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Articles 8971 - 9000 of 11636
Full-Text Articles in Entire DC Network
Rehabilitation Training System Of Vr-Based Speech Apraxia, Huanhuan Jiao, Zhigeng Pan, Shuchang Xu, Qingshu Yuan
Rehabilitation Training System Of Vr-Based Speech Apraxia, Huanhuan Jiao, Zhigeng Pan, Shuchang Xu, Qingshu Yuan
Journal of System Simulation
Abstract: Aiming at the problem that the enthusiasm of active training in patients with traditional speech apraxia rehabilitation is gradually weakened, a virtual reality-based rehabilitation training system for speech apraxia is designed. The system simulates the 26 monosyllabic pronunciation mouths shapes made by virtual human in Chinese and uses it for the learning module. It is proposed to identify 26 monosyllabic words by using the isolated word speech recognition algorithm, which improves the accuracy of speech recognition. The system includes a training module and a scene module for assisting the patient's pronunciation rehabilitation training. The evaluation results show that …
A Temporal Action Detection Algorithm Based On Spatio-Temporal Feature Pyramid Network, Liu Wang, Jinyu Sun, Shiwei Ma
A Temporal Action Detection Algorithm Based On Spatio-Temporal Feature Pyramid Network, Liu Wang, Jinyu Sun, Shiwei Ma
Journal of System Simulation
Abstract: In view of the discontinuity of motion timing detection in the frame-level prediction network structure, a novel algorithm based on spatio-temporal feature pyramid network (ST-FPN) is proposed. In the frame-level action prediction, several 3D convolution-de-convolution (CDC) networks are used to sample spatial feature down to 1 dimension and sample temporal feature up to corresponding proposal level. Then the prediction scores of different CDC networks are fused by non-maximum suppression (NMS). The softmax classifier is used to classify frame-level actions, and then temporal action detection is obtained. The experimental results on dataset THUMOS14 show that the proposed algorithm improves the …
Design And Finite Element Analysis Of Reflector Spherical Shell For Flight Simulator, Hailiang Bai, Jiang Nan, Zhang Liao, Yuewen Fu
Design And Finite Element Analysis Of Reflector Spherical Shell For Flight Simulator, Hailiang Bai, Jiang Nan, Zhang Liao, Yuewen Fu
Journal of System Simulation
Abstract: The fight simulator with six-degree-of-freedom motion platform can simulate the flight attitude in real time and provide realistic overload dynamic feeling, which requires that the equipment on the platform must adapt to the overload during flight simulation. To solve the contradiction between the rigidity and weight of material, the glass fiber composite material is used to design and manufacture the spherical shell of the mirror . To improve the optical collimation of the reflector, the specific hyperboloid aspheric surface is selected as the surface design scheme,the 3D model of the spherical shell is constructed. The parameters of the …
Research On Dual-Antenna Gnss-Assisted Mins Navigation Method, Hailu Wang, Su Zhong, Liu Ning, Liu Hong, Guodong Fu
Research On Dual-Antenna Gnss-Assisted Mins Navigation Method, Hailu Wang, Su Zhong, Liu Ning, Liu Hong, Guodong Fu
Journal of System Simulation
Abstract: For the integrated navigation system of the single-antenna GNSS-assisted MEMS strap-down inertial navigation system (MINS), the heading angle divergence is invalid when the vehicle is stationary and linear motion, and the error is large. The method of the dual-antenna GNSS-assisted MINS integrated navigation based on EKF is proposed. The error state model is established, and the extended Kalman filter combined filter (EKF) algorithm is designsed for simulation verification. The driving test is carried out by comparing the high-precision SPAN-CPT. The results show that the yaw angle and pitch angle accuracy are 0.2 RMS, 0.3 RMS, which can be used …
Research On Nondestructive Blood Glucose Cloud Detection System Based On Improved Deep Regression Network, Mengjia He, Yingnian Wu, Yang Rui
Research On Nondestructive Blood Glucose Cloud Detection System Based On Improved Deep Regression Network, Mengjia He, Yingnian Wu, Yang Rui
Journal of System Simulation
Abstract: Invasive blood glucose measurement has a strong sense of discomfort and risk of infection, so the study of non-invasive blood glucose has a strong practical significance. At present, the optical method is not convenient for practical use, and the energy conservation method requires strict requirements. In view of the above problems, infrared thermography is used to detect blood glucose. After acquiring infrared thermal images of face figure, we extract the gray feature and reduce its dimension. In order to speed up the training and prevent over fitting, depth regression network is improved to model the infrared thermal image gray …
Short-Term Wind Power Prediction Based On Improved Firefly Algorithm, Jiale Ding, Guochu Chen, Kuo Yuan
Short-Term Wind Power Prediction Based On Improved Firefly Algorithm, Jiale Ding, Guochu Chen, Kuo Yuan
Journal of System Simulation
Abstract: A wind power prediction model based on improved complementary set empirical mode decomposition and improved firefly algorithm to optimize echo state network is proposed to solve the problems of low accuracy in wind power with large randomness and strong volatility prediction of traditional echo state network prediction model. The wind speed series are decomposed into a series of intrinsic modes by using the improved complementary ensemble empirical mode decomposition. The new modes are used to predict wind power by using echo state network, the optimal weight of the model is found by the improved firefly algorithm. The output results …
