Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Journal of System Simulation

Articles 3061 - 3090 of 3363

Full-Text Articles in Physical Sciences and Mathematics

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.

Go to article

Optimal Operation Of Grid-Connected Microgrid Based On Abc Algorithm, Qiuli Cui Jan 2019

Optimal Operation Of Grid-Connected Microgrid Based On Abc Algorithm, Qiuli Cui

Journal of System Simulation

Abstract: An optimal scheduling model of grid-connected microgrid composed of wind power generators, photovoltaic cells, fuel cells and batteries is established. The economy and environmental protection elements are considered in this model. To maximize the role of peak shaving and valley filling in microgrid system, based on the time-of-use price mechanism, the heuristic rules combined with peak shaving and valley filling is used to design a grid-connected energy scheduling strategy. By monitoring the net load state and the price time interval, and adjusting the particular state of the micro source of power, the system optimal energy scheduling state is obtained. …

Go to article

Ultra-Short-Term Wind Power Forecasting Based On Ceemd And Chaos Theory, Lijie Wang, Zhang Li, Zhang Yan Jan 2019

Ultra-Short-Term Wind Power Forecasting Based On Ceemd And Chaos Theory, Lijie Wang, Zhang Li, Zhang Yan

Journal of System Simulation

Abstract: This paper studies the ultra-short-term prediction of wind power generating capacity by means of CEEMD and chaos theory. Wind power time series is decomposed by CEEMD to decrease the non-stationary of time series. CEEMD can overcome the modal aliasing problem of EMD. The phase space reconstruction method is used to extract characteristics of each sequence, which provides the basis for the selection of input dimension when building a model. The least squares support vector machine models are built for each sequence and the prediction are made separately. The predicted results are added to get the final prediction. Simulation is …

Go to article

Three-Dimensional Model Of Magnetostrictive Force Sensor Considering Stress Coupling And Experimental Research, Li Bo, Jiabin Yang, Shu Liang, Penghui Li, Wu Hong Jan 2019

Three-Dimensional Model Of Magnetostrictive Force Sensor Considering Stress Coupling And Experimental Research, Li Bo, Jiabin Yang, Shu Liang, Penghui Li, Wu Hong

Journal of System Simulation

Abstract: Considering the brittleness of normal magnetostrictive and piezoelectric materials, a new magnetostrictive force sensor is proposed, in which Galfenol alloy is taken as the sensing element. Considering the anisotropy of Galfenol, three-dimensional magneto-mechanical coupled model is presented on the basis of electromagnetic and mechanical governing equation. The nonlinear magnetization behavior of Galfenol is described by employing the discrete energy-averaged model. The coupling of the magnetization model and the structural model is implemented with the PDE weak form equations. The model is solved by using the weak form module of Comsol Multiphysics. Simulation results show that both field and stress …

Go to article

Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng Jan 2019

Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng

Journal of System Simulation

Abstract: This paper aims to solve the problems in a vector integration to endpoint (VITE) model of human reaching and grasping under perturbations of object size, distance and orientation. We discuss how to reduce the numbers of disturbances of three main kinds of components: hand/wrist transport, grip aperture and hand orientation. Based on the achievements of cognitive psychology, and a tracking and cognitive model for operational 3D gestures, this paper proposes a new divide-and-conquer model that is used for indicating current grasping status and to trigger three main kinds of methods of when to start or stop working. The model …

Go to article

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 …

Go to article

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 …

Go to article

Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao Jan 2019

Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao

Journal of System Simulation

Abstract: In order to obtain high quality material simulation data from Density Functional Theory material calculation software package, a modeling method based on BP neural network was proposed to build model estimating the error of material simulation data. A novel hybrid algorithm combining simple particle swarm optimization algorithm that excludes speed item with BP algorithm, also referred to tsPSO-BP, was proposed to optimize the connection weights of the BP neural network. The hybrid learning algorithm not only makes use of strong global searching ability of the PSO, but also strong local searching ability of the BP algorithm. The BP …

Go to article

Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song Jan 2019

Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song

Journal of System Simulation

Abstract: A hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the soft-decision iterative decoding method and the erasure decoding method is proposed. If a decoding error is detected when the maximum iteration number of the soft-decision iterative decoding is reached, a decision is made on each bit whether it is zero or one or an erasure according to the cumulative reliability of the bit in the iterative process. Then the decision result is decoded with erasure decoding. Simulation results on random LDPC codes with moderate length indicate that the proposed hybrid decoding algorithm outperforms the traditional soft-decision iterative …

