• Computers and Concrete
• /
• v.24 no.3
• /
• pp.207-222
• /
• 2019

This paper has presented an effective and accurate meso-scale finite element model for simulating the fracture process of concrete under compression-shear loading. In the proposed model, concrete is parted into four important phases: aggregates, cement matrix, interfacial transition zone (ITZ), and the initial defects. Aggregate particles were modelled as randomly distributed polygons with a varying size according to the sieve curve developed by Fuller and Thompson. With regard to initial defects, only voids are considered. Cohesive elements with zero thickness are inserted into the initial mesh of cement matrix and along the interface between aggregate and cement matrix to simulate the cracking process of concrete. The constitutive model provided by ABAQUS is modified based on Wang's experiment and used to describe the failure behaviour of cohesive elements. User defined programs for aggregate delivery, cohesive element insertion and modified facture constitutive model are developed based on Python language, and embedded into the commercial FEM package ABAQUS. The effectiveness and accuracy of the proposed model are firstly identified by comparing the numerical results with the experimental ones, and then it is used to investigate the effect of meso-structure on the macro behavior of concrete. The shear strength of concrete under different pressures is also involved in this study, which could provide a reference for the macroscopic simulation of concrete component under shear force.

• Journal of Digital Convergence
• /
• v.17 no.11
• /
• pp.149-156
• /
• 2019

With widespread use of information technologies, information privacy issues have been gaining more attention by not only the public but also researchers. The number of studies on the issues has been increasing exponentially, which makes incomprehensible the whole picture of research outcome. Thus, it is necessary to conduct a systematic examination of past research. This study developed two competing models with four essential constructs in information privacy research and empirically tested the models with data obtained from previous studies. This study employed a quantitative meta-analysis method called TSSEM. It is one of MASEM methods in which structural equation modeling and meta-analysis are integrated. The analysis results indicated that risk-centric model exhibited much better model fits than those of concern-centric model. This study implies that traditional concern-centric model should be questioned it's explanatory power of the model and researchers may consider alternative risk-centric model to explain user's intention to provide privacy information.

• Human Ecology Research
• /
• v.59 no.1
• /
• pp.71-82
• /
• 2021

This study examined the structural relationships among parent's play participation, children's playfulness, self-regulation and happiness. In this Study, subjects were 274 children who were 4 through 5 years old. The participants included 274 preschoolers' parents and their teachers in D city. The parents completed questionnaires regarding parent's play participation with their children and children's self-regulation. The teachers completed questionnaires regarding preschoolers' happiness and playfulness. Data was analyzed using descriptive statistics, pearson correlation analysis and mediation analysis based on structural equation modeling with SPSS 25.0 and AMOS 23.0 program. Also, specific indirect effects were analyzed using AMOS user-defined estimand function. The primary results of this study were as follows. 1) The parent's play participation had an influence upon children's playfulness and self-regulation. 2) The children's playfulness had an influence upon children's self-regulation and happiness. 3) The children's self-regulation had an influence upon children's happiness. 4) Between the parent's play participation and children's happiness were mediated by the children's playfulness and self-regulation. This study revealed that parent's play participation, children's playfulness and self-regulation need to be considered simultaneously to explain the level of the children's happiness. The results highlight the structural relationships among parent's play participation, children's playfulness, self-regulation and happiness.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.225-234
• /
• 2022

Voice commerce has emerged as a key channel for consumer searches and purchases. This study examines the continuance use intention of voice commerce, applying value-based adoption model. An online survey was conducted with 470 consumers who has experienced with voice commerce. As participants were who buys and purchases goods; or a user who uses food delivery service in voice commerce context. This study used SPSS 23.0 and Amos 23.0 for descriptive analysis, correlation analysis, confirmatory factor analysis, and structul equation modeling analysis. These reaults are as follows. First, usefuleness and response accuracy were significantly influenced the perceived value of voice commerce. Second, functional risk was significantly influenced the the perceived value of voice commerce. Third, perceived value was significantly influenced the continuance use intention of voice commerce. These results enhance understanding of voice commerce users and provide insight into the service provider of voice commerce.

