Engineering Commons^™

Transparent Planar Micro-Electrode Array For In-Vitro Electric Field Mediated Gene Delivery, Raj Himatlal Shah

USF Tampa Graduate Theses and Dissertations

Gene delivery is the process of delivering the modified gene into the human cell. There are two types of gene delivery depending on where the target cells are. The in-vivo gene delivery deals with delivering the altered genes into the cells while still in the host body. While another approach is to extract the cells from the host body, transfer the modified gene into cells and then put these cells back into the host body, this approach is called the ex-vivo method.

A vector is a carrier that carries the modified gene to the host cell or body. Hence, depending …

Atomistic Thermo-Mechanical Description Of The Deformation Behavior, Scaling Laws, And Constitutive Modeling Of Nanoporous Gold, Mohammed Hassan Yousef Saffarini

LSU Doctoral Dissertations

Metallic foams, or nanoporous (NP) metals as it is widely referred to in literature, with ligament sizes up to a few tens of nm show exceptional mechanical properties such as high strength and stiffness per weight ratio under different loading scenarios due to their high surface area to solid volume ratio. Therefore, they can be utilized in a wide range of applications making them of great interest to researchers. While their elasticity and yield strength have been the subject of several studies, very limited attention was given to the effect of size, strain rate, and temperature on the material plastic …

Sealant Injectivity Through Void Space Conduits To Assess Remediation Of Well Cement Failure, Mohammed Alkhamis, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The primary cement of oil and gas wells is prone to fail under downhole conditions. Thus, a remedial operation must be conducted to restore the wellbore integrity and provides zonal isolation. Many types of materials are currently used and/or have the potential to be employed in wellbore integrity applications, including, but not limited to, conventional Portland cement, microfine and ultrafine cement, thermoset materials, and thermoplastic materials. In this study, several types of materials were selected for evaluation: (1) conventional Portland cement, which is the most widely used in remedial operations in the petroleum industry, (2) polymer resin, which is one …

Assessing The Feasibility Of Microbially Managed Biological Filtration In U.S. Drinking Water Systems For Removal Of Contaminants Of Emerging Concern, Andrew J. Black

USF Tampa Graduate Theses and Dissertations

The future of water security in the U.S. is clouded by the progression of anthropogenic climate change and the increasing number of households unable to afford access to safe drinking water, while advances in detection and potential health risks of trace organic contaminants are constantly moving the water treatment finish line. There is a need for sustainable, economically feasible technology to provide the means to meet increasingly stringent water quality regulations while also ensuring current standards are met for all communities. Biologically active filtration, combined with an operational approach designed to optimize contaminant removal by the biofilm, may enable water …

Mechanical Failure Of Metal/Ceramic Interfacial Regions Under Shear And Tensile Loading, Xiaoman Zhang

LSU Doctoral Dissertations

Quantitative assessment of the adhesion strength of ceramic hard coatings on substrates is a subject of great technological importance as well as current scientific relevance. Achievement of reliable and quantitative measurements of interfacial strength has proven difficult over the past two decades. In this dissertation, how the deformation and fracture behavior of ceramic/metal/substrate interfacial regions under shear and tensile loading is influenced by the structure and chemical composition of the interfacial region were observed and discussed. Interfacial shear failure experiments were carried out on focused ion beam fabricated micro pillars containing interfacial regions of ceramic/metal/substrate systems. Detailed characterization was carried …

Predictors Of Successful Adoption Of Technology Supported Learning In Universities In Uganda: A Students’ Perspective, Esther Namirembe, Michael Eddie Kyobe Prof.

