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A Study on the GOOGLE advertisement place effect
왕달(Wang Da),박상현(Sang-Hyun Park),김치용(Chee-Yong Kim) 한국멀티미디어학회 2006 한국멀티미디어학회 학술발표논문집 Vol.2006 No.1
By following the compare of Google advertisement effect in right side and the effect of Google place in left side, This thesis analysis the factors which influence Google place and Propose the related plan th at enhances the google place. The conclusion of this thesis provides a set of basic theory about enhancing network advertisement effect for the merchant.
의료기기 네트워크 트래픽 보안 관련 머신러닝 알고리즘 성능 비교
고승형,박준호,왕다운,강은석,한현욱,Seung Hyoung Ko,Joon Ho Park,Da Woon Wang,Eun Seok Kang,Hyun Wook Han 한국IT서비스학회 2023 한국IT서비스학회지 Vol.22 No.5
As the computerization of hospitals becomes more advanced, security issues regarding data generated from various medical devices within hospitals are gradually increasing. For example, because hospital data contains a variety of personal information, attempts to attack it have been continuously made. In order to safely protect data from external attacks, each hospital has formed an internal team to continuously monitor whether the computer network is safely protected. However, there are limits to how humans can monitor attacks that occur on networks within hospitals in real time. Recently, artificial intelligence models have shown excellent performance in detecting outliers. In this paper, an experiment was conducted to verify how well an artificial intelligence model classifies normal and abnormal data in network traffic data generated from medical devices. There are several models used for outlier detection, but among them, Random Forest and Tabnet were used. Tabnet is a deep learning algorithm related to receive and classify structured data. Two algorithms were trained using open traffic network data, and the classification accuracy of the model was measured using test data. As a result, the random forest algorithm showed a classification accuracy of 93%, and Tapnet showed a classification accuracy of 99%. Therefore, it is expected that most outliers that may occur in a hospital network can be detected using an excellent algorithm such as Tabnet.
장성규(Seong-Gyu Jang),이아림(Ah-Rim Lee),임다은(Da-Eun Im),왕항(Heng Wang),박용진(Yong-Jin Park),이영상(Young-Sang Lee),조유현(Yoo-Hyun Cho),권순욱(Soon-Wook Kwon) 한국육종학회 2017 한국육종학회지 Vol.49 No.1
‘Hyowon 4’, a new medium maturing glutinous rice variety was developed by the rice breeding team of Pusan National University in 2013. This cultivar was derived from a cross between ‘Boseokchal’ and ‘Donna’ with good glutinous property. During F3~F8 generation, breeding lines were selected by a pedigree breeding method. As a result, the promising line (JS23-4-39-14-5-1-1-1) with good glutinous property was advanced and designated as the name of ‘SP 106’ in 2012. This variety headed on Aug. 15, which is 2 days later than ‘Dongjinchal’ in middle plane. The culm length and panicle length of this variety was 82.4 cm and 21.1 cm, respectively. This variety has about 13.9 tillers per a hill and 100 spikelets per a panicle. The ratio of ripened grain is about 92.0% and 1000-grain weight was 20.9 g in brown rice. The yield performance was 5.03 MT/ha in local adaptability test.
Jang, Won-Jun,Kim, Hak-Min,Shim, Jae-Oh,Yoo, Seong-Yeun,Jeon, Kyung-Won,Na, Hyun-Suk,Lee, Yeol-Lim,Lee, Da-We,Roh, Hyun-Seog,Yoon, Wang Lai ELSEVIER 2017 CATALYSIS COMMUNICATIONS Vol.101 No.-
<P><B>Abstract</B></P> <P>A direct internal reforming (DIR) reaction for a molten carbonate fuel cell (MCFC) is carried out using SiO<SUB>2</SUB> supported catalysts, which are known to be a highly stable in catalytic reactions. The SiO<SUB>2</SUB> supported Ni catalysts rapidly deactivate in DIR-MCFC. To elucidate the mechanism of the catalyst deactivation, various characteristic analyses (XRD, BET, H<SUB>2</SUB>-chemisorption, FT-IR, and SEM) of calcined and used catalysts are employed. The co-existence of H<SUB>2</SUB>O and K causes the formation of the non-active nickel oxide and silica hydrate resulting in the significant decrease of Ni dispersion and BET surface area.</P> <P><B>Highlight</B></P> <P> <UL> <LI> The co-existence of H<SUB>2</SUB>O and K causes the formation of NiO and SiO<SUB>2</SUB>·<I>x</I>H<SUB>2</SUB>O. </LI> <LI> Silica hydrate significantly affects morphology and texture of the catalyst. </LI> <LI> BET S.A. and Ni dispersion of catalyst with K ultimately decrease after reaction. </LI> <LI> SiO<SUB>2</SUB> lost role of support and the catalyst containing SiO<SUB>2</SUB> rapidly deactivate. </LI> <LI> SiO<SUB>2</SUB> component is not a suitable support for the specific case (DIR-MCFC). </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>