检索结果-内蒙古大学图书馆

A probability model for predicting the bubble size distribution in fully developed bubble flow in vertical pipes

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 2021年 120卷 105015-105015页

作者： Liu, Haixiao Tian, Tao Kang, Rong Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China Taiyuan Water Author Bur Shanxi Prov Taiyuan 030002 Peoples R China China Three Gorges Corp Inst Sci & Technol Beijing 100038 Peoples R China

Bubble flow has good characteristics of mass and heat transfer, and is widely used in industrial practice. In bubble flow, the gas phase is mixed with the liquid phase in the form of bubbles. The gas-liquid two-phase structure of bubble flow is investigated by analyzing the motion and force states of bubbles. The most crucial bubble behaviors include the bubble collision and breakup, which continuously occur in the movement process of bubble flow. The bubble collision is usually brought by the fluid turbulence, buoyancy and laminar shear stress. The coalescence efficiency of bubble collisions is analyzed to describe the bubble coalescence behavior. A novel theory of bubble breakup is established according to the probability field analyses of turbulent eddies. Then, the generation and elimination rates of an entire bubble group can be obtained by calculating the collision and breakup probabilities of a single bubble. Combing with the investigations on the random motion rules of a single bubble and an entire bubble group, a theoretical model is first developed to predict the overall bubble size distribution in fully developed bubble flow. The predictions from the probability model generally agree with the experimental data of the bubble size distribution, validating the applicability and easier usage of the theoretical model.

关键词： probability model Bubble flow Bubble collision Bubble breakup Bubble size distribution

来源：评论

学校读者我要写书评

暂无评论

A probability model for Fully Developed Annular Flow in Vertical Pipes: Film Thickness, Interfacial Shear Stress, and Droplet Size Distribution

引用

JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME 2017年第3期139卷 032001-032001页

作者： Zhang, Ri Liu, Haixiao Dong, Sheng Liu, Mingyang Ocean Univ China Coll Engn Qingdao 266100 Peoples R China Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China Shanghai Jiao Tong Univ Collaborat Innovat Ctr Adv Ship & Deep Sea Explor Shanghai 200240 Peoples R China

The movement and distribution of each phase in annular flow can be considered as random events at a microscopic level. Hence, a probability analysis is appropriate to estimate the morphological features and mechanical characteristics of annular flow from a macroscopic scale. In the present work, three characteristic parameters including the film thickness, interfacial shear stress, and characteristic droplet size are predicted by a probability model as the statistical results of abundant samples. The film thickness can be directly calculated as one of the solutions to the basic equations of annular flow. The interfacial shear stress is estimated as a combination of the frictional and dragging components. The droplet size distribution is obtained using a method of undetermined coefficients. These characteristic parameters are well verified by comparing with the experimental data available in the literature. It is demonstrated that the probability model can accurately calculate the film thickness and maximum droplet size, but the predictions of the interfacial shear stress and mean droplet size are relatively coarse. Furthermore, the effects on the film thickness and Sauter mean diameter of other parameters are discussed in detail. Finally, some important phenomena observed in experiments are interpreted by the probability model.

关键词： annular flow probability model film thickness interfacial shear stress drop-let size distribution

来源：评论

学校读者我要写书评

暂无评论

A probability model for predicting the slip velocity of large particles in vertical pipes

引用

POWDER TECHNOLOGY 2022年 397卷 117102-117102页

作者： Sun, Deping Liu, Haixiao Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China

The existence of the slip velocity has strong influence on the conveying efficiency in the hydraulic transportation process of mineral nodules. In the present work, a probability model is proposed to predict the slip velocity of large particles in vertical pipes. First, the uniform linear motion of one single particle in a turbulent upward flow is described by energy transfer from vortexes to particles. Second, the interaction is analyzed between a group of particles and turbulent flow. Third, the probabilities of particle-particle collision and particle-vortex col-lision are calculated to obtain the corresponding deceleration and acceleration rates. When the motion of parti-cles remains stable, the deceleration and acceleration processes reach a dynamic equilibrium. Finally, a balance equation is established to solve the slip velocity of large particles. The validation of the present model is then car-ried out by comparing the predicted slip velocity with experimental data and empirical models available in the literature, confirming the superior accuracy of the present model. To acquire further knowledge of the transpor-tation, effects of six parameters of the model are investigated in detail, including the fluid flow rate, the particle diameter, the volume concentration, the pipe diameter, the particle density, and the fluid density (c) 2022 Elsevier B.V. All rights reserved.

