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2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献

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Motion Information Image for Action Recognition 用于动作识别的运动信息图像
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778732
Yue Yan, Jianming Liu, Qin Cheng, Zhenshan Lu
{"title":"Motion Information Image for Action Recognition","authors":"Yue Yan, Jianming Liu, Qin Cheng, Zhenshan Lu","doi":"10.1109/ICSP54964.2022.9778732","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778732","url":null,"abstract":"The paper proposes an effective motion information computation method, called Motion Information Image, which can aggregate motion information of multiple frames into one frame to represent the dynamic process of compact motion in video for action recognition. Motion Information Image can adopt an average sampling strategy to represent the temporal modeling relationship of the video, which allows the clever conversion of motion information into image information. Besides, we use convolutional neural networks (CNNs) combined with Motion Information Image to build a new Motion Information Image network for end-to-end action recognition. The performance of the method is improved by 2.0%~3.0% in NTU RGB+D and NTU RGB+D 120 datasets with extensive experimental validation and exhibits significant advantages for recognizing fine-grained actions.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133806177","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
Simulation of ground-air integrated 5G networking adaptive anti-jamming technology 地空融合5G组网自适应抗干扰技术仿真
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778609
Xi Song, Xiaoqin Zhu, Yong Yang, Wenhui Li, Guoliang Ding, Renping Song, Shigang Duan
{"title":"Simulation of ground-air integrated 5G networking adaptive anti-jamming technology","authors":"Xi Song, Xiaoqin Zhu, Yong Yang, Wenhui Li, Guoliang Ding, Renping Song, Shigang Duan","doi":"10.1109/ICSP54964.2022.9778609","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778609","url":null,"abstract":"With the development of mobile communication technology, the power system communication system is also undergoing a transformation. The construction of an integrated air-ground network with wide area coverage, flexible deployment and strong disaster tolerance will change the operation mode of mobile communication in the future. Power consumption scenarios are complex, with many types of equipment and a wide range of distribution. Massive sensors and monitoring equipment need to be deployed. Due to the constraints of difficult coordination, severe signal interference, and poor reliability, it is difficult for each control system to make breakthrough progress. In order to build a stable and reliable Efficient communication systems further promote the development of power technology. After researching the power system environment, an adaptive anti-jamming technology for 5G networking based on a deep network is proposed. First, the model is used to obtain the parameters of the wireless signal transmission channel, and then a deep neural network is used to train an adaptive frequency hopping anti-jamming model, which can adaptively select the communication frequency band according to the communication environment. Experiments have shown that this technology can quickly and effectively select a stable communication frequency band according to the interference situation of the communication environment. When the signal-to-noise ratio is close to -18dB, the bit error rate is reduced by nearly 10 times compared with the traditional method, which further improves the communication efficiency. Reliability and stability of communication","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769969","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 relationship-first approach to joint entity relationship extraction 联合实体关系抽取的关系优先方法
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778528
Guan Bao, Guoxiong Wang, Gangle Li, Bo Zhang
{"title":"A relationship-first approach to joint entity relationship extraction","authors":"Guan Bao, Guoxiong Wang, Gangle Li, Bo Zhang","doi":"10.1109/ICSP54964.2022.9778528","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778528","url":null,"abstract":"Entity relationship extraction, which aims to extract semantic relationships between two entities from unstructured text, is a key step in building knowledge graphs. Existing works using entity-first phased joint extraction methods, which has achieved good results on the task of entity overlapping triad extraction, but all suffer from a large number of redundant operations severe exposure bias phenomenon. In response, this paper proposes a relationship-first joint extraction method that prioritizes the extraction of relationships between entities to avoid redundant computations, then uses conditional layer normalization to fuse a priori information to mitigate exposure bias, and finally uses the generation of entity expression vectors that fuse relationship information for relationship extraction. In the experimental part, the model performance is evaluated and analyzed, and the experimental results show that the method in this paper achieves 91.4% and 92.2% F1 values on both NYT and WebNLG datasets, which is better than the existing models.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745429","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 deep reinforcement learning based multiple meta-heuristic methods approach for resource constrained multi-project scheduling problem 基于深度强化学习的多元启发式方法研究资源约束下的多项目调度问题
