• International conference on construction engineering and project management
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• 2022.06a
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• pp.353-360
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• 2022

Due to the dense and complicated working environment, the construction industry is susceptible to many accidents. Worker's fall is a severe problem at the construction site, including falling into holes or openings because of the inadequate coverings as per the safety rules. During the construction or demolition of a building, openings and holes are formed in the floors and roofs. Many workers neglect to cover openings for ease of work while being aware of the risks of holes, openings, and gaps at heights. However, there are safety rules for worker safety; the holes and openings must be covered to prevent falls. The safety inspector typically examines it by visiting the construction site, which is time-consuming and requires safety manager efforts. Therefore, this study presented a worker-driven approach (the worker is involved in the reporting process) to facilitate safety managers by developing integrated computer vision and inertia sensors-based mobile applications to identify openings. The TensorFlow framework is used to design Convolutional Neural Network (CNN); the designed CNN is trained on a custom dataset for binary class openings and covered and deployed on an android smartphone. When an application captures an image, the device also extracts the accelerometer values to determine the inclination in parallel with the classification task of the device to predict the final output as floor (openings/ covered), wall (openings/covered), and roof (openings / covered). The proposed worker-driven approach will be extended with other case scenarios at the construction site.

• Structural Engineering and Mechanics
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• v.85 no.4
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• pp.531-543
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• 2023

The existing concrete bridges are time-varying working systems, where the maintenance strategy should be planned according to the time-varying performance of the bridge. This work proposes a time-dependent residual capacity assessment procedure, which considers the non-stationary bridge load effects under growing traffic and non-stationary structural deterioration owing to material degradations. Lifetime bridge load effects under traffic growth are predicated by the non-stationary peaks-over-threshold (POT) method using time-dependent generalized Pareto distribution (GPD) models. The non-stationary structural resistance owing to material degradation is modeled by incorporating the Gamma deterioration process and field inspection data. A three-span continuous box-girder bridge is illustrated as an example to demonstrate the application of the proposed procedure, and the time-varying reliability indexes of the bridge girder are calculated. The accuracy of the proposed non-stationary POT method is verified through numerical examples, where the shape parameter of the time-varying GPD model is constant but the threshold and scale parameters are polynomial functions increasing with time. The case study illustrates that the residual flexural capacities show a degradation trend from a slow decrease to an accelerated decrease under traffic growth and material degradation. The reliability index for the mid-span cross-section reduces from 4.91 to 4.55 after being in service for 100 years, and the value is from 4.96 to 4.75 for the mid-support cross-section. The studied bridge shows no safety risk under traffic growth and structural deterioration owing to its high design safety reserve. However, applying the proposed numerical approach to analyze the degradation of residual bearing capacity for bridge structures with low safety reserves is of great significance for management and maintenance.

• Geomechanics and Engineering
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• v.31 no.3
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• pp.249-263
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• 2022

The specially-shaped Polycrystalline Diamond Compact (PDC) cutter is widely used in drill bit design due to its advantages of high rock cutting efficiency, strong impact resistance and long service life in hard and abrasive formation drilling. A detailed understanding of rock cutting behavior of worn specially-shaped PDC cutter is essential to improve the drilling efficiency and decrease the drilling costs. In this paper, the theoretical models of two new principles (loading performance (LP) and cutting performance (CP)) are derived for evaluating the cutting process of worn specially-shaped cutter, the theoretical models consider the factors, such as cutter geometry, aggressiveness, stress state, working life, and rock cutting efficiency. Besides, the numerical model of heterogeneous granite is developed using finite element method combined with Voronoi tessellation, the LP and CP of 12 kinds of worn specially-shaped PDC (SPDC) cutters are analyzed. The results found that the mechanical specific energy (MSE) of worn cutters first increase and then decrease with increasing the cutting depth, and the MSE increase with the increase of back rake angle except for Conical cutter and Wedge-shaped cutter. From the perspective of CP, the worn PDC cutters are more suitable for the smaller cutting depths, and the back rake angle has little effect on the CP of the specially-shaped worn PDC cutters. Conical cutter, Saddle-shaped cutter and Ellipse-shaped cutter have the highest CP value, while Rhombus-shaped cutter, Convex cutter and Wedge-shaped cutter have the lowest value in selecting cutters. This research leads to an enhanced understanding of rock-breaking mechanisms of worn SPDC cutters, and provides the basis to select of specially-shaped PDC cutters for the specific target formation.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.63-84
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• 2023