Research On Simulation Optimization Of Disk-Based Storage Operation Mode In Warehouse, Danlan Xie, Liu Meng, Haihong Yu, Chen Jing, Yubo Zhou, Kazi Mohiuddin
Research On Simulation Optimization Of Disk-Based Storage Operation Mode In Warehouse, Danlan Xie, Liu Meng, Haihong Yu, Chen Jing, Yubo Zhou, Kazi Mohiuddin
Journal of System Simulation
Abstract: As the efficiency of operation affects the overall competitiveness of the port, it is very necessary to design the storage operation mode reasonably. A disk-based storage operation mode is proposed. And the simulation model is established by using the logistics simulation software FlexSim based on the operational requirements of the warehouse. Through a large number of simulation experiments, comparing the primary storage mode with the disk-based storage mode, the results of the increase in total idle rate and the more balanced distribution of each hour utilization ratio of the forklifts are obtained. The result verifies the feasibility and effectiveness …
Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji
Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji
Journal of System Simulation
Abstract: To reduce the energy consumption and sink mobile distance of mobile sink wireless sensor networks simultaneously, a path planning algorithm for mobile sink based on enhanced ant colony optimization algorithm in wireless sensor networks is proposed. Genetic operators are introduced to ant colony optimization algorithm in order to prevent ant colony optimization premature. The non-uniform of data distribution is considered as the constraint condition, the network lifetime and sink mobile distance are considered as a multi-objective problem, and the enhanced ant colony optimization is adopted to search the Pareto sub-optimal sets of rendezvous points. The simulation results show that …
Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng
Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng
Journal of System Simulation
Abstract: Aiming at the design of attitude control of hypersonic vehicles, the sliding mode disturbance observer is used to compensate the composite disturbance, meanwhile the dynamic surface control method is used to deal with the design of the nonlinear control system. Considering the input saturation problem, the control input is expanded into a new variable to design the controller, which is different from the direct limit of the rudder deviation. The simulation results show that the dynamic surface control method based on sliding mode observer has stronger robustness than the simple dynamic inversion control method, but the control inputs of …
Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren
Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren
Journal of System Simulation
Abstract: The performance degradation and failure of high-speed train bogie components will threaten the operation security of train. This paper proposes a fault type identification method based on siamese convolutional neural network to address the scarcity of data and the high-dimension of monitoring signals. Deep residual network with one-dimension convolution layers is employed for features extraction and fusion of vibration signals from multiple sensors. The siamese structure is employed to obtain the similarities between samples. Fault types are identified by ranking similarities in the support set. The experimental results show that the proposed method can identify the fault types with …
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Journal of System Simulation
Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …
On Operational Experiment Systematization, Xiaogang Qiu, Duan Hong, Bin Chen
On Operational Experiment Systematization, Xiaogang Qiu, Duan Hong, Bin Chen
Journal of System Simulation
Abstract: With the complexity of military simulation object, the way of operational experiment is changing. Based on the discussion of operational experiment requirements, we first present the concepts, objectives, requirements, ideas and related technologies of operational experiment systematization, discuss the requirements, objectives and tasks of the construction of the operational experiment system and point out that simulation engineering in military field is the basis of efficient systematic operational experiment. After that, we describe the concept of domain simulation briefly, and analyze the work needed to be carried out in military simulation engineering from the perspective of sharing the results of …
Evaluation Method Of Simulation Results Based On Principal Component Analysis, Rusheng Ju, Zimin Cai, Yang Mei, Wang Song
Evaluation Method Of Simulation Results Based On Principal Component Analysis, Rusheng Ju, Zimin Cai, Yang Mei, Wang Song
Journal of System Simulation
Abstract: A large amount of result data are produced by complex system simulation. These data types are diverse and complex. Usually they cannot be used directly. The inner pattern can only be found by effective evaluation. Based on the characteristics of complex combat simulation results, this paper utilizes the Principal Component Analysis method to reduce the dimension of data analysis and explore the relationship between the system input data and output data. The key influence factors of the measure of force effectiveness is found. The application verification is done by typical examples. The selected principle factors are explored in …
Intelligent Sandbox For Geography Teaching, Xianli Ji, Yulong Ding, Shuanghua Yang
Intelligent Sandbox For Geography Teaching, Xianli Ji, Yulong Ding, Shuanghua Yang
Journal of System Simulation
