Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power,
2020
School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201,China;
Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang
Journal of System Simulation
Abstract: Because of the randomness and fluctuation of the wind power, the large scale wind power integration makes the economic emission dispatch of power systems more complicated. By fusing the advantages of the differential evolution algorithm with the parameter self-adaption and crisscross optimization, a hybrid intelligent optimization algorithm called ADE-CSO is proposed to solve the dynamic economic emission dispatch considering wind power integration. A constraint handling technology is introduced to satisfy the feasibility of the power balance and ramp limits. To demonstrate the effectiveness of the proposed algorithm, a typical test case of five generator bus system is conducted and …
Classification Of Chest X-Ray Disease Based On Convolutional Neural Network,
2020
Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;
Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu
Journal of System Simulation
Abstract: The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic disease classification for the chest abnormal parts is proposed and a dataset of the thoracic disease classification labels is complied. The thoracic disease classification is evaluated through four kinds of convolutional neural networks, AlexNet, VGGNet, ResNet and DenseNet and through three kinds of training methods, direct training, ImageNet pre-training and Chest X-14 pre-training. The result shows that the more complicated convolutional neural network with the more parameters, the better performance …
Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior,
2020
1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma
Journal of System Simulation
Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, …
Crowd Evacuation Model Based On Improved Pso Algorithm,
2020
School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li
Journal of System Simulation
Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the …
Research On Modeling Technology For Hard Cutting Process,
2020
1. School of Mechaical and Dynamic Engineering, Harbin University of Science and Technology, Harbin 150080, China;;
Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li
Journal of System Simulation
Abstract: The hard cutting has the features of the high maching flexibility, economical efficiency and environmental friendliness, and is widely used in automobile industry, bearing industry, hydraulic industry, etc. The simulation modeling not only plays an important role in predicting the performance of the hard machining and optimizing machining parameters, but also better reflects the nature of the machining and provides the theoretical guidance to the actual machining. The simulation modeling methods of the hard cutting at home and abroad are introduced, and the chip formation, cutting force, cutting temperature, tool wear and machined surface quality are summarized, and the …
Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization,
2020
1. College of Computer and Information, Hohai University, Nanjing 211100, China;;2. Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing 210000, China;;
Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen
Journal of System Simulation
Abstract: A spatiotemporal saliency detection method based on Gestalt optimization is proposed. A method based on the multi-scale local sparse representation and local contrast measure is proposed to compute the spatial saliency in the infrared videos. A multi-frame symmetric difference approach is adopted to detect the temporal saliency. To get the initial spatiotemporal saliency map, a scheme based on the mutual-consistency is designed to fuse the spatial and temporal saliency maps adaptively. A Gestalt-guided optimization method is designed to calculate the final spatiotemporal saliency map. Experimental results show that the proposed method can effectively detect the spatiotemporal saliency of infrared …
A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem,
2020
1. Faculty of Management Engineering, Huaiyin Institute of Technology, Huaian 223200, China;;2. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013, China;;3. Jiangsu Smart Factory Engineering Research Center, Huaian 223003, China;
A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu
Journal of System Simulation
Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote …
3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph,
2020
Information Engineering University, Zhengzhou 450000, China;
3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu
Journal of System Simulation
Abstract: UAV sequence image has the characteristics of high overlap and strong topological connection. Aiming at the inefficient and unstable in processing the large-scale UAV images of the existing incremental 3D reconstruction algorithm, a 3D reconstruction method based on motion structure graph is proposed. The image matching index is established by using the geolocation information and IMU data to improve the image matching efficiency, and the random motion consistency algorithm is used to calculate the relative motion; motion structure graph is used to represent the "association" between images, and closed-loop detection algorithm is used to eliminate the false edges. Under …
Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support,
2020
