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5th Asia Symposium on Image Processing, ASIP 2023

作者： Jia, Yuyu Han, Chunxiao Tong, Wenhui Pei, Yue Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350323429

Emotion recognition is an important research directions in the field of artificial intelligence. In this paper, we adopted deep learning methods to try to improve the performance of emotion recognition. First, we designed an experiment to induce three different emotions by video footage and collected corresponding EEG signals. Then, CNN-SVM algorithms were adopted to classify positive, neutral and negative emotions. Finally, the recognition performance of CNN-SVM for three-class emotion recognition was verified. It is found that CNN-SVM achieves a highest recognition accuracy of 99.98% and an average recognition accuracy of 98.53%, which is better than CNN alone. © 2023 IEEE.

关键词： Emotion Recognition

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EfficientNet-Lion: A Deep Learning Approach for Spandex Defect Image Classification 8

EfficientNet-Lion: A Deep Learning Approach for Spandex Defe...

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8th International Conference on information and Network Technologies, ICINT 2023

作者： Guangyuan, Gao Yanqiu, Che Jianghe, Qiao School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control TianJin China

ISBN: (纸本)9798350301458

Spandex is a widely used material in many industrial applications. However, the production of spandex products is often affected by the occurrence of defects during the manufacturing process, which may lead to product failure or customer dissatisfaction. In this paper, we propose an efficient and accurate deep learning approach for spandex defect image classification based on EfficientNet model and Lion optimizer, a new optimizer that has shown promising results in recent studies. We fine-tuned the pre-trained EfficientNet model on a large-scale spandex defect image dataset and achieved a high classification accuracy of 94.38% on the test set. Our results demonstrate the effectiveness of using the Lion optimizer in the field of deep learning for spandex detection, and provide a new perspective for future research in this area. Our findings suggest that the proposed method has great potential for practical applications in the field of spandex defect detection and classification. © 2023 IEEE.

关键词： Image classification

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Improved YOLOv3 and U-Net Based Pipetting Abnormal Condition Identification and Pipetting Region Segmentation

Improved YOLOv3 and U-Net Based Pipetting Abnormal Condition...

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2023 European Conference on Communication Systems, ECCS 2023

作者： Zhang, Zhiyu Li, Huiyan Liu, Yeming Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350323344

To improve the reliability of micro pipetting in automatic pipetting workstations, this paper analyzes and investigates the problems related to abnormal condition recognition and pipetting volume detection during pipetting using deep learning models. Firstly, the YOLOv3 network model is designed to be lightweight, and the DarkNet-53 network, which is the backbone of the network structure for image feature information extraction, is replaced by the MobileNetv3 network to realize the recognition of abnormal conditions such as empty aspiration, air bubbles and blockage during pipetting;then the U-Net network model is built to integrate the CBAM attention mechanism module and the residual module to realize the segmentation of pipetting areas. Then, we construct a U-Net network model incorporating the CBAM attention mechanism module and residual module to segment the pipetting area. The results showed that the model size of the improved YOLOv3 network was reduced by 139.1 MB and the frame rate per second (FPS) was increased by 15.7 frames/s. The improved U-Net network improved the IOU and F1 values for pipetting area segmentation by 8% and 13% respectively. © 2023 IEEE.

关键词： Process monitoring

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Near-zero-dispersion soliton and broadband modulational instability Kerr microcombs in anomalous dispersion

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Light(Science & Applications) 2023年第2期12卷 220-231页

作者： Zeyu Xiao Tieying Li Minglu Cai Hongyi Zhang Yi Huang Chao Li Baicheng Yao Kan Wu Jianping Chen State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical EngineeringDepartment of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Optical Fibre Sensing and Communications(Education Ministry of China) University of Electronic Science and Technology of ChinaChengdu 611731China

