• Steel and Composite Structures
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• v.23 no.3
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• pp.351-362
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• 2017

This paper presents an experimental study on the behavior of composite floor slab comprised by a new steel sheet and concrete slab. The strength of composite slabs depends mainly on the strength of the connection between the steel sheet and concrete, which is denoted by longitudinal shear strength. The composite slabs have three main failures modes, failure by bending, vertical shear failure and longitudinal shear failure. These modes are based on the load versus deflection curves that are obtained in bending tests. The longitudinal shear failure is brittle due to the mechanical connection was not capable of transferring the shear force until the failure by bending occurs. The vertical shear failure is observed in slabs with short span, large heights and high concentrated loads subjected near the supports. In order to analyze the behavior of the composite slab with a new steel sheet, six bending tests were undertaken aiming to provide information on their longitudinal shear strength, and to assess the failure mechanisms of the proposed connections. Two groups of slabs were tested, one with 3000 mm in length and other with 1500 mm in length. The tested composite slabs showed satisfactory composite behavior and longitudinal shear resistance, as good as well, the analysis confirmed that the developed sheet is suitable for use in composite structures without damage to the global behavior.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3055-3073
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• 2019

In this paper, a new user identification method is presented using real environmental human-computer-interaction (HCI) behavior data to improve method usability. User behavior data in this paper are collected continuously without setting experimental scenes such as text length, action number, etc. To illustrate the characteristics of real environmental HCI data, probability density distribution and performance of keyboard and mouse data are analyzed through the random sampling method and Support Vector Machine(SVM) algorithm. Based on the analysis of HCI behavior data in a real environment, the Multiple Kernel Learning (MKL) method is first used for user HCI behavior identification due to the heterogeneity of keyboard and mouse data. All possible kernel methods are compared to determine the MKL algorithm's parameters to ensure the robustness of the algorithm. Data analysis results show that keyboard data have a narrower range of probability density distribution than mouse data. Keyboard data have better performance with a 1-min time window, while that of mouse data is achieved with a 10-min time window. Finally, experiments using the MKL algorithm with three global polynomial kernels and ten local Gaussian kernels achieve a user identification accuracy of 83.03% in a real environmental HCI dataset, which demonstrates that the proposed method achieves an encouraging performance.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.1009-1016
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• 2021

Productive human resources are important assets for companies in facing the global economic competition. The purpose of this study is to examine the effect of economic attitudes toward employees' job satisfaction as well as understanding the impact of economic attitudes toward employee productive behavior at "Sentra Tenun Ikat" in East Java. The research method applied in this study is quantitative research with an explanatory design, which is intended to gain a better understanding of the relationship between variables. The population in this study amounted to 394 participants from SMEs and joint business groups. Meanwhile, the sample was 197 people and collected using a proportional random sampling technique. The variable measurement was carried out by a questionnaire distributed to respondents, which consisted of thirty-five closed questions. Each question item provides five alternative answers. Furthermore, it is calculated using Structural Equation Modeling (SEM) undergoing the LISREL 8.80 program. The findings indicated that there was a positive influence of economic attitudes on employees' job satisfaction. Indeed, the positive value coefficient indicates that there is an effect that is directly proportional to economic attitudes toward employees' productive behavior through employee performance satisfaction, namely, the better the economic attitude taken, the higher the productive behavior of employees.

• The Korean Journal of Franchise Management
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• v.14 no.1
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• pp.57-74
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• 2023

Purpose: As global interest in environmental issues increases, the demand for green products/services is increasing. Companies are establishing eco-friendly policies to meet the changing expectations of customers. Therefore, this study aims to analyze the effect of eco-friendly behavior and third-party certification on trust, satisfaction, and loyalty as well as the mediating role of satisfaction based on SOR and signaling theory. Research design, data and methodology: This study collected data from 501 respondents who visited restaurant and analyzed using measurement model with SPSS 28.0 and SmartPLS 4. Results: First, restaurants' eco-friendly behavior and third-party certification (TPC) positively influenced trust while these did not influence satisfaction. Second, trust positively influenced satisfaction. Third, trust and satisfaction positively influenced loyalty. Fourth, TPC had stronger impact on trust and satisfaction compared to eco-friendly behavior in female group while TPC had stronger impact on trust in male group. Conclusions: This study emphasized the importance of TPC over eco-friendly behavior. Restaurants should maintain pro-environmental behaviors such as reducing single-use items while obtaining TPC such as ISO and LEED certifications to increase customer trust. It also found the importance of trust and satisfaction in securing loyal customers. Restaurants should make efforts to build bonds with customers through authentic marketing such as events that encourage customer participation.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.357-370
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• 2023

Purpose - This study examined the influence relationships between the impacts of tourism development, local attachment, and resident involvement and local residents' support and pro-environmental behavior intentions in Jeju Island. Design/methodology/approach - A questionnaire was distributed to the Jeju Island residents and 373 samples were used for the analysis. Findings - The results showed that the perceived positive impact of tourism development has a positive effect on local residents' support, while the negative impact has a negative effect. Local attachment has no significant effect on local residents' support, while local involvement positively affects local residents' support. The positive impact of tourism development has a negative effect on pro-environmental behavior intention, while the perceived negative impact has a positive effect. Finally, when analyzing the relationship between local attachment, local involvement, and local support for eco-friendly behavior intention, it was found that they all have a positive effect. Research implications or Originality - Theoretical and managerial implications and suggestions for future research are discussed.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.111-120
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• 2007

