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computer Model of Radio Frequency Power Amplifier

Computer Model of Radio Frequency Power Amplifier

引用

IEEE international conference on Advanced Trends in Information Theory (ATIT)

作者： Oleksandr Pliushch Yurii Kravchenko Olena Matviichuk-Yudina Anatolii Rybydajlo Oleksandr Trush Roman Mykolaichuk Taras Shevchenko National University of Kyiv Kyiv Ukraine National Aviation University Kyiv Ukraine Center for Military and Strategic Studies of the National Defence University of Ukraine Named After Ivan Cherniakhovskyi Kyiv Ukraine

ISBN: (纸本)9781665406673

Processes in output circuits of radiofrequency power amplifiers are considered. It is shown that traditional analytical methods of their performance analysis are complex and time-consuming. Application of computer simulation in MATLAB environment for studying performance of radiofrequency power amplifiers is proposed. A model of a tuned output circuit of the class C power amplifier is designed. This model accounts for resonance properties of the tuned circuit as well active losses in it. Verification of the model was carried out for standard situations using well-known formulas for amplitudes of harmonic components. Verification results clearly show validity of the model. For example, when it comes to harmonic components, the model has an error around half a percent. The designed model was used to study the circuit performance in two scenarios of interest and obtained results conform to the theoretical interpretations of the processes in radiofrequency amplifiers. The designed model clearly, graphically and with high precision shows the processes unfolding in the output circuits of the power amplifier. It can be used to study performance of the power amplifiers and to search for ways to improve their characteristics.

关键词： Circuit optimization Computational modeling computer simulation Power amplifiers RLC circuits Radiofrequency amplifiers Harmonic analysis

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Temperature field simulation of 27.5kV Environment-friendly Gas Insulated Switchgear based on ANSYS

Temperature field Simulation of 27.5kV Environment-friendly ...

引用

Science and Technology Innovation (IAECST), international Academic Exchange conference on

作者： Xiaojing Tian Long Xu Haoming Sun Huajun Dong School of Mechanical Engineering Dalian Jiaotong University Dalian China School of Computer and Communication Engineering Dalian Jiaotong University Dalian China

ISBN: (纸本)9781665402682

27.5kV environment-friendly gas insulated switchgear has gradually become a key link in the power supply system of high-speed railway. The heating and heat dissipation of switchgear is a key problem to be studied and solved in the process of its miniaturization, development and application. In this paper, the finite element simulation software ANSYS is used to simulate the environment in the cabinet, and the temperature field and air flow field of 27.5kV gas insulated switchgear are studied. The main research contents include the establishment of three-dimensional model of switchgear based on solid works, the setting of boundary conditions of ANSYS Icepak, and finally solved by fluent solver to simulate the three-dimensional temperature field of switchgear under different insulating gas conditions and different gas mixing ratio. For 27.5kV closed gas switchgear, the temperature field of insulating gas is simulated and compared by using dry air, CF3I gas, SF6 / N2 mixed gas and CF3I / N2 mixed gas respectively. The simulation results lay a foundation for the research and application of environment-friendly mixed gas insulated switchgear from the perspective of temperature field.

关键词： Heating systems Technological innovation Power supplies Switchgear Atmospheric modeling simulation Sulfur hexafluoride

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A Travelling Recommendation System based on Knowledge Graph

A Travelling Recommendation System based on Knowledge Graph

引用

Science and Technology Innovation (IAECST), international Academic Exchange conference on

作者： G. R. Dai J. Y. Xu H. Zhou L. Zhou Z. H. Cao M. D. Zhu Faculty of Computer and Software Engineering Huaiyin Institute Of Technology

ISBN: (纸本)9781665402682

In recent years, the improvement of people’s live standard lead to an increasing demand for travelling, but the information on scenic spots on the Internet is ponderous and the accuracy of scenic spot recommendations is not high. This study aims to solve these problems to realize a more accurate scenic spot recommendation for self-drivings and provide a better visualization of recommendation results. A recommendation model based on the Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation (MKR) algorithm is designed in this study. Then, based on this model, an intelligent knowledge graph based recommendation system for scenic spots is constructed. Rich unstructured text data of scenic spots in major scenic spot websites are crawled using Selenium and are stored and managed by the neo4j graph database. Through experimental simulation, the recommendation accuracy can reach over 84%. Compared to the Propagating User Preferences on the Knowledge Graph for Recommender Systems (RippleNet), the accuracy rate is enhanced by 6.2%.

