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Article
Publication date: 20 June 2016

Cheng Lei, Haiyang Mao, Yudong Yang, Wen Ou, Chenyang Xue, Zong Yao, Anjie Ming, Weibing Wang, Ling Wang, Jiandong Hu and Jijun Xiong

Thermopile infrared (IR) detectors are one of the most important IR devices. Considering that the surface area of conventional four-end-beam (FEB)-based thermopile devices cannot…

170

Abstract

Purpose

Thermopile infrared (IR) detectors are one of the most important IR devices. Considering that the surface area of conventional four-end-beam (FEB)-based thermopile devices cannot be effectively used and the performance of this type of devices is relatively low, this paper aims to present a double-end-beam (DEB)-based thermopile device with high duty cycle and performance. The paper aims to discuss these issues.

Design/methodology/approach

Numerical analysis was conducted to show the advantages of the DEB-based thermopile devices.

Findings

Structural size of the DEB-based thermopiles may be further scaled down and maintain relatively higher responsivity and detectivity when compared with the FEB-based thermopiles. The authors characterized the thermoelectric properties of the device proposed in this paper, which achieves a responsivity of 1,151.14 V/W, a detectivity of 4.15 × 108 cm Hz1/2/W and a response time of 14.46 ms sensor based on DEB structure.

Orginality/value

The paper proposed a micro electro mechanical systems (MEMS) thermopile infrared sensor based on double-end-beam structure.

Details

Sensor Review, vol. 36 no. 3
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 16 October 2009

Junwu Zhu, Jiandong Wang and Bin Li

The purpose of this paper is to integrate distributed ontologies on the web system and clarify the structure of the integrated one.

296

Abstract

Purpose

The purpose of this paper is to integrate distributed ontologies on the web system and clarify the structure of the integrated one.

Design/methodology/approach

A formal method based on concept lattices is introduced as a mechanism to form more general semantic level. By checking the extension and the intension of concept, this method extracts the concept pairs satisfying inclusion relations from descartes' set of concepts in distributed ontologies first, and then constructs a concept lattice according to these concept pairs. An algorithm to reduce redundant relations is also proposed to clarify the structure of integrated ontology.

Findings

The experiments demonstrate the effectiveness of the proposed method to reduce redundant relations, and the Nir‐to‐Ncr ratio inclines to 1.05 from 3.13.

Research limitations/implications

Instances of certain concept are not given completely on the web, so it is difficult to check extension of different concepts.

Practical implications

A very useful method of integrating distributed ontologies on the web.

Originality/value

Compared with existing methods, this formal method can be performed by program automatically without any human intervening, and can extract the inclusion relations between concepts from distributed ontologies completely.

Details

Kybernetes, vol. 38 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

Available. Open Access. Open Access
Article
Publication date: 20 January 2025

Meina Liu

The purpose of the study was to assess whether and how communication medium (i.e. face-to-face vs text-based instant messaging) moderates the processes through which two…

49

Abstract

Purpose

The purpose of the study was to assess whether and how communication medium (i.e. face-to-face vs text-based instant messaging) moderates the processes through which two contrastive, discrete emotions (i.e. anger and compassion) influence dispute resolution tactics and relational outcomes.

Design/methodology/approach

A total of 254 participants formed same-sex negotiation dyads to resolve a dispute between roommates either face-to-face (FtF) or through computer-mediated communication (CMC) in two experimental conditions (high vs low responsibility) designed to induce anger and compassion. Multi-group structural equation modeling procedures were used to assess four actor–partner mediation models that predict both intrapersonal and interpersonal effects of anger and compassion on relational outcomes through dispute resolution versus facework tactics.

Findings

Results showed that anger had a significant indirect effect on relational outcomes through competitive (i.e. power-based and face-threatening) tactics in FtF negotiations but not CMC, whereas compassion had a significant indirect effect on relational outcomes through both competitive and cooperative (i.e. power-based, interest-based, face-threatening and face-enhancing) tactics in CMC but not FtF negotiations.

Originality/value

The study extends existing scholarship on emotion in negotiations by demonstrating the moderating effects of communication medium and sheds insights on why communication technology should be considered for resolving emotion-laden disputes.

Details

International Journal of Conflict Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1044-4068

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Article
Publication date: 10 March 2023

Jiandong Lu, Xiaolei Wang, Liguo Fei, Guo Chen and Yuqiang Feng

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational…

663

Abstract

Purpose

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment.

Design/methodology/approach

In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis.

Findings

The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior.

Originality/value

This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic.

Details

Information Technology & People, vol. 37 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 26 August 2021

Jiandong Zhou, Xiang Li, Xiande Zhao and Liang Wang

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational…

285

Abstract

Purpose

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.

Design/methodology/approach

The authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled indicators for both driving behaviour (times of aggressive speed change and times of lane change) and road smoothness (average speed and average vibration times of the vehicle body).

