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Articles 9061 - 9090 of 25628

Full-Text Articles in Computer Engineering

Force/Position Hybrid Control Method For Surface Parts Polishing Robot, Yufeng Ding, Xinpu Min May 2020

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. …

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Simulation And Analysis Of Kinematic Parameters Of Vehicle Offset And Rear-End Collision Accident, Wenhui Zhang, Yongmin Su, Shurui Sun May 2020

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 …

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Research On Dynamic Editable Method For Combat Simulation Model Combination, Wu Wei May 2020

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 …

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A Quantile-Based Approach For Transmission Expansion Planning, Jairo Cervantes, F. Fred Choobineh May 2020

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 …

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Joint-Srvdnet: Joint Super Resolution And Vehicle Detection Network, Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, Nasser M. Nasrabadi May 2020

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 …

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Modeling Analysis And Prediction On Ncp Epidemic Transmission, Huaxiong Sheng, Wu Lin, Changliang Xiao May 2020

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 …

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Optimization Algorithm Based On Human Infection With Avian Influenza, Guangqiu Huang, Qiuqin Lu May 2020

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 Su-Su, Iu-Iu, Su-Iu, Iu-Su, Su-Du, Iu-Du, and to enable the individuals to exchange information among the same species and cross-species. The Su-Su and Iu-Iu operators …

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Research On Failure Modes Analysis Based On Weighted Evidence Theory, Lulu Shao, Jihong Han, Niu Kan, Xiaohu Liu, Shao Fang May 2020

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 …

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Design Of Virtual Training System For Horizontally Oriented Drill Based On Unity3d, Guojun Wen, Xia Yu, Yudan Wang, Zifei Hu, Wu Dan May 2020

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 …

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High-Fidelity Simulation Of Video-Assisted Thoracoscopic Surgery Lobectomy, Peng Liu, Weixin Si, Zheng Rui, Xiangyun Liao, Dongliang Xu, Ping'an Wang May 2020

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 …

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Application Of Improved Inverse Decoupling Active Disturbance Rejection Internal Model Control In Grinding, Zhou Ying, Qiaojuan Jia, Zhang Yan, Mingxin Chang May 2020

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 …

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Modeling And Simulation For Prevention And Control Of Drug Abuse And Drug-Related Crime Based On System Dynamics, Liu Feng May 2020

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 …

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A Route Recovery Mechanism Using Hybrid Anti-Interference Method, Ziwen Sun, Yanqi Zhang, Yimin Xu May 2020

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 …

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Non-Contact Object Size Acquisition Based On Visual-Inertial Sensor Fusion, Kang Lai, Yingmei Wei, Jiang Jie, Yuxiang Xie May 2020

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 …

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Optimization Design And Locomotion Characteristics Analysis Of Wheeled Traction Robot, Wu Wei, Li Bo, Nana Liu, Guangzhi Ma May 2020

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 …

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Prediction Of Flight Taxi-Out Time In A Busy Airport Based On Lwsvr, Zhiwei Xing, Songyue Jiang, Luo Qian, Luo Xiao May 2020

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, …

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Two-Stage Dynamic Emergency And Disaster Resistance Operation Strategy For Active Distribution Network, Zhang Wei, Li Quan, Yuqiu Zhou, Yuhang Luo, Peifeng Xi May 2020

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, …

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Simulation Research On Effectiveness Of Reward And Punishment Strategy In Open-Pit Mines, Xingxin Nie, Cunrui Bai May 2020

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 …

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Model And Simulation Of Interactive Dissemination Of Multiple Public Opinion Information Under Government Intervention, Zhiying Wang, Weikang Wang, Chaolong Yue May 2020

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 …

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Rapid Restoration Techniques For Software-Defined Networks, Ali Malik, Ruairí De Fréin, Benjamin Aziz May 2020

Rapid Restoration Techniques For Software-Defined Networks, Ali Malik, Ruairí De Fréin, Benjamin Aziz

Articles

There is increasing demand in modern day business applications for communication networks to be robust and reliable due to the complexity and critical nature of such applications. As such, data delivery is expected to be reliable and secure even in the harshest of environments. Software-Defined Networking (SDN) is gaining traction as a promising approach for designing network architectures which are robust and flexible. One reason for this is that separating the data plane from the control plane, increases the controller’s ability to configure the network rapidly. When network failure events occur, the network manager may trade-off the optimality of the …

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Trading Up: Exchanging Our Data For A Better Life, Nathan Turner May 2020

Trading Up: Exchanging Our Data For A Better Life, Nathan Turner

Marriott Student Review

We live in a data-driven economy. Many people feel like consumers are on the losing end of an economic data-battle with tech giants, but this is simply not true; our data can drive innovation. That’s right—personal data collected from you and me can influence new technologies that will improve our lives. This should excite us, but our fear of losing data privacy can quell our excitement for progress and even restrict innovation. Our quality of life has already begun to improve through data driven innovation, and technological progress is not slowing down. If we let our fear of losing data …

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Stochastic Simulation Of Cellular Metabolism, Emalie J. Clement, Thomas T. Schulze, Ghada A. Soliman, Beata Joanna Wysocki, Paul H. Davis, Tadeusz A. Wysocki May 2020

Stochastic Simulation Of Cellular Metabolism, Emalie J. Clement, Thomas T. Schulze, Ghada A. Soliman, Beata Joanna Wysocki, Paul H. Davis, Tadeusz A. Wysocki

Department of Electrical and Computer Engineering: Faculty Publications

Increased technological methods have enabled the investigation of biology at nanoscale levels. Such systems require the use of computational methods to comprehend the complex interactions that occur. The dynamics of metabolic systems have been traditionally described utilizing differential equations without fully capturing the heterogeneity of biological systems. Stochastic modeling approaches have recently emerged with the capacity to incorporate the statistical properties of such systems. However, the processing of stochastic algorithms is a computationally intensive task with intrinsic limitations. Alternatively, the queueing theory approach, historically used in the evaluation of telecommunication networks, can significantly reduce the computational power required to generate …

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Security Camera Using Raspberry Pi, Tejendra Khatri May 2020

Security Camera Using Raspberry Pi, Tejendra Khatri

Student Academic Conference

No abstract provided.

