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2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)最新文献

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A Secure Communication Protocol between Sensor Nodes and Sink Node in Underwater Acoustic Sensor Networks 水声传感器网络中传感器节点与汇聚节点之间的安全通信协议
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9497907
Xiujun Yu, Hui-fang Chen, Lei Xie
{"title":"A Secure Communication Protocol between Sensor Nodes and Sink Node in Underwater Acoustic Sensor Networks","authors":"Xiujun Yu, Hui-fang Chen, Lei Xie","doi":"10.1109/ICAICA52286.2021.9497907","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9497907","url":null,"abstract":"Underwater acoustic sensor networks (UASNs) have been receiving more and more attention due to their wide applications and the marine data collection is one of the important applications of UASNs. However, the openness and unreliability of underwater acoustic communication links and the easy capture of underwater wireless devices make UASNs vulnerable to various attacks. On the other hand, due to the limited resources of underwater acoustic network nodes, the high bit error rates, large and variable propagation delays, and low bandwidth of acoustic channels, many mature security mechanisms in terrestrial wireless sensor networks cannot be applied in the underwater environment [1]. In this paper, a secure communication protocol for marine data collection was proposed to ensure the confidentiality and data integrity of communication between under sensor nodes and the sink node in UASNs.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115154071","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: 5
A method of dental model segmentation based on shortest path 一种基于最短路径的牙齿模型分割方法
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498189
Sisheng Wang, Jianchang Qi, Wei Wei
{"title":"A method of dental model segmentation based on shortest path","authors":"Sisheng Wang, Jianchang Qi, Wei Wei","doi":"10.1109/ICAICA52286.2021.9498189","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498189","url":null,"abstract":"To accurately extract the gum line of teeth from the three-dimensional dental model, a new method based on the traditional Dijkstra shortest path algorithm with Sigmoid curvature transformation is proposed in this paper. The curvature of each vertex of the dental model is transformed based on the sigmoid function, and each edge of the model is assigned with corresponding weight, then the shortest path representing the gum line of teeth is calculated. Also, a queue optimization and storage structure optimization strategy is used to make the algorithm implementation efficient. The experimental results show that the proposed tooth segmentation method can extract the gum line of tooth boundary accurately.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125425983","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
Long-Term Prediction of Clock Offsets Based on PSO-LSSVM* 基于PSO-LSSVM的时钟偏移长期预测*
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498016
Ninghu Yang, Jun Yang
{"title":"Long-Term Prediction of Clock Offsets Based on PSO-LSSVM*","authors":"Ninghu Yang, Jun Yang","doi":"10.1109/ICAICA52286.2021.9498016","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498016","url":null,"abstract":"In the autonomous operation mode, the ground station cannot monitor the clock offset of navigation satellite. In order to restrain the long-term drift of on-board time relative to the ground navigation system time, it is necessary to make long-term prediction of the navigation satellite clock to ensure the accuracy of the timing service. A Particle Swarm Optimization - Least Squares Support Vector Machine ((PSO-LSSVM) model is established for the long-term prediction of the navigation satellite clock offset. Taking the precise clock offset of GPS satellite as an example, it is proved that the satellite clock offset has long term memory by means of the rescaled range (R/S) analysis method, and it is pointed out that the sliding prediction mode is suitable for the satellite clock offset. Then the LSSVM prediction mode is established, and PSO algorithm is used to optimize the length of the input historical clock offset series and regularization factor. Finally, the PSO-LSSVM prediction model is compared with the Quadratic Polynomial (QP) model and the grey model (GM). The results demonstrated that the prediction accuracy of PSO-LSSVM was better than that of QP and GM models in 30 days, and the prediction error did not have significant time accumulation effect.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126644589","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
Intrusion Detection Model Based on SAE and BALSTM 基于SAE和BALSTM的入侵检测模型
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498102
Fan Jiajia, Xu Jiangfeng, Zhang Junfeng
