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Case Study on the Pre-Service Earth Science Teachers' Faults Discrimination on Geological Map using Eye Tracker (시선 추적기를 활용한 지질도에서 예비 지구과학교사들의 단층 판별에 대한 사례 연구)

  • Woong Hyeon Jeon;Duk Ho Chung;Chul Min Lee
    • Journal of the Korean earth science society
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    • v.44 no.3
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    • pp.210-221
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    • 2023
  • The purpose of this study is to evaluate the content knowledge and problem solving process used by pre-service earth science teachers while discriminating faults on geological maps. For this, we collected and evaluated data on fixation duration and gaze plot, while pre-service earth science teachers (N=12) solved the problem on faults interpretation using an eye tracker (Tobii Pro Glass 2 model). The results were as follows. First, most of the pre-service earth science teachers know the concepts of the normal and reverse fault but they do not know the procedural knowledge essential for fault interpretation on geological maps. Second, the pre-service earth science teachers did not draw a geological cross-sectional map to interpret the fault on the geological map and interpreted the fault based on two-dimensional information collected from the geological map rather than three-dimensional information. Therefore, it is essential to improve the teaching and learning environment so that pre-service earth science teachers who will become earth science teachers in the future can learn procedural knowledge essential to comprehend natural phenomena including understanding natural phenomena. The results of this study can substantially help organize a new earth science curriculum or develop materials on teachers' education in the future.

A Study on Methodology for Improving Demand Forecasting Models in the Designated Driver Service Market (대리운전 시장의 지역별 수요 예측 모형의 성능 향상을 위한 방법론 연구)

  • Min-Seop Kim;Ki-Kun Park;Jae-Hyeon Heo;Jae-Eun Kwon;Hye-Rim Bae
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.23-34
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    • 2023
  • Nowadays, the Designated Driver Services employ dynamic pricing, which adapts in real-time based on nearby driver availability, service user volume, and current weather conditions during the user's request. The uncertain volatility is the main cause of price increases, leading to customer attrition and service refusal from driver. To make a good Designated Driver Services, development of a demand forecasting model is required. In this study, we propose developing a demand forecasting model using data from the Designated Driver Service by considering normal and peak periods, such as rush hour and rush day, as prior knowledge to enhance the model performance. We propose a new methodology called Time-Series with Conditional Probability(TSCP), which combines conditional probability and time-series models to enhance performance. Extensive experiments have been conducted with real Designated Driver Service data, and the result demonstrated that our method outperforms the existing time-series models such as SARIMA, Prophet. Therefore, our study can be considered for decision-making to facilitate proactive response in Designated Driver Services.

Simultaneous GC/MS Analyses of Organic acids and Amino acids in Urine using TMS-TFA derivative (TMS-TFA 유도체화를 이용한 소변여지 중 유기산과 아미노산의 GC/MS 동시분석)

  • Yoon, Hye-Ran
    • Analytical Science and Technology
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    • v.19 no.1
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    • pp.107-114
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    • 2006
  • Early diagnosis and medical intervention are critical for the treatment of patients with metabolic disorders. A rapid analytical method was developed for simultaneous quantification of organic acids and amino acids in urine without labor-intensive pre-extraction procedure showing high sensitivity and specificity. A new method consisted of simple two-step trimethylsilyl (TMS)-trifluoroacetyl (TFA) derivatization using GC/MS-selective ion monitoring (SIM). Filter paper urine specimens were dried under nitrogen after being fortified with internal standard (tropate) in a mixture of distilled water and methanol. Methyl orange was added to the residue as indicator reagent. Silyl derivative of carboxylic functional group was followed by trifluoroacetyl derivative for amino functional group. N-methyl-N-(trimethylsilyl-trifluoroacetamide) and N-methyl-bistrifluoroacetamide were consecutively added and heated for 15-20 min at $65^{\circ}C-70^{\circ}C$, for TMS-TFA derivative, respectively. This reactant was analyzed by GC/MS-SIM. Linear dynamic range showed 0.001-50 mg with the detection limit of (S/N=3) 10-200 ng, and the quantification limit of 80-900 ng in urine. Correlation coefficient of regression line was 0.994-0.998. When the method was applied to the patients 'urine, it clearly differentiated the normal from the patient with metabolic disorder. The study showed that the developed method could be the method of choices in rapid and sensitive screening for organic aciduria and amino acidopathy.

