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arXiv 2023年

作者： Hireche, Abdelhadi Belkacem, Abdelkader Nasreddine Jamil, Sadia Chen, Chao College of Information Technology United Arab Emirates University Abu Dhabi United Arab Emirates School of International Communications University of Nottingham Ningbo China Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin China

The integration of large language models (LLMs) with social robots has emerged as a promising avenue for enhancing human–robot interactions at a time when news reports generated by artificial intelligence (AI) are gaining in credibility. This integration is expected to intensify and become a more productive resource for journalism, media, communication, and education. In this paper a novel system is proposed that integrates AI’s generative pretrained transformer (GPT) model with the Pepper robot, with the aim of improving the robot’s natural language understanding and response generation capabilities for enhanced social interactions. By leveraging GPT’s powerful language processing capabilities, this system offers a comprehensive pipeline that incorporates voice input recording, speech-to-text transcription, context analysis, and text-to-speech synthesis action generation. The Pepper robot is enabled to comprehend user queries, generate informative responses with general knowledge, maintain contextually relevant conversations, and act as a more domain-oriented news reporter. It is also linked with a news resource and powered with a Google search capability. To evaluate the performance of the framework, experiments were conducted involving a set of diverse questions. The robot’s responses were assessed on the basis of eight criteria, including relevance, context, and fluency. Despite some identified limitations, this system contributes to the field of journalism and human–robot interaction by showcasing the potential of integrating LLMs with social robots. The proposed framework opens up opportunities for improving the conversational capabilities of robots, enabling interactions that are smoother, more engaging, and more context aware. © 2023, CC0.

关键词： Human robot interaction

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Lightweight Vision Transformer for Small Data Sets

Lightweight Vision Transformer for Small Data Sets

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Wenxing Fang Yanxu Su Institutes of Physical Science and Information Technology Anhui University Hefei China School of Artificial Intelligence Anhui University Hefei P. R. China Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Southeast University Nanjing P. R. China

With the rapid development of Transformers in the field of computer vision, models based on Transformers have become highly competitive architectures in the area. Although variants of Transformer models have achieved increasing accuracy on image classification tasks, the size of the training set and the number of parameters required by the models have increased dramatically. When dealing with small datasets, such models face problems such as overfitting and undergeneralization, leading to poor accuracy on the test set. We propose a new lightweight vision transformer (LVT) to address these issues. We reconstructed the backbone network, which learns the relationship between pixels through local window self-attention and global self-attention computation. We also use the attention pooling approach to fuse the token sequences generated by the backbone network more meticulously. We trained on the CIFAR-10 and CIFAR-100 datasets from scratch and compared them with a modern convolutional neural network. The experimental results show that LVT outperforms the modern convolutional neural network in terms of accuracy and efficiency. On the test set of CIFAR-10, we have obtained an accuracy of 96.83%, which indicates that our model can effectively solve the problems facing the training of small datasets and has a wide range of application prospects.

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Seasonal characteristics analysis and uncertainty measurement for wind speed time series

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Energy engineering: Journal of the Association of Energy engineering 2020年第5期117卷 289-299页

作者： Deng, Xing Shao, Haijian Wang, Xia School of Computer Science Jiangsu University of Science and Technology Zhenjiang212003 China School of Automation Key Laboratory of Measurement and Control for CSE Ministry of Education Southeast University Nanjing210096 China School of Information Science and Technology Nantong University Nantong226019 China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore

Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nat-ure. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and iden-tically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably divide the original dataset and effectively reflect the seasonal distribution characteristics. Experimental evaluation based on the dataset from National Renewable Energy Laboratory (NREL) is given to demonstrate the performance of the proposed approach. © 2020, Tech Science Press. All rights reserved.

