• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.296-301
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• 2019

Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

• Journal of Digital Convergence
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• v.19 no.7
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• pp.87-94
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• 2021

The purpose of this study is to categorize tourists according to the types of Korean popular culture as travel motives and to explore their characteristics and behavior in the tourism-related decision-making process. A sample of 12,914 leisure tourists from the 2018 foreign tourist survey data was analyzed using MNL and ANOVA. The popular cultural tourists were categorized into K-food, K-fashion, and K-pop groups. They showed a higher percentage of female tourists, social media usage in the tourism information search, and visits from countries geographically close to Korea. K-pop tourists did not hesitate to choose Korea as the destination and visited Korea the most frequently. They showed the highest satisfaction, revisit intention and recommendation intention, suggesting loyalty and growth potential.

• Knowledge Management Research
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• v.23 no.1
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• pp.133-148
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• 2022

In an ever-changing tourism environment, we need to think about how to successfully attract tourists and provide them with memorable experiences. Smart tourism content is considered as a useful tourism resource for converting into an attractive tourist destination by providing new values in various tourist destinations as well as the changed tourism patterns due to COVID-19. However, there are still few successful cases of smart tourism contents that have secured economic sustainability. Accordingly, this study applied the Contingent Valuation Method (CVM) to estimate the economic value perceived by tourists for smart tourism contents based on augmented reality to develop a smart tourism content development plan that can secure economic sustainability. As a results, it was confirmed that the lower the offered amount, the higher the awareness of the new value, the higher the likelihood of willingness to pay. Based on these research results, this study presented academic and practical implications for the development of smart tourism content that secured economic sustainability.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1183-1188
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• 2009

Estimating project costs during the early stage of conceptual planning is very important when deciding whether to approve the project and allocate an appropriate budget. However, due to greater uncertainties involved in a project, it is challenging to estimate costs during this initial stage within a reasonable tolerance. This paper attempts to develop a cost-estimate model for public road projects under these circumstances and limitations. In the conceptual planning stage of a road project, there is only limited information for cost estimation, for example, such input data as total length of the route, origin and destination, number of lanes, general geographic characteristics of the route, and other basic attributes. This implies that the model should individuate suitable but restricted information without considering detailed features such as quantity of earthwork and a detailed route of a given condition. With these limited facts, this paper applies a case-based reasoning (CBR) method to solve a new problem by deriving similar past problems, which in turn is used to estimate the cost of a given project based on best-fitted previous cases. To develop a CBR cost-estimate model, the authors classified 8 representative variables, including project type, the number of lanes, total length, road design grades, etc. Then, we developed the CBR model, primarily by using 180 actual cases of public road projects, procured over the last decade. With the CBR model, it was found that the degree of error in estimation can be reasonably reduced, to below approximately 30% compared to the final costs estimated upon the completion of detailed design.

• Korea Science and Art Forum
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• v.23
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• pp.17-26
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• 2016

This study was to segment The 2014 Korean Medicine-Bio Fair visitors based on fair quality factors. From the on-site survey at the destination, a total of 308 useful sample were collected and analyzed in SPSS 21.0. From factor analysis, the result shows 5 quality types of 'fair product', 'convenient facilities', 'accessibility', 'promotional information' and 'contents.' Also Three different segmented groups were derived form clusters analysis, which are 'accessibility preference group', 'promotion preference group', and 'high quality preference group.' The result of this study indicated that there were significant differences in demographic, satisfaction and behavioral variables between these three segments. More theoretical and practical implication were discussed in the conclusion section.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.257-271
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• 2024

Purpose - This study examined the relationship between local attachment, prior knowledge and involvement in the festival, and local image, attitudes toward and support for the festival among people who have visited the Incheon Pentaport Music Festival, the largest music festival in Korea. Design/methodology/approach - A total of 250 samples were used for the final analysis, and SPSS 26.0 and AMOS 21.0 were used to analyze the data. The structural equation model analysis was conducted to test the hypotheses of this study. Findings - As a result of the analysis, first, only local attachment was found to have a positive and significant effect on local image. On the other hand, prior knowledge or involvement in the Incheon Pentaport Music Festival was found to be unrelated to local image. Second, local attachment and involvement were found to have a significant effect on attitude, but prior knowledge was not significant. Last, this paper examined the influence of festival area image and attitude toward the festival on festival support, and found that both have a positive and significant effect on support. Research implications or Originality - This study expands the scope of research on music festivals and is expected to contribute to tourist attraction and marketing strategies for the revitalization of music festivals in the future.

