• Title/Summary/Keyword: 엔트로피 모델

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Analysis for Adsorption Equilibrium, Kinetic and Thermodynamic Parameters of Aniline Blue Using Activated Carbon (활성탄을 이용한 아닐린 블루의 흡착평형, 동역학 및 열역학 파라미터에 대한 해석)

  • Lee, Jong Jib
    • Korean Chemical Engineering Research
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    • v.57 no.5
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    • pp.679-686
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    • 2019
  • Characteristics of adsorption equilibrium, kinetic and thermodynamic of aniline blue onto activated carbon from aqueous solution were investigated as function of initial concentration, contact time and temperature. Adsorption isotherm of aniline blue was analyzed by Langmuir, Freundlich, Redlich-Peterson, Temkin and Dubinin-Radushkevich models. Langmuir isotherm model fit better with isothermal data than other isotherm models. Estmated Langmuir separation factors ($R_L=0.036{\sim}0.068$) indicated that adsorption process of aniline blue by activated carbon could be an effective treatment method. Adsorption kinetic data were fitted to pseudo first order model, pseudo second order model and intraparticle diffusion models. The kinetic results showed that the adsorption of aniline blue onto activated carbon well followed pseudo second-order model. Adsorption mechanism was evaluated in two steps, film diffusion and intraparticle diffusion, by intraparticle diffusion model. Thermodynamic parameters such as Gibbs free energy, enthalpy and entropy for adsorption process were estimated. Enthalpy change (48.49 kJ/mol) indicated that this adsorption process was physical adsorption and endothermic. Since Gibbs free energy decreased with increasing temperature, the adsorption reaction became more spontaneously with increasing temperature. The isosteric heat of adsorption indicated that there is interaction between the adsorbent and the adsorbate because the energy heterogeneity of the adsorbent surface.

Study of Thermodynamic Mechanism for Using Organic Solvent to Extract Isoflavone from Soybean Residuals (대두 잔기로부터 유기용매에 의한 이소플라본 추출 열역학적 메카니즘 연구)

  • Hua, Li;Guoqin, Hu;Dan, Li
    • Journal of the Korean Chemical Society
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    • v.53 no.4
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    • pp.427-431
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    • 2009
  • The thermodynamical mechanism of the extraction of soybean isoflavones from soybean residuals using organic solvent method has been studied. On the basis of experiments, a simple model for determining the distribution coefficients in organic solvent extraction was employed to calculate the thermodynamical functions between $K,\;{\Delta}H^0,\;{\Delta}S^0\;and\;{\Delta}G^0$ in the soybean isoflavones extraction process. The results show that the soybean isoflavones extraction is an endothermic and an entropy-increasing process: the ${\Delta}G^0$ decreases when the temperature arises.

Frequency Dependent (Runlength, Level) Coding of DCT Coefficients (DCT 변환계수의 인덱스의존 (줄길이, 레벨) 부호화)

  • Lee, Jong-Hwa;Kang, Dong-Wook;Kang, Su-Won;Chang, Joon-Ho;Lee, Choong-Woong
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.11
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    • pp.78-87
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    • 1994
  • In this paper, we have addressed a new approach to encode the DCT coefficients efficiently by exploiting the structural differences among the probability distribution functions of them. We have proved analytically that if signals are separated according to their source models, the entropy of the separated signals decreases below that of the unseparated signals. And simulation results show that the average codelength decrease when each (runlength, level) symbol is encoded adaptively according to the index associated with the symbol.

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An Architecture for Supporting QoS Multicast Routing in Mobile Ad-hoc Networks (모바일 Ad-hoc 네트워크에서 QoS 멀티캐스트 라우팅을 지원하기 위한 구조)

  • An Beong ku
    • Journal of Korea Multimedia Society
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    • v.8 no.1
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    • pp.62-70
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    • 2005
  • In this paper, we present an architecture for supporting QoS multicast routing in mobile ad-hoc networks. The proposed architecture consists of three parts as follows. The first part is a mobility-based clustering as underlying structure for supporting stable multicast services. In the second part, a framework which can support and evaluate the stability of route and network for supporting QoS routing is presented. In the third part, we describe a method which uses two structures of the first and second parts for supporting QoS multicast routing services. The performance evaluation of our proposed architecture is accomplished via modeling and simulation using the Optimized Network Engineering tool(OPNET).

