Engineering Commons^™

Noise Clipping Algorithm Based On Relative Contribution Rate, Shuoyu Liu, Yueming Dai

Journal of System Simulation

Abstract: This paper presents a class noise cutting algorithm (Class noise cutting, CNC) based on relative contribution rate. The algorithm calculates the relative contribution rate of features to the theme. The most valuable feature set is selected by using features distinguish rating. The corresponding candidate categories for each feature are selected, to reduece the candidate category set, improves the classification accuracy, and speed up the response speed of the classifier. Compared with another ECN noise cutting algorithm (Eliminating the class whose), CNC-has higher accuracy and because of its simpler feature dimension dictionary and better candidate category set, the response …

Study On Data-Driven Orca Preference Velocity, Wang Jie, Bin Chen, Yuan Peng, Ma Liang, Xiaogang Qiu

Journal of System Simulation

Abstract: Crowd evacuation is an important aspect of emergency management. Because of economic and safety reasons, emergency evacuation drill cannot be carried out repeatedly, however modeling and simulation has the obvious advantages of low cost, high repeatability, etc. Optimal Reciprocal Collision Avoidance (ORCA) is a velocity-based Collision Avoidance method, which has fine granularity and high computational efficiency, and is widely used in robot collision avoidance and other domains. In this paper, ORCA is introduced into crowd evacuation simulation, and the optimal parameters of ORCA under different kinds of speed strategies are identified by data-driven method. The optimal strategy …

System Dynamics Modeling For Simulation Of Water Supply And Demand Relationship In Beijing, Longxi Luo, Jianping Wu, Chen Yun, Zhe Xu

Journal of System Simulation

Abstract: Beijing is a metropolis and the center of politics and education of China. However, located in the region with a low level of rainfall, Beijing has been struggling with supplying water resources to meet its growing demand. The past and future trend of the water supply and demand balance in Beijing is studied. Historical data is collected and compiled for learning its past behaviors. The system dynamics (SD) modeling can simulate the complicated and integrated relationships in water supply and demand system. An SD model is then constructed based on compiled historical data. The SD model is validated by …

Intelligent Sandbox For Geography Teaching, Xianli Ji, Yulong Ding, Shuanghua Yang

Journal of System Simulation

Abstract: An intelligent sandbox geography teaching demonstration system combining the augmented reality technology and related geographic knowledge is designed and implemented on the Unity3D platform. The system has functions of deep data processing, projection matrix transformation, terrain rendering, fluid simulation, physical characteristics, adding entities along the slope, changes in sunshine angle, gesture interaction, etc., which can render virtual terrain and scene in real time according to the change of the sandbox. Students can interact with the system in projection correction, adding entities, seasonal switching, weather effects, disaster simulation and other scenarios and learn knowledge points such as contour lines, …

Spatiotemporal Mode Analysis Of Urban Dockless Shared Bikes Based On Point Of Interests Clustering, Zhang Fang, Bin Chen, Yanghua Tang, Dong Jian, Chuan Ai, Xiaogang Qiu

Journal of System Simulation

Abstract: The city’s dockless shared bikes have developed rapidly, and its features of convenience, economy and efficiency have been widely welcomed. The digital footprint they generate reveals the movement of people in time and space within the city, which makes it possible to quantify the activities of people in the city using shared bikes. In this paper, based on the collected shared bikes data of Beijing, a clustering method based on the point of interests is proposed to divide the urban space, so as to construct a mobile network of urban shared bikes, and analysis the spatiotemporal mode of bike …

Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi

Journal of System Simulation

Abstract: In order to further improve the vehicle positioning accuracy and adaptability to the environment, V2X (vehicle to everything) communication network is used for auxiliary positioning to enhance the GPS/DR integrated positioning. Firstly, the three subsystems of GPS, DR and V2X auxiliary positioning independently perform filtering estimation, and then a better estimation from the GPS and V2X auxiliary positioning is selected to conduct global optimal fusion with DR, and finally the three sub-filters are reset with the feedback of the optimal result. Simulation results show that when the GPS signal is seriously affected by multipath interference, the positioning performance of …

Co2 Hydrogenation To High-Value Products Via Heterogeneous Catalysis, Run-Ping Ye, Jie Ding, Weibo Gong, Morris D. Argyle, Qin Zhong, Yujun Wang, Christopher K. Russell, Zhenghe Xu, Armistead G. Russell, Qiaohong Li, Maohong Fan, Yuan-Gen Yao

Faculty Publications

Recently, carbon dioxide capture and conversion, along with hydrogen from renewable resources, provide an alternative approach to synthesis of useful fuels and chemicals. People are increasingly interested in developing innovative carbon dioxide hydrogenation catalysts, and the pace of progress in this area is accelerating. Accordingly, this perspective presents current state of the art and outlook in synthesis of light olefins, dimethyl ether, liquid fuels, and alcohols through two leading hydrogenation mechanisms: methanol reaction and Fischer-Tropsch based carbon dioxide hydrogenation. The future research directions for developing new heterogeneous catalysts with transformational technologies, including 3D printing and artificial intelligence, are provided.

