• Proceedings of the Korean Vacuum Society Conference
• /
• 2000.02a
• /
• pp.164-164
• /
• 2000

Since Au-Pt alloys have various atomic structures depending upon composition and annealing temperature, it is very interesting to investigate the electronic structures of alloys. We studied the changes of the electronic structure I the Au-Pt alloys by x-ray absorption near edge spectroscopy (XANES). Two kinds of Au-Pt alloy samples were prepared by arc melting methods and ion-beam-mixing technique. The Pt L2, 3-edge and Au L2, 3-edge X-ray absorption spectra (XPS) were measured with the electron yield mode detector at the 3C1 beam line of the Pohang Light Source (PLS). It was found that there was a substantial decrease in the area of the Pt L2, 3 white lines compared with that of pure Pt. The observed decrease in white line area was attributed to an increase in the number of pure Pt. The observed decrease in white line area was attributed to an increase in the number of 5d-electrons at the Pt site upon alloy formation. However, the Au L2, 3 edge spectra for Au-Pt alloys are all similar to that of pure Au. This implies that the 5d hole count of Au is not changed by alloy formation with Pt.

• Proceedings of the Materials Research Society of Korea Conference
• /
• 1998.08a
• /
• pp.147.4-147
• /
• 1998

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 2008.10a
• /
• pp.273-276
• /
• 2008

In this study, microstructure and distribution of alloy elements were investigated in thermo-mechanically processed C-Mn-Si transformation induced plasticity (TRIP) steels. The microstructures of TRIP steels were investigated by using advanced analysis techniques, such as three dimensional atom probe tomography (3D-APT). At first, the microstructure was observed by using TEM. TEM results revealed that microstructure of C-Mn-Si TRIP steel was composed of ferrite, bainte, and retained austenite. 3D-APT was used to characterize atomic-scale partitioning of added elements at the phase interface. In the retained austenite phase, Ti and B were enriched with C. However, there was no fluctuation of Mn and Si concentration across the interface. Through these analysis techniques, the advanced characteristics of constituent microstructure in C-Mn-Si TRIP steels were identified.

• Journal of Acupuncture Research
• /
• v.31 no.1
• /
• pp.149-158
• /
• 2014

Objectives : The aim of this study is to investigate the influence of anxiety and depression on motor recovery of acute Bell's palsy to estimate how much psychological factors affect the clinical prognosis. Methods : A total of 20 inpatients with acute unilateral Bell's palsy within 1 week of onset participated in this study. The severity of participants' facial palsy was measured by Yanagihara(Y-system) score, FDI and House-Brackmann scale at the time of 1 week and 3 weeks from the onset. The motor recovery of acute Bell's palsy is defined as ${\Delta}Y$-system during 2 weeks. Beck anxiety scale(BAI) and the center for epidermiologic studies depression scale(CES-D) were adopted to assess anxiety and depression, respectively. Correlation analysis and linear regression analysis were conducted between ${\Delta}Y$-system and prognostic factors including anxiety and depression. Results : Significant associations were found between ${\Delta}Y$-system and depression(CES-D) but no significant associations were found between ${\Delta}Y$-system and other prognostic factors, hypertension, diabetes, postauricular pain, disgeusia, age, degree of initial palsy and anxiety(BAI). And a regression equation with 0.295 for coefficient of determination was obtained. Through this analysis, the ${\Delta}Y$-system can be predicted using regression equation which cover 29.5 % of depression index(CES-D). Conclusion : Depression is a significant clinical prognostic factor on motor recovery of acute Bell's palsy. So, Bell's palsy treatment should be combined with psychological care and support.

• Proceedings of the KIEE Conference
• /
• 1992.07a
• /
• pp.225-230
• /
• 1992

In this paper, a new learning fuzzy logic controller(LFLC) is presented. The proposed controller is composed of the main control part and the learning part. The main control part is a fuzzy logic controller(FLC) based on linguistic rules and fuzzy inference. For the learning part, artificial neural network(ANN) is added to FLC so that the controller may adapt to unknown plant and environment. According to the output values of the ANN part, which is learned using error back-propagation algorithm, scale factors of the FLC part are determined. These scale factors transfer the range of values of input variables into corresponding universe of discourse in the FLC part in order to achieve good performance. The effectiveness of the proposed control strategy has been demonstrated through simulations involving the control of an unknown robot manipulator with load disturbance.

• 한국전산유체공학회:학술대회논문집
• /
• 2008.08a
• /
• pp.60.2-60.2
• /
• 2008

• Proceedings of the Korean Vacuum Society Conference
• /
• 2001.02a
• /
• pp.91-91
• /
• 2001

• Journal of Animal Environmental Science
• /
• v.13 no.3
• /
• pp.187-194
• /
• 2007

Six pig farms were surveyed to measure the odor concentrations and characteristics of ammonia and sulfide corollary compounds in piggery. They were depended on the scale of piggery, weather conditions such as temperature, humidity, wind speed and direction, scales and types of pig breeding, and manure treatment methods. The highest ammonia concentrations in piggery were measured during the winter, since the tight sealed insulation in piggery made less amount of generated ammonia discharged from piggery. The objective of this study was to measure concentrations of odor in the piggery by season and growing, and to measure concentrations of odor at boundary area. So, we investigated the raising managements, manure managements, and methods of reducing odor according to farm scale. We found that concentration of ammonia gas in the swine fattening piggery in winter was the highest. This result is consistent with the lower ventilation rate to maintain Indoor temperature. In this result, there was no connection between farm scale and ventilating system. Concentration of ammonia gas was 1.64 ppm at one boundary area in the middle scale. $H_2S$, $CH_3SH$, $(CH_3)_2S$, and $(CH_3)_2S_2$ were below the standard of protection odor policy.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
• /
• 2014.10a
• /
• pp.163-167
• /
• 2014

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2012.10a
• /
• pp.317-318
• /
• 2012