• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2377-2398
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• 2023

In our daily lives, we engage in a variety of tasks that rely on our senses, such as seeing. Blindness is the absence of the sense of vision. According to the World Health Organization, 2.2 billion people worldwide suffer from various forms of vision impairment. Unfortunately, blind people face a variety of indoor and outdoor challenges on a daily basis, limiting their mobility and preventing them from engaging in other activities. Blind people are very vulnerable to a variety of hazards, including falls. Various barriers, such as stairs, can cause a fall. The Internet of Things (IoT) is used to track falls and send a warning message to the blind caretakers. One of the gaps in the previous works is that they were unable to differentiate between falls true and false. Treating false falls as true falls results in many false alarms being sent to the blind caretakers and thus, they may reject the IoT system. As a means of bridging this chasm, this paper proposes an intelligent shoe that is able to precisely distinguish between false and true falls based on three sensors, namely, the load scale sensor, the light sensor, and the Flex sensor. The proposed IoT system is tested in an indoor environment for various scenarios of falls using four models of machine learning. The results from our system showed an accuracy of 0.96%. Compared to the state-of-the-art, our system is simpler and more accurate since it avoids sending false alarms to the blind caretakers.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.1-6
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• 2024

In this paper, we develop an AI-based recommendation system that matches the specifications of smartphones from company 'S'. The system aims to simplify the complex decision-making process of consumers and guide them to choose the smartphone that best suits their daily needs. The recommendation system analyzes five specifications of smartphones (price, battery capacity, weight, camera quality, capacity) to help users make informed decisions without searching for extensive information. This approach not only saves time but also improves user satisfaction by ensuring that the selected smartphone closely matches the user's lifestyle and needs. The system utilizes unsupervised learning, i.e. clustering (K-MEANS, DBSCAN, Hierarchical Clustering), and provides personalized recommendations by evaluating them with silhouette scores, ensuring accurate and reliable grouping of similar smartphone models. By leveraging advanced data analysis techniques, the system can identify subtle patterns and preferences that might not be immediately apparent to consumers, enhancing the overall user experience. The ultimate goal of this AI recommendation system is to simplify the smartphone selection process, making it more accessible and user-friendly for all consumers. This paper discusses the data collection, preprocessing, development, implementation, and potential impact of the system using Pandas, crawling, scikit-learn, etc., and highlights the benefits of helping consumers explore the various options available and confidently choose the smartphone that best suits their daily lives.

• Clinical Endoscopy
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• v.57 no.3
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• pp.302-308
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• 2024

With incessant advances in information technology and its implications in all domains of our lives, artificial intelligence (AI) has emerged as a requirement for improved machine performance. This brings forth the query of how this can benefit endoscopists and improve both diagnostic and therapeutic endoscopy in each part of the gastrointestinal tract. Additionally, it also raises the question of the recent benefits and clinical usefulness of this new technology in daily endoscopic practice. There are two main categories of AI systems: computer-assisted detection (CADe) for lesion detection and computer-assisted diagnosis (CADx) for optical biopsy and lesion characterization. Quality assurance is the next step in the complete monitoring of high-quality colonoscopies. In all cases, computer-aided endoscopy is used, as the overall results rely on the physician. Video capsule endoscopy is a unique example in which a computer operates a device, stores multiple images, and performs an accurate diagnosis. While there are many expectations, we need to standardize and assess various software packages. It is important for healthcare providers to support this new development and make its use an obligation in daily clinical practice. In summary, AI represents a breakthrough in digestive endoscopy. Screening for gastric and colonic cancer detection should be improved, particularly outside expert centers. Prospective and multicenter trials are mandatory before introducing new software into clinical practice.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.21-28
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• 2020

Technological advancements such as artificial intelligence, robots, and big data are revolutionizing the entire society. In this paper, we analyzed preliminary teachers' daily internet/gaming/smartphone habit and the difference between preference factors in gender and diagnosis group in the situation of ethical dilemma in driverless cars. The result shows most of the male students are in high risk group of daily internet/gaming usage, and male students tend to be more immersed in games compared to female students, which negatively affects their daily lives. Students who have at least one of the daily internet/gaming/smartphone habits are more likely to be classified as high-risk group in all three of daily internet/gaming/smartphone habit. Fortunately, the students perceived themselves addicted and wanted change their habits. An analysis by a moral machine of these students tells that there is no significant difference in preference between male and female students and among diagnosis groups. However, specifically in the ethical dilemma of driverless cars, all the groups of male, female, normal, high-risk showed they have priority in pedestrians over drivers, a large number of people over small, and people who obey traffic rules over who do not. The tendency was pronounced in female group and high-risk students prioritized people who are older and in lower social status.

