• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2011.10a
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• pp.264-270
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• 2011

The goal of this study is a stability evaluation through eigenvalue and rotor dynamics analysis of the vacuum pump. The vacuum pump used is a roots type pump, one of the dry middle vacuum pumps, is necessary at the procedure to produce semiconductor and display. The eigenvalue evaluation is solved by numerical analysis through using Modal test and 2D 3D models. Both the experiment and the analysis result are similar, the analysis result using 2D is more oculate the 3D model comparing with test result. So rotor dynamic evaluation is performed through using 2D model. Rotor dynamic evaluation used the campbell diagram and root locus map which were acquired by complex eigenvalue analysis. And we checked minimum clearance of vacuum pump composition between two rotors through unbalance response analysis. Thus, vacuum pump, the target object of this study, was evaluated to be operated stably.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.5 no.1
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• pp.59-67
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• 1995

Blood lead assay by $D_2$ lamp background correction method of atomic absorption spectrophotometer(AAS) with wavelength of 283.3 nm is most popular in occupational health practice in Korea. On the other hand, $D_2$ lamp background correction method with wavelength of 217.0 nm is also often used in general chemical analysis for lead assay in general purpose. But both methods have some weakness of background correction which brought direct effect on the results of analysis. Recently blood lead assay with polarized Zeeman effect of AAS was introduced and is now preferred in many laboratory than $D_2$ correction method in blood lead analysis. But still AAS with $D_2$ lamp are widely used in the field of occupational health in Korea. This study compared blood lead assay data with $D_2$ correction methods(283.3 and 217.0 nm) and with that of polarized Zeeman effect correction method to evaluate the validity of 02 correction methods. The results obtained were as follows; 1. Taking the value of polarized Zeeman effect method as reference value of 1.00, the mean relative value of $D_2$ correction method with wavelength of 217.0 nm was 0.92 and that with wavelength of 283.3 nm was 0.90 respectively in the analysis of blood lead whose value were below $20.0{\mu}g/dl$(p<0.001). Both mean values were statistically smaller than polarized Zeeman effect correction method. But in the analysis of blood whose value were between 20.0 to $20.0{\mu}g/dl$, the mean relative value of $D_2$ correction method was 0.96 in both wavelength and did not differ from polarized Zeeman effect method(p<0.001). There was no difference of blood lead between $D_2$ correction method and polarized Zeeman effect method in the analysis of blood lead whose value were over $40.0{\mu}g/dl$. 2. The variations of background correction value in polarized Zeeman effect method were not changed by increase of blood lead, but those in $D_2$ correction methods were increased by the increase of blood lead. While then relative standard deviation(RSD) of data measured by Zeeman effect method were decreased by the increase of blood lead, those by $D_2$ methods were nol differed by the increase of blood lead.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.880-884
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• 2002

According to the development of computer technology, especially in 3D graphics and visualization, the interest for 3D GIS has been increasing. Several commercial GIS softwares are ready to provide 3D function in their traditional 2D GIS. However, most of these systems are focused on visualization of 3D objects and supports few analysis functions. Therefore in this paper, we design not only a spatial operation processor which can support spatial analysis functions as well as 3D visualization, but also implement a prototype to operate them. In order to support interoperability between the existing models, the proposed spatial operation processor supports the 3D spatial operations based on 3D geometry object model which is designed to extend 2D geometry model of OGIS consortium, and supports index based on R$^*$-Tree. The proposed spatial operation processor can be applied in 3D GIS to support 3D analysis functions.

• YAKHAK HOEJI
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• v.54 no.6
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• pp.441-448
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• 2010

