Most of the supports in the engine are hollow structures. The hollow supports are the necessary paths for the internal acoustic emission (AE) signals to propagate to the shell. In this paper, the variation trend of amplitude and energy of AE signals with different frequencies in the propagation process of hollow supports are studied by numerical simulation and experiment. The amplitude and energy attenuation coefficients are proposed to quantify the propagation characteristics of signals. Through the pencil lead-break experiments, the spectrum analysis and the time-frequency domain analysis based on wavelet transform (WT) of AE signals in the propagation process are carried out. The results show that the tail end of the hollow support can converge and enhance the signals, and validated through experiments. This study demonstrates the propagation characteristics of AE signals in the hollow support structure, which helps to understand the signal propagation in complex structures and optimize the placement of AE sensors to improve the received signal strength.
{"title":"Propagation characteristics of acoustic emission signals in engine hollow supports","authors":"Zhenquan Li, Zhengcai Guo, Guoan Yang","doi":"10.1117/12.2639177","DOIUrl":"https://doi.org/10.1117/12.2639177","url":null,"abstract":"Most of the supports in the engine are hollow structures. The hollow supports are the necessary paths for the internal acoustic emission (AE) signals to propagate to the shell. In this paper, the variation trend of amplitude and energy of AE signals with different frequencies in the propagation process of hollow supports are studied by numerical simulation and experiment. The amplitude and energy attenuation coefficients are proposed to quantify the propagation characteristics of signals. Through the pencil lead-break experiments, the spectrum analysis and the time-frequency domain analysis based on wavelet transform (WT) of AE signals in the propagation process are carried out. The results show that the tail end of the hollow support can converge and enhance the signals, and validated through experiments. This study demonstrates the propagation characteristics of AE signals in the hollow support structure, which helps to understand the signal propagation in complex structures and optimize the placement of AE sensors to improve the received signal strength.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"12258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129815049","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}
Improving the visual recognition and positioning accuracy in the outdoor environment is an important way to improve the picking efficiency of fruit picking robots. With the rapid development of artificial intelligence, the convolutional neural network algorithm has gradually become an important research direction for machine recognition and localization. It can automatically extract target features, with high recognition accuracy, high speed and strong robustness. This paper takes pears as the research object, and proposes an improved pear recognition and localization algorithm based on the yolov5 model. The generalization ability of the model is improved by preprocessing and data enhancement of the data set, and an improved k-means clustering algorithm is proposed to realize the optimal calculation of the initial anchor frame. Compared with the original yolov5 model, the fitness and best recall rate of the improved algorithm in recognizing pears are increased by 6% and 9%, respectively.
{"title":"An improved pear recognition and localization algorithm based on yolov5 model","authors":"Xiaomei Hu, Yi Chen, Jun Wu","doi":"10.1117/12.2639309","DOIUrl":"https://doi.org/10.1117/12.2639309","url":null,"abstract":"Improving the visual recognition and positioning accuracy in the outdoor environment is an important way to improve the picking efficiency of fruit picking robots. With the rapid development of artificial intelligence, the convolutional neural network algorithm has gradually become an important research direction for machine recognition and localization. It can automatically extract target features, with high recognition accuracy, high speed and strong robustness. This paper takes pears as the research object, and proposes an improved pear recognition and localization algorithm based on the yolov5 model. The generalization ability of the model is improved by preprocessing and data enhancement of the data set, and an improved k-means clustering algorithm is proposed to realize the optimal calculation of the initial anchor frame. Compared with the original yolov5 model, the fitness and best recall rate of the improved algorithm in recognizing pears are increased by 6% and 9%, respectively.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132243934","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}
The multiple-sets splitting feasibility problem (MSSFP) is the extension of splitting feasibility problem. This problem has been widely used in visual neural network and fuzzy image processing system. In this article, we offer the regularization methods of the inertial relaxed CQ algorithm, where the choice of parameters is not related to the operator norm. Under certain conditions, the weak convergence of the sequences is proved. In addition, the convergence of the algorithm is verified by numerical experiments.
