• Title/Summary/Keyword: probability of transition

Search Result 285, Processing Time 0.032 seconds

Yulgok's Li-Qi-Zhi-Miao and Zhi-Zhonghe - on the basis of Qi-Zhi change and It's Educational Implication (율곡의 이기지묘(理氣之妙)와 치중화(致中和) - 기질변화의 도덕교육적 함의를 중심으로 ­-)

  • Shin, Soon-Jeong
    • The Journal of Korean Philosophical History
    • /
    • no.50
    • /
    • pp.9-36
    • /
    • 2016
  • This thesis aims to suggest probability of modern confrontation of Yulgok YiYi's thought. For this, find out the meaning of Li-Qi-Zhi-Miao(理氣之妙) and through the Qi-Fa-Li-Cheng-Yi-Tu(氣發理乘一途), and Li-Tong-Qi-Ju-Shou(理通 氣局說), Yin-Xim-Do-Xim-Shou(人心道心說), he creatively reveal the relation of Xin(心) Xing(性) Qing(情) Yi(意) continually. On one side he suggested the way of ideal man, on the other side he was showed adaptablity to the real world. So I think Yulgok had placed emphasis on the Zhongyong(中庸) and Yijing(周易), so he point out the meaning of ShiZhong (時中). Then he had high ideals practical Zhi-Zhonghe((致中和). So This paper is to find out his foundation of epistemology, and then to know It's modern meaning of methodology of moral Education's Implication on the relation of Xin(心) Xing(性) Qing(情) Yi(意). So We ca find out Ji(機) is very important the transition of Qi-Zhe(氣質).

Context-Dependent Classification of Multi-Echo MRI Using Bayes Compound Decision Model (Bayes의 복합 의사결정모델을 이용한 다중에코 자기공명영상의 context-dependent 분류)

  • 전준철;권수일
    • Investigative Magnetic Resonance Imaging
    • /
    • v.3 no.2
    • /
    • pp.179-187
    • /
    • 1999
  • Purpose : This paper introduces a computationally inexpensive context-dependent classification of multi-echo MRI with Bayes compound decision model. In order to produce accurate region segmentation especially in homogeneous area and along boundaries of the regions, we propose a classification method that uses contextual information of local enighborhood system in the image. Material and Methods : The performance of the context free classifier over a statistically heterogeneous image can be improved if the local stationary regions in the image are disassociated from each other through the mechanism of the interaction parameters defined at he local neighborhood level. In order to improve the classification accuracy, we use the contextual information which resolves ambiguities in the class assignment of a pattern based on the labels of the neighboring patterns in classifying the image. Since the data immediately surrounding a given pixel is intimately associated with this given pixel., then if the true nature of the surrounding pixel is known this can be used to extract the true nature of the given pixel. The proposed context-dependent compound decision model uses the compound Bayes decision rule with the contextual information. As for the contextual information in the model, the directional transition probabilities estimated from the local neighborhood system are used for the interaction parameters. Results : The context-dependent classification paradigm with compound Bayesian model for multi-echo MR images is developed. Compared to context free classification which does not consider contextual information, context-dependent classifier show improved classification results especially in homogeneous and along boundaries of regions since contextual information is used during the classification. Conclusion : We introduce a new paradigm to classify multi-echo MRI using clustering analysis and Bayesian compound decision model to improve the classification results.

