• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.169-172
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• 1995

In optmizing cutting condition for face milling operation, tool wear is an important maching factor. For the purpose of establishing the relationship between various maching factor and tool wear, cutting tests have been performed. As a result, hardness and chemical composition of workpiece material, chemical compositition and grain size of cutting tool and cutting speed have been selected as machining factor. In addition, relationship between feed rate and workpiece hardness has been observed. Prior to utilizing cutting condition recommended by 'Machining Data Hardbook(MDH)' as a Knowledge base, an analysis for the validity has been provided. Based on this analysis, tool life criteria applied by MDH has been modifiied. Finaly, using MDH recommended data for neural network trainning, we can compensate the result form the trained neural network for optimizing cutting condition for some given workpice and cutting tool.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.436-438
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• 2009

To evaluate short rotation forestry candidates, seven clones of Salix hultenii were investigated as focused on chemical compositions and energy contents. There were significant variations in chemical compositions and energy contents among different clones. Variations in hot-water extractives content were 6.6-16.0% and 19.6-25.4% variation in lignin content. In carbohydrate compositional analysis, xylan contents were 7.5-13.1% with variation among different clones. Higher heating values were 17.69-20.02 MJ/kg.

• Advances in Energy Research
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• v.4 no.3
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• pp.203-211
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• 2016

A good understanding of the chemical composition and structural characteristics of a carbonaceous material is essential in conversion processes. Understanding how the composition and structural changes influence the burning behaviour of coal is important when assessing a coal's potential for utilization. To explore the potentials of a typical Nigerian coal, both conventional and advanced analytical techniques such as proximate analysis, ultimate analysis, calorific value, surface area analyser, SEM, FTIR, XRD and SAXS were employed. The results obtained from these characterizations agree favourable well with a typical South African coal that is of enormous contribution to the gross domestic product (GDP) of the nation economy.

• Korean Journal of Plant Resources
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• v.26 no.6
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• pp.718-725
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• 2013

Components extracted from 7 species and 18 populations of Chrysosplenium in Korea were compared and analyzed using GC-MS analysis. 57 components (${\geq}80%$ quality) were identified, of which neophytadiene, palmitic acid and phytol were found at all the taxa. Percentage composition of isolated extracts showed a clear difference in components type and GC-MS profile. On the basis of that result, data matrix was made and cluster analysis using UPGMA was conducted. From the result of cluster analysis, two groups were recombined; one with alternate leaves comprised C. japonicum in Ser. Alternifolia and C. flagelliferum in Ser. Flagellifera and the other with opposite leaves gradationally comprised C. psuedofauriei in Ser. Sinica, C. ramosum in Ser. Oppositifolia and C. sphaerospermum, C. valdepilosum, C. flaviflorum in Ser. Pilosa. These chemotaxonomic results agreed in general with those of existing studies on external morphology and molecular. In conclusion, chemical composition can be an useful characters in understanding the relation analysis among interspecific and intraspecific complex with the help of cluster analysis of 7 species and 18 populations of Chrysosplenium in Korea.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.2
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• pp.465-470
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• 2015

The curing of epoxy asphalt mixture depends on the chemical reaction of epoxy resin and the curing agent. The curing level of epoxy asphalt mixture needs to be predicted in order to decide traffic opening time and to establish further construction plans. In this study, chemical analysis of the prediction model was executed to expand the applicability of the previous prediction model. Consequently, the curing level prediction model of epoxy asphalt concrete mixture was proposed using the concentration ratio and the acid value ratio. According to the results of outdoor curing experiments, the final prediction model showed that the correlation coefficient is greater than 0.971. Precise prediction results of different composition epoxy asphalt were obtained by reflecting the chemical composition ratios in the curing level prediction model.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.6
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• pp.815-825
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• 2019

Objective: To effectively use corn stover resources as animal feed, the changes in microbial population and chemical composition of corn stover during field exposure, and their silage fermentation and in vitro digestibility were studied. Methods: Corn cultivars (Jintian, Jinnuo, and Xianyu) stovers from 4 random sections of the field were harvested at the preliminary dough stage of maturity on September 2, 2015. The corn stover exposed in the field for 0, 7, 15, 30, 60, 90, and 180 d, and their silages at 60 d of ensiling were used for the analysis of microbial population, chemical composition, fermentation quality, and in vitro digestibility. Data were analyzed with a completely randomized $3{\times}6$ [corn stover cultivar $(C){\times}exposure$ d (D)] factorial treatment design. Analysis of variance was performed using SAS ver. 9.0 software (SAS Institute Inc., Cary, NC, USA). Results: Aerobic bacteria were dominant population in fresh corn stover. After ensiling, the lactic acid bacteria (LAB) became the dominant bacteria, while other microbes decreased or dropped below the detection level. The crude protein (CP) and water-soluble carbohydrate (WSC) for fresh stover were 6.74% to 9.51% and 11.75% to 13.21% on a dry matter basis, respectively. After exposure, the CP and WSC contents decreased greatly. Fresh stover had a relatively low dry matter while high WSC content and LAB counts, producing silage of good quality, but the dry stover did not. Silage fermentation inhibited nutrient loss and improved the fermentation quality and in vitro digestibility. Conclusion: The results confirm that fresh corn stover has good ensiling characteristics and that it can produce silage of good quality.

