• Smart Media Journal
• /
• v.13 no.2
• /
• pp.156-164
• /
• 2024

The Metaverse as a combination of physical and digital space, provides many consumers with a different process of search, evaluation, consumption, and disposal than before, based on hyper-connected and hyper-realistic services. Therefore, it is necessary to examine what kind of sensory experiences customers feel when performing various activities in the Metaverse and how these experiences affect customers' behavioral responses. This study measured the temporal and emotional experience of the Metaverse service environment felt during the Metaverse experience journey of customers experiencing medical tourism services. The results of the study showed that the emotional experience through Metaverse had a more positive impact on customer satisfaction and customer loyalty as the intensity of the Metaverse experience deepened. In particular, it was confirmed that the emotional experience at the end of the Metaverse service had a positive influence on repurchase behavior. These results show that, just as in the real world, customer experience in the Metaverse can provide important insight into understanding customers' post purchase behavior and how service providers can develop and implement effective customer experience strategies in the Metaverse environment.

• The Journal of the Acoustical Society of Korea
• /
• v.29 no.7
• /
• pp.411-421
• /
• 2010

A time-reversal mirror (TRM) is useful in diverse areas, such as reverberation ing, target echo enhancement and underwater communication. In underwater communication, the bit error rate has been improved significantly due to the increased signal-to-noise ratio by spatio-temporal focusing. This paper deals with two issues. First, the optimal number of array elements for a given environment was investigated based on the exploitation of spatial diversity. Second, an algorithm was developed to determine the optimal location of the given number of array elements. The formulation is based on a genetic algorithm maximizing the contrast between the foci and area of interest as an objective function. In addition, the developed algorithm was applied to the matched field processing with ocean experimental data for verification. The sea-going data and simulation showed almost 3 dB improvement in the output power at the foci when the array elements were optimally distributed.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.5
• /
• pp.143-153
• /
• 2024

This study aims to analyze both the current utilization of e-learning in the scuba diving education sector and the possible improvements by using Delphi analysis. The study administered three rounds of Delphi surveys with 25 specialists, including business executives and educational leaders from scuba diving centers and resorts affiliated with organizations that conduct scuba diving education through e-learning. The comparative analysis of the state of e-learning utilization and factors for improvement revealed significant insights. In terms of expected benefits, the analysis highlighted an increase in user convenience, temporal flexibility in learning activities, and easy access to products. However, it identified major issues such as the simplistic mandatory exams, inadequate professional depth in the feedback provided, and a lack of bidirectional communication between learners and instructors. Recommendations for improvements included enhancing communication through various online communities, conducting mandatory exams offline, and developing a variety of content. Conducting regular program quality evaluations, integrating with various diving communities, and assigning dedicated tutors were deemed crucial factors for future development.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.7
• /
• pp.311-318
• /
• 2024

As the amount of data increases due to the development of artificial intelligence and the Internet, data management is becoming increasingly important, and the efficient utilization of data retrieval and memory space is crucial. In this study, we investigate how to optimize search speed and memory efficiency by analyzing data structure based on metadata. As a research method, we compared and analyzed the performance of the array, association list, dictionary binary tree, and graph data structures using metadata of photographic images, focusing on temporal and space complexity. Through experimentation, it was confirmed that dictionary data structure performs best in collection speed and graph data structure performs best in search speed when dealing with large-scale image data. We expect the results of this paper to provide practical guidelines for selecting data structures to optimize search speed and memory efficiency for the images data.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.4
• /
• pp.627-637
• /
• 2024

This paper studies the Soundscape, a movement that seeks to break away from the traditional conventions of music culture. To this end, I will examine how social, cultural, and technological developments have influenced the paradigm shift in music culture by paying attention to the Soundscape. I understand the characteristics of the Soundscape as a change pattern and discuss the characteristics of hearing and listening experience that have been overlooked so far from a phenomenological perspective. For the above discussion, Murray Schafer's concept of Soundscape, and for a phenomenological understanding of hearing and listening experience, une spatialité de situation, point d'écoute, horizons au son, champ auditif, le premier plan et l'arrière-plan, temporal focus, space-time, and l'être-au-monde are discussed. I hope that understanding the characteristics of sound, hearing, and listening experience will contribute to presenting new ideas for creative expression in artistic creation.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• v.5 no.3
• /
• pp.76-85
• /
• 2024

