Operations Research, Systems Engineering and Industrial Engineering Commons^™

Mechanism For Green Multicast Routing Protection In Multi-Granularity Transport Networks, Junling Shi, Xingwei Wang, Huang Min

Journal of System Simulation

Abstract: A mechanism for green multicast routing protection was designed, where the constraint of quality of service (QoS), energy consumption and the survivability to single link or node failure were under consideration. The node model which supported the exchange of multi-granularity services was built to meet the energy saving requirement in multi-granularity services, and the analysis of energy consumption was introduced with the formulas of energy consumption defined. Based on the physical topology, a multi-layer auxiliary graph was proposed, which was used to allocate and release resources. The fuzzy mathematics method was used to present QoS by the membership degree. …

Evolutionary Game-Based Spectrum Sharing Scheme In Cognitive Radio Network, Huanhuan He, Xingwei Wang, Huang Min

Journal of System Simulation

Abstract: In order to solve the waste of resources caused by the static spectrum allocation policy, cognitive radio technology can be used to dynamically and efficiently manage spectrum, and spectrum sharing becomes the key issue. To make secondary users to share spectrum fairly, an evolutionary game-based spectrum sharing scheme in cognitive radio network was proposed. Because cognitive radio network was dynamic and heterogeneous, the wireless channel was unreliable and affected by environment easily, the knowledge of fuzzy mathematics was introduced to characterize the parameters related to the secondary user satisfaction degree, and the Gas Brownian Motion Optimization algorithm was …

Study Of Model And Simulation On Ceramic Tile Polishing Energy Consumption, Haidong Yang, Chengdun Guo, Li Hong, Guosheng Liu, Jiawen Wu

Journal of System Simulation

Abstract: Currently, there are many defects in the production line of ceramic polishing, such as over polishing and high energy consumption, so it is an urgent mission to optimize the technical processes in order to cut down the energy consumption. Material removal equations and energy usage model were established based on the kinematic mechanism process and Preston equation. Simulation experiments were done by the above equations and model, so as to depict the evolution in both quality and power consumption. The impact of transmission speed of belt, lateral swing speed, disc rotation speed and other kinematic parameters on over polishing …

Research On Modeling And Scheduling Of Cluster Tools With Reentrant Process, Chunrong Pan, Li Liang

Journal of System Simulation

Abstract: Cluster tools reconfigured are increasingly adopted in wafer fabrication. With single-wafer processing technology, the productivity and quality of semiconductor manufacturing have been improved. The configurations of cluster tools and constraints of operation processes were proposed. Due to the increase of processing requirements of wafer revisiting, the scheduling of cluster tools becomes more complicated. Thus, modeling, performance analyzing and scheduling of cluster tools with reentrant process were reviewed. Meanwhile, an illustrative example was given to show the feasibility of simulation scheduling. By analyzing the advantages and disadvantages of research methods available, approaches and future directions which would be effective for …

Robust Model And Optimization Of Anti-Impact Performance For Mems Ring Gyroscope, Jiang Tao, Sun Lin

Journal of System Simulation

Abstract: In order to reduce the influence of parameter variation on anti-impact performance of micro mechanical gyroscope, a kind of MEMS ring gyroscopes was chosen as the research object, applying the method of explicit dynamic finite element analysis and design of experiment, influence of parameter variation was studied with significant analysis, and reasonable design parameters were decided. Mathematical model of anti-impact robustness optimization for ring gyroscope was established, in which maximum impact stress and performance variation were minimized as the optimal goal. Ultimately, the optimal solution set could be obtained by means of pareto multi-objective genetic algorithm. Simulation results show …

Gep Automatic Clustering Algorithm With Dynamic Penalty Factors, Chen Yan, Kangshun Li, Yang Lei

Journal of System Simulation

Abstract: Various problems such as sensitive selection of initial clustering center, easily falling into local optimal solution, and determining numbers of clusters, still exist in the traditional clustering algorithm. A GEP automatic clustering algorithm with dynamic penalty factors was proposed. This algorithm combines penalty factors and GEP clustering algorithm, and doesn't rely on any priori knowledge of the data set. And a dynamic algorithm was proposed to generate the penalty factors according to the distribution characteristics of different data sets, which is a better solution for the impact of isolated points and noise points. According to four dataset, penalty factors' …

Algorithms For Join Queries In Multiple Wireless Sensor Networks, Shangfeng Mo, Yongjian Fan, Xiaoliang Wang, Qingchun Yu, Yinglong Li

Journal of System Simulation

Abstract: The perception layer of Internet of Things (IoTs) is mainly composed of Multiple Wireless Sensor Networks (MWSNs). Data query processing is a very important research area in MWSNs. Join queries can monitor similar network environments in different positions. In general join algorithm, each ordinary node sends its join attribute value to the database server. The database server finds out the result set which meets the join conditions. In distributed join algorithm, the ordinary nodes predict their filters of next round and the database server obtains the global, common filters. The nodes which meet the join conditions send their data …

Generate Network’S Disjoint Mps Based On Simevents Simulation, Tang Jian, Fuli Ai, Faming Shao, Jiaojiao Zhang

Journal of System Simulation

Abstract: The disjoint MPs (Minimal Path sets) algorithm proposed was improved from the point of signal transmission. The CoA network was transformed into a corresponding signal network, which was composed of forward and backward transmitting paths. According to the basic principle of disjoint MPs algorithm, a set of signal transmitting and rewriting rules, including forward and backward processing rules, were designed to make the disjoint MPs could be generated by means of DES (Discrete Event Simulation). The basic realizing idea was studied in SimEvents, in which, the entities acted as the information carriers, and the nodes as the …

Novel Algorithm Of High-Speed Target Isar Imaging Based On Stretch Method, Wenmao Luo, Yingliu Cui

Journal of System Simulation

Abstract: The pulse compression result will be distorted while the target moves very fast and it cannot get right ISAR images. A novel algorithm based on chirp-Fourier transform was proposed to solve this problem. In the scheme, every echo’s differential frequency signal of stretch processing was calculated by chirp-Fourier transform to estimate the target’s location and speed, and the target’s precious speed could be averaged by the estimations during the whole dwell time. Then the penalty function could be constructed to eliminate the intra and inter-pulse motion, and it could get right ISAR images. Because the chirp-Fourier transform was …

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 …

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 …

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 …

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).

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 …

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.

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 …