Numerical Analysis and Scientific Computing Commons^™

Optimization Algorithm Based On Human Infection With Avian Influenza, Guangqiu Huang, Qiuqin Lu

Journal of System Simulation

Abstract: To get the global optimal solution of some complex nonlinear optimization problems, an optimization algorithm based on the human avian influenza infectious diseases is proposed by using its dynamic model of cross species transmission. Applies the H7N9 infectious disease model to create the operators S^u-S^u, I^u-I^u, S^u-I^u, I^u-S^u, S^u-D^u, I^u-D^u, and to enable the individuals to exchange information among the same species and cross-species. The S^u-S^u and I^u-I^u operators …

Research On Failure Modes Analysis Based On Weighted Evidence Theory, Lulu Shao, Jihong Han, Niu Kan, Xiaohu Liu, Shao Fang

Journal of System Simulation

Abstract: Aiming at the risk priority numbers of different failure modes being equal and the criticality of the fault modes changing greatly due to the tiny change of the risk parameters, a method of the failure modes analysis based on the weighted evidence theory is proposed from the perspective of the methodology of dealing with the uncertainty problem. The method qualifies the epistemic uncertainty existing in the expert evaluation of the risk parameters into the basic belief assignment and expert attribute weight respectively, and the information propagation and processing of the epistemic uncertainty is solved, and the ordered arrangement …

Design Of Virtual Training System For Horizontally Oriented Drill Based On Unity3d, Guojun Wen, Xia Yu, Yudan Wang, Zifei Hu, Wu Dan

Journal of System Simulation

Abstract: Aiming at the equipment shortage, serious resource loss and hidden dangers in traditional horizontally oriented drilling rig training, a design scheme of the horizontally oriented drilling rig virtual training system based on the Unity3D is proposed. An experimental platform is built to verify the feasibility. The solidworks, 3dsMax model construction, Unity3D software virtual animation and scene development, Rodrigues rotation matrix 3D trajectory algorithm derivation, data acquisition (DAQ), system software and hardware communication and other technical content are used in the program. The experimental results show that the scheme is feasible, the system has the good operability and true immersion …

High-Fidelity Simulation Of Video-Assisted Thoracoscopic Surgery Lobectomy, Peng Liu, Weixin Si, Zheng Rui, Xiangyun Liao, Dongliang Xu, Ping'an Wang

Journal of System Simulation

Abstract: The virtual reality simulator of the video-assisted thoracoscopic (VATS) surgery lobectomy is of great value to the surgeon's surgical training and planning. In order to simulate the high-fidelity video-assisted thoracoscopic lobectomy, a VATS lobectomy simulator to realistically and efficiently simulate the different surgical operations during the VATS lobectomy procedure is developed. Based on the Position-Based Dynamics framework, the deformation induced by tool-tissue and tissue-tissue interactions, soft tissue cuts as well as subsequent surgical suture operations is simulated. The Marching Cubes algorithm is employed to achieve the surface rendering, especially for the cutting process. The GPU parallel computing technique is …

Application Of Improved Inverse Decoupling Active Disturbance Rejection Internal Model Control In Grinding, Zhou Ying, Qiaojuan Jia, Zhang Yan, Mingxin Chang

Journal of System Simulation

Abstract: Aiming at the characteristics of the multivariable, strong coupling and large time delay of the grinding classification system, the improved inverse decoupling active disturbance rejection internal model control method is proposed. The inverse decoupling method is used to realize the decoupling of the grinding classification system, and the improved internal model control and linear active disturbance rejection control are adopted for the decoupled subsystem. By introducing the internal model compensator and the gain to compensate the time delay, the dependence of the system upon the model is reduced .The model mismatch, external disturbance and uncertainties are suppressed by adjusting …

Modeling And Simulation For Prevention And Control Of Drug Abuse And Drug-Related Crime Based On System Dynamics, Liu Feng

Journal of System Simulation

Abstract: In the existing drug abuse dynamics models, the drug users are assumed to be permanent immune to drugs after rehabilitation and the possibility of the recovery drug users being susceptible again is neglected. To solve the problem, through the system dynamics (SD) method, the evolution process of the drug-related crowds is analyzed, and a relevant model based on the transient immunity is constructed. The trends of the drug abuse and drug-related crime are predicted by the simulation experiments, and the sensitivity analysis indicates that the rate of contact and exposure to drugs is the most sensitive factor of the …

A Route Recovery Mechanism Using Hybrid Anti-Interference Method, Ziwen Sun, Yanqi Zhang, Yimin Xu

