Engineering Commons^™

Design And Implementation Of Reconfigurable Video Array Processor Test Platform, Jiang Lin, Feilong He, Shan Rui, Wang Shuai, Haoyue Wu, Wu Xin

Journal of System Simulation

Abstract: Aiming at the design requirements of the reconfigurable video array processor and the problem of traditional method testing the video codec system with slow speed, low precision and poor observability. A Qt-based user interface is developed, and a hardware-software co-testing platform based on FPGA is designed and implemented. The platform realizes the data transmission and image reproduction based on the software simulation on the PC side, and the parallel mapping of the video encoding and decoding algorithms based on the reconfigurable video array processor on the FPGA side. The experiment results show that the data can be transmitted correctly …

Force/Position Hybrid Control Method For Surface Parts Polishing Robot, Yufeng Ding, Xinpu Min

Journal of System Simulation

Abstract: A force/position hybrid control method for polishing the complex surface with an industrial robot is put forward. The method can achieve the stable force control and precise position control to ensure the consistency of the material removal rate at different normal vectors. After the trajectory of the normal vector is planned in CAD software, the force signal feedback from the sensor and the PI controller in the normal vector direction are combined,and the robot end tool corrects the motion trajectory in the vector direction of the surface to indirectly control the contact force between the tool and the surface. …

Simulation And Analysis Of Kinematic Parameters Of Vehicle Offset And Rear-End Collision Accident, Wenhui Zhang, Yongmin Su, Shurui Sun

Journal of System Simulation

Abstract: In order to deeply study the motion behavior of vehicles in the rear-end collision, a vehicle rear end collision accident model is established in the PC-Crash simulation environment. Considering with the relative velocity, offset, speed of the rear-end vehicle and wheel angle, the acceleration, yaw angle and yaw rate of the vehicle are obtained. The research results show that when the bias degree is 20%, the yaw angles of the rear-end vehicle and rear tracked vehicle is the biggest, and is easy to induce the secondary accidents such as rollover and fixtures crash. The larger the relative …

Research On Dynamic Editable Method For Combat Simulation Model Combination, Wu Wei

Journal of System Simulation

Abstract: Focus on the low flexibility, interactivity and maneuverability of the combat simulation system, a dynamic editing method for the simulation model combination is proposed. This method is based on the technology of dynamic design of model combination, dynamic editing of simulation model combination and visual programming, which using the Interface-oriented and face-cut design in the model design to realize the flexible and high efficient combat modeling and simulation. A military ship model is designed as the experimental case, in which the feasibility and effectiveness of the proposed method are discussed and verified. The experiment results demonstrate that the method …

A New Interactive Simulation Method For Virtual Tape Measurement, Dongjin Huang, Chenfeng Jiang, Xianglong Wang, Linhui Gu

Journal of System Simulation

Abstract: The virtual tape measurement is an extremely important process in the industrial training systems, and the fidelity of the measurement depends on the stability of the grasp and the accuracy of the tape measure. Combined with the virtual hand, a new interactive simulation method for the virtual tape measurement is proposed and applied to the wind-driven generator alignment training simulation system. The fusion of the geometric rules and physical rules improves the grasping judgment method, and the quaternion adjusts the grasp gesture. Based on the 3D algorithm, the tape width uneven is solved by optimizing the vertex setting to …

Simulation On A Car-Following Strategy For Adaptive Cruise Control System, Zhiqiang Zhai, Jinliang Xu, Yuan Hao, Yongming Zhou, Longfei Zhao, Shiqian Wang

Journal of System Simulation

Abstract: A car-following strategy based on the variable distance is proposed to improve the applicability of the ACC (Adaptive cruise control) system. The curvature radius of centroid trajectory of the host vehicle is computed by the kinetic model based on the unscented Kalman filter. In order to identify the car-following object, a vehicle tracking model is presented according to the relative kinetic states between the front vehicle and the host vehicle. The ACC system adjust the velocity of the host vehicle to control the safe distance between the host vehicle and the object vehicle. A complex condition with the lane-changing …

