• International conference on construction engineering and project management
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• 2022.06a
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.111-121
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• 2023

Given the gaps in the link between leadership, knowledge resource, and innovation capability, this study aims to examine the potential mediating role of knowledge sharing and moderating role of knowledge-centered culture in the relationship between transformational leadership and a firm's capability for innovation. This study applied the Structural Equation Modeling to try out proposal hypotheses in the research model through a questionnaire survey from a sample of 301 participators in 115 small and medium firms in the field of tourism and hotel. The findings disclosed that knowledge-sharing behaviors significantly mediate the transformational leadership-innovation relationship. It highlights the significant impact of explicit knowledge sharing in comparison with the influence of tacit knowledge sharing on innovation capability. The paper also reveals the crucial role of knowledge-centered culture in boosting the knowledge-sharing-innovation relationship. By exploring the mediating role of knowledge sharing and the moderator of knowledge-centered culture, the paper significantly brings insight into different mediating and moderating mechanisms to improve innovation capability. The paper significantly fills up the gaps and provides valuable initiatives on the mechanism of how transformational leadership and specific forms of knowledge-sharing behaviors positively affect innovation capability under the moderating role of knowledge-centered culture.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.245-256
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• 2022

During the COVID-19 pandemic, several studies focused on financial programs and SMEs' performance, but research on the relationship between non-financial programs, resilience, and SMEs' performance is still sparse. This study fills the gap by analyzing the role of local government in increasing SME resilience and performance by purchasing products (through civil servants) from SMEs and by facilitating online training to SMEs. This study also investigates the role of the local government in strengthening the relationship between resilience and SME performance. Data was collected using an online questionnaire distributed to SMEs in Malang Regency. As many as 410 questionnaires were received and eligible for statistical analysis using WarpPLS. The results show that resilience is positively and significantly related to the performance of SMEs. The local government programs have been proven to improve SME performance directly and indirectly through resilience. Local government programs are not proven to strengthen the relationship between resilience and the performance of SMEs, indicating that the role of government in developing countries such as Indonesia is more appropriate to be "rowing rather than steering" not "steering rather than rowing".

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.55-56
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• 2022

Hypertension is a severe health problem and increases the risk of other health issues, such as heart disease, heart attack, and stroke. In this research, we propose a machine learning-based prediction method for the risk of chronic hypertension. The proposed method consists of four main modules. In the first module, the linear interpolation method fills missing values of the integration of gas and meteorological datasets. In the second module, the OrdinalEncoder-based normalization is followed by the Decision tree algorithm to select important features. The prediction analysis module builds three models based on k-Nearest Neighbors, Decision Tree, and Random Forest to predict hypertension levels. Finally, the features used in the prediction model are explained by the DeepSHAP approach. The proposed method is evaluated by integrating the Korean meteorological agency dataset, natural gas leakage dataset, and Korean National Health and Nutrition Examination Survey dataset. The experimental results showed important global features for the hypertension of the entire population and local components for particular patients. Based on the local explanation results for a randomly selected 65-year-old male, the effect of hypertension increased from 0.694 to 1.249 when age increased by 0.37 and gas loss increased by 0.17. Therefore, it is concluded that gas loss is the cause of high blood pressure.

• Geomechanics and Engineering
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• v.35 no.2
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• pp.209-219
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• 2023

This paper presents numerical investigations into the particle crushing effect on the shear properties of gravel under direct shear condition. A novel particle crushing model was developed based on the octahedral shear stress criterion and fragment replacement method. A series of direct shear tests were carried out on unbreakable particles and breakable particles with different strengths. The evolutions of the particle crushing, shear strength, volumetric strain behavior, and contact force fabric during shearing were analyzed. It was observed that the number of crushed particles increased with the increase of the shear displacement and axial pressure and decreased with the particle strength increasing. Moreover, the shear strength and volume dilatancy were obviously decreased with particle crushing. The shear displacement of particles starting to crush was close to that corresponding to the peak shear stress got. Besides, the shear-hardening behavior was obviously affected by the number of crushed particles. A microanalysis showed that due to particle crushing, the contact forces and anisotropy decreased. The mechanism of the particle crushing effect on the shear strength was further clarified in terms of the particle friction and interlock.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.5
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• pp.943-958
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• 2023