• Asia-Pacific Journal of Business
• /
• v.13 no.3
• /
• pp.19-34
• /
• 2022

Purpose - The purpose of this study is to examine whether a psychological concept enhances healthcare users' service experience. Specifically, the study proposes and empirically examines a model of perceived control in which the user's sense of control is postulated as exerting positive influences upon his/her motivation, self-efficacy associated with his/her role as a patient, and satisfaction with his/her medical service experience. Methodology - Data were collected by a professional research company, using an online survey method. Participants of the study included adults nineteen years or older who had visited a medical service institute at least once during the previous one-year period. For the test of the research hypotheses, structural equation modeling using AMOS was used. Findings - Findings of this study denote a unique insight into the users' comprehension of medical service experiences and their behaviors. First, the concept of perceived control is identified as a factor that enhances the quality of individuals' medical service experiences. A sense of control directly influences medical users' self-efficacy to comply with doctor's recommendations, their motivation to comply with doctor's recommendations, and their satisfaction with the medical service experience. Second, one's perceived self-efficacy is found to exert positive influences upon both motivation and satisfaction. Third, one's motivation to comply with the doctor's recommendation is found to exert a positive influence upon one's satisfaction. Additionally, perceived control is found to exert an indirect influence upon medical service users' satisfaction through the mediation of both self-efficacy and motivation. Research Implications - The findings of the study support the notion that perception of control among medial service users enhances their service experience as patients. The main thrust of this study suggests that it is necessary for healthcare practitioners to consider implementing service encounter strategies that purposefully enhance the sense of control among their patients. The identification of significant inter-relationships among perceived control, motivation, self-efficacy, and satisfaction among medical service customers should also serve as a meaningful seed for further research pursuits.

• International Journal of Computer Science & Network Security
• /
• v.22 no.10
• /
• pp.340-346
• /
• 2022

Construction industry is considered as one of the oldest industries in the world since human came into being and the need of their own space is realized. All this led to make the world a space of many beautiful constructive ventures. As per the requirements of today's world, every industry is recognizing the need for use and adoption of modern as well as innovative technologies due to their benefits and timely production. Now construction industry has also started adopting the use of modern and innovative technologies during their projects but still the rate of adoption is so slow. From design to completion, construction projects take a lot to manage for which technology based solutions have continuously been proposed. These include Computer Aided Design (CAD), building information modeling (BIM) and cloud computing have been proved to be much successful until now. The construction projects are high budgeted, and direly require timely and successful completion with quality, resource and other constraints. So, the researchers observe the need of more clear and technology based communication between the construction projects and its constructors and other stakeholders is required before and during the construction to take timely precautions for expected issues. This study has analyzed the use of Augmented Reality (AR) technology adopting GammaAR, and ARki applications in construction industry. It has been found that both applications are light-weighted, upgradable, provide offline availability and collaborative environment as well as fulfil most of the requirements of the construction industry except the cost. These applications also support different screen size for better visualization and deep understanding. Both applications are analyzed, based on construction's application requirements, usability of AR and ratings of applications user collected from application's platform. The purpose of this research is to provide a detail insight of construction applications which are using AR to facilitate both the future developers and consumers.

