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Atmospheric coherence length instrument remote control network software system design 大气相干长度仪器远程控制网络软件系统设计
Pub Date : 2024-06-06 DOI: 10.1117/12.3032075
Lijun Chen, Feng He, Zhigang Huang, Zaihong Hou
The atmospheric coherence length instrument, as one of the effective means for assessing atmospheric turbulence, plays a crucial role in the fields of optics and astronomical observations. Existing atmospheric coherence length measurement systems require on-site measurements, posing various inconveniences. In response to this issue, a method for network remote control of the atmospheric coherence length instrument is proposed, accompanied by the development of a corresponding remote control network software system. The introduced system incorporates a remote-control method for the atmospheric coherence length instrument based on the 4G network. The device connects to the Internet via a 4G network, facilitating bidirectional communication between the mobile platform and the atmospheric coherence length instrument through a network server. This paper initially elucidates the communication principles and implementation methods of the remote-control system, followed by the design and development of software system modules for both the device and the Android control side. Rigorous testing demonstrates the method's enhanced instrument versatility and adaptability, enabling data measurements even in extreme and challenging environments. Leveraging IoT technology, the system efficiently allows users to remotely control the atmospheric coherence length instrument, significantly reducing manual management costs.
大气相干长度仪作为评估大气湍流的有效手段之一,在光学和天文观测领域发挥着至关重要的作用。现有的大气相干长度测量系统需要现场测量,带来种种不便。针对这一问题,提出了一种网络远程控制大气相干长度仪器的方法,并开发了相应的远程控制网络软件系统。所介绍的系统包含一种基于 4G 网络的大气相干长度仪远程控制方法。该设备通过 4G 网络连接到互联网,通过网络服务器促进移动平台与大气相干长度仪之间的双向通信。本文首先阐明了遥控系统的通信原理和实现方法,然后设计并开发了设备和安卓控制端的软件系统模块。严格的测试表明,该方法增强了仪器的多功能性和适应性,即使在极端恶劣的环境中也能进行数据测量。利用物联网技术,该系统可让用户高效地远程控制大气相干长度仪,大大降低了人工管理成本。
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引用次数: 0
Design and implementation of electronic medical record information management system of community health service center 社区卫生服务中心电子病历信息管理系统的设计与实施
Pub Date : 2024-06-06 DOI: 10.1117/12.3031936
Xiang Gao, Ryan A. Ebardo, Mengvi P. Gatpandan, Maryli F. Rosas, Paulino H. Gatpandan
With the implementation of graded diagnosis and treatment medical reform, the outpatient service volume of community health service centers has increased significantly, which has brought opportunities and challenges to community health service centers. Outpatient service is the first key link for health institutions to receive patients and the first portal for patients to get to know health institutions. The quality of patients' medical service in outpatient service is directly related to the first impression of community health service centers in patients' minds. In order to better serve patients, improve the medical environment, improve patients' trust in primary care, enhance the internal strength and competitiveness of hospitals, optimize the medical treatment process, change the management mode, and carry out standardized management is a step that community health service centers must take now. Therefore, developing an electronic medical record management information system suitable for the needs of community health service centers can serve medical staff and patients, and reduce the workload of relevant personnel to provide more quality services for patients.
随着分级诊疗医改的实施,社区卫生服务中心的门诊量大幅增加,这给社区卫生服务中心带来了机遇和挑战。门诊是医疗卫生机构接待患者的第一个关键环节,也是患者了解医疗卫生机构的第一门户。门诊医疗服务质量的好坏,直接关系到社区卫生服务中心在患者心目中的第一印象。为了更好地服务患者,改善医疗环境,提高患者对基层医疗机构的信任度,增强医院的内生力和竞争力,优化诊疗流程,转变管理模式,实行规范化管理,是社区卫生服务中心当前必须迈出的一步。因此,开发适合社区卫生服务中心需要的电子病历管理信息系统,可以服务于医务人员和患者,减轻相关人员的工作量,为患者提供更优质的服务。
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引用次数: 0
Load-balancing system for SDN data center based on improved ant colony optimization 基于改进蚁群优化的 SDN 数据中心负载平衡系统
Pub Date : 2024-06-06 DOI: 10.1117/12.3031927
Yue Zhou, Wenlong Wu
The load balancing strategy in the traditional network architecture system is limited to the limitations of the closed operating system of the network device and cannot effectively meet various communication environments. In SDN, a new network architecture with open programming, the load balancing system architecture of the SDN data center is designed. The traffic classification module is used to distinguish large and small flows. A load balancing mechanism based on the improved ant colony optimization is proposed for the forwarding of large flows. A weighted ECMP load balancing mechanism is used for the forwarding of small flows. The improved ant colony optimization considers the difference in link load status and optimizes the parameters of the ant colony optimization. Through experimental simulation and comparison with traditional load balancing algorithms ECMP and DLB algorithms, the advantages of the optimized ant colony optimization in terms of delay jitter, average link utilization and other indicators are verified.
