Numerical Analysis and Scientific Computing Commons^™

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 …

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 …

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.

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. …

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 …

Polyhedral+Dataflow Graphs, Eddie C. Davis

Boise State University Theses and Dissertations

This research presents an intermediate compiler representation that is designed for optimization, and emphasizes the temporary storage requirements and execution schedule of a given computation to guide optimization decisions. The representation is expressed as a dataflow graph that describes computational statements and data mappings within the polyhedral compilation model. The targeted applications include both the regular and irregular scientific domains.

The intermediate representation can be integrated into existing compiler infrastructures. A specification language implemented as a domain specific language in C++ describes the graph components and the transformations that can be applied. The visual representation allows users to reason about …

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 …

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 …

Multi-Objective Signal Timing Optimal Model For Rural-Urban Fringe Area Intersection, Xiaoyu Zhang, Chunfu Shao

Journal of System Simulation

Abstract: With the acceleration of the urbanization process in our country, the road traffic problems in the urban-rural fringe area are becoming serious. In order to improve the traffic efficiency, environmental benefits and traffic safety, a multi-objective optimal model for signal timing is established under the comprehensive consideration of several factors, such as the delay, capacity, number of stops and vehicle emissions. The genetic algorithm is used to solve the problem. A typical intersection is taken as the example for the analysis and the improved design schemes can be achieved and evaluated by the road traffic simulation. The …

Lightmap-Based Gi Collaborative Rendering System For Web3d Application, Shao Wei, Liu Chang, Jinyuan Jia

Journal of System Simulation

Abstract: For the real-time dynamic lighting rendering in low-end web environment, a view-independent collaborative real-time rendering system is presented. The whole system consists of a cloud renderer which produces the global illumination, a web renderer which computes the local illumination, and a scalable collaboration solution which takes the user behavior into account to adjust the range and frequency of the lighting computation. The cloud renderer computes the lighting data into the Lightmap, streams the Lightmap to the web client. After computing the direct light, the web renderer achieves the global illumination information by Sampling the Lightmap, and shows the …

Thinking On Digital Twin For Weapon System, Junhua Zhou, Junjie Xue, Heyu Li, Ji Hang, Tingyu Lin, Guoqiang Shi

Journal of System Simulation

Abstract: The main development process of the digital twin technology is reviewed and its necessity for the weapon system is put forward. The definition and composition of the digital twin for the weapon system is given and its application architecture and key technologies, such as the construction of the digital thread, bi-directional collaborative simulation and control, intelligent autonomous evolution, digital twin operation support based on the container-simulation-cloud, et al, are analyzed. The preliminary research and practice of some key technologies is expounded, and the future research directions are summarized and looked forward to.

Modeling And Propeller Location Optimization For Diving Propeller Vehicle, Jianjun Zhang, Yang Bing, Jinhui Wu, Yan Qiang

Journal of System Simulation

Abstract: Focus on the rapid physical exertion and the poor flexibility of diving propeller vehicle, a wearable diving propeller equipped with buoyancy control devices is proposed, and the position of the propeller in the device is optimized. The human body structure is regarded as a rigid body to establish a spatial 6-degree-of-freedom motion equation, and its surrounding hydrodynamic performance is analyzed. The hydrodynamic parameters in the model are obtained based on the FLUENT. The propeller position optimization model based on the minimum external force of rectilinear diving and slewing motions is established. The optimization results demonstrate that the optimized …

Research On Image Description Method Based On Neural Network, Kong Rui, Xie Wei, Lei Tai

Journal of System Simulation

Abstract: The automatic recognition and automatically describing image content is an important research direction to the artificial intelligence to connect the computer vision and the natural language processing. A method of describing the image content is proposed to generate the natural language by using the deep neural network model. The model consists of a convolutional neural network (CNN) and a recurrent neural network (RNN). The CNN is used to extract features of the input image to generate a fixed-length feature vector, which initializes the RNN to generate the sentences. Experimental results on the MSCOCO image description dataset show the syntactic …

Multi-Objective Dynamic Programming Algorithm Of Energy-Efficient Scheduling For Tow-Train, Xinyan Zhang, Yuqing Zhou

Journal of System Simulation

Abstract: To balance the performance and energy consumption of the mixed-model assembly lines effectively, a multi-objective energy-saving scheduling method for the tow-train is proposed. The energy-saving objective is introduced into the traditional material handling scheduling model for the tow-train and a multi-objective mixed integer programming model is constructed with two objective functions of minimizing the maximum line-side inventory and the total energy consumption. A forwards multi-objective dynamic programming based on the time window and dominance rules is presented to obtain the Pareto solutions: the definition for new states is given to obtain the Markov property, the time window and dominance …

Design Of Space-Based Surveillance Distributed Simulation System For Space Targets, Zhang Yang, Qingbo Gan, Yuan Hong, Jiangliang Fu, Chengming Sun

Journal of System Simulation

Abstract: Following the wide application of the HLA in the aerospace system simulation, the space-based surveillance distributed simulation system for the space targets based on the HLA is designed. In the infrastructure design level, the hierarchical structure including data layer, model layer and mission layer are designed. In the system design level, the simulation control members, space-based surveillance member, space target member, optical payload member, and visual simulation member are divided and confirmed. The orbit dynamics and maneuvering model, attitude dynamics and control model, payload pointing and optical imaging model are established. In system implement level, the …

One Design Mode Of Highly Configurable Modular Simulation System, Chunsheng Hu, Chengdong Xu, Penfei Zhang

Journal of System Simulation

Abstract: The computer simulation technology is an essential verification way to the design, construction and application optimization of the modern complex system. Following the continuous growing complexity of the system, the higher requirement on the configurability of the simulation system is needed to face the rapidly change. Based on the analysis on the configurability and some coupling factors with the adverse effect, a design mode of highly configurable and open and easy to expend modular simulation system is proposed. The results show that, despite the cost of some real-time performance, the design mode can realize the high configurability of the …