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Full-Text Articles in Computer Engineering

Research On Wavelength Routing Algorithm Based On Multi-Service In Satellite Optical Networks, Qingli Liu, Junfei Yao, Zhiguo Liu Jun 2020

Research On Wavelength Routing Algorithm Based On Multi-Service In Satellite Optical Networks, Qingli Liu, Junfei Yao, Zhiguo Liu

Journal of System Simulation

Abstract: An optical wavelength routing algorithm for satellite networks based on multi-service was proposed, in order to solve the problem of low utilization rate of wavelengths, slow convergence and low efficiency of satellite optical networks. In this algorithm, it divided the area of the satellite network and updated the link in the area to improve the convergence speed of algorithm. Different services were assigned different wavelength sets to satisfy requirement of different service. According to the initial link weight, which included wavelength remain number and transmission delay, it changed link weight dynamically to achieve network load balancing and rational use …


Performance Analysis On Multiuser Untrusted Amplify-And-Forward Relay Networks, Deng Dan, Zhou Wen Jun 2020

Performance Analysis On Multiuser Untrusted Amplify-And-Forward Relay Networks, Deng Dan, Zhou Wen

Journal of System Simulation

Abstract: The effect of the untrusted relaying node was investigated on the secrecy outage probability (SOP) of amplify-and-forward (AF) relay networks in the presence of direct links and multiple users. In the considered system, the best user was selected according a certain criterion. It transmitted signals to the destination node with the aid of the untrusted relaying node. To reduce the useful information leakage, three selection criteria were proposed based on the channel state information of the direct and/or relaying link. The closed-form analytical SOP and the corresponding asymptotic expressions were derived. Computer simulation was conducted to validate the theoretical …


Forecasting Of Short-Term Power Load Of Secrpso-Svm Based On Data-Driven, Hairong Sun, Bixia Xie, Tian Yao, Zhuoqun Li Jun 2020

Forecasting Of Short-Term Power Load Of Secrpso-Svm Based On Data-Driven, Hairong Sun, Bixia Xie, Tian Yao, Zhuoqun Li

Journal of System Simulation

Abstract: For the parameter selection of support vector machine in modeling, a particle swarm optimization algorithm based on second-order oscillation and repulsion factor was proposed to optimize the parameter of SVM. The algorithm employed the nonlinear decreasing weight to balance the global and local search ability. Second-order oscillation factor could maintain the population diversity. The repulsion factor was introduced to make the swarm even distribution in search space, which could avoid local optimum. For the complex characteristics of nonlinearity, time-varying and multifactorial of electric power load, a support vector machine forecasting model based on data was proposed, and the influence …


Modeling And Simulation Of Mooring Force Prediction Based On Improved Ga-Bp Network, Shifeng Li, Zhanzhi Qiu Jun 2020

Modeling And Simulation Of Mooring Force Prediction Based On Improved Ga-Bp Network, Shifeng Li, Zhanzhi Qiu

Journal of System Simulation

Abstract: According to the mooring security and early warning control requirement of the large open sea terminal, a ship mooring force prediction model based on genetic algorithm and BP network was studied. Environmental dynamic factors were considered and a model structure was determined by a weight statistics method; the learning method was improved by individual parent information and contemporary individual local gradient information; according to the improved model, a ship mooring force prediction method of the open sea terminal was proposed. The simulation results show that the performance of the prediction model has improved in the iteration number, …


Intensity Analysis And Fatigue Life Simulation For Connecting Bolt Of Shearer Machine Body, Zhiyong Hao, Yaolong Lei, Mao Jun, Yuan Zhi Jun 2020

Intensity Analysis And Fatigue Life Simulation For Connecting Bolt Of Shearer Machine Body, Zhiyong Hao, Yaolong Lei, Mao Jun, Yuan Zhi

Journal of System Simulation

Abstract: To obtain the cutting load spectrum of themachine body connecting bolt, the method of merging unknown quantities and multi calculation combined with the test experiments of shear mechanical properties was used to solve the overdetermined equations of shearer left haulage unit spatial mechanical model The cutting load spectrum of the machine body connecting bolt was taken to run PSD analysis, and the rainflow counting method was used to script the load spectrum. The frequency domain characteristics and time domain continuation characteristics were therefore obtained. The static analysis and fatigue life simulation analysis combined with the bolt load …


