Analysis Of Rubber Conveyor Belt Sag Resistance Experiment Table Dynamics,
2020
College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China;
Analysis Of Rubber Conveyor Belt Sag Resistance Experiment Table Dynamics, Mao Jun, Wang Xin, Hongyue Chen
Journal of System Simulation
Abstract: To study the dynamic characteristics of rubber conveyor belt sag resistance bench working process, by hydraulic cylinder pressure, roll eccentricity error and st2000 conveyor belt thickness error as system incentive, a 3-DOF dynamics sag resistance test bench dynamic model was established. The model was solved by using Simulink. The results show that: as provided by the hydraulic cylinder pressure force of 10, 000 N, in the time domain, the vibration of the idler roller and pass roller slants big, which need to improve the connection stiffness. In the frequency domain, the excitation frequency and the natural frequency have larger …
Computational Investigation Into Thermal-Mechanical Coupling Characteristics Of Disc Brake Under Anti-Lock Braking Condition,
2020
School of Automotive Engineering, Tongji University, Shanghai 201804, China;
Computational Investigation Into Thermal-Mechanical Coupling Characteristics Of Disc Brake Under Anti-Lock Braking Condition, Lijun Zhang, He Zhen, Dejian Meng
Journal of System Simulation
Abstract: The braking condition has great influence on the thermal-mechanical coupling characteristics of disc brake. A three-degree-of-freedom dynamic model of braking vehicle was built. The braking force was determined by an anti-lock braking system (ABS) which adopted the threshold-logical control strategy of wheel slip rate. With the model, anti-lock braking processes on dry and wet were simulated. In the meantime, for the sake of comparison, non-anti-lock braking processes were simulated on corresponding road. A thermal-mechanical coupling finite element model of a ventilated disc brake was established. Thermal-mechanical coupling characteristics of brake disc and brake lining were calculated under different braking …
Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm,
2020
Aeronautic Engineering College, Civil Aviation University of China, Tianjin 300300, China;
Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei
Journal of System Simulation
Abstract: Aircraft scheduling was studied, and an optimization model of aircraft assignment based on the objective function of maximize total profit was suggested. It considered its cost and benefits by combining fleet and aircraft. In the view of the feature of this model, the innovation of genetic algorithm chromosome was carried on, and these chromosomes formatted chromosome groups. The groups interior could cross over and mutate, and the probability of crossover and mutation could dynamically adjust in accordance with adaptive values to accelerate the convergence speed, the model was resolved fast in this way. In the process of simulation with …
Control Allocation Method For Split-Drag-Rudders With Asymmetrical Deflection,
2020
School of Automation, Northwestern Polytechnical University, Xi'an 710072, China;
Control Allocation Method For Split-Drag-Rudders With Asymmetrical Deflection, Xiaobo Qu, Weiguo Zhang, Jingping Shi
Journal of System Simulation
Abstract: The split drag rudders (SDRs) were usually used for the yaw control of tailless flying wing aircraft with the symmetric deflection mode. This approach was simple and effective, but the upper and lower deflectors of the SDRs were constrained to deflect symmetrically, limiting the distribution and control mode of the deflectors, reducing the maximum available moment in pitch axis and roll axis, affecting the handling performance of the aircraft flying at low speed. A certain flying wing UAV was used as the study model. The CFD method was adopt to investigate the aerodynamic characteristic of SDRs operating in either …
Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System,
2020
Department of Automation, North China Electric Power University, Baoding 071003, China;
Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang
Journal of System Simulation
Abstract: Aiming at the non-linear, large inertial, uncertain parameters and multi-disturbances of the main steam temperature object in power plants, a mixed H2/H∞ optimal PID control scheme was designed. The multiplicative perturbed boundary of the H∞ and the effective range of the PID controller parameters were given under the system being closed-loop stability. An improved gravitational search algorithm was proposed in order to obtain optimum performance indicators. The effectiveness of the algorithm was supported through testing on typical test functions, then the algorithm was applied to optimize the parameters of the main steam temperature system Mixed …
Modeling Method Based On Reachable Set For Safety Path In Autonomous Vehicle Obstacle Avoidance,
2020