Development of Agricultural Products Screening System through X-ray Density Analysis

  • Eunhyeok Baek;Young-Tae Kwak
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.105-112
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    • 2023
  • In this paper, we propose a new method for displaying colored defects by measuring the relative density with the wide-area and local densities of X-ray. The relative density of one pixel represents a relative difference from the surrounding pixels, and we also suggest a colorization of X-ray images representing these pixels as normal and defective. The traditional method mainly inspects materials such as plastics and metals, which have large differences in transmittance to the object. Our proposed method can be used to detect defects such as sprouts or holes in images obtained by an inspection machine that detects X-rays. In the experiment, the products that could not be seen with the naked eye were colored with pests or sprouts in a specific color so that they could be used in the agricultural product selection system. Products that are uniformly filled with a single ingredient inside, such as potatoes, carrots, and apples, can be detected effectively. However, it does not work well with bumpy products, such as peppers and paprika. The advantage of this method is that, unlike machine learning, it doesn't require large amounts of data. The proposed method could be applied to a screening system using X-rays and used not only in agricultural product screening systems but also in manufacturing processes such as processed food and parts manufacturing, so that it can be actively used to select defective products.

A Brief Analysis of the Application of Chinese Traditional Culture in Big Fish and Begonia (<대어해당> 중 중국전통문화의 응용에 대한 간략 분석)

  • Xiaoli, Wang
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.5
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    • pp.67-72
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    • 2019
  • Animation is a comprehensive audio-visual art, animation literature, painting, music, architecture, photography and other art forms are integrated. China's animation industry has made some achievements in the new century, but on the whole, with the globalization of China, China's animation industry has been influenced by Japan and the United States. China has a history and culture of five thousand years, with profound social deposits and cultural foundation. Of the four ancient civilizations in the world, the Chinese civilization is the only one that has survived. China has too many stories to tell. From the development history of Chinese and foreign animation, we can see that many Chinese traditional cultural elements are used for reference. Since the 1980s, Chinese animation has been on the road of national revival. Chinese animation has begun to draw close to traditional culture in terms of themes, characters and scenes, and integrate Chinese traditional cultural elements. The theme of big fish and begonia is to repay kindness by sacrificing one's own life for the sake of justice and friendship. This fearless spirit of sacrificing one's life for justice is the concentrated embodiment of the fine qualities of the Chinese nation over the past several thousand years. Kun to save chun and give up his life, chun in order to repay rather give up half of his life, and qiushui in order to help their beloved, also would rather give up all of their own. These three protagonists are very distinctive personality characteristics, are to "righteousness" and give up their most precious things. At the same time, big fish and begonia combines many traditional Chinese cultural elements to form an animated film with Chinese characteristics.

Research on the Aesthetic Characteristics of Korean Director Jae-young Kwak's Love Films (한국감독 곽재용의 멜로영화 심미적 특성에 관한 연구)

  • Xin, Yuan
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.181-187
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    • 2019
  • The theme of "youth love film" is a strong point in the Korean film industry and has made remarkable achievements in the overseas market. Jae-young Kwak is a famous Korean film director and screenwriter. He is good at shooting "youth love film" with beautiful pictures, exquisite emotions and rich imagination. His films have unique charm and characteristics. This paper expounds the image style, characterization and theme. First of all, from the perspective of image style for this paper, analysis of the film is how to use different narratives and lens language to create a movie's atmosphere, makes the transfer of drunk the oriental beauty. Secondly, the main focus is on the director to find a new way to shape the characters in the film, and pay attention to the description of details, foreshadowing and explaining the plot. Thirdly, based on the theme, this paper analyzes the profound meaning behind romantic films, which reflect the yearning and pursuit of modern people, and people should pay attention to and think deeply. In the modern economic globalization, countries culture mutual exchanges and cooperation, South Korea many outstanding movie worth exploring and research, by studying the Jae-young director Kwak youth love films, excavate its popular film in the market of reason, analysis of the works reflect the aesthetic characteristics, which sums up the experience of the youth love film.

