object, there were many studies about the humanistic interpretation of landscape elements, but there is no empirical study on Chinese visitors' landscape perception. Therefore, the purpose of this study is to find out how many Chinese visitors pay attention to the boards and couplets; If they are paid attention, how much they are understood and how helpful they are; Whether there is a difference in the perception of the boards and couplets in Buyongji and Ongnyucheon region. First, 97.5% of Chinese visitors read the boards of Changdeokgung Palace's Rear Garden, which proved that most Chinese visitors are highly aware of the boards and couplets because they are familiar with Chinese characters. Second, 'Chinese visitors who understanding of the boards and couplets' was shown to be significant value(0.00 < 0.05) and the average value was 3.39 > 2.97, indicating that the boards had a higher understood than the couplets. And 'Helpful of the boards and couplets in interpreting the entire landscape' was significant value(0.00 < 0.05) and the average was 3.85 > 3.37, indicating that the boards was more helpful than the couplets. Third, the results of the difference in the perception of the boards and couplets in Buyongji and Okryucheon region were that 'the board of Buyongjeong in Buyongji region' and 'the board of Soyojeong in Ongnyucheon region' are related to the surrounding landscape. Additionally, through practical interview, survey respondents(4 person) responded that understanding of the boards and couplets is closely related to their personal interesting orientations, educational background and experience. And the importance of the narrator's role was emphasized in appreciating the landscape by survey respondents.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.3
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• pp.1-13
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• 2020

Objective : The purpose of this study was to evaluate the differences in sensory processing and visual perception between school-age children with Attention Deficit Hyperactivity Disorder (ADHD) and typical children. Methods : The participants in this research were children in the first and second grade in elementary school in Kyoung-Nam Region; 25 children diagnosed with ADHD comprised the experimental group, and 51 typical children comprised the control group. To evaluate the sensory processing of the children, the Sensory Profile (SP) was used, and the Korean Developmental Test of Visual Perception-2 (K-DTVP-2) was used to assess visual perception skills. The data were analyzed using SPSS 20.0, and the Independent t-test was used to compare the sensory processing and visual perception skills of the two groups. Results : The study found differences in the Sensory Profile summary scores and factor summary scores between the two groups (p<.05). We also found differences in the visual perception index and subtest standard scores between the two groups (p<.05). Conclusion : The results of this study show that the experimental and the control groups had significant differences in sensory processing and visual perception skills. The result will contribute to the assessment and education of children with ADHD.

• The Transactions of the Korea Information Processing Society
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• v.13 no.4
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• pp.157-165
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• 2024

The evolution of the Distributed Denial of Service Attack(DDoS Attack) method has increased the difficulty in the detection process. One of the solutions to overcome the problems caused by the limitations of the existing victim-side detection method was the source-side detection technique. However, there was a problem of performance degradation due to network traffic irregularities. In order to solve this problem, research has been conducted to detect attacks using a collaborative network between several nodes based on artificial intelligence. Existing methods have shown limitations, especially in nonlinear traffic environments with high Burstness and jitter. To overcome this problem, this paper presents a collaborative source-side DDoS attack detection technique introduced with an attention mechanism. The proposed method aggregates detection results from multiple sources and assigns weights to each region, and through this, it is possible to effectively detect overall attacks and attacks in specific few areas. In particular, it shows a high detection rate with a low false positive of about 6% and a high detection rate of up to 4.3% in a nonlinear traffic dataset, and it can also confirm improvement in attack detection problems in a small number of regions compared to methods that showed limitations in the existing nonlinear traffic environment.

• Transactions of the Korean Society of Automotive Engineers
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• v.17 no.2
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• pp.90-97
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• 2009

One of the most important factors that affect a person's risk of injury in a motor vehicle crash is the age of the person. This study investigates the characteristics of crash injuries among young, middle-aged and older drivers and occupants. Based on the comprehensive claim data from automobile insurance from 2000 to 2007, this study examines in great detail the drivers and occupants injury body regions and severity by age in car-to-car frontal crashes. It has been shown that elderly drivers and occupants suffer more injuries at a chest region compared to the middle-aged group. This research calls attention to the need for design to make vehicles more protective for older drivers in car-to car frontal crashes.

• Journal of the Korean housing association
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• v.18 no.3
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• pp.103-113
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• 2007

The purpose of this study is calling attention to the silver town by analyse preference attributes diversely and suggest alterative plan. Also, offering basic data which needs for the establishment of comfortable and ideal old age residence culture by developing silver town which is appropriate for our circumstances and emotion. The survey population of this study focused on 40s and 50s' middle aged both genders living in the Seoul and national capital region, we used random sampling method. The analytical methods used in this study were frequency, mean, standard deviation, Factor Analysis, t-test, ANOVA, post-hoc estimation (Duncan test), multiple regression, To verify the reliability of each measure, Cronbach's alpha coefficient was used.

• Proceedings of the KSME Conference
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• 2001.06e
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• pp.512-517
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• 2001

In this study, spin-up flows in a rectangular container are analysed by using three-dimensional computation. In the numerical computation, we use the parallel computer system of PC-cluster type. We compared our results with those obtained by two-dimensional computation. Effect of velocity and vorticity on the flow is studied. The result shows that two-dimensional solution is in good agreement with the 3-D result. Attention is given to the region where the 3-D flow is significant.