Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (1472)
- Computer Sciences (1444)
- Artificial Intelligence and Robotics (905)
- Operations Research, Systems Engineering and Industrial Engineering (883)
- Numerical Analysis and Scientific Computing (866)
-
- Systems Science (862)
- Electrical and Computer Engineering (552)
- Digital Communications and Networking (132)
- Computer and Systems Architecture (101)
- Robotics (94)
- Other Computer Engineering (88)
- Social and Behavioral Sciences (84)
- Data Storage Systems (62)
- Electrical and Electronics (46)
- Mechanical Engineering (43)
- Systems and Communications (39)
- Communication (38)
- Civil and Environmental Engineering (37)
- Library and Information Science (32)
- Business (31)
- Civil Engineering (31)
- Software Engineering (28)
- Information Security (26)
- Structural Engineering (25)
- Arts and Humanities (24)
- Chemical Engineering (23)
- Communication Technology and New Media (23)
- Databases and Information Systems (23)
- Institution
-
- China Simulation Federation (862)
- TÜBİTAK (335)
- University of Nebraska - Lincoln (64)
- Singapore Management University (47)
- Technological University Dublin (41)
-
- Santa Clara University (35)
- California Polytechnic State University, San Luis Obispo (33)
- Marquette University (33)
- Wright State University (28)
- California State University, San Bernardino (27)
- Old Dominion University (21)
- Universitas Indonesia (21)
- Air Force Institute of Technology (20)
- City University of New York (CUNY) (20)
- University of South Carolina (19)
- University of Louisville (18)
- Chulalongkorn University (16)
- University of Arkansas, Fayetteville (16)
- University of Central Florida (15)
- Embry-Riddle Aeronautical University (14)
- Portland State University (13)
- University of Kentucky (13)
- Washington University in St. Louis (13)
- Louisiana State University (12)
- San Jose State University (12)
- Purdue University (11)
- Southern Methodist University (11)
- University of New Mexico (11)
- Florida Institute of Technology (10)
- Universitas Negeri Malang (10)
- Keyword
-
- Machine learning (46)
- Simulation (46)
- Deep learning (30)
- Computer Science (28)
- Department of Computer Science and Engineering (28)
-
- Machine Learning (23)
- Classification (21)
- Genetic algorithm (20)
- Robotics (20)
- Deep Learning (17)
- Virtual reality (17)
- Optimization (16)
- Computer Engineering (15)
- Security (15)
- Artificial intelligence (14)
- Neural network (14)
- Numerical simulation (14)
- Particle swarm optimization (14)
- Clustering (12)
- Neural networks (12)
- Artificial Intelligence (11)
- Feature extraction (11)
- Support vector machine (11)
- Automation (10)
- Big data (10)
- Blockchain (10)
- Feature selection (10)
- Image processing (10)
- Internet (10)
- Internet of Things (10)
- Publication
-
- Journal of System Simulation (862)
- Turkish Journal of Electrical Engineering and Computer Sciences (335)
- Research Collection School Of Computing and Information Systems (41)
- Theses and Dissertations (39)
- Department of Electrical and Computer Engineering: Faculty Publications (33)
-
- Electrical and Computer Engineering Faculty Research and Publications (33)
- Browse all Theses and Dissertations (28)
- Electronic Theses and Dissertations (28)
- Faculty Publications (26)
- Dissertations (23)
- Computer Science and Engineering Senior Theses (21)
- Makara Journal of Technology (21)
- Journal of International Technology and Information Management (20)
- Computer Engineering (19)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (16)
- School of Computing: Dissertations, Theses, and Student Research (16)
- Publications (14)
- Master's Theses (11)
- Publications and Research (11)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (10)
- Knowledge Engineering and Data Science (10)
- Library Philosophy and Practice (e-journal) (10)
- Electrical & Computer Engineering and Computer Science Faculty Publications (9)
- Faculty and Staff Scholarship (9)
- All Computer Science and Engineering Research (8)
- Conference papers (8)
- Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research (8)
- SMU Data Science Review (8)
- Boise State University Theses and Dissertations (7)
- Computer Science Faculty Publications (7)
- Publication Type
- File Type
Articles 151 - 180 of 2060
Full-Text Articles in Computer Engineering
Single-Phase Grounding Fault Location In Wind Farm Based On Zero-Sequence Current, Yanyan Zheng, Yongli Zhu, Tongtong Liu, Shanshan Su
Single-Phase Grounding Fault Location In Wind Farm Based On Zero-Sequence Current, Yanyan Zheng, Yongli Zhu, Tongtong Liu, Shanshan Su
Journal of System Simulation