The African Journal of Information Systems

This study identified the predictors of successful adoption of technology supported learning (TSL) among students in universities. Presumably, the perspective of the students in understanding this study is crucial because students are key users of TSL systems and are faced with challenges in the adoption of such systems in learning institutions. We argue in the present study that predictors can be identified using Gestalts approach given the complex interactions between the organizational and individual factors. The extent of interaction between the factors was accomplished using the clustering algorithm. Data was collected from 184 students from Makerere and Gulu universities. Six …

Hydration Automation: Smart Tank, Peter Ferguson

Computer Science and Engineering Master's Theses

Agriculture is a huge field that can benefit from Internet of Things (IoT) with many solutions focused around the monitoring and management of water in irrigation or storage systems. Different types of sensors to measure water quality, amount, flow and pressure are used to monitor the health of these systems and actuators are deployed like pumps or valves to manage the water in theses systems. The Hydration Automation (HA) automated water monitoring and management system utilizes low cost, small form factor, and sustainable Sensing Units (SUs) to collect water level reading of water storage systems through the use of an …

Deep Peak-Shaving Transformation Planning Of Thermal Power Units Based On Approximate Dynamic Programming, Weiqing Sun, Song He, Han Dong, Kunpeng Tian

Journal of System Simulation

Abstract: The generation of renewable energy has great randomness. The lack of flexibility of thermal power unit leads to the problem of peak adjustment. Three reformation schemes for thermal power units, including the thermal power unit internal transformation, configurating energy storage, and joint transformation of the two are proposed. Taking into account the additional cost of thermal powerunit in the deep peak regulation, the planning model of thermal power units depth peak-shaving transformation considering the unit combination is proposed, and the strategy iteration approximate dynamic programming algorithm to decouple the model is presented. The “curses of dimensionality” can be avoided …

Prediction Method For Health Degree Of Front Bearing Of Wind Turbine Generator And Implementation, Yin Shi, Guolian Hou, Chi Yan, Linjuan Gong, Xiaodong Hu

Journal of System Simulation

Abstract: Aiming at the deterioration trend of front bearing of doubly-fed wind turbine generator, a new combined modeling method is proposed to predict health degree of front bearing of generator. The GMM is used to identify operating conditions of wind turbines. The temperature model of front bearing based on ELM is established respectively in each sub-condition. Combining with temperature residual characteristics and time-frequency characteristics of vibration signal, the health degree of front bearing is calculated. Based on attention mechanism, the Bi-LSTM neural network is proposed to model and predict health degree of front bearing. The result shows that the …

Design Of Lvc Simulation Test Middleware For Saas, Du Nan, Yaxin Tan

Journal of System Simulation

Abstract: LVC (Live-Virtual-Constructive) technology provides a new technical means for equipment test. In view of the large number of heterogeneous simulation resource objects and complex interaction in the LVC system test, which can not meet the test task requirements of quick response of the weapon system, the middleware and application model framework is reformed according to the remote method invocation based on TENA. The functional modules of LVC simulation middleware including model running component, publishing and ordering component, message processing component and real-time running component are designed to provide efficient real-time communication mechanism for LVC simulation and support the application …

Maximum Multiplicative Programming: Theory, Algorithms, And Applications, Payman Ghasemi Saghand

USF Tampa Graduate Theses and Dissertations

This dissertation presents three different contributions to an important class of optimization problems known as Multiplicative Programs (MPs). The first group of contributions contains the development and analysis of several multi-objective optimization-based based algorithms designed to find the optimal solution of Mixed Integer Linear MPs. As for the second group, the application of a special class of MPs in radiotherapy planning is presented. Finally, in the last group, a new technique for conducting the multiplication process in the objectives of MPs is presented. Using this technique, we introduce a family of novel solution methods that are capable of solving both …

Simulation On The Development Of Residential Distributed Photovoltaic Power Generation Under The Declining Trend Of Feed-In-Tariff, Libo Zhang, Lulu Ge, Changqi Chen, Mingduan Tang

Journal of System Simulation

Abstract: Residential Distributed Photovoltaic Generation (R-DPVG) has become the important developing force of PV generation in China. As the declining of Feed-in-Tariff (FIT), system dynamics method is used to construct a causal loop model for R-DPVG’s development, and relevant factors and their feedback mechanism are qualitatively analyzed. Then a stock-flow model is build, and the ROI, installed capacity, and policy subsidy costs of R-DPVG are simulated under some combined scenarios based on declining FIT. The simulation proves R-DPVG’s FIT will be reduced to 0.05 ~ 0.1 yuan/(kW?h) in the next three years till cancelled. FIT cutting amplitude, capacity and targets …

Approximate Method Of Spares Demand Prediction For Weibull Distribution Items Based On Piecewise Function, Songshi Shao, Zhihua Zhang, Xiaojie Mo