关键词： Representation learning Technological innovation Databases Data visualization Multitasking Selenium Internet

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Research on Engine simulation and Assembly Based on computer Digital Twin 2021

Research on Engine Simulation and Assembly Based on Computer...

引用

2021 3rd international conference on Artificial Intelligence and Advanced Manufacture

作者： Mu Lin Weidong He Lijun Shan Dalian Jiaotong University China

ISBN: (纸本)9781450385046

The current digital engine model only considers the surface geometric errors generated during the part manufacturing process and does not include information such as feature registration constraints and physical properties. The virtual assembly simulation results based on this digital model will be quite different from the actual assembly. This paper proposes a digital twin assembly model expression method that integrates multi-level information. Based on the engine geometry layer model, the shape, pose, and physical characteristics of the engine parts that affect subsequent assembly are considered to generate a real physical engine. A digital twin with identical parts. First, collect feature point cloud, registration element, center of mass information and other information from real engine parts, divide them into geometric shape layer, pose constraint layer, and physical state layer to construct a hierarchical model of engine part features. Secondly, perform reverse modeling for different levels, including geometric shape models based on polynomial fitting and discrete cosine transformation, pose constraint models based on element feature registration, and physical state models based on contact deformation, so as to obtain engine parts containing real information Digital twin. Based on the digital twin of engine parts, the assembly twin frame is constructed by fusing assembly process information. Finally, the research on the engine assembly technology example driven by the digital twin is carried out. Through the interaction and integration of the physical process of engine assembly and the digital model, the intelligence, initiative and predictability of the engine assembly process are improved, and the assembly level is promoted.

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A Spatial Variant Phase Compensation algorithm for Bistatic ISAR Imaging of Maneuvering Targets Based on Optimal Parameter Estimation

A Spatial Variant Phase Compensation Algorithm for Bistatic ...

引用

IEEE international conference on Radar

作者： Jiabao Ding Jiadong Wang Yachao Li Ziyue Sun National Laboratory of Radar Signal Processing Xidian University Xi'an China Academy of Advanced Interdisciplinary Researsh Xidian University Xi'an China School of Engineering and Computer Science University of Exeter Exeter UK

ISBN: (纸本)9781665468893

When imaging a maneuvering target with complex three-dimensional (3-D) non-uniform rotational motion, the traditional range Doppler (rd) algorithm for bistatic inverse synthetic aperture radar (Bi-ISAR) will fail due to the presence of phase errors. Moreover, due to the time-varying property of the imaging projection plane (IPP), the phase errors are two-dimensional (2-D) spatial variant. In order to deal with these problems, we propose a spatial variant phase compensation (SVPC) method based on parametric minimun entropy optimization to compensate for the 2-D spatial variant phase errors. The main contribution of the proposed method is to give an accurate expression of the 2-D spatial variant model and optimally compensate the 2-D spatial variant phase errors in the Bi-ISAR configuration. simulation results verify the effectiveness of the proposed algorithm.

关键词： Solid modeling Atmospheric modeling Airborne radar Two dimensional displays Imaging Radar imaging Entropy

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Vehicle-road Collaborative Recognition Method Based on ResNet and Improved SSD

Vehicle-road Collaborative Recognition Method Based on ResNe...

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Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), international conference on

作者： Leping Zhang School of Computer and Information Technology Beijing Jiaotong University 3rd Shangyuancun Haidian District Beijing

ISBN: (数字)9781665415408

ISBN: (纸本)9781665447065

This paper proposes a new method of automatic driving. First of all, A* algorithm is used to determine the next step forward direction of the automatic vehicle. At the same time, ResNet network and SSD network improved by focal loss are used to avoid right lights and obstacles respectively. ResNet network is used to detect whether there is a red light in front. The SSD network improved by focal loss is used to detect whether there is an obstacle in front of the vehicle and judge whether the obstacle can affect the vehicle forward. The judgment results of the two networks are combined to decide whether the vehicle stops or not. This paper will be tested in the simulation environment, and accuracy of the combination of ResNet network and SSD network is 77.2%.

关键词： conferences Collaboration Big Data Internet of Things Artificial intelligence

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Path Planning of Mobile Robots Using Enhanced Particle Swarm Optimization

Path Planning of Mobile Robots Using Enhanced Particle Swarm...

