• International Journal of Oral Biology
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• v.46 no.2
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• pp.94-97
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• 2021

The purpose of this study was to introduce a new in vitro method for evaluating the antimicrobial activity of toothpaste, reflecting the actual toothbrushing time and the dilution of toothpaste by salivation. We designed three experimental groups and one negative control group. The experimental groups were (1) 90 μL of toothpaste + 10 μL 1X phosphate-buffered saline (PBS, 9/10 dilution group), (2) 50 μL of toothpaste + 40 μL 1X PBS (1/2 dilution group), and (3) 25 μL of toothpaste + 65 μL 1X PBS (1/4 dilution group). During toothbrushing, saliva is continuously secreted into the oral cavity and the toothpaste concentration is diluted over time during toothbrushing. Therefore, the 1/2 and 1/4 dilution experimental groups were added. The negative control group was toothpaste diluted 20,000-fold with 1X PBS. Miracle Fresh Doctor toothpaste and Streptococcus mitis KCOM 1350, Prevotella intermedia KCOM 1107, Fusobacterium nucleatum subsp. polymorphum KCOM 1322, and Aggregatibacter actinomycetemcomitans KCOM 1306 were used as the toothpaste and target bacterial strains, respectively. The number of bacterial cells plated on agar plates in the negative control group was 1,000 CFU. If the number of colonies on the experimental group plate was less than one, the treatment was considered to have > 99.9% bactericidal activity. These results suggest that this new in vitro method for antimicrobial evaluation could be used as the standard method for testing the antimicrobial activity of toothpaste.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.3
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• pp.315-327
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• 2023

In South Korea, the exporters of items related to nuclear power generation are diversified. Consequently, there is a risk of illegitimate export by companies failing to recognize the export control system because the awareness about this system for the strategic items among the subcontractors of nuclear power facilities is limited. To prevent illegitimate export of the strategic items, it is necessary to conduct outreach activities regarding the export control system for the related companies. Additionally, the exporters and export license examiners should consider whether an export target is on the Denial List, who may divert the strategic items to weapons of mass destruction. Therefore, the Korea Institute of Nuclear Nonproliferation and Control developed two systems for controlling illegitimate export of the Trigger List items. The first system, Nuclear Industry Information Collection and Analysis System, can gather information about the key nuclear industries in Korea and analyze the dealing of strategic items. The second system, Denied Persons Information Gathering System, can regularly gather information about the denied persons and provide the updated data to the exporters and regulatory examiners. These two systems can be used for outreach activities and export license examination to prevent illegitimate export of the strategic items.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.3
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• pp.205-216
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• 2014

Multi-camera systems have been widely used as cost-effective tools for the collection of geospatial data for various applications. In order to fully achieve the potential accuracy of these systems for object space reconstruction, careful system calibration should be carried out prior to data collection. Since the structural integrity of the involved cameras' components and system mounting parameters cannot be guaranteed over time, multi-camera system should be frequently calibrated to confirm the stability of the estimated parameters. Therefore, automated techniques are needed to facilitate and speed up the system calibration procedure. The automation of the multi-camera system calibration approach, which was proposed in the first part of this paper, is contingent on the automated detection, localization, and identification of the object space signalized targets in the images. In this paper, the automation of the proposed camera calibration procedure through automatic target extraction and labelling approaches will be presented. The introduced automated system calibration procedure is then implemented for a newly-developed multi-camera system while considering the optimum configuration for the data collection. Experimental results from the implemented system calibration procedure are finally presented to verify the feasibility the proposed automated procedure. Qualitative and quantitative evaluation of the estimated system calibration parameters from two-calibration sessions is also presented to confirm the stability of the cameras' interior orientation and system mounting parameters.

• Korean Journal of Veterinary Research
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• v.35 no.3
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• pp.531-536
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• 1995

Salmonella species are the most prevalent etiologic agents of food-borne acute gastroenteritis. Direct isolation of bacteria from the contaminated food, stool and animal tissues has been used for the diagnosis of salmonellosis routinely. However, isolation of bacteria is time consuming work and not so highly sensitive. In recent years, improved methods of polymerization chain reaction(PCR) and probe hybridization technique have led to the developement of diagnostic assays which employ to detect various human and animal pathogenic bacteria. In this study, we have performed the polymerization chain reaction to detect Salmonella pullorum from tissues and stool samples of chickens with two specific primers, ST5 and ST8C. The target DNA fragment of PhoE gene was successfully amplified from liver, spleen, pancreas, heart, lung, ovary, oviduct and feces samples. The amplified DNA fragments were hybridized with Salmonella typhymurium TA3000 PhoE probe by Southern hybridization. The PCR to amplify the PhoE gene was highly rapid and sensitive method to detect Salmonella pullorum from tissues and stool samples.