This study explores the sneakerhead subculture through the lens of subcultural capital, primarily focusing on online community interactions. The analysis utilizes text mining techniques and netnographic research methods to examine textual data extracted from the online sneakerhead community and aims to elucidate manifestations of subcultural capital within the subculture. The findings underscore several key points: Firstly, shared experiences cultivated by the collective consciousness of subcultural capital foster solidarity among members. Secondly, ongoing validation of authenticity and comprehension of sneakers' cultural significance are member requirements. Subsequently, exhibiting greater levels of subcultural capital empowers members, resulting in hierarchical structures both within and beyond the community. Fourthly, resale-driven sneaker commercialization yields positive outcomes, including individual profit and cultural expansion, yet also brings negative consequences, such as market distortion and intra-community conflict. Lastly, the online community fills a pivotal role in dictating subcultural trends, effectively functioning as an institutional network. Given sneakers' enduring status as a fashion phenomenon, further examination of in this realm is warranted.

• Journal of Distribution Science
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• v.22 no.1
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.369-376
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• 2013

Finance Information System is critical national infrastructure. Therefore it is important to select variables of defect causal factor for the system defect management effectively. We research and analyze detected errors in A Company's Finance Information System for three years. In the result of research and analysis, we have selected 9 variables of defect factor: the trading volume, the fluctuation of KOSDAQ index, and the number of public announcements, etc. Then we have assumed that these variables affect real system errors and analyzed correlation between the hypothesis and the detected system errors. After analyzing, we have extracted the trading volume, the number of orders and fills, changing tasks, and the fluctuations of NASDAQ index as valid variables of defect factor. These variables are proposed for failure prediction model as the variables to manage defects in the finance information system afterward.

• Journal of Veterinary Clinics
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• v.31 no.3
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• pp.241-245
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• 2014

A miniature pinscher and two Maltese dogs were present with dyspnea, and radiography and computed tomography (CT) were performed. All dogs were diagnosed with giant bullous emphysema of the massive, hyperexpanded, and hypoattenuating bulla causing contralateral mediastinal shift. Giant bullous emphysema, the rarest form of bullous lung disease, is defined as a bulla that fills more than 30% of the hemithorax, and multi-detector CT scanning could provide the useful information to confirm a diagnosis of giant bullous emphysema in older dogs. The radiographic and computed tomographic features for giant bullous emphysema were described.

• Advances in concrete construction
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• v.9 no.1
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• pp.55-70
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• 2020

In this research article, acid resistance, sulphate resistance and sorptivity of self compacted concrete (SCC) prepared from C&D waste have been discussed. To improve the above properties of self compacted recycled aggregate concrete (SCRAC) along with mechanical and durability properties, different two stage mixing approaches (TSMA and TSMAsfc) were followed. In the proposed two stage mixing approach (TSMAsfc), silica fume, a proportional amount of cement and a proportional amount of water were mixed in premix stage which fills the pores and cracks of recycled aggregate concrete (RAC). The concrete specimen prepared using above mixing approaches were immersed in 1% concentration of sulphuric acid (H2SO4) and magnesium sulphate (MgSO4) solution for 28, 90 and 180 days for evaluating the acid resistance of SCRAC. Experimental results concluded that the proposed two stage mixing approach (TSMAsfc) is most suitable for acid resistance and sulphate resistance in terms of weight loss and strength loss due to the elimination of pores and cracks in the interfacial transition zone (ITZ). In modified two stage mixing approach, the pores and cracks of recycled concrete aggregate (RCA) were filled up and make ITZs of SCRAC stronger. Microstructure analysis was carried out to justify the reason of improvement of ITZs by electron probe micro analyser (EPMA) analysis. X-ray mapping was also done to know the presence of strength contributing elements presents in the concrete sample. It was established that SCRAC with modified mixing approach have shown improved results in terms of acid resistance, sulphate resistance, sorptivity and mechanical properties.