• Smart Media Journal
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• v.5 no.4
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• pp.49-56
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• 2016

Various sensor devices has been developed as the wireless Internet and IoT technology are widely used. Recently, open source hardware has evolved for providing various services in IoT environments. However, in comparison to the development of the open source hardware, the development of human resources is missing. In order to solve such a phenomenon, in this paper, we propose a software framework for the embedded software development in open source hardware. The proposed framework provides a fast and intuitive development environment by using the visual programming language and providing fast feedbacks to developers. In addition, we discuss the strengths and weaknesses of the proposed scheme based on the implement on a real board.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.68-74
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• 2023

The food industry has been hit hard since the first outbreak of COVID-19 in 2019. However, as of April 2022, social distancing has been resolved and the restaurant industry has gradually recovered, interest in restaurant start-ups is increasing. Therefore, in this paper, 'restaurant start-up' was cited as a key keyword through social media big data analysis using TexTom, and word frequency and cone analysis were conducted for big data analysis. The keyword collection period was selected from May 1, 2022, when social distancing due to COVID-19 was lifted, to May 23, 2023, and based on this, a plan to develop chatbot services for restaurant start-ups was proposed. This paper was prepared in consideration of what to consider when starting a restaurant and a chatbot service that allows prospective restaurant founders to receive information more conveniently. Based on these analysis results, we expected to contribute to the process of developing chatbots for prospective restaurant founders in the future

• Journal of The Korean Association For Science Education
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• v.37 no.3
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• pp.417-427
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• 2017

Media is the medium that impart information beyond time and space. They refer to characters or images that serve as means to convey information. From old media such as newspapers and television to new media such as the internet and smart phones, media has developed cumulatively with the development of technology. The goal of media education is to develop the understanding of the properties of media, the ability of critical interpretation of media and selective acceptance. Furthermore it is to cultivate the ability to express meaning creatively and communicate through media. I carried out 'the research of Korean classroom instruction models based on media' with Korean language and social studies education researchers from July 2016 to December 2016. This study is a fundamental study of the project. Based on 58 research papers published between 2006 and 2016, research trends and factors were extracted through literature studies related to media-based science learning. The Result has shown that the studies related to media-based science learning is on the rise, and more than half of all researchers studied about elementary school students. The studies were divided into research on students, research on teachers and pre-service teachers, research on smart devices or media contents, and research on the development of digital textbooks. Among the four variables, there were many researches related to students' cognitive and affective development, and the development and application of media contents.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.313-316
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• 2016

현행 수화방송서비스는 방송영상 화면위에 수화영상을 덧씌우는 방식으로 송출하기 때문에 수화영상의 크기가 작고 수화 영상을 제거하거나 크기 위치 조정이 불가능하여 청각장애인의 TV 시청에 불편함을 초래하고 있다. 청각장애인의 방송접근권 확대와 일반시청자의 TV 시청환경 제고를 위해 스마트 수화방송서비스는 방송 인터넷 융합 하이브리드 방식으로 방송영상과 수화영상을 방송망과 인터넷망으로 각각 송출하고 TV수신기가 두 영상의 동기화를 처리하고 앱을 통해 수화영상의 크기, 위치 조정 및 제거 서비스를 제공한다. 본 논문에서는 방송 인터넷 융합 하이브리드 방식인 스마트 수화방송서비스의 표준 기술 및 동기화 방식을 소개하고 스마트 수화방송 시험환경 및 동기화 지연시간 측정 결과를 소개한다.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1029-1035
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• 2019

In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate movie-based recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.13-22
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• 2024

There is a need for and positive aspects of article-based advertising, but as exaggerated and disguised information is delivered due to some indiscriminate 'article-based advertisements', readers have difficulty distinguishing between general articles and article-based advertisements, leading to a lot of misinterpretation and confusion of information. is doing Since readers will continue to acquire new information and apply this information at the right time and place to bring a lot of value, it is judged to be even more important to distinguish between accurate general articles and article-like advertisements. Therefore, as differentiated information between general articles and article-like advertisements is needed, as part of this, for readers who have difficulty identifying accurate information due to such indiscriminate article-like advertisements in Internet newspapers, this paper introduces IT and AI technologies. We attempted to present a method that can be solved in terms of a system that incorporates, and this method was designed to extract articleable advertisements using a knowledge-based natural language processing method that finds and refines advertising keywords and deep learning technology.

• Journal of Acupuncture Research
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• v.26 no.2
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• pp.189-199
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• 2009

Objectives : Despite the substantial amount of newspaper coverage related to complementary and alternative medicine on the internet in recent years, little is know about the quality of the health information. To evaluate health information of the newspaper articles on moxibustion available in Korea through Korean language search engines and Web sites. Methods : We searched 454 news stories about moxibustion between 1 January 2006 and 31 December 2008. Among them, 34 internet news coverage related to health information on moxibustion were selected and rated against eight categories by two individuals. Results : The inter-rater reliability of the two reviewers was assessed as 0.69, indicating a moderately high level of agreement. The overall rating score for 34 articles was 35.7${\pm}$17.2 for the statement criteria and 12.9${\pm}$17.0 for the satisfaction criteria. Overall, although they might be improving recently, the scores remain generally low. There was a statistically significant difference in the score of the newspaper coverage according to the type of evidence sources, including anecdotes. Conclusions : There is substantial variability in news reporting practices about moxibustion. It is urgently needed to enhance the information related to CAM including moxibustion through the news media in Korea.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.537-544
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• 2013

There has been many studies to explore what is the best multimedia tools for English learning by internet, but the students are still thirsty for the lack of practical and effective learning method which may lead them to stimulate their motivations to learn English with technological new media. The purpose of this study is to design Flash Animation as a new approach to learn language acquisition for those students who are learning English as a second language. This second is to show the validity for the introduction of Flash Animation into the English class. The third is to describe the effectiveness of the application of multimedia tools used in English communication such as java script programming and power point presentation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.292-295
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• 2006

As Chinese characters occupies more than 70% of words we currently use, the education of Chinese characters is becoming important day by day to accurately deliver the meaning of words in our language life. In recent, there are increasing concerns on writing Chinese characters correctly as well as reciting, books and Internet contents on Chinese character writing is emerging. However, currently available Internet media on the Chinese characters education only illuminates recitation and interpretation. Moreover, the writing part is merely provided in the form of paper by printing the characters, thus, writing materials are insufficient. In this paper, we propose a design and implementation of Web based Chinese characters writing system. Using the system, a user can write Chinese characters with mouse device. The learning progress is accordingly managed for the user. In addition, the proposed system can be used any place in where Internet is connected.