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1 – 10 of 22
Article
Publication date: 18 July 2018

Bing Hua, Zhiwen Zhang, Yunhua Wu and Zhiming Chen

The geomagnetic field vector is a function of the satellite’s position. The position and speed of the satellite can be determined by comparing the geomagnetic field vector…

Abstract

Purpose

The geomagnetic field vector is a function of the satellite’s position. The position and speed of the satellite can be determined by comparing the geomagnetic field vector measured by on board three-axis magnetometer with the standard value of the international geomagnetic field. The geomagnetic model has the disadvantages of uncertainty, low precision and long-term variability. Therefore, accuracy of autonomous navigation using the magnetometer is low. The purpose of this paper is to use the geomagnetic and sunlight information fusion algorithm to improve the orbit accuracy.

Design/methodology/approach

In this paper, an autonomous navigation method for low earth orbit satellite is studied by fusing geomagnetic and solar energy information. The algorithm selects the cosine value of the angle between the solar light vector and the geomagnetic vector, and the geomagnetic field intensity as observation. The Adaptive Unscented Kalman Filter (AUKF) filter is used to estimate the speed and position of the satellite, and the simulation research is carried out. This paper also made the same study using the UKF filter for comparison with the AUKF filter.

Findings

The algorithm of adding the sun direction vector information improves the positioning accuracy compared with the simple geomagnetic navigation, and the convergence and stability of the filter are better. The navigation error does not accumulate with time and has engineering application value. It also can be seen that AUKF filtering accuracy is better than UKF filtering accuracy.

Research limitations/implications

Geomagnetic navigation is greatly affected by the accuracy of magnetometer. This paper does not consider the spacecraft’s environmental interference with magnetic sensors.

Practical implications

Magnetometers and solar sensors are common sensors for micro-satellites. Near-Earth satellite orbit has abundant geomagnetic field resources. Therefore, the algorithm will have higher engineering significance in the practical application of low orbit micro-satellites orbit determination.

Originality/value

This paper introduces a satellite autonomous navigation algorithm. The AUKF geomagnetic filter algorithm using sunlight information can obviously improve the navigation accuracy and meet the basic requirements of low orbit small satellite orbit determination.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 11 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 13 June 2019

Zilong Wang, Zhiwen Zhang and Ng Choon Yeong Jhony

As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible…

Abstract

Purpose

As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible with its limited financial and human resources. Nonetheless, what is the efficiency of the allocation of innovative resources for civil–military integration enterprises, and what factors hinder its efficiency improvement? The purpose of this paper is to explore these problems.

Design/methodology/approach

The improved two-stage network data envelopment analysis (DEA) method is used to measure the overall efficiency and stage efficiency of the innovation resource allocation of 58 Chinese civil–military integration listed companies from 2010 to 2016. Tobit model is used to analyze the influencing factors of resource allocation efficiency.

Findings

The results indicate that the overall efficiency and stage efficiency of innovation resource allocation fluctuate in varying degrees during the period. The optimization of overall efficiency is restricted by lower efficiency of innovation achievement transformation. Enterprise scale was found to have a significant negative impact on both overall and two-stage efficiencies. Proportion of research and development (R&D) personnel had a positive effect on the overall and two-stage efficiency. Government support had a significant positive effect on the stage of innovation resource development and overall efficiency.

Originality/value

Previous research studies have used either the DEA or stochastic frontier analysis method to measure the efficiency of innovation activities as a whole and ignored the stage of initial investment to final output in innovation activities. That is, the process in which initial input of R&D resources becomes innovation output, and then becomes economic benefits. Therefore, this paper studies the efficiency of innovation resource allocation of civil–military integration listed companies. The improved two-stage chain network DEA method and Tobit model were used.