{"title":"Intrusion Detection Model Based on SAE and BALSTM","authors":"Fan Jiajia, Xu Jiangfeng, Zhang Junfeng","doi":"10.1109/ICAICA52286.2021.9498102","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498102","url":null,"abstract":"To solve the problems of low detection accuracy, high false positive rate and unbalanced network data sets in the high-dimensional massive data environment of traditional intrusion detection model, an intrusion detection model based on improved Stack autoencoder (SAE) and bidirectional feature attention short-time memory network (BALSTM) is proposed. In the model, firstly, Smote-Tomek combined sampling algorithm is used to reduce the imbalance rate of data sets, and then batch standardization and early stop mechanism are used to improve SAE for feature extraction, which accelerates the convergence speed of the model and solves the over-fitting problem. Finally, an attention module is added to BLSTM, which enables BALSTM model to pay attention to context information and strengthen the learning of important features. Analysis and simulation results show that the model has better performance in accuracy and false alarm rate.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032931","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: 1
Research on the application of electronic technology in communication engineering under the background of big data 大数据背景下电子技术在通信工程中的应用研究
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498101
Zuoli Wang, Hengwei Zhang, D. Qi, Yuhao Tian
{"title":"Research on the application of electronic technology in communication engineering under the background of big data","authors":"Zuoli Wang, Hengwei Zhang, D. Qi, Yuhao Tian","doi":"10.1109/ICAICA52286.2021.9498101","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498101","url":null,"abstract":"Electronic communication technology is very critical to improve the quality of communication engineering. This paper discusses the application of electronic technology in communication engineering under the background of big data. The use of electronic technology in the allocation of communication engineering resources is mainly reflected in that the electronic communication resources can only be allocated, and the communication engineering resources can only be allocated through the model to ensure the efficient transmission of mass data in communication engineering. The application of electronic technology in communication engineering information transmission is mainly shown in the electronic control system. First, the noise reduction of communication engineering is processed by filtering device. Then, the controller is used to control the information transmission path of communication engineering to ensure the efficient transmission of communication engineering. In order to ensure the safe and stable operation of the integrated circuit in the communication engineering, the application of electronic technology in the communication engineering under the background of big data is discussed.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124757602","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: 1
Linear and nonlinear hierarchical modeling strategy for dynamic soft sensor 动态软传感器的线性和非线性分层建模策略
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498178
Guanyu Ouyang, Yang Xiao, Cong Wang, Wei Wei
{"title":"Linear and nonlinear hierarchical modeling strategy for dynamic soft sensor","authors":"Guanyu Ouyang, Yang Xiao, Cong Wang, Wei Wei","doi":"10.1109/ICAICA52286.2021.9498178","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498178","url":null,"abstract":"In real industrial process, linearity and nonlinearity often exist at the same time, which brings difficulty to the modeling of soft sensor in industrial process. In this paper, a linear and nonlinear hierarchical strategy is proposed for soft sensing of dynamic processes. First, a linear identification coefficient (LIC) is designed to measure the degree of linear correlation between input variables and output variables. Process variables are divided into linear variable group and nonlinear variable group. Then, we use dynamic partial least squares (DPLS) to build a linear model. In view of the prediction residuals of linear models, a long short-term memory (LSTM) model is established to fit them, so as to compensate for the failure of linear methods to capture nonlinear relationships. The validity of the method is proved by the experiment of three-phase flow. Compared with other linear and nonlinear models, the proposed method has better accuracy and clearer structure.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130487843","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 of Routing Protocols in Mobile Social Networks 移动社交网络中的路由协议研究
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498125
Liwei Huang, Yulin Chen, Hui Huang
{"title":"Research of Routing Protocols in Mobile Social Networks","authors":"Liwei Huang, Yulin Chen, Hui Huang","doi":"10.1109/ICAICA52286.2021.9498125","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498125","url":null,"abstract":"This paper studies four rooting protocols in mobile social networks, which are the Epidemic protocol, the SimBet protocol, the Prophet protocol and the Popularity-Aided protocol. The theories of the protocols are studied and the experiments are done. With the random waypoint model, the simulation is implemented and the performance is analyzed. Through the comparison of the four protocols, the advantages and disadvantages are analyzed, which provides a reference for MSNs.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130506620","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
