Operations Research, Systems Engineering and Industrial Engineering Commons^™

Infrared Image Segmentation Of Aircraft Skin Based On Otsu And Improved I-Ching Divination Evolutionary Algorithm, Kun Wang, Ji Yao, Peilun Liu, Wang Li

Journal of System Simulation

Abstract: Infrared thermal imaging non-destructive testing is one of the commonly used methods for aircraft skin detection. Aiming at Otsu's large computational complexity and poor real-time performance, an aircraft skin infrared image segmentation method based on Otsu and an improved I-Ching divination evolutionary algorithm (IDEA) is proposed. The roulette selection operator is improved by using roulette selection for the I-Ching map of state size 3n, from which the n individuals with the maximum fitness values are then selected as new populations. The experimental results show that the proposed algorithm is superior to several other improved optimization algorithms both in terms …

Simulation And Analysis For Gaussian Jitter Effects Of Geosynchronous Satellite, Yulun Li, Yang Wei, Jiayi Guo

Journal of System Simulation

Abstract: Ultrahigh-spatial-resolution and high-temporal-revisit appear to be realizable for future space-borne imaging missions. By taking advantage of satellites on the geosynchronous orbit, the wide-area continuous monitoring capacity to ground target zones becomes possible. Focus on the imaging target displacement, it is necessary to study the platform jitter during the conceptual modeling phase. Discrete Event System Specification (DEVS) is employed to abstract the observation area as an event generator. The attitude stabilization is digitalized and both theoretical analysis and simulation experiments of Gaussian-excited signals are provided. Simulation results show that the distributions of attitude responses preserve the normality. The offset distance …

Three-Dimensional Adaptive Neural Network Guidance Law Against Maneuvering Targets, Yujie Si, Xiong Hua, Zhe Li

Journal of System Simulation

Abstract: The problem of designing a three-dimensional nonlinear guidance law accounting for saturation nonlinearity is concentrated to attack maneuvering targets. To solve the physical constraints of missile actuators, an anti-disturbance and anti-saturation terminal sliding mode guidance law is provided based on radial basis functions neural networks and adaptive method. The guidance law is bounded and ensures that the system state is uniformly ultimately bounded. Compared with the traditional anti-saturation guidance law, it has the advantages of fast convergence speed and high precision. Numerical simulations are introduced to demonstrate the effectiveness and superiority of the designed composite guidance law in theory.

Negative Influence Minimization Algorithm For Social Networks, Yang Yi, Chunxiao Wu, He Ming, Zhou Bo

Journal of System Simulation

Abstract: While positive information is spreading in social networks, there is still a large amount of negative information spreading in the network. Aiming at the fact that there is few researches on suppressing the spread of negative information, a negative influence minimization algorithm for social networks is proposed. When negative information appears in social networks and some initial nodes are infected, the behavior of nodes propagating information depends on its coordination game with neighbor nodes. The objective function with minimal influence is used to find the K optimal blocking nodes, and finally the size of the final infected node is …

Agile Thinking And Innovative Technology Development, Rocky Gay

Operations Management Presentations

Agile Project Management approaches have grown beyond software development and are being incorporated in many industries at a rapid pace. This expansion has created a need for a common language and methodology that fosters self-organized collaboration and an innate desire to deliver products that maximize customer satisfaction. There are a broad range of tools and techniques nested in a framework that facilitate a flexible and steady cadence of product delivery. Organizations have options in managing projects. Shifting to an agile mindset, values and principles may necessitate a culture change in project teams.

Développement D’Un Outil Personnalisé D’Aide À La Décision En Vue De Minimiser Les Risques En Manutention Impliquant Des Postures Symétriques Et Asymétriques, Aboulfazl Shirazi-Adl, Navid Arjmand, André Plamondon

Rapports de recherche scientifique

Les charges excessives imposées sur la colonne vertébrale lombaire constituent un facteur de risques important pour les maux de dos. La modélisation biomécanique de la colonne vertébrale est la seule approche non invasive permettant d’estimer ces charges, mais la complexité de ces modèles limite leur utilisation par des ergonomes. Pour aider ces derniers à identifier des situations à risque de blessures au dos afin de limiter le chargement aux structures lombaires, il existe des outils d’aide à la décision comme l’équation de levage du NIOSH (Revised NIOSH Lifting Equation, Waters et al., 1993) ainsi que les tables …

