• Journal of the Korean Geotechnical Society
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• v.22 no.4
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• pp.85-94
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• 2006

Triaxial tests at isotropic confining pressure of 200 kPa were carried out to show the undrained shear behavior of artificially cemented sands, which were cemented by gypsum, and the influences of relative density and DOC (degree of cementation) were investigated from the results. The yield strength, the elastic secant modulus at yield point and the peak frictional angle of cemented sands increased abruptly compared to uncemented sands, and it was checked that cementation exerts more influence on the behavior of sand than the relative density. But after breakage of the cementation bonds, the relative density was more important factor on the behavior of sand than the cementation. Because the compressibility md the excess pore pressure of cemented sands were reduced due to the cementation bonds, the effective stress path of cemented sands was going toward to the total stress path of uncemented sands. The cementation of sand restricted the dialtion of sand at the pre-yield condition, but induced more dilation in the post-yield condition.

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.963-977
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• 2009

The purpose of this paper is to identify college students' conceptions of the earth system cycles as learners of earth science education (ESE) and draw educational implications. An eight-week creative story writing project was held with 62 non-science students taking a general course on earth science. Their creative stories were categorized by analyzing the conceptions and types of cycle with a story mapping technique. The cycle conceptions of earth systems were expressed diversely into 32; most of the cycle types were circular and complex, while the others were branch-shaped and linear types that fail to complete the cycles. College students' conceptions of the earth system cycles is biased toward natural-abiotic systems; less than 30% of them are shown to be aware of all three categories: natural-abiotic, natural-biotic, and human systems. It is essential to diversify the content of education on earth system cycles and help learners develop systematic methods of thinking so that they will be able to recognize the impacts of feedback from human activities through ESE.

• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.72-77
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• 2024

Recently, the necessity for sound source localization has grown significantly across various industrial sectors. Among the sound source localization methods, sound intensimetry has the advantage of having high accuracy even with a small microphone array. However, the increase in localization error at high Helmholtz numbers have been pointed out as a limitation of this method. The study proposes a method to compensate for the bias error of the measured sound intensity vector according to the Helmholtz numbers by applying deep learning. The method makes it possible to estimate the accurate direction of arrival of the source by applying a dense layer-based deep learning model that derives compensated sound intensity vectors when inputting the sound intensity vectors measured by a tetrahedral microphone array for the Helmholtz numbers. The model is verified based on simulation data for all sound source directions with 0.1 < kd < 3.0. One can find that the deep learning-based approach expands the measurement frequency range when implementing the sound intensimetry-based sound source localization method, also one can make it applicable to various microphone array sizes.

• Journal of Korean Tunnelling and Underground Space Association
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• v.26 no.4
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• pp.315-326
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• 2024

In this study, the Delphi method and AHP (analytic hierarchy process) were used to evaluate tunnel collapse risk from a comprehensive and multifaceted perspective. Influence factors were established through literature reviews, previous studies, and brainstorming sessions with expert groups, resulting in the construction of five main classification systems. A panel of 21 experts was formed, and three rounds of Delphi surveys were conducted to prevent errors and biases in the expert judgment process, thereby enhancing reliability. Ultimately, 14 influence factors were identified through CVR (content validity ratio) and COV (coefficient of variation) analyses of the experts' responses. Subsequently, the AHP method was applied to assess the relative importance of each influence factor and calculate the final composite weights. The timing of support and reinforcement had the highest priority, followed by groundwater inflow, joint conditions, support pattern levels, and auxiliary methods. These findings help identify the key factors affecting tunnel collapse risk and provide a foundation for developing strategies to improve tunnel safety.

• Knowledge Management Research
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• v.25 no.3
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• pp.99-119
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• 2024

This research aims to develop high-quality generative AI services by overcoming the limitations of existing Retrieval-Augmented Generation (RAG) models and implementing an enhanced graph-based RAG system to improve knowledge-based question answering (QA) systems. While traditional RAG models demonstrate high accuracy and fluency by utilizing retrieved information, their accuracy can be compromised due to the use of pre-loaded knowledge without rework. Additionally, the inability to incorporate real-time data after the RAG configuration leads to a lack of contextual understanding and potential biased information. To address these limitations, this study implements an enhanced RAG system utilizing graph technology. This system is designed to efficiently search and utilize information. In particular, LangGraph is employed to evaluate the reliability of retrieved information and to generate more accurate and improved answers by integrating various information. Furthermore, the specific operation method, key implementation steps, and case studies are presented with implementation code and verification results to enhance understanding of Advanced RAG technology. This research provides practical guidelines for actively implementing enterprise services utilizing Advanced RAG, making it significant.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.273-282
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• 2020

