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In order to improve the forecasting accuracy and reliability of wind power, the precise prediction of wind speed plays a more and more important role. Thus, the ultra-short-term prediction of wind speed and its uncertainty analysis are studied in the paper. Firstly, based on the daily time series of...

The customer churn prediction model is required by many companies to predict the risk of customer churn and take necessary actions to prevent churn. Recently, machine-learning techniques are highly applied in customer churn prediction. In this paper, machine learning-based models are applied to the customer...

The positioning technology is of vital importance in Wireless Sensor Networks (WSNs), and its accuracy based on particle swarm optimization (PSO) is low. Therefore, this paper considers the problem of low positioning accuracy and slow speed of convergence by proposing a honeycomb shape localization algorithm...

Acid gas removal (AGR) units are widely used to remove CO2 and H2S from sour gas streams in natural gas processing. When foaming occurs in an AGR system, the efficiency of the process extremely decreases. In this paper, a novel approach is suggested to regularly predict the gas dew point temperature...

The electric arc furnace is an important smelting equipment in modern iron and steel enterprises. However, the load of electric arc furnace is a typical impactive and nonlinear load, and it has a huge effect on power system, electrical equipment and enterprise production. Based on the theory of peak...

As maintenance resources have periodicity, namely, rest must be after certain working time, maintenance task usually is pressing, which must be going on without interruption, how to give out maintenance task scheduling plan and rest time of maintenance resources at same time is a problems deserving discussion....

This study successfully leveraged chicken eggshells to fabricate sulfur-doped calcium carbonate(S/CaCO3) nanocomposite semiconductor materials. The synthesis process employed the sol-gel method through two eco-friendly steps. The first stage is the synthesis of calcium oxide nanoparticle precursors (CaO...

Most modern products/processes usually have several quality characteristics that must be optimized simultaneously; this is called a multi-response parameter design problem. To overcome shortcomings in the literature, including insufficient accuracy of second-order polynomials, subjective determination...

Basing on TG-DTG-FTIR technology, researching about kinetic activation energy E about eucalyptus and absorption bands and characteristic peaks of volatile product under the heating rate 10 min-1, 30 min-1, 60 min-1respectively. The experimental results show that eucalyptus pyrolysis process can be divided...

According to the characteristics of the short-term load forecasting, this paper established a integrated sample system. Through the analysis of various factors and load data to evaluate the effects of various factors on load forecasting, choosing the most appropriate forecast samples. PSO-LSSVM-Cloud...

At the current port of Binuangeun, Banten, there are strong currents and waves at the mouth of the Binuangeun fishing port where the breakwater is no longer functioning. So ships that will enter the port are often hampered due to currents and waves that occur. Design evaluation is done so that the damage...

This article presents a new technique to detect a premature atrial contraction (PAC). The technique employs a hybrid of particle swarm optimization (PSO) and fuzzy inference system (FIS), and is called PSO-FIS. In the detection electrocardiographic features are used for the inputs of PSO-FIS. In PSO-FIS,...

A power system stabilizer (PSS) is a device that provides additional damping torque to the power system during the mitigation of oscillations caused by various sorts of disturbances. Bio-Inspired Optimization Algorithms are used to construct PSS on a Single Machine Infinite Bus (SMIB) system and two...

The expensive price and complicated structure of gyrocompass cannot satisfy the need of present education. this paper analyzed the structure and function of a new type gyro compass TG-8000/8500. In unity 3D engine, using virtual reality technology to develop this type of gyrocompass simulation system....

BP neural network has two disadvantages, one is to fall into local minimum value easily; the other is the slow convergence. We propose in this paper an approach, including three main operations. Firstly, the algorithm of particle swarm optimization (PSO) is applied to improve back propagation (BP) neural...

Background: Bezafibrate and Eicosapentanoic acid (EPA) were known to decrease serum triglyceride. And, EPA administration for 5 years was reported to improve cardiovascular events by JLIT study. Cardio-ankle vascular index (CAVI) was a new index reflecting arterial stiffness from the origin of the aorta...

Obesity is one of the world's health problems. The increase in obesity is associated with increasing degenerative diseases such as hypertension. Hypertension is one of the main risk factors for mortality in the world. One of comorbid disease in patients with hypertension will increase mortility is dyslipidemia...

