61 Result(s)
within
Conference Paper
Chunyuan **
-
Chapter and Conference Paper
Improved Bidirectional Dynamic JPS Algorithm for Global Path Planning of Mobile Robot
This paper proposed to improve the bidirectional dynamic JPS algorithm in order to address the issues with the jump point search algorithm in the process of pathfinding, such as numerous path inflection points...
-
Chapter and Conference Paper
Study on the Mechanism of Pore Structure Change After Flocculation of Very High Water Content Dredging Slurry
When using cationic polyacrylamide (CPAM) to flocculate dredged sludge with extremely high water content, the pore structure change mechanism of the flocculated slurry cannot be accurately judged only by the a...
-
Chapter and Conference Paper
The Application of Graphic Composition Design in Computer Vision Art Teaching
The application of plane composition design in computer visual art teaching can be divided into two aspects: the first is to help students learn how to use computers and software tools; The second is to teach ...
-
Chapter and Conference Paper
The Impact of Daylight Illuminance on Students’ Seat Preference in a University Library in Bei**g
This paper aims to study college students’ feelings about the indoor daylight environment of the library. Taking a university library in Bei**g as an example, a combination of questionnaire and illumination m...
-
Chapter and Conference Paper
Research and Optimization of ALIP Performance Based on Improved Equivalent Circuit
Annular Linear Induction Pump (ALIP) has become an ideal structure for next-generation nuclear main pumps due to its advantages of no mechanical transmission parts and high structural reliability. The traditio...
-
Chapter and Conference Paper
The Effect of Oxygen-Coal Equivalent Ratio on the Rapid Preparation of Powdered Activated Coke in Low Oxygen Atmosphere
Oxygen is a good activator for the rapid preparation of the powdered activated coke (PAC) in the low oxygen atmosphere, and the oxygen-coal equivalent ratio is an important parameter in the preparation process...
-
Chapter and Conference Paper
Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction
Information diffusion prediction aims to estimate the probability of an inactive user to be activated next in an information diffusion cascade. Existing works predict future user activation either by capturing...
-
Chapter and Conference Paper
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users’ Dynamic Preferences for Information Diffusion Prediction
Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading prediction and malicious account detec...
-
Chapter and Conference Paper
Multi-scale Graph Convolutional Neural Network for Object Recognition from Point Cloud Data
How to make robots understand the point cloud data which is collected from the 3D sensor and complete the recognition has become a hot research direction in recent years. In this paper, we propose a new approa...
-
Chapter and Conference Paper
Optimized HybridSketch: More Efficient with Analysis and Algorithm
The sketch structure is widely applied in the network measurement field due to its limited memory usage and simple operation. However, When the less memory space the system occupied, the accuracy decreases. Ho...
-
Chapter and Conference Paper
Application of Computer “Virtual Reality” Technology in College Physical Training
With the continuous progress and development of the society, the computer technology continues to progress, one of the new technology has been widely used, is the computer “virtual reality” technology, it is a...
-
Chapter and Conference Paper
Structure-Aware Human-Action Generation
Generating long-range skeleton-based human actions has been a challenging problem since small deviations of one frame can cause a malformed action sequence. Most existing methods borrow ideas from video genera...
-
Chapter and Conference Paper
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatenate image region features and ...
-
Chapter and Conference Paper
Towards a Deep-Pipelined Architecture for Accelerating Deep GCN on a Multi-FPGA Platform
CNN (convolutional neural networks) have achieved great success in learning features from Euclidean-structured data. While lots of learning tasks require dealing with graph data. In these application scenarios...
-
Chapter and Conference Paper
Study on Evaluation Method of Teaching Quality Based on Cloud Model and D-S Theory
The Evaluation of teaching quality is a complicated project. It’s a typical problem of uncertainty. A design scheme of teaching quality evaluation method based on cloud model and D-S theory is proposed with th...
-
Chapter and Conference Paper
Fusion Convolutional Attention Network for Opinion Spam Detection
Opinion spam detection is a critical task in opinion mining. Current researches mainly focus on manually designing the text or discrete user features, or concatenating the review text and user features as the...
-
Chapter and Conference Paper
Multiview CNN Model for Sensor Fusion Based Vehicle Detection
The self-diving vehicle is a critical revolution in the automobile industry, transportation and people’s daily life. Generally, self-driving vehicles utilize the LIDAR, IMU, radar along with traditional optica...
-
Chapter and Conference Paper
Research on the Complexity of Binary Chaotic Sequences
Binary sequence of chaos has been widely applied in research and studies on secret communication. Binary chaotic pseudo-random sequence is obtained through assessing and quantifying chaotic sequence and the co...
-
Chapter and Conference Paper
Robust EMG Pattern Recognition with Electrode Donning/Doffing and Multiple Confounding Factors
Traditional electromyography (EMG) pattern recognition did not take into account confounding factors such as electrode shifting, force variation, limb posture, etc., which lead to a great gap between academic...
-
Chapter and Conference Paper
Winograd Algorithm for 3D Convolution Neural Networks
Three-dimensional convolution neural networks (3D CNN) have achieved great success in many computer vision applications, such as video analysis, medical image classification, and human action recognition. Howe...