The developing advances of microresonator-based Ker cavity solitons have enabled versatile applications ranging from communication,signal processing to high-precision *** dispersion is the key factor determining the Kerr comb *** the zero group-velocity-dispersion(GVD)regime,low-noise and broadband microcomb sources are achievable,which is crucial to the application of the Kerr *** the GVD is almost vanished,higher-order dispersion can significantly affect the Kerr comb *** many studies have investigated the Kerr comb dynamics near the zero-dispersion regime in microresonator or fiber ring system,limited by dispersion profles and dispersion perturbations,the near-zero-dispersion soliton structure pumped in the anomalous dispersion side is still elusive so ***,we theoretically and experimentally investigate the microcomb dynamics in fiber-based Fabry-Perot microresonator with ultra-small anomalous *** obtain 2/3-octave-spaning microcombs with~10 GHz spacing,>84 THz span,and>8400 comb lines in the modulational instability(MI)state,without any external nonlinear spectral *** widely-spanned Ml combs are also able to enter the soliton ***,we report the first observation of anomalous-dispersion based near-zero-dispersion solitons,which exhibits a local repetition rate up to 8.6 THz,an individual pulse duration<100 fs,a span>32 THz and>3200 comb *** two distinct comb states have their own *** broadband MI combs possess high conversion efficiency and wide existing range,while the near-zero-dispersion soliton exhibits relatively low phase noise and ultra-high local repetition *** work complements the dynamics of Kerr cavity soliton near the zero-dispersion regime,and may stimulate cross-disciplinary inspirations ranging from dispersion-controlled microresonators to broadband coherent comb devices.

关键词： resonator dispersion pumped

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Alertness Analysis from EEG Signals based on Temporal Complex Network Features 16

Alertness Analysis from EEG Signals based on Temporal Comple...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Wei, Beibei Han, Chunxiao Chen, Yi Che, Yanqiu Qin, Yingmei Li, Shanshan Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350330755

Fatigue driving is a major contributor to traffic accidents, as it reduces alertness and can even be fatal. To investigate alertness changes during prolonged driving, we first built a simulated driving experiment platform and designed an alertness detection experiment. Electroencephalogram (EEG) signals were collected during prolonged fatigue driving from 16 subjects. For each subject, the driving process was divided into eight stages from T0-T7. Then, the alertness level was analyzed by temporal complex network method based on multiplex limited penetrable visibility graphs from the collected EEG signals. The clustering coefficient, path length and global efficiency of the constructed complex network were extracted for each driving stage under five typical brain rhythms including delta, theta, alpha, beta, and gamma. The results indicate that after a long stage of driving, the clustering coefficient and path length show an overall increasing trend, while the global efficiency reveals an overall decreasing trend. Our findings may provide indicators for monitoring alertness level. © 2023 IEEE.

关键词： Complex networks

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When Does Sora Show:The Beginning of TAO to Imaginative Intelligence and Scenarios engineering

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 809-815页

作者： Fei-Yue Wang Qinghai Miao Lingxi Li Qinghua Ni Xuan Li Juanjuan Li Lili Fan Yonglin Tian Qing-Long Han School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Department of Electrical and Computer Engineering Indiana University-Purdue University IndianapolisIndianapolisIN 46202USA Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

DURING our discussion at workshops for writing“What Does ChatGPT Say:The DAO from Algorithmic Intelligence to Linguistic Intelligence”[1],we had expected the next milestone for Artificial Intelligence(AI)would be in the direction of Imaginative Intelligence(II),i.e.,something similar to automatic wordsto-videos generation or intelligent digital movies/theater technology that could be used for conducting new“Artificiofactual Experiments”[2]to replace conventional“Counterfactual Experiments”in scientific research and technical development for both natural and social studies[2]-[6].Now we have OpenAI’s Sora,so soon,but this is not the final,actually far away,and it is just the beginning.

关键词： something Intelligence replace

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Automatic Schizophrenia Detection from Scalp EEG Using CNN with Wide Convolutional Kernel and ELM 5

Automatic Schizophrenia Detection from Scalp EEG Using CNN w...

