• Journal of Korean language education
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• v.29 no.4
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• pp.113-135
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• 2018

This study is designed to find out how the recognition of the listener's role affects listening in Korean language learning. We assumed that recognizing the role of the listener can focus on important information. To confirm our assumption, we conducted an experiment on 37 Koreans and 32 KSLs. Koreans and KSLs were divided into two groups depending on whether or not they recognize the role of the listener. The results showed that Koreans and KSLs who recognized the role of the listener were better at listening to important information, and Koreans who recognized the role of the listener were better at judging important information. This study suggests that the role of listeners as context apply to Korean listening education.

• Cross-Cultural Studies
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• v.34
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• pp.237-257
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• 2014

Paragraph of the early 20th century, China has begun to blow hot air creative realism. Chinese intellectuals at the time of national crisis, China is facing a national transformed into a modern nation must be performed in order to challenge literary realism to recognize the most suitable literary thoughts. But realism is screwed literary thoughts introduced from the West. Shen Yan Bing in 1922 revolves around a discussion of realism and naturalism in France started to spread all over Europe for historical realism and creative learning originates from the well came from the intended operating suggesting. In addition, writers of Wenxueyanjiuhui is influenced by the Russian realism directly. In this paper, the realism of the French and Russian for the study and development of Chinese accept.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.13-19
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• 2019

In this paper, we propose and implement VVVV base interactive advertisement. It has now expanded from the traditional marketing methods of television, radio, newspapers and magazines to become a digital marketing era. However, it is still in the form of infusion-type advertising, similar to traditional marketing techniques. For more innovative we put story and design elements into digital technology. Consumers will feel fresh excitement as they experience advertising. Emotional stories and image will also provide an element for customers to talk to each other. The propose advertisement is design to recognize the movement of people in the corridor by using Arduino and ultrasonic sensor installed in the passageway where many people pass. Arduino and VVVV takes people's movements for a values. This values change the advertising image. In this case, we applied the mask in VVVV so that the image to be reproduced and the image of the background role are displayed when the person passes the sensor. By realizing this interactive advertisement, the objective is to increase the buyer's purchasing power by approaching the buyer more effectively than the existing advertisement.

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.424-431
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• 2019

In this paper, we propose a real-time hand gesture recognition algorithm to eliminate the inconvenience of using hand controllers in VR applications. The user's 3D hand coordinate information is detected by leap motion sensor and then the coordinates are generated into two dimensional image. We classify hand gestures in real-time by learning the imaged 3D hand coordinate information through SSD(Single Shot multibox Detector) model which is one of CNN(Convolutional Neural Networks) models. We propose to use all 3 channels rather than only one channel. A sliding window technique is also proposed to recognize the gesture in real time when the user actually makes a gesture. An experiment was conducted to measure the recognition rate and learning performance of the proposed model. Our proposed model showed 99.88% recognition accuracy and showed higher usability than the existing algorithm.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.185-192
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• 2019

In the case of a hearing impaired person using sign language, there are many difficulties in communicating with a normal person who does not understand sign language. The sign language translation system is a system that enables communication between the hearing impaired person using sign language and the normal person who does not understand sign language in this situation. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, the existing sign language translation system does not solve such difficulties due to some problems. Existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. Therefore, in this paper, a sign language translation system using an artificial neural network is devised to overcome the problems of the existing system.

• Journal of Korean Clinical Health Science
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• v.6 no.2
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• pp.1097-1105
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• 2018

Purpose: Loneliness is an extremely subjective experience that is influenced by life experiences and circumstances. This study attempted to provide basic data for the development of nursing intervention strategies to understand the concept of loneliness and to reduce loneliness on various topics. Methods: The research analysis method is based on the framework of concept analysis proposed by Walker and Avant (1988). Results: The results of this study are as follows: 1) Self-alienation 2) Isolation of human beings 3) Psychological damage reaction 4) Pain 5) Loneliness is the loss of a comfortable "frame". The prerequisites can be divided into personal characteristics and situational characteristics. Empirical criteria include intimate others, lack of social relationships or problems, family and friendship, belonging, recognition or expression of loneliness, emotional state changes and changes in health behavior, and physical symptoms. Conclusions: Loneliness is an important indicator of well-being and a cause of physical and mental illnesses, so nurses facing various subjects should be able to recognize the signs and symptoms of loneliness. By promoting and sustaining their interest, they should be able to enjoy lonely people.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1639-1658
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• 2019

Named entity recognition (NER) is an important technique for improving the performance of data mining and big data analytics. In previous studies, NER systems have been employed to identify named-entities using statistical methods based on prior information or linguistic features; however, such methods are limited in that they are unable to recognize unregistered or unlearned objects. In this paper, a method is proposed to extract objects, such as technologies, theories, or person names, by analyzing the collocation relationship between certain words that simultaneously appear around specific words in the abstracts of academic journals. The method is executed as follows. First, the data is preprocessed using data cleaning and sentence detection to separate the text into single sentences. Then, part-of-speech (POS) tagging is applied to the individual sentences. After this, the appearance and collocation information of the other POS tags is analyzed, excluding the entity candidates, such as nouns. Finally, an entity recognition model is created based on analyzing and classifying the information in the sentences.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1996-2011
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• 2021

To understand a trend is to explore the intricate process of how something or a particular situation is constantly changing or developing in a certain direction. This exploration is about observing and describing an unknown field of knowledge, not testing theories or models with a preconceived hypothesis. The purpose is to gain knowledge we did not expect and to recognize the associations among the elements that were suspected or not. This generally requires examining a massive amount of data to find information that could be transformed into meaningful knowledge. That is, looking through the lens of big-data analytics with an inductive reasoning approach will help expand our understanding of the complex nature of a trend. The current study explored the trend of well-being in South Korea using big-data analytic techniques to discover hidden search patterns, associative rules, and keyword signals. Thereafter, a theory was developed based on inductive reasoning - namely the hook, upward push, and downward pull to elucidate a holistic picture of how big-data implications alongside social phenomena may have influenced the well-being trend.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.50-55
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• 2021

In this paper, we proposed a technique for hiding the double-encrypted confidential data in the image using the pixel value of the image and the spatial encryption technique. The proposed technique inserts encrypted confidential data into the LSB of an image pixel in order to maintain high image quality. The stego-image generated by hiding the encrypted confidential data has very good quality and is visually indistinguishable from the original cover image, so that it is impossible to recognize whether the confidential data is hidden in the stego-image. It is possible to extract the original confidential data from the stego-image without loss. By conducting an experiment on the proposed technique, it was confirmed that the proposed technique is an effective technique for the practical application of data hiding. The proposed technique can be used in applications such as military and intellectual property protection that require high security.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.116-121
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• 2022

In the environment in which business is conducted, all companies will most likely have competitors, but of equal importance to the relationship between a company and its competitors is the existence of other entities that can influence the market at any time. This entity could be an emerging company that develops a new methodology rendering current approaches obsolete, or it could be a diplomatic circumstance with another country. It is critical to develop corporate strategies and economic policies to consider the possibility that such third party effects may continue to occur in the future. It is essential to move away from focusing only on bilateral relationships, and to thoroughly examine the third one and prepare countermeasures. This contribution is expected to be expanded into "The Third Party Economics" that explores considerations that have remained outside of contemporary discussions. The author proposes that all economic agents should deeply recognize not only competitors but also the existence of a third party as another axis.