• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.173-187
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• 2023

In an era of population decline, depopulated regions facing challenges in attracting inbound population migration must enhance urban vitality through the attraction of living populations. This study focuses on Busan, a city experiencing population decline, comparing the spatiotemporal distribution characteristics of registered residents and living populations in various administrative districts (Eup-Myeon-Dong) using mobile communication big data. Administrative districts are typified based on population change patterns, and regional characteristics are analyzed using indicators related to urban decline and vitality. Spatiotemporal distribution analysis reveals generally similar density patterns between registered residents and living populations; however, a distinctive feature is observed in the city center areas where the density of registered residents is low, while the density of living populations is high. Divergent trends in spatial patterns of change between registered residents and living populations show clusters of registered population decline in low-density areas and clusters of living population decline in high-density areas. Areas adjacent to declining living populations exhibit large clusters of population changes, indicating a spillover effect from high-density to neighboring areas. Typification results reveal that, even in areas with a decline in registered residents, there is active population influx due to commuting or visiting. These areas sustain an increase in the number of businesses, confirming the presence of industrial and economic growth. However, approximately 47% of administrative districts in Busan are experiencing a decline in both registered residents and living populations, indicating ongoing regional decline. Urgent measures are needed for enhancing urban vitality. The study emphasizes the necessity of utilizing living population data as an urban planning indicator, considering the increasing limit distance of urban activities and growing interregional interaction due to advancements in transportation and communication.

• Knowledge Management Research
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• v.17 no.2
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• pp.165-185
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• 2016

Though Korea has received attention through an exceptional economic growth and the big K-POP fever all over the world, its happiness level is not so high. Therefore, this research aims to find not only the Korean' s condition of the happiness and unhappiness, but also the way to enhance their happiness. We collected various web data(89,127 cases from 2013/01 to 2014/12) through searching our own 26 keywords based on Alderfer's ERG Theory. Also, we tried to analyze the subjects related to happiness and unhappiness by using LDA topic modeling. As the result, the condition of happiness and unhappiness were the top topics extracted from each field. We conducted the second detailed analysis based on the data of condition of the happiness and unhappiness which are the top topics of the previous analysis. From the second analysis result, we proposed several ways to enhance happiness from the perspective of government, corporate, family, education, social welfare.This paper is meaningful because it catches the condition of happiness and unhappiness based on a real web data as well as transform the data into the knowledge. Also, this paper provides the practical methods from the view from all walks of life that may enhance happiness and relieve unhappiness.

• Journal of Sensor Science and Technology
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• v.31 no.3
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• pp.180-186
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• 2022

Photosynthetically active radiation flux density (PPFD) and daily light integral (DLI) values related to plant photosynthesis were obtained using the sunlight time and insolation data points in the agricultural weather sensor data for Jinan-gun, Jeollabuk-do, Korea from 2016 to 2020. The objective was to optimize the photo-environmental conditions for cultivating ginseng. The range of average monthly sunshine duration was 395.5-664.1 min, with the longest duration observed in June. The range of average annual accumulated daily insolation was 11.98-17.65 MJ·m^-2. The range of average daily external DLI calculated from the insolation and solar time data was 22.3-36.1 mol·m^-2·d^-1, and the annual cumulative DLI was 8,156-13,175 mol·m^-2·d^-1. Both the insolation and DLI values were the highest in 2016 and lowest in 2020. Based on the PPFD required for ginseng growth (111-185 µmol·m^-2·s^-1), the monthly average daily DLI and monthly cumulative DLI were 3.51-5.87 and 82-228 mol·m^-2·d^-1, respectively. The range of five-year average value for the external monthly cumulative DLI was 298-1,459 mol·m^-2·d^-1, and the monthly cumulative DLI values when a black double shading film and blue-white shading film were applied were 101-496 and 36-175 mol·m^-2·d^-1, respectively. A comparative analysis of DLI values indicated that shading was required to ginseng growth throughout the year under natural light. When the black double shading film was used, shading was required from March to October. When the blue-white shading film was applied from April to August, (i.e., the period with active ginseng growth) the appropriate DLI for ginseng growth could be continuously maintained. Regional weather differences due to climate change are gradually increasing, and even in one region, monthly and cumulative DLI values are different every year. Therefore, in order to implement a precise agricultural environment for ginseng cultivation, precise analysis and continuous research using agricultural weather sensor big data is required.

• Korean Journal of Health Education and Promotion
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• v.6 no.1
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• pp.75-90
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• 1989

This study tries to show the physical growth patterns and various adolescent characteristics by using longitudinal data for the height, weight, chest girth and sitting height of 1, 132 high school students in Seoul. And this study also tries to show what influencing factors on the physical growth of this aged population. The followings are the results. 1. The boys have their peak velocity of height when they are 12~13 years old. And the girls have when they are 10~11 years old. Peak velocity of weight for boys is at the age of 13~14. And for girls is at the age ofr11~12. Peak velocity of chest girth for boys is at the age of 12~13. And for girls is at the age of 11~12. Peak velocity of sitting height for boys is at the age of 13~14. And for girls is at the age of 11~13. So girls of this period grow more rapidly by around two years than boys. 2. The menarche of girls begins at the age of 12.4. So it begins 1.4 year before peak height velocity period. 3. Of life behavior boys contingency coefficient between essential time and height and weight is .5150 and .479 5, that between studying time and height and weight is .3344 and and .2912(In case of girls is .4735, .4321, .3247, .3134).

