• Journal of Korea Game Society
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• v.17 no.4
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• pp.55-62
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• 2017

In this study, motion simulation of Walk-through was evaluated with HMD(Head Mounted Display). More Specifically, we examined the changes of the degree of object density placed around virtual space on psychological moving distance, moving speed, and moving time. The results were as follows. First, the difference between the experimental conditions(low density, Medium density, High density) was significant. Second, as the density of the surrounding objects increased, the average point of moving time, moving speed, and moving distance rose compared to the basic conditions. Third, it was found that the surrounding objects improved the sense of time, speed and distance in motion simulation in virtual space.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.10a
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• pp.146-154
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• 2004

In this study, numerical analysis has been performed to investigate the flow characteristics of a drag improvement device which is designed to achieve accurate impact point. The drag increase due to drag improvement device has been analyzed. And the effect of spread angle and location of drag improvement device has also been investigated. The drag improvement device with 20 degree spread angle increased the drag 3.5 times. The corresponding weight of the device is found out to be 26g.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.465-473
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• 2021

The main aim of this research paper is to identify the factors that influence smartphone purchase intention in the Nepalese market. The study identifies how the brand personality, attribute factors, and the price factor influence the purchase intention of a smartphone. The paper puts the emphasis on how the consumer preference functions in the selection of the smartphone and which factor plays the more significant role in smartphone purchase intention. This research paper has used primary data and a 7-point Likert scale survey questionnaire. The primary data has been collected through a structured survey questionnaire by using convenient sampling technique from 294 smartphone users in the Kathmandu Valley. Descriptive statistics, Correlation Analysis and Structural Equation Modeling (SEM) have been carried out to analyze the primary data using the SPSS AMOS 24. Brand personality, attribute factor, and product price were taken as independent variables to identify the impact on purchase intention. The result of the regression path analysis showed that brand personality has no significant effect on purchase intention in the purchasing of smartphone. It is also found that the product attributes and product price have a significant influence on consumer purchase intention of a smartphone in Nepal.

• 대한상한금궤의학회지
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• v.13 no.1
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• pp.133-144
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• 2021

Objective : This study aimed to report the improvement of two patients with headache not otherwise classified treated using Saengkangsasim-tang based on the disease pattern identification diagnostic system (DPIDS) based on the Shanghanlun provisions. Methods : Two patients with headache not otherwise classified were treated using Saengkangsasim-tang according to Shanghanlun provisions, and the effect was also compared with Soshiho-tang. The results were evaluated using a numerical rating scale (NRS) and the Korea Headache Impact Test-6 (KHIT-6). In addition, new clinical implications for the interpretation of Shanghanlun provision 157 were reviewed. Results : As a result of analyzing the results of the two cases, treatment with Sosiho-tang was ineffective but improved when using Saengkangsasim-tang. After administration of Saengkangsasim-tang, all headaches decreased to the point where they were not uncomfortable in everyday life. Conclusions : The administration of Saengkangsasim-tang to patients with headache diagnosed according to Shanghanlun provision 157, suggesting that it is clinically effective when applied according to the definitions provided by the Shanghanlun provisions.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.15-22
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• 2022

The Tactile Internet technology is considered as the evolution of the internet of things. It will enable real time applications in all fields like remote surgery. It requires extra low latency which must not exceed 1ms, high availability, reliability and strong security system. Since it appearance in 2014, tremendous efforts have been made to ensure authentication between sensors, actuators and servers to secure many applications such as remote surgery. This human to machine relationship is very critical due to its dependence of the human live, the communication between the surgeon who performs the remote surgery and the robot arms, as a tactile internet actor, should be fully and end to end protected during the surgery. Thus, a secure mutual user authentication framework has to be implemented in order to ensure security without influencing latency. The existing methods of authentication require server to stock and exchange data between the tactile internet entities, which does not only make the proposed systems vulnerables to the SPOF (Single Point of Failure), but also impact negatively on the latency time. To address these issues, we propose a lightweight authentication protocol for remote surgery in a Tactile Internet environment, which is composed of a decentralized blockchain and physically unclonable functions. Finally, performances evaluation illustrate that our proposed solution ensures security, latency and reliability.