In present study, classification and quality control of Genus Polygonatum were developed using the isolated from Polygonati Odorati Rhizoma and Polygonati Rhizoma. 3 components were isolated from Butanol fractions of Polygonati Rhizoma, and 2 components were isolated from Hexane and Butanol fractions of Polygonati Odorati Rhizoma. All the components were obtained using silica gel and ODS column chromatography. The compounds were identified as adenosine, 14-hydroxylfurost-5-ene-3-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}2$)-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-D-galactopyranosyl-26-O-${\beta}$-D-glucopyranoside, 22-O-methyl-14-hydrocxyfurost-5-ene-3-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}2$)-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-Dgalactopyranosyl-26-O-${\beta}$-D-glucopyranoside, ${\beta}$-Sitosteryl-3-O-${\beta}$-D-D-glucopyranoside, 14-hydoxylfurost-5-ene-3-O-${\beta}$-Dglucopyranosyl-($1{\rightarrow}2$)-O-[${\beta}$-D-xylopyranosyl-($1{\rightarrow}3$)]-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-D-galactopyranoside through physicochemical data, spectroscopic methods ($^1H$-NMR, $^{13}C$-NMR, Mass) according references. The quality control of genus Polygonatum were conducted using HPLC quantitative analysis of 14-hydroxylfurost-5-ene-3-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}2$)-O-${\beta}$-D-glucopyranosyl-($1{\beta}4$)-O-${\beta}$-D-galactopyranosyl-26-O-${\beta}$-D-glucopyranoside, 14-hydoxylfurost-5-ene-3-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}2$)-O-[${\beta}$-D-xylopyranosyl-($1{\rightarrow}3$)]-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-D-galactopyranoside in 30 samples collected throughout Korea and China. This method provided a tool for standardization of mix or misusing the commercial Odorati Rhizoma and Polygonati Rhizoma. As a result, contained quantity of 14-hydroxylfurost-5-ene-3-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}2$)-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-D-galactopyranosyl-26-O-${\beta}$-D-glucopyranoside was measured $0.008{\pm}0.006%$ and 14-hydoxylfurost-5-ene-3-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}2$)-O-[${\beta}$-D-xylopyranosyl-(13)]-O-${\beta}$-D-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-Dgalactopyranoside was measured $0.026{\pm}0.012%$.

• Translational and Clinical Pharmacology
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• v.25 no.3
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• pp.147-152
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• 2017

This study focused on the role of cytochrome P450 2D6 (CYP2D6) genotypes to predict phenotypes in the metabolism of dextromethorphan. CYP2D6 genotypes and metabolic ratios (MRs) of dextromethorphan were determined in 201 Koreans. Unsupervised clustering algorithms, hierarchical and k-means clustering analysis, and color visualizations of CYP2D6 activity were performed on a subset of 130 subjects. A total of 23 different genotypes were identified, five of which were observed in one subject. Phenotype classifications were based on the means, medians, and standard deviations of the log MR values for each genotype. Color visualization was used to display the mean and median of each genotype as different color intensities. Cutoff values were determined using receiver operating characteristic curves from the k-means analysis, and the data were validated in the remaining subset of 71 subjects. Using the two highest silhouette values, the selected numbers of clusters were three (the best) and four. The findings from the two clustering algorithms were similar to those of other studies, classifying $^*5/^*5$ as a lowest activity group and genotypes containing duplicated alleles (i.e., $CYP2D6^*1/^*2N$) as a highest activity group. The validation of the k-means clustering results with data from the 71 subjects revealed relatively high concordance rates: 92.8% and 73.9% in three and four clusters, respectively. Additionally, color visualization allowed for rapid interpretation of results. Although the clustering approach to predict CYP2D6 phenotype from CYP2D6 genotype is not fully complete, it provides general information about the genotype to phenotype relationship, including rare genotypes with only one subject.

• Journal of the Korea Institute of Building Construction
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• v.22 no.3
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• pp.269-280
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• 2022

With property values of buildings rising, interior construction works are also increasing globally. Interior construction technology has developed into building information modeling(BIM) that can estimate and integrate material quantities. Two-dimensional(2D) drawings and three-dimensional (3D) modeling are becoming a trend owing to the demanding on-site cost and process. 2D drawings and 3D modeling have both advantages and disadvantages that give rise to defects during interior construction work. The field problems, 2D drawings, 3D modeling, and preliminary risk factors of interior construction work were analyzed to identify real problems. Based on the problem analysis, various problems were derived, such as (1) communication with purchasers, (2) communication with workers, and (3) comprehension of the drawings. In this study, a checklist for quality improvement of interior construction was proposed to address the aforementioned issues.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.178-188
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• 2024

