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Articles 9691 - 9720 of 11624

Full-Text Articles in Artificial Intelligence and Robotics

Vibration Performance Prediction And Reliability Analysis For Bearings, Xintao Xia, Chang Zhen, Yunfei Li Jan 2019

Vibration Performance Prediction And Reliability Analysis For Bearings, Xintao Xia, Chang Zhen, Yunfei Li

Journal of System Simulation

Abstract: The bearing vibration signal contains a large amount of information involved in degradation of spindle system. The adding-weight one-rank local-region method is used to predict the vibration time series for bearing, and the forecasting error can be obtained by comparing and analyzing the prediction values with the actual values so as to verify the feasibility of the model. The prediction results of the future state for the bearing are processed by grey bootstrap method, and the vibration thresholds are given by the requirements of the spindle system on the bearing vibration performance. The performance reliability prediction of the bearing …

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Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu Jan 2019

Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu

Journal of System Simulation

Abstract: This paper studies the formation mechanism of cutting force of SiCp / Al composite based on the processing parameters from the turning experiment, and explains the effect of cutting parameters on the cutting force of SiCp/Al composite such as cutting speed and cutting depth. To further investigate the influence of cutting parameters on cutting force, this paper conducts cutting force simulation of SiCp/Al composite based on ABAQUS, and verifies the accuracy and feasibility of the simulation by comparing with turning experimental results. The S/N ratio and variance of cutting force are analyzed using Taguchi methods. The results show that …

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Public Opinion Evolution And Intervention From Perspective Of Public’S Social Responsibility, Qinghua Song, Jianhong Chen Jan 2019

Public Opinion Evolution And Intervention From Perspective Of Public’S Social Responsibility, Qinghua Song, Jianhong Chen

Journal of System Simulation

Abstract: According to the theory of planned behavior and stages of information spreading behavior, public opinion evolution mechanisms are analyzed from the perspective of public’s social responsibility (SR). Stability of public opinion evolution system is influenced by four kinds of information spreading bodies. Corresponding information spreading paths interact each other while they are relatively independent, which makes stability of the four paths show complexity features. Publishing positive information timely, decreasing population proportion of group ignoring SR and decreasing population proportion of group lack of SR are effective measures of reducing intensity of public opinion evolution and severity of public opinion …

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Modeling For Security Protection Capability Of Information System Based On Cpn, Qiangjun Chen, Mingqing Zhang, Hongshan Kong, Xiaohu Liu, Lianjie Shao Jan 2019

Modeling For Security Protection Capability Of Information System Based On Cpn, Qiangjun Chen, Mingqing Zhang, Hongshan Kong, Xiaohu Liu, Lianjie Shao

Journal of System Simulation

Abstract: Modeling plays an important role in assessment for security protection capability. Oriented to the features that evaluation has many methods which update quickly, the analysis frame is proposed based on detect, analyse and respond. Aimed at the problems that it is difficult to model the intelligent learning and coordination process for protective device, analysis model is built based on CPN. The colors of message color sets represent the different properties of events. Detect, analysis and respond components which represent different process of security protection capability are defined. Two theorems are proved, and model complexity is analyzed. The usability …

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Research On Performance Validation Of Aircraft Based On Air-Table, Haolong Zhang, Liao Xin, Bin Li, Wenshu Wei, Pei Yin, Junpeng Hui Jan 2019

Research On Performance Validation Of Aircraft Based On Air-Table, Haolong Zhang, Liao Xin, Bin Li, Wenshu Wei, Pei Yin, Junpeng Hui

Journal of System Simulation

Abstract: Aiming at the main issues in performance validation of aircraft, this paper applied air-bearing test technology into the area of performance validation of aircraft, designed and established performance validation system of aircraft based on air-bearing. A kind of theory of space scale model was proposed and the mapping relation between air-bearing space and real space was solved. This research provided a new technical approach for performance validation of aircraft. This system has been successfully applied to a kind of aircraft simulation. The Effectiveness and accuracy are verified.

