Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Session: Computational Intelligence, Algorithm Optimization and Applications

22 articles
Proceedings Article

Direction of Arrival Estimation for Uniform Circular Array Based on Monte Carlo Importance Sampling

Peng Ma, Shiquan Wang
A new method of estimating direction of arrival for uniform circular array is presented in this paper. Based on Monte Carlo importance sampling, the proposed method employs a global optimization to maximize the compressed likelihood function at low angular separation to boast relatively improved performance,...
Proceedings Article

Structural Analysis and Optimization of Liquid Nitrogen Fire Monitor Based on FLUENT

Yunxing Hou, Xiaowei Yang, Fangyan Ren, Yanjun Liu
The nozzle is the key component to transform the fluid potential energy into kinetic energy. It is of great significance to the operation the fire protection system. A simple two-dimensional structure of the nozzle is developed. The outlet velocity of the nozzle model is calculated according to hydrodynamics...
Proceedings Article

Study on Ballistic Missile Infrared Hyperspectral Endmember Extraction Algorithm Based on Non-negative Matrix Factorization--Feasibility Analysis

Shihua Liu, Jiangtao Xiang, Wei Qi
According to the ballistic missile infrared hyperspectral endmember extraction problem, a hyperspectral endmember extraction algorithm based on the non-negative matrix factorization is studied. This algorithm is solved based on the alternating least square. The signal separation and extraction ability...
Proceedings Article

Age Estimation Based on a Deep Model

Liming Chen
In this paper, we propose a new age classification method based on a deep model. In our method, the fine-tuned deep facial age (FTDFA) model is used to extract facial age features. Age features output from the activations of the penultimate layer are classified by the Maximum joint probability classifier(MJPCCR).Three...
Proceedings Article

Improvement of Several Classical Matching Algorithms for Underground Positioning

Jie Huang, Ziyuan Tong, Shoufeng Tang, Qingyong Liu, Minming Tong, Mingyu Ji
It is an urgent task for the coal industry in China and even the world to realize the position of the injured and the excavation equipment under the mine. Due to its advantages of high efficiency, low cost, and suitable accuracy, binocular stereo vision measurement methods have become a popular trend...
Proceedings Article

Anti-interference Tracking Algorithm Based on Structural Random Jump System Theory

Xuchao Kang, Guangjun He, Feng Chen, Qifang He
In the process of tracking a maneuvering target, when there is interference, the system parameters and structure will randomly jump. The previous algorithms have less consideration. The thesis applies the structural random jump system theory to the anti-jamming tracking problem of the two sensors, establishes...
Proceedings Article

Improved NSGA-II Algorithm for Optimization of Constrained Functions

Yun Zhang, Bin Jiao
In order to solve the constrained multi-objective optimization problem, an improved NSGA-II algorithm is proposed. On the basis of NSGA, the cross operation of the feasible and unfeasible solution is implemented in order to give full play to the role of the infeasible solution in the optimization process....
Proceedings Article

A Slicing Algorithm Based on Virtual Edge for 3D Printing

Yifei Hu, Jiang Xin, Guanying Huo, Danlei Ye, Zehong Lu, Bolun Wang, Zhiming Zheng
Virtual edge method for point cloud slicing in 3D printing is a very common algorithm due to the advantage of low computational complexity. However, this approach is not robust to density variations. To overcome this shortcoming, in this paper, a concept of column neighborhood is introduced to estimate...
Proceedings Article

Solving Highly-dimensional Fractional Oscillators via an Efficient Scheme Based on Adams and Newmark-β Algorithms

Yuxiang Chen, Yanmao Chen, Qixian Liu
In this paper, we employed an efficient numerical scheme by combining Adams and Newmark-β algorithms to solve highly-dimensional nonlinear oscillators containing fractional derivatives (FDs). The method solves the original equations directly by incorporating the Adams and Newmark-β algorithms to handle...
Proceedings Article

Research on Emergency Logistics Management by Employing Uncertain Case-Based Reasoning

Xuedou Yu, Xiulian Gao
A new solution strategy about emergency logistics by employing uncertain case-based reasoning was provided for the management of emergency logistics. A scientific case-based reasoning rule and model reasoning algorithm were established. According to expert opinions, the membership function of each attribute...
Proceedings Article

Optimal PMU Configuration Based on Improving Teaching-learning-based Optimization Algorithm

