• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.334-345
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• 2024

With the advent of Metaverse, a promising new era for business on virtual reality (VR) platforms has dawned. In this rapidly expanding Metaverse platform, the potential for virtual fashion marketing through avatars is vast, with leading fashion brands already making strides by creating virtual fashion stores or hosting virtual fashion shows. However, the research on fashion-related industries in this newly emerging virtual world platform is still in its infancy. This study sought to identify the relationship between the characteristics of the Metaverse and the factors that influence how the perceived value of virtual fashion products affects purchase intention. A survey was conducted with three hundred Korean respondents, and the hypothesis was verified through analysis using the SPSS statistical program. Our analysis revealed that the sense of presence significantly influences the value of fashion products on the Metaverse platform. As a result, the sense of presence significantly influenced the emotional, visual authority, and economic value of the avatar virtual fashion perceived by users. Second, enjoyment, visual authority, and economic value influence users' intention to purchase virtual fashion items. In addition, all of these perceived value factors were confirmed to have a significant partial mediating effect on the impact of the presence of the Metaverse platform on the purchase intention. Through this study, we empirically analyzed the causal relationship between the characteristics of the Metaverse platform and the virtual fashion experience using avatars - a topic that has yet to be covered. We formed new insights into virtual fashion consumption, providing primary data for related research streams. Our survey respondents consisted only of those with recent Metaverse experience, so the research results were highly effective.

• Journal of Korean Society of Transportation
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• v.17 no.4
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• pp.111-124
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• 1999

The Purpose of this thesis is to develop a vehicle classification algorithm using single Magnetometer detector during presence time of vehicle detection and is to examine a held application from field test. We collected data using Magnetometer detector on freeway and used digital data to change voltage values according to magnetic flux density in analysis. We collected these datum during the presence time and then obtained characteristics from wave form in these datum. Based on these characteristics, We used the following three methods for this a1gorithm :1. Template Matching Method,2. Neural Network Method using Back-propagation Algorithm 3. Complex Method using changed slope points and mixing method 1, 2. Of course, Before processing of over three methods, These data were processed normalizing by 20, 40 of size in only X axis and moving average by 0, 3, 4, 5 of size. Vehicle classification were Processed in three steps ; 2, 3, 5 types classification. In 2 types vehicle classification, recognition rate is 83% by template matching method.

• Atmosphere
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• v.21 no.3
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• pp.285-300
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• 2011

To discriminate and eliminate chaff echoes in radar measurements, a new removal algorithm in two-dimensional reflectivity composite at the height of 1.5 km has been developed by using the brightness temperature($T_B$) obtained from MTSAT-1R. This algorithm utilizes the fact that chaffs are not appeared in infrared satellite data of MTSAT-1R, but detected in radar measurements due to their significant backscattering in the given radar wavelength. The algorithm is evaluated for three different situations: chaff only, chaff mixed with convective storms, and chaff covered with clouds. The algorithm shows excellent performance for the cases of chaff only and chaff mixed with convective storms. However, the performance of the algorithm significantly depends on the presence of clouds. Thus, the statistical analysis of $T_B$ is performed in order to optimize the monthly threshold.

• Nuclear Medicine and Molecular Imaging
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• v.40 no.3
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• pp.141-147
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• 2006

PET detects only less than 50% of early gastric cancer and 62-98% of advanced gastric cancer. Therefore, mass screening programs are recommended for all adults over the age of 40 for early detection and early treatment of gastric cancer through endoscopy or various radiological tests. The most important step after being diagnosed with gastric cancer is accurate staging, which mainly evaluates tumor resectability to avoid unnecessary surgery. Important factors that affect tumor resectability are whether the tumor can be separated from adjacent organs or important blood vessels, the extent of lymph node metastasis, presence of peritoneal metastasis, or distant organ metastasis. To evaluate the extent of local tumor invasion, anatomical imaging that has superior spatial resolution is essential. There are a few studies on prognostic significance of FDG uptake with inconsistent results between them. In spite of lower sensitivities for lymph node staging, the specificities of CT and PET are very high, and the specificity for PET tends to be higher than that for CT. Limited data published so far show that PET seems less useful in the detection of lung and bone metastasis. In the evaluation of pleural or peritoneal metastasis, PET seems very specific but insensitive as well. When FDG uptake of the primary tumor is low, the distant metastasis is also known to show low FDG uptake reducing its detection. There are only a few data available in the evaluation of recurrence detection and treatment response using FDG PET.

• Mycobiology
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• v.32 no.3
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• pp.123-127
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• 2004

Sweet persimmons have been increasingly cultivated in the southern part of Korea. However, anthracnose disease caused by Colletotrichum species is one of the major hindrances in cultivation and productions. In this study, we used polymerase chain reaction(PCR) to detect Colletotrichum species with the AFLP(amplified fragment length polymorphism) method. In AFLP, we used E3(5'-GACTGCGTACCAATTCTA-3') and M1(5'-GATGAGTCCTGAGTAACAG-3') primer combination and, as a result, 262 bp segment was observed in Colletotrichum species only. Specific PCR primers were designed from the sequence data and used to detect the presence of the fungus in genomic DNA isolated from symptomless sweet persimmon plants. Based on sequence data for specific segments, Co.B1(5'-GAGAGAGTAGAATTGCGCTG-3') and Co.B2(5'-CTACCATTCTTCTA GGTGGG-3') were designed to detect Colletotrichum species. The 220 bp segment was observed in Colletotrichum species only, but not in other fungal and bacterial isolates.

