• Journal of Information Technology Services
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• v.20 no.4
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• pp.95-111
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• 2021

Recently, many organizations are actively adopting VDI (Virtual Desktop Infrastructure), an IT-based business system, to build a non-face-to-face business environment for smart-work. However, most of the existing research on VDI has focused on the satisfaction of system service quality or the use of IT resources and investment for VDI introduction. However, research on effective management and utilization of factors according to the characteristics of VDI technology is urgently required. This study is an empirical research study on how VDI technology characteristics affect interactions and work performance by identifying differences in utilization factors between general organization members and IT managers, presenting standards for business utilization and management. This study proposed a model and hypothesis that the system technology characteristics for VDI use are mediated by interactions in which users respond to functions appropriate to their work. In order to verify the hypothesis, a questionnaire survey was conducted on 188 people of companies and institutions that have adopted and used VDI through a questionnaire survey. Data analysis was performed with partial least squares (PLS), a structural equation modeling (SEM) technique that uses a component-based approach to estimation. As a result of the empirical analysis, the same environmental function for performing work, N-th security, and remote access function factors for non-face-to-face work have a significant effect on interactivity, and IT managers have an additional significant effect on the management technology characteristics of resource reallocation. Has been shown to affect. The results of this study aim to minimize trial and error due to new introduction by presenting considerations for future VDI introduction through case analysis.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.73-81
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• 2022

This study is a descriptive research study to analyze the relationship between learning motivation, learning immersion, and self-directed learning. For this study, data were collected from August 1 to 30, 2021. The collected data were analyzed using the IBM SPSS/WIN 22.0 program. The learning motivation was positively correlated with learning immersion and self-directed learning. In analysis results, the factors affecting learning immersion are learning motivation and self-directed learning. And it was confirmed that self-direction was a partial mediating factor in the relationship between learning motivation and learning immersion. Learning motivation is an important factor for nursing students' learning immersion and self-directed learning. Therefore, specific measures to improve self-directed learning should be prepared for learning immersion. Therefore, nursing students' self-directed learning is an important factor for learning motivation and learning immersion, and specific measures to improve that should be prepared.

• Geomechanics and Engineering
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• v.13 no.1
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• pp.141-159
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• 2017

A pick cutter is a rock-cutting tool used in partial-face excavation machines such as roadheaders, and its quality is a key element influencing the excavation performance and efficiency of such machines. In this study, pick cutters with hardfacing deposits applied to a tungsten carbide insert were made with aim of increasing their durability and wear resistance. They were field-tested by being installed in a roadheader and compared with conventional pick cutters under the same excavation conditions for 24 hours. The hardfaced pick cutters showed much smaller weight loss after excavation, and therefore better excavation performance, than the conventional pick cutters. In particular, the damage to and detachment (loss) of tungsten carbide inserts was minimal in the hardfaced pick cutters. A detailed inspection using scanning electron microscope-energy dispersive X-ray spectrometry and three-dimensional X-ray computed tomography scanning revealed no macro- or micro-cracks in the pick cutters. The reason for the absence of cracks may be that the heads of pick cutters are mechanically worn after the tungsten carbide inserts have been worn and damaged. However, scanning revealed the presence of voids between tungsten carbide inserts and pick cutter heads. This discovery of voids indicates the need to improve production processes in order to guarantee a higher quality of pick cutters.

• Knowledge Management Research
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• v.21 no.3
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• pp.123-140
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• 2020

In call centers where customers contact a firm's customer service without face-to-face interaction, customer service representatives (CSRs) determine its service competitiveness. In other words, a firm's service excellence relies on its CSRs. Drawing on the concept of agility from service and information technologies studies, this study conceptualizes customer response capability as a variable consisting of customer response expertise and customer response agility, and further verifies its effects on customer service performance. Moreover, this study examines whether a firm's digital and human knowledge resources are related to CSRs' customer response capability. To empirically test the proposed hypotheses, the partial least squares analysis is conducted with a total of 371 responses collected on CSRs from two insurance call centers. The findings indicate that a firm's digital and human knowledge resources enhance CSRs' customer response expertise and customer response agility, thereby increasing customer service performance. The results draw the conclusion that CSRs' customer response capability is a key antecedent of superior customer service.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.83-90
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• 2010

Cancelable biometrics is a robust and secure biometric recognition method using revocable biometric template in order to prevent possible compromisation of the original biometric data. In this paper, we present a new cancelable bits extraction method for the facial data. We use our previous cancelable feature template for the bits extraction. The adopted cancelable template is generated from two different original face feature vectors extracted from two different appearance-based approaches. Each element of feature vectors is re-ordered, and the scrambled features are added. With the added feature, biometric bits string is extracted using helper data based method. In this technique, helper data is generated using statistical property of the added feature vector, which can be easily replaced with straightforward revocation. Because, the helper data only utilizes partial information of the added feature, our proposed method is a more secure method than our previous one. The proposed method utilizes the helper data to reduce feature variance within the same individual and increase the distinctiveness of bit strings of different individuals for good recognition performance. For a security evaluation of our proposed method, a scenario in which the system is compromised by an adversary is also considered. In our experiments, we analyze the proposed method with respect to performance and security using the extended YALEB face database

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.1100-1118
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• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.

