31 Result(s)
within
Conference Paper
**ao-Li Zhou
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Chapter and Conference Paper
Effective Skill Learning on Vascular Robotic Systems: Combining Offline and Online Reinforcement Learning
Vascular robotic systems, which have gained popularity in clinic, provide a platform for potentially semi-automated surgery. Reinforcement learning (RL) is a appealing skill-learning method to facilitate autom...
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Chapter and Conference Paper
Research on the Method of Inverting Indicator Diagram with Electrical Parameters of Pum** Unit Based on Neural Network
In view of the problems that the load cell used to test the indicator diagram in the pum** unit is easy to drift in the long term and needs manual regular maintenance, a new method is proposed to demonstrate...
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Chapter and Conference Paper
A DNN-Based Learning Framework for Continuous Movements Segmentation
This study presents a novel experimental paradigm for collecting Electromyography (EMG) data from continuous movement sequences and a Deep Neural Network (DNN) learning framework for segmenting movements from ...
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Chapter and Conference Paper
Constructing a Multi-scale Medical Knowledge Graph from Electronic Medical Records
Knowledge graphs play a crucial role in the medical field. Most existing knowledge graphs are manually created by experts or extracted from medical encyclopedias, resulting in the omission of valuable knowledg...
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Chapter and Conference Paper
Practice and Understanding of “Secondary-Tertiary Combination” in Reconstructing Underground Development System
During the high water cut and high oil recovery stage for the water flooding method, the characteristics including stability and specificity become prominent for the underground seepage field.
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Chapter and Conference Paper
Research and Practice on the Integration of High-Efficiency Reserves Increase and Productivity Construction by Dominant Sedimentary Facies-Structure Coupling: A Case Study of E3s1 on Qinan Slope
High-efficiency blocks of Z42, Z5 and Z68 have been successively found on Qinan slope, which proves the potential of the target area. No breakthrough was made after several rounds of exploration and evaluation...
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Chapter and Conference Paper
A Review of Electric Propulsion for Air Vehicle Research
Electric propulsion technology possesses the potential of high efficiency, low noise and low emissions. Distributed electric propulsion technology can not only provide the thrust required by the aircraft, but ...
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Chapter and Conference Paper
Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks
Traditional data mining techniques are difficult to be directly applied to wireless sensor networks because of the multidimensional and multilayered characteristics of wireless sensor networks. Based on the th...
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Chapter and Conference Paper
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers publish...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Semantic segmentation of surgical instruments plays a crucial role in robot-assisted surgery. However, accurate segmentation of cataract surgical instruments is still a challenge due to specular reflection and...
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Chapter and Conference Paper
An Adaptive Compression Algorithm for Wireless Sensor Network Based on Piecewise Linear Regression
The wireless sensor network (WSN) has limited bandwidth, low power consumption, and may have redundantly collected data. The effective compression of data to reduce the energy consumption in transmission is of...
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Chapter and Conference Paper
Real-Time Dead Reckoning and Map** Approach Based on Three-Dimensional Point Cloud
Light detection and ranging equipment (LiDAR) has wide applications in the field of mobile surveying, autonomous driving, unmanned aerial vehicle and military, etc., since its abilities of fast three-dimension...
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Chapter and Conference Paper
HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks
We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image. Our method can recover local strand details and has real-time performance. State-of-the-art hair modelin...
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Chapter and Conference Paper
Retailer’s Optimal Ordering Decision with Trade Credit Financing
As competition becomes more intensive and capital issue attracts more attention in the operation, trade credit has become important to achieve competition advantage. This paper considers the trade credit issue...
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Chapter and Conference Paper
Hybrid Deep Learning for Plant Leaves Classification
Recently, deep learning is very popular, it has been applied into many applications, In this paper, a new neural network, hybrid deep learning is introduced, which included AutoEncoder(AE) and convolutional ne...
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Chapter and Conference Paper
An Intelligent Collision Avoidance System for Metro Railway Vehicles Based on the Synthesis of Multiple Acoustic Methods
As one of the most energy-efficient mass transit systems, metro railway has increasingly make use of modern wireless communication technologies to improve the efficiency and safety. In this chapter, we discuss...
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Chapter and Conference Paper
Forward-backward minimum variance beamforming combined with coherence weighting applied to ultrasound imaging
Currently, the delay-and-sum (DAS) algorithm is used as a standard technique in ultrasound beamforming. The adaptive ultrasound beamformer, however, shows its superiority over the traditional beamformer, DAS, ...
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Chapter and Conference Paper
Electronic Signal Processing Algorithm for Close-Talk System
To portable electronic devices or in big noise environments, close-talk system was often introduced to collect more target electronic signal than common sound collect systems. But the performance of such syste...
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Chapter and Conference Paper
Supercavitation Phenomenon during Water Exit and Water Entry of a Fast Slender Body
The direct applications of water exit and water entry study are submarine launched ballistic missile and anti-submarine missile [1],[2]. This study is also related to underwater high-speed torpedo which moves ...
