{"title":"Construction and evaluation of risk prediction model for Alzheimer's disease: Application of regression analysis methods","authors":"Yanzhao Wang, Fengsen Dong, Hui Qi, Ying Chen, Weiwei Li, Guohua Qin","doi":"10.1109/EEI59236.2023.10212568","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212568","url":null,"abstract":"With the aging of the population, the number of Alzheimer's patients is increasing exponential growth. According to statistics, there are approximately 200 million elderly people aged 60 and above in China, of which 5 to 7 million are affected by Alzheimer's disease. This makes the disease the “king of diseases” that current society needs to focus on. Therefore, early prediction of Alzheimer's disease is particularly important. The existing models that have undergone neuropsychological testing, imaging, and biomarkers are progressing slowly and have significant limitations. Regression methods have significant advantages in predicting Alzheimer's disease by considering multiple variables, establishing quantitative relationship models, and conducting variable selection and validation in the construction of complex disease prediction models. This article evaluates the early prediction of Alzheimer's disease by constructing a regression algorithm model [1].","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126174278","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":"Mel Spectrum Feature Recognition Based on Adaptive Center Frequency","authors":"Yan Huang, Xiaopeng Kong, Minzhang Xu","doi":"10.1109/EEI59236.2023.10212547","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212547","url":null,"abstract":"The key to underwater acoustic target recognition is to extract the line spectrum feature of the ship target. The perception of auditory features by the Mel spectrum is similar to the human ear, and the expression is apparent in the low-frequency bands, suitable for feature extraction. However, the traditional Mel filter has fixed structural parameters and is not sufficiently associated with the sample. Based on this, we propose an adaptive Mel spectrum generation method based on deep learning methods. The relationship between the center frequency of the Mel filter bank and the sample data is established using the data-driven approach based on the computing power of the neural network. In order to verify the effectiveness of this method, comparative experiments were carried out in the final part. The results showed that compared with the traditional Mel spectrum, the accuracy of the adaptive Mel spectrum proposed in this paper was increased by 4.2%, which verified its practicability and feasibility in feature extraction.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127394271","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 method for radar time-frequency image data detection based on an improved YoloV4 network","authors":"J. Zhang, Zhi-yong Song, P. Wang","doi":"10.1109/EEI59236.2023.10212705","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212705","url":null,"abstract":"In sea surface target detection missions, due to the variable weather conditions at sea, the complex and variable surges formed in adverse weather conditions make target detection difficult, and radar sensors are widely used based on their ability to reliably detect targets in all adverse weather conditions. Sea clutter is defined as the backscattered echoes formed by radar irradiation onto the sea surface. Detection of small targets on the sea surface in the background of sea clutter is usually faced with unfavourable factors such as low signal-to-noise ratio. This thesis proposes a method for radar time-frequency image data detection based on an improved yolov4 network, which can perform the task of sea surface target detection better and can achieve an accuracy of 90.11% on the measured radar time-frequency image dataset, outperforming similar classical deep learning methods, and ablation experiments are done to demonstrate the effectiveness of the improvement.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128919528","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":"Multi-ant Colony Based QoS Networking Algorithm for Hybrid Power Line and Wireless Communication Networks","authors":"Bo Long, Fei Du, Xiongwen Zhao, Wei Bai","doi":"10.1109/EEI59236.2023.10212589","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212589","url":null,"abstract":"The hybrid wireless and power line communication (PLC) technology greatly improves the reliability of Power Internet of Things network (IoT) and the access ability of the terminals. However, with the development of Power IoT, the topology structure of the network becomes exceedingly complex, and the difficulty of networking is also gradually increasing. To address this issue, this paper proposes a multi-ant colony (MACS) based QoS networking algorithm for hybrid PLC and wireless communication networks. Considering the network QoS parameters and service demands, the networking algorithm constructs the fitness function to evaluate the quality of communication transmission paths, and the MACS algorithm is employed to establish the optimal relay route to complete networking. Numerical results prove that the MACS algorithm has a superior ability to jump out of local optimum than the traditional improved ant colony system (IACS) algorithm. Moreover, our proposed algorithm can construct the optimal relay route under corresponding constraints and demands according to different types of services.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131057933","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":"Substrate Integrated Waveguide Wideband Bandpass Filter Based on Spoof Surface Plasmon Polariton","authors":"Qiaochu Li, Shan Wu","doi":"10.1109/EEI59236.2023.10212560","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212560","url":null,"abstract":"Based on the analysis of the dispersion characteristics of substrate integrated waveguide (SIW) and spoof surface plasmon polariton (SSPP), two hybrid planar SIW-SSPP wideband bandpass filters are designed using the high-pass characteristics of SIW and low-pass characteristics of SSPP to achieve flexible upper and lower sideband control as well as ultra-wideband characteristics. The first filter is an ultra-wideband bandpass filter designed based on the hybrid SIW-SSPP structure, in which the upper and lower cutoff frequencies can be independently controlled by adjusting the structure parameters of the SSPP unit and SIW unit, respectively. The passband ranges from 6.75GHz to 11.88GHz, and the return losses are all less than -11.5dB. The second filter is an improved version of the first filter, in which a pair of complementary splitring resonators are introduced on the front and back of the substrate to insert a transmission zero within the passband, achieving the characteristics of dual passbands. The return losses are all less than -15dB. Simulation results show that the designed filters have sharp out-of-band rejection, compact structure, and good filtering performance, which proves their feasibility.