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international conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE)

作者： Kousik Sarkar Bunil Kumar Balabantaray Alok Chakrabarty Bibhuti Bhusan Biswal Biswajit Mohanty Computer Science and Engineering NIT Shillong Meghalaya India Mechanical Engineering NIT Shillong Meghalaya India

ISBN: (纸本)9781665430869

With the rapid growth of technology and extensive application of robots, autonomous mobile robots have gained a lot of attention in industry and research. One of the crucial issues is to find out a collision-free path through which robots can reach the destination. In this paper, evolutionary optimization based autonomous path planning approach for mobile robots is proposed. We have introduced an adaptive fitness function which takes care of three crucial aspects such as (i) avoidance of obstacles in the path (ii) selection of shorter path length and (iii) selection of smoother path of the path planning process. Particle swarm optimization (PSO) algorithm is used to optimize the fitness function. Optimization of the objective function via suggested fitness function enables to generate a smoother and collision free path from the initial position to the destination position in presence of various obstacles. Extensive simulation experiments are performed to validate the performance of our proposed work. Performance behavior of our proposed work is compared with some of the existing state-of-the-art optimization based path planning methods and found to produce superior results.

关键词： Service robots Tracking simulation Linear programming Path planning Safety Mobile robots

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Design of Fuzzy Logic Controller for Maximum Power Tracking of PV Systems with Its Economical Configurable Implementation on Arduino 2020

Design of Fuzzy Logic Controller for Maximum Power Tracking ...

引用

Proceedings of the 3rd international conference on Information Technologies and Electrical Engineering

作者： Ayman Youssef Sawsan M. Gharghory Abdelhalim zekry Computer and Systems Electronics Research Institute Egypt Giza Electronics and Communication Ain shams Egypt Giza

ISBN: (纸本)9781450388665

this paper introduces a complete design of a fuzzy controller for MPPT in PV systems. The proposed controller is simulated in Simulink to prove the superior performance of the proposed fuzzy controller over the traditional perturb and observe algorithm. The simulation results show that the fuzzy controller has faster response and higher efficiency than perturb and observe controller. Hardware implementation of the proposed fuzzy controller is introduced. In this implementation low cost Arduino Uno controllers are used to implement the proposed controller. A complete hardware setup is introduced. A simple Arduino code software is written to control the Kit to perform the MPPT task. The hardware equipment consists of a power supply, Arduino kit, boost converter kit, resistor loads, current sensor, and voltage regulator board. A hardware test is performed in the lab to prove that the proposed fuzzy controller is working properly and tracking the maximum power as expected.

关键词： MPPT inverter Arduino fuzzy logic

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Performance Analysis of Adaptive Variational Mode Decomposition Approach for Image Encryption 20

Performance Analysis of Adaptive Variational Mode Decomposit...

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Proceedings of the 2020 3rd international conference on E-Business, Information Management and computer Science

作者： Feng Heng Ruru Liu Zuo Sun College of computer and Information Hefei University of Technology Hefei China College of Electrical and Mechanical Engineering Chizhou University Chizhou Anhui China

ISBN: (纸本)9781450389099

A mapping function relation is generated by a variational mode decomposition (VMD) transform, and an adaptive image encryption algorithm based on VMD is proposed. The image sequence is generated using VMD is divided into high frequency, middle frequency, and low frequency according to the entropy value of its mode transformation. The advantages of this algorithm are that the cross-mapping is generated according to VMD, the low-frequency part is the main energy concentration area of the image, the image processing encryption is carried out in the other generated images, the encryption does not affect the original image, and the robustness is improved. The simulation results showed that the algorithm had a good effect of encryption and restoration by measuring the root mean square error and the Euclidean distance. Experiment showed that the proposed method was more robust to the complex distribution of faces than the existing methods considered, yielding favourably comparable results to the state-of-the-art methods on data encryption. The results also showed that the proposed method was scalable in other areas of datasets. Furthermore, we showed that the proposed method did not need the number of features as a prior, was aware of noises and outliers, and could be extended to a multi-view version for more accurate clustering accuracy. These steps, which should require generation of the final output from the styled paper, are mentioned here in this paragraph. First, users have to run "Reference Numbering" from the "Reference Elements" menu; this is the first step to start the bibliography marking (it should be clicked while keeping the cursor at the beginning of the reference list). After the marking is complete, the reference element runs all the options under the "Cross Linking" menu.

关键词： Intelligent algorithms/Computing

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