发布求助
文献互助 智能选刊 最新文献

2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)最新文献

筛选
英文 中文
Lugus Lucorum Detection by Improved Convolutional Neural Network 改进卷积神经网络的盲蝽检测
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00226
Wendou Nie, Yucheng Zhang, Jinfen Ren, Ruiyang Li
{"title":"Lugus Lucorum Detection by Improved Convolutional Neural Network","authors":"Wendou Nie, Yucheng Zhang, Jinfen Ren, Ruiyang Li","doi":"10.1109/ICVRIS51417.2020.00226","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00226","url":null,"abstract":"To improve the detection accuracy of Lugus Lucorum in natural environment, a Lugus Lucorum detection method is proposed based on improved convolution neural network (CNN). First, based on YOLO-v3, a new training data set labeling strategy is designed to make the target have a higher effective pixel occupation rate in Ground Truth. Two DenseBlock structures are integrated to effectively alleviate gradient disappearance, reduce the number of parameters, and save computational power. Feature reuse can also play an anti-overfitting role. The proposed method is validated on the dataset of Lugus Lucorum images. The experiment results show that the method can effectively detect the Lugus Lucorum.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"29 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":"115443174","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
Power control strategy based on energy efficiency optimization in D2D network D2D网络中基于能效优化的功率控制策略
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/icvris51417.2020.00197
Gou Lisha, Xu Yan, Yue Chunyan
{"title":"Power control strategy based on energy efficiency optimization in D2D network","authors":"Gou Lisha, Xu Yan, Yue Chunyan","doi":"10.1109/icvris51417.2020.00197","DOIUrl":"https://doi.org/10.1109/icvris51417.2020.00197","url":null,"abstract":"Aiming at the problem of Device-to-Device (D2D) users sharing the spectrum resources of the cellular network, a power control strategy is proposed due to the problem of impaired energy efficiency of the D2D network caused by improper transmission power. With the goal of maximizing the energy efficiency of the D2D network, the D2D user transmission rate is combined with the terminal battery energy to establish a cooperative game model under the constraints of the interference threshold, the D2D user as a player dynamically adjusts the transmission power according to the mutual interference energy, at the same time introducing weighting factor structure of the utility function, the appropriate weighting factor is selected through simulation and the existence and uniqueness of the Nash equilibrium solution of the cooperative game model are proved. Finally, through repeated iterations, the optimal transmission power of the user when the energy efficiency of the D2D network is maximum is obtained. Simulation shows that the algorithm in this paper can effectively suppress interference, extend the battery life of D2D user terminals, and achieve higher network utility.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"49 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":"124811105","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 the Capability Demand of intelligent Command Information System 智能指挥信息系统的能力需求研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00086
Bing-Tian Su, Fengchen Qian, Ming-shun Xing, Jun-qiang Yang, Tao Qi
{"title":"Research on the Capability Demand of intelligent Command Information System","authors":"Bing-Tian Su, Fengchen Qian, Ming-shun Xing, Jun-qiang Yang, Tao Qi","doi":"10.1109/ICVRIS51417.2020.00086","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00086","url":null,"abstract":"This paper aims at the problems existing in the command information system, Based on the command information system development. Draw lessons from the Internet cloud architecture, artificial intelligence, big data, Internet and other new technology into the command information system, enable intelligence, adaptability, flexibility and toughness of the command information system play a combat effectiveness, building \"the Internet cloud brain\" as the core, service as the granularity, data as the center, with artificial intelligence as the gripper hierarchical intelligent command information system architecture., and the ability of the command information system based on DODAF2.0 classification, ability, ability to depend on the ability to view are expounded.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"118 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":"127961040","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 River Segmentation Method of Remote Sensing Image 遥感影像河流分割方法研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00117
Peng Wang, Chunxia Sun, Dezhao Lu
