• Korean Journal of Agricultural and Forest Meteorology
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• v.6 no.3
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• pp.149-163
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• 2004

Evapotranspiration (ET) is a critical component of the hydrologic cycle which influences economic activities as well as the natural ecosystem. While there have been numerous studies on ET estimation for homogeneous areas using point measurements of meteorological variables, monitoring of spatial ET has not been possible at landscape - or watershed - scales. We propose a site-specific application of the land surface model, which is enabled by spatially interpolated input data at the desired resolution. Gyunggi Province of South Korea was divided into a regular grid of 10 million cells with 30m spacing and hourly temperature, humidity, wind, precipitation and solar irradiance were estimated for each grid cell by spatial interpolation of synoptic weather data. Topoclimatology models were used to accommodate effects of topography in a spatial interpolation procedure, including cold air drainage on nocturnal temperature and solar irradiance on daytime temperature. Satellite remote sensing data were used to classify the vegetation type of each grid cell, and corresponding spatial attributes including soil texture, canopy structure, and phenological features were identified. All data were fed into a standalone version of SiB2(Simple Biosphere Model 2) to simulate latent heat flux at each grid cell. A computer program was written for data management in the cell - based SiB2 operation such as extracting input data for SiB2 from grid matrices and recombining the output data back to the grid format. ET estimates at selected grid cells were validated against the actual measurement of latent heat fluxes by eddy covariance measurement. We applied this system to obtain the spatial ET of the study area on a continuous basis for the 2001-2003 period. The results showed a strong feasibility of using spatial - data driven land surface models for operational monitoring of regional ET.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.12-30
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• 2009

The relationship between marine environmental improvement and environmental perception of the inhabitants was investigated. For this purpose, the seawater and bottom materials were analysed. Apart from this, the questionnaire surveys were also conducted around the Sun-so coastal area. In order to examine the improvement in the marine environment, 12 monitoring sites, which are located around Sun-so coast and can be divided into two parts such as inland (GW1-GW6) and outland (GW7-GW12) sea, were chosen. All the collected samples were analyzed to find out the quality of seawater (temperature, pH, salinity, dissolved oxygen: DO, chemical oxygen demand: COD and suspend solid: SS), nutrients (total nitrogen: TN and phosphate: $PO_4-P$) and bottom materials (COD, volatile solids: VS) as per the standard analytical procedures. In addition, the questionnaire mainly focused on the following three factors: 1) social economy, 2) dependent environmental awareness and 3) independent environmental awareness related with the environmental education. The monitoring studies indicated that the marine environment of the Sun-so coast showed various trends for analyzing parameter. No significant temporal changes in temperature, pH and salinity were observed. However, the other parameters showed decreasing (COD, SS, TN, $PO_4-P$ and VS) and increasing (DO) trends according to the quality of seawater and bottom materials. The questionnaire survey clearly showed that most of the residents in Sun-so recognized the improvement of marine environment as compared with the situation experienced in the past. The dredging project which is closely related with economic and living conditions of the local residents led to alter the environmental perceptions and attitudes. The survey also indicated that the inhabitants perceived the necessity of the environmental education (87% of respondents) and preferred regular schooling (55% of respondents) as effective and practical education methods.

• Earthquakes and Structures
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• v.13 no.4
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• pp.377-386
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• 2017

