Aiming at the scheduling problem of underground mining equipment in shot mining, this paper proposes an improved cultural gene algorithm (MA). The global search applies the genetic algorithm, and some adjustments are made in its crossover and mutation operations; the local search uses the simulated annealing algorithm. The global search applies the genetic algorithm, and some adjustments are made in its crossover and mutation operations; the local search uses the simulated annealing algorithm, considering that the algorithm will have a certain probability to jump out of the optimal solution range, so on the basis of the original algorithm, the Gaussian function is replaced by the Cauchy function to avoid this problem. The algorithm is applied to the scenario of 5S15J for simulation experiments. After that, compared with the results of the genetic algorithm, it shows that the improved MA algorithm is obviously better in total time and total interval time, and can obtain high-quality solutions and an ideal cooperative scheduling strategy.
针对射孔采矿中井下采矿设备的调度问题，本文提出了一种改进的文化基因算法（MA）。全局搜索采用遗传算法，并对其交叉和变异操作进行了一些调整；局部搜索采用模拟退火算法。全局搜索采用遗传算法，并在其交叉和变异操作中做了一些调整；局部搜索采用模拟退火算法，考虑到算法会有一定概率跳出最优解范围，因此在原算法的基础上，将高斯函数改为考奇函数，以避免这一问题。将该算法应用于 5S15J 场景进行仿真实验。实验结果表明，改进后的 MA 算法在总时间和总间隔时间上明显优于遗传算法，能得到高质量的解，是一种理想的协同调度策略。
{"title":"Coordinated scheduling optimisation strategy of mining equipment in underground coal mines","authors":"Tianyan Liu, Biao Wang, Hanzhao Liu, Bicheng Tang, Ji Ke, Changqing Wang, Aijun Li, Zhigang Ren","doi":"10.1117/12.3032028","DOIUrl":"https://doi.org/10.1117/12.3032028","url":null,"abstract":"Aiming at the scheduling problem of underground mining equipment in shot mining, this paper proposes an improved cultural gene algorithm (MA). The global search applies the genetic algorithm, and some adjustments are made in its crossover and mutation operations; the local search uses the simulated annealing algorithm. The global search applies the genetic algorithm, and some adjustments are made in its crossover and mutation operations; the local search uses the simulated annealing algorithm, considering that the algorithm will have a certain probability to jump out of the optimal solution range, so on the basis of the original algorithm, the Gaussian function is replaced by the Cauchy function to avoid this problem. The algorithm is applied to the scenario of 5S15J for simulation experiments. After that, compared with the results of the genetic algorithm, it shows that the improved MA algorithm is obviously better in total time and total interval time, and can obtain high-quality solutions and an ideal cooperative scheduling strategy.","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":"141368634","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}
In today's era of rapid development in information technology, short-text data has surged on various social networking platforms. How to quickly and accurately analyze people's emotional tendencies from these vast and complex data is a highly challenging task in the field of short-text data analysis. This paper proposes a short-text sentiment analysis framework that integrates a sentiment lexicon and graph convolutional neural networks (GCN). The framework utilizes the sentiment dictionary to enhance sentiment recognition and employs GCN to process complex data structures, learning the emotional features of short texts, and ultimately achieving short-text sentiment classification. To verify the effectiveness of the model, we conducted validation on public datasets. The experimental results show that this model significantly improves classification accuracy and recall rate compared to traditional single models.
{"title":"Short text sentiment analysis combining sentiment lexicon and graph convolutional networks","authors":"Peiyi Qu, Yonglin Leng","doi":"10.1117/12.3032025","DOIUrl":"https://doi.org/10.1117/12.3032025","url":null,"abstract":"In today's era of rapid development in information technology, short-text data has surged on various social networking platforms. How to quickly and accurately analyze people's emotional tendencies from these vast and complex data is a highly challenging task in the field of short-text data analysis. This paper proposes a short-text sentiment analysis framework that integrates a sentiment lexicon and graph convolutional neural networks (GCN). The framework utilizes the sentiment dictionary to enhance sentiment recognition and employs GCN to process complex data structures, learning the emotional features of short texts, and ultimately achieving short-text sentiment classification. To verify the effectiveness of the model, we conducted validation on public datasets. The experimental results show that this model significantly improves classification accuracy and recall rate compared to traditional single models.","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":"141369815","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}
With the development of electronic information technology in the 21st century, various testing and acquisition techniques have made breakthrough progress. However, with the rapid development of commercial society and economy, traditional acquisition methods no longer meet current requirements, especially in the measurement industry. LabVIEW, with its intuitive visual programming interface, rich functional modules, and compatibility with other software, has become one of the preferred tools for engineers to perform data acquisition, analysis, and control. Users can build a data acquisition system that suits their practical applications using LabVIEW, and can monitor and record data from various sensors and instruments in real-time. Furthermore, the collected data can be analyzed and processed. In this paper, a weak current acquisition device is designed using the USB6001 data acquisition card as an example
{"title":"Design and implementation of data acquisition system based on LabVIEW","authors":"Sen Hou","doi":"10.1117/12.3032034","DOIUrl":"https://doi.org/10.1117/12.3032034","url":null,"abstract":"With the development of electronic information technology in the 21st century, various testing and acquisition techniques have made breakthrough progress. However, with the rapid development of commercial society and economy, traditional acquisition methods no longer meet current requirements, especially in the measurement industry. LabVIEW, with its intuitive visual programming interface, rich functional modules, and compatibility with other software, has become one of the preferred tools for engineers to perform data acquisition, analysis, and control. Users can build a data acquisition system that suits their practical applications using LabVIEW, and can monitor and record data from various sensors and instruments in real-time. Furthermore, the collected data can be analyzed and processed. In this paper, a weak current acquisition device is designed using the USB6001 data acquisition card as an example","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":"141370283","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}
