Xi Chen, Zhengwei Du and Ke Gong
The purpose of this paper is to study the impact of high‐power microwave interferences on electronic devices needs the simulation of semiconductor components. Although the…
Abstract
Purpose
The purpose of this paper is to study the impact of high‐power microwave interferences on electronic devices needs the simulation of semiconductor components. Although the semiconductor equations can be solved numerically by Newton method, the conventional Newton method exhibits significant speed degradation when the power of interference is high enough to cause device burnout. Therefore, this paper aims at speeding up the simulation of the semiconductor components under high‐power microwave interferences.
Design/methodology/approach
Some approximations in conventional Newton method works efficiently only when the electric field in the simulated semiconductor is relatively low. This is the reason of the formerly mentioned speed degradation problem. The proposed method speeds up the simulation by modifying these approximations to acquire enough precision in these high‐power situations.
Findings
The modified Newton method proposed in this paper shows an acceleration of 100‐150 percent compared to conventional method for typical applications. Moreover, the simulation speed becomes nearly independent of the power of the microwave interferences, which means the speed degradation phenomenon of the conventional method has almost been eliminated.
Originality/value
This paper proposes a modified Newton method to speed up the simulation of the semiconductor components under high‐power microwave interferences.
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Keywords
Meijiao Zhao, Yidi Wang and Wei Zheng
Loitering aerial vehicle (LAV) swarm safety flight control is an unmanned system control problem under multiple constraints, which are derived to prevent the LAVs from suffering…
Abstract
Purpose
Loitering aerial vehicle (LAV) swarm safety flight control is an unmanned system control problem under multiple constraints, which are derived to prevent the LAVs from suffering risks inside and outside the swarms. The computational complexity of the safety flight control problem grows as the number of LAVs and of the constraints increases. Besides some important constraints, the swarms will encounter with sudden appearing risks in a hostile environment. The purpose of this study is to design a safety flight control algorithm for LAV swarm, which can timely respond to sudden appearing risks and reduce the computational burden.
Design/methodology/approach
To address the problem, this paper proposes a distributed safety flight control algorithm that includes a trajectory planning stage using kinodynamic rapidly exploring random trees (KRRT*) and a tracking stage based on distributed model predictive control (DMPC).
Findings
The proposed algorithm reduces the computational burden of the safety flight control problem and can fast find optimal flight trajectories for the LAVs in a swarm even there are multi-constraints and sudden appearing risks.
Originality/value
The proposed algorithm did not handle the constraints synchronously, but first uses the KRRT* to handle some constraints, and then uses the DMPC to deal with the rest constraints. In addition, the proposed algorithm can effectively respond to sudden appearing risks by online re-plan the trajectories of LAVs within the swarm.
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Haojia Su, Zhengchun Cai, Zhengwei lv, Yongkang Chen and Yongxin Ji
In this work, the authors used reversible addition-fragmentation transfer (RAFT) polymerization to develop a new cationic acrylate modified epoxy resin emulsion for water-borne…
Abstract
Purpose
In this work, the authors used reversible addition-fragmentation transfer (RAFT) polymerization to develop a new cationic acrylate modified epoxy resin emulsion for water-borne inkjet which have the advantages of both polyacrylate and epoxy resin. The emulsion was successfully used in the canvas coating for inkjet printing. This paper aims to contribute to the development of novel cationic emulsions for inkjet printing industry.
Design/methodology/approach
In this work, the epoxy acrylate was synthesized from RAFT agent and epoxy resin firstly. Cationic macromolecular emulsifier was prepared by RAFT polymerization, using 2,2’-Azobisisobutyronitrile as initiator, 2-(dimethylamino)ethyl methacrylate and styrene as monomer, which was directly used to prepare the emulsion. The influences of the amount of 2-(dimethylamino)ethyl methacrylate on particle size, zeta potential and water contact angle were studied. Finally, the cationic emulsion was used to print images by inkjet printing.
Findings
The emulsion has the smallest particle size, the highest potential and the highest water contact angle when the DM content is 13 Wt.%. The transmission electron microscopy analysis reveals the latex particles is core-shell sphere with the diameters in the range 120–200 nm. The emulsion was successfully used in the canvas coating for inkjet printing. This work will contribute to the development of novel cationic emulsions for inkjet printing industry.
Originality/value
The emulsion was successfully used in the canvas coating for inkjet printing. This work will contribute to the development of novel cationic emulsions for inkjet printing industry.