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Numerical Simulation And Experimental Study On The Rolling Process Of Polar Particles, Yanjun Xiao, Kong Xuan, Wang Zhao, Zonghua Zhang, Yanchun Xiao Jan 2019

Numerical Simulation And Experimental Study On The Rolling Process Of Polar Particles, Yanjun Xiao, Kong Xuan, Wang Zhao, Zonghua Zhang, Yanchun Xiao

Journal of System Simulation

Abstract: The densification process of electrical paste particles during the process of battery pole piece rolling is studied. The mechanism of the pole rolling is analyzed theoretical;the basic parameters of the electric slurry particles in the movement are described; the force equation is established; and the basic conditions for the stable rolling are analyzed. The dynamic simulation is carried out by using relevant parameters, and the results are verified by theoretical analysis, numerical simulation and experimental verification. The results show that there is a certain relationship between the relative density of the electrode paste and the thickness of the …

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Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen Jan 2019

Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen

Journal of System Simulation

Abstract: Aiming at dealing with the problem of natural image matting, this study focused on a closed-form solution to image pairs matting. For given two images and their corresponding trimaps, the affinity matrix between the two images is calculated. The matting Laplacian which characters an image to co-matting Laplacian which characters a pair of images is generalized. The alpha mattes of image pairs were obtained by optimizing the energy function which derived from co-matting Laplacian. To validate the approach, the experiments on several datasets are conducted. The results demonstrate that the method can achieve higher quality and is suitable …

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Vital Signs Measurement Based On High-Frequency Linear Frequency-Modulated Continuous Wave, Tianrun Wang, Su Zhong, Liu Ning Jan 2019

Vital Signs Measurement Based On High-Frequency Linear Frequency-Modulated Continuous Wave, Tianrun Wang, Su Zhong, Liu Ning

Journal of System Simulation

Abstract: Aiming at the inherent limitations and inconveniences of the contact and wearable vital signs measurement tools, and low accuracy of the low frequency mmWave, a non-contact vital signs measurement method based on high-frequency frequency-modulated continuous wave (FMCW) is put forward. By mixing the FMCW’s transmitting and receiving waves, the difference frequency signals and its center frequency are obtained. The distance and speed information of the target is derived from the center frequency. By comparing the heart rate test with two hand rings, it is found that the maximum error is 6.7% and the maximum standard deviation is …

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Application Of Improved Zupt In Pedestrian Self-Navigation, Tiansheng Wang, Li Qing Jan 2019

Application Of Improved Zupt In Pedestrian Self-Navigation, Tiansheng Wang, Li Qing

Journal of System Simulation

Abstract: In view that the currently traditional Zero Velocity Update (ZUPT) can theoretically correct the cumulative error, while the state error variable of 3-dimensional velocity, position and attitude is measured by the model which is established by the observations of 3D velocity error with poor stability and low precision results, an 18-dimensional zero-velocity update algorithm is proposed. The algorithm uses state information of adjacent time to calculate state observations that cannot be directly observed in the zero-velocity state, and then uses the Kalman filter to optimally estimate all state errors. To verify the accuracy of the improved ZUPT, the experiments …

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Fault Diagnosis Of Rolling Bearing Based On Improved Extreme Learning Machine, Tiantian Wang, Wang Yan, Zhicheng Ji Jan 2019

Fault Diagnosis Of Rolling Bearing Based On Improved Extreme Learning Machine, Tiantian Wang, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: According to the parameter-dependent characteristics of the wavelet kernel extreme learning machine, which make the effect of the rolling bearing fault classifier model poor, a fault classification method based on improved grey wolf optimizer algorithm for optimizing wavelet kernel extreme learning machine was proposed. The method combined the variational mode decomposition and singular value decomposition to extract fault signal characteristics. The opposition-based-learning and the levy flight strategy were introduced to improve the grey wolf optimizer algorithm, which enriched the population diversity of the grey wolf optimizer algorithm, improved the convergence speed of the algorithm and the ability to get …

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Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi Jan 2019

Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi

Journal of System Simulation

Abstract: With the development of unmanned ship technology, the intelligent control of ships is gradually used on large unmanned transport ships. In the course of navigation, ships are often disturbed by various nonlinear factors. Based on Norbbin nonlinear ship motion model, and adopting Lyapunov stability theorem to guarantee the stability of the closed-loop control system, a new sliding mode control method is proposed. Combined with backstepping, a backstepping sliding mode control method is designed to control the line track of ship on condition that the bound of disturbance is known. If the bound of disturbance is unknown, an adaptive …

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Reviews Of Project Organization Simulation Modeling Method Based On Computational Organization Theory, Jiwei Zhu, Li’Nan Zhou, Zhai Zhao Jan 2019

Reviews Of Project Organization Simulation Modeling Method Based On Computational Organization Theory, Jiwei Zhu, Li’Nan Zhou, Zhai Zhao

