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检索条件"任意字段=2nd International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2022"

共 201 条记录，以下是31-40 订阅

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A Real Time Retrieval Method of Massive Arrears User Profile data Based on HBase

A Real Time Retrieval Method of Massive Arrears User Profile...

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Jiawei Wei Xingque Xu Zhongshan Power Supply Bureau of Guangdong Power Grid Co. Ltd Zhongshan Guangdong China

Due to the large amount, fast speed and incompatibility of the massive arrears users' file data, it has brought some impact on their retrieval work. In order to improve the accuracy and efficiency of massive arrears user archive data retrieval, a real-time retrieval method for massive arrears user archive data based on HBase is proposed. Based on the Hadoop architecture, the massive arrears user profile data is collected, the massive arrears user profile data is linearly converted, the dimensions are reduced, and the massive arrears user profile data is preprocessed. On this basis, HBase storage model and HBase two-level fast index are established to realize real-time retrieval of massive arrears user file data based on HBase. The experimental results show that the retrieval accuracy of the proposed method is 97.6%, and the retrieval time is only 6.8 ms, which can effectively improve the retrieval accuracy and efficiency of the massive arrears user file data.

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Research on UAV Location Based on Wolf Pack Optimization Algorithm analysis

Research on UAV Location Based on Wolf Pack Optimization Alg...

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Peng Xu Gang Huang Pengming Peng School of information science and engineering Chongqing Jiaotong university Chongqing China

In the actual bearings-only passive UAV positioning system, the UAV without standard position can't perform three-point positioning by geometric algorithm. This paper introduces how to locate the UAV when it is in an abnormal position and adjust it to the standard position. Firstly, the error distance between the original position and its accurate position is taken as the target, and a fitting optimization model is established. Finally, based on the hybrid genetic wolf pack optimization algorithm, the point with smaller error distance is taken as the wolf king of the population, and the wolf king with weak capture ability is eliminated by continuous genetic iteration. When the optimal distance is captured, the distance of the UAV is regarded as the standard distance.

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Household Demand analysis of New Energy Battery in Household Solar Power Generation System

Household Demand Analysis of New Energy Battery in Household...

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Huayue Sun Saint Viator High School 1213 East Oakton Street Arlington Heights IL America

Solar energy refers to the conversion of the energy of sunlight into electrical energy, which can provide electricity for household appliances. However, solar energy cannot be used directly on cloudy days or at night. The purpose of this paper is to design a new energy battery pack purchase plan for the household solar power generation system for a family to save solar energy for use at night and on a cloudy day. We first estimate the electricity consumed by this house in one night and on a cloudy day based on indicators such as the power rating and working hours. Then the price of the energy storage system is taken as the main consideration to establish an integer linear programming model. Based on the results of this model, we give the best selections for different types of batteries. In addition, we adjust and generalize the established integer linear programming model so that it is adaptable to different needs and preferences to choose the best battery storage. The battery capacity preference, the continuous power supply preference, and the instantaneous power preference are studied, respectively.

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analysis of Vortex Cavitation and Throttling Characteristics in Unsteady Large Eddy simulation

Analysis of Vortex Cavitation and Throttling Characteristics...

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Cangmei Xing Jibing Lu Mengling Shen Caizhang Wen Lianfu Zhai Zeyu Wu Science and Technology on Green Construction Laboratory China Nuclear Indutry23 Construction Co. LTD Beijing China

In this paper, the vortex cavitation and throttling characteristics of the tunable cavitation throttling device are analyzed by combining the Schnerr-Sauer and Zwart-Gerbe-Belamri cavitation models for large eddy simulation under unsteady conditions. The results show that reducing the closed cone area formed by the valve core and the flow channel can help improve the cavitation flow velocity in the diffuse section. Increasing the spool engagement cone angle helps to improve the flow coefficient as the spool moves closer to the initial position; The change of outlet pressure cannot essentially change the process of cavitation;The cavitation index shows a logarithmic curve relationship with the decrease of throat diameter; The flow coefficient showed a negative correlation with the increase of throat diameter. By comparison, Schnerr-Sauer model is more sensitive to cavitation.

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Application of Cloud Computing in Information Management System in the Era of Big data

Application of Cloud Computing in Information Management Sys...

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Xianghui Miao Dalian Vocational Technical College (Dalian Open University) Dalian Liaoning China

Cloud computing can provide long-term maintenance technology for enterprise management planning, and improve the operational efficiency of enterprises without increasing energy consumption. Therefore, this paper studies how to improve the information management efficiency of small and medium-sized enterprises by introducing cloud computing technology to build software application system. Cloud computing enterprise management system of big data adopts Saas mode of cloud computing, cloud server is created by Alibaba Cloud, and virtual cluster is created by hadoop to realize distributed storage and calculation of enterprise information data. The application design adopts J2EE technology, java language and SSH framework to establish the system. In this paper, a storage resource pool is built in the virtual cluster, and then different servers are used as storage shared resource pools of different resources. Cloud platform can control and manage all virtual machines.

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Environmental Optimization analysis of Outdoor Flow Field of a Campus Building in Changzhi City, Shanxi Province via CFD simulation

Environmental Optimization Analysis of Outdoor Flow Field of...

