• 제목/요약/키워드: Time Series Changes

검색결과 809건 처리시간 0.026초

공간자기상관분석을 통한 시계열적 경관구조의 변화 분석 - 남양주지역을 대상으로 - (A Time-Series Analysis of Landscape Structural Changes using the Spatial Autocorrelation Method - Focusing on Namyangju Area -)

  • 김희주;오규식;이동근
    • 한국환경복원기술학회지
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    • 제14권3호
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    • pp.1-14
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    • 2011
  • In order to determine temporal changes of the urban landscape, interdependence and interaction among geo-spatial objects can be analyzed using GIS analytic methods. In this study, to investigate changes in the landscape structure of the Namyangju area, the size and shape of landscape patches, and the distance between the patches were analyzed with the Spatial Autocorrelation Method. In addition, both global and local spatial autocorrelation analyses were conducted. The results of global Moran's I revealed that both patch size and shape index transformed to a more dispersed pattern over time. Next, the local Moran's I of patch size in all time series determined that almost all patches were of a high-low pattern. Meanwhile, the local Moran's I of the shape index was found to have changed from a high-high pattern to a high-low pattern in time series. Finally, as time passes, the number of hot spot patches about size and shape index had been decreased according to the results of hot spot analysis. These changes appeared around the development projects in the study area. From the results of this study, degradation of landscape patches in Namyangju were ascertained and their specific areas were delineated. Such results can be used as useful data in selecting areas for conservation and for preparing plans and strategies in environmental restoration.

시계열 패치 매핑을 이용한 토지피복도의 도시공간구조 변화 검출 (Urban spatial structure change detection in land cover map using time-series patch mapping)

  • 이영창;이경미;전진형
    • 디지털콘텐츠학회 논문지
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    • 제19권9호
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    • pp.1727-1737
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    • 2018
  • 본 논문에서는 토지피복도에서 공간구조를 검출하고 시계열 공간구조 변화를 검출하는 시스템을 제안한다. 서로 다른 시간의 토지피복도에서 패치를 검출하고 패치의 측정요소를 계산하여 공간구조 패턴을 분석한다. 검출된 시계열 패치에 대해 패치 매핑을 이용하여 유지, 생성, 소멸, 분할, 병합, 혼합적 변환 등의 변화 유형을 결정한다. 또한, 시계열 토지피복도의 패치 기반 공간구조 패턴을 이진으로 저장하여 변화를 추출하였다. 본 논문에서는 제안하는 토지피복도 공간구조 변화검출 시스템을 통해 해당 지역(도시)의 난개발 현상을 진단하고, 향후 도시공간구조의 재구축을 위한 계획수립에 근거 자료로 활용될 수 있음을 보여주고 있다.

Improving the Workplace Experience of Caregiver-Employees: A Time-Series Analysis of a Workplace Intervention

  • Ding, Regina;Dardas, Anastassios;Wang, Li;Williams, Allison
    • Safety and Health at Work
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    • 제12권3호
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    • pp.296-303
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    • 2021
  • Background: Rapid population aging in developed countries has resulted in the working-age population increasingly being tasked with the provision of informal care. Methods: An educational intervention was delivered to 21 carer-employees employed at a Canadian University. Work role function, job security, schedule control, work-family conflict, familywork conflict, and supervisor and coworker support were measured as part of an aggregated workplace experience score. This score was used to measure changes pre/post intervention and at a follow-up period approximately 12 months post intervention. Three random intercept models were created via linear mixed modeling to illustrate changes in participants' workplace experience across time. Results: All three models reported statistically significant random and fixed effects intercepts, with a positive coefficient of change. Conclusion: This suggests that the intervention demonstrated an improvement of the workplace experience score for participants over time, with the association particularly strong immediately after intervention.

Application of On-line System for Monitoring and Forecasting Surface Changes for Korean Peninsula

  • Lee, Sang-Hoon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.268-273
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    • 1998
  • This study applies an on-line system, which employes an adaptive reconstruction technique to monitor and forecast ocean surface changes. The system adaptively generates an appropriate synthetic time series with recovering missing measurements for sequential images. The reconstruction method incorporates temporal variation according to physical properties of targets and anisotropic spatial optical properties into image processing techniques. This adaptive approach allows successive refinement of the structure of objects that are barely detectable in the observed series. The system sequentially collects the estimated results from the adaptive reconstruction and then statistically analyzes them to monitor and forecast the change in surface characteristics.