Findings

The developed driving grading system demonstrates highly accurate evaluations in practical use. Data analytics on the constructed indicators prove the significances of both driving behaviour heterogeneity and the road smoothness effect on objective driving grading. The methodologies are validated with real-life tests on different types of vehicles, and are confirmed to be quite effective in practical tests with 95% accuracy according to prior benchmarks. Data analytics based on the grading system validate the hypotheses of the driving fatigue effect, daily traffic periods impact and transition effect. In addition, the authors empirically distinguish the impact strength of external factors (driving time, rainfall and humidity, wind speed, and air quality) on driving performance.

Practical implications

This study has good potential for providing objective driving grading as required by the modern logistics industry to improve transparent management efficiency with real-time vehicle data.

Originality/value

This study contributes to the existing research by comprehensively measuring both road smoothness and driving performance in the driving grading system in the modern logistics industry.

Details

Industrial Management & Data Systems, vol. 121 no. 12
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 7 January 2019

Jiandong Wei, Manyu Guan, Qi Cao and Ruibin Wang

The purpose of this paper is to analyze the cable-supported bridges more efficiently by building the finite element model with the spatial combined cable element.

134

Abstract

Purpose

The purpose of this paper is to analyze the cable-supported bridges more efficiently by building the finite element model with the spatial combined cable element.

Design/methodology/approach

The spatial combined cable element with rigid arms and elastic segments was derived. By using the analytical solution of the elastic catenary to establish the flexibility matrix at the end of the cable segment and adding it to the flexibility matrix at the ends of the two elastic segments, the flexibility matrix at the end of the cable body is obtained. Then the stiffness matrix of the cable body is established and the end force vector of cable body is given. Using the displacement transformation relationship between the two ends of the rigid arm, the stiffness matrix of the combined cable element is derived. By assigning zero to the length of the elastic segment(s) or/and the rigid arm(s), many subdivisions of the combined cable element can be obtained, even the elastic catenary element.

Findings

The examples in this field and specially designed examples proved the correctness of the proposed spatial combined cable element.

Originality/value

The combined cable element proposed in this study can be used for the design and analysis of cable-stayed bridges. Case studies show that it is able to simulate cable accurately and could also be used to simulate the suspenders in arch bridges as well in suspension bridges.

Details

Engineering Computations, vol. 36 no. 1
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 18 September 2017

Tiebing Shi, Jiandong Li and Chi Lo Lim

This study aims to investigate factors impacting host country consumers’ attitudes toward acquirers’ corporate brands and target brands after cross-border acquisitions (CBAs).

697

Abstract

Purpose

This study aims to investigate factors impacting host country consumers’ attitudes toward acquirers’ corporate brands and target brands after cross-border acquisitions (CBAs).

Design/methodology/approach

Surveys were conducted with US consumers using two fictitious CBA scenarios in the automobile industry.

Findings

Consumer ethnocentric tendencies (CETs) are negatively related to attitudes toward a CBA event; attitudes toward a CBA event are positively related to post-CBA attitudes toward the acquirer's corporate brand; brand-image fit is positively related to attitudes toward a CBA event, and post-CBA attitudes toward the acquirer's corporate brand and the target brand; post-CBA attitudes toward the acquirer's corporate brand and the target brand are positively related.

Research limitations/implications

This study is limited in the sample, analysis approaches, context and factors examined. Future research could use more representative samples and both quantitative and qualitative methodologies; conduct more tests; examine real CBAs in different industries and countries; and investigate effects of other factors affecting attitudes toward the CBA event and post-CBA brand attitudes.

Practical implications

Managers should consider CETs and brand-image fit and strategically influence attitudes toward a CBA event and post-CBA brand attitudes.

Originality/value

It investigates the mediating effect of attitudes toward a CBA event on the relationship between CETs and post-CBA attitudes toward the acquirer's corporate brand and the effects of brand-image fit on attitudes toward a CBA event and post-CBA brand attitudes.

Details

Journal of Product & Brand Management, vol. 26 no. 6
Type: Research Article
ISSN: 1061-0421

Keywords

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Article
Publication date: 25 October 2021

Danni Chen, JianDong Zhao, Peng Huang, Xiongna Deng and Tingting Lu

Sparrow search algorithm (SSA) is a novel global optimization method, but it is easy to fall into local optimization, which leads to its poor search accuracy and stability. The…

290

Abstract

Purpose

Sparrow search algorithm (SSA) is a novel global optimization method, but it is easy to fall into local optimization, which leads to its poor search accuracy and stability. The purpose of this study is to propose an improved SSA algorithm, called levy flight and opposition-based learning (LOSSA), based on LOSSA strategy. The LOSSA shows better search accuracy, faster convergence speed and stronger stability.

Design/methodology/approach

To further enhance the optimization performance of the algorithm, The Levy flight operation is introduced into the producers search process of the original SSA to enhance the ability of the algorithm to jump out of the local optimum. The opposition-based learning strategy generates better solutions for SSA, which is beneficial to accelerate the convergence speed of the algorithm. On the one hand, the performance of the LOSSA is evaluated by a set of numerical experiments based on classical benchmark functions. On the other hand, the hyper-parameter optimization problem of the Support Vector Machine (SVM) is also used to test the ability of LOSSA to solve practical problems.

