• Nuclear Engineering and Technology
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• v.54 no.6
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• pp.2147-2155
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• 2022

Nuclear safety-related underground liquid storage tanks, such as those used to store fuel for emergency diesel generators, are critical components for safety of hundreds of existing nuclear power plants (NPP) worldwide. Since most of those NPP will continue to operate for decades, a beyond design base (BDB) seismic screening of safety-related underground tanks in those NPP is beneficial and essential to public safety. The analytical methodology for buried tank subjected to seismic effect, including a BDB seismic evaluation, needs to consider both soil-structure and fluid-structure interaction effects. Comprehensive analysis of such a soil-structure-fluid system is costly and time consuming, often subjected to availability of state-of-art finite element tools. Simple, but practically and reasonably accurate techniques for seismic evaluation of underground liquid storage tanks have not been established. In this study, a mechanics based solution is proposed for the evaluation of a cylindrical underground liquid storage tank using hand calculation methods. For validation, a practical example of two underground diesel fuel tanks in an existing nuclear power plant is presented and application of the proposed method is confirmed by using published results of the computer-aided System for Analysis of Soil Structural Interaction (SASSI). The proposed approach provides an easy to use tool for BDB seismic assessment prior to making decision of applying more costly technique by owner of the nuclear facility.

• Structural Engineering and Mechanics
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• v.82 no.3
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• pp.325-341
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• 2022

Previous major earthquakes indicated that the earthquake induced ground motions are typical non-stationary processes, which are non-stationary in both amplification and frequency. For the convenience of aseismic design and analysis, it usually assumes that the ground motions at structural supports are stationary processes. The development of time-frequency analysis technique makes it possible to evaluate the non-stationary responses of engineering structures subjected to non-stationary inputs, which is more general and realistic than the analysis method commonly used in engineering. In this paper, the wavelet-based stochastic vibration analysis methodology is adopted to calculate the non-stationary responses of multi-support structures. For comparison, the stationary response based on the standard random vibration method is also investigated. A frame structure and a two-span bridge are analyzed. The effects of non-stationary spatial ground motion and local site conditions are considered, and the influence of structural property on the structural responses are also considered. The analytical results demonstrate that the non-stationary spatial ground motions have significant influence on the response of multi-support structures.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.241-251
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• 2021

Purpose - Drawing on the content-process approach, this study examines the effect of employees' perceived utility of education and training in small and medium enterprises (SMEs) on their satisfaction. In addition, this study investigates how the human resource management department' activities moderate the relationship between employees' perceived utility of education and training and satisfaction. Design/methodology/approach - This study predicts the positive relationship between employees' perceived utility of education and training and satisfaction, and HR activities strengthens this positive relationship. To test these hypotheses, this study utilized Human Capital Corporate Panel (HCCP) datasets, especially 2017 data at the individual level. The number of the final sample is 425 for the test. Moreover, this study used the hierarchical regression model with SPSS. Finding - As predicted, the analytical results with the hierarchical regression model showed that employees' percieved utility of education and training and satisfaction were positively related. In addition, HR activities strengthened this relationship between employees' percieved utility of education and training and satisfaction. Research implications or Originality - This study will provide academic and practical implications for future research on human resource development, especially SMEs by deepening an understanding of the important factors in order to increase employees' satisfaction of education and training. the number of viewers is found in most American films released in Korea.