Application Of Weighted Dynamic Svdd In Nonlinear Process Monitoring, Yanhong Xie, Chengao Sun, Li Yuan Jun 2020

Application Of Weighted Dynamic Svdd In Nonlinear Process Monitoring, Yanhong Xie, Chengao Sun, Li Yuan

Journal of System Simulation

Abstract: Due to the complexity of the chemical process, the data are often characterized by dynamics and correlation between sequences. Traditional support vector data description (SVDD) methods are difficult to guarantee real-time monitoring online. A Weighted-Dynamic-SVDD (WDSVDD) method was proposed to monitor fault in real time online. The dynamic method was introduced, and the correlation between the data was considered. The weighted information was used to highlight the useful information. The model was established by using SVDD method, and the online real-time fault monitoring was realized. The method not only overcomes the adverse effect of non-Gaussian and nonlinearity, but …


Research On One-Cycle Controlled Bi-Directional Dc-Dc Converter Based On Switch Capacitor Network, Chen Lei, Tinglong Pan, Yanxia Shen, Dinghui Wu, Zhicheng Ji Jun 2020

Research On One-Cycle Controlled Bi-Directional Dc-Dc Converter Based On Switch Capacitor Network, Chen Lei, Tinglong Pan, Yanxia Shen, Dinghui Wu, Zhicheng Ji

Journal of System Simulation

Abstract: According to the switch capacitor network working characteristics of discharging in series, charging in parallel, a high ratio bidirectional DC-DC converter based on switch capacitor network was proposed. In order to improve the converter's ability of resist input voltage disturbance and dynamic response speed, an improved method was focused on which combined the advantage of one-cycle control and the output voltage feedback compensation control, which could realize inhibition the input voltage perturbation in one cycle and improve the converter's resistance ability of load disturbance. The operating principle and control characteristics of the new converter were analyzed. The improved one-cycle …


Simulation On Waste Heat And Water Recovery System Of Flue Gas In Plant Boiler, Jinping Wang, Deng Yu, Bin Li, Zhu Rui Jun 2020

Simulation On Waste Heat And Water Recovery System Of Flue Gas In Plant Boiler, Jinping Wang, Deng Yu, Bin Li, Zhu Rui

Journal of System Simulation

Abstract: To further improve economy of power plant, the waste heat and water recovery system was put forward. The mathematical model of the gas cooler was established, and the simulation model of this system was built. This simulation model was integrated into the simulation system of a 350mw heating unit, and the simulation experiment was carried out. The influences caused by the introduction of the flue gas waste heat and water recovery system to thermal power unit were analyzed. The dynamic characteristics of the flue gas waste heat and water recovery system based on the valve perturbation experiments were …


Modeling And Simulation For Inter-Harmonics Of Double Pwm Ac Speed Control System For Port Bridge Crane, Wenhuan Yang, Dirui Yang, Ronggao Li Jun 2020

Modeling And Simulation For Inter-Harmonics Of Double Pwm Ac Speed Control System For Port Bridge Crane, Wenhuan Yang, Dirui Yang, Ronggao Li

Journal of System Simulation

Abstract: When the total capacity of double PWM reversible speed control system in distribution network accounts for a larger proportion of power grid capacity, the power quality pollution, or even voltage flicker is generated by interharmonics of double PWM system. Therefore the stable operation of the power grid is affected. Based on the studies on bridge crane system in Shanghai Deep water Port area, a mathematical model of multi-quadrant double PWM reversible speed control system was established. In accordance with the operating characteristics of motor, the inter-harmonic currents, injected into grid were simulated at different speeds respectively in the power …


Modeling And Simulation Of Power Communication Networking Based On Quality Of Service, Xueyi Zhang, Juhui Gu, Meiqin Zhou Jun 2020

Modeling And Simulation Of Power Communication Networking Based On Quality Of Service, Xueyi Zhang, Juhui Gu, Meiqin Zhou

