• Journal of Korea Multimedia Society
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• v.24 no.11
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• pp.1552-1559
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• 2021

Convolution neural networks (CNNs) show notable performance in image processing and are used as representative core models. CNNs extract and learn features from large amounts of train dataset. In general, it has a structure in which a convolution layer and a fully connected layer are stacked. The core of CNN is the convolution layer. The size of the kernel used for feature extraction and the number that affect the depth of the feature map determine the amount of weight parameters of the CNN that can be learned. These parameters are the main causes of increasing the computational complexity and memory usage of the entire neural network. The most computationally expensive components in CNNs are fully connected and spatial convolution computations. In this paper, we propose a Fourier Convolution Neural Network that performs the operation of the convolution layer in the Fourier domain. We work on modifying and improving the amount of computation by applying the fast fourier transform method. Using the MNIST dataset, the performance was similar to that of the general CNN in terms of accuracy. In terms of operation speed, 7.2% faster operation speed was achieved. An average of 19% faster speed was achieved in experiments using 1024x1024 images and various sizes of kernels.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.4003-4013
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• 2021

During the long-term cooling (LTC) phase of a loss-of-coolant accident (LOCA) in a pressurized water reactor (PWR), water is supplied from the containment sump to the reactor coolant system (RCS) by the flooded sump water to the Reactor Vessel (RV) through the broken pipes. As part of the technical efforts for resolving GSI-191 [( Reid and Crytzer, May. 2007) 1, consideration is needed for the consequences of debris penetrating the sump screen and propagating downstream into the RV. Injection of debris (fiberglass) into the RV during the LTC recirculation phase needs special attention to assure that reactor core cooling is maintained. The point of concern is the potential for debris to adversely affect the reactor core flow paths or heat transfer [2]. However, all the experiments for proving the coolability of RV have been done with the assumption of the most of debris would be transferred to the RV and the bottom nozzle of the FAs. The purpose of the tests is to quantify the amount of the debris that would be accumulated at the lower plenum and the debris that passes through the FAs since non-conservatism of other researches assumptions that have been used in the past experimental or analytical programs.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.4014-4021
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• 2021

If safety injection systems (SISs) do not work in the event of a loss-of-coolant accident (LOCA), the accident can progress to a severe accident in which the reactor core is exposed and the reactor vessel fails. Therefore, it is considered that a technology that provides recoverable maximum time for SIS actuation is necessary to prevent this progression. In this study, the corresponding time was defined as the golden time. To achieve the objective of accurately predicting the golden time, the prediction was performed using the deep fuzzy neural network (DFNN) with rule-dropout. The DFNN with rule-dropout has an architecture in which many of the fuzzy neural networks (FNNs) are connected and is a method in which the fuzzy rule numbers, which are directly related to the number of nodes in the FNN that affect inference performance, are properly adjusted by a genetic algorithm. The golden time prediction performance of the DFNN model with rule-dropout was better than that of the support vector regression model. By using the prediction result through the proposed DFNN with rule-dropout, it is expected to prevent the aggravation of the accidents by providing the maximum remaining time for SIS recovery, which failed in the LOCA situation.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.1
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• pp.37-49
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• 2024

This study confirmed the relationship between variables developed by qualitative ground theory through quantitative research. The purpose of the study is to explain the effect of core sales tasks on sales services and the mediating effect of organizational member relationships on sales services. The data were collected through a survey of fashion brand salespeople in Gwangju from September to October 2020 with data from 235 responses analyzed using SPSS 27.0 and AMOS 26.0. The validity of the research model verified the confirmatory factor analysis and the research hypothesis was verified through path analysis and multi-mediated analysis of the structural model. The research results were as follows. First, sales management did not directly affect sales services, and customer management affected sales services. Second, a meaningful causal relationship was shown to exist between organizational member relationships and sales management, but organizational member relationships and customer management did not have a significant relationship. Third, the total and individual indirect effects of headquarters relations, colleague relations, and customer management were all statistically significant.

• Nuclear Engineering and Technology
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• v.56 no.7
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• pp.2458-2473
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• 2024

The turbulent flow in reactor pressure vessel (RPV) of pressurized water reactor (PWR) is important for the flow rate distribution at core inlet. Thus, it is vital to study the turbulent flow phenomena in RPV. However, the complicated fluid channel consisted of inner structures of RPV will block or refract the laser sheet of particle image velocimetry (PIV). In this work, the matched index of refraction (MIR) of sodium iodide (NaI) solution and acrylic was applied to support optical path for flow field measurements by PIV in the 1/10th scaled-down RPV model. The experimental results show detailed velocity field at different locations inside the scaled-down RPV model. Some interesting phenomena are obtained, including the non-negligible counterflow at the corner of nozzle edge, the high downward flowing stream in downcomer, large vortices above vortex suppression plate in lower plenum. And the intensity of counterflow and the strength of vortices increase as inlet flow rate increasing. Finally, the case of asymmetry flow was also studied. The turbulent flow has different pattern compared with the case of symmetrical inlet flow rate, which may affect the uniformity of flow distribution at the core inlet.