• Journal of Sensor Science and Technology
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• v.32 no.1
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• pp.39-43
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• 2023

Microscale thermophysical property measurements of liquids have been developed considering the increasing interest in the thermal management of cooling systems and energy storage/transportation systems. To accurately predict the heat transfer performance, information on the thermal conductivity, heat capacity, and density is required. However, a simultaneous analysis of the thermophysical properties of small-volume liquids has rarely been considered. Recently, we proposed a new methodology to simultaneously analyze the aforementioned three intrinsic properties using heater-integrated fluidic resonators (HFRs) in an atmospheric pressure environment comprising a microchannel, resistive heater/thermometer, and mechanical resonator. Typically, the thermal conductivity and volumetric heat capacity are measured based on a temperature response resulting from heating using a resistive thermometer, and the specific heat capacity can be obtained from the volumetric heat capacity by using a resonance densitometer. In this study, we analyze methods to improve the thermophysical property measurement performance using HFRs, focusing on the effect of the ambience around the sensor. The analytical method is validated using a numerical analysis, whose results agree well with preliminary experimental results. In a vacuum environment, the thermal conductivity measurement performance is enhanced, except for the thermal conductivity range of most gases, and the sensitivity of the specific heat capacity measurement is enhanced owing to an increase in the time constant.

• Journal of Distribution Science
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• v.21 no.9
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• pp.93-102
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• 2023

Purpose: This study attempts to analyze the current status of the railway logistics business and to seek ways to improve it by using the business model as an analytical framework. It was intended to reflect practical implications that could be applied to the field, by dealing with issues at the industrial site related to each component in the business model. Research design, data and methodology: This study was conducted through literature review and field research. We analyzed academic papers and industrial reports on the development of the railway logistics industry and interviewed various stakeholders in the railway logistics industry. Results: This study determined the factors that could be eliminated, raised, reduced, or created from the customer and product perspective, infrastructure management perspective, and financial perspective. Conclusions: The growth of existing business can be achieved by lowering service prices, improving service quality, and securing large-scale transportation capacity. The additional transportation of high value goods and cold chain commodities will be promising business opportunities. Existing services can be provided to new customers (large pre-shippers, forwarding customers, etc.) in order to increase the size of sales Urban delivery services and comprehensive logistics services based on complex logistics centers may open an avenue for new market. A more timetable and track capacity need to be assigned to logistics, which significantly improve the flexibility and the competency of railway logistics.

• Earthquakes and Structures
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• v.23 no.2
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• pp.197-206
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• 2022

Recently, steel-timber hybrid buildings have become prevalent worldwide because several advantages of both steel and timber structures are maintained in the hybrid system. In Taiwan, seismic design specification related to steel-timber hybrid buildings remains void. In this study, the ductility capacity of steel-timber hybrid buildings in Taiwanese seismic design specification is first proposed and evaluated using nonlinear incremental dynamic analysis (IDA). Three non-linear structural models, 12-story, 8-story, and 6-story steel-timer hybrid buildings were constructed using OpenSees. In each model, Douglas-fir was adopted to assemble the upper 4 stories as a timber structure while a conventional steel moment-resisting frame was designated in the lower part of the model. FEMA P-695 methodology was employed to perform IDAs considering 44 earthquakes to assess if the ductility capacity of steel-timber hybrid building is appropriate. The analytical results indicate that the current ductility capacity of steel moment-resisting frames can be directly applied to steel-timber hybrid buildings if the drift ratio of each story under the seismic design force for buildings in Taiwan is less than 0.3%. As a result, engineers are able to design a steel-timber hybrid building straightforwardly by following current design specification. Otherwise, the ductility capacity of steel-timber hybrid buildings must be modified which depends on further studies in the future.

• Journal of Distribution Science
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• v.20 no.3
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• pp.13-22
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• 2022

Purpose: Thisstudy aims to measure the attitudes of Generation Z in Jakarta towards advertisements containingCOVID-19 information. Research design, data and methodology: This study is a quantitative method with partial least square structural equation modeling (PLS-SEM) with SMART PLS as an analytical tool. The sample size is 216 participants was obtained randomly through a questionnaire distributed online. This study consisted of exogenous variables (advertising content, value, irritation, and economic benefits), endogenous variables (attitudes towards advertising), and some moderating roles. Results: The results of thi study explain that this generation's attitude towards advertising is affected by the content and value aspects embedded in advertisements. Value can be formed from creativity in making advertising content as interesting and informative as possible. Interestingly, this study also found that the irritation aspect and economic benefits had no effect on the audience's attitude towards the advertisement. Neither the irritating aspect of advertising nor the economic value that is formed acts as a moderator of the content and the value of the ad. Conclusions: The ongoing pandemic and periodic adjustments to government policies regarding COVID-19, these results can be compared with other advertisements for future studies, especially those using the same variables as this study.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.1
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• pp.59-69
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• 2022