• Wind and Structures
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• v.16 no.2
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• pp.157-178
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• 2013

Output-only modal parameter identification is based on the assumption that external forces on a linear structure are white noise. However, harmonic excitations are also often present in real structural vibrations. In particular, it has been realized that the use of forced acceleration responses without knowledge of external forces can pose a problem in the modal parameter identification, because an external force is imparted to its impulse acceleration response function. This paper provides a three-stage identification procedure as a solution to the problem of harmonic and white noise excitations in the acceleration responses of a linear dynamic system. This procedure combines the uses of the mode indicator function, the complex mode indication function, the enhanced frequency response function, an iterative rational fraction polynomial method and mode shape inspection for the correlation-related functions of the force-embedded acceleration responses. The procedure is verified via numerical simulation of a five-floor shear building and a two-dimensional frame and also applied to ambient vibration data of a large-span roof structure. Results show that the modal parameters of these dynamic systems can be satisfactorily identified under the requirement of wide separation between vibration modes and harmonic excitations.

• The Journal of Industrial Distribution & Business
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• v.13 no.11
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• pp.47-64
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• 2022

Purpose: This study's goal is to investigate how perceived risk of Japanese electronic product affect the negative emotion and the avoidance intentions. In addition, this is difference in the effect of perceived risk on negative emotions and avoidance intentions according to the presence or absence of substitutes. Research design, data and methodology: Perceived risks of Japan products are decided by four dimensions, they are economic risk, social risk, psychological risk and physical risk. The reach model is made by the theory of risk-avoid. We requested this survey to 5808 customers by panel and web site, received 559 replied. We used 528 questionnaires excluding unreliable data. For the analysis, smart PLS is used. Results: Psychological risk has influence on negative emotion and avoidance intension. Social risk and physical risk affected negative emotion, but did not directly affect avoidance intention. Economic risk affects avoidance intension, but it has no effect of negative emotion. The existence of Japanese products' substitute only effects the relationship of economic risk and avoidance intention. Conclusions: Korean consumers behavior their buying and using of Japan product as financial benefit and satisfaction, not only risk. It is suggested that Korean company should make and develop unique product with good price.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.163-174
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• 2008

The conventional four-step travel demand model is still widely used as the state-of-practice in most transportation planning agencies even though it does not provide reliable estimates of travel demand. In order to improve the accuracy of travel demand estimation, implementing an alternative approach would be critical as much as acquiring reliable socioeconomic and travel data. Recently, the role of travel demand model is diverse to satisfy the needs of microscopic analysis regarding various policies of travel demand management and traffic operations. In this context, the activity-based approach for travel demand estimation is introduced and a case study of developing a spatial-temporal activity presence-based approach that estimates travel demand through forecasting number of people present at certain place and time is accomplished. Results show that the spatial-temporal activity presence-based approach provides reliable estimates of both number of people present and trips actually people made. It is expected that the proposed approach will provide better estimates and be used in not only long-term transport plans but short-term transport impact studies with respect to various transport policies. Finally, in order to introduce the spatial-temporal activity presence-based approach, the data such as activity-based travel diary and land use based on geographic information system are essential.

• Korean Journal of Child Studies
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• v.26 no.5
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• pp.59-72
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• 2005

This study used secondary data of the Illinois Subsidized Guardianship Waiver Demonstration, Chicago Public Schools and administrative data of the Illinois Department of Child and Family Services. Multiple regression analysis was the main statistical method. Results revealed a positive effect of foster parents' expectations on educational achievement of foster children without disabilities. Among types of educational involvement, 'direct educational activities' showed a positive effect on math and 'supervision reported by children' showed a positive effect on reading achievement. Among indices of the quality of relationship: the presence of kinship ties, permanence achievement, and level of affection between foster parents and children, only level of affection had a significant positive association with both math and reading achievement.

• Journal of Power System Engineering
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• v.7 no.1
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• pp.74-81
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• 2003

A system identification is to estimate the mathematical model on the base of input output data and to measure the output in the presence of adequate input for the controlled system. In the traditional system control field, most identification problems have been thought as estimating the unknown modeling parameters on the assumption that the model structures are fixed. In the system identification, it is possible to estimate the true parameter values by the adjusted least squares method in the input output case of no observed noise, and it is possible to estimate the true parameter values by the total least squares method in the input output case with the observed noise. We suggest the adjusted least squares method as a consistent estimation method in the system identification in the case where there is observed noise only in the output. In this paper the adjusted least squares method has been developed from the least squares method and the efficiency of the estimating results was confirmed by the generating data with the computer simulations.