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시계열 패턴을 이용한 인터넷 쇼핑몰에서의 구매시점 추천 (Buying Point Recommendation for Internet Shopping Malls Using Time Series Patterns)

  • 장은실;이용규
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2005년도 종합학술대회
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    • pp.147-153
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    • 2005
  • 최근 인터넷 쇼핑몰에서 상품을 구매하는 고객들에게 편의성과 효율성을 제공하기 위하여 구매자들의 선호도나 가격에 맞는 상품을 추천해 주는 연구들이 활발하게 진행되고 있지만추천된 상품들의 구매시점에 관한 연구는 찾아보기 어렵다. 이에 본 논문에서는 인터넷 쇼핑몰의 적극적인 마케팅 일환으로 판매가격의 흐름을 시계열 패턴으로 분석하여 상품의 구매시점 정보를 제공하는 방안을 제안한다. 이를 위하여 과거의 판매 기록 데이터베이스에 있는 판매가격의 기준이 되는 패턴과 유사한 변화를 보이는 패턴을 정규화된 유사도로써 검색하고, 검색된 가격 패턴을 기준으로 미래의 가격 패턴의 변화를 분석하여, 미래 가격 패턴의 변화 폭에 따라 상품에 대한 구매시점을 제공한다.

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시계열분석과 인공신경망을 이용한 실시간검색어 변화 예측 (Predicting changes of realtime search words using time series analysis and artificial neural networks)

  • 정민영
    • 디지털융복합연구
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    • 제15권12호
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    • pp.333-340
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    • 2017
  • 실시간검색어는 지금 바로 이슈가 되는 검색어의 검색 증가율이 단기간에 급상승하는 것을 중심으로 하기 때문에 일정기간 지속적으로 관심도를 유지하고 있는 이슈를 나타내지 못하고 이들이 가까운 미래에 어떤 변화를 보이는지에 대한 것도 알 수 없는 한계를 가지고 있다. 본 논문에서는 이러한 한계를 극복할 수 있도록 일정기간 동안 상위 10위 안에 속한 적이 있는 실시간검색어에 대해 일자별, 시간별 지속성을 평가하여 꾸준히 관심을 받는 검색어를 추출한다. 그런 다음, 이들 중 상위에 속하는 검색어의 관심도가 어떻게 변화하는지를 알 수 있게 하는 시계열 분석과 신경망을 이용하는 방법을 제시하고 이를 통해 도출한 실제 예를 통해 가까운 미래의 변화량을 예측한 결과를 보인다. 일자별로는 시계열 분석을, 시간별로는 인공신경망의 학습을 통해 예측하는 것이 좋은 결과를 보인다는 것을 알 수 있다.

LSTM과 Bi-LSTM을 사용한 비주기성 시계열 데이터 예측 성능 비교 분석 (Comparative Analysis of Prediction Performance of Aperiodic Time Series Data using LSTM and Bi-LSTM)

  • 이주형;홍준기
    • 한국빅데이터학회지
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    • 제7권2호
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    • pp.217-224
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    • 2022
  • 온라인 쇼핑의 대중화로 인해 많은 의류 상품이 온라인 쇼핑을 통해 소비된다. 의류 상품은 다른 상품과 달리 판매량이 일정하지 않고 날씨의 변화에 따라 판매량이 변화하는 특징이 있다. 따라서 의류 상품의 머신 러닝을 적용한 효율적인 재고 관리 시스템에 대한 연구는 매우 중요하다. 본 논문에서는 의류 업체 'A'로부터 실제 의류 상품 판매량 데이터를 수집하고 판매량 데이터와 같은 시계열 데이터의 예측에 많이 활용되는 LSTM(Long Short-Term Memory)과 Bidirectional-LSTM(Bi-LSTM)의 학습에 사용하여 LSTM과 Bi-LSTM의 판매량 예측 효율을 비교 분석하였다. 시뮬레이션 결과를 통해 LSTM 기술 대비 Bi-LSTM은 시뮬레이션 시간은 더 많이 소요되지만 의류 상품 판매량 데이터와 같은 비주기성 시계열 데이터의 예측 정확도가 동일하다는 것을 확인하였다.