Earthquake-induced pounding damages to building structures were repeatedly observed in many previous major earthquakes. Extensive researches have been carried out in this field. Previous studies mainly focused on the regular shaped buildings and each building was normally simplified as a single-degree-of-freedom (SDOF) system or a multi-degree-of-freedom (MDOF) system by assuming the masses of the building lumped at the floor levels. The researches on the pounding responses between irregular asymmetric buildings are rare. For the asymmetric buildings subjected to earthquake loading, torsional vibration modes of the structures are excited, which in turn may significantly change the structural responses. Moreover, contact element was normally used to consider the pounding phenomenon in previous studies, which may result in inaccurate estimations of the structural responses since this method is based on the point-to-point pounding assumption with the predetermined pounding locations. In reality, poundings may take place between any locations. In other words, the pounding locations cannot be predefined. To more realistically consider the arbitrary poundings between asymmetric structures, detailed three-dimensional (3D) finite element models (FEM) and arbitrary pounding algorithm are necessary. This paper carries out numerical simulations on the pounding responses between a symmetric rectangular-shaped building and an asymmetric L-shaped building by using the explicit finite element code LS-DYNA. The detailed 3D FEMs are developed and arbitrary 3D pounding locations between these two buildings under bi-directional earthquake ground motions are investigated. Special attention is paid to the relative locations of two adjacent buildings. The influences of the left-and-right, fore-and-aft relative locations and separation gap between the two buildings on the pounding responses are systematically investigated.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1393-1399
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• 2018

Companies that use a variety of software use patch management systems provided by security vendor to manage security vulnerabilities of software to improve security. System administrators monitor the vendor sites that provide new patch information to maintain the latest software versions, but it takes a lot of cost and monitoring time to find and collect patch information because the patch cycle is irregular and the structure of web page is different. In order to reduce this, studies to automate patch information collection based on keyword or web service have been conducted, but since the structure to provide patch information in vendor site is not standardized, it was applicable only to specific vendor site. In this paper, we propose a system that automates the collection of patch information by analyzing the structure and characteristics of the vendor site providing patch information and using web crawler to reduce the cost and monitoring time consumed in collecting patch information.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.3
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• pp.1-14
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• 2019

North Korea has frequently suffered from extreme agricultural crop droughts, which have led to food shortages, according to the Food and Agriculture Organization (FAO). The increasing frequency of extreme droughts, due to global warming and climate change, has increased the importance of enhancing the national capacity for drought management. Historically, a meteorological drought index based on data collected from weather stations has been widely used. But it has limitations in terms of the distribution of weather stations and the spatial pattern of drought impacts. Satellite-based data can be obtained with the same accuracy and at regular intervals, and is useful for long-term change analysis and environmental monitoring and wide area access in time and space. The Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation, is being used to detect drought response as a index of the droughts occurring rapidly over short periods of time. It is more accurate and provides faster analysis of drought conditions compared to the Standardized Precipitation Index (SPI), and the Palmer Drought Severity Index (PDSI). In this study, we analyze drought events during 2015-2017 in North Korea using the ESI satellite-based drought index to determine drought response by comparing with it with the SPI and SPEI drought indices.

• Korean Journal of Veterinary Service
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• v.42 no.2
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• pp.53-60
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• 2019

This study was performed to investigate antimicrobial resistance in bacterial isolates obtained from companion dogs in veterinary hospitals and an animal shelter in Incheon. Drug resistance was examined respectively with the isolates of Escherichia coli, Enterococcus faecalis, and Staphylococcus pseudintermedius. The prevalence of drug resistance was calculated for each bacterial species towards 163 E. coli isolates, 156 E. faecalis isolates, and 86 S. pseudintermedius isolates by using selected antimicrobials. E. coli isolates were highly resistant to ampicillin, ciprofloxacin and tetracycline (47.9%, 28.2% and 28.2%, respectively). E. faecalis isolates were highly resistant to quinupristin-dalfopristin, tetracycline, kanamycin, rifampicin (69.8%, 66.0%, 53.8% and 51.9%, respectively). Higher levels of resistance were detected for ampicillin, penicillin, tetracycline, erythromycin, trimethoprim/sulfamethoxazole, telithromycin in S. pseudintermedius isolates (83.7%~52.6%, respectively). Occurrence of methicillin-resistant S. pseudintermedius (MRSP) was confirmed by oxacillin disc diffusion method, resulted in 23.3% occurrence among the S. pseudintermedius isolates (20/86 strains). The occurrence ratio of multidrug-resistance in the isolates of E. coli, E. faecalis, and S. pseudintermedius was 34.5%, 56.9%, and 67.9%, respectively. In this study, higher levels of antimicrobial drug resistance were observed in bacterial isolates obtained from dogs in Incheon. A regular monitoring and surveillance program should be implemented to prevent the emergence and spread of the drug-resistant bacteria carried in companion dogs.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.397-404
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• 2022

