Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Session: Intelligent System and Applied Mathematics
28 articles
Proceedings Article
Voxelwise Detection of Cerebral Microbleed in CADASIL Patients by Genetic Algorithm and Back Propagation Neural Network
Yuanyuan Tao, Rayan S Cloutie
In this study, we proposed an application of voxelwise detection of cerebral microbleed in CADASIL patients by genetic algorithm (GA) and back propagation neural network (BPNN).We collected in total 20 subjects, and obtained 69,356 CMB voxels, and 124,063,981 non-CMB voxels. We employed BPNN as the classification...
Proceedings Article
Path Planning for Multiple AGV Systems Using Genetic Algorithm in Warehouse
Chao Li, Chuqing Cao, Yunfeng Gao
Path planning problem in multiple automated guided vehicle (AGV) system has been proven to be NP-Hard problem by many researchers. This complex task is being done using various mathematical techniques traditionally. This paper proposes an optimal path planning method for the multiple AGV system based...
Proceedings Article
A New PM2.5 Air Pollution Forecasting Model Based on Data Mining and BP Neural Network Model
Anna Li, Xiao Xu
A new PM2.5 air pollution forecasting model based on data mining and BP neural network model was established in this paper. This model combined data mining and BP neural network algorithm with data of mass concentration of PM2.5 and meteorological data obtained from the Ministry of Original data Environmental...
Proceedings Article
Fast License Plate Recognition Method Based on Competitive Neural Network
Jinxing Qian, Bo Qu
Vehicle license plate recognition is an important part of Intelligent Transportation Network. Generally speaking, the traditional LPR mainly consists of three parts: location, segmentation and recognition. Recognition is the most important part of LPR and the effect of recognition is closely related...
Proceedings Article
Research on New Intelligent Optimization Algorithm Based on the Law of Universal Gravitation
Zhong Ren, Qisong Qi, Qing Dong, Gening Xu
In order to solve the problem of global optimization, a new optimization method based on the law of universal gravitation is proposed, which is a random search algorithm derived from the simulation of natural imagination, which belongs to the category of evolutionary computation and is a new intelligent...
Proceedings Article
Adaptive Control of Multi-Rotor UAV Using Enhanced Learning Technology
Chin-Hsiung Lee
Due to the development and maturation of embedded processor, micro-sensor technology and control theory, multi-rotor UAV is booming. The continuously increasing efficiency and multifunctionality make multi-rotor UAV widely used in military, civil aerial shooting, search and rescue, monitoring and other...
Proceedings Article
An Adjusted Inverse Distance Weighted Spatial Interpolation Method
Zhengquan Li, Kuo Wang, Hao Ma, Yaoxiang Wu
Considering the shortcomings of IDW interpolation, this study improved the IDW algorithm and proposed a new spatial interpolation method that is called Adjusted Inverse Distance Weighting (AIDW). The AIDW is capable of taking into account the comprehensive influence of relative distance and position...
Proceedings Article
Correlation Analysis of Photovoltaic Power with the Field Data of Xinjiang Korla Photovoltaic Power Plants
Kewen Yang
Mastering the characteristics of photovoltaic power generation helps reduce the output limit of photovoltaic power generation and improve the absorption ability of photovoltaic power generation. Based on the measured data from photovoltaic power stations, the sunrise force-related characteristics of...
Proceedings Article
Design and Implementation of Remote Automatic Detection of Tobacco Stack Data in Alcoholization Warehouse
Yanping Wang, Hanxi Li, Huan Le, Lei Song, Shihai Tao
By remote extracting cycle sampling, the parameters of phosphine concentration, oxygen content and other important parameters will be tested in the tobacco stack, which not only ensures that the pressure in the pipe is reasonable, but also takes the pipe adsorption into full consideration, so as to ensure...
Proceedings Article
Prediction of Pumping Unit Well System Efficiency Based on Chaotic Time Series Method
Chaodong Tan, Zhenhua Peng, Gang Feng, Ruogu Yang, Lijie Gao
The system efficiency prediction of pumping unit well always plays an important part in dynamic analysis of oil field production. The system efficiency of pumping unit well is restricted by a variety of factors, which is extremely complex. Ideal effect cannot be realized when applying structural causal...
Proceedings Article
An Exploration Of Calculating The Packet Loss Rate By Using The Block Rate
Fan Bu
This electronic document is about New estimation method for link packet loss rate .An intermediate quantity is deduced from the block rate, Through this intermediate quantity to further solve the packet loss rate.
Proceedings Article
Isomorphisms of Maximal Subsemigroups of D-classes of Finite Full Transformation Semigroup
Xiang Li
In this paper, by using Green’s equivalences, we obtaine isomorphisms of the maximal subsemigroups of Green-classes(R-classes, L-classes and D-classes).
Proceedings Article
Modeling and Simulation of High Voltage Circuit Breaker Based on PSCAD
Tie Chen, Haoyun Ke
The black box model can describe the process with only a few related parameters and avoid the complicated description like the physical mathematical model. Based on these advantages, a black box model of circuit breaker based on arc was established. Firstly, the two typical arc black box models were...
Proceedings Article
Bifurcation Analysis of a Ratio-Dependent Holling-Tanner Model with Cross-Diffusion
Zhen Li, Yan Meng, Yongan Ye
In this paper, we investigate a discrete space-time predator-prey model with ratio-dependent function response. The model is given by a coupled map lattice framework, it takes a nonlinear relationship between predator-prey reaction stage and dispersal stage. Through stability analysis and bifurcation...
