• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.693-696
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• 2021

There are various algorithms in reinforcement learning, and the algorithm used differs depending on the field. Even in games, specific algorithms are used when developing AI (artificial intelligence) using reinforcement learning. Different algorithms have different learning methods, so artificial intelligence is created differently. Therefore, the developer has to choose the appropriate algorithm to implement the AI for the purpose. To do that, the developer needs to know the algorithm's learning method and which algorithms are effective for which AI. Therefore, this paper compares the learning methods of three algorithms, SAC, PPO, and POCA, which are algorithms used to implement game AI. These algorithms are practical to apply to which types of AI implementations.

• International journal of advanced smart convergence
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• v.6 no.4
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• pp.67-72
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• 2017

Deep learning neural network becomes very popular nowadays due to the reason that it can learn a very complex dataset such as the image dataset. Although deep learning neural network can produce high accuracy on the image dataset, it needs a lot of time to reach the convergence stage. To solve the issue, we have proposed a scaling method to improve the neural network to achieve the convergence stage in a shorter time than the original method. From the result, we can observe that our algorithm has higher performance than the other previous work.

• Journal of the Korean Home Economics Association
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• v.36 no.5
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• pp.59-74
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• 1998

Home economics lesson plan model was developed based on cooperative learning stategy focusing on human development and family relations area. The cooperative learning is an instructional strategy that meets the challenge of helping students master home economics content objectives by acquiring and practicing the social skills that are essential in life for satisfactory relationships with peers, families, coworkers, and others in society. Through cooperative learning, students can satisfy their needs for friendship, power, belongs, and fun. Practical problems were selected in human development and family relations area for middle school students assuming that home economics is critical science. Lesson plans were developed according to the practical problems, "what should we do regarding the effective communication between family members\ulcorner".ner".uot;.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.109.3-109
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• 2001

The so-called curse of dimensionality arises when Gaussian mixture is used on high-dimensional small-sample-size data, since the number of free elements that needs to be specied in each covariance matrix of Gaussian mixture increases exponentially with the number of dimension d. In this paper, by constraining the covariance matrix in its decomposed orthonormal form we get a local PCA model so as to reduce the number of free elements needed to be specified. Moreover, to cope with the small sample size problem, we adopt BYY data smoothing learning which is a regularization over maximum likelihood learning obtained from BYY harmony learning to implement this local PCA model.

• Fashion & Textile Research Journal
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• v.10 no.1
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• pp.40-49
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• 2008

The purposes of this study were to investigate the effects of market orientation and learning orientation of textile firms on business performance and to confirm the moderating effect of company innovativeness on these relationships. Data collected from 167 textile firms through survey were analyzed by descriptive statistics, t-tests, and multiple causal modeling using AMOS 6.0. In results, the higher innovativeness, the stronger effect of market orientation on business performance. Also, the lower innovativeness, the stronger effect of learning orientation on business performance. Study results may suggest the needs of different focus of organization culture according to company characteristics in order to improve business performance.

• Journal of Fisheries and Marine Sciences Education
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• v.18 no.3
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• pp.218-228
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• 2006

The purpose of this study is to review the essentials of teaching-effectiveness affecting the students' achievement. Any discussion of psychological research and theory concerned with the way teachers affect student learning must consider a variety of issues germane to this research. These issues provide a context for interpreting the research presently available and for identifying an appropriate agenda for future research.Finally, research on teacher effects needs to expand its concern for the psychological mechanisms that are responsible for student learning from instruction. Within the context of this study, that concern is probably the major challenge facing educational psychologists interested in the teaching-learning process.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.227-237
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• 2003

U-learning stresses the ubiquitous networking environment where different sizes of U-devices, let alone the dominant PCs, comprise a background infrastructure to enhance knowledge and performance. This paper suggests a U-learning system that will provide an alternative for the hectic private lessons, particularly English training among grade-school students. Several points are suggested of the U-system to be a cost-effective alternative. Besides the corresponding advancement of U-networking, the production of a profitable business model harnessing the emerging technology is most urgent. The Government authorities should recognize the potential U-social system solutions, and take an initiative to develop them. The latest technology seems to throw a light to the upcoming social systems applied in various fields of social needs.

• Electronics and Telecommunications Trends
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• v.34 no.6
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• pp.71-86
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• 2019

The unprecedented demands of mobile communication networks by the rapid rising popularity of mobile applications and services require future networks to support the exploding mobile traffic volumes, the real time extraction of fine-rained analytics, and the agile management of network resources, so as to maximize user experience. To fulfill these needs, research on the use of emerging deep learning techniques in future mobile systems has recently emerged; as such, this study deals with deep learning based mobile communication research activities. A thorough survey of the literature, conference, and workshops on deep learning for mobile communication networks is conducted. Finally, concluding remarks describe the major future research directions in this field.

• Hwankyungkyoyuk
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• v.13 no.1
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• pp.14-22
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• 2000

This attempts to find out training system of environment education teacher in Korea. The results are summarized as follows. The primary and secondary school have focused on environment education and the environment course was designated as a subject, but only 12% of the 2741 middle school chose the environment subject in 1998. The environment education course is not popular among students. The environment education is an interdisciplinary subject, which is composed of natural science, social studies, earth science, and medical science, that is why the subject is so unsystematic and complicated that appropriate teaching methods and contents for school classes are not able to be developed. Moreover, material and manuals in environment education for students and teachers are limited. While the contents of environment education is composed of field experience learning and experiment learning, but lecture-centered instruction is emphasized in school because of materials, time and experts. Over 300 environmental education teachers are annually produced, but the ratio of employment low. is, Therefore, a retraining program for environment education teacher needs to be developed.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.165-171
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• 2021

The current study investigated cyber learners' use and perceptions of online machine translation (MT) tools. The results show that learners use several MT tools frequently and extensively for various second language learning (L2) purposes according to their needs. The learners' overall perceptions of using MT for English learning were generally positive. The learners reported several advantages of machine translation: ease of use, helpful feedback, effective revision, and facilitation of self-directed learning. At the same time, a considerable number of learners were aware of MT's drawbacks, such as awkward sentences, inaccurate grammar, and inappropriate words, and thus held a negative or skeptical view on the quality and accuracy of MT. These findings have important pedagogical implications for using MT in the context of a cyber university. For successful integration of MT in English classes, teachers need to provide appropriate guidelines and training that will help learners use MT effectively.