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

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Research on OCT Image Processing Based on Deep Learning 基于深度学习的OCT图像处理研究
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152347
Senyue Hao, Gang Hao
{"title":"Research on OCT Image Processing Based on Deep Learning","authors":"Senyue Hao, Gang Hao","doi":"10.1109/ICEIEC49280.2020.9152347","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152347","url":null,"abstract":"Optical coherence tomography (OCT) is a new imaging technique that can realize non-invasive tomography of the measured object. Deep Learning is one of Machine Learning algorithms that advanced in computer vision nowadays. OCT image processing based on deep learning is currently a hot research topic. This paper reviews the research progress of OCT image processing technology based on deep learning, including the research of deep learning in OCT image recognition, image segmentation, image enhancement and denoising. Some future research directions of OCT image processing based on deep learning are given in the end.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"42 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":"116942170","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
Frequent Itemset Mining with Hadamard Response Under Local Differential Privacy 局部差分隐私下Hadamard响应的频繁项集挖掘
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152248
Haijiang Liu, Xiangyu Bai, Xuebin Ma, L. Cui
{"title":"Frequent Itemset Mining with Hadamard Response Under Local Differential Privacy","authors":"Haijiang Liu, Xiangyu Bai, Xuebin Ma, L. Cui","doi":"10.1109/ICEIEC49280.2020.9152248","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152248","url":null,"abstract":"Frequent itemset mining is a basic data mining task and has many applications in other data mining tasks. However, users’ personal privacy information will be leaked in the mining process. In recent years, application of local differential privacy protection models to mine frequent itemsets is a relatively reliable and secure protection method. Local differential privacy means that users first perturb the original data and then send these data to the aggregator, preventing the aggregator from revealing the user’s private information. Data mining using local differential privacy involves two major problems. The first one is that the accuracy of the results after mining is low, and the other one is that the user transmits a large amount of data to the server, which results in higher communication costs. In this study, we demonstrate that the Hadamard response (HR) algorithm improves the accuracy of the results and reduces the communication cost from k to log k. Finally, we use the Frequent pattern tree (FP-tree) algorithm for frequent itemset mining to compare the existing algorithms.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"31 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120967944","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
Research on Simulation Algorithm of Beidou B1C Signal 北斗B1C信号仿真算法研究
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152278
Guang-Zhong Liu, Wenfei Gong
{"title":"Research on Simulation Algorithm of Beidou B1C Signal","authors":"Guang-Zhong Liu, Wenfei Gong","doi":"10.1109/ICEIEC49280.2020.9152278","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152278","url":null,"abstract":"This article researches the simulation algorithm of the Beidou B1C signal and discusses the key technology of the Beidou B1C signal simulation, including satellite position trajectory simulation and doppler frequency shift simulation. The Beidou B1C signal adopts a new spread spectrum code sequence, changes the structure of navigation message and improves the calculation method of the satellite position. Aiming at the problem of large amount of calculation in the satellite position trajectory simulation, a cubic spline interpolation method is proposed for optimization. The simulation results show that the simulation algorithm can generate the correct Beidou B1C signal.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"23 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":"121018951","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
A Meta-Heuristic Approach for The Constraint Satisfaction Problem 约束满足问题的元启发式方法
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152363
Tianci Chen, Xinyun Wu
{"title":"A Meta-Heuristic Approach for The Constraint Satisfaction Problem","authors":"Tianci Chen, Xinyun Wu","doi":"10.1109/ICEIEC49280.2020.9152363","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152363","url":null,"abstract":"This paper studies one of the constraint satisfaction problems (CSP), the university course timetabling problem (CTP). Given the ranges of each variable and a series of constraints, the objective of a CSP is to find a feasible assignment for each variable satisfying all the constraints. By analyzing the course schedule history from one university, we present the mathematical formulation of the CTP and introduce a meta-heuristic approach to solve this challenging problem. Apart from the neighborhood structure for this specific problem, a corresponding fast-incremental evaluation method is also proposed. Experimental results show the high efficiency of the proposed algorithm.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"42 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":"126751937","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
A Random Forest Classification Algorithm Based on Dichotomy Rule Fusion 基于二分类规则融合的随机森林分类算法
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152236
Yueyue Xiao, Wei Huang, Jinsong Wang
{"title":"A Random Forest Classification Algorithm Based on Dichotomy Rule Fusion","authors":"Yueyue Xiao, Wei Huang, Jinsong Wang","doi":"10.1109/ICEIEC49280.2020.9152236","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152236","url":null,"abstract":"The classical random forest algorithm has associated features and bias problems, which leads to a reduction in classification accuracy, in this paper we propose a random forest classification algorithm based on dichotomy rule fusion. The dichotomy rule fusion method is based on the idea of information gain and recursive feature elimination to select a better feature sequence, which improves the classification accuracy. Experimental results on international standard data sets show that the algorithm has better performance in classification than some commonly used algorithms.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"15 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":"116841924","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: 7
