Yuxin Wang, Yuanyuan Xie, Xiangmin Ji, Ziao Liu, Xiaolong Liu
{"title":"RacPixGAN: An Enhanced Sketch-to-Face Synthesis GAN Based on Residual modules, Multi-Head Self-Attention Mechanisms, and CLIP Loss","authors":"Yuxin Wang, Yuanyuan Xie, Xiangmin Ji, Ziao Liu, Xiaolong Liu","doi":"10.1109/ICECAI58670.2023.10176715","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176715","url":null,"abstract":"In this paper, we present an enhanced model to overcome the drawbacks of the traditional Pix2pix GAN (Image-to-Image Translation with Conditional Adversarial Networks) in generating performance for sketch-to-face synthesis. This model integrates residual modules and multi-head self-attention mechanisms. Additionally, to enhance the model’s generative capabilities in sketch-to-face synthesis tasks, we introduce a brand-new loss function called CLIP (Contrastive Language-Image Pretraining) Loss. We begin by providing a comprehensive overview of the key theories and techniques for our model. Then, we empirically test the upgraded model and contrast it with the traditional Pix2pix GAN. The experimental outcomes demonstrate that the new model significantly outperforms the traditional Pix2pix GAN in terms of generating performance for sketch-to-face synthesis tasks, supporting the idea that adding residual modules and multi-head self-attention mechanisms can significantly improve the generator’s performance in such tasks. The addition of CLIP Loss has also been shown to improve the quality of image generation.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123572641","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":"An Ad Hoc Network Communication Method Based on High-speed Frequency Hopping","authors":"Yuanjian Qi, Lianghai Li","doi":"10.1109/ICECAI58670.2023.10176707","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176707","url":null,"abstract":"A communication method for ad hoc networks based on frequency hopping technology is proposed to address the difficulty of designing time slots in the protocol design of frequency hopping ad hoc networks. Starting from the ovserall design and technical specifications of the network architecture of the frequency hopping ad hoc network communication system, the network topology and network layer time slot structure of the system are first discussed in detail. Then, the synchronization process of the system network layer was elaborated and designed in detail. Finally, detailed discussions and designs were conducted on network design details such as time slot allocation, cluster head selection, data relay forwarding, and node dropout.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"52 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121071522","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 Medical Pre-diagnosis Scheme Based on Neural Network and Inner Product Function Encryption","authors":"Xu Cui, Hao Liu, Min Tang, Yihong Ma","doi":"10.1109/ICECAI58670.2023.10176838","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176838","url":null,"abstract":"Artificial neural networks are widely used in various fields, such as intelligent road networks, Internet of Things, and smart medical systems due to their ability to process large amounts of data in parallel, store information in a distributed manner, and self-organize and self-learn. Cloud computing technology has further expanded the development of neural network applications. However, user data often contains sensitive information, and once the data management right is transferred to the cloud, it faces serious security and privacy issues. In the medical field, privacy-preserving implementation of classification algorithms is crucial for ensuring the privacy of electronic medical diagnosis services. Current privacy-preserving medical pre-diagnosis schemes based on homomorphic encryption impose a significant computational and communication burden on users and servers. This paper proposes an efficient privacy-preserving medical pre-diagnosis scheme based on neural networks and inner product function encryption that protects user privacy during pre-diagnosis while having small computational and communication overheads.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130574822","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}
Shuaihua Gao, Jianhua Zhang, Chuanghai Wang, Chengxin Wang
{"title":"Research on Unmanned Aerial Vehicle Target Tracking Based on Kernel Correlation Filter and Kalman Filter","authors":"Shuaihua Gao, Jianhua Zhang, Chuanghai Wang, Chengxin Wang","doi":"10.1109/ICECAI58670.2023.10176523","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176523","url":null,"abstract":"In UAV (Unmanned Aerial Vehicle) target tracking, due to the complexity of the ground scene, it brings great interference to target detection and tracking. Therefore, a method based on kernelized correlation filter (KCF) is introduced for the tracking of UAV targets. The response peaks of inaccurate tracking are statistically counted to find the relationship between tracking anomalies and response peaks. When the tracking abnormality is judged, the Kalman filter is used to predict and update the target to achieve normal tracking. By testing the UAV videos downloaded from the Internet, it is shown that the established tracking algorithm can solve the problem of error tracking caused by complex environment, and the tracking effect is improved.