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A PWM-SAR ADC with Asynchronous control Unit for Mixed-Signal Accelerators 20

A PWM-SAR ADC with Asynchronous Control Unit for Mixed-Signa...

引用

20th International conference on Synthesis, Modeling, Analysis and Simulation Methods and applications to Circuit Design, SMACD 2024

作者： Caselli, Michele Boni, Andrea Caselli, Stefano University of Parma Department of Engineering and Architecture Italy

ISBN: (纸本)9798350351927

This paper describes a pulse-width modulated (PWM)-SAR A/D converter (ADC), in 22 nm FD-SOI technology, for mixed-signal accelerators and Machine Learning applications. The ADC integrates an asynchronous control unit to optimize the interaction with an asynchronous PWM D/A converter (DAC), thereby increasing the maximum conversion speed with respect to a synchronous control. The design achieves a conversion speed up to 36 MS/s, at 7 bits of resolution, with an improvement of more than three times compared with a synchronous implementation in the same technology. The converter exhibits an energy per conversion of 350 fJ, a signal-to-noise and distortion ratio of 42.5 dB, and a silicon area of 120 μm2. © 2024 ieee.

关键词： Pulse width modulation

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Transformer-based Sideslip Angle Estimation for Autonomous Vehicle applications 14

Transformer-based Sideslip Angle Estimation for Autonomous V...

引用

14th Asian control conference (ASCC)

作者： Meng, Dele Li, Zongxuan Chu, Hongqing Tian, Mengjian Kang, Qiao Gao, Bingzhao Tongji Univ Clean Energy Automot Engn Ctr Shanghai Peoples R China Tongji Univ Coll Automot Studies Shanghai Peoples R China Shenzhen Technol Univ Coll Urban Ransportat & Logist Shenzhen Peoples R China

ISBN: (纸本)9798331540845;9789887581598

This paper presents a preliminary study on sideslip angle estimation for autonomous vehicles (AVs) based on the Transformer architecture. Specifically, considering the decisive role of the dataset in the network's inference results, a highcoverage dataset is constructed from three inputs: vehicle speed, steering wheel angle, and road surface coefficient, which is used for offline training of the network. Additionally, the model-based Extended Kalman Filter (EKF) algorithm and data-driven Long Short-Term Memory (LSTM) network are designed as baseline methods for comparison. Co-simulation results under varying vehicle speeds demonstrate that the neural network-based approach achieves significantly higher accuracy in sideslip angle estimation compared to the model-based method. Furthermore, the Transformer-based approach exhibits lower mean absolute error (MAE) and root mean square error (RMSE) in sideslip angle estimation compared to LSTM. These preliminary results validate the effectiveness of using the Transformer for solving vehicle state estimation problems.

关键词： Autonomous vehicle Sideslip angle estimation Transformer Long short-term memory Extended Kalman filter

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Artificial Intelligence in Fintech: Emerging Trends and Use Cases 7

Artificial Intelligence in Fintech: Emerging Trends and Use ...

引用

ieee 7th International conference on Advanced Technologies, Signal and Image Processing (ATSIP)

作者： Ahmed, Mohammad Nadeem Anand, Abhijeet Hussain, Mohammad Rashid Ahmed, Mohammed Mohsin Khan, Imran Mohd Rasool, Mohammad Ashiquee King Khalid Univ Dept Comp Sci Coll Comp Sci Abha Saudi Arabia Chandigarh Univ Dept Comp Sci Punajab Mohali India King Khalid Univ Dept Business Informat Coll Business Abha Saudi Arabia

ISBN: (纸本)9798350351491;9798350351484

The Fintech industry is currently experiencing a major shift as Artificial Intelligence (AI) becomes more integrated, fundamentally changing how financial services are provided, overseen, and enhanced. This study explores the ever-evolving landscape of AI in Fintech, examining the most recent advancements and impactful applications. As AI technologies continue to evolve, they find their way into the core operations of Fintech, encompassing risk assessment, fraud prevention, customer service, and investment strategies. This paper provides a detailed examination of these cutting-edge applications, highlighting their significance and potential. Notable trends discussed in this research encompass Explainable AI, the increasing emphasis on data security and privacy, and the global proliferation of AI-powered financial solutions. Furthermore, the paper investigates the intricate landscape of regulations and ethical considerations governing AI in Fintech and the strategies in place to navigate them. This comprehensive analysis of AI's impact on Fintech aims to provide a holistic view of the current landscape while offering insights into the future trajectories of this symbiotic relationship. It serves as a valuable resource for industry practitioners, policymakers, and researchers interested in harnessing the transformative potential of AI within the financial technology domain.

关键词： Artificial Intelligence (AI) Fintech Financial technology Emerging Trends Innovation Financial Services Risk Management Fraud Detection Customer Service Investment Strategies

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Precise Movement control of Agricultural Robot Car Based on PID control Algorithm 2

Precise Movement Control of Agricultural Robot Car Based on ...