More accurate vehicle trajectory data are now readily available through Differential Global Positioning Systems (DGPS). A variety of research opportunities emerge with utilization of such high resolution traffic data. A novel approach of this study is to explore drivers' responsive behavior to variable message signs (VMS) by using individual vehicle trajectories extracted from in-vehicle DGPS data. Responsive characteristics of drivers traveling on urban freeways, which can be represented by speeds and acceleration rates, under the provision of real-time traffic information through VMS are statistically investigated. In addition to conducting an ANOVA test, probability density functions of acceleration rates were estimated. The findings of this study can be used to understand the impact of drivers' workload when providing VMS messages on traffic flow patterns. Furthermore, results can be important fundamentals to assist in conducting more realistic traffic simulations.

• Journal of Korean Tunnelling and Underground Space Association
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• v.17 no.3
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• pp.189-204
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• 2015

This paper presents the results of reduced scale model tests on the effect of fault zone characteristics on the tunnel deformation behavior. A series of model tests were carried out on deep tunnels considering different fault zone orientations and offset distance. The tunnelling process was simulated in the model tests using compressed air technique. During the tests, the tunnel and ground deformation were mainly monitored while reducing the pressure inside the tunnel and the relationship between the pressure level and the tunnel deformation were established. The results indicate that for a given offset distance the tunnel behavior is influenced the most when the fault zone dips vertically while smallest influence occurs when the fault zone dips 45 degrees.

• Steel and Composite Structures
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• v.33 no.6
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• pp.793-803
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• 2019

Concrete-filled steel tubular (CFST) beam-columns are widely used owing to their good performance. They have high strength, ductility, large energy absorption capacity and low costs. Externally stiffened CFST beam-columns are not used widely due to insufficient design equations that consider all parameters affecting their behavior. Therefore, effect of various parameters (global, local slenderness ratio and adding hoop stiffeners) on the behavior of CFST columns is studied. An experimental study that includes twenty seven specimens is conducted to determine the effect of those parameters. Load capacities, vertical deflections, vertical strains and horizontal strains are all recorded for every specimen. Ratio between outer diameter (D) of pipes and thickness (t) is chosen to avoid local buckling according to different limits set by codes for the maximum D/t ratio. The study includes two loading methods on composite sections: steel only and steel with concrete. The case of loading on steel only, occurs in the connection zone, while the other load case occurs in steel beam connecting externally with the steel column wall. Two failure mechanisms of CFST columns are observed: yielding and global buckling. At early loading stages, steel wall in composite specimens dilated more than concrete so no full bond was achieved which weakened strength and stiffness of specimens. Adding stiffeners to the specimens increases the ultimate load by up to 25% due to redistribution of stresses between stiffener and steel column wall. Finally, design equations previously prepared are verified and found to be only applicable for medium and long columns.

• Structural Engineering and Mechanics
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• v.51 no.3
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• pp.447-470
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• 2014

Numerical simulation of the non-linear behavior of (RC) structural walls subjected to severe earthquake ground motions requires a reliable modeling approach that includes important material characteristics and behavioral response features. The objective of this paper is to optimize a simplified method for the assessment of the seismic response and damage development analyses of an RC structural wall building using macro-element model. The first stage of this study investigates effectiveness and ability of the macro-element model in predicting the flexural nonlinear response of the specimen based on previous experimental test results conducted in UCLA. The sensitivity of the predicted wall responses to changes in model parameters is also assessed. The macro-element model is next used to examine the dynamic behavior of the structural wall building-all the way from elastic behavior to global instability, by applying an approximate Incremental Dynamic Analysis (IDA), based on Uncoupled Modal Response History Analysis (UMRHA), setting up nonlinear single degree of freedom systems. Finally, the identification of the global stiffness decrease as a function of a damage variable is carried out by means of this simplified methodology. Responses are compared at various locations on the structural wall by conducting static and dynamic pushover analyses for accurate estimation of seismic performance of the structure using macro-element model. Results obtained with the numerical model for rectangular wall cross sections compare favorably with experimental responses for flexural capacity, stiffness, and deformability. Overall, the model is qualified for safety assessment and design of earthquake resistant structures with structural walls.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.3
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• pp.429-436
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• 2013

This study considers how the fatigue behavior and probabilistic properties of SAE1055 steel are related to its hardness level. SAE1055 steel was heat-treated using induction hardening. Five types of specimens were prepared (A: base material, B: through hardened material with HV390, C: through hardened material with HV510, D: through hardened material with HV700, and E: surface hardened material with HV700). Fatigue tests were performed under a stress ratio of R = -1 using a 4-point rotary bending fatigue tester. The fatigue behaviors were greatly influenced by the hardness, but the fatigue limit did not increase over a hardness of HV510. In addition, the effect of the hardness level on the failure mechanism was evaluated using a scanning electron microscope. The probabilistic properties of the fatigue life were investigated using a probabilistic S-N approach, and the effect of the hardness level on these properties was evaluated using a residue analysis.