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Nowadays, the increasing instability of the global economy (such as economic crises happen frequently, data explosion, etc.) has generated the demand for stock market dynamics prediction. Among them, the stock market has the characteristics of nonlinear, violent fluctuations, and easy to be affected...

Safety is crucial in the shipping industry, however in the current export container activity there are many factors that can cause an accident. To prevent an accident, regulation play an important role. With regulation, safety can be implemented to decrease the risk. Therefore, IMO has amended the SOLAS's...

This paper proposes a scheme for resource allocation of taxi. Using SOM neural network divides the area into several areas, and calculating taxi transfer number for each area by using a method of dynamic subsidy and GA-PSO algorithm. Before and after comparing with the scheme of the taxi demand matching...

3-triethoxysilylpropylamine (KH550) polymer was coated on quartz fibers by a simple dipping process without any complex chemical treatments in order to increase the bonding strength between quartz fibers and boron doped silicone resin matrix. The effect of coating on the interface of quartz fiber reinforced...

In this paper, the Particle Swarm Optimization (PSO) algorithm converges too fast, easy access to local convergence, leading to convergence accuracy is not high, to study the particle swarm algorithm improvements. Some parameters in the traditional PSO algorithm need to be predefined by tests, so the...

Polyurethane prodrugs with different drug contents were synthesized using polycaprolactone, hexamethylene diisocyanate and ciprofloxacin. The thermal analysis of the materials was carried out by DSC and TG. Results showed that the crystallinity of the materials reduced as the drug contents increased...

A novel adsorbent was prepared by grafted the Dibenzo-18-Crown-6-Ether (DB18C6) on D564 resins and characterized by Thermogravimetry (TG) and Fourier Transform Infrared Spectroscopy (FTIR). Adsorption of Sr2+ from aqueous solutions was investigated in batch method as a function of contact time, concentration...

Focusing on the just-in-time (JIT) operations management, earliness as well as, tardiness of jobs’ production and delivery should be discouraged. In accordance to this philosophy, scheduling problems involving earliness and tardiness penalties are very critical for the operations manager. In this...

In order to choice reasonably cutting head parameters for a hard-rock roadheader, to improve its cutting performance, to make better the economy of cutting, taking a rotating speed, a horizontal swing speed, an average diameter and a length of a cutting head as design variables in the paper, objective...

In order to study the pyrolysis process of Ethylene Propylene Diene Monomer (EPDM) insulation material and its compression mechanical behaviour under high strain rates, the thermal stability of EPDM was analysed by TGA in the first place. Based on the TG curve and the thermal degradation temperature,...

This paper deals with the problem of the electricity consumption forecasting method. A MPSO-BP(modified particle swarm optimization-back propagation) neural network model is constructed based on the history data of a mineral company of Anshan in China. The simulation showed that the convergence of the...

With microcrystal muscovite (MCM) as the carrier, butyl titanate as the source of titanium, acetic acid as the inhibitors, copper nitrate as dopant, Cu-doped nano-TiO2/MCM composites were prepared by the sol–gel method. Then the composites were calcined at 500 oC for 2 hours. The samples were characterized...

The safety coefficient based on finite element method (FEM) has not corresponding evaluation standard, which limits the usage of FEM in roller compacted concrete dam (RCCD). In order to popularize FEM to RCCD more widely than ever, it is necessary to study the evaluation standard for RCCD safety coefficient...

First, this article analyzes the Application layer Distributed Denial of Service(DDoS)'s attack principle and characteristic. According to the difference between normal users' browsing patterns and abnormal ones, user sessions are extracted from the web logs of normal users and similarities between different...

To solve the problem in function optimization using Particle Swarm Optimization algorithm (PSO), this paper propose an improved PSO algorithm adopting gradient information. There are some merits such as simplicity, high effectiveness and so on about function optimization using PSO algorithm. But some...

As an important part of the study of network security, Intrusion detection has aroused special attention of scholars from home and abroad. PSO-based SVM network intrusion detection is innovatively adopted in the paper where PSO is applied to support the parameters of SVM. Multi-classification is carried...

This paper studies the computer network security problems. There are nonlinear relations among the evaluation indexes, and it is difficult for an accurate mathematical model to describe the nonlinear relationship. In order to improve the evaluation accuracy of computer network security, we put forward...