Journal of System Simulation

Abstract: For the complex network topology and channel time-varying characteristics of power line carrier communication in low voltage distribution grid, there is a phenomenon of slow convergence and stagnation when solving the routing problem with traditional ant colony algorithm. The algorithm used is easy to fall into premature and local optimization. An automatic networking algorithm based on transmission delay and the load factor of the evaluation factors was proposed and a genetic algorithm was joined at a later stage. The optimal solution was obtained by using the improved crossover operators, and the convergence of optimal algorithm solution was accelerated by …


Closing The Data-Decisions Loop: Deploying Artificial Intelligence For Dynamic Resource Management, Pradeep Varakantham Jun 2020

Closing The Data-Decisions Loop: Deploying Artificial Intelligence For Dynamic Resource Management, Pradeep Varakantham

Asian Management Insights

Improving predictions and allocations to determine the optimal matching of demand and supply in a dynamic, uncertain future.


Virginia Digital Shipbuilding Program (Vdsp): Building An Agile Modern Workforce To Improve Performance In The Shipbuilding And Ship Repair Industry, Joseph Peter Kosteczko, Katherine Smith, Jessica Johnson, Rafael Diaz Jun 2020

Virginia Digital Shipbuilding Program (Vdsp): Building An Agile Modern Workforce To Improve Performance In The Shipbuilding And Ship Repair Industry, Joseph Peter Kosteczko, Katherine Smith, Jessica Johnson, Rafael Diaz

VMASC Publications

Industry 4.0 is the latest stage in the Industrial Revolution and is reflected in the digital transformation and use of emergent technologies including the Internet of Things, Big Data, Robotic automation of processes, 3D printing and additive manufacturing, drones and Artificial Intelligence (AI) in the manufacturing industry. The implementation of these technologies in the Shipbuilding and Ship Repair Industry is currently in a nascent stage. Considering this, there is huge potential to increase cost savings, decrease production timelines, and drive down inefficiencies in Lifecyle management of ships. However, the implementation of these Industry 4.0 technologies is hindered by a noticeable …


Surface Autonomous Vehicle For Emergency Rescue, Max Emerick, Ryan Shields, Christopher Feickert, Raymond Impara Jun 2020

Surface Autonomous Vehicle For Emergency Rescue, Max Emerick, Ryan Shields, Christopher Feickert, Raymond Impara

Mechanical Engineering

The goal of this document is to clearly define the problem parameters and project objectives and to clearly describe the design process, planned final design, and manufacturing and testing procedures for the senior design project of Team 26: SAVER -- the Surface Autonomous Vehicle for Emergency Rescue. This is both for the purpose of project planning and for clear communication between all parties involved in the project.

The objective of the SAVER project is to develop a proof of concept for an autonomous maritime search and rescue vehicle for aiding in man-overboard missions. To accomplish this goal, a list of …


Autonomous Butter Robot, David Chau, Michael Hegglin Jun 2020

Autonomous Butter Robot, David Chau, Michael Hegglin

Computer Engineering

Don’t you wish your butter would come to you? Well now it can with the patented Michael and David butter robot! Based on an idea from a TV show, our team set out to see if a similar robot was possible to make in real life. The objective was simple. Can we make a small table sized robot that can bring a person butter using image detection software? With that question in mind we set out buying our components. We wanted to keep it small, so we looked up devices that could do simple image processing and from there we …


Otter Debugger, Keefe Johnson Jun 2020

Otter Debugger, Keefe Johnson

Computer Engineering

This project is a debugger and programmer for the OTTER CPU, the implementation of the RISC-V ISA used by Cal Poly to teach computer architecture and assembly language in CPE 233/333 and usually implemented on the Basys3 FPGA development board. With this tool, students can quickly program their OTTER with a new/revised RISC-V program binary without resynthesizing the entire FPGA design. They can then use the debugger from a PC to pause/continue/single-step execution and set breakpoints, while inspecting and modifying register and memory contents. This enables real-time debugging of OTTER projects involving custom hardware such as a keyboard and VGA …


Design And Implementation Of Spatial Augmented Reality In Large Scene, Shuiying Ge, Shuman Liu, Shibiao Xu, Xiaopeng Zhang Jun 2020

Design And Implementation Of Spatial Augmented Reality In Large Scene, Shuiying Ge, Shuman Liu, Shibiao Xu, Xiaopeng Zhang