• The Research Journal of the Costume Culture
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• v.22 no.1
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• pp.112-125
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• 2014

The purpose of this study was to compare the effects of internet fashion advertisement (Ad) formats according to university students' online lifestyle. Static banner, rich media, floating, shopping, and target advertisement were selected as stimuli and a self-administered questionnaire was used for data collection. SPSS PC (Ver. 16.0) was used for factor analysis, ANOVA, and Chi-square test. Factors of online lifestyle were economy, early adaption, cyberspace activity, sociability, innovation, and entertainment, and subjects were segmented into online activity (OA) retard group, OA mania group, hedonic early adapter group, and OA intermediate group. OA retard group was positive to a static banner Ad with intimacy, and OA mania group and OA intermediate group were positive to a static banner Ad with confidence, attention, and intimacy and rich media Ad and floating Ad with confidence and attention. Hedonic early adapter group was positive to a target Ad with attention and intimacy. Internet shopping mall managers should select internet Ad format after segmenting their customers according to OA lifestyle.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.173-178
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• 2016

Many studies have been carried out on monitoring the target by cooperating a drone with remote sensors recently. This monitoring system uses static sensors to measure environmental data and drones to collect measured data. In geotechnical engineering, inspectors go around measuring the safety of construction site and it is impractical to compose a network among numerous sensors in terms of the cost efficiency. In this paper, we propose a data collection system based on interaction between a drone and a few sensors that are installed around the target structure for geotechnical projects. Through experimental results, we also verify the availability and the time and cost efficiency of the proposed system comparing with using inspectors.

• Journal of the Korean housing association
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• v.26 no.5
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• pp.89-96
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• 2015

This project was conducted as part of the Building America program that proposed the overall mission to achieve 30-50% reduction in existing building energy use. The purposes of this project were to analyze architectural styles and features named as archetypes of existing homes within the Great Lakes regions that include Michigan and identify the dominant type that would offer significant potential for energy-efficient retrofit. Housing archetypes were analyzed according to vintage, style, and construction characteristics in two target cities within the region. The findings from an intensive case study targeting the City of Ann Arbor established a fundamental framework for characterizing local housing archetypes and determined the dominant housing archetype that needed energy-efficient retrofit. An extended case study then conducted in Grand Rapids additionally refined this framework for the future application. This paper explained the process and data collection method to develop the framework that can be utilized by other researchers to determine the target housing types for energy-retrofit research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4176-4197
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• 2020

Botnet is a type of dangerous malware. Botnet attack with a collection of bots attacking a similar target and activity pattern is called bot group activities. The detection of bot group activities using intrusion detection models can only detect single bot activities but cannot detect bots' behavioral relation on bot group attack. Detection of bot group activities could help network administrators isolate an activity or access a bot group attacks and determine the relations between bots that can measure the correlation. This paper proposed a new model to measure the similarity between bot activities using the intersections-probability concept to define bot group activities called as B-Corr Model. The B-Corr model consisted of several stages, such as extraction feature from bot activity flows, measurement of intersections between bots, and similarity value production. B-Corr model categorizes similar bots with a similar target to specify bot group activities. To achieve a more comprehensive view, the B-Corr model visualizes the similarity values between bots in the form of a similar bot graph. Furthermore, extensive experiments have been conducted using real botnet datasets with high detection accuracy in various scenarios.

• Journal of Convergence Society for SMB
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• v.6 no.1
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• pp.17-23
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• 2016

Recently, Internet services via various devices including smartphone have become available. Because of the development of ICT, numerous hacking incidents have occurred and most of those attacks turned out to be APT attacks. APT attack means an attack method by which a hacker continues to collect information to achieve his goal, and analyzes the weakness of the target and infects it with malicious code, and being hidden, leaks the data in time. In this paper, we examine the information collection method the APT attackers use to invade the target system in a short time using big data, and we suggest and evaluate the countermeasure to protect against the attack method using big data.

• Journal of the Korean housing association
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• v.18 no.5
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• pp.33-43
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• 2007

This study aimed to analyze residential demands on intelligent systems for apartments and suggest space design directions of intelligent apartment complexes. Data collection was done through mail-in surveys by five respondent groups. Outcomes of this study would provide basic data for developing intelligent apartment housing corresponding to the residential characteristics and demands of the five respondent groups. The sample size for the questionnaire survey was 592. The types of the target residents in this study were classified into five categories; nuclear families, dual income families, single households and the handicapped needing special environmental supports, and workers at home who need the new home design with a home office. The primary findings of this study were as follows. 1) For the controllers of intelligent system, nuclear families preferred TV, single households prefer home-pad which is movable and provides access to the internet. Dual income families, the handicapped and workers at home preferred remote control panels. 2) For the desirable space for computer equipment, regardless of the types of target residents, bedroom and living room were preferred. 3) For the desirable space for a home theater system, most of respondent groups preferred living rooms, but many rather wanted to have media rooms only for this system.