133 Result(s)
within
Conference Paper
**cheng Yu
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
Improvement of Flashover Voltage of Epoxy Resin by Large-Area Dielectric Barrier Discharge
Insulation materials are widely used in various fields such as high voltage insulation, power electronics and aerospace. However, as the voltage level increases and the application area expands, the surface of...
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Chapter and Conference Paper
The Design of Hose Working Cabin Based on 3D Printing
In recent years, with the continuous innovation and development of material technology and processing technology, flexible pipelines made of non-metallic materials have shown strong advantages. Compared with t...
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Chapter and Conference Paper
Damage Behavior of Carbon/Epoxy Laminated Composites Composed of Super-Thin Plies
According to past research, using thinner layers usually results in a stronger composite. Along with the size effect, thinner layers also lead to a larger interfacial area, which enhances load transfer. In thi...
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Chapter and Conference Paper
A Study on the Design of Eye and Eyeball Method Based on MTCNN
Studies on eye tracking have relied on wearable eye trackers and chin-resting eye trackers, but the high cost of equipment and the need to wear devices during experiments can lead to less natural facial moveme...
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Chapter and Conference Paper
Research on Microservice Identification Technology Based on API Correlation
Microservices are a new approach to software architecture design that enables complex monolithic applications to be constructed as a set of independent and loosely coupled chunks of services. A critical step i...
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Chapter and Conference Paper
LPSD: Low-Rank Plus Sparse Decomposition for Highly Compressed CNN Models
Low-rank decomposition that explores and eliminates the linear dependency within a tensor is often used as a structured model pruning method for deep convolutional neural networks. However, the model accuracy ...
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Chapter and Conference Paper
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions have been proposed for this prob...
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Chapter and Conference Paper
Synchronous Vibration Suppression of MSCMG Using a Novel Dual-Channel Phase-Shift Notch Filter
Magnetically suspended control moment gyro (MSCMG) is the idea inertial actuator for large spacecraft thanks to its many advantages. The rotor system of active magnetic bearing (AMB) is the core component of M...
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Chapter and Conference Paper
The Emerging Technologies and Applications of Intelligent Learning for Sustainable Societies in Yunnan, China
The rapid development of emerging technologies, such as artificial intelligence, machine learning, and big data, has brought about significant changes in various aspects of society, including education, health...
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Chapter and Conference Paper
Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion
Outdoor object target detection is a very popular research task. 7 categories of data that fit the outdoor scenario were selected from the VOC2012 dataset as the current dataset for this study. In order to imp...
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Chapter and Conference Paper
Heterogeneous Graphs Embedding Learning with Metapath Instance Contexts
Embedding learning in heterogeneous graphs consisting of multiple types of nodes and edges has received wide attention recently. Heterogeneous graph embedding is to embed a graph into low-dimensional node repr...
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Chapter and Conference Paper
Micromodel and Analysis of COVID-19 Based on Hypergraph
In view of the fact that the existing propagation models ignore the influence of different fields and different virus variants on individual infection, and the classical propagation models only describe the ma...
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Chapter and Conference Paper
Surrogate Models Based on Back-Propagation Neural Network for Parameters Prediction of the PWR Core
Predicting the key neutronics parameters of reactor core accurately and efficiently is necessary during the reactor operation. On account of the nonlinearity and complexity of the reactor core, as well as the ...
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Chapter and Conference Paper
Study on the Mechanical Strength of Fiber-Reinforced Geopolymer Porous Materials
In this paper, fly ash and slag were used as the main raw materials, water glass was used as the activator, and hydrogen peroxide was used as the foaming agent, to prepare the geopolymer porous material, focus...
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Chapter and Conference Paper
Research on the Analysis of Key Attack Modes in a Wireless Environment
Wireless networks are more vulnerable to attacks than wired networks because data is transmitted via radio instead of cables. Although wireless networks have their advantages, such as easy setup and ease of mo...
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Chapter and Conference Paper
Selection of Export Models of Cross-Border E-commerce Platforms Based on the Improved AHP Algorithm
In recent years, with the rapid development of Internet technology and network technology, Chinese traditional trading companies and domestic trading companies are vigorously develo** their own cross-border ...
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Chapter and Conference Paper
Proactive Chatbot Framework Based on the PS2CLH Model: An AI-Deep Learning Chatbot Assistant for Students
Nowadays, universities are using more technologies dealing with students’ interactions. The chatbot supported with Artificial Intelligence (AI) – Deep Learning (DL) technology exhibited a better ability and ef...
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Chapter and Conference Paper
Simulation Research on the Service Performance of NdFeB Permanent Magnets for Permanent Magnet Motors
Electrical motors is the equipment that convert the electrical energy into the mechanical energy. And they are the main source of power for modern industry application. However, the energy efficiency level of ...
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Chapter and Conference Paper
Multi-task Graph Neural Network for Optimizing the Structure Fairness
Graph neural networks, the mainstream paradigm of graph data mining, optimize the traditional feature-based node classification models with supplementing spatial topology. However, those isolated nodes not wel...