Battle Support Experiment & Simulation Training Center, Air Force Logistics College, Xuzhou 221000, China;
Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei
Journal of System Simulation
Abstract: Quantitative evaluation is an important part of the simulation training of the Aviation Ammunition technical support. In order to realize the automatic evaluation of the simulation training, intelligent evaluation technology is introduced, and a prediction model based on Sigmoid regression is proposed. On the basis of analyzing the linear relationship of the sample data of the performance indicators, a subset of the characteristic indicators is selected as the input of the prediction mathematical model. In order to avoid the gradient descent method falling into the local solution problem, the gradient descent + PSO algorithm is presented. After testing the …
Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping,
2020
Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;
Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai
Journal of System Simulation
Abstract: Combined with characteristics of the traditional quadrotor and the quad tilt-wing UAV, a quadrotor UAV with the vector thrust (VTQ) is proposed. This UAV has the ability of vertical take-off and landing and hovering, as well as the high maneuverability of the traditional quad tilt-wing UAV. It has the ability of completing the diversified tasks by being specified the desired yaw angle and pitch angle. Control system adopts the method of the layered design. The upper layer is the position control system, the lower layer is the attitude control system, and the control laws are both designed by the …
Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory,
2020
1. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China;;2. Henan Provincial Key Laboratory of Robotics and Intelligent System, Luoyang 471003, China;;
Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin
Journal of System Simulation
Abstract: A pneumatic-driven gait rehabilitation robot based on rigid mechanism and flexible driver is designed. To explore the dynamic characteristics of the human-robot harmony system constructed by patients and the exoskeleton robot, the dynamic models of human, robot and human-robot system in different gait phases are established based on Lie group and Lie algebra theory. The driving and energy characteristics of three rehabilitation training modes of passive, active assistance and resistance are analyzed. The robot joint driven moment and the human active moment are simulated to verify the Lie group and Lie algebraic modeling method and the dynamic model. It …
Simulation Optimization Of Initial Fire Evacuation Schemes For Vertical Ship Lift,
2020
1. College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China;;2. Hubei Key Laboratory of Hydropower Project Construction & Management (China Three Gorges University), Yichang 443002, China;;
Simulation Optimization Of Initial Fire Evacuation Schemes For Vertical Ship Lift, Chen Shu, Xi Yan, Jianping Wang, Menghan Shang, Li Zhi
Journal of System Simulation
Abstract: In order to improve the efficiency of fire evacuation in the initial stage of the vertical ship lift and reduce the evacuation time, the structure and evacuation channel of the vertical ship lift are analyzed to identity the vertical evacuation path. The vertical evacuation time is determined by comparing the evacuation time of stairs and elevator based on the docking rules of cargos. Aiming at the shortest vertical evacuation time the evacuation time of the different docking elevations is simulated to obtain the optimal evacuation plan. The results show that, when the distance between the docking elevation and the …
Study Of Parallelized Graph Clustering Algorithm Based On Spark,
2020
1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;;2. University of Chinese Academy of Sciences, Beijing 100190, China;
Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li
Journal of System Simulation
Abstract: The parallelized graph clustering algorithm is researched. A new parallelized graph clustering algorithm is proposed based on Spark. As the top operation of Spark occupies a lot of memory space, a new algorithm which is used to substitute the top operation is proposed to reduce the memory consumption. By improving bottom up hierarchical clustering algorithm, the speed of the proposed algorithm is improved. A new data filtering method based on the feature of graph data is proposed. By the method, the running time and memory space comsuption is reduced greatly. The reason of the high efficiency of this filtering …
A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search,
2020
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang 330022, China;
A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang
Journal of System Simulation
Abstract: The difficulties of designing a multi-strategy differential evolution (DE) algorithm are how to select the mutation strategies and allocate these strategies. A multi-strategy DE algorithm combined with the neighborhood search operator is proposed. The population is divided into three subpopulations according to the fitness values, and each subpopulation employs a different mutation strategy and parameter settings to complement the search ability, to balance the exploration and exploitation ability of the whole population. The subpopulation with the best fitness values employs the neighborhood search operator to exploit possible benefit information to guide the search. Extensive experiments are carried out on …
Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load,
2020
1. School of Mechanical Engineering, Tongji University, Shanghai 201804, China;;2. SAIC Motor Technical Center, Shanghai 201804, China;;
Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming
Journal of System Simulation
Abstract: A FEM simulation of a high voltage circuit breaker under actual conditions is proposed to solve the high-frequency vibration and mechanical failure problems caused by the realistic factors such as the clearance and structural elasticity of the breaker. Its operating characteristic under the high power pulse load is analyzed and the influence of the spring stiffness and dimension error on the breaker’s motion characteristics was predicted. On the basis of the dependency of the breaker’s mechanical characteristics on potential faults, critical parameters and design defects are established. The new FEM of the a high-voltage circuit breaker will replace the …
Holiday Highway Traffic Flow Prediction Method Based On Deep Learning,
2020
1. School of Traffic Engineering, Kunming University of Science and Technology, Kunming 650504, China;;2. Yunnan Integrated Transportation Development and Regional Logistics Management Think Tank, Kunming 650504, China;
Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge
Journal of System Simulation
Abstract: Accurately predicting highway traffic holiday flow can provide important data for the emergency management of highway. The LSTM-SVR prediction model is established by using the theoretical framework of deep learning. The BP neural network is used to process the sample data, and the data features captured by LSTM are input into the SVR regression layer to realize the traffic flow prediction. Before and after the “Eleventh” Golden Week, the LSTM-SVR model was verified by using the traffic monitoring data of the intermodulation station in Lijiang City and the prediction results were compared with the others. It is found that …
Attribute Proxy Re-Encryption For Ciphertext Storage Sharing Scheme On Blockchain,
2020
1. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;;
Attribute Proxy Re-Encryption For Ciphertext Storage Sharing Scheme On Blockchain, Xiaohong Zhang, Lanlan Sun
Journal of System Simulation
Abstract: In order to implement the information storage sharing service safely and efficiently, a blockchain storage sharing scheme supporting the attribute proxy re-encryption and keyword retrieval is proposed. By the nodes classification and ciphertext storage separation, the anti-collusion attack is better implemented. The smart contract design of the information transaction is introduced and the information sharing parties can communicate spontaneously without the participation of the central organization. By the attribute-based proxy re-encryption algorithm, the information owner can share the information with other users without re-encrypting, uploading, and downloading information, and relieves the burden of the high-frequency access of the cloud …
Translating Counting Problems Into Computable Language Expressions,
2020
University of Missouri-St. Louis
Translating Counting Problems Into Computable Language Expressions, Zach Prescott
Theses
The realm of automated problem solving is a relatively new field, even in the context of natural language processing. One area where this is often demonstrated is that of creating a program that can solve word problems. The program must understand the problem, perform some processing, and then convey this information to a user in a way that is accessible and understandable. There has been quite a lot of progress in this area with simpler problems. However, when it comes to understanding problems that involve a level of NLP, the results are not conclusive. In this paper, we would like …
Action Recognition Using The Motion Taxonomy,
2020
University of South Florida
Action Recognition Using The Motion Taxonomy, Maxat Alibayev
USF Tampa Graduate Theses and Dissertations
In the last years, modern action recognition frameworks with deep architectures have achieved impressive results on the large-scale activity datasets. All state-of-the-art models share one common attribute: two-stream architectures. One deep model takes RGB frames, while the other model is fed with pre-computed optical flow vectors. The outputs of both models are combined to be used as a final probability distribution for the action classes. When comparing the results of individual models with the fused model, it is common to see that that latter method is more superior. Researchers explain that phenomena with the fact that optical flow vectors serve …
Literature Review: How U.S. Government Documents Are Addressing The Increasing National Security Implications Of Artificial Intelligence,
2020
Purdue University
Literature Review: How U.S. Government Documents Are Addressing The Increasing National Security Implications Of Artificial Intelligence, Bert Chapman
Libraries Faculty and Staff Scholarship and Research
This article emphasizes the increasing importance of artificial intelligence (AI) in military and national security policy making. It seeks to inform interested individuals about the proliferation of publicly accessible U.S. government and military literature on this multifaceted topic. An additional objective of this endeavor is encouraging greater public awareness of and participation in emerging public policy debate on AI's moral and national security implications..
