{"title":"Study on IRS-assisted WPT Communication System with Phase Errors","authors":"Yicong Li, Demin Tian, J. Yang","doi":"10.1109/icccs55155.2022.9845934","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845934","url":null,"abstract":"In this paper, the outage probability (OP) and symbol error rate (SER) performance of an intelligent reflecting surface (IRS) aided wireless power transfer wireless system in the Rayleigh fading channel are discussed. In the considered system, energy source (ES) sends radio frequency (RF) signals to the source node with the help of IRS. Source harvests energy from the RF signals sent by ES and uses the harvested energy to communicate with the destination node. Specifically, we consider two phase adjustment situations in the IRS, i.e., perfect phase and one-bit phase. The expressions on the OP and SER for the two cases are derived. The effects of the number of reflecting elements, transfer power, energy conversion efficiency, and phase error are investigated to shed lights on the system design. Finally, Numerical results and Monte-Carlo simulations are provided to verify the correctness of the theoretical analysis.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133239875","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":"Accurate and Visual Video Recommendation Based on Deep Neural Network","authors":"F. Yang, Gangmin Li, Yong Yue, T. Payne","doi":"10.1109/icccs55155.2022.9846417","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846417","url":null,"abstract":"Video recommendation is vital for a video platform, which provides its users with videos they may be interested in. In this paper, we integrate users' ratings of videos in the video platform and community and crucial information data such as video category, director/actor, predict users' preference for videos through deep neural network, which could improve the accuracy of personalized recommendation. In addition, we use weighted force-directed Graph to show the relationship among users, videos, directors, and other elements, which could display the visualization of data elements and recommended results. Extensive experiments are conducted on three video datasets, and the experimental results demonstrate that the proposed method is more effective than several other recommendation methods.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134646796","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":"Proof of Non-stationary Channel Polarization","authors":"Yizhi Zhao, Shiwei Xu, Hongmei Chi","doi":"10.1109/icccs55155.2022.9846695","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846695","url":null,"abstract":"In this paper, we consider the proof of the non-stationary channel polarization theory and its achievability of capacity. First, we construct a multi-channel stochastic process for the non-stationary channel polarization operation. Then based on this stochastic process, we extend Arıkan’s standard martingale proof method on the average channel capacity and average channel Bhattacharyya parameter, by which we have successfully proved the non-stationary channel polarization theory and the achievability of capacity. For those who are familiar with Arıkan’s polarization proofs, our extended proofs will be easy to understand.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127052303","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":"Automatic Recognition of Parallel Sentence Based on Sentences-Interaction CNN and Its Application","authors":"Guanghui Liu, Lijun Fu, Boyuan Yu, Ligong Cui","doi":"10.1109/icccs55155.2022.9846217","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846217","url":null,"abstract":"Automated essay evaluation is to make the computer simulating human evaluate students’ essay. The final grade of one essay is highly related to its literacy. The use of rhetorical devices can increase the literacy of one essay, and parallelism is one of the common rhetoric. Therefore, the identification of parallelism can contribute to automated essay evaluation. However, the research of automatic recognition of parallel sentence is so rare so far. In this paper, we design a deep learning method based on sentences interactive-convolutional neural network to recognize parallelism in the light of word co-occurrence, similar syntactic structure and tone of expression. Firstly, one or more interactive matrices whose elements represent the similarities in some ways between every token in two sentences are constructed. Then the convolutional neural network is employed to capture local features. The experimental results show that our feature selection is effective and the recognition effect is comparable with similar studies.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115198867","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":"APKI: An Anonymous Authentication Scheme Based on PKI for VANET","authors":"Shuo Jiang, Xue Chen, Yibo Cao, Tianrun Xu, Jiahuan He, Yu Cui","doi":"10.1109/icccs55155.2022.9845923","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845923","url":null,"abstract":"Ehicular ad-hoc network (VANET) as the core of Intelligent Transportation System (ITS) enables transfer of data which consists of private information of VANETs users such as exact location among the entities of ITS. Therefore, authentication of users is mandatory to restrict access to this information by any malicious users or attackers. However, the available anonymous authentication schemes in VANET have some drawbacks in security and efficiency. Hence, we propose a new anonymous authentication scheme based on Public Key Infrastructure (PKI). To begin with, our scheme constructs the signature of timestamp using the PKI as authentication proof to improve security. Meanwhile, anonymous authentication is strongly guaranteed in our scheme. Further, we establish secure session keys and provide the method of revealing malicious nodes. Security analysis and performance evaluation indicate that our proposed scheme has superiority in both security and efficiency, and is more suitable for wireless networks.