Abstract: The wind power system is different from the conventional transmission system, and its collecting line contains multi sections of cable. The collecting line of wind farm adopts overhead line-power cable hybrid transmission form, and its distance is about 3~20km. Wind farm 35kV neutral point grounding method is different from the conventional distribution network, and its neutral point adopts the winding grounding transformer. In hybrid transmission lines, due to the different velocities of traveling wave in power cable and overhead line, the traditional location algorithm for uniform transmission line is not suitable. A new method of single-phase to grounding fault …
Research And Implementation Of Driving Concern Area Detection Based On Deep Learning, Jihua Ye, Shuxia Shi, Hanxi Li, Shimin Wang, Siyu Yang
Research And Implementation Of Driving Concern Area Detection Based On Deep Learning, Jihua Ye, Shuxia Shi, Hanxi Li, Shimin Wang, Siyu Yang
Journal of System Simulation
Abstract: As a key technology of intelligent driving, driving concern area detection method has an important impact on the performance of intelligent driving or intelligent early warning system. In view of the shortcomings of the existing methods, this paper proposes an effective method for driving concern area detection based on the deep learning. We obtain the camera internal and external parameters by using camera self-calibration method based on camera model, use the Canny edge detection and Bisecting K-means clustering to realize the vanishing point estimation, and establish the road detection model based on the obtained estimates. We obtain the depth …
Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao
Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao
Journal of System Simulation
Abstract: With the development of urbanized transportation, the perceptual computing plays an important role in smart cities. Aiming at the problem that the traditional density clustering algorithm cannot adapt to massive taxi GPS trajectory data and visualization, the BCS-DBSCAN (Big-Data Cluster Center Statistics Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is proposed. The algorithm can segment and parallelize the trajectory data, extract the maximum density cluster, and adapt the result to the visualization model. The experimental results show that compared with other popular methods, this method has significant advantages in extracting clustering speed, accuracy and visualization of urban …
Cooperative Control Technology Of Networked Autonomous Driving Vehicle Based On Delay Compensation, Zhengze Zhu, Haiying Zhou, Yongzhi Fu, Zhou Kui, Sishan Wang, Jiayuan Gong, Sihao Deng, Kunming Hou
Cooperative Control Technology Of Networked Autonomous Driving Vehicle Based On Delay Compensation, Zhengze Zhu, Haiying Zhou, Yongzhi Fu, Zhou Kui, Sishan Wang, Jiayuan Gong, Sihao Deng, Kunming Hou
Journal of System Simulation
Abstract: In view of the disordered and lost packets problems in intelligent transportation system, this paper studies the cooperative control technology of autonomous driving vehicle and proposes an autonomous platoon-driving model based on Zero Order Hold (ZOH) information processing mechanism. A dedicated nonlinear state estimation algorithm is used to compensate for the delay so the platoon-driving model remains valid under the complex vehicle driving environments. A real autonomous driving platoon is tested in a vehicle proving ground for cooperative driving. The analysis of the experimental data and simulation results based on the real networked autonomous driving system verified the stability, …
Numerical Simulation Of Steady Flow Performance Of Venturi Tube Based On Fluent, Fuyu Liu, Xiaodong Hu, Zhixi Liang, Qinglei Liu
Numerical Simulation Of Steady Flow Performance Of Venturi Tube Based On Fluent, Fuyu Liu, Xiaodong Hu, Zhixi Liang, Qinglei Liu
Journal of System Simulation
Abstract: The cavitation flow performances of a given Venturi tube were studied to get the steady flow curve and predict the cavitation region based on the realizable k-ε turbulence model and Zwart (Zwart-Gerber-Belamri) cavitation model under the designed conditions with FLUENT software. The throat diameters D of the Venturi tube were chosen as 3mm, 5mm, 7mm and 9mm respectively; and the distances L between the throat and the entrance were 60mm,40mm and 20mm respectively. It can be concluded that: (1) The phenomenon of hydraulic cavitation is the main reason for the steady flow of Venturi tubes; (2) Throat diameter affects …
Review Of The Weapon System Simulation Technology, Yan Jie, Wenxing Fu, Zhang Kai, Chen Kang, Xiaofei Chang, Zhang Tong, Bin Fu, Sijie Wu
Review Of The Weapon System Simulation Technology, Yan Jie, Wenxing Fu, Zhang Kai, Chen Kang, Xiaofei Chang, Zhang Tong, Bin Fu, Sijie Wu
Journal of System Simulation