引用

2nd ieee International conference on Image Processing and Computer applications, ICIPCA 2024

作者： Xiao, Lingfei School of International Education Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350360240

Proportional integral derivative (PID) algorithm control is the most common control method in robot control, and agricultural harvesting robots have been a very popular robot application in recent years. This algorithm can achieve precise movement of the car, thereby promoting the implementation of robot automation for picking. This article utilizes the simulation function in Simulink in Matlab software to explore the impact of different parameter choices in the PID process on control effectiveness. Based on the analysis of the results, appropriate parameters for the proportional, integral, and differential links were ultimately obtained, and ideal control effects were achieved. In the discussion section, this article gradually analyzed the role of each link in PID control and the different values of parameters that can lead to different control results. Based on the research results obtained, there are still many challenges and opportunities surrounding of intelligent agricultural robot. This article provides some suggestions for the future development and improvement of PID algorithm control, so that it can be applied to more complex situations and continue to explore new research directions and application scenarios. Through such efforts, it's believed that the intelligence of agricultural robot will become an important development direction in the future agricultural production field. © 2024 ieee.

关键词： MATLAB

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Aerial Photography technology and Strategies for Renovating Old Pig Farms 7

Aerial Photography Technology and Strategies for Renovating ...

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7th ieee Information technology, Networking, Electronic and Automation control conference, ITNEC 2024

作者： Chen, Shanfeng Deng, Huasheng Guangdong Institute of Modern Agricultural Equipment China Ministry of Agriculture and Rural Affairs Key Laboratory of Modern Agricultural Intelligent Equipment in South China China Guangdong Guangxing Animal Husbandry Machinery Equipment Co. Ltd. China

ISBN: (纸本)9798350370782

This paper explores the technology and strategies of using drones for external equipment surveying in the renovation of old pig farms in South China. Without interfering with production, drone aerial photography technology can effectively reduce construction time and cost while improving the accuracy of construction plans. The research includes monocular vision estimation of contour length, a candidate aerial photography point selection strategy based on the bucket effect, and analysis of typical cases in practical applications. The results show that this method significantly enhances aerial photography efficiency and safety, providing new methods and ideas for the renovation of old pig farms, with significant practical value and application prospects. © 2024 ieee.

关键词： Drones

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Energy-Consumption Optimization control for Lunar Rover's Travel with Torque-Distribution-strategy in Rear Wheels

Energy-Consumption Optimization Control for Lunar Rover's Tr...

引用

2024 ieee International conference on control Science and Systems Engineering, ICCSSE 2024

作者： Li, Delun Cao, Jianfei Chen, Yiliang Xie, Zongwu Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Beijing Institute of Spacecraft System Engineering Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing China

ISBN: (纸本)9798331517199

In anticipation of future extensive lunar surface operations, lunar rovers are required to advance towards higher speeds and improved energy conservation. When traveling at high speeds on the lunar surface, the vehicle's energy expenditure is greatly amplified by the influence of the terrain, particularly in conditions where driving and steering are coupled. This paper proposes an energy-saving control strategy for lunar rovers that employs dynamic rear-axle torque distribution, with the goal of optimizing transient energy consumption during travel. To tackle the challenge of non-differentiable functions within the optimization objectives, we suggest using a zeroth-order gradient optimization method for resolution, dynamically constraining the range of control parameters to fulfill the dynamic torque distribution objectives as needed for the task. The energy-saving control effectiveness of the algorithm has been confirmed through simulation, demonstrating a minimum energy-saving ratio of at least 4%, which increases to over 11% as the speed level rises, offering a valuable technical solution for the energy optimization of lunar rovers. © 2024 ieee.

关键词： Rovers

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A Deep Learning Based Vehicle Detection Method for Road Scenes 6

A Deep Learning Based Vehicle Detection Method for Road Scen...

引用

6th ieee Advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2024

作者： Xiao, Zijie Huang, Chaobing Wuhan University of Technology School of Information Engineering Wuhan China

ISBN: (纸本)9798350316520

Currently, there are numerous vehicle detection algorithms available. However, in real-world road scenes, factors such as difficult-to-identify features, low resolution, and complex environments often lead to situations of false and missed detections, making it challenging to achieving high accuracy while maintaining high detection speed in practical applications. This paper proposes a multi-scale vehicle detector based on one-stage network YOLOv7, incorporating the Multi-level Feature Pyramid Network (MFPN) into the network to enhance direct interaction between non-adjacent layers. Since the localization accuracy of vehicle detection largely depends on the bounding box loss function, the focal loss combined with the SIoU loss - - Focaler-SIoU is introduced to replace the original bounding box regression loss. The improved network achieved an average precision of 73.9% on the UADETRAC dataset. © 2024 ieee.