Journal of System Simulation

Abstract: Modeling simulation on project organization combines qualitative individual behavior, organizational behavior and task process, which effectively solves the backlog of tasks, rework and other issues caused by the organizational complexity. The modeling method based on the computational organization theory is divided into organization simulation modeling based on system dynamics, organization simulation modeling based on Agent and organization social network modeling based on SNA. The system dynamics simulates the business process from the perspective of macro organization system. The Agent organization model is able to emerge macro behaviors of organization though simulation of micro behaviors. The SNA method focuses on …

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Research Of 3d Urban Modeling Based On 2d Digital Maps, Jinlian Du, Xu Shuo, Fengchao Zhao Jan 2019

Research Of 3d Urban Modeling Based On 2d Digital Maps, Jinlian Du, Xu Shuo, Fengchao Zhao

Journal of System Simulation

Abstract: In order to reduce the cost of 3D urban modeling, an automatic modeling method for large-scale urban scene based on 2D digital maps is proposed. In this method, ground features are classified firstly according to the characteristic that different features in 2D digital map have different color, then an extraction algorithm is designed to obtain the ground feature’s boundary, and at the same time, a simplified algorithm based on distance measurement is designed for generating the boundary’s key points of ground features which construct the geometry information of the ground features in 2D digital maps. Finally, the generating rule …

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Apt-Oriented Dynamic Assessment Of Attack Behaviors, Jindong Wang, Haopu Yang, Hengwei Zhang, Li Tao Jan 2019

Apt-Oriented Dynamic Assessment Of Attack Behaviors, Jindong Wang, Haopu Yang, Hengwei Zhang, Li Tao

Journal of System Simulation

Abstract: The existing attack assessment methods cannot effectively deal with the long-term concealment in APT attack. Aiming at the accurate assessment of attack behaviors in APT attack, the APT-oriented dynamic assessment of attack behaviors which focuses on both the space dimension and the time dimension is proposed. The attack behaviors are correlated in the causality-diversion among the whole network system to discover the attack paths. The attack paths are modified in the time-diversion to get the dynamic causal attack traces. The attack traces are quantified based on CVSS standard. The experimental result shows that the proposed method can correctly …

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Optimizing Initial Cluster Centroids By Svd In K-Means Algorithm For Chinese Text Clustering, Yueming Dai, Minghui Wang, Zhang Ming, Wang Yan Jan 2019

Optimizing Initial Cluster Centroids By Svd In K-Means Algorithm For Chinese Text Clustering, Yueming Dai, Minghui Wang, Zhang Ming, Wang Yan

Journal of System Simulation

Abstract: In process of clustering with traditional K-means algorithm, it is difficult to identify the value of the number of clusters K and its clustering results are influenced by initial centers. It has the weakness of sensitivity to noise and instability. Meanwhile, to solve the problems for the high dimensions, sparse spatial and latent semantic structure of the text data, an algorithm for Chinese text clustering was proposed. This new algorithm uses the physical significance of Singular Value Decomposition (SVD) to firstly classify the data rough, and then uses K-means for text clustering. It applies SVD to decompose and keep …

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Simulation On Transaction Connection Strength Considering Price Preference, Zheng Wen, Yapeng Li, Yingying Ma Jan 2019

Simulation On Transaction Connection Strength Considering Price Preference, Zheng Wen, Yapeng Li, Yingying Ma

Journal of System Simulation

Abstract: Under LDP (Large-user Direct purchase) mode of power system, interests of the imbalance distribution exist in the power system in the long-term, due to the sensitivity of the larger user to the price to a certain extent. The impact of price preference on the transaction connection strength is analyzed, constructing the states of the interest distribution by using the Swarm simulation platform. The results of the simulation suggest that the higher the priority probability is, the more concentrated the power system becomes. It shows the non-natural monopoly caused by the market power. The results of this study can be …

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Optimization Of Tip Clearance Patterns Of Variable-Pitch Axial Flow Fan, Xuemin Ye, Jianguang Cui, Chunxi Li Jan 2019

Optimization Of Tip Clearance Patterns Of Variable-Pitch Axial Flow Fan, Xuemin Ye, Jianguang Cui, Chunxi Li

Journal of System Simulation

Abstract: The performance of the axial fan can be improved by optimization of blade tip pattern effectively. For a variable pitch axial flow fan of OB-84 type, the performance of the fan with uniform tip clearance and non-uniform tip clearance are simulated by using Fluent. The impacts of tip patterns on leakage flow field and loss distribution in the tip clearance are examined. The results reveal that when average tip clearance keeps constant, the total pressure rise and efficiency of the fan with convergent tip clearance patterns are higher than those of uniform tip clearance, and the domain of higher …

