2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)最新文献_第3页

Evaluation of Construction Land Ecological Suitability in Chenggong District of Kunming Based on Big Date 基于大数据的昆明市呈贡区建设用地生态适宜性评价

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00035

Lede Niu, Meiying Jiang, N. Lu

引用次数: 0

Optimization of Intelligent Neural Network Prediction Based on Particle Swarm 基于粒子群的智能神经网络预测优化

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00104

Xuezhi Lei

引用次数: 0

An Improved Genetic Algorithm Based on Normal Distribution for Solving the Traveling Salesman Problem 基于正态分布的改进遗传算法求解旅行商问题

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00094

Ying Gao, Jianwei Ye

引用次数: 1

Research on the Failure Criterion of Snow-Ice Constitutive Model 冰雪本构模型破坏准则研究

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00106

Yaqin Li, Xinwei Qiu, Yiyuan Ge, Junfan Wang, Siyu Chen

{"title":"Research on the Failure Criterion of Snow-Ice Constitutive Model","authors":"Yaqin Li, Xinwei Qiu, Yiyuan Ge, Junfan Wang, Siyu Chen","doi":"10.1109/ICVRIS.2018.00106","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00106","url":null,"abstract":"Solid ice-snow is the collection of impurities and ice-snow particles with adhesion and cohesive force after covering the ground, such as the external load and environmental factors. The destruction of ice-snow and the mechanism of removal determine the difficulty degree of ice-snow removal. Firstly, the constitutive model of ice-snow was established. It is considered that the ice-snow are micro-neck links, and its characteristics mainly depend on the binding properties between ice-snow particles. Secondly, the failure process of solid ice-snow is analyzed by high-speed camera. It is found that the failure mode of solid ice-snow is mainly brittle fracture, and the failure process involves three stages: cutting peeling and contacting. Finally, the failure criterion is established based on the solid ice-snow constitutive model, the form of ice-snow failure and the failure process. Besides considering the tool parameters, the friction factor, snow density and compressive strength, Young modulus, friction angle and the other factors are taken into account due to the temperature change. The establishment of the failure criteria provides a practical reference and theoretical basis for the removal of solid ice-snow.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114951283","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

Service Oriented Logistics Supply Chain Management Process Optimization:A Case Study of Agriculture Product Company 面向服务的物流供应链管理流程优化:以农产品公司为例

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00129

Jianyan. Shi

引用次数: 1

Grain Analysis Method and Model Research of High and Big One-Storey Granaries in North Cold Regions 北方寒区高层和大型单层粮仓粮食分析方法及模型研究

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00101

Xiao Qin, Long Chen, Wenfu Wu, Yuzhu Wu, Feng Han

{"title":"Grain Analysis Method and Model Research of High and Big One-Storey Granaries in North Cold Regions","authors":"Xiao Qin, Long Chen, Wenfu Wu, Yuzhu Wu, Feng Han","doi":"10.1109/ICVRIS.2018.00101","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00101","url":null,"abstract":"High and big one-storey granaries are the large-scale grain storage facilities generally adopted in our country. Mass data are obtained through the grain monitoring system equipped for a great number of high and big one-storey granaries, but they are only explored and utilized by resorting to the working experience of management personnel, without any scientific instruction on the operating management of granaries. With No. 49 silo of Qinjia Granary as the example, and through the data classification methods of four-layer one-shell and seven-core one shell, the paper analyzes grain data of high and big one-storey granaries in northeast cold regions of our country, and establishes the time series prediction model. The findings indicate that the two data classification methods can efficiently simplify the analysis process, and display spatial-temporal variation rules of grain; the relevancy between grain temperature data and ambient temperature data of high and big one-storey granaries is weakened gradually from top layer, middle layer, and lower layer to bottom layer. In reality, grain risk degree can be judged according to grain data of the middle layer, such as range, change rate, etc. Grain temperature data of high and big one-storey granaries conform to the sinusoidal variation model in terms of layer and core, and there are the differences in range and phase angle.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126240516","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

Big Data Equilibrium Scheduling Strategy in Cloud Computing Environment 云计算环境下的大数据均衡调度策略

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00031

Lin Mao

{"title":"Big Data Equilibrium Scheduling Strategy in Cloud Computing Environment","authors":"Lin Mao","doi":"10.1109/ICVRIS.2018.00031","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00031","url":null,"abstract":"In cloud computing environment, big data transmission channel is easily affected by multipath effect, which leads to poor channel equalization, and high bit error rate (BER) of big data transmission. In order to improve the capacity of big data transmission channel equalization scheduling in cloud computing environment, a cloud computing big data equalization scheduling algorithm is proposed based on Porter interval equalization and fuzzy C-means clustering. The big data transport channel model in cloud computing environment is constructed, and the multipath characteristics of big data transmission channel in cloud computing environment are analyzed. The big data output features are analyzed by combining similarity feature extraction and association rule mining method. The auto-correlation beamforming method is used to analyze the information clustering fusion in the big data equalization scheduling process, and the decision feedback equalization scheduling method is used to design the channel equalization of big data output in cloud computing environment. Spread spectrum technology is used to extend the big data transmission channel to improve the equalization of channel scheduling, and the big data clustering processing in cloud computing environment is combined with fuzzy C-means clustering method to realize big data equalization scheduling in cloud computing environment. The simulation results show that big data equalization scheduling in cloud computing environment has better channel equalization, strong anti-jamming ability and improved accuracy of big data classification scheduling.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126346467","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

Impacts on High Frequency Communications Based on OPNET 基于OPNET对高频通信的影响

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00134

Guowei Bu, Donghong Xie, Hualiang Chen, Mei Gao

引用次数: 1

Research on Stability of Active Oil Supply Radial Dynamic Pressure Bearings 主动供油径向动压轴承稳定性研究

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00063

Y. Gao, Haichao Liu, W. Jia

引用次数: 0

Development and Application of Visual Network Management System for Campus Based on B/S Architecture 基于B/S架构的校园可视化网络管理系统的开发与应用

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00019

Xiaodong Shao, Y. Zhang, Qian Huang, Y. Jiao

引用次数: 1