기후변화에 따른 제주도 주변 해역 수산 어종 변화(1981-2010) (Multi-decadal Changes in Fish Communities Jeju Island in Relation to Climate Change)

  • 정석근;하승목;나한나
    • 한국수산과학회지
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    • 제46권2호
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    • pp.186-194
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    • 2013
  • We compiled and analyzed long-term time-series data collected in Korea to evaluate changes in oceanographic conditions and marine ecosystems near Jeju Island ($33^{\circ}00^{\prime}-34^{\circ}00^{\prime}\;N$, $125^{\circ}30^{\prime}-127^{\circ}30^{\prime}\;E$) from 1981 to 2010. Environmental data included depth-specific time series of temperature and salinity that have been measured bimonthly since 1961 in water columns at 175 fixed stations along 22 oceanographic lines in Korean waters by the National Fisheries Research & Development Institute, and time series of estimated volume transport of the Tsushima Warm Current (TWC) and Korea Strait Bottom Cold Water (KSBCW) for the period from 1961 to 2008. We analyzed the species composition in terms of biomass of fish species caught by Korean fishing vessels in the waters near Jeju Island (1981-2010). Data were summarized and related to environmental changes using canonical correspondence analysis (CCA). The CCA detected major shifts in fish community structure between 1982 and 1983 and between 1990 and 1992; the dominant species were a filefish during 1981-1992 and chub mackerel from 1992 to 2007. CCA suggested that water temperature and salinity in the mixed layer and the volume transport of the TWC and the KSBCW were significantly related to the long-term changes in the fish community in the waters off Jeju Island. Fish community shifts seemed to be related to the well-established 1989 regime shift in the North Pacific. Further studies are required to elucidate the mechanisms driving climate change effects on the thermal windows and habitat ranges of commercial species to develop fisheries management plans based on reliable projections of long-term changes in the oceanographic conditions in waters off Jeju Island.

Implementation of Fund Recommendation System Using Machine Learning

  • Park, Chae-eun;Lee, Dong-seok;Nam, Sung-hyun;Kwon, Soon-kak
    • Journal of Multimedia Information System
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    • 제8권3호
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    • pp.183-190
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    • 2021
  • In this paper, we implement a system for a fund recommendation based on the investment propensity and for a future fund price prediction. The investment propensity is classified by scoring user responses to series of questions. The proposed system recommends the funds with a suitable risk rating to the investment propensity of the user. The future fund prices are predicted by Prophet model which is one of the machine learning methods for time series data prediction. Prophet model predicts future fund prices by learning the parameters related to trend changes. The prediction by Prophet model is simple and fast because the temporal dependency for predicting the time-series data can be removed. We implement web pages for the fund recommendation and for the future fund price prediction.

구강 냉요법이 항암화학요법을 받는 부인암환자의 구내염, 활성산소, 염증성 사이토카인, 구강 안위감에 미치는 효과: 무작위대조군실험설계 (The Effects of Oral Cryotherapy on Oral Mucositis, Reactive Oxygen Series, Inflammatory Cytokines, and Oral Comfort in Gynecologic Cancer Patients Undergoing Chemotherapy: A Randomized Controlled Trial)

  • 신나연;강윤희
    • 대한간호학회지
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    • 제49권2호
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    • pp.149-160
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    • 2019
  • Purpose: The purpose of this study was to examine the effects of oral cryotherapy on oral mucositis, reactive oxygen series, inflammatory cytokines, and oral comfort in patients undergoing chemotherapy for gynecologic cancers. Methods: Participants were randomly assigned to the experimental group (n=25, receiving oral cryotherapy during chemotherapy) and the control group (n=25, receiving the usual care consisting of 0.9% normal saline gargles three times before meals). Oral mucositis was assessed using the oral assessment guide, while oral comfort was assessed using the oral perception guide. Reactive oxygen series was measured as total oxidant stress, and the level of two inflammatory markers, interleukin-6 (IL-6) and tumor necrosis factor-alpha ($TNF-{\alpha}$), were examined. The data were analyzed using t-test, chi-square test, Fisher's exact test, Mann-Whitney U-test, and repeated measures analysis of variance. Results: There was a significant difference in the oral mucositis score, reactive oxygen series score, $TNF-{\alpha}$ level, and oral comfort score between the two groups, and there were significant changes over time and in the group-by-time interactions. There was a significant difference in the IL-6 score between the two groups, but there were no significant changes over time or in the group-by-time interactions. Conclusion: The study results revealed that oral cryotherapy was more effective than the usual care regime of normal saline gargles for reducing oral mucositis, reactive oxygen series, and inflammatory cytokines and for improving oral comfort in gynecologic cancer patients undergoing chemotherapy.