Journal of System Simulation

Abstract: To get long distance marker recognition in Augmented Reality, three software development toolkits were used to construct the long distance marker-less registration technology based on depth sensor, and develop a new augmented reality system based on PC platform. The tracking system was constructed by Kinect and camera. Defects in the single camera tracking system for long distance tracking were improved, and human-computer interaction in Augmented Reality was realized. By the detailed description of the main function modules, such as position calibration module, maker-less virtual-real registration module, and natural interaction module, the system design concept was introduced. Experiment results show …


Solving Flexible Job-Shop Scheduling Problem By Improved Chicken Swarm Optimization Algorithm, Shipeng Xu, Dinghui Wu, Kong Fei, Zhicheng Ji Jun 2020

Solving Flexible Job-Shop Scheduling Problem By Improved Chicken Swarm Optimization Algorithm, Shipeng Xu, Dinghui Wu, Kong Fei, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the flexible job-shop scheduling problem (FJSP) more effectively, an improved chicken swarm optimization (ICSO) algorithm was proposed. A flexible job-shop scheduling model was established for the purpose of minimizing the machine makespan. The improved chicken swarm optimization algorithm was presented. Algorithm improved the update formula of chicks and combined the advantages of simulated annealing algorithm and dynamic inertia cosine weight strategy, which achieved an effective balance of global search and local exploration. According to simulating and testing four standard functions and a flexible job shop scheduling model and compared with particle swarm optimization (PSO) and chicken swarm …


Short-Term Prediction Of Wind Speed For Wind Farm Based On Ide-Lssvm Model, Zhang Yan, Dongfeng Wang, Han Pu Jun 2020

Short-Term Prediction Of Wind Speed For Wind Farm Based On Ide-Lssvm Model, Zhang Yan, Dongfeng Wang, Han Pu

Journal of System Simulation

Abstract: To improve the prediction accuracy of short-term wind speed for wind farm, an improved differential evolution algorithm was applied to optimize the parameters of least squares support vector machine. Two mutation operators were integrated, and the scale factor and crossover probability factor were changed gradually to adapt to the evolutionary generations. The good global search ability and population diversity in early stage of evolution were ensured, therefore the local search accuracy and the convergence speed in the late stage were enhanced. The forecasting performance of the least squares support vector machine optimized by IDE was improved. Simulation experiments on …


Study On Balanced Energy-Consumption Routing Protocol Of Airfield Single-Lamp Monitoring System, Gao Mei, Bingyuan Wang, Dandan Zhang, Zhaorong Sun Jun 2020

Study On Balanced Energy-Consumption Routing Protocol Of Airfield Single-Lamp Monitoring System, Gao Mei, Bingyuan Wang, Dandan Zhang, Zhaorong Sun

Journal of System Simulation

Abstract: To extend the sensor node lifetime and balance the energy consumption of the wireless sensor network, on the basis of the protocols AL-CAME (Airfield lighting-clustering algorithm based on max energy) and ECOMP (Efficient cluster-based communication protocol), a clustered hierarchy protocol of balanced energy-consumption was proposed for the airfield single-lamp monitoring system. According to the protocol, every two sensor nodes formed a cluster, and the node with the highest remaining energy was elected to be cluster head which was responsible for data aggregation within the cluster. The balanced routing algorithm was adopted in data-transmission from cluster head to …


Study For Solar Seasonal Storage System In Transition Season, Liu Long Jun 2020

Study For Solar Seasonal Storage System In Transition Season, Liu Long

Journal of System Simulation

Abstract: The COP (Coefficient of Performance) of the GSHP system has decreased gradually year after year caused by imbalance energy loads especially in heating-dominated climate zones. The solar thermal energy storage system in transition season can solve the problems effectively. The practice of solar seasonal storage was carried out and supplied by a practical project. TRNSYS 16 was used to simulate the solar energy storage experiment process. The correctness of the model was verified by the experimental data and the simulation results were corrected. Results shows that the simulated results and the measured data were well matched with …


Robotic Manipulator's Visual Servo Control Based On Echo State Networks, Guoyou Li, Xiafei Su, Xiaolei Qin, Xiangxue Shi Jun 2020

