• Cross-Cultural Studies
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• v.44
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• pp.283-314
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• 2016

The purpose of this study is to explore the diversity of French learning materials and suggest a learning method to increase the efficiency of learning. In the first part, we explore the linguistic characteristics of the proverb. In the second part, we present the examples that can be utilized in actual learning. In terms of teaching methods, sharing a common cultural consciousness is important for language and communication between interlocutors. In view of this point, the proverb has an extremely important value in the linguistic dimension. It means that the proverb can serve as a very useful material for the comparison of the morphology and phonetics of French. The efficiency of learning can be increased if we can apply an adequate learning plan using proverbs in accordance to the learner's level and the learning contents.

• Language and Information
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• v.10 no.1
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• pp.71-91
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• 2006

The linguistic characteristics of a sign language provide an important clue for an automatic construction of its expression from a given natural language sentence. For such characterization, we focus on the identification of elided constituents, the mapping of property-changing information into spatio-temporal dimension, and the need for rearranging the order of component information for enhanced quality of delivery. We use our characterization to implement a system that converts sentences in Korean into corresponding expressions in the Korean Sign Language.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.356-361
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• 1990

This paper presents a new self organizing fuzzy linguistic control (SOFLC) strategy for application to an arc welding process control. The proposed SOFLC is based on on-line modification of the control rules according to the extent of deviation of the one step ahead predictive output of the process from the desired output. The Predictive output of the process is estimated by a fuzzy predictor which is updated from the input and output data of the process. The rule base of the fuzzy subsets describing the control rules is modified by the improving mechanism based on the hill climbing approach. Simulation results show that this proposed SOFLC improves the response of the process in presence of the variation of the process dynamic characteristics.

• MALSORI
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• no.25_26
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• pp.65-92
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• 1993

Not all linguistic units are of equal importance in the functioning of language. The present study aims to examine He functional load of phonemes in standard Korean, To achieve this goal, B analysed continuous texts selected from the textbooks of elementary school on a personal computer. The total number of syllables studied in this thesis is 101,637. The characteristics of the Korean syllable structures are as follows. 1) In a syllable head, /n/ occurs most frequently. 2) The frequencies of syllables with an onset are much higher than those with no onset ( 85% : 15% ), 3) In a syllable head, obstruents are preferred because their consonantal strength are great, (57%) 4) In a syllable nucleus, /a/ occurs most frequently. 5) The rate of occurrence of the monophthongs is 90.2%, and that of the diphthongs is 9.8%. Especially the three basic vowels(/i,a,u/) occur at the rate of 46.6%. 6) In a syllable coda, /n/ occurs most frequently. 7) The open syllables are favored (open syllable 68.7%, closed syllable 31.3%).

• Iberoamérica
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• v.16 no.2
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• pp.151-188
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• 2014

This work aims to describe pragmatic strategies and linguistic features of replies that occur in the comment section of online newspapers. The dominant media in this digital age is the Internet and its rapid development and expansion of use have contributed not only to the change of the form of production of journalistic texts, but also to the consumption of those texts. In the past, the news was transmitted in a unidirectional way but now readers of online newspapers do not remain passively reading the articles. They actively participate in the exchange of opinions with other readers. The individual consumption of journalistic texts has become a collective and social act. The purpose of the study is to investigate the communication intention of the users of comment sections and analyze the linguistic formulation of replies. We attempt to discover specific aspects of replies and responses for online newspaper articles, considering them as an independent type of Computer Mediated Communication (Internet Mediated Communication). Observing language attitudes appearing in the electronic environment and discovering the characteristics of the Spanish language on the Internet will allow us to contribute to understand the theoretical aspects related to the CMO better.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.95-113
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• 2024

Purpose: This study focused on the societal changes associated with the entry into an ultra-aged society and the increase in single-person households. The core objective of this research is to investigate how social intelligent robots can bring about positive changes in the lives of individuals in single-person households and how such changes influence user satisfaction and the intention to use these robots. Methods: The study employed a cross-sectional analysis using a structural equation model. A survey designed to assess the impact of social intelligent robots' characteristics, such as perceived encouragement, empathy, presence, appearance, and attachment, on user satisfaction and usage intentions was conducted. Data were collected from a total of 335 users and analyzed using the structural equation model. Results: In the characteristics of social intelligent robots for single-person households, it was found that empathy, presence, and attachment significantly influenced satisfaction, while perceived encouragement, empathy, and attachment significantly influenced usage intentions. The research results indicate differences between enhancing user satisfaction and increasing the intention to use social intelligent robots. The findings suggest the essential need for a user-centric approach in the design and development of social intelligent robots. Additionally, it was observed that emotional support plays a crucial role in users' experiences with social intelligent robots. Conclusion: This study verified the impact of social intelligent robots on satisfaction and usage intentions based on users' experiences. It examined the influence of linguistic, visual, and personal characteristics of robots on user experiences, providing insights into how technological and human aspects of social intelligent robots interact to shape user satisfaction and usage intentions. Consequently, the study confirmed that social intelligent robots can bring positive changes to human life, emphasizing the necessity for the advancement of robot technology in a human-centric direction.

