发布求助
文献互助 智能选刊 最新文献

2020 16th International Conference on Computational Intelligence and Security (CIS)最新文献

筛选
英文 中文
Numerical Analysis of Influence of Medicine Cover Structure on Cutting Depth 药盖结构对切削深度影响的数值分析
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00050
Kai Li, Chang Liu, Yang Hu, Changshuan Wang, Wei Peng, Qiang Gao, Yun Zhang, Tongsheng Shu, Wensheng Wang, Chengwen Lei, Lin Liu, Junfeng Chen
{"title":"Numerical Analysis of Influence of Medicine Cover Structure on Cutting Depth","authors":"Kai Li, Chang Liu, Yang Hu, Changshuan Wang, Wei Peng, Qiang Gao, Yun Zhang, Tongsheng Shu, Wensheng Wang, Chengwen Lei, Lin Liu, Junfeng Chen","doi":"10.1109/CIS52066.2020.00050","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00050","url":null,"abstract":"In order to study the cutting depth influence of the medicine cover structure of the linear-shaped charge cutter, and to select the suitable medicine mask structure, the numerical simulation of eight kinds of structure of medicine mask was carried out by LS-DYNA software. Based on years of engineering experience, we design a new medicine cover structure for the linear cumulative cutter. The simulation experiment verifies the feasibility of the medicine mask structure designed in this paper when cutting the target plate, and also helps us to realize the essential process of linear-shaped energy cutting target. The results show that we have the maximum cutting depth and the excellent cutting effect when the medicine mask caliber is 35mm, the wall thickness $c$ is 1.5mm, the top drug high is 20mm, and the top width $b$ is 15mm.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114430577","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
New Equivalent Circuit of Oil-Paper Insulation and Its Parameters Identification 新型油纸绝缘等效电路及其参数辨识
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00052
Dehua He, Ruliang Wang
{"title":"New Equivalent Circuit of Oil-Paper Insulation and Its Parameters Identification","authors":"Dehua He, Ruliang Wang","doi":"10.1109/CIS52066.2020.00052","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00052","url":null,"abstract":"In order to finding more perfect dielectric response function, the mixed polarization equivalent circuit model is proposed by combining interface polarization equivalent circuit model in oil paper insulation, which fit the actual relaxation process of oil paper insulation system. At the same time, to resolve complex computational problems of parameters identification quickly, the method of parameters identification for mixed polarization circuit model is presented based on particle swarm optimization algorithm. Finally, through the analysis and comparison of examples, confirmed that the mixed polarization circuit model is correct and has higher accuracy compared to the Debye equivalent circuit model, and can more truly reflect the relaxation process of oil paper insulation system.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129507581","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
3R: Word and Phoneme Edition based Data Augmentation for Lexical Punctuation Prediction 基于单词和音素版本的数据增强，用于词汇标点符号预测
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00009
A. Zheng, Naipeng Ye, Xiao Wang, Xiao Song
{"title":"3R: Word and Phoneme Edition based Data Augmentation for Lexical Punctuation Prediction","authors":"A. Zheng, Naipeng Ye, Xiao Wang, Xiao Song","doi":"10.1109/CIS52066.2020.00009","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00009","url":null,"abstract":"Existing Lexical Punctuation Prediction methods are mainly trained on the standard clean data while losing the generalization in practical automatic speech recognition (ASR) system with ubiquitous transcription errors. To bridge the gap between clean training data and noisy testing data, we propose three random (3R) data augmentation strategies: random word deletion (RWD), random word substitution (RWS), and random phoneme edition (RPE) in both word and phoneme levels on the training dataset. Specifically, we contribute an acoustically similar vocabulary with phoneme level editions for acoustically similar word substitution. In addition, we first introduce the RoBERTa-large model into a punctuation prediction task to capture the semantics and the long-distance dependencies in language. Extensive experiments on the English dataset IWSLT2011 yield to a new state-of-the-art comparing to the prevalent punctuation prediction methods.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795517","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
Intelligent decision-making based on neural network and simulation in two Islands air defense operation 基于神经网络的两岛防空作战智能决策与仿真
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00029
Xianguang Liu, Wenfei Wang, Xiaojie Zhang, Han Zhang, Zhihua Song, Zhongliang Zhou