Artificial Bee Colony Algorithm (ABCA) is a novel swarm intelligence algorithm which a colony of artificial bees cooperate in finding good solutions for numerical optimization problems and combinatorial optimization problems. Traveling Salesman Problem (TSP) is a famous combinatorial optimization problem...

In "Internet+" era, how to real-time monitoring and build effective pre-warning systems of the network public opinion crisis has become a required courses for government departments and enterprises. This paper sufficiently considers the development,changes in laws and characteristics of the network public...

It is difficult to collect bubble-wake signals from different ocean environments caused by various types of ship. One-class support vector machine (OCSVM) can make decision based on incomplete information. This paper found an OCSVM detection model which use only reflected signals without a bubble wake...

MgAl2O4 spinel, as support of the 10Ni/MgAl2O4 catalyst which used for coke oven gas dry reforming, was prepared by sol-gel, coprecipitation and urea hydrolysis method. The catalysts were prepared by impregnation. The MgAl2O4 and 10Ni/MgAl2O4 were both calcined at 800 oC for 5 h and the samples were...

Based on weibull distribution model parameters of maximum likelihood estimation process trival, is obtained by using the Newton method and adopting the particle swarm optimization algorithm is easy to fall into premature and program variables is more complicated problems in the implementation, put optimization...

The performance of PID controller depends on the combination of the control parameters. This paper puts emphasis on the study of particle swarm optimization (PSO) in parameter optimization for PID controller. Firstly, according to a great amount of experiment, a set of formulas were proposed in dealing...

Grey wolf optimizer (GWO) is a relatively novel stochastic optimization technique which has bee shown to be competitive to other methods. However, the control parameterof GWO is decreased from 2 to 0 over the course of iterations. Inspired by particle swarm optimization (PSO), a novel nonlinear adjustment...

Several SO3H-functionalized acidic ionic liquids (ILs) were synthesized by two-step method, using 1, 3-propane sulfone and 1, 4-Butanesultone as raw materials, respectively. It is noteworthy that the ionic liquid using 2-ethyl-4-methylimidazole as source has not been reported. Esterification of 1-butanol...

The varieties and interspecies hybrids of potato selected on the basis of Ural Scientific Research Veterinary Institute Federal State Budgetary Scientific Institution "Ural Federal Agrarian Scientific Research Centre, Ural Branch of the Russian Academy of Science" (Ural national research institute of...

Aiming at the complex function extreme value and non-linear system model parameters adjust, a hybrid optimization algorithm based on chaos GA combined with PSO is proposed in the paper. With application of applying experience of PSO, sharing information of GA, and traversing pathway of chaos, the adaptive...

When interfered by lateral acceleration or uneven road surface, a vehicle is prone to rollover. In this paper, the active anti-roll bar (hereinafter AARB) is self-designed and a six-degree-of-freedom vehicle dynamic model is established for rollover prevention and ride comfort improvement. In order to...

In order to address the shortcomings of traditional teaching quality evaluation systems, researchers have implemented PSO neural network technology to develop a teaching quality evaluation system for colleges and universities. This system utilizes PSO neural network technology, with teaching evaluation...

The organosilicon-acrylic resin/LDHs nanocomposite was prepared from acrylate, organosilicon Mg-Al-AA-LDHs as well as emulsifier etc with emulsion polymerization methods. The samples prepared were characterized by optical , thermal and gas barrier capabilities testing, Results show the samples were nanocomposion...

Rigid polyurethane foams (RPUFs) were prepared by heteroaromatic polyol as the matrix polyol, methylphosphonate (DMMP) was added to improve its flame retardancy, and the relative performances were studied. Thermal stability were measured by dynamic mechanical analysis (DMA) and thermo gravimetric analysis...

Strapdown three-axis magnetometer needs calibration before it can be properly employed for navigation purposes. Many scalar calibration methods have been proposed to determine the calibration parameters. However, most calibration approaches seldom describe the influence of sampling distributions on the...

A new node localization approach of Wireless Sensor Networks based on improved fruit fly optimization algorithm is presented to optimize the location accuracy. This approach reduce the distance error between the unknown node and beacon node by improved fruit fly optimization algorithm. Then, instruct...