Abstract: An intelligent sandbox geography teaching demonstration system combining the augmented reality technology and related geographic knowledge is designed and implemented on the Unity3D platform. The system has functions of deep data processing, projection matrix transformation, terrain rendering, fluid simulation, physical characteristics, adding entities along the slope, changes in sunshine angle, gesture interaction, etc., which can render virtual terrain and scene in real time according to the change of the sandbox. Students can interact with the system in projection correction, adding entities, seasonal switching, weather effects, disaster simulation and other scenarios and learn knowledge points such as contour lines, …
Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi
Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi
Journal of System Simulation
Abstract: In order to further improve the vehicle positioning accuracy and adaptability to the environment, V2X (vehicle to everything) communication network is used for auxiliary positioning to enhance the GPS/DR integrated positioning. Firstly, the three subsystems of GPS, DR and V2X auxiliary positioning independently perform filtering estimation, and then a better estimation from the GPS and V2X auxiliary positioning is selected to conduct global optimal fusion with DR, and finally the three sub-filters are reset with the feedback of the optimal result. Simulation results show that when the GPS signal is seriously affected by multipath interference, the positioning performance of …
An Application Of Deep Learning Models To Automate Food Waste Classification, Alejandro Zachary Espinoza
An Application Of Deep Learning Models To Automate Food Waste Classification, Alejandro Zachary Espinoza
Dissertations and Theses
Food wastage is a problem that affects all demographics and regions of the world. Each year, approximately one-third of food produced for human consumption is thrown away. In an effort to track and reduce food waste in the commercial sector, some companies utilize third party devices which collect data to analyze individual contributions to the global problem. These devices track the type of food wasted (such as vegetables, fruit, boneless chicken, pasta) along with the weight. Some devices also allow the user to leave the food in a kitchen container while it is weighed, so the container weight must also …
Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems, Xia Lu, Mingzhi Zhang, Jingyu Yang, Changliang Xiao
Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems, Xia Lu, Mingzhi Zhang, Jingyu Yang, Changliang Xiao
Journal of System Simulation
Abstract: Based on the analysis of the capability of the operational system-of-systems (OSoS) and its relationship, the capability relationship description function is constructed, and the spreading effect and emerging effect are explained. The super-network theory is used to establish the ‘entity-capability’ network model and its characteristic parameters. For measuring the emerging effect of the capability of OSoS, the capability contribution domain model and the capability emergence domain model are constructed. Taking the air defense system-of-systems evolution analysis as an example, the capability relationship model of OSoS is verified to provide a qualitative and quantitative method for constructing the evolution set …
Concurrent Conflict Control Method Of "Multi-Rights+Operation Queues" Based On Cpn Tools, Zhili Zhang, Yunrong Zhang, Shixin Ma
Concurrent Conflict Control Method Of "Multi-Rights+Operation Queues" Based On Cpn Tools, Zhili Zhang, Yunrong Zhang, Shixin Ma
Journal of System Simulation
Abstract: There are problems with concurrent control methods such as operation rights + timestamp, for example, the role of each maintenance worker cannot be played. The concurrent control method of multiple rights and operation queues can solve this problem. The working principles of the important function modules of this method are discussed, and the operation method of the process flow chart and colored Petri net is given. The data are simulated by the CPN Tools for the entire process. Simulation results show that this method can ensure the operation fairness of the low maintenance personnel, and make every maintenance staff …
Treadmill Speed Coordination Control For Lower Limb Rehabilitation Training Robot, Li Feng, Zhizheng Wu, Hou Wei, Xiaofei Qin
Treadmill Speed Coordination Control For Lower Limb Rehabilitation Training Robot, Li Feng, Zhizheng Wu, Hou Wei, Xiaofei Qin
Journal of System Simulation
Abstract: In the course of active exercise training for patients with lower limb rehabilitation robots, a treadmill speed coordinated control method based on acceleration suppression is proposed to prevent secondary damage to patients caused by muscle spasms. The mathematical model of treadmill is established by means of system identification. Based on the H2 optimal design method and the continuous time system switching theory, the treadmill speed PI controller with acceleration suppression is designed. The simulation results show that the controller can not only reduce the acceleration of the treadmill, but also keep the speed of the treadmill …
Research On Real-Time Simulation Platform Architecture Based On Multi-Core Scheduling, Jiahui Tong, Liu Jin, Jinyuan Zhang, Yongxiang Zhang
Research On Real-Time Simulation Platform Architecture Based On Multi-Core Scheduling, Jiahui Tong, Liu Jin, Jinyuan Zhang, Yongxiang Zhang
Journal of System Simulation
Abstract: With the development of weapon equipment and support training system, new requirements are added to architecture of simulation platform. Considering the overall architecture, hardware architecture and software system, combining the requirement of experiment and training, a real-time simulation platform architecture with network and distributed system characteristics is proposed. The platform provides embedded computing nodes. The computing nodes and network are strong real-time.
