• 한국문헌정보학회지
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• 제26권
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• pp.53-74
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• 1994

Creative thinking in education is a common assumption to be accomplish in this information age. Information education can contribute to build the ability to think creatively. The Author explored how information education conduces the creative thinking ability that is necessary to the development of independent and competent study for students themselves. The writer also expressed the integrated education makes students think synthetically and synthetic educational experience derives creative thinking. She based her arguments upon the theory of the psychology of memory and the Piaget's cognitive structure. To increase the effects of information education, it is necessary to integrate the curriculums and learning method of the information education and those of other areas of learning, i,e., languages, literatures, social sciences, sciences, mathematics, etc. Here, author asserted that the teaching of information skill within classroom curriculums for all subject areas can make the integrated effects on various classroom curriculums. On the basis of the findings of this study, the author recommended that every school needs to prepare enough books and other media for the students to drill information skill. Consequently, to build creative thinking ability for He students, librarians, classroom teachers and school principals who have influence on the information education, have to cooperate to initiate integrated information education for the student.

• 비교문화연구
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• 제37권
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• pp.267-286
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• 2014

The purpose of this study is to improve the writing skills through activities to read and summarize the internet children newspaper article. The subjects of study are the college students of A2-B1 level in the French writing classes. The range of study was as follows: - As the previous activity of writing, activities of teaching and learning of vocabularies to comprehend the internet children newspaper article. - learn about the rules of summary - writing the summary The children's newspaper used in this study has the advantage that can increase the learning motivation of learners as having a topicality by itself and a level of easy language. The summary activities can be called a comprehensive activities of teaching and learning that combine the critical reading ability that can distinguish important information and secondary one with the creative writing ablility that can reconstruct one's own style from the selected content. In addition, the summary assists the understanding of a text and is a help to its memory. It is the strategy of reading comprehension and also is simultaneously the strategy of writing that can write with one's own vocabulary by newly structuring the text. The results of this study will provide a vitality for the education environment and field of study of French language that have been neglected the writing ability. Moreover it will be the motivation to propose a way of a balanced French language communication to our French language learners weighted on oral communication.

• Geomechanics and Engineering
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• 제30권1호
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• pp.75-91
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• 2022

This paper aims to show how to use several Machine Learning (ML) methods to estimate the TBM penetration rate systematically (TBM-PR). To this end, 1125 datasets including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), punch slope index (PSI), distance between the planes of weakness (DPW), orientation of discontinuities (alpha angle-α), rock fracture class (RFC), and actual/measured TBM-PRs were established. To evaluate the ML methods' ability to perform, the 5-fold cross-validation was taken into consideration. Eventually, comparing the ML outcomes and the TBM monitoring data indicated that the ML methods have a very good potential ability in the prediction of TBM-PR. However, the long short-term memory model with a correlation coefficient of 0.9932 and a route mean square error of 2.68E-6 outperformed the remaining six ML algorithms. The backward selection method showed that PSI and RFC were more and less significant parameters on the TBM-PR compared to the others.

• 한국비블리아학회지
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• 제21권3호
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• pp.17-27
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• 2010

본 연구는 대학생들의 문헌 독해 실태를 분석, 문제를 파악하여 개선방안을 제언하기 위해 수행되었다. A대학교 1학년생을 대상으로 지문을 읽는 시간 독해패턴 이해력 기억력 독해습관 및 태도 등을 분석한 결과, 첫째 수능평균을 기준으로는 조사대상 학생의 58%가 양호하고 42%가 미흡한 것으로 분석되었다. 둘째 조사대상 학생의 77%는 양호한 패턴을 가지 있으나 23%는 독서패턴에 문제가 있는 것으로 파악되었다. 셋째 이해력과 기억력을 평가한 결과 각각 전체의 69%와 67%가 양호한 것으로, 31%와 33%가 보통 또는 미흡으로 평가되었다. 넷째 평소 독서습관 및 태도를 조사한 결과, 문제가 없는 것으로 파악된 학생은 평균 77%, 문제가 있는 학생은 평균 23%로 파악되었다. 본 연구에서는 이 같은 문제를 해소하기 위해 첫째 대학생들의 독해평가를 위한 과학적이고 표준화된 평가도구를 개발할 것을, 둘째 입학전형과정 또는 입학 후에 독해능력과 독서습관 및 태도를 평가할 것을 제언하였다. 그리고 평가결과 미진한 학생들을 교육할 수 있는 가칭 기초학력교육원을 운영할 것을 제언하였다.