CTR Prediction Model Considering the Importance of Embedding Vector 考虑嵌入向量重要性的CTR预测模型
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498074
Xiujin Shi, Yang Yang, Chen Tao
{"title":"CTR Prediction Model Considering the Importance of Embedding Vector","authors":"Xiujin Shi, Yang Yang, Chen Tao","doi":"10.1109/ICAICA52286.2021.9498074","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498074","url":null,"abstract":"Click-through rate (CTR) prediction plays an important role in industrial bidding advertising. Most of the deep CTR models focus on the interaction problem of capturing features after embedding layer, such as PNN, NFM, DeepFM and xDeepFM. Few models consider the importance of features before feature interaction. The ECA module proposed in CVPR2020 computer vision is an extremely lightweight plug and play module, which is used to improve the performance of various deep CNN architectures. This paper introduces the idea of ECANET to modify the model embedding layer to dynamically learn the importance of embedding features and construct a new deep CTR prediction model. ECANET and NFM model are combined to build a novel model ECANFM. The effectiveness of the model is verified by a comparative experiment on a public data set.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131145086","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: 2
Research and Application of SPC in Process Quality Control of Tobacco Industry SPC在烟草工业过程质量控制中的研究与应用
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498162
Wenlong Jin, J. Qian, Qingsong Zhang, Xuefeng Gao, Yuangen Xu
{"title":"Research and Application of SPC in Process Quality Control of Tobacco Industry","authors":"Wenlong Jin, J. Qian, Qingsong Zhang, Xuefeng Gao, Yuangen Xu","doi":"10.1109/ICAICA52286.2021.9498162","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498162","url":null,"abstract":"Statistical process control (SPC) technology is a modern process quality management technology integrating production technology and scientific management. It uses the principle of probability theory of mathematical statistics and applies statistical methods to monitor each stage of the production process. It can find the abnormal situation in the production process in time and take measures to improve it in time, so as to achieve the purpose of improving and ensuring the quality. In the tobacco industry, SPC is introduced for process quality control, and Plato, three-phase control chart, columnar bubble chart and other quality control tools are used to monitor, analyze and judge whether the cigarette production process is in a stable and controllable state, and measure and record the process quality, so as to effectively control and manage the quality process, and ultimately greatly improve the production quality management level.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640934","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 of charging route planning model for wireless rechargeable sensor network based on simulated annealing algorithm and linear programming 基于模拟退火算法和线性规划的无线可充电传感器网络充电路径规划模型研究
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498050
Pengxiang Dong
{"title":"Research of charging route planning model for wireless rechargeable sensor network based on simulated annealing algorithm and linear programming","authors":"Pengxiang Dong","doi":"10.1109/ICAICA52286.2021.9498050","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498050","url":null,"abstract":"Wireless rechargeable sensor network includes three parts: data center DC, sensor and mobile charger MC. The work of sensor requires battery to provide energy. Based on this, this paper focuses on how to design a reasonable charging circuit for a single mobile charger starting from the data center, and the minimum capacity of the battery to ensure the normal operation of each sensor, and thus expand to multiple mobile chargers. In the case of a mobile charger, in order to minimize the energy consumption of the mobile charger on the road, the driving distance of the mobile charger should be minimized. The paper use the earth's radius and longitude and latitude of each sensor can calculate the distance between each sensor, thus the problem can be converted to a given weighted network diagram to find starting from the data center will all vertices in the network graph traversal only again back to the data center makes the problem of shortest distance, the simulation using the simulated annealing algorithm, thus it is concluded that the optimum route scheme. And then normal operation of the system need to make sure that the process of finish a lap mobile charger after the sensor has not less than the minimum battery capacity as the constraint condition, the multi-objective problem to single objective problem, the simplified calculation is further transformed into linear programming problems, setting up reasonable charging rate r, movement speed v, battery capacity low f, sensor is obtained by solving our minimum battery capacity.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130757420","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
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