bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of wind loads for a new type of insulated crossing frame in transmission lines
Authors: Wei Shutian , Liu Zhengmao , Wu Xiong , Fan Yinwei , Zhang Hui 
Published: October 2024

Abstract
A composite insulation material crossing frame has been designed to meet the safety requirements of transmission line crossing construction. The upper part of the frame is made of composite materials, which consist of modified polyurethane and reinforced fibers. The bottom is made of steel components, with a modular design that can be assembled according to actual needs. This article presents the mechanical performance analysis of the crossing frame under different wind loads. Through finite element analysis, the mechanical performance of the crossing frame meets the requirements of the specifications. The crossing frame structure is reasonable, safe, and reliable, and composite materials have corrosion resistance. It plays an important role in safety protection in transmission line crossing projects and has high application and promotion value.
Insulator defect detection algorithm based on YOLOv8-ISDD
Authors: Tang Jiarui , Peng Hong 
Published: October 2024

Abstract
Insulators are widely used in transmission lines due to their good insulation performance and pollution resistance. The damage to insulators will affect their service life and insulation performance, which brings potential safety hazards to transmission lines. With the replacement of manual inspection with UAV inspection, image detection technology based on deep learning is gradually combined with UAV inspection. Usually, the insulator defect target accounts for a small proportion of the acquired image. Therefore, the manuscript introduces an enhanced algorithm for detecting flaws on the surface of insulators, designated as YOLOv8-ISDD. In the backbone network, the YOLOv8-ISDD algorithm introduces reparameterized convolution (Repconv) to enhance the network’s capability in extracting features of defects; to fuse the features of different resolutions, PANet in the neck network is replaced by Bi-FPN for integrating features. Within the head network, the multi-scale detection head output is used to increase the diminutive object identification stratum and boost the algorithm’s capability to discern lesser targets. Experiments show that the mAP@0.5 of the YOLOv8-ISDD algorithm is 88.9%, which is 6% higher than that of the original YOLOv8 algorithm, indicating that YOLOv8-ISDD can detect insulator defects more accurately.
Improved second-order consensus control method
Authors: Xing Wenshuo , Zhou Shien 
Published: October 2024

Abstract
In this paper, due to the delay of communication and the time variability of the reference state, the traditional consistency algorithm is not very good at fitting the time-varying reference state, so this paper proposes an improved second-order consistency governing equation, adding time-varying factors and delay terms. The UAV communication model and cluster motion model are presented, and the correctness of the new algorithm is verified by theoretical derivation. Comparing the experimental result graph of the improved algorithm with the traditional second-order consistency calculation, it can be found that the proposed algorithm has a better fitting effect in the time-varying reference state.
Feature selection method for future-state power grid operation mode based on semi-supervised learning
Authors: Li Jiachen , Liu Baozhu , Zhang Shuang , Ma Jing , Wang Jiecong , Ma Jun , Shi Chen , Wang Bing 
Published: October 2024

Abstract
With the rapid development of grid interconnection and the large-scale integration of renewable energy, the number of key features in the power system is very large. To proactively monitor the status of future power grids, it is necessary to extract key features that comprehensively reflect their operation modes from the operational data. This paper presents a feature selection method for power grid operation modes based on semi-supervised learning. The method is designed to consider the semi-supervised dataset of the future-state power grid. The efficient semi-supervised feature selection method based on the eigenspace model and manifold regularization can be used to quickly and accurately obtain the key features reflecting the way the grid is operated, and its validity is verified at the IEEE39-bus system.
Iterative decoding algorithm for LDPC-RS product codes based on joint check
Authors: Zhang Dang , Zhang Zhongmin , Zheng Fenghao 
Published: October 2024

Abstract
Aiming at the problem of error in RS decoding judgment, in this paper, when constructing LDPC-RS product code, LDPC code is used as the outer code, RS code is used as the inner code, and CRC encoding is applied to RS code to improve the probability of decoding correct judgment of RS code during error correction. This paper also proposes a set of low-complexity iterative decoding schemes, which aims to improve the decoding efficiency of product codes. During the decoding process, the decoding results are verified by means of the checksum of the joint RS code and CRC at the time of decoding, and the correct code words in the previous iteration are corrected by the soft value. Simulation data show that the LDPC-RS product code effectively improves its performance, and for the product code composed of the combination of LDPC (576, 288) and RS (255, 241), when the signal-to-noise ratio Eb/N0 is 2.4 dB, its bit error rate is reduced by two orders of magnitude compared with the case without joint iterative optimization.
Double layer optimization control strategy for distribution network based on population algorithm and demand optimization
Authors: Wang Yang , Zheng Youzhuo , Tang Kang , Yang Zhong , Wen Lei 
Published: October 2024