• Child Health Nursing Research
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• v.26 no.3
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• pp.357-365
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• 2020

Purpose: The aim of this study was to investigate internet addiction among middle school students and to examine the mediating effects of social support in the relationships of self-efficacy and self-control with internet addiction. Methods: The participants in the study were 119 middle school students in J city. The measurements included a self-efficacy scale, a self-control scale, a social support scale, and the Internet Addiction Scale for Youth. Data were analyzed using the independent t-test or Mann-Whitney U test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and multiple-regression using SPSS version 22.0. Mediation effects were analyzed by the Sobel test and Baron and Kenny's hierarchical analysis technique. Results: Significant correlations were found among self-efficacy, self-control, and internet addiction. Social support had partial mediating effects in the relationship between self-efficacy and internet addiction, as well as in the relationship between self-control and internet addition. Conclusion: In order to prevent internet addiction, the promotion of interactions among peers, which is a component of social support, is particularly important. It is also necessary to promote face-to-face activities that can strengthen relationships. The findings suggest that intensifying social support may help reduce the level of internet addiction in middle school students.

• Applied Microscopy
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• v.33 no.3
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• pp.215-222
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• 2003

The ultrastructure of damaged hair shaft from blow-drying at typical temperature $40{\sim}170^{\circ}C$ for daily beautiful face have been investigated by using transmission electron microscope and scanning electron microscope. When we used to hair dryer for a long time in our everyday life, the following morphological alternations were found in hair. First, the partial of scales in outer cuticle were detached simultaneously with separation of intercellular membrane complex of cuticle cells. Then hair broke cuticle off and exposed to cortex. Secondly, the cortical cell in the cortex was fissured into its macrofibril. The melanin granules were scattered between macrofibrils. As a result, I confirmed that blow-drying removed the hair's bonded water and made hard on hair which lost elasticity. After all, hair showed irregular, rough surface and vanished its luster.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.221-230
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• 2017

BL(Blended Learning) has been presented as a promising alternative learning approach. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. The adoption of BL in computer practice class is necessary due to the characteristics of computer practice class itself. This study proposes a research model that examines the determinants of learner's satisfaction of computer practice classes in BL environment. Considering the characteristics of computer practices classes contents and instructor interaction were identified as the determinants. The research model is tested using a questionnaire survey of 141 participants. Confirmatory factor analysis (CFA) was performed to test the reliability and validity of the measurements. The partial least squares (PLS) method was used to validate the measurement and hypotheses. The empirical findings shows that contents easiness and contents constructs are the primary determinants of instructor interaction in BL. Instructor interaction was also found to be related to the learner's satisfaction resulting in re-using. The findings provide insight into the planning and utilizing BL in computer practice classes to enhance learner's satisfaction.

• Smart Structures and Systems
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• v.22 no.1
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• pp.105-120
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• 2018

In this paper, the nonlinear free and forced vibration responses of sandwich nano-beams with three various functionally graded (FG) patterns of reinforced carbon nanotubes (CNTs) face-sheets are investigated. The sandwich nano-beam is resting on nonlinear Visco-elastic foundation and is subjected to thermal and electrical loads. The nonlinear governing equations of motion are derived for an Euler-Bernoulli beam based on Hamilton principle and von Karman nonlinear relation. To analyze nonlinear vibration, Galerkin's decomposition technique is employed to convert the governing partial differential equation (PDE) to a nonlinear ordinary differential equation (ODE). Furthermore, the Multiple Times Scale (MTS) method is employed to find approximate solution for the nonlinear time, frequency and forced responses of the sandwich nano-beam. Comparison between results of this paper and previous published paper shows that our numerical results are in good agreement with literature. In addition, the nonlinear frequency, force response and nonlinear damping time response is carefully studied. The influences of important parameters such as nonlocal parameter, volume fraction of the CNTs, different patterns of CNTs, length scale parameter, Visco-Pasternak foundation parameter, applied voltage, longitudinal magnetic field and temperature change are investigated on the various responses. One can conclude that frequency of FG-AV pattern is greater than other used patterns.