Findings

First of all, the effectiveness of the two improved methods is verified by Wilcoxon signed rank test. Second, the statistical results of the numerical experiment show the significant improvement of the LOSSA compared with the original algorithm and other natural heuristic algorithms. Finally, the feasibility and effectiveness of the LOSSA in solving the hyper-parameter optimization problem of machine learning algorithms are demonstrated.

Originality/value

An improved SSA based on LOSSA is proposed in this paper. The experimental results show that the overall performance of the LOSSA is satisfactory. Compared with the SSA and other natural heuristic algorithms, the LOSSA shows better search accuracy, faster convergence speed and stronger stability. Moreover, the LOSSA also showed great optimization performance in the hyper-parameter optimization of the SVM model.

Details

Assembly Automation, vol. 41 no. 6
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 28 August 2024

Jiandong Yang, Zhiqiang Li, Hongbo Hao and Jinxu Li

This paper aims to investigate the corrosion kinetics and corrosion behavior of NdFeB magnets with the addition of heavy rare earth dysprosium (Dy) for its inhibitory activity on…

54

Abstract

Purpose

This paper aims to investigate the corrosion kinetics and corrosion behavior of NdFeB magnets with the addition of heavy rare earth dysprosium (Dy) for its inhibitory activity on poor corrosion resistance of NdFeB magnets.

Design/methodology/approach

To study the effect of dysprosium addition on corrosion behavior of NdFeB magnets and investigate its mechanism, potentiodynamic polarization, scanning electron microscopy (SEM), electrochemical impedance, energy dispersion spectrum (EDS) and scanning Kelvin probe force microscopy (SKPFM) were applied in the research. Besides, microstructures were observed by SEM equipped with EDS. Atomic force microscopy was introduced to analyze the morphology, potential image as well as the contact potential difference. The SKPFM mapping scan was applied to obtain the contact potential around Nd-rich phase at 0.1 Hz. The magnets were detected via X-ray diffraction.

Findings

Substitution of Nd with Dy led to improvement of corrosion resistance and reduced the potential difference between matrix and Nd-rich phase. Corrosion resistance is Nd-rich phase < the void < metal matrix; maximum potential difference between matrix and Nd-rich phase of Dy = 0, Dy = 3 and Dy = 6 Wt.% is 411.3, 279.4 and 255.8 mV, respectively. The corrosion rate of NdFeB magnet with 6 Wt.% Dy is about 67% of that without Dy at steady corrosion stage. The addition of Dy markedly enhanced the corrosion resistance of NdFeB magnets.

Originality/value

This research innovatively investigates the effect of adding heavy rare earth Dy to NdFeB permanent magnets on magnetic properties, as well as their effects on microstructure, phase structure and most importantly on corrosion resistance. Most scholars are studying the effect of element addition on magnetic properties but not on corrosion resistance. This paper creatively fills this research gap. NdFeB magnets are applied in smart cars, robotics, AI intelligence, etc. The in-depth research on corrosion resistance by adding heavy rare earths has made significant and outstanding contributions to promoting the rapid development of the rare earth industry.

Details

Anti-Corrosion Methods and Materials, vol. 71 no. 6
Type: Research Article
ISSN: 0003-5599

Keywords

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Article
Publication date: 13 November 2017

Baochao Zheng, Zhifu Huang, Jiandong Xing, Yiyang Xiao and Fan Xiao

This paper aims to demonstrate the effect of varying chromium content on the wear behavior of white cast iron, to study the interaction relationship between cementite and pearlite…

258

Abstract

Purpose

This paper aims to demonstrate the effect of varying chromium content on the wear behavior of white cast iron, to study the interaction relationship between cementite and pearlite in white cast iron, while estimating their contribution rate in abrasive wear.

Design/methodology/approach

To study interaction of cementite-pearlite of white cast irons with different chromium content in three-body abrasive wear, three kinds of chromium white cast iron, bulk single-phase cementite, pure pearlite samples and the white cast iron (WCI), were prepared using the melting and casting technique. The so-called pure pearlite samples have the same chemical composition, microstructure and properties as the pearlite matrix in white cast iron.

Findings

Results indicated that the interaction has a negative value. Its absolute value decreased with increasing chromium addition. Meanwhile, a high load resulted in an increased interaction value. The contribution rate of cementite to interaction, which was higher than that of pearlite, increased with increasing chromium addition. This indicated cementite was a main phase. Besides, the reductive size of abrasive has a significant effect on the contribution rate at the high load. These prominent cementite occurred fracture, when small size abrasive indented the matrix. These result in the absence of a protective effect of cementite during wear process. Eventually, the contribution rate of cementite decreased significantly.

Originality/value

This paper demonstrates the effect of varying chromium content on wear behavior of white cast iron, to study the interaction relationship between cementite and pearlite in white cast iron while estimating their contribution rate in abrasive wear.

Details

Industrial Lubrication and Tribology, vol. 69 no. 6
Type: Research Article
ISSN: 0036-8792

Keywords

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