Abstract: Nowadays, the simulation technology are playing a more and more important role in the whole life cycle of weapon system design and application. In this paper, the state of the simulation technology in weapon system design and application is reviewed. And then, to meet the requirement of some brand new warfare styles like combat in complex environment, man-machine cooperation, cyberspace operation, intelligent system operation, combat training, new concepts of weapon simulation are developed, new demand of weapon simulation is introduced and new problems that must be solved are discussed. At last, the necessity and development trend of the …
Design And Realization Of Uav Inspection And Evaluation Simulation System, Xue Jiang, Junfeng Li, Wang Peng, Xiong Shan, Weixia Feng
Design And Realization Of Uav Inspection And Evaluation Simulation System, Xue Jiang, Junfeng Li, Wang Peng, Xiong Shan, Weixia Feng
Journal of System Simulation
Abstract: Aiming at the large-scale application of unmanned aerial vehicles (UAVs) in the power grid, the simulation system of UAV is developed, including flight control module, visual simulation module and training evaluation module. The flight control module based on the flight dynamics, is a simulation platform of UAV combining physical remote controller and simulation of the formation. The visual module consists of two parts, modeling the topography of Guangdong Province and automatically modeling the transmission lines. The training evaluation module contains training system of tower acceptance, tree barrier survey, tower survey and evaluation system of winding flight, overtaking defect search. …
Design Of Spatial Agent Simulation Platform Based On Webgis, Zheng Zhong, Zhengyang Chang, Yunfeng Fei
Design Of Spatial Agent Simulation Platform Based On Webgis, Zheng Zhong, Zhengyang Chang, Yunfeng Fei
Journal of System Simulation
Abstract: Task simulation is important in planning of national defense facility system. An architecture with a simulation model system and task data management system scheme is proposed to combine geo-processing service of traditional GIS and Agent simulation to overcome the shortness in temporal analysis and task simulation of traditional GIS. Potential benefits include: shareable simulations, rich spatial analysis resources, and high credibility. Based on that, an experimental Spatial-Agent simulation prototype is developed with WebGIS technology. Taking a transportation task as an example, the feasibility of the design is verified.
Nonlinear Sliding Mode Control For Robotic Manipulator Based On Disturbance Observer, Gensuo Mi, Huaqi Liang
Nonlinear Sliding Mode Control For Robotic Manipulator Based On Disturbance Observer, Gensuo Mi, Huaqi Liang
Journal of System Simulation
Abstract: A nonlinear sliding mode control strategy of manipulator based on disturbance observer is designed for the characteristics of the manipulator which is sensitive to internal parameter disturbance and the external disturbance in the position tracking. According to the system dynamics model and Lyapunov stability theory, the uncertainties and external disturbances of the system are observed by disturbance observer. At the same time, the nonlinear sliding mode controller is designed and the Lyapunov function is constructed to verify the stability of the system. On this basis, the system control law and the sliding mode control law are designed to compensate …
Track Synthetic Algorithm Based On Modified Fuzzy Theory And D-S Evidence Decision, Zhiwei Wang, Yulan Hu, Shujie Hu, Liu Wei
Track Synthetic Algorithm Based On Modified Fuzzy Theory And D-S Evidence Decision, Zhiwei Wang, Yulan Hu, Shujie Hu, Liu Wei
Journal of System Simulation
Abstract: Aiming at the problems existing in fuzzy reasoning track association, such as the filter divergence, the membership performance degradation, the difficulty in determining association threshold value, and the association effect deterioration under complex circumstances, a track association algorithm based on modified fuzzy theory and D-S Evidence Decision is proposed. Based on the attenuated memory extended Kalman filter (AMEKF), a logarithmic likelihood function adaptive correction method is proposed to correct the disorientation of membership function,and a D-S evidence decision-making tracking association algorithm with conflict resolution and consistent focusing is proposed. The simulation results show that comparing with the original algorithm, …
Research On Fuzzy Adaptive Somatosensory Algorithm For Flight Simulator, Wang Hui, Baofeng Zhang
Research On Fuzzy Adaptive Somatosensory Algorithm For Flight Simulator, Wang Hui, Baofeng Zhang
Journal of System Simulation
Abstract: In order to improve the dynamic fidelity of flight simulator and make full use of the working space, the corresponding improvement scheme of the classical washout algorithm is proposed based on the Stewart motion platform. A two-way fuzzy adaptive elution algorithm is proposed.The algorithm is more in line with the sensory model of the human body by combining the two-way filtering algorithm improvement and the one-dimensional fuzzy adaptive adjustment to compensate the displacement of the high-pass acceleration channel according to the fuzzy rule. The results show that the improved two-way fuzzy adaptive filtering algorithm improves the displacement space from …
