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This paper introduces a fitness data management system based on the Android platform for the strength fitness equipment, which can display, storage and mange fitness data. The server for this system is Tomcat and the mobile terminal's operating system is Android. App installed on the terminal interact with the database through HTTP transport protocol, which enable the visual management for fitness...
For one hand, graduates students from university cannot find a job. For another, enterprises cannot find a proper employee. This embarrassing situation needs university make reform from traditional structure of education in China. We need to do something to change this phenomenon. This article focuses on integration of education and industry, it is one method try to solve this problem.
Recently deep Convolutional Neural Networks have been successfully applied in many computer vision tasks and achieved promising results. So some works have introduced the deep learning into face anti-spoofing. However, most approaches just use the final fully-connected layer to distinguish the real and fake faces. Inspired by the idea of each convolutional kernel can be regarded as a part filter,...
In this paper, we focus on the problem of energy-efficient power allocation for secure transmission in massive multiple-input multiple-output (MIMO) systems, where an active multi-antennas eavesdropper sends pilot signals as that of destination receiver to transmitter simultaneously in the uplink training phase. Our aim is to maximize the energy efficiency (EE) of the system by considering the power...
Fuzzy time series has been utilized to solve the problem of time series prediction in diverse fields. In the fuzzy time series prediction, the fuzzy logical relations have great impacts on the prediction performance. To obtain the exact and complex fuzzy logical relations between the fuzzy variables for the time series prediction, we propose to extract them from the historical data and model them...
Vehicle identification is one of the frequently studied problems in video surveillance. Commonly, identifying an unknown vehicle object requires a large amount of training instances. Unfortunately, in the large parking scenario, the cost may be prohibitively expensive because of the finitely waiting time from the car owners. In this paper, we show that it is possible to identify a registered vehicle...
The cultivation of university students' comprehensive faculties is the starting point and the end of higher education, and both teaching and management of school is aimed at enhancing students' overall quality so that students can become the modern society qualified citizens. The paper, starting from the view of the research perspective of the organizational structure, targeting the establishment...
Face recognition technology is widely used in law enforcement agencies. Face photo-sketch recognition is one of possible ways to identify suspects. We propose a method using joint dictionary learning for face photo-sketch recognition. Our method bypasses the image synthesis procedure used by previous joint dictionary learning based methods. Compared with other methods such as coupled dictionary learning...
Safety culture construction has significant impact on fire prevention in oilfield. Reasonable evaluation index system should be set up to evaluate the state and quality of safety culture construction in oilfield enterprise teams while further study should be taken and validated on spot. Framework of safety culture construction in Oilfield enterprise teams was put up. By SMART principle and occupation...
Nowdays, IDS (Intrusion Detection System) is a hot topic in the information security. The main function of IDS is distinguishing and predicting normal or abnormal behaviors. This paper is to propose a model used on IDS, it is based on rough set (RS) theory and fuzzy support vector machine (FSVM). Firstly, the model set rough set as a preprocessor of FSVM. Rough set can reduce dimensions of attributes...
Keywords are the critical resources of information management and retrieval, automatic text classification and clustering. The keywords extraction plays an important role in the process of constructing structured text. Current algorithms of keywords extraction have matured in some ways. However the errors of word segmentation which caused by unknown words have been affected the performance of Chinese...
Most of graph-based methods for semi-supervised learning are transductive, giving predictions for only the unlabeled data in the training set, and not for an arbitrary test point. SLC (Semi-supervised Local Linear Coordinate), which is based on LLC (Local Linear Coordinate) is present here as an inductive method. The mixture of factor analyzers is used to model the raw data set, and the label smoothness...
Image segmentation is very essential and critical to image processing and pattern recognition. It is known that, color image segmentation approaches are based on monochrome segmentation approaches operating in different color spaces. So in this paper, an improved method which uses the FSVM (fuzzy support vector machines) algorithm for color image segmentation in the HSI (hue-saturation-intensity)...
Support vector machine(SVM) is sensitive to the noises and outliers in the training samples, so fuzzy support vector machine(FSVM) precede support vector machine in solving the problem of non-linearity high dimension and uncertainty. At the same time, for the practicability, the multi-class support vector machine is a good choice. In this paper, we combine the fuzzy support vector machine and multi-class...
Using clustering method to generate training set, and applying rough set theory to discretization preprocess, the classification accuracy can be improve well. This paper applied PAM clustering algorithm to constitute a training set from original sample, used a discrete algorithm that integrates Boolean logic with rough set theory to discretize the training set, and trained classifier by the discrete...
Physical interest is the mental tendency of students to actively get to know and give priority to the participation in physical learning or physical training and one of the basic momentums for students to take part in physical activities. It is also the important factor to affect students' awareness and enthusiasm to take part in physical training in the physical education of school. This paper analyzed...
A conditional random fields (CRF) based method and application of automatic term extraction was proposed in this paper according to the theory of ldquoInformation -Knowledge - Intelligencerdquo transformation. A CRF model was created by training the different fields of the corpus segmented and tagged. Using the model trained by CRF, the documents in a given field were automatically tagged and the...
In order to find errors and correct words after Chinese speech recognition to improve its accuracy rate, an N-gram based phonetic syllable evaluation approach is proposed according to the conjunction rules in Chinese syllables. In this paper, Bigram and Trigram model are used with two kinds of smoothing methods for comparison. Evaluation results show that it can achieve a precision rate up to 72.44%...
Support vector machine is effective method for resolving non-liner classification and regression problem, but it is sensitive to the noises and outliers in the training samples. In order to overcome this problem, fuzzy support vector machine (FSVM) is introduced. How to choose a proper fuzzy membership is very important for the practical problem in FSVM. Generally, fuzzy membership is built according...
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