Robotic Manipulator's Visual Servo Control Based On Echo State Networks, Guoyou Li, Xiafei Su, Xiaolei Qin, Xiangxue Shi

Journal of System Simulation

Abstract: The inaccuracy in robotic manipulator modeling, which due to the nonlinear and strong coupling of robotic manipulator itself, cannot be ignored on the study of the robotic manipulator control problem. Aiming at the inaccuracy in robotic manipulator modeling, this study led echo state network in the visual servo control system of robotic manipulator. In order to achieve the robotic manipulator positioning control, this study used the echo state network to identify inaccurate item and compensates the uncertainties of the model in the control law. The simulation model of the simulated system was built with MATLAB simulation software. The …


Upgrading Of A Data Communication And Computer Networks Course In Engineering Technology Program, Murat Kuzlu, Otilia Popescu Jun 2020

Upgrading Of A Data Communication And Computer Networks Course In Engineering Technology Program, Murat Kuzlu, Otilia Popescu

Engineering Technology Faculty Publications

Data network communications is traditionally a course offered by computer engineering technology curricula, with the primary objective to introduce to the fundamental concepts in data communication and computer networks, as well as some level of hands-on component related to this area. Typical topics in such courses are the layered model of data communication, specifically the OSI seven-layered model, Internet routing, communication standards, protocols and technologies, and learning methods used to design the network and send data over the network in a secure manner. In the last decades, the data communication and applications have grown and become ubiquitous in both industry …


The Effects Of Computer And Information Technology On Education, Iwasan D. Kejawa Jun 2020

The Effects Of Computer And Information Technology On Education, Iwasan D. Kejawa

School of Computing: Faculty Publications

In the society of ours, is it true really that computers and information technology have contributed immensely to the way we learn? After observing and reading various educational paraphernalia and scanning the environment research has shown that the educational systems have greatly been impacted by computers and information technology. With the growth of technology, the ways we learn have been improved tremendously. Innovative technologies have contributed to the innovation of learning in the education arena and outside. The traditional ways of conveying instructions to learners have been augmented with the use of computers information technologies. The educational system of our …


Curriculum Development For Robotics Technology Program, Sanjeevi Chitikeshi, Shirshak K. Dhali, Betsey Odell, Vukica Jovanovic, Cheng Y. Lin Jun 2020

Curriculum Development For Robotics Technology Program, Sanjeevi Chitikeshi, Shirshak K. Dhali, Betsey Odell, Vukica Jovanovic, Cheng Y. Lin

Engineering Technology Faculty Publications

With a growing need for a more skilled workforce, providing industry-driven and employment centric training services is an important national priority. Over 3.4 million manufacturing jobs will need to be filled across the United Sates over the next decade. The skills gap is becoming greater based on the statistics provided by the Global Robotics Technology Market: Forecast, 2014-2020 published by Research and Markets, reporting that the worldwide robotics market is forecast to grow from the 2015 level of $26.98B to $82.78B in 2020. This 11 % compounded average growth in the next five years is unprecedented. Given the anticipated growth …


Lawn Buddy, Jayson Johnston, Andrew Brown, Jacob Maljian Jun 2020

Lawn Buddy, Jayson Johnston, Andrew Brown, Jacob Maljian

Electrical Engineering

Grass lawns are a common hallmark of the American home. In 2019, a survey from the National Association of Landscape Professionals found that 81% of all Americans owned a lawn [1]. Mowing is a time consuming and costly chore that is part of maintaining a grass lawn. The manual labor in mowing a lawn can exceed 40 hours per year [2]. People commonly incur weekly costs on mowing services to save time. Traditional gas powered mowers are physically demanding and use engines that need routine maintenance. They operate loudly enough that users should be wearing hearing protection and the noise …


The Characterization Of Effective Electromagnetic Fields On The Safety And Quality Of Low-Moisture Foods (Effs) - Prototype Device Development, Joe G. Sandoval Jun 2020

The Characterization Of Effective Electromagnetic Fields On The Safety And Quality Of Low-Moisture Foods (Effs) - Prototype Device Development, Joe G. Sandoval

Electrical Engineering

Contamination of low-moisture foods including flour, wheat grain, baby formula, and more, have increasingly become a concern due to sanitizing challenges. While industrial food processors have long used RF heating to sanitize mass quantities, an equivalent consumer device is absent from the market today. The Characterization of Effective Electromagnetic Fields on the Safety and Quality of Low-Moisture Foods (EEFS) project is an interdisciplinary effort to develop an RF heating consumer device to sanitize low-moisture foods.

