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2019

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Articles 541 - 570 of 15926

Full-Text Articles in Physical Sciences and Mathematics

Multi-Sensor Data Fusion With Network Delays And Correlated Noises, Shankai Zhang, Zhu Cui, Su Zhong, Dai Juan Dec 2019

Multi-Sensor Data Fusion With Network Delays And Correlated Noises, Shankai Zhang, Zhu Cui, Su Zhong, Dai Juan

Journal of System Simulation

Abstract: This paper focuses on the state estimation for multi-sensor system with network delays and correlated noises. An orthogonal transformation method is applied to remove the correlations between different noises. For the problem of packet delays due to the unreliable network, a buffer with certain length is introduced to store the measurements, and the measurements are reordered using a timestamp in the buffer. Based on that, a novel sequential data fusion algorithm is proposed, by which the influence of the noise correlation and packet delays can be weakened effectively. Compared with the traditional sequential fusion method, the proposed algorithm has …

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Parallel Tasks Optimization Scheduling In Cloud Manufacturing System, Chenwei Feng, Wang Yan Dec 2019

Parallel Tasks Optimization Scheduling In Cloud Manufacturing System, Chenwei Feng, Wang Yan

Journal of System Simulation

Abstract: To solve the problem of unbalanced resource requirements and low resource utilization when the same type of tasks are executed in parallel in the cloud manufacturing system, a task resource scheduling model with the goal of minimizing cost, minimizing time, maximizing reliability and optimizing quality is established. A non-dominated sorting genetic algorithm based on reference points (NSGA-III) is adopted to solve the model by combining real number matrix coding and crossover and mutation based on real number coding instead of common evolutionary strategy. And an optimal decision strategy based on combination of analytic hierarchy process and entropy value method …

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Pedestrian Navigation Method Based On Uwb And Sins, Yang Yang, Li Qing Dec 2019

Pedestrian Navigation Method Based On Uwb And Sins, Yang Yang, Li Qing

Journal of System Simulation

Abstract: In view of the problem that the inertial navigation error is accumulating with time and UWB indoor is hard to continue tracking problems in complex environment, an extended Kalman filter (EKF) fusing UWB and sins pedestrian navigation is proposed.The zero speed correction algorithm is used to trigger EKF at zero speed. The sins is corrected by the velocity error measurement provided by sins and the position error measurement provided by UWB restraining error accumulation.When UWB signal is interrupted, the position of UWB output without interruption is taken as the starting position. The experiment results of SINS autonomous navigation …

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Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan Dec 2019

Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan

Journal of System Simulation

Abstract: This paper addresses the optimization of energy consumption in discrete workshops and establishes the energy efficiency optimization model of discrete workshops. The relationship between data mining and knowledge discovery is established. Through scheduling data preprocessing and C4.5 decision tree learning algorithm, the discovery of scheduling knowledge is realized. Energy efficiency optimization calculation is achieved in discrete workshops by the combination of scheduling knowledge and improved differential evolution algorithm (IDE). By comparing with TLBO, GA and PSO, the feasibility of IDE algorithm is verified.

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Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai Dec 2019

Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai

Journal of System Simulation

Abstract: Internet technology and online social networks have developed rapidly, which enables people to randomly express their opinions, ideas, emotional exchanges and economic exchanges. Inferring social networks is made possible through the observation data exchanged by people on the Internet. Through the analysis of ConNIe (Convex Network Inference) algorithm, this paper researches the effects of sparse parameter, propagation time distribution model and its parameters on the inference results of the algorithm. According to the analysis, a social network inference framework based on ConNIe algorithm is proposed. Combining the perceptron and particle swarm optimization algorithm, the ConNIe algorithm inference becomes a …

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Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong Dec 2019

Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong

Journal of System Simulation

Abstract: Soldier morale is a complex social construction influenced by factors at multiple levels and integrates many research domains. This research seeks to explore, model, and simulate soldier morale at multiple levels of analysis. Microcosmically Agent-Based Modeling method is used to reflect the interaction among fighters and the course of affecting morale,Macrocosmically SD method is used to reflect the influence of the tactical psychology on morale and the whole war in the counter-combat process. The developed sample case scenario pertained to US security efforts against insurgency in Afghanistan in 2007. The scenario includes representation of the patrol base operations serving …

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Research On Mechanical Configuration Of Automatic Container Terminals Based On Simulation Optimization Method, Shaozheng Yu, Dongshi Sun, Chen Jing, Yongchao Li Dec 2019

