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检索条件"任意字段=International Conference on Computer Modeling and Simulation"

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TEFISTA-NET: GTD Parameter Estimation of Low-Frequency Ultra- Wideband Radar via Model-Based Deep Learning

TEFISTA-NET: GTD Parameter Estimation of Low-Frequency Ultra...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Rui Li Xueqian Wang Gang Li Xiao-Ping Zhang Department of Electronic Engineering Tsinghua University Tsinghua-Berkeley Shenzhen Institute Tsinghua University Department of Electrical Computer & Biomedical Engineering Toronto Metropolitan University

The geometrical theory of diffraction (GTD) has been widely investigated to describe the target scattering behaviors with the low-frequency ultra-wideband (LFW) radar. In this paper, we propose a new model-based deep learning method for GTD parameter estimation. The proposed method is designed by unfolding the fast iterative shrinkage thresholding algorithm (FISTA) into a deep neural network. Unlike existing methods based on compressed sensing (CS), the key parameters in our algorithm are fully learnable, avoiding nontrivial parameter tuning procedures. Our network with simple convolution operations is more computationally efficient than existing methods, which require matrix inversions or quadratic programming and have low convergence speed. A novel loss function is designed for the new network to improve the capacity of target enhancement. Experiments on simulation data show that the new method achieves higher computational efficiency while maintaining or improving the precision of GTD parameter estimation compared with existing methods.

关键词： Deep learning Parameter estimation Computational modeling Signal processing algorithms Radar Computational efficiency Speech processing

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Complex Vector modeling and Control of Interior Permanent Magnet Synchronous Machines

Complex Vector Modeling and Control of Interior Permanent Ma...

引用

IEEE international conference on Electric Machines and Drives (IEMDC)

作者： Samira Tungare Shivang Agrawal Debranjan Mukherjee Arijit Banerjee Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana USA

In applications where the ratio of switching frequency to fundamental frequency is low, time delays in the system lead to poor current regulation and cross-coupling between the d and q axes. The phase lag introduced by the PWM and sampling delays lead to poor transient characteristics and can even cause system system instability. This paper proposes a complex vector model of an interior permanent magnet synchronous machine (IPMSM) that requires only a single complex current controller and allows complex current controller design methods applied to non-salient pole machines to be easily adapted for salient pole machines. simulation results using an IPMSM and experimental results using a 3-ϕ balanced RL load show that using the complex current controller reduces cross coupling in comparison to the conventional scalar approach at lower switching frequencies. With a sudden load torque change leading to a sudden change in i q , the reduced deviation in i d from its reference can help prevent the temporary demagnetization. Also, with a sudden change in i d in the Maximum Torque per Ampere (MTPA) or Field-weakening (FW) mode, the reduced deviation in i q from its reference can help avoid transient spike in electromagnetic torque.

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A quasi-Newton trust-region method for optimization under uncertainty using stochastic simplex approximate gradients

A quasi-Newton trust-region method for optimization under un...

引用

European conference on the Mathematics of Geological Reservoirs 2022, ECMOR 2022

作者： Eltahan, E. Alpak, F.O. Sepehrnoori, K. University of Texas at Austin United States Shell International Exploration and Production Inc United States

ISBN: (纸本)9789462824263

The goal of field-development optimization is maximizing the expected value of an objective function, e.g., net present value for a producing oil field or amount of CO2 stored in a subsurface formation, over an ensemble of models that describe the uncertainty range. A single evaluation of the objective function requires solving a system of partial differential equations, which can be computationally costly. Hence, it is most desirable for an optimization algorithm to reduce the number of objective-function evaluations while delivering high convergence rate. Here, we develop a quasi-Newton method that builds on approximate evaluations of objective-function gradients and takes more effective iterative steps using a trust-region approach compared to line search. We implement three gradient formulations: ensemble optimization (EnOpt) gradient, and two variants of the stochastic simplex approximate gradient (StoSAG), all computed using perturbations around the point of interest. We modify the formulations to enable exploiting the objective-function structure. Instead of returning a single value for the gradient, the reformulation breaks up the objective function into its sub-components and returns a set of sub-gradients. We then can utilize our prior problem-specific knowledge through passing a ‘weight’ matrix to act on the sub-gradients. Two quasi-Newton updating algorithms are implemented: Broyden–Fletcher–Goldfarb–Shanno and the symmetric rank 1. We first evaluate the variants of our method on test challenging functions (e.g., stochastic variants of Rosenbrock and Chebyquad). Then, we present an application of well-control optimization for a realistic synthetic case. Our results confirm that StoSAG gradients are significantly more effective than EnOpt gradients for accelerating convergence. An important challenge to stochastic gradients is determining a-priori the adequate number of perturbations. We report that the optimal number of perturbations depends on both the

关键词： Function evaluation

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Data Acquisition and Analysis for Improving the Utility of Low Cost Soil Moisture Sensors

Data Acquisition and Analysis for Improving the Utility of L...