Proceedings Article
Fluid identification Method of the Tight Sandstone Gas Reservoir Based on Gassmann Equation
Chunlei Liu, Na Li, Chaowei Duan, Gang Li, Li Chen, Guoli Li, Chengen Zhang, Fengsheng Zhang, Zhengquan Guo
The tight sandstone gas reservoir in Altun region of the Qaidam Basin has the characteristics of low porosity and low permeability, low maturity, strong heterogeneity and complex pore structure. It causes the resistivity to react weakly to the fluid, it is not obvious that the conventional explanation...
Proceedings Article
Study on Safety Investment Performance of Stakeholders in Wind Farms Based on Evaluation Game Model
Rui Liu, Taihua Yang
This paper starts from the main stakeholders of safety input performance, from the government regulatory departments and wind power enterprises, grid companies, the three relevant stakeholders to conduct safety investment performance game analysis, establish a game income function and strategy analysis...
Proceedings Article
The Analysis on the Seismic Performance of a Frame-tube Structure with Cross-layer Columns
Yonggui Chen, Kewei Ding
Taking the frame-core tube structure of a super high-rise building in Hefei as an example, this thesis undergoes a calculation of elasticity under frequent earthquakes and a comprehensive elastic-plastic analysis under rare earthquakes on this structure, testing the rationality of this structure’s arrangement...
Proceedings Article
The Resilience Model on Rescuers’ Coping with Emergencies
Kan Shi, Qin He, Yiran Zhao, Shehong Liang, Yu Shi, Huidan Guo
Recently, given that emergencies are uncertain, complex and unpredictable, and, especially, sudden public crisis events have extremely destructive effects on our society, it has been becoming an important research project in the field of crisis management that government should construct a set of scientific...
Proceedings Article
A Study on Retired Athletes’ Security Policy Optimization Based on the Capability
Dexin Zou, Haochen Zou, Jian Liu
Based on the research data of Liaoning province and constructing logistic econometric model, it studies the influencing factors of retried athletes’ life satisfaction with Amartya.Sen’ capability theory. The result shows that five instrumental freedoms have great impact on retired athletes’ life satisfaction,...
Proceedings Article
Emergency Logistics Theory, Model and Method: A Review and Further Research Directions
Hongqian Xu, Danhui Fang, Yining Jin
With the improvement of people’s understanding of disaster relief, emergency logistics has become an important guarantee to improve the efficiency of relief and safeguard the safety of people's lives and property in recent years. In this paper, the research theories, methods and models of emergency logistics...
Proceedings Article
Research on the Effect of Rural Finance on Agricultural Economy Based on Spatial Econometric Model
Feng Li, Chenggang Li
Based on panel data of 31 provinces, municipalities and autonomous regions in China from 2010 to 2015, the paper constructs a spatial econometric model to analyze the relationship between rural finance and agricultural economy. According to the spatial correlation test, it is concluded that there is...
Proceedings Article
Strategy Model Based on Geographic Profiling
Na Wang, Xinshe Qi, Guo Li, Jing Li
In order to generate a geographical profile, based on the spatial distribution theory and the probability distance theory, two strategy models are established. At the same time, we also analyze the complexity and the accuracy of these models.
Proceedings Article
Business Creation, Innovation, and Regional Development: Evidence from China’s Thirty-Year Economic Transition
Shiyong Zhao, Anyang Chen, Chongxian Liu, Shifeng Zhao
Using a panel of China’s 31 provinces over 1978-2008, we examine the effects of entrepreneurship on economic growth in the context of China’s transformation from a centrally planned to a market-oriented economy. We divide entrepreneurship into two types: one is business creation and the other is innovation....
Proceedings Article
Spatial-Temporal Characteristics Analysis of Urban Air Quality and Its Evolution Pattern in Henan Province
Kaiguang Zhang, Mingting Ba, Hongling Meng, Yanmin Sun
Urban air pollution is one of the most urgent problems to be solved in the process of China’s economic development and urbanization. Aiming at the spatial-temporal evolution problem of air quality in Henan province, this paper, based on the daily average data of urban air quality index of Henan province...
Proceedings Article
Green Sensitive Consumer Demand and Government Subsidy as Drivers of Product Green Innovation
Hui Zhou
We study the drives of green sensitive consumer demand and government subsidy to product green innovation. In a monopolistic market with linear demand, a firm produces and sells its product to consumers. In the benchmark, demand depends only on price, and then consumer’s green sensitivity was introduced...
Proceedings Article
Analysis of Factors Affecting China's OFDI
Xuezhong Chen, Jialin Lin
The OFDI in China increased from 2.6 billion U.S. dollars in 1997 to 196.1 billion U.S. dollars in 2016, showing that the OFDI in China has achieved a rapid development. With the implementation of the trade policy“Belt and Road”, and the increasing influence of uncertainties in foreign trade, it is of...
Proceedings Article
Portfolio Research Based on Differential Evolution Method
Yulian Fan, Yang Xu, Mengying Chang
Portfolio optimization refers to the fact that investors allocate funds to certain kinds of assets, so that the investment amount of each type of assets accounts for a certain proportion of the total investment. The purpose is to make the overall income of the assets held by investors as high as possible,...
Proceedings Article
Research on Sales Forecasting Method for Transmission Parts of Customized Production
Jun Cheng, Tao Hong, Xiaohong Li, Honglin Wang
With the advancement of manufacturing technology and the diversification of customer needs, product sales forecasting is critical to the company in a small-volume, multi-variety production model. Based on the traditional ARIMA model and the deep neural network LSTM model, this paper constructs the ARIMA-LSTM...