• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.243-250
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• 2021

The purpose of this study is to discuss the implicit meaning of advertising content with highly persuasive language formats from a communication perspective and its interpretation process in relation to communication education, while simultaneously developing interpretative codes for media literacy education in modern society. For a successful discussion, I assumed the narrative content of advertising content that implements a special purpose as a general conversational act, and raised the issue anew that regularity exists for implicit semantic expressions. It also said that in order for media literacy education in the present society to proceed correctly, linguistic interpretations of implicit meaning cannot be guided as a principle of communication in prior research. As a solution, we confirm that socio-cultural sharing knowledge and recognition are essential interpretation codes. For further discussion, the analysis of advertising media languages with special purposes in terms of language usage was conducted to verify the process of interpreting the implicit meaning shown in them. After analyzing the implicit advertising language that I arbitrarily typified, I found that the linguistic meaning implicit with the intention of persuading the speaker can be provided mostly as media literacy education as a framework for analysis by various information and cognitive effects. In other words, acceptors should not perform only literal interpretations in the process of interpreting the implicit meaning inherent in the media language. If guided by including native language materials and background knowledge, socio-cultural customs, and general common knowledge, efficient media literacy education can be expected.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1761-1775
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• 2022

Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.197-213
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• 2022

In this study, text mining analysis was performed on online big data for recognition and assessment of urban brand I Seoul U. To this end, TEXTOM, a processing program for data acquisition and analysis was used, and the 'I SEOUL U' keyword was selected as an analysis keyword. Keyword analysis shows the keywords associated with I Seoul U to be as follows: First, as a business and marketing term, keywords include pop-up store, gallery, co-branding, (festival, etc.), commodities, private companies and online. Second, as an event-related term, keywords include Han River, tree-planting day, tree planting, Hongdae, Christmas, Mapo, Jung-gu, Sejong University, and festival. Third, as a promotional term, keywords include robotics engineer Dr. Dennis Hong, Government, Art and Korea. In the N Gram analysis, as the city brand of Seoul, I Seoul U, in the public interest, was found to contribute to the commercial activities of private companies. In connection-oriented analysis, business and marketing, events, and promotions have been derived as categories. In matrix analysis, it was found that the products of the pop-up store are mainly developed, and products in the form of co-branding were being developed. In the topic modeling, a total of 10 topics were extracted and needs for commercial utilization and information for event festivals were mostly found.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.5
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• pp.147-156
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• 2022

Industrial control systems that manage and maintain various industries were mainly operated in closed environment without external connection, but with the recent development of the Internet and the introduction of ICT technology, the access to the industrial control system of external or attackers has become easier. Such incorrect approaches or attacks can undermine the availability, a major attribute of the industrial control system, and violation of availability can cause great damage. In this paper, when issuing commands in an industrial control system, a verification group is formed using a random list to verify and execute commands, and a trust score technique is introduced that applies feedback to the verification group that conducted verification using the command execution result. This technique can reduce overhead generated by random generation in the process of requesting command verification, give flexibility to the verification process, and ensure system availability. For the performance analysis of the system, we measured the time and gas usage when deploying a smart contract, gas usage when verifying a command. As a result, we confirmed that although the proposed system generates a random list compared to the legacy system, there was little difference in the time when it took to deploy smart contract and that the gas used to deploy smart contract increased by about 1.4 times in the process of generating a random list. However, the proposed system does not perform random operations even though the operation of command verification and confidence score technique is performed together during the command verification process, thus it uses about 9% less gas per verification, which ensures availability in the verification process.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.429-435
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• 2021

The integrated underground space map shows the underground facility(water supply, sewage, gas, electric power, communication, heating), underground structures (subway, underpass, underground walkway, underground parking lot, underground shopping mall, common ward), ground(drilling, coffin, geology) refers to a map constructed so that a total of 15 types of underground information can be checked at a glance on a three-dimensional basis. The purpose of this study is to develop a technology to correct the problem of curved surface processing and the unevenness of underground facility pipelines that occur in converting 2D underground facility data into 3D-based underground space integrated map(3D underground facility model). do it with. To this end, we first investigated and reviewed the domestic and foreign status of technologies that generate data on underground facilities based on three dimensions, and developed a surface correction algorithm and an unevenness correction algorithm to solve practical problems. Algorithms to verify the developed algorithm This applied correction program was developed. Based on the above process, the three-dimensional model of the underground facility could be produced identically to reality. This study is judged to have significance as a basic study to improve the utilization of the underground spatial integration map.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.111-126
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• 2022