In the near future, it is expected that there will be billions of connected devices using fifth generation (5G) network services. The recently available base stations (BSs) need to mitigate their loads without changing and at the least monetary cost. The available spectrum resources are limited and need to be exploited in an efficient way to meet the ever-increasing demand for services. Device to Device communication (D2D) technology will likely help satisfy the rapidly increasing capacity and also effectively offload traffic from the BS by distributing the transmission between D2D users from one side and the cellular users and the BS from the other side. In this paper, we propose to apply D2D overlay communication with cognitive radio capability in 5G networks to exploit unused spectrum resources taking into account the dynamic spectrum access. The performance metrics; throughput and delay are formulated and analyzed for CSMA-based medium access control (MAC) protocol that utilizes a common control channel for device users to negotiate the data channel and address the contention between those users. Device users can exploit the cognitive radio to access the data channels concurrently in the common interference area. Estimating the achievable throughput and delay in D2D communication in 5G networks is not exploited in previous studies using cognitive radio with CSMA-based MAC protocol to address the contention. From performance analysis, applying cognitive radio capability in D2D communication and allocating a common control channel for device users effectively improve the total aggregated network throughput by more than 60% compared to the individual D2D throughput without adding harmful interference to cellular network users. This approach can also reduce the delay.

• Journal of Integrative Natural Science
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• v.9 no.1
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• pp.1-9
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• 2016

Leucine rich repeat kinase 2 (LRRK2) is a highly promising target for Parkinson's disease (PD) that affects millions of people worldwide. A three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis was performed on a series of pyrrolopyrimidine-based selective LRRK2 kinase inhibitors. This study was performed to rationalize the structural requirements responsible for the inhibitory activity of these compounds. A reliable 3D-QSAR model was developed using comparative molecular field analysis (CoMFA) technique. The model produced statistically acceptable results with a cross-validated correlation coefficient ($q^2$) of 0.539 and a non-cross-validated correlation coefficient ($r^2$) of 0.871. Robustness of the model was further evaluated by bootstrapping and progressive scrambling analysis. This work could assist in designing more potent LRRK2 inhibitors.

• Imaging Science in Dentistry
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• v.37 no.1
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• pp.27-33
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• 2007

Purpose : The research was done to investigate the effectiveness of 2D bony morphometry and microstructure of micro-computed tomography (micro-CT) on the osteoporotic bony change. We performed the bone morphometric analysis of proximal femur in ovariectomized rabbits with BMD and micro-CT examination. Materials and Methods : Twenty-one female (Newzealand, about 16 weeks old, 2.9-3.4kg) rabbits were used. Three rabbits were sacrificed on the day when experiment began (Baseline). The remaining 18 rabbits were divided into two groups. One group was ovariectomized bilaterally (OVX) and the other animals were subjected to sham operation (Sham). Bone specimens were obtained from the right and left femur of sacrificed rabbits. At intervals of 1, 2, 3, 5, 6 months respectively, BMD tests were performed on the proximal femur by using PIXlmus 2 (GE Lunar Co. USA), 2-dimensional bone morphometric analysis by custome computer program and 2D/3D bone structure analysis by micro-CT (Skyscan 1072, Antwerpen, Belgium). Statistical analysis was carried out for the correlation between bone morphometry, micro-CT and BMD Result : BV/TV, Tb.Th, Tb.N of micro-CT parameters showed higher values in sham group than OVX group. N.Nd/Ar.RI, N.NdNd, N.NdTm, N. TmTm, PmB/Ar.RI, 3-D BoxSlope of 2D morphometric parameters showed higher values in Sham group than OVX group. The micro-CT parameters of Tb.Sp, Tb.N were statistically significant correlated with BMD respectively. Several 2D morphometric parameters were statistically significant correlated with BMD respectively. Conclusion : Several parameters of 2D bony morphometry and micro-CT showed effective aspects on the osteoporotic bony change.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.3
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• pp.205-208
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• 2013

Generally, binary pattern transforms have been used in the field of the face recognition and facial expression, since they are robust to illumination. Thus, this paper proposes an illumination-robust face recognition system combining an MLDP, which improves the texture component of the LDP, and a 2D-PCA algorithm. Unlike that binary pattern transforms such as LBP and LDP were used to extract histogram features, the proposed method directly uses the MLDP image for feature extraction by 2D-PCA. The performance evaluation of proposed method was carried out using various algorithms such as PCA, 2D-PCA and Gabor wavelets-based LBP on Yale B and CMU-PIE databases which were constructed under varying lighting condition. From the experimental results, we confirmed that the proposed method showed the best recognition accuracy.