Performance Analysis Of Cognitive Cooperative Systems Based On Quadrature Spatial Modulation,
2021
Henan Polytechnic University, School of Physics and Electronic Information Engineering, Jiaozuo 454000, China;
Performance Analysis Of Cognitive Cooperative Systems Based On Quadrature Spatial Modulation, Guo Hui, Xuejiao Guo, Ting Qiao, Liu Meng
Journal of System Simulation
Abstract: The cognitive cooperative communication system based on quadrature spatial modulation (QSM) is proposed to solve the problems of inter-channel interference and inter-antenna synchronization. The mean power allocation algorithm is used to analyze performance of the system. In addition, the relay nodes and the destination node decode their received signals with the maximum likelihood detection algorithm. The exact closed expressions of outage probability under random relay selection (RRS), suboptimal relay selection (SRS) and optimal relay selection (ORS) are derived respectively. The approximate outage probabilities in the high signal-to-noise ratio region are derived, and the diversity gains of three relay …
Time-Delay Estimation For Mimo Delay Systems With Unknown Structures,
2021
North China Electric Power University, Department of Automation, Baoding 071003, China;
Time-Delay Estimation For Mimo Delay Systems With Unknown Structures, Xuguang Wang, Mengjie Feng, Su Jie, Jiale Quan
Journal of System Simulation
Abstract: In the unknown-structure delay system modeling, time-delays lead to a mismatch between the system inputs and outputs on the timeline and cause low system modeling accuracy. A time-delay estimation method is proposed for the unknown-structure MIMO (Multiple-Input Multiple-Output) delay systems. A general mathematical description is given from the algebraic point of view, the delay correlation function is defined, and a quantitative constraint between system input-output and time-delay is constructed. A greedy time-delay search algorithm is introduced based on the delay correlation function. Simulation experiments and real data experiments show the availability of the proposed method.
Fault Detection Of Wind Turbine Bearing Based On Bo-Sdae Multi-Source Signal,
2021
Engineering Research Center of internet of Things Technology Appliations Ministry of Education, Jiangnan University, Wuxi 214122, China;
Fault Detection Of Wind Turbine Bearing Based On Bo-Sdae Multi-Source Signal, Dinghui Wu, Zhichao Zhu, Xinhong Han
Journal of System Simulation
Abstract: Due to the discrepancy within signals from sensors of wind turbines caused by environmental interference, the fault detection results of wind turbine bearing will be affected and the multi-source signal fault diagnosis method is proposed to improve the reliability of fault detection. The time-domain and frequency-domain features of bearing vibration signals, noise signals and temperature signals are used for feature extraction,and then the features are transmitted to the stacked denoising autoencoders, which are optimized the hidden layer node structure by the Bayesian optimization algorithm to achieve multi-source signal feature fusion. Softmax function is used for classification. Experiments show that …
Auxiliary Application Of Wearable Computing Equipment In Industrial Intelligent Operation And Maintenance,
2021
Changsha Cigarette Factory, China Tobacco Hunan Industrial Corporation. Changsha 410007, China;
Auxiliary Application Of Wearable Computing Equipment In Industrial Intelligent Operation And Maintenance, Shen Yi, Wu Gang, Zhou Rui
Journal of System Simulation
Abstract: Virtual operation and intelligent operation and maintenance based on wearable integrated computing devices have become a trend of lean industrial production. The operation and maintenance efficiency of tobacco production equipment can be directly improved by using mixed reality, virtual simulation and other technologies, combined with virtual interactive assistance applications . Combining 5G, IoT and big data technologies, a system design of wearable smart devices is proposed based on smart glasses with multi-dimensional spatial information synchronization, computer vision and natural perceptual interaction, and a set of design scheme for auxiliary operation and maintenance of cigarette equipment is innovated. The intelligent …
Research On Variable Swept Wing Mode Of Missile Based On Flutter Characteristics,
2021
1. Air Force Engineering University Graduate College, Xi’an 710051, China; ;
Research On Variable Swept Wing Mode Of Missile Based On Flutter Characteristics, Gao Yang, Yanbin Li, Wang Ying, Zhang Ze, Lü Rui
Journal of System Simulation