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778702
Ziting Han, Yanlan Yang, Hua Ye
{"title":"A deep reinforcement learning based multiple meta-heuristic methods approach for resource constrained multi-project scheduling problem","authors":"Ziting Han, Yanlan Yang, Hua Ye","doi":"10.1109/ICSP54964.2022.9778702","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778702","url":null,"abstract":"In order to solve resource-constrained multi-project scheduling problem (RCMPSP) more efficiently, this paper proposes a deep reinforcement learning algorithm based multiple meta-heuristic methods that combines the advantages of discrete cuckoo search (DCS) and particle swarm optimization (PSO). In the process of population evolution, Deep reinforcement learning was used to select the most suitable meta-heuristic algorithm (DCS and PSO) according to the diversity and quality of the population, and the reward was designed according to the evolution effect, so as to guide the algorithm to update the solutions more effectively and find the optimal solution quickly. In addition, the key steps of the CS algorithm, Levy flight and random walk, are redefined in this paper. The task movement, reverse mutation, task list recombination and adaptive and repairable swap mutation are used to make it suitable for solving discrete RCMPSP problems and improve the convergence speed of DCS algorithm. Experimental results on the latest data set (MPLIB) demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114954676","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
Siamese tracker based on motion potential energy 基于运动势能的连体追踪器
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778626
Zhao-Qian Tang, Mingyang Liu, Yun Gao
{"title":"Siamese tracker based on motion potential energy","authors":"Zhao-Qian Tang, Mingyang Liu, Yun Gao","doi":"10.1109/ICSP54964.2022.9778626","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778626","url":null,"abstract":"Siamese trackers have been widely concerned recently. Though many trackers have obtained better performance when the target encounter fast motion or changes the direction of motion, most trackers still utilize the previous frame’s center to generate the center of the search box in the current frame, which may lead to loss of the tracked target. In this paper, we utilize the potential energy to the expended target detection region. Specially, we predict the search area of the current frame by analyzing the potential energy of the object’s historical frame. Abundant experiments show that our tracker with better robustness than most trackers on tracking benchmarks. Especially, the compared results show our tracker has an excellent performance in the fast motion challenge.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117124010","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
Gesture Recognition System Based on Improved YOLO v3 基于改进YOLO v3的手势识别系统
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778394
Ziwei Zhang, Bingbing Wu, Yulian Jiang
{"title":"Gesture Recognition System Based on Improved YOLO v3","authors":"Ziwei Zhang, Bingbing Wu, Yulian Jiang","doi":"10.1109/ICSP54964.2022.9778394","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778394","url":null,"abstract":"In order to realize the normal communication between the hearing impaired and the society, this paper combines the Raspberry Pi and YOLO v3 target detection to achieve the automatic human gesture recognition. The system consists of four parts: image acquisition and transmission module, image preprocessing, training recognition module, speech interaction and front-end display module. In this paper, we combine the image algorithm in OpenCV for image preprocessing, and propose a human gesture recognition system based on improved YOLOV3, to solve the problem of low accuracy and slow speed of the gesture recognition algorithm based on feature extraction in image recognition, and test it in different scenes. The experimental results show that the recognition accuracy of the system with the advanced algorithm is improved compared with that before. The gesture recognition accuracy of the system is around 90%, which means the recognition results are more reliable and can meet the real-time requirements.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262293","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: 4
Research on key technologies of wireless power transfer based on the time-reversal electromagnetic wave 基于时间反转电磁波的无线电力传输关键技术研究
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778399
Longyu Tan, Jifei Pan, Qiuxi Jiang, Fangzheng Liu, Qiuju Chen
