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2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)最新文献

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The Research and Implementation on Radio Network Relay System 无线网络中继系统的研究与实现
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152353
Lingzhi Zhang, Liyu Xiang, Jinshuai Wang, Chunling Zhang, Zhigang Wang, Gaoquan Ding
{"title":"The Research and Implementation on Radio Network Relay System","authors":"Lingzhi Zhang, Liyu Xiang, Jinshuai Wang, Chunling Zhang, Zhigang Wang, Gaoquan Ding","doi":"10.1109/ICEIEC49280.2020.9152353","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152353","url":null,"abstract":"This paper introduces the current problems of wireless coverage, including blind spot and blocking problems in the communication system, the problems results in limited signal coverage. Wireless relay system can improve the shortcomings of insufficient wireless coverage. Compared with base stations, wireless relay system has many obvious advantages, such as the low cost, low investment, and good maintenance, etc. The architecture of the wireless relay system is built and implemented. The main functional modules included in the architecture are introduced in detail, and the radio frequency module, digital front-end and digital baseband processing module are explained separately. Finally, the implemented system was tested and verified.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"5 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114124475","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
Professional Competence Management for University Students Based on Knowledge Graph Technology 基于知识图谱技术的大学生职业能力管理
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152327
Lan Huang, Yan Sun, Zijing Yi, Yongzheng Jiang
{"title":"Professional Competence Management for University Students Based on Knowledge Graph Technology","authors":"Lan Huang, Yan Sun, Zijing Yi, Yongzheng Jiang","doi":"10.1109/ICEIEC49280.2020.9152327","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152327","url":null,"abstract":"Effective competence management is beneficial to improve students’ academic performance. Mining the hidden information in teaching data plays an important role in analyzing and modeling professional competence for students. Therefore, we propose a method for constructing a competence management model based on teaching data. By using knowledge graph technology, the model establishes a semantic network which includes seven competence entities and four kinds of relationships between them. To apply and evaluate the competence management method, the model is instantiated by using teaching data from computer science. In the part of named entity recognition, this paper uses the BiLSTM_CNN_CRF model. Compared with the BiLSTM_CRF model, the precision is improved by 1.50%, the recall rate is improved by 1.47% and the F1-score is improved by 1.48%. In the part of entity similarity calculation, in order to help students manage their competence better, the similarity of competence entities and the degree words are calculated respectively. Finally, the Neo4j graphics database is used to store and display the knowledge graph and a competence retrieval service for students is applied in this paper.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117091320","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: 1
The Influence of Rainfall and Snowfall on Aircraft Icing Environment 降雨和降雪对飞机结冰环境的影响
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152311
Jinhu Wang, Binze Xie, Jiahan Cai
{"title":"The Influence of Rainfall and Snowfall on Aircraft Icing Environment","authors":"Jinhu Wang, Binze Xie, Jiahan Cai","doi":"10.1109/ICEIEC49280.2020.9152311","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152311","url":null,"abstract":"The icing environment is a major threat to aircraft flight safety and must be analyzed. In this work, the icing index is calculated using the interpolation method to process the sounding data of multiple stations in China. The results show that: 1) Before and after the summer rainfall process, there are obvious changes in the ice accretion index in the 4–6km height area of Northeast China, and the areas with serious ice accretion are basically coincident with the areas with large rainfall estimates. 2) In the process of snowfall in winter, the ground snow has an impact on the ice accumulation index in the east of China. When there is snow on the ground, the ice accumulation in low altitude is serious. The results of this study offer a theoretical basis for prediction and early warning of aircraft icing.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"28 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011648","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
Incremental Evaluation Improvements of The RSN Algorithm for the Minimum Connected Dominating Set Problem 最小连通支配集问题RSN算法的增量评估改进
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152306
Ziwen Liu, Xinyun Wu
{"title":"Incremental Evaluation Improvements of The RSN Algorithm for the Minimum Connected Dominating Set Problem","authors":"Ziwen Liu, Xinyun Wu","doi":"10.1109/ICEIEC49280.2020.9152306","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152306","url":null,"abstract":"This paper proposes some incremental evaluation improvements of the state-of-the-art meta-heuristic algorithm for the well known combinatorial optimization problem minimum connecting dominating set problem. Comparing to the original algorithm, the proposed one improves the neighborhood evaluation by using a vertices weighted objective function and a new initialization phase. The computational results demonstrate the efficiency of the proposed algorithm in terms of both solution quality and computational efficiency.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130336469","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
Study on Repeatability, Normalization and Feature Selection of Medical Electronic Nose for Lung Cancer Diagnosis 医用电子鼻用于肺癌诊断的重复性、归一化及特征选择研究
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152322
Shuya Zhang, Jing Luo, Mengchen Lu
{"title":"Study on Repeatability, Normalization and Feature Selection of Medical Electronic Nose for Lung Cancer Diagnosis","authors":"Shuya Zhang, Jing Luo, Mengchen Lu","doi":"10.1109/ICEIEC49280.2020.9152322","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152322","url":null,"abstract":"In this paper, we report a medical electronic nose for lung cancer diagnosis used for breath analysis. We use the designed alveolar gas collector to collect the alveolar gas of subjects for the electronic nose experiment. The electronic nose system has completed chemical and exhaled breath tests. The results of chemical tests show the good repeatability of the developed medical electronic nose for lung cancer diagnosis in this paper, and the relative standard deviation (RSD) values of five feature classes are calculated, respectively. In the exhaled breath test, the test data are processed with six normalization methods. It is found that the data classification effect of the data after the quantile normalization is better than that after the other five normalizations. Then, the five feature classes are classified separately, and it is found that the feature class with low RSD value obtained from chemical tests has better classification effect, which provides a new way for feature selection.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"755 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132706861","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 Drug-Target Interactions Prediction: Network similarity-based approaches 药物-靶标相互作用预测研究:基于网络相似性的方法
