• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1369-1379
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• 2021

The post-corona era is having a major impact on university campus life, and campus cultural life has undergone drastic changes. In the process of adapting to this change. The existing face-to-face learning method is converted to non-face-to-face learning, and kiosks representing campus self-service are increasingly used. Subsequently, in order to match the characteristics of public places such as university campuses and provide better self-service, there are no related studies considering UI design elements of kiosks and characteristics of kiosks. This study conducted a survey on Chinese university students considering the characteristics and usability of university campus kiosks through user interface design elements in terms of design by considering previous studies. The purpose of this study is to examine the relationship between color, icon, typography, which are elements of kiosk interface design, and convenience, reliability, and usability, which are characteristics of a kiosk. In this study, the design elements and characteristics of the unmanned self-service system kiosk UI used by students at four universities in Korea and China were set as the scope of the study, and related documents were organized and surveyed in Korea and China. Case analysis and comparison method Through the kiosk usage characteristics of 4 universities were derived. The usability evaluation criteria use the five evaluation criteria suggested by the authority JacobNidsn. The usability evaluation criteria use the five evaluation criteria suggested by the authority JacobNidsn. The survey and analysis of this study were conducted for students who had experience using kiosks at two universities in China, and kiosk UI design elements were organized through survey and analysis of a total of 200 people.

• Safety and Health at Work
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• v.12 no.3
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• pp.304-310
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• 2021

Background: Healthcare settings have been recognized among the most hazardous places to work. Based on the five categories of occupational hazards that were identified by the ILO and WHO, this study aimed to analyze policy framework relevant to occupational health protection of health workers (HWs) in public health service in China, then discussed how to share the experience of the National Health Service (NHS) England for improvement. Methods: Based on policy learning theories, policy analysis and qualitative interview were used in this study. Results: In the Chinese public health service, at least five laws related to the regulation of occupational health protection for HWs; however, enforcement of relevant laws was separated and multi-centered; the national monitoring system, which targeted to occupational hazards and health outcome for HWs in China, had yet to be developed; the top three priorities were workplace violence, bloodborne pathogens, and musculoskeletal disorders; national strategies included Security Hospital, and Healthy China 2030. In NHS England, three laws were fundamental; several monitoring systems had been set up, including NHS Staff Survey, Commissioning for Quality and Innovation incentive scheme; mental health, musculoskeletal problem, and nutrition disorder and overweight were raised great concern; Health and Safety, and NHS Healthy Workforce Program were critical nationwide strategies. Conclusion: There were several similarities as well as differences between the Chinese public health system and NHS England, which laid foundation of learning by China. Recommendations of improving occupational health policies in China were provided, based on the lessons learned from the NHS England.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.780-789
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• 2018

Nowadays, gun crimes occur very frequently not only in public places but in alleyways around the world. In particular, it is essential to detect a person armed by a pistol to prevent those crimes since small guns, such as pistols, are often used for those crimes. Because conventional works for armed person detection have treated an armed person as a single object in an input image, their accuracy is very low. The reason for the low accuracy comes from the fact that the gunman is treated as a single object although the pistol is a relatively much smaller object than the person. To solve this problem, we propose a novel algorithm called APDA(Armed Person Detection Algorithm). APDA detects the armed person using in a post-processing the positions of both wrists and the pistol achieved by the CNN-based human body feature detection model and the pistol detection model, respectively. We show that APDA can provide both 46.3% better recall and 14.04% better precision than SSD-MobileNet.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.393-399
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• 2018

The development of unmanned AI continues, and the development of AI unmanned is aimed at more efficiently, accurately, and speedily the work that has been resolved by manpower such as industry, welfare, and manpower. AI unmanned technology is evolving in various places, and it is time to switch to unmanned systems from many industries and factories. We take this into consideration, and use the Deep Learning technology, which is one of the core technologies of artificial intelligence (AI), not the manpower but the fruits that pour the rails at once in a large orchard. We want to study the unmanned fruit sorting machine that can be operated under manager's supervision without dividing the fruit by type and grade and dividing by country of origin and grade. This unmanned automated classification system aims to reduce the labor cost by minimizing the manpower and to improve the

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.57-62
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• 2021

As the parallel computing capability for artificial intelligence improves, the field of artificial intelligence technology is expanding in various industries. In particular, artificial intelligence is being introduced to process data generated from IoT sensors that have enoumous data. However, the limitation exists when applying the AI techniques on IoT network because IoT has time series data, where the importance of data changes over time. In this paper, we propose time-weighted and user-state based artificial intelligence processing techniques to effectively process IoT sensor data. This technique aims to effectively classify IoT sensor data through a data pre-processing process that personalizes time series data and places a weight on the time series data before artificial intelligence learning and use status of personal data. Based on the research, it is possible to propose a method of applying artificial intelligence learning in various fields.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.377-379
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• 2022

POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity.

