• Journal of the Korean Professional Engineers Association
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• v.44 no.2
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• pp.23-28
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• 2011

The assumption that the spatiotemporal distribution of rainfall has stationarity for a long period is not realistic due to frequent unusual weather phenomena. Based on the understanding of the situation, this paper investigates the effects of it to hydraulic structures especially dams and deals measures for it.

• Journal of Wetlands Research
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• v.14 no.2
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• pp.303-315
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• 2012

This study developed a wetland inventory describing the characteristics and change of Nakdong estuary wetland ecosystem. The data which are used to develop the inventory are Landsat TM(April 1, 1986; June 23, 1987; June 18, 1997), Kompsat(Jan. 12, 2008) and LiDAR(March 1, 2009) images and published monitoring data of Busan metropolitan city. The developed inventory was utilized for the classification of wetland cover, the spatiotemporal analysis of wetland and landscape pattern, the distribution of benthos species etc. Furthermore, the developed 3 dimensional wetland map showed a better way to delineate wetland boundary and understand wetland dynamics. Considering these results, it's concluded that it is possible to use the similar techniques for the development of wetland inventory in Korea.

• Advances in nano research
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• v.12 no.3
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• pp.319-336
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• 2022

Evaluating the temporal and spatial changes in the ecosystem service value (ESV) of the Sanjiangyuan Nature Reserve is important for understanding the impact of human activities on natural ecosystem and guiding ecosystem restoration and environmental pollution control. In this study, remotely sensed land-cover data and the equivalent factor method were used to analyze the spatiotemporal evolution characteristics of the ESV in Sanjiangyuan Nature Reserve from 1992 to 2015, and regression analysis was employed to determine the factors driving changes in the ESV. The results show that grassland was the main type of ecosystem in the study area, and the transformation of grassland into bare areas was the primary change in land cover. Additionally, the ESV in the study area first decreased and then increased, with an annual growth rate of 0.69%. The ESV mainly increased in the north of the Yellow River's source area, and mainly decreased in the northwest of the Yangtze River's source area. Finally, the gross output value of agriculture, urbanization rate and proportion of secondary industry were found to be the main factors driving the ESV in the study area.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.63-69
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• 2009

Climate change has influenced on various sectors including ecosystem, water resource, natural hazards and health and so on. Thus, it is essential to more accurately assess climate change impact and prepare adaptation strategy. However, it is difficult to assess for climate change impact on various sectors with integrated form due to various data format by sectors. In this study, we prepared criteria and indicators for assessing climate change impact and integrated GIS based data which in correspond to indicators based on spatio-temporal information using GIS. Finally we suggest a guideline to assess vulnerability of each sectors to climate change based on integrated spatio-temporal information.

• The Journal of the Society of Stroke on Korean Medicine
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• v.14 no.1
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• pp.80-89
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• 2013

■ Objectives The aim of study is to analyze the change of gait pattern by arm sling in a hemiplegic patient. ■ Methods We analyzed the change of gait pattern under three conditions using Treadmill Gait analysis equipment(Zebris Co.Ltd FDM-T) First, the patient didn't have arm sling on her upper limb, second, the patient have arm sling on her affected upper limb, third, patient have arm sling on her unaffected upper limb. ■ Results In terms of spatiotemporal gait values, swing phase, step time, step length of unaffected lower limb increased. Furthermore, stride time and stride length also increased when the patient had arm sling on her unaffected upper limb. In terms of displacement of Center of pressure(CoP), anterior/posterior position and lateral symmetry of CoP increased. Furthermore, lateral symmetry of decreased when the patient had arm sling on her affected upper limb. ■ Conclusion Arm sling applied on affected side would be advantage to gait improvement in hemiplegic patients.

• The Journal of Internal Korean Medicine
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• v.41 no.2
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• pp.194-203
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• 2020

Objectives: This study aimed to compare the gait patterns of cerebellar infarction patients with those of corticospinal tract stroke patients through a follow-up of patients with ataxic gait due to cerebellar infarction and corticospinal tract stroke. Methods: We investigated two cases of patients with cerebellar infarction and two cases each of acute or chronic corticospinal tract stroke who were hospitalized at Wonkwang University Gawangju Medical Center from September 1, 2017 to February 15, 2020 based on medical records and gait analyses. The spatiotemporal gait parameters of each patient were measured three times at 2-week intervals except those of the chronic corticospinal tract stroke patients, which were measured twice at a 1-month interval. Results: Spatiotemporal gait parameters, which include velocity, cadence, step length, stride length, and single support, were consistently increased in the cerebellar infarction patients in comparison to the corticospinal tract stroke patients. The stance phase was decreased in all the patients. Conclusions: The cerebellar infarction patients' gait spatiotemporal parameters were found to consistently improve. Moreover, gait analysis can be used to effectively measure improvement of ataxic gait.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.307-316
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• 2009