Starting from practical needs, this article combines network technology, control technology, and radar technology based on the latest developments in communication technology. A distributed remote control shipborne radar system has been designed, focusing on solving the problem of unmanned shipborne radar and achieving unmanned and intelligent remote control of shipborne radar. The system is divided into three parts: the shore remote control center, the shipborne radar end, and the wireless network. The operator obtains real-time information such as radar intelligence, radar working status, and surrounding situation from the human-machine interface of the shore remote control center, and controls the shipborne radar equipment through the wireless network to achieve intelligent remote control of the shipborne radar. It meets the needs of unmanned and intelligent shipborne radar, improves the reliability and safety of shipborne radar, and provides reference and inspiration for the intelligent unmanned application of shipborne radar in the future.
{"title":"Comprehensive design of a distributed intelligent unmanned shipborne radar system","authors":"Tong Xue, Xiaotong Liu, Xiongfei Zhang, Hangzhou Zuo","doi":"10.1117/12.3032136","DOIUrl":"https://doi.org/10.1117/12.3032136","url":null,"abstract":"Starting from practical needs, this article combines network technology, control technology, and radar technology based on the latest developments in communication technology. A distributed remote control shipborne radar system has been designed, focusing on solving the problem of unmanned shipborne radar and achieving unmanned and intelligent remote control of shipborne radar. The system is divided into three parts: the shore remote control center, the shipborne radar end, and the wireless network. The operator obtains real-time information such as radar intelligence, radar working status, and surrounding situation from the human-machine interface of the shore remote control center, and controls the shipborne radar equipment through the wireless network to achieve intelligent remote control of the shipborne radar. It meets the needs of unmanned and intelligent shipborne radar, improves the reliability and safety of shipborne radar, and provides reference and inspiration for the intelligent unmanned application of shipborne radar in the future.","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":"141369111","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}
In Lidar system, time interval measurement technology is the key to achieve high precision time frequency transmission and ranging. By measuring the signal duration, arrival time and pulse width of communication equipment, more accurate time interval data can be obtained. However, the traditional time interval measurement method has some problems, such as low accuracy, difficulty in maintaining long working time and complicated design. Based on the Lidar system, this paper presents a delay line interpolation time interval measurement technology suitable for Lidar system distance measurement by analyzing the advantages and disadvantages of various time interval measurement techniques. The method has the advantages of small measurement error, high precision, stable and efficient, and simple design. Through the error analysis, it can be seen that the final test error of delay line interpolation time interval measurement technology based on Lidar ranging system is 90ps, the resolution is 50ps, and the corresponding minimum range resolution is 15mm.
{"title":"A delay line interpolation time interval measurement technique based on Lidar system","authors":"Tao Jiao, Zhenqiang Zhao","doi":"10.1117/12.3032078","DOIUrl":"https://doi.org/10.1117/12.3032078","url":null,"abstract":"In Lidar system, time interval measurement technology is the key to achieve high precision time frequency transmission and ranging. By measuring the signal duration, arrival time and pulse width of communication equipment, more accurate time interval data can be obtained. However, the traditional time interval measurement method has some problems, such as low accuracy, difficulty in maintaining long working time and complicated design. Based on the Lidar system, this paper presents a delay line interpolation time interval measurement technology suitable for Lidar system distance measurement by analyzing the advantages and disadvantages of various time interval measurement techniques. The method has the advantages of small measurement error, high precision, stable and efficient, and simple design. Through the error analysis, it can be seen that the final test error of delay line interpolation time interval measurement technology based on Lidar ranging system is 90ps, the resolution is 50ps, and the corresponding minimum range resolution is 15mm.","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":"141369020","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}
With the increasing commercialization of deep neural networks (DNN), there is a growing need for running multiple neural networks simultaneously on an accelerator. This creates a new space to explore the allocation of computing resources and the order of computation. However, the majority of current research in multi-DNN scheduling relies predominantly on newly developed accelerators or employs heuristic methods aimed primarily at reducing DRAM traffic, increasing throughput and improving Service Level Agreements (SLA) satisfaction. These approaches often lead to poor portability, incompatibility with other optimization methods, and markedly high energy consumption. In this paper, we introduce a novel scheduling framework, M-LAB, that all scheduling of data is at layer level instead of network level, which means our framework is compatible with the research of inter-layer scheduling, with significant improvement in energy consumption and speed. To facilitate layer-level scheduling, M-LAB eliminates the conventional network boundaries, transforming these dependencies into a layer-to-layer format. Subsequently, M-LAB explores the scheduling space by amalgamating inter-layer and intra-layer scheduling, which allows for a more nuanced and efficient scheduling strategy tailored to the specific needs of multiple neural networks. Compared with current works, M-LAB achieves 2.06x-4.85x speed-up and 2.27-4.12x cost reduction.
