摘要：
Abstract: Based on the concept of “Triple Creations (Innovation, Creativity, Entrepreneurship)”, given the characteristics of practical training, design courses, focusing on the process of assessment and ability development, and other practical links, to improve the rationality and objectivity, the analytic hierarchy process (AHP) is adopted to the practical session score and applied to electronic practice, information system course design, and other practical links. The actual teaching effect shows that the scoring method is feasible, objective, and reasonable, which is conducive to the improvement of students’ motivation to participate in practical session and the cultivation “Triple Creations”.#@#@#摘要: 基于“三创(创新、创造、创业)”理念，针对实习实训及设计类课程等实践环节的特点，注重过程考核及能力培养，采用层次分析法合理客观地评价实践环节效果，并应用到电子实习、信息系统课程设计、生产实习等实践环节中。实际教学效果表明，该评分方法可行，客观，合理，有利于学生参与实践环节的积极性及“三创”能力的培养。
期刊：
2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP),2024年:1-5
作者机构：
[Sheng Chen] Zhuhai Beijing Institute of Technology,Beijing Institute of Technology,Zhuhai,China;[Wei Chen; Huanlong Zhao] Wuhan Polytechnic University,School of Electronic and Electrical Engineering,Hubei,China
会议名称：
2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
会议时间：
22 November 2024
会议地点：
Zhuhai, China
会议论文集名称：
2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
摘要：
When performing object tracking tasks, precisely tracking the desired target is the optimization goal of the tracking algorithm. Generally, deep learning models with larger model sizes and higher computational costs tend to have stronger computational capabilities. However, uncontrolled increases in model size and computational cost can make the algorithm difficult to use in practice. Therefore, to find a suitable balance between increasing computational cost and improving computational performance, this paper introduces a lightweight object tracking method that introduces a CNN attention mechanism. Based on SiamRPN++, this algorithm employs a more concise corner prediction head and uses depthwise separable convolution to replace general convolution, significantly reducing the computational cost of ResNet-50. Moreover, symmetric point-wise expansion (PE) and point-wise linear projection (PLP) are utilized to maximize computational performance while minimizing computational cost. Additionally, the Squeeze-and-Excitation (SE) network is employed to introduce an attention mechanism to each convolutional module. These strategies effectively make the algorithm lightweight and improve its computational efficiency.
摘要：
Multipartite nonlocality is a measure of multipartite quantum correlations, and has been used to characterize quantum criticality in various low-dimensional quantum models. In this work, we propose the nonlocality spectrum [|lambda(i)|} of the nonlocality transfer matrix as a tool to characterize multipartite nonlocality and quantum criticality in infinite-size translation-invariant quantum systems. The approach is used to analyze four typical quantum spin chain models, i.e., the transverse-field Ising model, an XXZ model, a three-body coupling cluster model and an XYZ model. In various types of quantum phase transitions in these models, it is found that at the critical points, the leading eigenvalue |lambda(i)| presents identifiable signals, and the spectrum gap Delta|lambda| = |lambda(1)| - |lambda(2)| closes. Moreover, the nonlocality spectrum provides a unified mathematical framework to reveal the underlying mechanisms for various previously reported behaviors of multipartite nonlocality. Our results demonstrate the power of the nonlocality spectrum as a valuable tool for the comprehensive characterization of multipartite nonlocality and quantum criticality in one-dimensional quantum systems.
摘要：
The unique electronic structure of layered black phosphorus (BP) makes it an ideal candidate material for electrocatalytic oxygen evolution reaction (OER). Charge doping effectively improves the environmental stability and catalytic activity of BP by providing electron transfer channels and reducing charge transfer barrier. Therefore, based on the first principles calculation, this paper theoretically discusses how the intrinsic charge doping without introducing impurities changes the electronic structure and improves the catalytic activity of BP. It is found that charge engineering can effectively regulate and change the electronic structure and work function by stimulating the hybridization between different P-p orbitals, while maintaining the direct bandgap semiconductor characteristics of monolayer BP system. More importantly, in the catalytic process of OER, electrons and hole doping as free charges provide different donor and acceptor energy levels for the system depending on the doping concentration, and affect the adsorption capacity of monolayer BP to different reaction intermediates. At a certain doping concentration, the carrier mobility increases significantly, and the optimal Gibbs free energy and overpotential can be achieved in monolayer BP. These results provide new opportunities and possibilities for designing charge-engineered BP catalysts with adjustable electronic structure and excellent OER activity.