Abstract
The double-layer optimization control method for distribution networks based on complementary electricity and demand response designed in this article has two significant advantages. Firstly, it takes into account the complex electricity production and transportation situation in mountainous areas and comprehensively optimizes and combines scheduling for distributed energy transportation and access to the distribution network. Secondly, considering the network with the player side, a double-layer optimization management is carried out to achieve a win-win situation for distributed energy between the distribution network and the microgrid. The present invention aims to search for multiple optimal solutions in multi-objective optimization and combined scheduling of distributed energy. In double-layer optimization management, the upper function is the maximization of the distribution network operator, and the lower objective function is to minimize the operating costs expected by each user.
Optimal allocation strategy for distribution network resources based on CC-OPF
Authors: Zheng Youzhuo , Hao Shuqing , Miao Yu , Zhang Yang , Song Zihong 
Published: October 2024

Abstract
A distribution network resource optimization allocation strategy considering the optimal curtailment rate is proposed to achieve the most economical consumption of photovoltaics. This strategy is based on the opportunity-constrained optimal power flow method (CC-OPF) to solve the hierarchical resource allocation model for photovoltaic distribution networks, effectively reducing network losses and abandoned light, and improving the system’s economy, safety, and flexibility. Finally, IEEE-33 nodes are selected as the example system for analysis, and the outcomes of the study confirm the validity and practicality of the model that is suggested.
Research on the development trends of vehicular OTA antenna testing technology
Authors: Zhou Lusha , Chen Rongquan , Wang Ruohao , Zhan Xi , Wu Weisheng , Zhong Jianhui 
Published: October 2024

Abstract
With the continuous advancement of communication technology, vehicles are becoming electrified, autonomous, and connected. Compared to conventional vehicles, connected automated vehicles contain many wireless technologies, including cellular (2G, 3G, LTE), Bluetooth, Wi-Fi, Global Navigation Satellite System (GNSS), collision avoidance radar, and more. Therefore, characterizing wireless onboard systems such as automobile-mounted antennas in-vehicle environments is important. Currently, over-the-air (OTA) measurement systems and techniques are widely used to evaluate the performance of automobile-mounted antennas. This article elaborates on the development trends of automotive OTA antenna testing technology, covering aspects such as standards development, testing principles, testing solutions, and engineering experience.
Gridless mixed-field sources localisation algorithm based on covariance matrix reconstruction
Authors: Chen Mengya , Lin Wei , Zhao Yongwei , Wang Guannan , Wu Leibeini , Tong Hua 
Published: October 2024

Abstract
Most existing mixed-field sources localization algorithms for the sparse array are based on fourth-order cumulant, which are computationally complex and unable to localize Gaussian sources. To realize the mixed-field localization of Gaussian sources, this paper introduces an algorithm for mixed-field source localization that utilizes the interpolation and reconstruction of the covariance matrix. The proposed algorithm uses an oblique projection operator to extract the near-field source components from the mixed-field sources and the atomic norm minimization (ANM) method to interpolate and reconstruct the covariance matrix. By using the anti-diagonal element of the reconstructed covariance matrix to eliminate the influence of the range parameter, the angle estimations of the near-field sources can be obtained. The proposed algorithm is a second-order statistic-based algorithm that can be applicable to both Gaussian and non-Gaussian sources. Simulation results verify the performance advantages of the proposed algorithm.
Informer-CSI predict CSI for non-terrestrial networks
Authors: Ding Junhao , Luo Zhiyong 
Published: October 2024

Abstract
With the continuous development of non-terrestrial networks, non-terrestrial networks are increasingly expanding to cover remote areas that terrestrial networks cannot reach. Due to the propagation characteristics between satellites and terrestrial infrastructure, Channel State Information (CSI) is often outdated, significantly compromising communication performance. Each connection process between satellites and terrestrial infrastructure can be likened to the sun’s rising and setting. To address this challenge, we leverage historical CSI and model the estimation of Channel State Information as a long-term sequence prediction problem. We employ a Transformer model to predict CSI. Simulation results demonstrate that this prediction method offers outstanding performance improvements compared to other neural network algorithms and applies to Low Earth Orbit (LEO) satellites at different orbital altitudes.
Multiple harmonics suppressing methods based on generalized resonant extended state observer: methodology and analysis
Authors: Cheng Tianji , Wu Ze , Liu Zhiwen , Wei Shengjie , Wang Ranjun , Liu Enhai 
Published: October 2024