Effect Of Different Types Of Static Mixer Geometry On Quality Of Microbubble Generation, Tee Wu Yang

Student Works (2020-2029)

This research project is mainly focused on the impact of different types of static mixer on the quality of microbubble generation. The design of the microbubble generation consists of venturi to allow the air intake by using pressure difference and then different static mixer geometry are tested to investigate the effect on bubble rising time and dissolved oxygen (DO). At the first part of study, the work comprises of the relationship of bubble rising time at different pressures and bubble diameter at different pressures. It has proved that higher pressure will induce small bubble diameter and the bubble rising time …

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 …

Using Brookfield's Critical Incident Questionnaires To Improve Collaboration In Course Modules, Albena Yordanova, Elizabeth Tofte

ASEE Best Practice Series Presentations

No abstract provided.

Bridging The Gaps In Elementary Life Science Lessons, Kaitlin Cook

Honors Program Theses and Projects

The United States is experiencing a rise in science, technology, engineering and mathematics (STEM) careers while facing a shortage of STEM workers. This could partly be due to a decline in the amount of time allowed for science in elementary schools or possibly because many life science lessons in elementary school lack originality and may not stimulate an interest in science. Lack of captivating STEM education prior to college may be contributing to the decline of students graduating with STEM based degrees. My thesis focuses on getting out of the routine of using monotonous life science lesson plans. I identify …

Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning

Journal of System Simulation

Abstract: In order to accurately estimate the unknown parameters for fractional order chaotic systems, a quantum particle swarm optimization algorithm based on differential quantum properties is proposed. On the basis of quantum behaved particle swarm optimization, variation, crossover and selection operation are utilized by particles, which can better keep the diversity of the particles in the population, avoiding the local optimum in the later phase of the iteration. The multi-neighborhood local search strategy is used for particles’ local search to improve search precision. Standard test functions are used to test the algorithm, and the test results show that the …

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 …

Resilience Analysis And Evaluation Of Combat System Of Systems Architecture Based On Dynamic Super Network, Rong Ming, Xiaofeng Hu, Jingyu Yang

Journal of System Simulation

Abstract: The resilience of combat architecture is a kind of adaptability and recovery ability presented by the architecture when the combat system of systems (CSoS) faces destruction, attack and failure. It has become an important index to measure the capability of CSoS. The dynamic super network model is established by mapping the experimental data of CSoS resilience simulation. The resilience index of CSoS architecture is proposed and the resilience measure CSoSIR algorithm is designed. Based on the resilience analysis framework of competitive game, the CSoS architecture resilience is analyzed and evaluated.

Concurrent Conflict Control Method Of "Multi-Rights+Operation Queues" Based On Cpn Tools, Zhili Zhang, Yunrong Zhang, Shixin Ma

Journal of System Simulation

Abstract: There are problems with concurrent control methods such as operation rights + timestamp, for example, the role of each maintenance worker cannot be played. The concurrent control method of multiple rights and operation queues can solve this problem. The working principles of the important function modules of this method are discussed, and the operation method of the process flow chart and colored Petri net is given. The data are simulated by the CPN Tools for the entire process. Simulation results show that this method can ensure the operation fairness of the low maintenance personnel, and make every maintenance staff …

Treadmill Speed Coordination Control For Lower Limb Rehabilitation Training Robot, Li Feng, Zhizheng Wu, Hou Wei, Xiaofei Qin

Journal of System Simulation

Abstract: In the course of active exercise training for patients with lower limb rehabilitation robots, a treadmill speed coordinated control method based on acceleration suppression is proposed to prevent secondary damage to patients caused by muscle spasms. The mathematical model of treadmill is established by means of system identification. Based on the H₂ optimal design method and the continuous time system switching theory, the treadmill speed PI controller with acceleration suppression is designed. The simulation results show that the controller can not only reduce the acceleration of the treadmill, but also keep the speed of the treadmill …

Research On Real-Time Simulation Platform Architecture Based On Multi-Core Scheduling, Jiahui Tong, Liu Jin, Jinyuan Zhang, Yongxiang Zhang

Journal of System Simulation

Abstract: With the development of weapon equipment and support training system, new requirements are added to architecture of simulation platform. Considering the overall architecture, hardware architecture and software system, combining the requirement of experiment and training, a real-time simulation platform architecture with network and distributed system characteristics is proposed. The platform provides embedded computing nodes. The computing nodes and network are strong real-time.

Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou

Journal of System Simulation

Abstract: In order to obtain the location information and category information of wood surface defects in the early stage of intelligent wood cutting, a combined algorithm for fast identification and location of wood surface defects is proposed based on digital image processing technology for fast recognition and location of wood surface defects. The Adaboost cascade classifier algorithm is used to extract the candidate frames of the wood surface defect region in the image in order to solve the problem that the traditional segmentation method is not effective for multi objects processing. A CNN model with self-learning ability is used to …

Control Method Of Unified Svpwm For Three-Phase Four-Switch Fault-Tolerant Apf Based On Inductor Current, Jianfeng Yang, Jiang Hui, Tianqi Zhou

Journal of System Simulation

Abstract: The algorithm of conventional space vector PWM for three-phase four-switch fault-tolerant APF chooses different coordinate transformation control algorithm based on the fault location selection of phase A, phase B, phase C. The calculation process involves a lot of coordinate operation, and, is not conducive to the fault switching. A unified SVPWM for three-phase four-switch Fault-tolerant active power filter based on inductor current is presented. The traditional SVPWM control needs complex coordinate transformations. The simplified algorithm takes the inductor current change as the control target, doesnot complicated coordinate transformation calculation, and the form of the calculation is unified, which is …

A Just-In-Time Learning Soft Sensing Modeling Method Based On Bayesian Gaussian Mixture Model, Qi Cheng, Weili Xiong

Journal of System Simulation

Abstract: For some time-varying industrial processes with non-Gaussian properties, the model established by the general soft-sensing method is difficult to meet the accuracy requirement. To solve the above problems effectively, a JITL soft sensor modeling method (BGMM) is proposed based on Bayesian Gaussian Mixture Model. For the given training sample set, the number of components of the Gaussian mixture model is optimized by Bayesian Information Criterion (BIC); For new test samples, Gaussian Process Regression (GPR) model is established by using the BGMM similarity criterion for the training samples to find out the most similar set;The model is used to predict …

Extreme Image Compression With Deep Learning Autoencoder, Licheng Xiao

Computer Science and Engineering Master's Theses

Image compression can save billions of dollars in the industry by reducing the bits needed to store and transfer an image without significantly losing visual quality. Traditional image compression methods use transform, quantization, predictive coding and entropy coding to tackle the problem, represented by international standards like JPEG (joint photographic experts group), JPEG 2000, BPG (better portable graphics), and HEIC (high efficiency image file format). Recently, there are deep learning based image compression approaches that achieved similar or better performance compared with traditional methods, represented by autoencoder, GAN (generative adversarial networks) and super-resolution based approaches.

In this paper, we built …

Bending Behavior Of Concrete Beams With Fiber/Epoxy Composite Rebar, Kolten Dewayne Rice

Theses and Dissertations

This research explores the use of carbon/epoxy and fiberglass/epoxy fiber-reinforced polymer (FRP) composite rebar manufactured on a three-dimensional braiding machine for use as reinforcement in concrete beams under four-point bending loads. Multiple tows of prepreg composite fibers were pulled to form a unidirectional core. The core was consolidated with spirally wound Kevlar fibers which were designed to also act as ribs to increase pullout strength. The rebar was cured at 121â—¦C (250â—¦F) in an inline oven while keeping tension on the fibers. Five configurations of reinforcing bars were used in this study as reinforcement in concrete beam specimens: carbon/epoxy rebar …

Multi-Agent Simulation Model Of Urban Safety Livability Change, Lihu Pan, Xiaowen Li, Shipeng Qin, Yingjun Zhang, Huimin Yan

Journal of System Simulation

Abstract: Urban livability is an important factor for the decision of modern urban construction. Based on the multi-agent modeling theory, a model for the change of urban livability is proposed, so as to analyze the present situation and changing trend of urban livability in complex urban system. Taking safety as an example, five environmental indicators of public security, fire protection, traffic, emergency response and residence are given. The interactive dynamic feedback mechanism between residents' decision-making behavior and urban safety livability under the influence of the five indicators and policies is provided, and the residents' decision-making simulation of urban safety livability …

