• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1564-1573
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• 2016

With the spread of social media and mobile devices, people spend more time on online than ever before. As more people participate in various online activities, much research has been conducted on how to make use of the time effectively and productively. In this paper, we propose two methods which can be used to extract highlights and make searchable media indexes using online social data. For highlight extraction, we collected the comments from the online baseball broadcasting website. We adopted peak-finding algorithm to analyze the frequency of comments uploaded on the comments section of the website. For each indexes, we collected postings from soap opera forums provided by a popular web service called DCInside. We extracted all the instances when a character's name is mentioned in postings users upload after watching TV, which can be used to create indexes when the character appears on screen for the given episode of the soap opera The evaluation results shows the possibility of the crowdsourcing-based media interaction for both highlight extraction and index building.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.187-197
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• 2021

We present following research summary and implications through the analysis of the research. First, the before the opening of public cremation facilities compared to new opening of those, the number of the corpse cremation increases to annual average of 5.5% of the rate, and it has a positive effect on increasing rate of the cremation. Therefore, a policy of expanding the supply of public cremation facilities should be pursued to improve cremation rate in the area of uninstalled public cremation facilities. Second, the before the opening of public cremation facilities compared to new opening of those, the number of the corpse cremation has increased to the annual average 3,623 people(56.9%) at jurisdiction area, while it has decreased to 949 people (28.3%) at the out of the jurisdiction area. The active efforts and building the funding expansion should be made to establish public cremation facilities of the central and local governments to improve convenience of the use of public cremation facilities. Third, since the before and after opening of public cremation facilities at Jeongeup City lead to great effect on demand of jurisdiction area and out of the jurisdiction area, the cremation demand should be reduced through the supply expansion of public cremation facilities and differentiation strategy to control cremation demand at the out of the jurisdiction area, focusing on metropolitan areas with high cremation demand, such as metropolitan areas or metropolitan cities.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.198-206
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• 2021

Based on the results of the survey and analysis of this study, we suggested a plan to activate the use of Capital Area Public Charnel Facilities as follows. First, the elderly population in Korea increased from 11.9% in 2013 to 16.4% in 2020, and the number of deaths also increased from 266,257 in 2013 to 305,127 in 2020. The supply of Public Charnel Facilities should be expanded, reflecting the cremation demand in the future and condition for the supply and increasing demand of Public Charnel Facilities after cremation, due to an increase of 14.6%. Second, it is urgent to expand the supply because the available period of using Capital Area Public Charnel Facilities is a short period of at least one year up to five years. However, as it is difficult to build Public Charnel Facilities due to location conflicts with local residents, joint construction plans between local governments should be promoted along with renting Private Charnel Facilities. Third, the enshrinement number ratio of the Public Charnel Facilities to the total cremation number of Capital Area Public Cremation Facilities is 16.3%, which is low. Therefore, when building Public Charnel Facilities, improvement plans for the use of public funeral facilities, such as modernization and promotion of facility level, quality improvement of service level, and creation of a pleasant environment, should be actively promoted.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.173-178
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• 2020

As the fourth industrial revolution, in which people, objects, and information are connected as one, various fields such as smart energy, smart cities, artificial intelligence, the Internet of Things, unmanned cars, and robot industries are becoming the mainstream, drawing attention to big data. Among them, Smart Grid is a technology that maximizes energy efficiency by converging information and communication technologies into the power grid to establish a smart grid that can know electricity usage, supply volume, and power line conditions. Smart meters are equient that monitors and communicates power usage. We start with the goal of building a virtual smart grid and constructing a virtual environment in which real-time data is generated to accommodate large volumes of data that are small in capacity but regularly generated. A major role is given in creating a software/hardware architecture deployment environment suitable for the system for test operations. It is necessary to identify the advantages and disadvantages of the software according to the characteristics of the collected data and select sub-projects suitable for the purpose. The collected data was collected/loaded/processed/analyzed by the Hadoop ecosystem-based big data platform, and used to predict power demand through deep learning.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.104-108
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• 2023

This paper deals with research on innovative systems using Python-based artificial intelligence technology in the field of plant growth monitoring. The importance of monitoring and analyzing the health status and growth environment of plants in real time contributes to improving the efficiency and quality of crop production. This paper proposes a method of processing and analyzing plant image data using computer vision and deep learning technologies. The system was implemented using Python language and the main deep learning framework, TensorFlow, PyTorch. A camera system that monitors plants in real time acquires image data and provides it as input to a deep neural network model. This model was used to determine the growth state of plants, the presence of pests, and nutritional status. The proposed system provides users with information on plant state changes in real time by providing monitoring results in the form of visual or notification. In addition, it is also used to predict future growth conditions or anomalies by building data analysis and prediction models based on the collected data. This paper is about the design and implementation of Python-based plant growth monitoring systems, data processing and analysis methods, and is expected to contribute to important research areas for improving plant production efficiency and reducing resource consumption.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.268-276
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• 2023

