Unmanned Ship Identification Based on Improved YOLOv8s Algorithm

Aiming at defects such as low contrast in infrared ship images,uneven distribution of ship size,and lack of texture details,which will lead to unmanned ship leakage misdetection and slow detection,this paper proposes an infrared ship detection model based on the improved YOLOv8 algorithm(R_YOLO).The algorithm incorporates the Efficient Multi-Scale Attention mechanism(EMA),the efficient Reparameterized Generalized-feature extraction module(CSPStage),the small target detection header,the Repulsion Loss function,and the context aggregation block(CABlock),which are designed to improve the model’s ability to detect targets at multiple scales and the speed of model inference.The algorithm is validated in detail on two vessel datasets.The comprehensive experimental results demonstrate that,in the infrared dataset,the YOLOv8s algorithm exhibits improvements in various performance metrics.Specifically,compared to the baseline algorithm,there is a 3.1%increase in mean average precision at a threshold of 0.5(mAP(0.5)),a 5.4%increase in recall rate,and a 2.2%increase in mAP(0.5:0.95).Simultaneously,while less than 5 times parameters,the mAP(0.5)and frames per second(FPS)exhibit an increase of 1.7%and more than 3 times,respectively,compared to the CAA_YOLO algorithm.Finally,the evaluation indexes on the visible light data set have shown an average improvement of 4.5%.

Health risk assessment of trace metal(loid)s in agricultural soils based on Monte Carlo simulation coupled with positive matrix factorization model in Chongqing, southwest China

This study aimed to investigate the pollution characteristics, source apportionment, and health risks associated with trace metal(loid)s(TMs) in the major agricultural producing areas in Chongqing, China. We analyzed the source apportionment and assessed the health risk of TMs in agricultural soils by using positive matrix factorization(PMF) model and health risk assessment(HRA) model based on Monte Carlo simulation. Meanwhile, we combined PMF and HRA models to explore the health risks of TMs in agricultural soils by different pollution sources to determine the priority control factors. Results showed that the average contents of cadmium(Cd), arsenic (As), lead(Pb), chromium(Cr), copper(Cu), nickel(Ni), and zinc(Zn) in the soil were found to be 0.26, 5.93, 27.14, 61.32, 23.81, 32.45, and 78.65 mg/kg, respectively. Spatial analysis and source apportionment analysis revealed that urban and industrial sources, agricultural sources, and natural sources accounted for 33.0%, 27.7%, and 39.3% of TM accumulation in the soil, respectively. In the HRA model based on Monte Carlo simulation, noncarcinogenic risks were deemed negligible(hazard index <1), the carcinogenic risks were at acceptable level(10^(-6)<total carcinogenic risk ≤ 10^(-4)), with higher risks observed for children compared to adults. The relationship between TMs, their sources, and health risks indicated that urban and industrial sources were primarily associated with As, contributing to 75.1% of carcinogenic risks and 55.7% of non-carcinogenic risks, making them the primary control factors. Meanwhile, agricultural sources were primarily linked to Cd and Pb, contributing to 13.1% of carcinogenic risks and 21.8% of non-carcinogenic risks, designating them as secondary control factors.

Existence of Monotone Positive Solution for a Fourth-Order Three-Point BVP with Sign-Changing Green’s Function

This paper is concerned with the following fourth-order three-point boundary value problem , where , we discuss the existence of positive solutions to the above problem by applying to the fixed point theory in cones and iterative technique.

Ship Resistance of Quadramaran With Various Hull Position Configurations

Multihull ships are widely used for sea transportation, and those with four hulls are known as quadramarans. Hull position configurations of a quadramaran include the diamond, tetra, and slice. In general, multihull vessels traveling at high speeds have better hydrodynamic efficiency than monohull ships. This study aims to identify possible effects of various quadramaran hull position configurations on ship resistance for hull dimensions of 2 m length, 0.21 m breadth, and 0.045 m thickness. We conducted a towing test in which we varied the hull spacing and speed at Fr values between 0.08 and 0.62 and measured the total resistance using a load cell transducer. The experimental results reveal that the lowest total resistance was achieved with a diamond quadramaran configuration at Fr = 0.1-0.6 and an effective interference factor of up to 0.35 with S/L = 3/10 and R/L = 1/2 at Fr = 0.62.