传统网络架构系统中的负载均衡策略受限于网络设备封闭操作系统的限制,无法有效满足各种通信环境。在 SDN 这种开放式编程的新型网络架构中,设计了 SDN 数据中心的负载均衡系统架构。流量分类模块用于区分大流量和小流量。针对大流量的转发,提出了一种基于改进蚁群优化的负载平衡机制。小流量转发采用加权 ECMP 负载平衡机制。改进的蚁群优化考虑了链路负载状态的差异,并优化了蚁群优化的参数。通过实验仿真以及与传统负载均衡算法 ECMP 和 DLB 算法的比较,验证了优化后的蚁群优化在时延抖动、平均链路利用率等指标上的优势。
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引用次数: 0
Privacy federation learning framework based on principal component analysis 基于主成分分析的隐私联盟学习框架
Pub Date : 2024-06-06 DOI: 10.1117/12.3031919
Jiaheng Yang, Xia Feng, Yueming Liu
Federal learning is an effective distributed learning technology that allows machine learning model training while protecting data privacy. However, with the increase of the number of user -side devices, the calculation burden of users in federal learning will increase. Researchers explore the use of dimension reduction technology to reduce the calculation burden required for model training, but this triggers a problem with low accuracy. This article extracts the dimensions of gradient data by improving the main component analysis method to extract the dimensions of gradient data and reduce communication and calculation burden while protecting the privacy of the client. The experimental results of this article show that under large -scale data sets, the method of this article increases the speed of 50%training and reaches 96% accuracy.
联邦学习是一种有效的分布式学习技术,可以在保护数据隐私的同时进行机器学习模型训练。然而,随着用户端设备数量的增加,用户在联邦学习中的计算负担也会增加。研究人员探索使用降维技术来减少模型训练所需的计算负担,但这引发了准确率低的问题。本文通过改进主成分分析方法,提取梯度数据的维度,在保护客户端隐私的同时,减少通信和计算负担。本文的实验结果表明,在大规模数据集下,本文的方法提高了50%的训练速度,准确率达到96%。
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引用次数: 0
Securing digital media: embedding and extracting encrypted digital watermarks using HTML5 Canvas 保护数字媒体:使用 HTML5 画布嵌入和提取加密数字水印
Pub Date : 2024-06-06 DOI: 10.1117/12.3031888
Tianbao Xue, Quanxiang Lan
With the development of digital media technology, the security and copyright protection of media files have become particularly important. This article proposes an encrypted digital watermark technology based on HTML5 Canvas and JavaScript, which can embed and extract digital watermarks from images in the field of front-end development. In addition, this article discusses the necessity of combining encryption technology with digital watermark technology to provide a security protection mechanism for data security. The paper then introduces in detail the process of using HTML5 Canvas and JavaScript to operate image pixels to implement encrypted digital watermark embedding and extraction and achieve covert embedding of data by modifying the Least Significant Bit (LSB) of image pixels. Finally, by comparing the visual differences of the images before and after the experiment and measuring the PSNR value of each group of experimental images, it can be concluded that the encrypted digital watermark technology can effectively hide and transmit encrypted information while maintaining the visual quality of the image and is suitable for copyright protection of images. and covert communication, etc., which have high practical application value in the field of Web front-end.
