• Journal of Digital Contents Society
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• v.5 no.1
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• pp.7-11
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• 2004

There are many problems that must solve to construct next generation high-speed communication network. Among these, item that must consider basically is characteristics analysis of traffic that nows to network Traffic characteristics of many Internet services that is offered present have shown that network traffic exhibits at a wide range of scals-self-similarity. Self-similarity is expressed by long term dependency, this is contradictory concept with Poisson model that have relativity short term dependency. Therefore, first of all, for design and dimensioning of next generation communication network, traffic model that are reflected burstiness and self-similarity is required. Here self-similarity can be characterized by Hurst parameter. In this paper, the calculation equation is derived considering queueing delay and self-similarity of data traffic art compared with simulation results.

• Proceedings of the KIEE Conference
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• summer
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• pp.734-736
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• 2004

The main objective of this study is to applicate net metering system in residential sector. The net metering system can be considered as a kind of tariff system suitable for self generation using renewable energies in our country.

• International Journal of Concrete Structures and Materials
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• v.9 no.1
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• pp.69-88
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• 2015

Self-consolidating concrete (SCC) is a stable and cohesive high consistency concrete mix with enhanced filling ability properties that reduce the need for mechanical compaction. Limited standards and specifications have been reported in the literature on the structural behavior of reinforced self-compacting concrete elements. The significance of the research presented in this paper stems from the need to investigate the effect of enhanced fluidity of SCC on the structural behavior of high strength self-consolidating reinforced concrete beams. To meet the objectives of this research, twelve reinforced concrete beams were prepared with two different generations of superplasticizers and designed to exhibit flexure, shear, or bond splitting failure. The compared beams were identical except for the type of superplasticizer being used (second generation sulphonated-based superplasticizer or third generation polycarboxylate-based superplasticizer). The outcomes of the experimental work revealed comparable resistance of beam specimens made with self-compacting (SCC) and conventional vibrated concrete (VC). The dissimilarities in the experimental values between the SCC and the control VC beams were not major, leading to the conclusion that the high flowability of SCC has little effect on the flexural, shear and bond strengths of concrete members.

• Journal of Korean Elementary Science Education
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• v.30 no.1
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• pp.22-37
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• 2011

In this study, we investigated the perceptions of elementary school teachers on the use of analogy generation in scientifically-gifted education. The relationships among the perceptions and the self-perception as teacher for scientifically-gifted students were also investigated. A survey was administered to 119 elementary school teachers, and in-depth interviews with some teachers were conducted. The results revealed that the teachers had a relatively good understanding of the advantages/disadvantages of analogy generation in cognitive, affective, and learning environmental aspects. Their perceptions on the usability of analogy generation and their willingness to practice of it in scientifically-gifted education was also positive. They highly perceived on the various factors related to effective uses of it in scientifically-gifted education. Their self-perception as teacher for scientifically-gifted students was comparatively low, and significantly related with the perceptions on the advantages of it, the usability, the practical methods to use, and the various factors related to effective uses in scientifically-gifted education. Educational implications of these findings are discussed.

• Macromolecular Research
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• v.16 no.2
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• pp.113-119
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• 2008

A series of amphiphilic dendrons n-18 (n: generation number, 18: octadecyl chain) based on an aliphatic polyether denderitic core and octadecyl peripheries were synthesized using a convergent dendron synthesis consisting of a Williamson etherification and hydroboration/oxidation reactions. This study investigated their thermal and self-assembling behavior in the solid state using differential scanning calorimetry (DSC), Fourier transform infrared (FT-IR) absorption spectroscopy, and small angle X-ray scattering (SAXS). DSC indicated that the melting transition and the corresponding heat of the fusion of the octadecyl chain decreased with each generation. FT-IR showed that the hydroxyl focal groups were hydrogen-bonded with one another in the solid state. DSC and FT-IR indicated microphase-separation between the hydrophilic dendritic cores and hydrophobic octadecyl peripheries. SAXS data analysis in the solid state suggested that the lower-generation dendrons 1-18 and 2-18 self-assemble into lamellar structures based upon a bilayered packing of octadecyl peripheries. In contrast, the analyzed data of higher-generation dendron 3-18 is consistent with 2-D oblique columnar structures, which presumably consist of elliptical cross sections. The data obtained could be rationalized by microphase-separation between the hydrophilic dendritic core and hydrophobic octadecyl peripheries, and the degree of interfacial curvature associated with dendron generation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.541-544
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• 2023

