• Environmental Engineering Research
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• v.23 no.4
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• pp.374-382
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• 2018

Petroleum hydrocarbons pollutants, such as diesel fuel, have caused ecosystem damage in terrestrial and aquatic habitats. They have been recognized as one of the most hazardous wastes. This study was designed to optimize the effect of Tween 80 concentration, nitrogen (N)/phosphorus (P) ratio and salinity level on diesel biodegradation by Vibrio alginolyticus (V. alginolyticus). Response surface methodology with Box-Behnken design was selected with three factors of Tween 80 concentration (0, 5, 10 mg/L), N/P ratio (5, 10, 15) and salinity level (15‰, 17.5‰, 20‰) as independent variables. The percentage of diesel degradation was a dependent variable for 14 d of the remediation period. The results showed that the percentages of diesel degradation generally increased with an increase in the amount of Tween 80 concentration, N/P ratio and salinity level, respectively. The optimization condition for diesel degradation by V. alginolyticus occurred at 9.33 mg/L of Tween 80, 9.04 of N/P ratio and 19.47‰ of salinity level, respectively, with percentages of diesel degradation at 98.20%. The statistical analyses of the experimental results and model predictions ($R^2=0.9936$) showed the reliability of the regression model and indicated that the addition of biostimulant can enhance the percentage of diesel biodegradation.

• Asia-Pacific Journal of Business
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• v.10 no.1
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• pp.73-86
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• 2019

Since its launch, WeChat has been changing the Chinese lifestyle, changing the traditional way of distribution, and changing the way companies market with the combination of information innovation and New Media. Now, WeChat plays an indispensable role in peopl's daily lives, not only in chatting software, but also in shopping, delivery, ordering, payment, and games. This study was centered on people who have used WeChat and around these backgrounds, planned study models. Through prior research, the purpose of the research is to explore the factors influencing the effects of the WeChat platform on MPR and explore the media effects of advertising attitude between WeChat platform features and MPR effects and provide basic material on its continued development. The research has shown that the reliability and diversity of the WeChat platform has a significant impact on both advertising attitude and purchase intention and propaganda intention of MPR effects. Advertising attitude has a positive impact on purchase intention and propaganda intention, and advertising attitude is shown to have a mediated effect between the WeChat platform and the MPR effects. The results of this study suggest the theoretical enlightenment of "continuous and stable development of the WeChat platform", and it is expected that marketing development plans of various social platforms will provide basic materials.

• Women's Health Nursing
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• v.25 no.1
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• pp.99-111
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• 2019

Purpose: To develop nurses' educational needs scale for woman with infertility. Methods: A total of 201 nurses in charge of infertility health services in 4 infertility hospitals and 1 public health center were enrolled for this study. The scale was developed through literature review, in-depth interview, development of preliminary items, verification of content validity, development of secondary items, verification of construct validity, and extraction of final items. Data were analyzed using item analysis, exploratory factor analysis, Pearson's correlation coefficients, and Cronbach's ${\alpha}$. Results: Nurses' educational needs scale for women with infertility consisted of 41 items. Three factors (education for disease and symptom of infertility, supporting and counselling for infertility patients, and education for daily life of infertile patients) explained 63.7% of the total variance. Conclusions: Nurses' educational needs scale for woman with infertility demonstrated acceptable validity and reliability. Its items could be used to assess the level of educational needs for nurses in charge of infertility health services.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1385-1397
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• 2018

There are many factors that affect the wind speed. In addition, the randomness of wind speed also leads to low prediction accuracy for wind speed. According to this situation, this paper constructs the short-time forecasting model based on the least squares support vector machines (LSSVM) to forecast the wind speed. The basis of the model used in this paper is support vector regression (SVR), which is used to calculate the regression relationships between the historical data and forecasting data of wind speed. In order to improve the forecast precision, historical data is clustered by cluster analysis so that the historical data whose changing trend is similar with the forecasting data can be filtered out. The filtered historical data is used as the training samples for SVR and the parameters would be optimized by particle swarm optimization (PSO). The forecasting model is tested by actual data and the forecast precision is more accurate than the industry standards. The results prove the feasibility and reliability of the model.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.75-96
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• 2019

These days, many companies use information systems as a basis for organizational management activities and as an important component of sustainable management. Thus, securing and operating a high-quality information system that can improve the efficiency of business processes is a large part of corporate competitiveness. In order to get such a critical information system, it is only possible to successfully carry out the project. Various attempts and studies have been undertaken to increase the success rate of the project. However, the reality is that the success rate is still not getting much better. In this study, the concept of quality of service, which has long been actively studied in marketing area, was applied as a new factor to enhance the project's success. In this study, project performance activities were defined as the act of providing services. A survey of 164 valid collection data was analyzed. The analysis used SPSS 23. Four process quality factors (customer participation, customer response, knowledge and skills, reliability) and 21 metrics were derived. Through this research, I hope to be the starting point of applying process quality concept as a new breakthrough to increase success rate of project.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.365-367
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• 2016

