Aiming at the problems of poor transmission effect and serious data loss in digital engraving, this paper puts forward a digital modeling model from the perspective of spatial expression. First, in-depth analysis of the original digital art design can not solve the problem of digital carving accuracy, and analysis of the reasons for the poor calculation accuracy of digital carving. Using wireless network technology and WIFI technology to obtain digital information of digital engraving, through the Internet design scheme statistics, according to the digital features to judge the form and result of engraving, remove irrelevant spatial information. Then, according to the Internet data monitoring, the change rate and engraving method of the engraving data are calculated, and compared with the actual engraving requirements, the parameters and indicators of digital art design are adjusted. MATLAB simulation test analysis shows that in the case of wireless communication and Internet monitoring, the digital engraving model of spatial expression technique can improve the accuracy of artistic design, and the accuracy rate is greater than the actual design requirements. According to the design requirements of different wireless networks and network communications, the time and compliance rate of digital engraving can meet the needs of artistic design.
The reduced switch count three-level inverter (RSC TLI) can reduce the number of power switches, but the conventional space vector modulation (SVM) method generates the large dc-link current ripple and reduces the dc-link capacitor reliability. This article proposes a novel dc-link current ripple reduction method, which is applicable to both balanced and unbalanced neutral-point (NP) voltage (NPV) conditions. Firstly, the duty cycles calculation of the conventional SVM method is introduced. To realize the dc-link current ripple reduction, the region division method is optimized by analyzing the range of the duty cycle distribution factor and combining the magnitude of output current. Doing so, the calculating complexity of duty cycles is reduced. Secondly, a deadbeat control method is designed for accurate and fast separate control of capacitor voltages. At last, appropriate switching sequences are arranged. Compared with the conventional SVM method, the dc-link current ripple of the proposed method is reduced by one-fourth and two-fifths in the high and low modulation indices, respectively, and maintains the rewarding quality of output currents with balanced and unbalanced NPVs. The feasibility and effectiveness of the proposed method are verified by simulations and experiments.
With the acceleration of urbanization and rapid economic development, the problem of urban solid waste (SW) has become increasingly prominent. Traditional SW disposal treatment methods, mainly landfill and incineration, pose issues of environmental pollution and resource waste. This study aims to analyze the recycling pathways of urban SW and establish a multi-objective optimization model to achieve comprehensive optimization of economic, environmental, and social goals. Through data collection, quantification and standardization, establishment of a multi-objective optimization problem model, NSGA-II algorithm solution, and simulation and result analysis, this paper seeks to provide scientific decision support and technical guidance for urban SW management. Taking Wuhan as an example, this study analyzes the treatment methods of six different types of SW and seeks the optimal treatment pathways through the multi-objective optimization model. The results show that the multi-objective optimization model can effectively balance economic costs, environmental costs, and utilization efficiency in SW treatment and utilization, providing new ideas for achieving urban sustainable development and resource recycling.
Surface wave inherently has less propagation loss as it adheres to the surface and minimizes unwanted dissipation in space. Recently, they find applications in network-on-chip (NoC) communications and intelligent surface aided mobile networked communications. This paper puts forward a reconfigurable surface wave platform (RSWP) that utilizes liquid metal to produce highly energy-efficient and adaptive pathways for surface wave transmission. Our simulation results illustrate that the proposed RSWP using Galinstan can obtain a $25{\rm dB}$ gain in the electric field for a propagation distance of $35\lambda$ at $30{\rm GHz}$ where $\lambda$ denotes the wavelength. Moreover, less than $1{\rm dB}$ loss is observed even at a distance of $50\lambda$, and a pathway with right-angled turns can also be created with only a $3.5{\rm dB}$ loss at the turn.
Reconfigurable intelligent surface (RIS) as a smart reflector is revolutionizing research for next-generation wireless communications. Complementing this is a concept of using RIS as an efficient propagation medium for potentially superior path loss characteristics. Motivated by a recent porous surface architecture that facilitates reconfigurable pathways with cavities filled with fluid metal, this paper studies the propagation characteristics of different pathway configurations in different lossy materials on the reconfigurable surface wave platform by using a commercial full electromagnetic simulation software and S-parameters experiments. This paper also looks into the best scheme to switch between a straight pathway and a $90^\circ$-bend and attempts to quantify the additional path loss when making a turn. Our experimental results verify the simulation results, showing the effectiveness of the proposed reconfigurable surface wave platform for a wide-band, low path loss and highly programmable communications.
Reconfigurable surfaces facilitating energy-efficient, intelligent surface wave propagation have recently emerged as a technology that finds applications in many-core systems and 6G wireless communications. In this paper, we consider the porosity-based reconfigurable surface where there are cavities that can be filled on-demand with fluid metal such as Galinstan, in order to create adaptable channels for efficient wave propagation. We aim to investigate the propagation phenomenon of signal fluctuation resulting from the diffraction of discrete porosity and study how different porosity patterns affect this phenomenon. Our results cover the frequency range between 21.7GHz and 31.6GHz when a WR-34 waveguide is used as the transducer.
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