Purpose - Burnouts cause the workers to quit their jobs because with the heavy workloads that the employees get subjected to, they feel that they have little control over what they have to accomplish in the workplace. The purpose of this research is to provide adequate solutions using brief consultation process, reducing negative psychological factors. Research design, Data, and methodology - The current research conducted the 'Qualitative Content Analysis' (QCA), which is one of the most employed analytical tools; it has been used widely all over the globe in various research applications in library science and information. Primarily, this analysis is often used as a method in the quantitative tool until the recent decade. Result - Based on ultimate systematic literature analysis, excessive workloads can get addressed by finding proper solutions to the issues of depression, anxiety, irritability, and discouragement. The solutions are (1) Combating Excessive Workloads using Effective Employee Selection, (2) Employee Effective training, and (3) Job redesigning. Conclusion - Selecting or recruiting employees that have skills for the given job also makes it possible for the organization to run its employees effectively and with minimal cases of workload as an organization understands the capabilities and capacities of workload an employee can complete.

• Journal of Distribution Science
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• v.21 no.1
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• pp.65-72
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• 2023

Purpose: The purpose of this study was to determine the effect of Service Quality on Brand Performance through Satisfaction at an aviation campus in the Special Region of Yogyakarta, Indonesia. Research design, data, and methodology: This research design was hypothesis testing using primary data obtained by distributing questionnaires directly to 200 respondents who were active students at an aviation campus in the Special Region of Yogyakarta, Indonesia. The analytical method used was the Structure Equation Model (SEM). Results: The results of this study show that: (1) there was a significant and positive relationship between Service Quality and Satisfaction, (2) there was a significant and positive relationship between Satisfaction with Brand Performance, and (3) there was a significant and positive relationship between Service Quality and Brand Performance. Conclusion: This study concludes that for the dimension of Academic service quality distribution from the service quality variable, it is suggested to improve detailed recording by academic teaching staff. For the dimensions of Administrative Service Quality distribution from the Service Quality variable, it is recommended to increase the hospitality in the campus environment. For the dimensions of Facility Service Quality distribution from the Service Quality variable, it is recommended to increase satisfaction in terms of facilities on campus. For the Satisfaction variable, it is suggested to improve the performance of the staff and the academic community.

• Smart Structures and Systems
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• v.29 no.5
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• pp.729-746
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• 2022

In this paper, a nonlinear structural model updating methodology based on the Deep Belief Network (DBN) is proposed. Firstly, the instantaneous parameters of the vibration responses are obtained by the discrete analytical mode decomposition (DAMD) method and the Hilbert transform (HT). The instantaneous parameters are regarded as the independent variables, and the nonlinear model parameters are considered as the dependent variables. Then the DBN is utilized for approximating the nonlinear mapping relationship between them. At last, the instantaneous parameters of the measured vibration responses are fed into the well-trained DBN. Owing to the strong learning and generalization abilities of the DBN, the updated nonlinear model parameters can be directly estimated. Two nonlinear shear-type structure models under two types of excitation and various noise levels are adopted as numerical simulations to validate the effectiveness of the proposed approach. The nonlinear properties of the structure model are simulated via the hysteretic parameters of a Bouc-Wen model and a Giuffré-Menegotto-Pinto model, respectively. Besides, the proposed approach is verified by a three-story shear-type frame with a piezoelectric friction damper (PFD). Simulated and experimental results suggest that the nonlinear model updating approach has high computational efficiency and precision.