The purpose of this study is to propose a new method of analysis focusing on interconnections between species rather than traditional biodiversity analysis, which represents ecosystems in terms of species and individual counts such as species diversity and species richness. This new approach aims to enhance our understanding of ecosystem networks. Utilizing data from the 4th National Natural Environment Survey (2014-2018), the following eight taxonomic groups were targeted for our study: herbaceous plants, woody plants, butterflies, Passeriformes birds, mammals, reptiles & amphibians, freshwater fishes, and benthonic macroinvertebrates. A co-occurrence frequency analysis was conducted using nationwide data collected over five years. As a result, in all eight taxonomic groups, the degree value represented by a linear regression trend line showed a slope of 0.8 and the weighted degree value showed an exponential nonlinear curve trend line with a coefficient of determination (R²) exceeding 0.95. The average value of the clustering coefficient was also around 0.8, reminiscent of well-known social phenomena. Creating a combination set from the species list grouped by temporal information such as survey date and spatial information such as coordinates or grids is an easy approach to discern species distributed regionally and locally. Particularly, grouping by species or taxonomic groups to produce data such as co-occurrence frequency between survey points could allow us to discover spatial similarities based on species present. This analysis could overcome limitations of species data. Since there are no restrictions on time or space, data collected over a short period in a small area and long-term national-scale data can be analyzed through appropriate grouping. The co-occurrence frequency analysis enables us to measure how many species are associated with a single species and the frequency of associations among each species, which will greatly help us understand ecosystems that seem too complex to comprehend. Such connectivity data and graphs generated by the co-occurrence frequency analysis of species are expected to provide a wealth of information and insights not only to researchers, but also to those who observe, manage, and live within ecosystems.

• Journal of the Korean Society for Marine Environment & Energy
• /
• v.13 no.4
• /
• pp.223-233
• /
• 2010

Spatio-temporal variations of long-term water qualities (COD, SS, $Chl-{\alpha}$, N-related nutrients (TN, TDN, $NO_3^-$, $NH_4^+$), P-related nutrients (TP, TDP, $PO_4^{3-}$)) at two stations (St. SD, St. GG) in the Geumgang Reservoir were investigated from August 2001 to July 2008. Statistical methods such as t-test, factor analysis, and multi-regression analysis were applied to the water quality data in the reservoir as well as mass balances on TP. From the temporal comparisons of the water qualities between 2002 and 2007, average concentrations of $NH_4^+$, $PO_4^{3-}$, and TDP gradually decreased down by 60%, 24%, 52% in 2007. However, those of TP and $Chl-{\alpha}$ increased to 99% and 423% during the period. From the spatial comparisons between the two stations, St. GG showed higher concentrations for all of the N- and P-related nutrients than in St. SD, while opposite result for the $Chl-{\alpha}$. The factor analysis showed that "the seasonal variations of N- and P-related nutrients" were the two dominant factors occupying 49% of total variances of water qualities. Based on this result, multi-regression analysis executed for the two most influential parameters (TP and $Chl-{\alpha}$) focusing on the seasonal variations of these parameters: SS and $Chl-{\alpha}$ has contributed decisively to the concentrations of TP during the wet and dry season, respectively. On the other hand, COD and TP has been important for the $Chl-{\alpha}$ during the wet and dry season, respectively. From the established mass balances of TP loadings in the Geumgang Reservoir, Other Sources (60%) occupied the greatest contribution and Fluvial Input (38%) and Sediment (1%) during the wet season. However, both Fluvial Water (48%) and Other Sources (47%) supplied comparable amount of inputs and Sediment (5%) showed significantly increased input during the dry seasons. Recently especially during the dry winter seasons, migrating bird's excretion was estimated to contribute up to 8% of total TP input and 21% of Other Sources.

