• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.51-59
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• 2012

The purpose of this study was to examine the effects of Future Problem Solving Program on creativity and scientific attitude. For this study the 4 grade, 2 class was divided into a research group and a comparative group. The class was pre-tested in order to ensure the same standard. The research group had the science class with FPSP, and the comparative group had the class with teacher centered lectures for 9 classes in 10 weeks. The FPSP was focused on finding problems, finding key problems, creating solutions, selecting the standard of judgement, making alternative solutions, and learning creative steps of solutions consisting of development of action planning. To prove the effects of this study, creativity was split up according to fluency, originality, abstractness, accuracy, and openness. Also, scientific attitude consisted of honesty, patience, curiosity, preparedness, autonomy, criticism, and openness. The results of this study are as follows. First, the science class with FPSP with finding problems, finding key problems, and creating solutions had the effect of developing the scientific creativity; fluency, originality, abstractness of the title, accuracy, and openness. Second, the FPSP had the effect of developing the scientific attitude. Students made ideas and solved the problems through divergent thinking and convergent thinking. During the class it had the effect of developing the scientific attitude; honesty, patience, curiosity, preparedness, autonomy, criticism, and openness. As a result, the elementary science class with FPSP had the effects of developing scientific creativity and scientific attitude. It means the science class with FPSP has potential possibilities and value to develop scientific creativity and scientific attitude.

• Journal of The Korean Association For Science Education
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• v.32 no.8
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• pp.1333-1344
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• 2012

This study aimed to enhance creative problem solving skill by using the Creative Problem Solving (CPS) learning model which was developed based on creative problem solving approach and five essential features of inquiry. The key strategy of the CPS learning model is using real life problem situations to provide students opportunities to practice creative problem solving skill through 5 learning steps: engaging, problem exploring, solutions creating, plan executing, and concepts examining. The science content used for examining the CPS learning model was "matter and properties of matter" that consists of 3 learning units: Matter, Solution, and Acid-Base Solution. The process to assess the effectiveness of the learning model used the experimental design of the Pretest-Posttest Control-Group Design. Seventh grade-students in the experimental group learned by the CPS learning model. At the same time, students at the same grade level in the control group learned by conventional learning model. The learning models and students' prior knowledge levels were served as the independent variables. The creative problem solving skill was classified in to 4 aspects in: fluency, flexibility, originality, and reasoning. The results indicated that in all aspects, the students' mean scores of creative problem solving between students in experimental group and control group were significantly different at the .05 level. Also, the progression of students' creative problem solving skills was found highly progressed at the later instructional periods. When comparing the creative problem solving scores between groups of students with different levels of prior knowledge, the differences of their creative problem solving scores were founded at .05 level. The findings of this study confirmed that the CPS learning model is effective in enhancing the students' creative problem solving skill.

• Journal of Korea Multimedia Society
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• v.12 no.7
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• pp.903-912
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• 2009

There are still many difficulties in developing techniques for modifying or transforming the flickering of motion capture data or in modifying motion capture data in such a way that suits the animation timing sheet. There is a problem in the existing method of modifying motion capture data. It requires almost same time as in the key frame animation work by a very skilled animator or even more time in modifying. It is believed that this kind of problem can be a basis for a more effective problem-solving method through creating the key animation data node and direct blend layer and replacement layer nodes. This study presents a new method which enables to modify animation data in a nonlinear way without modifying the existing animation data by creating an animation layer node for a direct connection to the animation node. 'Maya' API will be utilized in order to realize this method and the research range will be limited to 'Maya' 3D software which is generally used in motion picture and animation films. According to the results of this study, the new method is much more intuitive than the nonlinear one and does not require the preceding working of making animation clips. In addition, it has enabled to modify flickering and to extract key frames, and due to the compatibility with other programs, it has been possible to modify motion capture data by creating a direct layer node. Finally, in this study, the existing method of modifying animation will be examined, compared and analyzed.