Go to article

Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao Jan 2019

Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao

Journal of System Simulation

Abstract: While itis difficult tomeasure thestress distribution of casing threads underground without calculation by finite element method. Here assumes a deformation compatibility factor Ux, use an initial calculation to represent the thread stress, f(x)=f0Ux, and applythe ABAQUS finite element software to calculate the stress distribution of the threads under different symmetrical loads. Obtain the expressions of Ux by curve fitting, and get the threads stress calculation formula to provide an intuitive, fast and accurate method of calculation for the site. Providea theoretical reference for development and manufacture of casing …

Go to article

Variable Step-Size Constrained Total Least Squares Algorithm For Space Registration, Jiaqiang Li, Chunyan Zhao, Jinli Chen, Ronghua Zhao, Yanping Zhu Jan 2019

Variable Step-Size Constrained Total Least Squares Algorithm For Space Registration, Jiaqiang Li, Chunyan Zhao, Jinli Chen, Ronghua Zhao, Yanping Zhu

Journal of System Simulation

Abstract: To solve the problem of location inaccuracy caused by abnormal error registration, a variable step-size constrained total least squares algorithm is presented. By building a nonlinear function relationship between step size and steps, algorithm step size is relatively large in initial stage and is very small during steady state. So this algorithm can achieve faster convergence rate and smaller steady-state imbalance noise at the same time. This algorithm reduces the convergence steps and improves the stability after convergence. Therefore this algorithm reduces the impact of abnormal error registration on location result. Meanwhile, this algorithm also makes location result more …

Go to article

Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming Jan 2019

Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming

Journal of System Simulation

Abstract: Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is …

Go to article

Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen Jan 2019

Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen

Journal of System Simulation

Abstract: Aiming at the coupling problem of current loop in vector control permanent magnet synchronous motor, a complex vector decoupling control strategy based on sliding mode observer is proposed. Based on the traditional sliding mode observer, the introduction of Sigmoid as a switching function and variable sliding mode gain to reduce the high frequency chattering, followed by construction of complex vector PI current regulator, combined with the transfer function of zero pole configuration and stability theory, determine the parameters of PI regulator, the view of rotor position and speed sensor observation information into the complex vector PI current regulator decoupling …

Go to article

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 …

Go to article

Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan Jan 2019

Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan

Journal of System Simulation

Abstract: The disjointing of cloud task-to-resource matching link is a prominent problem in the cloud fusion process. Aiming at this problem, a cloud-based fusion task assignment model optimization method based on the improved knowledge migration maximum entropy clustering algorithm (KT-MECA) is proposed, in which the two-sided satisfaction of tasks and resources is considered. The algorithm improves the introduction of historical clustering center knowledge and membership degree knowledge, improves clustering performance and stability, and solves the problem that traditional clustering algorithms cannot be applied to dynamic cloud resource clustering. Considering the two-side subject satisfaction, the result of KT-MECA is applied to …

Go to article

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 …

Go to article

Improvement Of Grey Target Algorithm And Its Application In Assessment Of Marine Gas Turbine, Tongqing Wang, Mei Shan, Xiaobo Li, Jiajie Liu Jan 2019

Improvement Of Grey Target Algorithm And Its Application In Assessment Of Marine Gas Turbine, Tongqing Wang, Mei Shan, Xiaobo Li, Jiajie Liu

Journal of System Simulation

Abstract: In the modern shipbuilding industry, gas turbines are increasingly becoming the main power supply devices for ships with their good overall performance. The assessment of their overall performance is very important in the development and introduction of gas turbines. By using the grey target theory, a comprehensive gas turbine performance evaluation model is constructed and the grey target method can easily deal with the evaluation problem which has the characteristics of "small amount of data, lean information, and uncertainty". By discussing the influence of distinguishing coefficient in the algorithm, a method for determining the value of the distinguishing coefficient …

Go to article

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui Jan 2019

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui

Journal of System Simulation

Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online …

Go to article

Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang Jan 2019

Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang

Journal of System Simulation

Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select the …

Go to article

Mining Method Of Crop Spectral And Image Correlation Modelbased On Spatio-Temporal Information, Ronghua Gao, Qifeng Li, Jingqiu Gu, Sun Xiang Jan 2019

Mining Method Of Crop Spectral And Image Correlation Modelbased On Spatio-Temporal Information, Ronghua Gao, Qifeng Li, Jingqiu Gu, Sun Xiang

