To the optimization control problem of traffic signal timing of single intersection, an optimization method based on the Clustering Genetic Algorithm(CGA) was put forward. In a cycle, we take the total number of queue vehicles of corresponding release lane at the end of each phase as the performance...

Currently, tourism plan cannot fully consider tourists’ individual interests. And routes planned cannot meet tourists’ best motive benefits. As to the problems, this paper brings forward tourism route plan algorithm basing on sight spot buffer motive iteration. Firstly, sight spot buffer model is set...

In this paper, for determining recognition target class problem in inaccurate or imprecise environments, we designed triangular fuzzy number pattern recognition algorithm based on closeness degree. Firstly, the attribute values of each standard test set and the sample set are converted into triangular...

In view of those characteristics such as nonlinearity and high dimensional features for mechanical concurrent faults and any conventional classifier being not able to fit multi-output needs, a concurrent fault classification method based on PSO-MRLSSVM was put forward, where the simple and fast searching...

In this paper the optimization for the flow field of a preliminary design of SCR device was studied of a cement plant production line with Fluent, which mainly aims to solve the problem of uneven distribution of velocity field by designing the gate leafs’ and rectifiers’ layout. To solve the problem...

Support Vector Machines (SVM) is a machine learning algorithm basing on the statistical learning theory. In this study, SVM is used for the prediction of temperature field induced by natural convection in a cylindrical enclosure. Because of the large amount of computing and poor real-time characteristics...

A teaching-learning-based hybrid genetic-particle swarm optimization algorithm is proposed for multi-objective flexible job shop scheduling problem. It includes three modules: genetic algorithm (GA), bi-memory learning (BL) and particle swarm optimization (PSO). Firstly, in the BL module, a learning...

Hot words are the topic of concern of the netizens, which can help the management department to monitor the public opinion of the network. Due to the large degree of freedom, irregular syntax and immediacy of data, it is difficult for data engine to grasp text hotspots accurately through traditional...

Distribution is a link which is directly connected with the consumer in the logistics activities. The distribution cost accounts for a fairly high proportion in the logistics cost of the enterprise. Whether the distribution line arrangement is reasonable or not has great influence on the distribution...

Replica selection algorithm for streaming media in Cloud-P2P (C2P2RSA2) is proposed in this paper. In replica selection model based on ant colony, a replica select metrics (replica node network bandwidth, network delay, etc.) is mapped by ant colony pheromone. The replica pheromone probability formula...

According to the cloud-p2p storage system model, cloud environment 3D streaming media storage algorithm is proposed. It includes 3DVSCP (3D video storage based on cloud-p2p algorithm) and UDCP (user on demand based on the cloud-p2p algorithm).3DVSCP algorithm to add video to reduce the load of the server,...

This paper studies a flexible job shop problem with parallel machines considering release time. The objective aims to minimize the maximum flow time. A property which can reduce the dimension of solution space is proposed. A branch-and-bound algorithm is proposed to solve the problem. Through numerical...

The hidden model is a typical state prediction model, which has been widely used in the field of industrial production state monitoring in recent years. This paper analyzes the basic principle of HMM, puts forward three basic algorithms for fault prediction of communication system, analyzes the structural...

An improved collaborative filtering recommendation algorithm is proposed to solve the problem of sparse and low recommendation accuracy of traditional collaborative filtering recommendation algorithm. User preferences and user trust relationships are used to calculate the user's preferences for the project,...

This paper presents an automated hydraulic optimization approach for impeller of a reactor coolant pump (RCP) combining a blade geometric modeller and parametric generator with automatic CFD solution procedure and multi-objective genetic algorithm. The approach depends on the cooperation between a genetic...

In this paper, the indoor pedestrian location algorithm is investigated, in which we proposes a novel WiFi/MEMS integration structure for indoor navigation to fuse the information from WiFi and MEMS sensors. In WiFi part, aiming at the problem of large amount of calculation in the algorithm, a partition...

In this paper, to determine parameters of the CT system and reconstruct images, the geometric model of the template is used to calculate its parameters, and the image is reconstructed based on the Filtered back projection algorithm, which contains the RADON inverse transform and the usage of calibrated...

Two-dimensional code has shown its impressive performance on mobile payment and advertising marketing. To ensure that the two-dimensional code is correctly identified by recognition devices, the traditional two-dimensional code must be attached to the surface of the plane of the object. However, if attached...

Though several algorithms inspired by theoretical immunology have been applied to the domain of pattern classification, little focus has been placed on the issues that simultaneously optimize more than one objective-functions. Here, an efficient multi-objective automatic segmentation framework (MASF)...

Aiming at the problem that the existing 3D core similarity evaluation methods cannot effectively evaluate gray core images, we proposed a similarity evaluation algorithm based on Pattern Density Classification Function (PDCF). First of all, the 3D template is used to extract the texture patterns of 3D...

Hyperspectral remote sensing sensors can capture hundreds of narrow contiguous bands and provide plenty of valuable information. Duo to the high-dimension characteristics of hyperspectral data, band selection plays an important role in the field of Hyperspectral Image (HSI) classification. In this paper,...

Polar coding is a code construction method that can achieve the capacity of symmetric binary-input discrete memoryless channels (B-DMC). Polar codes in standard form are non-systematic polar codes (NSPCs). The codes are susceptible to error propagation under successive cancellation (SC) decoding while...

Most of network security configurations allow the DNS data to pass through. Therefore, the crackers often embed malware commands in DNS data to avoid the security detection by the Internet facilities. Especially, some malwares, such as the botnet, generate a large number of spare domain names using a...

This paper issued how to evaluate the operational effectiveness of warship integrated communication System. At first , it constructed the indicator system with evaluation factors mainly related to operational ability. And then based on the grey relational projection model, it calculated the grey relational...

Target detection in the presence of mainlobe jamming is a traditional problem for radar signal processing. To solve this problem, methods based on a single array or distributed auxiliary arrays were considered recently. However, the performance is limited by mainlobe resolution or side lobe level, which...

This paper presents an automatic method to generate a hex-dominant hybrid mesh with the input being a Delaunay tetrahedral mesh. In this method, we replace the interior tetrahedra in the original mesh with regular hexahedra, and fill the cavity between the boundary tetrahedral and the interior structured...