引用

international conference on Smart Computing (SMARTCOMP)

作者： Gautam Mundewadi Rich Wolski Chandra Krintz Department of Computer Science University of California Santa Barbara Santa Barbara United States

To cultivate healthy plants and high crop yields, growers must be able to measure soil moisture and irrigate accordingly. Errors in soil moisture measurements can lead to irrigation mismanagement with costly consequences. In this paper, we present a new approach to smart computing for irrigation management to address these challenges at a lower cost. We calibrate low cost, low precision soil moisture sensors to more accurately distinguish wet from dry soils using high cost, high precision Davis Instrument sensors. We investigate different modeling techniques including the natural log of the odds ratio (Log-odds), Monte Carlo simulation, and linear regression to distinguish between wet and moist soils and to establish a trustworthy threshold between these two moisture states. We have also developed a new smartphone application that simplifies the process of data collection and implements our analysis approach. The application is extensible by others and provides growers with low cost, data-driven decision support for irrigation. We implement our approach for UCSB’s Edible Campus student farm and empirically evaluate it using multiple test beds. Our results show an accuracy rate of 91% and lowers costs by 4x per deployment, making it useful for gardeners and farmers alike.

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Research on computer simulation Big Data Intelligent Collection and Analysis System 7

Research on Computer Simulation Big Data Intelligent Collect...

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2020 7th international conference on computer-Aided Design, Manufacturing, modeling and simulation, CDMMS 2020

作者： Liu, Hongying Department of Computer Science and Engineering Guangzhou College of Technology and Business Guangzhou510850 China

As a characteristic of big data, the individual data in it is no longer isolated, and the data and its underlying mechanisms have complex associations, which make all data into an indivisible whole. The dynamic generation and disappearance of data will change its original relationship and affect the overall characteristics of the data. This feature of big data makes the subject-oriented analysis methods such as data mining present limitations: the presupposition of the subject and the analysis by subject split the interaction relationship between the subjects, leading to the loss of the implicit mechanism in these relationships. Aiming at the problems of traditional network big data multi-resolution acquisition methods such as high acquisition cost, long completion time and low acquisition accuracy, a JA-va3D-based big data network multi-resolution acquisition method is proposed, and average interactive data is introduced. The extraction method estimates the power spectral density of the network data multi-resolution acquisition, and uses the ADASYN algorithm to remove the invalid multi-resolution data, and realizes the large data multi-resolution accurate acquisition. Experimental results show that the proposed method has lower acquisition cost, shorter completion time, and higher acquisition accuracy;it has certain practical value and can be widely used in various fields. © Published under licence by IOP Publishing Ltd.

关键词： Big data

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Replicating the MAP Kinase Cascade in Membrane Computing 2

Replicating the MAP Kinase Cascade in Membrane Computing

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2nd international conference on Physics and Applied Sciences, ICPAS 2021

作者： Mohan, Bareq Shaalan Mahmood, Ali A. Mohammed, Mohammed Q. Zaki, Nashwan Dheyaa School of Computer Science Faculty of Information Science and Technology University Kebangsaan Malaysia Bangi Selangor43600 Malaysia University of Information Technology and Communications Baghdad Iraq Al-Esraa University College Baghdad Iraq

Membrane Computing (MC) is defined as one of the main areas in computer sciences;MC has the aim of discovering novel computational models from studying biological cells, specifically the cellular membranes. Mitogen-Activated Protein Kinases (MAPK) cascade was the subject of research in the areas of modeling and simulation. Various software tools such as Performance Evaluation Process Algebra (PEPA) have been used to solve the MAPK cascade for the purpose of improving the effectiveness of signaling. In this study, the MAPK cascade is modeled by using MC. The models of Membrane Computing could be totally fully utilized by applying parallel computing platforms. P-Lingua can be defined as a programming language for MeCoSim and MC, where MC simulators are used to model and simulate MAPK. P-Lingua will be applied to structure, develop and examine the implementation of MAPK cascades in membrane computing. MeCoSim supports charts, outputs, and inputs which have been adapted to MC. The simulation results have been put to comparison with PEPA model. The results indicate that MC improves the MAPK implementation compared to PEPA. This study showed that MC, with its biological characteristics, could improve the implementation regarding biological processes including MAPK. © Published under licence by IOP Publishing Ltd.

关键词： computer aided software engineering

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Space simulation and Environment Construction of Urban Public Facilities Based on VR Technology 2

Space Simulation and Environment Construction of Urban Publi...

引用

2nd international conference on computers, Information Processing and Advanced Education, CIPAE 2021

作者： Li, Jingjing Gan, Xiang Li, Mengjuan Zhang, Ke School of Art and Design Chuzhou University Anhui China

ISBN: (纸本)9781665426657

Virtual reality technology can provide the public with an immersive sense of participation, promote the public's cognition and evaluation of urban design, and has application value in the field of public participation in urban design. However, there are still some problems in the application of VR in public participation in urban design, such as the weak theoretical basis, which limits its application and promotion. The purpose of this study is to supplement the research on the theoretical basis and application methods of VR application in the field of public participation in urban design, try to build a method with theoretical basis, which can meet the two-way balance of public participation, and guide the effective application of VR in the field of public participation in urban design. VR can support the public to recognize the meso and micro scale content of urban design, and has the advantages of cognition, evaluation and mobilization of participation enthusiasm. This paper summarizes the rules of VR application in public participation in urban design, and verifies some application rules through public participation experiments. © 2021 IEEE.