{"title":"Intelligent decision-making based on neural network and simulation in two Islands air defense operation","authors":"Xianguang Liu, Wenfei Wang, Xiaojie Zhang, Han Zhang, Zhihua Song, Zhongliang Zhou","doi":"10.1109/CIS52066.2020.00029","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00029","url":null,"abstract":"The main characteristic of modern war is informatization. In information-dominated wars, combat deployment operations should take into account the recent achievements in computational analysis of combat information data. The purpose of the National intelligent Game Challenge of Joint Operation is to optimize the high-level innovation achievements inside and outside the military, to discover the top algorithm talents, and to promote the innovative application of intelligent technologies in the field of combat planning and charge. Within the context of this competition, This paper builds a neural network-based decision-making model of air-sea joint defensive operations. The data set of the neural network model in this paper was based on the confrontation simulations between the red and blue sides. Finally, the proposed model showed better results in the test than the traditional rule-based combat and the combat based on military expert decision.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122674749","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
Efficient attribute reduction based on rough sets and differential evolution algorithm 基于粗糙集和差分进化算法的高效属性约简
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00054
Siyuan Jing, Jun Yang
{"title":"Efficient attribute reduction based on rough sets and differential evolution algorithm","authors":"Siyuan Jing, Jun Yang","doi":"10.1109/CIS52066.2020.00054","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00054","url":null,"abstract":"Attribute reduction algorithms in rough set theory can be classified into two groups, i.e. heuristics algorithms and computational intelligence algorithms. The former has good search efficiency but it can not find the global optimal reduction. Conversely, the latter is possible to find global optimal reduction but usually suffers from premature convergence. To address this problem, this paper proposes a two-stage algorithm for finding high quality reduction. In first stage, a classical differential evolution algorithm is employed to rapidly approach the optimal solution. When the premature convergence is detected, a local search algorithm which is intuitively a forward-backward heuristics is launched to improve the quality of the reduction. Experiments were performed on six UCI data sets and the results show that the proposed algorithm can outperform the existing computational intelligence algorithms.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114294990","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
Beetle Antennae Search Algorithm for Community Detection in Complex Network 复杂网络中群体检测的甲虫天线搜索算法
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00061
Liefa Liao, Fan Zhang
{"title":"Beetle Antennae Search Algorithm for Community Detection in Complex Network","authors":"Liefa Liao, Fan Zhang","doi":"10.1109/CIS52066.2020.00061","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00061","url":null,"abstract":"Community detection can naturally divide the network into smaller parts to simplify network analysis. This paper proposes a new algorithm, community detection based on Beetle Antennae Search Algorithm (BAS), which employs a novel optimization algorithm with a simpler calculation process and fewer parameters. Beetle antennae search (BAS) is an efficient metaheuristic algorithm inspired by the foraging behaviors of beetles. The advantages include a small amount of calculation, fast optimization speed, and easy to implement. The beetle gets food location by using the left and right antennae on its head to sense the intensity of food odor. The encoding strategy for community detection has been redesign for the BAS algorithm. We take the module density measure as an optimization goal, which improves the resolution limit.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854017","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
Design of Intelligent Fighting Robot Construction 智能战斗机器人结构设计
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00053
Qinghua Meng, Youli Long, Ruiyang Wang, Fuxian He, Xuheng Lu, Xin Huang
{"title":"Design of Intelligent Fighting Robot Construction","authors":"Qinghua Meng, Youli Long, Ruiyang Wang, Fuxian He, Xuheng Lu, Xin Huang","doi":"10.1109/CIS52066.2020.00053","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00053","url":null,"abstract":"Intelligent fighting robot competition is an intelligent competitive sport formed by the combination of Traditional Chinese martial arts and artificial intelligence. The fighting robot designed in this paper summarizes some relevant construction and design strategies of fighting robots through competition practice, including non-contact startup of fighting robots. Self-directed stage; Self-directed search for rivals; And the anti - fall design. The combat robot has good performance and high stability.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127514097","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 Flower Classification Method Combining DenseNet Architecture with SVM 一种结合密度网络和支持向量机的花卉分类方法