摘要：
随着高等教育的普及和毕业生数量的增加,高校毕业生的就业问题日益严峻。实习实训基地作为连接理论教学与实际工作的桥梁,对提升学生实践能力、增强就业竞争力具有重要作用。本文旨在研究高校就业实习基地的建设现状、存在的问题及其改进...展开更多 随着高等教育的普及和毕业生数量的增加,高校毕业生的就业问题日益严峻。实习实训基地作为连接理论教学与实际工作的桥梁,对提升学生实践能力、增强就业竞争力具有重要作用。本文旨在研究高校就业实习基地的建设现状、存在的问题及其改进对策。研究发现,目前高校实习基地在数量和质量上存在不足,主要问题包括资源配置不合理、管理机制不完善、校企合作不够紧密等。针对这些问题,本文提出了优化资源配置、完善管理机制、加强校企合作和提高师生参与度等建议,为解决高校毕业生就业问题提供有力支持。As higher education becomes more widespread and the number of graduates increases, the employment issue for university graduates is becoming increasingly severe. Internship and training bases, serving as bridges between theoretical teaching and practical work, play a crucial role in enhancing students’ practical skills and boosting their employment competitiveness. This paper aims to study the current construction status of university employment internship bases, identify existing problems, and propose improvement strategies. The research reveals that there are deficiencies in both the quantity and quality of current internship bases. The main issues include unreasonable resource allocation, inadequate management mechanisms, and insufficient university-enterprise cooperation. To address these problems, this paper proposes suggestions such as optimizing resource allocation, improving management mechanisms, strengthening university-enterprise cooperation, and increasing the participation of teachers and students. These recommendations provide strong support for solving the employment problems of university graduates.收起
作者机构：
[Zhang, Deng-Wei] Luoyang Inst Sci & Technol, Dept Math & Phys, Luoyang 471023, Peoples R China.;[Zheng, Li-Li] Jianghan Univ, Key Lab Optoelect Chem Mat & Devices, Minist Educ, Wuhan 430074, Peoples R China.;[Wang, Mei] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430040, Peoples R China.;[Zhou, Yuan] Hubei Univ Automot Technol, Sch Elect & Informat Engn, Hubei Key Lab Energy Storage & Power Battery, Shiyan 442002, Peoples R China.;[Lu, Xin-You] Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Peoples R China.
通讯机构：
[Zheng, LL ] J;Jianghan Univ, Key Lab Optoelect Chem Mat & Devices, Minist Educ, Wuhan 430074, Peoples R China.
摘要：
We investigate theoretically the chaotic dynamics in an optomechanical system composed of coupled optical resonators. We find that introducing additional loss through a nanotip can induce chaotic motion. The underlying reason for this unconventional phenomenon lies in steering the system parameters via an additional loss that can bring the system to the vicinity of a chaotic regime, which dynamically enhances the optomechanical nonlinearity and suppresses the negative influence of loss, giving rise to the emergence of chaotic motion. Our work may open a different avenue for designing and developing chaotic systems in optomechanics and provide theoretical guidance for chaotic secure communication.
