To effectively solve the problem of large positioning deviation and high positioning delay, an intelligent networked vehicle positioning method based on LiDAR is proposed. Based on a planar model, ground point cloud extraction is carried out and non-...

It is essential to improve the Role-Based Access Control (RBAC) method for controlling access to enterprise financial privacy information. First, this study proposes to solve the problem of information leakage and distortion in the acquisition of ...

In order to improve the normalised loss gain and recall rate of information retrieval results, the paper proposes a fast retrieval method based on multi-granularity semantic interaction understanding for legal judgment documents. After constructing a ...

To improve the security of private electronic communication information, the paper proposes an information storage encryption method based on fuzzy rules. Firstly, after establishing a private electronic communication information set, fill in the missing ...

A virtual data generation method based on scene flow prediction is proposed to address the problem of high false positives and inability to ensure feature consistency after virtual data encoding in simulation scenarios. Firstly, a variational auto-...

Owing to the problems of high recommendation error and low recommendation satisfaction in traditional network multimedia English teaching resources recommendation methods, a collaborative filtering-based network multimedia English teaching resource ...

In order to overcome the problems of low recognition efficiency and poor recognition accuracy in traditional recognition methods of pedestrian signs, a fast recognition method of pedestrian signs based on colour features and SVM is proposed. Firstly, the ...

Voice Activity Detection (VAD) distinguishes speech segments from noise or silence areas. An efficient and noise-robust VAD system can be widely used for emerging speech technologies such as wireless communication and speech recognition. In this paper, ...

In order to improve personalised satisfaction and recommendation accuracy of English resources, and effectively reduce recommendation time, this article proposes a personalised recommendation method for English online course resources based on hybrid ...

To overcome the problems of low fusion accuracy and high data loss rate in traditional IoT monitoring data fusion methods, the paper proposes a deep fusion method for IoT monitoring data based on extended Kalman filtering. Firstly, obtain monitoring data ...

The current online English learning resource push methods have problems of poor customer satisfaction, low reliability of pushed resources and low recall rate of resource pushes. Therefore, this paper proposes an online English learning resource push ...

This paper proposes an information security scheduling method for big data platforms based on ant colony algorithm. First, collect big data platform information and conduct noise reduction and compression processing on the information. Then, determine ...

Social media have opened a venue for online users to post and share their opinions in different life aspects, which leads to big data. As a result, sentiment analysis has become a fast-growing field of research in Natural Language Processing (NLP) owing ...

The hexagonal grid arrangement structure has important application values in volume graphics. The choice of geometric model has a great influence on the effect of voxelisation. This paper proposes a new three-dimensional hexagonal grid geometry system ...

Optimising multi-criteria engineering issues using a multi-objective evolutionary algorithm has received a lot of attention in recent years. In this work, a multi-objective enhanced version of the Imperialist Competitive Algorithm (ICA), named MOEICA, was ...

General search algorithms offer some solutions to solve and avoid the constraints of the finding shortest path problem. Ant Colony Optimisation (ACO) is a meta-heuristic search-based and probabilistic searching technique for an optimal path. However, ACO ...

Aiming at the problem that balance between abstract style and original painting content is not enough in traditional image style migration, this paper puts forward an improved method that based on the traditional Cyclic-Consistent Generation Adversarial ...

Can end rivet fracture is an important defect type that may arise during the manufacturing of metal cans used in the food industry. Thus, an inspection procedure must be performed to remove the defective can ends from the production line. Previous ...

This paper proposes a novel hyper-chaos-based colour image encryption technique and uses cryptanalysis to examine its resistance to intruders. The encryption technique uses hyper-chaotic sequence-dependent diffusion, combined with multi-layered scrambling ...

Copy-move forgery is the most common kind of tampering technique for digital images. This paper presents a novel hybrid approach, which uses the Speeded-Up Robust Features (SURF) point and characteristics of Local Feature Regions (LFRs) matching. First, ...