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2020 13th International Symposium on Computational Intelligence and Design (ISCID)最新文献

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Optimized Road Status Level Grading Method in Driving Style Evaluation for Pay-How-You-Drive Commercial Vehicle Insurance 按驾付费商业车辆保险驾驶风格评价中道路状态等级分级优化方法
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00094
Wei Nai, Cong Sheng, Yuhan Liu, Y. Xing, Zan Yang
{"title":"Optimized Road Status Level Grading Method in Driving Style Evaluation for Pay-How-You-Drive Commercial Vehicle Insurance","authors":"Wei Nai, Cong Sheng, Yuhan Liu, Y. Xing, Zan Yang","doi":"10.1109/ISCID51228.2020.00094","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00094","url":null,"abstract":"The premium actuary scheme in pay-how-you-drive (PHYD), which is a promising form of commercial vehicle insurance product, can comprehensively evaluate driving risk of each customer by analyzing data collected from on-board diagnosis (OBD) module, and can give a more objective result than traditional vehicle insurance which fixes the premium only based on past violations and claim records. Such premium actuary process depends mostly on driving risk, which may be affected by driving behavior as well as driving environment, Different geographical condition as well as road status may change the driving habits of each driver to a great extent, thus, it is of great significance to understand the influence of driving environment on drivers and to grade the road status levels. Till now, even if road status evaluation and grading issue have been widely studied by scholars, their purposes to do such studies are rarely based on the application of PHYD commercial vehicle insurance product. In this paper, driving backgrounds has been taken into consideration, and an optimized road status level grading method has been built, which can serve as a correctional tools in the premium actuary process for PHYD commercial vehicle insurance product.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121132199","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
Design of Device and Method for Non-Intrusive Anti-Braking Cable Monitoring 非侵入式防制动电缆监测装置与方法的设计
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00100
Xin Tang
{"title":"Design of Device and Method for Non-Intrusive Anti-Braking Cable Monitoring","authors":"Xin Tang","doi":"10.1109/ISCID51228.2020.00100","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00100","url":null,"abstract":"With the rapid development of urban construction, there are more and more civil engineering construction which take place in a certain scale of area in most cities during recent years. Power supply faults caused by the construction occur frequently, which are somehow even hard to be prevented. Therefore, it is necessary and of great importance to develop a technology that can forewarn the cable to be cut or broken in advance. Till now, there are already many scholars who have studied the issue of status monitoring for all types of cables, however, there are hardly any technical means in power supply system to realize anti-breaking function for cables during engineering construction. Even if there are some reports shows the monitoring system design which can prevent the occurrence of cable failure due to engineering construction, but it cannot determine whether the construction is in the cable area so that it may be easy to cause false alarm. In this paper, a non-invasive anti-breaking cable monitoring device and method has been proposed, which can send an alarm before the cable is cut, and can notify the nearby operation and maintenance personnel to check, thus the safety of the cable can be ensured.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208447","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
War Chess as Hierarchical Learning Environment 作为分层学习环境的战争象棋
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00089
Shang Jiang, Wenxia Wei, Yanlin Wu, Rui Tang, Qingquan Feng, Daogang Ji
{"title":"War Chess as Hierarchical Learning Environment","authors":"Shang Jiang, Wenxia Wei, Yanlin Wu, Rui Tang, Qingquan Feng, Daogang Ji","doi":"10.1109/ISCID51228.2020.00089","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00089","url":null,"abstract":"This paper introduces GWCLE (General War Chess Learning Environment), a general machine learning environment based on hexagonal wargaming. Hexagonal war chess, when utilized as machine learning challenge, is naturally a multi-agent problem with the intelligent interaction of human or machine. The GWCLE supports hybrid engine, allowing credible simulation for kinds of war chess, which provides hierarchical training framework for massive agents control problem. The agent can be trained with designated level of war chess data and transferred bottom-up or top-down. For training on the whole deduction, we build the database to store refined replay data. Our framework is able to support agents to be trained in tactical and strategic level simultaneously. GWCLE offers a hierarchical perspective of the war chess simulation, allowing researchers controlling the granularity of action and time step.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122409986","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