关键词： Roads and streets

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Multi-User Interference Suppression in Phased Arrays with Quantized control in Millimeter Wave Communication Networks 98

Multi-User Interference Suppression in Phased Arrays with Qu...

引用

98th ieee Vehicular technology conference (VTC-Fall)

作者： Su, Zhenbei Huang, Xiaoxia Sun Yat Sen Univ Sch Elect & Commun Engn Guangzhou Peoples R China

ISBN: (纸本)9798350329285

In millimeter-wave communication networks, sidelobe leakage of phased array antennas can cause mutual interference to receiving devices, resulting in reduced network throughput. By optimizing the weights of antenna elements, nulls can be created to suppress the interference. However, commercial low-cost millimeter-wave phased arrays often not only lack amplitude control but also offer limited bits control. Therefore, interference suppression with highly quantized phase control is of great significance for practical applications of millimeter-wave communications. Existing algorithms for null steering and generation mainly consider continuous phase control which cannot adapt well to the quantized phase tuning for multi-user communications over the downlink. Moreover, the optimization of multiple nulls is inherently a discrete programming which is generally intractable. The authors propose a null generation algorithm for sole phase control based on the Levenberg-Marquardt algorithm. The algorithm takes into account phase quantization, making it convenient to implement wide and multiple nulls. Simulation results show that the algorithm can generate deep and wide nulls even with low phase resolution. Moreover, the algorithm is validated with Commercial Off-The-Shelf low-cost 60 GHz communication devices. Experimental results demonstrate that the algorithm achieves interference suppression up to 22.93 dB with a 4-bit phased array.

关键词： mmWave communication interference suppression phased array antenna phase quantization

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Adaptive Anomaly Detection in Industrial Systems: An EVT-DTS Approach with LSTM Autoencoders

Adaptive Anomaly Detection in Industrial Systems: An EVT-DTS...

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ieee International Instrumentation and Measurement technology conference (I2MTC)

作者： Yu, Bing Xu, Jiakai Xiang, Gang Lin, RuiShi Zhao, LiGuo Yu, Yang Harbin Inst Technol Sch Elect & Informat Engn Harbin Peoples R China Beijing Aerosp Automat Control Inst Dept Syst Engn Beijing Peoples R China

ISBN: (纸本)9798350380903;9798350380910

The reliability of modern industrial systems is rigid;therefore, it is mandatory to monitor the system status and detect anomalies accurately. A long short-term memory (LSTM) network can be used to predict the trend of single-dimensional system test data and implement anomaly detection based on the prediction result. However, the structure of the modern system is complex, and strong dependencies may exist between different variables. The LSTM-based detection method cannot capture this dependency, and some anomalies can be ignored. Therefore, an anomaly detection framework based on the LSTM autoencoder is proposed in this paper. The autoencoder is applied to find the hidden dependency among variables by minimizing the reconstruction error of normal data, while the LSTM is used to capture the temporal dependencies in the time series. Moreover, a new dynamic error threshold selection strategy based on extreme value theory (EVT-DTS) is presented, which can avoid estimating the error distribution beforehand. The EVT-DTS method can dynamically adjust the error threshold according to the current input data error so that the overall optimal detection result can be obtained. Finally, we implement experiment on two industrial applications using the proposed method, which demonstrate its effectiveness in finding complex anomaly states in the system.

关键词： Anomaly detection industrial system long short-term memory autoencoder dynamic threshold selection extreme value theory

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Modeling and control of an Omnidirectional Mobile Robot for applications in Gait Learning 22

Modeling and Control of an Omnidirectional Mobile Robot for ...

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22nd ieee International conference on Industrial Informatics, INDIN 2024

作者： Coch, Victor B. Correa, Leonardo S. Souza, Gabriel A. Lopes, Letícia P.A. Pinto, Mateus B.O. Oliveira, Vinicius M. Botelho, Silvia Center for Computational Sciences C3 Federal University of Rio Grande - FURG RS Rio Grande Brazil

ISBN: (纸本)9798331527471

An area of robotics, assistive robotics, has been growing rapidly with recent advances in computing, control systems and instrumentation. Physio therapeutic procedures like gait rehabilitation and learning are often used for teaching and recovery of people with disabilities, especially children with cerebral palsy (CP), as the reinforcement of mobility is fundamental for the health and subsequent independence of the patient. These processes can benefit from assistive technologies to expedite the treatment, reducing physical strain of physiotherapists, increasing the efficiency of techniques and promoting better precision and repeatability for therapeutic movements. This paper presents the modeling and control of an omnidirectional mobile platform for applications in assistive robotics, aiming to expand this paradigm to incorporate greater possibilities of movement during the rehabilitation process. For this to be realized, the paper discusses questions such as the effects of holonomic approximations on dynamic modeling, proposes a control architecture, and introduces a physical prototype in the form of a low-cost generalized omnidirectional robotic platform integrated in ROS. © 2024 ieee.

关键词： Assistive technology

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