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00014
Liefa Liao, Saisai Zhang
{"title":"A Flower Classification Method Combining DenseNet Architecture with SVM","authors":"Liefa Liao, Saisai Zhang","doi":"10.1109/CIS52066.2020.00014","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00014","url":null,"abstract":"Identifying flowers becomes an urgent challenge due to the light intensity at different shooting angles, complex backgrounds and similarities of different flower species. A classification method DN-F-SVM based on combining DenseNet architecture with Support Vector Machine (SVM) is proposed for flower recognition. First a convolutional architecture DenseNet with the characteristics of dense connection mechanism and feature reuse is utilized to train data. Then, flower features obtained from the connection layer of DenseNet are extracted and efficient features are selected with feature selection method of Fast Correlation-Based Filter (FCBF), which combines with SVM to achieve flower classification. The proposed classification method DN-F-SVM has been trained on the Oxford-17 and Oxford-l02 flower data sets. It has delivered recognition rates of up to 99.12% and 98.90% which are higher than the existing methods, fully demonstrating its excellent recognition performance.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130752431","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: 4
Analysis on Developing Dongguan's Badminton Training Market 东莞羽毛球培训市场开发分析
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00045
Le Yu, Lun Yu
{"title":"Analysis on Developing Dongguan's Badminton Training Market","authors":"Le Yu, Lun Yu","doi":"10.1109/CIS52066.2020.00045","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00045","url":null,"abstract":"Through questionnaire survey, network survey, expert interview and comparative analysis, this paper tries to understand the basic situation of badminton training markets in Dongguan and Beijing, it also provides a theoretical basis for the development of Badminton Training Industry in Dongguan. It is concluded that: (1) the software and hardware conditions of the badminton training market in Dongguan are insufficient; (2) The badminton training market remains to be developed; (3) The information publicity of badminton training club lags behind. (4) The operation mode of badminton training club needs to be specialized and the development concept needs to be changed. Accordingly, to improve Dongguan badminton training skill, clubs in Dongguan should pay attention to the promotion of badminton training market and strengthen communication with parents of students. Also, they should establish a correct corporate culture so as to strengthen the cooperation with the government.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131963088","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
Analysis on the Impact of China's Foreign Trade Pattern in the process of the Reduction of Carbon Emission Intensity in China 中国对外贸易模式在中国碳排放强度降低过程中的影响分析
2020 16th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2020-11-01 DOI: 10.1109/CIS52066.2020.00046
Yongda He, Zhi-Gang Tang
{"title":"Analysis on the Impact of China's Foreign Trade Pattern in the process of the Reduction of Carbon Emission Intensity in China","authors":"Yongda He, Zhi-Gang Tang","doi":"10.1109/CIS52066.2020.00046","DOIUrl":"https://doi.org/10.1109/CIS52066.2020.00046","url":null,"abstract":"This thesis first describe the relevant concept and theory of carbon intensity and pattern of trade, and then analyze the current situation and influencing factor of carbon emission. The essential part of this essay can be divided into two parts. First, we use a theoretical model to analyze the mechanism of the trade within the boundary of one nation, with the restriction of carbon emission and the reduction of the carbon intensity, the cause and effect of one nation, especially the ‘Scale, Structure and technology effects. Second, we establish a series of econometric models, in which we can get a better understanding of the relationship between export and carbon emission, and we can also explain the elements that lead to the structure changes of the international trade of our country. Finally, we use the ‘dual bonus effect’ of carbon taxation to cooperate with the policy of carbon emission right to realize target of optimum emission. We can promote the economic restructuring, while fulfilling the dual target of emission reduction and economic development.","PeriodicalId":106959,"journal":{"name":"2020 16th International Conference on Computational Intelligence and Security (CIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130926425","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: 2
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信