• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.5
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• pp.577-585
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• 2012

Modeling & simulation-based battle experiments(BEx) is being used extensively as an efficient, scientific and rational verification methodology for maritime weapon system acquisition. However, research of definition and concept of BEx and standardized rules and process for the BEx are insufficient in recent military field of BEx. In this study, we discussed the definition and process of BEx based on the role of MND(including JCS), Navy and ADD and proposed the standardized process of BEx for maritime weapon system. Secondly suggested a evaluation methods of modeling and simulation-based BEx with MOP, MOF, MOE in linkage of engineering, engagement, mission and constructive model. Finally presented validate result that applied to the Torpedo using standardized process based on our proposed methodology.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.351-357
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• 2013

This research studied that the effect of consulting local SMEs focusing on the effective factors related to quality of theoretical study and the previous studies according to research model and research hypotheses. Also, in this empirical analysis, analyzed the consulting performance that distinguish such as consulting procedures quality, consulting adaptation, consultant emotional intelligence and efforts factors. Second, in relationship with consulting adaptation and performance, statistically significant relationship showed weak. Finally, the quality of the consultant engagement and emotional intelligence was analyzed high significance. Therefore, this study further accounting information systems consultant at consultant emotional intelligence factors can expect a useful guidelines.

• IMMUNE NETWORK
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• v.11 no.6
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• pp.428-430
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• 2011

We previously demonstrated that in vivo engagement of CD137, a member of TNF receptor superfamily, can delete allorective $CD4^+$ T cells through the induction of activation-induced cell death (AICD) in chronic graft-versus-host disease (cGVHD) and subsequently reverse established cGVHD. In this study, we further showed that agonistic anti-CD137 mAb was highly effective in triggering AICD of donor $CD8^+$ T cells as well as donor $CD4^+$ T cells in the $C57BL/6{\rightarrow}unirradiated$ $(C57BL/6\;{\times}\;DBA/2)F1$ acute GVHD model. Our results suggest that strong allostimulation should facilitate AICD of both alloreactive $CD4^+$ and $CD8^+$ T cells induced by CD137 stimulation. Therefore, depletion of pathogenic T cells using agonistic anti-CD137 mAb combined with potent TCR stimulation may be used to block autoimmune or inflammatory diseases mediated by T cells.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.277-284
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• 2021

This study was conducted to determine the factors affecting employees' engagement in Information Technology (IT) enterprises in Vietnam. Quantitative method was used to test the research model. Research data is collected through a survey of 205 employees working in Ho Chi Minh City - Vietnam IT enterprises. The research results show that all seven factors affecting OC are ability, remuneration, training/development, challenging work, teamwork relationship, company policy, and culture, and work environment all make sense. In which, WOE, TER, REM factors are the three most influential factors, while company CPC, T&D, CHW, ABI have a lower impact. The proposed management implications include building, providing, ensuring a good working environment for employees, building/developing relationships within the company, having a policy of salary, bonus, support, and incentives. In addition, appropriate, competitive remuneration, adequate incentives, and rewards for the efforts that the employee has made, training and development of skills and soft skills suitable for each type of work, development orientations for employees, as well as frequent rotation of positions and jobs, in addition to improving employees' capacity, also avoid causing boredom and loss of motivation at work, thereby increasing OC of employees in IT enterprises in Vietnam.

• International Journal of Contents
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• v.15 no.1
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• pp.32-38
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• 2019

In an environment where a large number of weapons are operated compared to a large number of ground targets, it is important to monitor and manage the targets to set up a fire plan, and through their multilateral analysis, to equip them with a priority order process for targets having a high threat level through the quantitative calculation of the threat level. Existing studies consider the anti-aircraft and anti-ship targets only, hence, it is impossible to apply the existing algorithm to ground weapon system development. Therefore, we proposed an effective threat evaluation algorithm for multiple ground targets in multi-target and multi-weapon environments. Our algorithm optimizes to multiple ground targets by use of unique ground target features such as proximity degree, sorts of weapons and protected assets, target types, relative importance of the weapons and protected assets, etc. Therefore, it is possible to maximize an engagement effect by deducing an effective threat evaluation model by considering the characteristics of ground targets comprehensively. We carried out performance evaluation and verification through simulations and visualizations, and confirmed high utility and effect of our algorithm.