随着数字媒体技术的发展,媒体文件的安全性和版权保护变得尤为重要。本文提出了一种基于 HTML5 Canvas 和 JavaScript 的加密数字水印技术,可以在前端开发领域嵌入和提取图像中的数字水印。此外,本文还讨论了将加密技术与数字水印技术相结合,为数据安全提供安全保护机制的必要性。然后,本文详细介绍了使用 HTML5 画布和 JavaScript 操作图像像素实现加密数字水印嵌入和提取的过程,并通过修改图像像素的最小有效位(LSB)实现数据的隐蔽嵌入。最后,通过对比实验前后图像的视觉差异和测量各组实验图像的PSNR值,可以得出加密数字水印技术能够在保持图像视觉质量的前提下有效隐藏和传输加密信息,适用于图像版权保护、隐蔽通信等领域,在Web前端领域具有较高的实际应用价值。
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引用次数: 0
Construction of unmanned path tracking optimization control system based on MPC algorithm 基于 MPC 算法的无人机路径跟踪优化控制系统的构建
Pub Date : 2024-06-06 DOI: 10.1117/12.3031970
Zihao Wen, Xinhong Liu
Accompanied by the rapid development of the intelligent automobile industry, unmanned driving has also become one of the important research fields of intelligent automobiles. As the future direction of automobile development, its advantage not only lies in the fact that it can enhance the traffic flow per unit time, but also can track and optimize the vehicle driving route and road safety, so as to reduce the development of traffic accidents and safety hazards. Based on this, this paper discusses the unmanned path tracking optimization control system based on MPC algorithm, and illustrates the superiority of this method through simulation, so as to provide certain reference for unmanned path tracking optimization.
伴随着智能汽车产业的快速发展,无人驾驶也成为智能汽车的重要研究领域之一。作为未来汽车发展的方向,其优势不仅在于可以提高单位时间内的交通流量,还可以对车辆行驶路线和道路安全进行跟踪优化,从而减少交通事故的发生和安全隐患的发展。基于此,本文探讨了基于MPC算法的无人驾驶路径跟踪优化控制系统,并通过仿真说明了该方法的优越性,从而为无人驾驶路径跟踪优化提供一定的参考。
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引用次数: 0
Research on malicious code detection and classification based on dynamic and static features 基于动态和静态特征的恶意代码检测和分类研究
Pub Date : 2024-06-06 DOI: 10.1117/12.3031906
Yueyang Shang, Fuwei Wang, Yunfei Zhang, Dong Li, Wenbin Tan
Malicious code can reflect its malicious behavior through dynamic API sequences and static PE header information, and deep learning algorithms have made progress in such malicious code detection. The article designs a 1D-CNN-BiGRU network model based on one-dimensional convolutional neural networks and bidirectional gated recurrent neural networks. The model takes API call sequences and PE header information as feature inputs and undergoes convolutional computation and recurrent neural network learning training to further learn the features of malicious code. Through the analysis of experimental results, the correctness of the malicious code verification of this model is demonstrated. The detection accuracy of normal samples on dynamic API call sequences is over 97%, and the accuracy on static PE structures is 95.64%. It has good performance in malicious code detection.
恶意代码可以通过动态 API 序列和静态 PE 头信息反映其恶意行为,深度学习算法在此类恶意代码检测方面取得了进展。文章设计了一种基于一维卷积神经网络和双向门控递归神经网络的 1D-CNN-BiGRU 网络模型。该模型以 API 调用序列和 PE 头信息为特征输入,经过卷积计算和递归神经网络学习训练,进一步学习恶意代码的特征。通过对实验结果的分析,证明了该模型对恶意代码验证的正确性。对动态 API 调用序列正常样本的检测准确率超过 97%,对静态 PE 结构的检测准确率为 95.64%。该模型在恶意代码检测方面具有良好的性能。
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引用次数: 0
Design of LDO circuit with low noise and high PSRR 设计具有低噪声和高 PSRR 的 LDO 电路
Pub Date : 2024-06-05 DOI: 10.1117/12.3030321
Xiao Li, Shengming Huang, Yingying Yao
Power supply rejection ratio (PSRR) and noise are important parameters of low voltage difference linear regulators (LDO), which are widely used in audio circuits. In order to achieve high PSRR and low noise, PSRR enhancement circuit and filter circuit are introduced in the LDO circuit designed in this paper. The LDO circuit designed in this paper is realized by MGN 0.35um process. The simulation analysis of the circuit by Cadence tool shows that the PSRR of the LDO circuit is -79dB at low frequency, which is better than -60dB at high frequency. The output noise is 0.395 uv/ √Hz at 1KHz, and the noise in the frequency range of 10Hz~100 KHz is as low as 32.5uVRMS.
