Min Hao, Guangyuan Liu, Desheng Xie, Ming Ye and Jing Cai
Happiness is an important mental emotion and yet becoming a major health concern nowadays. For this reason, better recognizing the objective understanding of how humans respond to…
Abstract
Purpose
Happiness is an important mental emotion and yet becoming a major health concern nowadays. For this reason, better recognizing the objective understanding of how humans respond to event-related observations in their daily lives is especially important.
Design/methodology/approach
This paper uses non-intrusive technology (hyperspectral imaging [HSI]) for happiness recognition. Experimental setup is conducted for data collection in real-life environments where observers are showing spontaneous expressions of emotions (calm, happy, unhappy: angry) during the experimental process. Based on facial imaging captured from HSI, this work collects our emotional database defined as SWU Happiness DB and studies whether the physiological signal (i.e. tissue oxygen saturation [StO2], obtained by an optical absorption model) can be used to recognize observer happiness automatically. It proposes a novel method to capture local dynamic patterns (LDP) in facial regions, introducing local variations in facial StO2 to fully use physiological characteristics with regard to hyperspectral patterns. Further, it applies a linear discriminant analysis-based support vector machine to recognize happiness patterns.
Findings
The results show that the best classification accuracy is 97.89 per cent, objectively demonstrating a feasible application of LDP features on happiness recognition.
Originality/value
This paper proposes a novel feature (i.e. LDP) to represent the local variations in facial StO2 for modeling the active happiness. It provides a possible extension to the promising practical application.
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Kaiyu Dai, Fangwei Xie, Qingsong Gao, Desheng Zhang, Erming Ding and Xinjian Guo
The purpose of this paper is to study the pressure response characteristics of the cartridge electromagnetic relief valve, which offers the problems caused by low pressure…
Abstract
Purpose
The purpose of this paper is to study the pressure response characteristics of the cartridge electromagnetic relief valve, which offers the problems caused by low pressure response and low efficiency in hydraulic plate shearing machines.
Design/methodology/approach
First of all the mathematical model of the cartridge electromagnetic relief valve is deduced to analyze the influence of the relevant parameters on the system pressure response. Then experiments are conducted to research the dynamic characteristics on building and relieving pressure. Through comparison of theoretical and experimental research, the results are found.
Findings
The results show that the input flow, working pressure, diameter of adjacent damping hole, and spring stiffness of the main valve have great influence on building pressure of the system, and have no influence on relieving pressure, while diameter of damping hole of control cover plate has influence on the building and relieving pressure of the system.
Originality/value
The research results provide powerful theoretical support for the parametric design of the cartridge electromagnetic relief valve in the hydraulic system of plate shearing machine.
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Keywords
A key process involved in supply chains is a priori evaluation of potential partners, not only in terms of expected cost (which includes exchange rate risk), but also in terms of…
Abstract
Purpose
A key process involved in supply chains is a priori evaluation of potential partners, not only in terms of expected cost (which includes exchange rate risk), but also in terms of other risks. These risks can include product failure, producing company failure (such as bankruptcy), and even political risk. This paper aims to compare tools to aid supply chain organizations in measuring, evaluating, and assessing risk in this environment.
Design/methodology/approach
The authors demonstrate the use of DEA, followed by a DEA simulation model and also a Monte Carlo simulation using a risk‐adjusted cost concept. Once non‐dominated partners are identified by DEA, simulation analysis is applied to compare expected performance of vendors, and the range of expected outcomes can be identified, aiding supply chain core organizations to better select producing partners.
Findings
The authors consider strategies of outsourcing to China, as well as other nations under various forms of risk. A scenario analysis using risk management models indicates outsourcing to Great China is a good strategy.
Originality/value
The authors conducted a thorough review of supply chain risk management and identified criteria and various risk performance measures for outsourcing under risk and uncertainty in a supply chain. The benefit of outsourcing to China is discussed. The authors have designed an international outsourcing problem, where foreign exchange risk, product failure, organizational failure, and political risks are considered.