Cyclic Damage Accumulation In The Femoral Constructs Made With Cephalomedullary Nails, Farah Hamandi, Alyssa Whitney, Mark H. Stouffer, Michael J. Prayson, Jorn Rittweger, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Background: The purpose of this study was to evaluate the risk of peri-prosthetic fracture of constructs made with cephalomedullary (CM) long and short nails. The nails were made with titanium alloy (Ti-6Al-4V) and stainless steel (SS 316L). Methods: Biomechanical evaluation of CM nail constructs was carried out with regard to post-primary healing to determine the risk of peri-implant/peri-prosthetic fractures. Therefore, this research comprised of, non-fractured, twenty-eight pairs of cadaveric femora that were randomized and implanted with four types of fixation CM nails resulting in four groups. These constructs were cyclically tested in bi-axial mode for up to 30,000 cycles. All …

Mapping Of The Information Flow Of The Valle Occidental Coffee Region: A System-Of-Systems Perspective, Irene Campos

CESUN Conference

Uncertainty is a characteristic of many of the contemporary environments that our systems inhabit. In the case of farming systems, uncertainty has always been present in the form of unpredictable weather conditions, disease outbreaks and evolving societal and economic factors. Uncertainty poses a challenge for communication and information alignment, which is especially important for a farming system responding to disasters. A first step towards finding solutions for problems of information alignment in systems is mapping and identifying information links in them. The goal of this research is to map the information flow and feedback dynamics of the Valle Occidental coffee …

Exploring How Prize Challenges Complement An Organization's Innovation Efforts, Ademir Vrolijk, Zoe Szajnfarber

CESUN Conference

prize challenge, open innovation, crowdsourcing, NASA, 3D Printed Habitat Challenge, additive manufacturing

Risk Management Decision Making For Security And Trust In Hardware Supply Chains, Zachary A. Collier, Thomas L. Polmateer, James H. Lambert

CESUN Conference

Modern cyber-physical systems are enabled by electronic hardware and embedded systems. The security of these sub-components is a concern during the design and operational phases of cyber-physical system life cycles. Compromised electronics can result in mission-critical failures, unauthorized access, and other severe consequences. As systems become more complex and feature greater connectivity, system owners must make decisions regarding how to mitigate risks and ensure resilience and trust. This paper provides an overview of research efforts related to assessing and managing risks, resilience, and trust with an emphasis on electronic hardware and embedded systems. The research takes a decision-oriented perspective, drawing …

The Challenges And Opportunities Of Teaching Systems Engineering For Large Scale Engineering Systemse, Edward Pines, Dennis Engi

CESUN Conference

In this paper, we discuss a course in large scale systems engineering that was developed as part of a twelve-credit Graduate Certificate in Systems Engineering for part-time and returning students. Our focus was on how to work on big, unmanageable, messy problems. Teaching systems engineering for large-scale engineering systems is challenging for many reasons. One of the main challenges is the breadth of material to be addressed within one or two courses. Other challenges result from how students learn about the transitions from the development of a conceptual framework to systems architecture through engineering design, mathematical analysis and eventual construction …

What Tesla’S $1.5 Billion Bet On Bitcoin Means For Crypto Legitimacy, Singapore Management University

Perspectives@SMU

Some significant issues need to be resolved before Tesla can accept Bitcoin as a legitimate method of payment, says UNSW Business School's Mark Humphery-Jenner

Structural Identification And Damage Detection In Bridges Using Wave Method And Uniform Shear Beam Models: A Feasibility Study, Mehran Rahmani, Manan Naik

Mineta Transportation Institute

This report presents a wave method to be used for the structural identification and damage detection of structural components in bridges, e.g., bridge piers. This method has proven to be promising when applied to real structures and large amplitude responses in buildings (e.g., mid-rise and high-rise buildings). This study is the first application of the method to damaged bridge structures. The bridge identification was performed using wave propagation in a simple uniform shear beam model. The method identifies a wave velocity for the structure by fitting an equivalent uniform shear beam model to the impulse response functions of the recorded …

Better And Faster: How To Leverage Award-Winning Operations Management Techniques, Carrie Beam

Operations Management Presentations

The INFORMS Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science identifies innovative applications of operations management in fields as diverse as sewer district management, school bus scheduling, polio vaccinations, and of course transportation. In this seminar, 2021 Edelman Prize Chair Dr. Carrie Beam will introduce the keys of stakeholder engagement, iterative development, and scaled-up implementation of operations management techniques and how they apply to the Franz Edelman Award and to MSOM courses.