Journal of System Simulation

Abstract: Demand prediction model for spare parts with Weibull distribution involves multiple infinite series, therefore, spares demand calculation is a difficult issue. The approximate calculation method generally used is often subject to large errors. According to the principle of renewal function, the approximated demand calculation method for spares of Weibull distribution using piecewise function to approximate the renewal function is proposed. It effectively avoids the issue of computational complexity for spares demand prediction. Theoretical analysis shows that the proposed approximated algorithm ensures the calculation result of spares demand is less than that of engineering approximation algorithm. According to the given …

Preventing Transmission Of Covid 19 In Hvac Duct Systems: Implementations Of Hvac System Design Upgrade, Jacob S. Lopez, Adama Barro

Publications and Research

The recent pandemic outbreak has triggered a global alarm to increase efforts on finding the best methods to mitigate contagious viral pathogens. This project is a continuation of our mission to study engineering guidelines needed to implement upgrades to HVAC Systems in order to deter airborne pathogens such as the covid-19 virus. In our previous projects we researched how covid-19 can possibly flow through the ambient air inside of restaurants, office spaces, and locomotive train cabins. As we continued our research, we were able to find some solutions that will be best used to deactivate and prevent the virus from …

Research On Description Specification Of Extensible Simulation Scenario, Xiangzhong Xu, Xiong Jun, Fengwei Shen

Journal of System Simulation

Abstract: Simulation scenario description specification is of great significance to speed the Simulation Scenario Data (SSD) preparation, to improve the quality and to promote the reuse of the SSD. An in-depth comparison between simulation scenario and military scenario is made. The composition and application process of military scenario based on the description specification are designed, above which, the design scheme of the description specification is discussed. The extensible military scenario description specification is proposed from the following two aspects, that is, the basic elements including time and coordinate system, and the data interchange format. Series of scenario instances are produced. …

Research On Chemical Simulation Environment Modeling Based On Complex Terrain, Shunhua Liu, Fang Min

Journal of System Simulation

Abstract: Environment simulation is an important part of the construction of simulation training system. Without considering terrain factors in current chemical simulation environment, there are many problems in directing and controlling, simulation interacting, estimating and evaluating of simulation training. Based on the classical Gaussian diffusion model, the new model is suitable for the complex terrain chemical simulation environment through terrain elevation correction, diffusion parameter correction and mass conservation correction. The simulated chemical hazard area is in line with the atmospheric diffusion law of complex terrain. The model presents a realistic environment and fast computing ability, which solves the problem of …

Pathfinder Algorithm For Green Pipeline Scheduling With Limited Buffers, Hu Rong, Yuming Dong, Bin Qian

Journal of System Simulation

Abstract: A Hybrid Pathfinder Algorithm (HPFA) is proposed for solving the green flow shop scheduling problem with limited buffers and energy threshold constraints (GFSSP_LBET). The optimization criteria are to minimize the total energy consumption and the makespan. In order to enhance the global search ability of HPFA, a distance-based selection scheme is designed to determine each pathfinder's followers to ensure that the near regions of any pathfinder can get a certain search. A self-learning search strategy integrating multiple operations is designed to perform multi-neighborhood search on the updated pathfinders, which can improve the local exploitation ability of HPFA. Simulation experiments …

Yard Layout Optimization For General Cargo Terminal, Zhixiong Liu, Dong Yu, Chunjun Zhang

Journal of System Simulation

Abstract: Yard layout is an important component of the port yard allocation decision which affects the cargo storage capacity and through capacity for the port yard. As to the general cargo yard, combined with the cargo type and the yard storage strategy, the yard layout optimization model for the general cargo terminal is presented based on the statistical analysis for the production data when the optimization aim is minimizing the total horizontal transport distance of the trailer. The yard layout optimization results are employed by the mathematical tool Gurobi for different storage strategies, and the yard layout optimization results are …

Research On Time Performance Simulation And Analysis Technology Of Aviation Complex Embedded System, Lingsha Zheng, Jiang Bing, Zhe Zhao, Zhaoxu Yang

