The most common cause of electric motor failure is the bearings, and so methods for fast accurate diagnosis bearing are urgently needed. Traditional fault have high uncertainty complexity since they require manual extraction features. Deep learning has shown good performance in electrical equipment detection, it can directly complete end-to-end faults, avoiding human involvement. Here, a new method presented which combines Gramian angular field (GAF) image coding, extreme machine (ELM)...

ABSTRACT Increasing climate change and pollutant discharge induce constant challenges to crops, while crops are vulnerable environmental stresses. In this study, a carbon dots (CDs) was developed that significantly increased rice seedling growth, successfully reduced the inhibition of heavy metal cadmium (Cd), salt (NaCl), herbicide 2,4-D stresses on growth by pre-spraying. The root seedlings responded specifically CDs exposure, with significant improvements in biomass, architecture, cell...

For improving the intersection traffic capacity and reducing vehicle emission, solution that aim at multi-object optimization was presented by using genetic algorithm (GA), urban microscopic simulation model (UTMSM) combined with GA developed. The performed result indicated method in this paper effective to get better signal control effects improve environment.

Due to the perilous conditions in coal mine accidents, trapped people need be rescued as soon possible. The danger and complexity of this environment have brought great difficulties for search rescue. emergence rescue robots has addressed problem, improvement their search-and-rescue ability is a key concern robot designers. Based on previous experience tracked mobile robot, paper proposes new solution via addition adjustive rocker arms. For purpose, hydraulic unit installed between arms...

For more accurately predicting and evaluating the vehicle emission at complicated traffic condition, paper set up an urban microscopic simulation model. Base on model one typical intersection in Wuhan city was simulated analyzed paper. Furthermore, simulating instantaneous driving behavior during peak hour were obtained. Compared data with field about bus behavior, results showed that could preferable reflect real behavior. At same time interface developed to couple IVE (international...

Abstract This paper focuses on the Sort & Search method to solve a particular class of single criterion optimization problems called multiple constraints . general enables derive exponential‐time algorithms for ‐hard problems. In this paper, is further extended multicriteria which set Pareto optima enumerated. Then, application new some scheduling proposed, leading those

Subject-driven generation has garnered significant interest recently due to its ability personalize text-to-image generation. Typical works focus on learning the new subject's private attributes. However, an important fact not been taken seriously that a subject is isolated concept but should be specialization of certain category in pre-trained model. This results failing comprehensively inherit attributes category, causing poor attribute-related generations. In this paper, motivated by...

Flight simulation training is one of the most important methods in early-stage civil aviation flight training. In this regard, competitions are effective tools for evaluating skills trainees. study, a model developed trainees by integrating GBDT (Gradient Boosting Decision Tree), PSO (Particle Swarm Optimization), and CNNs (Convolutional Neural Networks). data from simulations employed Initially, performance scores gathered simulated competition platform. The algorithm then applied to filter...

To accurately discover the convoy pattern among passengers in interior space of cruise, UWB positioning is employed cruise to provide on-board personnel positioning. An improved Haussdorff-DBSCAN based scheme proposed find trajectory clustering passengers, considering characteristics location data and semantic sequence passenger-wise location. In first phase, traditional Haussdorff distance calculation method cannot precisely express similarity between two trajectories. The information added...

This paper proposes an exact exponential algorithm for the problem of minimizing total tardiness jobs on a single machine. It exploits structure basic branch-and-reduce framework based well known Lawler's decomposition property. The proposed algorithm, called branch-and-merge, is improvement technique with embedding node merging operation. Its time complexity O*(2.247^n) keeping space polynomial. branch-and-merge likely to be generalized other sequencing problems similar properties.

In order to maximize the evacuation capacity for cruise ship without sacrificing utilization rate of interior space in cruise, it is necessary undertake optimization analysis layout functional zone. Based on classic social force model, this paper develops impact model zone by combining improved with evacuating feature constraint. The takes into account motion features occupants different during process, proposes concept influential parameters between regions, and corrects driving-force basic...

Unmanned surface vessel(USV) is a type of vessel that does not require manual operation, which kind intelligent ocean robot. It mainly used to perform dangerous and unsuitable tasks for manned vessels. The key technologies USV are different from general robots because their working environment mission characteristics. unmanned vessels include: design technology, control deployment recovery technology energy propulsion technology. This paper summarizes analyzes the current situation research...