{"title":"M-LAB: scheduling space exploration of multitasks on tiled deep learning accelerators","authors":"Bingya Zhang, Sheng Zhang","doi":"10.1117/12.3032039","DOIUrl":"https://doi.org/10.1117/12.3032039","url":null,"abstract":"With the increasing commercialization of deep neural networks (DNN), there is a growing need for running multiple neural networks simultaneously on an accelerator. This creates a new space to explore the allocation of computing resources and the order of computation. However, the majority of current research in multi-DNN scheduling relies predominantly on newly developed accelerators or employs heuristic methods aimed primarily at reducing DRAM traffic, increasing throughput and improving Service Level Agreements (SLA) satisfaction. These approaches often lead to poor portability, incompatibility with other optimization methods, and markedly high energy consumption. In this paper, we introduce a novel scheduling framework, M-LAB, that all scheduling of data is at layer level instead of network level, which means our framework is compatible with the research of inter-layer scheduling, with significant improvement in energy consumption and speed. To facilitate layer-level scheduling, M-LAB eliminates the conventional network boundaries, transforming these dependencies into a layer-to-layer format. Subsequently, M-LAB explores the scheduling space by amalgamating inter-layer and intra-layer scheduling, which allows for a more nuanced and efficient scheduling strategy tailored to the specific needs of multiple neural networks. Compared with current works, M-LAB achieves 2.06x-4.85x speed-up and 2.27-4.12x cost reduction.","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":"141369550","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}
hang zhang, liqi zhuang, dong wei, weiqing huang, Jing Li
Traffic identification is a vital technology in network security. Currently, the identification of mobile network traffic is based on the downlink data in the air interface. This is because it is difficult to synchronize uplinks and obtain uplink traffic data in real-world environments. We propose to utilize mobile communication network sideband resource occupancy for traffic identification. This method captures the uplink IQ data and draws a time-frequency resource map. In order to reduce the computational complexity, we only use the sideband portion of the time-frequency resource map for identification. Based on the different colors reflected on the time-frequency resource map by different users' uplink transmitting power, we distinguish the number of users by color and separate the different user data. The result shows that the accuracy of user number identification is up to 95%. Finally, we use Resnet18 to identify the service of the separated pictures. The F1 parameter of the Resnet18 network reaches 88%.
流量识别是网络安全的一项重要技术。目前，移动网络流量识别基于空中接口的下行链路数据。这是因为在实际环境中很难同步上行链路和获取上行链路流量数据。我们建议利用移动通信网络边带资源占用率进行流量识别。这种方法捕获上行链路 IQ 数据并绘制时频资源图。为了降低计算复杂度，我们只使用时频资源图的边带部分进行识别。根据不同用户的上行链路发射功率在时频资源图上反映出的不同颜色，我们用颜色区分用户数量，并分离出不同的用户数据。结果表明，用户号码识别的准确率高达 95%。最后，我们使用 Resnet18 来识别分离图片的服务。Resnet18 网络的 F1 参数达到 88%。
{"title":"Passive traffic analysis based on resource occupancy of mobile communication uplink control channel","authors":"hang zhang, liqi zhuang, dong wei, weiqing huang, Jing Li","doi":"10.1117/12.3031911","DOIUrl":"https://doi.org/10.1117/12.3031911","url":null,"abstract":"Traffic identification is a vital technology in network security. Currently, the identification of mobile network traffic is based on the downlink data in the air interface. This is because it is difficult to synchronize uplinks and obtain uplink traffic data in real-world environments. We propose to utilize mobile communication network sideband resource occupancy for traffic identification. This method captures the uplink IQ data and draws a time-frequency resource map. In order to reduce the computational complexity, we only use the sideband portion of the time-frequency resource map for identification. Based on the different colors reflected on the time-frequency resource map by different users' uplink transmitting power, we distinguish the number of users by color and separate the different user data. The result shows that the accuracy of user number identification is up to 95%. Finally, we use Resnet18 to identify the service of the separated pictures. The F1 parameter of the Resnet18 network reaches 88%.","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":"141369560","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}
To improve radar signal detection accuracy of traditional methods under low SNR, a detection method based on stacked auto-encoder (SAE) and time-frequency domain features is proposed. The time-domain features, frequency-domain features and joint time-frequency domain features of signal are extracted by SAE to obtain the representative features of radar signal. The extracted features are input into support vector data description (SVDD) for open-set judgment to distinguish radar signal from background signal. Simulation results show that the accuracy and robustness of object detection are improved and the performance of object detection algorithms in complex environments is improved by integrating time-domain features and frequency-domain features information from the target background into detection decisions. It has practical significance for improving the detection accuracy of radar signal detection under low SNR.
