42 Result(s)
within
Chapter
**ao-Li Zhou
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Chapter
Cretaceous Fluvio-Lacustrine Stratigraphy, Sedimentology and Paleontology in the Laiyang, Zhucheng and Lingshan Island Areas of Eastern Shandong Province, North China
This field trip guide provides an opportunity for participants to study the Cretaceous stratigraphy and sedimentology in the Jiaolai Basin, eastern Shandong province. This sedimentary cover consists of terrest...
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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
History of Schistosomiasis Japonica in China
There is very little information on the discovery of Schistosoma japonicum in China. However, four facts as follows: (1) the most ancient corpse with schistosome eggs discovered in 1972, (2) the first patient rep...
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Chapter
Pattern of Old-Age Care in Rural China—Lessons Learned from Fieldworks in the Villages
With the rapidly growing older population in China, how the rural elderly live and are cared for deserves greater attention. This chapter studies models of elder care that are prevalent in rural areas, to iden...
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Chapter
Dopamine and Gastrointestinal Motility
Dopamine (DA) plays an important role in regulating gastrointestinal (GI) motility function, from the esophagus to the colon. In this chapter, we focus on the role of DA in regulating esophageal, gastric, and ...
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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
Advances in Hydrothermal Carbonization of Livestock Manure
In order to meet the needs of modern people for protein food, livestock farming has developed rapidly. In the process of livestock breeding, a great deal of livestock manure will be produced, and the number of...
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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
Tumors of the Skin
Skin tumor is the most intriguing topic for the clinicians. This chapter covers a wide range of issues and provides with informative clues and tips associated with clinical features and pathological presentati...
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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...
