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Word2vec is a neural network language model which can convert words and phrases into a high-quality distributed vector (called word embedding) with semantic word relationships, so it offers a unique perspective to the text classification and other natural language processing (NLP) tasks. In this paper, we propose to combine improved tfidf algorithm and word embedding as a way to represent documents...
For articulated dump truck driven by six electric wheels, to adopt existing differential control strategies to enhance the dynamic performance is difficult. In order to solve this problem, a differential control strategy is proposed on the basis of the driving force hierarchical control. The control principles of two common differential control strategies such as equal torque control and equal slip...
With the rapid development of Internet economy, Internet celebrities have become a unique economic and cultural phenomenon in China. Their own certain characteristics are amplified under network environment, and those characteristics cater to the public's standard of beauty. Then the net celebrities have a lot of fans. This paper mainly studies the net celebrity how to operate Taobao shop and how...
A prime cordial labeling of a graph G with vertex set V is a bijection f from V to {1, 2, …, |V|} such that if each edge uv is assigned the label 1 if gcd(f(u), f(v)) = 1 and 0 if gcd(f(u), f(v))> 1, then the number of edges labeled with 0 and the number of edges labeled with 1 differ by at most 1. A double triangular snake is a graph formed by two triangular snakes having a common path, i.e.,...
Public Speaking Anxiety (PSA) is one of the most universal subtypes of social anxiety, and the facial expression recognition of PSA is an immediate area of research focus. The experiment obtained the facial expression data of 18 postgraduates in their thesis defense for the master's degree. Then, valid data were selected by using self-evaluation of the subject and the average evaluation of 5 audience...
This paper proposed a novel blind image quality assessment method that is created by training a convolutional neural network to learn discriminant features of image quality and fitting the features with a support vector regression to get an evaluation score. The pooling procedure is help to reduce the feature dimension and improve computation efficiency. The proposed method does not need any hand-crafted...
The traditional appraisal methods of smart city construction usually neglect the final construction goals of the smart city, which are: wholehearted service for the citizens, efficient city governance, freely share of the city data, sustainable economic development and safety and cleanness of the cyberspace. And the traditional appraisal method needs some priori knowledge, which will influence the...
A hybrid clustering approach is proposed for processing image-like data such as plots in flow cytometry. Clustering or partitioning data into relatively homogeneous and coherent subpopulations can be an effective pre-processing method to achieve data analysis tasks such as pattern recognition and classification. Our method uses a graph to model the initial manual partition of the dataset. Based on...
Realistic wrinkles are important for enhancing the realism of 3D facial expression. In this paper, we proposed a combined method to simulate realistic wrinkles generated in facial expressions. By taking physiological mechanism of facial wrinkles into account, we used the muscle model for facial animation to extract the wrinkle region, and then an improved wrinkle model was applied to generate wrinkles...
The paper proposes a method for human action recognition which focuses on solving the problems resulting from complex hand-crafted features. The method aggregates both spatial and temporal features and can be divided into two parts: multi-channel feature fusion and action classification. For adding motion and shape information, it firstly combines gray, optical flow and Difference of Gaussian(Dog)...
Saliency detection is to find the most important object automatically according to the human visual in the unknown scene. Most existing algorithms detect the salient object using various salient object features. In this paper, we present a novel saliency detection method by an iterated graph Laplacian based ranking on manifolds to determine whether the region is salient or not. Firstly, we segment...
When Genetic Algorithm (GA) is adopted to solve plant level load distribution problem (PLD), Prohibited Operation Zones (POZ) and equality constraints introduce low feasible solutions rate and poor searching efficiency issues. Based on existing infeasible solution repairing method, an improved measure is proposed in this paper, which uses an infeasibility index to determine repairing direction, intend...
The rendering of lines for 3D models is an important research topic in NPR(Non-Photorealistic Rendering). In line drawing, the use of loose style can help artists express their emotion and depict objects vividly. In this paper, we summarized the aesthetic factors of loose line style in two aspects: line thickness and line omission, and proposed a mathematical description for it. We also provided a...
To improve research efficiency of engineering problems, Surrogate model has gained its popularity in replacing real engineering model. This paper proposes a kind of Global Sequential Sampling Algorithm (GSSA) based on surrogate model. With the process of iteration, GSSA can sample both in unexplored region and large-error region, then iteratively update the samples. OLHS is used as initial sampling...
In view of problems existing in manual operated leakage detection for aircraft hydraulic system, the paper put forward a wireless network scheme for leakage detection system based on GPRS and Zigbee technology. The microchip CC2530 are adopted in the design of wireless network based on ZigBee protocol stack to realize the collection of hydraulic system flow rate. Using GPRS module based on SIM900A...
With the development of intelligent technology, Smart Home began to integrate into people's family life, and intelligent technology can provide more ideas for the establishment of a healthy home ecology. In order to better solve the security risks of family ecological environment, maintain the health of families, we analyzes the application and development of wisdom life philosophy, family ecological...
Distributed parameter estimation is more practical in wireless sensor networks, as it has less communication overhead and is robust in large scale sensor networks. To solve the state estimation problem of nonlinear and non-Gaussian system, we propose a distributed cubature Kalman particle filter, which use cubature Kalman filter to generate the importance proposal distribution of particle filter,...
Power grid is often destroyed due to frequent typhoon disasters in coastal area of China, when making urgent repair on it, the guarantee of emergency supplies of power grid became vital. Currently, the sample data collected by the power grid company for typhoon events is relatively few, while typhoons events continue to occur, the data could be constantly obtained along with time series, but the traditional...
Mechanical Resonance commonly happens in servo system due to the elastic connection between transmission shafts. The Two-Mass Mathematical Model is established in order to explore the theoretical cause of mechanical resonance. After comparing several typical signals mostly used before, a novel excitation signal for the vibration test is proposed in this paper—the Pseudo-Random-Binary Sequences (PRBS)...
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