• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.467-472
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• 2016

In this study, we propose an Energy-Aware Web service to optimize energy efficiency using the characteristics of the system load. Currently, the service scale of data center is growing and the range of its applications is enlarged, causing interest in energy conservation. In particular, the web service has the largest proportion among various services of the data center. We propose a new energy saving method for web services guaranteeing the performance requirements of the services. The proposed method is optimized through the differences of energy-consumption rate over the system load. Performance evaluation has been performed under conditions similar to the actual service. The results indicated that the maximum energy reduction by the proposed method is up to 30% better than the existing methods.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.4
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• pp.15-27
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• 2024

Ecosystem-disturbing plant species pose a significant threat to native ecosystems due to their high reproductive capacity, making it essential to monitor their distribution and develop effective mitigation strategies. Consequently, it is crucial to enhance the evaluation of the impacts of these species in environmental impact assessments by incorporating scientific evidence alongside qualitative assessments. This study introduces a dispersal model into the species distribution model to simulate the potential spread of ecosystem-disturbing plant species, reflecting their ecological characteristics. Additionally, we developed mitigation scenarios and quantitatively calculated reduction rates to propose effective mitigation strategies. The species distribution model showed a reliable AUC (Area Under the Curve) of at least 0.890. The dispersal model's results were also credible, with 31 out of 34 validation coordinates falling within the predicted spread range. Simulating the impact of the spread of ecosystem-disturbing plant species over the next five years revealed that one project site had potential habitats for Ambrosia artemisiifolia, necessitating robust mitigation measures such as seed removal. Another project site, with potential habitats for Symphyotrichum pilosum, indicated that physical removal methods within the site were effective due to the species' relatively short dispersal distance. These findings can serve as fundamental data for project executors and reviewers in evaluating the impact of the spread of ecosystem-disturbing plant species during the planning stages of projects.

• Asian Journal of Turfgrass Science
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• v.25 no.1
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• pp.89-93
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• 2011

This study was conducted to evaluate the effects of bastnasite nitrate fertilizer (BNF) on the growth of creeping bentgrass. Fertilizer treatments were designed as follows; non-fertilizer (NF), control (CF; compound fertilizer), RE-l (CF+0.3 $g{\cdot}m^{-2}$BNF), RE-2 (CF+0.5 $g{\cdot}m^{-2}$BNF), RE-3 (CF+1.0 $g{\cdot}m^{-2}$BNF) and RE-4 (0.5 $g{\cdot}m^{-2}$BNF). Every treatment was arranged in a randomized complete block design with three replications. In creeping bentgrass, turf qualities such as turf color index and chlorophyll index, shoot number, clipping dry weight and nutrients of tissue were measured. It was hardly affected by BNF application in investigation of chemical properties of the soil. By applying BNF, turf color index and chlorophyll index in RE-2 were increased 3.9% and 9.2% more than NF. As applied BNF on creeping bentgrass, shoot number was increased 9% in RE-4 more than NF and 22% in RE~2 more than CF. It was increased in N uptake and clipping dry weight of creeping bentgrass by supplying BNF. These results indicated that the BNF application promoted a turf qualities and a growth of creeping bentgrass by advancing N uptake and shoot number.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.2
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• pp.43-50
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• 2018

Biometric information computing is greatly influencing both a computing system and Big-data system based on the bio-information system that combines bio-signal sensors and bio-information processing. Unlike conventional data formats such as text, images, and videos, biometric information is represented by text-based values that give meaning to a bio-signal, important event moments are stored in an image format, a complex data format such as a video format is constructed for data prediction and analysis through time series analysis. Such a complex data structure may be separately requested by text, image, video format depending on characteristics of data required by individual biometric information application services, or may request complex data formats simultaneously depending on the situation. Since previous bio-information processing computing systems depend on conventional computing component, computing structure, and data processing method, they have many inefficiencies in terms of data processing performance, transmission capability, storage efficiency, and system safety. In this study, we propose an improved biosensing converged big data computing architecture to build a platform that supports biometric information processing computing effectively. The proposed architecture effectively supports data storage and transmission efficiency, computing performance, and system stability. And, it can lay the foundation for system implementation and biometric information service optimization optimized for future biometric information computing.