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Predator-Prey Dynamics-Based Optimization, Qiuqin Lu, Guangqiu Huang Jan 2019

Predator-Prey Dynamics-Based Optimization, Qiuqin Lu, Guangqiu Huang

Journal of System Simulation

Abstract: To solve the complex function optimization problem, a predator-prey dynamics optimization algorithm is proposed. The algorithm assumes that there are two species of predator and prey in an ecosystem. There is competition among the same species, the higher the population density, the more intense the competition, and then characteristics of populations are more likely to produce changes; strong populations are more likely to defeat weak populations when competition, and thus to obtain significant changes in their own characteristics. When predator populations eat prey populations, their characteristics also change. The competition operator, the predator-prey operator and the growth operator are …

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Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin Jan 2019

Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin

Journal of System Simulation

Abstract: The interoperability of command and control system with combat simulation system is an important and difficult problem in the construction of practical training environment. Aiming at the existing problems of semantic interoperability of language description, the battle management language, web ontology language and extensible markup language are studied. Based on ontology theory, the extensible battle management ontology language (XBMOL) is proposed. The syntax structure and semantic annotation of XBMOL are analyzed as an extension to the C-BML. The XBMOL 6W1H architecture is designed, and the extensible grammatical structure and semantic tagging are described. An example with XBMOL is given …

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Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen Jan 2019

Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen

Journal of System Simulation

Abstract: In cloud computing, there are cloud services of different qualities. How to choose credible and reliable service has become a key issue when users select services. Aiming at the shortcomings of the existing evaluation methods, a service clustering method based on attributes weighted cloud model is proposed. The users’ evaluation similarity with weighted Pearson correlation coefficient method based on service clustering is calculated. The users’ similarity combined with the index weights of users’ service selection is computed. The nearest neighbors are gotten. The recommendation trust of the services with the recommendation trust algorithm is obtained. Simulation results …

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Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu Jan 2019

Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu

Journal of System Simulation

Abstract: Since the traditional RFID positioning technology relies on the Internet and is especially constrained by the positioning distance in the process of positioning the tags with poor positioning accuracy, a novel positioning algorithm is proposed based on the ZigBee and improved VIRE algorithm. By using the proposed algorithm, ZigBee nodes are adopted to achieve the formation of network information transmission to replace the traditional wired communication. Gaussian-Kalman filter is used to deal with the sampling data of the limited preselected reference node signal strength. The algorithm adopts signal propagation loss model to calculate the RSSI values of virtual reference …

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Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao Jan 2019

Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao

Journal of System Simulation

Abstract: To simulate the process of ballistic missile defense and to study the effectiveness of defense, the M/M/N queueing system of missile defense was modeled and simulated. A queueing modeling framework was given to explain the meaning and distribution of related parameters. The M/M/N/N and M/M/N/C queueing models were proposed for short defense depth and long defense depth respectively, and the single target channel and the multiple target channels were distinguished in each model. How to deal with the different types of missile defense system based on equivalent replacement method were also considered. Simulation examples verified the main …

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De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang Jan 2019

De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang

Journal of System Simulation

Abstract: To overcome the shortage of losing partial important information of hard-threshold method with EEG signal de-noising process, a novel de-noising method based on the combination of measuring of medium truth degree (MMTD) and EEG is proposed. By decomposing noisy signals of wavelet transform, handling threshold of high-frequency wavelet coefficients in every layer, and reconstructing post-processing of the wavelet coefficients, the purpose of noise elimination can be guaranteed. Under different noise intensity, the experimental results show that the MAWH (MMTD and wavelet hard-threshold) method has perspective of lower RMSE and higher SNR compared to hard-threshold and soft-threshold.

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Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei Jan 2019

Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei

Journal of System Simulation

Abstract: Adopting the discrete event-triggered communication scheme (DETCS), the satisfactory fault-tolerant control of nonlinear networked control system (NNCS) under the sparse data transmission circumstance was studied. Based on the background of event-triggered sparse data transmission, a closed-loop model with actuator failure and actuator saturation was established. Based on Lyapunov-Krasovskii function and the safety degree definition proposed in this paper, a sufficient condition was presented for NNCS with the generalized H?/H2 performance under the case of actuator saturation and actuator failure, which was the contractively invariant set of fault-tolerance with α-safety degree, and …

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Soft Shadow Rendering Algorithm Based On Gpu’S Shadow Line, Shanxiao Gao, Wu Xian Jan 2019