{"title":"New inertial relaxed CQ regularization methods for the multiple-sets splitting feasibility problem","authors":"Wenting Chen, Mei-xia Li","doi":"10.1117/12.2639062","DOIUrl":"https://doi.org/10.1117/12.2639062","url":null,"abstract":"The multiple-sets splitting feasibility problem (MSSFP) is the extension of splitting feasibility problem. This problem has been widely used in visual neural network and fuzzy image processing system. In this article, we offer the regularization methods of the inertial relaxed CQ algorithm, where the choice of parameters is not related to the operator norm. Under certain conditions, the weak convergence of the sequences is proved. In addition, the convergence of the algorithm is verified by numerical experiments.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"61 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126108106","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}
Yong Sun, Shaopan Zhang, W. Yang, Di Wang, Ji-rong Xue, Yan Chen
Building target is an important target on the battlefield. In the process of system simulation, it is necessary to analyze the vulnerability of various typical building targets, this paper presents a damage tree modeling and vulnerability analysis method for typical building targets, including target composition and functional characteristic analysis, system structure functional damage tree analysis, target vulnerability model establishment, vulnerability characteristic analysis and so on, which can be used for damage modeling and vulnerability analysis of related typical building targets.
{"title":"A damage tree modeling and vulnerability analysis method for typical building targets","authors":"Yong Sun, Shaopan Zhang, W. Yang, Di Wang, Ji-rong Xue, Yan Chen","doi":"10.1117/12.2639301","DOIUrl":"https://doi.org/10.1117/12.2639301","url":null,"abstract":"Building target is an important target on the battlefield. In the process of system simulation, it is necessary to analyze the vulnerability of various typical building targets, this paper presents a damage tree modeling and vulnerability analysis method for typical building targets, including target composition and functional characteristic analysis, system structure functional damage tree analysis, target vulnerability model establishment, vulnerability characteristic analysis and so on, which can be used for damage modeling and vulnerability analysis of related typical building targets.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410442","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 space science, the research on the performance of space deployable antenna has become one of the hot topics. The finite element modeling method was proposed and the corresponding finite element model was established. The antenna fundamental frequency was 1.0291 Hz, the experimental result was 1.13 Hz, and the error was 8.9%, which proved the accuracy of the established finite element model. In order to study the influence of high and low temperature environment on the performance of the antenna in orbit, a thermal deformation analysis method of a spacedeployable composite antenna in orbit was proposed. After the analysis, the maximum stress and maximum strain of the antenna were 39.54 MPa and 1.002 mm after the temperature change from -50℃ to 70℃. It indicates that the performance of antenna in orbit is greatly affected by high and low temperature environment. The modeling and analysis method described in this paper can provide a reference for the design, analysis and optimization of deployable structures of the same type.
{"title":"Performance analysis of a composite space deployable antenna","authors":"Zhijie Yang, Jun Zhao","doi":"10.1117/12.2639289","DOIUrl":"https://doi.org/10.1117/12.2639289","url":null,"abstract":"With the development of space science, the research on the performance of space deployable antenna has become one of the hot topics. The finite element modeling method was proposed and the corresponding finite element model was established. The antenna fundamental frequency was 1.0291 Hz, the experimental result was 1.13 Hz, and the error was 8.9%, which proved the accuracy of the established finite element model. In order to study the influence of high and low temperature environment on the performance of the antenna in orbit, a thermal deformation analysis method of a spacedeployable composite antenna in orbit was proposed. After the analysis, the maximum stress and maximum strain of the antenna were 39.54 MPa and 1.002 mm after the temperature change from -50℃ to 70℃. It indicates that the performance of antenna in orbit is greatly affected by high and low temperature environment. The modeling and analysis method described in this paper can provide a reference for the design, analysis and optimization of deployable structures of the same type.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115718278","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}
Automatic control system is the representative of social comprehensive technological innovation, which has the characteristics of digitalization, programming and flexibility, and provides more reliable technical support for the performance of mechanical production. Based on this, this paper takes the food packaging machine system as an example to optimize the existing automatic food packaging machinery control system, give full play to the advantages of automation ability, and promote the improvement of social productivity.
