• Computers and Concrete
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• v.11 no.3
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• pp.201-222
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• 2013

A comprehensive simulation model for the transport process of fully coupled moisture and multi-species in non-saturated concrete structures is proposed. The governing equations of moisture and ion diffusion are formulated based on Fick's law and the Nernst-Planck equation, respectively. The governing equations are modified by explicitly including the coupling terms corresponding to the coupled mechanisms. The ionic interaction-induced electrostatic potential is described by electroneutrality condition. The model takes into account the two-way coupled effect of moisture diffusion and ion transport in concrete. The coupling parameters are evaluated based on the available experimental data and incorporated in the governing equations. Differing from previous researches, the material parameters related to moisture diffusion and ion transport in concrete are considered not to be constant numbers and characterized by the material models that account for the concrete mix design parameters and age of concrete. Then, the material models are included in the numerical analysis and the governing equations are solved by using finite element method. The numerical results obtained from the present model agree very well with available test data. Thus, the model can predict satisfactorily the ingress of deicing salts into non-saturated concrete.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.399-408
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• 2012

Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable information from hand images. Many methods are available in scientific literature for fingertips detection with an open hand but very poor results are available for fingertips detection when the hand is closed. This paper presents a new method for the detection of fingertips in a closed hand using the corner detection method and an advanced edge detection algorithm. It is important to note that the skin color segmentation methodology did not work for fingertips detection in a closed hand. Thus the proposed method applied Gabor filter techniques for the detection of edges and then applied the corner detection algorithm for the detection of fingertips through the edges. To check the accuracy of the method, this method was tested on a vast number of images taken with a webcam. The method resulted in a higher accuracy rate of detections from the images. The method was further implemented on video for testing its validity on real time image capturing. These closed hand fingertips detection would help in controlling an electro-mechanical robotic hand via hand gesture in a natural way.

• Steel and Composite Structures
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• v.39 no.3
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• pp.307-318
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• 2021

Utilizing fibers is an effective way to avoid the brittle behavior of the conventional concrete and can enhance its ductility. In particular, propylene fibers can improve concrete properties, including energy absorption, physical and mechanical properties, controlling shrinkage cracks. The increase of fiber density leads to an increase of the overlapping surface of the fiber of concrete and, in turn, a decrease of cracks developed in the concrete. However, the workability of fiber reinforced concrete tends to be lower than the conventional concrete owing mainly to the hairline thickness and excessive concentration of fibers. The low slump of concrete impedes the construction of reinforced concrete members. In this research, we study if the utilization of magnetic water can alleviate the workability issue of young fiber reinforced concrete. To this end, the compressive and flexural strength of four types of concrete (conventional concrete, fiber reinforced concrete, magnetic concrete, magnetic fiber-reinforced concrete) is studied and compared at three different ages of 7, 14, and 28 days. In order to study the influence of the fiber density and length, a study on specimens with three different fiber density (1, 2, 5 kg of fiber in each cubic meter of concrete) and fiber length (6, 12, 18 mm) is undertaken. The result shows the magnetic fiber concrete can result in an increase of the flexural and compressive strength of concrete at higher ages.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.141-144
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• 2021

Modern concepts of management of construction production systems require solving the problems of harmonization of the distribution of structural elements on the way to overcoming global destabilization processes. An effective ratio of functional subsystems of production in an environment of mutual influence create sustainable opportunities for production management and contribute to the logical development of the system as a whole in achieving the main goal of harmonious management. The purpose of the study is to develop the concept of effective management of production systems in construction with the harmonious formation of organizational structures. The results of the study allowed to reveal the harmonization approach in improving the interaction of structural elements of production and accelerating their functional sensitivity to changes in the environment. Harmonious production system more effectively adapts to the diversity of interests, goals and actions at all levels of management of different subsystems in any environment.

• PNF and Movement
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• v.18 no.3
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• pp.425-433
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• 2020

Purpose: The purpose of this study was to investigate the effect of 7Hz vibration on the thickness of the rectus femoris, medial femur, rectus femoris tendon, and Achilles tendon. Methods: The statistical methods before and after working around the average value of each of the legs included repeated measures ANOVA. The subjects were 26 males residing in the N area, and we measured the change in muscle thickness and tendon thickness before, four weeks, and eight weeks after the experiment in two groups of 13 subjects each. The analysis method was a two-way repeated measurement variance analysis (ANOVA) with a significance level of 0.05 Results: The rectus femoris, medial broad muscle, rectus femur, and Achilles tendon showed significant increases in the interaction between the periods as well as between the periods and groups (p < 0.05). Conclusion: As a result of this study, the 7Hz vibration had a positive effect on the thickness of the rectus femoris and the vastus medialis muscle as well as the thickness of the rectus femoris tendon and Achilles tendon. It is expected to be used as basic data for vibrational exercises in the future studies and is expected to be used as an exercise to strengthen the leg muscles and tendons.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.3
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• pp.298-305
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• 2021