Analysis On The Mission Reliability For Auv Based On Monte Carlo Method, Li Juan, Kunyu Zhang, Haibo Li, Lijuan Yang, Mengdi Wang
Analysis On The Mission Reliability For Auv Based On Monte Carlo Method, Li Juan, Kunyu Zhang, Haibo Li, Lijuan Yang, Mengdi Wang
Journal of System Simulation
Abstract: The high reliability of AUV is the necessary condition for it to complete the task satisfactorily and efficiently within the specified time. Traditional fault tree is very convenient for describing the reliability model of the system, but for large and complex system, this will significantly increase the computation of reliability parameters, thus the calculation is difficult. Because it to calculate the reliability parameters of complex systems by the traditional fault tree, this paper adopts the method of combining the minimum cut set of fault tree and Monte Carlo method to establish the reliability model for Underwater Autonomous Unmanned Vehicle …
Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning, Jianpin Zhou, Shuliu Zhang
Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning, Jianpin Zhou, Shuliu Zhang
Journal of System Simulation
Abstract: Aiming at the dynamic stochastic inventory routing problem with periodic fluctuation of demand, a novel simulation optimization approach based on deep reinforcement learning is proposed to achieving periodic steady strategy. Firstly a dynamic combinatorial optimization model is constructed. Then, by deep reinforcement learning and setting heuristic rules, the replenishment nodes set selection and the replenishment batch allocation weights in each period are determined. The simulation experimental results show that the proposed method can improve the average profit of a cycle by about 2.7% and 3.9% in low fluctuating demand case and by about 8.2% and 7.1% in high fluctuating …
A Dorsal Hand Vein Extraction Algorithm For Region Of Interest, Li Qi, Jianjiang Cui, Dingyu Xue, Hongyu Geng
A Dorsal Hand Vein Extraction Algorithm For Region Of Interest, Li Qi, Jianjiang Cui, Dingyu Xue, Hongyu Geng
Journal of System Simulation
Abstract: The rotation and translation of dorsal hand result in deviation, which brings interference during recognizing valid region when collecting dorsal hand vein image. In order to locate valid recognition area quickly, an extraction algorithm for region of interest based on maximum inscribed circle is proposed in view of the characteristics of the collected image. For the collected dorsal hand vein image, this algorithm calculates the center of the maximum inscribed circle and the center of mass, and the rotation angle of the dorsal hand is calculated. The position of the dorsal hand vein image is corrected and the recognition …
Corner Localization In Digital Images Based On Radon Transform, Xuguang Wang, Zhang Qin, Su Jie
Corner Localization In Digital Images Based On Radon Transform, Xuguang Wang, Zhang Qin, Su Jie
Journal of System Simulation
Abstract: Location accuracy is one of the key indexes of measuring the performance of feature point.. High location accuracy feature point detection has important implications for the applications such as 3D reconstruction, motion estimation, target tracking and recognition, image registration, etc. A corner location algorithm based on Radon transform is proposed.Edge binary images are obtained with traditional method first, ideal straight lines and curves are extracted then, potential corner locations are calculated next, fake corners are rejected finally. Experimental results on both simulation and real images show that, this method performs better than the existing methods on interest point localization …
Research On Hwil Simulation Of Rf/Ir Dual-Mode Sensors Based On Compact Antenna, Gao Yang, Ma Jing, Huiyang Qu, Qun Wei, Jindong Fei
Research On Hwil Simulation Of Rf/Ir Dual-Mode Sensors Based On Compact Antenna, Gao Yang, Ma Jing, Huiyang Qu, Qun Wei, Jindong Fei
Journal of System Simulation
Abstract: The advent of RF/IR dual-mode sensor technology in the more and more completed detecting environment has led to the requirement of simulation tools that are necessary to test dual-mode sensor. The hardware-in-the-loop simulation experiment and test of the radio frequency/infrared composite sensor are carried out.A RF/IR dual-mode simulation method based on the Compact antenna test ranges is proposed here. This system consists of IR simulator, RF simulator, beam-combiner etc. The testing result shows that RF/IR dual-mode simulation system has abilities of IR transmission and RF reflection, and could be used in RF/IR dual-mode sensor simulation.