Abstract: The variable sweep angle of missile wing is an important variant missile design scheme. In the process of variant design, the aerodynamic and flutter characteristics of missile will be significantly different by using different variable sweep methods. Referring to the shape characteristics of Tomahawk missile, the geometric model of variable sweep wing missile is established. The flutter characteristics of variable sweep wing missile under different variable sweep angle modes are calculated and analyzed by fluid structure coupling method, and the selection scheme of variable sweep wing mode based on flutter characteristics is explored. The results show that the …
Rapid Development Technology Of Virtual Maintenance Training Simulation Model For Aviation Equipment,
2021
Chengdu Aircraft Design and Research Institute, Aviation Industry Corporation of China, Ltd. Chengdu 610091, China;
Rapid Development Technology Of Virtual Maintenance Training Simulation Model For Aviation Equipment, Rongqiang Li, Aibing Wen, Bin Hua, Jiajun Li, Jiang Bing
Journal of System Simulation
Abstract: Taking the practical application of the aircraft virtual maintenance training as the demand, the basic development process and technical means of the aircraft virtual maintenance training simulation model are analyzed, which solves the technical bottleneck in the popularization and application of the large-scale engineering. Aiming at the crucial problems such as the low efficiency in the development of maintenance training simulation model and the difficulties in updating the model, a rapid development process to support the large-scale engineering applications is proposed. The principles and implementation ways of three key technologies supporting the rapid development of virtual maintenance training simulation …
Day-Ahead Dispatching Model Of Source-Load Coordination Based On Response Behavior To Real-Time Pricing,
2021
Department of Electrical Engineering, Guizhou University, Guiyang 550025, China;
Day-Ahead Dispatching Model Of Source-Load Coordination Based On Response Behavior To Real-Time Pricing, Liu Yun, Han Song, Qiuli Huang
Journal of System Simulation
Abstract: In order to give full play to the regulating role of electricity price on the market, considering the difference of consumers' response behavior to real-time pricing, consumers are divided into short-term consumers, mixed consumers and long-term consumers, and the real-time pricing models of three types of consumers are constructed based on the electricity price elasticity matrix. On this basis, a day-ahead dispatching model of source-load coordination based on consumer’s response behavior to real-time pricing is established. With the help of the MOST toolkits in MATPOWER and the Mosek solver, the arithmetic analysis is developed in a modified IEEE 57-buses …
An Improved Differential Evolution Algorithm For Fractional Order System Identification,
2021
1. School of Mechanical and Electrical Engineering and Automation, Foshan University, Foshan 528000, China; ;
An Improved Differential Evolution Algorithm For Fractional Order System Identification, Yu Wei, Henghui Liang, Luo Ying
Journal of System Simulation
Abstract: In order to build a high-precision fractional-order model, which needs to identify more parameters, an improved differential evolution algorithm is proposed for the identification of fractional-order systems. In the mutation strategy, the basis vector is randomly selected from the optimal individual population, and the scaling factor and cross-probability factor are adaptively adjusted according to the information of the successfully mutated individual during the search process to improve the exploration and mining capabilities of the algorithm. By solving the five test functions, the improved algorithm is proved to have strong solving ability. Taking the fractional-order model of permanent magnet synchronous …
Design And Simulation For Compensatory Controller Of Aircraft Rudder Electro-Hydraulic Loading System,
2021
1. Civil Aviation University of China Tianjin Key Laboratory for Advanced Signal Processing, Tianjin 300300, China; ;
Design And Simulation For Compensatory Controller Of Aircraft Rudder Electro-Hydraulic Loading System, Xiaolin Liu, Jingyi Wu
Journal of System Simulation
Abstract: The electro-hydraulic loading system of aircraft rudder is a torque servo system which is a special equipment for testing the performance of rudder. In order to reduce the influence of surplus force in loading system, a control method for PID controller tuned in real time by radial basis function neural network based on particle swarm optimization is proposed. The characteristics of global and hyper parameter optimization of particle swarm optimization are used to improve the control effect of the controller. The learning coefficient based on annealing is used to accelerate the network convergence speed. Simulation results show that, compared …