Article
Publication date: 1 December 2020

Guangkuan Deng, Jianyu Zhang and Zhiwen Fan

In this paper, extending the research on the positive effects of marketing channel conflicts, this paper aims to examine how functional and dysfunctional conflicts…

Abstract

Purpose

In this paper, extending the research on the positive effects of marketing channel conflicts, this paper aims to examine how functional and dysfunctional conflicts influence channel innovation capability by triggering channel cohesion and investigate the moderating role of a distributor’s network structure.

Design/methodology/approach

Based on social network theory and Coser’s conflict theory, this paper develops a framework, tested using Chinese manufacturers’ data, which incorporated six key variables, namely, functional conflict, dysfunctional conflict, channel cohesion, channel innovation capability, network density and network centrality.

Findings

The empirical results revealed that functional conflict can arouse channel cohesion and that distributor network density and centrality positively moderates this relationship; dysfunctional conflict negatively affects channel cohesion, but distributor network density negatively moderates this relationship; channel cohesion had a mediating effect on the relationship between channel conflict and channel innovation capability.

Originality/value

This paper contributes to the research on channel conflict by incorporating the entire channel system’s innovation capability as a positive consequence of channel conflict and expands the channel conflict literature that adopts a network structure perspective.

Details

Nankai Business Review International, vol. 12 no. 2
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 2 January 2018

Zhang Lei, Yingshan Chen, Zhiwen Liu, Wenjin Ji and Suqing Zhao

In this study, a highly sensitive and quantitative analysis method using surface-enhanced Raman scattering (SERS)-labeled immunoassay is adopted for bisphenol A bisphenol…

188

Abstract

Purpose

In this study, a highly sensitive and quantitative analysis method using surface-enhanced Raman scattering (SERS)-labeled immunoassay is adopted for bisphenol A bisphenol A (BPA) detection in water samples.

Design/methodology/approach

Primarily, an excellent SERS immuno-nanoprobe is prepared, which relays on Au/Ag core-shell nanoparticles tagged 4-mercaptobenzoic acid (4MBA) and labeled with specific antibody against BPA. Second, the coating antigen of 4,4-Bis(4-hydroxyphenol) valeric acid (BVA) coupling poly-L-lysine (PLL) conjugate (BVA-PLL) is fastened on the substrate. Based on competitive immunoassay, the antibody labeled on SERS immuno-nanoprobe will bind with the free BPA and BVA-PLL competitively.

Findings

A calibration curve was obtained by plotting the intensity of SERS signal of 4MBA at 1007 cm−1 versus the concentration of BPA. The results indicated that the limit of detection (LOD) for BPA is 1 ng/mL and present a great capacity for higher sensitivity. Furthermore, the method was able to quantitatively detect BPA in water samples, which was validated by high performance liquid chromatography (HPLC).

Originality/value

The method was developed based on competitive immunoassay, and the conjugate (BVA-PLL) was chosen as the coating antigen. Au/Ag core-shell nanoparticles played as the SERS active substrate and were labeled with Raman reporter. The value of this paper is supplying a wide potential for analysis of target analytes in the environmental monitoring and food safety.

Details

Pigment & Resin Technology, vol. 47 no. 1
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 9 June 2021

Chuang Cheng, Hui Zhang, Hui Peng, Zhiqian Zhou, Bailiang Chen, Zhiwen Zeng and Huimin Lu

When the mobile manipulator is traveling on an unconstructed terrain, the external disturbance is generated. The load on the end of the mobile manipulator will be affected…

Abstract

Purpose

When the mobile manipulator is traveling on an unconstructed terrain, the external disturbance is generated. The load on the end of the mobile manipulator will be affected strictly by the disturbance. The purpose of this paper is to reject the disturbance and keep the end effector in a stable pose all the time, a control method is proposed for the onboard manipulator.

Design/methodology/approach

In this paper, the kinematics and dynamics models of the end pose stability control system for the tracked robot are built. Through the guidance of this model information, the control framework based on active disturbance rejection control (ADRC) is designed, which keeps the attitude of the end of the manipulator stable in the pitch, roll and yaw direction. Meanwhile, the control algorithm is operated with cloud computing because the research object, the rescue robot, aims to be lightweight and execute work with remote manipulation.