The representative branch of ICT education is Arduino. However, there are various problems when teaching using Arduino. Arduino requires a complex understanding of hardware and software, and this can be perceived as a difficult course, especially for beginners who are not familiar with programming or electronics. Additionally, the process of connecting the pins of the Arduino board and components must be accurate, and even small mistakes can lead to project failure, which can reduce the learner's concentration and interest in learning Arduino. Existing Arduino learning content consists of text and images in 2D format, which has limitations in increasing student understanding and immersion. Therefore, in this paper analyzes the necessary conditions for sprouting 'growing kidney beans' in the first semester of the fourth grade of elementary school, and builds an automated experimental environment using Arduino. Augmented reality of the pin connection process was designed and produced to solve the difficulties when building an automation system using Arduino. After 3D modeling Arduino and components using 3D Max, animation was set, and augmented reality (AR) content was produced using Unity to provide learners with more intuitive and immersive learning content when learning Arduino. Augmented reality (AR)-based Arduino learning content production is expected to increase educational effects by improving the understanding and immersion of classes in ICT education using Arduino and inducing fun and interest in physical computing coding education.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.345-357
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• 2024

High rise hotels are densely populated and have complex ignition sources. Once a fire occurs, it can cause serious casualties and property damage. The impact of a fire is greater on special groups such as the elderly and children who move slowly. At present, research mainly focuses on the impact of high-rise building structures on evacuation consequences, but there is little research on the safety evacuation consequences of elderly and children in high-rise hotels, as well as the behavior of people in groups during the safety evacuation process. Therefore, we propose to use Pathfinder software to simulate three scenarios for the elderly and children in high-rise hotels. Scenario 1 involves arranging the elderly and children on higher floors, Scenario 2 involves arranging them on middle floors, and Scenario 2 involves arranging them on lower floors. We further provide three types of personnel pairing schemes for each scenario, namely: no one pairing, two people pairing, and three people pairing. Through simulation analysis, we found that placing elderly and children with lower mobility on lower floors resulted in the shortest safe evacuation time; The evacuation time for solo actions without companionship is the shortest, followed by two people in groups, and the safety evacuation time for three people in groups is the longest. Our research findings have significant implications for improving the evacuation efficiency of personnel in fire scenarios.

• Korean Journal of Soil Science and Fertilizer
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• v.6 no.1
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• pp.53-60
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• 1973

It is well known that upland soils in Korea are of low fertility, especially if newly reclaimed. Broadcasting of a sufficient rate of fused phosphate in addition to the normal dosage of fertilizer on such soils, may produce a crop yield comparable to that on ordinary upland soils, and the broadcasting of fertilities may build up soil fertility rather quickly. Building up fertility in this way will give a good crop growth on such newly reclaimed soils even under conditions where supplies of compost are limited. Since the precipitation in Korea is mainly concentrated in the months June through September, a complete cover of the land during this period is of major importance, requiring a well considered rotation and skilful management. If this is not possible, the application of a much of about 200 kg, straw per 1/10th ha. is recommended instead. Furthermore, contour cultivation on land with slopes less than five degrees, together with contour furrows, straw mulching, strip cultivation, interplanting, and proper selection of crops which provide a good cover of the land, is recommended on slopes varying between five and fifteen degrees and in addition, bench-terraces on slopes in excess of $15^{\circ}$.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.181-188
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• 2012

An effective extraction method for extracting a coated tongue is proposed in this paper, which is used as the diagnostic criteria in the tongue diagnosis. Proposed method uses the fluorescence response characteristics of the coated tongue that is occurred by using the ultraviolet light. Specially, this method can solved the previous problems including the issue in the limits of the diagnosis environment and in the objectivity of the diagnosis results. In our method, original tongue image is acquired by using the ultraviolet light, and binarization is performed by thresholding a valley-points in the histogram that corresponds to the color difference of tongue body and tongue coating. Final view image is presented to the oriental doctor, after applying the canny-edge algorithm to the binary image, and edge image is added to the original image. In order to evaluate the performance of the our proposed method, after building a various tongue image, we compared the true region of coated tongue by the oriental doctor's hand with the extracted region by the our method. As a result, the proposed method showed the average 87.87% extraction ratio. The shape of the extracted coated tongue region showed also significantly higher similarity.