• Fashion & Textile Research Journal
• /
• v.23 no.3
• /
• pp.347-357
• /
• 2021

This study analyzed the effects of optimism and innovativeness, the two drivers of a consumer's technological readiness to use an augmented reality(AR) fashion shopping service within the framework of the Technology Acceptance Model (TAM). The survey was conducted on 249 people (males = 58; females = 191) in their 20s who were willing to participate in the AR experience. Data were analyzed using confirmatory factor analysis (CFA) and structural equation modeling by AMOS 22.0. The results indicated that a greater level of perceived optimism had a positive influence on the ease of use and usefulness of the technology. The findings also show that consumers with a high degree of innovativeness tend to have a higher level of playfulness toward AR fashion shopping. Regarding the effects of user beliefs, ease of use had a positive effect on the perception of usefulness and playfulness with higher levels implying a higher consumer intention to adopt an AR fashion shopping service. In addition, this study reveals the moderating effect of consumers with high-fashion versus those with low-fashion innovativeness. For the latter, technological innovation had an insignificant effect on playfulness, thus indicating that consumers with low interest in fashion did not enjoy AR fashion shopping even if the technology was highly innovative. Nevertheless, the analysis confirms the possibility that experiencing a fashion product through AR technology could replace the actual experience of wearing the products.

• Smart Structures and Systems
• /
• v.28 no.6
• /
• pp.745-760
• /
• 2021

Dynamic buckling of structure is one of the failure modes that needs to be considered since it may result in catastrophic failure of the structure in a short period of time. For a thin fiber-reinforced polymer (FRP) plate under compression, buckling is an inherent hazard which will be intensified by the existence of defects like holes, cracks, and delamination. On the other hand, the growth of the delamination is another prime concern for thin FRP plates. In the current paper, reinforcing the plates against buckling is realized by using SMA wires in the form of stitches. A numerical framework is proposed to simulate the dynamic instability emphasizing the effect of the SMA stitches in suppressing delamination growth. The suggested algorithm is more accurate than the other methods when considering the transformation point of the SMA wires and the modeling of the cohesive zone using simple and yet reliable technique. The computational design of the method by producing the line by line orders leads to a simple algorithm for simulating the super-elastic behavior. The Lagoudas constitutive model of the SMA material is implemented in the form of user material subroutines (VUMAT). The normal bilinear spring model is used to reproduce the cohesive zone behavior. The nonlinear finite element formulation is programmed into FORTRAN using the Newmark-beta numerical time-integration approach. The obtained results are compared with the results obtained by the finite element method using ABAQUS/Explicit solver. The obtained results by the proposed algorithm and those by ABAQUS are in good agreement.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.9
• /
• pp.381-390
• /
• 2022

Influenced by a culture that prefers non-face-to-face activity during the COVID-19 pandemic, chatbot usage is accelerating. Chatbots have been used for various purposes, not only for customer service in businesses and social conversations for fun but also for mental health. Chatbots are a platform where users can easily talk about their depressed moods because anonymity is guaranteed. However, most relevant research has been on social media data, especially Twitter data, and few studies have analyzed the commercially used chatbots data. In this study, we identified the characteristics of depressive discourse in user-chatbot interaction data by analyzing the chats, including the word 'depress,' using the topic modeling algorithm and the text-mining technique. Moreover, we compared its characteristics with those of the depressive moods in the Twitter data. Finally, we draw several design guidelines and suggest avenues for future research based on the study findings.

• Fashion & Textile Research Journal
• /
• v.24 no.4
• /
• pp.451-459
• /
• 2022

This study aimed to develop a a custom-made dress form for draping using a live model's 3D body scan obtained from an entry-level 3D handheld scanners, 3D modeling software and 3D printing technology. A female subject was recruited whose body size fell under the normal (N) body shape criteria suggested by KS K 0051. First, the handheld scanner reduced the length of the legs in scanning, but most of the scanning operations between the neck and crotch levels were conducted accurately. Therefore, this study was designed to develop a torso dress form. The full body 3D scan was edited into a torso shape using ZBrush® software. Using Rhinoceros^® and Materialise's Magics software, a 3D body scan was modeled so that the user could fit two types of mannequin stands (one with a neck fixation from above and one with an insert from below) to the dress form. The body scan was divided into 9 pieces to fit the printable size of the Stratasys 3D printer Fortus 250mc, and the cross-sectional distance from the center to the periphery was downsized by 2 mm. After outputting the dress form scan file with a 3D printer, the dress form was manufactured by the first covering it with a 4 oz nonwoven pad and the second covering with a single jersey material.