• Title/Summary/Keyword: spectrum property

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EEG model by statistical mechanics of neocortical interaction

  • Park, J.M.;Whang, M.C.;Bae, B.H.;Kim, S.Y.;Kim, C.J.
    • Journal of the Ergonomics Society of Korea
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    • v.16 no.2
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    • pp.15-27
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    • 1997
  • Brain potential is described using the mesocolumnar activity defined by averaged firings of excitatory and inhibitory neuron of neocortex. Lagrangian is constructed based on SMNI(Statistical Mechanics of Neocortical Interaction) and then Euler Lagrange equation is obtained. Excitatory neuron firing is assumed to be amplitude- modulated dominantly by the sum of two modes of frequency .omega. and 2 .omega. . Time series of this neuron firing is calculated numerically by Euler Lagrangian equation. I .omega. L related to low frequency distribution of power spectrum, I .omega. H hight frequency, and Sd(standard deviation) were introduced for the effective extraction of the dynamic property in the simulated brain potential. The relative behavior of I .omega. L, I .omega. H, and Sd was found by parameters .epsilon. and .gamma. related to nonlinearity and harmonics respectively. Experimental I .omega L, I .omega. H, and Sd were obtained from EEG of human in rest state and of canine in deep sleep state and were compared with theoretical ones.

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Research on the Solar Concentrating Optical System for Solar Energy Utilization

  • Duan, Yimeng;Yang, Huajun;Jiang, Ping;Wang, Ping
    • Journal of the Optical Society of Korea
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    • v.17 no.5
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    • pp.371-375
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    • 2013
  • To improve the utilization efficiency of solar energy, a new solar optical concentrating system composed of a parabolic reflector with a square cross-section, a hyperbolic reflector with a square cross-section and two converging convex lenses has been designed. The proposed method can simultaneously focus and shape sun light into a square pattern on the solar panel. In addition, the total reflection property of photonic crystal within the range of the visible sunlight spectrum has been analyzed. Finally, the relationship between solar concentrating multiples and the diameter of the primary mirror has been discussed.

Synthesis and properties of organic light-emitting diodes using BECCIP material

  • Lee, Ho-Sik;Kim, Sang-Keol;Lee, Won-Jae;Park, Jong-Wook;Song, Min-Jong;Kim, Tae-Wan;Kang, Dou-Yol
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2000.11a
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    • pp.174-176
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    • 2000
  • We have synthesized the new blue electroluminescent material, Bis(3-N-ethylcarbazolyl)cyanoisophthalidene(BECCIP), and characterized its properties by UV/visible absorption, photoluminescent(PL) and electroluminecent(EL) spectrum. This material is well vacuum-deposited far thin film and has clear surfaced thin film property. The BECCIP shows blue PL and EL spectra at around at 485nm.

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High brightness property of Power Electroluminescent Device using ZnS:Cu (ZnS:Cu를 이용한 후막 전계발광소자의 고휘도 특성)

  • Lee, Jong-Chan;Park, Dae-Hui
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.48 no.5
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    • pp.349-353
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    • 1999
  • In this paper, to fabricate the AC power electroluminescent device (PELD) with high brightness, new structure that constructed single emissive layer between electrodes was proposed. Dielectric and phosphor material structure that constructed single emissive layer between electrodes was proposed. Dielectric and phosphor material were BaTiO3 and ZnS:Cu respectively. Fabricated AC power EL devices were estimated by optical and electrical properties of EL spectrum, brightness, CIE coordinate system, transferred charge density and EL emission wave in time domain. With above results, we found that brightness of newly proposed AC powder EL power EL device was 2754 cd/m2 at 100V, 400 Hz and compared with conventional device structure.

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Performance sensitivity analysis of feedback system for adaptive control of a vehicle suspension (자동차 현가장치의 적응제어를 위한 feedback 시스템의 성능감도 해석)

  • Park, H;Jeon, E. S.;Oh, J. E.
    • Journal of the korean Society of Automotive Engineers
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    • v.13 no.1
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    • pp.35-45
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    • 1991
  • A linear quarter model of a vehicle suspension system is built and simulated. Especially the so-called sensitivity analysis is conducted in order to show its applicability to design problems, and sensitivity function is determined in the frequency domain. The change of frequency response function is predicted, which depends on the design parameter variation and the property is verified by computer simulation. Typical performance measures, namely, sprung mass acceleration, suspension deflection, and tire deflection are examined. The vehicle model is analyzed for ist performance sensitivity as a function of the system's feedback gains. The variable feedback gains are selected as the spring and damping coefficients. Frequency response, RMS response, and performance index of the performance evaluation variables are considered and three-dimensional and contour plots of response surfaces are formed to examine output sensitivity to suspension feedback. Performance trade-offs over the entire frequency spectrum are identified from the FRF, and that between ride quality and handling characteristics are examined from the RMS responses.

