• Title/Summary/Keyword: Spatial-temporal combining

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A Case Study of Children's Emotional Care Program in Combining Analysis between Children's drawings and Parenting Stress based on Web System (웹 시스템에 기반한 아동 그림과 양육스트레스 분석을 통한 정서 관리 프로그램 적용 사례 연구)

  • Lee, Seong-Oak;Kim, Byung-Chul
    • Journal of Digital Convergence
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    • v.18 no.4
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    • pp.201-209
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    • 2020
  • In this paper, we perform a case study of children's emotional care program that analyzes the emotional status through the drawings of children based on web system. In order to overcome spatial and temporal environment constraints, we have developed based on web system that performs to support the whole process from the request of analysis of children 's drawings to the feedback of the final result step by step. The online platform is designed to conduct observations for the purpose of primary screening using a smartphone, and then proceed to the offline secondary care linkage process based on the results. Then according to the results of the analysis, children and parents who need deep examination are figured out and professional institutions are linked to them for help. Parental stress had been analyzed to improve the accuracy of the test and to figure out the cause of the problem. The study was conducted on 2,532 children and their parents between the ages of 3 and 5 years attending a day care center. As a result, 564 children and 223 parents were figured out to be in need of secondary institutional care, and 311 parents were educated and counseled from the professional institutions.

Cold War Liberalism in Postwar Japan: An Interpretation of Maruyama Masao's Realistic Liberalism (냉전과 일본의 자유주의- 마루야마 마사오의 냉전자유주의와 리얼리즘)

  • Jang, In-Seong
    • 동북아역사논총
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    • no.59
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    • pp.150-186
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    • 2018
  • This paper explains what Japanese progressive liberalism was in postwar Japan by clarifying Maruyama Masao's "Cold War Liberalism," focusing especially on his realism and nationalism searching for "democracy" and "peace" in the context of the early Cold War Japan. Maruyama's Cold War liberalism can be grasped from two perspectives: how the Cold War defined his liberalism and how Maruyama interpreted the Cold War as a liberalist in postwar Japan. The liberal interpretation of the Cold War captures the spatial manifestations of liberalism in the Cold War while Cold War liberalism was to grasp the temporal succession of modern Japan. Maruyama revealed his liberal thinking by combining it to his idea of nationalism and realism. He was concerned about the reshaping of the fascist atmosphere provoked by anti-communism emerging from 186 | 동북아역사논총 59호the Cold War confrontation structure. He sought "neutrality" and "peace" to overcome the so-called "two worlds" of the Cold War. And he stressed the importance of "fair judgment" and "autonomous association" to restrain the fascistic atmosphere in postwar Japan. For Maruyama, subjectivity aimed at the concept of "nation" rather than "citizen," and nationalism was a condition for "democracy" and "peace" in postwar Japan. Maruyama's critical liberalism worked through nationalism and realism.

Detection of video editing points using facial keypoints (얼굴 특징점을 활용한 영상 편집점 탐지)

  • Joshep Na;Jinho Kim;Jonghyuk Park
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.15-30
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    • 2023
  • Recently, various services using artificial intelligence(AI) are emerging in the media field as well However, most of the video editing, which involves finding an editing point and attaching the video, is carried out in a passive manner, requiring a lot of time and human resources. Therefore, this study proposes a methodology that can detect the edit points of video according to whether person in video are spoken by using Video Swin Transformer. First, facial keypoints are detected through face alignment. To this end, the proposed structure first detects facial keypoints through face alignment. Through this process, the temporal and spatial changes of the face are reflected from the input video data. And, through the Video Swin Transformer-based model proposed in this study, the behavior of the person in the video is classified. Specifically, after combining the feature map generated through Video Swin Transformer from video data and the facial keypoints detected through Face Alignment, utterance is classified through convolution layers. In conclusion, the performance of the image editing point detection model using facial keypoints proposed in this paper improved from 87.46% to 89.17% compared to the model without facial keypoints.