Simulation And Analysis On The Moving Performance Of Quiet Zone On Compact Antenna Test Range, Liwei Guo, Simin Li, Ma Jing, Peng Lin, Jiang Xing
Simulation And Analysis On The Moving Performance Of Quiet Zone On Compact Antenna Test Range, Liwei Guo, Simin Li, Ma Jing, Peng Lin, Jiang Xing
Journal of System Simulation
Abstract: Compact Antenna Test Range (CATR) is an important equipment for Radar-Cross Section test. In order to generate an approximate Uniform Plane Wave (UPW) illuminating environmentand satisfy far field conditions of antenna measurement, the quiet zone scanning of the compact antenna test range is studied by controlling the phase of the array feeding. When the three-tuple array feed and the 2×2 array feed are simulated and only phase changes, the array feed beam scanning is controlled to realize the quiet zone scanning characteristics.The movement characteristics of the quiet zone for the compact antenna test range is analyzed. The movement of …
Study On Model And Accumulation Rule For Departure Check-In Queues, Zhiwei Xing, Junxian Jiang, Luo Xiao, Luo Qian, Yang Yang
Study On Model And Accumulation Rule For Departure Check-In Queues, Zhiwei Xing, Junxian Jiang, Luo Xiao, Luo Qian, Yang Yang
Journal of System Simulation
Abstract: The aggregation rule of departure passengers in the terminal building is studied in combination with human behavior dynamics. Based on this, the change rule of queuing length of departing passengers on non-full-open check-in island is studied. The queuing process is discretized by introducing the concept of time series, and the queue length Markov Chain is obtained in the serpentine queuing form. Then, the aggregation rate of each time series is predicted by the single-flight departure passenger aggregation model. By selecting the appropriate value of the check-in counter service rate, the check-in queuing length model of multiple adjacent flights is …
Multi-Objective Model Of Distribution Route Problem For Fresh Electricity Commerce Under Uncertain Demand, Zhang Qian, Xiong Ying, Mingke He, Zhang Hao
Multi-Objective Model Of Distribution Route Problem For Fresh Electricity Commerce Under Uncertain Demand, Zhang Qian, Xiong Ying, Mingke He, Zhang Hao
Journal of System Simulation
Abstract: Considering the distribution cost, freshness of fresh products, carbon emissions and customer demand uncertainty and other factors, a multi-objective optimization model of distribution path planning is established. Based on the robust optimization method for dealing with uncertain problems, the multi-objective model of distribution routing planning is optimized for the situation that the discrete demand belongs to the uncertainty set of ellipsoid. The model is solved by using the main target method and fruit fly algorithm. It is proved that the model and algorithm are robust and can effectively suppress the disturbance caused by the uncertainty of the demand. This …
Flow Stability Of Hunt Flow Under Low-Intensity Magnetic Field, Dong Shuai, Li Shuang, Xuemin Ye
Flow Stability Of Hunt Flow Under Low-Intensity Magnetic Field, Dong Shuai, Li Shuang, Xuemin Ye
Journal of System Simulation
Abstract: The stability of conducting fluid flow in ducts under magnetic field is vital to materials preparation and the design and operation of thermonuclear fusion cooling system. A model of MHD duct flow which is known as Hunt’s flow is simulated by non-normal mode stability analysis in this study.. The amplification and distribution of optimal primary perturbations are obtained by solving iteratively the direct and adjoint governing equations with respect of the perturbation variables. Four modes of perturbations with different symmetries in the space are considered, and the effect of the low-intensity magnetic field is also taken into …
Research On Sins/Gps Integrated Navigation System Based On Grid Reference Frame For Transpolar Aircraft, Lijun Song, Zhe Li, Qiangwen Fu, He Bo
Research On Sins/Gps Integrated Navigation System Based On Grid Reference Frame For Transpolar Aircraft, Lijun Song, Zhe Li, Qiangwen Fu, He Bo
Journal of System Simulation
