• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.387-390
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• 1998

In this paper, we suggested a neuro-fuzzy learning algorithm for tuning fuzzy rules, in which a fuzzy system model is of additive-type. Using the method, it is possible to reduce the computation size, since performing the fuzzy inference and tuning the fuzzy rules of each fuzzy subsystem model are independent. Moreover, the efficiency of suggested method is shown by means of a numerical example.

• Hwankyungkyoyuk
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• v.13 no.2
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• pp.114-126
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• 2000

The purpose of this study is to identify the theory of inquiry and to suggest an example of teaching/learning strategy through inquiry for effective environmental education. This study was based on the review of literature in the area of background of inquiry, inquiry in school subjects-social science, science, and environment and activities for inquiry. The teaching/learning strategy which was developed in this study included several inquiry activities focusing on recent social issue. And it can be used in environmental class.

• Journal of The Korean Association of Information Education
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• v.16 no.2
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• pp.265-273
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• 2012

Current computer education is moving its focus from using oriented education to improving students' creativity and problem solving ability by computer science education. Robot programming education is becoming a major research issue of computer education in the context of creativity education. One of the mainstream ideas of prior research about robot programming is the effect of robot programming. Another is curriculum development of robot programming. But, the focus of current research is moving toward teaching methods of robot programming. The theme of this research is to use examples in robot programming. Example programs are considered the most useful type of material both by the students and the teachers. Example programs play a important role in learning to program. They work as templates, guidelines, and hints for learners when developing their own programs. In this study, I developed a example-based robot programming support system. Due to the trends of smart learning, I developed this system as a mobile web application.

• Korean Journal of Adult Nursing
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• v.13 no.3
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• pp.385-396
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• 2001

The purpose of this study is to present an actual example for procedures for developing a PBL package based on philosophical backgrounds derived from Problem-based learning. To perform a systemic study on the operations of an intergrated curricula under multidisciplines, a research team made up of several professors with different academic backgrounds was formed. Among the four situations for the patients with perception-adjustment disorder, especially a procedure for the development of PBL package which can be used in the emergency room situation has been proposed. The little(2000)'s PBL package model has been applied for this study. Tha package includes course objectives, learning objectives, concept map, situation scenario, tutor guide, and evaluation method. It is believed that learning objectives achievement procedures designed as a part of a problem-based learning package development procedures for the nursing of patients with perception-adjustment can be achieved at the same level as the learning objectives for the science of nursing founded by the Korean Nurses Association.

• Journal of The Korean Association of Information Education
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• v.9 no.1
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• pp.1-12
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• 2005

Establishing problem-based leaning(PBL) that is one type of constitutional learning models is meaningful not only for finding the diversity of WBI types but also for being the specific example of constitutional usage of WBI. This paper shows the development of web-based and problem-based learning program for 6th grade students of elementary school and finds its effect on their studies achievement. There were two classes of traditional lessons and one class of web-based and problem-based lessons. It performed a test with the classes for science lesson. It was found that web-based and problem-based learning is more effective on the improvement of studies achievement. There was meaningful difference in studies achievement according to ICT utilization ability. Web-based and problem-based learning statistically had a meaningful effect on the improvement of ICT utilization ability.

• Journal of KIBIM
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• v.11 no.2
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• Journal of Gifted/Talented Education
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• v.13 no.2
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• pp.113-130
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• 2003

In this study, learning materials that can be applied for web-based distant learning model were developed based on the characteristics of elementary school science in which investigation skills and thinking ability are considered to be important. And the effect of students' activity in a reports on student's investigating and thinking ability was investigated. While designing diverse experimental procedures, the students had. an opportunity to improve their observation attitude and way of scientific thinking. Such improvement was possible, only because the present web-based distant learning model consists of requiring an interaction between the students and a report and evaluation system which can put together such effort. Still, it was acknowledged that, as being in lack of teacher's direct support and supervision, the present web-based distant learning model might be somewhat ineffective in guiding the students in accordance with their own characteristics. For example, the students had a tendency to maintain their basic idea and style even when their reports are individually examined and corrected in terms of the format of the report.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.130-137
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• 2013

In this paper, we consider a two-agent scheduling with sequence-dependent exponential learning effects consideration, where two agents A and B have to share a single machine for processing their jobs. The objective function for agent A is to minimize the total completion time of jobs for agent A subject to a given upper bound on the objective function of agent B, representing the makespan of jobs for agent B. By assuming that the learning ratios for all jobs are the same, we suggest an enumeration-based backward allocation scheduling for finding an optimal solution and exemplify it by using a small numerical example. This problem has various applications in production systems as well as in operations management.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1072-1075
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• 2005

This paper presents that TD method is applied to the human adaptive devices for smart home with context awareness (or recognition) technique. For smart home, the very important problem is how the appliances (or devices) can adapt to user. Since there are many humans to manage home appliances (or devices), managing the appliances automatically is difficult. Moreover, making the users be satisfied by the automatically managed devices is much more difficult. In order to do so, we can use several methods, fuzzy controller, neural network, reinforcement learning, etc. Though the some methods could be used, in this case (in dynamic environment), reinforcement learning is appropriate. Among some reinforcement learning methods, we select the Temporal Difference learning method as a core algorithm for adapting the devices to user. Since this paper assumes the environment is a smart home, we simply explained about the context awareness. Also, we treated with the TD method briefly and implement an example by VC++. Thereafter, we dealt with how the devices can be applied to this problem.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.2
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• pp.247-252
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• 2004

In this paper are proposed 2nd-order PD-type iterative learning control algorithms for linear continuous-time system and linear discrete-time system. In contrast to conventional methods, the proposed learning algorithms are constructed based on both time-domain performance and iteration-domain performance. The convergence of the proposed learning algorithms is proved. Also, it is shown that the proposed method has robustness in the presence of external disturbances and the convergence accuracy can be improved. A numerical example is provided to show the effectiveness of the proposed algorithms.