• Journal of Fashion Business
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• v.19 no.5
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• pp.128-138
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• 2015

The purpose of this study is to explore the characteristics and recent trends of Korean herbal medicine cosmetics brand logos and to shed light on the identities of herbal medicine cosmetics in Korea. Ultimately this study aims to seek ways to develop strategic global brands distinguished from other brands, and providing the basic data for such development. In order to investigate the characteristics of brand logos, the researcher of this study chose 11 Korean Herbal Medicine Cosmetics Brands marketed today and collected information related to the brands from their websites. The visual characteristics of the logos currently used by Korean herbal medicine cosmetics can be summarized as follows. Most brand logos include marks consisting of Chinese letters written in calligraphy styles to represent the brand information of'Korean herbal medicine.' As for colors, most brands use mostly black and gold to present luxurious images, or convey strong impressions through stark contrast between black, red and white, hoping to distinguish themselves from other cosmetic products. An analysis of the linguistic characteristics of herbal medicine cosmetics in South Korea revealed that most brands use associative and freestanding brand names which suggest that the user's appearance will improve by using the products they represent. Using such names that convey oriental purity and mysterious meanings, trying to capture the deepest beauty with the best quality, the brands construct brand images that are luxurious and high-class. Most of the brands currently used by Korean herbal medicine cosmetics employ components that emphasize the functional aspect of Korean herbal medicine cosmetics. To secure the status of world-class brands, however, it is imperative to conduct research on brand logos capable of establishing identities distinguished from others.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.41-63
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• 2023

As the online e-commerce market growing, the need for a recommender system that can provide suitable products or services to customer is emerging. Recently, many studies using the sentiment score of online review have been proposed to improve the limitations of study on recommender systems that utilize only quantitative information. However, this methodology has limitation in extracting specific preference information related to customer within online reviews, making it difficult to improve recommendation performance. To address the limitation of previous studies, this study proposes a novel recommendation methodology that applies deep learning technique and uses various linguistic factors within online reviews to elaborately learn customer preferences. First, the interaction was learned nonlinearly using deep learning technique for the purpose to extract complex interactions between customer and product. And to effectively utilize online review, cognitive contents, affective contents, and linguistic style matching that have an important influence on customer's purchasing decisions among linguistic factors were used. To verify the proposed methodology, an experiment was conducted using online review data in Amazon.com, and the experimental results confirmed the superiority of the proposed model. This study contributed to the theoretical and methodological aspects of recommender system study by proposing a methodology that effectively utilizes characteristics of customer's preferences in online reviews.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.63-72
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• 2018

The human voice is one of the easiest methods for the information transmission between human beings. The characteristics of voice can vary from person to person and include the speed of speech, the form and function of the vocal organ, the pitch tone, speech habits, and gender. The human voice is a key element of human communication. In the days of the Fourth Industrial Revolution, voices are also a major means of communication between humans and humans, between humans and machines, machines and machines. And for that reason, people are trying to communicate their intentions to others clearly. And in the process, it contains various additional information along with the linguistic information. The Information such as emotional status, health status, part of trust, presence of a lie, change due to drinking, etc. These linguistic and non-linguistic information can be used as a device for evaluating the individual's credit worthiness by appearing in various parameters through voice analysis. Especially, it can be obtained by analyzing the relationship between the characteristics of the fundamental frequency(basic tonality) of the vocal cords, and the characteristics of the resonance frequency of the vocal track.In the previous research, the necessity of various methods of credit evaluation and the characteristic change of the voice according to the change of credit status were studied. In this study, we propose a personal credit discriminator by machine learning through parameters extracted through voice.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.9
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• pp.897-901
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• 2011

This paper presents a TS (Takagi-Sugeno) type FLC (Fuzzy Logic Controller) with only 3 rules. The choice of parameters of FLC is very difficult job on design FLC controller. Therefore, the choice of appropriate linguistic variable is an important part of the design of fuzzy controller. However, since fuzzy controller is nonlinear, it is difficult to analyze mathematically the affection of the linguistic variable. So this choice is depend on the expert's experience and trial and error method. In the design of the system, we use a variety of response characteristics like stability, rising time, overshoot, settling time, steady-state error. In particular, it is important for a stable system design to predict the steady-state error because the system's steady-state response of the system is related to the overall quality. In this paper, we propose the method to choose the consequence linear equation's parameter of T-S type FLC in the view of steady-state error. The parameters of consequence linear equations of FLC are tuned according to the system error that is the input of FLC. The full equation of T-S type FLC is presented and using this equation, the relation between output and parameters can represented. As well as the FLC parameters of consequence linear equations affect the stability of the system, it also affects the steady-state error. In this study, The system according to the parameter of consequence linear equations of FLC predict the steady-state error and the method to remove the system's steady-state error is proposed using the prediction error value. The simulation is carried out to determine the usefulness of the proposed method.