• 대한본초학회지
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• 제21권2호
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• pp.63-75
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• 2006

Objectives : We investigated the effects of Liriopis Tuber on the nervous protection. Methods : We measured the reaction behavior with EPM(Elevated Plus Maxe) and MWM(Morris Water Maze) after applying restraint stress to rats. Also, the degrees of AchE generation were measured with immunohistochemical method in the regions of hippocampus, and the degree of TH generation in the regions of VTA and LC, respectively. Results : 1. As the results of measuring how long EPM which reflects anxiety reaction stayed in the open arm, there was the trend which can suppress anxiety reaction in the MMD+stress group(Liriopis Tuber+stress) but no statistical significance. The counting results how many EPM passed between opened and closed arm showed suppression trend against a physical activity in the saline+stress group but there was no statistical significance. 2. According to the result of MWM, the saline+stress group showed the learning retardation which means increased time arriving at goal compared to ti1e normal group at the second and third day of measurement. On the contrary, a learning retardation was significantly decreased in the MMD+stress group. Among the probe trial test a memory loss occurred in the saline+stress group, meanwhile memory ability was notably increased in the saline-stress group. 3. The degree of TH generation was investigated at the VTA and LC respectively after test animals treated with drug. In the saline+stress group, TH-immunoreactive cells were significantly increased, and these stress-induced TH increases were suppressed in the saline+stress group at the VTA region. However, the saline+stress group did not show any significant difference. 4. the degree of AchE generation was investigated at the CA3 of hippocampus. The saline+stress group showed that AchE-immunoreactive cells were significantly decreased. Those stress-induced reductions of AchE cells were meaningfully recovered in the saline+stress group. Although the cells showed recovery trend in the region of CA1 of hippocampus, statistical significance was not observed. Conclusion : The results of our study indicate that Liriopis Tuber can improve spatial memory ability of rats applied a restraint stress. This improvement of the spatial memory ability is considered to have an efficacy of nervous protection that Liriopis Tuber suppresses the generation of AchE in the hippocampus region and enhances the generation of TH in the VTA.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 1998년도 춘계학술대회논문집; 용평리조트 타워콘도, 21-22 May 1998
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• pp.273-279
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• 1998

An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and is applied to many engineering algorithm recently. In this paper, the combined optimization algorithm is proposed for multi-optimization problem by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed optimization algorithm is identified by using two multi-peak functions which have many local optimums and optimization of the unbalance response function for rotor model.

• 대한한의학회지
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• 제30권3호
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• pp.1-14
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• 2009

Objectives : Alzheimer's disease (AD) is characterized by neuronal loss and extracellular senile plaque. Moreover, the cellular actions of ${\beta}$-amyloid (A${\beta}$ play a causative role in the pathogenesis of AD. This study was designed to determine whether Woo-Gui-Um, a commonly used Korean herbal medicine, has the ability to protect cortical and hippocampal neurons against A${\beta}_{25-35}$ neurotoxicity Methods : In the present study, the authors investigated the preventative effects of the water extract of Woo-Gui-Um in a mouse model of AD. Memory impairment was induced by intraventricularly (i.c.v.) injecting A${\beta}_{25-35}$ peptides into mice. Woo-Gui-Um extract was then administered orally (p.o.) for 14 days. In addition, A${\beta}_{25-35}$ toxicity on the hippocampus was assessed immunohistochemically, by staining for Tau, MAP2, TUNEL, and Bax, and by performing an in vitro study in PC12 cells. Results : Woo-Gui-Um extract had an effect to improve learning ability and memory score in the water maze task. Woo-Gui-Um extract had significant neuroprotective effects in vivo against oxidative damage and apoptotic cell death of hippocampal neurons caused by i.c.v. A${\beta}_{25-35}$. In addition, Woo-Gui-Um extract was found to have a protective effect on A${\beta}_{25-35}$-induced apoptosis, and to promote neurite outgrowth of nerve growth factor (NGF)-differentiated PC12 cells. Conclusions : These results suggest that Woo-Gui-Um extract reduces memory impairment and Alzheimer's dementia via an anti-apoptotic effect and by regulating Tau and MAP2 in the hippocampus.

• 한국식품영양과학회지
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• 제39권3호
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• pp.376-382
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• 2010

본 연구는 BF-7이 어린이의 장기 및 단기 기억을 현저하게 촉진시킴을 보여주었다. 기존 임상 시험 결과를 통해 입증된 바와 같이 천연 소재인 BF-7의 안전성을 고려할 때, BF-7은 어린이 장기 및 단기 기억력, 기억유지도 및 기억의 효과적 활용 등 전반적인 기억 수행 능력 향상에 도움을 주는 매우 안전하면서 효과가 탁월한 천연소재임을 확인하였다.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.818-833
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• 2021

To address the problems of low precision rate, insufficient feature extraction, and poor contextual ability in existing text sentiment analysis methods, a mixed model account of a CNN-BiLSTM-TE (convolutional neural network, bidirectional long short-term memory, and topic extraction) model was proposed. First, Chinese text data was converted into vectors through the method of transfer learning by Word2Vec. Second, local features were extracted by the CNN model. Then, contextual information was extracted by the BiLSTM neural network and the emotional tendency was obtained using softmax. Finally, topics were extracted by the term frequency-inverse document frequency and K-means. Compared with the CNN, BiLSTM, and gate recurrent unit (GRU) models, the CNN-BiLSTM-TE model's F1-score was higher than other models by 0.0147, 0.006, and 0.0052, respectively. Then compared with CNN-LSTM, LSTM-CNN, and BiLSTM-CNN models, the F1-score was higher by 0.0071, 0.0038, and 0.0049, respectively. Experimental results showed that the CNN-BiLSTM-TE model can effectively improve various indicators in application. Lastly, performed scalability verification through a takeaway dataset, which has great value in practical applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2993-3010
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• 2021

The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.