• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.4
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• pp.223-233
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• 2021

Systematic and continuous monitoring and management of the energy consumption of buildings are important for estimating building energy efficiency, and ultimately aim to cope with climate change and establish effective policies for environment, and energy supply and demand policies. Globally, buildings consume 36% of total energy and account for 39% of carbon dioxide emissions. The purpose of this study is to generate three-dimensional thermo-spatial building models with photogrammetric technique using drone TIR (Thermal Infrared) images to measure the temperature emitted from a building, that is essential for the building energy rating system. The aerial triangulation was performed with both optical and TIR images taken from the sensor mounted on the drone, and the accuracy of the models was analyzed. In addition, the thermo-spatial models of temperature distribution of the buildings in three-dimension were visualized. Although shape of the objects 3D building modeling is relatively inaccurate as the spatial and radiometric resolution of the TIR images are lower than that of optical images, TIR imagery could be used effectively to measure the thermal energy of the buildings based on spatial information. This paper could be meaningful to present extension of photogrammetry to various application. The energy consumption could be quantitatively estimated using the temperature emitted from the individual buildings that eventually would be uses as essential information for building energy efficiency rating system.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.197-215
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• 2021

This paper analyzes the machine learning predictions of the economic effects of Busan's strategic industries on the employment and income using the Ridge Regression and Lasso Regression models with regulation terms. According to the Ridge estimation and Lasso estimation models of employment, the intelligence information service industry such as the service platform, contents, and smart finance industries and the global tourism industry such as MICE and specialized tourism are predicted to influence on the employment in order. However, the Ridge and Lasso regression model show that the future transportation machine industry does not significantly increase the employment and income since it is the primitive investment industry. The Ridge estimation models of the income show that the intelligence information service industry and global tourism industry are also predicted to influence on the income in order. According to the Lasso estimation models of income, four strategic industries such as the life care, smart maritime, the intelligence machine, and clean tech industry do not influence the income. Furthermore, the future transportation machine industry may influence the income negatively since it is the primitive investment industry. Thus, we have to select the appropriate economic objectives and priorities of industrial policies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.304-312
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• 2019

Service companies are making constant efforts to gain positive business performance such as customer satisfaction, quality improvement, and valuable management. Compared to other industries, service companies are highly dependent on workers for responding to customers and satisfying various customer needs in terms of business content and type. Thus, the attitude, given, environment, and capacity of the workers who supply service and serve customers are important factors that directly and indirectly influence customer satisfaction and performance. To enhance the performance of organizations and gain competitive advantage, it is important to provide the various forms of social support for workers as service suppliers. In this sense, active interests including the development of personal competence, support for working environment, and providing chances for the development of new services are significant. This study is a follow-up study on the influence of social support for positive psychological capital, creativity, and work performance of service workers. Among the service process matrix, this study targets the workers involved in mass service fields and seeks to examine how support for co-worker influences the performance through self-efficacy. No empirical analysis has examined workers involved in mass service fields. Thus, this study aims to take an approach different from that of previous studies and to suggest more effective human resource management strategies for enhancing the competitiveness of service companies and provide related implications.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.299-316
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• 2019

The purpose of this study was to analyze landslide susceptibility in the Pyeongchang area using Weight of Evidence (WOE) and Evidential Belief Function (EBF) as probability models and Artificial Neural Networks (ANN) as a machine learning model in a geographic information system (GIS). This study examined the widespread shallow landslides triggered by heavy rainfall during Typhoon Ewiniar in 2006, which caused serious property damage and significant loss of life. For the landslide susceptibility mapping, 3,955 landslide occurrences were detected using aerial photographs, and environmental spatial data such as terrain, geology, soil, forest, and land use were collected and constructed in a spatial database. Seventeen factors that could affect landsliding were extracted from the spatial database. All landslides were randomly separated into two datasets, a training set (50%) and validation set (50%), to establish and validate the EBF, WOE, and ANN models. According to the validation results of the area under the curve (AUC) method, the accuracy was 74.73%, 75.03%, and 70.87% for WOE, EBF, and ANN, respectively. The EBF model had the highest accuracy. However, all models had predictive accuracy exceeding 70%, the level that is effective for landslide susceptibility mapping. These models can be applied to predict landslide susceptibility in an area where landslides have not occurred previously based on the relationships between landslide and environmental factors. This susceptibility map can help reduce landslide risk, provide guidance for policy and land use development, and save time and expense for landslide hazard prevention. In the future, more generalized models should be developed by applying landslide susceptibility mapping in various areas.

• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1283-1298
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• 2018

KOPRI(Korea Polar Research Institute) have researhed Arctic sea ice by using satellite remote sensing data since 2017 as a mission of KOPRI. The title of the reseach is "Development of Satellite Observation and Analysis for Arctc sea-ice". This project has three major aims; 1) development of prototype satellite data archive/manage system for Arctic sea ice monitoring, 2) development of sea ice remote sensing data processing and analysis technique, and 3) development of international satellite observing network for Arcitc. This reseach will give us that 1) deveolpment of sea ice observing system for northern sea route, 2) development of optimal remote sensing data processing technique for sea ice and selected satelite sensors, 3) development of international satellite onbservation network. I hope that this letter of introducton KOPRI satellite program for Arctic will help to understand Arctic remote sensing and will introduce you to step into the Arctic remote sensing, which Iis like a blue ocean of remote sensing.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.421-428
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• 2019