关键词： computers Solid modeling Education Decision making Virtual reality Information processing computer architecture

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Integrating 4D simulations and Virtual Reality Environments: An Innovative Prototype 1

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18th international conference on Cooperative Design, Visualization, and Engineering (CDVE)

作者： Mezrag, Yacine Boton, Conrad Ecole Technol Super LaRTIC Res Lab Informat Technol Construct 1100 Rue Notre Dame Ouest Montreal PQ Canada

ISBN: (数字)9783030882075

ISBN: (纸本)9783030882075;9783030882068

4D simulation based on immersive Virtual Reality-based collaboration can be a great help in constructability studies and in detecting spatiotemporal interference. Recent publications propose some methods and frameworks to support collaboration centered on 4D BIM models in Virtual Reality (VR) environments. However, the existing VR systems and platforms remains poorly suited to the task of integrating the data libraries generally conveyed by 4D models. In the context of the multiplication of platforms and the increased need for interoperability, it will be essential to develop interoperable solutions, based on OpenBIM formats. However, to date, there is no framework based on open interoperable formats to guide experts and users through the steps necessary for effective VR-based 4D simulation. This work proposes a new method to improve the integration of 4D simulations in virtual reality environments. The method is centered on the use of OpenBIM standards, uses a normalized and structured workflow on three main phases that correspond to different work environments, and considers a two-way data exchange mechanism. In order to evaluate and validate the proposed method, a prototype was developed, adopting the same workflow and using a suitable software ecosystem.

关键词： 4D simulation Virtual reality Constructability Building information modeling Common data environment

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A Colored Petri Net Tool for the Design of Robotic Palletizing Cells

A Colored Petri Net Tool for the Design of Robotic Palletizi...

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international conference on Control, Decision and Information Technologies (CoDIT)

作者： Graziana Cavone Silvia Stella Paolo Scarabaggio Raffaele Carli Stefano Lisi Achille Claudio Garavelli Mariagrazia Dotoli Department of Civil Computer Science and Aeronautical Technologies Engineering University Roma Tre Italy Department of Mechanics Mathematics and Management Polytechnic of Bari Italy Department of Electrical and Information Engineering Polytechnic of Bari Italy

Driven by the digital transformation required by Logistics 4.0, the use of automation in warehouses is constantly growing. In particular, robotic palletizers offer significant potential for optimizing warehouse operations, thanks to higher flexibility and throughput than traditional palletizing systems. Despite the availability of several solutions in the market, the optimal deployment of a robotic palletizer in warehouses is not straightforward: a design phase is needed to determine the most convenient configuration that ensures automatic palletizing is fully integrated into the warehouse processes. In this paper, we propose a simulation-based versatile tool for modeling and analysis purposes, aimed at supporting the design of a robotic palletizing cell in a bottom-up fashion. As a core methodology, we employ timed colored Petri nets, which allow - once the analysis on packing requirements and constraints is conducted - to rapidly model the system as a composition of basic subsystems, and implement alternative simulations to evaluate the corresponding performance and effectively benchmark the alternative configurations. The proposed approach is applied to a real case study, showing its effectiveness in identifying the solution that achieves a good compromise between the use of resources and the performance of warehouse operations.

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A Smart Framework for Enhancing the IoT Network Lifespan

A Smart Framework for Enhancing the IoT Network Lifespan

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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), international conference on

作者： Meenakshi Shruti Pal Manik Rakhra Department of Computer Science and Engineering Lovely Professional University Phagwara Punjab India

The Internet of Things (IoT) has quickly emerged as one of the most well-known and, actually, most hyped terms in the technology sector. The increased usage of IoT has led to a significant development of IoT-enabling technologies. It is necessary to route and process data quickly by utilizing the energy of IoT devices because it is predicted that a significant volume of data might be produced by trillions of connected sensor nodes. Around the world, the idea of smart cities is becoming more popular and without a smart waste management system, a smart city cannot be complete. Sensors node-enabled in the smart bins have energy constraints and they are typically not rechargeable, which is one of the core issues for the lifespan of the IoT devices. This research proposes an adaptive sleep and wake-up strategy (AdSW) to maximize the lifetime of IoT networks by utilizing routing energy. The suggested method, which is based on the sleep and wake-up technique, allows every node to independently choose its mode of operation - sleep, listen, or transmission-in each available time slot. simulation findings show that the suggested strategy performs well for Lifespan maximization by consuming less energy under different conditions.

关键词： Waste management Adaptation models Adaptive systems Smart cities Computational modeling Routing Internet of Things

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