• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1409-1417
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• 2020

The purpose is to increase the likelihood of physical education students for employment in public institutions by examining the priority for hiring sports-related public institutions. The subject of the study was purposeful sampling of a total of 11 persons including 4 sports professors, 3 NCS experts in sports field, 2 judges from public sports institutions, and 2 personnel in charge of hiring public institutions. Through this process, from January 3 to March 12, 2020, the importance of priority was analyzed using hierarchical structure analysis using the main factors of NCS vocational basic competency. All data are coded so that statistical processing can be performed. Using SPSS/PC (ver. 21.0) for Windows, the hierarchical structure analysis was used for frequency analysis and priority determination. First, communication skills (.231), organizational comprehension skills (.177), resource management skills (.128), interpersonal skills (.110), vocational ethics (.082), problems in the major areas of recruitment of sports-related public institutions Solving ability (.061), information ability (.056), mathematical ability (.054), self-development ability (.052), and description ability (.049) were analyzed in order. Second, in terms of evaluation items, communication is communication skills (.442), mathematical skills are basic computation skills (.512), problem solving skills are thinking skills (.722), self-development skills are self-management skills (.587), Resource management ability was analyzed in order of time management ability (.531), interpersonal relationship ability as teamwork ability (.382), information ability in computer use ability (.677), technical ability in technology understanding ability (.599).

• Culinary science and hospitality research
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• v.15 no.3
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• pp.271-283
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• 2009

The purpose of this study is to make analyses on the importance and performance of the foodservice management, foodservice service, and the courses related to coffee in the colleges providing a coffee related curriculum, in order to determine which courses are required in the education programs for employees needed by the coffee restaurants as the employers' viewpoint. The analysis methods were frequency analysis, T-test and IPA analysis. The result are as followings. First, the performance was lower than the importance when it comes to importance and performance with the coffee related courses recognized by the staff in the coffee restaurants, particularly with a big gap in the theory of cost control and coffee theory. Second, in the IPA analysis of the importance and performance of the curriculum, quadrant - I as a weak item includes the cost control, foodservice marketing, and coffee theory courses. Quadrant - II includes the foodservice, coffee extraction practice, Espresso, Caffe Latte and Cappuccio, and Latte Art courses. Pertaining to the quadrant - III are those courses lack of the necessity, including the foodservice management, foodservice franchise, practical English in service, and coffee roasting. Quadrant - IV contains those course of less importance but of higher performance such as the practicum work experience. As part of limitations of study, specialties of staffs working for coffee franchise shops were not reflected due to lacking in pre-conducted studies and the samples couldn't be recognized to represent all coffee franchise shops since the sampling districts were restricted only to Seoul metropolitan area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3791-3805
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• 2016

The visual attention mechanism includes 2 attention models, the bottom-up (B-U) and the top-down (T-D), the physiology of which have not yet been accurately described. In this paper, the visual attention mechanism is regarded as a Bayesian fusion process, and a visual attention model based on particle filter is proposed. Under certain particular assumed conditions, a calculation formula of Bayesian posterior probability is deduced. The visual attention fusion process based on the particle filter is realized through importance sampling, particle weight updating, and resampling, and visual attention is finally determined by the particle distribution state. The test results of multigroup images show that the calculation result of this model has better subjective and objective effects than that of other models.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.223-233
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• 2020

The paper aims to examine the relationship of emotional intelligence on the project success, the causal relationship between emotional intelligence and project success, and also investigate the influence of emotional intelligence and the mediating role of transformational leadership as well as the moderating effect of organization commitment on the relationship between emotional intelligence and project success. Cross sessional research is applied to collect the data in this study. By applying quantitative research and survey question, the study collects 325 respondents who are the project managers. Snow-ball sampling method is used to distribute the questionnaires by face to face survey (68% of respondents) and online survey (32% of respondents). The collected data is analyzing by applying partial least square (PLS-SEM) via software SmartPLS 3.0.The result shows that the emotional intelligence and the transformational leadership making the project even more successful as the mediation actor. Furthermore, the project commitment also has the moderator effect between transformational leadership and project success. With the result of study, project managers should be aware of the importance of emotional intelligence and their commitment to the ability to manage projects successfully. A successful project is a combination of many actors, the most critical actor is the leader of the project.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.109-121
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• 2023

This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.2
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• pp.61.1-61.1
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• 2016

Black hole (BH) mass is a fundamental quantity to understand BH growth, galaxy evolution, and connection between them. Thus, obtaining accurate and precise BH mass estimates over cosmic time is of paramount importance. The rest-frame UV CIV ${\lambda}1549$ broad emission line is commonly used for BH mass estimates in high-redshift AGNs (i.e., $2{\leq}z{\leq}5$) when single-epoch (SE) optical spectra are available. Achieving correct and accurate calibration for CIV-based SE BH mass estimators against the most reliable reverberation-mapping based BH mass estimates is thus practically important and still useful. By performing multi-component spectral decomposition analysis to obtained high-quality HST UV spectra for the updated sample of local reverberation-mapped AGNs including new HST STIS observations, CIV emission line widths and continuum luminosities are consistently measured. Using a Bayesian hierarchical model with MCMC sampling based on Hamiltonian Monte Carlo algorithm (Stan NUTS), we provide the most consistent and accurate calibration of CIV-based BH mass estimators for the three line width characterizations, i.e., full width at half maximum (FWHM), line dispersion (${\sigma}_{line}$), and mean absolute deviation (MAD), in the extended BH mass dynamic range of log $M_{BH}/M_{\odot}=6.5-9.1$.

