• Journal of the Korean Society for information Management
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• v.19 no.2
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• pp.109-130
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• 2002

This paper is mainly concerned with the matter of how organizational knowledge is represented in terms of usability by letting the members of the organization evaluate knowledge items in the problem solving situations. Organizational knowledge can be represented in the form of a visualized dynamic knowledge map since the organizational members experience constant changes in goals, kinds of problems, and the importance of alternatives to solve the given problems. The dynamic map suggested in this study is goal oriented in the sense that it represents the relationship between knowledge items across domains as well as within a domain.

• International Journal of Aeronautical and Space Sciences
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• v.18 no.2
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• pp.279-289
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• 2017

In this study, a series of conjugate heat transfer (CHT) analyses are conducted for a stage of a fully cooled high-pressure turbine (HPT) at elevated levels of free stream turbulence (Tu = 5% and 25.7%). The goal of the analyses is to investigate the influence of high turbulence intensity on the fluid-thermal characteristics of a nozzle guide vane (NGV). The turbine inlet temperature is defined by considering a typical radial temperature distribution factor (RTDF). The Unsteady Reynolds Average Navier-Stokes (URANS) CHT simulations are carried out using CFX 15.0, a commercial CFD package. The presented CFD modeling approach for high turbulence intensity is verified with the experimental data from two types of NASA C3X NGVs with films. The computation grid is generated for both the fluid and solid domains. The fluid domain grid is created using a tetrahedral grid system with prism layers because of its complex geometry, and the solid domain grid is composed of only tetrahedral elements. The analytical results are compared to understand the effect of turbulence on flow characteristics and metal temperature distributions. The results obtained in this study provide useful insights on the effects of high free stream turbulence and unsteadiness. The results also lead to the proposal of meaningful turbine design guidelines.

• Journal of Satellite, Information and Communications
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• v.10 no.1
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• pp.29-32
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• 2015

It has been a big trend of the convergence technologies about communication systems and vehicular industry to improve safety and convenience. To achieve a number of infotainment vehicular applications, vehicles should transmit information with high reliability. A robust and accurate channel estimation scheme is of great importance to achieve the goal. In this paper, we present a novel enhanced decision-directed channel estimation scheme called FADP (Frequency Averaging Data Pilot) for dynamic time-varying vehicular channels in IEEE 802.11p. We use linear averaging filtering in frequency domain, and utilize the correlation characteristic of the channels between the adjacent two data symbols, update the CR in time domain to get more accuracy. Finally, analysis and simulation results reveal that compared with exist schemes, the proposed scheme has a good performance in mean square error (MSE) and bit error rate (BER).

• Journal of Distribution Science
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• v.15 no.2
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• pp.91-100
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• 2017

Purpose - Domestic franchise market has been grown steadily, reaching 50 trillion won in sales and 3,360 franchise headquarters in 2014. A franchise system is an effective business system for the franchisees to lower the failure rate due to the fact that the inexperienced entrepreneurs are supported by their headquarters through the franchisee contract. However, there are also conflicts between franchiser and franchisee behind the quantitative growth of domestic franchise industry. Therefore, it is very important to structure the causes of conflicts and to examine the effect of factors on the relationship commitment and performances. Research design, data, and methodology - In this study, the author divides the composite incompatibility between the franchise and the franchisee into goal incongruity, domain dissensus, and perceptual differences, and examines each dimension to the relationship with commitment and performances. To verify the proposed research model and test hypotheses, the author selected 200 franchise responses in food and beverage industry. The data were analyzed using SPSS 18.0 and AMOS structural equation modeling program. Results - The empirical findings provide goal incongruity and perceptual differences have a negative effect on the affective commitment, but not the calculative commitment. In addition, affective commitment and calculative commitment are found to have a positive effect on re-contractual intention and extended brand shop running intention, respectively. Affective commitment have a stronger effect on re-contractual intention than calculative commitment. Conclusions - First of all, the fact that goal incongruity and perceptual differences negatively affect the affective commitment, but it does not affect the calculative commitment. It means the relationship commitment in distribution channel are multi-dimensional concept that may be attributed to emotional or affective dimensions but may exist in terms of necessity or power-dependence. Second, the level of relationship commitment such as affective and calculative commitment to franchise headquarters positively affects the re-contractual intention and franchiser's extend brand shop running intention suggest that franchiser should encourage and support existing franchisee's commitment. Third, the fact that affective commitment has a greater effect on relationship performance than calculative commitment means to induce franchisee's affective commitment and to prevent the inconsistency between goals and perceptual differences.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.791-798
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• 2009