Journal of System Simulation

Abstract: When crop disease occurs, it is often displayed in the leaf, and the appearance and internal structure of the crop are changed, and the growth environment also has a certain influence on the disease. The growth environment, leaf RGB images and spectral images are fused to study the sparse feature recognition method of crop diseases based on information combination of multi spectral images. In this paper, a spatial-temporal information mining method for crop spectral and image correlation models is studied. The correlation between spectral reflectance characteristics of crop diseases and crop development, health status and growth conditions are analyzed …

Go to article

Synthesized Capability-Effectiveness Evaluation Method Of Contribution Ratio To System-Of-Systems, Xiaobo Li, Lin Mu, Zhe Shu, Guibai Liu, Wang Tao, Weiping Wang Jan 2019

Synthesized Capability-Effectiveness Evaluation Method Of Contribution Ratio To System-Of-Systems, Xiaobo Li, Lin Mu, Zhe Shu, Guibai Liu, Wang Tao, Weiping Wang

Journal of System Simulation

Abstract: Since modern combats represent the development trend of systematization and network, it has become an essential requirement to build and use the equipment through a system-of-systems approach. The evaluation of contribution ratio to system-of-systems (CRSOS) is an important means to advance the development of weapon equipment systematization, and it is also urgently needed to carry out in-depth research on the theoretical concepts and methods. This paper establishes the research framework of CRSOS from the classification of contribution type and the equipment management life cycle. It proposes a CRSOS definition from the perspective of capability-efficiency dimension based on current …

Go to article

A Practical Approach For Building The Model Family’S Framework Of A Simulation System, Xiaocheng Liu, Bin Chen, Xiaogang Qiu Jan 2019

A Practical Approach For Building The Model Family’S Framework Of A Simulation System, Xiaocheng Liu, Bin Chen, Xiaogang Qiu

Journal of System Simulation

Abstract: The model architecture of a simulation system is derived from its family’s framework, and the building approach is the first issue to be tackled to build a simulation system. Considering the experience for building model family’s framework of some typical simulation systems and the recent development of modeling technology, this paper gives a measure-centred guidable procedure for building the model family’s framework of a simulation system, summarizes its basic rules, as well as lists some key technologies and supporting tools. The approach describes step-by-step the process of framework building by two phases (eight steps). Our proposed approach has been …

Go to article

Edge-Side Simulation Method And Framework Based On Micro-Services, Yanlong Zhai, Wenxin Sun, Tianhong Bao, Yang Kai, Duzheng Qing Jan 2019

Edge-Side Simulation Method And Framework Based On Micro-Services, Yanlong Zhai, Wenxin Sun, Tianhong Bao, Yang Kai, Duzheng Qing

Journal of System Simulation

Abstract: Aiming at the multi-devices, big data and low-latency simulation requirements in the Internet of Things, we define a concept of edge-side simulation and a simulation mode based on micro-services referring to the computational characteristics and architecture of edge computing and fog computing. For the link constraint and high-latency processing defects of "cloud simulation", a lightweight edge-side simulation platform framework combining edge computing and fog computing is designed, and the simulation speed is further accelerated by real-time simulation with LVC simulation system. Compared with the existing simulation frameworks, the edge-side simulation framework has the remarkable features of lightweight, high real-time, …

Go to article

Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming Jan 2019

Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming

Journal of System Simulation

Abstract: In order to study uncertainty quantification of aircraft, which has the characteristics of many uncertainty parameters, complex model structures, and so on, an uncertainty quantification method based on polynomial chaos expansion is proposed. A method based on multi-dimensional polynomial chaos expansion (PCE) is used as an agent model to approximate aircraft so as to reduce the amount of calculation of transmitting by the vehicle dynamic system from uncertainty parameters. The Sobol index of the global sensitivity is calculated based on the approximate agent model. An example is presented to demonstrate the effectiveness of the polynomial chaos expansion method …

Go to article

Research On The Conceptual Modeling Of Coa For Analysis Of Wargaming, Zhaopeng Liu, Shaojun Liu, Guangya Si, Zhou Wen Jan 2019

Research On The Conceptual Modeling Of Coa For Analysis Of Wargaming, Zhaopeng Liu, Shaojun Liu, Guangya Si, Zhou Wen

Journal of System Simulation

Abstract: On the background of the Campaign COA analysis with simulation system wargaming, aiming at the information sharing problem in the course of wargaming, the composition and difference of the domestic and foreign COA are deeply analyzed, and the development trend of the COA modeling methods are also analyzed. The COA models are divided into the conceptual models and the solution models for the first time, and the limitation of the current COA conceptual models is analyzed with this viewpoint. For the characteristics of across the campaign level and tactical level during the process of the COA wargaming, utilizing …

