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Adaptive Run-time Overhead Adjustments for Optimizing Multiple Continuous Query Processing
Hyun-Hon Lee,Hong-Kyu Park,Jin-Chul Park,Won-Suk Lee,Kil-Hong Joo 보안공학연구지원센터 2014 International Journal of Software Engineering and Vol.8 No.11
The time-varying characteristics of infinite data streams require continuous queries to be adaptively processed. The order in which multiple join operations are evaluated has serious consequences for the algorithm performance because the selectivity of each join operation can differ significantly from the selectivity of the other operations. The evaluation order may be effectively determined using the k-EGA and A-SEGO schemes, as proposed in previous studies. These methods optimize target continuous queries by monitoring a set of their promising subplans simultaneously. Each scheme also employs a user-defined cost-bound parameter for controlling the number of monitored subplans. A more optimized global plan may be generated by using a more highly configured cost-bound parameter. However, this approach can increase the overhead associated with monitoring the subplans. This paper proposes a new scheme, Adaptive Run-time Overhead Adjustment (AROA), which provides a novel method for adaptively determining the value of a cost-bound parameter based on the system environment. Unlike the previously described A-SEGO scheme, the scheme proposed here automatically selects the cost-bound parameter to reflect the system workloads (e.g., the input tuple rate, and other parameters). This method not only augments the probability of generating an optimized execution plan, it reduces the run-time delay caused by the optimization process. Experimental verification of the proposed scheme AROA demonstrated that AROA outperforms the previous schemes.
Lee, Sanghyun,Park, Hee-Seung,Notsu, Yohko,Ban, Hyun Seung,Kim, Yong Pil,Ishihara, Kenji,Hirasawa, Noriyasu,Jung, Sang Hoon,Lee, Yeon Sil,Lim, Soon Sung,Park, Eun-Hee,Shin, Kuk Hyun,Seyama, Toshio,Hon John Wiley Sons, Ltd. 2008 Phytotherapy research Vol.22 No.11
<P>The extract of the root of Acanthopanax chiisanensis Nakai is used for the treatment of inflammation. To analyse the action mechanism of this extract, the effect of hyperin (quercetin-3-O-&bgr;-d-galactose) isolated from the ethyl acetate fraction of the root of A. chiisanensis on nitrite production and induction of inducible nitric oxide synthase (iNOS) in lipopolysaccharide (LPS, 1 µg/mL)-stimulated rat peritoneal macrophages were examined. The effect of the structurally related compounds, isoquercitrin (quercetin-3-O-&bgr;-d-glucose) and quercetin (an aglycone of the two compounds) isolated from the extract of the leaves of Vaccinium koreanum Nakai was also examined to compare the effect. It was shown that hyperin inhibited the LPS-induced iNOS expression and nitrite production. Of the three compounds, quercetin showed the most potent inhibitory activity. The phosphorylation of p44/42 mitogen activated protein kinase (MAPK), p38 MAPK and c-Jun N-terminal kinase (JNK) were also inhibited by these compounds. These findings suggested that hyperin in the extract of the root of A. chiisanensis inhibits nitric oxide (NO) production through inhibition of the expression of iNOS by attenuation of p44/p42 MAPK, p38 MAPK and JNK, and thus participates in the antiinflammatory activity of the extract. Copyright © 2008 John Wiley & Sons, Ltd.</P>
페룰의 무심 연삭 가공시 실험계획법 및 회귀분석 적용에 관한 연구
이정현(Jung-Hyun Lee),이은상(Eun-Sang Lee),조순주(Soon-Ju Cho),최헌종(Hon-Zong Choi),이석우(Seok-Woo Lee) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.6
The surface roughness in centerless grinding is mainly affected by the many process parameters. For decreasing the surface roughness, the control of grinding machining parameters is very important. This paper deal with the analysis of the process parameters such height of center, tilting angle of the regulating wheel, speed of regulating wheel, developed based on factorial design and regression model. The effect of grinding parameters on the surface roughness was evaluated the utilization of the regression analysis was evaluated with constraints of the surface roughness.
Low-Noise Single-Photon Detector for the 1.5-μm Wavelength Region
Seoung Hun LEE,Kyong Hon KIM,Chul-Woo PARK,Joon Tae AHN,Jun-Bum PARK,Kyu Hyun JEONG,Min Hee LEE,Sang Hyun CHOI,Sung MOON 한국물리학회 2007 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.50 No.1I
This paper describes an experimental demonstration and characterization of a InGaAs avalanchephotodiode (APD)-based low-noise single-photon detector developed for quantum cryptography at a wavelength of 1.5 μm. At the operation temperature of .50 C with a gated Geiger mode, we obtained a quantum efficiency of 21 % with a dark count probability per gate of 2.6 × 10.5 for a gate frequency of 10 kHz. The measured noise equivalent power (NEP) was 8.6 × 10.17 W/Hz1/2, which was the lowest value achieved so far at a thermoelectrically cooled temperature, which is an important factor for low quantum-bit error rates (QBER) in a quantum key distribution (QKD). The afterpulsing probability measured by varying the gate duration and separation indicated that the gate separation should be greater than 40 μs for 2.4-ns gate pulses to avoid the afterpulse effect. The developed single-photon detector turns out to be suitable for a 73-km fiber-optic quantum-key distribution in realistic conditions.덴f
Treatment of nevus of Ota using Low fluence Q-switched Nd:YAG laser
( Heun Joo Lee ),( Hyun Min Seo ),( Sang Hyeon Hwang ),( Yoon Hwan Kim ),( Joon Hong Min ),( Joon Lee ),( You Jin Yang ),( Seung Jae Lee ),( Ji Hye Park ),( Chong Won Choi ),( Ga Young Lee ),( Soo Hon 대한피부과학회 2012 대한피부과학회 학술발표대회집 Vol.64 No.3