Tao Gao

Tao Gao is a professor of North China Electric Power University, Hebei Province, China. He is interested in artificial intelligence, IntelliSense, internet of physical objects, automatic identification, real-time localization, digital information processing, motion detection, computer vision, cloud computing, and so on. His previous research explored motion tracking, moving object detection, and video based motion pattern reorganization. He is the author or co-author of more than 10 refereed international journal and conference papers, covering topics of intelligent multimedia processing, intelligent transportation systems and internet of things. He is a member of IEEE, IEEE Consumer Electronics Society, IEEE Computer Society, Association for Computing Machinery, China Computer Federation, and Chinese Institute of Electronics. He is the guest Reviewer of several refereed international journals, i.e., IEEE Transactions on Intelligent Transportation Systems, Multimedia Tools and Applications, Journal of Supercomputing, EURASIP Journal on Advances in Signal Processing, Journal of the Chinese Institute of Engineers, and International Journal of Image Processing, etc. He is TPC member of refereed conferences, e.g., EMEIT 2011, ICEOE 2011, ICCDA 2011, MINES 2010, and ITSIC 2010, etc.

Publications

Monitoring and Optimization of Pilot Pollution in High-Rise

With the development and construction of the city, more and more high-rise buildings, more and more intensive, urban high-rise building pilot pollution problems become more and...

The Research and Simulation of Blind Source Separation Algorithm

When the original source signals and input channel are unknown, blind source separation (BSS) tries decomposing the mixed signals observed to obtain the original source signals...

Research and Implementation of Mine Risk Area Semantic Retrieval System Based on Ontology

In this paper, the authors first analyze the research and development of semantic retrieval technology based on ontology, and introduce the key theoretical knowledge of ontology...

The Research and Simulation of Blind Source Separation Algorithm

When the original source signals and input channel are unknown, blind source separation (BSS) tries decomposing the mixed signals observed to obtain the original source signals...

Research and Implementation of Mine Risk Area Semantic Retrieval System based on Ontology

In this paper, the authors first analyze the research and development of semantic retrieval technology based on ontology, and introduce the key theoretical knowledge of ontology...

Monitoring and Optimization of Pilot Pollution in High-Rise

With the development and construction of the city, more and more high-rise buildings, more and more intensive, urban high-rise building pilot pollution problems become more and...

The Detection and Realization of Data Matrix Code by Accurate Locating

This paper proposes a Data Matrix code recognition technology, which includes initial position, rotation correction and final accurate locating based on corner detection and...

Global Applications of Pervasive and Ubiquitous Computing

As technology continues to play a vital role in our everyday lives, advancements in human-computer interaction studies embrace ubiquitous computing as a tool for information...

Niche Genetic Algorithm Based on Sexual Reproduction and Multimodal Function Optimization Problem

In this paper, a genetic algorithm with sexual reproduction and niche selection technology is proposed. Simple genetic algorithm has been successfully applied to many...

Coordination Performance Evaluation of Supply Logistics in JIT Environment

In JIT assembly system, any supplier’s postponement of delivery or incorrect delivery quantity will result in the manufacturer’s incapability of assembling on schedule, which...

Constructing the Collaborative Supply Logistics Operation Mode in Assembly System under JIT Environment

In the JIT assembly system, if any supplier does not deliver the raw materials or components on time, or in the right quantity, the core manufacturers will not assemble on the...

A Novel Detection Method of Paper Defects Based on Visual Attention Mechanism

In this paper, an improved paper defects detection method based on visual attention mechanism computation model is presented. First, multi-scale feature maps are extracted by...

3-D Video based Disparity Estimation and Object Segmentation

Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval and other emerging interactive multimedia fields. Determinations...

Robust Object Detection in Military Infrared Image

The innovation of this paper is that we put forward a new algorithm of object detection form military infrared images with texture background according to the Mean-shift smooth...

Data Association Based Tracking Traffic Objects

For the widely demanding of adaptive multiple moving objects tracking in intelligent transportation field, a new type of traffic video based multi-object tracking method is...

Sensors Network for Ultrasonic Ranging System

The spectrum matching and correlation characteristic are both important in the multiple-user ultrasonic ranging system. As people know, an ultrasonic ranging system, which has a...

Optimization of Matched Chaotic Frequency Modulation Excitation Sequences for Multichannel Simultaneously Triggered Ultrasonic Ranging System

The matched spectrum and correlation characteristics are both important to realize the multichannel ultrasonic sensors working together. The spectrum matching can make full use...

Lot Sizing and Dynamic Pricing with Random Yield and Different Qualities

The literature under random component yield has focused on coordination of supply chain at the determined price, where decision maker chooses its optimal production quantities....

A New SVM Reduction Strategy of Large-Scale Training Sample Sets

There has become a bottleneck to use support vector machine (SVM) due to the problems such as slow learning speed, large buffer memory requirement, low generalization performance...