Go to article

Research On Battle Damage Assessment Method Of Aggregating Target In Theater-Level, Qihao Hou, Yiping Yao, Cao Xiang Jan 2019

Research On Battle Damage Assessment Method Of Aggregating Target In Theater-Level, Qihao Hou, Yiping Yao, Cao Xiang

Journal of System Simulation

Abstract: The damage adjudication model in the theater-level combat simulation is the key to judge the target damage status and evaluate the attack process. The current research mainly focuses on the abstract modeling of single ground target, and the needs of the damage assessment of ground aggregation targets in large-scale joint operations cannot be met. The ground aggregation target is decomposed into different sub-targets through the structure tree, and the sub-target value is given to determine the main attacked target. Standard sub-targets are created based on the sub-target's shape and presence or absence of protection. The mapping relationship between …

Go to article

Research On Construction Method Of Data-Driven Equipment Effectiveness Evaluation Model, Yingbo Lu, Xiaochao Qian, Chen Wei, He Shu, Zhifeng Lu Jan 2019

Research On Construction Method Of Data-Driven Equipment Effectiveness Evaluation Model, Yingbo Lu, Xiaochao Qian, Chen Wei, He Shu, Zhifeng Lu

Journal of System Simulation

Abstract: The problem of weapon equipment effectiveness evaluation is complex and nonlinear. However, the analytical method cannot empower evaluation index objectively or establish the mathematical model accurately. This paper proposes a data-driven evaluation model construction method. We introduce meta-model technology like GA-BP algorithm to construct effectiveness evaluation model, which can mine relationships and weights between indicators objectively. We take the interception effectiveness evaluation of a certain type of air defense missile weapon system as an example to verify the feasibility of this method. The method is helpful to optimize technical indicators and predict effectiveness rapidly.

Go to article

Volume Rendering Viewpoint Selection Based On Adaptive Scaleable Chaotic Particle Swarm Optimization, Yanyang Zeng, Zehao Zhang, Yunxia Feng Jan 2019

Volume Rendering Viewpoint Selection Based On Adaptive Scaleable Chaotic Particle Swarm Optimization, Yanyang Zeng, Zehao Zhang, Yunxia Feng

Journal of System Simulation

Abstract: People often perform volume rendering viewpoint selection by means of manual exploration. However, when the volume data is large, it often takes a lot of time to reduce the efficiency. An adaptive scaling chaotic particle swarm optimization algorithm is proposed for the automatic selection of viewpoints in volume rendering. The algorithm introduces image information entropy to evaluate the quality of images corresponding at different viewpoints. The entropy value is used as the basis for optimizing the viewpoint and the fitness value of the particle swarm optimization, so as to realize the intelligent and automatic choice, and finally obtain the …

Go to article

Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest, Weidong Jin, Yanhua Hu, Tang Peng, Li Wei Jan 2019

Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest, Weidong Jin, Yanhua Hu, Tang Peng, Li Wei

Journal of System Simulation

Abstract: In view of the complexity of existing image enhancement methods, which cannot highlight the detection target, this paper proposes a method for detail enhancement of forward vehicle video based on structured forest. This method is mainly divided into two parts: structured forest edge detection and visual enhancement. This paper implements the detail edge extraction and enhancement of the patrolling image of the catenary. The gray histogram distribution after processing is more balanced, and the difference between the average values of gray levels in the detail area and background area of the enhanced patrol image is the standard deviation. The …

Go to article

Research And Realization Of 3d Scene Modeling In Chemical Industry Park, Hongyue Zhu, Bin Chen, Xiaodong Wang, Rongxiao Wang, Zhengqiu Zhu, Xiaogang Qiu Jan 2019

Research And Realization Of 3d Scene Modeling In Chemical Industry Park, Hongyue Zhu, Bin Chen, Xiaodong Wang, Rongxiao Wang, Zhengqiu Zhu, Xiaogang Qiu

Journal of System Simulation

Abstract: Aiming at the visualization of atmospheric pollution monitoring data in chemical parks, the method of 3D modeling in chemical industry parks is studied, and a remote-web-login and realistic three-dimensional visual information management system based on GIS remote sensing data and sensors’ monitoring data is realized. For simple objects such as buildings, rapid modeling based on GIS data is used; for complex objects such as chemical devices, 3ds Max and UAV tilt photography are combined to model; in terms of visualization, Cesium-based web front-end development technology is adopted. By adopting the above modeling methods in combination, not only the repetitive …

Go to article

First Prev Next Last