  • PDF

The Determinants of Working Poor' Poverty-Exit Possibility : Path Dependency of Working Poor Labor Market (근로빈곤층의 빈곤탈출 결정요인 연구 : 근로빈곤노동시장의 경로제약성을 중심으로)

  • Ji, Eun-Jeong
    • Korean Journal of Social Welfare
    • /
    • v.59 no.3
    • /
    • pp.147-174
    • /
    • 2007
  • This study examines how path dependency of working poor labor market segmented from the primary and the secondary labor market affects employment and quality of employment of working poor. It Further examines how path dependency makes working poor to remain in the labor market and makes it difficult for them to escape from a vicious poverty cycle. Data is based on the $3{\sim}7th$ Korea Labor and Income Panel Study(KLIPS). Markov's transition probability and discrete-time hazard analysis are used for analysis. This study finds that Korea labor market is divided into three parts; the primary labor market, the secondary labor market and the working poor labor market. The proportion of employed poor has been reduced, but the proportion of non economically-active working poor has been increased and has become the main group among the working poor. This shows that labor demand of working poor is fundamentally lacking and there are structural barriers that block working poor's employment itself. The regression analysis shows that the longer working poor labor market participation is, the lower poverty-exit rate. This is an evidence of vicious poverty cycle that the poor have little chance to exit from working poor labor market, once they step into it. Therefore, the longer their participation in poor labor market, the more likely they would move only within the closed working poor labor market. Consequently, it is necessary to fundamentally reform labor market structure and to alleviate negative perception and discrimination about the poor labor while activating labor demand.

  • PDF

A Panel Study on Determinants of Catastrophic Health Expenditure of the Middle- and Old-Aged Households (중·고령 가구의 과부담 의료비 발생의 결정요인에 관한 패널연구)

  • Park, Jin Yeung;Jung, Kee Taig;Kim, Yong Min
    • Health Policy and Management
    • /
    • v.24 no.1
    • /
    • pp.56-70
    • /
    • 2014
  • Background: Korea shows rapid population aging and increase in healthcare service use and expenditure. Also, this would be accelerated because of the baby boomers who will be 65 years old and more in 2020. Chronic disease is another reason that increases the use of healthcare service and expenditure of the middle- and old-aged households. Catastrophic health expenditure (CHE) is the index which can indicate the households' burden of health spending. Despite the importance, there are few studies on CHE of middle- and old-aged households and especially no panel study yet. This is the reason that this study is carried out. Methods: This study used 3-year data from the Korea Welfare Panel Study conducted from 2009 to 2011. We defined CHE if a household's health expenditure is equal or greater than the threshold value if income remaining after subsistence needs has been met. We used 4 different threshold values which are 10%, 20%, 30%, and 40%. In order to look at the households which experienced CHE, we conducted panel logit analysis after correspondence analysis and conditional transition probability analysis. Results: This study showed three notable results. First, there has been a difference among age groups, which implies that the older people are, the more easily they can experience CHE. Second, the households with no private insurance are shown to have a higher CHE occurrence rate. Lastly, there has been a significant difference among the kinds of chronic diseases. The households which have cancer, cerebrovascular disease, and heart disease have a higher CHE occurrence rate. However, the households with diabetes have no significant effects to CHE occurrence. Also, hypertension has a negative effect to the occurrence. Conclusion: With the results, it can be implied that elderly people with chronic disease are more needed in medical coverage and healthcare. Also, private insurance can play its role in protecting households from CHE. Therefore, it needs to conduct studies on CHE especially about different age groups, private insurance, and chronic disease.

A Study on the Theory of $\frac {1}{f}$ Noise in Electronic Devies (전자소자에서의 $\frac {1}{f}$잡음에 관한 연구)

  • 송명호
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.3 no.1
    • /
    • pp.18-25
    • /
    • 1978
  • The 1/f noise spectrum of short-circuited output drain current due to the Shockley-Read-Hal] recombination centers with a single lifetime in homogeneous nondegenerate MOS-field effcte transtors with n-type channel is calculated under the assumptions that the quasi-Fermi level for the carriers in each energy band can not be defined if we include the fluctuation for time varying quantities. and so 1/f noise is a majority carrier effect. Under these assumptions the derived 1/f noise in this paper show some essential features of the 1/f noise in MOS-field effect transistors. That is, it has no lowfrequency plateau and is proportionnal to the channel cross area A and to the driain bias voltage Vd and inversely proportional to the channel length L3 in MOS field effect transistors. This model can explain the discrepancy between the transition frequency of the noise spectrum from 1/f- response to 1/f2 and the frequency corresponding to the relaxation time related to the surface centers in p-n junction diodes. In this paper the results show that the functional form of noise spectrum is greatly influenced by the functional forms of the electron capture probability cn (E) and the relaxation time r (E) for scattering and the case of lattice scattering show to be responsible for the 4 noise in MOS fold effect transistors. So we canconclude that the source of 1/f noise is due to lattice scattering.

