• Journal of Digital Contents Society
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• v.14 no.4
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• pp.401-410
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• 2013

A big success of the 3D film 'Avatar' in 2009 opened a full-fledged 3D movie era. A new industrial possibility of 3D contents was predicted in Korea and then the support for 3D contents production took placed via various media platforms. Korean government also announced the new development policies with a focus on 3D content. However, the 3D content industry has not been activated. Therefore, in this study by applying AHP(Analytic Hierarchy Process) method we tried to grasp the reason of the deactivation of 3D content industry through analyzing the relative importance rate of three research factors(content aspects, technical aspects, and policy aspects) that were mainly considered to activate the industry. The results of this study showed that the relative importance rate of content aspects was higher than that of technical aspects and policy aspects. It means the lack of 3D contents is one of main reason causing the delay of 3D industrial activation. And it also showed that the relief of human factors such as visual fatigue evaluated as a sub-factors of technical aspects are challenges to be solved soon..

• Journal of Aerospace System Engineering
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• v.14 no.5
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• pp.83-90
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• 2020

Disasters are causing significant damage to the lives and property of our society and are recognized as social problems that need to be solved nationally and globally. The 4th industrial revolution technologies affecting society as a whole such as the Internet of Things(IoT), Artificial Intelligence(AI), Drones(Unmanned Aerial Vehicles), and Big Data are continuously absorbed into the disaster and safety industries as scientific and technological tools for solving social problems. Very soon, twenty-nine domestic UAV-related organizations/companies will complete the construction of a multicopter type small UAV integrated system ('17~'20) that can be operated at disaster and security sites. The current work considers and proposes the mid-to-long term R&D direction of disaster UAV as a strategic asset of the national disaster response system. First, the trends of disaster and safety industry and policy are analyzed. Subsequently, the development status and future plans of small UAV, securing shortage technology, and strengthening competitiveness are analyzed. Finally, step-by-step R&D direction of disaster UAV in terms of development strategy, specialized mission, platform, communication, and control and operation is proposed.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.116-127
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• 2011

This study conducted landslide susceptibility analysis using logistic regression. The performance of prediction model needs to be evaluated considering two aspects such as a goodness of fit and a prediction accuracy. Thus to gain more objective prediction results in this study, the prediction performance of the applied model was evaluated considering two such evaluation aspects. The selected study area is located between Inje-eup and Buk-myeon in the middle of Kwangwon. Landslides in the study area were caused by heavy rain in 2006. Landslide causal factors were extracted from topographic map, forest map and soil map. The evaluation of prediction model was assessed based on the area under the curve of the cumulative gain chart. From the results of experiments, 87.9% in the goodness of fit and 84.8% in the cross validation were evaluated, showing good prediction accuracies and not big difference between the results of the two evaluation methods. The results can be interpreted in terms of the use of environmental factors which are highly related to landslide occurrences and the accuracy of the prediction model.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.739-747
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• 2018

With a large feature space data, feature selection has become an extremely important procedure in the Data Mining process. But the traditional feature selection methods with single process may no longer fit for this procedure. In this paper, we proposed a hybrid efficient feature selection model for high dimensional data. We have applied our model on KNHNAES data set, the result shows that our model outperforms many existing methods in terms of accuracy over than at least 5%.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.25-31
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• 2015

FinTech(Financial Technology) is defined as the technique to create efficient financial services using IT technologies. FinTech is an innovative technology through IT platform and big data, and is expected to improve the security and problems of the conventional banking system. Domestic financial institutions has introduced the technologies and investment in order to provide safe and effective services to users. However, In the financial environment, information disclosure and security incident has occurred so they has lost the trust from their customers. Moreover new variant of the security threats and attack techniques have occurred. Therefore, in this paper, we designed a authentication scheme for secure payment system in FinTech environment. The proposed study evaluated the stability of the existing security systems with respect to attack methods occurred in the financial environment.

