Qing Xia, Shumin Yan, Yuliang Zhang and Baizhu Chen
The purpose of this paper is to examine the curvilinear relationship between knowledge leadership and knowledge hiding and the moderating role of psychological ownership on…
Abstract
Purpose
The purpose of this paper is to examine the curvilinear relationship between knowledge leadership and knowledge hiding and the moderating role of psychological ownership on influencing the curvilinear relationship.
Design/methodology/approach
In total, 403 data were collected from participants in a high-technology company via a two-wave survey. Hierarchical regression analyses were used to test the hypotheses.
Findings
Results revealed an inverted U-shaped relationship between knowledge leadership and knowledge hiding. The employees exhibited more knowledge hiding in a moderate level of knowledge leadership than in lower and higher levels of knowledge leadership. Moreover, psychological ownership significantly moderated the curvilinear relationship such that the inverted U-shaped relationship was more pronounced among employees with high psychological ownership.
Practical implications
Employees’ reaction to knowledge leadership may vary from different levels of knowledge leadership. Moreover, organizations should boost employees’ psychological ownership especially for the collective identity that helps them own knowledge as “ours.”
Originality/value
This study extends both the leadership and knowledge management behavior literatures.
Details
Keywords
The authors wanted to study the antecedents of knowledge hiding from a leadership perspective.
Abstract
Purpose
The authors wanted to study the antecedents of knowledge hiding from a leadership perspective.
Design/methodology/approach
The authors tested two hypotheses on high-tech employees in China. H1 was: “There is a curvilinear relationship between knowledge leadership and knowledge hiding behaviors.” H2 was: “Psychological ownership moderates the inverted U-shaped relationship between knowledge leadership and employees’ knowledge hiding behaviors such that this relationship is more pronounced among employees with high psychological ownership compared to employees with low psychological ownership.”
Findings
Results revealed an inverted U-shaped relationship between knowledge leadership and knowledge hiding. Psychological ownership moderates the link between knowledge leadership and knowledge hiding. The inverted U-shaped relationship between knowledge leadership and knowledge hiding was more significant among employees with higher psychological ownership, whereas the inverted U-shaped relationship became weaker among employees with lower psychological ownership.
Originality/value
The paper was significant because previous researchers had not studied the antecedents of knowledge hiding from a leadership perspective.
Details
Keywords
Yuliang Zhou, Mingxuan Chen, Guanglong Du, Ping Zhang and Xin Liu
The aim of this paper is to propose a grasping method based on intelligent perception for implementing a grasp task with human conduct.
Abstract
Purpose
The aim of this paper is to propose a grasping method based on intelligent perception for implementing a grasp task with human conduct.
Design/methodology/approach
First, the authors leverage Kinect to collect the environment information including both image and voice. The target object is located and segmented by gesture recognition and speech analysis and finally grasped through path teaching. To obtain the posture of the human gesture accurately, the authors use the Kalman filtering (KF) algorithm to calibrate the posture use the Gaussian mixture model (GMM) for human motion modeling, and then use Gaussian mixed regression (GMR) to predict human motion posture.
Findings
In the point-cloud information, many of which are useless, the authors combined human’s gesture to remove irrelevant objects in the environment as much as possible, which can help to reduce the computation while dividing and recognizing objects; at the same time to reduce the computation, the authors used the sampling algorithm based on the voxel grid.
Originality/value
The authors used the down-sampling algorithm, kd-tree algorithm and viewpoint feature histogram algorithm to remove the impact of unrelated objects and to get a better grasp of the state.
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Keywords
Yongfang Li, Si Shi, Yuliang Wu and Yang Chen
The purpose of this review is to systematically understand the development of enterprise social media (ESM) research, quantitatively analyze the landscape and track the…
Abstract
Purpose
The purpose of this review is to systematically understand the development of enterprise social media (ESM) research, quantitatively analyze the landscape and track the development of ESM literature and reveal new trends and challenges in ESM research.
Design/methodology/approach
Based on 321 relevant literature studies (2005–2020) collected from the Web of Science core collection, the visualization tool CiteSpace is used to conduct bibliometric cocitation and cooccurrence analyses to quantify and visualize the landscape and evolution of ESM research.
Findings
Through analyzing the author cocitation network, document cocitation network, journal cocitation network and keywords cooccurrence network, this review proposes an integrated research framework, which highlights major purposes, antecedents and consequences of ESM use in organizations and presents future research trends of ESM research.