• Asia Marketing Journal
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• v.17 no.2
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• pp.73-96
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• 2015

This paper investigates how servicescape perception influences customer experience quality in hedonic service settings. In addition to the direct effect of servicescape quality on customer experience quality, the indirect effects of servicescape quality on customer experience quality via employee-to-customer interaction quality and peer-to-peer interaction quality are also investigated. We collected data through a self-administered survey. The proposed relationships were tested using structural equation modeling. The results show that servicescape quality influences customer experience quality both directly and indirectly through employee-to-customer interaction quality and peer-to-peer interaction quality, and customer experience quality influences customer loyalty. Additionally, we find that the indirect path via peer-to-peer interaction quality is significant only in a low-satisfaction customer group. The indirect effect of servicescape quality perception through peer-to-peer interaction quality is significant only in low-satisfaction customer groups. Therefore, if evaluations for this indirect effect fall below an acceptable level, it should be addressed first before improving on other attributes. However, after this point, further improvements offer few if any gains; therefore, service firms should allocate their resources to quality improvements to other factors. This study is the first to investigate the indirect effects of servicescape quality on customer experience quality via peer-to-peer interaction quality in hedonic service settings. Additionally, this study demonstrates that the significance of this indirect effect applies only to a low-satisfaction customer group.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.213-218
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• 2022

The study's goal is to determine how factors affecting tourism resilience during the COVID-19 pandemic affect Ho Chi Minh Tourism's ability to respond to changes and disruptions. The model and research hypotheses were tested using Multiple Regression Analysis Models. The statistical findings showed that the tourism resilience components have a significant influence on the tourism resilience in Ho Chi Minh city. The analyses revealed that tourism resilience consisted of four latent dimensions. There are 4 explanatory variables with a significance coefficient < 0.05. Therefore, the variables Economic resilience, Ecological resilience, Institutional resilience, and Social resilience all have a significant impact on tourist resilience, which is consistent with Jamaliah and Powell (2017). The findings have important managerial implications for local governments, as well as factors that contribute to tourism resilience, as they must attempt to adapt to changes and turbulences during a pandemic, ensuring that the tourism system rebounds in the future. The four components of tourist resilience are defined in the theoretical contribution. The findings of the study could serve as a starting point for developing future tourist resilience strategies. Because the application of tourist resilience theory is still relatively new, this study presents two theoretical and methodological contributions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1868-1887
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• 2024

Recommendation systems research is a subfield of information retrieval, as these systems recommend appropriate items to users during their visits. Appropriate recommendation results will help users save time searching while increasing productivity at work, travel, or shopping. The problem becomes more difficult when the items are geographical locations on the ground, as they are associated with a wealth of contextual information, such as geographical location, opening time, and sequence of related locations. Furthermore, on social networking platforms that allow users to check in or express interest when visiting a specific location, their friends receive this signal by spreading the word on that online social network. Consideration should be given to relationship data extracted from online social networking platforms, as well as their impact on the geolocation recommendation process. In this study, we compare the similarity of geographic locations based on their distance on the ground and their correlation with users who have checked in at those locations. When calculating feature embeddings for users and locations, social relationships are also considered as attention signals. The similarity value between location and correlation between users will be exploited in the overall architecture of the recommendation model, which will employ graph convolution networks to generate recommendations with high precision and recall. The proposed model is implemented and executed on popular datasets, then compared to baseline models to assess its overall effectiveness.

• Explosives and Blasting
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• v.33 no.2
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• pp.25-39
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• 2015

The common underwater rock removal methods involve underwater blasting and crane's chisel dropping impact method. From an environmental point of view, these methods cause ground vibrations and underwater noise. At the site for this study, a method of dropping heavyweight chisel is selected to remove the underwater bedrock near the ferry rack in the course of improving the cargo handling ability of the loading dock. A prediction formula for the vibration was obtained based on the measurement and evaluation of the vibrations caused by the chisel dropping impacts during the test droppings. The prediction formula was successfully applied to the main construction for securing the stability of the structure.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2017.05a
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• pp.1153-1155
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• 2017

The Launch Vehicle is made up of one system with several parts gathered together. In order to make the various parts developed in various organizations into one system, it is necessary to confirm all designs at certain point in time. Change after the design fix require controlled process to analyze the impact of the changes, to decide whether or not to make the change, and to verify that the change was implemented as intended. The configuration management procedure implemented in the above manner is also applied to the development process of KSLV-II. The CAD tool and PLM are linked with each other to perform configuration management for the 3D model, 2D drawing, and the configuration identification document.