Research On Mechanical Configuration Of Automatic Container Terminals Based On Simulation Optimization Method, Shaozheng Yu, Dongshi Sun, Chen Jing, Yongchao Li

Journal of System Simulation

Abstract: In the study of mechanical configuration problem of automated container terminal, a system simulation model based on discrete event simulation is constructed. The key parameters and interference factors that affect the performance of the system are fully considered in the model and a mechanical scheduling algorithm interface to ensure the effectiveness of the simulation model is designed. On the premise of ensuring the reliability of the container terminal system, a cycle optimization method of mechanical configuration scheme is proposed to minimize the cost. An example is given to solve the mechanical configuration scheme of an automatic container terminal. …

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Research On The Value Accessing Method For Calibrating Micro Traffic Simulation Model Parameters, Chenjing Zhou, Rong Jian, Kwok Lam Dec 2019

Research On The Value Accessing Method For Calibrating Micro Traffic Simulation Model Parameters, Chenjing Zhou, Rong Jian, Kwok Lam

Journal of System Simulation

Abstract: Parameter calibration is the precondition of the application of micro traffic simulation technology. This study focuses on the value accessing method for parameter calibration in order to further improve the parameter calibration process. The analysis of the distribution characteristics of each parameter calibration results shows that the parameters have different trends in the process of gradual iteration, and there are multiple optimal solutions for the model parameter calibration results. In this paper, the dispersion is used as the quantitative analysis index of the concentration degree of each parameter calibration result, and the parameter value of the model is determined …

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Research On Source Seeking Methods Of Harmful Gas Leakage In Chemical Industry Parks, Zhao Yong, Bin Chen, Xiaodong Wang, Zhengqiu Zhu, Rongxiao Wang, Xiaogang Qiu Dec 2019

Research On Source Seeking Methods Of Harmful Gas Leakage In Chemical Industry Parks, Zhao Yong, Bin Chen, Xiaodong Wang, Zhengqiu Zhu, Rongxiao Wang, Xiaogang Qiu

Journal of System Simulation

Abstract: Chemical production safety accidents often lead to harmful gas leakage, causing serious environmental damage and casualties. Mastering the information of leaking source quickly can assist in emergency disposal decisions and reduce the harm of accidents. In this paper, Entrotaxis algorithm is used to guide the ground source seeking equipment to move to the vicinity of the leaking source quickly and autonomously in a chemical park scene, and to master the source information. According to the characteristics of the chemical industry park scene, this paper applies intermittent search module into Entrotaxis algorithm and proposes a robust and suitable algorithm (Entrotaxis-Jump …

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An Lstm-Based Motion Recognition Method For Power Operation And Maintenance, Peizhen Liu, Yuxiang Jia, Shihong Xia Dec 2019

An Lstm-Based Motion Recognition Method For Power Operation And Maintenance, Peizhen Liu, Yuxiang Jia, Shihong Xia

Journal of System Simulation

Abstract: The security of power operation and maintenance has always been a subject of great social concern. In order to avoid serious consequences caused by the fault of staffs, a motion recognition method for power operation and maintenance jobs based on LSTM (Long Short-Term Memory) is proposed, which covers the whole process from data collection, data processing to motion classification and recognition, then it can recognise and supervise the behavior of staffs who are at work. In addition, a simulation experiment is conducted between the deep learning algorithm LSTM and the traditional machine learning algorithm KNN based on the newly …

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The Scheduling Algorithm Of Cloud Job Based On Hopfield Neural Network, Yudong Guo, Jinping Zuo Dec 2019

The Scheduling Algorithm Of Cloud Job Based On Hopfield Neural Network, Yudong Guo, Jinping Zuo

Journal of System Simulation

Abstract: Focusing on the low efficiency of cloud job scheduling and the insufficient utility of resource, a job scheduling algorithm based on Hopfield Neural Network is proposed. In order to improve the resource scheduling ability of the system, The resource characteristics which influence the cloud job scheduling are shown. The mathematical model of resource constraints is established, and the Hopfield energy function is designed and optimized. The average utilization rate of 9 nodes is analyzed by using the standard test cases, and the performance and resource utilization of the proposed strategy are compared with three typical algorithms. …

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Toward Early Detection Of Pancreatic Cancer: An Evidence-Based Approach, Omid Sharagi Dec 2019