{"title":"Research on key technologies of wireless power transfer based on the time-reversal electromagnetic wave","authors":"Longyu Tan, Jifei Pan, Qiuxi Jiang, Fangzheng Liu, Qiuju Chen","doi":"10.1109/ICSP54964.2022.9778399","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778399","url":null,"abstract":"Precise regional energy focusing is a key technology involved in wireless power transfer. This paper proposes an adaptive coherent signal generation technique based on the time-reversal electromagnetic wave. Firstly, the inherent characteristics of the time-reversal electromagnetic wave are investigated. Then, the process of regional energy focusing based on the time-reversal technology is modeled on a distributed platform. Finally, based on the traditional time-reversal electromagnetic wave generation pathway, two improved envelope inversion modes are studied and verified by simulation. The results show that the time-reversal signal generated by the proposed method can adaptively form energy focus at the target position, and the signal processing process is simple. Also, the proposed method has low complexity, and it can preserve the intra-pulse information of the original signal without distortion. These results show that the proposed method has strong practicability and feasibility.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117301122","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 a Portable Gel Physical Properties Analyzer 便携式凝胶物理性质分析仪的研究
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778491
Huan Yan, Weixin Gao, Feiyuan Yu
{"title":"Research on a Portable Gel Physical Properties Analyzer","authors":"Huan Yan, Weixin Gao, Feiyuan Yu","doi":"10.1109/ICSP54964.2022.9778491","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778491","url":null,"abstract":"Viscosity is an important physical property of gels widely used in the petroleum industry. In this paper, a non-contact and efficient measurement method is proposed. The motion process of the gel in the capillary is captured by a high-speed camera, and the gel image is obtained. Using the advantages of GPU in parallel computing, a corresponding image processing method is proposed. The physical viscosity measurement of four actual batches of gels shows that the method proposed in this paper can accurately obtain the actual physical properties, and the execution time of the method in this paper is significantly faster than the CPU serial method, which ensures the accuracy of the calculation of the physical properties of the analyzer. At the same time, the real-time performance of the calculation is improved.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116366013","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
Cloud-edge collaborative data processing architecture for state assessment of transmission equipments 面向传输设备状态评估的云边缘协同数据处理体系结构
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778298
Honghu Chen, T. Zhou, Chao Yang, Qiang Li, Bo Peng, Q. Cheng
{"title":"Cloud-edge collaborative data processing architecture for state assessment of transmission equipments","authors":"Honghu Chen, T. Zhou, Chao Yang, Qiang Li, Bo Peng, Q. Cheng","doi":"10.1109/ICSP54964.2022.9778298","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778298","url":null,"abstract":"In the process of asset status assessment, the power transmission intelligent Internet of Things (IoT) with smart towers as the core IoT nodes faces many problems such as large workload of physical information, poor data quality, large data processing delay and heavy cloud computing pressure. At the same time, traditional front-end sensing equipment is limited by the actual hardware computing power level and low power consumption requirements, which makes the front-end algorithm low in intelligence and consumes a lot of manual data verification. In view of the above problems, this paper proposes a cloud-edge collaborative data processing architecture suitable for transmission asset status assessment by combining big data framework, deep learning and edge computing technology. The architecture clearly divides the functions of the cloud, edge and data terminals based on the status assessment requirements of power transmission assets, and then divides a part of the data processing and analysis operations in the cloud to the edge, which reduces the computing pressure on the cloud and enhances resources utilization rate.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122021373","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
Attitude control of hypersonic morphing aircraft based on incremental backstepping sliding mode 基于增量反步滑模的高超声速变形飞行器姿态控制
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778601
Haodong Liu, Qingzhen Zhang, Langfu Cui, Xiaoxuan Han, Yue Yu
{"title":"Attitude control of hypersonic morphing aircraft based on incremental backstepping sliding mode","authors":"Haodong Liu, Qingzhen Zhang, Langfu Cui, Xiaoxuan Han, Yue Yu","doi":"10.1109/ICSP54964.2022.9778601","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778601","url":null,"abstract":"In order to ensure the attitude stability of hypersonic morphing aircraft in the deformation process, an attitude control scheme based on incremental backstepping sliding mode is proposed for the six-degree-of-freedom model of hypersonic morphing aircraft with nonlinear, strong coupling and external disturbance. The incremental backstepping sliding mode controller is designed based on the idea of incremental nonlinear dynamic inversion, and the external disturbance is compensated by combining the extended state observer. The effectiveness of the aircraft attitude control scheme based on incremental backstepping sliding mode is verified by numerical simulation. The simulation results show that the designed incremental backstepping sliding mode controller can eliminate the chattering phenomenon and ensure the attitude control performance of hypersonic morphing vehicle during deformation.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128315441","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
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