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A virtual inertia optimization framework based on improved deep Q network (DQN) is proposed to solve inertia attenuation and frequency instability problems caused by high proportion wind power grid integration. By integrating dynamic perception and decision-making mechanism of deep reinforcement learning,...

Cable-stayed bridges have received extensive applications due to their superior structural efficiency for large spans and excellent aesthetic benefits. A well-optimized set of cable forces are critical for achieving the desired structural responses of a completed cable-stayed bridge under the specified...

In this experiment, Sm (NO3) 3•6H2O, hexamethylene tetramine (HMT) and glucose as the main raw material, nanosized Sm2O3 was prepared by hydrothermal method. Sm2O3 samples were characterized by XRD, SEM, FT-IR, TG-DTA and DRS respectively. It found that plus C elements could increase the crystallinity...

Bearing is an important part of wind turbine. In the past few years, there have been many intelligent fault diagnosis algorithms for it. Support vector machine is one of them. But it also has many shortcomings for fault diagnosis. For example, how to select kernel and parameters makes the classifier...

An innovative image watermark insertion and extraction method based on EDA-PSO is proposed to improve both the imperceptibility and robustness of the image watermark. The insertion and extraction of the watermark is performed in the discrete cosine transform domain (DCT). In the process, Watson perceptual...

Facing the condition that the inefficient training of traditional classifiers in the classification process of mammography, a classification method is proposed combining image processing and supervised learning. Firstly, the improved adaptive median filter enhances the image contrast. Then, according...

A fast-growing population, rising number of smart cities, and exponential usage of electronic gadgets have all contributed to a growing demand for electricity, possibly causing menacingly high levels of carbon emissions and atmospheric pollution in India. These energy sources do not release any greenhouse...

Oil and gas are energy sources that experience the fastest growth among other energy sources. The oil recovery process can be divided into three recovery stages, namely primary oil recovery, secondary recovery and tertiary recovery or commonly called Enhanced oil recovery (EOR). Enhanced oil recovery...

Based on a real producing scenario, we established a resource-constrained multi-project scheduling problem with planned resource unavailability model (RCMPSP-PRU) to minimize the makespan. Different from the traditional resource-constrained multi-project scheduling model, RCMPSP-PRU introduces some new...

Optimization problems have become interesting problems to discuss, including the knapsack problem. There are many types and variations of knapsack problems. In this paper, the authors introduce a new hybrid metaheuristic algorithm to solve the modified bounded knapsack problem with multiple constraints...

Objective: Discuss the regulating effect of polydatin on the blood lipid of rat with with hyperlipemia. Method: rats were fed with the high-fat feeding method; the early atherosclerosis (AS) model of rat was established; after successful modeling, rats were given by gavage high-dose, medium-dose and...

Aiming at the development of ship information and intellectualization, this paper researched the control law design problems of the network control system under total ship computing environment (TSCE). Firstly, we analyzed and constructed the computing environment network architecture for the development...

This study investigates the influence of TiO₂ nanoparticles on the thermal behavior of polystyrene (PS) and high-density polyethylene (HDPE) nanocomposites. PS/TiO₂ and HDPE/TiO₂ films were prepared using a solution mixing technique followed by hot pressing, and their thermal properties were examined...

Scientific and technological innovation has become a powerful lever to promote economic transformation and development. As a new force to promote regional innovation and development, new R&D institutions have boosted regional economic transformation and upgrading to a certain extent. How to evaluate...

Recently the order scheduling (OS) problem is concerned by the research community. However, the OS study with more than one criterion is only few. In view of this limitation, we address an OS problem in which the objective is to find a schedule to minimize the sum of total flowtime and the maximum tardiness....

Hough transform (HT) is a well estab-lished method for curve detection and recognition due to its robustness and in-sensitiveness to noise, and its parallel processing capability. However, HT is quite time-consuming. In this paper, an eliminating particle swarm optimization (EPSO) algorithm is studied...

