At present, the credibility of the MOOC certificate is facing serious questions. Unscientific testing is one of the main reasons. This article analyzes the characteristics of MOOC test results data. Based on the distribution it obeys, an algorithm for automatically generating test papers is constructed....

Aiming at practical situations, multiple tasks may be because the location is relatively concentrated, leading users will choose, is a consideration of these tasks jointly issued together package. In such case, the pricing model of how to modify the front, to the final completion of the mission and what's...

Personal privacy of citizens under the environment of big data is a hot spot of social concern. This paper focuses on the issue of the commercialization and sharing of personal data. A simple analytic hierarchy process is used to rationally divide the risk of privacy and build an evaluation system. The...

In the era of big data, the data contains enormous value, and data quality is an important prerequisite for obtaining data value through data analysis and mining. Starting from the definition of data quality, the article first introduced the importance and main indicators of data quality analysis, then...

Based on the traditional theory and algorithms of vehicle routing problem, the multi-objective VRPSDP model is established in considering the minimum of the number of vehicles and the transportation costs. The genetic algorithm is used as the solving algorithm of the model in this paper, in order to...

Based on a large number of optimization experiments, the optimal switch probability was discussed. And by the analysis and experiment of local and global pollination, it is found that the global exploration of global pollination was not ideal. In order to integrate the algorithm, this paper designs two...

Teeth is a structure in which many vertebrates exist. For some animals, such as lions, tigers and so on, teeth are chewing tools and weapons to protect themselves. But for human, it also carries the beauty of the face. When the teeth are sick, accurate classification of the teeth seems particularly important....

Rigid tapping in drilling and tapping centers is an electromechanical control system with strong nonlinearity, uncertainty, and difficulty in accurate modeling. It will inevitably be affected by nonlinear and uncertain factors such as friction and mechanical resonance. The traditional motion control...

PID control algorithm has the advantages of precision and stability, but it is difficult to meet the requirements of complex control, and the improved PID algorithm is in urgent need of development. Fuzzy PID algorithm combined with the advantages of fuzzy and PID, has the characteristics of fast and...

In recent years, there have been more and more applications of deep learning in natural language processing, and people have paid more and more attention to the value embodied in patent. In this paper, based on the value of right-claiming document in the patent, a deep learning tool word2vec is used...

Cloud computing has been developing at a rapid speed, playing an important role in many fields, especially in environments like hospitals which produce a lot of data every day and have specific users. Because the security of the information stored in the cloud cannot be guaranteed, we propose a safe...

Assistive robotic technologies that use neural interface systems are designed to allow people with limited mobility to assert control with signals directly from their brains. These robotic systems require detection and analysis of raw brain signals, machine learning methods to extract these signals into...

The Orthant-Wise Limited-memory Quasi-Newton method (OWL-QN), based on the L-BFGS method, is an effective algorithm for solving the ‘1-regularized sparse learning problem. In order to deal with the ‘1-regularization, OWL-QN restrict the point to an orthant on which the quadratic model is valid and differentiable....

This article’s aim was to study the effects, which were come from the length of reverse-variable lane, left-turn traffic arrive rate, left-turn green time and the reverse traffic arrive rate of the upstream intersection in the short-line grouped intersections, about the capacity of intersection,by Cellular...

Mathematical models of multimodal transportation are built by integrating transportation cost, conversion cost and punishment cost of time based the comparison of various modes of transportation. Model solutionalgorithm uses improved Genetic Algorithm added immigration factor, which can avoid the local...

In the paper, a visual and integrated design optimization platform based on Surrogate-in-Process (SIP), called FlowComputer, is developed to support modular process modeling in intuitive and explicit manners. Besides discipline analysis components and generic modular controlling components, several surrogate-related...

In this paper , the author designs a kind of adaptive dynamic programming to be used to optimize method of the parameters, and designs the frame structure in order to optimize traffic signal fuzzy logic controller. This paper chooses the evaluated neural networks and control module (fuzzy logic controller)...

Bispectrum Includes nonsymmetric, nonlinear information of singals, it can be used to describe nonlinear phase couplings, especially quadratic phase couplings. Bicoherence function can evaluate the degree of quadratic phase couplings quantitatively, the bicoherence spectrum of normal and fault singals...