Abstract: The mechanics equations of grid navigation system are improved and analyzed in the paper. It is simulated that the SINS/GPS Integrated Navigation System works in the low latitude region and the polar regions. The theoretic is supported by the research of the SINS/GPS Integrated Navigation System working in the polar regions. The result of simulation shows that the performance of SINS/GPS Integrated Navigation System is improved and the shortcomings of SINS and GPS are avoided. By comparing the simulation results of the SINS/GPS Integrated Navigation System, the navigation precision is consistent when the SINS/GPS Integrated Navigation System works …
Research On Urban Rail Transit Route Choice Decision Based On The Improved Imperialist Competition Algorithm, Xiaofeng Lian, Ye Lu, Wang Yan, Limin Jia, Huiru Ma
Research On Urban Rail Transit Route Choice Decision Based On The Improved Imperialist Competition Algorithm, Xiaofeng Lian, Ye Lu, Wang Yan, Limin Jia, Huiru Ma
Journal of System Simulation
Abstract: This paper proposes a method of passenger route selection based on the imperialist competition improvement algorithm (FAST-ICA) to improve the efficiency of passenger route selection. Six key factors influencing the choice of passenger route are selected. On this basis, the generalized travel cost function is constructed and the passenger route selection model is established. By improving the imperial competition way in the imperialist competition algorithm (ICA), the weakest imperial groups are quickly divided up in each iteration of ICA algorithm to accelerate the convergence rate. Based on the proposed FAST-ICA algorithm, the problem of passenger choice in different environments …
Research On Fluid Dynamics Simulation Of Welding Pool Based On Sph Method, Benkai Xie, Zhou Qiang, Li Qin, Ruijun Lin
Research On Fluid Dynamics Simulation Of Welding Pool Based On Sph Method, Benkai Xie, Zhou Qiang, Li Qin, Ruijun Lin
Journal of System Simulation
Abstract: In the development of virtual welding training equipment, real-time interactive simulation of weld forming is the key technology. The current simulation method of weld formation is studied in this pape..For the problem of long time computation and no sense of fluid motion in weld simulation process, a simulation method of weld forming simulation based on smooth particle hydrodynamics is proposed. This method includes the calculation of temperature field which can calculate the fluid particle temperature and modify the updating step of fluid particles according to the temperature of fluid particles. This can realize the transformation of fluid particles from …
Adversarial Attack On Neural Machine Translation System, Abijith K. P.
Adversarial Attack On Neural Machine Translation System, Abijith K. P.
Master’s Dissertations
Nowadays Deep Neural Network based solutions are deployed to solve numerous tasks. Thus, it has become absolutely important to study the robustness of these systems. Machine Translation is one of the popular applications of Deep Neural Networks. This thesis studies the robustness of Neural Machine Translation systems by generating adversarial examples with the objective to fool the model. Whenever there is a change in the source, i.e. when a word in the input sentence is replaced by an unrelated word, the translation system is supposed to reflect the changes while doing translation. These unwanted invariance learned by the model is …
Simulation Analysis Of Head And Neck Injuries For Aircrew Escape System During Traction Rescue, Bohao Xing, Qianxing Zhou, Xingwei Wang, Yuan Yue
Simulation Analysis Of Head And Neck Injuries For Aircrew Escape System During Traction Rescue, Bohao Xing, Qianxing Zhou, Xingwei Wang, Yuan Yue
Journal of System Simulation
Abstract: The biomechanical response of human head and neck was studied to safeguard the helicopter aircrew in the traction escape process. A finite element model of human head and neck was established based on the Chinese pilot’s stature standard. The simulation and experiment results were compared to verify the validity of the model. The simulations under different period overload accelerations obtained from manikin traction aircrew escape experiment were performed to analyze the injuries of human head and neck in the processes of one shoulder traction and both shoulders traction. By an analysis of the head impact and acceleration, the simulation …
Airplane Pre-Conditioning Optimizing Control Based On Large-Scale System Theory, Xiuyan Wang, Gewen Zhang, Zhou Chen, Zongshuai Li, Yanmin Liu
Airplane Pre-Conditioning Optimizing Control Based On Large-Scale System Theory, Xiuyan Wang, Gewen Zhang, Zhou Chen, Zongshuai Li, Yanmin Liu
Journal of System Simulation