关键词： Wind speed

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A Classification–Detection Approach of COVID-19 Based on Chest X-ray and CT by Using Keras Pre-Trained Deep Learning Models

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Computer Modeling in engineering & Sciences 2020年第11期125卷 579-596页

作者： Xing Deng Haijian Shao Liang Shi Xia Wang Tongling Xie School of Computer Science Jiangsu University of Science and TechnologyZhenjiang212003China School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjing210096China School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang212003China School of Information Science and Technology Nantong UniversityNantong226019China Department of Electrical and Computer Engineering National University of Singapore117583Singapore The People’s Hospital of RUGAO Nantong226500China

The Coronavirus Disease 2019(COVID-19)is wreaking havoc around the world,bring out that the enormous pressure on national health and medical staff *** of the most effective and critical steps in the fight against COVID-19,is to examine the patient’s lungs based on the Chest X-ray and CT generated by radiation *** this paper,five keras-related deep learning models:ResNet50,InceptionResNetV2,Xception,transfer learning and pre-trained VGGNet16 is applied to formulate an classification-detection approaches of *** benchmark methods SVM(Support Vector Machine),CNN(Conventional Neural Networks)are provided to compare with the classification-detection approaches based on the performance indicators,i.e.,precision,recall,F1 scores,confusion matrix,classification accuracy and three types of AUC(Area Under Curve).The highest classification accuracy derived by classification-detection based on 5857 Chest X-rays and 767 Chest CTs are respectively 84%and 75%,which shows that the keras-related deep learning approaches facilitate accurate and effective COVID-19-assisted detection.

关键词： COVID-19 detection deep learning transfer learning pre-trained models

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Sensing terminal for big data oil and gas pipeline corrosion monitoring 3

Sensing terminal for big data oil and gas pipeline corrosion...

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3rd International Conference on Computer Network, Electronic and Automation, ICCNEA 2020

作者： Li, Lin Wang, Yiding School of Electronic Engineering Xi'An Shiyou University Xi'an China Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China

ISBN: (纸本)9781728170831

Facing the construction requirements of big data pipelines, a distributed sensor terminal for multi-parameter monitoring of oil and gas pipeline anti-corrosion was designed. The terminal uses the microprocessor S3C2440A as the core, and several sensors form a multi-parameter sensor array monitoring circuit, and realizes the data transmission of the Internet of Things through the 4G DTU communication module and TCP protocol. The device can sense the temperature value, reference potential value, programmable power supply current and voltage output value of the long-distance pipeline in real time, and realize the data interaction with the cloud server. Tests show that the device is practical in realizing the application of big data pipeline monitoring value. © 2020 IEEE.

关键词： Internet of things

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Creation and control of high-dimensional multi-partite classically entangled light

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Light(Science & Applications) 2021年第5期10卷 796-805页

作者： Yjie Shen Iaac Nape Xilin Yang Xing Fu Mali Gong Darryl Naidoo Andrew Forbes School of Physics University of the WitwatersrandPrivate Bag 3Wits 2050South Africa State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua University100084 BeijingChina Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Key Laboratory of Photonic Control Technology(Tsinghua University) Ministry of Education100084 BeijingChina CSIR National Laser Centre PO Box 395Pretoria 0001South Africa Optoelectronics Research Centre University of SouthamptonSouthampton S0171BJUK

Vector beams,non-separable in spatial mode and polarisation,have emerged as enabling tools in many diverse applications,from communication to *** applicability has been achieved by sophisticated laser designs controlling the spin and orbital angular momentum,but so far is restricted to only two-dimensional *** we demonstrate the first vectorially structured light created and fully controlled in eight dimensions,a new *** externally modulate our beam to control,for the frst time,the complete set of classical Greenberger-Horne-Zeilinger(GHZ)states in paraxial structured light beams,in analogy with high-dimensional multi-partite quantum entangled states,and introduce a new tomography method to verify their *** complete theoretical framework reveals a rich parameter space for further extending the dimensionality and degrees of freedom,opening new pathways for vetorilly structured light in the classical and quantum regimes.

