Purpose: This paper aims to explore the impact of corporate financialization (CF) on green innovation (GI) and further disclose the moderating role of CEO’s individual characteristics in such relationship from the perspective of corporate governance. Design/methodology/approach: This paper uses empirical research methods to study the impact of CF on GI based on the evidence from China capital market. Findings: The findings indicate that: CF has a significant inhibiting effect on GI; female CEOs weaken the inhibiting effect of CF on GI compared to male CEOs; and CEO’s financial background positively moderates the inhibiting effect of CF on GI. Originality/value: This paper, first, supplements the research literature on the economic consequences of CF and influencing factors of GI in non-financial firms. Then, it opens up the internal impact mechanism of CF on GI, which is moderated by the individual characteristics of corporate CEOs. Finally, it provides important reference for how to suppress CF of non-financial firms, cultivate CEOs that meet the needs of corporate development and promote GI development of enterprises through empirical evidence from China.

Network flow watermark technology is a traffic marking technique that embeds watermark information into the characteristics of network flows to mark and trace attack flows generated by network attackers. However, with the development of network attack techniques, the time and number of packets required for network attacks have decreased. Existing network flow watermark technologies fail to balance watermark robustness and efficiency, resulting in poor practicality. To address this issue, this paper proposes an efficient hexadecimal network flow watermark method. The method introduces an efficient interval watermark algorithm and utilizes an interval synchronization algorithm to self-learn watermark parameters, thereby improving the encoding efficiency of the watermark. The design of watermark start and end markers ensures the practicality of network watermarks, enabling traceability and source attribution of attack flows in real network environments. The proposed method is experimentally tested using real network traffic, and the results demonstrate that even in the presence of a network jitter, the watermark detection success rate of this scheme remains above 95%. Compared to other network flow watermark schemes, the hexadecimal network flow watermark proposed in this paper achieves a 50% improvement in encoding and decoding efficiency while ensuring robustness. It also exhibits excellent resistance to network jitter, packet loss, and false packet insertion.

Because of the noncontact structure of wireless power transfer (WPT) systems, foreign metal objects can easily enter into the coupling region—and often move under the action of electromagnetic force (EMF), instead of staying relatively static, which brings a difficult problem for foreign object detection technology. In this paper, we investigate the motion state of foreign metal objects with different properties under the action of electromagnetic force in the coupling space of WPT system. The equivalent model of the circuit parameters with the intervention of foreign metal objects and the differential equations for the motion of foreign metal objects are derived. Combined with finite-element simulation calculations, the motion characteristic of ferromagnetic and non-ferromagnetic metals under EMF was analyzed. The results show that, due to the size and properties of the metal, non-ferromagnetic foreign metal objects have four states: vibration, suspension, static and flying out. The ferromagnetic foreign metal objects will adsorb on the coil surface and rapidly heat up. By establishing an experimental prototype, the analysis uses high-speed acquisition equipment to obtain the movement of foreign metal objects which verified the correctness of the simulation. This research is also beneficial to the operational safety and reliability of the WPT.

In order to synthesize controllers for wheeled mobile robots (WMRs), some design techniques are usually based on the assumption that the center of mass is at the center of the robot itself. Nevertheless, the exact position of the center of mass is not easy to measure, thus WMRs is a typical uncertain nonlinear system with unknown control direction. Based on the fast terminal sliding mode control, an adaptive fuzzy path tracking control scheme is proposed for mobile robots with unknown control direction. In this scheme, the fuzzy system is used to approximate unknown functions, and a robust controller is constructed to compensate for the approximation error. The Nussbaum-type functions are integrated into the robust controller to estimate the unknown control direction. It is proved that all the signals in the closed-loop system are bounded, and the tracking error converges to a small neighborhood of the origin in a limited time. The effectiveness of the proposed scheme is illustrated by a simulation example.

Current electric vehicles have problems such as low charging efficiency, low output power, and poor interoperability during the wireless charging process. This is due to differences in the design parameters of different manufacturers or the offset of the coil. This article uses parameters closely related to the nature of the system: normalized angular frequency A, quality factor Q, Q f to simplify the analysis of the LCC-LCC electric vehicle wireless power transfer system, and obtain a simplified mathematical model. Then use the above model to analyze the nature of the system. A method is proposed to improve the interoperability of the system by adjusting the frequency. Finally, the feasibility of the above theory is verified by simulation and experiment. Provide a reference for the research on the interoperability of electric vehicle wireless power transfer.

Wireless power transfer (WPT) systems with rotating coupling mechanisms often use both radially and circumferentially located metals for encapsulation purposes. Under the influence of a magnetic field, an eddy current effect occurs which leads to changes in system parameters and efficiency. Temperature increases in metals due to eddy current losses can also impact system safety. This article proposes a new rotary coupling mechanism that utilizes the principle of internal circulation of magnetic flux path. A magnetic field distribution model that includes metal is created, and the strength of the eddy current effect is analyzed. To minimize the coupling between the coupling mechanism and the metal, the β -function is used to optimize the coil, and the optimal number of design turns N _e is selected. The simulation and experimental results indicate that the suppression method presented in this article can reduce parameters, such as self-inductance and mutual inductance by less than 3%, even in an environment that is significantly affected by iron. The system efficiency can be sustained at 81.72%. The proposed method's effectiveness was proven as the waveform experienced no significant distortion and the temperature rise of the metal was smaller when compared with the control group.