• The Journal of Korea Robotics Society
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• v.17 no.2
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• pp.142-151
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• 2022

With the advent of the 4th industrial revolution, autonomous driving technology is being commercialized in various industries. However, research on autonomous driving so far has focused on platforms with wheel-type platform. Research on a tracked platform is at a relatively inadequate step. Since the tracked platform has a different driving and steering method from the wheel-type platform, the existing research cannot be applied as it is. Therefore, a path-tracking algorithm suitable for a tracked platform is required. In this paper, we studied a path-tracking algorithm for a tracked platform based on a GPS sensor. The existing Pure Pursuit algorithm was applied in consideration of the characteristics of the tracked platform. And to compensate for "Cutting Corner", which is a disadvantage of the existing Pure Pursuit algorithm, an algorithm that changes the LAD according to the curvature of the path was developed. In the existing pure pursuit algorithm that used a tracked platform to drive a path including a right-angle turn, the RMS path error in the straight section was 0.1034 m and the RMS error in the turning section was measured to be 0.2787 m. On the other hand, in the variable LAD algorithm, the RMS path error in the straight section was 0.0987 m, and the RMS path error in the turning section was measured to be 0.1396 m. In the turning section, the RMS path error was reduced by 48.8971%. The validity of the algorithm was verified by measuring the path error by tracking the path using a tracked robot platform.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.333-337
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• 2021

Companion animals are physically, mentally, and socially beneficial to humans, giving us great comfort in living in the Corona19 (COVID-19) era. It is also an era of the Fourth Industrial Revolution, featuring the convergence of information and communication technology. Korea, which is facing a super-aged society, has the highest suicide rate among OECD countries, and companion animals that are effective in emotional stability can be the answer. This study is about companion animals that are effective in stabilizing the emotions of the elderly, one of the major problems in the Republic of Korea, which is about to solve in a super-aged society with more than 20 percent of the elderly aged 65 or older, needs to solve. The impact of knowledge of raising companion animals on the satisfaction level of the elderly was investigated through the management and awareness of infectious diseases. Although the level of care of companion animals had a very significant (p<0.001) effect on the satisfaction of the companion animals, the recognition of infectious diseases has no statistical significance (p>0.05). Raising companion animals with knowledge of rearing increases the satisfaction level and can lead to a happier life. While personal learning is important, it is also believed that supporting education will be necessary as a policy consideration.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.243-255
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• 2020

The purpose of this study is to present the factors that affect business model and product innovation on the enterprise performance of the mobile ecosystem, and to confirm the results of whether they have an effect. To this end, through prior research, business model factors and product innovation factors were defined in the mobile ecosystem that was the mother of the 4th industry, and a hypothesis that each factor will affect corporate performance was established. Through the exploratory surveys and interviews, the value proposition of the business model proved to have a positive (+) effect on the financial and non-disaster performance of the company, and the innovation was proved to have a positive (+) effect on the non-financial performance of the company. It was analyzed that the price competitiveness of product innovation had a positive (+) effect on the financial factors of a company, and the initial market entry had a positive (+) effect on the non-financial factors. With this study, we propose the criteria for reviewing the performance of companies that are rapidly competing in the 4th industrial revolution in terms of business model and product innovation.

• Journal of Climate Change Research
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• v.6 no.2
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• pp.95-104
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• 2015

To discuss whether we have credible estimations about historical surface temperature evolution since industrial revolution or not, present study investigates consistencies and differences of averaged surface air temperature since 1900 between the multiple data sources: Hadley Center Climate Research Unit (HadCRU4) surface air temperature data, ECMWF 20 Century Reanalysis data (ERA20CR), and NCEP 20 Century Reanalysis data (NCEP20CR). Averaged surface temperatures are obtained for the global, polar (90S~60S, 60N~0N), midlatitude (60S~30S, 30N~60N), tropical (30S~30N) region, separately. From the analysis, we show that: 1) spatio-temporal inhomogenity and scarcity of HadCRU4 data are not major obstacles in the reliable estimation of global surface air temperature. 2) Globally averaged temperature variability is largely contributed by those of tropical and midlatitude, which occupy more than 70% of earth surface in area. 3) Both data show consistent temperature variability in tropical region. 4) ERA20CR does not capture warm period over Arctic region in early 1900s, which is obvious feature in HadCRU4 data. Discrepancies among datasets suggest that high-level caution is needed especially in the interpretation of large Arctic warming in the early 1900s, which is often regarded as a natural variability in the Arctic region.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.127-137
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• 2018

