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Chapter and Conference Paper
Control Methods for Energy-Saving Electric Bus Operation
Electric buses (EBs) have the advantages of lower noise, higher driving stability and less emissions, which significantly reduce traffic related air pollutants and bus company operation costs. However, the sho...
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Chapter and Conference Paper
Driving Secondary Task Load Quantification Based on the AHP Algorithm Under the Voice Interaction Scenario
With the rapid development of voice technology, Voice recognition technology has been bought into a large number of vehicle information systems, and different information from HMI displays during voice interac...
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Chapter and Conference Paper
Automatic Analysis of RPA in Digital Service Testing of Grid System
As science and technology in China has continuously developed, more and more programs and technologies are moving towards automation in power companies, especially in power digital service systems. The use of ...
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Chapter and Conference Paper
Complexity Quantification of Car-Following Dynamic Traffic in the Internet of Vehicles Environment
The complexity of the car-following dynamic traffic means the driver’s workload brought by the main driving task during the car-following process. The status information between the preceding and following veh...
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Chapter and Conference Paper
CMS-UNet: Cardiac Multi-task Segmentation in MRI with a U-Shaped Network
Precise segmentation of myocardial pathology is significant for the assessment of myocardial infarction (MI). Generally, manual segmentation of myocardial pathology is burdensome and time-consuming, and the bu...
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Chapter and Conference Paper
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
In time-to-event prediction problems, a standard approach to estimating an interpretable model is to use Cox proportional hazards, where features are selected based on lasso regularization or stepwise regressi...
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Chapter and Conference Paper
A New Method for Complex Triplet Extraction of Biomedical Texts
Extracting biomedical triplet is one of the most important tasks in medical knowledge graph construction. Relations in complex biomedical text are overlap heavily. Although existing biomedical relation extract...
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Chapter and Conference Paper
Homographic Puns Recognition Based on Latent Semantic Structures
Homographic puns have a long history in human writing, being a common source of humor in jokes and other comedic works. It remains a difficult challenge to construct computational models to discover the latent...
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Chapter and Conference Paper
Unsupervised Entity Resolution on Multi-type Graphs
Entity resolution is the task of identifying all mentions that represent the same real-world entity within a knowledge base or across multiple knowledge bases. We address the problem of performing entity resol...
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Chapter and Conference Paper
Subspace Algorithm Based on MSWF in the Presence of Impulsive Noise
An improved method for direction-of-arrival (DOA) estimation algorithm based on Multistage Wiener Filters (MSWF) in the presence of impulsive noise is proposed in this paper. There are many DOA estimation algo...
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Chapter and Conference Paper
Classifying Graphs Using Theoretical Metrics: A Study of Feasibility
Graph classification has become an increasingly important research topic in recent years due to its wide applications. However, one interesting problem about how to classify graphs based on the implicit proper...
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Chapter and Conference Paper
The Application of Virtual Reality Technology in Constructing Virtual Machining Workshop
Virtual Reality technology (VR) or Virtual environment, a computer system to create and experience virtual world, is developed by computer and can act on users by vision, acoustic and touch, who can be persona...
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Chapter and Conference Paper
Ontology-Driven Affective Chinese Text Analysis and Evaluation Method
This paper studies text affective analysis from three different levels: words, sentences and discourses. Firstly, affective lexicon ontology is constructed by employing the manual and automatic classification ...
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Chapter and Conference Paper
The Design and Exploitation of Visual Feedback System for Rowing
Based on Neural Mechanism theory of short-term memory, a predigested model was established. It demonstrated learning, establishment and strengthening process concerning with the motor pattern domination of hig...
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Chapter and Conference Paper
An Inverse Dynamical Model for Slip Gait
A inverse dynamical model for slip gait developed by using Kane’s method of dynamics is described in this paper. The modeling was based on two separate sub-systems: anti-slip and anti-fall. Both sub-systems we...