Originality/value
Different from the existing qualitative review of ESM, this review adopts bibliometric review to quantify and visualize the landscape of ESM research.
Details
Keywords
Mingze Wang, Yuhe Yang and Yuliang Bai
This paper aims to present a novel adaptive sliding mode control (ASMC) method based on the predefined performance barrier function for reusable launch vehicle under attitude…
Abstract
Purpose
This paper aims to present a novel adaptive sliding mode control (ASMC) method based on the predefined performance barrier function for reusable launch vehicle under attitude constraints and mismatched disturbances.
Design/methodology/approach
A novel ASMC based on barrier function is adopted to deal with matched and mismatched disturbances. The upper bounds of the disturbances are not required to be known in advance. Meanwhile, a predefined performance function (PPF) with prescribed convergence time is used to adjust the boundary of the barrier function. The transient performance, including the overshoot, convergence rate and settling time, as well as the steady-state performance of the attitude tracking error are retained in the predetermined region under the barrier function and PPF. The stability of the proposed control method is analyzed via Lyapunov method.
Findings
In contrast to conventional adaptive back-stepping methods, the proposed method is comparatively simple and effective which does not need to disassemble the control system into multiple first-order systems. The proposed barrier function based on PPF can adjust not only the switching gain in an adaptive way but also the convergence time and steady-state error. And the efficiency of the proposed method is illustrated by conducting numerical simulations.
Originality/value
A novel barrier function based ASMC method is proposed to fit in the amplitude of the mismatched and matched disturbances. The transient and steady-state performance of attitude tracking error can be selected as prior control parameters.
Details
Keywords
Renluan Hou, Jianwei Niu, Yuliang Guo, Tao Ren, Bing Han, Xiaolong Yu, Qun Ma, Jin Wang and Renjie Qi
The purpose of this paper is to enhance control accuracy, energy efficiency and productivity of customized industrial robots by the proposed multi-objective trajectory…
Abstract
Purpose
The purpose of this paper is to enhance control accuracy, energy efficiency and productivity of customized industrial robots by the proposed multi-objective trajectory optimization approach. To obtain accurate dynamic matching torques of the robot joints with optimal motion, an improved dynamic model built by a novel parameter identification method has been proposed.
Design/methodology/approach
This paper proposes a novel multi-objective optimal approach to minimize the time and energy consumption of robot trajectory. First, the authors develop a reliable dynamic parameters identification method to obtain joint torques for formulating the normalized energy optimization function and dynamic constraints. Then, optimal trajectory variables are solved by converting the objective function into relaxation constraints based on second-order cone programming and Runge–Kutta discrete method to reduce the solving complexity.
Findings
Extensive experiments via simulation and in real customized robots are conducted. The results of this paper illustrate that the accuracy of joint torque predicted by the proposed model increases by 28.79% to 79.05% over the simplified models used in existing optimization studies. Meanwhile, under the same solving efficiency, the proposed optimization trajectory consumes a shorter time and less energy compared with the existing optimization ones and the polynomial trajectory.
Originality/value
A novel time-energy consumption optimal trajectory planning method based on dynamic identification is proposed. Most existing optimization methods neglect the effect of dynamic model reliability on energy efficiency optimization. A novel parameter identification approach and a complete dynamic torque model are proposed. Experimental results of dynamic matching torques verify that the control accuracy of optimal robot motion can be significantly improved by the proposed model.
Details
Keywords
Lili Wang, Mengxue He, Min Wang and Yuliang Wei
Under the influence of loading, manufacturing, installation and other factors, the axis of sleeve bearing and journal will not be aligned, which will have a great impact on…
Abstract
Purpose
Under the influence of loading, manufacturing, installation and other factors, the axis of sleeve bearing and journal will not be aligned, which will have a great impact on running stability and life of bearing. The existence of oil groove can effectively improve the life of sleeve bearing and working efficiency. The lubrication performance of two and three grooves sleeve bearing considering journal misalignment is analyzed.
Design/methodology/approach
To solve the difference of discontinuous position of oil film thickness, it is necessary to use the flow balance relationship in the finite control space, and oil film thickness equation of multi-groove sleeve bearing considering journal misalignment is gained.