In this paper, the spatiotemporal data mining methodology for detecting a cycle of power consumption pattern with the change of time and spatial was proposed, and applied to the power consumption data collected by GIS-AMR system with an aim to use its resulting knowledge in real world applications. First, partial clustering method was applied for cluster analysis concerned with the aim of customer's power consumption. Second, the patterns of customer's power consumption data which contain time and spatial attribute were detected by 3D cube mining method. Third, using the calendar pattern mining method for detection of cyclic patterns in the various time domains, the meanings and relationships of time attribute which is previously detected patterns were analyzed and predicted. For the evaluation of the proposed spatiotemporal data mining, we analyzed and predicted the power consumption patterns included the cycle of time and spatial feature from total 266,426 data of 3,256 customers with high power consumption from Jan. 2007 to Apr. 2007 supported by the GIS-AMR system in KEPRI. As a result of applying the proposed analysis methodology, cyclic patterns of each representative profiles of a group is identified on time and location.

• Applied Science and Convergence Technology
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• v.26 no.4
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• pp.74-78
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• 2017

The discharge characteristics of the radio frequency (RF) surface dielectric barrier discharge have been simulated for the investigation of the ratio of the ion transit time to the RF period. From one-dimensional particle-in-cell (PIC) simulation for a planar dielectric barrier discharge (DBD), it was observed that the high-frequency driving voltage confines the ions in the plasma because of a shorter RF period than the ion transit time. For two-dimensional surface dielectric barrier discharges, a fluid simulation is performed to investigate the characteristics of RF discharges from 1 MHz to 40 MHz. The ratio of the peak density to the average density decreases with the increasing frequency, and the spatiotemporal discharge patterns change abruptly with the change in the ratio of ion transit time to the RF period.

• Journal of Climate Change Research
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• v.9 no.1
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• pp.103-115
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• 2018

The uncertainty of climate scenarios, as initial information, is one of the significant factors among uncertainties of climate change impacts and vulnerability assessments. In this sense, the quantification of the uncertainty of climate scenarios is essential to understanding these assessments of impacts and vulnerability for adaptation to climate change. Here we quantified the precision of surface temperature of ensemble scenarios (high resolution (1km) RCP4.5 and 8.5) provided by Korea Meteorological Administration, with spatiotemporal variation of the standard deviation of them. From 2021 to 2050, the annual increase rate of RCP8.5 was higher than that of RCP4.5 while the annual variation of RCP8.5 was lower than that of RCP4.5. The standard deviations of ensemble scenarios are higher in summer and winter, particularly in July and January, when the extreme weather events could occur. In general, the uncertainty of ensemble scenarios in summer were lower than those in winter. In spatial distribution, the standard deviation of ensemble scenarios in Seoul Metropolitan Area is relatively higher than other provinces, while that of Yeongnam area is lower than other provinces. In winter, the standard deviations of ensemble scenarios of RCP4.5 and 8.5 in January are higher than those of December. Especially, the standard deviation of ensemble scenarios is higher in the central regions including Gyeonggi, and Gangwon, where the mean surface temperature is lower than southern regions along with Chungbuk. Such differences in precisions of climate ensemble scenarios imply that those uncertainty information should be taken into account for the implementation of national climate change policy.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.210-222
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• 2011

In this work, we study the problem of privacy-preservation data publishing in moving objects databases. In particular, the trajectory of a mobile user in a plane is no longer a polyline in a two-dimensional space, instead it is a two-dimensional surface of fixed width $2A_{min}$, where $A_{min}$ defines the semi-diameter of the minimum spatial circular extent that must replace the real location of the mobile user on the XY-plane, in the anonymized (kNN) request. The desired anonymity is not achieved and the entire system becomes vulnerable to attackers, since a malicious attacker can observe that during the time, many of the neighbors' ids change, except for a small number of users. Thus, we reinforce the privacy model by clustering the mobile users according to their motion patterns in (u, ${\theta}$) plane, where u and ${\theta}$ define the velocity measure and the motion direction (angle) respectively. In this case, the anonymized (kNN) request looks up neighbors, who belong to the same cluster with the mobile requester in (u, ${\theta}$) space: Thus, we know that the trajectory of the k-anonymous mobile user is within this surface, but we do not know exactly where. We transform the surface's boundary poly-lines to dual points and we focus on the information distortion introduced by this space translation. We develop a set of efficient spatiotemporal access methods and we experimentally measure the impact of information distortion by comparing the performance results of the same spatiotemporal range queries executed on the original database and on the anonymized one.