• Journal of Digital Convergence
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• v.14 no.5
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• pp.263-271
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• 2016

Localizing an object in image is a common task in the field of computer vision. As the existing methods provide a detection for the single object in an image, they have an utilization limit for the use of the application, due to similar objects are in the actual picture. This paper proposes an efficient method of object localization for image recognition. The new proposed method uses color correlation back-projection in the YCbCr chromaticity color space to deal with the object localization problem. Using the proposed algorithm enables users to detect and locate primary location of object within the image, as well as candidate regions can be detected accurately without any information about object counts. To evaluate performance of the proposed algorithm, we estimate success rate of locating object with common used image database. Experimental results reveal that improvement of 21% success ratio was observed. This study builds on spatially localized color features and correlation-based localization, and the main contribution of this paper is that a different way of using correlogram is applied in object localization.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.219-225
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• 2013

The purpose of this study was to retrospectively investigate the contributing factors in facial soft tissue injuries among children. A record-based analysis was carried out on 126 patients with facial lacerations who visited I hospital in the dept of plastic surgery from April 2010 to May 2011. Through all age group showed a significant difference in incidence rate for male and female.(p<.05). Overall, 49% of injuries occurred outdoors and the most frequent cause of injury was slip-down (42%), followed by being struck (40%). In general, the frequency of injuries peaked summer(30.2%) and increased between 12pm and 4pm. 105 patients (83.3%) arrived at the emergency room within an hour. The forehead(26%) was the most commonly injured area. The depth of soft tissue injuries was mostly subcutaneous(54%), and 1~2cm was the length of injury with the highest incidence(46%). Most children (40%) needed local anesthesia and only 4 children (1.53%) suffered associated fractures. Facial injuries require special attention because of their potential threat in inducing permanent scar or disfigurement. For the safety of children, the preventive measures to reduce facial soft tissue injuries must be improved.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.229-237
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• 2018

As IoT and AI have recently developed, interest in digital healthcare is increasing. Therefore, this study aims to identify technology trends through a patent analysis on digital healthcare and present future promising areas by analyzing domestic and foreign technology competitiveness and keywords. The detailed technologies to be analyzed were designated as Health Information Measurement Technology, Healthcare Platform Technology and Healthcare Remote Service Technology, and 61,166 patents were analyzed to identify the patent trends of the world's major patent offices and major patent applications. In addition, the analysis of the technological competitiveness of each detailed technology and Korea's technological competitiveness based on its patent activity, the rate of major market securing, and the uses of the patents showed that Korea's technological competitiveness was lower than global technology. In addition, the key keyword analysis showed that the core promising areas of digital healthcare were expected to require a focused strategy for fostering health care platform technologies in Korea.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.451-459
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• 2018

The aim of this study is to compare the differences in health promotion behaviors by the use of complementary alternative therapy(CAT) in elderly women with osteoarthritis. A total of 621 elderly women with osteoarthritis from public health centers and their branches at a city of C state were enrolled. This study analyzed the frequency and percentage of complementary alternative therapy utilization; a Chi-square test was used for utilization analysis according to subjects' general characteristics and disease features. Degree of health promotion behaviors according to CAT utilization was analyzed by a t-test and ANOVA. The study found that the CAT utilization rate for the total of 621 people was 61.7 %. For health promotion behaviors according to CAT utilization, statistically significant differences were found in exercise (p<0.001), health responsibility (p<0.001) and self-realization (p=0.016) from the domains. This study demonstrated the differences of health promotion behaviors based on CAT utilization. Due to the results of this study it is notable to mention that counseling, instruction for CAT utilization, and strategy development for health promotion are necessary for elderly women with osteoarthritis.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.157-166
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• 2020

This study examines the status of major corruption in the public and private sectors in Korea. This study adopts the secondary data analysis method, and uses 'The Status of Corruption in Korean Society' released by Ipsos in March 2019. The annual difference analysis is conducted to examine the trend of major corruption, and the results are as follows. First, in the public sector, the number of conspicuous crimes, such as bribery, has decreased, but intelligent crimes that are not easily detected, such as abuse of authority, are increasing. In the private sector, embezzlement was on the decline, but breach of trust remained at a certain level. Second, from 2003 to 2017, the average annual change rate of major corruption in the public sector was 8.0%, while the private sector was 1.8%. Third, the public sector has seen a slight increase in corruption except in 2015, but the private sector has been declining since 2014. This study is different as it makes academic contributions by offering three anti-corruption measures; changing the culture of high power distance, changing the culture of low corruption perception, and abolishing the culture of impunity. Empirical studies using primary data that separate the two groups are required.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.147-158
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• 2021

This study was conducted seven times from 2007 to the 2019 Women's World Handball Championships to analyze and strengthen the strength of the Korean women's handball team through the analysis of the top five countries' strengths. Among the 41 national teams participating in the World Women's Handball Championship, a total of five national teams, including the Netherlands, Norway, Russia, Spain, and France, were selected for the final study. Among the records provided by the International Handball Federation (IHF), the ranking was selected by analyzing the competition records of 41 participating countries, and technical statistics and frequency analysis were conducted using the SPSS/PC+ Ver21.0 program. based on the accumulated records of the top five women's handball competitions, handball attack and defense strategies that can make up for the inferiority in future physical conditions are needed and detailed follow-up studies are needed. Also, we hope to use it as a basic resource for improving the performance of Korean women's handball players and to play a key role in enhancing the level of women's handball at the 2021 Tokyo Olympics.