Recently, in the industrial field, various studies are being conducted on converging IIoT devices that combine low-power processes and network cards into industrial sites to improve production efficiency and reduce costs. In this paper, we propose a processing model that can efficiently manage products produced by attaching IIoT sensor information to infrastructure built in industrial sites. The proposed model creates production data using IIoT data collection, preprocessing, characteristic generation, and labels to detect abnormally processed sensing information in real time by checking sensing information of products produced by IIoT at regular intervals. In particular, the proposed model can easily process IIoT data by performing tracking and monitoring so that product information produced in industrial sites can be processed in real time. In addition, since the proposed model is operated based on the existing production environment, the connection with the existing system is smooth.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.911-917
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• 2023

In today's world, we find ourselves facing energy crises due to factors such as war and climate crises. To prepare for these energy crises, many researchers continue to study systems related to energy monitoring and conservation, such as energy management systems, energy monitoring, and energy conservation. In line with these efforts, nations are making it mandatory for energy-consuming facilities to implement these systems. However, these facilities, limited by space and energy constraints, are exploring ways to improve. This research explores the operation of a data collection system using low-performance embedded devices. In this context, it proves that an optimized version of RocksDB, a Key-Value store, outperforms traditional databases when it comes to time-series data. Furthermore, a comprehensive database evaluation tool was employed to assess various databases, including optimized RocksDB and regular RocksDB. In addition, heterogeneous databases and evaluations are conducted using a UD Benchmark tool to evaluate them. As a result, we were able to see that on devices with low performance, the time required was up to 11 times shorter than that of other databases.

• Journal of fish pathology
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• v.37 no.1
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• pp.97-110
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• 2024

The Serranidae is high-quality fish species with good meat quality and is traded at high price, and is attracting attention in South Korea as a cultured species that creates high added value. However, the high-density fish farming for mass production increases the risk of mass mortality due to infectious diseases, leading to enormous economic losses. Therefore, in order to safely prevent and protect farmed fish from serious infectious diseases, it is necessary to conduct disease monitoring on a regular basis. In this study, Hyporthodus septemfasciatus, Epinephelus moara, and the hybrid longtooth grouper (E. moara ♀×E. lanceolatus ♂) were collected once a month from fish farm of Garorim and Aquabiotech Co., Ltd for a total of six months, from July to December 2023. We investigated infections of five species of bacterial diseases, including Flavobacterium columnare, six species of viral diseases, including LCDV (lymphocystis disease virus), and parasitic pathogens in grouper farms. As the result, Vibrio vulnificus and V. harveyi were detected in H. septemfasciatus in August, in the case of viral diseases, NNV was detected in H. septemfasciatus from July to August using RT-PCR or PCR. Finally, In the case of parasitic diseases, Tricodina sp. was detected in E. moara and the hybrid longtooth grouper from August to December.

• The Journal of Internal Korean Medicine
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• v.45 no.3
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• pp.508-518
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• 2024

Objectives: To report a correlation of IL-6 of pancreatic cancer and cancer progression in three pancreatic cancer patients. Method: Three pancreatic cancer patients were monitored for changes in IL-6 levels, tumor markers (CEA, CA19-9), and clinical outcomes over their treatment period. Results: Patient 1's IL-6 levels rose with liver metastasis and tumor progression, coinciding with increases in tumor markers. Patient 2's IL-6 levels remained elevated during chemotherapy, correlating with tumor growth. Patient 3's IL-6 levels spiked prior to cancer progression. Conclusion: Elevated IL-6 levels were observed in advancing pancreatic cancer patients, suggesting IL-6 as a potential biomarker for monitoring cancer progression in pancreatic cancer. Regular IL-6 monitoring could improve prognostic evaluations and treatment strategies.