{"title":"Research on River Segmentation Method of Remote Sensing Image","authors":"Peng Wang, Chunxia Sun, Dezhao Lu","doi":"10.1109/ICVRIS51417.2020.00117","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00117","url":null,"abstract":"Traditional change detection methods based on spectral information are difficult to achieve ideal results. Accurate extraction of river water shapes is a key issue for remote sensing image interpretation and recognition. High-resolution remote sensing images contain a large amount of surface information, and it is difficult for a single method to effectively segment the target area. When segmenting the edge of the remote sensing image water area, there will be problems such as various types of surface water area and complex and changeable water area texture structure. Therefore, there are higher requirements for the accuracy of segmentation in the simulation process. Aiming at the problems of river flow in remote sensing images that easily cause image noise and the existence of a large amount of regional information similar to the river gray value in remote sensing images or the complex environment where waters are blocked by a small area, this paper proposes a multi-scale and multi-structural element Morphological reconstruction edge detection combined with improved region growing algorithm to achieve remote sensing image water segmentation, both accuracy and processing time are improved.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"6 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":"130473503","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
Cultivating Interest in Volleyball PE Teaching Considering Interactive Programmed Teaching Method 基于互动程序化教学法的排球体育教学兴趣培养
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00249
Chunjuan Ye
{"title":"Cultivating Interest in Volleyball PE Teaching Considering Interactive Programmed Teaching Method","authors":"Chunjuan Ye","doi":"10.1109/ICVRIS51417.2020.00249","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00249","url":null,"abstract":"Physical education (PE) in regular colleges and universities has the vital mission of teaching basic physical skills, shaping a healthy body, cultivating excellent psychological quality, and forming good living habits. The conventional ideas, concepts, and teaching methods of PE with specific features that have been formed over a long time can no longer facilitate students in mastering sports skills and improving their self-study capabilities. To increase the interest of students in PE classroom teaching, we adopted the literature review, experiments, logical analysis, mathematical statistics, questionnaire survey, and other methods based on interactive programmed teaching method in this study to perform experimental research on the teaching of volleyball smashing techniques in regular colleges and universities. Sixty students were selected from a specific college for case study, and the volleyball smashing skills were analyzed and evaluated. The results have verified that: Compared with conventional teaching methods, the interactive programned teaching method is more conducive to improving the technical skills of students and improving their capabilities to observe, analyze, and solve problems. It can break down the overall teaching objectives organically, which has significantly reduced the difficulty of technique learning so that the students can build up their self-confidence to learn volleyball skills well and enhance their interest in learning volleyball in the process of constantly trying to learn techniques successful.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"5 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":"131404583","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
Energy Loan Program with Blockchain Safe Credit under Scenario of Industrial Internet of Things 工业物联网场景下区块链安全信用能源贷款项目
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00070
Hui Yan, Hanlin Chen, Ping Yu, Daren Hei, Xinzheng Liu
{"title":"Energy Loan Program with Blockchain Safe Credit under Scenario of Industrial Internet of Things","authors":"Hui Yan, Hanlin Chen, Ping Yu, Daren Hei, Xinzheng Liu","doi":"10.1109/ICVRIS51417.2020.00070","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00070","url":null,"abstract":"In order to solve the problems of high carbon footprint and energy consumption cost in the Internet of vehicles (IoV), point-to-point energy transactions are widely conducted in wireless vehicular ad hoc networks (VANET). However, due to the impact of untrustworthy and non- transparent energy market, there are many common security and privacy protection issues in the energy transaction process. To deal with these problems, this paper takes advantages of the distributed management structure and blockchain technology to study a new safe energy trading system based on the consortium blockchains. Meanwhile, this paper proposes a lightweight intelligent contract to evaluate and update the reputation value of each vehicle participant, in order to provide a credible computing environment and avoid the massive resource consumption caused by the \"mining\" process.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"4 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":"131616439","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
TDOA Positioning Method Based on Taylor Series Expansion Based on Cuckoo Search Algorithm 基于杜鹃搜索算法的泰勒级数展开TDOA定位方法
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00240
Yu Chen, Chong Shen, Kun Zhang, Liwen Xu, Xing Huang