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Uncertainty of Agricultural product Prices by Information Entropy Model using Probability Distribution for Monthly Prices (월별 가격의 확률분포를 이용한 정보엔트로피 모델에 의한 농산물가격의 불확정성)

  • Eun, Sang-Kyu;Jung, Nam-Su;Lee, Jeong-Jae;Bae, Yeong-Joung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.2
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    • pp.7-14
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    • 2012
  • To analyze any given situation, it is necessary to have information on elements which affect the situation. Particularly, there is greater variability in both frequency and magnitude of agricultural product prices as they are affected by various unpredictable factors such as weather conditions etc. This is the reason why it is difficult for the farmers to maintain their stable income through agricultural production and marketing. In this research, attempts are made to quantify the entropy of various situations inherent in the price changes so that the stability of farmers' income can be increased. Through this research, we developed an entropy model which can quantify the uncertainties of price changes using the probability distribution of price changes. The model was tested for its significance by comparing its simulation outcomes with actual ranges and standard deviations of price variations of the past using monthly agricultural product prices data. We confirmed that the simulation results reflected the features of the ranges and standard deviations of actual price variations. Also, it is possible for us to predict standard deviations for changed prices which will occur after a certain time using the information entropy obtained from relevant agricultural product price data before the time.

Korean Part-of-Speech Tagging using Automatically Acquired Lexical Information (어휘 정보의 자동 추출과 이를 이용한 한국어 품사 태깅)

  • Kang, In-Ho;Kim, Do-Wan;Lee, Sin-Mok;Kim, Gil-Chang
    • Annual Conference on Human and Language Technology
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    • 1999.10d
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    • pp.117-122
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    • 1999
  • 본 연구는 형태소 분석에 필요한 언어 지식과 품사 태깅에 필요한 확률 정보를 별도의 언어 지식 추가 없이 학습 말뭉치를 통해서 얻어내는 방법을 제안한다. 먼저 품사 부착된 학습 말뭉치로부터 형태소 사전과 결합 정보를 추출한다. 그리고 자주 발생하는 어절 및 해석상 모호성이 많은 어절에 대해서는 학습 말뭉치에서 발견된 형태소 분석 결과를 저장하여 형태소 분석에 소요되는 시간과 형태소 분석의 정확률을 높인다. 또한 미등록어의 많은 부분을 차지하는 인명, 지명, 조직명에 대해서는 정보 추출 분야에서 사용하는 고유 명사 분류법으로 해결한다. 품사 태깅을 위해서는 품사열 정보와 품사열 정보로는 해결할 수 없는 경우를 위한 어휘 정보를 학습 말뭉치에서 추출한다. 품사열 정보와 어휘 정보는 정형화 과정을 거쳐 최대 엔트로피 모델의 자질로 사용되어 품사 태깅 시스템을 위한 확률 분포를 구성한다. 본 연구에서 제안하는 방법은 학습 말뭉치를 기반으로 한다는 특성에 의해 다양한 영역에 사용하기 쉽다. 또한 어휘 정보로 품사 문맥 정보를 보완하기 때문에 품사 분류 체계와 형태소 해석 규칙에 영향을 적게 받는다는 장점을 가진다. MATEC '99 데이터 실험 결과 형태소 단위로 94%의 재현률과 93%의 정확률을 얻을 수 있었다.

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Performance Improvement of Free Power Gas Turbine Type Gas Turbine Engine by Using of a MAT Cycle (MAT사이클을 이용한 분리축 가스터빈 엔진의 성능향상에 관한 연구)

  • 공창덕;김경두;기자영;최인수
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2001.04a
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    • pp.54-58
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    • 2001
  • In order to Improve the performance of a free power turbine type gas turbine engine by injecting the atomized water into a compressor inlet., a study on Moisture Air Turbine (MAT) cycle was proposed. Compressor work by air-water mixtures in phase change was theoretically considered, and it was found that the water evaporation might reduce the compressor work. Cycle model calculations predicted that power increments of 21.7%, 20.2% and 18.4% by 1.5% water to the air flow rate at the compressor intake with rotational shaft speeds of 1000, 1210, 1350 rps were obtained, and also thermal efficiency due to the reduction of compressor work was improved.