The goal of this study is leading discussion on emotional design focused on product domain and approaching it through a practical way so that it'll be able to help designers in their real design work when they design products in an emotional way. Discussions on emotions are remaining on abstract levels and only focusing on 5 senses even though the importance of emotions are increased. But much more is needed to apply emotions in the product domain because these are not the proper forms for applications and they only cover limited parts of it. Therefore, in this study we proposed the notion of 'Emotionalized Product' and defined it into a practical level. We extracted 5 useful frameworks of 'Emotionalized Product(EP)' as a results; EP Media, EP Procedure, EP Level, EP Character, and EP Value. Then we clarified EP with these frameworks. After that, we extracted 2 frameworks: Domain Structure, and EP Opportunity, to combine EP with a real product. Finally we proposed the EP Design Process consisted of Inductive and Deductive Process based on previous work. It can be shared by designers as a base of designing system, and it also can be helpful to design products more successfully with an emotional approach.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.101-119
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• 2003

Achieving the beneficiary goal of recent discovery in human genome project still needs a way to retrieve and analyze the exponentially expanding bio-related information. Research on bio-related fields naturally applies knowledge discovered to the current problem and make inferences to extract new information where shared concepts and data containing information need to be defined and used in a coherent way. In such a professional domain, while the need to help users reduce their work and to improve search results has been emerged, methods for systematic retrieval and adequate exchange of relevant information are still in their infancy. The design of our system aims at improving the quality of information retrieval in a professional domain by utilizing both corpus-based and concept-based ontology. Meta-rules of helping users to make an adequate query are formed into an ontology in the domain. The integration of those knowledge permits the system to retrieve relevant information in a more semantic and systematic fashion. This work mainly describes the query models with details of GUI and a secondary query generation of the system.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.40 no.12
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• pp.125-135
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• 2003

In this paper, we developmed and implemented router and bandwidth broker that provides end-to-end QoS in differentiated service IP networks. Our design goal is to provide end-to-end premium service using the EF PHB. The bandwidth broker and router were implemented in the FreeBSD 4.6 platform. For the DiffServ router, we implemented QoS daemon, rollback managment routine, monitoring, and COPS-PR client. Also, Ive implemented bandwith broker which has SLS and resource management function, and signaling protocols for interfacing intra-and inter-domain. On the testbed, we have validated and evaluated the performance of the implemented DiffServ router and bandwidth broker using the inter-domain signaling protocol client in MS Windows platform. The test results show that the end-to-end QoS can be guaranteed for the inter-domain diffServ by the implemented system.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.625-633
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• 2018

The goal of this study is to investigate the features of Korean eighth graders' achievement and its trend in Chemistry in TIMSS 2011 and TIMSS 2015, and to explore its implications for Korean science curriculum and in teaching science. With three science educators and six science teachers, we analyzed the characteristics of Korean eighth graders' achievement in Chemistry by test-curriculum matching analysis. According to the trend analysis of science topics with released items for Chemistry in TIMSS 2015, Korean students' percentage for correct answers has dropped in topics such as regularities in chemical reactions, oxidation-reduction, etc. since these topics are covered after the ninth grade in the 2009 revised curriculum. For science cognitive domains, Korean students showed weaknesses in 'applying' domain in TIMSS 2015. Based on the results, we suggested implications for improvement in middle school chemistry curriculum and how to improve science teaching and learning for students' better science competencies and real-world application of science knowledge.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.834-845
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• 2000

Most agents are associated with plan rules for their tasks when they are created. In a multi-agent system in which many agents are interacting, the direct use of predefined plan rules of each agents may slow down the system due to the lack of recognition of the relationship among plan rules of the agents. In order to overcome this, we need to analyze and integrate the agent's plan rules to facilitate concurrent rule execution. This paper proposes a method that integrates and executes local plan rules of task agents in a multi-agent environment. The results of the integration are represented in a network structure. For domain task execution, a task agent collects other task agents' plan rules and builds an integrated domain network, which is exploited to achieve the goal. The agent problem solving by using the domain network enables not only the concurrent plan execution but the solution of coordination problems.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.79-87
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• 2024

Recently, the importance of pre-trained language models (PLM) has been emphasized for natural language processing (NLP) such as text classification, sentiment analysis, and question answering. Korean PLM shows high performance in NLP in general-purpose domains, but is weak in domains such as finance, medicine, and law. The main goal of this study is to propose a language model learning process and method to build a financial-specific language model that shows good performance not only in the financial domain but also in general-purpose domains. The five steps of the financial-specific language model are (1) financial data collection and preprocessing, (2) selection of model architecture such as PLM or foundation model, (3) domain data learning and instruction tuning, (4) model verification and evaluation, and (5) model deployment and utilization. Through this, a method for constructing pre-learning data that takes advantage of the characteristics of the financial domain and an efficient LLM training method, adaptive learning and instruction tuning techniques, were presented.