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Design of a Radar Transceiver Integrated control Unit based on FPGA

Design of a Radar Transceiver Integrated Control Unit based ...

引用

2022 ieee International conference on Artificial Intelligence and Computer applications, ICAICA 2022

作者： Rumeng, Liu Bin, Li Tao, Han Xi'an Branch of China Academy of Space Technology Xi'an China

ISBN: (数字)9781665499910

ISBN: (纸本)9781665499910

For real-time signal processing radar system, this paper designs and develops a radar transceiver control unit with high-speed real-time processing. The control unit is designed based on FPGA(Field Programmable Gate Array) to realize integrated design of radar transceiver timing control, DA signal transmission, receiver gain control and AD acquisition. The control units is connected through optical fiber interface to send the AD data to the real-time processing unit and storage unit. At the same time, the data in the storage unit can be forwarded back to the real-time processing unit. The integrated design meets the design requirements of modern radar for integration and miniaturization. It has a wide range of application scenarios. © 2022 ieee.

关键词： Field programmable gate arrays (FPGA)

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Single-View 3D Model Fast Reconstruction Method Based on Mesh Deformation 4

Single-View 3D Model Fast Reconstruction Method Based on Mes...

引用

4th International conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Yan, Jiazheng Chang, Faliang Liu, Chunsheng Wang, Dexin Shandong University School of Control Science and Engineering Jinan China

ISBN: (纸本)9798350394375

Object model reconstruction plays a vital role in enabling robotic tasks, such as grasping and human-robot collaboration technology. However, the reconstruction methods based on single-view images lack depth information and suffer from lower quality reconstruction for occluded parts, which limits the model's robustness and generalization capabilities. To address these challenges, this paper proposes a single-view 3D model reconstruction method based on model retrieval and deformation. By constructing a database to store source models and incorporating graph convolution and attention mechanisms in network design, the method enables efficient model selection and surface reconstruction. Additionally, a simulation scene is established for validating the object grasp. This method holds significant potential for applications in human-machine collaborative scene, providing an effective solution for object K-Nearest Neighbor grasp tasks. © 2024 ieee.

关键词： Convolution

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Research on the Application of Big Data in the Performance Management of University Teachers 7

Research on the Application of Big Data in the Performance M...

引用

7th International conference on Artificial Intelligence and Big Data (ICAIBD)

作者： Yuan, Zhangjie Chen, Keyu Wang, Ting Cao, Yu Segi Univ Fac Engn Built Environm & Informat Technol Petaling Jaya Selangor Malaysia Chongqing Coll Sci & Creat Sch Artificial Intelligence Chongqing Peoples R China China Univ Min & Technol Sch Informat & Control Engn Xuzhou Jiangsu Peoples R China Luzhou Wenjie Technol Co Ltd Gen Manager Off Luzhou Peoples R China

ISBN: (纸本)9798350385113;9798350385106

Scientific and technological progress has promoted social change, and digital technologies such as big data, the Internet, cloud computing, and the Internet of Things have begun to develop, changing human thinking structure, living habits, learning behaviors, communication methods, and production technologies. Big data, as a hot topic in current digital technology and digital development, is based on massive data and generates value through computational analysis. It has been applied in various fields and different scenarios. China has issued the "Overall Layout Plan for Digital China Construction" document, which clarifies the need to accelerate the construction of Digital China, promote digital technology innovation, improve the digital governance system, and enhance digital security capabilities. The digital reform and development of education is an important part of the construction of a digital China, and it is an inevitable path to achieve the modernization of China's education. The development of digital education requires innovative digital applications in teaching methods, teaching resources, teaching evaluation, educational governance, and actively promoting the application of digital technologies such as big data and cloud computing in specific educational scenarios. The performance management of university teachers, as one of the important contents of educational governance and university management, relies on big data to establish a data governance system for the performance management of university teachers, which is precisely the demand for the digital development and construction of education. This article explores the application of big data in the digital construction of performance management for university teachers from three aspects: background, definition and characteristics of big data, and digitalization of performance management for university teachers. With big data as the core and data governance as the goal, big data application design is

关键词： digital technology big data data governance University teachers performance management

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Sensor packaging method based on the solid tire sole of wheel-legged robot 4

Sensor packaging method based on the solid tire sole of whee...

引用

4th International conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024

作者： Huang, Chao Wang, Yaodong Guo, Min Hong, Meng Wuhan University of Technology Hubei Provincial Engineering Research Center of Robotics&Intelligent Manufacturing Wuhan China

ISBN: (纸本)9798331531225

For wheel-legged robots, the unique wheel-legged structure significantly influences the dynamics and kinematic behavior of the foot during ground contact. This paper presents a resistive strain gauge sensor integration scheme for solid tires, wherein sensors are embedded within the tires to actively monitor the touchdown information of the foot-end. A method is proposed for embedding the solid tires in circumferential arrays to capture the plantar strain state, which supports the control system of wheel-legged robots. To evaluate the effectiveness of this sensor package, a simulated impact experiment was conducted to simulate the wheel-legged ground contact. The experimental results demonstrate that the strain gauge embedding method effectively detects the strain response of solid tires under impact. Since ground contact information is crucial for the autonomous switching of the wheel-legged structure in robots, the successful implementation of this sensing system for ground contact monitoring holds significant potential for both research and practical engineering applications. © 2024 ieee.