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Implementation of a Dialogue Interface System Using Pattern Matching and Statistical Modeling (패턴 매칭과 통계 모델링을 이용한 대화 인터페이스 시스템의 구현)

  • Kim, Hark-Soo
    • The Journal of Korean Association of Computer Education
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    • v.10 no.3
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    • pp.67-73
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    • 2007
  • In this paper, we review essential constituents of a dialogue interface system and propose practical methods to implement the each constituent. The implemented system consists of a discourse manager, an intention analyzer, a named entity recognizer, a SQL query generator, and a response generator. In the progress of implementation, the intention analyzer uses a maximum entropy model based on statistics because the domain dependency of the intention analyzer is comparatively low. The others use a simple pattern matching method because they needs high domain portability. In the experiments in a schedule arrangement domain, the implemented system showed the precision of 88.1% in intention analysis and the success rate of 83,4% in SQL query generation.

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A Test for Psychobiologic Entropy Model on Cancer Related Fatigue among Patients with Solid Tumors (고형암 환자의 암성피로에 대한 정신생리학적 엔트로피 모델 검증)

  • Oh, Chang Hee;Park, Hyunyoung;Lee, Ji Suk;Choi, Ja Yun
    • Korean Journal of Adult Nursing
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    • v.28 no.1
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    • pp.1-12
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    • 2016
  • Purpose: The purpose of this study was to test a Winningham's psychobiologic entropy model (PEM) on cancer related fatigue (CRF) among patients with solid tumors. Methods: Participants consisted of 213 patients with solid tumors recruited from December, 2012 through June, 2013, in a university hospital, in Hwasun, South Korea. Primary symptoms, adjustment, physical activity, status of nutrition and fatigue were measured using structured questionnaires. Collected data were analyzed using SPSS 21.0 and AMOS 21.0 programs. Results: The modified model tested provided a reasonable fit to the data ($x^2=65.80$ [df=30, p<.001], TLI=.92, CFI=.95, RMSEA=.08, SRMR=.07). Primary symptoms (dyspnea, anxiety, depression and insomnia) had direct positive effects on CRF. Adjustment and status of nutrition showed indirect negative effects on CRF. However, the impact of physical activity was not significant. These variables explained 49.2% of the variance of CRF among solid tumor patients. Conclusion: The findings demonstrate that the tested model explain some CRF among solid tumor patients and warrant future research considering the cancer-related clinical factors of the given population.

Unproved Speech Enhancement Algorithm employing Multi-band Power Subtraction and Wavelet Packets Decomposition (Multi-band Power Subtraction과 Wavelet Packets Decomposition을 이용한 개선된 음성 향상 방법)

  • Lee Yoon-Chang;Kwak Jeong-Hoon;Ahn Sang-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.6C
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    • pp.589-602
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    • 2006
  • 잡음은 음성과 관련된 시스템의 성능을 제한하는 주된 원인이기 때문에 음성향상과 관련된 연구는 꾸준히 계속되어왔다. 전통적인 음성향상 방법은 무성음과 잡음을 구분하지 알기 때문에 잡음제거 과정에서 무성음이 함께 제거되는 단점이 있으며, 웨이블릿 기반의 전통적인 잡음제거 방법은 각 대역마다 동일한 문턱값을 사용하기 때문에 시변 환경에서 성능이 떨어지는 단점이 있다. 이 단점들을 개선하기위해 다중대역 파워 차감법과 Perceptual 웨이블릿 패킷 분해를 이용한 웨이블릿 기반의 개선된 음성향상 방법을 제안한다. 전처리 과정으로 다중대역 파워 차감법을 사용하여 광대역 잡음을 제거하고 뮤지컬 잡음의 발생을 줄이며, psycho-acoustic 모델 기반 Perceptual 웨이블릿 패킷으로 신호를 분해한 후 각 웨이블릿 노드의 엔트로피 비율과 음성검출을 이용하여 무성음/유성음/잡음을 구분한다. 구분된 신호에 따라 각 웨이블릿 노드마다의 문턱값을 기준으로 웨이블릿 Shrinkage를 적용하여 잡음을 제거하고 무성음이나 파워가 작은 유성음이 제거되는 오류를 최소화한다. 또한 잡음 파워 추정 과정에 적응적으로 망각 계수를 선택하여 잡음 파워 추정 오류를 최소화한다.