For depth information estimation of vision image, a blur parameter model of defocus image based on Markov random field (MRF) has been present. It converts problem of depth estimation into optimization problem. An improved chaos-PSO Algorithm has been applied to complete optimization problem, which prevents...

Pyrolysis properties of Dianchi lake sediment in China at 10 /min and 20 /min were investigated by TG. Comparison to the TG and DTG curves at different heating rates, the pyrolysis reaction at 10 /min was in advance and more completely than at 20 /min, thus the process of sediment pyrolysis could be...

Nowadays, energy management is an essential strategy for reducing the energy cost in the metro system. This paper discusses the energy efficiency management by control the speed of metro for reducing the energy consumption during the off-peak period of the Chalerm Ratchamongkol metro line or the Bangkok...

Non-Alcoholic Fatty Live (NAFL), a serious hepatopathy with a rising global prevalence, characterized through the simple excessive proliferation of triglyceride (TG) in the liver. It is triggered by an imbalance in fat metabolism by the reason of adiposity, fat-rich diet and insulin resistance (IR)....

This paper presents multi-threshold image segmentation approach based on K-means and firefly algorithm. This approach first use the firefly algorithm based on the characteristics of the groups search for optimization to obtain threshold as K-means initial clustering center. It could effectively overcome...

The Particle Swarm Optimization (PSO) and the Genetic Algorithm (GA) are two of the most powerful methods to solve the unconstrained and constrained global optimization problems. In this paper, these two methods are briefly introduced firstly, and then the online rolling optimization of industrial FCC...

Aiming at the problem that the standard particle swarm optimization algorithm has a slow convergence speed and easy to fall into the local optimum, the method of region-division is introduced to dynamically adjust the inertia weight and learning factors of the particle to achieve the balance between...

In order to improve accuracy of fault diagnosis of gearbox, adaptive mutation particle swarm optimization (AMPSO) algorithm is used to optimize weight of BP. According to fault feature, fault diagnosis is accomplished by optimized BP. The algorithm overcomes disadvantages that slowly convergence and...

A new simple and effective method for solving ill-conditioned linear systems is presented in this paper. This method tried mainly not to decrease the error caused in direct solving, instead, it tries to transfer this error to a medium variable. At the same time, a parameter is introduced. In order to...

particle swarm optimization (PSO) algorithm is often trapped in local optima and low accuracy in convergence. Following an analysis of the cause of the premature convergence, a novel particle swarm optimization algorithm based on neighborhood explored and chaos is proposed, which is called PCC-PSO. Chaos...

In many real-world optimization problems, the location of multiple optima is often required in a search space. In order to evaluate the solution, thousands of fitness function evaluations are involved that is a time consuming or expensive processes. Therefore, standard Particle Swarm Optimization (PSO)...

Efficient network resource utilization is crucial in the field of Virtual Network Embedding (VNE). The diversity of virtual topologies belong to various services providers (SPs) severely affects the efficiency of VNE algorithms and fairness between SPs. To achieve high resource utilization of the physical...

In order to reduce the equipment failure frequency and maintenance cost, equipment failure must be effectively predicted. Consider that the actual failure interval of equipments is to contribute to maintenance planning and scheduling, it is used to statistical analysis the failure trend. According to...

The polymer composites based on carbon nanotubes are of particular interests because of their excellent performance. In this work, carbon nanotubes (CNTs) were modified by concentrated acid solution which resulted in CNTs grafted with carboxylic acid (–COOH) and hydroxyl (–OH) groups (i.e. a-CNTs). The...

In this study, the aim was to evaluate visfatin level in Iraqi children and adolescents with obesity, as well as to study the association of serum visfatin level with different biochemical variables. Ninety participants were included. Participants’ ages ranged between (5 and 18) years. Sixty obese children...

The velocity updating formula of the standard particle swarm optimization (PSO) only considers two particles: the local best particle and the global best particle. The global best particle can be viewed as the optimal one of all local best particles. In order to improve the optimizing performance and...