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Zhengwei Li, Chenye Qiu, Kai Zeng and Feirong Wang
Empowering leadership is often considered unequivocally positive for employees, but recent studies have shown that this ostensibly straightforward effect is more complex. The dual…
Abstract
Purpose
Empowering leadership is often considered unequivocally positive for employees, but recent studies have shown that this ostensibly straightforward effect is more complex. The dual facets of the effect of empowering leadership – especially on employees’ innovative behaviour – have received insufficient attention. Based on job demand-resource (JD-R) theory, this study aims to propose a theoretical framework for the relationship between empowering leadership and employees’ innovative behaviours with a dual process model of gain and loss.
Design/methodology/approach
This study is survey based, with 261 paired leader–employee data points collected in the People’s Republic of China.
Findings
The results show that empowering leadership has a “double-edged” effect on employees’ innovative behaviours: it affects innovative behaviours positively through employee job engagement and negatively through emotional exhaustion. Moreover, trust in leaders moderates the mediating roles of job engagement and emotional exhaustion.
Originality/value
This study contends that empowering leadership has a dual impact on employees and proposes a promising model of this double-edged effect to contrast with other complex models in the empowering leadership literature. Furthermore, this study uses JD-R theory to deeply explore the dual process whereby empowering leadership influences employees’ innovative behaviour and provides practical guidance for business management.
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Guanghui Ye, Songye Li, Lanqi Wu, Jinyu Wei, Chuan Wu, Yujie Wang, Jiarong Li, Bo Liang and Shuyan Liu
Community question answering (CQA) platforms play a significant role in knowledge dissemination and information retrieval. Expert recommendation can assist users by helping them…
Abstract
Purpose
Community question answering (CQA) platforms play a significant role in knowledge dissemination and information retrieval. Expert recommendation can assist users by helping them find valuable answers efficiently. Existing works mainly use content and user behavioural features for expert recommendation, and fail to effectively leverage the correlation across multi-dimensional features.
Design/methodology/approach
To address the above issue, this work proposes a multi-dimensional feature fusion-based method for expert recommendation, aiming to integrate features of question–answerer pairs from three dimensions, including network features, content features and user behaviour features. Specifically, network features are extracted by first learning user and tag representations using network representation learning methods and then calculating questioner–answerer similarities and answerer–tag similarities. Secondly, content features are extracted from textual contents of questions and answerer generated contents using text representation models. Thirdly, user behaviour features are extracted from user actions observed in CQA platforms, such as following and likes. Finally, given a question–answerer pair, the three dimensional features are fused and used to predict the probability of the candidate expert answering the given question.
Findings
The proposed method is evaluated on a data set collected from a publicly available CQA platform. Results show that the proposed method is effective compared with baseline methods. Ablation study shows that network features is the most important dimensional features among all three dimensional features.
Practical implications
This work identifies three dimensional features for expert recommendation in CQA platforms and conducts a comprehensive investigation into the importance of features for the performance of expert recommendation. The results suggest that network features are the most important features among three-dimensional features, which indicates that the performance of expert recommendation in CQA platforms is likely to get improved by further mining network features using advanced techniques, such as graph neural networks. One broader implication is that it is always important to include multi-dimensional features for expert recommendation and conduct systematic investigation to identify the most important features for finding directions for improvement.
Originality/value
This work proposes three-dimensional features given that existing works mostly focus on one or two-dimensional features and demonstrate the effectiveness of the newly proposed features.
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Keywords
Marcus Fischer, Florian Imgrund, Christian Janiesch and Axel Winkelmann
Digital transformation has been changing the economic environment of enterprises in recent years. To remain competitive, they rely on an extensible software architecture, flexible…
Abstract
Purpose
Digital transformation has been changing the economic environment of enterprises in recent years. To remain competitive, they rely on an extensible software architecture, flexible workflow execution, and automated decision management. The concepts of service-oriented architectures (SOA), business process management (BPM), and business rules management (BRM) provide an adequate, yet isolated means of addressing many of these requirements. The paper aims to discuss these issues.
Design/methodology/approach
This study adapts from established research frameworks to structure the current state of research on the integration of SOA, BPM and BRM. The authors highlight the current research scope, point to disregarded topics and sketch out multidisciplinary research approaches.
Findings
While the three concepts are often discussed only in isolation or pairwise, approaches that integrate them are scarce. Against this backdrop, this study defines three types of research opportunities and identifies several directions for future research that should be explored from a technological as well as organizational perspective. Given the breadth of open questions, the authors present sources for each area of our research framework, which can serve as starting points for future investigations.
Practical implications
Except for well-established support for separate tasks and technologies, there is a lack of integrated standards, methods and platforms, which for example enable integrated decision-making across BPM and SOA.
Originality/value
Our contribution builds on established frameworks and clearly shows that the discussion on the integration of SOA, BPM and BRM cannot yet be regarded as sufficient. The research agenda highlights which areas explicitly benefit from a more precise consideration.