Engineering Commons^™

Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li

Journal of System Simulation

Abstract: Aiming at the operators being not able to move freely in the limited capture area of optical motion capture devices, the maintenance operation control of virtual human in Collaborative Virtual Maintenance is studied. The lower limb action of operators is captured by the optical motion capture devices, and the wide range motion of the virtual human is controlled according to the real-time recognition results. In order to control the hand motion process of the virtual human in the maintenance operation, the hand interaction of the virtual human is analyzed and an intelligent assistant method for the maintenance operations based …

Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu

Journal of System Simulation

Abstract: In order to improve the cooperative control ability of the multi Intelligent ground platform and to adapt to the trend of intelligent war in the new situation, a multi intelligent ground platform cooperative Control simulation system based on jade and world wind Java is constructed. Based on multi-agent theory, the simulation model of intelligent ground platform is build. Based on JADE, the cooperative Control simulation platform is constructed. The task allocation mechanism is optimized by the particle swarm optimization algorithm. The simulation results show that the cooperative Control simulation platform has good robustness and flexibility. The optimized task allocation …

A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang

Journal of System Simulation

Abstract: Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is …

Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu

Journal of System Simulation

Abstract: In visual target tracking and localization, the target could not be located due to the lack of features or the severe occlusion. Aiming at this, an algorithm based on confidence evaluation of neighboring targets is designed. In the tracking process, by detecting and extracting the marker features of neighboring targets, and combining the Hamming distance of each feature marker and the normalized result with respect to other markers as well as the probability of occurrence of each marker, the final confidence of each marker is obtained. The marker with the maximum confidence is to used determine the target …

Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo

Journal of System Simulation

Abstract: An interactive technique that can generate the Dongba art paintings from 2D images is proposed. A Dongba painting line drawing system is designed and developed which adopts the interactive selection method to obtain the smooth and continuous line drawings. To produce the foreground image of the Dongba styles, a multi-frequency noise integral convolution algorithm is utilized to simulate the block texture color of the Dongba paintings. Texture synthesis algorithm is used to generate the image of large sizes from samples to simulate the background image. Based on the layer-mapping technique and local color transmission methods, the final artistic style …

Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong

Journal of System Simulation

Abstract: The three-dimensional video fusion system needs the calculation of video and graphics, and requires high machine performance. The existing commercial evaluation tools lack the corresponding considerations, which may cause the inconsistency of a machine's performance from the score. A machine performance evaluation method for three-dimensional video fusion is proposed and an evaluation tool MRMark is implemented. Several sets of standard 3D test scenes are designed according to the characteristics of the video fusion system, the statistics on the frame rate, the number of video channels played and the other parameters during the test are collected to calculate the …

Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei

Journal of System Simulation

Abstract: Virtual reality technology is a new way for the highway BIM to upgrade from 2D to 3D. Based on the analysis of the characteristics of highway engineering and the travel needs of traffic participants, five methods are proposed to perceive highway BIM and evaluate the engineering design results of different road users, including virtual driving, virtual flight, virtual riding, virtual walking and augmented reality. These methods provide technical and tool support for the people-oriented road BIM perception, engineering evaluation, collaborative work, and design optimization. The experiment tests show that virtual reality connects the BIM models with human perception, …

Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong

Journal of System Simulation

Abstract: In order to improve the accuracy and speed of registration between two groups of 4D-CT images under different physiological activities, based on FFD model of multi-resolution B-spline, a registration algorithm using ICP to optimize the model is proposed. The ICP algorithm is added before the traditional b-spline to realize the point cloud registration between two groups of 4D-CT images: the appropriate model is generated from the two segmented groups of 4D-CT images, then the two groups of point clouds in the model are registered with ICP. The improvement rates of similarity measurement at level 1, level 2 and …

Development And Analysis Of A Vibration Based Sleep Improvement Device, Benjamin John Himes