{"title":"Design method of automatic packaging mechanical control system","authors":"Yang Liu, Lin Gan","doi":"10.1117/12.2639343","DOIUrl":"https://doi.org/10.1117/12.2639343","url":null,"abstract":"Automatic control system is the representative of social comprehensive technological innovation, which has the characteristics of digitalization, programming and flexibility, and provides more reliable technical support for the performance of mechanical production. Based on this, this paper takes the food packaging machine system as an example to optimize the existing automatic food packaging machinery control system, give full play to the advantages of automation ability, and promote the improvement of social productivity.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130633068","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}
Aiming at the characteristics of high-speed video signals and the stability requirements in some application scenarios, a digital data transmission technology based on FPD-Link III transmission technology is proposed. There is no intrusive design for digital video signals. The design adopts the serializer chip of the model DS90UB925Q-Q1DS90UH925Q-Q 1 and the deserializer chip of the model DS90UH925Q-Q 1, which can realize the non-intrusive acquisition of the video signal. The functions of each part are introduced in detail, and the overall functional block diagram and hardware principle block diagram are given. The practical engineering application shows that the design is simple and reliable, low cost, and has high promotion value.
针对高速视频信号的特点和某些应用场景对稳定性的要求，提出了一种基于fpga - link III传输技术的数字数据传输技术。没有针对数字视频信号的侵入式设计。本设计采用型号为DS90UB925Q-Q1DS90UH925Q-Q 1的串行化芯片和型号为DS90UH925Q-Q 1的反串行化芯片，可以实现视频信号的非侵入式采集。详细介绍了各部分的功能，给出了总体功能框图和硬件原理框图。实际工程应用表明，该设计简单可靠，成本低，具有较高的推广价值。
{"title":"Research on non-intrusive video capture technology based on FPD-linkⅢ","authors":"Haibo Shen, Haili Zhao","doi":"10.1117/12.2639178","DOIUrl":"https://doi.org/10.1117/12.2639178","url":null,"abstract":"Aiming at the characteristics of high-speed video signals and the stability requirements in some application scenarios, a digital data transmission technology based on FPD-Link III transmission technology is proposed. There is no intrusive design for digital video signals. The design adopts the serializer chip of the model DS90UB925Q-Q1DS90UH925Q-Q 1 and the deserializer chip of the model DS90UH925Q-Q 1, which can realize the non-intrusive acquisition of the video signal. The functions of each part are introduced in detail, and the overall functional block diagram and hardware principle block diagram are given. The practical engineering application shows that the design is simple and reliable, low cost, and has high promotion value.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"59 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114353841","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}
Abstract Meaning Representation (AMR) is a kind of semantic representation of natural language, which aims to represent the semantics of a sentence by a rooted, directed, and acyclic graph (DAG). Most existing AMR parsing works are designed under specific dictionary. However, these works make the content length of each node limited, and they mainly need to go through a very complicated post-processing process. In this paper, we propose a novel encoder-decoder framework for AMR parsing to address these issues, which generates a graph structure and predicts node relationships simultaneously. Specifically, we represent each node as a five-tuple form, containing token sequence of variable length and the connection relationship with other nodes. BERT model is employed as the encoder module. Our decoder module first generates a linearization representation of the graph structure, then predicts multiple elements of each node by four different attention based classifiers. We also found an effective way to improve the generalization performance of Transformer model for graph generation. By assigning different index number to nodes in each training step and remove positional encoding used in most generative models, the model can learn the relationship between nodes better. Experiments against two AMR datasets demonstrate the competitive performance of our proposed method compared with baseline methods.
