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关键词： High power lasers   Image analysis   Imaging systems   Laser damage   Optical elements   Polarimetric imaging  

摘要： This study introduces an advanced approach for assessing the damage state of chargecoupled devices (CCDs) caused by laser interactions, leveraging a multi -source and multi -feature information fusion technique. We established an experimental system that simulates laser damage on CCDs and collects diverse data types including echo information from active laser detection based on the 'cat's eye' effect, plasma flash data, and surface image characteristics of the CCD. A probabilistic neural network (PNN) was utilized to integrate these data sources effectively. Our analysis demonstrated that using multiple features from single sources significantly improves the accuracy of the damage assessment compared to single -feature evaluations. The error rates using dual features from each information type were 10.65% for cat's eye echo, 7.3% for plasma flash, and 7.17% for surface image analysis. By combining all three information sources and six features, we successfully reduced the error rate to 0.85%, with the evaluation time under 60 milliseconds. These findings confirm that our multi -source, multi -feature fusion method is highly effective for the online and real-time evaluation of CCD damage, offering significant improvements in the operational reliability and safety of devices in high-energy environments.

关键词： Daridorexant   Central composite design   Critical method parameters   Critical analytical attributes  

摘要： In this study, we developed a robust Quality by Design guided reverse phase high-performance liquid chromatographic method for quantifying daridorexant with simplicity, speed, sensitivity, reproducibility, and cost-effectiveness. Utilizing a Waters e2690 alliance HPLC system with Empower 2 (R) software control and a SpursilTM C18 HPLC column, critical method parameters such as flow rate, % aqueous buffer and buffer pH were identified through preliminary trials and risk assessment studies. Optimization via central composite design as part of a Design of Experiments framework, with retention time and tailing factor as critical analytical attributes, resulted in optimized chromatographic conditions: 30:70 (% v/v) phosphate buffer (pH 3) and acetonitrile as mobile phase, flowing at 1.0 mL/min, with detection at 270 nm. The method exhibited linearity within a range of 2.0-10.0 mu g/ mL (correlation coefficient: 0.9997) and detection, quantitation limits of 0.089 mu g/mL and 0.271 mu g/mL, respectively. Validation according to ICH Q2 (R1) guidelines confirmed the method's robustness, precision, accuracy, sensitivity, and high linearity for daridorexant estimation in both bulk drug and marketed formulations.

关键词： 场景文本识别   动态卷积   注意力模块   外部注意力机制   编码器  

摘要： 针对场景文本识别在长距离建模时容易产生信息丢失和对低分辨率文本图像表征能力较弱的问题,提出了一种基于多模态迭代及修正的文本识别算法。本文算法的视觉模型(vision model)是由CoTNet(contextual transformer networks for visual recognition)、动态卷积注意力模块(dynamic convolution attention module,DCAM)、EA-Encoder(external attention encoder)和位置注意力机制组合而成的。其中CoTNet可以有效起到缓解长距离建模产生的信息丢失问题;DCAM在增强表征能力、专注于重要特征的同时,将重要的特征传给EA-Encoder,进而提高CoTNet和EA-Encoder之间的联系;EA-Encoder可以学习整个数据集上最优区分度的特征,捕获最有语义信息的部分,进而增强表征能力。经过视觉模型后,再经过文本修正模块(text correction model)和融合模块(fusion model)得到最终的识别结果。实验数据显示,本文所提出的算法在多个公共场景文本数据集上表现良好,尤其是在不规则数据集ICDAR2015上准确率高达85.9%。

关键词： 车辆与机电工程   深度卷积自编码器   性能衰退指标   多尺度残差收缩网络   寿命状态识别  

摘要： 针对滚动轴承早期故障识别困难、退化性能难以准确评估的问题,提出了基于深度卷积自编码器(DCAE)和多尺度残差收缩网络(MSRSN)的滚动轴承寿命状态识别方法。首先,为获得清晰的故障特征频率及倍频,将原始数据样本转换为包络谱输入深度卷积自编码器中,实现轴承寿命状态特征的自动提取与表达,并基于多维尺度分析(MDS)算法约简寿命状态特征获得低维特征,然后计算低维特征空间内样本间的欧几里得距离(ED),即为轴承性能衰退评估指标;其次,为全面提取轴承性能衰退特征,提出了改进的多尺度残差收缩网络识别模型,并开发了ReLU与DropBlock正则化相结合的新激活策略增强模型的抗噪性;最后,将所提方法及对比方法应用于轴承全寿命实验数据。实验结果表明:笔者提出的性能衰退评估指标能够精准地识别轴承性能退化起始点以及刻画轴承的退化趋势,所提出的改进的多尺度残差收缩网络识别模型在S SNR=-4~6 dB环境中平均识别正确率为91.75%,能够准确识别轴承寿命状态,验证了方法的实用性以及有效性。