  • PDF

Performance Analysis of MAP Algorithm by Robust Equalization Techniques in Nongaussian Noise Channel (비가우시안 잡음 채널에서 Robust 등화기법을 이용한 터보 부호의 MAP 알고리즘 성능분석)

  • 소성열
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.9A
    • /
    • pp.1290-1298
    • /
    • 2000
  • Turbo Code decoder is an iterate decoding technology, which extracts extrinsic information from the bit to be decoded by calculating both forward and backward metrics, and uses the information to the next decoding step Turbo Code shows excellent performance, approaching Shannon Limit at the view of BER, when the size of Interleaver is big and iterate decoding is run enough. But it has the problems which are increased complexity and delay and difficulty of real-time processing due to Interleaver and iterate decoding. In this paper, it is analyzed that MAP(maximum a posteriori) algorithm which is used as one of Turbo Code decoding, and the factor which determines its performance. MAP algorithm proceeds iterate decoding by determining soft decision value through the environment and transition probability between all adjacent bits and received symbols. Therefore, to improve the performance of MAP algorithm, the trust between adjacent received symbols must be ensured. However, MAP algorithm itself, can not do any action for ensuring so the conclusion is that it is needed more algorithm, so to decrease iterate decoding. Consequently, MAP algorithm and Turbo Code performance are analyzed in the nongaussian channel applying Robust equalization technique in order to input more trusted information into MAP algorithm for the received symbols.

  • PDF

Career Developmental Characteristic in Latent Classes based on Belief in a Just World and Social class of Middle-aged adult (중·장년 성인의 정당한 세상에 대한 믿음과 사회계층에 따른 잠재집단의 진로발달 특성)

  • Kim, Dohyun;Jang, Jinyi
    • 한국노년학
    • /
    • v.41 no.4
    • /
    • pp.567-586
    • /
    • 2021
  • This study explored what latent classes appear according to the combination of Belief in a Just World (BJW) and social class of middle-aged adults, and examined whether there are differences in career transiton, perceiving a calling, and working as meaning in each class and what characteristics they have. 224 middle-aged people who experienced turnover through online and offline were surveyed and analyzed by Latent Profile Analysis. The participants were divided into 5 latent classes such as; 'Relative self-satisfaction', 'Social contentment', 'Relative deprived', 'Fairness trust' and 'Fairness distrust'. According to the results of MANOVA analysis to figure out if there are differences in career transitions, perceiving a calling, and working as meaning depending on latent classes, significant differences were appeared among latent classes. Finally, multinominal logistic regression analysis was conducted to examine whether demographic characteristics and 'decent work' affect the latent group classification. As a result, the more 'decent work', the higher the probability of belonging to the class with high BJW and social class. On the basis of the results of this study, the implications on the case conceptualization and counseling strategy for adults focusing on BJW and Social class in adults and future research were discussed.