• Journal of The Korean Association For Science Education
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• v.34 no.6
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• pp.601-611
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• 2014

The purpose of this study is to analyze the Korean science magazine, Science Donga providing scientific facts, phenomenons, and issues with infographic for the readers by time series analysis and to search for the application of infographic on the science education. The criteria for the infographic analysis of Science Donga consisted of three categories such as storytelling type, visual perception, and framework level because infographic presents complex information quickly and clearly by integrating various images, words, and graphics. We found that the articles emphasized by including image about science issue have been published from 1986 to 2014. Particularly, after 2008, the articles including infographic sharply rose. So we set up 2008 as $T_c$(Critical time point). The articles including infographic after 2008 have been more variously distributed and frequently used in storytelling types category such as location, time, number, connection, function, and process based infographic, in visual perception of Gestalt Theory such as proximity, similarity, continuation, and closure than before 2008. Lastly, in framework level category, location, time, number, and process based infographic mainly had total range level but function and connection based infographic changed in the framework level. The three features about storytelling type, visual perception, framework level are important changes to influence $T_c$ in the infographic analysis about Science Donga. Through the results of this study, we analyzed the feature of change on infographic from 1986 to 2014. Thus, we hope that the results suggest a basic criteria for making materials including infographic in science education.

• Journal of Bio-Environment Control
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• v.21 no.4
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• pp.411-418
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• 2012

This study was conducted to investigate the effect of calcinated calcium (CC) alone or combination with heat treatment on storage quality and microbial growth in fresh-cut broccoli. Fresh broccoli samples were cut into small pieces and washed in normal tap water (TW), $50{\mu}L{\cdot}L^{-1}$ chlorinated water (pH 6.5), $1.5g{\cdot}L^{-1}$ CC, heat treatment in TW at $45^{\circ}C$, and CC dissolved in TW at $45^{\circ}C$ for 2 minutes separately. Samples were then packaged in $50{\mu}m$ polyethylene bags and stored at $5^{\circ}C$. Results revealed that like $50{\mu}L{\cdot}L^{-1}$ chlorine, washing in CC at normal water temperature was effective in reducing microbial population in fresh-cut broccoli samples. Washing with CC combined with heat treatment increased an electrical conductivity of fresh-cut broccoli. Combined heat treatments with TW and CC reduced aerobic plate count on fresh-cut broccoli, only in initial period of storage. But, later on heat treatment induced injury of fresh-cut broccoli resulting more microbial population compared to non heat treatment. However, samples treated with CC alone had good quality with low off-odor at the end of storage. Results suggest that CC, an environment-friendly sanitizer could be an alternative to chlorinated water for washing of fresh-cut broccoli without affecting sensorial quality.

• Journal of Life Science
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• v.17 no.3 s.83
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• pp.435-443
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• 2007

Antimicrobial susceptibility test of the 116 strains of Mycoplasma pneumoniae isolates were performed by a broth micro-dilution method against to moxifloxacin, levofloxacin, sparfloxacin, ofloxacin, ciprofloxacin, clarithromycin minocycline, erythromycin, josamycin, and tetracycline. The initial-minimum inhibitory concentration (I-MIC) was evaluated as the lowest concentration of antimicrobial agents that prevented a color change in the medium at that time when the drug-free growth control, about 7 days after incubation, and the final-minimum inhibitory concentration (F-MIC) was defined a color change about 14 days after incubation. The evaluation to the drug-resistant M. pneumoniae isolates were determined the $MIC{\pm}1.0$ ${\mu}g/ml$ of each antimicrobial agent. According to the I-MIC, single drug-resistant M. pneumoniae strains to ciprofloxacin, ofloxacin, clarithromycin and erythromycin were 79.3, 53.5, 10.3, and 7.8%, respectively. Two kinds of drug-resistant M. pneumoniae strains to ofloxacin and ciprofloxacin, or ciprofloxacin and clarithromycin were 42.2 and 9.5%. Three kinds of drug-resistant M. pneumoniae strains to erythromycin, ofloxacin, and ciprofloxacin, or ofloxacin, ciprofloxacin and clarithromycin were 6.9 and 6.0% . According to the F-MIC, single drug-resistant M. pneumoniae strains to tetracycline, ciprofloxacin, ofloxacin, minocycline,erythromycin, josamycin, clarithromycin and sparfloxacin were 91.4, 91.4, 91.4, 89.7, 68.1, 52.6, 28.5, and 11.2%, respectively. The incidence of two kinds of drug-resistant M. pneumoniae strains were from 20.7% to 91.4%, three kinds of drug-resistant M. pneumoniae strains were from 28.5% to 89.7%, four kinds of drug-resistant M. pneumoniae strains were 2.6%, five kinds of drug-resistant M. pneumoniae were from 2.6% to 21.6%, six kinds of drug-resistant M. pneumoniae strains were from 0.9% to 24.1%, seven kinds of drug-resistant M. pneumoniae strains were from 0.9% to 2.6%, and eight kinds of drug-resistant M. pneumoniae strains were 1.7%. These results suggest that sparfloxacin, moxifloxacin and levofloxacin might be promising antimicrobial agents for the treatment of M. pneumoniae infection in Korea. However, most strains of M. pneumoniae isolates were single or multi-resistance pattern to the other tested antimicrobial agents. Therefore, tetracycline, minocycline, erythromycin, clarithromycin, and second-generation quinolones are more carefully used to patients with M. pneumoniae infection in Korea.