Research On Sliding Mode Control Of Robotic Arm Based On Fractional Calculus, Zhang Xin, Jiaxin Li

Journal of System Simulation

Abstract: An effective fractional order sliding mode control method is proposed for the nonlinear and uncertain robotic arm system by combining the advantages of the fractional calculus theory and the sliding mode control strategy. In the design of the controller, the fractional calculus is introduced into the sliding mode control by using the fractional order reaching law and the fractional order sliding mode control law respectively, and is proved by the Lyapunov theory to ensure the stability of the system. The proposed control method is applied to a two-joint robotic arm and is verified by the MATLAB simulation software. The …

Screening And Characterization Of A Pan-Gtpase Inhibitor, Leyla Akhadov

Biomedical Engineering ETDs

Abnormal functioning of small GTPases is implicated in a variety of diseases, ranging from neurological and developmental diseases to cancer. In fact, mutant GTPases are found in up to 30% of cancers. Thus, small GTPases are a highly relevant target in drug discovery and development. High-throughput targeted screening of small molecules is the most productive method of discovering compounds that can give insights into drug development. This thesis describes improvements made to a high-throughput GTPase-targeted screening method to minimize confounding systematic error. It also describes the follow-up characterization of a compound that was identified in a high-throughput screen. The compound …

Nucleation Dynamics For Water Condensation On Hydrophobic Surfaces In The Presence Of Non-Condensable Gases, Xinyu Jiang

McKelvey School of Engineering Graduate Student Theses & Dissertations

The density and rate of nucleation (here-in called nucleation density rate) significantly influences the heat transfer performance during dropwise condensation, as more than 70% of the total heat transfer happen for droplets smaller than 10 μm. Based on the classical nucleation theory, supersaturation strongly influences nucleation dynamics. However, the presence of non-condensable gas can strongly reduce the nucleation density rate by forming a vapor-depleted gas diffusion layer. Therefore, this work studied the relationship between nucleation density rate and supersaturation ratio during dropwise condensation on subcooled smooth hydrophobic surfaces with the presence of non-condensable gases in a custom-built condensation chamber. High-speed …

Ultrasound Guided Diffuse Optical Tomography For Breast Cancer Diagnosis: Algorithm Development, K M Shihab Uddin

McKelvey School of Engineering Graduate Student Theses & Dissertations

According to National Breast Cancer Society, one in every eight women in United States is diagnosed with breast cancer in her lifetime. American Cancer Society recommends a semi-annual breast-cancer screening for every woman which can be heavily facilitated by the availability of low-cost, non-invasive diagnostic method with good sensitivity and penetration depth. Ultrasound (US) guided Diffuse Optical Tomography (US-guided DOT) has been explored as a breast-cancer diagnostic and screening tool over the past two decades. It has demonstrated a great potential for breast-cancer diagnosis, treatment monitoring and chemotherapy-response prediction. In this imaging method, optical measurements of four different wavelengths are …

Joint Estimation Of Attenuation And Scatter For Tomographic Imaging With The Broken Ray Transform, Michael Ray Walker

McKelvey School of Engineering Graduate Student Theses & Dissertations

The single-scatter approximation is fundamental for many tomographic imaging problems. This class broadly includes x-ray scattering imaging and optical scatter imaging for certain media. In all cases, noisy measurements are affected by both local events and nonlocal attenuation. Related applications typically focus on reconstructing one of two images: scatter density or total attenuation. However, both images are media specific. Both images are useful for object identification. Knowledge of one image aides estimation of the other, especially when estimating images from noisy data.Joint image recovery has been demonstrated analytically in the context of the broken ray transform (BRT) for attenuation and …

Exploring Attacks And Defenses In Additive Manufacturing Processes: Implications In Cyber-Physical Security, Nicholas Deily