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A Development of Algorithm on Robust Adaptive Law in Adaptive mechanism showing Chaotic phenomenon (혼돈 현상을 보이는 적응기구에서의 강인한 적응법칙에 관한 알고리즘의 개발)

  • Jeon, Sang-Young;Yim, Wha-Yeong
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.322-325
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    • 1994
  • Mareel and Bitmead proved the presence of chaotic signal in random noise by applying dead beat control theory to adaptive mechanism. In this paper robust adaptive theory is proposed. With the property of chaotic signal that has order and law, the proposed theory can enhance the control Performance by applying the recursive algorithm that uses dynamic relation which have small correlation. The performance of proposed algorithm is demonstrated with the computer simulation of position control of electric motor. In this simulation, the adaptive low is adopted to control electric motor and the Presence of chaotic signal in feedback signal is proved by using several method such as time series, fourier spectrum phase portrait method.

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Application of EO-1 HYPERION Data to Classifying Geological Materials

  • Choe, E.Y.;Yoon, W.J.;Kang, M.K.;Kim, T.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.576-578
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    • 2003
  • Hyperspectral image divides VNIR region to over 200 bands which can show continuous spectrum with 10 nm spectral resolution. This property is useful in geology where a spectral feature which is decided by chemical compositions and crystalline structures is recorded well. While this field has been studied variously in foreign countries, the studies are in the early stage in Korea. In this study, characteristic materials associated with AMD were classified by using EO-1 HYPERION data which is a spaceborne hyperspectral image and topographical map and DEM and geochemical map were analyzed in conjunction with the image in order to examine that classified minerals are secondary minerals by AMD.

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A Study on the Photoisomerization and Physical Properties for Mixtures of Phospholipid and Fatty Acid containing Azobenzene (아조벤젠기를 가지는 지방산과 인지질의 혼합물에 대한 광이성화 현상 및 물성에 관한 연구)

  • Park, Keun-Ho;Lee, Soo;Byun, Yong-Jin
    • Journal of the Korean Applied Science and Technology
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    • v.16 no.4
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    • pp.281-286
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    • 1999
  • We carried out this subject to observe photoisomerization using 8A5H and phospholipid(DLPC) containing azobenzene group which has reversible to cis-trans by light irradiation. We investigated the photoisomerization and property of the monolayer film on quartz substrate prepared by the mixture of 8A5H and phospholipid deposited using Langmuir-Blodgett(LB) method. It was found that the absorption spectrum of the 8A5H and phospholipid LB monolayer was induced to photoisomerization by alternate light irradiation. And the absorbance of both the solution of mixtures of 8A5H-phospholipid and LB film was reversibly changed by the acid-base exposure and alternate temperatures.

Spectroscopic Properties and Ligand Field Analysis of Pentaammine(imidazole)chromium(III) Perchlorate

  • 최종하
    • Bulletin of the Korean Chemical Society
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    • v.20 no.1
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    • pp.81-84
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    • 1999
  • The emission and excitation spectra of [Cr(NH3)5(imH)](ClO4)3·H2O (imH=imidazole) taken at 77 K are reported. The 298 K visible and far-infrared spectra are also measured. The vibrational intervals of the electronic ground state are extracted from the far-infrared and emission spectra. The ten electronic bands due to spin-allowed and spin-forbidden transitions are assigned. Using the observed transitions, a ligand field analysis has been performed to determine the bonding properties of coordinated imidazole in the title chromium(Ⅲ) complex. It is confirmed that nitrogen atom of the imidazole ligand has a medium it-acceptor property toward chromium(Ⅲ) ion. The zero-phonon line in the excitation spectrum splits into two components by 181 cm-1, and the large 2Eg splitting can be reproduced by the ligand field theory.

Research Trends Analysis of Machine Learning and Deep Learning: Focused on the Topic Modeling (머신러닝 및 딥러닝 연구동향 분석: 토픽모델링을 중심으로)

  • Kim, Chang-Sik;Kim, Namgyu;Kwahk, Kee-Young
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.2
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    • pp.19-28
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    • 2019
  • The purpose of this study is to examine the trends on machine learning and deep learning research in the published journals from the Web of Science Database. To achieve the study purpose, we used the abstracts of 20,664 articles published between 1990 and 2017, which include the word 'machine learning', 'deep learning', and 'artificial neural network' in their titles. Twenty major research topics were identified from topic modeling analysis and they were inclusive of classification accuracy, machine learning, optimization problem, time series model, temperature flow, engine variable, neuron layer, spectrum sample, image feature, strength property, extreme machine learning, control system, energy power, cancer patient, descriptor compound, fault diagnosis, soil map, concentration removal, protein gene, and job problem. The analysis of the time-series linear regression showed that all identified topics in machine learning research were 'hot' ones.