• 중국학논총
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• no.62
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• pp.85-100
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• 2019

The article purpose is 'Reading Chinese translation text as a Korean integrated education for Chinese students'. Although number of foreign students has increased rapidly to the economic growth of Korea, the influence of Korean Wave, and the popularity of Korean popular culture like K-pop at domestic universities but the problems of their curriculum have been found in many places. Korean literary education through novel text has an important place in Korean studies, but literary education is often excluded in Korean language education as a foreign language education. Chinese students already have background knowledge of Korean translation novels through Chinese novels. They can get the learning effect as the Korean language study. Second, they can compared with Korean national violence and Chinese national violence through 'Red Revolution' and understand about Korean-Chinese understanding of the times, social and cultural phenomena, Third, they are able to study the theory of literature itself. also It was the educational purpose pursued by the humanities. Chinese students develop their Korean language skills by studying the Brothers which are translated into Korean, and we can see the similarities and differences of national violence by comparing Korea's '4.19' with China's 'Cultural Revolution' After comparing people, background, dynamics of the space where they are located, we can raise awareness of the historical and social problems of both countries. It is possible to study subjects' memories of space, change of local meaning, the formation of urban space or individual space in the text in the specific space where national violence occurs. In this way, the method of learning Korean integrated education through Brothers of the Chinese translation novels makes an opportunity to look at national violence in the Korean-Chinese space of the 1960s and 1970s. It has a subjective perspective from subordination to the nationality of the modern nation-state. This is an educational effect that can be obtained through reading a Chinese translation novel as a Korean language integrated education.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.64-69
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• 2015

Place awareness is an essential for location-based services that are widely provided to smartphone users. However, traditional GPS-based methods are only valid outdoors where the GPS signal is strong and also require symbolic place information of the physical location. In this paper, environmental sounds and images are used to recognize important aspects of each place. The proposed method extracts feature vectors from visual, auditory and location data recorded by a smartphone with built-in camera, microphone and GPS sensors modules. The heterogeneous feature vectors were then learned by an ensemble learning method that learns each group of feature vectors for each classifier respectively and votes to produce the highest weighted result. The proposed method is evaluated for place recognition using a data group of 3000 samples in six places and the experimental results show a remarkably improved recognition accuracy when using all kinds of sensory data comparing to results using data from a single sensor or audio-visual integrated data only.

• Journal of the Korean Geographical Society
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• v.46 no.4
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• pp.534-553
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• 2011

Analogical thinking is a problem-solving strategy to use a familiar problem (or base analog) to solve a novel problem of the same type (the target problem). The purpose of this study is to provide new insight into geography teaching and learning by connecting cognitive science research on analogical thinking with issues of geography education and suggest that teaching with analogies can be a productive instructional strategy for geography. In this study, using the various examples of analogical thinking used in geography we defined analogical thinking, addressed the theoretical models on analogical transfer, and discussed conditions that make an effective analogical transfer. The major research findings include the following: a) the spatial analogy, indicating skills to find places that may be far apart but have similar locations, and therefore have other similar conditions and/or connections, can provide a useful way to design contents for place learning; b) representational transfer, specifying a common representation for two problems, can play a key role in solving geographic problems requiring data visualization and spatialization processes; and c) either asking learners to compare/analyze similar examples sharing common structure or providing them examples bridging the gap between concrete, real-life phenomena and the ideas and models can contribute to learning in geographic concepts and skills. The spatial analogy requiring both geographic content knowledge and visual/spatial thinking has the potential to become a content-specific problem-solving strategy. We ended with recommendations for future research on analogy that is important in geography education.

• Journal of The Korean Association For Science Education
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• v.24 no.5
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• pp.805-813
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• 2004

Our educational system clearly places much greater value on left hemisphere learning. Students who process information in other ways are at a serious disadvantage and may not be learning efficiently. Since mind mapping emphasizing visual and spatial language, it helps students to use the whole brain and promotes more effective comprehension. The purpose of this research was to determine the effects of the instruction using mind map on the science achievement of students. A pretest-posttest control group design was employed. Subjects were 153 male and female, first grade students in a middle school. A control group of 83 was instructed with a traditional teaching method, and an experimental group of 70 was instructed by using a mind mapping strategy. Two groups were treated for 50 hours during 17 weeks. Tolerance's 'Style Of Learning And Thinking(SOLAT)' was used to assess students' lateralization preferences. A 30-item multiple choice posttest was used to assess students' achievement. To analyze the data, we used an analysis of covariance(ANCOVA) and i-tests. It was found that 21.6% of students was left brain dominant, 31.4%, right brain dominant and 47.1 % was integrated style. There was no gender difference in hemispheric dominance. Significant differences existed between the test scores when they were taught by using a mind map. Mind mapping turned out to be a valuable learning technique for the right brain students, helping them to achieve the same level of subject mastery as left brain students. There was a significant difference between males and females in relation to mind map application. Female scored significantly higher than males.