{"title":"Radar signal detection under low SNR using stacked auto-encoder and time-frequency domain features","authors":"Yuan Huang, Tao Liu, Ke Li","doi":"10.1117/12.3032046","DOIUrl":"https://doi.org/10.1117/12.3032046","url":null,"abstract":"To improve radar signal detection accuracy of traditional methods under low SNR, a detection method based on stacked auto-encoder (SAE) and time-frequency domain features is proposed. The time-domain features, frequency-domain features and joint time-frequency domain features of signal are extracted by SAE to obtain the representative features of radar signal. The extracted features are input into support vector data description (SVDD) for open-set judgment to distinguish radar signal from background signal. Simulation results show that the accuracy and robustness of object detection are improved and the performance of object detection algorithms in complex environments is improved by integrating time-domain features and frequency-domain features information from the target background into detection decisions. It has practical significance for improving the detection accuracy of radar signal detection under low SNR.","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":"141370216","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}
With the advancement of satellite communication technology and space launch technology, low earth orbit (LEO) satellites have become the best choice to overcome geographical limitations and achieve global communication. In order to achieve efficient performance in the large-scale LEO constellation network, a routing algorithm adapted to satellite network is necessary. A routing algorithm based on on-demand routing is proposed to address the issues of high network overhead and difficult routing in the large-scale LEO constellation. "Maximum routing restriction area" is defined based on the satellite network structure to reduce the routing overhead in the large-scale constellation network and improve network performance. The simulation results show that this algorithm has better network performance in the large-scale constellation network compared to the other on-demand routing algorithms.
{"title":"A distributed on-demand routing algorithm for large-scale low Earth orbit constellation","authors":"Hefei Hu, siyan lv, Jun He, Simin Feng","doi":"10.1117/12.3031951","DOIUrl":"https://doi.org/10.1117/12.3031951","url":null,"abstract":"With the advancement of satellite communication technology and space launch technology, low earth orbit (LEO) satellites have become the best choice to overcome geographical limitations and achieve global communication. In order to achieve efficient performance in the large-scale LEO constellation network, a routing algorithm adapted to satellite network is necessary. A routing algorithm based on on-demand routing is proposed to address the issues of high network overhead and difficult routing in the large-scale LEO constellation. \"Maximum routing restriction area\" is defined based on the satellite network structure to reduce the routing overhead in the large-scale constellation network and improve network performance. The simulation results show that this algorithm has better network performance in the large-scale constellation network compared to the other on-demand routing algorithms.","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":"141369827","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}
Centering on the main line of intelligent development of civil aviation, carrying out the application and product development of airport digital twin technology is a key link to promote the integrated development of digital economy and real economy. In the airport flight scheduling work, under normal circumstances, the flight planning time (arrival time, departure time) will be planned, without the need for AOC transfer. However, when special circumstances occur, AOC will select some flights in the next day's flight schedule to adjust their arrival time or departure time to the rest of the time according to demand. However, manual timing is time-consuming and requires a certain amount of experience, so an automatic timing algorithm that can meet the actual needs has an urgent need to improve the efficiency of AOC.
{"title":"Timing algorithm design based on digital twin airport","authors":"Wei Wang, Hairui Song, Liping Yan, Senping Song","doi":"10.1117/12.3031969","DOIUrl":"https://doi.org/10.1117/12.3031969","url":null,"abstract":"Centering on the main line of intelligent development of civil aviation, carrying out the application and product development of airport digital twin technology is a key link to promote the integrated development of digital economy and real economy. In the airport flight scheduling work, under normal circumstances, the flight planning time (arrival time, departure time) will be planned, without the need for AOC transfer. However, when special circumstances occur, AOC will select some flights in the next day's flight schedule to adjust their arrival time or departure time to the rest of the time according to demand. However, manual timing is time-consuming and requires a certain amount of experience, so an automatic timing algorithm that can meet the actual needs has an urgent need to improve the efficiency of AOC.","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":"141369576","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}
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