• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.86-91
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• 2006

Companies had to be more intelligent in order to survive in the rapidly changing environments. We need to make a decision to build the Information System to support their decision making. But, how can we know the new system would be better than the old system in making us intelligent? The answer is we can do it with the concept of Intelligence Density. In this study, Intelligence Density concept will be introduced, and the way how it can be applied to the information system will be presented. I think Intelligence Density should be studiedmoretohelpmanagersmakerightdecisions.

• Journal of Korean Society for Quality Management
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• v.12 no.1
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• pp.31-34
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• 1984

The industrial sector is the largest energy consumer, accounting for 44% of the total energy consumption of Korea in 1981. Energy conservation in the industrial processes is one of the most important strategies to the energy conservation to the nation. This paper introduces principles of energy conservation which is the maximum thermodynamic efficiency in energy use. Two important factors considered are how much heat is available and how good is the heat available (the quality of energy).

• Journal of the military operations research society of Korea
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• v.16 no.1
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• pp.56-66
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• 1990

Expert systems are in an early evolutionary phase, but it already has significant impacts on business operations. More and more organizations are becoming interested in applying expert systems as solutions to their business problems. This paper describes how systems started, what is their current situation, and what are their application areas. It outlines what is expert system and how to develop an expert system. And it analyzes expert system shells and shows some current available expert system shells. Lastly, it concludes and predicts the main attributes of the future expert systems.

• Journal of Photoscience
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• v.6 no.3
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• pp.123-128
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• 1999

Dynamics of many ultrafast processes are markedly slowed down in various organized molecular assemblies compared to ordinary liquids. We will show that the solvation dynamics of water molecules is affected amost dramatically and is retarded by 3 ∼4 orders of magnitude in microemulsions, micells and lipids. We will also discuss how the access to fewer water molucules and the drastically altered local pH in an organized asembly affected the excited state proton transfer processes. Finally, we will show how surface second haromonic generation can be used to study the air-water surface.

• The Mathematical Education
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• v.39 no.1
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• pp.49-58
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• 2000

The purpose of this study is to investigate how to teach algorithms in mathematics class. Until recently, traditional school mathematics was primarily treated as drill and practice or memorizing of algorithmic skills. In an attempt to shift the focus and energies of mathematics teachers toward problem solving, conceptual understanding and the development of number sense, the recent reform recommendations do-emphasize algorithmic skills, in particular, paper-pencil algorithms. But the development of algorithmic thinking provides the foundation for student's mathematical power and confidence in their ability to do mathematics. Hence, for learning algorithms meaningfully, they should be taught with problem solving and conceptual understanding.

• Cross-Cultural Studies
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• v.24
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• pp.62-83
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• 2011

The totality of language learning comprises three integrated components: linguistic, cultural, and attitudinal (Wilkes, 1983).Positively sensitizing students to cultural phenomena is urgent and crucial. A positive attitude toward L2 culture is a factor in language learning that leads to cross cultural understanding. This research examined, through a survey analysis, how three groups of students (one high school group and two university student groups) viewed the role of their foreign culture (i.e., American and British cultures) in achieving cultural understanding. The focus was upon how EFL learners approach the target language culture as well as their own culture.

• KEPCO Journal on Electric Power and Energy
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• v.7 no.1
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• pp.179-194
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• 2021

We introduced EPRI overview and recent R&D portfolio such as Low Carbon Resource Initiative (LCRI) and electrification, and proposed how to maximize the membership value.

• East Asian mathematical journal
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• v.38 no.1
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• pp.85-94
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• 2022

Recently, an LWE-based commitment scheme is proposed. Their construction is statistically hiding as well as computationally binding. On the other hand, the construction of related zero-knowledge protocols is left as an open problem. In this paper, we present zero-knowledge protocols with hardness based on the LWE problem. we show how to instantiate efficient zero-knowledge protocols that can be used to prove linear and sum relations among these commitments. In addition, we show how the variant of LWE, spLWE problem, can be used to instantiate efficient zero-knowledge protocols.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.417-423
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• 2007

This paper describes how using the XPS Document technologies of Windows Vista support and enhances interactions with the structural design and construction process. It illustrates the document workflows and the document life cycle in a typical construction base knowledge system. It provides engineers and decision makers and implementers with information about this new technology and how they can apply it to their design and construction models. The paper also highlights opportunities for the new format of data exchange in the recent efforts to develop National Management System Standards for Transportation Applications to benefit from these emerging technologies.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.129-133
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• 2023

Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.