Findings

The challenging simulation experiments demonstrate that the methodology can achieve valid stability control performance in the challenging terrain road in terms of robustness and real-time.

Originality/value

This research facilitates the stable posture control of the end-effector of the mobile manipulator and maintains it in a suitable stable operating environment. The entire system can normally work even in dynamic disturbance scenarios and uncertain nonlinear modeling. Furthermore, an example is given to guide the parameter tuning of ADRC by using model information and estimate the unknown internal modeling uncertainty, which is difficult to be modeled or identified.

Details

Assembly Automation, vol. 41 no. 3
Type: Research Article
ISSN: 0144-5154

Keywords

Open Access
Article
Publication date: 13 November 2018

Zhiwen Pan, Wen Ji, Yiqiang Chen, Lianjun Dai and Jun Zhang

The disability datasets are the datasets that contain the information of disabled populations. By analyzing these datasets, professionals who work with disabled…

1023

Abstract

Purpose

The disability datasets are the datasets that contain the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of the inherent characteristics of the disabled populations, so that working plans and policies, which can effectively help the disabled populations, can be made accordingly.

Design/methodology/approach

In this paper, the authors proposed a big data management and analytic approach for disability datasets.

Findings

By using a set of data mining algorithms, the proposed approach can provide the following services. The data management scheme in the approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. The data mining scheme in the approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments based on real-world dataset are conducted at the end to prove the effectiveness of the approach.

Originality/value

The proposed approach can enable data-driven decision-making for professionals who work with disabled populations.

Details

International Journal of Crowd Science, vol. 2 no. 2
Type: Research Article
ISSN: 2398-7294

Keywords

Open Access
Article
Publication date: 9 December 2019

Zhiwen Pan, Jiangtian Li, Yiqiang Chen, Jesus Pacheco, Lianjun Dai and Jun Zhang

The General Society Survey(GSS) is a kind of government-funded survey which aims at examining the Socio-economic status, quality of life, and structure of contemporary…

Abstract

Purpose

The General Society Survey(GSS) is a kind of government-funded survey which aims at examining the Socio-economic status, quality of life, and structure of contemporary society. GSS data set is regarded as one of the authoritative source for the government and organization practitioners to make data-driven policies. The previous analytic approaches for GSS data set are designed by combining expert knowledges and simple statistics. By utilizing the emerging data mining algorithms, we proposed a comprehensive data management and data mining approach for GSS data sets.

Design/methodology/approach

The approach are designed to be operated in a two-phase manner: a data management phase which can improve the quality of GSS data by performing attribute pre-processing and filter-based attribute selection; a data mining phase which can extract hidden knowledge from the data set by performing data mining analysis including prediction analysis, classification analysis, association analysis and clustering analysis.

Findings

According to experimental evaluation results, the paper have the following findings: Performing attribute selection on GSS data set can increase the performance of both classification analysis and clustering analysis; all the data mining analysis can effectively extract hidden knowledge from the GSS data set; the knowledge generated by different data mining analysis can somehow cross-validate each other.

Originality/value

By leveraging the power of data mining techniques, the proposed approach can explore knowledge in a fine-grained manner with minimum human interference. Experiments on Chinese General Social Survey data set are conducted at the end to evaluate the performance of our approach.

Details

International Journal of Crowd Science, vol. 3 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

Article
Publication date: 30 May 2008

Guo Zhiwen and Beatrice I.J.M. van der Heijden

The purpose of this article is to provide an assessment of business educational reform requirements in China, in the light of current employability needs.

3888

Abstract

Purpose

The purpose of this article is to provide an assessment of business educational reform requirements in China, in the light of current employability needs.