LLM(Largescale Language Model)의 성능 향상을 위한 비용 효율적인 방법으로 ChatGPT, GPT-4와 같은 초거대 모델의 output에 대해 SLM(Small Language Model)을 finetune하는 방법이 주목받고 있다. 그러나, 이러한 접근법은 주로 범용적인 지시사항 모델을 위한 학습 방법으로 사용되며, 제한된 특정 도메인에서는 추가적인 성능 개선의 여지가 있다. 본 연구는 특정 도메인(Writing Assistant)에서의 성능 향상을 위한 새로운 방법인 Self-Guided Approach를 제안한다. Self-Guided Approach는 (1) LLM을 활용해 시드 데이터에 대해 도메인 특화된 metric(유용성, 관련성, 정확성, 세부사항의 수준별) 점수를 매기고, (2) 점수가 매겨진 데이터와 점수가 매겨지지 않은 데이터를 모두 활용하여 supervised 방식으로 SLM을 미세 조정한다. Vicuna에서 제안된 평가 방법인, GPT-4를 활용한 자동평가 프레임워크를 사용하여 Self-Guided Approach로 학습된 SLM의 성능을 평가하였다. 평가 결과 Self-Guided Approach가 Self-instruct, alpaca와 같이, 생성된 instruction 데이터에 튜닝하는 기존의 훈련 방법에 비해 성능이 향상됨을 확인했다. 다양한 스케일의 한국어 오픈 소스 LLM(Polyglot1.3B, PolyGlot3.8B, PolyGlot5.8B)에 대해서 Self-Guided Approach를 활용한 성능 개선을 확인했다. 평가는 GPT-4를 활용한 자동 평가를 진행했으며, Korean Novel Generation 도메인의 경우, 테스트 셋에서 4.547점에서 6.286점의 성능 향상이 발생했으며, Korean scenario Genration 도메인의 경우, 테스트 셋에서 4.038점에서 5.795 점의 성능 향상이 발생했으며, 다른 유사 도메인들에서도 비슷한 점수 향상을 확인했다. Self-Guided Approach의 활용을 통해 특정 도메인(Writing Assistant)에서의 SLM의 성능 개선 가능성을 확인했으며 이는 LLM에 비용부담을 크게 줄이면서도 제한된 도메인에서 성능을 유지하며, LLM을 활용한 응용 서비스에 있어 실질적인 도움을 제공할 수 있을 것으로 기대된다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.6
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• pp.717-725
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• 2004

A power generation systems are proposed to convert ambient mechanical vibration into electrical energy using cantilever-type piezoelectric materials. The vibration-based power device can be used for self-powered systems without batteries. This paper presents the theoretical analysis for the coupled equations of piezoelectric and structural motions and investigates the dynamic characteristics of the self-power system using transfer function method. The theoretical model is verified by the finite element analysis of the resonance frequency, the dynamic response of the structure and the sensor sensibility. Experimental results measured using a prototype system agree with the theoretical predictions. The system is shown to produce 34.5 ㎼ in average. Finally, we perform the optimal design for system variables to maximize output power.

• 한국연소학회:학술대회논문집
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• 2004.06a
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• pp.27-33
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• 2004

The Noise generation mechanisms of propane laminar premixed flames on a slot burner have been studied experimentally. The sound levels and frequencies were measured for various mixture flow rates (velocities) and equivalence ratios. The primary frequency of self-induced noise increases with the mean velocity of mixture as $f{\;}{\propto}{\;}U_f^{1.144}$ and the measured noise level increases with the mixture flow rate and equivalence ratio as $p{\;}{\propto}{\;}U_f^{1.7}$$F^{8.2}$. The nature of flame oscillation and the noise generation mechanisms are also investigated using a high speed CCD camera and a DSRL camera. The repetition of sudden extinction at the tip of flame is evident and the repetition rates are identical to the primary frequencies obtained from the FFT analysis of sound pressure signals. CH chemiluminescence intensities of the oscillating flames were also measured by PMT with a 431 nm(10 FWHM) band pass filter and compared to the pressure signals.

• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.142-154
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• 2014

The purpose of this study is to classify fashion images of senior women who have emerged as influential customers in the fashion industry. Characteristics of fashion images of senior women are identified by fashion style, preference color, and self-image. With the collected data, the Q group, consisting of Korean women who are in their 50s, was targeted using the Q methodology. The following factors were evaluated through in-depth interviews: fashion style, preference color and self-image. The fashion images of senior women were classified into the following 4 types: Characteristic modern, Reasonable basic, Comfortable contemporary, and Conservative elegance. Those classified fashion image types were influenced by the factors of nobleness, usefulness, personality, fashionableness, and youthfulness in accordance with fashion style, preference color, and self-image. The results of this study may provide basic information for fashion image planning for senior women and meaningful data for redefining and diversifying the concept of senior fashion brand which reflects the generation's changed taste and lifestyle.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.418-430
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• 2022

This study aims to analyze consumers' purchase decision-making process of buying avatar fashion items on the Metaverse platform. Drawing on the connection between the self-expression tendency of the MZ generation and that of avatars in the Metaverse, this study uses a qualitative research method to analyze how consumers express their self-image through the appearance of their avatars. Unlike previous studies on the clothing purchase decision-making process, this study shows that purchasing and consumption behavior involve the following six stages: recognizing desire, collecting information, evaluating alternatives, making purchases, evaluating the consumption, and post-purchase action-taking. In the first stage of the purchase decision-making process, consumers' desire arises with self-image expression and confirmation. In the second stage, consumers have a high tendency to shop in the best item category. In the alternative evaluation stage, consumers tend to seek items that match their highest standard while considering their personal preferences. In the fourth stage, when making actual purchases, unplanned purchase behavior often occurs along with an active practice of alternative evaluation. In the fifth stage, the evaluation of the consumption shows that consumers achieve satisfaction by applying a style to their avatars that they are unable to try in the real world. In the last stage, consumers often use their purchases to communicate their various styles with other online consumers. Therefore, we conclude that the online purchase decision-making process differs from the offline process as it is divided into six stages.