• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.147-152
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• 2015

Eco-friendly or green is a key word which we use in our life. There are examples such as eco-friendly laundry detergent and agricultural products or green car and home, Due to the indiscriminate development, it was caused severe environmental pollution. Green IT is a necessary technology to solve the energy and environmental problems and to increase the productivity of corporations. Therefore, we studied contents related with green IT. The history for green IT has changed from 'Green of IT' to 'IT for Green'. Studies for 'IT for Green' progress extensively on today. In this paper, we described a transition progress and characteristics of green IT. Lastly, we analyzed smart work in the examples of the top.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.90-97
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• 2020

Recently, with the growth of mixed reality industrial infrastructure, relevant convergence research has been proposed. For real-time mixed reality services such as remote video conferencing, the research on real-time acquisition-process-transfer methods is required. This paper aims to implement an AR remote rendering method of volumetric 3D video data. We have proposed and implemented two modules; one, the parsing module of the volumetric 3D video to a game engine, and two, the server rendering module. The result of the experiment showed that the volumetric 3D video sequence data of about 15 MB was compressed by 6-7%. The remote module was streamed at 27 fps at a 1200 by 1200 resolution. The results of this paper are expected to be applied to an AR cloud service.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.233-240
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• 2015

In this paper, we present an algorithm that estimates the speed of a moving object only using its sound information. In general, the speed gun projects the incident light onto a moving object and measures the frequency variation of the scattered light. Then the speed is measured by this frequency difference. In our study, instead of light information, we measure the speed by sound frequency difference when the object is coming and moving away. In our experiments on the speed measurement, on average the error of 6.08% was obtained. Utilizing this algorithm for smart device, we can measure the speed of a moving object without sensor that measures the frequency of the light.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.168-174
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• 2023

The purpose of this paper is to analyze entrepreneurship and to find out the impact of CEOs in the restaurant industry on corporate performance when they have entrepreneurship. Entrepreneurs need entrepreneurship to take risks and jump into the market to generate profits. Entrepreneurship is not limited to the abilities or resources held, but it is not limited to the ability or resources held, and entrepreneurship to act means the spirit to take uncertainty and preempt opportunities through innovative activities [1]. In this study, the CEO's entrepreneurship was set as an independent variable and corporate performance as a dependent variable. By applying and analyzing how the CEO's entrepreneurship affects corporate performance in the restaurant industry, the importance of entrepreneurship in the restaurant industry and the impact relationship on corporate performance are analyzed. To this end, 100 CEOs working in the restaurant industry will be surveyed using the Likert 5-point scale[2]. And an empirical analysis will be conducted through the SPSS program[3]. Entrepreneurship is a spirit that can take risks and seize opportunities through bold challenges to generate profits. Therefore, it has been confirmed that it affects corporate performance as a key factor for improving corporate performance, and from related studies, the entrepreneurship of the CEO of the restaurant industry is expected to have a positive (+) effect on corporate performance.

• 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

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.108-113
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• 2024

The purpose of this study is to analyze user perceptions of tourism platforms through big data. Data were collected from Naver, Daum, and Google as big data analysis channels. Using semantic network analysis with the keyword 'tourism platform,' a total of 29,265 words were collected. The collection period was set for two years, from August 31, 2021, to August 31, 2023. Keywords were analyzed for connected networks using TexTom and Ucinet programs for social network analysis. Keywords perceived by tourism platform users include 'travel,' 'diverse,' 'online,' 'service,' 'tourists,' 'reservation,' 'provision,' and 'region.' CONCOR analysis revealed four groups: 'platform information,' 'tourism information and products,' 'activation strategies for tourism platforms,' and 'tourism destination market.' This study aims to expand and activate services that meet the needs and preferences of users in the tourism field, as well as platforms tailored to the changing market, based on user perception, current status, and trend data on tourism platforms.

• ETRI Journal
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• v.44 no.2
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• pp.179-182
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• 2022

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.175-181
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• 2017

The purpose of this study is to investigate what factors buyers buy in smart band purchasing. Especially, The study was conducted the perception of smart bands, focusing on personal healthcare, which is one of the biggest concern of today's people, and investigating the needs of users. SmartBand is the product with the highest market share in the wearable device market. It is an indicator of how much modern people are interested in their healthcare. Therefore, this study investigates non-users who are not currently using smart bands, and what factors to consider when buying smart bands. As a result, it was found that the design of the product and the hardware performance are more important than the smart band's personal health care function in purchasing the smart band, and fundamentally, the smart band itself was not needed. Especially, people aged 20-30 years have been burdened with using smart bands continuously.