Toward Early Detection Of Pancreatic Cancer: An Evidence-Based Approach, Omid Sharagi

Master's Projects

This study observes how an evidential reasoning approach can be used as a diagnostic tool for early detection of pancreatic cancer. The evidential reasoning model combines the output of a linear Support Vector Classifier (SVC) with factors such as smoking history, health history, biopsy location, NGS technology used, and more to predict the likelihood of the disease. The SVC was trained using genomic data of pancreatic cancer patients derived from the National Cancer Institute (NIH) Genomic Data Commons (GDC). To test the evidential reasoning model, a variety of synthetic data was compiled to test the impact of combinations of different …

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An Application Of Deep Learning Models To Automate Food Waste Classification, Alejandro Zachary Espinoza Dec 2019

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 …

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Schrödinger Evolution Of Superoscillations With Δ - And Δ′ -Potentials, Yakir Aharonov, Jussi Behrndt, Fabrizio Colombo, Peter Schlosser Dec 2019

Schrödinger Evolution Of Superoscillations With Δ - And Δ′ -Potentials, Yakir Aharonov, Jussi Behrndt, Fabrizio Colombo, Peter Schlosser

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this paper, we study the time persistence of superoscillations as the initial data of the time-dependent Schrödinger equation with δ- and δ′-potentials. It is shown that the sequence of solutions converges uniformly on compact sets, whenever the initial data converge in the topology of the entire function space A1(C). Convolution operators acting in this space are our main tool. In particular, a general result about the existence of such operators is proven. Moreover, we provide an explicit formula as well as the large time asymptotics for the time evolution of a plane wave under δ- and δ′-potentials.

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Effects Of Detritivores On Nutrient Dynamics And Corn Biomass In Mesocosms, Josephine Lindsey-Robbins, Angélica Vázquez-Ortega, Kevin Mccluney, Shannon Pelini Dec 2019

Effects Of Detritivores On Nutrient Dynamics And Corn Biomass In Mesocosms, Josephine Lindsey-Robbins, Angélica Vázquez-Ortega, Kevin Mccluney, Shannon Pelini

School of Earth, Environment and Society Faculty Publications

(1) Background: Strategies aimed at managing freshwater eutrophication should be based on practices that consider cropland invertebrates, climatic change, and soil nutrient cycling. Specifically, detritivores play a crucial role in the biogeochemical processes of soil through their consumptive and burrowing activities. Here, we evaluated the effectiveness of increasing detritivore abundance as a strategy for nutrient management under varied rainfall. (2) Methods: We manipulated soil macroinvertebrate abundance and rainfall amount in an agricultural mesocosms. We then measured the phosphorus, nitrogen, and carbon levels within the soil, corn, invertebrates, and soil solution. (3) Results: Increasing detritivore abundance in our soil significantly increased …

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Albert Forms, Quaternions, Schubert Varieties & Embeddability, Jasmin Omanovic Dec 2019

Albert Forms, Quaternions, Schubert Varieties & Embeddability, Jasmin Omanovic

Electronic Thesis and Dissertation Repository

The origin of embedding problems can be understood as an effort to find some minimal datum which describes certain algebraic or geometric objects. In the algebraic theory of quadratic forms, Pfister forms are studied for a litany of powerful properties and representations which make them particularly interesting to study in terms of embeddability. A generalization of these properties is captured by the study of central simple algebras carrying involutions, where we may characterize the involution by the existence of particular elements in the algebra. Extending this idea even further, embeddings are just flags in the Grassmannian, meaning that their study …

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X-Ray Absorption Spectroscopy, X-Ray Diffraction And Optical Luminescence Studies Of Phase Transition Of Titania Nanotubes, Lu Yao Dec 2019

X-Ray Absorption Spectroscopy, X-Ray Diffraction And Optical Luminescence Studies Of Phase Transition Of Titania Nanotubes, Lu Yao

Electronic Thesis and Dissertation Repository

The one-dimensional (1D) TiO2 nanotubes (NTs) and their derivatives have been extensively studied due to their wide applications, such as photocatalysts, solar cell, paints and so on. Since TiO2 has a wide band gap (~3.0 eV), its photo-absorption as the photocatalyst only occurs in the UV region that wastes mostly solar energy. Therefore, the solution to higher photocatalytic efficiency has been sought for some time. This thesis presents a study of the size-dependent phase transitions of TiO2 NTs using synchrotron-based X-ray techniques. The chemical environment including local symmetry and the luminescence origin of the TiO2 NTs …

