• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.67-71
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• 2024

Mo Youzhi (1811-1871) was a famous scholar, poet and calligrapher in the late Qing Dynasty. Mo Youzhi's life was rich in experience and broad vision, especially during his ten years in the Shogunate of the Tsengoku Domain, and he made friends with many political and cultural elites. Mo Youzhi is talented and diligent, and has a good relationship with celebrities from all walks of life at that time, so that his talents have been fully demonstrated. In the Qing Dynasty, the study of calligraphy became the absolute dominant force in the world of calligraphy, and the first great prosperity occurred after the Qin and Han dynasties. In accordance with the times, Mo Youzhi devotes himself to learning, takes into account the calligraphy, and goes out on his own path. Moe's work seal, li, kai, line, especially fine seal. Based on its Lishu, this paper expounds its typical style and atypical style respectively, and also discusses the relationship between its Lishu and other fonts. Finally, the author briefly summarizes the significance of Li Shu for the creation of contemporary Li Shu.In the course of discussion, always based on calligraphy ink, consult the relevant literature, combined with Mo Youzhi's life experience, try to be objective and fair, the listed points of view can be based on.

• Convergence Security Journal
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• v.16 no.3_1
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• pp.27-35
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• 2016

This thesis analyzes the backgrounds of the third offset strategy of the US Department of Defense. The key technology areas to be developed and the implications of the 3rd strategy are also examined. The potential great powers, China and Russia have catched up with US in the certain areas of military technologies. The technological superiority of US military is found to have been eroded. The US DOD needs a new defense policy called the 3rd offset strategy to meet this new challenge. The 5 basic technology areas were identified; learning machines, human-machine collaboration, machine-assisted human operations, human-machine combat teaming, and autonomous weapons. The 3rd offset strategy should be managed not to move to the new arms race with rivalries. The defense acquisition system also needs to be improved for the smooth flow of the advanced commercial technologies to the defense sector. Korea needs to figure out the possible technologies of co-research and development with US.

• Journal of Educational Research in Mathematics
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• v.24 no.2
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• pp.103-124
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• 2014

The process of analogical reasoning can be conventionally summarized in five steps : Representation, Access, Mapping, Adaptation, Learning. The purpose of this study is to develop more detailed model for reason of analogies considering the distinct characteristics of the mathematical education based on the process of analogical reasoning which is already established. Ultimately, This model is designed to facilitate students to use analogical reasoning more productively. The process of developing model is divided into three steps. The frist step is to draft a hypothetical model by looking into historical example of Leonhard Euler(1707-1783), who was the great mathematician of any age and discovered mathematical knowledge through analogical reasoning. The second step is to modify and complement the model to reflect the characteristics of students' thinking response that proves and links analogically between the law of cosines and the Pythagorean theorem. The third and final step is to draw pedagogical implications from the analysis of the result of an experiment.

• Journal of the Korean housing association
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• v.21 no.4
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• pp.41-50
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• 2010

In recent study, we are referencing the necessity by examining the environment for housing policies for elderly Koreans. In reality, Japan, who is ahead of our country, has already experienced and is currently in progress for the aging society. They have developed a profound housing policy under all circumstances with the change of aging society. There forth, we are in progress of examining the series of helpful characteristics being presented by Japan, and how they have expanded and improved their housing support services. Our country must clearly ensure a resolution for investigating a new direction in housing policy and housing support services by learning through the development process of Japan's housing support services for the aging society. For instance, Japan have provided housing policy in both housing and welfare for senior citizens. Recently, the reason they are well adjusted for housing and welfare linked with special care and supportive living services and being skillfully focused on the maintenance policy is because they have great implications on how to successively organize housing policies for the aged society. Recent studies show preferred living arrangement and housing policy of the elderly for stabilization in the aging society. First, must be aware of the leading factors for housing in later life, organize dwelling patterns for diverse characteristics and give consideration for future life plans. Second, must continuously maintain an accessible environment in all community levels without changing the required services in their livelihood by adjusting to diverse changes for the aged. In addition, must organize flexibility in choice following these housing-support services for the elderly's desire and self reliance which raises profound questions on cultural policy.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.37-44
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• 2022

Plug-in Hybrid electric vehicles (PHEV) show great potential to reduce gas emission, improve fuel efficiency and offer more driving range flexibility. Moreover, PHEV help to preserve the eco-system, climate changes and reduce the high demand for fossil fuels. To address this; some basic components and energy resources have been used, such as batteries and proton exchange membrane (PEM) fuel cells (FCs). However, the FC remains unsatisfactory in terms of power density and response. In light of the above, an electric storage system (ESS) seems to be a promising solution to resolve this issue, especially when it comes to the transient phase. In addition to the FC, a storage system made-up of an ultra-battery UB is proposed within this paper. The association of the FC and the UB lead to the so-called Fuel Cell Battery Electric Vehicle (FCBEV). The energy consumption model of a FCBEV has been built considering the power losses of the fuel cell, electric motor, the state of charge (SOC) of the battery, and brakes. To do so, the implementing a reinforcement-learning energy management strategy (EMS) has been carried out and the fuel cell efficiency has been optimized while minimizing the hydrogen fuel consummation per 100km. Within this paper the adopted approach over numerous driving cycles of the FCBEV has shown promising results.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.34-34
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• 2023