Journal of System Simulation

Abstract: As a core member of an embedded system, the embedded computer's time performance plays a key role in the comprehensive performance of the system's functional performance. However, as the complexity of aviation products continues to increase, traditional system development methods are facing the challenge for verification. In order to improve the accuracy of time performance analysis for the complex embedded system, find the potential hazards in the design of scheduling early, and avoid the system comprehensive stage design iteration caused by the time system defects, the methodology of the construction of the model and the analysis method of the …

Low-Cost Device For Laser Phacoemulsification: A Preliminary Study, Mitchell Harrah

USF Tampa Graduate Theses and Dissertations

The current gold standard of cataract removal surgery is phacoemulsification systems. These are divided based on the type of devices used; both are considered equal but with different delivery modes. These delivery methods are either acoustic or light-based. However, these devices pose two hurdles for impoverished areas: high costs and heavy resource usage. This thesis proposes a novel phacoemulsification system is based on the low-cost, off-shelf laser diodes that implement light-based phacoemulsification of cataracts. The system is tested for viability over two methods: finite element analysis and experimentation on various phantoms. Simulations on the device have occurred on the COMSOL …

Research On Component-Based Modeling Of Simulation Entity For Logistics And Equipment Support, Cao Qi, Qun Xiang, Wenzheng Wang

Journal of System Simulation

Abstract: There has been a lack of efficient and advanced simulation training means and systems for logistics and equipment support. Aiming at the characteristics of non-antagonism, uncertainty, timeliness, parallelism and discontinuity in the simulation of support operation, the abstraction of three entities, three interaction relations and three organization relations is put forward. By using component-based modeling, the entity for logistics and equipment support is further decomposed into several attribute components and behavior components for modeling, which effectively solves the problem of entity modeling in simulation training of support operation. In this way, the conceptual modeling tool, simulation model …

Research On The Overall Design And Key Technology Of “Human In The Loop” Synthetic Training Simulation, Zhiming Dong, Guangchao Zhu, Xiangzhong Xu, Yaxin Tan, Fan Rui

Journal of System Simulation

Abstract: Aiming at the difficulties of "human-in-the-loop" synthetic training simulation such as large scale, many entities, decentralized deployment and many heterogeneous systems. After study the construction of US Army synthetic training environment, a sustainable evolution cloud service architecture of distributed synthetic training simulation based on TISA middleware is designed, and a composable multi-level synthetic training simulation application model is put forward. It solves the technical problems of distributed training simulation, which are real-time interconnection and interoperability, consistency of battlefield environment, model composition and reuse, simulation as a service, etc. It provides technical supports for large-scale "human-in-the-loop" tactical confrontation exercises and …

Dynamic Control Of Twin-Workshop Model Of Circuit Breaker Considering Takt Time Constraints, Shu Liang, Zhang Jie, Yanfang Yang, Yang Miao, Ziran Wu

Journal of System Simulation

Abstract: The production takt time greatly impact on the twin system modeling of assembly line. A dynamic control method of the twin workshop model is proposed, which considers the takt time constraints is proposed. Detecting the motion of the circuit breaker unit and the assembly line system, and the dynamic motion model of the circuit breaker twins are developed based on the takt time calculation. Through driving force loading, motion logic script controlling and switching, the twin mapping of the assembly line system is realized with fixed and flexible takt time as well. The circuit breaker’s directional bounding boxes and …

Research On Intrusion Detection Based On Stacked Autoencoder And Long-Short Memory, Lin Shuo, An Lei, Zhijun Gao, Shan Dan, Wenli Shang

Journal of System Simulation

Abstract: As network attacks increasingly hidden, intelligent and complex. Simple machine learning cannot deal with attacks timely. A deep learning method based on the combination of SDAE and LSTM is proposed. Firstly, the distribution rules of network data are extracted intelligently layer by layer by SDAE, and the diverse anomaly features of high-dimensional data ate extracted by using coefficient penalty and reconstruction error of each coding layer. Then, LSTM’ s memory function and the powerful learning ability of sequence data are used to classify learning depth. Finally, the experiments are carried out with the UNSW-NB15 data set, which is analyzed …

Creating Synthetic Satellite Cloud Data Based On Gan Method, Wencong Cheng, Xiaokang Shi, Zhigang Wang