Findings
The friction and bearing capacity of journal bearing with oil groove increase with the increase of journal inclination angle. At the same journal inclination angle, the bearing capacity of two-axial groove journal bearing is larger than that of three-axial groove journal bearing, but the friction of two-axial groove journal bearing shows the trend of the first bigger and then smaller than that of three-axial groove journal bearing.
Originality/value
The research has great significance to optimize bearing lubrication performance and increase bearing working life.
Details
Keywords
Jian Hu, Naigang Cui, Yuliang Bai and Yunhai Geng
The purpose of this paper is to present a novel guidance law that is able to control the impact time while the seeker’s field of view (FOV) is constrained.
Abstract
Purpose
The purpose of this paper is to present a novel guidance law that is able to control the impact time while the seeker’s field of view (FOV) is constrained.
Design/methodology/approach
The new guidance law is derived from the framework of Lyapunov stability theory to ensure interception at the desired impact time. A time-varying guidance gain scheme is proposed based on the analysis of the convergence time of impact time error, where finite-time stability theory is used. The circular trajectory assumption is adopted for the derivation of accurate analytical estimation of time-to-go. The seeker’s FOV constraint, along with missile acceleration constraint, is considered during guidance law design, and a switching strategy to satisfy it is designed.
Findings
The proposed guidance law can drive missile to intercept stationary target at the desired impact time, as well as satisfies seeker’s FOV and missile acceleration constraints during engagement. Simulation results show that the proposed guidance law could provide robustness against different engagement scenarios and autopilot lag.
Practical implications
The presented guidance law lays a foundation for using cooperative strategies, such as simultaneous attack.
Originality/value
This paper presents further study on the impact time control problem considering the seeker’s FOV constraint, which conforms better to reality.
Details
Keywords
Haixia Wang, Yuliang Wang, Yaozong Sun, Qiong Pu and Xiao Lu
Because of the inconvenience and inflexibility of the laser controller, the applied range of optogenetics is limited. This paper aims to present the design of a portable…
Abstract
Purpose
Because of the inconvenience and inflexibility of the laser controller, the applied range of optogenetics is limited. This paper aims to present the design of a portable remote-controlled laser controller system, including the remote-controlled system and the laser stimulator.
Design/methodology/approach
The remote-controlled system is handheld, which can wirelessly adjust the power and the emitting frequency of the laser by utilizing the ZigBee module.
Findings
The laser stimulator can be mounted on the animal as it is light weight (35 g) and small in size (40 × 40 × 20 mm), and its power and frequency can be appropriately adjusted by changing the current amplitude and duty radio. In the end, the experiments verify the reliability and effectiveness of the laser controller.
Originality/value
In virtue of the modular design of the driven circuit and the reasonable layout, the whole system has the advantages of small volume, convenient control and high stability, which provide the convenience for the development of portable optogenetics animal robot experiment and has broad market prospects.
Details
Keywords
Hongwei Ma, Yueri Cai, Yuliang Wang, Shusheng Bi and Zhao Gong
The paper aims to develop a cownose ray-inspired robotic fish which can be propelled by oscillating and chordwise twisting pectoral fins.
Abstract
Purpose
The paper aims to develop a cownose ray-inspired robotic fish which can be propelled by oscillating and chordwise twisting pectoral fins.
Design/methodology/approach
The bionic pectoral fin which can simultaneously realize the combination of oscillating motion and chordwise twisting motion is designed based on analyzing the movement of cownose ray’s pectoral fins. The structural design and control system construction of the robotic fish are presented. Finally, a series of swimming experiments are carried out to verify the effectiveness of the design for the bionic pectoral fin.
Findings
The experimental results show that the deformation of the bionic pectoral fin can be well close to that of the cownose ray’s. The bionic pectoral fin can produce effective angle of attack, and the thrust generated can propel robotic fish effectively. Furthermore, the tests of swimming performance in the water tank show that the robotic fish can achieve a maximum forward speed of 0.43 m/s (0.94 times of body length per second) and an excellent turning maneuverability with a small radius.
Originality/value
The oscillating and pitching motion can be obtained simultaneously by the active control of chordwise twisting motion of the bionic pectoral fin, which can better imitate the movement of cownose ray’s pectoral fin. The designed bionic pectoral fin can provide an experimental platform for further study of the effect of the spanwise and chordwise flexibility on propulsion performance.