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Chapter and Conference Paper
Traffic Flow Forecasting Based on Parallel Neural Network
In Intelligent Transportation Systems (ITS), traffic flow forecasting is important to Traffic Flow Guidance System (TFGS). However most of the traffic flow forecasting models cannot meet the requirement of TFG...
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Chapter and Conference Paper
Algorithm of Multiple Sensitive Attributes Privacy Based on Personal Anonymous
This paper analyzes the (k, l) - Anonymous model need to address two key questions: re-encoding methods and information loss metrics, and in-depth analysis of the (k, l) - Anonymous model and similar models th...
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Chapter and Conference Paper
An Integer Programming Approach for the Rural Postman Problem with Time Dependent Travel Times
The Chinese Postman Problem is a famous and classical problem in graph theory. This paper introduces a new variant of this problem, namely Rural Postman Problem with Time Dependent Travel Times, which is motiv...
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Chapter and Conference Paper
Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems
This paper investigates how norm emergence can be facilitated by agents’ adaptive learning behaviors in networked multiagent systems. A general learning framework is proposed, in which agents can dynamically a...
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Chapter and Conference Paper
Evaluation of Relationship Quality Within Dyads Through the Performance in Dual-Player Cooperative Tasks
Human beings are influenced widely by relationship among individuals. However, there is still a lack of a systematic, objective and direct way to assess the quality of relationships within dyads. The current s...
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Chapter and Conference Paper
Research on Cloud Office Resource Allocation Algorithm Based on Correction Weight PSO
With the development of science and technology, cloud computing technology has changed people's office methods. People begin to use cloud services to realize remote collaborative office, which can save costs a...
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Chapter and Conference Paper
Frame Correlation Knowledge Distillation for Gait Recognition in the Wild
Recently, large deep models have achieved significant progress on gait recognition in the wild. However, such models come with a high cost of runtime and computational resource consumption. In this paper, we i...
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Chapter and Conference Paper
Research on General Automatic Test Platform for Onboard Automatic Train Protection
Traditional train control systems experience problems such as low efficiency, tedious operation, high labor costs, poor visibility, and difficulty in designing and maintaining test cases during manual function...
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Chapter and Conference Paper
Transpose and Mask: Simple and Effective Logit-Based Knowledge Distillation for Multi-attribute and Multi-label Classification
Knowledge distillation (KD) improves a student network by transferring knowledge from a teacher network. Although KD has been extensively studied in single-labeled image classification, it is not well explored...