关键词： Slip velocity probability model Inter-particle collision Four-way coupled model Large particle Vertical pipe

来源：评论

学校读者我要写书评

暂无评论

RSS-Based Coverage Deployment Method Under probability model in 3D-WSN

引用

IEEE ACCESS 2019年 7卷 183091-183104页

作者： Hao, Zhanjun Qu, Nanjiang Dang, Xiaochao Hou, Jiaojiao Northwest Normal Univ Coll Comp Sci & Engn Lanzhou 730070 Peoples R China Northwest Normal Univ Gansu Prov Internet Things Engn Res Ctr Lanzhou 730070 Peoples R China

Due to the wider application of wireless sensor networks in real life, 3D coverage closer to the actual application environment has become a research hotspot of current sensor networks. To this end, this paper proposes a three-dimensional coverage deployment method based on RSS (Received Signal Strength) under a probabilistic model. According to the path loss of the wireless signal in the propagation process, the distance between the nodes can be roughly calculated, and the maximum distance between the nodes is defined by setting a threshold of the path loss, thereby further ensuring network connectivity and network quality. The probability coverage model is used and the cube-based network coverage is constructed. Based on this, the optimal coverage deployment problem in 3D-WSN is explored. Combining and improving the traditional particle swarm optimization algorithm can converge faster and avoid falling into local optimum. The simulation results show that the proposed method can converge quickly to improve network coverage and effectively reduce network energy consumption. In addition, we built a real experimental environment to verify the network quality by observing the RSSI (Received Signal Strength Indicator) changes. The experimental results verify the effectiveness of the proposed method.

关键词： Three-dimensional coverage probability model RSS network coverage network quality

来源：评论

学校读者我要写书评

暂无评论

Toward Robust Non-Intrusive Load Monitoring via probability model Framed Ensemble Method

引用

SENSORS 2021年第21期21卷 7272-7272页

作者： Liu, Yu Wang, Yan Hong, Yu Shi, Qianyun Gao, Shan Huang, Xueliang Southeast Univ Sch Elect Engn Nanjing 210096 Peoples R China Jiangsu Prov Key Lab Smart Grid Technol & Equipme Nanjing 210018 Peoples R China State Grid Lianyungang Power Supply Co Lianyungang 222000 Peoples R China

As a pivotal technological foundation for smart home implementation, non-intrusive load monitoring is emerging as a widely recognized and popular technology to replace the sensors or sockets networks for the detailed household appliance monitoring. In this paper, a probability model framed ensemble method is proposed for the target of robust appliance monitoring. Firstly, the non-intrusive load disaggregation-oriented ensemble architecture is presented. Then, dictionary learning model is utilized to formulate the individual classifier, while the sparse coding-based approach is capable of providing multiple solutions under greedy mechanism. Furthermore, a fully probabilistic model is established for combined classifier, where the candidate solutions are all labelled with probability scores and evaluated via two-stage decision-making. The proposed method is tested on both low-voltage network simulator platform and field measurement datasets, and the results show that the proposed ensemble method always guarantees an enhancement on the performance of non-intrusive load disaggregation. Besides, the proposed approach shows high flexibility and scalability in classification model selection. Therefore, by initializing the architecture and approach of ensemble method-based NILM, this work plays a pioneer role in using ensemble method to improve the robustness and reliability of non-intrusive appliance monitoring.

关键词： dictionary learning ensemble method non-intrusive load monitoring probability model uncertainty analysis

来源：评论

学校读者我要写书评

暂无评论

Day-Ahead Optimal Dispatch for Active Distribution Network Considering probability model of Controllable Distributed Generation

引用

FRONTIERS IN ENERGY RESEARCH 2022年 9卷

作者： Wang, Jianxi Zhang, Shida Sun, Yonghui Du, Xinye Wu, Pengpeng Mahfoud, Rabea Jamil Hohai Univ Coll Energy & Elect Engn Nanjing Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China Hohai Univ Coll Water Conservancy & Hydropower Engn Nanjing Peoples R China

In this paper, the probabilistic model of the controllable distributed generation in active distribution network is developed and applied to the daily stochastic optimal dispatch. The probabilistic characteristics of photovoltaic power generation system with active control capability are explored, and the relationship between the reference value of active power and its cumulative distribution function and mean value is obtained. The active power probability model of wind power generation system is improved according to the actual wind speed power curve. By fully utilizing the inverter capacity and coordinating active power, the reactive power of distributed generation is actively controlled under the constraint of power factor. Then considering the chance constraints, a daily optimal scheduling model for active distribution network with the goal of minimizing the operating cost of distribution network is developed, and the constraints that can calculate the charge and discharge times of the energy storage system are designed. The chance constrained programming is solved by the heuristic method, and the deterministic optimization steps are solved by the second-order cone programming method, respectively. The probabilistic power flow method based on stochastic response surface method is utilized to test chance constraints. Finally, the modified IEEE33 node distribution system example shows that the obtained models and algorithms are correct and can meet the requirements of safe and economic operation.

关键词： active distribution network day-ahead optimal dispatch probability model controllable distributed generation chance constraint

来源：评论

学校读者我要写书评

暂无评论

Research on the Applications of probability model and Matrix Transformation in Data Analysis and Management under the Environment of Information Time

引用

International Journal of Technology Management 2015年第7期 152-154页

作者： Ying Cao Northeast Petroleum University QinhuangdaoHebei066000 China

In this paper, we research the probability theory and matrix transformation based technique to manage the data for processing and analysis. Clustering analysis research has a long history, over the decades, the importance and the cross characteristics with other research direction to get the affirmation of the people. The probability theory and linear algebra act as the powerful tool for analyzing and mining data. The experimental result illustrates the effectiveness. In the near future, we plan to conduct more theoretical analysis on the topic.