关键词： 计算机网络   高维数据   离群点检测   局部信息熵   Wireshark工具   微聚类划分  

摘要： 通过离群点检测可以及时发现计算机网络中的异常,从而为风险预警和控制提供重要线索。为此,设计一种基于局部信息熵的计算机网络高维数据离群点检测系统。在高维数据采集模块中,利用Wireshark工具采集计算机网络原始高维数据包;并在高维数据存储模块中建立MySQL数据库、Zooleeper数据库与Redis数据库,用于存储采集的高维数据包。在高维数据离群点检测模块中,通过微聚类划分算法划分存储的高维数据包,得到数个微聚类;然后计算各微聚类的局部信息熵,确定各微聚类内是否存在离群点;再依据偏离度挖掘微聚类内的离群点;最后,利用高维数据可视化模块呈现离群点检测结果。实验证明:所设计系统不仅可以有效采集计算机网络高维数据并划分计算机网络高维数据,还能够有效检测高维数据离群点,且离群点检测效率较快。

关键词： Post-Commercial Waste Plastic   Post-Domestic Waste Plastic   Post-Hospital Waste Plastic   Pyrolysis   Waste Plastic Oil  

摘要： - In this study, waste plastic oil was extracted and optimized from Post-Hospital Waste Plastic (PHWP) through a catalytic pyrolysis process. The Central Composite Design (CCD) of Response Surface Methodology (RSM) through the Design-Expert software was used in this work to optimize the response by varying the input variables pyrolysis process. In this model, the reaction temperature from 300 to 500°C and retention time from 60 to 120 minutes are considered variable factors, and the yield of waste plastic oil is considered an independent response. The ANOVA of the CCD indicated that all the process-independent variables investigated had significant impacts on the sorption capacity of waste plastic oil obtained from PHWP. This work was split into two phases. In phase I, the retention time and reaction temperature were considered as factors, and waste plastic oil as a response. The obtained experimental data showed that the optimized 90-minute retention time and reaction temperature of 450°C resulted in an optimum yield of waste plastic oil. For the second phase of this work, the optimum retention time (90 min) is set as constant and reaction temperature with catalysts quantity as factors. Three catalysts (Zeolite, Alumina and Silica) with different ratios given by the model are used to increase the yield of waste plastic oil. From the CCD analysis, it is found that the catalysts effectively increase the yield of waste plastic oil. © 2024 Seventh Sense Research Group®

关键词： 污水监测   智能化诊断   GAPSO算法   编码器   监控报警  

摘要： 针对污水监测故障智能化诊断滞后的问题,提出一种人工智能化方案,通过改进型GAPSO算法对污水监测故障进行诊断和分析,结合遗传算法的核心思想,在GAPSO算法中设置不同类型的编码器,以提高GAPSO算法的计算能力和应用能力。建立多功能智能污水监控报警系统,由DSP技术、ARM处理器技术和FPGA搭建系统框架。系统的核心处理模块为集中控制器的STM32F103RCT6单片机,危险污水检测模块使用MQ-2传感器,报警模块组合使用LED灯,大大提高了污水现场监控能力。实验结果表明,所提研究方法评估采集精度高达99.68%,报警时间快,评估能力强,收敛速度快。

关键词： 信息整合   集成导航   结合卡尔曼滤波  

摘要： 针对组合导航系统在数据处理过程中面临的大量计算和故障数据互相污染的问题,文中提出了一种利用信息整合的导航参数最佳评估滤波技术。通过INS,GPS的结合案例,深入解析了组合导航系统的运行机制,包括其基础理论、关键技术及实际操作手段。经过深入的模型构建与分析,最终利用计算机仿真验证了该方法对增强导航系统效率的有效性。该方法具备较高的准确性和速度,具备优秀的纠错能力和环境适应能力,具有实际的应用价值。