Evaluation of Agro-Climatic Index Using Multi-Model Ensemble Downscaled Climate Prediction of CMIP5 (상세화된 CMIP5 기후변화전망의 다중모델앙상블 접근에 의한 농업기후지수 평가)

  • Chung, Uran;Cho, Jaepil;Lee, Eun-Jeong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.17 no.2
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    • pp.108-125
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    • 2015
  • The agro-climatic index is one of the ways to assess the climate resources of particular agricultural areas on the prospect of agricultural production; it can be a key indicator of agricultural productivity by providing the basic information required for the implementation of different and various farming techniques and practicalities to estimate the growth and yield of crops from the climate resources such as air temperature, solar radiation, and precipitation. However, the agro-climate index can always be changed since the index is not the absolute. Recently, many studies which consider uncertainty of future climate change have been actively conducted using multi-model ensemble (MME) approach by developing and improving dynamic and statistical downscaling of Global Climate Model (GCM) output. In this study, the agro-climatic index of Korean Peninsula, such as growing degree day based on $5^{\circ}C$, plant period based on $5^{\circ}C$, crop period based on $10^{\circ}C$, and frost free day were calculated for assessment of the spatio-temporal variations and uncertainties of the indices according to climate change; the downscaled historical (1976-2005) and near future (2011-2040) RCP climate sceneries of AR5 were applied to the calculation of the index. The result showed four agro-climatic indices calculated by nine individual GCMs as well as MME agreed with agro-climatic indices which were calculated by the observed data. It was confirmed that MME, as well as each individual GCM emulated well on past climate in the four major Rivers of South Korea (Han, Nakdong, Geum, and Seumjin and Yeoungsan). However, spatial downscaling still needs further improvement since the agro-climatic indices of some individual GCMs showed different variations with the observed indices at the change of spatial distribution of the four Rivers. The four agro-climatic indices of the Korean Peninsula were expected to increase in nine individual GCMs and MME in future climate scenarios. The differences and uncertainties of the agro-climatic indices have not been reduced on the unlimited coupling of multi-model ensembles. Further research is still required although the differences started to improve when combining of three or four individual GCMs in the study. The agro-climatic indices which were derived and evaluated in the study will be the baseline for the assessment of agro-climatic abnormal indices and agro-productivity indices of the next research work.

Plant Hardiness Zone Mapping Based on a Combined Risk Analysis Using Dormancy Depth Index and Low Temperature Extremes - A Case Study with "Campbell Early" Grapevine - (최저기온과 휴면심도 기반의 동해위험도를 활용한 'Campbell Early' 포도의 내동성 지도 제작)

  • Chung, U-Ran;Kim, Soo-Ock;Yun, Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.10 no.4
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    • pp.121-131
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    • 2008
  • This study was conducted to delineate temporal and spatial patterns of potential risk of cold injury by combining the short-term cold hardiness of Campbell Early grapevine and the IPCC projected climate winter season minimum temperature at a landscape scale. Gridded data sets of daily maximum and minimum temperature with a 270m cell spacing ("High Definition Digital Temperature Map", HD-DTM) were prepared for the current climatological normal year (1971-2000) based on observations at the 56 Korea Meteorological Administration (KMA) stations using a geospatial interpolation scheme for correcting land surface effects (e.g., land use, topography, and elevation). The same procedure was applied to the official temperature projection dataset covering South Korea (under the auspices of the IPCC-SRES A2 and A1B scenarios) for 2071-2100. The dormancy depth model was run with the gridded datasets to estimate the geographical pattern of any changes in the short-term cold hardiness of Campbell Early across South Korea for the current and future normal years (1971-2000 and 2071-2100). We combined this result with the projected mean annual minimum temperature for each period to obtain the potential risk of cold injury. Results showed that both the land areas with the normal cold-hardiness (-150 and below for dormancy depth) and those with the sub-threshold temperature for freezing damage ($-15^{\circ}C$ and below) will decrease in 2071-2100, reducing the freezing risk. Although more land area will encounter less risk in the future, the land area with higher risk (>70%) will expand from 14% at the current normal year to 23 (A1B) ${\sim}5%$ (A2) in the future. Our method can be applied to other deciduous fruit trees for delineating geographical shift of cold-hardiness zone under the projected climate change in the future, thereby providing valuable information for adaptation strategy in fruit industry.