2022 4th International Conference on Intelligent Information Processing (IIP)最新文献

{"title":"Optimized Deep Forest Emotional Awareness Recognition Based on EEG Rhythm Characteristics","authors":"Jiaqing Yan, Jinzhao Deng, Dan Li, Zhou Long, Wenhao Sun, Weiqi Xue, Qingqi Zhou, Gengchen Liu","doi":"10.1109/IIP57348.2022.00014","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00014","url":null,"abstract":"Emotion is the psychological and physiological response of human to external things, and occupies an important place in the study of human-computer interaction. Electroencephalogram (EEG) is a physiological signal that is widely used in the field of emotion awareness recognition. EEG signals can be divided into 5 basic rhythms according to frequency, and most of the existing research on emotion awareness recognition based on EEG signals directly processes the rhythms and extracts the corresponding features. This method is easy to lose the rhythm information and cannot give full play to its function. Therefore, in this study, we propose an optimized deep forest emotion awareness recognition method based on EEG rhythm characteristics to investigate the effect of rhythms on emotion awareness recognition performance. Firstly, we classify EEG rhythms into 3 types of rhythm combinations: single rhythm, compound rhythm and full rhythm according to the principle of adjacent combination, and fully consider various combination forms of rhythms; Secondly, we construct a two-dimensional input model to retain the spatial information of multi-channel EEG signals; Finally, we use the gcForest classification model for emotion recognition, which does not require feature extraction and maximizes the retention of rhythm information. We conducted extensive experiments on the DEAP dataset, and the experimental results show that the frequency band and number of rhythms affect the performance of emotion recognition, and the high frequency band rhythms have better emotion classification performance compared with the low frequency band rhythms, among which the $beta$ rhythms are higher than the Y rhythms in validity and arousal dimension, and their classification accuracy is 96.711% and 96.633%; the classification accuracy of compound rhythms was higher than that of single rhythms, but a higher number of compound rhythms does not necessarily lead to better emotion classification performance, where in the arousal dimension, compound rhythms $((mathrm{x}+beta+gamma)$ have better awareness emotion recognition performance compared to full rhythms $((+mathrm{t}mathrm{K}+beta+gamma)$, with 97% classification accuracy.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122423874","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}

{"title":"Research on the realization of multilingual speech synthesis and cross-lingual sound cloning in Tibetan","authors":"Guangming Li, Guanyu Li, Yugang Dai, Zhihao Song, Lin Meng","doi":"10.1109/IIP57348.2022.00026","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00026","url":null,"abstract":"Speech synthesis technology has achieved rapid development in recent years, and the speech synthesized has reached a very high level of intelligibility and naturalness. However, once the speech to synthesize is mixed with words from other languages, the quality of the speech will be greatly compromised. Imagine how great it would be if one can hear foreign place names pronounced in the corresponding language very smoothly when navigating. Given that most of us can only speak one or two foreign languages due to time constraints, it would make a big difference to speak a foreign language in your voice. Implementing it using the existing monolingual model has difficulty in collecting sound data from someone who speaks different languages at the same time. Using only monolingual corpora, our model can do a good job of cloning one person’s voice and realizing code-switching. The parameters of the encoder are generated by a separate network based on a specific language vector, the parameter generator module consists of several specific parameter generators, each of which takes a language vector as input to generate the parameters of a layer of an encoder in a given language and to complete the sound cloning, we use an adversarial speaker classifier to eliminate specific speaker information in model training and the information will be going back in the synthesis. Our model performs very well on code-switching task and can synthesize high-quality speech with high accuracy.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122623152","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}

