Operations Research, Systems Engineering and Industrial Engineering Commons^™

Design And Realization Of Radar Warning Receiver Modeling System, Limin Liu, Cheng Cheng, Zhuangzhi Han

Journal of System Simulation

Abstract: According to the structure of the mainstream modern airborne radar warning receiver, a modeling method of radar warning receiver simulation system was proposed, and it realized by SystemVue. The system consists of radar signal interception, parameter estimation and signal sorting, and pulse description words can be obtained at last. The application of sorting method based on detection of single source point in the system improves the robustness. Simulation results verify the scheme feasibility.

Robust Flexible Job Shop Scheduling Method With Machine Breakdowns, Guohui Zhang, Lihui Wu, Nie Li, Yongcheng Wang

Journal of System Simulation

Abstract: There are many uncertain events in the actual production process of flexible job shop, which affect the normal production and scheduling to achieve objective. According to the factor of the machine breakdown, two robustness measures combined with flexible job shop scheduling characteristics were proposed. One is considered as the initial schedule and the actual schedule makespan deviation, the other one is considered as each machine idle time and work load. The genetic algorithm was used to solve the problem, and the two parts chromosome coding was designed to avoid generating the illegal solution. Through the establishment of the probability …

Single Sign-On Model Based On Trusted-Daa Connection, Xiaohui Yang, Lijun Jiang, Wang Hong, Siyuan Chang

Journal of System Simulation

Abstract: Traditional single sign-on (SSO) models adopt SSL connections in the cloud computing environments, while there exist several problems such as certificates cannot be updated in time, certificate updating needs a third party CA, etc.. To solve above problems, TPM was introduced between cloud identity providers and cloud service providers, and a trusted DAA connection (T-D-SSL) was designed by adopting the DAA authentication method to implementation cross platform trusted authentication, secure channel establishment, and certificate updating operation. Combining with T-D-SSL, SAML2.0, and ID-FF1.2, a new SSO model of the cloud computing environments was proposed, which could make sure the system …

Simulation Research On Model Parameter Identification Based On Prediction Error, Hongquan Wu, He Chi, Zhang Ping, Shuen Wang, Hongqiang Wei, Chu Jin, Zhang Peng

Journal of System Simulation

Abstract: Parametric differential method is often used to extract resistance coefficient in the process of trajectory simulation research for aerial bomb. The method exists following problems: high precise original data required and influenced by measurement error easily, which would cause serious error in identification result and even lead to the radiation during identification. In order to solve these problems, a method of extracting resistance coefficient based on prediction error was modeled. While coordinate was used as observations, simulation research of model parameter identification was carried out for some bomb. Precision of calculation for two models was calculated and analyzed …

Power Modeling And Simulation For D/A Network In R-C Hybrid Sar Adc, Xingyuan Tong, Zhang Yang

Journal of System Simulation

Abstract: D/A conversion network of SAR (SAR: Successive Approximation Register) ADC was discussed. The energy model of the capacitor array in R-C hybrid D/A network was established by using MATLAB. With the combination of resistor string’s static power and capacitor array’s switching power, the power model of the R-C hybrid network in SAR ADC was proposed based on a 65nm CMOS process. Furthermore, by considering matching requirement for the passive components, 12-bit R-C hybrid D/A networks with “5+7”, “6+6” and “7+5” type of structures were simulated and compared. The research can provide significant guidance for circuit design and optimization of …

Research On Double-Sided Linear Induction Motor Of Electromagnetic Catapult Of Carrier-Based Aircraft, Xijun Liu, Kunlun Zhang, Guoqing Liu

Journal of System Simulation

Abstract: To solve the low efficiency of current steam catapults of carrier-based aircraft, the authors proposed the electromagnetic catapult of carrier-based aircraft using double-sided linear induction motor. The authors analyzed the technical requirements of the catapult of carrier-based aircraft through the kinetic equations, analyzed the drive source of the catapult - long primary double-sided linear induction motor - through the physical model and equivalent circuit, derived the relationship between required thrust and the design parameters of the electromagnetic catapult, and provided specific design parameters. Using computer simulation analysis, the authors analyzed the impact of secondary length, motor pole …

All-Digital Simulation Technique With Application To On-Orbit Spacecraft Maintenance And Servicing, Gaoxiang Ouyang, Li Xin, Dong Xin, Chengmin Sun, Yang Xin

