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Research on Motion Capture and Expression simulation Optimization Strategy of 3D Animation in Film Production

Research on Motion Capture and Expression Simulation Optimiz...

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Electrical, Automation and computer Engineering (ICEACE), international conference on

作者： Qiu Yuming Luo Muying Zhujiang College South China Agricultural University Zhujiang China Universiti Teknologi MARA Shah Alam Malaysia

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

3D animation has become an indispensable element in modern film production, and motion capture and expression simulation are the key technologies to realize the real dynamics of characters. This paper focuses on the optimization strategy of motion capture and expression simulation in 3D movie animation. Firstly, this paper uses Kinect device for motion capture, and realizes high-precision motion data acquisition through depth sensing and bone tracking technology. Then Taylor smoothing algorithm is used to process the captured data, which effectively reduces the noise and irregular motion, and improves the smoothness and naturalness of the data. In the aspect of expression simulation, this paper combines the facial muscle movement model to realize the subtle expression change. In order to further verify the effect of the optimization strategy, simulation experiments are carried out in this paper. The experimental results show that the optimized motion capture and expression simulation technology can significantly improve the realism and enjoyment of 3D film animation, and bring higher artistic value and market competitiveness to film production.

关键词： Three-dimensional displays Smoothing methods Tracking Noise Production Animation Solids Motion capture Sensors Optimization

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Analysis of Renewable Energy Harvesting Sources with Interaction of Piezoelectric Materials

Analysis of Renewable Energy Harvesting Sources with Interac...

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Computational modelling, simulation and Optimization (ICCMSO), international conference on

作者： Mohit Yadav Surendra Kumar Rajkumar Yadav Dinesh Yadav Ramesh Kumar Garg Ashish Kaushik Akash Ahlawat Deepak Chhabra Department of Applied Sciences Mathematics UIET Maharshi Dayanand University Rohtak India Department of Applied Sciences Mathematics University Institute of Engineering and Technology M.D. University Rohtak India Department of Computer Science & Engineering University Institute of Engineering and Technology M.D. University Rohtak India Department of Mechanical Engineering Deenbandhu Chhotu Ram University of Science and Technology Sonipat India Department of Mechanical Engineering UIET Maharshi Dayanand University Rohtak India

The results of enormous climate change and other industrial carbon emissions have been driven by the rise of nonrenewable traditional energy sources. The scientific community is looking at unconventional renewable techniques that can harvest energy in the external atmosphere. This research article provides a critical analysis of the growth in the field of piezoelectric energy harvesting. Recent advances in bio-inspired piezo-smart equipment are critically analyzed. A comprehensive overview of harvesting power from mechanical vibrations and its renewable sources, such as human body movements, flowing fluid, and circuitry arrangements of structures with piezoelectric materials have been discussed. Capturing and converting mechanical energy into useful electric power is the easiest and most prevalent way to harness the massive amounts of ambient energy around us. With the help of piezoelectric materials, vibrations induced by mechanical sources can convert into electrical energy. Various industries, including transportation, construction, aeronautical, smart systems, micro-fluids, biomedical devices, and implantable electronics, employ piezoelectric energy generating at the micro level. Piezoelectric energy generating technique’s applications along with their achievements, and future possibilities are critically analyzed. This overview concisely presents the extensive range of piezoelectric materials for wireless electronic devices that use eco-friendly, renewable, and sustainable energy harvesting sources.

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simulation design of signal noise reduction algorithm based on neural network 2

Simulation design of signal noise reduction algorithm based ...

引用

2021 2nd international conference on Machine Learning and computer Application, ICMLCA 2021

作者： Zhou, Linhao Hao, Yongping Yang, Jin Xu, Jiulong Equipment Engineering College Shenyang Ligong University Shenyang China Mechanical Engineering College Shenyang Ligong University Shenyang China

ISBN: (纸本)9783800757398

In order to de-noise the noise signal generated by radar and other military equipment and recover the original signal, two simulation models, Bp neural network and Elman neural network, were established by using MATLAB simulation software to de-noise the signal. Some parameters of neural network in signal denoising process are changed to observe the influence of these parameters on neural network. Through the final simulation analysis, it is found that Elman neural network has better effect than Bp neural network, which is more suitable for noise processing and data prediction of radar and other military equipment, while Bp neural network is more suitable for solving problems with complex internal mechanism. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Elman neural networks

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Short-Term Power Load Forecasting Based on Feature Selection and Improved Gaussian process Regression

Short-Term Power Load Forecasting Based on Feature Selection...