• Proceedings of the KSRS Conference
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• v.2
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• pp.559-562
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• 2006

Although flood is a very common natural disaster in Bangladesh, recently Dhaka, the capital city of Bangladesh got flooded even in moderate rainfall. Accordingly, on January 2002 the sale and use of polythene bags were banned, by identifying it as one of the main causes for such flooding. Now the question arises, whether only polythene shopping bags are alone responsible for causing water logging problem. Accordingly, the objective of this study is to detect the reason(s) for the recent prolonged water logging problem in Dhaka City, even by small amount of rainfall. Both contingent valuation method and remote sensing technique were used for comparison of the results. The results of the study indicated that, not only polythene bags, but also unplanned land filling is also liable for creating water logging problem in Dhaka City. Finally, the study suggested that, the value of wetlands lost, which is directly related to the recent water logging problem, is more higher than what actually thought by the citizens of Dhaka City.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1165-1168
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• 2002

Knowledge acquisition is the process that extracts the required knowledge from available sources, such as experts, textbooks and databases, for incorporation into a knowledge-based system. Knowledge acquisition is described as the first step in building expert systems and a major bottleneck in the efficient development and application of effective knowledge based expert systems. One cause of the problem is that the process of human reasoning we need to understand for knowledge-based system development is not available for direct observation. Moreover, the expertise of interest is typically not reportable due to the compilation of knowledge which results from extensive practice in a domain of problem solving activity. This is also a problem of modeling knowledge, which has been described as not a problem of accessing and translating what is known, but the familiar scientific and engineering problem of formalizing models for the first time. And this formalization process is especially difficult for knowledge engineers who are often faced with the difficult task of creating a knowledge model of a domain unfamiliar to them. In this paper, we propose an automated knowledge acquisition tool which is based on an implementation of the Inferential Modeling Technique. The Inferential Modeling Technique is derived from the Inferential Model which is a domain-independent categorization of knowledge types and inferences ［Chan 1992］. The model can serve as a template of the types of knowledge in a knowledge model of any domain.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.87-97
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• 1993

China has a big population(22% of the world) and small cultivated land( only 7% of the world). Agriculture is very important and it has solved the problem of people's eating and wearing, and now it is creating favourable conditions for the state modernization and people's comparatively well-off. Farm mechanization plays an role in agriculture and has primarily developed. But the development is complicated since the big rural labour force and the small per capita cultivated land. The development and features of farm mechanization in China was summarized and the future task and its countermeasure was discussed in this paper.

• Journal of the Korean Professional Engineers Association
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• v.37 no.6
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• pp.37-40
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• 2004

This year's main theme of Japan-Korea Joint Symposium of Professional Engineering is 'Conservation of the earth environment and risk management' As a keynote speaker. I a going to discuss the strategies to make appropriate future environment of our countries. In particular, following items are discussed in the speech. 1. The Desert greening with peat at Uighur area 2. Anoter viewpoint of the environmental problem 3. Review of the Earth Warming 4. Review of the environment of the Earth 5. Corresponding of Emission Trading scheme of carbon dioxide to the atmosphere 6. Un-precious present from continent to Japan 7. Corresponding of asbestos damage 8. Risk assessment and Risk management

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.99-102
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• 2002

K-means clustering algorithm is a very popular clustering technique, which is used in the field of information retrieval. In this paper, We deal with the problem of K-means Algorithm from the view of creating the centroids and suggest a method reflecting document feature and considering the context of each document to determine the new centroids during the process of forming new centroids. For experiment, We used the automatic document summarizer to summarize the Reuter21578 newslire test dataset and achieved 20% improved results to the recall metrics.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.21 no.2
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• pp.63-71
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• 2015

Background: The purpose of the study, using the ICF Tool in the process of rehabilitation of artificial joint replacement surgery of the hip joint, goal setting and understanding of the problem, through the process of creating intervention strategies, useful clinical practical course for rehabilitation I try to present the data. Methods: Fracture was the left total hip replacement (THR) surgery due to women of 76 years old. I proceed in order screening, evaluation, diagnosis, prognosis, treatment planning and intervention, re-screening. Needs of the patient was walking short distances for using the toilet. In order to improve was carried out arbitration, after you have created a list of issues that limit the ability to walk short distances. Results: It was revealed improved results in self-paced walk test (SPWT) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was used to examine whether the goals. In addition, MMT VAS, DGI, and TUG is a detailed goal was improved. Conclusions: It can be shown objectively the results of interventions performed for the purpose of solving the problem which is grasped through clinical Practical course for short-range walking ability enhance patient THR. I considered practical clinical course using the ICF Tool would be useful.

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1443-1450
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• 2004

The clustering characteristics for a number of classes, and defining the inheritance relations between the classes is a difficult and complex problem in an early stage of object oriented software development. We discuss a traditional iterative approach for the reuse of the existing classes in a library and an integrated approach to creating a number of new classes presented in this study. This paper formulates a character-istic clustering problem for zero-one integer programming and presents a network solution method with illustrative examples and the basic rules to define the inheritance relations between the classes. The network solution method for a characteristic clustering problem is based on a distance parameter between every pair of objects with characteristics. We apply the approach to a real problem taken from industry.