Soft Shadow Rendering Algorithm Based On Gpu’S Shadow Line, Shanxiao Gao, Wu Xian

Journal of System Simulation

Abstract: To solve the problem of soft shadow rendering algorithm on shaded body surfaces, a new algorithm based on shadow lines which can render better soft shadow with less cost computation overhead is presented. GPU is used to create shadow lines which include starting point, ending point and shading value. The computer shader (CS) is used to amend the shading value by inverse distance weighting function. In the phase of shadow rendering, the shadow lines dataset is used to calculate the current pixel's shading value by trigonometric interpolation. Experimental result shows that the algorithm can solve the soft shadow …

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Modeling And Simulation On Delay Of Central Heating System For Temperature Prediction, Sun Tao, Shaoxiong Ji Jan 2019

Modeling And Simulation On Delay Of Central Heating System For Temperature Prediction, Sun Tao, Shaoxiong Ji

Journal of System Simulation

Abstract: Heating prediction is essential for energy saving. However, it is difficult to some extent because the central heating system (CHS) is nonlinear with large-scaled delay and other characteristics. Based on physical laws of the CHS, a novel model combining pruning algorithm with the least mean square is proposed to solve the problem of delay and predict the temperature. The model with the delay taking into consideration conforms to the law of thermal transmission. The pruning algorithm lowers the computational complexity. Simulations using gradient descent least squared regression (LSR), support vector machine (SVM), least-squared support vector machine (LS-SVM) …

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Simulation Of Two Stages-Variant Growth Evolution Model Of High-Speed Railway And Civil Aviation Compound Network, Xu Feng, Jinfu Zhu, Jianjun Miao, Rongrong Ding Jan 2019

Simulation Of Two Stages-Variant Growth Evolution Model Of High-Speed Railway And Civil Aviation Compound Network, Xu Feng, Jinfu Zhu, Jianjun Miao, Rongrong Ding

Journal of System Simulation

Abstract: Combining the special evolving characteristics of the high-speed railway and civil aviation compound network, an evolution model which has two stages with variant growth mechanism and variable parameters is constructed, and the rationality of the model is verified through mathematical simulation. The model divides the evolutionary process into two stages: the stage of single-point growth pattern, and the stage of variant and alternant growth pattern. The probability of two sub-networks’ random and commutative growth could be controlled by changing the parameters’ values, and then the evolving rhythm and scale of the compound network could be adjusted. The simulation results …

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Flow Field Analysis Of Pipeline Pig Receiving Trap, Chuanjun Han, Yu Cheng, Xingzhi Duan, Li Qi Jan 2019

Flow Field Analysis Of Pipeline Pig Receiving Trap, Chuanjun Han, Yu Cheng, Xingzhi Duan, Li Qi

Journal of System Simulation

Abstract: To study the influence of piping diameter on the flow field characteristics when pig receiving trap is working, the finite element model of pig receiving trap whose type is P6.3MPa DN700/DN600 was established, and the effects of the diameters changes of vent pipe and blow-off pipe were simulated. The effects caused by the pig running speeds on the flow field of the pig receiving trap were studied. The results show that in the pig receiving trap, there is the maximum pressure in the left side of pig staying and the pressure begins to decrease and easy to form swirls …

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Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue Jan 2019

Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue

Journal of System Simulation

Abstract: Elevator traffic demand pattern recognition is the prerequisite for effectively implementing the strategies of elevator group control system. In view of the characteristics of time-varying, nonlinear and uncertainty of elevator traffic demand, an elevator traffic pattern recognition method with FCM (Fuzzy C-means) clustering based fuzzy neural network is presented. The method introduces the fuzzy logic into the calculation and learning of BP neural network, and employs FCM clustering algorithm to cluster the original traffic demand to realize the fuzzy partition of the input space of fuzzy system to determine the initial value of network membership function and clustering center …

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Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang Jan 2019

Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang

Journal of System Simulation

Abstract: Considering the importance of objective haze forecast and the low accuracy rate of haze forecast, a new haze objective forecast correction method based on the multiple stepwise regression algorithms and the Kalman filtering algorithm is proposed. The multiple stepwise regression method is used to control the physical factor of the dependent variable, and the visibility forecast equation is established. The Kalman filtering method is adopted to correct the regression coefficient in multivariate stepwise regression algorithm according to the actual data, and the haze objective forecast correction model is established. The experiments are carried out in Beijing, Guangzhou, Nanjing and …

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