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Articles 7471 - 7500 of 11267
Full-Text Articles in Computer Sciences
Fault Spatial-Temporal Detecting And Diagnosis For Power Grid Based On Wavelet Analysis, Li Gang, Pengcheng Xu, Longmei Han
Fault Spatial-Temporal Detecting And Diagnosis For Power Grid Based On Wavelet Analysis, Li Gang, Pengcheng Xu, Longmei Han
Journal of System Simulation
Abstract: The monitoring data of modern power system have strong intrinsic relationship and its abnormal and fault signal is often hidden in big data sets, so the traditional Fourier transform analysis methods don't have the ability of time domain localization analysis. A new method based on time-frequency characteristics of wavelet analysis was proposed for singularity detection of transient signals in power system, which through decomposing the multi-scale one-dimensional transient signal wavelet, extracted high frequency and low frequency coefficient, and got fault time information while the signal de-noising; then based on the singularity detection of modulus maxima, the fault location information …
Attitude Control Of Vtol Hexrotor Aircraft Based On Lyapunov Theory, Xuemin Yuan, Kecai Cao
Attitude Control Of Vtol Hexrotor Aircraft Based On Lyapunov Theory, Xuemin Yuan, Kecai Cao
Journal of System Simulation
Abstract: The considered hexrotor is a symmetric VTOL-UAV with six rigid mono-directional propellers, and the interval between each propeller is 60°. In order to overcome the inherent geometric singularity of Euler angle description, quaternion representation was used to model. The effect of gyroscopic torques and reactive torques was taken into account when simplifying our model. An approach for hexrotor was proposed in which two nearly equivalent control laws were used to obtain asymptotic stability of attitude angles and attitude angular velocity of the hexrotor UAV. Simulation results emphasize the effectiveness of the proposed control scheme.
Optimized Composite Input Shaping Based On Residual Oscillation Suppressing, Huasen Liu, Wenming Cheng
Optimized Composite Input Shaping Based On Residual Oscillation Suppressing, Huasen Liu, Wenming Cheng
Journal of System Simulation
Abstract: The optimized input shaping control method was proposed to reduce the under actuated overhead crane’s oscillation caused via the inertia force. The dynamic model of the overhead crane was proposed according to the physics structure of the crane. The probability distribution function of the crane’s swing frequency was obtained. The optimized multi-model composite based on the probability distribution function of the crane’s swing frequency was used as the feed-forward input to increase the frequency of robustness. Simulation results indicate that the optimized multi-model composite input shaping can reduce the oscillation the overhead crane.
Modeling And Quaternion Control Of X-Type Quadrotor, Shaobin Ding, Changshi Xiao, Jingen Liu, Yuanqiao Wen
Modeling And Quaternion Control Of X-Type Quadrotor, Shaobin Ding, Changshi Xiao, Jingen Liu, Yuanqiao Wen
Journal of System Simulation
Abstract: A comprehensive dynamic model of X-type quadrotor was established and simulated. Different from other widely used models that usually treated quadrotor as a single-rigid-body system, the rotors, propellers and the aircraft body were treated as a multi-rigid-body system in the proposed model. The 3D model wireframe was constructed using Solidworks and the important inertial parameters were extracted from the design data. Two types of multi-channel-double-loop vector PD flight controller were designed and fine tuned, one was based on quaternion feedback and the other was based on Euler angle feedback. The close-loop systems were simulated on Matlab/Simulink. The simulation results …
Research On Bifurcation Of A Class Of Cortical Eeg Model With Time Delay, Chunsheng Li, Zhang Xue
Research On Bifurcation Of A Class Of Cortical Eeg Model With Time Delay, Chunsheng Li, Zhang Xue
Journal of System Simulation
Abstract: The bifurcation characters of a cortical-model with bidirectional time delays were studied, proposed by Robinson, et al. before. Considering transmitting delay between excitatory and inhibitory populations, the stability, bifurcation characters and bifurcation region were achieved. The relationship of cortical potential spectrum density and transmit delay was analyzed when white noise was introduced. Result shows that time delay between different population acts as an important role of model’s dynamic characters and stability, and numerical simulation verifies the theoretical analysis. This research shows the importance of transmit delay in cortical-model, and provides theoretical illustration for further research of epileptic …
Pinning Control For Synchronization Of Hr Biological Neural Networks:Linear Active Disturbance Rejection Approach, Wei Wei, Wen Jiao
Pinning Control For Synchronization Of Hr Biological Neural Networks:Linear Active Disturbance Rejection Approach, Wei Wei, Wen Jiao
Journal of System Simulation
Abstract: Synchronization of a complex network whose nodes are Hindmarsh-Rose biological neurons was considered. Coupling strengths of the whole network were always taken as the tuning variables. However, coupling strengths may not be changeable. In addition, synchronization was affected by different disturbances. In view of above factors, pinning control was utilized and linear active disturbance rejection control (LADRC) was designed. By this approach, synchronization was achieved in according to synchronization errors of the controlled nodes and the couplings among nodes. In the simulations, coupling strength was fixed at a relative small value, and no external disturbance case …
Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao
Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao
Journal of System Simulation
Abstract: In order to explore the internal relationship between Command Information System (CIS) network and combat system, a layered combat system model was built, including organizational relationship layer, information interaction layer and communication link layer. Conception of the system coupling intensity was defined, which reflected the influence of network architecture to combat system. An optimization model of CIS network architecture aimed at maximizing the ratio of system coupling intensity to cost coefficient was built. A route programming genetic algorithm was designed and applied into simulation of Air Offensive Campaign (AOC) system network. The results show that the model and algorithm …
Research On Damage Ratio Considering Target-Location Error, Xieen Song, Weidong Song, Ma Qian
Research On Damage Ratio Considering Target-Location Error, Xieen Song, Weidong Song, Ma Qian
Journal of System Simulation
Abstract: Different computing methods for target-location error have much influence on the result of cluster target damage ratio. In order to find a suitable method, based on existing damage ratio analytical method and error combination method, several new ideas, such as error synthesis method, random target method, were proposed. By analyzing specific examples and comparing the results, the accuracy and application conditions for each method were reached. Random target method was proved to be the best on the whole; error combination method was optimal when it could meet the conditions of analytical method and data error combination; target-location …
Simulation On Spontaneous Combustion Of Goaf Under “U” Type Ventilation And Improvement, Tiejun Cui, Yundong Ma, Laigui Wang
Simulation On Spontaneous Combustion Of Goaf Under “U” Type Ventilation And Improvement, Tiejun Cui, Yundong Ma, Laigui Wang
Journal of System Simulation
Abstract: To understand the change of temperature and heating area, in different time, in the process of spontaneous combustion of goaf under “U” type ventilation, the model was proposed based on the theory of particle flow. The three basic problems of Oxygen equivalent flow and reaction with the coal were solved, and implemented with FISH. According to the actual working condition, the heating process was simulated, which could be divided into three stages, and the characteristics of the six warming development time were analyzed, finding that the heating area change was related with the oxygen flow in the process of …
From The Tree Of Knowledge And The Golem Of Prague To Kosher Autonomous Cars: The Ethics Of Artificial Intelligence Through Jewish Eyes, Nachshon Goltz, John Zeleznikow, Tracey Dowdeswell
From The Tree Of Knowledge And The Golem Of Prague To Kosher Autonomous Cars: The Ethics Of Artificial Intelligence Through Jewish Eyes, Nachshon Goltz, John Zeleznikow, Tracey Dowdeswell
Research outputs 2014 to 2021
This article discusses the regulation of artificial intelligence from a Jewish perspective, with an emphasis on the regulation of machine learning and its application to autonomous vehicles and machine learning. Through the Biblical story of Adam and Eve as well as Golem legends from Jewish folklore, we derive several basic principles that underlie a Jewish perspective on the moral and legal personhood of robots and other artificially intelligent agents. We argue that religious ethics in general, and Jewish ethics in particular, show us that the dangers of granting moral personhood to robots and in particular to autonomous vehicles lie not …
Modeling And Simulation On Influence Of Complex Network Nodes Based On Data Field In, Chenxi Shao, Xiaoqi Chen, Xingfu Wang, Fuyou Miao
Modeling And Simulation On Influence Of Complex Network Nodes Based On Data Field In, Chenxi Shao, Xiaoqi Chen, Xingfu Wang, Fuyou Miao
Journal of System Simulation
Abstract: Research on the influence of complex network nodes is an important part of data mining. Mining the influential nodes in complex networks not only has important academic significance, but also helps to suppress the outbreak of epidemics, control the spread of rumors, and promote e-commercial products and so on. By selecting the Mixed Degree Decomposition (MDD) value of each node as its mass, the complex network is abstracted into a data field, the influential nodes are identified by combining the data field model, and some well-known centralities are compares with. The classical Susceptible-Infected-Recovered (SIR) epidemic model is …
Foot Measurement Based On Deep Alignment Network, Shi Min, Hanqin Yao, Chunpeng Li, Liangchen Chen
Foot Measurement Based On Deep Alignment Network, Shi Min, Hanqin Yao, Chunpeng Li, Liangchen Chen
Journal of System Simulation
Abstract: Foot measurement plays an important role in many areas. Limited by equipment and algorithms, three-dimensional foot measurement cannot make a convenient and quick foot measurement. A method is proposed by combining the image measurement with the deep neural network. Based on the physiological structure analysis of foot, key points are extracted and the measurement parameters are defined. During the key point detection of foot, the activation function and loss function of DAN (Deep Alignment Network) model is optimized, and a data acquisition method is defined based on the handheld camera. Foot key points are detected, and main parameters are …
Mobile-Phone-Oriented Stereoscopic Display And Interaction Framework For Cloud-Based Virtual Reality 3d Scenes, Jiazhe Liu, Chunyi Chen, Xiaojuan Hu, Weidong Liang, Qiwei Xing, Huamin Yang