Bilingual Harmony Micro-Simulation Model And Computational Experiment,
2021
1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; ;
Bilingual Harmony Micro-Simulation Model And Computational Experiment, Shouming Zhang, Zhiping Wang, Guihong Bi, Zhenghua Zeng
Journal of System Simulation
Abstract: Under the background of urbanization, the weak connection of social networks has increased, which has challenged the protection of vulnerable languages. A new social network with remote weak connection is constructed based on the improved modeling method of agent social circle network; in addition to considering the influence of language status and the language population ratio on the language evolution mechanism of different populations, a new mechanism is introduced for the influence of bilinguals on the transition from monolingual to bilingual, and the influence of language attitudes and network connections on language choice behaviors; an improved agent language level …
Explicit Model Predictive Control For Intelligent Vehicle Lateral Trajectory Tracking,
2021
School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
Explicit Model Predictive Control For Intelligent Vehicle Lateral Trajectory Tracking, Leng Yao, Shuen Zhao
Journal of System Simulation
Abstract: To ensure the accuracy, driving stability and online real-time of intelligent vehicle tracking control, an explicit model predictive tracking control method is designed. The cost functions and constraints for tracking accuracy and driving stability in the prediction time domain are proposed. The tracking control problem is transformed into the optimization of the active steering angle with dynamic disturbances. To improve the real-time performance, the traditional model predictive control system is transformed into an equivalent explicit polyhedral piece-wise affine (PPWA) system, and the active steering angle of front wheel is gained by the explicit law on parameter partition. Carsim and …
Simulation And Experimental Verification Of Precision Grinding Of Micro-Groove Structure,
2021
School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Simulation And Experimental Verification Of Precision Grinding Of Micro-Groove Structure, Haoyang Cao
Journal of System Simulation
Abstract: In order to study the influence of micro-groove structure precision grinding, based on grinding wheel dressing and grinding kinematics, a grinding simulation model for the micro-groove structural surface is established. The influence of dressing, grinding parameters and pitch length on the profile of micro-groove structure was analyzed systematically, the grinding conditions for forming complete or interfering micro-groove profile are described, the profile and size of micro-groove are predicted, and the grinding test is carried out on carbon steel. The test results are consistent with the trend of the simulation model. The profile and size of the micro-groove …
Multi-Objective Optimization Of Multi-Task Parallel Motorcycle Suspension System Parameters,
2021
School of Mechanical & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
Multi-Objective Optimization Of Multi-Task Parallel Motorcycle Suspension System Parameters, Xiansheng Ran, Yang Jing, Luo Ling, Chen Kai
Journal of System Simulation
Abstract: Aiming at the comprehensive problem of wobble of front suspension system and weave of rear suspension system of large displacement motorcycle at medium and high speed, a multi-objective optimization scheme based on sensitivity analysis and approximate modeling is proposed. The motorcycle model is established and the dynamics simulation is carried out. The lateral acceleration of front wheel's centroid position, the yaw rate and roll rate of whole vehicle's centroid position, which characterize the wobble and weave are the targets. The sensitivity analysis of suspension system parameters and the approximate modeling are carried out. Based on the analysis results, …
Multi-Class Multi-Intersection Iot-Based Vehicle Counting,
2021
Santa Clara University
Multi-Class Multi-Intersection Iot-Based Vehicle Counting, Jay Ladhad, Colin Rioux, Maggie Dong, Chris Tian, Donovan Allen
Computer Science and Engineering Senior Theses
Traffic management is an important public infrastructure component that can greatly benefit from an intelligent reactive system. Vehicle counting is a vital aspect of an intelligent traffic system that could mitigate traffic congestion and increase the efficiency of traffic lights. While previous research has made progress in developing machine learning algorithms for vehicle counting and tracking, they did not have any hardware constraints and were not designed to run on IoT devices in real time. Our team proposes a decentralized method of vehicle counting and tracking through a system of IoT devices, namely Jetson Xavier NX’s, that communicate vehicle identification …