• 보존과학연구
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• s.20
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• pp.91-120
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• 1999

This paper presents the results of investigation on crystal, firing temperature and trace elements analysis of fragments 4~8 centriesexcavated from Kyong ju historical sites such as Wang kyong,Walsung, Hwangnam great tomb by application of optical microscope, neutron activation analysis and X-ray diffraction. Temper analysis of clay for identification of local or foreign production; Trace elements is not presented a unique chemical composition. That’s data have to be treated a statistical process in order to normalize. The results followed ;(1) Firing temperature could be estimated $700^{\circ}C$ on some softness pottery at Walsung and most of hardness others are $1,000^{\circ}C$ to $1,200^{\circ}C$.(2) Crystal structures are divided into three kinds of mineralogical composition(Quartz, Mullite, Feldspar).(3) Considering of the results of statistical data, chemical composition of Walsung is more similarly Wang kyong than Hwangnam great tomb.

• Journal of the Speleological Society of Korea
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• v.14 no.15
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• pp.42-90
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• 1987

Lee, Moon Won reported by 63 kinds lescribing the petrography and bulk chemical Composition in Petrology of Cheju volcanic island. The total Chemical Composition data was analyzed by the program of FORTRAN77. First, the Conversition equations and the scatter diagram were examined to the analysis, by the least square method. Next, a statistical data requested a mean Value, maximum value, minimum value, the range, the standard deviation, the variance, the Standord Error and the Coefficient of variation. In the standard deviation, a small Composition is MnO and P$_2$O$\sub$5/, a large Composition is SiO$_2$, Mgo and FeO. The Standard error and the variance were the tandency looked like the Standard deviation well. However, the Coefficient Variation differs from the Standard deviation. Where, a large Coefficient of variation are H$_2$O$\^$-/ and H$_2$O$\^$+/, a small Coefficient of variation are Al$_2$O$_3$ and SiO$_2$. The Correlation of Coefficient Can be Calculated numerically from the relation between SiO$_2$, Al$_2$O$_3$ and TiO$_2$ to other Compositions.

• Journal of Microbiology and Biotechnology
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• v.27 no.5
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• pp.939-942
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• 2017

The cellular composition and metabolic compounds of Leuconostoc mesenteroides ATCC 8293 were analyzed after cultivation in an anaerobic chemostat. The macromolecular composition was 24.4% polysaccharide, 29.7% protein, 7.9% lipid, 2.9% DNA, and 7.4% RNA. Its amino acid composition included large amounts of lysine, glutamic acid, alanine, and leucine. Elements were in the order of C > O > N > H > S. The metabolites in chemostat culture were lactic acid (73.34 mM), acetic acid (7.69 mM), and mannitol (9.93 mM). These data provide a first view of the cellular composition of L. mesenteroides for use in metabolic flux analysis.

• Bulletin of the Korean Chemical Society
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• v.27 no.1
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• pp.71-76
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• 2006

Porous polymer monolithic columns were prepared by the direct free radical copolymerization of methacrylic acid and ethylene glycol dimethacrylate within the confines of a chromatographic column in the presence of toluene-dodecanol as a porogenic solvent. The separation characteristics of the monolithic columns were tested by a homologous series of xanthine derivatives, theophylline and caffeine. The effects of the polymerization mixture composition and polymerization condition, mobile phase composition, flow rate and temperature on the retention times and separation efficiencies were investigated. The results showed that the selection of correct porogenic solvents and appropriate polymerization conditions are crucial for the preparation of the monolithic stationary phases. The separation efficiency was only extremely weakly dependent on flow rate and temperatures. Hydrogen-bonding interaction played an important role in the retention and separation. Compared with conventional particle columns, the monolithic column exhibited good stability, ease of regeneration, high separation efficiency and fast analysis.