International Conference on Algorithms, Microchips and Network Applications最新文献_第3页

Research on intelligent botnet defense and analysis technology based on dynamic adversarial models 基于动态对抗模型的僵尸网络智能防御与分析技术研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031979

Ying Ling, Fuchuan Tang, Xin Li, Dong Bin, Chunyan Yang

引用次数: 0

Detection of ultrashort wave broadband satellite signal based on overlay spectrum and SST YOLOV5s 基于叠加频谱和 SST YOLOV5s 的超短波宽带卫星信号探测

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031909

Shoubin Wang, Xianwu Sha, Shang Wu, Lei Shen

{"title":"Detection of ultrashort wave broadband satellite signal based on overlay spectrum and SST YOLOV5s","authors":"Shoubin Wang, Xianwu Sha, Shang Wu, Lei Shen","doi":"10.1117/12.3031909","DOIUrl":"https://doi.org/10.1117/12.3031909","url":null,"abstract":"In the complex electromagnetic environment of the 230-270MHz ultra short wave frequency band, traditional energy detection methods suffer from missed detections and high false alarm rates in broadband satellite signals. This paper proposes a broadband ultra short wave signal detection method based on the Short Cut Swin Transformer YOLOV5s (SST-YOLOV5s) network with spectrum superposition, Effectively addressing the challenge of detecting broadband satellite channels in low signal-to-noise ratio scenarios, a problem often encountered with traditional methods. Additionally, tackling the issue of elevated false alarm rates when interference anomalies are present. Firstly, by overlaying spectra, the discrimination between ultra short wave signals and bottom noise is highlighted, and the influence of short burst interference is suppressed, Enhancing the target signal characteristics effectively amidst a low signal-to-noise ratio. Simultaneously, a four layer SC (shortcut)-ST (Swin Transformer) and multi-layer convolutional cascaded ultra short wave signal feature extraction backbone network SST-Backbone (SC-ST-Backbone) are proposed. In the backbone network, the SC-ST module utilizes the global attention to global features of the Transformer, combined with residual multi-layer convolution modules that focus on local features, to increase the depth and receptive field of the network, making the network model more accurate in reconnaissance and detection of broadband ultra short wave signals in the target frequency band. It can efficiently remove the interference of bottom noise features and reduce the attention to abnormal signal features, Improved the detection accuracy of broadband ultra short wave target signals in complex environments and reduced false alarm rates.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A greedy online 3D bin packing algorithm based on multi-indicator fusion 基于多指标融合的贪婪在线 3D 仓包装算法

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031910

Lixin Ma, Wei Wang, Tong Zhang, Xincheng Tian, Yong Jiang

引用次数: 0

Machine learning-based classification method for millimeter wave indoor channel at 28 GHz 基于机器学习的 28 千兆赫毫米波室内信道分类方法

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031962

Youqiang Xu, Rongchen Sun

引用次数: 0

Protocol-based non-invasive Modbus monitoring device for industrial internet of things data sharing 用于工业物联网数据共享的基于协议的非侵入式 Modbus 监控设备

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032042

Xuanzhi Huang, Deji Chen, Hongyuan Hu

{"title":"Protocol-based non-invasive Modbus monitoring device for industrial internet of things data sharing","authors":"Xuanzhi Huang, Deji Chen, Hongyuan Hu","doi":"10.1117/12.3032042","DOIUrl":"https://doi.org/10.1117/12.3032042","url":null,"abstract":"The traditional Modbus communication architecture usually consists of a single master station and multiple slave stations, which can lead to decreased communication efficiency in certain application scenarios. As IIoT (Industrial Internet of Things) continues to progress, there is a growing demand for new sophisticated applications that necessitate retrieving data from various industrial settings. As a result, multi-master station technology has been developed, enabling the retrieval of on-site data without disrupting the data collection process of the primary master station. However, most of these solutions require modifications to the original bus and the suspension of the original data collection process during installation. In order to maintain the integrity of the original bus system, this study introduces a Modbus multi-master technology in which the additional master employs a non-invasive listening approach to receive messages. It identifies request and response messages based on the protocol’s function codes and message byte numbers, parses information, and shares the acquired data to IIoT applications. The technology was tested in an IIoT application in which a WirelessHART network node was converted into such a master, which uploads acquired data wirelessly to the IIoT application. The findings indicate that the new master successfully identified messages and exchanged data with precision","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on KG and LLM knowledge-enhanced pediatric diseases intelligent diagnosis KG 和 LLM 知识增强型儿科疾病智能诊断研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032061

Wenhui Fu, Dongming Dai, Kunli Zhang, Xiaomei Liu, Heng Zhang, Lingxiang Ao, Jinlong Xiao

引用次数: 0

APSN: adaptive prediction sample network in Deep Q learning APSN：深度 Q 学习中的自适应预测样本网络

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031933

Shijie Chu

引用次数: 0

Research on speed profile generation of train automatic driving planning based on improved genetic algorithm 基于改进遗传算法的列车自动驾驶规划速度曲线生成研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032033

Qinyue Zhu, Runkai Hua, Yichen Yu, Jiyuan Li

引用次数: 0

Towards a container scheduling policy for alleviating total startup latency in serverless computing platform 为减轻无服务器计算平台的总启动延迟制定容器调度策略

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032003

Chang Wang, Zhiqiong Liu, Jin Liu, Wang Li, Junxin Chen

{"title":"Towards a container scheduling policy for alleviating total startup latency in serverless computing platform","authors":"Chang Wang, Zhiqiong Liu, Jin Liu, Wang Li, Junxin Chen","doi":"10.1117/12.3032003","DOIUrl":"https://doi.org/10.1117/12.3032003","url":null,"abstract":"FaaS enables users to focus on developing function codes rather than managing complex infrastructure, as the serverless computing platform takes responsibility for resource management and dynamically scales computing resources for serverless functions. While serverless computing platform provides efficient hardware resource management and provisioning, they suffer from weaker computing performance due to the latency associated with serverless function startup. Startup latency refers to the time required to prepare execution environments for user functions. To alleviate this latency, this paper proposes a container scheduling policy aimed at reducing startup latency by reducing the likelihood of container cold starts. This is achieved by unifying language runtime images, creating pre-warm container pools, and warm containers. We formulate the startup latency problem and implement a scheduling policy in a serverless computing platform. Simulation results demonstrate that our proposed scheduling policy effectively reduces overall startup latency while ensuring optimal computing performance for user functions.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of a model algorithm for calculating object projection length 物体投影长度计算模型算法分析

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031930

Bing Yang, Qiao Guo, Gaoyang Su, Zhiyuan Pan

引用次数: 0