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152342
Hong Bingjie, Khushnood Abbas, Niu Ling, Syed Jafar Abbas
{"title":"Research on Drug-Target Interactions Prediction: Network similarity-based approaches","authors":"Hong Bingjie, Khushnood Abbas, Niu Ling, Syed Jafar Abbas","doi":"10.1109/ICEIEC49280.2020.9152342","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152342","url":null,"abstract":"Accurate identification of drug-target interactions can help researchers shorten the time of new drug development and reduce the blindness and cost of new drug research. For this purpose, the link prediction technology is used in this paper to predict the accuracy of 24 kinds of similarity indexes in the Matador database. The accuracy of link prediction based on structural similarity depends on whether the definition of structural similarity can grasp the structural characteristics of the target network well. And it does not need to know the information of nodes and edges of the network in advance. The results show that compared with other algorithms, the accuracy of Local Random Walk (LRW) model is the highest when the step size is 5, and the algorithm with the best area under the ROC curve ( AUC ) stability is Hub Promoted Index (HPI).","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"22 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113991076","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
Study on Block and Hierarchical Division Control of Power Internet of Things 电力物联网分块与分层控制研究
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152320
Jian Gao, Chao Huo, Yan Zhen, Ganghong Zhang
{"title":"Study on Block and Hierarchical Division Control of Power Internet of Things","authors":"Jian Gao, Chao Huo, Yan Zhen, Ganghong Zhang","doi":"10.1109/ICEIEC49280.2020.9152320","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152320","url":null,"abstract":"Combined with the demand of the power Internet of things for mass data transmission and processing, based on the clustering algorithm, the power Internet of things is divided into appropriate block grid, the collection with close communication or similar distance and the aggregation node are divided into the same network from the selection of the initial cluster center and the determination of the optimal cluster number K. Each grid runs independently, and the corresponding distributed controller is configured. The communication scheduling between networks is based on the multi-service traffic prediction, which not only avoids the contact between nodes that are too far away, but also makes effective use of bandwidth resources and has a certain \"self-healing\" function, which provides support for the optimization of subsequent distribution network. The effectiveness of the method is verified by the results of an example.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122543154","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
Mining Missing Links in Directed Social Networks based on Significant Motifs 基于显著母题的定向社交网络缺失链接挖掘
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152358
Jinsong Li, Jianhua Peng, Shuxin Liu, Zhicheng Li
{"title":"Mining Missing Links in Directed Social Networks based on Significant Motifs","authors":"Jinsong Li, Jianhua Peng, Shuxin Liu, Zhicheng Li","doi":"10.1109/ICEIEC49280.2020.9152358","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152358","url":null,"abstract":"Link prediction in directed social networks is a challenging and promising problem in both communication networks and data mining. Most existing methods of mining missing directed links are based on structural similarity and the inner contributions of neighborhood nodes are usually ignored. In this paper, taking node attributes into consideration, the potential value of each node is deduced based on a value transfer function. Combing the effects of two significant network motifs, a potential value index (PVI) for link prediction is proposed. PVI can utilize the in-depth information of surrounding environments. It also reflects the motivation of link formation in directed social networks. Experimental results on eight real-world social networks show that PVI outperforms eight state-of-the-art indices with only a quasi-local complexity. It can be well applied in large scale networks.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123933918","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: 1
Paper Citation Count Prediction Based on Recurrent Neural Network with Gated Recurrent Unit 基于门控循环单元的递归神经网络的论文引文数预测
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152330
Jiaqi Wen, Liyun Wu, Jianping Chai
{"title":"Paper Citation Count Prediction Based on Recurrent Neural Network with Gated Recurrent Unit","authors":"Jiaqi Wen, Liyun Wu, Jianping Chai","doi":"10.1109/ICEIEC49280.2020.9152330","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152330","url":null,"abstract":"In recent years, with the increasing investment in scientific research, the number of papers has proliferated, and the development of scientific research has also received widespread attention from scholars. Paper citations as an indicator to measure academic influence have essential reference value for future research directions. Aiming at the future paper citation number prediction problem, we propose a citation number prediction model based on the recurrent neural network method with gated recurrent unit(GRU-CPM). In this paper, we first extract features from real data sets that are useful for predicting the number of citations in papers, and then the features were input into GRU-CPM for prediction. Finally, the prediction results are compared with other regression models. Experimental results demonstrate that the GRU-CPM has higher prediction accuracy and faster convergence speed. The time series prediction of citation count is better than existing methods.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366656","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: 13
Differential Privacy Online Learning Based on the Composition Theorem 基于复合定理的差分隐私在线学习
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152303
Pinru Jiang, Shizhong Liao
{"title":"Differential Privacy Online Learning Based on the Composition Theorem","authors":"Pinru Jiang, Shizhong Liao","doi":"10.1109/ICEIEC49280.2020.9152303","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152303","url":null,"abstract":"Privacy protection is becoming more and more important in the era of big data. Differential privacy is a rigorous and provable privacy protection method that can protect privacy for a single piece of data. But existing differential privacy online learning methods have great limitations in the scope of application and accuracy. Aiming at this problem, we propose a more general and accurate algorithm, named DPOL-CT, for differential privacy online learning. We first distinguish the difference in differential privacy protection between offline learning and online learning. Then we prove that the DPOL-CT algorithm achieves (∊, δ)-differential privacy for online learning under the Gaussian, the Laplace and the Staircase mechanisms and enjoys a sublinear expected regret bound. We further discuss the trade-off between the differential privacy level and the regret bound. Theoretical analysis and experimental results show that the DPOL-CT algorithm has good performance guarantees.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128508060","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
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