• Fisheries and Aquatic Sciences
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• v.21 no.12
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• pp.38.1-38.9
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• 2018

Alzheimer's disease (AD) is a disturbing and advanced neurodegenerative disease and is characterized pathologically by the accumulation of amyloid beta ($A{\beta}$) and the hyperphosphorylation of tau proteins in the brain. The deposition of $A{\beta}$ aggregates triggers synaptic dysfunction, and neurodegeneration, which lead to cognitive disorders. Here, we found that FF isolated from an eatable perennial brown seaweed E.bicyclis protect against $A{\beta}$-induced neurotoxicity in neuroblastoma cells stably transfected with two amyloid precursor protein (APP) constructs: the APP695 cDNA (SH-SY5Y-APP695swe). The FF demonstrated strong inhibitory activity for ${\beta}$-secretase ($IC_{50}$ $16.1{\mu}M$) and its inhibition pattern was investigated using Lineweaver-Burk and Dixon plots, and found to be non-competitive. Then, we tested whether FF could inhibit production of $A{\beta}$ in SH-SY5Y-APP695swe. FF inhibited the production of $A{\beta}$ and soluble-APP, residue of APP from cleaved APP by ${\beta}$-secretase. Our data show that FF can inhibit the production of $A{\beta}$ and soluble-$APP{\beta}$ via inhibition of ${\beta}$-secretase activity. Taken together these results suggest that FF may be worthy of future study as an anti-AD treatment.

• Spatial Information Research
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• v.20 no.1
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• pp.91-103
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• 2012

Recently, there has been much interest in the middleware that can smoothly acquire and analyze Geosensor information which includes sensor readings, location, and its surrounding spatial information. In relation to development of the middleware, researchers have proposed various algorithms for energy-efficient information filtering in Geosensor networks and have proposed Geosensor web technologies which can efficiently mash up sensor readings with spatial information on the web, also. The filtering algorithms and Geosensor Web technologies have contributions on energy-efficiency and OpenAPI, however the algorithms and technologies could not support easy and rapid development of u-GIS applications that need various Geosensor networks. Therefore, we propose a new Geosensor network middleware that can dramatically reduce the time and cost required for development of u-GIS applications that integrate heterogeneous Geosensor networks. The proposed middleware has several merits of being capable of acquiring heterogeneous Geosensor information using the standard SWE and an extended SQL, optimally performing various attribute and spatial operators, and easily integrating various Geosensor networks. Finally, we clarify our middleware's distinguished features by developing a prototype that can monitor environmental information in realtime using spatial information and various sensor readings of temperature, humidity, illumination, imagery, and location.

• Spatial Information Research
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• v.22 no.5
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• pp.9-18
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• 2014

According to the recent development of the ubiquitous computing environment, the use of spatio-temporal data from sensors with GPS is increasing, and studies on the Semantic Sensor Web using spatio-temporal data for providing different kinds of services are being actively conducted. Especially, the W3C developed the SSNO(Semantic Sensor Network Ontology) which uses sensor-related standards such as the SWE(Sensor Web Enablement) of OGC and defines classes and properties for expressing sensor data. Since these studies are available for the query processing about non-spatio-temporal sensor data, it is hard to apply them to spatio-temporal sensor data processing which uses spatio-temporal data types and operators. Therefore, in this paper, we developed the SWE based on SSNO which supports the spatio-temporal sensor data types and operators expanding spatial data types and operators in "OpenGIS Simple Feature Specification for SQL" by OGC. The system receives SensorML(Sensor Model Language) and O&M (Observations and Measurements) Schema and converts the data into SSNO. It also performs the efficient query processing which supports spatio-temporal operators and reasoning rules. In addition, we have proved that this system can be utilized for the web service by applying it to a virtual scenario.

• The Korean Journal of Food And Nutrition
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• v.17 no.4
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• pp.368-373
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• 2004

Optimal extraction conditions were established from the difference of quality characteristics according to extraction conditions of Ssangwha extracts(SWE). Extract yields of SWE obtained from the established extraction conditions were as follows. The maximum yield was 48.90% at extraction temperature 90$^{\circ}C$ and alcohol concentration 50%, extraction yield and alcohol concentration of extraction solvent was proportioned. Increase of extraction yields at extraction temperature 80∼90$^{\circ}C$ and more than alcohol concentration 30% had slowdown tendency according to increase of alcohol concentration. At this view point, the optimum extraction conditions were alcohol concentration 30% and more than extraction temperature 80$^{\circ}C$. In this study, optimal extraction conditions of SWE were extraction temperature 90$^{\circ}C$ and alcohol concentration 30%.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.705-707
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• 2012

여러 형태의 재난, 방범, 사고로부터 사회의 가장 기본 조직인 가정의 안전을 보호하기위해 가정 내 홈 안전센서를 설치하여 모니터링하는 등의 안전서비스가 매우 중요해지고 있다. 또한 핵가족화의 확산으로 가정의 개념이 분산화됨에 따라 개방형 방식으로 이를 관리할 수 있는 방식인 OGC의 SWE 표준에 기반한 홈 안전서비스를 위한 SensorML를 설계한다.

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.233-233
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• 2021

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.232-232
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• 2021

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.204-204
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• 2021

• Journal of Korea Water Resources Association
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• v.36 no.5
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• pp.777-785
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• 2003

A numerical model for the solution of two-dimensional free surface flow is developed on unstructured grid. By using fractional step method, the two-dimensional shallow water equations (SWE) are treated as two one-dimensional problems. Thus, it is possible to simulate computational hydraulic problems with higher computational efficiency. The one-dimensional problems are solved using upwind TVD version of second-order Weighted Averaged Flux (WAF) scheme with HLLC approximate Riemann solver. The numerical oscillations which are common with second-order numerical scheme are controlled by exploiting WAF flux limiter, Some idealized test problems are solved using this model and very accurate and stable solutions are obtained. It can be concluded as an efficient implement for the computation of SWE including dam break problems that concerning discontinuities, subcritical and supercritical flows and complex domain.

• Journal of the Korea Computer Graphics Society
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• v.25 no.5
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• pp.21-30
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• 2019

We propose a physical simulation method based on the shallow water equation(SWE) to represent water surface effectively. In this paper, the water which can be represented has a much larger width compared to the depth does not have a large vertical direction flow. In order to calculate the water flow efficiently, we start with the shallow water equation as the governing equation, which is a simplified version of the Navier-Stokes equation. In order to numerically calculate the advection term of the SWE, we introduce a new conservtive USCIP(CUSCIP) method which improves the Constrained Interpolation Profile (CIP) method to preserve the physical quantity while increasing the numerical accuracy. The proposed method is based on Kim et. al.'s Unsplit Semi-lagrangian CIP[9], and calculates advection term with additional constraints on term that consider integral values. The experimental results show that the CUSCIP method is robust to the loss of physical quantity due to numerical dissipation, which improves wave detail and persistence.