1. School of Traffic & Vehicle Engineering, Shandong University of Technology, Zibo 255000, China;;2. School of Computer and Electronic Information Engineering, Shandong Yingcai University, Jinan 250104, China;
Modeling Method Based On Reachable Set For Safety Path In Autonomous Vehicle Obstacle Avoidance, Cao Kai, Xiaoxiao Huang, Yu Yun, Liu Chun
Journal of System Simulation
Abstract: In view of problem in all possible uncertain behavior of vehicle unable existed by the traditional path planning algorithm, a modeling method was proposed which deemed a moving vehicle as a hybrid system switching dynamically between continuous and discrete mode, modeled an optimal trajectory for vehicle obstacle avoidance by using a single security target location, and built a safe state reachable set based on the trajectory beam of multiple security target locations. On this basis, the condition of the inevitable collision of vehicle was analyzed, and the optimal control problem with loose constraints for the vehicle obstacle avoidance was …
Orthogonal Experimental Optimization Design For Improving Aerodynamic Characteristics Of Hovering Air Vehicle,
2020
School of Information Technology and Engineering, Tianjin University of Technology and Education, Tianjin 300222, China;
Orthogonal Experimental Optimization Design For Improving Aerodynamic Characteristics Of Hovering Air Vehicle, Yanan Yu
Journal of System Simulation
Abstract: Vertical hovering MAV model with flexible aerodynamic shape was proposed. The passive adaptive deformation that produced on the aerodynamic shape was designed to absorb disturbance from outside airflow pressure, and furthermore to improve aircraft's disturbance resistance ability. Multiple factors' effects for aircraft's aerodynamic characteristics were analyzed, such as structural geometrical parameters, candidate material properties, and environmental parameters. The orthogonal experimental analysis of aircraft aerodynamic forces was accomplished, which include the forces produced in the horizontal and vertical direction. The significant factors effecting on the flight performance were discussed and the best response value in the selected parameter range was …
Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture,
2020
School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu
Journal of System Simulation
Abstract: The fixed structure of turbo-generator stator end was studied. Bottom-up modelling method was applied to establish the finite element model. The method calculating the combined stiffness of the connection structure and effective contact area was proposed, which used conical symmetric mid plane. Combined with spring-damper unit, insulated screw was analysed by finite element simulation. The stator winding end as a whole system was for modal analysis. Corresponding natural frequency and vibration model were acquired. Hammering test method and modal testing system were applied to calculate the steam turbine end natural frequency. Compared with the experimental result, the text given …
Dynamic Stochastic Relay Selection Algorithm In Peer-To-Peer Networks,
2020
Department of Electronics and Information Engineering, HuaZhong University of Science and Technology, Wuhan 430074, China;
Dynamic Stochastic Relay Selection Algorithm In Peer-To-Peer Networks, Chengwei Zhang, Wenqing Cheng, Hei Xiaojun
Journal of System Simulation
Abstract: A stochastic routing algorithm for selecting appropriate relay nodes in peer-to-peer networks was proposed. This algorithm was constructed using a stochastic programming framework by leveraging the actual delay of local links and the statistical delay distributions of non-local overlay links. In order to approximate the statistical delay distribution of non-local overlay links, the historical delay values of each link were utilized to approximate the link delay distribution. This algorithm was fully distributed and the stochastic link measurement data could be updated between neighboring nodes at a longer time granularity to reduce routing overhead. This algorithm and …
Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network,
2020
1. School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China;;
Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue
Journal of System Simulation
Abstract: Recent years, with the rapid development and wide use of multi-granularity transport network, the pressure of backbone transmission network has been alleviated to some extent. However, the growing user demands to the Internet make network power consumption and bandwidth still face severe challenge. To deal with it, a bifurcation multi-path grooming algorithm was proposed and its associated bandwidth allocation strategy was devised to reduce power consumption and blocking rate. The proposed algorithm has been implemented by simulation and the evaluation results show that its performance is better than that of the benchmark.