Journal of System Simulation

Abstract: Aiming at the jamming attacks in the industrial wireless sensor networks, a route recovery mechanism based on the WirelessHART graph routing is proposed. The jamming attack detection method is used to obtain the node and area being attacked by the jamming attack, the uncoordinated frequency hopping spread spectrum is used to generate the frequency hopping sequence of the node of being attacked by the jamming attack and that of the surrounding nodes, so that the traditional frequency hopping spread spectrum is performed on the nodes. Detects again, and combines the routing cost and the WirelessHART graph routing …

Non-Contact Object Size Acquisition Based On Visual-Inertial Sensor Fusion, Kang Lai, Yingmei Wei, Jiang Jie, Yuxiang Xie

Journal of System Simulation

Abstract: In consideration of the visual data and the data from the inertial measurement unit (IMU) having the different characteristics, the 6D pose of the visual sensor is recovered from the captured video by using the vision-based 3D reconstruction techniques, the obtained pose information and inertial measurements is fused via the spatial-temporal alignment, and based on the determined scale of the visual 3D reconstruction the non-contact measurement of a scene is performed. The proposed approach achieves a relative measurement error of about 3% in the non-contact object size estimation experiment. As it does not require the additional calibration object …

Optimization Design And Locomotion Characteristics Analysis Of Wheeled Traction Robot, Wu Wei, Li Bo, Nana Liu, Guangzhi Ma

Journal of System Simulation

Abstract: To evaluate quantitatively the dynamic locomotion characteristics and obstacle performance of the wheeled traction robot in horizontal well with single pipe diameter, the mechanical model of the crawling module of the wheeled traction robot is established and the structural and size parameters are optimized. The ADAMS model of the current robot is presented, and the Simulink models of three parts of the driving module, supporting mechanism and traction resistance are built. A specified method of the ADAMS/Simulink joint simulation modeling is proposed to analyze the locomotion characteristics and obstacle performance of the wheeled traction robot. The simulation results …

Prediction Of Flight Taxi-Out Time In A Busy Airport Based On Lwsvr, Zhiwei Xing, Songyue Jiang, Luo Qian, Luo Xiao

Journal of System Simulation

Abstract: Aiming at improving the accuracy of predicting the flight taxi-out time in a busy airport, based on the local regression and weighted support vector regression, a prediction model of the locally weighted support vector regression is proposed. The model uses the K nearest neighbor method to reduce the capacity of the training sample set and build a predictive model for each predicted sample. The bandwidth parameter of the Gaussian weighting function is optimized with the Mahalanobis distance between the forecast sample and training samples, and the weighting coefficients are obtained. Combining the airport departure flight data in simulation analysis, …

Two-Stage Dynamic Emergency And Disaster Resistance Operation Strategy For Active Distribution Network, Zhang Wei, Li Quan, Yuqiu Zhou, Yuhang Luo, Peifeng Xi

Journal of System Simulation

Abstract: The persistence and gradual change of the typhoons and other dynamic disasters, increase the complexity of the fault recovery process. In order to quickly restore the power to the active distribution network, a two-stage dynamic emergency operational strategy is proposed and the corresponding overall optimization model is established. The strategy includes the resource allocation plan, island partition scheme and cooperative scheme of the emergency repair and restoration. In the first stage, the pre-disaster resource allocation plan is made according to the travel time and attribute matching situation between the disaster-stricken areas and the repair resources. In the second stage, …

Simulation Research On Effectiveness Of Reward And Punishment Strategy In Open-Pit Mines, Xingxin Nie, Cunrui Bai

Journal of System Simulation

Abstract: Mining safety accidents occur frequently, and one of the main causes is the miners' Intentional Unsafe Behavior (IUB), and therefore implementing the reward and punishment strategy on it is the key coping strategy. In order to study how the reward and punishment strategy acts on the Intentional Unsafe Behavior (IUB) of the miners and how effective the strategy is, based on the Behavioral Economics + IUB Diffusion Theory, combined with the Multi-Agent model to analyze the influencing factors of the miners' IUB, and based on the work situation adaptability function and the unsafe behavior adaptability function, the simulation model …

Model And Simulation Of Interactive Dissemination Of Multiple Public Opinion Information Under Government Intervention, Zhiying Wang, Weikang Wang, Chaolong Yue

Journal of System Simulation

Abstract: In order to identify the interactive dissemination rules of the multiple public opinion information (POI) in major emergencies and make the intervention decisions more pertinently, an intervention model of interactive dissemination is proposed. The model integrates the characteristics of the unequal competition of multiple POI, expands the existing intervention model of the single POI dissemination, and could analyze the intervention measures from the global perspective of the interactive dissemination. Case analysis and simulation results show that the proposed model could well simulate the evolution of the interactive transmission of the multiple POI. Although the strong POI is more harmful …