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Abstract
Purpose
The purpose of this paper is to present an integrated leapfrogging mode of technological innovation for developing countries or latecomer enterprises in a certain industrial innovation field. Furthermore, this paper discusses the basic paradigm of the integrated leapfrogging innovation, analyzes the risk in the integrated leapfrogging mode, and describes the risk map of the integrated leapfrogging mode. Finally, taking the example of the integrated leapfrogging mode of technological innovation in developing China High‐speed Railway, this paper carries out the simulation analysis by employing system dynamics model.
Design/methodology/approach
In order to examine the impact of the integrated leapfrogging innovation risk on innovative achievements, main risk variables need to be extracted from the process of the integrated leapfrogging innovation, based on the system simulation, relationships among different variables and the impact on innovative achievements can be obtained.
Findings
To prevent the risk of the integrated leapfrogging innovation across the innovation, the first thing we need to improve is the contractual relationship, which is to be fair and reasonable, according to the symmetry principles of risks and benefits, and to achieve risk‐sharing and revenue sharing, in addition, all parties must be clear about their responsibilities and interests. The second is the reasonable position of the government's behavior, and it hints that the government cannot interfere too much, and its function is to provide service and support instead of ordering. The third is that enterprises should effectively prevent the risk of the integrated leapfrogging innovation through risk identification and risk early warning and risk pre‐control approach.
Originality/value
A new concept of integrated leapfrogging mode of technological innovation has been put forward, and the risk map of the integrated leapfrogging mode has been described. In addition, this paper proposes some suggestions to prevent the risks of the integrated leapfrogging innovation for enterprises as a reference.
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Yongxiu He, Weijun Tao, Aiying Dai, Lifang Yang, Rui Fang and Furong Li
The purpose of this paper is to use artificial intelligence to evaluate the risks of urban power network planning.
Abstract
Purpose
The purpose of this paper is to use artificial intelligence to evaluate the risks of urban power network planning.
Design/methodology/approach
A fuzzy Bayesian least squares support vector machine (LS_SVM) model is established in this paper, which can learn the risk information of urban power network planning through artificial intelligence and acquire expert knowledge for its risk evaluation. With the advantage of possessing learning analog simulation precision and speed, the proposed model can be effectively applied in conducting a risk evaluation of an urban network planning system. First, fuzzy theory is applied to quantify qualitative risk factors of the planning to determine the fuzzy comprehensive evaluation value of the risk factors. Then, Bayesian evidence framework is utilized in LS_SVM model parameter optimization to automatically adjust the LS_SVM regularization parameters and nuclear parameters to obtain the best parameter values. Based on this, a risk comprehensive evaluation of urban network planning based on artificial intelligence is established.
Findings
The fuzzy Bayesian LS_SVM model established in this paper is an effective artificial intelligence method for risk comprehensive evaluation in urban network planning through empirical study.
Originality/value
The paper breaks new ground in using artificial intelligence to evaluate urban power network planning risks.
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Desheng Wu, Jingxiu Song, Yuan Bian, Xiaolong Zheng and Zhu Zhang
The increase of turbulence sources and risk points under the complex social information network has brought severe challenges. This paper discusses risk perception and intelligent…
Abstract
Purpose
The increase of turbulence sources and risk points under the complex social information network has brought severe challenges. This paper discusses risk perception and intelligent decision-making under the complex social information network to maintain social security and financial security.
Design/methodology/approach
Cross-modal semantic fusion and social risk perception, temporal knowledge graph and analysis, complex social network intelligent decision-making methods have been studied. A big data computing platform of software and hardware integration for security combat is constructed based on the technical support.
Findings
The software and hardware integration platform driven by big data can realize joint identification of significant risks, intelligent analysis and large-scale group decision-making.
Practical implications
The integrated platform can monitor the abnormal operation and potential associated risks of Listed Companies in real-time, reduce information asymmetry and accounting costs and improve the capital market's ability to serve the real economy. It can also provide critical technical support and decision support in necessary public opinion monitoring and control business.
Originality/value
In this paper, the theory of knowledge-enhanced multi-modal multi-granularity dynamic risk analysis and intelligent group decision-making and the idea of an inference think tank (I-aid-S) is proposed. New technologies and methods, such as association analysis, time series evolution and super large-scale group decision-making, have been established. It's also applied in behavior and situation deduction, public opinion and finance and provides real-time, dynamic, fast and high-quality think tank services.