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Design Of Nonsmooth And Inversed Control Algorithm For Nonlinear Structural Vibration Control, Jianhui Wang, Wang Qing, Kemao Ma, Xiaofang Huang Dec 2019

Design Of Nonsmooth And Inversed Control Algorithm For Nonlinear Structural Vibration Control, Jianhui Wang, Wang Qing, Kemao Ma, Xiaofang Huang

Journal of System Simulation

Abstract: Considering the vibration effects of seismic waves on building with nonlinear structures, a nonsmooth and inversed control algorithm is used to suppress the vibration. It overcomes the faults of ignoring nonlinear influence in traditional approximate linearization control method and suppresses the influence of seismic waves effectively. According to Lyapunov stable theory and finite-time stability theory, the proposed control method to realize the stability of the nonlinear structural vibration is demonstrated. In the realization of the control method, the extended state observer is used to estimate the unknown disturbances. The numerical simulation is conducted for an eight-story building influenced …

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Don’T Give Up On Nuclear Energy, Daniel Gertner Dec 2019

Don’T Give Up On Nuclear Energy, Daniel Gertner

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

The nuclear power plant failures at Three Mile Island and Chernobyl in the late 1970s and 1980s split Americans into two passionate camps. For some, nuclear plants posed serious threats to both environmental and national security, and, for others, nuclear energy remained the most viable path to clean, reliable power in the United States. But following the fervent debates of the late 20th century, the national conversation around nuclear power stagnated. A few ardent advocates and opponents notwithstanding, nuclear power left the public eye. Popular energy debates—especially among young people—now center around flashier topics like the Green New Deal, electric …

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The Dirty Clean Fuel, Sawyer Krivanek Dec 2019

The Dirty Clean Fuel, Sawyer Krivanek

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Hydraulic fracking began nearly 80 years ago and was initially headlined as a brand new, fuel efficient alternative to coal and oil. Natural gas has been disguised as a clean fuel, when in reality it is just another dirty, polluting, environmentally harmful fossil fuel. The detriments of fracking heavily outweigh the benefits, and it needs to be banned on public and private lands. Natural gas has been viewed as a cleaner alternative to coal and oil, so immediately fossil fuel industries took advantage of that narrative. Consumers, eager for cleaner alternatives, have been tricked into buying into the fracking fad. …

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Implications Of The Modifiable Areal Unit Problem For Wildfire Analyses, Timothy P. Nagle-Mcnaughton, Xi Gong, Jose A. Constantine Dec 2019

Implications Of The Modifiable Areal Unit Problem For Wildfire Analyses, Timothy P. Nagle-Mcnaughton, Xi Gong, Jose A. Constantine

Geography and Environmental Studies Faculty Publications

Wildfires pose a danger to both ecologies and communities. To this end, many large-scale analyses of wildfire patterns and behavior rely on the aggregation of point data to polygons, typically those based on distinct disparate ecological areas. However, the sizes, shapes, andorientations of the polygons to which data are aggregated are not neutral factors in the resulting analysis. The influence of the aggregation polygons on calculated results is known as the modifiable areal unit problem (MAUP), which is well-documented in the spatial statistics literature. Despite the documentation of the MAUP, relatively few wildfire studies consider the effects of the MAUP …

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Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao Dec 2019

Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao

Journal of System Simulation

Abstract: With the development of urbanized transportation, the perceptual computing plays an important role in smart cities. Aiming at the problem that the traditional density clustering algorithm cannot adapt to massive taxi GPS trajectory data and visualization, the BCS-DBSCAN (Big-Data Cluster Center Statistics Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is proposed. The algorithm can segment and parallelize the trajectory data, extract the maximum density cluster, and adapt the result to the visualization model. The experimental results show that compared with other popular methods, this method has significant advantages in extracting clustering speed, accuracy and visualization of urban …

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Research On Radar Signal Sorting Based On Ensemble Deep Learning, Weidong Jin, Chunli Chen Dec 2019

Research On Radar Signal Sorting Based On Ensemble Deep Learning, Weidong Jin, Chunli Chen

Journal of System Simulation

Abstract: In view of the fact it is difficult to extract the appropriate features quickly and present signal sorting method’s accuracy is low, a signal sorting method based on ensemble deep learning model is proposed. This method stacks different types of deep belief network for radar emitter signal feature learning to improve algorithm. After learning the characteristics of the radar emitter signals deeply, the posterior probability of each model is linearly integrated and learned and the final classification results are determined by the decision layer to further improve the signal recognition rate. The method is used to separate different …