Theses and Dissertations

Many research studies have analyzed the effect that whole-body vibration (WBV) has on sleep, and some have sought to use vibration to treat sleep disorders such as insomnia. It has been shown that low frequencies (f < 2Hz) are generally sleep inducing, but oscillations of this frequency are typically difficult to achieve using electromagnetic vibration drives. In the research that has been performed, optimal vibration parameters have not been determined, and the effects of multiple vibration sources vibrating at different frequencies to induce a low frequency traveling wave have not been explored. Insomnia affects millions of people worldwide, and non-pharmacological treatment options are limited. A bed excited with multiple vibration sources was used to explore beat frequency vibration as a non-pharmacological treatment for insomnia. A repeated measures design pilot study of 14 participants with mild-moderate insomnia symptom severity was conducted to determine the effects of beat frequency vibration, and traditional standing wave vibration on sleep latency and quality. Participants were monitored using high-density electroencephalography (HD-EEG). Sleep latency was compared between treatment conditions. Trends of a decrease in sleep latency due to beat frequency vibration were found (p ≤ 0.181 for AASM latency, and p ≤ 0.068 for unequivocal sleep latency). Neural complexity during wake, N1, and N2 stages were compared using Multi-Scale Sample Entropy (MSE), which demonstrated significantly lower MSE between wake and N2 stages (p ≤ 0.002). Lower MSE was found in the transition from wake to N1 stage sleep but did not reach significance (p ≤ 0.300). During N2 sleep, beat frequency vibration shows lower MSE than the control session in the left frontoparietal region. This indicates that beat frequency vibration may lead to a decrease of conscious awareness during deeper stages of sleep. Standing wave vibration caused reduced Alpha activity and increased Delta activity during wake. Beat frequency vibration caused increased Delta activity during N2 sleep. These preliminary results suggest that beat frequency vibration may help individuals with insomnia symptoms by decreasing sleep latency, by reducing their conscious awareness, and by increasing sleep drive expression during deeper stages of sleep. Standing wave vibration may be beneficial for decreasing expression of arousal and increasing expression of sleep drive during wake, implying that a dynamic vibration treatment may be beneficial. The application of vibration treatment as part of a heuristic sleep model is discussed.

Enhanced Water Electrolysis: Effect Of Temperature On The Oxygen Evolution Reaction At Cobalt Oxide Nanoparticles Modified Glassy Carbon Electrodes, Aya Akl, Hany A. Elazab, Mohamed A. Sadek, Mohamed S. El-Deab

Chemical Engineering

Water splitting producing hydrogen and oxygen gases appears promising in view of the increasing need of renewable energy sources and storage strategies. Investigation of stable and highly efficient electrocatalysts for oxygen evolution reaction (OER) is targeted in this study at cobalt oxide nanoparticle modified glassy carbon (nano-CoOx/GC) electrodes. The effect of the preparation (Tp) and measuring temperature (Tm) on the electrocatalytic activity of nano-CoOx/GC towards the OER is investigated under various operating conditions. Linear sweep voltammetry (LSV), cyclic voltammetry (CV) as well as SEM and XRD techniques were used to probe the electrocatalytic and morphological characteristics of nano-CoOx prepared under …

Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan

Journal of System Simulation

Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making …

Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min

Journal of System Simulation

Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …

An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang

Journal of System Simulation

Abstract: The spatiotemporal consistency of multi-modal haptic and immersive visual feedback, as well as the integration of hardware devices in the existing VR software framework, restricts the rapid development of visuo-haptic fusion scenarios in different industries such as medical, business, and entertainment. In order to tackle this problem, an adaptable VR software framework combining multi-modal haptic and immersive visual display is proposed. To meet the different requirements of visual rendering, haptic rendering and hardware control, the double-layer and three-layer architectures are devised according to the different precision requirements of visuo-haptic fusion feedback. Experimental results show that the framework has the …

Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan

Journal of System Simulation

Abstract: In order to promote the construction and verification of the finite element models of human thorax and non-lethal projectiles in the field of blunt ballistic impact, the detailed anatomical and analogous structures of the thorax finite element models are combed and five typical of them are compared and verified. The construction and verification methods of the typical non-lethal projectile models are refined and the impact injury assessment methods are summarized. The next research recommendations are given. In order to improve the accuracy and biological fidelity of the thorax model, it is necessary to establish the physical and finite …

Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang

Journal of System Simulation

Abstract: Aiming at the problems that the traditional leaf recognition is susceptible to the environmental interference and is difficult to realize the multi-leaf real-time recognition in complex background, a real-time leaf recognition method based on CNN network and multi-task loss function is proposed. The CNN network is used to the extract image feature maps and input them into RPN network to generate regional proposals. On the basis of the feature maps and region proposals, the feature map is proposaled, the leaf classification and bounding box regression are performed respectively, and the leaf classification and position of the leaf prediction box …

Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu

Journal of System Simulation

Abstract: In the anomaly detection of hyperspectral images (HSIs), aiming at the difficulty of distinguishing the abnormal target from the background and the low accuracy of background prediction, a new HSI anomaly detection algorithm based on background sparse reconstruction is proposed. An online dictionary learning method is used to estimate the background spectral dictionary. The estimated background image is sparse reconstructed by the learning dictionary. The estimated background image is subtracted from the origin image to get the residual image. The anomaly detection is achieved by using the local RX detector to traverse the residual image. The effectiveness of the …

Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang

Journal of System Simulation

Abstract: The depth maps captured by a small depth camera on mobile devices suffer from the problem of severe holes. The Guided Generative Adversarial Network (Guided GAN) based on deep learning is proposed to restore human depth maps with above problems. The high-precision human segmentation features and depth class features are extracted from the monocular RGB image by the guider based on the stacked hourglass network. The holes in the human depth maps are filled by the special generator under the guidance of the extracted human features. In order to get the more realistic results, the discriminator is introduced …

Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao

Journal of System Simulation

Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method …

Municipal Solid Waste Incineration (Mswi) Ashes As Construction Materials—A Review, Byoung Hooi Cho, Boo Hyun Nam, Jinwoo An, Heejung Youn

Civil Engineering Faculty Publications

Over the past decades, extensive studies on municipal solid waste incineration (MSWI) ashes have been performed to develop more effective recycling and waste management programs. Despite the large amount of research activities and the resulting improvements to MSWI ashes, the recycling programs for MSWI ashes are limited. For instance, although the U.S. generates more MSWI ashes than any other country in the world, its reuse/recycle programs are limited; bottom ash and fly ash are combined and disposed of in landfills. Reuse of MSWI ashes in the construction sectors (i.e., geomaterials, asphalt paving, and concrete products) as replacements for raw materials …

A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan

Journal of System Simulation

Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, …

Sustainable Nutrient Management Through Technology-Level Evaluation And System-Level Optimization, Xiaofan Xu

USF Tampa Graduate Theses and Dissertations

The need for wastewater and stormwater quality control, especially the control of nutrients, has been recognized due to the widespread problem of water eutrophication. Sustainable nutrient management is essential to reduce nutrient-related impacts and supply the growing nutrient demands.

This research focused on the nutrients (nitrogen and phosphorus) in the urban water environment with nitrogen as the nutrient of interest since nitrogen is the primary nutrient responsible for eutrophication in the coastal areas. It aimed to enhance the sustainability of urban nutrient management through technology-level evaluation and system-level optimization of technology implementation with consideration of life cycle environmental impacts and …

Post-Wildfire Geomorphic Stream Response In Six New Mexican Watersheds, Aljaz Praznik

Civil Engineering ETDs

Wildfire causes severe physical changes to watersheds, which then leads to geomorphic changes in the burned watersheds. In New Mexico and the southwestern U.S., flooding is a common response after a wildfire, due to higher water runoff from the hillslopes and sediment erosion rates. These flood events change the erosion and deposition characteristics of a stream, which can result in the deposition of a large amount of sediment near the communities living downstream. The objective of this research was to analyze and compare post-fire geomorphic stream response caused by six different wildfires in New Mexico with the goal to create …

Advanced Parallel Algorithms In Computational Electromagnetics, Shu Wang

Electrical and Computer Engineering ETDs

The rapid development of high performance computing has pushed the computational electromagnetic(CEM) towards high accuracy, high fidelity and extreme computational scales. There is a great need for existing CEM solvers to have enhanced parallelism and scaling capability. The purpose of this dissertation is to investigate advanced parallel algorithms for both frequency and time domain solvers.

