• Phonetics and Speech Sciences
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• v.3 no.1
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• pp.77-83
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• 2011

The present study reports the results of an acoustic study of nasal assimilation at word boundaries in Chinese-Korean interlanguage. Twelve Chinese learners of Korean and four Korean native speakers recorded obstruent#nasal sequences in noun compounds and verb phrases, and their different production patterns were examined in detail. While nasalization of the word-final obstruents occurred only in 11.7% of the obstruent#nasal sequences for the Chinese learners, the Korean native speakers showed complete nasalization of those sequences. However, there was small, but consistent effect of learning on the production of external sandhi in L2, because there were shown to be differences in the rate of nasalization between the two proficiency groups of Chinese participants. On average, the intermediate level learners nasalized the target stops at the rate of 16%, and the beginning level learners showed the 7% nasalization rate. In addition, it was found that the context difference such as noun compounds versus verb phrases does not influence the nasalization pattern across word boundaries.

• Journal of Power System Engineering
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• v.2 no.1
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• pp.52-58
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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-objective 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 algorithm is identified by using multi-peak function which have many local optimums and identification of the flexural rigidity for wire rope model.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.133-141
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• 2023

This work take deeper analysis of Adaptive Moment Estimation (Adam) and Adam with Weight Decay (AdamW) implementation in real world text classification problem (DGA Malware Detection). AdamW is introduced by decoupling weight decay from L2 regularization and implemented as improved optimizer. This work introduces a novel implementation of AdamW variant as AdamW+ by further simplifying weight decay implementation in AdamW. DGA malware detection LSTM models results for Adam, AdamW and AdamW+ are evaluated on various DGA families/ groups as multiclass text classification. Proposed AdamW+ optimizer results has shown improvement in all standard performance metrics over Adam and AdamW. Analysis of outcome has shown that novel optimizer has outperformed both Adam and AdamW text classification based problems.

• Journal of KIISE
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• v.44 no.5
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• pp.496-502
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• 2017

Pointer Networks is a deep-learning model for the attention-mechanism outputting of a list of elements that corresponds to the input sequence and is based on a recurrent neural network (RNN). The coreference resolution for pronouns is the natural language processing (NLP) task that defines a single entity to find the antecedents that correspond to the pronouns in a document. In this paper, a pronoun coreference-resolution method that finds the relation between the antecedents and the pronouns using the Pointer Networks is proposed; furthermore, the input methods of the Pointer Networks-that is, the chaining order between the words in an entity-are proposed. From among the methods that are proposed in this paper, the chaining order Coref2 showed the best performance with an F1 of MUC 81.40 %. The method showed performances that are 31.00 % and 19.28 % better than the rule-based (50.40 %) and statistics-based (62.12 %) coreference resolution systems, respectively, for the Korean pronouns.

• Journal of Korean Biological Nursing Science
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• v.22 no.2
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• pp.111-118
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• 2020

Purpose: The purpose of this study was to understand the impact of long- and short-term energy drinks on anxiety-like, depressionlike, and cognitive behavior in adolescent rats. Methods: Adolescent rats (age six weeks) were randomly classified into a control group (CON), a long-term administration group (LT), and a short-term administration group (ST). The LT group was orally administered 1.5 mL/100 g (body weight) of energy drink twice daily for 14 days, the ST group was orally administered for one day, and the control group applied the same amount of normal saline. Later, an open-field test, a forced swim test, novel object recognition test, and an 8-arm radial maze test was conducted to assess the rats' anxiety, depression, and cognitive function. Results: There were different effects in the long- and short-term groups of energy drink administration. In the LT group, anxiety- and depressive-like behavior increased because of increased movement in the side corner and decrease of immobility time. Also, the time to explore novel objects decreased, and the number of correct responses was reduced, indicating a learning and memory function disorder. However, the ST group was not different from the control group. Conclusion: These results indicate that long-term consumption of energy drinks can increase anxiety-like, depression-like behavior, and this can lead to decrease in learning and memory functions. Thus, nurse and health care providers should understand the impact of energy drink consumption in adolescence to provide appropriate practices and education.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.5-26
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• 2023

Curriculum is essential for primary and secondary education. The development of the 2022 revised curriculum, which is Korea's national level curriculum has been completed. Nevertheless, the library and information life, which are curriculums for information literacy instruction remain in the structure of the 2009 curriculum. In this study, I analyze the structure and contents of the curriculum for information utilization education in Pennsylvania, USA, identify trends in information literacy instruction, and present the direction of revision of library and information life. The Pennsylvania curriculum for information literacy instruction has an overall structure consisting of long-term transfer goals, big ideas(inquire, include, collaborate, curate, explore, engage), concepts, competencies, and essential questions. In addition, there is a detailed structure consisting of stage l(desired results), stage 2(assessment evidence of learning) and stage (learning plan).