Purpose - The purpose of this study is to examine the effect of CSR activities on innovation performance and to identify the mediating role of knowledge sharing and innovation behaviors between CSR activities and innovation performance. In addition, the purpose of this study is to verify the role of sequential mediating effect of knowledge sharing and innovation behavior between CSR activities and innovation performance. Design/methodology/approach - This study collected survey data from 293 organizational members working in Chinese companies. The exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis, correlation analysis and process macro were used in order to analyze the data. Findings - First, this study verified that CSR activities had a significant positive effect on knowledge sharing, innovation behavior, and innovation performance. Second, it was found that knowledge sharing had a significant positive effect on innovation behavior and innovation performance. Third, it was verified that innovation behavior had a significant positive effect on innovation performance. Fourth, knowledge sharing and innovation behavior had a sequential mediating effect in the relationship between CSR activities and innovation performance. Research implications or Originality - With the uncertainty of the environment and the intensification of competition among companies, more and more companies begin to pay attention to innovation. Different from existing studies, this study focuses on CSR activities, identifies the role of CSR activities, explores ways to guide innovation performance, and verifies the sequential mediating role of knowledge sharing and innovation behavior. Through this measure, the importance of knowledge sharing and innovative behavior among organizational members is emphasized, solutions to strengthen innovation are explored, and theoretical and practical implications are provided for companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3383-3397
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• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.

• Nuclear Engineering and Technology
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• v.56 no.3
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• pp.880-885
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• 2024

For Safety Assisted Engineering works, real-time simulators have emerged as a mandatory tool among all the key actors involved in the nuclear industry (utilities, designers and safety authorities). EDF, Electricité de France, as the leading worldwide nuclear power plant operator, has a crucial need for efficient and updated simulation tools for training, operating and safety analysis support. This paper will present the work performed at EDF/DT to develop a new generation of engineering simulator to fulfil these tasks. The project is called SiRENE, which is the acronym of Re-hosted Engineering Simulator in French. The project has been economically challenging. Therefore, to benefit from existing tools and experience, the SiRENE project combines: - A part of the process issued from the operating fleet training full-scope simulator. - An improvement of the simulator prediction reliability with the integration of High-Fidelity models, used in Safety Analysis. These High-Fidelity models address Nuclear Steam Supply System code, with CATHARE thermal-hydraulics system code and neutronics, with COCCINELLE code. - And taking advantage of the last generation and improvements of instructor station. The intensive and challenging uses of the new SiRENE engineering simulator are also discussed. The SiRENE simulator has to address different topics such as verification and validation of operating procedures, identification of safety paths, tests of I&C developments or modifications, tests on hydraulics system components (pump, valve etc.), support studies for Probabilistic Safety Analysis (PSA). etc. It also emerges that SiRENE simulator is a valuable tool for self-training of the newcomers in EDF nuclear engineering centers. As a modifiable tool and thanks to a skillful team managing the SiRENE project, specific and adapted modifications can be taken into account very quickly, in order to provide the best answers for our users' specific issues. Finally, the SiRENE simulator, and the associated configurations, has been distributed among the different engineering centers at EDF (DT in Lyon, DIPDE in Marseille and CNEPE in Tours). This distribution highlights a strong synergy and complementarity of the different engineering institutes at EDF, working together for a safer and a more profitable operating fleet.

