• Health Policy and Management
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• v.4 no.2
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• pp.111-125
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• 1994

In developing total hospital information system, large amount of time and expense are to be spent while its results are likely to lead itself to end-users' dissatisfaction. Some of the main complaints on the part of end-users come from insufficient consideration of end-users environment as well as inappropriate representation of their requirement in the system alalysis and design. This papre addresses some advantages of Essential Logical Modeling Process for better analysis and design, explaining by example the developmental process of the Patent Management and Accounting System for a tertiary care hospital. In the case, the Essential Model, suggested by McMenamin and Palmer, proved to be an effective tool for clear separation of analysis and design phase and for better communication among system developers and with end-users. The modeling process itself contributed to better program modularity as well, shown in a Structured Chart. Difficulties in learning how to identify' essential activities' for the modeling practice were experienced in the beginnins stage, which were, however, overcome by elaborating some heuristic guideling and by rdferring to necessary tools including State Transition Diagram, Control Flow Diagram, and so many. While full evaluation of the Essential Model usag remains to wait till the completion of the case project, its strengt in making clear distinction between analysis and design phase was enough to be attractive to system analysts. The model concepts are open to many further application fields, particularly such areas as business re engineering, process remodeling, office automation, and organizational restructuring.

• Proceedings of the KIEE Conference
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• 2007.04c
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• pp.97-99
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• 2007

This paper presents a fuzzy logical control method to implement an on-line optimum efficiency control for Permanent Magnet Synchronous Motor. This method real-timely adjusts the output voltage of the inverter system to achieve the optimum running efficiency of the whole system. At first, the input power is calculated during the steady state in the process of efficiency optimizing. To exactly estimate the steady state of the system, this section needs check up the speed setting on timely. The second section is to calculate input power of dc-bus. The exact measurement of the voltage and current is the vital point to acquire the input power. The third section is the fuzzy logic control unit, which is the key of the whole drive system. Based on the change of input power of dc-bus and output voltage, the variable of output voltage is gained by the fuzzy logical unit. With the on-line optimizing. the whole system call fulfill the minimum input power of dc-bus on the running state. The experimental result proves that the system applied the adjustable V/f control method and the efficiency-optimizing unit possesses optimum efficiency, and it is a better choice for simple variable speed applications such as fans and pump.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.3
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• pp.7-22
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• 2014

By the publications of RDF and OWL, the Semantic Web is confirmed as a technology through which information in the Internet can be processed by machines. The focus of the Semantic Web study after then has moved to how to provide more useful information to users for their decision making beyond simple use of the structured data in ontologies. SWRL that makes logical inference possible by rules, and SWCL that formulates constraints under the Semantic Web environment are some of many efforts toward the achievement of that goal. Constraint represents a connection or a relationship between individual data in ontology. Based on SWCL, this paper tries to extend the language by adding one more type of constraint, implication constaint, in its repertoire. When users use binary variables to represent logical relationships in mathematical models, it requires and knowledge on the solver to solve the models. The use of implication constraint ease this difficulty. Its need, definition and relevant technical description is presented by the use of the optimal common attribute selection problem in product design.

• Convergence Security Journal
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• v.14 no.2
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• pp.25-33
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• 2014

With the development of information and communication, public institutions and enterprises utilize the business continuity using the Internet and Intranet. In this environment, public institutions and enterprises is to be introduced the number of solutions and appliances equipment to protect the risk of leakage of inside information. However, this is also the perfect external network connection is not enough to prevent leakage of information. To overcome these separate internal and external networks are needed. In this paper, we constructed the physical and logical network separation is applied to the network using the virtualization and thus the network configuration and network technical review of the various schemes were proposed for the separation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.197-202
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• 2019

XML has been established as a de facto standard for representing and exchanging documents, and has been widely used as a logical data model. Using XML as a logical database model, it requires a conceptual model for the semantics that XML has. However, the existing conceptual models, such as Entity Relationship models and UML, have been extended their concepts to express the specific characteristics of XML, but so far, there are no standard models. This paper compares the characteristics of the typical model of conceptual model of XML by Extended Entity Relationship model from the perspective of database field. For this, we propose the requirements that must be met for XML, and on the basis of these requirements, the approaches of each model are compared.