• Korean Journal of Cognitive Science
• /
• v.29 no.2
• /
• pp.121-135
• /
• 2018

Dancers' motions are perceived by observers through visual processes with visual information forming the basis for the observers' appreciation and evaluation of the dancers' motions. There have been many discussions as to whether or not observers' personal athletic capabilities form an essential basis for accurate assessment of the motions of others but, so far, no valid conclusions have been reached. The purpose of this study is to investigate how the ability to predict motions of others varies depending on the athletic expertise of the observers. Participants of this research were ballet dancers of varying athletic expertise. Twenty seven participants were divided into three groups with nine in each: beginners, intermediate experts and experts. The participants watched the same dance video and then evaluated whether the motion would be successful or not. The movement related visual information required to evaluate the success of the motion was systematically adjusted by controlling the length of the video. Using the temporal occlusion method, this study measured the response accuracy of the participants by category of expertise. Under the circumstance with insufficient visual information to utilize, the experts showed higher rates of correct response than the intermediate experts and the beginners. The beginners showed higher rates of wrong response than the experts and the intermediate experts. These results showed that the ability to predict success or failure of a dance motion varied depending on motion expertise of the observers, although they had similar level of expertise in perception. Participants considered to have high athletic expertise showed high prediction ability on the result of the motion. In addition, high expertise in perception reduced the likelihood that participants would make hasty responses under the circumstance with insufficient information and helped to reduce wrong response rate. In conclusion, this study showed that motor expertise and perceptual expertise contribute to prediction accuracy of observed motions.

• Korean Journal of Ecology and Environment
• /
• v.56 no.2
• /
• pp.172-186
• /
• 2023

Small ponds, which exhibit unstable succession pattern of plankton community, are less well studied than large lakes. Recently, the importance of small ponds for local biodiversity conservation has highlighted the necessity of understanding the dynamics of biological community. In the present study, we collected zooplankton from three small reservoirs with monthly basis and analyzed their seasonal dynamics. To understand the complicated zooplankton community dynamics of small reservoirs, we categorized zooplankton species into four groups (LALF Group, Low Abundance Low Frequency; LAHF Group, Low Abundance High Frequency; HALF Group, High Abundance Low Frequency; HAHF Group, High Abundance High Frequency) based on their occurrence pattern (abundance and frequency). We compared the seasonal pattern of each group, and estimated community diversity based on temporal beta diversity contribution of each group. The result revealed that there is a relationship between groups with the same abundance but different occurrence frequencies, and copepod nauplii are common important component for both abundance and frequency. On the other hand, species included with LALF Group throughout the study period are key in terms of monthly succession and diversity. LALF Group includes Anuraeopsis fissa, Hexarthra mira and Lecane luna. However, groups containing species that only occur at certain times of the year and dominate the waterbody, HALF Group, hindered to temporal diversity. The results of this study suggest that the species-specific occurrence pattern is one key trait of species determining its contribution to total annual biodiversity of given community.

• Journal of the Korean association of regional geographers
• /
• v.22 no.3
• /
• pp.576-598
• /
• 2016

This paper is to reconsider some characteristics of philosophical discussion on alienation, especially focusing on Lefebvre's concept of alienation, and then to conceptualize a number of features of alienation in both industrial and postindustrial capitalist cities. The construction and development of modern city in industrial capitalism has brought about alienation from nature and from land(i.e. means of production), and in these contexts, has generated alienated labour of urban labourers, which has been deepened through development of modern technologies and divisions of labour. The transformation from industrial to postindustrial society can be seen not as alleviating but as further intensifying and expanding process of alienation. Urban alienation in postindustrial society has been spatially and temporally extended through processes of glocalization and of financialization with the development of credit system. It also has been widened to fields of consumption and leisure and to spheres of non-material production, and has get more deeply involved in capital circulation through built environment and landscape(or spectacles) of cities. Finally this paper is to re-examine briefly theoretical discussions on dealienation in order to conceptualize the just city for dealienation of labour and of urban space, in particular considering the concept of 'the right to the city' as practical strategy of urban dealienation, and to suggest further three kinds of justice for the just city, that is, justice for distribution, for production and for recognition.