Effect of Lifestyle Risk Factors on Daily Life and Cognitive Function of the Older Adults in the Community (지역사회 노인의 라이프스타일 위험요인이 일상생활 활동과 인지기능에 미치는 영향)

  • Lim, Young-Myoung;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.12 no.4
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    • pp.111-122
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    • 2023
  • Objective : To identify the effect of lifestyle risk factors on the daily activities and cognition of the older adults in the community using the National Health Insurance Corporation 2015 geriatric cohort database. Methods : Lifestyle risk factors were defined as body mass index (BMI), smoking, drinking, vigorous exercise, moderate exercise, and walking, and basic and instrumental activities of daily living (ADL) and cognitive function variables were included in the analysis. ADL and cognitive function according to sex and age were analyzed using a t-test and one-way ANOVA. The correlation between lifestyle risk factors, ADL, and cognitive function was analyzed using Pearson's correlation analysis, and multiple regression analysis was performed to analyze their influence. Results : The factors affecting basic ADL (BADL) were sex and walking exercises, with an explanatory power of 1.7%. Instrumental ADL (IADL) included age, drinking, and walking exercises, with an explanatory power of 2.6%. Cognitive function included sex, age, BMI, vigorous exercise, and walking, with an explanatory power of 5.3%. Conclusion : Lifestyle risk factors partially affected BADLs/IADLs and cognitive function in community-dwelling older adults. This suggests the need to systematically manage lifestyle risk factors to improve and maintain the healthy lives of older adults facing biological aging.

A Study on the Implement of AI-based Integrated Smart Fire Safety (ISFS) System in Public Facility

  • Myung Sik Lee;Pill Sun Seo
    • International Journal of High-Rise Buildings
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    • v.12 no.3
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    • pp.225-234
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    • 2023
  • Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).

An Empirical Study on the Effects of Venture Company's Website Properties on Bounce Rate (벤처기업 웹사이트의 속성이 웹사이트 이탈률에 미치는 영향에 관한 실증연구)

  • Yun Do Hwang;Tae Kwan Ha
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.2
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    • pp.67-79
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    • 2023
  • The bounce rate is the rate at which a user leaves immediately after visiting, and this study aimed to find out what attributes of a website affect the bounce rate. Web site evaluation items were defined as a total of 4 items and 27 evaluation attributes, including usability, information, service interaction, and technology, so that they can be commonly applied to venture companies in various industries through prior research. As a result of the study, 6 website attributes that affect the bounce rate were verified to be significant by discriminant analysis and decision tree analysis. Suggestions to reduce the bounce rate of venture business websites through this study are as follows. First, the path name of the website is displayed as mandatory and a pull-down menu function is added to facilitate movement to other pages. Second, it is good to expose core content that can attract users' attention in the form of a banner, and place internal link banners in the right place on sub-pages. Third, external links should be linked to a new window so that they do not leave the current page immediately so that they can be re-entered. Lastly, it is recommended to expose the contact information of the person in charge and consultation function as direct information for communication with customers, but if individual response is difficult, at least the consultation function must be added. These suggestions are expected to be of practical help in various fields such as website development, operation, and marketing. However, in special cases, a high bounce rate may be normal, so it should be considered according to the situation.

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Characteristics and Changes of Policy Responses to Local Extinction: A Case of Comprehensive Strategy and Basic Policy on Community-Population-Job Creation in Japan (지방소멸 대응 정책의 특징 및 변화 분석: 일본의 마을·사람·일자리 창생 종합전략 및 기본방침을 사례로)

  • Jang, Seok-Gil Denver;Yang, Ji-Hye;Gim, Tae-Hyoung Tommy
    • Journal of the Korean Regional Science Association
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    • v.40 no.1
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    • pp.37-51
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    • 2024
  • To respond to local extinction, South Korea, under the leadership of the Ministry of the Interior and Safety, identified depopulated areas in 2021 and launched the Local Extinction Response Fund in 2022. However, due to its early stage of implementation, analyzing the characteristics and changes of policy response to local extinction at the central government level remains a challenge. In contrast, Japan, facing similar issues of local extinction as South Korea, has established a robust central government-led response system based on the Regional Revitalization Act and the Comprehensive Strategy and Basic Policy on Community-Population-Job Creation. Hence, this study examines Japan's policy responses to local extinction by analyzing the first and second periods of the Comprehensive Strategy and Basic Policy on Community-Population-Job Creation. For the analysis, topic modeling was employed to enhance text analysis efficiency and accuracy, complemented by expert interviews for validation. The results revealed that the first-period strategy's topics encompassed economy and society, start-up, local government, living condition, service, and industry. Meanwhile, the second-period strategy's topics included resource, the New Normal, woman, digital transformation, industry, region, public-private partnership, and population. The analysis highlights that the policy target, policy direction, and environmental change significantly influenced these policy shifts.