• Journal of Digital Convergence
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• v.19 no.2
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• pp.1-12
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• 2021

With the recent 4th Industrial Revolution, the growth and value of big data are continuously increasing, and the government is also actively making efforts to open and utilize public data. However, the situation still does not reach the level of demand for public data use by citizens, At this point, it is necessary to identify research trends in the public data field and seek directions for development. In this study, in order to understand the research trends related to public data, the analysis was performed using topic modeling, which is mainly used in text mining techniques. To this end, we collected papers containing keywords of 'Public data' among domestic and foreign research papers (1,437 domestically, 9,607 overseas) and performed topic modeling based on the LDA algorithm, and compared domestic and foreign public data research trends. After analysis, policy implications were presented. Looking at the time series by topic, research in the fields of 'personal information protection', 'public data management', and 'urban environment' has increased in Korea. Overseas, it was confirmed that research in the fields of 'urban policy', 'cell biology', 'deep learning', and 'cloud·security' is active.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.2
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• pp.230-243
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• 2009

The purpose of this study was to analyse the body sizes of $7{\sim}12$ years elementary school girls and also to categorize KS size dimensions by the detailed information of ages and body shapes. For the study, the data of SizeKorea(2004) was analysed. Height, bust, waist, hip, the ratio of waist to height and hip to height were significant between age groups, but the ratio of bust to height was not. Therefore, the increase of bust size was resulted in growth of bust circumference, instead of bust volume. In the same height group, over 11 year girls had smaller waist, while over 12 year girls had bigger hip. For Grouping girls by ages and body shapes, the ages were divided into 2 groups, under 10 years old and 11 to 12 years old. The body shapes classified into 3 groups 'Stout-shape', 'Middle-shape', and 'slim-shape', by the ratios of bust to height and hip to height. 'Stout-shape' was significantly big at the almost sizes, but 'Middle-shape' was significantly big at only circumferences, not lengths. In addition, drop(the difference between bust and hip) and lower-drop(the difference between waist and hip) were in inverse proportion to the ratios of bust to height and hip to height. It meant the increases of bust-ratio and hip-ratio of 'Stout-shape' were resulted in overweight, rather than female matureness. The distribution of sizes over 0.5% were grouped for grading system and the subtotal percentiles of each group were calculated for industrial data. The groups which covered more than 10% of consumers were 2 to 6 and the 1 or 2 groups for 'Stout-shape' were also observed, so that children's ready-to wear companies could use them efficiently for their own consumer target.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.53-58
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• 2024

IoT, Big-data, AI, and Cloud technologies, which are core technologies of the 4th Industrial Revolution, have recently been applied to various fields and are being used as core technologies for new growth engines. Accordingly, these core technologies are applied to the agricultural field without exception, contributing to solving the problem of labor shortage, reducing production costs, and reducing environmental burden through remote and automated production without time and space constraints. However, as these core technologies are utilized, security incidents are occurring in the agricultural field as well. Accordingly, this study divides smart farms into three stages(Basic, Middle, and High) and presents the characteristics and security threats of each stage. In particular, as the number of container-based services and research increases under cloud platforms, we would like to suggest countermeasures focusing on security threats.

• Journal of the Korean Society of Costume
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• v.59 no.7
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• pp.1-16
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• 2009

This study is on the children's clothing in Seoul Gyeonggi-do, Chungcheong-do and Gangwon-do between the $1920s{\sim}1950s$, by comparing positive data collected from pictures and literatures, remains and interviews. A baenaet jeogori was made of soft white cotton fabrics and was used as a charm when the baby had grown and had an test or a big occasion. A dureong chima and pungcha trousers were clothes for both boys and girls from their birth to the age of $4{\sim}5$ when they could have bowel movements by themselves. Occasions for celebrating a baby's growth were the one-hundredth day and the first birthday. In general, ordinary families had their babies' one-hundredth day in a simple way without special clothes. On the first birthday, however, even ordinary families prepared new clothes for their babies, and read their fortune and prayed for their well being and long life through events such as doljabi. In the age when medicine was poor and the infant mortality was high, the meaning of such a ceremony was to congratulate on the baby's safe growth through dangerous moments.

• Journal of Multimedia Information System
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• v.9 no.1
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• pp.33-42
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• 2022

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

• Smart Media Journal
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• v.8 no.4
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• pp.58-63
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• 2019

The growth of the mobile device market has changed the education market and led to the quantitative growth of various media education. In particular, smart devices, which have better interaction than existing PCs or consoles, can develop more user-friendly content, allowing various types of educational content and inducing changes in traditional education methods for consumers. Although many researchers recently suggest viable development methods or marketing elements of contents, development companies, and developers, until now, merely rely on the human senses. Therefore, it is necessary to study the actual user's smart-device based usability and experience environment. This study aims to propose an intuitive statistical processing method for analyzing the usability of game-type educational contents in terms of form, for popular games that have been released as a basis for analyzing the user experience environment. In particular, because the game industry has a sufficient number of similar examples, it is possible to conduct research based on big data and to use them for immediate decision-making between multiple co-developers through the analysis method proposed by the research. It is expected to become an analytical model that can communicate with other industries because it is effective in securing data sources.