Journal of System Simulation

Abstract: To create the synthetic satellite cloud data in the domain of Meteorology, a method based on Generative Adversarial Networks (GAN) is proposed. Depending on ability of the nonlinear mapping and the information extraction of raster data with the deep learning network, a deep generative adversarial network model is proposed to extract the corresponding information between the numerical weather prediction(NWP) products and the satellite cloud data, and then the appropriate elements of the NWP product are chosen as the input to synthesize the corresponding satellite cloud data. The experiments are conducted on the re-analysis products of the European Centre …

Research Of Super-Resolution Processing Of Invoice Image Based On Generative Adversarial Network, Xinli Li, Changming Zou, Guotian Yang, Liu He

Journal of System Simulation

Abstract: Automatic identification of invoices can effectively improve financial efficiency. But low-resolution invoice image reduces the accuracy of automatic identification, an ESRGAN (Encoder Super-resolution Generative Adversarial Network) network for super-resolution processing of invoice images is proposed. The ESRGAN network is based on a conditional generative adversarial network. An auxiliary encoder is designed to guide the network to generate a more realistic super-resolution image. Based on the actual invoice image, the ESRGAN network and the conventional image processing, SRCNN (Super-resolution Convolutional Neural Networks) network and SRGAN (Super-resolution Generative Adversarial Network) network. The model is evaluated through two evaluation indicators of peak …

Trajectory Tracking Control Of Robotic Manipulators Based On Smooth Second-Order Sliding Mode, Ruimin Zhang, Qiaoyu Chen

Journal of System Simulation

Abstract: The robotic manipulators have characteristics of strong nonlinearity, strong coupling, multiple input and output, uncertainties, and so on. It is necessary to proposed a multivariable smooth second-order sliding mode trajectory tracking control method. The method can eliminate the chattering in the conventional sliding mode control and increase convergence speed. The property of finite time convergency is proved by the Lyapunov stability theory. Furthermore, the method is applied for the tracking control of two-joint robotic manipulators with model uncertainty and external disturbances. The simulation results show that the proposed method is effective and has high control precision and strong robustness.

Research On Digital Protection System Of Intangible Cultural Heritage Based On Mobile Augmented Reality Technology, Shouming Hou, Ge Qian, Yanyan Liu

Journal of System Simulation

Abstract: Aiming at the problem of the single form and poor interaction of intangible cultural heritage protection, a non-heritage digital online display system is designed and implemented based on mobile augmented reality technology. Taking clay sculpture non-heritage protection as an example, the main functional modules of the system cloud and mobile terminal are designed. Based on a combination of 3D scanning and iterative mesh simplification, a fast modeling method is proposed. ORB-FV and optical flow tracking algorithm are used for online recognition and tracking registration of images. The system is developed based on Unity3D. The test results show that, …

Fault Diagnosis Of Mechanical Equipment Based On Ga-Svr With Missing Data In Small Samples, Jingjing Wei, Qinming Liu, Chunming Ye, Guanlin Li

Journal of System Simulation

Abstract: In view of the equipment fault diagnosis with small and missing sample data, a method of missing data filling based on support vector regression optimized by genetic algorithm is proposed to improve the accuracy of equipment fault diagnosis. The support vector regression optimized by genetic algorithm was trained by other data values of missing data, and univariate prediction results were obtained. The training set was reconstructed through correlation analysis, so as to obtain the multivariate prediction results. Dynamic weights were established to combine univariate prediction results and multivariate prediction results to fill in the missing data. The …

Active Learning Intelligent Soft Sensor Based On Probability Selection, Xuezhi Dai, Weili Xiong

Journal of System Simulation

Abstract: Aiming at lack of tag samples and high cost of sampling tags in complex industrial processes, an active learning algorithm based on probability selection is proposed. Firstly, unlabeled samples are performed subspace integration by using the principal component analysis. Then, the information of unlabeled samples is evaluated by the uncertainty, which is calculated based on the out put of all sub learners. And the most valuable samples are selected to mark manually. Finally, the function of unlabeled samples and labeled samples are analyzed, and the termination conditions are designed by introducing the performance index of training set. Through simulations …