关键词： quantum analogy dimensions

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Development of a 3-RRS Micromanipulator Based on Origami-Inspired Spherical Joint

Development of a 3-RRS Micromanipulator Based on Origami-Ins...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Haoqi Han Xiaoming Liu Yan Chen Hao Pang Xiaoqing Tang Dan Liu Qiang Huang Tatsuo Arai Beijing Advanced Innovation Center for Intelligent Robots and Systems and School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Department of Micro-Nano Electronics Shanghai Jiao Tong University China Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In recent years, micromanipulation technology has achieved extensive applications in industry and life science. Improving the precision and bandwidth of the micromanipulator and simultaneously reducing size, weight, and cost pose significant challenges to the existing micromanipulator design and fabrication methods. Here, we propose a 3-RRS micromanipulator with an origami-inspired spherical joint based on the PC-MEMS process, aiming for miniaturization and cost-effectiveness. The spherical joint allows rotations of 140° around the x-axis approximately, 140° around the y-axis approximately, and 20° around the z-axis approximately. The micromanipulator has weights of 0.8 g, dimensions of 16 mm × 16 mm × 22 mm, and workspace of 0.7 mm 3 . The end platform of the micromanipulator can be equipped with various effectors to accomplish different kinds of tasks. Experimental results validated its high precision and bandwidth, exhibiting its potential to perform intricate micromanipulation tasks.

关键词： Industries Fabrication Costs Micromanipulators Design methodology Bandwidth Life sciences

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Research on license plate recognition of two-wheel motor vehicle based on image processing 3

Research on license plate recognition of two-wheel motor veh...

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3rd International Conference on Computer Network, Electronic and Automation, ICCNEA 2020

作者： Li, Tong Zhang, Qizhi Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China Xi an Shiyou University School of Electronic Engineering Xi'an China

ISBN: (纸本)9781728170831

The convenience and economy of non-four-wheel motor vehicles are favored, and the number of non-four-wheel motor vehicles is rapidly increasing. However, it also brings some problems to road traffic safety management. The traffic management department has put forward a series of management measures, and how to recognize its license plate has become the premise. This paper realizes the license plate recognition by preprocessing the original image, license plate positioning, character segmentation, character recognition and other processes, and achieves the expected effect, which has reference significance for the research of license plate recognition. © 2020 IEEE.

关键词： Roads and streets

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Research on an improved single neuron pi control strategy 3

Research on an improved single neuron pi control strategy

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3rd International Conference on Computer Network, Electronic and Automation, ICCNEA 2020

作者： Li, Lin Luo, Mingshuai School of Electronic Engineering Xi'An Shiyou University Xi'an China Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China

ISBN: (纸本)9781728170831

In the control system of AC variable frequency speed regulation of asynchronous motor, vector control method is adopted in most of them, and PI control strategy is usually used in speed loop of vector control system. For pulse load system, such as sports training treadmill, the parameters of PI controller in vector control system can't be modified timely according to the characteristics of pulse load, so it can't obtain high-efficiency smooth speed regulation characteristics. Therefore, a single neuron PI control strategy is proposed, which can improve the online performance of single neuron PI controller by establishing a learning algorithm of single neuron gain K Real time adjustment capability. The motor control system based on motion training treadmill is studied in this paper. The model of asynchronous motor vector control system is built in Matlab / Simulink environment. The PI algorithm and single neuron PI algorithm are compared, and the influence of single neuron PI algorithm on the control quality of the whole system is discussed. © 2020 IEEE.

关键词： MATLAB

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Performance analysis of linear regression based on python 2nd

Performance analysis of linear regression based on python

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2nd International Cognitive Cities Conference, IC3 2019

作者： Shen, Gongxin Liu, Qihe School of Information Engineering Nanjing Polytechnic Institute Nanjing210048 China Jiangsu Province Fluid Sealing and Measurement and Control Engineering Technology Research and Development Center Nanjing210044 China

ISBN: (纸本)9789811561122

Python language has become the most popular machine learning language because of its simplicity, readability and expansibility. By expanding the library NumPy, it can achieve fast array processing. At the same time, Python can directly implement machine learning algorithm by extending TensorFlow framework, but there is a lack of quantitative analysis among different methods. This paper simulates different amounts of data and then realizes linear regression with NumPy library and TensorFlow framework respectively. By comparing the calculation time of the same number of iterations and the analysis of the same number of iterations with the same accuracy, A quantitative data analysis is given, which provides some reference for the practical application of NumPy library and TensorFlow framework. © Springer Nature Singapore Pte Ltd 2020.

关键词： Python

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