This study analyzed the physiological effects of silkworms and silkworm pupae on the reduction of serum lipid levels. Research data specific to silkworms and their pupae published over the last 10 years were collected and analyzed. A large effect size of 0.852 was observed in the overall results and the range of 95% confidence intervals was 0.662 to 0.999. The Q value was 23.264, the Higgin's I² value was 92.217, indicating that each study was heterogeneous. There was no publication bias, as the corrected observed number of statistically significant effect sizes and the expected number of statistically significant effect sizes were both 0.654. The silkworm study showed a large effect size with respect to blood sugar and blood lipid reduction at 0.801 and 0.948, respectively, and LDL-cholesterol reduction at 1.371, showing a very large effect size. Aspartate transaminase / glutamic oxaloacetic transaminase (AST/GOT) was 0.768, alanine transaminase /glutamate-pyruvate transaminase (ALT/GPT) was 0.788, which was a medium effect size. The experiment period had a very large effect size of 1.170 for five to eight weeks and 1.020 for an intake of 1 to 50 mg/kg. The silkworm pupae had a large effect size of 0.991 and 0.951, respectively on blood lipids and total cholesterol reduction. The experimental period showed a very large effect size at 1.103 for more than nine weeks, and the intake showed a large effect size at 0.855 for 5001 mg/kg.

• Journal of Bio-Environment Control
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• v.27 no.1
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• pp.64-70
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• 2018

In this study, eleven major coastal areas were selected and the climate environment and the greenhouse direction were analyzed. This research investigates the greenhouse heat loss according to the wind environment at target areas. The target areas were selected based on heated greenhouse cultivation area and wind environment standard. Temperature, wind speed, and wind direction among weather data for 30 years were collected and analyzed. The data were divided into the minimum, average, and maximum temperatures and the Meteorological Agency criteria applied to the weather and wind direction criteria. Data were collected in the range of $0{\sim}180^{\circ}$ considering the symmetry of the shape of the greenhouse. In addition, the wind direction is different for each region and the applied wind direction can be different when referring to the longitudinal direction of the greenhouse and the data are collected in the range of $0{\sim}90^{\circ}$. The results of this study are expected to be used to calculate the heating load of greenhouse installed in places wind speed high.

• Korean journal of communication and information
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• v.82
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• pp.29-72
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• 2017

This study explores the ways that newspapers report the administrations' policies of 'university reform' from February 2008 to December 2015 through critical discourse analysis. As results, Donga-ilbo and Chosun-ilbo produce the discourse that the crisis of universities is so real and dangerous that it brings about the crisis of our nation, and that the current university systems should be changed into neoliberal systems because it is the critical reason of the crisis. Using various discursive strategies, they construct their reports as objective, real and embodying general goods and then successfully build the neoliberal discourse on university reform as commonsensical and natural. They finally acquire the discursive hegemony for university reform. Kyunghyang-shinmun and Hankyoreh-shinmun produce the anti-discourse against that of Donga-ilbo and Chosun-ilbo. However, they can not develop substantial hegemony struggles for the discourse of university reform because of the limitations of their discourse in terms of quantity and quality and the social and press structures overwhelmingly inclined for neo-liberalism.

• Korean Journal of Cognitive Science
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• v.27 no.4
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• pp.599-618
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• 2016

The relationship between dependent personality traits and depression has been widely studied in the field of psychology. However, the existing evidence is mixed and often contradictory, obscuring the precise nature of this relationship. Given that the most common method of measuring the construct of dependency has been to administer self-report instruments, it is possible that implicit dependency, another parameter of dependency that is distinct from explicit dependency measured via self-report, is confounding these results. The current study aimed to clarify the relationship between dependency and depression by comparing the effect of implicit and explicit dependency. Implicit dependency was measured via the Single Category-Implicit Association Test (SC-IAT), a test of implicit personality that has shown to have good validity and reliability in previous studies. In addition, we examined the effect of gender on this relationship, given the potential role of gender stereotype that may make male participants show lower levels of dependency when measured through self-report (vs. SC-IAT). Results showed that implicit and explicit dependency indeed had separate and distinct relationships, and the relationships depends on participants' gender. Among female participants, increased explicit dependency predicted depression only when implicit dependency was also elevated. In contrast, explicit dependency predicted depression regardless of the level of implicit dependency in male participants. These findings suggest that implicit and explicit dependency may be separate parameters capturing different aspects of dependent personality traits, further supporting the need to consider the implicit aspect of personality in personality assessment research. Implications and limitations of the current findings and directions for future research are discussed.

• 재활복지
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• v.20 no.3
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• pp.83-104
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• 2016

The purpose of this study was to identify improvement in locomotor skills by physical activity programs. Method of this study indicates that the current literature (2004-2015) were reviewed and the data from 24 studies with 518 disabled children were analyzed by using CMA3 (Comprehensive Meta-Analysis ver.3) program. Analyzing the data of the primary studies included gender, age, type of disabilities, duration of the physical activity program intervention(weeks, session per week, minutes per session), run, gallop, hop, leap, horizontal jump, and slide. For sensitivity analysis, publication bias and outlier were reviewed. Results of analysis indicates that the overall effect size of improvement in locomotor skills by physical activity programs was 1.143. There were large effect size in categorical analyses. Autistic spectrum among type of disabilities was 1.697 and run among 6 of locomotor skills was 1.019. 8~10 aged was 0.920 and the intervention of 100~120minutes(1.261)per session, 3sessions(1.078) per week, 16~20(1.587)weeks was found to be more larger than the others. In conclusion, improvement in locomotor skills by program participation showed that treated group was 37% more effective than control group.