• Edelman Overview: https://youtu.be/_fiTelkcHi4
• Edelman 2020 Competition: http://info.informs.org/2020edelman

A Two-Warehouse Inventory Model With Rework Process And Time-Varying Demand, Nurnadiah Nurhasril

Student Works (2020-2029)

It is commonly assumed that in a classical inventory model, all items produced during a production cycle are of perfect items. However, contradictory to reality, production processes are not perfect at all times, hence resulting in the production of defectives. In order to minimise the cost incurred and reduce wastage in a production process, we might consider a rework process to be implemented on the defective items. Besides that, most classical inventory models also consider the assumption that the available storage facility has an unlimited capacity. Conversely, in reality an additional storage space commonly known as a rented warehouse (RW) …

Assessment Of Heavy Metal Concentration In Soils Around Geita The Gold Mine, Tanzania, Mariam G. Mgendi, Mkabwa L. K Manoko, W.J.S. Mwegoha, C. Southway C. Southway

Journal of Humanities and Social Sciences

Health issues related to gold mining cannot be underestimated. Gold mining produce acid mine drainage (AMD), which in turn releases heavy metals into the nearby environment, hence causing environmental pollution. Heavy metals are naturally very toxic, thus pose a great health concern especially when their concentration exceeds the recommended permissible limits. In this study, concentrations of five heavy metals—including Pb, Ni, Cr, Cu and Zn—were assessed in the soil around Geita Gold Mine (GGM). A total of 17 sampling sites were established from which the soil samples were collected at 0-15cm and 15-30cm soil depth. The concentration of both total …

Evolutionary Simulation Of Online Public Opinion Based On The Bert-Lda Model Under Covid-19, Muni Zhuang, Li Yong, Tan Xu, Taitian Mao, Kaicheng Lan, Lining Xing

Journal of System Simulation

Abstract: The construction of a large-scale online public opinion evolution simulation model has guidance value for differentiated emergency management and public opinion guidance in the worst-hit areas in Wuhan and the other areas in China during the outbreak of the COVID-19. In order to realize the fine-grained simulation of the public sentiment evolution of the topic, the LDA topic model is deeply integrated with BERT word vector to optimize the topic vector and power the text topic clustering. At the same time, on the basis of improving BERT pre-training task, the deep pre-training task is superimposed to improve the accuracy …

A Quantization-Based Integration Method For Stiff Ordinary Differential Equations, Zhihua Li, Jiang De, Chenjia Wu, Zhihua Fan

Journal of System Simulation

Abstract: QSS(Quantized State System) has advantages over the traditional time-discrete integration methods in solving general ordinary differential equation (ODE) systems, but it is not suitable for solving the stiff ODE systems. To effectively solve the stiff ODE systems, a step-correction optimization algorithm based on QSS (SCOA based-on QSS) is proposed, which combines the ideas of the QSS method and the implicit trapezoidal integral method. The simulation results of three typical stiff ODE cases show that the SCOA based-on QSS algorithm has advantages over other algorithms, and the simulation accuracy can be significantly improved by appropriately reducing the quantum size.

Cold Load Prediction Model Based On Improved Pso-Bp Algorithm, Junqi Yu, Wenqiang Jing, Anjun Zhao, Yanhuan Ren, Zhou Meng, Xinle Huang, Yang Xue

Journal of System Simulation

Abstract: Aiming at the low correlation between input and output data and the error of prediction model in PSO-BP neural network prediction model, a combined prediction method based on JMP, PSO-BP neural network and Markov chain is proposed. The method first uses JMP data processing software to process the input data and eliminating the low coupling degree samples, then conducts PSO-BP neural network training to obtain the cold load prediction results, and finally uses markov chain to eliminate the random errors generated by the system to obtain the final prediction results. The results show that the combined prediction method has …

Research On Virtual Simulation Training System For Multi-Position Collaborative Operation In Oilfields, Xianmei Liu, Jia Di, Liu Fang

Journal of System Simulation

Abstract: Aiming at the demands of multi-position collaborative operation in oilfields, the virtual simulation training system for multi-position collaborative operation in oilfields is studied. It shows the development mode and architecture of the system which uses the user perception environment to obtain data for the autonomous decision, and uses the collision detection process to simulate the interaction between user and device. The co-simulation strategy and the network communication protocol are designed. The room management is used to ensure that the scenes in the group are consistent in real time and the scenarios between the groups are independent. The Non-Player Character(NPC) …