• Journal of Korean society of Dental Hygiene
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• v.2 no.1
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• pp.115-129
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• 2002

The purpose of this study was to examine the actual dental hygiene status of workers in cement industry in an effort to serve as a basis for enhancing their dental hygiene. The subjects in this study were 420 laborers from the cities of Curi, Donghae and Samcheok who handled cement. As a result of conducting a survey, the following findings were given : l. The workers investigated found their working environment satisfactory, getting a mean score of 323. They also expressed a high job satisfaction with a mean score of 333. 2. They didn't have a big interest in oral health. By age group, those who were aged between 36 and 40, or who cared less about health management, showed a higher interest in oral health. Besides, the laborers who kept smoking for a longer period, or who drunk more, expressed greater interest. 3. The toothbrushing method was considered most important for periodontal health, by 45.0% of the workers, and the next most crucial one was regular dental examination, followed by refraining from smoking and staying away from sweet food in the order named. 4. Concerning daily mean toothbrushing frequency, 455% brushed their teeth three times a day on the average. More than half them didn't pay enough attention to toothbrushing. 5. Regarding scaling, the large number of the workers, 42.4%, had no experience to get their teeth scaled, 37.6%, the greatest percentage, didn't have their teeth scaled because it seemed to make their teeth painful or cold. 6. As fororal health education experience, 67.6%, the great number of them, had no experience to receive dental health education. The above-mentioned findings suggest that the cement-related workers generally neglected dental health management. They should be encouraged to correct their wrong oral health knowledge or habit to make their oral cavity more healthy. To make it happen, it's required to provide oral health education and promote organized dental health projects.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.133-140
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• 2017

The purpose of this study is to provide a basic data of clothing development that can improve the satisfaction of the body shape by examining the subjective evaluation and characteristics of each type. The types of body shape of middle-aged women were analyzed as four types: elasticity loss ladder type, flat rectangular type, thin reverse ladder type, and upper body obesity inverted triangle type. The elasticity loss ladder type was developed with the lower body, and it was analyzed that the legs size such as the thighs and claves were large, the abdomen was protruded, and especially the underbelly appeared. The flat rectangular type was the largest of the four types, and was the skinny type. The width was larger than the thickness of the body, and the difference between the hip circumference and the waist circumference was small, and it was classified into a flat rectangular shape. The thin reverse ladder type was the smallest of the four types, the upper body was developed, the back had weight, and the body was leaning forward. And the lower body and leg were poor and the abdomen was protruding. Finally, the upper body obesity inverted triangular was the highest type of BMI index among 4 types. All of subjects belong to the mild and middle obesity, and the second was the smallest but the most weighted type among 4 types. They had the fat body and big bust, the upper body was developed, and the lower body and legs were analyzed to be poor body shape. Based on the body shape of middle-aged women, it is necessary to develop designs and patterns that can cover the shortcomings of body shape.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.515-526
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• 2020

Digital healthcare is a combined area of medical field and IT and various information on digital healthcare is provided in social media. This study aims to find the research trend of digital healthcare by collecting and analyzing data related to digital healthcare through the social media. The data were collected from Naver and Daum's news and blogs from January 2008 to June 2019. Major keywords with high frequency were extracted and visualized with wordcloud and network analysis was used to analyze the relationship between major keywords. Research combining medical field and IT from 2008 to 2001, various convergence research based on medical field and IT from 2012 to 2015, convergence research that applied the 4th industrial revolution technologies such as big data, blockchain and AI were actively conducted from 2016 to June 2019.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.6
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• pp.1183-1190
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• 2017

With the development of network and IT technology, people are searching and purchasing items they want, not bounded by places. Therefore, there are various studies on how to solve the scalability problem due to the rapidly increasing data in the recommendation system. In this paper, we propose an item-based collaborative filtering method using Tag weight and a recommendation technique using MapReduce method, which is a distributed parallel processing method. In order to improve speed and efficiency, the proposed method classifies items into categories in the preprocessing and groups according to the number of nodes. In each distributed node, data is processed by going through Map-Reduce step 4 times. In order to recommend better items to users, item tag weight is used in the similarity calculation. The experiment result indicated that the proposed method has been more enhanced the appropriacy compared to item-based method, and run efficiently on the large amounts of data.

• Journal of the Korea Society for Simulation
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• v.26 no.4
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• pp.51-61
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• 2017

Hadoop platform is a representative storing and managing platform for big data. Hadoop consists of distributed computing system called MapReduce and distributed file system called HDFS. It is important to analyse the effectiveness according to the change of cluster constructions and several parameters. However, since it is hard to construct thousands of clusters and analyse the constructed system, simulation method is required to analyse the system. This paper proposes Hadoop simulator based on DEVS formalism which provides hierarchical and modular modeling. Hadoop simulator provides a retargetable experimental environment that is possible to change of various parameters, algorithms and models. It is also possible to design input models reflecting the characteristics of Hadoop applications. To maximize the user's convenience, the user interface, real-time model viewer, and input scenario editor are also provided. In this paper, we validate Hadoop Simulator through the comparison with the Hadoop execution results and perform various experiments.