• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.234-238
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• 2023

미세 조정은 대부분의 연구에서 사전학습 모델을 위한 표준 기법으로 활용되고 있으나, 최근 초거대 모델의 등장과 환경 오염 등의 문제로 인해 더 효율적인 사전학습 모델 활용 방법이 요구되고 있다. 패턴 추출 학습은 사전학습 모델을 효율적으로 활용하기 위해 제안된 방법으로, 본 논문에서는 한국어 주장 탐지 및 입장 분류를 위해 패턴 추출 학습을 활용하는 모델을 구현하였다. 우리는 기존 미세 조정 방식 모델과의 비교 실험을 통해 본 논문에서 구현한 한국어 주장 탐지 및 입장 분류 모델이 사전학습 단계에서 학습한 모델의 내부 지식을 효과적으로 활용할 수 있음을 보였다.

• Cross-Cultural Studies
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• v.22
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• pp.223-277
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• 2011

Tan Yuanjie(譚元杰) of CHINA COSTUME ART OF PEKING OPERA("中國京劇服裝圖譜") is 'Foreword' attention from the bar 'Formalism'. A note is makeup system from ever performances here, 'what kind of adaptation must be a corresponding type of costume should be worn.' This stance to 'type of person's identity and faced the scene correlated' with the actual performance tradition plays out is going and, while here the rules to capture the opera's on the character of 'identity and the circumstances under clothing' is defined. This position discussed previously 'Formalism' in line with the will he perform, and looks to meet the elements of production. This basic stance is clean up, while 'Old Beijing Opera costumes costumes taxonomy largely' literary costume' and 'militant outfit' into two groups divided over throughout steamroll surgery, because surely need to have a more systematic classification. The classification system was established as 'Part 1. Mang, Part 2. Pi, Part 3. Xi, Part 4. Kao, Part 5. YI'. In addition to these classification systems, as well as the aforementioned 'object theory' Given the symbolic significance of the capacity to keep in mind is necessary. Costumes conduct, character, situation, atmosphere and so the transport of charged symbols here, a target symbol of the system is the projection of water. This costume is detrimental to the mall for the positionsay, but I kept in mind damwongeolyi internationalization of Chinese culture. when you see the view from the perspective of semiotic systems for the sign, that the theater is necessary to complement. In this paper, 'Yi(衣)' costume on the corresponding point of the target compared to the China Culture Department of Theatre and Folklore methodology ran off and sprinting was to lay the groundwork for research.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.115-115
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• 2000

A gait pattern classification method using electromyography(EMG) signal is presented. The gait pattern with four stages such as stance, heel-off, swing and heel-strike is analyzed and classified using feature parameters such as zero-crossing, integral absolute value and variance of the EMG signal. The EMG signal from Tibialis Anterior and Gastrocnemius muscles was obtained using the surface electrodes, and low-pass filtered at 10kHz. The filtered analog signal was sampled at every 0.5msec and converted to digital signal with 12-bit resolution. The obtained data is analyzed and classified in terms of feature parameters. Analysis results are given to show that the gait patterns classified by the proposed method are feasible.

• Journal of the Korean Society of Safety
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• v.7 no.3
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• pp.73-82
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• 1992

This paper was concerned with the risk evaluation of oxidizing substances by burning test method. The samples were prepared the heaped cone-shaped mixtures of solid oxidizing sub-stance with sawdust, and ignition of the sample was made on contact with heating wire inside the combution chamber that the temperature and humidity of atmosphere can be kept at $25^{\circ}C$ and 60% respectively. Accordingly, it were measured the combustivity effect of mixing ratio and amount of sample weight on the burning rate. As a result of burning test of these samples, it could be noticed that the case when the sawdust has so and 30 wt.% in the mixing ratio shows effective combustivity, and as the amount of sample weight was increasing, It showed more rapid burning time. So the average burning time could be obtained by considering the weighting factors to the parameters of the mixing ratio and the amount of sample weight. Finally, it was compared with the effects of cation and anion of oxidizing substances and also applied analytically to the classification and evaluation of oxidizing sub-stances as dangerous goods.

• Journal of Korean Medical classics
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• v.27 no.4
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• pp.181-198
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• 2014

Objectives : This study was to analyze definitions of herbal medicinal preparations, crude drug preparations, and new drugs from natural products in the relevant laws and regulations, understand the related problems, and propose directions for improvement. Methods : I analyzed the legal definitions in respect of herbal medicinal preparations, crude drug preparations, and new drugs from natural products in relevant laws and regulations since 1945, explained the problems, and suggested the solution-considering the academic stance of Traditional Korean Medicine and the dualistic medical and pharmaceutical system. Results : Regarding the current laws and regulations that are relevant to herbal medicinal preparations, we should 1) clarify the boundaries between the duty of physicians and that of pharmacists, 2) limit the principles of Korean Medicine as well as the contents of the related textbooks, 3) find a way to protect the intellectual property rights for herbal medicinal preparations, and 4) establish a separate standard for drug classification regarding herbal medicinal preparations. In case of crude drug preparations, we should 1) clarify the meaning and limitations of the phrase, "the point of view of Western medicine," and 2) establish a classification standard for drugs that are used in Korean Medicine and clarify the boundaries between herbal drug preparations and crude drug preparations. Furthermore, laws and regulations apropos of new drugs from natural products do not actually fit the concept of "new drug," and due to subordinate laws, a supplement to a new drug submission is contradictorily misclassified as a new drug from natural products. Conclusions : The problems of legal definitions of herbal medicinal preparations, crude drug preparations, and new drugs from natural products have emerged in the process of giving approval to drugs that are made of herbs and natural products under the dualistic medical and pharmaceutical System. Laws and regulations that differentiate the process of approving herbs that are used in Korean Medicine and the others should be established.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.227-231
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• 2024