Robust Position Observer for Sensorless Direct Voltage Control of Stand-Alone Ship Shaft Brushless Doubly-Fed Induction Generators

The aim of this paper is to investigate an adaptive sensorless direct voltage control(DVC)strategy for the stand-alone ship shaft brushless doubly-fed induction generators(BDFIGs).The proposed new rotor position observer using the space vector flux relations of BDFIG may achieve the desired voltage control of the power winding(PW)in terms of magnitude and frequency,without any speed/position sensors.The proposed algorithm does not require any additional observers for obtaining the generator speed.The proposed technique can directly achieve the desired DVC based on the estimated rotor position,which may reduce the overall system cost.The stability analysis of the proposed observer is investigated and confirmed with the concept of quadratic Lyapunov function and using the multi-model representation.In addition,the sensitivity analysis of the presented method is confirmed under different issues of parameter uncertainties.Comprehensive results from both simulation and experiments are realized with a prototype wound-rotor BDFIG,which demonstrate the capability and efficacy of the proposed sensorless DVC strategy with good transient behavior under different operating conditions.Furthermore,the analysis confirms the robustness of the proposed observer via the machine parameter changes.

Position and Roles of Shipping Culture in the Construction of Shanghai Free Trade Zone

The roles of shipping culture were introduced firstly,and then the development situation of Shanghai Free Trade Zone was analyzed. Finally,the ration between shipping culture and the construction of Shanghai Free Trade Zone was discussed to provide reference for the development of Shanghai Free Trade Zone.

On the Study of the Translator's Position in Traditional Translation Theories

In traditional translation theories, the author and the translator, the original text and the translated text are in the binary oppositions. Both author-centeredness and text-centeredness are in authoritative positions. Moreover, there are some incorrect viewpoints about the translator's position in the traditional translation theories. In this case, this paper will analyze the translator's position in the traditional translation theories comprehensively.

Ship Detection and Recognition Based on Improved YOLOv7

In this paper,an advanced YOLOv7 model is proposed to tackle the challenges associated with ship detection and recognition tasks,such as the irregular shapes and varying sizes of ships.The improved model replaces the fixed anchor boxes utilized in conventional YOLOv7 models with a set of more suitable anchor boxes specifically designed based on the size distribution of ships in the dataset.This paper also introduces a novel multi-scale feature fusion module,which comprises Path Aggregation Network(PAN)modules,enabling the efficient capture of ship features across different scales.Furthermore,data preprocessing is enhanced through the application of data augmentation techniques,including random rotation,scaling,and cropping,which serve to bolster data diversity and robustness.The distribution of positive and negative samples in the dataset is balanced using random sampling,ensuring a more accurate representation of real-world scenarios.Comprehensive experimental results demonstrate that the proposed method significantly outperforms existing state-of-the-art approaches in terms of both detection accuracy and robustness,highlighting the potential of the improved YOLOv7 model for practical applications in the maritime domain.

Alignment of beam position monitors in cryomodule of CADS injector Ⅱ

Significant temperature difference(300-77 K or even 4 K) can cause large deformations and displacements of the beam position monitors(BPMs),which affect BPMs measurement resolution or even cause their malfunction in cryogenic situations.In this paper,to check the offset from the mechanical to electrical center in low temperature(77 K),Fourier's law and finite element method are used to simulate cryo-deformation.Laser tracker and micro-alignment telescope are employed in combined BPM calibration,installation and monitoring.The calibration error is<0.02 mm,and the installation and monitoring precision are 0.06 mm and 0.01 mm,respectively.The monitored cryo-deformation agrees well with the simulation results.These indicate that the combined alignment can improve performance of the BPM system.All these guaranteed the success of running the 9.55 MeV@2.14 mA cw protons.