摘要：
This study addresses the challenges associated with single-system long-baseline real-time kinematic (RTK) navigation, including limited positioning accuracy, inconsistent signal reception, and significant residual atmospheric errors following double-difference corrections. This study explores the effectiveness of long-baseline RTK navigation using an integrated system of the BeiDou Navigation Satellite System (BDS), Global Positioning System (GPS), and Galileo Satellite Navigation System (Galileo). A long-baseline RTK approach that incorporates Kalman filtering and partial ambiguity resolution is applied. Initially, error models are used to correct ionospheric and tropospheric delays. The zenith tropospheric and inclined ionospheric delays and additional atmospheric error components are then regarded as unknown parameters. These parameters are estimated together with the position and ambiguity parameters via Kalman filtering. A two-step method based on a success rate threshold is employed to resolve partial ambiguity. Data from five long-baseline IGS monitoring stations and real-time measurements from a ship were employed for the dual-frequency RTK positioning experiments. The findings indicate that integrating additional GNSSs beyond the BDS considerably enhances both the navigation precision and the rate of ambiguity resolution. At the IGS stations, the integration of the BDS, GPS, and Galileo achieved navigation precisions of 2.0 cm in the North, 5.1 cm in the East, and 5.3 cm in the Up direction while maintaining a fixed resolution exceeding 94.34%. With a fixed resolution of Up to 99.93%, the integration of BDS and GPS provides horizontal and vertical precision within centimeters in maritime contexts. Therefore, the proposed approach achieves precise positioning capabilities for the rover while significantly increasing the rate of successful ambiguity resolution in long-range scenarios, thereby enhancing its practical use and exhibiting substantial application potential.
通讯机构：
[Xia, JF ] H;Huazhong Agr Univ, Coll Engn, Wuhan, Hubei, Peoples R China.;Minist Agr & Rural Affairs, Key Lab Agr Equipment Midlower Yangtze River, Wuhan, Hubei, Peoples R China.
关键词：
Agricultural mobile robot;Control sequence;Field segmentation;Operation path generation;Point tracking.
摘要：
<p><b>Highlights</b></p><p><list list-type=bullet><list-item><p>Field segmentation, path generation, and sequential point tracking algorithms were designed for agricultural mobile robots.</p></list-item><list-item><p>An optimized field segmentation plan and operation path could be generated for the robot.</p></list-item><list-item><p>The sequential point tracking algorithm could guide the robot to a series of target points.</p></list-item><list-item><p>The algorithms were tested in simulation calculations and practical experiments.</p></list-item></list></p><p><b>Abstract.</b> As agricultural production becomes increasingly intelligent, operations by autonomous mobile robots become an inevitable trend. For some operations, such as in-field soil sampling, agricultural robots need to track a series of target points in the field. In this work, a field segmentation algorithm, a path generation algorithm, and a sequential point tracking algorithm were designed and evaluated. The field segmentation and operation path generation algorithms, which took, respectively, the total lost area of the field and the total turning angle of the robot as optimization objectives, aimed to provide an efficient operation plan for the robot to follow. The sequential point tracking algorithm was designed for the robot to realize automatic tracking of the planned target points following a desired sequence. The algorithms were tested by simulation calculations using the boundary coordinates of two test fields and field experiments based on a small four-wheeled mobile robot. Field results of the straight-path, multi-target point tracking experiment showed that the designed steering angle and velocity control laws could accurately guide the robot from a start point to a series of target points when the robot was running on a concrete surface. The absolute distance errors of the robot with respect to the targets were smaller than 0.03 m. To test the robot‘s tracking performance on different surface conditions, two whole-field, continuous point tracking experiments were performed. The general effectiveness of the sequential point tracking algorithm was validated. When the robot was running on hard surface conditions (concrete and grass), the tracking errors were between 0.014 m and 0.074 m. When the robot was running on a soft and bumpy soil surface, the tracking accuracy degraded to submeter level due to the limitation of small-size wheels. The average, RMS, and maximum errors were 0.774 m, 0.775 m, and 0.798 m, respectively. However, the feasibility of the sequential control algorithm was not influenced. The designed algorithms could be potentially utilized in the development of robotic systems for in-field site-specific operations.</p>