关键词： probability model Matrix Transformation Data Analysis and Management.

来源：评论

学校读者我要写书评

暂无评论

A Localization and Tracking Approach in NLOS Environment Based on Distance and Angle probability model

引用

SENSORS 2019年第20期19卷 4438-4438页

作者： Tian, Xin Wei, Guoliang Wang, Jianhua Zhang, Dianchen Univ Shanghai Sci & Technol Dept Control Sci & Engn Shanghai 200093 Peoples R China Univ Shanghai Sci & Technol Coll Sci Shanghai 200093 Peoples R China

In this paper, an optimization algorithm is presented based on a distance and angle probability model for indoor non-line-of-sight (NLOS) environments. By utilizing the sampling information, a distance and angle probability model is proposed so as to identify the NLOS propagation. Based on the established model, the maximum likelihood estimation (MLE) method is employed to reduce the error of distance in the NLOS propagation. In order to reduce the computational complexity, a modified Monte Carlo method is applied to search the optimal position of the target. Moreover, the extended Kalman filtering (EKF) algorithm is introduced to achieve localization. The simulation and experimental results show the effectiveness of the proposed algorithm in the improvement of localization accuracy.

关键词： NLOS EKF localization probability model MLE

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach to Task Scheduling using The PSO Algorithm based probability model in Cloud Computing

引用

INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 2016年第11期9卷 309-321页

作者： Li Ruizhi Gao Jue Gao Honghao Bian Minjie Xu Huahu Shanghai Univ Sch Engn & Comp Sci Shanghai 200444 Peoples R China Shanghai Shang Da Hai Run Informat Syst Co Ltd Shanghai Peoples R China Shanghai Univ Ctr Comp Shanghai 200444 Peoples R China

With the development of cloud computing technology, people not only want to pursue the shortest time to complete the tasks by using cloud computing, but also hope to take into the running costs of machines. Existing task scheduling algorithm in the cloud computing environment has been unable to meet people's needs. As an extension and generalization of the model checking theory, probability model checking is also used in many fields, such as random distributed algorithm and other areas. The task scheduling algorithm based on the particle swarm optimization algorithm combined with probability model is proposed in this paper. The algorithm defines the fitness functions of the time cost and the running cost. The fitness functions can improve the efficiency of the cloud computing platform. At the same time, the probability model can be used to analyze the running states of machines and the computing capability of the nodes in the cloud cluster. The probability, which is calculated by the probability model, provides the basis for changing particle swarm algorithm's the inertia factor and the learning factor, so as to solve the drawback that the inertia factor and the learning factor solely depend on the fixed value.

关键词： Particle Swarm Optimization Algorithm probability model Inertia Factor Learning Factor Auto-correcting

来源：评论

学校读者我要写书评

暂无评论

Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data

引用

BMC MOLECULAR AND CELL BIOLOGY 2019年第1期20卷 21-21页

作者： Gana, Rajaram Vasudevan, Sona Georgetown Univ Dept Biochem & Mol & Cellular Biol Washington DC 20057 USA

Background: To-date, no claim regarding finding a consensus sequon for O-glycosylation has been made. Thus, predicting the likelihood of 0-glycosylation with sequence and structural information using classical regression analysis is quite difficult. In particular, if a binary response is used to distinguish between O-glycosylated and non-O-glycosylated sequences, an appropriate set of non-O-glycosylatable sequences is hard to find. Results: Three sequences from similar post-translational modifications (PTMs) of proteins occurring at, or very near, the S/T-site are analyzed: N-glycosylation, O-mucin type (O-GaINAc) glycosylation, and phosphorylation. Results found include: 1) The consensus composite sequon for O-glycosylation is: similar to(W-S/T-W), where "similar to" denotes the "not" operator. 2) The consensus sequon for phosphorylation is similar to(W-S/T/Y/H-W);although W-S/T/Y/H-W is not an absolute inhibitor of phosphorylation. 3) For linear probability model (LPM) estimation, N-glycosylated sequences are good approximations to non-O-glycosylatable sequences;although N - similar to P - S/T is not an absolute inhibitor of O-glycosylation. 4) The selective positioning of an amino acid along the sequence, differentiates the PTMs of proteins. 5) Some N-glycosylated sequences are also phosphorylated at the S/T-site in the N - similar to P - S/Fsequon. 6) ASA values for N-glycosylated sequences are stochastically larger than those for O-GIcNAc glycosylated sequences. 7) Structural attributes (beta turn II, II', helix, beta bridges, beta hairpin, and the phi angle) are significant LPM predictors of O-GIcNAc glycosylation. The LPM with sequence and structural data as explanatory variables yields a Kolmogorov-Smirnov (KS) statistic of 99%. 8) With only sequence data, the KS statistic erodes to 80%, and 21% of out-of-sample O-GIcNAc glycosylated sequences are mispredicted as not being glycosylated. The 95% confidence interval around this mispredictions rate is 16% to 26

关键词： O-glycosylation N-glycosylation phosphorylation consensus sequon linear probability model ridge regression

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：