• Bulletin of the Korean Chemical Society
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• 제21권1호
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• pp.9-22
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• 2000

Optical-optical double resonance experiments have been used to identify and characterize five ion-pair states and several of the bound and repulsive valence states of ClF. This report provides a description of these experiments for $^{35}CIF$ and $^{37}CIF$, and a summary of the current knowledge of the valence and ion-pair states. The important role of perturbations among the rovibronic levels of the bound valence states and their utilization in the double resonance technique is discussed. The ion-pair states of the same symmetry, ${\Omega}$=$0^+$ (E and f) and 1( $\beta$ and G) interact very strongly and the spectroscopy of these states is anomalous and, hence, interesting. Comparison is made to some recent ab initio calculations for ClF. One possible explanation of the irregular vibrational energy levels and rotational constants of the ion-pair states of $O^+$ and 1 symmetry is a crossing of the diabatic potentials of these states. Some currently unresolved questions about ClF spectroscopy are posed for future work. Where appropriate, analogy is made between the electronic states of ClF and the corresponding valence and ion-pair states of $Cl_2.$.

• Journal of Contemporary Eastern Asia
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• 제20권2호
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• pp.157-173
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• 2021

In the transition to a multipolar international system, the literature has focused on great power competition while little attention has been given to the strategic possibilities of smaller states. However, as a result of globalization, states are so closely interconnected that the primary strategies of even major powers are not to achieve zero-sum solutions but to create asymmetric dependency through which they can influence the behavior of other states and non-state actors. States are assisted in this effort by a variety of tools, including setting up institutions, direct economic influence and through building different forms of infrastructure connectivity networks. By discussing asymmetric dependency situations from the perspective of the great powers, the literature presents smaller states primarily as passive actors, paralyzed by their dependence on great powers. Our paper argues that interdependence allows smaller states to effectively influence larger actors and examines strategies from which smaller states can choose in order to influence the behavior of larger states. Despite an extremely asymmetric relationship between Myanmar and China, actors in Myanmar have sought to influence China's Myanmar policy. We examine a case study of the Myitsone Dam, including Myanmar's strategic aims, chosen strategy and limitations in maneuvering space. Semi-structured interviews with local decision-makers and stakeholders are conducted in order to portray the full picture. Our study concludes that further research on the influencing strategies of small states in response to asymmetric dependence can contribute to a better understanding of the interdependence of states.

• 한국광학회지
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• 제4권2호
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• pp.233-241
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• 1993

슈뢰딩거에 의해서 거론되기 시작한 량자적 중첩상태를 광학적 측면에서 고찰한다. 양자중첩 상태의 생성, 양자 중첩상태의 비고전적 성질을 살펴보고, 거시적 중첩상태를 관측하기 어려운 이유를 알아본다.

• 한국사회복지학
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• 제42권
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• pp.7-40
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• 2000

This paper examines the changes $(1982{\sim}1992)$ of social welfare expenditures of 12 welfare states. This paper focuses on two questions. First, to what extent have there been changes in social welfare expenditure (total social welfare expenditures, income support expenditures, social service expenditures) of 12 welfare states? Second, what are the causes of the changes in social welfare expenditures? Using Comparative Welfare States Data Set by Stephens(1997) and Social Expenditure Database by OECD (1999), this paper attempts to answer two questions. Fuller-Battese model, a data analysis method in pooled cross-sectional time-series analysis, is adopted to identify variables predicting social welfare expenditure changes. This paper analyzes the predictors separately according to the types of welfare states by Esping-Andersen (1990). Predictors are different by the types of welfare states; thus, economic variables such as GDP and financial deficiency have effects on social welfare expenditures of Liberal and Corporatist welfare states. while they have no effects in Social Democratic welfare states. Political variables has effects on social welfare expenditures of Corporatist welfare states, not of Liberal and Social Democratic welfare states. Demographic variables has effects on social welfare expenditures of Social Democratic welfare states rather than Liberal and Corporatist welfare states. This paper provides an additional knowledge about social welfare expenditure changes of 12 welfare states and discusses implications for the development of welfare state in Korea.