Aiming at the two terrible drawbacks of slow convergence and local optimal solution in the training process of BP neural network, particle swarm optimization algorithm was introduced to the training process of the BP neural network to improve its converge property, so a PSO-BP neural network was established,...

Indonesia’s rising electricity demand and the need to reduce greenhouse gas emissions require strategic long-term energy planning. This study proposes an integrated framework that combines ARIMA–Lasso forecasting with Par-ticle Swarm Optimization (PSO) to project electricity consumption and optimize...

Parkinson's disease is a disorder of the nervous system that causes impairment and changes in cognitive behavior. Voice analysis has become a crucial tool for diagnosing neurological conditions like PD, with symptoms typically appearing in people aged 50 or older. This research suggests new methods...

Breast cancer occurs to over 8% women during their lifetime, and is a leading cause of death among women. Sonography is superior to mammography in its ability to detect focal abnormalities in the dense breasts and has no side-effect. In this paper, we proposed a novel automatic segmentation algorithm...

This study addresses material delivery and warehouse management challenges in continuous manufacturing by proposing an integrated system with a hybrid A*-PSO algorithm. The algorithm combines Particle Swarm Optimization and A* to optimize obstacle-aware path planning and dynamic task allocation in grid-based...

Tomato stands out as one of the foremost horticultural crops worldwide, including in Indonesia that profoundly influences the agricultural economy. Tomato leaf disease poses a critical and direct threat to quality, yield, and overall production of tomato crops, demanding swift attention and action. Manual...

Electricity power load forecasting is the basis of power system planning and construction. In order to improve the precision, this paper proposes a model, in which the parameters in least square support vector machine (LS-SVM) are optimized by Quantum-behaved Particle Swarm Optimization (QPSO) and considering...

Hyperlipidemia can increase the risk of cardiovascular diseases, such as coronary heart disease (CHD), the number one cause of death worldwide each year. Therefore, needed efforts to reduce the prevalence of cardiovascular disease, one of which is parijoto fruit (Medinilla speciosa), which has a high...

Intersections are public areas where two or more road lanes cross and may experience disagreements or conflicts. Based on observations, the W. Monginsidi street - Tg Manimbaya street intersection is one of the unsignalized intersections that often experiences conflicts when vehicles turn, especially...

At present,3-D model can be build through point clouds data which is quickly get by laser scanning technology. Most of the researches on registration problems are focused on feature matching method. This paper discusses a method with global optimization algorithm. In order to solve the problem efficiently,...

Particle swarm optimization (PSO) guides its search direction by a linear learning strategy in which each particle updates its velocity through a linear combination among its present status, historical best experience and the swarm best experience. Such a velocity update strategy is easy to achieve,...

The conception of welfare state places public service as state responsibility to run it optimally for the welfare of its people. Public service in the welfare state conception is the responsibility of the state, including the public transport of railways which is managed by PT Kereta Api Indonesia (Persero)...

Curve fitting is a fundamental task in many research fields. In this paper we present results demonstrating the fitting of 2D images using CUDA (compute unified device architecture) on NVIDIA graphics processors via particle swarm optimization (PSO). Particle swarm optimization is particularly well-suited...

Objective: To explore the expression level and correlation analysis of fibroblast growth factor 21 (FGF-21) and its biochemical indexes in serum of patients with hypothyroidism. Method: To collect 168 cases of patients in the Affiliated Hospital of Beihua University, 62 cases of hyperthyroidism group,...

Assembly line is widely used in manufacturing system and assembly line balancing problem directly affects the productivity of the whole manufacturing system. In the actual situation of assembly process, optimizing a certain goal in the process of actual assembly individually may cause the neglect of...

For the uncertain change characteristics of transition matrix parameters in complex FPN system,this paper presents a parameters optimization algorithm based on CDEDPSO.This article focuses on the weight, threshold and certainty of FPN optimized model and these parameters are analyzed, improved and simulated...