Synergistic Use Of Remote Sensing And Modeling For Estimating Net Primary Productivity In The Red Sea With Vgpm, Eppley-Vgpm, And Cbpm Models Intercomparison, Wenzhao Li, Surya Prakash Tiwari, Hesham El-Askary, Mohamed Ali Qurban, Vassilis Amiridis, K. P. Manikandan, Michael J. Garay, Olga V. Kalashnikova, Thomas C. Piechota, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

Primary productivity (PP) has been recently investigated using remote sensing-based models over quite limited geographical areas of the Red Sea. This work sheds light on how phytoplankton and primary production would react to the effects of global warming in the extreme environment of the Red Sea and, hence, illuminates how similar regions may behave in the context of climate variability. study focuses on using satellite observations to conduct an intercomparison of three net primary production (NPP) models--the vertically generalized production model (VGPM), the Eppley-VGPM, and the carbon-based production model (CbPM)--produced over the Red Sea domain for the 1998-2018 time period. …

Decision Tree For Predicting The Party Of Legislators, Afsana Mimi

Publications and Research

The motivation of the project is to identify the legislators who voted frequently against their party in terms of their roll call votes using Office of Clerk U.S. House of Representatives Data Sets collected in 2018 and 2019. We construct a model to predict the parties of legislators based on their votes. The method we used is Decision Tree from Data Mining. Python was used to collect raw data from internet, SAS was used to clean data, and all other calculations and graphical presentations are performed using the R software.

Shakespeare In The Eighteenth Century: Algorithm For Quotation Identification, Marion Pauline Chiariglione

Graduate Theses and Dissertations

Quoting a borrowed excerpt of text within another literary work was infrequently done prior to the beginning of the eighteenth century. However, quoting other texts, particularly Shakespeare, became quite common after that. Our work develops automatic approaches to identify that trend. Initial work focuses on identifying exact and modified sections of texts taken from works of Shakespeare in novels spanning the eighteenth century. We then introduce a novel approach to identifying modified quotes by adapting the Edit Distance metric, which is character based, to a word based approach. This paper offers an introduction to previous uses of this metric within …

An Fpga-Based Hardware Accelerator For The Digital Image Correlation Engine, Keaten Stokke

Graduate Theses and Dissertations

The work presented in this thesis was aimed at the development of a hardware accelerator for the Digital Image Correlation engine (DICe) and compare two methods of data access, USB and Ethernet. The original DICe software package was created by Sandia National Laboratories and is written in C++. The software runs on any typical workstation PC and performs image correlation on available frame data produced by a camera. When DICe is introduced to a high volume of frames, the correlation time is on the order of days. The time to process and analyze data with DICe becomes a concern when …

Predicting Disease Progression Using Deep Recurrent Neural Networks And Longitudinal Electronic Health Record Data, Seunghwan Kim

McKelvey School of Engineering Graduate Student Theses & Dissertations

Electronic Health Records (EHR) are widely adopted and used throughout healthcare systems and are able to collect and store longitudinal information data that can be used to describe patient phenotypes. From the underlying data structures used in the EHR, discrete data can be extracted and analyzed to improve patient care and outcomes via tasks such as risk stratification and prospective disease management. Temporality in EHR is innately present given the nature of these data, however, and traditional classification models are limited in this context by the cross-sectional nature of training and prediction processes. Finding temporal patterns in EHR is especially …

Development Of Fully Balanced Ssfp And Computer Vision Applications For Mri-Assisted Radiosurgery (Mars), Jeremiah Sanders

Dissertations and Theses (Open Access)

Prostate cancer is the second most common cancer in men and the second-leading cause of cancer death in men. Brachytherapy is a highly effective treatment option for prostate cancer, and is the most cost-effective initial treatment among all other therapeutic options for low to intermediate risk patients of prostate cancer. In low-dose-rate (LDR) brachytherapy, verifying the location of the radioactive seeds within the prostate and in relation to critical normal structures after seed implantation is essential to ensuring positive treatment outcomes.

One current gap in knowledge is how to simultaneously image the prostate, surrounding anatomy, and radioactive seeds within the …

Knot Flow Classification And Its Applications In Vehicular Ad-Hoc Networks (Vanet), David Schmidt

Electronic Theses and Dissertations

Intrusion detection systems (IDSs) play a crucial role in the identification and mitigation for attacks on host systems. Of these systems, vehicular ad hoc networks (VANETs) are difficult to protect due to the dynamic nature of their clients and their necessity for constant interaction with their respective cyber-physical systems. Currently, there is a need for a VANET-specific IDS that meets this criterion. To this end, a spline-based intrusion detection system has been pioneered as a solution. By combining clustering with spline-based general linear model classification, this knot flow classification method (KFC) allows for robust intrusion detection to occur. Due its …