Mobile-Phone-Oriented Stereoscopic Display And Interaction Framework For Cloud-Based Virtual Reality 3d Scenes, Jiazhe Liu, Chunyi Chen, Xiaojuan Hu, Weidong Liang, Qiwei Xing, Huamin Yang
Journal of System Simulation
Abstract: A VR application framework based on cloud computing is proposed to overcome the difficulty of interactively generating high quality 3D scene images on mobile phones. We combine the cloud-based rendering and the VR technology. Our framework uses a mobile browser as a client, transmits the image data by the video block stream, processes the interactive data by the anti-jitter algorithm, and has accomplished the web-based lightweight rendering. The framework reduces the cost of data visualization on mobile phone and avoids the need of installing a plug-in package. The experimental results show that our display rate could be improved to …
Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li
Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li
Journal of System Simulation
Abstract: Aiming at the operators being not able to move freely in the limited capture area of optical motion capture devices, the maintenance operation control of virtual human in Collaborative Virtual Maintenance is studied. The lower limb action of operators is captured by the optical motion capture devices, and the wide range motion of the virtual human is controlled according to the real-time recognition results. In order to control the hand motion process of the virtual human in the maintenance operation, the hand interaction of the virtual human is analyzed and an intelligent assistant method for the maintenance operations based …
Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu
Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu
Journal of System Simulation
Abstract: In order to improve the cooperative control ability of the multi Intelligent ground platform and to adapt to the trend of intelligent war in the new situation, a multi intelligent ground platform cooperative Control simulation system based on jade and world wind Java is constructed. Based on multi-agent theory, the simulation model of intelligent ground platform is build. Based on JADE, the cooperative Control simulation platform is constructed. The task allocation mechanism is optimized by the particle swarm optimization algorithm. The simulation results show that the cooperative Control simulation platform has good robustness and flexibility. The optimized task allocation …
A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang
A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang
Journal of System Simulation
Abstract: Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is …
Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu
Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu
Journal of System Simulation
Abstract: In visual target tracking and localization, the target could not be located due to the lack of features or the severe occlusion. Aiming at this, an algorithm based on confidence evaluation of neighboring targets is designed. In the tracking process, by detecting and extracting the marker features of neighboring targets, and combining the Hamming distance of each feature marker and the normalized result with respect to other markers as well as the probability of occurrence of each marker, the final confidence of each marker is obtained. The marker with the maximum confidence is to used determine the target …
Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo
Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo
Journal of System Simulation
Abstract: An interactive technique that can generate the Dongba art paintings from 2D images is proposed. A Dongba painting line drawing system is designed and developed which adopts the interactive selection method to obtain the smooth and continuous line drawings. To produce the foreground image of the Dongba styles, a multi-frequency noise integral convolution algorithm is utilized to simulate the block texture color of the Dongba paintings. Texture synthesis algorithm is used to generate the image of large sizes from samples to simulate the background image. Based on the layer-mapping technique and local color transmission methods, the final artistic style …
Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong
Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong
Journal of System Simulation
Abstract: The three-dimensional video fusion system needs the calculation of video and graphics, and requires high machine performance. The existing commercial evaluation tools lack the corresponding considerations, which may cause the inconsistency of a machine's performance from the score. A machine performance evaluation method for three-dimensional video fusion is proposed and an evaluation tool MRMark is implemented. Several sets of standard 3D test scenes are designed according to the characteristics of the video fusion system, the statistics on the frame rate, the number of video channels played and the other parameters during the test are collected to calculate the …
Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei
Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei
Journal of System Simulation
Abstract: Virtual reality technology is a new way for the highway BIM to upgrade from 2D to 3D. Based on the analysis of the characteristics of highway engineering and the travel needs of traffic participants, five methods are proposed to perceive highway BIM and evaluate the engineering design results of different road users, including virtual driving, virtual flight, virtual riding, virtual walking and augmented reality. These methods provide technical and tool support for the people-oriented road BIM perception, engineering evaluation, collaborative work, and design optimization. The experiment tests show that virtual reality connects the BIM models with human perception, …
Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong
Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong
Journal of System Simulation
Abstract: In order to improve the accuracy and speed of registration between two groups of 4D-CT images under different physiological activities, based on FFD model of multi-resolution B-spline, a registration algorithm using ICP to optimize the model is proposed. The ICP algorithm is added before the traditional b-spline to realize the point cloud registration between two groups of 4D-CT images: the appropriate model is generated from the two segmented groups of 4D-CT images, then the two groups of point clouds in the model are registered with ICP. The improvement rates of similarity measurement at level 1, level 2 and …
Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan
Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan
Journal of System Simulation
Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making …
Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min
Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min
Journal of System Simulation
Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …
An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang
An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang
Journal of System Simulation
Abstract: The spatiotemporal consistency of multi-modal haptic and immersive visual feedback, as well as the integration of hardware devices in the existing VR software framework, restricts the rapid development of visuo-haptic fusion scenarios in different industries such as medical, business, and entertainment. In order to tackle this problem, an adaptable VR software framework combining multi-modal haptic and immersive visual display is proposed. To meet the different requirements of visual rendering, haptic rendering and hardware control, the double-layer and three-layer architectures are devised according to the different precision requirements of visuo-haptic fusion feedback. Experimental results show that the framework has the …
Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan
Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan
Journal of System Simulation
Abstract: In order to promote the construction and verification of the finite element models of human thorax and non-lethal projectiles in the field of blunt ballistic impact, the detailed anatomical and analogous structures of the thorax finite element models are combed and five typical of them are compared and verified. The construction and verification methods of the typical non-lethal projectile models are refined and the impact injury assessment methods are summarized. The next research recommendations are given. In order to improve the accuracy and biological fidelity of the thorax model, it is necessary to establish the physical and finite …
Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang
Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang
Journal of System Simulation
Abstract: Aiming at the problems that the traditional leaf recognition is susceptible to the environmental interference and is difficult to realize the multi-leaf real-time recognition in complex background, a real-time leaf recognition method based on CNN network and multi-task loss function is proposed. The CNN network is used to the extract image feature maps and input them into RPN network to generate regional proposals. On the basis of the feature maps and region proposals, the feature map is proposaled, the leaf classification and bounding box regression are performed respectively, and the leaf classification and position of the leaf prediction box …
Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu
Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu
Journal of System Simulation
Abstract: In the anomaly detection of hyperspectral images (HSIs), aiming at the difficulty of distinguishing the abnormal target from the background and the low accuracy of background prediction, a new HSI anomaly detection algorithm based on background sparse reconstruction is proposed. An online dictionary learning method is used to estimate the background spectral dictionary. The estimated background image is sparse reconstructed by the learning dictionary. The estimated background image is subtracted from the origin image to get the residual image. The anomaly detection is achieved by using the local RX detector to traverse the residual image. The effectiveness of the …
Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang
Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang
Journal of System Simulation
Abstract: The depth maps captured by a small depth camera on mobile devices suffer from the problem of severe holes. The Guided Generative Adversarial Network (Guided GAN) based on deep learning is proposed to restore human depth maps with above problems. The high-precision human segmentation features and depth class features are extracted from the monocular RGB image by the guider based on the stacked hourglass network. The holes in the human depth maps are filled by the special generator under the guidance of the extracted human features. In order to get the more realistic results, the discriminator is introduced …
Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao
Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao
Journal of System Simulation
Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method …
Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia
Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia
Journal of System Simulation
Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. …