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Nonlinear Sliding Mode Control For Robotic Manipulator Based On Disturbance Observer, Gensuo Mi, Huaqi Liang Dec 2019

Nonlinear Sliding Mode Control For Robotic Manipulator Based On Disturbance Observer, Gensuo Mi, Huaqi Liang

Journal of System Simulation

Abstract: A nonlinear sliding mode control strategy of manipulator based on disturbance observer is designed for the characteristics of the manipulator which is sensitive to internal parameter disturbance and the external disturbance in the position tracking. According to the system dynamics model and Lyapunov stability theory, the uncertainties and external disturbances of the system are observed by disturbance observer. At the same time, the nonlinear sliding mode controller is designed and the Lyapunov function is constructed to verify the stability of the system. On this basis, the system control law and the sliding mode control law are designed to compensate …

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Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu Dec 2019

Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu

Journal of System Simulation

Abstract: For the problem of load balancing between macro base station and small base station in heterogeneous ultra-dense networks, a general offloading framework is proposed based on the distance between users and the nearest base station. By partitioning network spectrum resource and using stochastic geometry, the expression of coverage probability and average ergodic rate of users in the fixed region and the random region are deduced on the basis of guaranteeing the quality of service of the macro users offloaded. The simulation results show that the combination of resource partitioning and offloading effectively improves the coverage probability and average ergodic …

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A Review Of Modeling Human Travel And Social Contacts For Public Health Management, Duan Wei, Guo Gang, Bin Chen, Duan Hong Dec 2019

A Review Of Modeling Human Travel And Social Contacts For Public Health Management, Duan Wei, Guo Gang, Bin Chen, Duan Hong

Journal of System Simulation

Abstract: It is significant to understand the patterns of human mobility and social contacts for epidemic prevention and control. This paper analyses the regularities and the statistical properties of human behaviors at the perspective of human dynamics. Various models of human mobility and social contacts are comparatively investigated , including Brownian movement, random walks, spatial network, Motifs, bipartite graph model, gravity models, contact rate, the distribution of daily contact number, social networks, etc. The models of human behavior changes in the course of epidemic outbreak are also analyzed. The challenges of modeling human mobility and social contacts are discussed …

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Survey On Modeling And Simulation Of Internet Public Opinion In China, Mingxin Zhang Dec 2019

Survey On Modeling And Simulation Of Internet Public Opinion In China, Mingxin Zhang

Journal of System Simulation

Abstract: Modeling and Simulation of Internet public opinion can analyze the causes of public opinion and its transmission path, track and predict the trend of public opinion, so as to improve the ability of public opinion guidance for its control departments. This paper reviews and analyses the existing research on Modeling and simulation of Internet public opinion. From the point of view of research directions, the current research covers many directions, mainly including the evolution mechanism of Internet public opinion and the effectiveness of guidance mechanism. From the point of view of research methods, domestic research on Internet public opinion …

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Simulation Study On Aerodynamic Characteristics Of Flapping-Wing Aircraft With Multi-Stage Wing And Multiple Degree Of Freedom, Yonggang Yang, Xindong Gu Dec 2019

Simulation Study On Aerodynamic Characteristics Of Flapping-Wing Aircraft With Multi-Stage Wing And Multiple Degree Of Freedom, Yonggang Yang, Xindong Gu

Journal of System Simulation

Abstract: In the traditonal flapping-wing aircraft model, most of the wings are two-dimensional rigid wings, and the upswing and downwing processes are completely symmetrical. In order to further improve the aerodynamic characteristics of the flapping-wing aircraft, this paper uses the idea of approximate flexibility to establish the multi-stage wing to achieve the approximate flexibility effect. At the same time, the rapid return characteristic is added to prolong the down-flapping time. And a three-dimensional model of “flutter-twist-bend folding” is proposed by adding the bending-folding motion on the basis of the original movement and twisting motion. The model is imported into Xflow …

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Review Of Evaluation Methods Of Contribution Rate To System Of Systems, Xiaojing Yin, Xiaofeng Hu, Rong Ming, Haiyang Liu, Yongli Yang Dec 2019

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.

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Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems, Xia Lu, Mingzhi Zhang, Jingyu Yang, Changliang Xiao Dec 2019

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 …

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