• Journal of Web Engineering
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• v.21 no.6
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• pp.1767-1792
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• 2022

Blockchain, which is spotlighted as one of the core technologies in the Web 3.0 era, is being used as a tool for high security and decentralization. In addition, blockchain has been positioned as a core technology for services such as cryptocurrency, NFT, De-Fi, and metaverse, and has already provided high-quality services. In particular, cryptocurrency has shown rapid growth and has been receiving worldwide attention. Cryptocurrency is a web technology and has the property that it can be an investment target, and it is expected to develop further in the future. In this research, we analyzed factors influencing the intention to use cryptocurrency and structural causalities among the factors. We considered personal characteristics, characteristics of cryptocurrency itself, and social characteristic, and a research model has been established for an empirical study. In addition, a multi-group analysis was performed to identify differences between users and non-users. As a result of the analysis, it was found that some of the personal characteristics and cryptocurrency characteristics affect the intention to use. And in the case of non-users, it was found that not only personal and cryptocurrency characteristics, but also social characteristic influence their intention to use. The results of this research are expected to provide implications for cryptocurrency service providers and users, as well as institutions that establish related policies.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.99-106
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• 2015

The biggest change in modern society because we will transition to a ubiquitous environment. Changes in the environment has become a crucial instrument that finally opens the era of convergence management through integrating the various fields in their own business. The desire of consumers to new innovative products appears to be a constant thing companies are constantly trying to respond to these changes, there may not be a problem for the convergence of sustainability management company in the end. In this study, based on the convergence of corporate management need to be a fusion component of corporate management to examine whether any impact on the quality of innovation. Results showed that the fusion management components that affect both internal factors and external factors, core factors quality improvement. Internal factors detailed in the convergence management leadership, risk management factors showed a positive external factors affecting appeared to affect positively the knowledge-sharing factors, infrastructure factors. Finally, core factor is technology factors, educational learning factors showed a positive impact. This results suggest that be a big impact factors of competitiveness of enterprises through convergence management in the future and will serve as the strategic basis for the convergence of future corporate management.

• Cartoon and Animation Studies
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• s.39
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• pp.393-412
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• 2015

See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.

• Human Ecology Research
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• v.54 no.5
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• pp.529-539
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• 2016

This study confirmed shopping behavior of Korean young overseas tourists and its effect on travel evaluation. I first identified core factors of travel activity preference, travel shopping propensity, and shopping products. The effect of shopping product satisfaction on tour satisfaction and post-tour intention was then investigated. Based on travel activities, tourists were grouped, and their characteristics were compared. An online survey method was performed to obtain data of 20's-30's Korean unmarried people, while factor analysis, regression analysis, chi-square test, analysis of variance (ANOVA), and cluster analysis were applied to analyze data. The results were as follows. First, six travel activities (city life, art/shopping, cultural experience, entertainment, field experience, and friendship), three shopping propensity (novelty/uniqueness, utility, and prestige), and four product groups (fashion goods, household goods, crafts, and foods) were found by factor analyses. Second, travel activity tended to influence shopping propensity, which then influenced shopping products preference. All factors of travel activity seemed to affect the three travel shopping propensities. Third, shopping satisfaction was shown to affect tour satisfaction, and posttour behavior. Finally, four tourist groups (active, social, pleasure, and passive) differed in terms of preferred tour activities, shopping propensity, and tour behavior. Active tourists rated the highest scores and passive ones rated the lowest for most evaluations.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.99-120
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• 2017

As smartphones and tablets are drastically spreading, mobile IPTV service becomes very important emerging issue in addition to existing DMB broadcasting, and the consumption of personalized multimedia services is increasing in the mobile Internet environment. While the previous research focuses on influencing factors of the initial acceptance intention of the mobile IPTV Service, this study intends to find the factors that affect continuous use intention of the mobile IPTV service which has become one of core services in the mobile environment. The research model and the hypotheses of this study could be derived on the basis of four referent theories (that is, mobile service quality model (MOBISQUAL), post acceptance model (PAM), expectation confirmation theory (ECT) and extended technology acceptance model (ETAM)). In order to empirically test the hypotheses, the field survey was conducted for 278 respondents. Twelve ones of fifteen hypotheses were found to be statistically significantly adopted from the results of structural equation model analyses using Smart PLS 3.0. The theoretical contribution of this study is to empirically investigate the factors that affect the continuous use intention of mobile IPTV service. And the practical contribution is to provide the implementation guidelines of managing the service quality to enhance the competitive power of mobile IPTV business.