{"title":"TDOA Positioning Method Based on Taylor Series Expansion Based on Cuckoo Search Algorithm","authors":"Yu Chen, Chong Shen, Kun Zhang, Liwen Xu, Xing Huang","doi":"10.1109/ICVRIS51417.2020.00240","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00240","url":null,"abstract":"In order to solve the problems of low accuracy and large computation in traditional locating methods, an uWB locating method based on Taylor series expansion TDOA of cuckoo search algorithm is proposed. It is to substitute the nonlinear equation established by TDOA positioning measurement value into the initial value obtained by cuckoo search algorithm. This method utilizes the powerful maximum value search ability of Cuckoo algorithm to provide initial value for Taylor series expansion algorithm, which solves the problem that Taylor series expansion algorithm is sensitive to initial value and has good convergence characteristics. According to the simulation results, the TDOA positioning algorithm based on The Taylor series expansion of cuckoo search algorithm has a significant improvement in positioning accuracy compared with the common Chan-Taylor algorithm, and can obtain more accurate positioning results without increasing the system hardware cost.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"98 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":"134070911","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
Path Planning Based on Improved Ant Colony Algorithm 基于改进蚁群算法的路径规划
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00230
Yushuai Zhang, Jianxin Guo, Rui Zhu, Zhengyang Zhao, Liping Wang
{"title":"Path Planning Based on Improved Ant Colony Algorithm","authors":"Yushuai Zhang, Jianxin Guo, Rui Zhu, Zhengyang Zhao, Liping Wang","doi":"10.1109/ICVRIS51417.2020.00230","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00230","url":null,"abstract":"In order to overcome the problems of low accuracy and long time-consuming in traditional heuristic path planning algorithm, a new path planning method is proposed based on the improved Ant Colony (AC) algorithm. Different from the traditional AC algorithm worked with fix pheromone, the updatable pheromone is adopted by the improved AC algorithm to increase the diversity performance. Based on this advantage, the proposed path planning method has better accuracy and convergence performance. Simulation results show that the time-consuming of the proposed method is reduced effectively. And, the shortest path length of the proposed method is also shorter than the traditional heuristic path planning algorithm obviously.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"17 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":"134279441","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
Prediction of emergency supplies based on improved Case-based reasoning 基于改进案例推理的应急物资预测
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00231
Chenlong Ma, Qing-rong Wang
{"title":"Prediction of emergency supplies based on improved Case-based reasoning","authors":"Chenlong Ma, Qing-rong Wang","doi":"10.1109/ICVRIS51417.2020.00231","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00231","url":null,"abstract":"In order to overcome the problems of old cases on prediction accuracy in traditional case-based reasoning (CBR), an improved case-based reasoning (CBR) method for emergency materials forecasting is proposed. The method adapts to the dependence of emergency events on social development by weakening the weight of old cases. Firstly, the coefficient of variation method is used to calculate the weight coefficient between case attributes. Secondly, the consumption strategy is used to reduce the weight of the old cases, and then the similarity between the cases is calculated to retrieve the best source case matching the target case. Finally, the simulation results show that the prediction accuracy of the improved method is proved to be better than that of the traditional method. Therefore, this method has a certain reference value for the prediction of emergency rescue materials.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"114 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":"122960283","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
A New Technique Research on Data Mining 数据挖掘新技术研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00126
Li Hao, Yuehong Zhang
{"title":"A New Technique Research on Data Mining","authors":"Li Hao, Yuehong Zhang","doi":"10.1109/ICVRIS51417.2020.00126","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00126","url":null,"abstract":"Classification is a basic problem in the field of data mining. It is one of the key steps that intelligent systems take when extracting meaningful information from complex and massive data. This paper introduces a new classification approach based on the theory of human vision from the perspective of bionics. The experimental results show that the new algorithm is efficient for the classification.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"86 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":"123020009","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
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