Research On Modeling Of Pump Model Based On Rbf Neural Network,
2020
College of Engineering, Bohai University, Jinzhou 121013, China;
Research On Modeling Of Pump Model Based On Rbf Neural Network, Qinghui Wu, Qinghuan Shen, Xinjun Wang
Journal of System Simulation
Abstract: On the basis of research on pump characteristics and pump model, a modeling method based on RBF neural network with K-means clustering algorithm was proposed. With k-means clustering algorithm the center vector and base width parameters, in which lie in the hidden layer, were optimized by input data sample. The weights between the hidden layer and the output layer were optimized by input-output data sample with least squares method. The neural network models of the pump characteristic and pump comprehensive model were separately trained and checked using the detected data. Its results suggest that reasonably choosing the number of …
Recent Advances In Finite Element Simulation Of Machining Processes,
2020
Harbin University of Science and Technology, Harbin 150080, China;
Recent Advances In Finite Element Simulation Of Machining Processes, Caixu Yu, Chunbin Cai, Huang Cui, Erliang Liu
Journal of System Simulation
Abstract: Recently, the finite element simulation technology has been widely applied in machining simulation and has played an irreplaceable role in the investigations of machining mechanism of metal and composite materials, optimization of cutting parameters,etc. The importance of finite element simulation, commonly used software and material constitutive model were introduced. The latest research progress of the finite element simulation of cutting at home and abroad was summarized, including the simulation of chip morphology, the simulation of cutting force and cutting temperature, tool wear simulation, the machined surface integrity, simulation of the effect of multi-steps cutting on cutting process and finite …
Learning To Learn Kernels With Variational Random Features,
2020
Inception Institute of Artificial Intelligence
Learning To Learn Kernels With Variational Random Features, Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Machine Learning Faculty Publications
We introduce kernels with random Fourier features in the meta-learning framework for few-shot learning. We propose meta variational random features (MetaVRF) to learn adaptive kernels for the base-learner, which is developed in a latent variable model by treating the random feature basis as the latent variable. We formulate the optimization of MetaVRF as a variational inference problem by deriving an evidence lower bound under the meta-learning framework. To incorporate shared knowledge from related tasks, we propose a context inference of the posterior, which is established by an LSTM architecture. The LSTMbased inference network effectively integrates the context information of previous …
Rrsds: Towards A Robot-Ready Spoken Dialogue System,
2020
Boise State University
Rrsds: Towards A Robot-Ready Spoken Dialogue System, Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, David Mcneill
Computer Science Faculty Publications and Presentations
Spoken interaction with a physical robot requires a dialogue system that is modular, multimodal, distributive, incremental and temporally aligned. In this demo paper, we make significant contributions towards fulfilling these requirements by expanding upon the ReTiCo incremental framework. We outline the incremental and multimodal modules and how their computation can be distributed. We demonstrate the power and flexibility of our robot-ready spoken dialogue system to be integrated with almost any robot.