摘要：
建筑物轮廓线是各类应用的数据源，但散乱、不规则激光点云数据给轮廓线提取带来了难度。针对上述问题，提出一种基于多层级最小外包矩形规则建筑物轮廓线提取方法，首先使用迭代区域增长算法对轮廓点进行分组，根据点数最多的一组确定初始最小外包矩形。再对初始最小外包矩形进行多层级分解，使轮廓点与不同层级最小外包矩形重合，最后根据不同层级最小外包矩形生成轮廓线。使用Vaihingen城区中规则建筑物进行实验，实验结果表明：与最小面积方法与最大重叠度方法相比，所提方法能准确确定初始最小外包矩形，且提取效率得到略微提高。提取的轮廓线角点均方根误差为0.71 m，优于其他4种方法。所提方法可快速提取规则建筑物轮廓线，有利于后续三维重建。 您的浏览器不支持 audio 元素。AI语音播报 Building outlines serve as data sources for various applications. However, accurately extracting outlines from scattered and irregular point clouds presents a challenge. To address this issue, a method utilizing the concept of the multi-level minimum bounding rectangle (MBR) is proposed for extracting precise outlines of regular buildings. Initially, the boundary points are segmented into groups using an iterative region growing technique. Subsequently, the group with the maximum boundary points is utilized to identify the initial MBR. The initial MBR is then decomposed into multi-level rectangles, ensuring that the boundary points align with rectangles of different levels. Ultimately, the outlines are generated using the multi-level MBR approach. To evaluate the effectiveness of the proposed method, experiments were conducted on regular buildings in Vaihingen. The results demonstrate that the proposed method achieves an accurate initial MBR with a slightly enhanced efficiency compared to the minimum area and the maximum overlapping methods. The root mean square errors of the extracted outline corners measure 0.71 m, surpassing the performance of four other comparison methods. In conclusion, the proposed method enables the effective extraction of outlines from regular buildings, providing a valuable contribution to subsequent three-dimensional reconstruction tasks.
摘要：
UAV swarm passive positioning technology only requires the reception of electromagnetic signals to achieve the positioning and tracking of radiation sources. It avoids the active positioning strategy that requires active emission of signals and has the advantages of good concealment, long acting distance, and strong anti-interference ability, which has received more and more attention. In this paper, we propose a new UAV swarm formation flight method based on pure azimuth passive positioning. Specifically, we propose a two-circle positioning model, which describes the positional deviation of the receiving UAV using trigonometric functions relative to the target in polar coordinates. Furthermore, we design a two-step adjustment strategy that enables the receiving UAV to reach the target position efficiently. Based on the above design, we constructed an optimized UAV swarm formation scheme. In experiments with UAV numbers of 8 and 20, compared to the representative comparison strategy, the proposed UAV formation scheme reduces the total length of the UAV formation by 34.76% and 55.34%, respectively. It demonstrates the effectiveness of the proposed method in the application of assigning target positions to UAV swarms.
摘要：
CsPbX3-based (X = I, Br, Cl) inorganic perovskite solar cells (PSCs) prepared by low-temperature process have attracted much attention because of their low cost and excellent thermal stability. However, the high trap state density and serious charge recombination between low-temperature processed TiO2 film and inorganic perovskite layer interface seriously restrict the performance of all-inorganic PSCs. Here a thin polyethylene oxide (PEO) layer is employed to modify TiO2 film to passivate traps and promote carrier collection. The impacts of PEO layer on microstructure and photoelectric characteristics of TiO2 film and related devices are systematically studied. Characterization results suggest that PEO modification can reduce the surface roughness of TiO2 film, decrease its average surface potential, and passivate trap states. At optimal conditions, the champion efficiency of CsPbI2Br PSCs with PEO-modified TiO2 (PEO-PSCs) has been improved to 11.24% from 9.03% of reference PSCs. Moreover, the hysteresis behavior and charge recombination have been suppressed in PEO-PSCs.
