• Korean Journal of Materials Research
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• v.25 no.7
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• pp.322-329
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• 2015

The magnitude of wear should be at a minimum for numerous automobile and aeronautical components. In the current work, composites were prepared by varying the cenosphere content using the conventional stir casting method. A uniform distribution of particles was ensured with the help of scanning electron microscopy (SEM). Three major parameters were chosen from various factors that affect the wear. A wear test was conducted with a pin-on-disc apparatus; the controlling parameters were volume percentages of reinforcement of 5, 10, 15, and 20%, applied loads of 9.8, 29.42, and 49.03 N, and sliding speeds of 1.26, 2.51, and 3.77 m/s. The design of the experiments (DOE) was performed by varying the different influencing parameters using the full factorial method. An analysis of variance (ANOVA) was used to analyze the effects of the parameters on the wear rate. Using regression analysis, a response curve was obtained based on the experimental results. The parameters in the resulting curve were optimized using the Genetic Algorithm (GA). The GA results were compared with those of an alternate efficient algorithm called Neural Networks (NNs).

• Journal of Welding and Joining
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• v.14 no.4
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• pp.33-42
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• 1996

In recent years there has been a significant growth in the use of the automated and/or robotic welding system, carried out as a means of improving productivity and quality, reducing product costs and removing the operator from tedious and potentially hazardous environments. One of the major difficulties with the automated and/or robotic welding process is the inherent lack of mathematical models for determination of suitable welding process parameters. Partial-penetration, single-pass bead-on-plate welds were fabricated in 12mm AS 1204 mild steel flats employing five different welding process parameters. The experimental results were used to develop three empirical equations: curvilinear; polynomial; and linear equations. The results were also employed to find the best mathematical equation under weld bend width to assist in the process control algorithms for the Gas Metal Arc Welding(GMAW) process and to correlate welding process parameters with weld bead width of bead-on-plates deposited. With the help of a standard statistical package program. SAS, multipe regression analysis was undertaken for investigating and modeling the GMAW process, and significance test techniques were applied for the interpretation of the experimental data.

• Journal of Ocean Engineering and Technology
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• v.26 no.5
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• pp.25-30
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• 2012

This study examined the use of LIT (lock-in infrared thermography) to detect defects in the welded parts of ships and offshore structures. A quantitative analysis was used with the filtering and texture measurement of image processing techniques to find the optimized experimental condition. We verified the reliability of our methods by applying image processing techniques in order to normalize the evaluations of comparative images that showed a phase difference. In addition, it was found that a low to mid-range intensity of light exposure on the surface showed good results, whereas high exposure did not provide significant results. A lock-in frequency of around 0.1 Hz was satisfactory regardless of the intensity of the light source. In addition, making the integration time of the thermography camera inversely proportional to the intensity of the exposed light source during the experiment provided good results.

• Journal of Distribution Science
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• v.19 no.12
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• pp.71-81
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• 2021

Purpose: This study to seek to answer two research questions in distribution science: what photo decoration cues in online grocery stores could be identified? Could photo decoration cues significantly effect on the affective perception and behavioral intention of consumers? Research design, data, and methodology: his study conducted a laboratory experiment with a 2×2×2 factorial design to validate the proposed research model and test our proposed hypotheses. Research design, data and methodology: Two stages experiments were adopted in this study, among 360 voluntaries who have had an experience of online grocery shopping, 331 valid data had been collected and analyzed using MANOVA and PLS-SEM algorism. Results: (1) both reflective surface and complementary goods layout lead to visual appeal and shopping enjoyment; (2) contrast color usage positively impacts on visual appeal while does not significantly affect shopping enjoyment; (3) consumers' affective responses positively impact attitudes toward product and store which in turn lead to purchase intention and store loyalty. Implications for research and practice are discussed. Conclusions: Using the media richness theory, visual rhetoric theory and visual design literature as the theoretical foundation, the study provides a solid foundation to comprehend the impact of photo design artifacts on consumers' affective responses when online consumers shopping online for fresh grocery.

• Journal of Korean Academy of Rural Health Nursing
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• v.14 no.1
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• pp.8-16
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• 2019

Purpose: The purpose of this study was to examine the effect of a multifactorial program for urinary incontinence, self-esteem and self-efficacy in older women. Methods: A one-group pretest-posttest with no control group was used. Nineteen women completed weekly 90-min group sessions for eight weeks. The group received a multi-factorial program comprised of Kegel exercise, education and psychosocial programs over 8 weeks. Data on urinary incontinence, self-esteem and self-efficacy were collected twice: before the intervention and 8 weeks after the intervention. Data were analyzed using paired t-test by non-parametric statistics. Results: Total scores for the International Consultation on Incontinence Questionnaire decreased significantly after the intervention (pretest $7.95{\pm}5.48$, posttest $5.15{\pm}4.72$, p<.05). The scores for self-esteem and self-efficacy improved significantly. Conclusion: These results indicate that a multifactorial program for older women is feasible to prevent urinary incontinence in women living in the community.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.4
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• pp.506-520
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• 2019

This study first investigates relationships among fashion consumer's positive emotion toward social value seeking activities (SVSA), enterprise image (EI), enterprise-perceived quality (EPQ), and purchase intention. Additionally, it demonstrates if the confirmed relationships are different in similar SVSA between social enterprise and cause-related marketing (CRM). An online experiment using a 2 (the implementation organization of social values: social enterprise vs CRM) ${\times}2$ (SVSA: support of vulnerable group vs environmental protection) factorial design was conducted to test the established hypotheses. Participants were randomly assigned to one of four conditions, and the collected data were analyzed using a partial least squares structure equation modeling (PLS-SEM) and partial least squares multi-group analysis (PLS-MGA). The results revealed that positive emotion toward SVSA directly influenced EI and purchase intention. EI and EPQ were identified as sequential mediators linking positive emotion toward SVSA and purchase intention. A finding for similarity in consumer response paths between social enterprises and CRM highlights that social enterprises need to develop a marketing strategy distinguished from CRM.