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Amirhossein Karamoozian and Desheng Wu
Construction projects involve with various risks during all phases of project lifecycle. Failure mode and effective analysis (FMEA) is a useful tool for identifying and…
Abstract
Purpose
Construction projects involve with various risks during all phases of project lifecycle. Failure mode and effective analysis (FMEA) is a useful tool for identifying and eliminating possible risk of failure modes (FMs) and improving the reliability and safety of systems in a broad range of industries. The traditional FMEA method applies risk priority number method (RPN) to calculate risk of FMs. RPN method cannot consider the direct and indirect interdependencies between the FMs and is not appropriate for complex system with numerous components. The purpose of this study is to propose an approach to consider interdependencies between FMs and also using fuzzy theory to consider uncertainties in experts' judgments.
Design/methodology/approach
The proposed approach consist of three stages: the first stage of hybrid model used fuzzy FMEA method to identify the failure mode risks and derive the RPN values. The second stage applied Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) method to determine the interdependencies between the FMs which are defined through fuzzy FMEA. Then, analytic network process (ANP) is applied in the third stage to calculate the weights of FMs based on the interdependencies that are generated through FDEMATEL method. Finally, weight of FMs through fuzzy FMEA and FDEMATEL–ANP are multiplied to generate the final weights for prioritization. Afterward, a case study for a commercial building project is introduced to illustrate proficiency of model.
Findings
The results showed that the suggested approach could reveal the important FMs and specify the interdependencies between them successfully. Overall, the suggested model can be considered as an efficient hybrid FMEA approach for risk prioritization.
Originality/value
The originality of approach comes from its ability to consider interdependencies between FMs and uncertainties of experts' judgments.
Details
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Yuan Cao, Desheng Wu and Lei Li
Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key…
Abstract
Purpose
Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.
Design/methodology/approach
Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.
Findings
Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.
Originality/value
The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.
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Yan Li, Desheng Zhang and Fuhai Duan
The purpose of this paper is to investigate dynamic characteristics of opposed-conical gas-dynamic bearings considering five degree-of-freedom motion, including translation and…
Abstract
Purpose
The purpose of this paper is to investigate dynamic characteristics of opposed-conical gas-dynamic bearings considering five degree-of-freedom motion, including translation and tilt.
Design/methodology/approach
The steady-state Reynolds equation and perturbed Reynolds equations are solved on the surface of conical bearings, and both stiffness and damping coefficients are calculated. A formula for quickly calculating critical mass is deduced to discriminate the stability of the rotor considering the five degree-of-freedom motion.
Findings
Results show that the stability of the rotor is mainly determined by translation rather than tilt. The formula of critical mass is validated by comparing the results with traditional Routh–Hurwitz criterion.
Originality/value
The formula proposed in this paper greatly simplifies the solution of critical mass, which facilitates the rotor stability design. It is applicable for opposed-conical bearings, opposed-hemispherical bearings and spherical bearings. The results provide theoretical guidance for the design of gas-dynamic bearings.
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Xueyan Shao, Mingliang Qi and Mingang Gao
The purpose of this paper is to focus on flight exceedances in pilots' operations. With some bad conditions, such as a bad weather, flight exceedances might lead to serious…
Abstract
Purpose
The purpose of this paper is to focus on flight exceedances in pilots' operations. With some bad conditions, such as a bad weather, flight exceedances might lead to serious consequences. They are significant hidden dangers of aviation. Risk analysis is carried out to identify pilots' high‐risk or low‐risk operations.
Design/methodology/approach
A multi‐objective optimization model is proposed for risk analysis of flight operations. An evolutionary algorithm is designed to divide flight operation state‐space into some high‐risk and low‐risk sub‐spaces.
Findings
Through the empirical study of a certain flight exceedance with the analysis model, the authors discover some high‐risk flight operations, which indicate coordination problems in coordinate control of airplane's speed, rate of descent, heading, roll and pitch, etc.
Originality/value
This paper employs a quantitative model to carry out risk analysis of flight operations. The results are useful to pilots' training and may improve flight safety fundamentally. The risk analysis of flight exceedance is one specific case in airlines safety risk management. Some other problems, such as cause analysis of flight delay, aircraft faults diagnosis, can be addressed in the same way and dealt with by specific model adjustments and algorithm designs.