摘要：
The applications of the Unmanned Surface Vehicle (USV) are widely distributed in various fields. This paper proposes a new path planning method that combines A* algorithm with an adaptive Dynamic Window Algorithm (DWA), which can simultaneously achieve static and dynamic obstacle avoidance. For ADWA, the adaptive factor is introduced in adjust the prediction time of DWA, and the time evaluation factor is introduced in the DWA evaluation function to evaluate the prediction time. The global path planning of the USV is realised by A* algorithm and smooth processed by spline interpolation method based on B-spline, then the local path planning of the USV is realised by the adaptive DWA. Furthermore, the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS) is integrated and a hybrid path planning strategy is emerged to guarantee the collision avoidance safety in multi-ships encounter. Simulation experiments show that the proposed hybrid path planning strategy can realise flexible obstacle avoidance by adjusting the prediction time, and the USV can follow COLREGS for safe avoidance when encountering other vehicles.
摘要：
Wireless sensor networks (WSNs) have the trouble of limited battery power, and wireless charging provides a promising solution to this problem, which is not easily affected by the external environment. In this paper, we study the recharging of sensors in wireless rechargeable sensor networks (WRSNs) by scheduling two mobile chargers (MCs) to collaboratively charge sensors. We first formulate a novel sensor charging scheduling problem with the objective of maximizing the number of surviving sensors, and further propose a collaborative charging scheduling algorithm (CCSA) for WRSNs. In the scheme, the sensors are divided into important sensors and ordinary sensors. Two MCs can adaptively collaboratively charge the sensors based on the energy limit of MCs and the energy demand of sensors. Finally, we conducted comparative simulations. The simulation results show that the proposed algorithm can effectively reduce the death rate of the sensor. The proposed algorithm provides a solution to the uncertainty of node charging tasks and the collaborative challenges posed by multiple MCs in practical scenarios.
摘要：
Cloud-induced atmospheric extinction and occlusion significantly affect the effectiveness and quality of telescope observations. Real-time cloud-cover distribution and long-term statistical data are essential for astronomical siting and telescope operations. Visual inspection is currently the primary approach for analyzing cloud distribution at ground-based astronomical sites. However, the main disadvantages of manual observation methods are human subjectivity, heavy workloads, and poor real-time performance. Therefore, a real-time automatic cloud image classification method is desperately needed. This paper presents a novel cloud identification method named the PSO+XGBoost model, which combines eXtreme Gradient Boosting (XGBoost) with particle-swarm optimization (PSO). The entire cloud image is divided into 37 sub-regions to identify the distribution of the clouds more precisely. Nineteen features, including the sky background, star density, lighting conditions, and subregion grayscale values, are extracted. The experimental results have shown that the overall classification accuracy is 96.91%, and our model can outperform several state-of-the-art baseline methods. Our approach achieves high accuracy in comparison with the manual observation methods. Moreover, this method meets telescope real-time scheduling requirements.
摘要：
The task of food image recognition, a nuanced subset of fine-grained image recognition, grapples with substantial intra-class variation and minimal inter-class differences. These challenges are compounded by the irregular and multi-scale nature of food images. Addressing these complexities, our study introduces an advanced model that leverages multiple attention mechanisms and multi-stage local fusion, grounded in the ConvNeXt architecture. Our model employs hybrid attention (HA) mechanisms to pinpoint critical discriminative regions within images, substantially mitigating the influence of background noise. Furthermore, it introduces a multi-stage local fusion (MSLF) module, fostering long-distance dependencies between feature maps at varying stages. This approach facilitates the assimilation of complementary features across scales, significantly bolstering the model's capacity for feature extraction. Furthermore, we constructed a dataset named Roushi60, which consists of 60 different categories of common meat dishes. Empirical evaluation of the ETH Food-101, ChineseFoodNet, and Roushi60 datasets reveals that our model achieves recognition accuracies of 91.12%, 82.86%, and 92.50%, respectively. These figures not only mark an improvement of 1.04%, 3.42%, and 1.36% over the foundational ConvNeXt network but also surpass the performance of most contemporary food image recognition methods. Such advancements underscore the efficacy of our proposed model in navigating the intricate landscape of food image recognition, setting a new benchmark for the field.