In order to facilitate user access to e-commerce site, improve site access rate, meet the needs of users and maintain website performance, this paper is to establish a structural optimization model and to provide algorithm for ecommerce business by starting from structural optimization and adjustment...

The present research work discuss about a hybrid DC-DC buck converter with QFT controller which is intended to reduce the power component voltage stress. The conventional buck converter with split switched inductor and cross connection of uni-direction switch results in Cross Inductor Hybrid dc-dc buck...

In today's industrial scenario, the high cost involved in manufacturing is the major concern apart from the environmental factors. With the manufacturing cost reaching sky high levels, the use of a suitable optimization technique has become one major requirement while designing any manufacturing process....

The difficulty that is experienced by most Chinese language teachers is to determine which Chinese language textbooks are suitable to be applied to Indonesian learners. In Indonesia, most of the Chinese books, including the Chinese Semantic textbooks, are still in full Chinese or English. Learning Chinese...

Ground settlement is a critical issue in underground construction. Ground settlement prediction is important to identify serious damage to adjacent structures caused by settlement exceed the standard. However, conventional methods have some limitations due to nonlinearity and non-stationarity of settlement...

As low voltage line loss calculation is the difficulty of line loss, accurate prediction of low voltage line loss rate can guide energy-saving and consumption-reducing work effectively. In this paper, the support vector machine (SVM) Parameters Optimization Algorithm based on particle swarm optimization...

As a two-dimensional (2D) nanostructure, reduced graphene oxide (rGO) has high specific surface area and excellent conductivity. In this paper, we obtain the TiO2/rGO (TG) composite via a simple mechanical stirring the mixtures of anatase TiO2 nanoparticles and graphene oxide (GO) nanosheets followed...

In this paper, based on the particle swarm optimization in the environment of all the particles and their own search experience, using immune network mechanism of the clonal selection mechanism, this paper proposes a particle swarm optimization algorithm based on immune network mechanism. Based on the...

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...

In the Islamic world, as a part of the faith, every Muslim must believe that every time there is a disease, Allah SWT has also sent down the medicine. The current issue is that the extraction of information related to diseases and drugs from the Qur’an and Hadith has not been optimal, given the increasing...

Data processing and optimization are two major challenges in data analysis such as clustering. In practice, data often contains missing values that must be handled appropriately. This research provides an innovative approach to clustering incomplete data using Interval Kernel Fuzzy C-Means (IKFCM) technique...

The objective was to study the changes in vascular function of HIV-1 (subtype C) infected black Africans over three years. In a longitudinal study (2005–2008) we compared the vascular function of 140 HIV+ (newly diagnosed) black Africans from the North-West province, South Africa. Seventy seven of the...

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...

PSO particle swarm optimization algorithm in combination with Kling–Gupta efficiency coefficient KGE objective function is introduced to calibrate the model parameters based on Xiangxiang station measured discharges and MOD16 evapo transpiration data. Moreover, p-factor, r-factor, R2, NSE and PBIAS are...

The rising demand for sustainable urban transportation has led to the growth of Eco-Friendly Vehicle Routing Problems, which aim to minimize environmental impacts while optimizing routing decisions. In smart cities, the integration of hybrid optimization techniques has recognized to be a promising solution...

Particle swarm optimization (PSO) and differential evolution (DE) algorithm are biologically inspired computing, which simulate the behavior of survival of the fittest from the systems of nature biology, ecology and so on. As heuristic random algorithms, they have characteristics of self-adaptation,...

Type 2 Diabetes Mellitus (T2DM) is a chronic disease indicated by blood sugar level disorder and also influenced by genetic and environmental factors. Many diabetes patients experience dyslipidemia, which is known as diabetic dyslipidemia. In the latest research, SLC2A1 gene polymorphism is strongly...

In order to study the back analysis accuracy of different algorithms of neural network for back analysis of tunnels surrounding rock. Firstly, the main parameters influencing the deformation of tunnels surrounding rock are analyzed by orthogonal test. Secondly, a FLAC3D numerical model of the tunnels...