Design parameters for the helical axis are heavily dependent on empirical performance data. In this paper, Optimization of Spiral Shaft Parameters for screw conveyor based on the Particle swarm optimization (PSO) is studied. The PSO algorithm is used to solve the problem of parameter optimization under...

The Chinese civilization has been bursting with vitality and vigor in the process of dialogue with other cultures, especially with the Western classic Bible. The “best” translation of the supreme master of Christianity is one of the core issues in the process of translating the Bible into Chinese. In...

Selection of coal fuel for coal-fired power plant is usually required to fulfil criteria such as calorific value, combustion characteristics, slagging fouling potential, and emissions potential. This paper describes coal combustion characteristics were studied by the thermogravimetric analyzer and differential...

Given the lack of innovative entrepreneurship education teaching resources configuration research, in order to make innovation in colleges and universities entrepreneurship education resource allocation rationalization, realize the maximization of the benefit evaluation index system of construction of...

Mobile video compression is an important method to translate multimedia from server to client, especially mobile video compress with fractal model is a good way to solution the unbalance computer capacity. Because computer capacity of servers are so powerful that complete encode of fractal video compress...

Samarium doped TiO2 photocatalyst TiO2-Sm was prepared by microwave hydrothermal method using Samarium nitrate and tetrabutyl titanate as raw materials. Degradation of methyl orange was used to photocatalytic reaction of TiO2-Sm respectively under the conditions of visible light, microwave (MW), ultraviolet...

Nowadays, Airfoil shape optimization are developed by many researchers. Especially, evolutionary method is taken to find out the shape of airfoil. The main objective work is finding the shape of airfoil that get the aerodynamic properties which good for lift and drag of the aircraft wing. PSO is the...

An accurate model for an underwater glider is important for the design of a high-performance underwater glider control system. The performance of such control systems is influenced by the parameter variation of underwater glider under real operation conditions. In this paper, the mass parameters of an...

Autonomous vehicles (AVs) rely on Vehicle-to-Everything (V2X) communication to ensure safe and efficient navigation. However, the increasing sophistication of cyber-physical threats—such as Simple, Bad-Mouth, and Zig-Zag attacks—threatens the reliability and security of these systems. This paper presents...

As feature subset selection and parameter tuning are important for the performance of SVM-based models, a PSO-SVM model was provided which uses particle swarm optimization (PSO) to optimize both a feature subset and parameters of SVM simultaneously so as to improve the prediction result. Finally, the...

In this paper, a new classifier, based on multi-sub-swarm PSO algorithm, is proposed. Natural number coding is used in the classifier to avoid the updating inconvenience of binary encoding that has different properties dimensions. Classification is done by parallel search of multi-sub-swarm PSO algorithm....

Improved PSO algorithms combined with Simulated Annealing are proposed in this paper to solve the problems of the original PSO algorithm. After that three further improvements are proposed respectively from the parameters adjustment, the organization structure and evolution, and the topology structure....

The perrhenates of Calcium, Copper and Lead used as oil additive were synthesized via aqua-solution method in this study, and their tribological properties were examined by UMT-2M testing machine. In addition, investigations were performed using XRD, SEM-EDS, DTA/TG to explain the possible mechanism...

This paper presents a novel approach for optimizing the hyperparameters of Artificial Neural Networks (ANNs) using metaheuristic algorithms to solve the inverse kinematics problem for a 3-DoF rehabilitation exoskeleton robot. The exoskeleton aims to assist in rehabilitation by enabling accurate control...

This study examines how different amounts of styrene–butadiene rubber (SBR) affects the mechanical and thermal properties of natural rubber (NR) composites. NR–SBR blends containing 0, 10, 20, 30, and 50 wt% SBR were prepared with a constant carbon black content (30 phr) and standard curing additives....

For satisfying performances of the job-shop scheduling (JSP) issues and as for those characteristics (such as easily falling into local optimum, insufficient stability and slower convergence rate) of the standard GSO, a PDE framework taking advantages of good global search performance, simple implementation...

The loss of population diversity is one of main reasons which lead standard particle swarm optimization (SPSO) to suffer from the premature convergence when solving complex multimodal problems. In SPSO, the personal experience and sharing experience are processed with a completely random strategy. It...