• Title/Summary/Keyword: Spatial-Temporal Pattern Analysis

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Spatio-temporal Load Analysis Model for Power Facilities using Meter Reading Data (검침데이터를 이용한 전력설비 시공간 부하분석모델)

  • Shin, Jin-Ho;Kim, Young-Il;Yi, Bong-Jae;Yang, Il-Kwon;Ryu, Keun-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.11
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    • pp.1910-1915
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    • 2008
  • The load analysis for the distribution system and facilities has relied on measurement equipment. Moreover, load monitoring incurs huge costs in terms of installation and maintenance. This paper presents a new model to analyze wherein facilities load under a feeder every 15 minutes using meter reading data that can be obtained from a power consumer every 15 minute or a month even without setting up any measuring equipment. After the data warehouse is constructed by interfacing the legacy system required for the load calculation, the relationship between the distribution system and the power consumer is established. Once the load pattern is forecasted by applying clustering and classification algorithm of temporal data mining techniques for the power customer who is not involved in Automatic Meter Reading(AMR), a single-line diagram per feeder is created, and power flow calculation is executed. The calculation result is analyzed using various temporal and spatial analysis methods such as Internet Geographic Information System(GIS), single-line diagram, and Online Analytical Processing (OLAP).

Spatio-temporal Distribution of Suicide Risk in Iran: A Bayesian Hierarchical Analysis of Repeated Cross-sectional Data

  • Nazari, Seyed Saeed Hashemi;Mansori, Kamyar;Kangavari, Hajar Nazari;Shojaei, Ahmad;Arsang-Jang, Shahram
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.2
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    • pp.164-172
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    • 2022
  • Objectives: We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016. Methods: In this repeated cross-sectional study, the age-standardized risk of suicide mortality from 2006 to 2016 was determined. To estimate the cumulative and temporal risk, the Besag, York, and Mollié and Bernardinelli models were used. Results: The relative risk of suicide mortality was greater than 1 in 43.0% of Iran's provinces (posterior probability >0.8; range, 0.46 to 3.93). The spatio-temporal model indicated a high risk of suicide in 36.7% of Iran's provinces. In addition, significant upward temporal trends in suicide risk were observed in the provinces of Tehran, Fars, Kermanshah, and Gilan. A significantly decreasing pattern of risk was observed for men (β, -0.013; 95% credible interval [CrI], -0.010 to -0.007), and a stable pattern of risk was observed for women (β, -0.001; 95% CrI, -0.010 to 0.007). A decreasing pattern of suicide risk was observed for those aged 15-29 years (β, -0.006; 95% CrI, -0.010 to -0.0001) and 30-49 years (β, -0.001; 95% CrI, -0.018 to -0.002). The risk was stable for those aged >50 years. Conclusions: The highest risk of suicide mortality was observed in Iran's northwestern provinces and among Kurdish women. Although a low risk of suicide mortality was observed in the provinces of Tehran, Fars, and Gilan, the risk in these provinces is increasing rapidly compared to other regions.

Analysis of Pattern Change of Real Transaction Price of Apartment in Seoul (서울시 아파트 실거래가의 변화패턴 분석)

  • Kim, Jung Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.1
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    • pp.63-70
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    • 2014
  • This study is to analyze impact of geography and timing on the real transactions prices of apartment complexes in Seoul using data provided by the Ministry of Land, Infrastructure and Transport. The average real transactions and location data of apartment complex was combined into the GIS data. First, the pattern of apartment real transaction price change by period and by area was analyzed by kriging, the one of the spatial interpolation technique. Second, to analyze the pattern of apartment market price change by administrative district(administrative 'Dong' unit), the average of market price per unit area was calculated and converted to Moran I value, which was used to analyze the clustering level of the real transaction price. Through the analysis, spatial-temporal distribution pattern can be found and the type of change can be forecasted. Therefore, this study can be referred as of the base data research for the housing or local policies. Also, the regional unbalanced apartment price can be presented by analyzing the vertical pattern of the change in the time series and the horizontal pattern of the change based on GIS.