• The Transactions of the Korea Information Processing Society
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• v.3 no.5
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• pp.1138-1146
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• 1996

Fuzzy logic ignores some informations in the reasoning process. Neural networks are powerful tools for the pattern processing. However, to model human knowledges, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy logical reasoning, we construct fuzzy inference net-work based on the neural logic network, extending the existing rule-inferencing network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fuzzy inference network, we conduct a simulation to evaluate the search cost for searching sequentially and searching by means of priorities.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.471-478
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• 1999

In this study, the relationships among learners' cognitive variables, motivational variables, and conceptual understandings in learning with analogy were investigated. The instruments regarding analogical reasoning ability, field dependence-independence, mental capacity, and logical thinking ability were administered. Some subtests (self-efficacy, expectancy, self-concept of ability, and value) of the Patterns of Adaptive Learning Survey were administered. After students learned with a worksheet that included analogy, a conception test regarding 'stoichiometry that included limiting reagent' was also administered. It was found that learners' conceptual understandings were significantly correlated with the logical thinking ability and the field dependence-independence among the cognitive variables, and the self-efficacy and the self-concept of ability among the motivational variables. The multiple regression analysis of the cognitive variables on conceptual understandings revealed that the logical thinking ability was the most significant predictor. The field dependence-independence also had predictive power. In the analysis of the motivational variables, the self concept of ability was the only significant predictor.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.341-351
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• 2010

Alarm system is very important for the safety of nuclear power plant. When alarm, operator refers alarm logic diagrams to identify the logical relationship between the alarm and its causes. This paper propose a system which tracks the logical path between alarm and its causes on the alarm logic diagrams of Wolsung nuclear power plant unit 3 & 4. And a grammar for the validation of logic diagrams expressed in 2 dimensional strings, and logical operations with 3 states to track alarm-cause paths and to display the state of logics are proposed. This system is on operation at Wolsung site.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.56-63
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• 2017

Programming is very important subject in computer science and similar computer-related areas such as electronics engineering, etc. Programming is also important for information education for elementary, middle, and high school students since programming is one of the most basic subjects in computer science courses and other similar areas. In current information and knowledge society, raising programming ability is a key factor for everyone's competitiveness. With highly-competitive programming ability, one can enjoy his or her daily life abundantly. He or she also can get a highly-paid job, and make money using his or her programming ability. In this paper, a programming ability assessment tool is developed and introduced for the no-programming experienced. It is very difficult to test programming ability for the no-programming experienced with non-programming tools or activities. In this paper, a programming ability assessment tool is developed based on logical thinking ability. Especially the proposed tool consists of 15 questions for test one's logical thinking ability. The tool does not require any computer science or programming background. The proposed tool will be helpful as criteria for entrance examination or job screening examination for programming-related areas or subjects.

• English Language & Literature Teaching
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• v.12 no.2
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• pp.107-125
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• 2006

This article reports some Korean EFL learners' cognitive tendencies drawn up from their responses to logical fallacies in the argument passages, and its pedagogical implications. The findings of experimental study show the meaningful disparities in three sets of judgment tests designed to identify and explicate faulty arguments: based on the three general types of fallacies using language, emotions, and distraction tactics, subjects on average gained the highest scores in the test questions with language-loaded fallacies and the lowest scores in those with emotion-based ones among the three different types; for this reason, the scores that subjects obtained in the test of distraction-loaded fallacious arguments fell in between the two poles. These discrepancies, mainly based on statistical inferences, support the possibility that the Korean EFL learners are most likely to be manipulated by emotions/distraction- loaded argument tactics than by language-based ones in the three types of fallacious arguments; and, they are least likely to be influenced by language-oriented trickeries. As a consequence, such variances in abilities to recognize the intrinsic elements of logical fallacies suggest some basic instructional approaches to critical reading of argumentative texts with due weights on the Korean EFL learners' culture-specific cognitive tendencies.