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 |
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. |
 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. |
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 | |
Yunben Du Jiangsu University of Science and Technology, China Speech Title: An Effective Approach for Sonar Image Recognition with Improved Efficientdet and Ensemble Learning |
Hao Wu Liaoning Petrochemical University, China Speech Title: Design of interval type-2 fuzzy fractfractional order PID controller based on particle swarm optimization |
Yaxuan Liang Liaoning Petrochemical University, China Speech Title: Application of interval type-2 fuzzy VIKOR method in risk assessment of chemical industry |
Lin Feng Liaoning Petrochemical University, China Speech Title: Soft sensor based on self-organizing interval type-2 fuzzy neural network and its application |
Jing Wang Zhejiang Sci-Tech University, China Speech Title: Discriminator Based Resilient Multi-agent Deep Deterministic Policy Gradient Under Uncertain Faulty Agents |
Bing Zhu Changchun University of Science and Technology, China Speech Title: Classification and diagnosis of Alzheimer's disease based on multimodal data |
Hansong Wang Fujian University of Technology, China Speech Title: Research on Pedestrian Detection Based on Improved YOLOv3 |
Neng Xiong Fujian University of Technology, China Speech Title: Short-term power load forecasting based on BP neural network optimized by genetic algorithm |