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Predictive Analysis Of Ethanol Prices With Machine Learning, Benjamin Schilling May 2020

Predictive Analysis Of Ethanol Prices With Machine Learning, Benjamin Schilling

Student Academic Conference

Overview of a predictive analysis regression developed using machine learning alongside ETL process techniques.

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Estimating The Tempo Of Audio Files, Parker Ostertag May 2020

Estimating The Tempo Of Audio Files, Parker Ostertag

Student Academic Conference

On the market today, there exists a multitude of software that allows for the detection and prediction of beats per minute (BPM) contained in audio files. There are both free and monetized versions of these programs, but there is one thing that they all have in common: they are inaccurate. This is simply because the science behind beat detection is unfinished, and may never be. In this project, I decided to use a method of audio peak detection to help me detect the tempo that may exist in any audio file. I started by researching existing programs and the science …

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Analysis And Design Of A Soft Switching Z-Source Boost Dc-Dc Converter, Mahdi Rezvanyvardom, Amin Mirzaei May 2020

Analysis And Design Of A Soft Switching Z-Source Boost Dc-Dc Converter, Mahdi Rezvanyvardom, Amin Mirzaei

Emirates Journal for Engineering Research

This paper proposes a high step-up fully soft switched Z-source Boost DC-DC converter, which uses two resonant paths to create soft switching conditions for switches and diodes and also increases the voltage gain. The proposed converter only has one switch, so it has a simple structure. Furthermore, its control circuit remains pulse width modulation. Since soft switching conditions are provided for all switching elements, the converter efficiency is very high. This converter also has all advantages of Z-source converters. The converter is analyzed and simulated in PSPICE software. The results confirm the aforementioned advantages and features of the proposed converter

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Ml-Medic: A Preliminary Study Of An Interactive Visual Analysis Tool Facilitating Clinical Applications Of Machine Learning For Precision Medicine, Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo, Erik Linstead May 2020

Ml-Medic: A Preliminary Study Of An Interactive Visual Analysis Tool Facilitating Clinical Applications Of Machine Learning For Precision Medicine, Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo, Erik Linstead

Engineering Faculty Articles and Research

Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired Care (ML-MEDIC), a point-and-click, interactive tool with a visual interface for facilitating machine learning and statistical analyses in clinical research. We deployed ML-MEDIC in the American Heart Association (AHA) Precision Medicine Platform to provide secure internet access and facilitate collaboration. ML-MEDIC’s efficacy for facilitating the adoption of machine learning was evaluated through two case studies in collaboration with clinical domain experts. A domain expert review was also …

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Methods To Detect Forgeries In Static Signatures, Jennifer Lauriello May 2020

Methods To Detect Forgeries In Static Signatures, Jennifer Lauriello

Honors Theses

Statistical and machine learning approaches to forgery detection in offline sig- natures are attempted and evaluated. Offline signatures are static signatures found on physical media, mainly a piece of paper. A dataset of 330 signatures for 33 people is used, containing five genuine and five forged signatures for each person. The statistical analysis approach proves more successful than a machine learning approach, likely due to the size of the dataset.

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Implementation Of A Computer-Vision System As A Supportive Diagnostic Tool For Parkinson’S Disease, Diego Machado Reyes May 2020

Implementation Of A Computer-Vision System As A Supportive Diagnostic Tool For Parkinson’S Disease, Diego Machado Reyes

Honors Theses

Parkinson’s disease is the second most common neurodegenerative disorder, affecting nearly 1 million people in the US and it is predicted that the number will keep increasing. Parkinson’s disease is difficult to diagnose due to its similarity with other diseases that share the parkinsonian symptoms and the subjectivity of its assessment, thus increasing the probabilities of misdiagnosis. Therefore, it is relevant to develop diagnostic tools that are quantitatively based and monitoring tools to improve the patient’s quality of life. Computer-based assessment systems have shown to be successful in this field through diverse approaches that can be classified into two main …

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Empirical Evaluation Of Vehicle Detection, Tracking And Recognition Algorithms Operating On Real Time Video Feeds, Yunik Tamrakar May 2020

Empirical Evaluation Of Vehicle Detection, Tracking And Recognition Algorithms Operating On Real Time Video Feeds, Yunik Tamrakar

Honors Theses

A traffic surveillance camera system is an important part of an intelligent transportation system.(Zhang et al., 2013) This system is capable of performing useful object detections on the incoming feed. These detected objects can then be used for tracking purposes which forms the basis for monitoring important traffic data such as collisions, vehicle count, pedestrian count and so on. Furthermore, other additional information such as the weather conditions, time of day as well as date can also be extracted from a live feed. (Sun et al., 2004) Different algorithms can yield different results for any given video input. Not only …

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