关键词： Strain gages

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Recent Challenges, Issues, and Initiatives for Cloud Computing Adoption in Healthcare: A Survey 9

Recent Challenges, Issues, and Initiatives for Cloud Computi...

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9th International conference on control, Decision and Information Technologies, CoDIT 2023

作者： Al-Tawara, Feda'a Khalifeh, Ala' Princess Sumaya University for Technology Department of Software Engineering Amman Jordan German Jordanian University Department of Software Engineering Amman Jordan

ISBN: (纸本)9798350311402

There are many opportunities and advantages that cloud computing adoption can bring to the healthcare field, as experts believe that it can help improve the level of healthcare services significantly and contribute to its regular and continuous innovation. This paper provides a comprehensive review of the current literature on the common limitations and problems facing the cloud in healthcare. A brief introduction to cloud computing and the benefits of its adoption is also provided, in addition to a review of the most important security protection standards applied in this field. This paper highlights the most important problems and challenges that still exist in cloud-based healthcare systems. Finally, relevant recent research is reviewed and the most recent initiatives that contribute to solving problems for healthcare applications are identified. It was concluded that these solutions and initiatives are not comprehensive in nature as they partially address issues related to data security in the cloud. © 2023 ieee.

关键词： Health care

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SoC and SoH Prediction of PEVs Using Different Machine Learning Techniques 3

SoC and SoH Prediction of PEVs Using Different Machine Learn...

引用

3rd ieee International conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Sahoo, Jajna Prasad Abhinav, D. Sivasubramani, S. Indian Institute of Technology Department of Electrical Engineering Patna801106 India

ISBN: (纸本)9798350304732

The adoption of non-fossil fuel sources poses fundamental difficulties in the field of battery technological advances. The continuous electrification of transportation poses the complication of properly charging Plug-in electric vehicles (PEVs) despite the restricted capacity of charging facilities. The state of charge (SoC), and state of health (SoC), are critical parameters for assessing the performance and longevity of a battery used in PEVs. With precise (SoC) and SoH predictions, a battery management system(BMS) may prohibit every cell within the battery bank from excessively charging or discharging, extending its life. Traditional methods for measuring these parameters can be time-consuming and require expensive equipment. Machine learning (ML) techniques have shown promise in accurately predicting (SoC) and SoH based on battery usage data. This paper provides an overview of using ML to measure the SoC and SoH. It covers the various ML algorithms and techniques, such as decision Random Forest Regression, Long Short Term Memory(LSTM), and Convolutional neural networks(CNN). It also discusses the data acquisition and pre-processing steps required for accurate modeling. © 2023 ieee.

关键词： Convolutional neural networks LSTM Machine Learning Plug-in Electric Vehicles Random Forest Regression

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Research on Secondary-Side Synchronization Method of Wireless Power Transfer Systems 49

Research on Secondary-Side Synchronization Method of Wireles...

引用

49th Annual conference of the ieee Industrial Electronics Society, IECON 2023

作者： Li, Haoze Tan, Linlin Qi, Heqi Li, Xinguo Wu, Zhijun Huang, Xueliang School of Electrical Engineering Southeast University Nanjing China Southeast University Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Nanjing China

ISBN: (纸本)9798350331820

Synchronization between the primary and secondary sides is very important in wireless power transfer (WPT) systems. Especially in secondary-side control and bi-directional applications, the rectifier on the secondary side needs an accurate phase synchronization signal to properly control the conduction angle of the switches. However, the rectifier generates harmonic currents, making it impossible to obtain the synchronization signal directly by zero-crossing comparison of the secondary-side currents. The operating principle of the active rectifier in the WPT system is described. The harmonic currents generated by the active rectifier and the phenomenon of zero-crossing point forward shift caused by it are analyzed. The differences in the zero-crossing point forward shift between S-S and LCC-LCC systems are compared. In order to circumvent the effects of harmonics, a synchronization method based on a peak filter is proposed. The method is verified in simulation. The results show that after adding the filter to the control circuit, an accurate synchronization signal can be generated, and the circuit operates stably. © 2023 ieee.

关键词： Harmonic distortion

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Chaotic Lévy Based Supportive Action of Yellow Watchman Goby - Pistol Shrimp Search and Individual Deeds Based Optimization Algorithms for Active Power Loss Lessening in Electrical Transmission System 3

Chaotic Lévy Based Supportive Action of Yellow Watchman Gob...