Personalized Music Recommendation Algorithm Tfpmf, Xining Ye, Wang Meng

Journal of System Simulation

Abstract: In recent years, the personalized context-aware recommendation is the rub and hotness in the research of recommendation system, and the data sparseness is the main problem faced by the current recommendation systems. In the setting of music recommendation, the representing method of varieties of situational information is improved. A model of TFPMF is proposed, which combines the model of RR-PMF with the tensor decomposition. TFPMF is optimized by alternative least squares (ALS). By the simulation experiments in the last.fm dataset, we got the TOP-N recommended list through the simulation program. The simulation results show that the proposed algorithm has …

Analyzing The Pedestrian Evacuation Efficiency In Architecture Based On Different Facilities Layout, Zhihong Li, Yanjie Wen, Wangtu Xu, Qi Yue

Journal of System Simulation

Abstract: Pedestrians escaping from the architecture are restricted by limited time and space. There are so many different exits, channels and bottleneck. Three kinds of facilities layout were designed to be initial schemes. The shortest escaping time was estimated by the different bottlenecks. Then, a safety escaping model based on the facilities layout and dynamic information was proposed, and the escaping time, area density and evacuation efficiency were analyzed by the simulation. The research indicates that by calculating and simulating the model can estimate the evacuation time for different schemes, and the result can provide some advices for facilities layout.

Teaching And Training Platform For Virtual Equipment Of Replenishment Based On Web3d, Li Nan, Shiyun Zhang

Journal of System Simulation

Abstract: In view of the problem that military simulation training system can't maximize to the advantages of virtual reality simulation technology because of the limitations of regional, space and training ability, this paper developed a virtual equipment training and teaching platform. It made a large-scale compression for 3D models and map data. Meanwhile it made streaming and multithreading download of compressed data through the HTTP protocol. It dealt with the high concurrent access on network by using the balanced load. So that it has broken the limitations of regions space and training ability of the previous military simulation training system, …

Virtual Scene Roaming Method Supporting Multi-Layer Path Planning, Shi Min, Yukun Wei, Xiangchen Jin, Suqin Wang, Tianlu Mao

Journal of System Simulation

Abstract: Taking the automatic role pathfinding in three-dimensional virtual scene as the research background, the author proposes a method of multi-layer pathfinding based on A-star algorithm, and uses advanced heuristic functions to evaluate the cost values of various expansion nodes to confirm the optimal solution to the problems. By introducing collision detection mechanism, the navigation path generated by the improved A* algorithm is modified to avoid collision; and by interpolating the fixed path, the smooth navigation path is constructed using Bézier Curve. The experimental results show that the path finding results can well adapt to the multi-layer case when the …

The Mechanical Development For An Autonomous Forest Service Robot, James P. Walker

Honors College Theses

Georgia’s forests are under threat from numerous invasive species of plant, both herbaceous and woody. A primary factor in the invasive potential of any given non-native plant is the lack of natural predators and rapid reseed and regrowth cycles. To combat invasive plants, this thesis proposes an artificial, robotic predator to provide a means of controlling invasive species. Although autonomous robots are currently being developed for similar agricultural purposes, none have emerged for forestry related tasks, such as proposed in this work. The chassis, inspired by rocker bogie and similar suspension systems, has been redesigned to have eight wheels, to …

An Investigation Of The Chemistry, Thermodynamics And Catalytic Activity Of Molybdenum Carbides, Shanti Kiran Nayak

Chemical and Biological Engineering ETDs

These studies investigate the chemistry and stability of molybdenum carbides as an electrocatalyst. Due to their unique electronic properties, molybdenum carbides are purposed as electrocatalysts for reaction systems such as hydrogen evolution reaction, bifunctional water splitting and CO oxidation.

In this study, various synthesis processes were utilized to produce different types of molybdenum carbide with varying properties of particle size, surface area and excess carbon. The samples characterized by XRD accompanied by Whole Profile Fitting, Electron Microscopy, Gas Adsorption (surface area) and XPS.

These synthesis processes were refined using fundamental thermodynamic analyses. These analyses highlight regions of stability of different …

Characteristic Index Digging Of Combat Sos Capability Based On Machine Learning, Yongli Yang, Xiaofeng Hu, Rong Ming, Xiaojing Yin, Wenxiang Wang

Journal of System Simulation

Abstract: Aiming at the two difficulties in characteristic index digging of combat system of systems (CSoS), namely operation data generation and digging method selection, this paper proposes a new digging method, that is, using the simulation testbed to generate operation data, then adopting the machine learning to dig characteristic index. Two methods of characteristic index digging based on machine learning are researched: (1) the method based on network convergence, divides the communities for fundamental indexes based on their relationship, and obtains the characteristic indexes by principal component analysis (PCA); this method is applied to dig the characteristic indexes of …