The Chah-Nimeh reservoirs, which are a sort of natural lakes located in the border of Iran and Afghanistan, are the main drinking and agricultural water resources of Sistan arid region. Considering the occurrence of intense seasonal wind, locally known as levar wind, this study aims to explore the possibility to provide a TSM (Total Suspended Matter) monitoring model of Chah-Nimeh reservoirs using multi-temporal satellite images and in-situ wind speed data. The results show that a strong correlation between TSM concentration and wind speed are present. The developed empirical model indicated high performance in retrieving spatiotemporal distribution of the TSM concentration with R²=0.98 and RMSE=0.92g/m³. Following this observation, we also consider a machine learning-based model to predicts the average TSM using only wind speed. We connect our in-situ wind speed data to the TSM data generated from the inversion of multi-temporal satellite imagery to train a neural network based mode l(Wind2TSM-Net). Examining Wind2TSM-Net model indicates this model can retrieve the TSM accurately utilizing only wind speed (R²=0.88 and RMSE=1.97g/m³). Moreover, this results of this study show tha the TSM concentration can be estimated using only in situ wind speed data independent of the satellite images. Specifically, such model can supply a temporally persistent means of monitoring TSM that is not limited by the temporal resolution of imagery or the cloud cover problem in the optical remote sensing.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.492-500
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• 2020

The purpose of this study was to investigate (1) the aspect of the correlation among subcategories in English reading anxiety, (2) the aspect of the cause and effect relation. The reading anxiety was measured by a questionnaire. Then, the results were analyzed by SPSS program. The findings of this study were as follows: First, most of the sub-elements in reading anxiety in both groups correlate with one another even though the overall coefficient of correlation in high achievement group is rather higher. Second, it is also found that the lack of confidence for reading has negative influence on entire reading anxiety in both groups, which is followed by lengthy reading, evaluation and general anxieties in consecutive order. The implication of this study is that the teachers and students should be aware that the constituents of reading anxiety not only correlate with one another, but have great deal of relative influence on reading process. Therefore, teachers should organize a learning environment where learners can minimize the feeling of anxiety.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3168-3186
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• 2020

Automatic topic essay generation (TEG) is a controllable text generation task that aims to generate informative, diverse, and topic-consistent essays based on multiple topics. To make the generated essays of high quality, a reasonable method should consider both diversity and topic-consistency. Another essential issue is the intrinsic link of the topics, which contributes to making the essays closely surround the semantics of provided topics. However, it remains challenging for TEG to fill the semantic gap between source topic words and target output, and a more powerful model is needed to capture the semantics of given topics. To this end, we propose a pretraining-based contextual self-attention (PC-SAN) model that is built upon the seq2seq framework. For the encoder of our model, we employ a dynamic weight sum of layers from BERT to fully utilize the semantics of topics, which is of great help to fill the gap and improve the quality of the generated essays. In the decoding phase, we also transform the target-side contextual history information into the query layers to alleviate the lack of context in typical self-attention networks (SANs). Experimental results on large-scale paragraph-level Chinese corpora verify that our model is capable of generating diverse, topic-consistent text and essentially makes improvements as compare to strong baselines. Furthermore, extensive analysis validates the effectiveness of contextual embeddings from BERT and contextual history information in SANs.

• Human Ecology Research
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• v.51 no.5
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• pp.497-511
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• 2013

This study aimed to examine Korean men's experiences of work-family balance in dual income families with children under six years of age. We focused on identifying the difficulty of balancing work and family considering their individual, social, and cultural conditions. The method was a qualitative study involving two in-depth interviews with each of 12 men, and analyzing the data through the grounded theory approach. From the results, a model of men's work-family experience was constructed. It demonstrates the central phenomena (difficulties of balancing), the causal conditions (lacking time for family, seeking support from the employer, and learning husband's roles insufficiently), the contextual conditions (remaining paternalism and changing husband's roles), the intervening conditions (workplace, childcare support, and wife characteristics), and strategies (help from relatives, utilizing daycare centers, controlling birth, managing work conditions, and using family polices). We clarify the overall picture of working and family life experiences, and also show how men deal with their problems in their circumstances by balancing working and family life. In conclusion, males have difficulty participating in family life autonomously because of having less decision-making power than the wife. Moreover, the great responsibilities of the breadwinner disturb the work-family balance. Men devote themselves to working to hold a job instead of spending time with their family. However, they ultimately value work-family balance with respect to 'keeping a peaceful family life'.

• Structural Engineering and Mechanics
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• v.56 no.4
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• pp.549-567
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• 2015

A first-order moment method (FORM) reliability analysis is commonly used for structural stability analysis. It requires the values and partial derivatives of the performance to function with respect to the random variables for the design. These calculations can be cumbersome when the performance functions are implicit. A Gaussian process (GP)-based response surface is adopted in this study to approximate the limit state function. By using a trained GP model, a large number of values and partial derivatives of the performance functions can be obtained for conventional reliability analysis with a FORM, thereby reducing the number of stability analysis calculations. This dynamic renewed knowledge source can provide great assistance in improving the predictive capacity of GP during the iterative process, particularly from the view of machine learning. An iterative algorithm is therefore proposed to improve the precision of GP approximation around the design point by constantly adding new design points to the initial training set. Examples are provided to illustrate the GP-based response surface for both structural and non-structural reliability analyses. The results show that the proposed approach is applicable to structural reliability analyses that involve implicit performance functions and structural response evaluations that entail time-consuming finite element analyses.