Journal of System Simulation

Abstract: Aiming at the demand for the on-orbit maintenance, a new simulation technique was developed. The simulation contained on-orbit failures reproduction and location, onboard software upgrade and patch. A virtual technology was used to construct all virtual hardware environment, imitate their function and simulate the real satellite control system. This all-digital platform implemented precise multi-type faults injection, internal state monitoring and data stream intervention very well. So it could roundly simulate and test the software upgrade of the attitude and orbit control systems. It could also be used in the high-fidelity simulation of satellite-ground synchronous operation and maintenance, especially it …

Effect Of Assembly Force On Gas Diffusion Layer For Proton Exchange Membrane Fuel Cell, Yibo Zhou, Jianjian Wang

Journal of System Simulation

Abstract: A three-dimensional multi-flow channel proton exchange membrane fuel cell (PEMFC) model has been developed to investigate the deformation of gas diffusion layer (GDL) with different assembly force and different contact ratio of channel. The results indicate that the GDL under the land part changes significantly while the central region under the flow channel almost has no deformation with increasing assembly force. When the contact ratio of channel is not 100%, the deformation of GDL is not symmetrical due to the shear stress, and the thickness of GDL under the flow channel even exceeds its initial thickness, which produces the …

Deep Learning Based Poisson Solver In Particle Simulation Of Pn Junction With Transient Esd Excitation, Ling Zhang, Wenchang Huang, Zeyi Sun, Nicholas Erickson, Ryan From, Jun Fan

Engineering Management and Systems Engineering Faculty Research & Creative Works

In particle simulations of semiconductor devices for electro-static discharge (ESD) study at the microscopic level, solving Poisson's equation is an inevitable but time-consuming step. In this work, a deep learning technique is utilized to resolve Poisson's equation for a PN junction under an ESD event, namely using a trained deep neural network (DNN) to predict the potential distribution according to the charge distribution and the boundary condition under a transient ESD excitation. To improve the generalization performance of the DNN, multiple typical ESD curves with different parameters are used as the excitation boundary to generate large amounts of training data …

Feature Bagging And Extreme Learning Machines: Machine Learning With Severe Memory Constraints, Kallin Khan, Edward Ratner, Robert Ludwig, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

With the Onset of Easy Access to Supercomputers with High Amounts of Memory Available, Machine Learning Algorithms Have Continued to Increase the Resources Necessary to Perform their Data Analysis. This Paper Aims to Show Development in the Other Direction, by Showing that through the Use of a Combination of Feature Bagging and Ensembles of Extreme Learning Machines (Elms) It is Possible to Leverage Machine Learning, Without Loss of Accuracy, on Devices Where Flash Memory is Very Scarce, and Random-Access Memory (Ram) is Even Scarcer, Such as on Embedded Systems. This Novel Strategy is Called Feature Bagged Extreme Learning Machines (Fb-Elms).

Combining Machine Learning And Empirical Engineering Methods Towards Improving Oil Production Forecasting, Andrew J. Allen

Master's Theses

Current methods of production forecasting such as decline curve analysis (DCA) or numerical simulation require years of historical production data, and their accuracy is limited by the choice of model parameters. Unconventional resources have proven challenging to apply traditional methods of production forecasting because they lack long production histories and have extremely variable model parameters. This research proposes a data-driven alternative to reservoir simulation and production forecasting techniques. We create a proxy-well model for predicting cumulative oil production by selecting statistically significant well completion parameters and reservoir information as independent predictor variables in regression-based models. Then, principal component analysis (PCA) …

How Does Robotic Surgery Influence Communication, Leadership, And Team Outcomes? A Multimethod Examination., Jordan E. Rogers

Doctoral Dissertations and Master's Theses

The practice of delivering surgical care has evolved to be less invasive to the patients undergoing surgery. Minimally-invasive surgery can be practiced through traditional laparoscopic methods as well as with robotic technology that displaces the surgeon from the operating table. Robotic surgery has been cited to be safer and more effective than traditional laparoscopic surgery; however, little research has endeavored to investigate the role of surgical modality upon aspects of teamwork. This dissertation contributes to the human factors and teamwork literature by evaluating how surgical modality may influence communication, shared leadership, and team outcomes. Multiple methods were employed to study …

Gender Differences And Cockpit Design, Susan Archer, Heidi Brewer, Stacie Fain, Stephanie Smith

Student Works

The design project reported in this paper examined female pilots’ experiences with how well or poorly cockpit design allowed them to safely accomplish their flying missions. The general aviation aircraft cockpit is not designed for female pilots, often causing them to find ways to adapt to the cockpit in order to operate the aircraft safely. Two primary focal areas for adaptations address issues with accessibility of controls and “viewability” inside and outside the cockpit. The design team used a Situation Awareness-Oriented Interface Design (SAOD) approach in preparing cockpit design recommendations for general aviation aircraft that would accommodate female pilots.