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Sensors, Electronics and computer Engineering (ICSECE), IEEE international conference on

作者： Shouzhi Yue Guangzhou Power Supply Bureau of Guangdong Power Grid Co. Ltd Guangzhou China

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

In order to overcome the influence of many factors on electricity load and to adapt to the complex power system environment of today, this paper proposes a short-term forecast of electricity load based on feature selection and improved Gaussian process regression. First, the original feature data and load data were input into the Max-Relevance and Min-Redundancy algorithm for feature selection to obtain the feature set with the greatest correlation with the load and the least redundancy among the features; then the GPR model optimized by the GWO algorithm was trained with this feature set, and the trained prediction model was obtained by iteratively updating the parameters. Finally, the effectiveness and accuracy of this method were verified through actual case simulation, and the evaluation indexes of other models were compared to verify that the feature selection and hyperparameter search part of this method is beneficial to improve the prediction accuracy.

关键词： Accuracy Load forecasting Electricity Termination of employment Gaussian processes Predictive models Feature extraction Prediction algorithms Data models Load modeling

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Attacker Hunting in the Intranet Using Multi-Agent Reinforcement Learning

Attacker Hunting in the Intranet Using Multi-Agent Reinforce...

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Control, Electronics and computer Technology (ICCECT), IEEE international conference on

作者： Guanhua Kong Guozhen Cheng Xiaohan Yang Institute of Information Technology Information Engineering University Zhengzhou China

ISBN: (数字)9798350380958

ISBN: (纸本)9798350380965

For attacker's intranet lateral movement stage of the cyber kill chain, current cyber defense strategies face the problems of lacking dynamism, being unable to make realtime decisions, and failure to take into account the dynamic changes of attacker's strategies. In order to solve the above problems, this paper proposes a new gridworld model to describe the lateral movement scenario. The multi-agent stochastic game is used to model attack and defense process, and the Nash Q-learning algorithm is used to solve the optimal cyber defense strategy. Through multiple simulation experiments, it turns out that the proposed model has good convergence, and the average defense success rate of the defender is more than 70%, which verifies the effectiveness of the model.

关键词： Q-learning Computational modeling Heuristic algorithms Stochastic processes process control Games Faces

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Research on Sports Video Image Teaching System Based on computer 3D Technology

Research on Sports Video Image Teaching System Based on Comp...

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Electrical Engineering, Big Data and Algorithms (EEBDA), IEEE international conference on

作者： Weiqiang Zhang Student Office of Lanzhou Resource & Environment Voc-Tech University Lanzhou China

The use of 3D technology to simulate the movement of objects, so that objects in the real environment changes. The system consists of three modules: three-dimensional simulation database, virtual simulation model of motion capture and motion technology simulation. The motion process of the backspin ball, the front spin ball and the non-spin ball is simulated numerically, and the motion law of the ball's drop point and drop point is obtained. According to different situations of players, the appropriate shooting posture is proposed. At the same time, the system uses video technology to make students familiar with NBA players, basketball tactical points, audio and other materials into a tactical demonstration of animation. The paper can effectively improve the teaching effect of basketball skill and attack training and achieve the purpose of training. The results show that the method proposed in this paper can solve the problem of turning in basketball well.

关键词： Training Solid modeling Three-dimensional displays TV Watches Animation Turning

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Analysis of integer-N phase-locked-loop architecture

Analysis of integer-N phase-locked-loop architecture

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2nd international conference on Mechatronic Automation and Electrical Engineering (ICMAEE 2024)

作者： Ziyu Chenguo Zichen Ou Xinyu Tao Faculty of Natural Mathematical & Engineering Sciences King's College London London WC2R 2LS UK Samueli School of Engineering University of California Irvine CA 92697 USA School of Electrical Engineering and Computer Science University of Ottawa Ottawa K1N 6N5 Canada

ISBN: (数字)9781837242672

Phase-Locked Loops have a wide range of applications as frequency synthesizers. An analysis of Integer-N Phase-Locked-Loop (PLL) is presented in this article. The performance of a phase-locked loop is determined by a number of factors. It is shown whether good locking time performance can be provided by changing the loop bandwidth of the PLL system. The loop filter can be designed to accelerate the lock time because it controls the poles and zeros of the system. The PLL system is a typical Charge-Pump PLL which uses a Ring Voltage-Controlled Oscillator (Ring-VCO) to optimize the area as much as possible and to reduce power consumption. The phase noise of the Ring-VCO at 1MHz is -96.14dBc and the system can deliver a stable output frequency of 1.6GHz with a 100MHz reference clock. The Multi-Modulus Divider (MMD) used can provide divider ratios from 16 to 31. simulation is done by TSMC 40nm process.

