4,030 Result(s)
within
Conference Paper
**ang-** Zheng
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Chapter and Conference Paper
Assembly of Solder Beads with a Surface Mount Technology Resistor with Optoelectronic Tweezers and Freezing-Drying Techniques
This research explores the use of optoelectronic tweezers (OET) as a method of manipulating microparticles. It focuses on how the dielectrophoretic (DEP) force can be used to trap solder beads with different c...
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Chapter and Conference Paper
Mechanism and Characteristics Analysis of Water-Producing Tight Gas Well in Daning-Jixian Block
There is generally no unified gas-water interface in tight sandstone gas reservoirs. The micro-scale reservoir is dominated by gas-water mixed storage. On the macro scale, there are small lens-shaped water bod...
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Chapter and Conference Paper
A Graphical Computing-Based Image Registration Method for LED Chips
Image registration is a key problem and a technical difficulty in the field of machine vision and image processing research. For the problems that the detection accuracy of the machine learning method depends ...
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Chapter and Conference Paper
Graph Structure Learning-Based Compression Method for Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved remarkable performance in diverse applications. Nevertheless, the substantial scale and computational intricacy limit the practical implementation of CNNs, pa...
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Chapter and Conference Paper
Research on Target Tracking Algorithm Between UAVs in Unknown Environment
In order to improve the ability and efficiency of exploring the unknown indoor environment, we consider letting the unmanned aerial vehicle in the back relay the unmanned aerial vehicle in the front with low p...
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Chapter and Conference Paper
Enhancing Daily Life Through an Interactive Desktop Robotics System
In this demo, we develop an intelligent desktop operating robot designed to assist humans in their daily lives by comprehending natural language with large language models and performing a variety of desktop-r...
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Chapter and Conference Paper
Reinforcement Learning-Based Streaming Process Discovery Under Concept Drift
Streaming process discovery aims to discover a process model that may change over time, co** with the challenges of concept drift in business processes. Existing studies update process models with fixed stra...
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Chapter and Conference Paper
Design of a Vibration Energy Harvester for Power Transformers Monitoring
The fault monitoring of transformers is critical for the operation of power systems. However, the traditional wireless sensor networks (WSNs) node has a short battery life, making it difficult to maintain the ...
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Chapter and Conference Paper
Denoising Real-World Low Light Surveillance Videos Based on Trilateral Filter
In this paper, a real-world denoising method for surveillance videos based on the trilateral filter is proposed. The algorithm is faced with challenges, including the absence of “ground truth” images and the c...
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Chapter and Conference Paper
M \(^3\) FGM: A Node Masking and Multi-granularity Message Passing-Based Federated Graph Model for Spatial-Temporal Data Prediction
Researchers are solving the challenges of spatial-temporal prediction by combining Federated Learning (FL) and graph models with respect to the constrain of privacy and security. In order to make better use o...
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Chapter and Conference Paper
Research and Application of Low Surface Energy Anti-wax Technology in Changqing Oilfield
With the extension of production time, severe wax deposition occurred in some horizontal well developmentreservoirs in Changqing Oilfield. Conventional dosing measures have poor effect and high frequent cost o...
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Chapter and Conference Paper
Abnormal Detection Method of Sensor Data Based on Informer
The online monitoring data of transformer oil temperature plays an important role in judging the reliability of transformer operation and monitoring the internal insulation state of transformer. However, due t...
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Chapter and Conference Paper
Real-Time Kinematic Orbit Determination of GEO Satellite with the Onboard GNSS Receiver
The spacecraft has widely used Global Navigation Satellite System (GNSS) in precise navigation, attitude determination, formation flight and time synchronization. For high earth orbit spacecraft, the space env...
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Chapter and Conference Paper
Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes
In a multilingual neural machine translation model that fully shares parameters across all languages, a popular approach is to use an artificial language token to guide translation into the desired target lang...
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Chapter and Conference Paper
Single Image Super Resolution Based on Dual-Path Large Kernel Learning
To excel in image super-resolution, deep neural network-based models often employ a stacking strategy of network modules. However, this approach leads to parameter explosion and information redundancy, thereby...
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Chapter and Conference Paper
Forecast of Future Natural Gas Market Demand in China and Analysis of the Situation of Gas Storage Capacity Construction
In the context of dual carbon, with the adjustment of global energy structure and the development of clean energy, natural gas will become a substitute for traditional energy and an important component of sust...
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Chapter and Conference Paper
Deep Face Recognition with Cosine Boundary Softmax Loss
To improve the accuracy of face recognition when there are wrong-labeled samples, a new deep face recognition model with cosine boundary loss is proposed in this paper. First, the proposed model uses the cosin...
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Chapter and Conference Paper
Geological Feasibility and Operating Index Design of Volatile Oil Reservoir into Underground Gas Storage: Case Study of M Block in Jidong Oilfield
At present, there is no precedent for reconstruction of Volatile Oil Reservoir into Underground Gas Storage (UGS) at home and abroad. Utilizes oil reservoirs to rebuild gas storage can fully utilize the mechan...
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Chapter and Conference Paper
Agile Maneuvering Control for Non-contact Satellite Platform
Dual-super satellite is a new type of spacecraft structure that separates the satellite platform and payload, and blocks the transmission of micro-vibrations from the platform through mechanical isolation to p...
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Chapter and Conference Paper
Learning Hash Subspace from Large-Scale Multi-modal Pre-Training: A CLIP-Based Cross-modal Hashing Framework
Multi-modal pre-training models act as a foundational approach for various multi-modal downstream tasks, including cross-modal retrieval. However, existing cross-modal retrieval models designed with multi-moda...