THERMAL DECOMPOSITION BEHAVIOR OF AMMONIUM THIO TUNGSTATE in H_2

The ther m al deco m position mechanism of a m m oniu m thiotungstate of the size of 63 ～75 μmin H2 has been investigated by D T A and X R D methods . The ther m al deco m position activationenergies and the orders of a m m oniu m thiotu ngstate were calculated by means of Kissinger , Freem an Carroll and Coast Redfern m ethods . It w as also obtained that therm al deco m posi tion is cond ucted according to four reaction equations :( N H4) 2 W S4· H2 O(s) ( N H4) 2 W S4(s) + H2 O(g) W S2(s) + 2 N H3(g) + H2(g) + 2 S(s) + H2 O(g) W S2(s) + 2 N H3(g) + 2 H2 S(g) + H2 O(g) W S2(s) + W(s) + 2 N H3(g) + 2 H2 S(g) + H2 O(g) .

面向舰船目标检测的SAR图像数据PCGAN生成方法

针对现有合成孔径雷达(SAR)图像数据生成方法大多无法同时生成舰船图像及其检测标签的问题,面向SAR舰船图像生成及目标检测任务,构建基于位置信息的条件生成对抗网络(PCGAN).首先,提出将舰船位置信息作为约束条件用于限制生成图像中舰船的位置,并将其作为舰船图像的检测标签;随后,引入Wasserstein距离稳定PCGAN的训练过程;最后,利用生成的SAR舰船图像及对应检测标签完成YOLOv3网络的端到端训练,实现舰船数据增强与目标检测的协同学习,进而获得更耦合目标检测实际应用的多样性数据.在HRSID(high resolution SAR image dataset)数据集上的实验结果表明,PCGAN方法能生成清晰、鲁棒的SAR舰船数据,舰船检测准确度最高提升1.01%,验证了所提出方法的有效性.

2024年1月23日乌什M_(S)7.1地震序列重定位研究

为深入研究乌什M_(S)7.1地震,采用双差地震定位法对地震序列进行重定位,定位结果显示:①重定位后主震空间位置变化不大,和重定位前的位置相距2 km,深度为25.6 km,比重定位前深度更深。②重定位后,地震序列沿迈丹断裂分布的收敛特征更加明显,同时存在余震向南移动的趋势,与地震烈度图和灾情分布特征一致。③迈丹断裂在受到山前挤压作用时,在主震震中附近受阻,形成明显的地震稀疏带。迈丹断裂乌什段发震构造比阿合奇段发震构造深,活动性比较弱,因此在主震震中SW向余震多而浅,NE向余震少而深。

试论积极反叙实句式“要是S就好了”

句式“要是S就好了”属于积极反叙实用法,在句法、语义、语用层面有其独特之处:句法上,“要是”为假设连词,口语化语体色彩较高。S为反叙实小句,主要由主谓小句和VP小句构成,适合表达简洁内容,具有口语化特点。“就好了”为语气词,根据情况不同分为纯粹虚拟语气词和最低条件语气词两种类型;语义上,“要是S就好了”是纯粹的积极反叙实句式,隐含对过去的遗憾、对现实的期待、对未来的盼望三种不同的语义价值;语用上,积极反叙实句式“要是S就好了”具有有利性,合乎社会规范,其语用价值在于表达虚拟愿望、复盘重构与反思、催生积极转变与进步。

基于改进T-S模糊模型的弧焊机器人轨迹实时跟踪

针对弧焊机器人在实际作业中受到诸多不确定因素的影响,导致弧焊机器人焊接轨迹偏离预期轨迹的问题,提出一种基于改进T-S(Takagi-Sugeno)模糊模型的弧焊机器人轨迹实时跟踪方法。采用图像识别技术识别并定位焊缝,通过坐标转换,确定焊缝中心线在机器人坐标系中的位置坐标。利用蚁群算法根据焊缝中心线在机器人坐标系中的坐标,搜索从起始位置到目标位置的最优焊接路径。设计了一种改进区间二型T-S模糊模型,通过视觉传感器实时获取新的焊缝信息,计算轨迹误差,以此为输入,利用改进T-S模糊模型对机器人的运动轨迹进行实时调整。实验结果表明,采用改进T-S模糊模型后,机器人轨迹跟踪离散度均降至1 mm以下,弧焊机器人轨迹与预期轨迹高度重合,比传统方法跟踪离散度大大降低。