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480394","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":"Absolute Bandwidth-stabilized S-band Tunable Bandpass Filter","authors":"Man Shi, Shengxian Li, Shuang Li","doi":"10.1109/ICECAI58670.2023.10176592","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176592","url":null,"abstract":"This paper reports on a frequency tunable bandpass filter with a constant absolute bandwidth that operates in the s-band. Two half-wavelength resonators loaded with varactor diodes are controlled by the same bias. Hence, the control circuit is user-friendly and has high engineering applicability. In addition, the use of a coupling structure to feed the resonator reduces insertion loss. The coupling coefficient between the two resonators is determined by a combination of electrical and magnetic coupling to achieve the requirement that the absolute bandwidth of the passband remains constant during frequency tuning. According to the measured data, the filter achieves -3dB absolute bandwidth of 140MHz ± 3MHz in the passband. adjustable range is 2.49GHz~1.99GH. in the tuning process, the insertion loss is better than 2.82db and the return loss is greater than 10db.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122375396","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":"Reference-frame-independent measurement device-independent quantum key distribution with heralded single-photon sources","authors":"Jun Lu, Wenhe Zhuo, Liangjie Cui, Zhenwei Li, Junjie Ma, Yuxiang Bian, Chunhui Zhang","doi":"10.1109/ICECAI58670.2023.10177006","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10177006","url":null,"abstract":"Quantum cryptography has a strong security that classical cryptography cannot match, and quantum key distribution (QKD) is the most important method of quantum cryptography. Reference-frame-independent measurement-device-independent QKD (RFI-MDI-QKD) protocol can avoid the drift of the reference frame and all side channels of measurement devices. However, RFI MDI-QKD usually employs a weak coherent state (WCS) as the light source, which limits the transmission distance of secure keys. Here, by using heralded single-photon sources, we investigate an improved decoy-state RFI-MDI-QKD scheme. We perform numerical simulations for the scheme under different scenarios, such as considering the finite size and different drift angles. Compared with the scheme with WCS, our scheme can significantly improve the transmission distance of RFI-MDI-QKD.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127195867","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":"ICECAI 2023 Cover Page","authors":"","doi":"10.1109/icecai58670.2023.10177000","DOIUrl":"https://doi.org/10.1109/icecai58670.2023.10177000","url":null,"abstract":"","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132704848","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":"Shared Bike Demand Prediction Based on Combined Deep Learnings","authors":"Chuanxiang Ren, Hui Xu, Chunxu Chai, Fangfang Fu","doi":"10.1109/ICECAI58670.2023.10176751","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176751","url":null,"abstract":"The shared bike demand prediction can support shared bike scheduling activities and provide more convenient services for users. In this paper, a combined deep learning model, i.e., CNN-GRU-Attention model, is established. The model uses CNN network to extract local features of shared bike demand, GRU network to make predictions, and attention mechanism to extract important features. The parameters such as the number of neurons in the model are set experimentally. The simulation results show that the model has higher accuracy compared with other baseline models. It can fit the demand trend of shared bikes well and has good performance.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117320394","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}
Yang Yu, Jiangchen Zhang, Hongping Lin, Quanwen Fang
{"title":"A Green Energy Efficient D2D Cooperative Communication","authors":"Yang Yu, Jiangchen Zhang, Hongping Lin, Quanwen Fang","doi":"10.1109/ICECAI58670.2023.10176468","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176468","url":null,"abstract":"Green communication is an important development trend in the wireless communication industry. Its main purpose is to minimize the energy consumption of communication systems while ensuring the quality of service for the users. For wireless communication networks, especially in today’s large-scale commercialization of 5G, optimizing the battery consumption of mobile phone terminals and extending the network lifetime is the focus of green communication. Based on green communication, this paper proposes a wireless resource allocation scheme in a D2D cooperative communication scenario. This scheme can not only assist cell users in completing data transmission but also provide transmission opportunities for D2D terminals. It can significantly reduce terminal energy consumption and extend network lifetime.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132116666","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 review of visible single target tracking based on Siamese networks","authors":"Wenji Yin, Zecong Ye, Yueping Peng, Wenchao Liu","doi":"10.1109/ICECAI58670.2023.10176667","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176667","url":null,"abstract":"Visible single-target tracking is an important research direction in computer vision. Recently, twin networks have shown strong performance in target tracking. Although there have been many single-target tracking reviews, there are few summaries of single-target twin networks. In order to better clarify the development status of twin networks, 17 popular trackers are divided into five categories, and the performance of these trackers in five data sets, such as LASOT, OTB and VOT, is discussed and analyzed—finally, the development of single target tracking in twin network prospects.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127921596","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}