As the next generation technology, leading 4th industrial revolution has been progressed, the goods and services converged by the technology are being released in a market. The smart appliances among them attracts users' attentions as a key promising industry. Thus, this study investigates the factors that influence switching intention to smart appliances based on Push-Pull-Mooring framework. We collected 217 survey responses and formed structural equation modeling with AMOS 22.0. The results show that functional deprivation, money deprivation, alternative attractiveness had an effect on the switching intention to smart appliances. In addition, low switching cost is related to the relationship between external variables and switching intention. The results expect to provide useful information to the smart appliance-related companies.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.177-188
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• 2020

In the digital world, creative industries such as music, movies, and drama have been the most impacted by digital transformation. As these contents were converted to a digital format of 0s and 1s, the business model changed and so did the rules of competition in the market. Apple, Spotify, and Netflix were quick to ride the digital transformation wave to become market leaders in the creative industry. This study reviews case studies in the creative industry to grasp the important factors necessary for market restructuring using digital technology. It was found that companies that set visions, platform, and open innovation as business strategies were able to achieve critical mass and become market leaders. These three elements are commonly found in the contents industry. On the other hand, companies that did not embrace digital innovation have become victims of digital darwinism. By analysing the experience of digital product innovation through case studies in the creative industry, we can derive implications for digital transformation in the 4th industrial revolution.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.217-224
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• 2021

Based on the hyper-connectivity of the 4th Industrial Revolution, the paradigm shifts to the sharing economy. Didichuxing has already dominated the platform and is expanding its service to the TaaS 3.0 mobility industry. This paper aimed to suggest the direction of the domestic car-sharing industry and service improvement plan by analyzing Didichuxing. Korea is being cut off from the car-sharing industry, due to conflicts with existing industries and high regulations. It is necessary to balance the protection of existing industries and fostering new industries in the direction of negative regulations. In the future, it is also necessary to study how various fields of the sharing economy will convergence and develop.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.83-88
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• 2022

As the number of students participating in nail art with great interest rises, it has become crucial to form instructor-student ties through offline interactions and establish relationships with education through media under the Fourth Industrial Revolution. Therefore, it would be very important to check the quality of online and offline services and examine customer satisfaction. For this, this study investigated current online and offline nail art education, service quality and satisfaction with the education. A questionnaire survey was performed a total of 319 men and women in their 10-50s or older from Daejeon, Sejong, Chungnam, Chungbuk and other regions. The collected data were analyzed, using SPSS 27.0, and the results found the followings. The above results confirm that perception of online and offline nail art education is correlated with service quality and satisfaction. However, there are limitations in generalizing the results due to a difficulty in accurate measurement. It is anticipated that if a subject area is expanded, and teachers' satisfaction is added for comparison and analysis, there would be better results.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1208-1221
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• 2020

The purpose of this study was to provide basic data for predicting the sports consumption market that Generation Z will lead by applying data mining based decision tree analysis to explore Generation Z sports consumption style. Therefore, the survey was conducted by selecting males and females aged 19 or older as a sample among Generation Z, and data of 429 people were used for the final analysis. For data processing, frequency analysis, exploratory factor analysis, retest and reliability analysis, and decision tree analysis were performed using the SPSS statistics (ver. 21.0) program. The main results of this study are as follows. First, if the rational efficiency index is high and the aesthetic consumption index is low, the probability of being classified as a group of female was 96.8%. On the other hand, if the rational efficiency and perception of price index were low, the probability of being classified as a male group was 100%. Second, if the brand orientation, perception of price, and rational efficiency index were high, the probability of being classified as a capital area group was 97.3%. Contrary to the results presented above, the probability of being classified as a other area group was 82.1% when the brand orientation, commemoration rites, and status symbol index were low. Third, the status symbol and trend oriented index were high, and if the functionality index was low, the probability of being classified into daily life and fashion groups was 77.6%. On the contrary, if the status symbol index is low, the retention of membership and enjoy consumption index is high, the probability of being classified into exercise and competition groups was 81.0%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.537-543
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• 2020

In order to cultivate the talents needed in the 4th industrial revolution era, it is necessary to select gifted students and train them systematically. The affective characteristics of the gifted are self-concept, personality, sociality, motivation, morality, attitude and interest, and these are important factors that affect science achievement. In particular, computer scientific attitude is an important variable affecting computer science achievement. This study developed a computer scientific attitude test based on TOSRA developed by Fraser to measure the affective characteristics of information-gifted students. The computer scientific attitude test is composed of 7 areas: social implications of computer science, attitude to computer scientific inquiry, adoption of computer scientific attitudes, adoption of computer scientific attitudes, leisure interest in computer science, career interest in computer science, and normality of computer scientists. The relationship between computer scientific attitude and academic achievement of gifted students was analyzed using the developed test. To determine find out whether computer scientific attitude significantly predicts academic achievement, the results of a regression analysis showed that t = 2.543 and p = 0.025, indicating that the average of computer science attitude significantly predicted academic achievement.