• The Transactions of the Korea Information Processing Society
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• v.5 no.6
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• pp.1610-1619
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• 1998

The ABR service class provides feedback based traffic control to transport bursty data traffic efficiently. Feedback based congestion control has first been studied to be applied to unicast connections. Recently. several congestion control algorithms for multicast connections have also been proposed as the number of ABR applications requiring multicast increases. With feedback based congestion control, the effectiveness of a traffic control scheme diminishes as propagation delay increases. Especially for a multicast connection, a remote destination may suffer unfair service compared to a local destination due to the delayed feedback. Amelioration of the disadvantages caused by feedback delay is therefore more important for remote destinations in multicast connections. This paper proposes a new switch behavior to provide effective feedback based mathc control for rentoh destinations. The proposed switches adjust the service rate dynamically in accordance woth the state of the downstream, that is, the congestion of the destinaion is immediately controlled by the nearest apstream switch before the source to ramp down the transmission rate of the connection. The proposed switch has an implementation overhead to have a separate buffer for each VC to adjust the service rate in accordance with a backward Rm cell of each VC. The buffer requirement id also increased at intermediate switches. Simulation results show that the proposed switch reduces the cell loss rate in both the local and the remote destinations and slso amelioratd the between the two destinations.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.261-268
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• 2022

This study tried to understand the meaning of resource attraction, entertainment experience, love mark, and attachment of tourist destinations. A theoretical study was conducted on each research concept to achieve the proposed research purpose. Based on this, an empirical study was conducted after deriving a questionnaire based on this, and a non-face-to-face survey was conducted nationwide using population-proportional sampling. The empirical study was confirmed through the statistical programs SPSS25.0 and AMOS25.0. The resource attractiveness of the tourist destination had a positive (+) relationship with the influence on the tourists' experience. The relationship between the experience and the love mark had a positive (+) relationship. A positive (+) relationship was also formed in the relationship between experience and attachment. However, the relationship between love mark and attachment did not form a significant relationship.Because it reflects regional characteristics, it is a useful material for local culture and history, so protection, preservation, and active program development are required. is needed.

• Journal of Korean Society for Geospatial Information Science
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• v.9 no.2 s.18
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• pp.29-36
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• 2001

The purpose of this paper is to describe the Disaster Management System Development of Enterprise GIS at the Kangwon Province in Korea. This project is included into 'the Kangwon Enterprise GIS 21 plan'. The Division of Disaster Management is in the middle of the 2-year project of the Disaster Management System development, appropriate for business performed at the Departments of Forestry, Culture, Environment, Tourism, etc. At the 1st phase of CIS implementation, for more than half a year we focused on the necessity of management of disasters. In the planning process, we needed long-term information on the whole area of Kangwon. In the assessment and response processes, we needed real-time data from Korean Meteorological Administration and other agencies. All the above information was carefully studied and referred to. ESRI's new GIS technologies solve the natural hazard/disaster problems. For example, hazardous materials routing often needs to be found the least expensive path through a roadway network. In the circumstances given, we can choose the departure point and destination of the vehicle, which carries the materials. It's also possible to minimize overall risk and costs of disaster problems by making a plan of people and possessions evacuation from the disaster area in short time limits. We can meet all the above goals using the latest ESRI's technologies.

• Journal of KIISE:Information Networking
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• v.30 no.5
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• pp.581-594
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• 2003

Recently, a location management is being more important in mobile communication systems due to an explosive increase of mobile users. Current systems have used a concept of location area. Based on this concept, a mobile user performs a location update whenever it moves into a new location area. However, this scheme can not avoid unnecessary location updates when a mobile user moves around with high movement rate as compared to call arrival rate. That results in tremendous location management cost. To overcome this drawback, our proposal divides service areas into two sets: One is a set of areas that mobile users move with high speed and another is a set of areas that they move with low speed. After establishing these two sets, this paper employs different location tracking schemes for each sets. Generally, most mobile users with high speed have a low CMR and a regular direction until they arrive at their destination. Using such the moving behavior, systems can predict a mobile user's next location area in advance. When the mobile user moves into the predicted location, our proposal does not perform a location update. Thus, it can reduce overall location management cost. The Markov model is used to analyze the performance of our proposal. Using the model, this paper compares our proposal with IS-41 and TLA. The analytic results show that as CMR grows lower, an overall cost of our proposal becomes less, particularly if a mobile user frequently moves into the specific location are predicted by mobile systems. Also, our proposal has a better performance than other two schemes when the communication cost between HLR and VLR is high.