In frequency domain, this work first develop the underpinnings of parallel preconditioning technique and high-order transmission condition in the context of multi-solver scheme. The result is a computing resource-aware and implementation wise compact solver. Then this work targeted at developing efficient algorithms for cases where …

Device-Level Predictive Modeling Of Extreme Electromagnetic Interference, Nishchay H. Sule

Electrical and Computer Engineering ETDs

Radio Frequency (RF) interference is a prominent issue for modern electronic devices. As device size and supply power shrink to meet the on-going demand for compact and complex Integrated Circuits (ICs), their susceptibility to external noise coupling to the input or power supply increases significantly. One such type of noise that acts upon a system to be considered is Extreme Electromagnetic Interference (EEMI). Previous works done to understand and evaluate the impact of EEMI onto a system or sub-system have been conducted on a statistical or empirical analysis level, which has led to complex and convoluted analysis, that requires significant …

Software Execution Under Extreme Electromagnetic Interference, Luis Ariel Valbuena Reyes

Electrical and Computer Engineering ETDs

Software routines that deviate from the original algorithm’s goal due to a perturba- tion agent is a phenomenon that has been observed for a long time now. From unin- tended executions on flight control computers during the dawn of space exploration, passing through hardware Trojans tampering in corporate security, to sensitive med- ical equipment compromised to the point of changing the amount of delivered drug, the time intervals, and the reported biomedical measured data, such intrusions are a major risk challenging society. In this dissertation, a computer under perturbation is modeled by a hybrid sys- tem that captures the digital …

Early Time (E1) High Altitude Electromagnetic Pulse Effects On Lightning Surge Arresters And Trip Coils, David Erney Sanabria

Electrical and Computer Engineering ETDs

A High Altitude Electromagnetic Pulse (HEMP) is a potential threat to the power grid. HEMP can couple on transmission lines causing large overvoltages, which could be harmful to the line and everything else connected to it. The effects of overvoltages on all sorts of devices in the power grid need to be understood. The work developed here is a joint effort between The University of New Mexico and Sandia National Laboratories; The devices that are within the scope of this effort are Trip Coils and Lightning Surge Arresters (LSA). Existing data on HEMP, existing standards, and a previous analysis, were …

Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia

Journal of System Simulation

Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. …

Investigation Of Honey Thin Film As A Resistive Switching Material For Nonvolatile Memories, Aleksey A. Sivkov, Yuan Xing, Kuan Yew Cheong, Xiangqun Zeng, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we report, for the first time, honey thin film as a resistive switching material and its memory behaviors. A dried honey film was sandwiched in between a CuxO bottom electrode and a Cu top electrode to form a metal-insulator-metal structure on a glass substrate. Current-voltage measurements showed that the device exhibited bipolar switching characteristics with Ohmic conduction behavior and a read memory window of 2.6 V. When biased at a read voltage of 0.2 V, the data retention time is over an interval of 10⁴ s and ON/OFF ratio is in the order of 10^{7 …}

Photo-Characterization Of Selective Luminescent Protein Aggregate Sensors - Oligo-P-Phenylene Ethynylene (Opes), Florencia A. Monge

Biomedical Engineering ETDs

Neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease,

and related tauopathies, are a global health care challenge due to the lack of early

treatment and diagnostic options. These diseases take an emotional and physical

toll on patients, caretakers, and a rather large economic toll on taxpayer-based

health care systems. The pathologies of these diseases are characterized by the

aggregation of misfolded proteins, amyloid-β (Aβ) and tau, into β-sheet rich

structures called amyloids. Research has found that the presence of protein

aggregates predates cognitive symptoms by years. Current diagnostic tools are

based on the detection of these amyloid aggregates, historically by …

Spatial Analysis Of Bias Corrected Rainfall Data Sets Within Albuquerque, New Mexico Metropolitan Area, Cassy Scarlott- Mcclintock

Civil Engineering ETDs

The Next Generation Radar (NEXRAD) was implemented as one of the first network-wide operational radar- estimated precipitation products in the United States in 1988. The algorithms within this system bring drastic advancements to operational flood forecasting when compared to prior radars and even rain gage systems. The objectives were; (1) to determine how radar plays a role in estimating precipitation by comparing rainfall accuracy to other sources such as calibrated radar data and gage data within Albuquerque, New Mexico and (2) to determine if distance from the radar affects estimation of rainfall. The sets of data compared were from: (1) …