Abstract: Aiming at airplane pre-conditioning optimizing control, a modified OPBM (Output Predicition and Balance Method) was introduced. Taking Boing 737 airplane pre-conditioning as the research subject, the decentralized identification algorithm was adopted for establishing the airplane pre-conditioning large-scale system model; the optimal objective considering the system energy consumption, air conditioning area human comfort, and air quality was proposed; and the global system optimization operating condition model was constructed. The OPBMLF with local feedback was designed to optimize globally airplane pre-conditioning system model. Matlab was used for achieving simulation research, and the results was compared with the real data. The results …
Optimization Simulation Analysis Of Process Parameters On Sunroof Roller Hemming Quality Of Car, Haijiang Liu, Qingqing Xu, Tang Da
Optimization Simulation Analysis Of Process Parameters On Sunroof Roller Hemming Quality Of Car, Haijiang Liu, Qingqing Xu, Tang Da
Journal of System Simulation
Abstract: In order to solve the problems of car creep or roll-in and grow or roll-out and wave wrinkling defects in the process of sunroof roller hemming, two quantitative indicators of roller hemming—“coefficient of wave wrinkling” T and “coefficient of creep or roll-in and grow or roll-out” D were put forward in terms of the flange height, roll diameter and distance of TCP-RTP (tool center point-robot target point); a simulation experiment was designed based on orthogonal test; and a finite element model was established. By analyzing the simulation experiment data, the weights and trends of the influence factors on …
Multi Objective Flexible Load Scheduling In Smart Home Based On Grey Wolf Algorithm, Bao Yi, Dai Bo, Zhihua Wang, Wanliang Wang
Multi Objective Flexible Load Scheduling In Smart Home Based On Grey Wolf Algorithm, Bao Yi, Dai Bo, Zhihua Wang, Wanliang Wang
Journal of System Simulation
Abstract: A three level electricity price model is designed based on the electricity consumption. A comfort model of multi parameters is designed for optimizing the grid load control of temperature and the humidity, light intensity and human activity. Grey wolf algorithm is used to solve the multi-objective problem. The grey wolf algorithm has its superiority in solving high dimensional and multi peak of complex function problems. Theoretical and experimental analysis shows that the grey wolf algorithm in accuracy and stability is better than particle swarm optimization algorithm and differential evolution algorithm. The simulation results show that the proposed algorithm can …
Multi-Source Precipitation Data Fusion Method Based On Filtersim, Kunwei Li, You Xiong, Zhang Xin, Fen Tang
Multi-Source Precipitation Data Fusion Method Based On Filtersim, Kunwei Li, You Xiong, Zhang Xin, Fen Tang
Journal of System Simulation
Abstract: Rainfall is an important factor affecting the vehicle off-road maneuver. High-precision rainfall data is a prerequisite for evaluating battlefield off-road traffic capacity quantitatively and developing a program of action reasonably. In view of the shortcomings of traditional interpolation methods, the flitersim multi-point statistical method is used to improve the fusion accuracy of multi-source precipitation data. The rainfall is decomposed into the sum of the local mean and the local residual, the local residuals of the satellite precipitation data are used as the "training data", the local residual data of the weather stations are used as the "hard data", and …
Credibility Evaluation Method Of Small Sample Data Based On Cluster Cloud Model, Jianmin Wang, Yunjie Wu
Credibility Evaluation Method Of Small Sample Data Based On Cluster Cloud Model, Jianmin Wang, Yunjie Wu
Journal of System Simulation
Abstract: In practical engineering, the system credibility evaluation with small amount of data and no evaluation criteria has always been a difficult problem for engineers. Aiming at this problem, a small sample data credibility evaluation method combining clustering method and cloud model is proposed. The clustering method is used to calculate the cluster center value for the small sample, and the cloud model is established based on this. The expanded value for small sample data is generated by the cloud model. The credibility of small sample data can be calculated according to the confidence distribution of cloud drops. It can …