Abstract
The problem of multiple harmonics suppression using a high-order observer, also named generalized proportional integral observer (GPIO), is studied in this paper. Firstly, owing to the insufficient presentation of the conventional improvement of GPIO aiming at harmonic uncertainties, this paper extends it to a more general form based on lumped disturbance decomposition named generalized resonant extended state observer (GRESO). Next, the equivalence between the GRESO-based controller and the two-degree-of-freedom internal model controller (IMC) structure is revealed, which makes the frequency analysis of it possible, followed by the systematic performance analysis of the GRESO-based controller concerning anti-disturbance capability, tracking performance and noise sensitivity. Finally, comparative simulations further verify the superiority of the GRESO compared with the traditional GPIO from different perspectives. From the performance analysis and simulation, it is concluded that the proposed GRESO-based controller has better performance in harmonics repression without affecting the tracking performance and noise sensitivity compared with the GPIO of the same order when the frequencies of the harmonics are known.
Affine formation control of discrete-time second-order multi-agent systems with a fixed communication period
Authors: Zheng Jiafeng , Li Jianzhen 
Published: October 2024

Abstract
This study delves into the affine formation problem within discrete-time multi-agent systems, emphasizing the significance of the fixed communication period. It explores both undirected and directed graphs to model communication networks among followers. Utilizing bilinear transformation to analyze the characteristic equation of the error system, this paper establishes sufficient conditions to attain the desired control objective. The validity of the proposed theoretical findings is confirmed through comprehensive numerical simulations.
Research on clutter suppression method based on velocity distribution in vegetation clutter environment
Authors: Sang Ze , Song Yongping , Dai Yongpeng , Xu Zhuo , Zhou Xiaolong , Li Kemeng , Jin Tian 
Published: October 2024

Abstract
A radar is a kind of radio detection equipment that is often used as a sensor for target detection and location. In modern border defense work, monitoring, early warning, and others are often based on the vegetation environment. Therefore, detecting concealed personnel targets in a vegetation environment is of great significance. Generally, the motion of branches, leaves, and plants under natural conditions will produce strong vegetation clutter, resulting in many false alarms and a sharp decrease in detection probability. To find a reasonable way to suppress vegetation clutter, this paper focuses on vegetation clutter modeling and filter designing. Firstly, we review previous research on clutter suppression and find most of the clutter modeling work focused on clutter itself but ignored the velocity difference between clutter and target, which can be used for clutter suppression. Then, the velocity distributions of vegetation clutter and targets are extracted from measured data. According to the intersection of two velocity distribution fitting curves with the least mean square error, the filter’s cutoff frequency is calculated, and an optimal signal-to-noise ratio filter is designed based on the Neyman-Pearson criterion. Finally, an experiment on vegetation clutter suppression was completed. Results show that the proposed method can achieve an average of 8.2 dB and 11 dB improvement in signal-to-noise ratio compared with traditional suppression methods.
Application of dynamic loop resistance test in the development process of 220kV new type fast switch
Authors: Zhang Shuai , Yang Yong , Wei Bo , Li Lele , Wang Bin , Yang Wanbo , Cui Zhuye , Huang Junhao 
Published: October 2024

Abstract
In order to accumulate early data of dynamic loop resistance of the fast switch, the evaluation of subsequent production use and the degree of contact ablation is carried out. This paper selects three prototypes for trial production and three engineering prototypes to collect and analyze dynamic loop resistance data. Three engineering machines before and after life test of the life prototype, before and after the capacity prototype T100a and electrical life test. Test data results are as follows: a) No. 1 prototype (lifetime prototype) showed high consistency before and after life test, indicating that main contact resistance, main contact separation and closing time have high consistency. b) After electromechanical life test of no. 3 trial sample, the equipment shall be disassembled, inspected and reassembled. Assembly process may not be in place, causing dynamic resistance stroke curve to have slightly more burrs in the closing over-travel stage, and loop resistance reaches 131 μΩ. Shows that assembly quality has a great influence on dynamic loop resistance. c) Arc contacts of the three phases of engineering machine are in good condition, and main contact resistance, separation and closing time of main contacts have high three-phase consistency. Loop resistances of three phases are 77 μΩ. 77 μΩ, and 76 μΩ, respectively. The loop resistance difference is 1.3%. Raw data of fast switching dynamic loop resistance are analyzed. It provides necessary data support for subsequent quick switch operation and maintenance and fault analysis.
Glibenclamide-encapsulated Liposomes alleviate LPS-induced Inflammatory Cascade through NLRP3 inhibition in macrophages
Authors: Kanika  , Prakash Ravi , Kumar Ajay , Mahajan Shubham , Ali Nemat , Raza Syed Shadab , Khan Rehan 
Published: October 2024