Implementation and Application of the Health Management Expert System for Community Residents 社区居民健康管理专家系统的实现与应用
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00018
Yuqi Ye, Yu Wang, Yao Ding, Yang Xu, Zuchang Ma, Yining Sun, Lisheng Gao
{"title":"Implementation and Application of the Health Management Expert System for Community Residents","authors":"Yuqi Ye, Yu Wang, Yao Ding, Yang Xu, Zuchang Ma, Yining Sun, Lisheng Gao","doi":"10.1109/ISCID51228.2020.00018","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00018","url":null,"abstract":"The prevalence of chronic disease is increasing annually as the development of social economy and rapid changes of residents' lifestyle in China. Meanwhile, the role of community health management in the prevention and control of chronic diseases is increasingly prominent. Therefore, we design and implement a health management expert system for community residents in view of the current situation of community health management. The expert system we proposed can meet the needs of community residents for daily health management and improve the quality and efficiency of community health management services, due to the rich knowledge and experience in the field of health management it has. Finally, we verify the effectiveness of the system by analyzing the actual application effect of the system in the community health center, and predict the development trend of the system.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122522276","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
Plan for the Tilt Angles of the Tilt Rotor Unmanned Aerial Vehicle Based on Gauss Pseudospectral Method 基于高斯伪谱法的倾转旋翼无人机倾角规划
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00024
Chao Chen, Nuan Wang, Jiyang Zhang, G. He, Yiyong Li
{"title":"Plan for the Tilt Angles of the Tilt Rotor Unmanned Aerial Vehicle Based on Gauss Pseudospectral Method","authors":"Chao Chen, Nuan Wang, Jiyang Zhang, G. He, Yiyong Li","doi":"10.1109/ISCID51228.2020.00024","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00024","url":null,"abstract":"The Tilt Rotor Unmanned Aerial Vehicle (TRUAV) has attracted increasing attention due to their ability to perform Vertical Take-Off and Landing and their high-speed cruising abilities. In the conversion mode, the TRUAV is a nonlinear multi-channel cross coupling system affected by both the varying rotor thrust vector and the wing lift. In order to ensure the safety and steadiness of the flight, the tilt angles of rotors need change smoothly and steadily. For planning the tilt angles in the conversion mode, this paper build the dynamics model of the proposed TRUAV. Considering a series of dynamic constraints, mechanism performance constraints and flight index requirements, design the initial, terminal and process constraints and the objective functions. Adopt Gauss pseudospectral method(GPM) with multistep iteration strategy to plan the tilt angles. The results show that the motion of tilt angles planned is smooth, steady and rational, which represents the TRUAV could realize a smooth flight in the conversion mode.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122610617","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
Fault Diagnosis for Rotating Machinery Gearbox based on 1DCNN-RF 基于1DCNN-RF的旋转机械齿轮箱故障诊断
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00091
Zhimin Li, Qi Han, Rui Yang, Xianghua Wang, Mengjie Huang
{"title":"Fault Diagnosis for Rotating Machinery Gearbox based on 1DCNN-RF","authors":"Zhimin Li, Qi Han, Rui Yang, Xianghua Wang, Mengjie Huang","doi":"10.1109/ISCID51228.2020.00091","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00091","url":null,"abstract":"In this paper, a fault diagnosis method combining one-dimensional convolutional neural network (1DCNN) and random forest (RF), which is called 1DCNN-RF, is proposed for rotating machinery gearbox. This method uses 1DCNN to extract features from the collected multiple sensor signals, and then uses RF algorithm for classification. Compared to the existing approaches, this algorithm can improve the accuracy of fault diagnosis for rotating machinery gearbox. Finally, experiments are conducted on the Wind Turbine Drivetrain Diagnostic Simulator (WTDDS) to show the effectiveness of the proposed scheme.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129430316","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: 5
Prediction of Shanghai air quality index based on BP neural network optimized by genetic algorithm 基于遗传算法优化的BP神经网络预测上海市空气质量指数
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00052
Ruijun Yang, Xueqi Hu, Lijun He
{"title":"Prediction of Shanghai air quality index based on BP neural network optimized by genetic algorithm","authors":"Ruijun Yang, Xueqi Hu, Lijun He","doi":"10.1109/ISCID51228.2020.00052","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00052","url":null,"abstract":"This paper uses PCA (principal component analysis) combined with bp neural network and neural network based on genetic algorithm optimization to predict Shanghai’s AQI (air quality index) respectively. Matlab is used for modeling and simulation. which the prediction and analysis are different The error value and the number of iterations under the algorithm. The results show that the neural network optimized by genetic algorithm can effectively reduce the prediction error of the air quality index compared with the combination of PCA and bp neural network, making the optimized neural network prediction accuracy rate of 90.7%, greatly improving the neural network The learning efficiency has a good performance in predicting the air quality in Shanghai.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121390302","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
