• Honam Mathematical Journal
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• v.42 no.2
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• pp.219-234
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• 2020

The fundamental relation on a fuzzy hyperring is defined as the smallest equivalence relation, such that the quotient would be the ring, that is not commutative necessarily. In this paper, we introduce a new fuzzy strongly regular equivalence on fuzzy hyperrings, where the ring is commutative with respect to both sum and product. With considering this relation on fuzzy hyperring, the set of the quotient is a commutative ring. Also, we introduce fundamental functor between the category of fuzzy hyperrings and category of commutative rings and some related properties. Eventually, we introduce α-part in fuzzy hyperring and determine some necessary and sufficient conditions so that the relation α is transitive.

• Proceedings of the IEEK Conference
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• 2000.06a
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• pp.221-224
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• 2000

In this paper, we introduce an efficient and security-enhanced re-authentication and key exchange protocol for IEEE 802.11 Wireless LANs using Re-authentication Period. We introduce a low computational complexity re-authentication and key exchange procedure that provides robustness in face of cryptographic attacks. This procedure accounts for the wireless media limitations, e.g. limited bandwidth and noise. We introduce the Re-authentication Period that reflects the frequency that the re-authentication procedure should be executed. We provide the user with suitable guidelines that will help in the determination of the re-authentication period.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.9-19
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• 2020

Recently, a technique for applying a deep learning language model pretrained from a large corpus to fine-tuning for each application task has been widely used as a language processing technology. The pretrained language model shows higher performance and satisfactory generalization performance than existing methods. This paper introduces the major research trends related to deep learning pretrained language models in the field of language processing. We describe in detail the motivations, models, learning methods, and results of the BERT language model that had significant influence on subsequent studies. Subsequently, we introduce the results of language model studies after BERT, focusing on SpanBERT, RoBERTa, ALBERT, BART, and ELECTRA. Finally, we introduce the KorBERT pretrained language model, which shows satisfactory performance in Korean language. In addition, we introduce techniques on how to apply the pretrained language model to Korean (agglutinative) language, which consists of a combination of content and functional morphemes, unlike English (refractive) language whose endings change depending on the application.

• Proceedings of the KSME Conference
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• 2007.05a
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• pp.1648-1651
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• 2007

The goal of this paper is to introduce two methods to determine a model for the accelerated factor equation for pneumatic cylinder according to the Black equation shape. The loads consist of working pressure and temperature and we adjust these two parameters to reduce the test time but keeping the true behavior of deterioration. The first part will introduce a method using accelerated factor coming from experimental results to determine the coefficient of the Black equation by the method of the least square theory. The second part will introduce another method based on various conditions of test with the assumption that the effect of temperature and the effect of pressure on the life of pneumatic cylinder are independent. In these two cases, the results are the unknown coefficients of the Black equation.

• East Asian mathematical journal
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• v.22 no.2
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• pp.131-149
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• 2006

In this paper we introduce the concept of $\gamma$-preopen sets in a topological space together with its corresponding $\gamma$-preclosure and $\gamma$-preinterior operators and a new class of topology $\tau_{{\gamma}p}$ which is generated by the class of $\gamma$-preopen sets. Also we introduce $\gamma$-pre $T_i$ spaces(i=0, $\frac{1}{2}$, 1, 2) and study some of its properties and we proved that if $\gamma$ is a regular operation, then$(X,\;{\tau}_{{\gamma}p})$ is a $\gamma$-pre $T\frac{1}{2}$ space. Finally we introduce $(\gamma,\;\beta)$-precontinuous mappings and study some of its properties.

• Journal of The Korean Association For Science Education
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• v.11 no.2
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• pp.79-85
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• 1991

According to the rapid change of the modern society, science & technology influences the society significantly. Thus, Korean education, especially the science education must be reviewed in the terms of that, the purpose of this article is to introduce social, environmental context's science education-STS education. STS education is to arise the ability of the democratic decision-making & participating in a discussion. The areas of this are knowledge, process, creativity, attitude, application. Also there are social issues approach & the social studies of science approach in the STS education. The social issues approach is the predominant approach to STS education; the social studies of science approach is often found in the form of goals & objectives for STS education. In order to introduce STS education to Korean science education,this author suggests the following; 1. The relation between science & society in science education must be emphasized more. 2. The study and development of STS education appropriate for Korean society must be preceded. 3. The new course about STS and technical education in the level of college must be developed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.66-76
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• 2012

In this paper, we introduce the concept of ordinary smooth topology on a set X by considering the gradation of openness of ordinary subsets of X. And we obtain the result [Corollary 2.13] : An ordinary smooth topology is fully determined its decomposition in classical topologies. Also we introduce the notion of ordinary smooth [resp. strong and weak] continuity and study some its properties. Also we introduce the concepts of a base and a subbase in an ordinary smooth topological space and study their properties. Finally, we investigate some properties of an ordinary smooth subspace.

• Korean Journal of Logic
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• v.17 no.1
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• pp.181-196
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• 2014

This paper deals with Kripke-style semantics for fuzzy logics. More exactly, I introduce algebraic Kripke-style semantics for some weakening-free extensions of the uninorm based fuzzy logic UL. For this, first, I introduce several weakening-free extensions of UL, define their corresponding algebraic structures, and give algebraic completeness. Next, I introduce several algebraic Kripke-style semantics for those systems, and connect these semantics with algebraic semantics.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.43-48
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• 2017

The first tram in korea was commended the operation from 1899 to 1968 as a core role of public transportation. However, tram recently is being recognized as an alternative against a traffic congestion, a super-aged society and an environmental pollution problem. Because of these advantages, we are trying to introduce tram in korea. The efforts to introduce trams have focused on the economic analysis for tram construction. But we must be interested in tram operational safety. Early opening tram accidents could affect a negative impact on the additional tram introduction. We are trying to introduce trams in Daejeon, Wi-Rye and Su-won. In this paper, I want to check the safety issues in tram operation phase.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.1738-1764
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• 2019

With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and online advertising and so on. This paper introduces deep learning techniques from various aspects, including common models of deep learning and their optimization methods, commonly used open source frameworks, existing problems and future research directions. Firstly, we introduce the applications of deep learning; Secondly, we introduce several common models of deep learning and optimization methods; Thirdly, we describe several common frameworks and platforms of deep learning; Finally, we introduce the latest acceleration technology of deep learning and highlight the future work of deep learning.