Study on the Gait Characteristics in Knee Osteoarthritis Patients with GAITRite System Analysis (GAITRite 시스템 분석을 통한 퇴행성 슬관절염 환자의 보행특성 연구)

  • Hwang-Bo Gak;Kim Byung-jo;Bae Sung-soo
    • The Journal of Korean Physical Therapy
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    • v.16 no.1
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    • pp.183-207
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    • 2004
  • The purpose of this study was to describe and compare the temporo-spatial gait characteristics of healthy elderly people with those osteoarthritis patients. 100 patients reported knee osteoarthritis, diagnosed at the hospital or clinic located in Daegu and Kyungbuk province and 100 normal elderly subjects were participated in this study. Temporal and spatial parameters of gait were analysed for using the computerized GAITRite system. The system integrates specific components of locomotions to provide a single, numerical representation of gait, the Functional Ambulation Performance score. Differences in gait characteristics between the two groups were examined using a correlated t-test and Pearson Correlation(p<.05). Significant differences were observed between the groups for temporal parameters(step time, double support time, stance phase, mean velocity) and spatial parameters(step length, step/extremity ratio)(p<.05). Also there was difference in the functional ambulation performance score between normal elderly subjects and knee osteoarthritis patients(p<.05). Consequently, it may help detect the abnormal gait pattern indicated the main problem in degenerative knee osteoarthritis patients as well as provide data analysing the pathokinesiologic components by comparing normal elderly.

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Spatial-Temporal Frough Analysis of South Korea Based On Neural Networks (신경망을 이용한 우리나라의 시공 간적 가뭄의 해석)

  • 신현석
    • Proceedings of the Korea Water Resources Association Conference
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    • 1998.05b
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    • pp.7-13
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    • 1998
  • A methodology to analyze and quantify regional meteorological drough based on annual precipitation data has been introduced in this paper In this study, based on posterior probability estimator and Bayesian classifier in Spatial Analysis Neural Network ISANN), point drought probabilities categorized as extreme, severe, mild, and non drought events has been defined, and a Bayesian Drought Severity Index (BPSI) has been introduced to classify the region of interest into four drought serverities. For example, the proposed methodology has been applied to analyze the regional drought of South Korea. This is a new method to classify and quantify the spatial or regional drought based on neural network pattern recognition technique and the results show that it may be apprepriate and valuable to analyze the spatial drought.

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Movement Analyzing of Soil Moisture at a Hillslope Scale Considering Spatial-Temporal and Seasonal Characteristics (시공간적, 계절적 특성을 고려한 사면에서의 토양수분의 거동파악)

  • Oh, Kyung-Jun;Kwak, Yong-Seok;Do, Hoon-Kim;Kim, Sang-Hyun;Kim, Hyun-Jun;Kim, Nam-Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.678-682
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    • 2006
  • In order to analyze movement of soil moisture, Time Domain Reflectometry(TDR) with multiplex system has been installed at the Bumreunsa hillslope of Sulmachun Watershed to configure spatial-temporal variation pattern considering seasonal characteristic. An intensive surveying was performed to build a refined digital elevation model(DEM) and flow determination algorithms with inverse surveying have been applied to establish an efficient soil moisture monitoring system. Soil moisture data were collected through an intensive and long term monitoring 380 hrs in November of 2003 and 1037 hrs in May and June of 2004. Soil moisture data shows corresponding variation characteristics of soil moisture on the up slope, buffer, main channel zones of the hillslope which were classified from terrain analysis. Inferences and limitations of measured soil moisture data were discussed in conjunction with flow characteristic through terrain analysis.