电源抑制比(PSRR)和噪声是低压差线性稳压器(LDO)的重要参数,被广泛应用于音频电路中。为了实现高 PSRR 和低噪声,本文设计的 LDO 电路中引入了 PSRR 增强电路和滤波电路。本文设计的 LDO 电路采用 MGN 0.35um 工艺实现。通过 Cadence 工具对电路的仿真分析表明,LDO 电路的 PSRR 在低频时为 -79dB,优于高频时的 -60dB。1KHz 时的输出噪声为 0.395 uv/ √Hz,10Hz~100KHz 频率范围内的噪声低至 32.5uVRMS。
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引用次数: 0
Design and validation of industrial equipment based on MPC-PID control 基于 MPC-PID 控制的工业设备设计与验证
Pub Date : 2024-06-05 DOI: 10.1117/12.3030647
zhiyuan zhou, Yi Bao, ruoxiao qin
The issues of low temperature control accuracy and poor stability in industrial water temperature control systems are addressed in this article. A PID-based temperature control system that combines Model Predictive Control (MPC) with PID control is proposed. A simulation system for water temperature control is designed using Simulink, and adaptive tuning of PID parameters is implemented. In the process of constructing the experimental platform, temperature changes are controlled by driving the hot and cold valves with a temperature control board. It is demonstrated that high temperature control accuracy, fast heating rate, and good stability are achieved by the proposed system, thus meeting the temperature control requirements of the system. The physical model and linearized model of an industrial boiler are introduced, and the discretization of the model and its improvements are discussed. Additionally, the working principles of the PID control algorithm and MPC module are outlined, and experimental results and analysis are presented.
本文探讨了工业用水温度控制系统中温度控制精确度低和稳定性差的问题。本文提出了一种将模型预测控制(MPC)与 PID 控制相结合的基于 PID 的温度控制系统。利用 Simulink 设计了水温控制仿真系统,并实现了 PID 参数的自适应调节。在构建实验平台的过程中,通过温控板驱动冷热阀门来控制温度的变化。实验证明,所提出的系统具有控温精度高、加热速度快、稳定性好等特点,从而满足了系统的控温要求。介绍了工业锅炉的物理模型和线性化模型,并讨论了模型的离散化及其改进。此外,还概述了 PID 控制算法和 MPC 模块的工作原理,并给出了实验结果和分析。
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引用次数: 0
Analysis of the application of filter algorithm in indoor fingerprinting localization 滤波算法在室内指纹定位中的应用分析
Pub Date : 2024-06-05 DOI: 10.1117/12.3030260
Zihao Shi, Changqing Gao, Hangxin Tang, Ruinian Zhang, Shengfeng Ren, Bo Yang
To address the accuracy and cost of indoor localization technology, ZigBee technology is used and proposed to design location fingerprinting localization combined with filter algorithm. Considering that the indoor environment is more complex, buildings and obstacles and other factors lead to unstable RSSI, therefore, the ZigBee technology firstly establishes a location fingerprint database in the localization area, and then receives the RSSI value by using the mobile node, and then the received RSSI is processed by the filter algorithm, and then matches with the data of the established fingerprint database to calculate and get the location coordinates, and finally analyzes the localization results of the several filters processed. The localization results of several filters are lastly analyzed. Through the experiment, it is concluded that the localization accuracy obtained by using Kalman filter is high.
针对室内定位技术的精度和成本问题,利用ZigBee技术,提出了位置指纹定位与滤波算法相结合的设计方案。考虑到室内环境较为复杂,建筑物和障碍物等因素导致RSSI不稳定,因此,ZigBee技术首先在定位区域建立位置指纹数据库,然后利用移动节点接收RSSI值,再将接收到的RSSI经过滤波算法处理,与建立的指纹数据库数据进行匹配,计算得到位置坐标,最后对经过多次滤波处理的定位结果进行分析。最后对几种滤波器的定位结果进行分析。通过实验得出结论,使用卡尔曼滤波器获得的定位精度较高。
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引用次数: 0
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