McKelvey School of Engineering Graduate Student Theses & Dissertations

Many industries are rapidly adopting additive manufacturing (AM) because of the added versatility this technology offers over traditional manufacturing techniques. But with AM, there comes a unique set of security challenges that must be addressed. In particular, the issue of part verification is critically important given the growing reliance of safety-critical systems on 3D printed parts. In this thesis, the current state of part verification technologies will be examined in the con- text of AM-specific geometric-modification attacks, and an automated tool for 3D printed part verification will be presented. This work will cover: 1) the impacts of malicious attacks on …

Predicate Informed Syntax-Guidance For Semantic Role Labeling, Sijia Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

In this thesis, we consider neural network approaches to the semantic role labeling task in seman-tic parsing. Recent state-of-the-art results for semantic role labeling are achieved by combiningLSTM neural networks and pre-trained features. This work offers a simple BERT-based modelwhich shows that, contrary to the popular belief that more complexity means better performance,removing LSTM improves the state of the art for span-based semantic role labeling. This modelhas improved F1 scores on both the test set of CoNLL-2012, and the Brown test set of CoNLL-2005 by at least 3 percentage points.In addition to this refinement of existing architectures, we also propose …

Exploring Usage Of Web Resources Through A Model Of Api Learning, Finn Voichick

McKelvey School of Engineering Graduate Student Theses & Dissertations

Application programming interfaces (APIs) are essential to modern software development, and new APIs are frequently being produced. Consequently, software developers must regularly learn new APIs, which they typically do on the job from online resources rather than in a formal educational context. The Kelleher–Ichinco COIL model, an acronym for “Collection and Organization of Information for Learning,” was recently developed to model the entire API learning process, drawing from information foraging theory, cognitive load theory, and external memory research. We ran an exploratory empirical user study in which participants performed a programming task using the React API with the goal of …

Application Of Photoacoustic Imaging In Understanding Tissue Remodeling, Yuan Qu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Photoacoustic Imaging (PAI) as an imaging method in biomedical research can provide high spatial resolution, various contrasts, great detection sensitivity, and deep penetration. These advantages are attributed to the combination of optical excitation and acoustic detection, which releases PAI from the ballistic limit faced by other optical imaging technique with high spatial resolution. In this dissertation, we aim to apply this technique to understand the connective tissue remodeling that is a ubiquitous physiological change in various medical complications.Chapter 1 elaborates the mechanism of PAI as well as the motivation of my dissertation.In Chapter 2, I introduce a new contrast mechanism …

Applying Bayesian Techniques To The Optimization Of Parameterized Quantum Circuits, Arthur Rattew

McKelvey School of Engineering Graduate Student Theses & Dissertations

In this work, we explore the challenges faced when creating quantum algorithms for near-term quantum computers. We examine the characteristics of problems that are amenable to such advantage, and the limitations of existing approaches. Additionally, we explore the importance of the classical optimizer in the Variational Quantum Eigensolver (VQE), and propose a Bayesian method to optimally configure a single parameter in a given quantum circuit. Experimental testing confirms that our method is significantly more tolerant to noise than the existing analytical approach and its variants (p < 0.008).

Numerical Investigation Of Wind Turbine Airfoils Under Clean And Dusty Air Conditions, Siyuan Chen

McKelvey School of Engineering Graduate Student Theses & Dissertations

The focus of research in this thesis is on numerical simulation of airflow around wind turbine airfoils (S809, S814 and S1210) under both clean and dusty air conditions by using Computational Fluid Dynamics (CFD). The physical geometries of the airfoils and the meshing processes are completed in the ANSYS Mesh package ICEM. The simulations and post-processing are done by ANSYS FLUENT. For cases of clean air condition, Spalart–Allmaras (SA), realizable k-ε and Wray-Agarwal (WA) turbulence models are employed in the calculations. The results are compared with the experimental data for validation. For dusty air condition, simulation of the two-phase flow …

The Impact Of A Smartlab Implementation On Rural Schools In North Dakota, Tonya M. Greywind

Dissertations, Theses, and Projects

This mixed methods quasi-experimental phenomenological study investigated the impact that a SmartLab® implementation had on four rural schools in the state of North Dakota. This study featured semi structured interview questions for facilitators, semi-structured focus group questions for students, and a digital literacy pre and post assessment (DLA) that was administered to students. This study looked at student learning in terms of twenty-first century skills, teacher and student perspectives in terms of student learning as well as teacher perspectives on the impact of the SmartLab® on their own teaching methods.