• Korean Journal of Childcare and Education
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• v.15 no.3
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• pp.21-38
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• 2019

Objective: The goal of this study was to investigate the effects of early childhood teachers' current working conditions such as welfare and wages, working hours, ECEC center's environmental characteristics, and parental involvement and community engagement on the professionalism of teachers. Method: A total of 988 respondents participated in the nationwide online survey. The data were analyzed by correlation analysis and structual equation modeling. Results: First, there were no statistically significant direct effects of ECEC teachers' working conditions on teacher professionalism. Second, there were significant direct effects of teacher efficacy and well-being on teacher professionalism. Third, there were significant indirect effects of teachers' working conditions on their professionalism, via efficacy and well-being, linking the impact of working conditions and the professionalism of teachers. Conclusion/Implication: The results of this structural model imply that policy input for teacher welfare, wage increases, and the enhancement of teachers' well-being and efficacy are valid and significant for the professional development of ECEC teachers. These results provide the data-driven evidence for the importance of welfare and socio-cognitive approaches for teachers.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.283-294
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• 2022

This holistic research focused on the interactive relationship of different factors with a unique relationship with the dependent variable. The first research objective of the study was to identify the most significant factor that has an impact on Job performance while being mediated. The second objective was to see the moderating effect of gender on the relationship between transformation leadership and innovation on job performance. This research followed a purely quantitative research paradigm with a structured questionnaire to quantify the information collected from 96 respondents for the empirical analysis. For testing the research hypotheses, IBM SPSS version 24 and SmartPLS version 3.2.8 softwares were used to run the structural equation modeling to establish the causal relationship between the study variables. Most of the variables were found with a significant impact on job performance. Further, the hypotheses H³, H⁶, and H¹⁰ were rejected as these contributed insignificant towards the research model. This research was limited to specific educational institutions and businesses, and the timeframe was restrictive. The findings of this research can benefit policymakers and the operational side of various industries. Future research may consider the difference in gender in predicting employee engagement through leadership and innovation.

• Advances in nano research
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• v.12 no.5
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• pp.489-499
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• 2022

Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, nanoparticles and base fluids characteristics, pH, ultrasonic power and frequency, agitation time, and surfactant type and concentration, determine the nanofluid stability regime. Indeed, it is often too complicated and even impossible to accurately find the conditions resulting in a stabilized nanofluid. Furthermore, there are no empirical, semi-empirical, and even intelligent scenarios for anticipating the stability of nanofluids. Therefore, this study introduces a straightforward and reliable intelligent classifier for discriminating among the stability regimes of alumina-water nanofluids based on the Zeta potential margins. In this regard, various intelligent classifiers (i.e., deep learning and multilayer perceptron neural network, decision tree, GoogleNet, and multi-output least squares support vector regression) have been designed, and their classification accuracy was compared. This comparison approved that the multilayer perceptron neural network (MLPNN) with the SoftMax activation function trained by the Bayesian regularization algorithm is the best classifier for the considered task. This intelligent classifier accurately detects the stability regimes of more than 90% of 345 different nanofluid samples. The overall classification accuracy and misclassification percent of 90.1% and 9.9% have been achieved by this model. This research is the first try toward anticipting the stability of water-alumin nanofluids from some easily measured independent variables.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.91-97
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• 2023

In the current era of globalization, financial and banking organizations have been facing ever-growing challenges in the global market regarding retention, customer satisfaction, commitment, engagement, proper services, and the belief of their employees. Employees are regarded as an enormous asset for every organization that plays an important role in achieving the vision of the company. The objective of this study is to explore the determinants of bank employee retention and its impact on an organization in the context of Bangladesh. In terms of research purpose, non-probability convenience sampling has been used in this study, and the targeted population was the commercial bank employees of Bangladesh. In terms of data collection, the researchers have used the adopted questionnaires from previous studies. In this study, the total sample size was 180, and a questionnaire was sent to the respondents through e-mails. For analyzing the collected data, SPSS 26.0 version has been used to test the study model and the proposed hypotheses. This study shows that there were four independent variables training and development, organizational culture, job satisfaction, and career development have a positive and significant impact on employee retention. So, the bank management should organize the retention program for the welfare of the employees.

• Journal of Distribution Science
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• v.20 no.8
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• pp.123-133
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• 2022

Purpose: As moment-based marketing messages (i.e., messages related to current moments or event), companies put significant investments to distribute TV advertising related to external moments in a retail environment. While the literature offers strong support for the value of distributions of context-based messaging to advertisers, less attention has been given to how to design those messages to effectively communicate across channels. This research adds a new dimension of analysis to the study of advertising context and its cross-channel effects on online consumer behavior. Research Design, Data and Methodology: A system-of-equations Tobit regression model was adopted using data collected from an advertising agency that consists of 1,223 TV ads aired during the Rio Olympics and NCAA, tagging from consumers, and a text analysis. Results: First, TV ads with high centrality of context lead to lower online search behavior and higher online social actions. Second, how brands can design messages more effectively was explored by using product information as a moderator that could improve the impact of context-based TV advertisements. Conclusions: Given that expenses in traditional channels are still one of the biggest channel management decisions, it is critical to understand how consumer engagement varies by design of context-based TV advertising.