Purpose: This study aims to identify the relationship between nursing students' social anxiety and communication ability, and in particular, to determine the mediating effect of self-efficacy. Methods: A total of 187 nursing students enrolled at four universities in Korea completed surveys between August and September 2020. The measurements included the Global Interpersonal Communication Competence Scale, self-efficacy scales, and interaction anxiousness scales. Data were analyzed using descriptive statistics, an independent t-test, one-way ANOVA, Pearson's correlation, multiple regression following the Baron and Kenny method, and bootstrapping for mediation. Results: Communication ability was significantly negatively correlated with social anxiety (r=-.61, p<.001) and significantly positively correlated with self-efficacy (r=.77, p<.001). Furthermore, self-efficacy had a partial mediating effect on the relationship between social anxiety and communication ability. Conclusion: The findings of this study suggest that communication ability can be improved if individual characteristics such as social anxiety and self-efficacy are considered. Therefore, when developing communication ability improvement programs for nursing students in the future, it is considered important to actively consider these personal characteristics.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.107-116
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• 2022

Purpose: Researchers have shown that aesthetic judgments of artworks depend on contexts, such as the authenticity of an artwork (Newman & Bloom, 2011) and an artwork's location of display (Kirk et al., 2009; Silveira et al., 2015). The present study aims to examine whether contextual information related to the creator, such as whether an artwork was created by a human or artificial intelligence (AI), influences viewers' preference judgments of an artwork. Methods: Images of Impressionist landscape paintings were selected as human-made artworks. AI-made artwork stimuli were created using Google's Deep Dream Generator by mimicking the Impressionist style via deep learning algorithms. Participants performed a preference rating task on each of the 108 artwork stimuli accompanied by one of the two creator labels. After this task, an art experience questionnaire (AEQ) was given to participants to examine whether individual differences in art experience influence their preference judgments. Results: Setting AEQ scores as a covariate in a two-way ANCOVA analysis, the stimuli with the human-made context were preferred over the stimuli with the AI-made context. Regarding the types of stimuli, the viewers preferred AI-made stimuli to human-made stimuli. There was no interaction effect between the two factors. Conclusion: These results suggest that preferences for visual artworks are influenced by the contextual information of the creator when the individual differences in art experience are controlled.

• Journal of the Korean Wood Science and Technology
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• v.51 no.3
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• pp.222-237
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• 2023

Eucalyptus pellita is one of the fast-growing tree species and has become predominant in Indonesian forest plantations. Meanwhile, tree breeding programs with clone development are the best way to provide greater genetic advantages. A better understanding of genetic control on growth and basic density in E. pellita is important for increasing wood productivity and quality. In this study, growth characteristics (tree height, diameter, and volume), basic density and its genetic parameters (heritability, genetic gain and genetic correlation) were determined. The number of clones tested in both trials was 50, divided into 5 blocks, and 5 trees/plot. The results showed that there were significant differences in growth and basic density among clones. There was an interaction between genetics and the environment further indicating the existence of unstable clones. The high heritability was found in tree height (0.82-0.86), diameter (0.82-0.90), and basic density (0.91-0.93). This implies that E. pellita has good opportunities for genetic improvement to increase wood productivity and quality. In addition, the results of genetic correlations among growth characteristics (height, diameter, and volume) and basic density showed positive moderate to highly significant value. It is suggested that these characters may be used to the advantage of the breeder for bringing improvement in these traits simultaneously. Therefore, this study provides important information of the genetic improvement of wood quality in E. pellita in Indonesia.

• Fashion & Textile Research Journal
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• v.26 no.3
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• pp.239-250
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• 2024

This study aims to investigate the factors influencing donation intention when the option to donate is presented during a purchase decision. Through an experimental design, we examined how price differences and reference group effects impact donation intention. We created stimuli with three price difference conditions (high, low, and control) and two levels of referent power (high and low), and involved 480 Korean consumer panels in the experiments. After controlling for psychological reactance levels, a two-way MANCOVA confirmed the main effects of price difference and referent power but found no interaction effect between these variables. Notably, consumers were less likely to feel guilty for not selecting the donation option when its price was slightly higher than that of the non-donation option, compared to the scenario where the prices were the same. Additionally, consumers exposed to high referent power experienced greater irritation, guilt, and shame if they did not choose the donation option compared to the low referent power group. Multiple regression results showed that guilt significantly influenced the intention to purchase a donation option, whereas irritation and shame did not. These findings suggest that understanding situational factors such as price differences and referent power can help develop effective marketing strategies and encourage voluntary participation in donations.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.148-158
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• 2024

We investigate Autism Spectrum Disorder (ASD), which is typified by deficits in social interaction, repetitive behaviors, limited vocabulary, and cognitive delays. Traditional diagnostic methodologies, reliant on expert evaluations, frequently result in deferred detection and intervention, particularly in South Korea, where there is a dearth of qualified professionals and limited public awareness. In this study, we employ advanced deep learning algorithms to enhance early ASD screening through automated video analysis. Utilizing architectures such as Convolutional Long Short-Term Memory (ConvLSTM), Long-term Recurrent Convolutional Network (LRCN), and Convolutional Neural Networks with Gated Recurrent Units (CNN+GRU), we analyze video data from platforms like YouTube and TikTok to identify stereotypic behaviors (arm flapping, head banging, spinning). Our results indicate that the LRCN model exhibited superior performance with 79.61% accuracy on the augmented platform video dataset and 79.37% on the original SSBD dataset. The ConvLSTM and CNN+GRU models also achieved higher accuracy than the original SSBD dataset. Through this research, we underscore AI's potential in early ASD detection by automating the identification of stereotypic behaviors, thereby enabling timely intervention. We also emphasize the significance of utilizing expanded datasets from social media platform videos in augmenting model accuracy and robustness, thus paving the way for more accessible diagnostic methods.