• Journal of Service Research and Studies
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• v.12 no.3
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• pp.158-175
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• 2022

This study discusses mass unemployment and job insecurity due to the 4th industrial revolution and technological progress. In particular, the construction automation service method can contribute to increasing work productivity, preventing on-site safety accidents, and enhancing the competitiveness of the construction industry according to rapid development and convergence between technologies. However, there is great concern that the position of workers will decrease and the income distribution will deteriorate. Therefore, this study is necessary to alleviate the anxiety of the labor market and to find a direction for the government and all walks of life to ponder. To carry out this study, in-depth interviews were conducted with two experts currently engaged in the construction field, and through analysis, we intend to derive meaning and identify current trends, identify necessary improvement measures and institutional areas and suggest research directions. As a result of the analysis, it is possible to suggest a response strategy in a total of three themes: purpose, implication, and strategy. Based on this, there are response strategies in four areas: (1) industrial site response, (2) worker response, (3) education, and (4) training response, and government and corporate response. Through this study, it is necessary to revitalize economic and sociological discussions in the future so that the improvement in productivity and efficiency of society as a whole due to technological innovation of construction automation services does not lead to social problems such as an increase in the unemployment rate and a decrease in jobs in the labor market.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.569-577
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• 2023

This study selected seven carbon-neutral villages, considering the characteristics of each region, including all five administrative districts of Changwon City, and proposed activation plans based on business evaluations through surveys of local residents and FGIs with leaders. The analysis showed that carbon-neutral education was the most important factor for activating carbon-neutral villages, with a response rate of 91.9% for 17 multiple-choice questions, followed by legal (ordinance) arrangements at 79.3% and village organization building at 74.1%. Based on this, the following activation plans through the participation of residents who are involved in the project of creating a carbon-neutral village in Changwon City were proposed. First, the characteristics of each carbon-neutral village model were classified into a resource circulation-based model, an environmental creation-based model, an environmental education and experience event-based model, and an energy efficiency-based model. Second, it is necessary to create and present carbon-neutral village growth stage guidelines for the growth of carbon-neutral villages. Third, manuals and teaching materials related to carbon neutrality, such as theories, issues, and practices, need to be produced and distributed for leaders and activists to easily apply and access for self-government operation of the village. Finally, if a carbon-neutral support center that is legally installable in Changwon City is established, it is expected that the lives of local residents will become more sustainable for carbon-neutral living in preparation for climate crises.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.693-700
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• 2024

As of the end of March 2022, the total area of domestic industrial complexes is 606 km2, which is only about 0.6% of the total land area. However, as of 2018, the annual energy consumption of domestic industrial complexes is 110,866.1 thousand TOE, accounting for 53.5% of the country's total energy consumption and 83.1% of the entire industrial sector energy consumption. In addition, industrial complexes have a significant impact on the environment, accounting for 45.1% of the country's total greenhouse gas emissions and 76.8% of industrial sector greenhouse gas emissions. Under this background, in this study, in order to contribute to the energy efficiency of industrial complexes, a prediction study on energy demand and supply for an industrial complex in Korea using machine learning was conducted. In addition, a simulator UI screen was designed to more efficiently convey information on energy demand/supply prediction results and energy consumption status. Among the machine learning algorithms, Multi-Layer Perceptron (MLP) was used, and Bayesian Optimization was applied as an optimization technique for the prediction model. The energy prediction model for the industrial complex built in this study showed a prediction accuracy of 87.90% for compressed air demand and 99.54% for the flow rate available for the public air compressor.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.11-17
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• 2020

In this paper, we propose practical results for cache replacement policy by measuring cache hit and search time for each replacement algorithm through cache simulation. Thus, the structure of each cache memory and the four types of alternative policies of FIFO, LFU, LRU and Random were implemented in software to analyze the characteristics of each technique. The paper experiment showed that the LRU algorithm showed hit rate and search time of 36.044% and 577.936ns in uniform distribution, 45.636% and 504.692ns in deflection distribution, while the FIFO algorithm showed similar performance to the LRU algorithm at 36.078% and 554.772ns in even distribution and 45.662% and 489.574ns in bias distribution. Then LFU followed, Random algorithm was measured at 30.042% and 622.866ns at even distribution, 36.36% at deflection distribution and 553.878ns at lowest performance. The LRU replacement method commonly used in cache memory has the complexity of implementation, but it is the most efficient alternative to conventional alternative algorithms, indicating that it is a reasonable alternative method considering the reference information of data.