A prototype device was designed to sanitize low-moisture food items using RF heating acceptable for commercial or consumer applications.


Artificial Neural Network To Detect Alzheimer's In Mri Scans, James Alden Poirier, Michael Gary Tuttle Jun 2020

Artificial Neural Network To Detect Alzheimer's In Mri Scans, James Alden Poirier, Michael Gary Tuttle

Electrical Engineering

Alzheimer’s Disease ranks (AD) as one of the most common diseases in America. Currently, detecting Alzheimer’s Disease relies upon reported symptoms, however changes in the brain can manifest years or decades before symptoms appear. In recent years, researchers have successfully utilized Artificial Neural Networks (ANN) for a variety of image classification tasks. Here, we train an ANN to detect Alzheimer’s Disease using magnetic resonance imaging (MRI) brain scans. Giving an MRI to both a neural network and a doctor will allow the doctor to be more confident in their answer, as well as double-check their answer with an objective report …


Reading Robot, Gillian Watts, Andrew Myers, Sabrinna Tan, Taylor Klein, Omeed Djassemi Jun 2020

Reading Robot, Gillian Watts, Andrew Myers, Sabrinna Tan, Taylor Klein, Omeed Djassemi

General Engineering

Presently, there is an insufficient availability of human experts to assist students in reading competency and comprehension. Our team’s goal was to create an improved socially assistive robot for use by therapists, teachers, and parents to help children and adults develop reading skills while they do not have access to specialists. HAPI is a socially assistive robot that we created with the goal of helping students practice their reading comprehension skills. HAPI enables a student to improve their reading skills without an educator present, while enabling educators to review the student's performance remotely. Design constraints included: physical size, weight, duration …


What Do Undergraduate Engineering Students And Preservice Teachers Learn By Collaborating And Teaching Engineering And Coding Through Robotics?, Jennifer Jill Kidd, Krishnanand Kaipa, Samuel J. Jacks, Stacie I. Ringleb, Pilar Pazos, Kristie Gutierrez, Orlando M. Ayala, Lillian Maria De Souza Almeida Jun 2020

What Do Undergraduate Engineering Students And Preservice Teachers Learn By Collaborating And Teaching Engineering And Coding Through Robotics?, Jennifer Jill Kidd, Krishnanand Kaipa, Samuel J. Jacks, Stacie I. Ringleb, Pilar Pazos, Kristie Gutierrez, Orlando M. Ayala, Lillian Maria De Souza Almeida

Teaching & Learning Faculty Publications

This research paper presents preliminary results of an NSF-supported interdisciplinary collaboration between undergraduate engineering students and preservice teachers. The fields of engineering and elementary education share similar challenges when it comes to preparing undergraduate students for the new demands they will encounter in their profession. Engineering students need interprofessional skills that will help them value and negotiate the contributions of various disciplines while working on problems that require a multidisciplinary approach. Increasingly, the solutions to today's complex problems must integrate knowledge and practices from multiple disciplines and engineers must be able to recognize when expertise from outside their field can …


Transferring And Regularizing Prediction For Semantic Segmentation, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei Jun 2020

Transferring And Regularizing Prediction For Semantic Segmentation, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei

Research Collection School Of Computing and Information Systems

Semantic segmentation often requires a large set of images with pixel-level annotations. In the view of extremely expensive expert labeling, recent research has shown that the models trained on photo-realistic synthetic data (e.g., computer games) with computer-generated annotations can be adapted to real images. Despite this progress, without constraining the prediction on real images, the models will easily overfit on synthetic data due to severe domain mismatch. In this paper, we novelly exploit the intrinsic properties of semantic segmentation to alleviate such problem for model transfer. Specifically, we present a Regularizer of Prediction Transfer (RPT) that imposes the intrinsic properties …