• Journal of Veterinary Clinics
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• v.32 no.4
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• pp.319-323
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• 2015

The performance of diagnostic test accuracy is usually summarized by a variety of statistics such as sensitivity, specificity, predictive value, likelihood ratio, and kappa. These indices are most commonly presented when evaluations of competing diagnostic tests are reported, and it is of utmost importance to compare the accuracies of diagnostic tests to decide on the best available test for certain medical disorder. However, it is important to emphasize that specific point values of these indices are merely estimates. If parameter estimates are reported without a measure of uncertainty (precision), knowledgeable readers cannot know the range within which the true values of the indices are likely to lie. Therefore, when evaluations of diagnostic accuracy are reported the precision of estimates should be stated in parallel. To reflect the precision of any estimate of a diagnostic performance characteristic or of the difference between performance characteristics, the computation of confidential interval (CI), an indicator of precision, is widely used in medical literatures in that CIs are more informative to interpret test results than the simple point estimates. The majority of peer-reviewed journals usually require CIs to be specified for descriptive estimates, whereas domestic veterinary journals seem less vigilant on this issues. This paper describes how to calculate the indices and associated CIs using practical examples when assessing diagnostic test performance.

• Wind and Structures
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• v.28 no.4
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• pp.225-238
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• 2019

In this paper a novel and efficient computational framework to estimate the stress range versus number of cycles curves experienced by a cable due to external excitations (e.g., seismic excitations, traffic and wind-induced vibrations, among others) is proposed. This study is limited to the wind-cable interaction governed by the Vortex Shedding mechanism which mainly rules cables vibrations at low amplitudes that may lead to their failure due to bending fatigue damage. The algorithm relies on a stochastic approach to account for the uncertainties in the cable properties, initial conditions, damping, and wind excitation which are the variables that govern the wind-induced vibration phenomena in cables. These uncertainties are propagated adopting Monte Carlo simulations and the concept of importance sampling, which is used to reduce significantly the computational costs when new scenarios with different probabilistic models for the uncertainties are evaluated. A high fidelity cable model is also proposed, capturing the effect of its internal wires distribution and helix angles on the cables stress. Simulation results on a 15 mm diameter high-strength steel strand reveal that not accounting for the initial conditions uncertainties or using a coarse wind speed discretization lead to an underestimation of the stress range experienced by the cable. In addition, parametric studies illustrate the computational efficiency of the algorithm at estimating new scenarios with new probabilistic models, running 3000 times faster than the base case.

• The Journal of Economics, Marketing and Management
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• v.4 no.4
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• pp.17-24
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• 2016

The purpose of the present study is to investigate the relationship between Management bonuses and earnings stability of the listed companies on the Tehran Stock Exchange (TSE). The population includes 94 firms selected through systematic sampling. The data is collected from the audited financial statements of the firms provided by TSE's website from 2009 to 2016. The results of multiple linear regression analysis show that there is a significant relationship between Management bonuses and earnings stability. The aim of this study primarily investigating the relationship between earnings stability and management bonus. In the case of this target, the next goal of this research is to develop a proposal for legislation in the domain of capital market, students and faculty as well as accounting information users provide research interests. Observations show many companies despite the decline in profitability, bonus managers to continually pay. Increase in listed companies Stock Exchange as well as the importance of communication between earnings quality and bonus managers in Financial Accounting the authors created an incentive to research about this relationship do. The results of this research could be the development of literature done in the past. Thus, more knowledge about the issue of sustainability and its relation to bonus managers the users of accounting information, accounting courses provide students and faculty.

• Nuclear Engineering and Technology
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• v.56 no.7
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• pp.2748-2755
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• 2024

This paper presents two new methods for variance reduction for shielding calculation in Monte Carlo radiation transport. One method is CADIS-NEE, which combines Consistent Adjoint Driven Importance Sampling (CADIS) and next-event estimator (NEE) methods to increase the calculation efficiency of tallies at points. The other is CADIS-deterministic transport (DXTRAN), which combines CADIS and DXTRAN to obtain higher performance than using CADIS and DXTRAN separately. The combination processes are derived and implemented in the hybrid Monte-Carlo-Deterministic particle-transport code NECP-MCX. Various problems are tested to demonstrate the effectiveness of the two methods. According to the results, the two combination methods have higher efficiency than using CADIS, NEE or DXTRAN separately. In a long-distance photon-transport problem, CADIS-NEE converges faster than NEE and the figure of merit (FOM) of CADIS-NEE is 75.6 times of NEE. In a labyrinthine problem, CADIS-DXTRAN's FOM surpasses that of DXTRAN and CADIS by a factor of 45.3 and 17.7, respectively. Therefore, it is advisable to employ these two novel methods selectively in appropriate scenarios to reduce variance.