In order to solve the problems of low operating efficiency and high operating cost of pumping stations in wastewater treatment plants, a model with the minimum daily power consumption cost of pumping stations as the optimization objective is established. Taking the improved particle swarm optimization...

Sepiolite as catalyst carrier material, now commonly used in low temperature, for high temperature applications was very rare. ZrO2/sepiolite precursor was prepared by Chemical precipitation method, catalyst coating material was prepared at 600 , the samples were aged at 1000 . The powders with and without...

By researching on Shanyang County, Shaanxi Province which owns plenty of villages, this paper builds a evaluation index system of the rural residential land potential consolidation. With the aid of the BP neural network model of particle swarm optimization and the hierarchical clustering analysis method,...

Because of the strong alkalinity and large amount of heavy metals in red mud, many countries have paid more attention to red mud. According to the traditional treatment method, an innovative scheme is proposed in this paper, which uses red mud (RM), ground granulated blastfurnace slag (GGBS), fly ash...

For secure biometric verification, most existing methods embed biometric information directly into the cover image, but content correlation analysis between the biometric image and the cover image is often ignored. In this paper, we propose a novel biometric image hiding approach based on the content...

In this paper, the optimization of antenna location of a distributed MIMO (DMIMO) systems in a circular cell based on advanced particle swarm optimization (PSO) algorithm is analyzed. Firstly, a composite fading channel including small scale fading, path loss and shadow fading is established; then, a...

For analog VLSI implementation of continuous Gaussian wavelet transform based on CMOS integrator, a novel method for Gaussian wavelet approximation based on swarm optimization algorithm is proposed. Gaussian mother wavelet is approximated by a parameterized class of function. By using a particle swarm...

Path planning is a critical component in autonomous robotic navigation, enabling a robot to determine the most efficient route between two points while avoiding obstacles. This study presents the implementation of a Particle Swarm Optimization (PSO)-based path planning algorithm on a three-wheeled omniwheel...

According to requirements of the leaves position precision control of multi-leaf collimator (MLC) in the process of radiotherapy, the structure and working principle of the multi-leaf collimator of conformal radiation therapy apparatus was described. The motor that drives the leaf of the MLC was taken...

Particle Swarm Optimization (PSO) is one of the most popular optimization algorithms, but it suffers from the contradiction between the exploitation ability and the exploration ability. This paper presents a scheme that introduced main swarm to search for global solution and sub-swarm which was named...

Successful blogs receive high ratings and generate marketing value. What factors contribute to the success of a blog and how to predict its success level are questions worth discussing. A hybrid swam intelligence approach is proposed in this study to predict blog success level. First, this study develops...

This paper introduces MEMS accelerometer static calibration method based on the PSO algorithm. According to the mathematical model of the MEMS accelerometer, the PSO algorithm is applied to estimate the mathematical model, including scale factors, bias, and installation errors. The method does not require...

In this paper, a composite communication network is designed to solve the problems of bandwidth bottleneck and high latency in chain-type wireless communication network for transmission line online monitoring. A theoretical planning model of optical fiber separation placement is formulated with object...

Conditional nonlinear optimal perturbation (CNOP) is an initial perturbation evolving into the largest nonlinear evolution at the prediction time. It has played an important role in predictability and sensitivity studies of nonlinear numerical models. Generally, the solution for CNOP is the spectral...

Mobile ad-hoc network (MANET) is a dynamic collection of mobile computers without the need for any existing infrastructure. Nodes in a MANET act as hosts and routers. Designing of robust routing algorithms for MANETs is a challenging task. Disjoint multipath routing protocols address this problem and...

Intrusion detection systems (IDSs) are one of the promising tools for protecting data and networks; many classification algorithms, such as neural network (NN), Naive Bayes (NB), decision tree (DT), and support vector machine (SVM) have been used for IDS in the last decades. However, these classifiers...

Support Vector Machines (SVM) is a practical algorithm that has been widely used in many areas. To guarantee its satisfying performance, it is important to set appropriate parameters of SVM algorithm. Sequential Minimal Optimization (SMO) is an effective training algorithm belonging to SVM, so is LS_SVM....