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Temporal and Spatial Variations of SL/SST in the Korean Peninsula by Remote Sensing (원격탐사를 이용한 한반도 주변해역의 해수면/해수온의 시·공간변동 특성 연구)

  • Oh, Seung-Yeol;Jang, Seon-Woong;Kim, Dae-Hyun;Yoon, Hong-Joo
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.2
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    • pp.333-345
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    • 2012
  • NOAA/AVHRR, Topex/Poseidon, and Jason-1 data were used to analyze sea surface temperatures and thermal fronts in the North East Asia Seas. Temporal and spatial analyses were based on data from 1993 to 2008. The amplitude and phase for the annual mode on SL and SST were investigated with harmonic analysis. The geographical distribution of amplitudes for comparison of SL and SST are slightly reverse in southwest-northeast tilted direction. The time series analysis conducted on the entire researched area presented consistent pattern. Peak of Sea Level was presented 1~2 months after the peak of the surface sea temperature was shown. This explains that Sea Level change occurs after the generation of surface sea temperature change in sea. The Sobel edge detection method delineated four fronts. Thermal fronts generally occurred over steep bathymetric slopes. Annual amplitudes and phases were bounded within these frontal areas.

Crank Angle Analysis

  • Gade, Svend;Hald, Jorgen
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.1040-1043
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    • 2001
  • This paper describes the principle behind Crank Angle Analysis, as implemented by Bruel & Kjaer in the Non-Stationary Spatial Transformation of Sound Fields (NS-STSF) system. The NS-STSF system combines a Time Domain Holography measurement on for example an engine with two simultaneously recorded Tacho signals. The Tacho signals provide the crankshaft angle and the RPM at the instant of each instantaneous output (snap-shot) from Time Domain Holography. As a result, the system allows precise analysis of the temporal and spatial relation between the acoustical emission (or the vibration pattern) and the mechanical events during an engine cycle. Some results from a measurement on a DaimlerChrysler engine are presented.

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An Analysis on the Change Pattern of Spatio-Temporal Land Price in Gongju City Using the Geostatistical Methods (공간통계를 이용한 공주시의 시공간적 지가변화패턴 분석)

  • Kim, Jung-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.1
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    • pp.93-99
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    • 2012
  • This study aims to identify spatio-temporal land price change pattern in Gongju city including the area incorporated and surrounding area depending on the Multifunctional Administrative City Construction. For this, GIS data was built by calculating the average land price each 209 Dong and Ri by the time of the year 2000, 2005 and 2010 based on. The first, the change in the land price was to identify in the 5-year intervals through a kriging interpolation as a kind of geostatistical techniques. The second, a trend analysis was conducted to know directional change pattern of the east-west axis and the north-south axis. Finally, the weighted mean center was calculated by the land price at a weight to examine moving direction on the center point of land price, point of view. The result is that the land price change pattern appeared visible higher growth on the eastern built in the Multifunctional Administrative City, moving direction on the center point of the land price appeared that the phenomenon was concentrated in the northeastern area.

Analysis of Spatial Crime Pattern and Place Occurrence Characteristics for Building a Safe City (안전도시 조성을 위한 범죄의 공간적 분포와 도시의 장소별 발생특성 분석)

  • Heo, Sun-Young;Moon, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.4
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    • pp.78-89
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    • 2012
  • The purpose of this study is to examine the possibility of crime prevention in consideration of urban physical environment by analyzing the spatial distribution characteristics and pattern using actual crime occurrence data of the case city. The crime data was rebuilt by transforming them into geographic information system to analyze the spatial aspect of crime occurrence. The findings are as follows: a change from 2008 to 2011 is indicated with similar trend. But the local movements of crime hot spots are found. Moreover crimes were happening along the roads in linear pattern rather than inside of blocks in commercial area. This indicates the importance of environmental improvement of roads and open spaces. In addition it was found that the crime occurrence in a dangerous district can be reduced and prevented through the physical environment design and urban planning. The findings will contribute to promoting fundamental crime prevention as the physical environmental improvement in a city and to building a safe community as its result.