Design/methodology/approach

After introducing the problem the paper discusses labour market demands for business graduates. The paper continues with a thorough conceptualisation of the concept of employability and current notions on career development, and concludes with proposals for reforming the business education curriculum.

Findings

Employability enhancement should be an integrated activity that is undertaken in close collaboration between different parties, and to eliminate recruitment bottlenecks, policies that affect both graduates' suitability and labour requirements are needed.

Practical implications

The paper is a useful source of information and advice for educators, employers, and business education students planning to invest in their future employability. The paper is meant to evoke discussion and to stimulate curriculum reform efforts.

Originality/value

This paper focuses on current labour market demands and offers insights for educational institutions engaged in optimizing curricula.

Details

Education + Training, vol. 50 no. 4
Type: Research Article
ISSN: 0040-0912

Keywords

Article
Publication date: 31 July 2019

Xingping Jia, Shudi Liao, Beatrice I.J.M. Van der Heijden and Zhiwen Guo

This study in the hospitality industry aims to explore the underlying mechanisms through which socially responsible human resource management (SRHRM) affects frontline…

1193

Abstract

Purpose

This study in the hospitality industry aims to explore the underlying mechanisms through which socially responsible human resource management (SRHRM) affects frontline employees’ knowledge sharing, as well as the moderating effects of role conflict and role ambiguity.

Design/methodology/approach

Two data waves have been collected from one of the largest restaurant chains in China. Using Mplus 7.0, a structural equation modeling model is empirically tested to investigate the hypothesized moderated mediation model.

Findings

First, SRHRM appears to foster frontline employees’ perceived respect and organizational trust and further stimulates their knowledge sharing. Second, role conflict is found to weaken the relationship between SRHRM and organizational trust, while role ambiguity seems to weaken the strength of the linkage between SRHRM and perceived respect.

Practical implications

Managers should make SRHRM policies more visible and implement appropriate SRHRM practices to facilitate employees proactively to share knowledge at work. Furthermore, managers should realize the dark side effects of role conflict and role ambiguity, as they might hinder the positive impact of SRHRM on knowledge sharing.

Originality/value

This study uncovers the meditating roles of perceived respect and organizational trust through which SRHRM impacts on employees’ knowledge sharing. By incorporating the possible moderating roles of role conflict and role ambiguity, this scholarly work also increases the understanding of possible hindrances in this regard.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 9
Type: Research Article
ISSN: 0959-6119

Keywords

Open Access
Article
Publication date: 14 October 2019

Zhouxia Li, Zhiwen Pan, Xiaoni Wang, Wen Ji and Feng Yang

Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks). The purpose of this paper is…

Abstract

Purpose

Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks). The purpose of this paper is to improve the intelligence level of a crowd network by optimizing the profession distribution of the crowd network.

Design/methodology/approach

Based on the concept of information entropy, this paper introduces the concept of business entropy and puts forward several factors affecting business entropy to analyze the relationship between the intelligence level and the profession distribution of the crowd network. This paper introduced Profession Distribution Deviation and Subject Interaction Pattern as the two factors which affect business entropy. By quantifying and combining the two factors, a Multi-Factor Business Entropy Quantitative (MFBEQ) model is proposed to calculate the business entropy of a crowd network. Finally, the differential evolution model and k-means clustering are applied to crowd intelligence network, and the species distribution of intelligent subjects is found, so as to achieve quantitative analysis of business entropy.

Findings

By establishing the MFBEQ model, this paper found that when the profession distribution of a crowd network is deviate less to the expected distribution, the intelligence level of a crowd network will be higher. Moreover, when subjects within the crowd network interact with each other more actively, the intelligence level of a crowd network becomes higher.

Originality/value

This paper aims to build the MFBEQ model according to factors that are related to business entropy and then uses the model to evaluate the intelligence level of a number of crowd networks.

Details

International Journal of Crowd Science, vol. 3 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

1 – 10 of 22