• Journal of Korean Society for Quality Management
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• v.52 no.2
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• pp.241-254
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• 2024

Purpose: This paper investigated the effects of issue leadership on employees' work performance. It also explored the mediating role of job challenge in the above relationship. We also tested the moderating effect of psychological ownership in the relationship between issue leadership and job challenge. Finally, this paper examined the moderated mediation effect of psychological ownership in the course of affecting issue leadership on work performance via job challenge. Methods: This paper used a cross-sectional design with questionnaires administered to 390 employees working in Korean firms. It applied an hierarchical and multi-regression analysis by using SPSS 22.0 and Hayes' Macro Process to test the proposed hypotheses including a moderated mediation model. Results: As a result of the analysis, first, it was found that the issue leadership had a positive effect on the work performance. Second, it was also found that issue leadership had a positive effect on the job challenge. In addition, job challenge was found to positive mediating effect in the relationship between issue leadership and work performance. Third, we found that the psychological ownership positively moderated the relationship between issue leadership and job challenge. Finally, the moderated mediating effect was found by confirming that the higher the degree of psychological ownership, the stronger the effect of issue leadership on the work performance via job challenge. Conclusion: This paper contributes to the leadership and work performance studies by identifying the role of issue leadership enhancing employee work performance while confirming connection mechanism and boundary conditions strengthening the positive effect of issue leadership on employee work performance.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.2
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• pp.185-190
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• 2006

This study carried out an evaluation of an oil tank that was defective in structure. This paper is divided into two sections which are analysis for the working process and suggestion for improving on the structure of the oil tank. As stated above, it has three major factors as to an improvement, such as the life cycle of structure (especially physical life cycle), and the many factors related to the duration years of the oil tank and analysis result. Based on this study, the improvement of oil tank was established. For example, the ground investigation needs before design and construction of oil tank, and constructing the oil tank by retaining wall type tank is good for maintenance. Also, it is important that the system for drainage is related to maintenance.

• Human Ecology Research
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• v.62 no.3
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• pp.573-583
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• 2024

Smart devices have become an essential part of human life; however, excessive dependency on these devices has become a serious issue for both children and adults. In this study, a research model was developed which hypothesized that mothers' smartphone addiction influences children's media dependency, and that this effect is sequentially mediated by mothers' work-family strains and parental monitoring. To test this hypothesis, an analysis of data from the 13th Wave of Panel Study on Korean Children (PSKC), conducted in 2020, was performed. The data were collected from 726 children (359 boys, 367 girls) with an average age of 12.23 years (SD=.30). The analysis was conducted using SPSS 27.0 and Process MACRO Ver. 4.2. The results were as follows. Maternal smartphone addiction increased mothers' work-family strains, which in turn lowered the level of parental monitoring, which was associated with an increase in children's media dependency. Furthermore, mothers' smartphone addiction had a partial mediation effect on children's media dependency. In sum, this study revealed that the mothers' smartphone addiction increased children's media dependency, and this effect was sequentially mediated by an increase in mothers' work-family strains and a decrease in parental monitoring. This study verifies that mothers' smart device usage as well as their working environment has a significant effect on children's media dependency. Therefore, to increase parental monitoring of children's media usage, mothers' work-family strains need to be reduced.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.455-458
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• 2013

The conventional design of the information system architecture based on the personal experience of information systems has been acted as a limit in progress utilizing appropriate resource allocation and performance improvements. Architecture design depending on personal experience makes differences in variance of a designer's experience, intellectual level in related tasks and surroundings, and architecture quality according to individual's propensity. After all these problems cause a waste of expensive hardware resources. At working place, post-monitoring tools are diversely developed and are running to find the bottleneck and the process problems in the information operation. However, there are no simulation tools or models that are used for expecting and counteracting the problems at early period of designing architecture. To solve these problems we will first develop a simulation model for designing information system architecture in a pilot form, and will verify validity. If an error rate is found in the permissible range, then it can be said that the simulation reflects the characteristic of information system architecture. After the model is developed in a level that can be used in various ways, more accurate performance computation will be able to do, getting out of the old way relying on calculations, and prevent the existence of idle resources and expense waste that comes from the wrong design of architecture.