A Nuclide Transport Model in the Fractured Rock Medium Using a Continuous Time Markov Process (연속시간 마코프 프로세스를 이용한 균열암반매질에서의 핵종이동 모델)

  • Lee, Y.M.;Kang, C.H.;Hahn, P.S.;Park, H.H.;Lee, K.J.
    • Nuclear Engineering and Technology
    • /
    • v.25 no.4
    • /
    • pp.529-538
    • /
    • 1993
  • A stochastic way using continuous time Markov process is presented to model the one-dimensional nuclide transport in fractured rock matrix as an extended study for previous work [1]. A nuclide migration model by the continuous time Markov process for single planar fractured rock matrix, which is considered as a transient system where a process by which the nuclide is diffused into the rock matrix from the fracture may be no more time homogeneous, is compared with a conventional deterministic analytical solution. The primary desired quantities from a stochastic model are the expected values and variance of the state variables as a function of time. The time-dependent probability distributions of nuclides are presented for each discretized compartment of the medium given intensities of transition. Since this model is discrete in medium space, parameters which affect nuclide transport could be easily incorporated for such heterogeneous media as the fractured rock matrix and the layered porous media. Even though the model developed in this study was shown to be sensitive to the number of discretized compartment showing numerical dispersion as the number of compartments are decreased, with small compensating of dispersion coefficient, the model agrees well to analytical solution.

  • PDF

Markov Chain Model for Synthetic Generation by Classification of Daily Precipitation Amount into Multi-State (강수계열의 상태분류에 의한 Markov 연쇄 모의발생 모형)

  • Kim, Ju-Hwan;Park, Chan-Yeong;Kang, Kwan-Won
    • Water for future
    • /
    • v.29 no.6
    • /
    • pp.179-188
    • /
    • 1996
  • The chronical sequences of daily precipitation are of great practical importance in the planning and operational processes of water resources system. A sequence of days with alternate dry day and wet day can be generated by two state Markov chain model that establish the subsequent daily state as wet or dry by previously calculated vconditional probabilities depending on the state of previous day. In this study, a synthetic generation model for obtaining the daily precipitation series is presented by classifying the precipitation amount in wet days into multi-states. To apply multi-state Markov chain model, the daily precipitation amounts for wet day are rearranged by grouping into thirty states with intervals for each state. Conditional probabilities as transition probability matrix are estimated from the computational scheme for stepping from the precipitation on one day to that on the following day. Statistical comparisons were made between the historical and synthesized chracteristics of daily precipitation series. From the results, it is shown that the proposed method is available to generate and simulate the daily precipitation series with fair accuracy and conserve the general statistical properties of historical precipitation series.

  • PDF

Modeling the Spatial Dynamics of Urban Green Spaces in Daegu with a CA-Markov Model (CA-Markov 모형을 이용한 대구시 녹지의 공간적 변화 모델링)

  • Seo, Hyun-Jin;Jun, Byong-Woon
    • Journal of the Korean Geographical Society
    • /
    • v.52 no.1
    • /
    • pp.123-141
    • /
    • 2017
  • This study predicted urban green spaces for 2020 based on two scenarios keeping or freeing the green-belt in the Daegu metropolitan city using a hybrid Cellular Automata(CA)-Markov model and analyzed the spatial dynamics of urban green spaces between 2009 and 2020 using a land cover change detection technique and spatial metrics. Markov chain analysis was employed to derive the transition probability for projecting land cover change into the future for 2020 based on two land cover maps in 1998 and 2009 provided by the Ministry of Environment. Multi-criteria evaluation(MCE) was adopted to develop seven suitability maps which were empirically derived in relation to the six restriction factors underlying the land cover change between the years 1998 and 2009. A hybrid CA-Markov model was then implemented to predict the land cover change over an 11 year period to 2020 based on two scenarios keeping or freeing the green-belt. The projected land cover for 2009 was cross-validated with the actual land cover in 2009 using Kappa statistics. Results show that urban green spaces will be remarkably fragmented in the suburban areas such as Dalseong-gun, Seongseo, Ansim and Chilgok in the year 2020 if the Daegu metropolitan city keeps its urbanization at current pace and in case of keeping the green-belt. In case of freeing the green-belt, urban green spaces will be fragmented on the fringes of the green-belt. It is thus required to monitor urban green spaces systematically considering the spatial change patterns identified by this study for sustainably managing them in the Daegu metropolitan city in the near future.

  • PDF