• 한국멀티미디어학회논문지
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• 제14권8호
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• pp.965-980
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• 2011

In this paper, the use of conditional Fuzzy C-Means (CFCM) aimed at estimation of desired states of an unknown digital communication channel is investigated for blind channel equalization. In the proposed CFCM, a collection of clustered centers is treated as a set of pre-defined desired channel states, and used to extract channel output states. By considering the combinations of the extracted channel output states, all possible sets of desired channel states are constructed. The set of desired states characterized by the maximal value of the Bayesian fitness function is subsequently selected for the next fuzzy clustering epoch. This modification of CFCM makes it possible to search for the optimal desired channel states of an unknown channel. Finally, given the desired channel states, the Bayesian equalizer is implemented to reconstruct transmitted symbols. In a series of simulations, binary signals are generated at random with Gaussian noise, and both linear and nonlinear channels are evaluated. The experimental studies demonstrate that the performance (being expressed in terms of accuracy and speed) of the proposed CFCM is superior to the performance of the existing method exploiting the "conventional" Fuzzy C-Means (FCM).

• Current Optics and Photonics
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• 제6권3호
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• pp.270-281
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• 2022

Based on the transfer-matrix method (TMM), we report the characteristics of the interface states in one-dimensional (1D) composite structures consisting of two photonic crystals (PCs) composed of binary dielectrics A and B, with unit-cell configurations ABA (PC I) and BAB (PC II). The dependence of the interface states on the number of unit cells N and the boundary factor x are displayed. It is verified that the interface states are independent of N when the PC has inversion symmetry (x = 0.5). Besides, the composite structures support the formation of interface states independent of the PC symmetry, except that the positions of the interface states will be varied within the photonic band gaps. Moreover, the robustness of the interface states against nonuniformities is investigated by adding Gaussian noise to the layer thickness. In the case of inversion symmetry (x = 0.5) the most robust interface states are achieved, while for the other cases (x ≠ 0.5) interface states decay linearly with position inside the band gap. This work could shed light on the development of robust photonic devices.

• 산업기술연구
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• 제27권A호
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• pp.141-147
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• 2007

In this paper, we define the multi-states exponential cell resident time mobility model for describing the mobility characteristics of mobile user and analyzed the total cost of the hybrid method using multi-states cell resident time. Generally, the mobile user has three states for its movement, such as staying, walking and driving. This multi-states cell resident time based hybrid method reflects the movement characteristics of mobile user and adapts the location update period according to the states of mobility speed. As a results of the performance analysis, we can get the optimum parameters of the hybrid method for multi-states based mobile users.

• Asian Journal of Business Environment
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• 제8권4호
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• Journal of information and communication convergence engineering
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• 제8권6호
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• pp.609-617
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• 2010

This paper is concerned with the use of a selforganizing map (SOM) to estimate the desired channel states of an unknown digital communication channel for blind equalization. The modification of SOM is accomplished by using the Bayesian likelihood fitness function and the relation between the desired channel states and channel output states. At the end of each clustering epoch, a set of estimated clusters for an unknown channel is chosen as a set of pre-defined desired channel states, and used to extract the channel output states. Next, all of the possible desired channel states are constructed by considering the combinations of extracted channel output states, and a set of the desired states characterized by the maximal value of the Bayesian fitness is subsequently selected for the next SOM clustering epoch. This modification of SOM makes it possible to search the optimal desired channel states of an unknown channel. In simulations, binary signals are generated at random with Gaussian noise, and both linear and nonlinear channels are evaluated. The performance of the proposed method is compared with those of the "conventional" SOM and an existing hybrid genetic algorithm. Relatively high accuracy and fast search speed have been achieved by using the proposed method.

• Journal of Pharmaceutical Investigation
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• 제10권1호
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• pp.13-23
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• 1980

Bromphenol blue (BPB) was studied with rabbits in normal and disease states to understand the basic principles of hepato-biliary transport process, and the effect of disease states on the drug disposition. The time course of plasma concentration and of biliary excretion was studied in normal and $CCl_4$ intoxicated rabbits. A conspicuous retention of BPB clearance from the plasma was observed, and the slope of the first-phase of plasma curve was decreased in the intoxicated rabbits. The shape of biliary excretion was same in normal and intoxicated states, but the amount of BPB excreted into bile in the intoxicated states was much smaller than in normal states. A relationship was found which enables one to predict the pattern of uptake of BPB by the liver, and the pattern of excretion into the bile in normal states, but was not in $CCl_4$ intoxicated states. It may be that the application of this experiments would extend the effect of disease states on the drug disposition.