• Journal of Forest and Environmental Science
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• v.37 no.3
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• pp.235-242
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• 2021

Seed morphology, physiology and environmental conditions have influence on germination of any tropical seeds and their appropriate handling, processing and handling enhances seeds emergent. This study therefore investigated effects of storage durations under different temperatures on germination of Bombax costatum seeds from different provenances. Fresh 25 seeds of B. costatum in four replicates were collected from four different provenances (Aponmu, Oluwa, Ibadan and Oyo). They were surface sterilized, thoroughly washed in distilled water and stored at four different temperature regimes: 28℃, 21℃, 5℃ and -17℃. Samples were taken every 2 months for germination test for 18 months. Germination assessment was carried out daily and recorded. The experimental design was 4×4×10 factorial in 4 replicates. Data were subjected to percentages and analysis of variance (ANOVA). Results showed that there were significant differences among storage temperatures, storage durations and provenances on germination percentage. Freshly collected seeds from Aponmu and Oyo had the highest mean germination of 100% followed by seeds from Ibadan (89.3%). Seeds from Oyo provenance stored 5℃ had germination of 94.0%, 88.70% and 78.7% at 2nd, 4th and 6th month respectively. Seeds from Ibadan and Oyo stored at 28℃, 21℃ recorded 0.0% starting from 8 months of storage. Germination of B. costatum seeds from the four provenances decreased with increase in storage duration at different temperatures.

• Corrosion Science and Technology
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• v.20 no.2
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• pp.52-61
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• 2021

This study using experimental design and linear regression technique was implemented in order to predict the pitting potential of stainless steel in marine environments, with the target materials being AL-6XN and STS 316L. The various variables (inputs) which affect stainless steel's pitting potential included the pitting resistance equivalent number (PRNE), temperature, pH, Cl^- concentration, sulfate levels, and nitrate levels. Among them, significant factors affecting pitting potential were chosen through an experimental design method (screening design, full factor design, analysis of variance). The potentiodynamic polarization test was performed based on the experimental design, including significant factor levels. From these testing methods, a total 32 polarization curves were obtained, which were used as training data for the linear regression model. As a result of the model's validation, it showed an acceptable prediction performance, which was statistically significant within the 95% confidence level. The linear regression model based on the full factorial design and ANOVA also showed a high confidence level in the prediction of pitting potential. This study confirmed the possibility to predict the pitting potential of stainless steel according to various variables used with experimental linear regression design.

• Advances in nano research
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• v.12 no.4
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• pp.387-403
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• 2022

Silica nanoparticles, which have a broad range of sizes and specific surface features, have been used in many industrial applications. This study was conducted to synthesize monodispersed silica nanoparticles directly from tetraethyl orthosilicate (TEOS) with an alkaline catalyst (NH₃) based on the sol-gel process and the Stöber method. A central composite design (CCD) is used to build a second-order (quadratic) model for the response variables without requiring a complete three-level factorial experiment. The process was then optimized to achieve the minimum particle size with the lowest concentration of TEOS. Dynamic light scattering and scanning electron microscopy were used to analyze the size, dispersity, and morphology of the synthesized nanoparticles. After optimization, a confirmation test was carried out to evaluate the confidence level of the software prediction. The results revealed that the predicted optimization is consistent with experimental procedures, and the model is significant at the 95% confidence level.

• Journal of Distribution Science
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• v.21 no.6
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• pp.1-11
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• 2023

Purpose: As a modern distribution channel, the growth of e-commerce has brought more competitive pressures on e-marketplace, making trust and loyalty become top priority. As one of many sources of trust and loyalty issues, understanding the effect of careless marketing communications on consumers' perception is critical. This study examines the effect of careless marketing communications (e.g. misspellings, incomplete information) in website on consumers' trust toward and confidence in purchasing a product from an e-commerce. Research design and methodology: An experimental research design (with two experimental studies) was used in to test the hypotheses. Study 1 employs a single-factor design and study 2 employs a 2x2, full-factorial, between-subjects design. Results: Results of the two experimental studies (Study 1, n = 60; Study 2, n = 140) demonstrate that simple mistakes significantly decrease consumers' trust toward an e-commerce and their confidence to purchase from the e-commerce. The effect is found to be significant in the case of high-involvement products; whereas no effect is found in low-involvement products. Conclusions: E-commerce relies heavily on carefully crafted marketing communications to establish consumers' trust and confidence. These studies confirm the equal importance of distribution and communication in maintaining consumers' trust and sustainability of the business.