{"title":"Neural Network Modeling of Nonlinear Systems Based on Extreme Learning Machine","authors":"Yishan Gong, Linzhu Wang","doi":"10.1109/IIP57348.2022.00086","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00086","url":null,"abstract":"This paper studies the intelligent modeling method of the whole nonlinear systems, and proposes an improved modeling method based on the forgetting factor recursive least squares method and extreme learning machine. First, establish a nonlinear discrete general-purpose systems model with universality the higher-order and lower-order separation and then rolling optimization identification are established. The unmodeled part of extreme learning machine (ELM) is backward calculated using low-order recursive least squares identification (FFRLS). The linear error is compensated by extreme learning machine. Finally, the alternating identification is carried out under the external error criterion, so as to realize the hybrid intelligent modeling of nonlinear system. This method can overcome the influence of the modeling error of the controlled object and the uncertainty of the structure. Dual networks make the identification of complex systems more organized and simple, and make the identification process is faster and more accurate. Experimental comparative analysis results prove the effectiveness and university of the proposed identification method.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114468552","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}

{"title":"Building an onboard high-performance computing platform based on SpaceWire and SpaceFibre","authors":"Weiwei Liu, Bowen Cheng, Yalong Pang, Y. Niu","doi":"10.1109/iip57348.2022.00066","DOIUrl":"https://doi.org/10.1109/iip57348.2022.00066","url":null,"abstract":"This paper proposes the use of SpaceWire and SpaceFibre to jointly build a high-speed and low-speed hybrid satellite-based integrated information transmission network, and an open and distributed high-performance computing platform is designed and implemented. The built high performance computing platform is designed based on SpaceVPX architecture, so that SpaceWire and SpaceFbire serve as both the network for information transmission between the entire satellite equipment and equipment, and as a ”virtual backplane” to realize the information transmission between the hardware modules within the high-performance computing platform. Through the mutual cooperation and seamless connection between SpaceWire and SpaceFbire, the granularity of parallel computing of the on-board information system is refined from equipment to hardware modules, while with the design ideas of software-defined network and software-defined hardware, the hardware modules in physically different locations of the equipment are further formed into a logically integrated global information processing cluster to achieve the goal of multi-use and parallel reuse of the high performance computing platform with computing tasks assigned on demand and hardware modules enabled on demand. The goal is to lay the foundation for deep integration and linkage between satellite platforms and payload devices to meet the autonomous information processing and intelligence generation of satellites in orbit.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"600 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117076473","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}

{"title":"A real-time smoke early warning method based on spark and improved random forest","authors":"Bowen Wang, Jan Zheng","doi":"10.1109/IIP57348.2022.00087","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00087","url":null,"abstract":"In order to control and prevent fires in advance and effectively reduce the adverse effects of fires, this paper proposes a smoke early warning method based on spark and an improved random forest model. On the basis of the existing Internet of Things acquisition equipment, the real-time reception of the collected data is realized through spark streaming, and the collected data is persisted, and the trained model is used to judge the smoke early warning. The model established by this method is an improved random forest implementation based on the dragonfly optimization algorithm based on the samples collected in various environments. In the data preprocessing, the problem of data imbalance was found in the data set, and the oversampling method was used to solve it. Then this paper analyzes the problems in cross validation after data oversampling and proposes KSMOTE algorithm to solve this problem, which effectively improves the classification ability of the model. The experimental results show that the system has good real-time performance and accuracy.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491249","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}

{"title":"Copula entropy-based PCA method and application in process monitoring","authors":"Yingpeng Wei, L. xilinx Wang","doi":"10.1109/iip57348.2022.00019","DOIUrl":"https://doi.org/10.1109/iip57348.2022.00019","url":null,"abstract":"As an effective unsupervised data feature extraction algorithm, principal component analysis (PCA) has been successfully applied in multivariate statistical process monitoring. The PCA algorithm obtains the principal components through the maximum variance criterion, which is limited to the linear correlation between feature variables. Therefore, it cannot accurately measure the strength of the correlation between the nonlinearly related feature variables. Based on this, a method of Copula entropy-based PCA (CEPCA) is proposed and applied to process monitoring. Compared to the traditional PCA feature extraction approach, the Copula entropy method is used to calculate the mutual information between the feature variables. The covariance matrix is derived from the mutual information matrix, then the corresponding statistics can be constructed in the principal component space and the residual subspace, respectively. The effectiveness and superiority of CEPCA in process monitoring is verified with the Tennessee Eastman (TE)process.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115758476","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}