Xiaodong Li, Mingyu Jing
Taking the full network observability of power system operation state and the least number of phasor measurement units(PMU) as objective, this paper proposes an optimal PMU placement algorithm based on an improving teaching-learning-based optimization algorithm(ITLBO). Phasor measurement units can measure...
Proceedings Article

A Low Speed Control Algorithm Based on Fuzzy-PI

Ying Ma, Bin Yan, Sheng Lu, Congying Deng, Xiang Chen, Yang Zhao
In order to implement high control performance at low speed (2~5 Km/h) for automatic parking system, a speed control algorithm is proposed based on Fuzzy-PI in this paper. First, the desired speed curve is programmed by taking advantage of Laplace-Gaussian curve. In order to avoid fuzzy blind areas,...
Proceedings Article

The Feasibility Research of Organizing Dragon-and-lion Dance in the Ordinary Universities of Wuhan

Dunfeng Zhou
By adopting the literature review, expert interview and logical analysis, this paper has made a detailed analysis and research into the feasibility of organizing dragon-and-lion dance in the ordinary universities of Wuhan. The research results show that the organization of dragon-and-lion dance which...
Proceedings Article

Grey Statistical Decision-making for Estimate of the Regional Wheat Trials Yield

Wuheng Gao
The regional wheat trials are used to objectively, fairly, and scientifically evaluate the yield and other characteristics of new wheat varieties grown in different wheat regions, and provide important scientific basis for the validation, ecological zoning, species distribution, and rational use of wheat...
Proceedings Article

Fast Hardware Implementation of Sub-pixel Search Algorithm for Digital Speckle Correlation Method

Zejie Kuang, Guohe Zhang, Feng Liang
Digital speckle correlation measurement method is an important way in the areas of three-dimensional deformation and morphology measurement. It carries the advantages of non-contact, high precision and strong stability. The sub-pixel search algorithm which is used to improve the accuracy of displacement...
Proceedings Article

Discussion on Machine Learning Data Processing Methods in Raman Spectrum

Wei He
In this paper, exploiting mixed machine learning data processing methods in Raman spectrum, such as data organization, data preprocessing, data analysis, sample classification is discussed. Data experiments showed that the mixed machine learning data processing methods in Raman spectrum had good performance.
Proceedings Article

Fault Detection and Diagnosis for Industry Process Based on Support Vector Data Description

Shuning Zhang, Hongyong Yang, Guanlong Deng
A new approach for fault detection and diagnosis based on Support Vector Data Description (SVDD) has been proposed in this paper. Similar to the T2 and SPE statistic in principal components analysis (PCA), an appropriate nonlinear distance metric measured in feature space and threshold have been developed...
Proceedings Article

Research on Artificial Intelligence Basic Platform and its Application in Educational Robot

Zhicheng Chen, Jichun Zhao, Duoli Wang
The foundation of artificial intelligence is an important research content. This paper introduces the "Artificial Intelligence Basic Platform" project of independent research and development. The paper draws up the development contents of the artificial intelligence computing platform, formulates the...
Proceedings Article

Study on How to Improve Engineering Student’s Ability to Solve Complex Engineering Problems

Xianming Li, Hongru Li
New approaches to improve engineering student’s ability to solve complex engineering problems have been studied. The student’s ability of “practice combine with theory” is very necessary for them to solve complex engineering problems. Taking the automation specialty of Shandong University as an example,...
Proceedings Article

Identification Method of Task Community Based on Bayesian Belief Network

Xuezhi Lv, Changjiang Liu
With the increaseing of the combat capability of the weapon platform, the striking range of the weapon platform is expanding, and it is necessary to classify the weapon platform according to the target that the weapon platform may hit. It can distinguish the task community, enhancing the cognition and...
Proceedings Article

Microbial Synthesis and Flocculation Performance of Poly (γ-glutamic Acid)

Yanli Zhang
Monosodium glutamate wastewater (MSGW) is a nutrient cultivation medium for microorganism cultivation because it contains abundant nutrient. The research focused on the cultivation of B. subtilis 168 with MSGW to produce poly (γ-glutamic acid). The optimal cultivation conditions for the production of...
Proceedings Article

The Dispersion of Nanometer SiC on Electroless Ni-P-nano SiC Composite Plating

Hong Wang, Yubao Cao, Wenqing Wei
In recent years, along with the development of nanometer material and technology, it is raising the upsurge of researching the craft of electroless composite plating with nanometer particles in domestic and foreign. However the nanometer material because its big relative surface proportion, the increase...