Abstract
Inflammation is a vital immune response for survival during infection and tissue damage. It is critical in maintaining normal tissue homeostasis by orchestrating appropriate inflammatory mediators. Macrophages, integral to innate immunity, respond to lipopolysaccharide (LPS) present in gram-negative bacteria by releasing inflammatory cytokines. Utilizing nanotechnology for drug delivery have been proven with enhanced therapeutic approaches by targeting the suppression of inflammatory mediators and cytokines. Recent studies have provided insights into the role of inflammasomes in intracellular processes linked to inflammation. Glibenclamide (GLB), a sulfonylurea used in type 2 diabetes treatment, has emerged as a potent inhibitor of the NLRP3 inflammasome, showing promise in alleviating inflammation-associated injuries. To overcome the limitations of GLB, such as low aqueous solubility and high permeability, in this study, methyl-PEG-DSPE lipids were used to develop GLB-loaded nanoliposomes. The size of blank liposome was measured to be 120 nm. Anionic GLB-loaded liposomes, sized 146 nm with spherical morphology, effectively suppressed the expression of NLRP3 mediators (caspase-1, ASC, IL-1B, and IL-18) and various reactive oxygen species mediators compared to free GLB, reducing LPS-induced inflammatory responses in RAW264.7 macrophages. This suggests the potential of GLB-loaded liposomes as a therapeutic agent for inflammation-related disorders, warranting further in-vivo investigation.
Novel super stack passivation in AlGaN/GaN HEMT for power electronic applications
Authors: Arunraja A , Suresh K , Senthilnathan S 
Published: October 2024

Abstract
A super-stack passivation technique is proposed for an AlGaN/GaN HEMT in order to improve the breakdown voltage and cutoff frequency. The performance of the proposed technique is benchmarked against a conventional GaN HEMT. The analysis and investigation are carried out using Technology Computer-Aided Design (TCAD). The simulation results are validated with experimental data. It is observed that the breakdown voltage of the conventional and proposed devices is 356V and 449V, respectively. In contrast to the conventional device, the breakdown voltage of the proposed device is improved by 21%. This is the manifestation of the suppression of the electric field by the super-stack passivation technique in the proposed device. Furthermore, it is also observed that the Johnson’s figure of merit in the proposed GaN-HEMT is also improved.
Suitability of using mussel shells as partial replacement of aggregates in self-compacting concrete
Authors: Bekkeri Gopal Bharamappa , Shetty Kiran K , Nayak Gopinatha , Saheb Sinan Asenar , Rao K Balakrishna 
Published: October 2024

Abstract
The handling of mussel shell wastes in coastal regions presents an issue that may be addressed by using mussel shells as a construction material. Shells from waste mussels replace aggregate in concrete, whole or in part. The shells of the mussels are well suited to be incorporated as aggregate into a concrete mix since they are primarily composed of limestone, a substance similar to the other ingredients in concrete. The current study focuses on the suitability of using mussel shells to replace aggregates in self-compacting concrete (SCC). The aggregates were substituted with mussel shells in 5, 10, 15, and 20 percentages. The mixes were initially tested for workability, including slump cone test, L-box test, flow test, and V-funnel test, followed by determining the mechanical behavior, such as flexural strength (FS), compressive strength (CS), and split tensile strength (STS). Also, the microstructural analysis of the mixes was done using scanning electron microscopy (SEM) and energy dispersive x-ray (EDX). The results showed that the concrete’s fresh, hardened, and microstructural properties could be improved by substituting aggregates with mussel shells up to 15%. Some prime results of the SCC mix exhibited a slump flow value range of 600–700 mm, a V-funnel flow time of 10–13 sec, an L-box test ratio greater than 0.8, CS of 41.97–52.93 MPa, STS of 3.69–4.18 MPa, and FS of 3.75–4.28 MPa. The study concludes that better-performed SCC can be produced at an optimum dosage of 15% mussel shells to partially replace aggregates.
Ultra-compact on-chip camera based on optoelectronic compound eyes with nonuniform ommatidia
Authors: Zhu Lin , Liu Yu-Qing , Wan Jia-Yi , Sun Zhi-Juan , Han Dong-Dong , Chen Qi-Dai , Zhang Yong-Lai 
Published: October 2024

Abstract
Compound eyes (CEs) that feature ultra-compact structures and extraordinary versatility have revealed great potential for cutting-edge applications. However, the optoelectronic integration of CEs with available photodetectors is still challenging because the planar charge-coupled device (CCD)/complementary metal oxide semiconductor (CMOS) detector cannot match the spatially distributed images formed by CE ommatidia. To reach this end, we report here the optoelectronic integration of CEs by manufacturing 3D nonuniform ommatidia for developing an ultra-compact on-chip camera. As a proof-of-concept, we fabricated microscale CEs with uniform and nonuniform ommatidia through femtosecond laser two-photon photopolymerization, and compared their focusing/imaging performance both theoretically and experimentally. By engineering the surface profiles of the ommatidia at different positions of the CE, the images formed by all the ommatidia can be tuned on a plane. In this way, the nonuniform CE can be directly integrated with a commercial CMOS photodetector, forming an ultra-compact CE camera. Additionally, we further combine the CE camera with a microfluidic chip, which can further serve as an on-chip microscopic monitoring system. We anticipate that such an ultra-compact CE camera may find broad applications in microfluidics, robotics, and micro-optics.