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computational modeling, simulation and data analysis (cmsda), international conference on

作者： Zekun Wang Building environment and energy application engineering Taiyuan University of Technology Taiyuan shanxi Province

Energy is becoming a growing concern in the twenty-first century, and energy saving in buildings is a very important development direction, and CFD simulation can greatly understand the flow field distribution around the building to achieve the goal of building energy savings. The outdoor flow field environment of a campus building in Changzhi City, Shanxi Province, is used as an example for optimization analysis in this paper. The design first employs fluid calculation software to simulate the building's external flow field with CFD, then adjusts the orientation and layout of the building based on the simulation results, and adds more structures to ensure that the building can maximize the use of natural ventilation to reduce indoor load in summer and have a small amount of cold air infiltration in winter. According to the results of the paper, the CFD simulation demonstrates that the solution can make better use of natural ventilation to reduce the summer load, and that for the winter load, the cold wind infiltration velocity of the entire teaching building and some major places of the complex building will decrease, but will increase the load of other buildings, such as the art and sports building.

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Research on simulation analysis method of RAIKO P15 ice-roller tool vibration crushing compacted ice-snow

Research on simulation analysis method of RAIKO P15 ice-roll...

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Li Jia Yang Tao Wu Siqi Li Bin Northeastern University Shenyang Liaoning China Dalian University of Technology Dalian Liaoning China

The ground-excited ice-roller has been able to effectively solve the problem of ice-snow on the roads, but its ice breaking mechanism, operating parameters and efficiency still need to be studied and improved. This paper, taking effect of RAIKO P15 ground-excited ice-roller tool vibration crushing ice-snow as the research content, established a finite element model of tool and compacted ice-snow by using ANSYS/LS-DYNA, realized the simulation analysis of the process of ice-roller tool crushing compacted ice-snow, obtained the crushing effect of 10mm thick compacted ice-snow and the stress distribution of tool under different vibration frequencies, and determined that the optimized vibration frequency of ice-roller is 25 kHz. The simulation method and analysis result in this paper provide the method and basis for the design and manufacture of ice-snow removal equipment tool.

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Emotional Recognition Based on Convolutional Neural Network

Emotional Recognition Based on Convolutional Neural Network

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Yuan Teng Zhuohao Xu Delang Chen Zixuan Xu College of Mechanical and Electrical Engineering Central South University Changsha China ZJUI Zhejiang University Haining China Shenzhen College of international Education Shenzhen China

Recently, emotional recognition based on machine learning algorithm has gained greater attention. Considering python has an excellent open-source model PyEEG which is especially made for dealing with EEG signal, and rich machine learning models, so we choose python as our tool. In this paper we have applied the analysis on DEAP: a database using physiological signal aiming for emotion analysis, which records arousal, valence, like/dislike levels, dominance and familiarity of 32 participants after watching 40 fragments of music videos. We use fast Fourier transform (FFT), “frequency ratio” and permutation entropy method to extract features from the dataset and divide the training set (80%) and the test set (20%), then build a three-dimensional convolution model(3D-CNN) to train them. Finally, we have achieved high precision (99.73%).

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data Storage and Sharing Scheme Based on Hyperledger Fabric

Data Storage and Sharing Scheme Based on Hyperledger Fabric

引用

computational modeling, simulation and data analysis (cmsda), international conference on

作者： Jintao Zhang Bin Song Yong Zhou Yi Pan School of Computer Information Engineering Jiangxi Normal University Jiangxi China School of Transportation and Logistics Engineering Wuhan University of Technology Hubei China

As academic research becomes more and more international, close cooperation between different research institutions has become a key factor in promoting the development of science and technology. Research teams and institutions in different countries urgently need an effective and secure online platform for collaboration and data sharing. To solve the above problems, this paper proposes a scientific research data storage and sharing scheme based on Hyperledger Fabric, which combines blockchain technology with interplanetary file system and effectively relieves the storage pressure of blockchain network. The multi-channel architecture is designed to protect scientific research data based on physical isolation of different channel ledger data. In addition, through proxy re-encryption, a fine-grained permission control scheme for user data is designed and implemented. The data receiver can decrypt the ciphertext without obtaining the key of the sender. In this way, the private key and plaintext of the sender are not leaked during data sharing, which improves data privacy and achieves data sharing. Finally, Docker technology was used to build a test environment, and the system was tested for function and performance, which verified the feasibility of the scheme system.

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Applicability analysis of GPM satellite precipitation dataset in Nandu River basin

Applicability analysis of GPM satellite precipitation datase...

引用

2021 international conference on computational modeling, simulation, and data analysis, cmsda 2021

作者： Nan, Linjiang Yang, Mingxiang Liu, Ke Dong, Ningpeng Guangxi University School of Civil Engineering and Architecture Nanning Guangxi530004 China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China China Institute of Water Resources and Hydropower Research Beijing100038 China Hydrology Bureau of the Yellow River Conservancy Commission Zhengzhou450004 China

ISBN: (纸本)9781510651968

In order to compare and analyze the accuracy and applicability of Global Precipitation Measurement Mission (IMERG) satellite precipitation products in Nandu River Basin, the daily precipitation data of 51 ground observation stations in Nandu River Basin from 2014 to 2018 is collected in this paper, and the evaluation index such as Pearson correlation coefficient (CC), root mean square error (RMSE), relative bias (BIAS) and mean absolute error (MAE) are chosen to evaluate the accuracy and applicability of GPM IMERG satellite precipitation products, including Early Run, Late Run and Final Run, on daily and monthly scales. The results show that: (1) the correlation coefficient between the three types of GPM precipitation products and ground station observation dataset is significantly improved on the monthly scale compared with the daily scale. (2) It can be seen that the accuracy of the three types of GPM products is related to the number of data revisions. With the increase of the number of revisions, the accuracy of data continues to rise. In general, GPM precipitation products have high accuracy and applicability in Nandu River Basin. The results of this paper are expected to provide some support for the application of GPM IMERG satellite precipitation dataset in hydrological research and water resources management in Nandu River Basin, and have a certain reference value for the relevant research in other basins. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Correlation methods

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