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5th Asia Symposium on Image Processing, ASIP 2023

作者： Wei, Chun Qin, Yingmei Liu, Jing Jiang, Lijie Che, Yanqiu Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350323429

Detection of schizophrenia is of great significance in clinical practice. In conventional machine learning methods, manual feature extraction is required, which is a hard and time-consuming task. This paper proposes a hybrid model consisting of a convolutional neural network (CNN) with a wide convolution kernel and an extreme learning machine (ELM). By changing the size of the convolution kernel to form a suitable wide convolution kernel, and automatically extracting and optimizing the features of the scalp electroencephalogram (EEG), the performance of the model is effectively improved and accurate detection of schizophrenia is achieved. The input of this model is the original multi-channel EEG picture after short-time Fourier transform, and the output are two types of classification labels for schizophrenia and healthy people. In the end, the detection accuracy of schizophrenia reached 95.59%. This model has a powerful advantage in detecting schizophrenia. © 2023 IEEE.

关键词： Electroencephalography

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Trajectory Planning of Robot Terminal Pose by Interpolation Method 38

Trajectory Planning of Robot Terminal Pose by Interpolation ...

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38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Chen, Biao Hu, Shan Bing, Zhigang Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350303636

In order to improve the stability of the robot at work, this paper adds an insertion point between the end of the robot and the next target point, and changes the original linear trajectory to a new trajectory planned by interpolation method. The simulation experiment is carried out in MATLAB software. The interpolation method curve is compared with the linear curve. The optimization results show that the velocity and acceleration curves under the interpolation method become more gentle, which verifies the effectiveness of the method. © 2023 IEEE.

关键词： interpolation method linear posture robot

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Research on Intelligent Monitoring and Irrigation System for Farmland Based on IoT and 5Gtechnology 8

Research on Intelligent Monitoring and Irrigation System for...

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8th International Conference on Automation, control and Robotics engineering, CACRE 2023

作者： Lu, Guangda Dai, Jianyi Qin, Zhuanpin Guo, Tinghang Han, Yu Wei, Mingzhi Automation and Electrical Engineering College Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China

ISBN: (纸本)9798350302776

A farmland intelligent monitoring and irrigation system based on the Internet of Things and 5G technology is designed. The system mainly includes two templates: intelligent monitoring system and intelligent control system, in which the intelligent monitoring system is mainly responsible for detecting soil temperature and humidity and trace elements such as nitrogen, phosphorus and potassium, and the intelligent control system is mainly responsible for remote operation of intelligent irrigation. The system measures soil temperature, humidity and trace elements such as nitrogen, phosphorus and potassium through the sensors in the intelligent monitoring section, and uses 5G wireless transmission technology to send the data collected by the sensors to the Internet of Things, which then transmits the collected information to a mobile app. The system can solve the shortcomings of traditional irrigation methods which are cumbersome and seriously inefficient in irrigating agricultural facilities. © 2023 IEEE.

关键词： Soil temperature

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Energy Efficient Transmitter Creation by Consuming Free Energy in Molecular Communication

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IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2025年第2期11卷 292-303页

作者： Jing, Dongliang Li, Linjuan Cheng, Zhen Lin, Lin Eckford, Andrew W. Northwest A and F University College of Mechanical and Electronic Engineering Yangling China Ministry of Agriculture and Rural Affairs Key Laboratory of Agricultural Internet of Things Yangling China Zhejiang University of Technology School of Computer Science and Technology Hangzhou310023 China Tongji University College of Electronics and Information Engineering Shanghai China York University Department of Electrical Engineering and Computer Science TorontoON Canada

information molecules play a crucial role in molecular communication (MC), acting as carriers for information transfer. A common approach to get information molecules in MC involves harvesting them from the environment;however, the harvested molecules are often a mixture of various environmental molecules, and the initial concentration ratios in the reservoirs are identical, which hampers high-fidelity transmission techniques such as molecular shift keying (MoSK). This paper presents a transmitter design that harvests molecules from the surrounding environment and stores them in two reservoirs. To separate the mixed molecules, energy is consumed to transfer them between reservoirs. Given limited energy resources, this work explores energy-efficient strategies to optimize transmitter performance. Through theoretical analysis and simulations, we investigate different methods for moving molecules between reservoirs. The results demonstrate that transferring higher initial concentration molecules enhances transmitter performance, while using fewer molecules per transfer further improves efficiency. These findings provide valuable insights for optimizing MC systems through energy-efficient molecule transfer techniques. © 2015 IEEE.

关键词： Transmitters

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