• Journal of the Korean Chemical Society
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• v.33 no.1
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• pp.25-30
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• 1989

The nonstoichiometry and electrical conductivities of Tm$_2O_3$ were studied in the oxygen pressure $2\;{\times}\;10^{-1}\;-1\;{\tiems}\;10^{-4}$ atm under the temperature ranges from 700 to 1100$^{\circ}$C. The x values of $TmO_{1.5+X}$ were varied in the ranges of 0.1004∼0.0110. The enthalpies of formation of the nonstoichiometric compounds were found to be 5.40-4.71 kcal/mole, and the average activation energy obtained from the plots of log conductivity vs. 1000/T was 1.65 eV. The Po$_2$ dependencies of the electrical conductivity were found to be linear and closely approaximated to ${\sigma}{\alpha} PO{\frac{1}{2}^{/5.3}$ in the temperature range 700∼1100$^{\circ}$C. The nonstoichiometry and the electrical conductivity are due to trivalent metal vacancies.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.03a
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• pp.848-853
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• 2004

Regarding to the project SUAV (Smart Unmanned Aerial Vehicle) in KARI (Korea Aerospace Research Institute), several engine configurations has been evaluated. However it's not an easy task to collect all the necessary data of each engine for the analysis. Usually, some kind of modeling technique is required in order to determine the unknown data. In the present paper a qualitative method for reverse engineering is proposed, in order to identify some design patterns and relationships between parameters. The method can be used to estimate several parameters that usually are not provided by the manufacturer. The method consists of modeling an existing engine and through a simulation, compare its transient behavior with its operating envelope. In the simulation several parameters such as thermodynamics, performance, safety and mechanics concerning to the definition of operation-envelope, have been discussed qualitatively. With the model, all engine parameters can be estimated with acceptable accuracy, making possible the study of dependencies among different parameters such as power-turbine total inertia, TIT, take-off time and part load, in order to check if the engine transient performance is within the design criteria. For more realistic approach and more detailed design requirements, it will be necessary to enhance the compressor map first, and more realistic estimated values must be taken into account for intake-loss, bleed-air and auxiliary power extraction. The relative importance of these “unknown” parameters must be evaluated using sensitivity analysis in the future evaluation. Moreover, fluid dynamics, thermal analysis and stress analysis necessary for the resulting life assessment of en engine, will not be addressed here but in a future paper. With the methodology presented in the paper was possible to infer the relationships between operation-envelope and engine parameters.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.53-63
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• 2011

Many techniques have been proposed to store and query XML data efficiently. One way achieving this goal is using relational database by transforming XML data into relational format. It is important to transform schema to preserve the content, the structure and the constraints of the semantics information of the XML document. Especially, key constraints are an important part of database theory. Therefore, the proposal technique has considered the semantics of XML as expressed by primary keys and foreign keys. And, the proposal technique can preserve not only XML data constraints but also the content and the structure and the semantics of XML data thru transformation process. Transforming information is the content and the structure of the document(the parent-child relationship), the functional dependencies, semantics of the document as captured by XML key and keyref constraints. Because of XML schema transformation ensures that preserving semantic constraints, the advantages of these transformation techniques do not need to use the stored procedure or trigger which these data ensures data integrity in the relational database. In this paper, there is not chosen the ID/IDREF key which supported in DTD, the inheritance relationship, the implicit referential integrity.

• Journal of the Korean Data and Information Science Society
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• v.23 no.2
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• pp.235-245
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• 2012

Logistic discrimination is an useful statistical technique for quantitative analysis of financial service industry. Especially it is not only easy to be implemented, but also has good classification rate. Generalized additive model is useful for credit scoring since it has the same advantages of logistic discrimination as well as accounting ability for the nonlinear effects of the explanatory variables. It may, however, need too many additive terms in the model when the number of explanatory variables is very large and there may exist dependencies among the variables. Mixtures of factor analyzers can be used for dimension reduction of high-dimensional feature. This study proposes to use the low-dimensional factor scores of mixtures of factor analyzers as the new features in the generalized additive model. Its application is demonstrated in the classification of some real credit scoring data. The comparison of correct classification rates of competing techniques shows the superiority of the generalized additive model using factor scores.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.44-48
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• 2007