引用

3rd ieee International conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Kanagasabai, Lenin Prasad V. Potluri Siddhartha Institute of Technology Chalasani Nagar Andhra Pradesh Kanuru Vijayawada520007 India

ISBN: (纸本)9798350304732

This paper proposes Chaotic Lévy based Yellow Watchman Goby- Pistol Shrimp search (LYP) algorithm and Individual deeds based optimization (IDO) algorithm for solving the active power loss reduction problem. In LYP Yellow Watchman Goby devote their period outdoor of the warren viewing out for any neighboring marauders. Existing in a collected manner in a limited region may appear a moment peculiar in view of both have the complete Marine base to select from nevertheless, by establishing a cooperative rapport both Yellow Watchman Goby and Pistol Shrimp coped to convert then as impeccable housemates. Yellow Watchman Goby own extremely upright eye vision, which is prodigious summary for Pistol Shrimp as it is virtually visionless. In IDO approachevery individual has owns a typical objective which is considered as fitness value in the procedure. The individual who is nearby to the concluding terminus designates an improved fitness value for the problem. In the first segment the individual get inspired by visualizing the deeds of the elders and it is practiced by the individual. Key part is the individual will regularly observe the elders and engender own plans to attain the objectives. © 2023 ieee.

关键词： Pistol Shrimp Yellow Watchman Goby

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Quantifying Uncertainty in Predicting Renewable Energy Time Series: ML applications 2

Quantifying Uncertainty in Predicting Renewable Energy Time ...

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2nd ieee International conference on IoT, Communication and Automation technology, ICICAT 2024

作者： Hashem, Amjad Allayith, A.A. Hussein, Liwaa Ali Zaidan, Doaa Talib Ali, Marwa Abdel Husain, Saif O. Mohammed, Alaa Alkunooze University College Computer Engineer Department Basra Iraq The University of Mashreq Baghdad10021 Iraq Mazaya University College Thi-Qar Iraq Kut University College Electronics Engineering Department of Laser and Optical Al Kut Iraq Uruk University Baghdad Iraq The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Al Diwaniyah Iraq Al-Farahidi University Baghdad Iraq

ISBN: (纸本)9798350368109

In later a long time, there has been a developing intrigued in time-lapse forecast approaches based on neural systems for the point of estimating renewable vitality era. Such determining is basic for moving forward the vitality administration frameworks in future micro-grids that will coordinated a considerable sum of sun oriented control generation. In any case, foreseeing sun oriented control era is troublesome since climate designs and the sun's pillars are unusual. In this ponder, we evaluate the affect of machine learning-based timed-series indicator equivocalness on the estimate precision of renewable vitality generation utilizing long-term time arrangement information from a veritable micro-grid in Sweden. We utilize Facebook Prophet and LSTM to produce a few machine learning expectation models by clustering. We assess the affect of utilizing inserted brilliance and meteorological information on exactness on both non-clustered and clustering models. Our assessments appear that clustering diminishes botch likelihood by more than 50%. When real-time on-site meteorological information is utilized for show preparing and approximated information is utilized for deduction, the greatest exactness increments due to clustering happen. This makes our approach a reasonable choice for utilize in real-world micro-grid frameworks. To successfully coordinated renewable vitality sources into the control lattice and move forward arranging, steadfastness, and fetched productivity, exact expectation of renewable vitality time arrangement information is basic. When it comes to taking into thought the inborn capriciousness and vacillation of renewable vitality sources, such sun oriented and wind control, conventional determining approaches frequently drop brief. The utilize of machine learning approaches to appraise and figure vulnerability in time arrangement information related to renewable vitality is explored in this work. Our objective is to move forward expectation exactnes

关键词： Weather forecasting

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A Lightweight Blockchain Scheme for Secure Data Communication in Internet of Things-enabled Wireless Sensor Network

A Lightweight Blockchain Scheme for Secure Data Communicatio...

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2024 International conference on Smart Systems for applications in Electrical Sciences, ICSSES 2024

作者： Balraj, Lavina Prasanth, A. Devi Sowndarya, K.K. Kuntavai, T. Sri Venkateswara College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Sriperumbudur India Institute of Science and Technology Tamil Nadu Vel Tech Rangarajan Dr. Sagunthala R&D Department of Computer Science and Engineering India DMI College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India Adhipara Sakthi Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chengalpattu India

ISBN: (纸本)9798350364040

In today's world, there will probably be an enormous rise in the volume of data sensed by sensors on the Internet of Things-enabled Wireless Sensor Network (IWSN). The sensed data from sensor nodes is gathered and transmitted to the sink. These sensor nodes suffer from several consequences including security, transparency, trust, and immutability. Furthermore, other technical impairments like computation, storage of sensed data, privacy, and energy conservation enhance the issues of the IWSN. To overcome this, a novel Blockchain Interplanetary File Access control System (BIFACS) has been proposed to manage intelligent autonomous access control for IWSN. Efficient data security and data transmission can be achieved in the proposed scheme by using the BIFACS algorithms. Further, the proposed scenario is implemented in the Solidity programming language and deployed on the local Ethereum. The efficacy of the proposed system has been analyzed based on computing, storage, and network performance. © 2024 ieee.

关键词： Smart contract

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