• Korean Parent-Child Health Journal
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• v.3 no.1
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• pp.46-59
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• 2000

The purpose of this study is to determine whether the NCASA (Nursing Child Assessment Sleep/Activity Record) would be suitable to evaluate and to provide the basic resources for a Korean model of sleep/activity patterns during the first 6 months Korean infants' lives and to provide a basis for nursing intervention for mothers of early infants. The subjects of this study were 94 normal infants from birth to 6 months of age who visited the postpartum care center and two general hospitals located in Pusan from February 1 to April 28, 2000. The method of data collection was through convenient sampling. The instrument of this study was the NCASA translated by the Korean parent Child Health Academic Association. The collected data were analysed by mean, standard deviation, frequency percentage and ANOVA, Post Hoc test by use of SPSS/PC. The conclusions obtained from this study are summarized as follows: 1. The mean amount of daytime sleep was 8.06 hours. The mean amount of nighttime sleep was 6.31 hours. The mean amount of total daily sleep was 14.37 hours. The mean of the longest sleep period was 5.20 hours. The mean regularity of daytime sleep was 25.84%. The mean regularity of nighttime sleep was 77.69%. The mean regularity of total daily sleep was 42.60%. The mean frequency of nighttime wakenings was 2.33 times. 2. The mean amount of daytime activity was 8.25 hours. The mean amount of nighttime activity was 1.39 hours. The mean amount of daily total activity was 9.64 hours. The mean of the longest activity period was 3.80 hours The mean frequency of daytime feeding was 5.69 times. The mean frequency of nighttime feeding was 2.08 times. The mean frequency of total daily feeding was 7.74 times. The mean frequency regularity of feeding was 54.62%. The mean frequency of wakenings was 5.14 times. The mean frequency of crying was 1.90 times. 3. According to an analysis of sleep patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime sleep(p<.001), amount of night time sleep(p<.05), amount of total daily sleep (p<.001), longest sleep period(p<.001), regularity of daytime sleep(p<.001), regularity of nighttime sleep(p<.01), regularity of total daily sleep(p<.001), frequency of nighttime wakenings(p<.001). 4. According to an analysis of activity patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime activity(p<.001), amount of nighttime activity(p<.01), amount of total daily activity(p<.001), longest activity period(p<.05), frequency of nighttime feeding(p<.01), frequency of wakenings(p<.001). 5. The mean amount of a mother's day time was 16.30 hours. The mean amount of a mother's night time was 7.70 hours. In conclusion, the initial irregular sleeping and activity patterns of the early infant became regurized as the infant grew older and estabilished firmer patterns of sleeping and of activity.

• Journal of the Korean Society of Food Culture
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• v.24 no.2
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• pp.224-235
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• 2009

This study aimed to research meal quality and the dietary behaviors of college students for desirable dietary lives and provides basic data for nutritional education by examining polymorphism distribution of the UCP2 gene according to gender, by investigating attitudes in terms of their dietary habits and dietary lives, and by analyzing serum lipid levels and body composition. A survey was conducted with a total of 222 students - 93 male and 129 females. Based on a selfreporting method, the questionnaires were answered over 20 minutes, and UCP2 insertion/deletion gene polymorphism and blood samples were also analyzed. The results showed that the male students and female students had average BMI of 22.50 and $20.73\;kg/m^2$, respectively. According to answers regarding their dietary lives, 51.4% of the students showed 'irregular eating' patterns, which is regarded as something to be corrected. In terms of eating regularity, 51.6% of the male students and 59.7% of the female students had irregular meal schedules. As the most important meal of a day, 64.0% of the students answered 'breakfast' but only 53.6% answered that they ate breakfast everyday. In addition, 39.8% of the male students and 50.4% of the female students ate between meals 'once a day'. When questioned if they were satisfied with their body shape, 17.8 and 45.2% of the male students answered they were 'satisfied' or needed to 'gain weight', respectively, whereas 17.8 and 77.5% of the female students answered they were 'satisfied' or needed to 'lose weight', respectively. The results of the UCP2 gene polymorphism analysis showed that 33.7% of the males belonged to the DI heterozygote group, 64.2% belonged to the DD homozygote group, and 2.1% belonged to the II homozygote group. For the female students, 63.4% belonged to the DI heterozygote group, 35.1% belonged to the DD homozygote group, and 1.5% belonged to the II homozygote group. According to the blood and serum lipid analyses, the male students showed average HDL-cholesterol, LDL-cholesterol, and hemoglobin levels of 57.20, 93.80, and 15.00 mg/dL, respectively, while the female students presented average levels of 56.69, 102.88, and 13.13 mg/dL, respectively. In conclusion, this study found no significant effects in terms of UCP2 gene polymorphisms, but it is suggested that practical plans must be designed that allow college students to use nutritional knowledge in their daily lives, and in particular, nutrition education needs to be develop that would enable female college students to recognize their bodies appropriately and to control their weight in desirable ways.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.198-206
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• 2008