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114083376","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":"Flexible Beamforming for Millimeter-Wave UAV Communications with Power Distribution","authors":"Jingyi Peng, Yuhong Wang","doi":"10.1109/EEI59236.2023.10212563","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212563","url":null,"abstract":"In the realm of future air-to-ground networks, unmanned aerial vehicle (UAV) communications hold immense promise, offering numerous advantages such as high capacity, extended transmission distance, and expansive coverage range. The dynamic nature of UAV operations, necessitating frequent changes in target coverage areas, underscores the need for flexible beamforming techniques. In this context, millimeter-wave (mmWave) beamforming employing phased-array systems emerges as the optimal choice for UAV communications, given its compact form factor and efficient power utilization. This paper delves into the exploration of a flexible beamforming technique tailored specifically for mmWave UAV communications. The primary objective is to achieve coverage over arbitrary areas with varying power distribution to cater to diverse user requirements. To expand the design possibilities for beam shape, an additional phase component is introduced, enabling the realization of flexible coverage. Through extensive simulations, we validate the efficacy of our proposed approach, showcasing its ability to deliver adaptable beam coverage for a wide array of target areas.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124914912","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":"Edge Detection Algorithm for Power Operation Monitoring Video Based on AI Technology","authors":"Jinzhu Liu, Ziliang Ma, Xuan Zhang, Sida Ma","doi":"10.1109/EEI59236.2023.10212430","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212430","url":null,"abstract":"In this paper, a video edge detection algorithm based on AI technology is presented to improve the accuracy of power operation safety monitoring. Firstly, the block and low rank tensor recovery video denoising algorithm is used to filter out internal noise in videos, which improves video clarity and makes video edge information more prominent. Secondly, the proximal support vector machine (PSVM) is used to detect the edges of denoised videos, thereby improving the effectiveness of video edge detection. The experimental results show that the proposed algorithm outperforms other algorithms in video edge detection, further ensuring the safety of power operations.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131514050","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 Map Construction of Multi-source Heterogeneous Power Grid Data Fusion in the Power Internet of Things Environment","authors":"Xixiang Zhang, Qi Meng, Hanhua Huang","doi":"10.1109/EEI59236.2023.10212949","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212949","url":null,"abstract":"In order to realize the dynamic monitoring of multi-source heterogeneous power grid data in the power Internet of Things environment, it is necessary to construct the knowledge map. A knowledge map construction method of multi-source heterogeneous power grid data fusion in the power Internet of Things environment based on the combination and correction of re labeling method and projection method is proposed, and the knowledge clustering map features of multi-source heterogeneous power grid data generated by the basic clustering algorithm are used. The phase space reconstruction of multi-source heterogeneous power grid data is realized by projection method, and the subspace noise reduction and feature clustering model of multi-source heterogeneous power grid data in the power Internet of Things environment is established by combining the method of identification of grid connected installed capacity parameters. According to the probability distributed reorganization of the set of discrete variables of multi-source heterogeneous power grid data, the output status of multi-source heterogeneous power grid data at different times is calculated. According to the fusion method of state distribution difference, the dynamic correction and adaptive feedback adjustment of power grid data are realized by using the combination and correction method of re marking method and projection method to improve the accuracy of heterogeneous reconstruction of the knowledge map. The simulation test results show that this method can be used to construct the knowledge map of multi-source heterogeneous power grid data fusion, which has a good ability to express the internal structure information parameters of power grid data, a strong noise reduction performance for redundant data, and improves the dynamic monitoring and evaluation ability of power grid data.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116522780","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":"Study on Influence of Impedance Parameters of Multiplier Element in Equivalent Model of Wind Farm","authors":"Hanyue Wang, Jianzhong Xu","doi":"10.1109/EEI59236.2023.10212872","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212872","url":null,"abstract":"In view of the research status that multiplier element is widely used in wind farm modeling, but the parameter setting lacks regularity, this paper studies the influence of multiplier element impedance parameters in wind farm equivalent modeling. Firstly, this paper starts with a multiplier element on the official website to analyze the relationship of each self-defined impedance parameter. Secondly, several wind farm models were built and equivalent aggregation was carried out. Through parameter traversal test in PSCAD/EMTDC environment, the influence of impedance parameters of the multiplier element on equivalent error of steady-state operating point at the junction point was studied, and a method of impedance parameter selection was proposed based on equivalent error. Finally, the influence of the impedance parameters of the multiplier element on the robustness of the model was studied, and it was found that the increase of the impedance amplitude would lead to the decrease of the upper limit of the simulation time step. In this paper, reference suggestions are provided for the parameter setting of impedance of multiplier element in modeling and simulation of large wind farms from two aspects of equivalent error and model robustness.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121860469","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}
Yingli He, H. Ge, Xiaoyan Qi, Huisheng Gao, Huixuan Wang, Dongsheng Han
{"title":"Latency characteristics analysis of express frames in TSN frame preemption","authors":"Yingli He, H. Ge, Xiaoyan Qi, Huisheng Gao, Huixuan Wang, Dongsheng Han","doi":"10.1109/EEI59236.2023.10212759","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212759","url":null,"abstract":"The frame preemption mechanism in Time-Sensitive Networking can effectively improve the transmission latency performance of express frames. However, in different network operating environments, express frame latency presents complex dynamic characteristics. In response to the complexity of express frame latency characteristics under frame preemption conditions, this article first analyzes the operation principle of the frame preemption mechanism and provides a calculation method for the latency of express frames. Then, considering the impact of link utilization and preemptable frame length on the average latency of express frames, we design a simulation analysis algorithm for the latency characteristics of express frames. Finally, using the proposed algorithm, we analyze the average latency, latency randomness, jitter, and latency boundary characteristics of express frames. The research results are valuable for engineering reference for the effective application of the TSN network frame preemption mechanism.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132737251","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}