In recent years, the relationships and inter-dependencies between the countries in East Asia have deepened, and the vision for regional cohesion such as the East Asian Community have been gradually elaborated. A Grand Design for Northeast Asia is one of these comprehensive visions that aim to improve and develop international infrastructure through cooperation in the field of transportation, energy, environment, and information technology. This study paid attention to the possibility for a system for regional cohesion and cooperation in spatial development in East Asia, and analyzed the roles of the ESDP according to the requirements of the East Asian situation. As a result, it was understood that while the development of infrastructure is a main stream in the case of the regional cohesion in East Asia, the cooperative visions for the conservation of natural and cultural heritage, which are being positioned as an important policy in the EU, have not been seen. It is a very important subject to promote the policy cohesion/cooperation on the conservation and management of natural/cultural heritage and the development of tourism infrastructure for the sustainable development of East Asia, considering the trends in the growth of the interchange population and tourism market in East Asia. It was discussed that the role of research networks like the International Landscape Architectural Symposium of Korea, China and Japan is becoming important in supporting this policy cohesion and in grasping the present conditions and trends of the spatial development of these counties.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1189-1197
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• 2011

To manage sensing information such as temperature, humidity and so on efficiently, it is need to use special purpose protocol. In this reason, IETF WG proposed CoAP protocol, and it is on Internet draft. If it is possible to work on a specific protocol, sensor end-nodes and network devices will be managed efficiently. However, end-nodes have restricted resources, it is hard to applying to CoAP protocol directly. In this paper we analyse a CoAP protocol stack for USN. To verify this protocol quickly, at first we implemented CoAP protocol stack over PC environments. After the logical verification, we applied this protocol to the USN environment. To do this, we ported CoAP protocol to Cygwin environment, and proposed solutions for hardware dependencies, and it is verified through experiments.

• Journal of KIISE:Software and Applications
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• v.32 no.1
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• pp.10-21
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• 2005

Software architecture is increasingly being viewed as a key design in developing complex software systems, which largely affects the achievement of quality attributes. During the architecture-based software development, therefore, architectural transformation is needed to achieve quality attributes. Due to the variety of design alternatives and the poor predictability of the effects of the transformation, however, it is not easy to apply architectural transformation. Therefore, the method is needed to support architectural transformation through systematically analyzing the effects of applying various design alternatives to the architecture. This paper proposes an approach to support software architecture transformation. Based on architectural design decisions and the constraints on them included in the architecture, our approach defines a decision constraint graph representing the dependencies among architectural design decisions. Through using the decision constraint graph, architectural transformation can be systematically performed by understanding the effects of applying a transformation. While this work supports more understanding of applying architectural transformation, it also helps reconstruct a software architecture to improve the quality of the software.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.5_6
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• pp.258-264
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• 2003

VLIW architecture has emerged as one of the most effective architectures in dealing with multimedia applications. In multimedia applications, there is ample potential for parallelizing the execution of multiple operations because such applications typically have data intensive processing which often has limited data and/or control dependencies. As the degree of instruction-level parallelism increases, non-clustered VLIW architectures scale poorly because of the tremendous register port pressure. Therefore, clustered VLIW architecture is definitely preferred over non-clustered VLIW architecture when a higher degree of parallelizing is possible as in the case of multimedia processing However, having multiple clusters in an architecture implies that the amount of hardware is quite large, and therefore, power consumption becomes a very crucial issue. In this paper, we propose an algorithm to minimize the peak power consumption without incurring little or no delay penalty. The effectiveness of our algorithm has been verified by various sets of experiments, and up to 30.7% reduction in the peak power consumption is observed compared with the results that is optimized to minimize resources only.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.53-64
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• 2002

Association rule discovery is a method that detects associative relationships between items or attributes in transactions. It is one of the most widely studied problems in data mining because it offers useful insight into the types of dependencies that exist in a data set. However, most studies on association rule discovery have the drawback that they can not discover association rules among user groups that have common characteristics. To solve this problem, we segment the set of users into user-subgroups by using feature selection and the user segmentation, thus local association rules in user-subgroup can be discovered. To evaluate that the local association rules are more appropriated than the global association rules in each user-subgroup, derived local association rules are compared with global association rules in terms of several evaluation measures.

• Journal of KIISE:Software and Applications
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• v.32 no.2
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• pp.119-127
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• 2005

Product line analysis is an activity for analyzing requirements, their relationships, and constraints in a product line before engineering product line assets (e.g., architectures and components). A feature-oriented commonality and variability analysis (called feature modeling) has been considered an essential part of product line analysis. Commonality and variability analysis, although critical, is not sufficient to develop reusable and adaptable product line assets. Dependencies among features and feature binding time also have significant influences on the design of product line assets. In this paper. we propose a feature-oriented product line analysis model that extends the existing feature model in terms of three aspects (i.e., feature commonality and variability, feature dependency, and feature binding time). To validate the consistency among the three aspects we formally define the feature-oriented product line analysis model and provide rules for checking consistency.