How To Make Sure That Robot's Behavior Is Human-Like,
2020
The University of Texas at El Paso
How To Make Sure That Robot's Behavior Is Human-Like, Vladik Kreinovich, Olga Kosheleva, Laxman Bokati
Departmental Technical Reports (CS)
In many applications -- e.g., in health care -- it is desirable to make robots behave human-like. This means, in particular, that robotic control should not be optimal, it should be similar to human (suboptimal) behavior. People's decisions are based on bounded rationality: since we cannot compute an optimal solution for all possible situations, we divide situations into groups and come up with a solution appropriate for each group. What is optimal here is the division into groups. It is therefore desirable to implement a similar algorithm for robots. To help with such algorithms, we provide techniques that help optimally …
Learning Word Groundings From Humans Facilitated By Robot Emotional Displays,
2020
Boise State University
Learning Word Groundings From Humans Facilitated By Robot Emotional Displays, David Mcneill, Casey Kennington
Computer Science Faculty Publications and Presentations
In working towards accomplishing a human-level acquisition and understanding of language, a robot must meet two requirements: the ability to learn words from interactions with its physical environment, and the ability to learn language from people in settings for language use, such as spoken dialogue. In a live interactive study, we test the hypothesis that emotional displays are a viable solution to the cold-start problem of how to communicate without relying on language the robot does not–indeed, cannot–yet know. We explain our modular system that can autonomously learn word groundings through interaction and show through a user study with 21 …
Identification Of Microscopy Cell Images By Using Convolutional Neural Network Application,
2020
Universiti Malaya
Identification Of Microscopy Cell Images By Using Convolutional Neural Network Application, Ajis Norfatin Farisya
Student Works (2020-2029)
Breast cancer has been the major factor of cancer death and the second main cause of women’s deaths in the world. The false positive results of this cancer cell detection during the screening test leads to false treatment and emotional disturbance of the patients. Thus, breast cancer cell lines (MCF7) is used as the microscopy image samples together with the Human Bone Osteosarcoma Epithelial Cells (U2OS), and Human Hepatocyte as control to study the effectiveness of convolutional neural network (CNN) as a method of image recognition. The objectives of this study are to determine the ability of convolutional neural network …
Unsupervised Monocular Depth Estimation With Multi-Scale Structural Similarity Powered Loss Function,
2020
Universiti Malaya
Unsupervised Monocular Depth Estimation With Multi-Scale Structural Similarity Powered Loss Function, Kohan Ali
Student Works (2020-2029)
Depth Estimation refers to a set of techniques and algorithms that aim to obtain a representation of spatial information of a scene. Nowadays specific hardware such as sensors, radars and multiple-view-recording cameras are being used in order to acquire depth data of a scene. Modern approaches use deep learning to address this task by trying to learn depth information in a supervised manner. However, this approach requires a large amount ground-truth data for a particular scene so that a model can be trained successfully. Also preparing ground-truth data for a range of environments is a challenging and expensive task to …
Efficient Vehicle Routing Optimization For Autistic Users,
2020
Universiti Malaya
Efficient Vehicle Routing Optimization For Autistic Users, Mohammed Shabalah Abdulrahman Hasan
Student Works (2020-2029)
In recent years, daily life without a vehicle would be impossible. As an inevitable result, the number of vehicles on the road increases day by day in various large cities around the world. The increased number of vehicles is a big concern because it causes a lot of traffic congestions, especially during peak hours. Besides, there has been a rapid rise of on-demand Ride-Hailing Services (RHSs), such as Grab, Uber, EzCab, and MyCar, etc. This allows passengers with smartphones to place trip requests and assign them to drivers according to requester’s location and drivers' availability. In consequence, efficient routing algorithms …
Adaptive Large Neighborhood Search For Vehicle Routing Problem With Cross-Docking,
2020
Singapore Management University
Adaptive Large Neighborhood Search For Vehicle Routing Problem With Cross-Docking, Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu
Research Collection School Of Computing and Information Systems
Cross-docking is considered as a method to manage and control the inventory flow, which is essential in the context of supply chain management. This paper studies the integration of the vehicle routing problem with cross-docking, namely VRPCD which has been extensively studied due to its ability to reducethe overall costs occurring in a supply chain network. Given a fleet of homogeneous vehicles for delivering a single type of product from suppliers to customers through a cross-dock facility, the objective of VRPCD is to determine the number of vehicles used and the corresponding vehicle routes, such that the vehicleoperational and transportation …