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Task Offload Optimization Management of Networked Vehicles in Edge Computing Environment 2

Task Offload Optimization Management of Networked Vehicles i...

引用

2nd international Signal processing, Communications and Engineering Management conference, ISPCEM 2022

作者： Xue, Duan College of Computer Science Liupanshui Normal University Liupanshui553000 China

ISBN: (纸本)9781665492713

With the continuous development of 5G technology and intelligent technology, intelligent networked vehicles can rely on vehicle-road collaboration technology to form a more specific understanding of traffic situations through edge caching and edge computing services of roadside infrastructure to ensure driving safety. Improve traffic efficiency. The main purpose of this paper is to study the task offloading optimization management of connected vehicles based on edge computing. While constructing the model for offloading computing tasks, this paper uses python programming simulation to implement. Python language has a powerful standard library, and it also provides a large number of application modules, which users can directly call according to their own needs. application. Python language can be mature and widely used in website data crawling, data operation, image system, and Web system development. In this paper, a computing offloading process is divided into two parts, namely code migration and data offloading. The code only contains the general computing code file of the task (that is, the OpenCL kernel program file) and the AI computing code file (that is, the TensorFlow model file).) and a task configuration script file with the input data to be processed by the task. Moreover, the runtime environment of application tasks is pre-arranged on each device, regardless of online deployment or offloading, which greatly reduces the amount of transmitted data. © 2022 IEEE.

关键词： Edge computing

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Direction Finding for Mixed Independent and Correlated Signals In Impulse Noise 2

Direction Finding for Mixed Independent and Correlated Signa...

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2nd international conference on Digital Signal and computer Communications, DSCC 2022

作者： An, Chunlian Li, Jie Chen, Liang Deng, Shaojiang School of Electronic Information and Electrical Engineering Chongqing University of Arts and Sciences Chongqing China Chongqing Jinmei Communication Co. Ltd. Chongqing China College of Computer Science Chongqing University Chongqing China

ISBN: (纸本)9781510656734

In order to improve the estimation performance of the mixed uncorrelated and coherent signals at strong impulsive noise, a novel direction of arrival (DOA) estimation method for mixed independent and correlated signals is introduced. By applying the median value filtering method to the array received data, the amplitude of the impulsive part of data is normalized to a relatively small level. Since the preprocessing process cut out the strong impulsive part of noise effectively, the common secondary statistic DOA estimation algorithm can be adopted, and the DOAs of the independent and correlated signals can be estimated, respectively. Theoretical analysis and simulation results verify the effectiveness of the proposed method under strong impulsive noise as well as the excellent DOA estimation performance. © 2022 SPIE.

关键词： Impulse noise

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The Need for Interactive Data-Driven process simulation in Healthcare: A Case Study

The Need for Interactive Data-Driven Process Simulation in H...

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2nd international conference on process Mining (ICPM)

作者： van Hulzen, Gerhardus Martin, Niels Depaire, Benoit Hasselt Univ Res Grp Business Informat B-3500 Hasselt Belgium Res Fdn Flanders FWO B-1000 Brussels Belgium Vrije Univ Brussel Data Analyt Lab B-1050 Brussels Belgium

ISBN: (纸本)9783030726928;9783030726935

In healthcare, more and more process execution information is stored in Hospital Information Systems. This data, in conjunction with data-driven process simulation, can be used, e.g. to support hospital management with Capacity Management decisions. However, real-life event logs in healthcare often suffer from data quality issues, affecting the reliability of simulation results. In this work, we illustrate the effects of disregarding data quality issues on simulation outcomes and the importance of domain knowledge using a case study at the radiology department of a hospital. Current literature on data-driven process simulation acknowledges the need for domain expertise but does not provide a framework for conceptualising the involvement of domain experts. Therefore, we propose a novel conceptual framework which interactively involves experts during data-driven simulation model development.

关键词： Data-driven process simulation Data quality Domain knowledge Interactive modelling Healthcare processes

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