The fashion in the virtual world is emerging as a new genre. Gammer in virtual community shares the avatars and space for their activities and for flourishing their virtual lives, they start to demand indispensable daily items. The gammer's demands lead to the concept of second life in the virtual world which was introduced in 2003. The trading business system is realized at the virtual world with various daily items, developed by individual programmers, through the virtual money, which may converted into real money. Particularly, fashion industry's inherent nature of snagging on-line trading is no more, now, set to ready in the virtual world let alone various daily virtual items developed by individual programmers. The purpose of this study is, focused on the virtual second life, to introduce the model of fashion business in virtual world and overall informations regarding second life business systems so as to provide the fundamental data for opening the web.3.0 era. Further various fashion items in the virtual world, developed by individual programers, will be another boost for shaping another virtual fashion business genre.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.233-239
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• 2020

Due to the development of digital technology, users can record their daily lives without being restricted by time and space. The trend is growing rapidly, but lifelogging cases are still insufficient. Google's Timeline and domestic application 'Daily' were analyzed through in-depth interviews. Based on the Creating Pleasurable Interface Model, the factors influencing user satisfaction were identified by the Reckard 7-point scale based on the Honeycomb model. The results of the in-depth interviews and the 7-point scale were similar, and we could see what and why users preferred the recording application. This study is meaningful to evaluate the user experience for recording application and analyzing the needs of users obtained through in-depth interviews to assess the usability that provide a service record and recall.

• Korean Institute of Interior Design Journal
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• v.21 no.5
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• pp.372-380
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• 2012

This study investigates the examples of memorials in which participants can communicate and interact. Memorials as an urban public space provide various information and experiences to the visitors. The purpose of this study is to investigate the types of participants' experience and the characteristics of memorial space. The 9 examples of the memorials are selected and analyzed by the experience type of participants. This study summarizes the characteristics of spatial representation of memorials as follow; first, the interactions and communications of participants are main considerations in designing memorials. This study defines three types of participants' experience in memorials as educational, emotional and daily urban experiences. Second, the memorial space providing educational experience has narrative characteristics which are explanatory, representational, hierarchical and figurative. Memorials represent historical events and individuals in figurative ways. Participants in memorials learn the event, mourn for the dead and cure the grief through walking the guided route. Third, the memorial space providing emotional experience is indeterminate and open-ended characteristics which are contemplative, symbolic, and abstractive. While participants try to find the way to walk through and understand the meaning of the abstract forms by themselves, they interface the event and the victims in private and individual ways. Fourth, the memorial space providing daily urban experience is the familiar urban facilities embedded remembrance such as memorial square, bridge and fountain. Symbolism of memorials and effectiveness of urban facilities are engaged into the memorial design. They have functional, participatory, interactive and recreational characteristics. People experience the memorials involuntarily and casually during their daily lives. The memorials with urban facilities can be related to the present and the future of the city as well as the past of the city.

• Journal of Korean Dental Hygiene Science
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• v.1 no.2
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• pp.21-39
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• 2018

The purpose of this study was to examine the learning competencies of students at a college from September 1 to November 30, 2017, in an effort to provide some information on how to foster learning competencies in college years, which lay the foundation for work and social lives. 1. The learning competencies of the subjects consisted of academic vision, student identity, cognitive regulation, emotional regulation, learning management and creating learning environments. Out of five points, they scored the highest in academic vision and student identity with 3.34, followed by learning management with 3.20, creating learning environments with 3.18, emotional regulation with 3.16 and cognitive regulation with 3.14. 2. There were statistically significant differences in academic vision according to age, the area of major, the academic credential of their fathers, commuting time, military service experience and career plans. 3. There were statistically significant differences in student identity and cognitive regulation according to gender, age, the area of major, the academic credential of their fathers, commuting time, military service experience and career plans. 4. There were statistically significant differences in emotional regulation according to age, the area of major, the academic credential of their fathers, commuting time, career plans and daily mean study hours. 5. There were statistically significant differences in learning management according to gender, age, the area of major, grade point average, the academic credential of their fathers, career plans and daily mean study hours. 6. There were statistically significant differences in creating learning environments according to gender, age, the area of major, the academic credential of fathers, commuting time, career plans and daily mean study hours. As they were poorest at the cognitive regulation area among the areas of learning competencies, self-directed learning programs that deal with how to study, learning process, how to take notes and arrange them, how to link different pieces of acquired knowledge and how to map out study plans should be developed to give support to students.