Two facilitators from two of the four schools were interviewed …

Structure, Thermophysical Properties Of Liquids, And Their Connection With Glass Formability, Rongrong Dai

McKelvey School of Engineering Graduate Student Theses & Dissertations

Metallic glasses have drawn significant attention due to their unique properties, such as high strength, excellent elastic energy storage capacity, and versatile processability. However, why some liquids can easily form metallic glasses while others donմ is still unclear. Since metallic glasses are formed when liquids are cooled fast enough to bypass crystallization, we hope to better understand glass formation by investigating the structural evolution and thermophysical properties of the liquids as they are cooled toward the glass transition. Multiple molecular dynamics simulations suggest a crossover temperature for the dynamics near the liquidus temperature, which corresponds to the onset of cooperative …

A Quantile-Based Approach For Transmission Expansion Planning, Jairo Cervantes, F. Fred Choobineh

Department of Electrical and Computer Engineering: Faculty Publications

Transmission expansion planning is an integral part of power system planning and consists of generating and selecting transmission proposals for maintaining sufficient transmission capacity to satisfy the electric load. Specifically, the desire to increase the use of renewable energy has exposed the limitations of transmission networks and has elevated the importance of transmission expansion planning. However, considering the random nature of renewable sources in conjunction with the power outages makes the planning process very challenging. We present a new procedure for selecting the best transmission enhancement proposal from a set of finite proposals under uncertainty. The selection is based on …

Joint-Srvdnet: Joint Super Resolution And Vehicle Detection Network, Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, Nasser M. Nasrabadi

Department of Electrical and Computer Engineering: Faculty Publications

In many domestic and military applications, aerial vehicle detection and super-resolution algorithms are frequently developed and applied independently. However, aerial vehicle detection on super resolved images remains a challenging task due to the lack of discriminative information in the super-resolved images. To address this problem, we propose a Joint Super-Resolution and Vehicle Detection Network (Joint SRVDNet) that tries to generate discriminative, high-resolution images of vehicles from low-resolution aerial images. First, aerial images are up-scaled by a factor of 4x using a Multi-scale Generative Adversarial Network (MsGAN), which has multiple intermediate outputs with increasing resolutions. Second, a detector is trained on …

Mechanical Analysis And Modeling Of Porous Thermal Barrier Coatings, Shiyu Cui, Wenping Liang, Luis Saucedo Mora, Qiang Miao, Joseph P. Domblesky, Hao Lin, Lijia Yu

Mechanical Engineering Faculty Research and Publications

Thermal barrier coatings (TBCs) are applied to the surface of components that are used in gas turbines and aircraft engines in order to increase the heat load. In this study, the cross-sectional microstructures of TBCs were investigated via scanning electron microscopy. After calculating the porosity and the pore size distribution, a two-dimensional finite element model with four different porosities (0, 1, 3, and 5%) were established. A stochastic method was used to generate a randomly distributed porous structure. Based on the results of FE analysis and nanoindentation tests, It was found that, at a high porosity (>3%), radial cracks …

Modeling Analysis And Prediction On Ncp Epidemic Transmission, Huaxiong Sheng, Wu Lin, Changliang Xiao

Journal of System Simulation

Abstract: The modeling analysis on the NCP (Novel Coronavirus Pneumonia) epidemic transmission before and after the closure of Wuhan is presented. On the basis of preprocessing the epidemic data, the classical SIR model and differential recurrence method are used to analyze and forecast the epidemic situation in the stage of control. The theoretical value and measured value fits well. In the stage of free transmission, the logistic model is used to compare and analyze the epidemic data five days in advance or later with the actual data to show the importance of taking the epidemic prevention measures in time. The …

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 …