• Journal of Korean Home Economics Education Association
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• v.23 no.1
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• pp.87-111
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• 2011

The purpose of this study was to develop and evaluate practical problem-based Home Economics lesson plans applying to the multiple intelligence teaching learning strategy, focused on the unit 'Nutrition & Meals' of middle school Home Economics subject matter. To achieve this purpose, the lesson plans were developed and evaluated from the 72 middle school students in Chongju after implementing the instruction. The data from the questionnaire were analyzed by SPSS/WIN 12.0 and content analysis. The results were as follows: First, the objectives of practical problem-based 'Nutrition & Meals' Instruction using multiple intelligence teaching strategy were to understand the importance of nutrition and health in an adolescent period and to develop good eating habits. The Practical Problem was 'What should I do for good eating habits?' and the learning contents were healthy life, the kinds and functions of nutriments, food pyramid and a food guide. The learning activities were progressed by various types of teaching and learning methods including 8 types of multiple intelligence teaching strategy. The lesson plans were developed according to the process of practical problem solving model. 6 periods of lesson plans and worksheets were developed. Second, the practical problem-based instruction using multiple intelligence teaching-learning strategy were evaluated to increase students' positive learning attitudes, motivation, and good eating habits.

• The Korean Journal of Food And Nutrition
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• v.36 no.6
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• pp.436-444
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• 2023

To produce an intestinal immunomodulatory beverage containing Centella asiatica extract (CAE), three types of CAE-added beverage prototypes were prepared, and their immunomodulatory activities and marker compounds were analyzed. As a result of the cytotoxicity assessment, all the beverages did not show significant toxicity compared to the control group. Next, the immunomodulatory activities of the beverage prototype were evaluated using the inflammatory model of IL-1β-induced intestinal epithelial cell line. All the samples significantly reduced the production of IL-6, IL-8, and MCP-1 in a CAE concentration-dependent manner. In addition, CAE-added beverages inhibited NO, IL-6, and IL-12 production in LPS-induced RAW 264.7 cells. When the major triterpenoids, as marker compounds for the production of CAE-added beverages, were analyzed by HPLC-DAD, only asiaticoside was detected beyond the limit of quantification, while madecassoside, madecassic acid, and asiatic acid were not detected. The amounts of asiaticoside in CAE-added beverage prototypes were confirmed in No. 1 (19.39 ㎍/mL), 2 (19.25 ㎍/mL), and 3 (19.98 ㎍/mL). In conclusion, the results of this study suggested that CAE-added beverage prototypes induced immunomodulatory effects in the intestinal inflammatory cell line models and asiaticoside could be used as a marker compound for CAE-added beverage production.

• Journal of Adhesion and Interface
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• v.3 no.1
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• pp.37-42
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• 2002

Adhesives are becoming increasingly accepted for advanced engineering/boding tasks. Therefore the understanding of the basic principles and the benefits of elastic bonding and structural bonding respectively is of utmost importance. Structural bonding means adhesive performance in load-bearing environments. Furthermore. the time to achieve handling strength has an impact on the economics of an assembly line. The paper gives briefly a summary about the fundamentals of elastic bonding and discusses different adhesive systems in the context of handling strength. Hereby the focus lies on the Warm Melt Technology, and its potential is compared to standard adhesives (l-part, 2-part and Booster Technology, a special 2-C system). Examples illustrate their economical benefits. Main Points : ${\bullet}$ The basic principles and benefits of elastic bonding ${\bullet}$ Warm-melt Technology in comparison with standard adhesives ${\bullet}$ Handling strength an economic issue ${\bullet}$ Combination with Booster-Technology, a special 2-C PUR system ${\bullet}$ Presentation of real world applications Learning Objectives: ${\bullet}$ Fundamentals of elastic bonding ${\bullet}$ Warm-melt Technology: correlation between chain length and cristallinity ${\bullet}$ Handling strength and curing speed of various systems in comparison ${\bullet}$ Real world applications illustrate the potential of the Warm-melt Technology.

• Smart Media Journal
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• v.8 no.2
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• pp.58-65
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• 2019

Automatic text summarization is a process of shortening a text document by either extraction or abstraction. The abstraction approach inspired by deep learning methods scaling to a large amount of document is applied in recent work. Abstractive text summarization involves utilizing pre-generated word embedding information. Low-frequent but salient words such as terminologies are seldom included to dictionaries, that are so called, out-of-vocabulary(OOV) problems. OOV deteriorates the performance of Encoder-Decoder model in neural network. In order to address OOV words in abstractive text summarization, we propose a copy mechanism to facilitate copying new words in the target document and generating summary sentences. Different from the previous studies, the proposed approach combines accurate pointing information and selective copy mechanism based on bidirectional RNN and bidirectional LSTM. In addition, neural network gate model to estimate the generation probability and the loss function to optimize the entire abstraction model has been applied. The dataset has been constructed from the collection of abstractions and titles of journal articles. Experimental results demonstrate that both ROUGE-1 (based on word recall) and ROUGE-L (employed longest common subsequence) of the proposed Encoding-Decoding model have been improved to 47.01 and 29.55, respectively.