This study includes services that require six professional guides - health care, exhibition performance, restaurant, shopping, business and daily life - as well as a trip-based tour, along with solving existing problems that may occur on domestic and overseas trips, and proposes services that connect users with proven professional guides. As a result of previous research, the most needed services among overseas travel were air tickets, accommodation, transportation, and guides, but as Korea enters an aging society, professional guide services are expected to increase daily demand. Based on this, the service technology, user scenarios and brand development were presented. This Service Proposal provides users with a personalized guide to knowledge or experience that they have not previously known, providing them with a wealth of experience. In addition, guides can help develop new fields of expertise and help improve professional guides' capabilities. Finally, the platform service is meaningful in that it enables the creation of jobs by enabling everyone to engage in economic activities, as it allows users to provide services through their own capabilities while at the same time being convenient for them.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.235-247
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• 2021

The purpose of this study was to examine whether the motivation for visiting experiential tourism can be maximized by revitalization of domestic tourism according to tourist image and visit satisfaction. In order to achieve this purpose, the four factors of educational motive, experiential motive, cultural motive, and communion motive of experiential tourists who visited domestic experiential tourist destinations, as well as the image of tourist destination, and suggestions for revitalizing domestic tourism through visit satisfaction were proposed. Therefore, the implications of this study are as follows. First, theoretical significance can be found by establishing the concept of domestic experience tourists' visit motives, image of tourist destinations and results related to visit satisfaction in the COVID-19 according to this study. It suggests that it is an essential condition for promoting a new change in which tourists participate in experiential tourism motives in the era of the pandemic by providing experiential tourism programs that are tailored to the level of tourists through research on the image of tourist destinations and their satisfaction with their visit motives. are giving Second, in terms of experiential tourism programs operated by domestic experiential tourism companies, it should be possible to promote the image of a safe tourist destination utilizing the characteristics of untact services that can provide non-face-to-face services. In addition, in an environment where visits to experiential tourism activities are somewhat limited in the era of the pandemic corona, it will help to revitalize domestic tourism and the local economy by expanding the non-face-to-face service to discover and develop direct experience programs in the region.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.29-42
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• 2020

This study, we will identify and analyze the current status and trends of successful field trips and field experience learning in Korea to improve the future operation of the center so that the purpose of enhancing the regional economic ripple effect in Gyeongsangbuk-do and regaining its reputation as a school trip mecca and No. 1 location can be found. This study conducted qualitative research through FGI (Focus Group Interview) on accommodation managers, tourism-related stakeholders, tourism officials stakeholders, and tourism professors in order to explore new concepts of field trips and field experience learning in 23 cities and counties in Gyeongsangbuk-do, and ways to develop and promote tour programs based on the importance of experience. Through the FGI (Focus Group Interview) analysis results, problems related to improvement of accommodation, food and beverage, safety and service, cooperation among local tourism officials, enhancement of satisfaction with student group visitors linked to unique tourism resources and promotion, diagnosis and introduction of acceptance posture, and management of local residents, local tourism officials and public officials in Gyeongsangbuk-do needed to present the direction and opportunity of tourism policies in Gyeongsangbuk-do.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.224-235
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• 2022

This study aimed to confirm the status of media reports on space hazards using topic modeling analysis of media articles that are related to space hazards for the past 12 years. Therefore, Latent Dirichlet Allocation (LDA) analysis was performed by collecting over 1200 space hazards articles between 2010 and 2021 on solar storm, artificial space objects, and natural space objects from BIGKins news platform. The articles related to solar storm focused on three topics: the effect of solar explosion on satellites; effect of solar explosion on radio communication in Korea, centered on the Korean Space Weather Center; and relationship between aircrew and space radiation. The articles related to artificial space objects focused on three topics: the threat of space garbage to satellite and space stations and the transition of useful objects into space junk; the relationship between space garbage and humanity as shown in movies; and the effort of developed countries for tracking, monitoring, and disposing of space garbage. The articles related to natural space objects focused on two topics: International Space Agency's tracking and monitoring of near-Earth asteroids and the countermeasures of collisions, and the evolution and extinction of dinosaurs and mammals, with a focus on the collisions of asteroids or comets. Therefore, this study confirmed that domestic media play a role in conveying dangers of space hazards and arousing the attention of public using a total of eight themes in various fields such as society and culture, and derived education method and policy on space hazards.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.459-468
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• 2022

The outbreak of COVID-19 is facing a global crisis. Therefore, this study comprehensively reviews the risk perception, tourism attitude, and tourism intention of potential tourists in the COVID-19 situation. As a research finding, three factors were derived for tourism risk perception: physical risk, social risk, and performance risk. It is verified that social risk to be a significant factors affecting tourism attitude. Also, it proved that social risk, performance risk to be important factors affecting tourism intention. A t-test was conducted to examine the implications of demographic characteristics(gender, age, job) in the study. As a result of the analysis, it was found that potential tourists in their 20's age perceived social risk as more important than other age groups. In addition, potential tourists in their 20's showed more positive tourism attitudes than other age groups. As a result of analyzing differences according to job, it was found that the student group had higher social risk, tourism attitude, and tourism intention than other occupational groups. Based on the research results, it can help derive strategies to reduce tourists' perception of risk in special situations such as COVID-19 and contribute to academia.