A Method For Comparative Analysis Of Trusted Execution Environments,
2021
Portland State University
A Method For Comparative Analysis Of Trusted Execution Environments, Stephano Cetola
Dissertations and Theses
The problem of secure remote computation has become a serious concern of hardware manufacturers and software developers alike. Trusted Execution Environments (TEEs) are a solution to the problem of secure remote computation in applications ranging from "chip and pin" financial transactions to intellectual property protection in modern gaming systems. While extensive literature has been published about many of these technologies, there exists no current model for comparing TEEs. This thesis provides hardware architects and designers with a set of tools for comparing TEEs. I do so by examining several properties of a TEE and comparing their implementations in several technologies. …
Crossroad - Avoid Crowd Intelligence,
2021
Santa Clara University
Crossroad - Avoid Crowd Intelligence, Xukun Zhang, Yuzheng Wu, Haochen Zhang
Interdisciplinary Design Senior Theses
Nowadays, waiting takes big chunks of daily-life activity. People may always find themselves facing long queues, waiting in a crowded facility, even when they have tried to avoid peak hours. Heading to a highly populated public area may have felt like heading to a battlefield. Without access to the real-time information of the facility, people start to discover that waiting starts to become an unpredictable event that can sometimes delay their schedule or even worse. This project serves as a solution to tackle this lack of transparency. Crossroad aims to combine facilities’ cameras with micro-controller to see the engagement of …
Real-Time Multi-Camera Traffic Intersection Analysis On Iot Devices,
2021
Santa Clara University
Real-Time Multi-Camera Traffic Intersection Analysis On Iot Devices, Ethan Paek, Tyler Niiyama, Justin Liu, Spencer Tsang, Kent Ngo, Jackson Tseng
Computer Science and Engineering Senior Theses
The continuous growth of urban and suburban areas has increased the number of commuters and general transportation along central roadways, which has resulted in a trend of more traffic congestion in essential areas every year. This creates a challenge for civil engineers to improve the efficiency of the traffic intersection systems. Our team worked on this issue by building a system to improve traffic intersection analysis by video camera to count cars using multiple camera angles at a single intersection. By providing better real-time traffic network analysis, civil engineers can more accurately monitor the efficiency of traffic intersections and then …
Smart Grid Security Simulator,
2021
Santa Clara University
Smart Grid Security Simulator, Christopher Woo
Computer Science and Engineering Senior Theses
No abstract provided.
Smart Pantry,
2021
Santa Clara University
Smart Pantry, Audrey Hou, Sukruth Krishnakumar, Jacob Lucke
Computer Science and Engineering Senior Theses
Two-thirds of food waste at home is due to food going bad before it is used. Mitigating this food waste would mean keeping track of groceries’ shelf lives, which is a time sink. Our solution is a grocery monitoring system that tracks grocery items, saves time, and makes meal planning more convenient and efficient through recipe recommendation. Tracking groceries is accomplished through using a camera in tandem with weight sensors. Grocery items are identified using computer vision to avoid the tedium of manually inputting grocery information. With the data collected, a dashboard is generated with groceries currently on the scale …
Urban Planning Optimization Via “Cities: Skylines”,
2021
Santa Clara University
Urban Planning Optimization Via “Cities: Skylines”, Carter Duncan, Jack Cunningham, Andrew Wang, Alexander Kennedy
Computer Science and Engineering Senior Theses
Artificial intelligence and machine learning have recently become a hot topic in terms of software solutions to complex problems. Every year, new prototypes and projects are created to solve specific problems, ranging from self-driving vehicles to facial recognition. One project which interested our team was OpenAI Five, which created an artificial intelligence agent to play the complex online competitive game DotA 2. We wanted to create our own agent to design optimized city layouts in the game Cities: Skylines. By doing so, we hope to illustrate the viability of using artificial intelligence as a tool in urban planning for real …