Recently, the importance of personal information security has emerged. In particular, the importance of biometrics such as voice recognition, fingerprint recognition, face recognition has been highlighted in various fields such as access control, banking security, personal PC security and so on. But if such conventional security techniques are likely to be recognized by an external factor failure. In contrast, if the vein recognition is impossible to copy and counterfeit. Therefore less likely to fail due to external factors has the advantage. In this paper, propose a preprocessing method to improve on the existing vein pattern recognition with high reliability than existing biometric technologies.

• Asia Pacific Journal of Business Review
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• v.4 no.1
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• pp.35-44
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• 2019

Service quality is a competitive weapon in the banking industry. Better understanding of customer's perception of service quality in the banking industry and the drivers of such perceptions will be a sound basis for continuous improvement in the quality of service offered to customers, customer satisfaction and customer retention in the industry. An earlier study by the same authors (Ibrahim and Bokkasam, 2016) revealed that the six SERVQUAL determinants are significantly related to and explain about 84% of overall customer satisfaction. It was also observed that the female customers perceived higher level of positive perception towards SERVQUAL determinants. The present study carries out a micro-analysis of the influence of gender on the constituents of the service quality and customer satisfaction for all the six dimensions of the SERVQUAL: Access, Communication, Competence, Tangibility, Empathy and Reliability, in Saudi banking sector. The study also analyses gender-wise levels of satisfactions with regard to individual components constituting various factors of the constituents of SERVQUAL. It was observed that the male customers have significantly low levels of satisfactions with regard to promptness in solving conflicting issues and comfort during waiting time in the bank.

• Geomechanics and Engineering
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• v.19 no.1
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• pp.61-70
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• 2019

Yieldable steel ribs have been widely applied in tunnels excavated in rheological rocks. For further understanding the influence of yieldable steel ribs on supporting effect, mechanical behavior of tunnels supported by them in rheological rocks is investigated in this paper. Taking into account the deformation characteristic of yieldable steel ribs, their deformation is divided into three stages. In order to modify the stiffness of yieldable steel ribs in different deformation stages, two stiffness correction factors are introduced in the latter two stages. Viscoelastic analytical solutions for the displacement and pressure in the rock-support interface in each deformation stage are obtained. The reliability of the theoretical analysis is verified by use of numerical simulation. It could be concluded that yieldable steel ribs are able to reduce pressure acting on them without becoming damaged through accommodating the rock deformation. The influence of stiffness correction factor in yielding deformation stage on pressure and displacement could be neglected with it remaining at a low level. Furthermore, there is a linearly descending relationship of pressure with yielding displacement in linear viscoelastic rocks.

• Journal of the Korean Society of Safety
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• v.34 no.3
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• pp.8-14
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• 2019

Many electrical socket-outlet fire accidents take place not only in homes but in the offices each year. The causes are mostly faulty constructions, managerial problems and carelessness. Construction and managerial flaws can be resolved by regular or special inspections, but carelessness is not solvable through inspections. Such carelessness can be related to the consumption capacity of electrical socket-outlets presently, the rated current of electrical socket-outlets is based on 16A. However, even at 16A, the heat generated in the insulator of an electrical socket-outlet varies due to such factors as part damage and environmental conditions of use. To explore this situation, the study conducted an experiment to analyze thermal relationship by applying 10A, 20A, and 30A currents. To secure reliability, the study employed thermal analysis simulation and compared the thermal relationship in the same current value. The experimental and simulation values were found to be similar and therefore, diverse current values were replaced with the simulation. At 30A, the temperature was found to rise to at least $169.9^{\circ}C$ which had worked as a sufficient amount of energy to bring the insulation aging of insulator.

• Structural Engineering and Mechanics
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• v.70 no.5
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• pp.639-647
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• 2019

The performance of precast concrete structures is greatly influenced by the behaviour of beam-to-column connections. A single connection may be required to transfer several loads simultaneously so each one of those loads must be considered in the design. A good connection combines practicality and economy, which requires an understanding of several factors; including strength, serviceability, erection and economics. This research work focuses on the performance aspect of a specific type of beam-to-column connection using partly hidden corbel in precast concrete structures. In this study, the results of experimental assessment of the proposed beam-to-column connection in precast concrete frames was used. The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) for moment-rotation prediction of precast beam-to-column connections. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models was accessed based on simulation results and using several statistical indicators.