2022 5th International Conference on Advanced Algorithms and Control Engineering (ICAACE 2022)

The Successful Conclusion of the ICAACE 2022

2022 5th International Conference on Advanced Algorithms and Control Engineering (ICAACE 2022) has been successfully held on January 22, 2022, which is a virtual conference.


There were about 130 delegates attended the offline and online conference, several experts in related fields were invited to give keynote speeches. The in-depth discussions among the attendees effectively advanced the academic exchange. 


Group Photo
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Keynote Speakers

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Professor Jinming Wen, Jinan University

Speech Title: Binary Sparse Signal Recovery with Binary Matching Pursuit

Abstract: In numerous applications from communications and signal processing, we often need to acquire a $K$-sparse binary signal from sparse noisy linear measurements. In this talk, we first develop an algorithm called Binary Matching Pursuit (BMP) to recover the $K$-sparse binary signal. According to whether the residual vector is explicitly formed or not at each iteration, we develop two implementations of BMP which are respectively called explicit BMP and implicit BMP. We then analyze their complexities and show that, compared to the Batch-OMP, which is the fastest implementation of OMP, the improvements of the explicit and implicit BMP}algorithms are respectively $n/(2K)$ and $K$ times when some quantities are pre-computed. Finally, we provide sharp sufficient conditions of stable recovery of the support of the sparse signal using mutual coherence and restricted isometry property of the sensing matrix. 

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Professor Ning Li, Nanjing Institute of Technology

Speech Title: Machine Learning Technology is Making the Drive Motor a Comprehensive Sensor

Abstract: This is a research bulletin, which introduces the work of using machine learning to distinguish the types of obstacles that may be encountered in the process of subway door closing. In the past, the function of the motor was only driving. Today's machine learning technology can make the motor itself a good sensor.

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Dr. Sunil Kumar Jha, Nanjing University of Information Science and Technology

Speech Title: Data Fusion Approaches in Human Body Odor Data Mining

Abstract: The odor is the characteristic and alarming aroma of the human body. It is a significant information source of an individual's unique characteristic and physical condition in biometric, forensic and medical applications. Due to a complex combination of VOCs, the identification of individuals on the basis of body odor by conventional instruments is a tough task. The objective of the present research talk is to introduce audience about the data fusion and human body odor and to demonstrate research results related to search for an optimal subset of VOCs in body odor, which can produce differentiation in an individual by using the combination of analytical methods and chemometric analysis. Specifically, the implementation of data fusion approaches to search discriminating biomarker volatile organic chemicals (VOCs) in body odor for individual differentiation will be demonstrated. Also, some novel approaches to decision level data fusion will be discussed in human body odor mining. Gas chromatography–mass spectrometry (GC– MS) characterized human body odor samples have been used in analysis and validation of all experiments.

Oral Speakers

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Yunben Du 

Jiangsu University of Science and Technology, China

Speech Title: An Effective Approach for Sonar Image Recognition with  Improved Efficientdet and Ensemble Learning

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Hao Wu 

Liaoning Petrochemical University, China  

Speech Title: Design of interval type-2 fuzzy fractfractional order PID controller  based on particle swarm optimization

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Yaxuan Liang 

Liaoning Petrochemical University, China  

Speech Title: Application of interval type-2 fuzzy VIKOR method in  risk assessment of chemical industry

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Lin Feng 

Liaoning Petrochemical University, China  

Speech Title: Soft sensor based on self-organizing interval type-2 fuzzy  neural network and its application

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Jing Wang 

Zhejiang Sci-Tech University, China  

Speech Title: Discriminator Based Resilient Multi-agent Deep Deterministic Policy  Gradient Under Uncertain Faulty Agents

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Bing Zhu 

Changchun University of Science and Technology, China  

Speech Title: Classification and diagnosis of Alzheimer's disease  based on multimodal data

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Hansong Wang 

Fujian University of Technology, China  

Speech Title: Research on Pedestrian Detection Based on Improved YOLOv3

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Neng Xiong 

Fujian University of Technology, China  

Speech Title: Short-term power load forecasting based on BP neural network  optimized by genetic algorithm