As operations that were only conducted in physical space in the past change to operations that include cyberspace, it is necessary to analyze how cyber attacks affect weapon systems using cyber systems. For this purpose, it would be meaningful to analyze a tool that analyzes the effects of physical weapon systems in connection with cyber. The ROK military has secured and is operating the US JMEM, which contains the results of analyzing the effects of physical weapon systems. JMEM is applied only to conventional weapon systems, so it is impossible to analyze the impact of cyber weapon systems. In this study, based on the previously conducted cyber attack damage assessment framework, a framework for analyzing the impact of cyber attacks on physical missions was presented. To this end, based on the MOE and MOP of physical warfare, a cyber index for the analysis of cyber weapon system effectiveness was calculated. In addition, in conjunction with JMEM, which is used as a weapon system effect manual in physical operations, a framework was designed and tested to determine the mission impact by comparing and analyzing the results of the battle in cyberspace with the effects of physical operations. In order to prove the proposed framework, we analyzed and designed operational scenarios through domestic and foreign military manuals and previous studies, defined assets, and conducted experiments. As a result of the experiment, the larger the decrease in the cyber mission effect value, the greater the effect on physical operations. It can be used to predict the impact of physical operations caused by cyber attacks in various operations, and it will help the battlefield commander to make quick decisions.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.194-204
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• 2022

This study examined the social capital and geographical gaps of local television stations using web data gathered through website crawling. URLs for 16 local MBC websites were collected. MBC is an abbreviation for Munhwa Broadcasting Corporation, one of South Korea's largest television and radio broadcasters. Munhwa is a Sino-Korean term that means "culture." It initially determined which institutions local broadcasting stations were linked to using a Web Impact Report. To investigate the specific connection type, URL information was classified using the n-tuple helix model, followed by 2-mode network analysis. The n-tuple helix model is an analysis method that extends the standard university-business-government triple-helix model by including a new network innovation originator. As a result, local broadcasting stations relied heavily on activities like as festivals, performances, and exhibitions to engage the local community. Local stations in Daegu-Gyeongbuk area and the Busan-Ulsan-Gyeongnam area were identified as having the most diverse connections to the local population among other regions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.378-385
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• 2021

The purpose of this study is to analyze the effects of a comparative process so that students majoring in urban planning and design can develop the ability to present non-physical alternatives along with the ability to present alternatives to a physical environment to solve urban problems. A total of 30 students majoring in urban planning and urban design were analyzed for their satisfaction with their majors, intention to find a job related to their majors, and academic achievement. This was done after conducting a comparative course of living-lab projects utilizing idle space in a region in connection with a major education course for about a year. For the analysis, the four-group design used by Solomon was used to find the differences between students who participated in the class and those who did not. The analysis showed that the students who participated in the comparative course of the living-lab project were highly satisfied with their major and their intention to find a job related to their major. The results of this study suggest that the process of cultivating the ability to work with local residents and merchants to present physical and non-physical alternatives to solve local problems by utilizing the means of living lab projects has a positive effect on the students' attachment to their majors and their self-esteem.

• Therapeutic Science for Rehabilitation
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• v.11 no.2
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• pp.25-37
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• 2022

Objective : Through the bibliographic analysis method, the flow of research is grasped from a macroscopic point of view and the connection system of key words is conducted. The purpose of this is to provide basic data for conducting research on aging anxiety and lifestyle. Methods : Among the bibliographic analysis methods, a citation analysis method that identifies the association based on the number of citations and a simultaneous appearance word analysis method that identifies the association based on the number of keywords appeared was used. VOSviewer was used to cluster and chart the analyzed information. Results : The frequency of occurrence of papers by year showed a gradual increase until 2017 and a rapid increase from 2018. In the field of research paper study, research was most actively conducted in the field of psychiatry. In the citation analysis, the United States, Australia, and the United Kingdom showed high correlation with each other, and as a result of conducting simultaneous word analysis on major keywords, words with high association with aging anxiety were found to be depression. Conclusion : This study is meaningful in that it grasped the flow of aging anxiety and lifestyle research from a macroscopic point of view using a bibliographic analysis method. Based on this, it is expected to understand the importance of lifestyle from the preventive point of view of aging and to be used as basic data for intervention and related education.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.95-118
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• 2021

As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.