考虑船舶动态位置的海底WSN节点能耗控制算法

由于海底环境并不具备连续稳定的电力供应,使得传感器节点通常依赖于有限的内部能量,而船舶在海底的动态位置会令节点密度布局变得更加复杂,从而导致WSN节点能量消耗不均衡。为此,提出考虑船舶动态位置的海底WSN节点能耗控制算法。建立海底WSN结构模型,利用多项式卡尔曼滤波器预测船舶轨迹;划分海底WSN簇结构,动态调整各簇的节点数量,控制海底WSN节点密度,建立船舶位置动态变化能耗模型,估算各簇节点在不同时间段的能耗需求,使其均衡消耗WSN节点能量,从而实现节点能耗控制。实验结果表明,本文算法应用后,有效平衡了节点能耗,保持连通性和覆盖性,提高海底WSN整体性能,稳定运行时间更长且失效节点增长较稳定。

Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments via Chou’s 5 Step Rule

Glycation is a non-enzymatic post-translational modification which assigns sugar molecule and residues to a peptide.It is a clinically important attribute to numerous age-related,metabolic,and chronic diseases such as diabetes,Alzheimer’s,renal failure,etc.Identification of a non-enzymatic reaction are quite challenging in research.Manual identification in labs is a very costly and timeconsuming process.In this research,we developed an accurate,valid,and a robust model named as Gly-LysPred to differentiate the glycated sites from non-glycated sites.Comprehensive techniques using position relative features are used for feature extraction.An algorithm named as a random forest with some preprocessing techniques and feature engineering techniques was developed to train a computational model.Various types of testing techniques such as self-consistency testing,jackknife testing,and cross-validation testing are used to evaluate the model.The overall model’s accuracy was accomplished through self-consistency,jackknife,and cross-validation testing 100%,99.92%,and 99.88%with MCC 1.00,0.99,and 0.997 respectively.In this regard,a user-friendly webserver is also urbanized to accumulate the whole procedure.These features vectorization methods suggest that they can play a critical role in other web servers which are developed to classify lysine glycation.

基于零模行波S变换时频矩阵的配电网单相接地故障定位方法

为提高配电网发生单相接地故障时的定位精度,提出一种基于电压零模行波S变换时频矩阵的选线和定位方法。首先,将各条馈线末端行波检测装置测得的行波信号解耦,得到故障电压零模行波;然后,在主馈线、一级和二级分支支路等特殊位置设置故障,得到对应故障位置的S变换时频矩阵,建立确定故障支路的对比库;最后,将故障零模电压行波S变换时频矩阵与对比库中数据进行相似度对比,确定单相接地故障发生的馈线和所在支路,针对不同性质支路选取适应性最优的定位方法,实现配电网单相接地故障的精确定位。仿真结果表明:该方法的定位准确度高,且无须全网配备行波检测装置便能够实现配电网单相接地故障的精确定位。

ZTE Base Station Market Shares Climb to World's Top 4 Position

ZTE Corporation, a leading global provider of telecommunications equipment and network solutions revealed on April 12, 2010 that Infonetics, a leading market research firm, has recently released a 2G/3G Mobile Infrastructure and Subscribers Report on the global wireless communication equipment market in 2009. According to the report, major changes have occurred in the shares of the global wireless communication market.

Recent iSuppli WiMAX Report Validates ZTE's Leading Position in the Industry

ZTE Corporation announced on November 21, 2007, that it has recently been validated by a renowned market

基于改进YOLOv5s的绝缘子定位检测及红外故障识别

在绝缘子定位检测和热故障识别中,由于绝缘子红外图像的背景干扰严重,导致平均识别准确率低,为了实现精确定位、检测绝缘子位置和提高识别其热故障的可靠性和准确性,提出了一种基于改进YOLOv5s的绝缘子定位检测和红外故障识别方法。首先,将全局上下文注意力机制与YOLOv5s Backbone部分的C3结构进行融合,提出一种新的结构——C3GC,增强了模型提取特征的能力,并且减少了其计算量。其次,将损失函数替换为VariFocal Loss,提升了模型的召回率,解决了模型漏检的问题。最后,通过引入转置卷积,动态地学习需要补充的参数,减少了模型在上采样过程中特征的丢失,提升了检测效果。实验与测试结果表明,改进后的方法与原YOLOv5s相比,定位精度提升了1.3个百分点,针对故障点的检测精度提升了4个百分点,平均精度提升了2.8个百分点,并且其精确率和召回率均有提升。