Towards A Cyber-Physical Manufacturing Cloud Through Operable Digital Twins And Virtual Production Lines, Md Rakib Shahriar

Graduate Theses and Dissertations

In last decade, the paradigm of Cyber-Physical Systems (CPS) has integrated industrial manufacturing systems with Cloud Computing technologies for Cloud Manufacturing. Up to 2015, there were many CPS-based manufacturing systems that collected real-time machining data to perform remote monitoring, prognostics and health management, and predictive maintenance. However, these CPS-integrated and network ready machines were not directly connected to the elements of Cloud Manufacturing and required human-in-the-loop. Addressing this gap, we introduced a new paradigm of Cyber-Physical Manufacturing Cloud (CPMC) that bridges a gap between physical machines and virtual space in 2017. CPMC virtualizes machine tools in cloud through web services …

All-Metallic Phase Change Thermal Management Systems For Transient Spacecraft Loads, Carl R. Hartsfield, Travis E. Shelton, Brian O. Palmer, Ryan P. O'Hara

Faculty Publications

In this work, we explore the thermal properties of gallium as an effective phase change material for thermal management applications. Thermal storage and dissipation of gallium manufactured heat sinks were compared to conventional phase change heat sinks. The comparison revealed a 50-fold (80 K versus 1.5 K) potential reduction in temperature during the phase change process due to the high density, thermal conductivity, and latent heat of fusion. The gallium creates shallow thermal gradients when transiently heated, producing a nearly isothermal process. Computational estimates using lumped sum parameters were able to provide simple modeling to predict the results. Gallium based …

Study On New Sampling Plans And Optimal Integration With Proactive Maintenance In Production Systems, Sinan Obaidat

Graduate Theses and Dissertations

Sampling plans are statistical process control (SPC) tools used mainly in production processes. They are employed to control processes by monitoring the quality of produced products and alerting for necessary adjustments or maintenance. Sampling is used when an undesirable change (shift) in a process is unobservable and needs time to discover. Basically, the shift occurs when an assignable cause affects the process. Wrong setups, defective raw materials, degraded components are examples of assignable causes. The assignable cause causes a variable (or attribute) quality characteristic to shift from the desired state to an undesired state.

The main concern of sampling is …

Models For Data Analysis In Accelerated Reliability Growth, Cesar Alexander Ruiz Torres

Graduate Theses and Dissertations

This work develops new methodologies for analyzing accelerated testing data in the context of a reliability growth program for a complex multi-component system. Each component has multiple failure modes and the growth program consists of multiple test-fix stages with corrective actions applied at the end of each stage. The first group of methods considers time-to-failure data and test covariates for predicting the final reliability of the system. The time-to-failure of each failure mode is assumed to follow a Weibull distribution with rate parameter proportional to an acceleration factor. Acceleration factors are specific to each failure mode and test covariates. We …

Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields, Jiajun Zhang, Xiaochao Qian, Jinpeng Zhou, Xuanling Wang, Zhifeng Lu

Journal of System Simulation

Abstract: The incident of air strike in Sandi Arabia in September 2019 is taken as an example，A rapid analysis method for crisis events based on simulation is proposed. Combining the simulation with the exploratory analysis, the uncertainty of crisis events is comprehensively analyzed and dealt with. According to the public information of the incidents details from Sandi Arabia, Yemen, the combat situation of the air strike is replayed based on the wargaming. The rationality and authenticity of the details in the event statement is verified and can also provide reference to the development and combat research of the “Low, Small …

Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization, Xiong Yong, Xuanzhuo Liang, Zhang Jia

Journal of System Simulation

Abstract: Aiming at the influence of the oil tank on the floating state and stability of the ship, the multi-tank adaptive dispatching control algorithm to maintain the stability of the ship is studied. The automatic floating state adjustment simulation system of the ship is realized by the WinCC (Windows Control Center) configuration software. For the system architecture, the Boolean logic table is used to construct the connection relationships of the oil tanks, pumps and pipelines, and the amount of oil exchange between the cabins is calculated according to the floating equation, and the balance of the floating state in the …

Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration, Ma Ning, Shenglin Lin

Journal of System Simulation

Abstract: Complex coordination exists among the various equipment in the system-of-system (SoS) operational process. The influence relationship among the various indexes is ignored in the traditional effectiveness evaluation methods. Aiming at this, a new effectiveness evaluation approach for the SoS is proposed. Numerous evaluation data is analyzed, based on the association rules mining, to obtain the influence among the effectiveness indexes. The networked evaluation index system is constructed, and the effectiveness integration evaluation is realized based on the analytic network process. The feasibility and validity of the proposed method are verified by evaluating the effectiveness of an air defense SoS.

Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix, Yuanlu Li, Li Teng, Baoying Liu

Journal of System Simulation

Abstract: Studies have shown that the dynamical systems can be more accurately described by the fractional-order systems because its order can be any number. That’s why the fractional-order systems are being paid more and more attention. However, how to create a fractional-order system is still in the exploratory stage. Considering the nonlocal features of the fractional differentiation, a method for the fractional-order system identification is proposed by taking the Haar wavelet operational matrix. The proposed method can reduce the dimension of the operational matrix by abandoning the high frequency coefficients of the input and output signals so that the buffer …

Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang

Journal of System Simulation

Abstract: Focusing on the accuracy of indirect illumination calculation, an improved view-sensitive virtual point light (VPL) sampling method is proposed. The visible shading points are clustered according to the positions and normal vectors. The product of the contribution of VPLs on the representative visible shading points and the number of VPLs belonging to the same class is calculated, and the sum of the products is treated as the estimation of the indirect illumination which constructs the cumulative distribution function (CDF). On the basis of the CDF, the VPLs of calculating the indirect illumination on every visible shading point are selected. …

Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao

Journal of System Simulation

Abstract: Augmented reality is usually limited to the screen devices, and is difficult to realize the stereoscopic dynamic interaction of multiplayer. A large screen interactive display method based on the servo motor is prsented. The serial communication program to control the scanning reciprocating mode of the servo is designed. By using the edge detection methods and deep normal texture processing, the line draft of the ancient buildings is rendered. By combining the hardware and presentation application modules, the user interaction capabilities and seasonal effects is added to the showcase application modules. The experimental results show that the interactive media system …

Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang

Journal of System Simulation

Abstract: Because of the randomness and fluctuation of the wind power, the large scale wind power integration makes the economic emission dispatch of power systems more complicated. By fusing the advantages of the differential evolution algorithm with the parameter self-adaption and crisscross optimization, a hybrid intelligent optimization algorithm called ADE-CSO is proposed to solve the dynamic economic emission dispatch considering wind power integration. A constraint handling technology is introduced to satisfy the feasibility of the power balance and ramp limits. To demonstrate the effectiveness of the proposed algorithm, a typical test case of five generator bus system is conducted and …

Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu

Journal of System Simulation

Abstract: The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic disease classification for the chest abnormal parts is proposed and a dataset of the thoracic disease classification labels is complied. The thoracic disease classification is evaluated through four kinds of convolutional neural networks, AlexNet, VGGNet, ResNet and DenseNet and through three kinds of training methods, direct training, ImageNet pre-training and Chest X-14 pre-training. The result shows that the more complicated convolutional neural network with the more parameters, the better performance …

Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma

Journal of System Simulation

Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, …

Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li

Journal of System Simulation

Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the …

Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li

Journal of System Simulation

Abstract: The hard cutting has the features of the high maching flexibility, economical efficiency and environmental friendliness, and is widely used in automobile industry, bearing industry, hydraulic industry, etc. The simulation modeling not only plays an important role in predicting the performance of the hard machining and optimizing machining parameters, but also better reflects the nature of the machining and provides the theoretical guidance to the actual machining. The simulation modeling methods of the hard cutting at home and abroad are introduced, and the chip formation, cutting force, cutting temperature, tool wear and machined surface quality are summarized, and the …

Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen

Journal of System Simulation

Abstract: A spatiotemporal saliency detection method based on Gestalt optimization is proposed. A method based on the multi-scale local sparse representation and local contrast measure is proposed to compute the spatial saliency in the infrared videos. A multi-frame symmetric difference approach is adopted to detect the temporal saliency. To get the initial spatiotemporal saliency map, a scheme based on the mutual-consistency is designed to fuse the spatial and temporal saliency maps adaptively. A Gestalt-guided optimization method is designed to calculate the final spatiotemporal saliency map. Experimental results show that the proposed method can effectively detect the spatiotemporal saliency of infrared …

A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu

Journal of System Simulation

Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote …