Operations Research, Systems Engineering and Industrial Engineering Commons^™

Design And Development Of A Simulation System For Scheduling In Cloud Manufacturing Based On Microservice Architecture, Yongkui Liu, Ming Zeng, Lin Zhang, Jinwei Guo, Siyang Yuan, Yaoyao Ping

Journal of System Simulation

Abstract: In view of the lack of the low coupling and highly extensible cloud manufacturing scheduling simulation system, that leads to inconvenience of the performance test on scheduling algorithms, a scalable cloud manufacturing scheduling model with the scheduling goal of the minimization of cost and completion time and the maximization of quality of service is proposed. A micro-service architecture based cloud manufacturing scheduling simulation system is designed and developed, which realizes the functions of system management, resource management, task management and simulation management, and has the characteristics of flexible autonomy, stability and scalability. The simulation system facilitates the …

Image Reconstruction Of Electrical Capacitance Tomography Based On Convolutional Neural Network And Finite Element Simulation, Lifeng Zhang, Huiren Wang

Journal of System Simulation

Abstract: To address the issues related to the mixed hybrid telemetry, track and command(TT&C) resource, including multiple attributes, large differences in preferences and scheduling conflicts when resources are limited in joint scheduling, on the basis of the description method in the single system TT&C network scheduling research, the characteristics of the hybrid TT&C task requirements are analyzed and the standardized description of the hybrid TT&C resource scheduling task requirements is provided. With the goal of maximizing the return value of TT&C scheduling, a hybrid resource joint scheduling model is established. A solution strategy based on an improved genetic …

Indoor Positioning Algorithm Based On Xgboost Prediction And Elastic Net Error Compensation, Xiaofei Kang, Xuan Zeng, Wei Qiao

Journal of System Simulation

Abstract: Aiming at the multi-depot half-open vehicle routing problem and consideringthe soft time window constraints and vehicle speed changes, an optimization model with the goal of maximizing average customer satisfaction, shortest distribution distance and minimum distribution cost is established and a two-stage solution algorithm is designed. The self-adaptive grid density method and neighborhood crowding density method are used to maintain the external archives and to select the global optimal particles, and the convergence of the multi-objective particle swarm optimization (MOPSO) and the diversity of the later population can be improved to obtain the initial feasible solution. The initial feasible …

Feature Matching Algorithm Based On Optimal Geometric Constraints And Ransac, Xiaojuan Ning, Jieru Li, Fan Gao, Yinghui Wang

Journal of System Simulation

Abstract: In order to solve the problem that it's hard to reconcile the quality and computational efficiency of feature point matching. The initial matching for the extracted feature points is implemented through k-nearest neighbor (KNN) algorithm. According to the characteristics of equal length and same slope of the connecting line between matching points, the optimal geometric constraint is constructed based on the statistical sorting strategy to eliminate the obvious matching errors. Then random sample consensus (RANSAC) algorithm is utilized for further filtering to ensure the accuracy of the feature matching point pairs. Experimental results show that the method can obtain …

Motion Simulation And Performance Analysis Of 2d Variable Stiffness Snake-Like Robot, Yanqin Long, Guifang Qiao, Guangming Song, Ying Zhang, Linlin Cheng

Journal of System Simulation

Abstract: Mutual interference of vehicular laser radar causes serious performance reduction of target detection and tracking. From spatial, time and modulation frequency, various possible interference of lidars of pulse and frequency modulated continuous wave method in road environments are studied by simulation. The possibility of the interference is calculated, the features and performance reduction of the interference are analyzed. For the possible interference, using a method of pseudo random noise code to modulate the output amplitude of the continuous wave laser can effectively reduce the probability of interference and ensure the reliable operation of lidar in road environments.

Optimization Of Dynamic Post-Disaster Emergency Distribution Network Under Perspective Of Rescue Efficiency, Xinyu Gao, Jing Ni

Journal of System Simulation

Abstract: Aiming at the emergency rescue, a dynamic directed rescue network is established with the dynamic changes of the location, demand, and affected population of disaster site, and a mathematical model is constructed with the maximum rescue efficiency. A data envelope analysis model is applied to evaluate the efficiency of each rescue route segment. An efficiency-based dynamic routing model is established to transform the dynamic routes into the multi-stage static routes through the time slice division. An improved hybrid greedy-ant colony optimization algorithm is designed to solve the model, and the proposed algorithm is compared with the genetic algorithm, particle …

Idea Of Infinitesimal Method-Introduced Hybrid Tt&C Resources Joint Scheduling, Naiyang Xue, Dan Ding, Hongmin Wang, Yile Fan, Zhongqian Liu

Journal of System Simulation

Abstract: Aiming at the study on the motion performance of a two-dimensional variable stiffness snake-robot, a Simulink/Adams co-simulation model is established, and the effects of the damping coefficient, the stiffness parameters and the angular frequency of the variable stiffness actuator on the motion energy consumption are analyzed. To realize the synchronous control of joint trajectory and stiffness, a motion controller based on two-layer CPG is proposed. The results show that the damping coefficient can effectively reduce the proportion of starting energy consumption of the variable stiffness snake-like robot, and the ratio of starting energy consumption increases with the stiffness parameter …

Research On Multi-Depot Half-Open Vehicle Routing Problem With Time-Varying Speed, Kaiqing Zhang, Qichun Ji

Journal of System Simulation

Abstract: Based on the analysis of operation concept and its elements, this paper proposes a framework of operation effectiveness simulation evaluation under the guidance of operation concept. Based on this framework, the basic idea of operation effectiveness simulation evaluation index construction under the guidance of operation concept is put forward. The specific methods of operation task modeling based on description, operation activity modeling based on decomposition, and operation effectiveness index selection based on effect are studied. The operation effectiveness simulation evaluation index system is constructed by taking the ground assault unit mountain key point capture and attack operation task guided …

Continuous Simulation Technology For Multi-State Evolution Of Urban Road Traffic, Qinglu Ma, Lin Zhang, Xinxin Yuan, Fengjie Liu

Journal of System Simulation

Abstract: Arming at the decreased positioning accuracy caused by the environment dynamic change of indoor positioning system, an error compensation algorithm based on XGBoost fusion elastic net is proposed. XGBoost positioning model is used to make a preliminary prediction on the target position. When the indoor environment changes, the elastic net algorithm is used to construct an error compensation model to correct the positioning error of XGBoost positioning model. The experimental results show that when only 15% of the fingerprint database samples need to be updated, the positioning accuracy of the proposed algorithm is controlled in 0.73m at the 80% …

Simulation On Critical Conditions Of Delay Diffusion In Scale-Free Logistics Network, Hongguang Yao, Huihui Xiao, Hang Zhang

Journal of System Simulation

Abstract: Aiming at the critical condition of delay diffusion in scale-free logistics network, a susceptible-infected-susceptible(SIS) model based on the density of delay nodes is established by mean field theory, and the critical value is solved. By designing the delay diffusion simulation system in logistics network, a virtual network with scale-free attribute is generated, and the critical condition is verified by simulation. The results show that there are a few key nodes with high value in scale-free logistics network. Once these nodes have service obstades, compared with other nodes, it will lead to a larger range of delay and faster …

A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez

LSU Doctoral Dissertations

In this research, we investigated the application of deep reinforcement learning (DRL) to a common manufacturing scheduling optimization problem, max makespan minimization. In this application, tasks are scheduled to undergo processing in identical processing units (for instance, identical machines, machining centers, or cells). The optimization goal is to assign the jobs to be scheduled to units to minimize the maximum processing time (i.e., makespan) on any unit.

Machine learning methods have the potential to "learn" structures in the distribution of job times that could lead to improved optimization performance and time over traditional optimization methods, as well as to adapt …

A Brief Literature Review For Machine Learning In Autonomous Robotic Navigation, Jake Biddy, Jeremy Evert

Student Research

Machine learning is becoming very popular in many technological aspects worldwide, including robotic applications. One of the unique aspects of using machine learning in robotics is that it no longer requires the user to program every situation. The robotic application will be able to learn and adapt from its mistakes. In most situations, robotics using machine learning is designed to fulfill a task better than a human could, and with the machine learning aspect, it can function at the highest level of efficiency and quality. However, creating a machine learning program requires extensive coding and programming knowledge that can be …

Society Dilemma Of Computer Technology Management In Today's World, Iwasan D. Kejawa Ed.D

School of Computing: Faculty Publications

Abstract - Is it true that some of the inhabitants of the world’s today are still hesitant in using computers? Research has shown that today many people are still against the use of computers. Computer technology management can be said to be obliterated by security problems. Research shows that some people in society feel reluctant or afraid to use computers because of errors and exposure of their privacy and their sophistication, which sometimes are caused by computer hackers and malfunction of the computers. The dilemma of not utilizing computer technology at all or, to its utmost, by certain people in …

The Music Bluetooth Controller: An Intersection Between Technology And Music, Lydia Wu

Senior Honors Theses

The modern musician faces a new challenge: how can technology be used to enhance a performance? This thesis documents the development of a Bluetooth remote controller that will aid today’s performing musicians by interacting with a digital display (e.g., an iPad) to flip musical score pages remotely. At its core, while mimicking a Bluetooth pedal (the current industry standard), this device attaches to the musician’s hand. In its pilot stages, the device has been referred to “MBC” (Music Bluetooth Controller).

Research On 3d Path Planning Algorithm Based On Fast Rrt Algorithm, Zhaoqiang Li, Shiyu Zhang

Journal of System Simulation

Abstract: RRT (rapidly exploring random tree) algorithm is a sampling-based path planning algorithm, which can search a path in high-dimensional environment. The traditional RRT algorithm has the problems of low node utilization and large amount of calculation. To solve these problems, the fast RRT* (Quick RRT*) algorithm is improved by optimizing the strategy of reselection of parent node and pruning range, improving the sampling method and introducing adaptive step size, which makes the algorithm time-consuming and path length shorter. At the same time, the node connection screening strategy is added to eliminate the excessive turning angle in the path. …

Research On Real-Time Motion Matching Of Shadow Play Based On Kinect, Chuanqian Tang, Zhiqiang Liu, Yijun Su, Xiaojing Liu

Journal of System Simulation

Abstract: In the inheritance of shadow play culture, due to the aging of the audience and the discontinuity of inheritance, the shadow play culture is gradually facing decline. Real-time matching of shadow play movements based on Kinect can inject new vitality into traditional shadow play culture. According to the characteristics of shadow play, a joint point shadow play model is constructed, and the static digitization of shadow play is realized. The human body depth image is obtained based on Kinect, and the human skeleton point coordinates are obtained through segmentation mask and machine learning to generate the human skeleton.Bone …

Effectiveness Evaluation Of Surface Ship Air Defense And Antimissile Combat In Complex Electromagnetic Environment, Gaofeng Zhang, Liang Wu

Journal of System Simulation

Abstract: In order to effectively evaluate the effectiveness of surface ship air defense and antimissile combat in complex electromagnetic environment, a surface ship air defense and antimissile combat effectiveness index system is established considering the influence of equipment, environment and human behavior, the evaluation process of surface ship air defense and antimissile combat effectiveness based on analytic hierarchy process(AHP) is proposed, and a hierarchical structure model of effectiveness evaluation is constructed including five levels of target layer, sub-efficiency layer, capability layer, constraint layer and plan layer. The application shows that the evaluation process and structure model can fully reflect the …

New Embedded Simulation Technology For Smart Internet Of Things, Bohu Li, Xudong Chai, Lin Zhang, Duzheng Qing, Guoqiang Shi, Tingyu Lin, Liqin Guo, Chen Yang, Mu Gu, Zhengxuan Jia, Hui Gong, Zhen Tang

Journal of System Simulation

Abstract: Human society in the new development era and journey is facing the new situation. The operation paradigm, technology and ecosystem of industries related to the national economy and people's livelihood、national security are changing significantly towards the digital, networked, cloud-based and intelligent "Smart Internet of Things". The new embedded simulation technology, with the capabilities of online and continuous analysis, cognition, learning, decision-making, operation and optimization,is urgently needed for the development of "Smart Internet of Things". "Smart Internet of Things" is briefly introduced and the connotation, characteristics and application mode of the new embedded simulation technology are proposed and its architecture, …

Open Cloud Architecture Design For Complex Product Modeling And Simulation System, Guoqiang Shi, Zewei Liu, Tingyu Lin, Zhao Xu, Xingyi Yang, Liqin Guo, Zhengxuan Jia

Journal of System Simulation

Abstract: Aiming at the problem that the complex product modeling and simulation system focuses on co-simulation of heterogeneous models and cannot realize the on-demand sharing and collaboration of simulation resources, this paper proposes an open cloud architecture for complex product modeling and simulation systems, realized on-demand sharing and collaboration of cross-organizational simulation software and hardware resources, thereby supporting complex product system-wide, full-lifecycle, anytime, anywhere, real-time, coherent, and transparently requesting accessing and obtaining simulation services. The object-process methodology (OPM) is used to model and deduce the simulation interoperability of the system and the on-demand sharing and collaborative process of simulation resources. …

Research On Integrated Scheduling Of Agv And Machine In Flexible Job Shop, Kui Chen, Li Bi, Wenya Wang

Journal of System Simulation

Abstract: Aiming at the flexible job shop scheduling problem with AGV (automated guided vehicle), a dual resource integrated scheduling optimization model with the objective of minimizing makespan is established. In the process of population initialization, a heuristic initialization method is proposed to improve the quality of population initial solution and accelerate the convergence speed of the algorithm. A hybrid discrete particle swarm optimization algorithm that can effectively avoid premature maturation is proposed by combining the competitive learning mechanism and the random restart mechanism to address the disadvantages of discrete particle swarm algorithms that are prone to premature maturation. Simulation experiments …

Cause Analysis Of Vocs Hazards In Related Areas Based On Object Function Petri Net, Guangqiu Huang, Tiantian Wu

Journal of System Simulation

Abstract: The multi-resolution formal description based on discrete event system specification (DEVS) has the ability of hierarchical and structured description, but the description of the intelligent behavior inside the module is relatively lacking, while Agent-based modeling can describe the characteristics of individual perception, behavior, communication, cooperation, learning and evolution. Under the framework of multi-resolution modeling, DEVS and Agent model descriptions are combined to provide the description capabilities for events, behaviors, mechanisms, etc. Based on the description of multi-resolution DEVS models, a formal model description method with coupling closure is proposed, which includes the description of the multi-resolution entity-level atomic model …

Electronic Solid Waste Prediction Based On Intelligent Optimization Grey Model, Xiaoan Sun, Xiaoli Luan, Fei Liu

Journal of System Simulation

Abstract: Aiming at the problems of complex modeling mechanism and low modeling accuracy in the prediction of electronic solid waste production, an intelligent modeling method combining fractional order multiple gray model and neural network compensation model is proposed. Particle swarm optimization is used to optimize the accumulative order and background parameters of the gray model to maximize the performance of the gray model. BP neural network is used to compensate the error of gray modeling and improve the prediction accuracy of solid waste production. The effectiveness of the proposed method is verified by Washington state electronic solid waste data. The …

Job Shop Rescheduling Under Recessive Disturbance Based On Digital Twin, Dinghui Wu, Tongrui Zhang, Xiuli Zhang

Journal of System Simulation

Abstract: A new shop rescheduling model driven by digital twin is proposed to solve the problems of disturbance cumulative rescheduling. A scheduling parameter updating method is proposed and a random probability distribution is used to describe the distribution of scheduling parameters to improve the accuracy of scheduling parameters. An implicit disturbance detection model is built based on Siamese Network using real-time data as input to realize the start time of rescheduling. The sample data for scheduling knowledge mining are extracted from the historical scheduling scenarios. Through the Pseudo-Siamese CNN, the mapping relationship between the Process state and machine state is …

Research On Binocular Ranging System Based On Image Features, Jinghui Yang, Dekang Liu, Wanhe Du, Lining Xing

Journal of System Simulation

Abstract: Aiming at the problems of large measurement error, single image information, and poor real-time performance in binocular vision ranging, a binocular ranging method based on ORB (oriented fast and rotated brief) features is proposed. Median filtering is performed on the video frame, the ORB feature of the image is extracted, and the Hamming distance with the best matching effect is selected through experiments. The RANSAC (random sample consensus) model estimation is performed on the selected matching points, the mismatches are removed, the model relationship between parallax and true distance is analyzed, the optimal ranging model is constructed and verified …

Research On Optimization Of Airport Cargo Business Based On Deep Reinforcement Learning, Hongwei Wang, Peng Yang

Journal of System Simulation

Abstract: An intelligent agent technology architecture is adopted to the simulation model development of airport cargo business. Aiming at the optimization of airport cargo resources, a decision support system framework combining deep reinforcement learning (DRL) and airport cargo business simulation model is proposed. The simulated results are applied as the training data of the DRL network, and the DRL is used to optimize operation parameter of the simulation model. The mature system can be run online, which can provide optimized operation order in real time. In order to verify the effectiveness of the architecture, model development and experiments are conducted …

Research On Active Learning Method And Application Based On Covariance Matrix, Bowen Zhou, Weili Xiong

Journal of System Simulation

Abstract: Since the data collected from industrial processes often contain a large number of unlabeled samples, while the number of labeled samples is small and the cost of manual labeling is high, an active learning method based on covariance matrix is proposed. This method uses labeled samples to establish a Gaussian process regression model, and constructs the covariance matrix between the unlabeled samples, using the value of the determinant of the covariance matrix as an evaluation indicator. While selecting informative unlabeled samples, the similarity between samples is measured to avoid redundant addition of samples, which finally improves model prediction accuracy …

Research On Algebraic Loop Of Synchronous Generator Simulation Based On Simulink, Shuang Wang, Zhaohui Gao, Siyu Chen, Xiao Tang, Zhan Xi

Journal of System Simulation

Abstract: The problem of algebraic loop is common in Simulink simulation. The existence of algebraic loop will reduce the speed and accuracy of simulation, and even lead to errors in simulation results. Taking the simulation of synchronous generator as an example, the problem of algebraic loop and its elimination method in Simulink simulation are discussed. Starting from the analysis of the basic equations of synchronous generator, the cause of algebraic loop in simulation is discussed, the influence of the algebraic loop on the system simulation is pointed out, using disassembly method and transformation method, focusing on eliminating the algebraic loop, …

An Improved Atomic Search Algorithm, Jianfeng Li, Di Lu, Hexiang Li

Journal of System Simulation

Abstract: The atom search algorithm (ASO) is a new optimization algorithm proposed by imitating the movement of atoms in the natural world. An improved atomic search algorithm (IASO) is proposed to address the problems of prematureness and slow convergence of ASO in solving complex functions. IASO adds the binding force generated by the historical optimal solution of individual atoms to correct the acceleration of ASO and enhance the global search capability. The two multiplier coefficients are adaptively updated to coordinate the algorithm's global search and local development capabilities. The Gaussian mutation strategy is used to re-update the atomic position and …

Research On The Simulation Method Of Urban Rail Transit Feedback Assignment, Jianpeng Hu, Xia Luo

Journal of System Simulation

Abstract: Based on the characteristics of a large number of transfer routes in rail transit network, an improved depth first search algorithm is proposed to get the effective travel time of transfer routes between stations. Based on passenger entry and exit timing obtained from the automatic fare collection (AFC) data, the connect relationship between passengers and trains in time and route is obtained from the arrival time and route selection behavior of passengers. Considering the difference of route choice behavior between departure passenger and transfer passenger, the two are distinguished from each other. The dynamically updated travel …

Simulation Of Robust Optimal Synchronization Control For Direct Drive H-Type Motion Platform, Limei Wang, Hongyan Yao, Kang Zhang

Journal of System Simulation

Abstract: Cell manufacturing is an important organizational form of modern production systems. In scheduling of cell manufacturing systems, machine failures or interruptions are very common in practice, meanwhile the waste due to energy consumption during machine idle time cannot be ignored. Hence the relevant research is with strong significance. This paper considers the problems of machine interruption and energy consumption in cell scheduling, and developed an integer programming model to minimize the makespan as well as the cost of energy consumption during machine idling and the interruption cost. A mixed optimization method is proposed based on improved wolf pack algorithm …