Control Method Of Unified Svpwm For Three-Phase Four-Switch Fault-Tolerant Apf Based On Inductor Current, Jianfeng Yang, Jiang Hui, Tianqi Zhou
Control Method Of Unified Svpwm For Three-Phase Four-Switch Fault-Tolerant Apf Based On Inductor Current, Jianfeng Yang, Jiang Hui, Tianqi Zhou
Journal of System Simulation
Abstract: The algorithm of conventional space vector PWM for three-phase four-switch fault-tolerant APF chooses different coordinate transformation control algorithm based on the fault location selection of phase A, phase B, phase C. The calculation process involves a lot of coordinate operation, and, is not conducive to the fault switching. A unified SVPWM for three-phase four-switch Fault-tolerant active power filter based on inductor current is presented. The traditional SVPWM control needs complex coordinate transformations. The simplified algorithm takes the inductor current change as the control target, doesnot complicated coordinate transformation calculation, and the form of the calculation is unified, which is …
A Just-In-Time Learning Soft Sensing Modeling Method Based On Bayesian Gaussian Mixture Model, Qi Cheng, Weili Xiong
A Just-In-Time Learning Soft Sensing Modeling Method Based On Bayesian Gaussian Mixture Model, Qi Cheng, Weili Xiong
Journal of System Simulation
Abstract: For some time-varying industrial processes with non-Gaussian properties, the model established by the general soft-sensing method is difficult to meet the accuracy requirement. To solve the above problems effectively, a JITL soft sensor modeling method (BGMM) is proposed based on Bayesian Gaussian Mixture Model. For the given training sample set, the number of components of the Gaussian mixture model is optimized by Bayesian Information Criterion (BIC); For new test samples, Gaussian Process Regression (GPR) model is established by using the BGMM similarity criterion for the training samples to find out the most similar set;The model is used to predict …
Multi-Agent Simulation Model Of Urban Safety Livability Change, Lihu Pan, Xiaowen Li, Shipeng Qin, Yingjun Zhang, Huimin Yan
Multi-Agent Simulation Model Of Urban Safety Livability Change, Lihu Pan, Xiaowen Li, Shipeng Qin, Yingjun Zhang, Huimin Yan
Journal of System Simulation
Abstract: Urban livability is an important factor for the decision of modern urban construction. Based on the multi-agent modeling theory, a model for the change of urban livability is proposed, so as to analyze the present situation and changing trend of urban livability in complex urban system. Taking safety as an example, five environmental indicators of public security, fire protection, traffic, emergency response and residence are given. The interactive dynamic feedback mechanism between residents' decision-making behavior and urban safety livability under the influence of the five indicators and policies is provided, and the residents' decision-making simulation of urban safety livability …
Teaching And Training Platform For Virtual Equipment Of Replenishment Based On Web3d, Li Nan, Shiyun Zhang
Teaching And Training Platform For Virtual Equipment Of Replenishment Based On Web3d, Li Nan, Shiyun Zhang
Journal of System Simulation
Abstract: In view of the problem that military simulation training system can't maximize to the advantages of virtual reality simulation technology because of the limitations of regional, space and training ability, this paper developed a virtual equipment training and teaching platform. It made a large-scale compression for 3D models and map data. Meanwhile it made streaming and multithreading download of compressed data through the HTTP protocol. It dealt with the high concurrent access on network by using the balanced load. So that it has broken the limitations of regions space and training ability of the previous military simulation training system, …
Image-Based Localization Of User-Interfaces, Riti Gupta
Image-Based Localization Of User-Interfaces, Riti Gupta
Master's Projects
Image localization corresponds to translating the text present in the images from one language to other language. The aim of the project is to develop a methodology to translate the text in image captions from English to Hindi by taking context of the images into account. A lot of work has been done in this field [22], but our aim was to explore if the accuracy can be further improved by consideration of the additional information imparted by the images apart from the text. We have explored Deep Learning using neural networks for this project. In particular, Recurrent Neural Networks …
Low-Cost Hardware-In-The-Loop Flight Simulation System, Chuanyan Tian, Junzhao Hu, Jikui Liu, Qianlong Yang
Low-Cost Hardware-In-The-Loop Flight Simulation System, Chuanyan Tian, Junzhao Hu, Jikui Liu, Qianlong Yang
Journal of System Simulation
Abstract: Hardware-in-the-loop simulation is an effective way and experimental method to evaluate and verify the performance of the aircraft system. To satisfy the requirements of real-time, scalability, high reliability simulation of a certain aircraft control system, a new design of low-cost hardware-in-the-loop real-time scene simulation system consisted of IPC, DSP, three-axis turntable, steering engine and visual simulation computer was put forward. Real-time simulation system software composed by flight control simulation module, aircraft movement simulation module and scene simulation module was implemented, and it resolved the difficulties in real-time, data synchronization, multiple node communication of simulation system. Comparison with …
Design And Implementation Of Parallel Central Securities Trading Simulation System, Guangbin Xu
Design And Implementation Of Parallel Central Securities Trading Simulation System, Guangbin Xu
Journal of System Simulation
Abstract: Chinese securities market has become a worldly very important finance pricing center. As the core facilities of the markets, the central securities trading systems of stock exchanges have been upgraded continually. Both Shanghai and Shenzhen Stock Exchanges currently adopt the third-generation central securities trading systems to support respective business requirements, which are both based on the advanced parallel processing paradigm. To support various securities trading simulation experiments of the Chinese markets, referring to NGTS, the central trading system currently-used by Shanghai Stock Exchange, a PC-based simulation system is designed and implemented, which can support full market data distribution and …
Review Of Evaluation Methods Of Contribution Rate To System Of Systems, Xiaojing Yin, Xiaofeng Hu, Rong Ming, Haiyang Liu, Yongli Yang
Review Of Evaluation Methods Of Contribution Rate To System Of Systems, Xiaojing Yin, Xiaofeng Hu, Rong Ming, Haiyang Liu, Yongli Yang
Journal of System Simulation
Abstract: The warfare is the encounter of system of systems (SoS). The evaluation on the contribution rate to SoS is of great importance to the development of operational SoS as a measure of the evaluating units’ contribution to SoS. In this paper the basic concept and classification of the contribution rate to operational SoS are elaborated; its connotation and nature are analyzed; and the current research status and the technical difficulties in this research field are summarized. The development trend is predicted, which provides a useful reference for relative research.
Characteristic Index Digging Of Combat Sos Capability Based On Machine Learning, Yongli Yang, Xiaofeng Hu, Rong Ming, Xiaojing Yin, Wenxiang Wang
Characteristic Index Digging Of Combat Sos Capability Based On Machine Learning, Yongli Yang, Xiaofeng Hu, Rong Ming, Xiaojing Yin, Wenxiang Wang
Journal of System Simulation
Abstract: Aiming at the two difficulties in characteristic index digging of combat system of systems (CSoS), namely operation data generation and digging method selection, this paper proposes a new digging method, that is, using the simulation testbed to generate operation data, then adopting the machine learning to dig characteristic index. Two methods of characteristic index digging based on machine learning are researched: (1) the method based on network convergence, divides the communities for fundamental indexes based on their relationship, and obtains the characteristic indexes by principal component analysis (PCA); this method is applied to dig the characteristic indexes of …
Reaction Force Of Ship Bearing Including Multi Factors, Shengdong Zhang, Xiuying Yang
Reaction Force Of Ship Bearing Including Multi Factors, Shengdong Zhang, Xiuying Yang
Journal of System Simulation
Abstract: Since the variety and complexity of the stern bearing's operational environment and working conditions, the stern bearing load has uncertainty characters. The mathematical model of uncertainty reaction force of bearing is established including multiple random factors by using the stochastic theory; the uncertainty calculation method is formulated; and the calculation example is put forward to verify the validity of the theoretical model. The influence law among multi factors such as hull deformation, propeller hydrodynamic vertical force and bearing wear is revealed for the uncertainty reaction force of ship stern bearing by taking a large container ship as example. …