Non-blind Adaptive Cat Swarm Optimization for Workshop Scheduling 车间调度的非盲自适应Cat群优化
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152313
Bo Shi, Ming-Yu Liu
{"title":"Non-blind Adaptive Cat Swarm Optimization for Workshop Scheduling","authors":"Bo Shi, Ming-Yu Liu","doi":"10.1109/ICEIEC49280.2020.9152313","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152313","url":null,"abstract":"A non-blind adaptive cat swarm optimization algorithm was proposed aiming at the workshop scheduling. The discrete sequences were mapped to real coding based on ranked order value. The reverse learning was applied to initialize the population. Also, the non-blind adaptive strategy was adopted to improve the mode assignment rule of cat swarm optimization, enhance the adaptivity of parameters in the seeking and tracking mode in order to ensure both the global search and local search. The results indicated that the non-blind adaptive cat swarm optimization was robust and could get better scheduling solutions in large scale workshop scheduling problem.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"1 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":"129275550","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 Recognition Model with Random Forest and Entropy Weight for Chemical Gas Sensor Array 化学气体传感器阵列随机森林熵权识别模型研究
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152345
Xiaorui Dong, Xin Qi, Jian Cui, Xiaobao Xu, Ai-hua Wan
{"title":"Research on Recognition Model with Random Forest and Entropy Weight for Chemical Gas Sensor Array","authors":"Xiaorui Dong, Xin Qi, Jian Cui, Xiaobao Xu, Ai-hua Wan","doi":"10.1109/ICEIEC49280.2020.9152345","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152345","url":null,"abstract":"Electronic nose is one of the research hotspots in the field of engineering. In order to solve the chemical gas recognition problem of electronic nose (that is, sensor array), we designed and established a recognition model based on random forest, entropy weight and bootstrap aggregating. The model has been successfully applied to the UCI Gas Sensor Array Drift Dataset and achieved excellent effect and reliability, avoiding the adverse effects caused by drift problem and unbalanced data distribution to a certain extent. The design and implementation method of the recognition model has certain reference value to the research of related fields.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"60 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":"123494878","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
A Novel Localization Algorithm Based on Grey Wolf Optimization for WSNs 一种基于灰狼优化的无线传感器网络定位算法
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152341
Yaming Zhang, Yan Liu
{"title":"A Novel Localization Algorithm Based on Grey Wolf Optimization for WSNs","authors":"Yaming Zhang, Yan Liu","doi":"10.1109/ICEIEC49280.2020.9152341","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152341","url":null,"abstract":"As an information acquisition and processing method, wireless sensor network is also an important component of the Internet of Things. As a key core technology of wireless sensor networks, localization technology has become an important direction in the current and future research of wireless sensor networks, which is also a key issue related to the real application of wireless sensor networks and the Internet of Things. The research of localization algorithm based on intelligent computing technology is paid more attention. In this paper, a novel intelligent computing method — grey wolf optimization was used to localization in wireless sensor network and proposed a novel localization algorithm. The validity and practicability of the proposed algorithm were verified by simulation experiments. The convergence performance and localization result was discussed and compared by the classical traditional intelligent computing methods—particle swarm optimization algorithm. Moreover, the localization performance under different anchor node proportion and different communication radius were analyzesed in this paper. The simulation results show that the proposed algorithm has higher localization accuracy, and it needs fewer anchor nodes and smaller communication radius to achieve the same accuracy, thus saving cost.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"18 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":"127753619","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: 3
Analysis of The Characteristics of Similar Words Computed by Word Embeddings 基于词嵌入的相似词特征分析
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152307
Shuhui Zhou, Peihan Liu, Lizhen Liu, Wei Song, Miaomiao Cheng
{"title":"Analysis of The Characteristics of Similar Words Computed by Word Embeddings","authors":"Shuhui Zhou, Peihan Liu, Lizhen Liu, Wei Song, Miaomiao Cheng","doi":"10.1109/ICEIEC49280.2020.9152307","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152307","url":null,"abstract":"Word2vec is a popular word embedding technique and has also gained a lot of attention in the NLP field. But word embedding based on distributed representation is deficient in the semantics of distribution. This defect often occurs when we use word similarity to find similar words of a seed word. This article analyzes these similar words based on this deficiency. We propose a novel classification criterion to effectively classify similar words into 7 categories. Finally, we listed the future research directions, hoping to solve the problem of word confusion effectively.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"1 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":"130434102","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
[Copyright notice] (版权)
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/iceiec49280.2020.9152299
{"title":"[Copyright notice]","authors":"","doi":"10.1109/iceiec49280.2020.9152299","DOIUrl":"https://doi.org/10.1109/iceiec49280.2020.9152299","url":null,"abstract":"","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"92 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":"115575338","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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