{"title":"Knowledge and Experience Guided Heterogeneous Multi-UAV Mission Planning Method","authors":"Weijiang Zhou, Hongxing Zheng, Xudong Xie","doi":"10.1109/IIP57348.2022.00090","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00090","url":null,"abstract":"Heterogeneous multi-UAV mission planning, as the action guidelines of the team, can effectively improve the operational efficiency and mission revenue of the UAV team. Aiming at the mission planning problem of heterogeneous multi-UAV systems, a heuristic planning algorithm based on knowledge and experience guidance is proposed. Guiding the search direction of the algorithm through prior knowledge and optimizing experience, the optimization effect of the algorithm in complex decision space and large-scale mission planning problems can be improved. Finally, detailed simulation experiments are carried out to verify the effectiveness of the proposed algorithm.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115837294","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}

{"title":"Modeling of emergency logistics system based on complex network theory","authors":"Boyu Feng, N. Zhang, Zhihao Zhang, Lei Zhang","doi":"10.1109/IIP57348.2022.00072","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00072","url":null,"abstract":"The emergency logistics system is the necessary support to ensure the basic needs of the people in the event of natural disasters, major epidemics and local wars. It involves a variety of subjects and needs the wide participation of all sectors of society. In order to study the relationship between its internal elements, this paper uses the complex network theory to carry out research. Based on the analysis of the basic network model and the characteristics of emergency logistics system, three independent complex network models of material demanders, material manufacturers and raw material suppliers are established, as well as a three-layer dependent network model after the coupling relationship between the three is established. The relevant research in this paper will provide a theoretical reference for the study of the characteristics of the emergency logistics system, and lay a model foundation for the scientific study of the relationship between the elements in the system.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126160073","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}

{"title":"Research and Analysis on Network Model of Enterprise Technology Research and Development and Innovation Based on STATA Software","authors":"Fei Yu, Wenjing Wu","doi":"10.1109/IIP57348.2022.00083","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00083","url":null,"abstract":"With the rapid development of the information economy and the Internet, how to make full use of their own information networks has become a hot and difficult point in contemporary research. In order to solve this difficulty, this paper combines the knowledge memory network system, applies the data of listed companies in China’s high-tech industry to establish an econometric model, and further uses the STATA software for analysis to obtain the impact of enterprise technology independent research and development mode on innovation speed and how enterprises should apply information network systems. The conclusion shows that the research and development of technology is positively related to the innovation speed of enterprises, and the organizational memory ability positively regulates the relationship between technology research and development and innovation speed. So enterprises should improve organizational memory and enrich information network systems. Through model establishment and software analysis, this research enriches the management of technological innovation of enterprises and solves the problems of information network application, and provides a basis for intelligent decisionmaking of enterprises.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120908781","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}

{"title":"A Fast 3D Multi-Object Tracking Method Based On Motion and Appearance Features","authors":"Jingyi Xu, Zhian Zhang","doi":"10.1109/IIP57348.2022.00079","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00079","url":null,"abstract":"3D-MOT(3D multi-target tracking) is an important direction in the research of autonomous driving and intelligent robots, which can provide a rich and reliable dynamic representation of environment for modules such as path planning. This paper proposes a 3D-MOT method that fuses 3D and 2D input data. This method takes into account the motion characteristics and appearance characteristics of the target during the data association process, and uses the Kalman filter to predict the target in 3D and 2D space respectively. State, and proposed a target motion similarity measurement method that integrates motion features in different spaces; at the same time, this method also designed a network for extracting the apparent features of the detected target, and based on this, proposed a similarity feature Finally, an integrated similarity calculation method integrating motion similarity and apparent similarity is proposed for data association. On the basis of ensuring various tracking indicators as much as possible, the purpose of 3D multitarget tracking is achieved with a small amount of calculation, which can meet the real-time algorithm requirements of service robots and other platforms with low detection accuracy and limited computing power.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"62 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120933289","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}