A Hierarchical Bidirectional LSTM Sequence Model for Extractive Text Summarization in Electric Power Systems 电力系统文本抽取摘要的层次双向LSTM序列模型
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00071
Wei Jiang, Yunfeng Zou, Ting Zhao, Qiang Zhang, Yinglong Ma
{"title":"A Hierarchical Bidirectional LSTM Sequence Model for Extractive Text Summarization in Electric Power Systems","authors":"Wei Jiang, Yunfeng Zou, Ting Zhao, Qiang Zhang, Yinglong Ma","doi":"10.1109/ISCID51228.2020.00071","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00071","url":null,"abstract":"With the increasing volume of documents in electric power systems, it is urgent and necessary for electric power systems managers to efficiently analyze the massive documents and make reasonable decisions by capturing the main points of the document as quickly as possible. The text summarization technique provides a feasible way to efficiently analyze and obtain the main contents residing in the document. In this paper, we present a Hierarchical Bidirectional Long Term Short Memory Sequence model for extractive text summarization in electric power systems in order to efficiently and accurately summarize electric power documents and obtain a summary of the document. Our model is divided into four layers including the embedding layer, the word layer, the sentence layer, and the classification layer in a hierarchical manner. The related experiments were made based on the electric power data set that contains more than 2000 electrical papers, in comparison with the existing approaches based on the CRF, CNN, and RNN models. The experimental results show that the performance based on our approach is superior to the three approaches against the three performance indexes ROUGE-1, ROUGE-2, and ROUGE-L.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121501135","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
Hybrid Dimension Reduction Method Based on Isomap and t-SNE with Beetle Antennae Search Algorithm 基于等高图和t-SNE的甲虫天线搜索混合降维方法
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00095
Erkai Jin, Miao Li, Xiaopu Feng, Zan Yang, Wei Nai
{"title":"Hybrid Dimension Reduction Method Based on Isomap and t-SNE with Beetle Antennae Search Algorithm","authors":"Erkai Jin, Miao Li, Xiaopu Feng, Zan Yang, Wei Nai","doi":"10.1109/ISCID51228.2020.00095","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00095","url":null,"abstract":"The emergence of dimension reduction algorithm can effectively reduce calculation time, storage space for input and parameters, and can solve the problem of sparse samples in high-dimensional space, thus it has been applied widely. As two typical nonlinear dimension reduction algorithms, isometric feature mapping (Isomap) and t-distributed stochastic neighbor embedding (t-SNE) are also called manifold learning, even if they can realize dimension reduction, both of them have a common disadvantage that they can only find the local optimal solution. Thus, it is of great importance to overcome this shortcoming. In this paper, the two manifold learning methods Isomap and t-SNE have been mixed to form a novel method, which has a totally new loss function in dimension reduction; moreover, beetle antennae search (BAS) algorithm has also been introduced into the proposed method, which has good global convergence, great randomness, and can solve the problem of effectively finding the global optimal solution out.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126413993","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
Feature selection for intrusion detection systems 入侵检测系统的特征选择
2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00065
F. Kamalov, S. Moussa, R. Zgheib, Omar Mashaal
{"title":"Feature selection for intrusion detection systems","authors":"F. Kamalov, S. Moussa, R. Zgheib, Omar Mashaal","doi":"10.1109/ISCID51228.2020.00065","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00065","url":null,"abstract":"In this paper, we analyze existing feature selection methods to identify the key elements of network traffic data that allow intrusion detection. In addition, we propose a new feature selection method that addresses the challenge of considering continuous input features and discrete target values. We show that the proposed method performs well against the benchmark selection methods. We use our findings to develop a highly effective machine learning-based detection systems that achieves 99.9% accuracy in distinguishing between DDoS and benign signals. We believe that our results can be useful to experts who are interested in designing and building automated intrusion detection systems.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133415700","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
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