This study purports to examine the potential effects of welfare attitudes of Korean people upon their political orientation. The 17^th Korea Welfare Panel Data(KWPD) in 2022 are used for this purpose. Independent variable include sex, age, education, interest in politics, and employment status. Discriminant analysis show several results. First and foremost, pre-established discriminant function works well for classification of respondents' liberal vs conservative stance. Secondly, except gender and dummy variable for temporary employed, all independent variables contribute significantly for the classification at a given significance level. . Finally, welfare attitudes of respondents', measured by universalism vs selectivism and the attitudes upon increasing tax for welfare expenditures are found to be significant and relatively big impacts upon dependent variable, compard to other variables in the model. The nature of causal relationship between welfare attitudes and political orientation remains for further study.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.274-281
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• 2020

N-gram analysis casts a new look at the n-word cluster in use different from the previously known idioms. It analyzes a corpus of English textbooks for frequently occurring n consecutive words mechanically using a concordance software, which is different from the previously known idioms. The current paper aims at extracting and comparing 4-gram words clusters between South Korean high school English textbooks and its North Korean counterpart. The classification criteria includes number of tokens and types between the two across oral and written languages in the textbooks. The criteria also use the grammatical categories and functional categories to classify and compare the 4-gram words clusters. The grammatical categories include noun phrases, verb phrases, prepositional phrases, partial clauses and others. The functional categories include deictic function, text organizers, stance and others. The findings are: South Korean high school English textbook contains more tokens and types in both oral and written languages. Verb phrase and partial clause 4-grams are grammatically most frequently encountered categories across both South and North Korean high school English textbooks. Stance is most dominant functional category in both South and North Korean English textbooks.

• The Journal of Korean Physical Therapy
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• v.27 no.5
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• pp.311-314
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• 2015

Purpose: This study attempted to determine intra-rater reliability and inter-rater reliability for measurement of foot form using the FPI-6 (Foot Posture Index) in patients with hemiplegia caused by stroke. Methods: Twenty two stroke patients were recruited into the research and their foot posture was evaluated using the FPI. Two raters assessed 6 items sequentially in accordance with the FPI-6 manual. This procedure involved asking the subject to take several steps in-place, prior to settling into a comfortable stance position with double limb support. Subjects were instructed to stand still with their arms by their sides and look straight ahead. FPI-6 values ranged from -2 to +2 for each of the six criteria and from -12 to +12 for the total score, indicating a position for each foot either along the supinated (negative score) to pronated (more than +6) continuum of foot posture. Results: The results showed that intra-rater reliability and inter-rater reliability for a total FPI-6 score was high: 0.807-0.888. An almost perfect agreement between the two raters was identified in the foot's morphological classification (Somer's D=0.712; p<0.05). Intra-percentage agreement was high (88.6%). Conclusion: The FPI-6 is a quick, simple, and reliable clinical tool with demonstrated good to excellent intra-rater reliability and good inter-rater reliability when used in assessment of the stroke patient's foot.

• Language and Information
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• v.18 no.1
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• pp.33-52
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• 2014

This paper proposes a unified structural account of some instances of the English Modals and Semi-auxiliaries. The classification and the syntactic/structural description of the English Modal auxiliary verbs and verb-related elements have long been the center for many proposals in the history of generative syntax. According to van Gelderen (1993) and Lightfoot (2002), it was sometime around 1380 that the Tense-node (T) appeared in the phrasal structures of the English language, and the T-node is under which the English Modal auxiliaries occupy. Closely related is the existing evidence that English Modals were used as main verbs up to the early sixteenth century (Lightfoot 1991, Han 2000). This paper argues for a bi-clausal approach to English Modal auxiliaries with the infinitival particle 'to' such as 'ought to' 'used to' and 'dare (to)' 'need (to)', etc. and Semi-auxiliaries including 'be to' and 'have to'. More specifically, 'ought' in 'ought to' constructions, for instance, undergoes V-to-T movement within the matrix clause, just like 'HAVEAux' and all instances of 'BE', whereas 'to' occupies the T position of the embedded complement clause. By proposing the bi-clausal account, Radford's (2004, 2009) problems can be solved. Further, the historical motivation for the account takes a stance along with Norde (2009) and Brinton & Traugott (2005) in that Radford's (2004, 2009) syncretization of the two positions of the infinitival particle 'to' is no different from the 'boundary loss' in the process of Grammariticalization. This line of argument supports Krug's (2011), and in turn Bolinger's(1980) generalization on Auxiliaryhood, while providing a novel insight into Head movement of V-to-T in Present Day English.