{"title":"Guiding transformer to generate graph structure for AMR parsing","authors":"Runliang Niu, Qi Wang","doi":"10.1117/12.2639102","DOIUrl":"https://doi.org/10.1117/12.2639102","url":null,"abstract":"Abstract Meaning Representation (AMR) is a kind of semantic representation of natural language, which aims to represent the semantics of a sentence by a rooted, directed, and acyclic graph (DAG). Most existing AMR parsing works are designed under specific dictionary. However, these works make the content length of each node limited, and they mainly need to go through a very complicated post-processing process. In this paper, we propose a novel encoder-decoder framework for AMR parsing to address these issues, which generates a graph structure and predicts node relationships simultaneously. Specifically, we represent each node as a five-tuple form, containing token sequence of variable length and the connection relationship with other nodes. BERT model is employed as the encoder module. Our decoder module first generates a linearization representation of the graph structure, then predicts multiple elements of each node by four different attention based classifiers. We also found an effective way to improve the generalization performance of Transformer model for graph generation. By assigning different index number to nodes in each training step and remove positional encoding used in most generative models, the model can learn the relationship between nodes better. Experiments against two AMR datasets demonstrate the competitive performance of our proposed method compared with baseline methods.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134457385","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}
Wei-nan Fan, Zhong Xu, Junxiang Liu, Yong Wang, W. Mo
Distribution network communication operation and maintenance platform rely on communication network. The distribution network substation needs to obtain distribution network operation data configuration through communication network. The reliability of communication network directly affects the protection performance. Therefore, there is a need to establish a communication network that is reliable and meet protection performance requirements. In order to improve the engineering application of distribution network communication operation and maintenance platform, it is necessary to quantitatively evaluate the data quality of the distribution network communication operation and maintenance platform. Based on the construction background of smart distribution network, this paper studies the architecture of distribution network communication operation and maintenance platform. Starting from the requirements of information interconnection, intercommunication, interoperability and plug-and-play, the description specification of distribution network communication operation is established according to the principle of artificial intelligence data analysis. The unified modeling of protection and control system is realized. By analyzing the business composition of regional protection and self-healing control system of distribution network, the size of network information flow is quantitatively evaluated, which provides a basis for the engineering application of regional protection and self-healing control system of the distribution network. Experimental analysis shows that compared with the traditional method, the comprehensive performance of this method is improved by 10%. The partial performance is improved by 40%, which can support the master-slave regional protection and control business system.
{"title":"Research on 3D visualization modeling and lightweight display technology of transmission channel","authors":"Wei-nan Fan, Zhong Xu, Junxiang Liu, Yong Wang, W. Mo","doi":"10.1117/12.2640350","DOIUrl":"https://doi.org/10.1117/12.2640350","url":null,"abstract":"Distribution network communication operation and maintenance platform rely on communication network. The distribution network substation needs to obtain distribution network operation data configuration through communication network. The reliability of communication network directly affects the protection performance. Therefore, there is a need to establish a communication network that is reliable and meet protection performance requirements. In order to improve the engineering application of distribution network communication operation and maintenance platform, it is necessary to quantitatively evaluate the data quality of the distribution network communication operation and maintenance platform. Based on the construction background of smart distribution network, this paper studies the architecture of distribution network communication operation and maintenance platform. Starting from the requirements of information interconnection, intercommunication, interoperability and plug-and-play, the description specification of distribution network communication operation is established according to the principle of artificial intelligence data analysis. The unified modeling of protection and control system is realized. By analyzing the business composition of regional protection and self-healing control system of distribution network, the size of network information flow is quantitatively evaluated, which provides a basis for the engineering application of regional protection and self-healing control system of the distribution network. Experimental analysis shows that compared with the traditional method, the comprehensive performance of this method is improved by 10%. The partial performance is improved by 40%, which can support the master-slave regional protection and control business system.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127621269","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}
The elevator dispatching system is an organic part of the elevator transportation, which can guarantee the smooth, safe and effective operation of the elevator. China's traditional elevator scheduling system is mainly through the button to call the elevator. The traditional elevator group control method based on the minimum waiting time can not meet the overall demand of the elevator due to its single evaluation index, which leads to a series of problems such as low efficiency of elevator group control and poor joint mobility. In view of this situation, an intelligent elevator scheduling system based on image recognition and voice recognition is designed in this paper. Image recognition, voice recognition and Internet of Things are combined to increase the communication between elevator and passengers, as to improve the efficiency and comfort of passengers and reduce the energy consumption of elevator.
{"title":"Intelligent elevator scheduling algorithm based on image recognition and voice recognition","authors":"Xu Liu, Juntao Huang, X. Tang","doi":"10.1117/12.2639296","DOIUrl":"https://doi.org/10.1117/12.2639296","url":null,"abstract":"The elevator dispatching system is an organic part of the elevator transportation, which can guarantee the smooth, safe and effective operation of the elevator. China's traditional elevator scheduling system is mainly through the button to call the elevator. The traditional elevator group control method based on the minimum waiting time can not meet the overall demand of the elevator due to its single evaluation index, which leads to a series of problems such as low efficiency of elevator group control and poor joint mobility. In view of this situation, an intelligent elevator scheduling system based on image recognition and voice recognition is designed in this paper. Image recognition, voice recognition and Internet of Things are combined to increase the communication between elevator and passengers, as to improve the efficiency and comfort of passengers and reduce the energy consumption of elevator.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116527417","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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