Search Results - Peng Li

Grey target decision making is a useful tool to solve multiple-criteria decision-making problems. Decision makers’ expected information can reflect their preferences and play an important role in decision process. In this paper, a new grey target group decision-making method considering decision mak...

Full description

This study investigates the task allocation problem for multiple mobile robots in complex real-world scenarios. To address this challenge, a distributed game-theoretic approach is proposed to enable collaborative decision-making. First, the task allocation problem for multiple mobile robots is formu...

Full description

Thyristor controlled phase shifting transformer (TCPST) is a new type of power flow control equipment. Due to its series and shunt coupling topology and special connection to the power grid, it is necessary to consider the handling strategy in case of power grid faults. Based on the structure and pr...

Full description

We explain the braking index n=2.19±0.03 of PSR J1846−0258 by incorporating the time evolution of its magnetic inclination angle and dipolar magnetic field. Based on observational timing data and the age of the associated supernova remnant (tSNR≈1.77kyr), we estimate a magnetic inclination change ra...

Full description

The vacuum disc phenomenon (VDP), characterized by gas accumulation within degenerated intervertebral discs, is a radiographic hallmark of advanced spinal degeneration. Although this phenomenon is rare, VDP may also rarely present as radiculopathy due to the compression of nerve structures by dynami...

Full description

Previous research has suggested that a fixed creative mindset is detrimental to creativity. Drawing on social learning theory, we propose an alternative perspective, positing that the relationship between a fixed creative mindset and creativity depends on the motivational climate, which may reverse...

Full description

<p class="Abstract"><span lang="EN-US">A detailed comparative study of modulation techniques for single and three phase dc-ac inverters is presented.  Sinusoidal Pulse Width Modulation, Triplen Sinusoidal Pulse Width Modulation, Space Vector Modulation, Selective Harm...

Full description

To accurately determine the nuclear equation of state (EoS) at finite baryon chemical potential (μB) remains a challenging yet essential goal in the study of QCD matter under extreme conditions. In this study, we develop a deep learning assisted quasi-parton model, which utilizes three deep neural n...

Full description

Obstacle intrusion detection in railway systems is a critical technology for ensuring the operational safety of trains. However, existing algorithms face challenges related to insufficient multiscale object detection, high model redundancy, and poor real-time performance. Building upon the RT-DETR f...

Full description

This paper presents a model predictive control (MPC)-enabled disturbance-rejection controller approach for a pneumatic manipulator system subjected to complex nonlinear terms within the system. To facilitate the handling of the complex nonlinear terms, they are modeled as disturbances. To address th...

Full description

With the increasing popularity of electric vehicles (EVs) through purchase subsidy (PS) policies, the personal carbon tax (PCT) policy has been adopted by some countries due to its characteristics of restraining the diffusion of fuel vehicles (FVs) from the consumer side. This paper constructs a thr...

Full description

As a decentralized energy management paradigm, micro-energy grid (MEG) clusters enable synergistic operation of heterogeneous distributed energy assets, particularly through multi-energy vector coupling mechanisms that enhance distributed energy resource (DER) utilization efficiency in next-generati...

Full description

Uncrewed aerial vehicles (UAVs) have emerged as a promising solution for enhancing wireless networks, especially in challenging environments. However, recent studies that integrate reconfigurable intelligent surfaces (RIS) with UAVs tend to focus on limited aspects, such as single-UAV deployments or...

Full description

Rural tourism plays a crucial role in promoting industrial revitalization in mountainous regions. Drawing inspiration from the site selection mechanisms of nature reserves, this study constructs a gap analysis framework tailored to rural tourism destinations, aiming to provide technical support for...

Full description

Background: The Global Cancer Observatory (GLOBOCAN) 2022 and the Global Burden of Disease (GBD) 2021 are two primary databases for assessing the global cancer burden. This study aimed to compare the incidence and mortality rates of tracheal, bronchus, and lung (TBL) cancer reported in these databas...

Full description

A plot experiment including four treatments, CK (N 105 kg ha−1 as urea, including a basal N application of 35 kg ha−1 and a topdressing N 70 kg ha−1 at turned green stage) and optimized N management (OPT1, OPT2 and OPT3, applied two-thirds, one-third and two-fifths N at jointing stage, respectively,...

Full description

Objective To explore the optimal management strategies for small-sized nonfunctional pancreatic neuroendocrine tumors (NF-PanNETs) and to assess the rationale for the ‘wait and see’ approach.Methods This retrospective study analyzed data from 2,052 patients with small-sized NF-PanNETs (tumor size ≤2...

Full description

In this paper, a two-dimensional (2-D) vector quantization with vector linear prediction (VLP-VQ) is proposed to improve the transmission performance of the digital mobile fronthaul (MFH). Compared with the conventional vector quantization based on k-means clustering algorithm, the VLP technique can...

Full description

Accurate prediction of Air Quality Index (AQI) concentrations remains a critical challenge in environmental monitoring and public health management due to the complex nonlinear relationships among multiple atmospheric factors. To address this challenge, we propose a novel prediction model that integ...

Full description