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115691208","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 Construction of Maritime Legal Knowledge Graph","authors":"Yiming Liu, Li Duan","doi":"10.1109/icccs55155.2022.9845845","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845845","url":null,"abstract":"As the marine industry booms, the maritime legal documents are of great importance to the maneuver on the sea. However, the traditional way of consulting the text can not meet the demand of maritime operation nowadays. This paper aims to explore a way to extract and strengthen data from maritime legal texts to better support legal question answering. To mine knowledge from unstructured maritime laws and regulations, this paper proposes a method to build the maritime legal knowledge graph. To extract information from unstructured texts, BERT+BiLSTM+CRF is used for named entity recognition. DeepKE toolkit is used for relation extraction. And to strengthen the logics between entities, heterogeneous nodes are introduced to enhance the semantic associations in the maritime legal knowledge graph. The document-enhanced knowledge graph expanded in scale, so it can better support subsequent intelligent applications.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114796845","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 Power Communication Mode under the Architecture of Mountain Microgrid","authors":"Bo Li, Peiming Zhang, Yutu Liang","doi":"10.1109/icccs55155.2022.9845901","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845901","url":null,"abstract":"With the continuous development of smart grid, the communication coverage in remote mountainous areas is difficult to meet the multi-dimensional business needs of remote mountainous areas, and there are many problems in planning, design and operation control of a single communication method. For this reason, this paper introduces the advantages and disadvantages of several main communication methods of the distribution network, combines the characteristics of the mountain microgrid, analyzes the feasibility of the multi-mode integrated communication system in the mountain microgrid, and determines that the power line carrier is used in the mountain microgrid. With the integrated communication mode of micro-power wireless, satellite communication is used between the micro-grid and the remote master station for remote information transmission, which lays the foundation for the integrated collaborative transmission system architecture design of the mountain micro-grid. In the end, the paper analyzes the selection scheme of the best network under different types of services through simulation.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116450910","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":"Channel Estimation for Massive MU-MIMO Systems with Real Image Denoising Network","authors":"Ruilang He, Wuyang Zhou","doi":"10.1109/icccs55155.2022.9845979","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845979","url":null,"abstract":"Channel estimation is one of the critical challenges for massive multiuser multiple-input multiple-output (MU-MIMO) systems. In this paper, a deep learning (DL) method, exploiting the sparsity of the massive MIMO channel, is proposed to improve the performance of least squares (LS) estimation. Specifically, we first consider the sparse massive MIMO channel matrix as a natural image. Then, a novel channel estimation method based on real image denoising network (RIDNet) is proposed to effectively mitigate the impact of noise on LS estimation. Finally, simulation results are provided to corroborate the superiority of the proposed method in performance and robustness.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125740222","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":"Self-Supervised Point Cloud Learning in Few-Shot Scenario by Point Up-Sampling and Mutual Information Neural Estimation","authors":"Jiawei Li, Yunan Huang, Yunqi Lei","doi":"10.1109/icccs55155.2022.9846258","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846258","url":null,"abstract":"Point cloud data is hard to obtain and time-consuming to be labelled. Self-supervised methods can utilize data without label, but it still needs large amount of data. The key to self-supervised methods lies in the design of pretext tasks. In this work, we propose a new self-supervised pretext task in few-shot learning scenario to further alleviate the data scarcity problem. Our self-supervised method learns by training the network to restore the original point cloud from the down-sampled point cloud. Although our point up-sampling pretext task as a kind of reconstruction task can ensure the learned representation contains sufficient information, it cannot guarantee its distinguishability. Thus, we introduce a Mutual Information Estimation and Maximization task to increase the distinguishability of the learned representation. Classification and segmentation results have shown that our method can learn efficient feature and increase the performance of down-stream models.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809396","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}
Zhaolong Wang, C. Tong, Yijin Wang, Qingkuan Wang, G. Tian, G. Zou
{"title":"Study on Electromagnetic Scattering Characteristics of Ultra-low Altitude Targets above Mountainous Areas","authors":"Zhaolong Wang, C. Tong, Yijin Wang, Qingkuan Wang, G. Tian, G. Zou","doi":"10.1109/icccs55155.2022.9845944","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845944","url":null,"abstract":"In this paper, two typical mountainous areas of valley and hillside with Tomahawk missile above is established by using the composite rough surface modeling method. The fluctuation model with land statistical characteristics is generated based on the Monte Carlo method and Gaussian spectral function. The modified weighted four path model and physical optics (PO) and method of equivalent currents (MEC) are used to calculate the composite electromagnetic (EM) scattering of environment and target. Several useful conclusions are obtained, and the simulation results have a certain reference significance for the detection of ultra-low altitude targets.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129851068","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}