Computer Engineering Commons^™

Research On Live Migration Scheduling Method For Communication Network Simulation System Based On Vmotion, Yanfang Fu, Gao Xiang, Cheng Bing, Xueyao Feng

Journal of System Simulation

Abstract: In order to make the quality of the simulation service not being affected by load dynamic changes, heuristic scheduling algorithm was proposed. Using the VMotion technology, the virtualization simulation platform was created by calling the SDK. Through the research of the simulation platform application overhead and virtual resource scheduling technology, the single communication network simulation model was modified, implementing the distributed network collaborative simulation which adapted to multiple virtual machines, providing new ideas for the mass communication network simulation system.

Design Of Navigation Electronic Interference System For Flight Simulator, Zengbo Zhou, Chen Xi, Zhenyu Sun, Li Xiang

Journal of System Simulation

Abstract: Modern military combat pays more attention to the electronic interference and anti interference, as the important component, the aircraft navigation system is one of the main objects attacked by enemy electronic jamming. In order to simulate the electronic jamming influence on navigation performance of the system, the establishment of an electronic jamming system in aircraft engineering simulator, was designed for the flight simulator interference model and statistical model frame work, and according to the integrity of the system testing and calculation results, the interference was divided into five levels, which not only specified the electrical interference, but also …

Self Formation Development Mode With Vopes, Changming Fu, Chunsheng Long, Tang Hong

Journal of System Simulation

Abstract: To solve the growing conflict between requirements and applications in simulation/visualization, self-formation development mode was proposed: domain experts DIY by WYSWYG in a self-adapting process. VOPES (Visual Open platform for Engineering System) was briefly introduced: integrated architecture, system modeling tools, visualization tools, automatic generation, debugging, deploying, and runtime infrastructure. VOPES enables domain expert to produce distributed simulation/visualization application, no need of coding, complex program skill, hard rules like UML, HLA, DDS, etc. VOPES can be widely used in applications like mission simulation, equipment demonstration, virtual range, training, ITEM. It is especially suitable to the fast, agile, complex simulation/visualization application, …

Design Of Drilling Jumbo Simulation Training System Based On Vega Prime, Youcai Wang, Zilong Guo, Xinhai Xiang, Honghai Luan

Journal of System Simulation

Abstract: A drilling jumbo simulation training system was developed based on the Vega Prime in the MFC framework. The interactive communication control platform was built based on PCI bus, and then multithreading technology was adopted to achieving the Synchronous data communication between acquisition card and computer. A variety of modeling software was studied to aid Creator modeling method, and then the motion simulation of the drilling jumbo double-arm realization method based on DOF nodes was studied, which realized the real-time dynamic interaction of the system. By using the active 3d stereo imaging principle, the realization method of 3d stereo display …

Boiler Combustion Optimization Based On Bayesian Neural Network And Genetic Algorithm, Haiquan Fang, Huifeng Xue, Li Ning, Fei Xi

Journal of System Simulation

Abstract: Neural network and genetic algorithm have been extensively used in boiler combustion optimization problems. But the traditional Back Propagation neural network's generalization ability is poor. The Bayesian regularization can improve the neural network's generalization ability. A boiler combustion multi-objective optimization method combining Bayesian regularization BP neural network and genetic algorithm （Bayes NN-GA）was researched. A number of field test data from a boiler was used to simulate the Bayesian neural network model. The results show that the thermal efficiency and NOx emissions predicted by the Bayesian neural network model show good agreement with the measured, and the optimal results show …

Attitude Control Of Three-Axis Flexible Satellite Based On Active-Disturbance-Rejection Sliding Mode Method, Yunjie Wu, Li Chen, Ma Zheng

Journal of System Simulation

Abstract: By using Kane method, a mathematical model with CMGs as actuators was built for the three-axis satellite with flexible appendages. An active-disturbance-rejection sliding mode controller was designed for the demand about quickness and stability in attitude control. This controller observed the disturbance by expanded state observer, and compensated the output. The slide mode method in the controller made the system quick and stable. The simulation experiments show that the controller could control the attitude of three-axis satellite efficiently and weaken the vibration of flexible solar panel. The active-disturbance-rejection sliding mode controller shows the merits of both active-disturbance-rejection method …

Least-Energy Maneuver Of Five-Link Manipulator Constrained Within Tunnel Space Using Direct Collocation, Xiuqiang Pan, Chengcai Mei, Junjie Chen

Journal of System Simulation

Abstract: Optimal control and designs least-energy maneuver control laws for a five-linked manipulator were applied in order to carry out designated tasks in a confined space. Lagrange-Euler equation described the relationships between the actuators and system dynamics. Euler-Lagrange formulation indicates how optimization can be achieved when optimum occurs. Direct collocation method was introduced in order to solve this highly nonlinear dynamic optimal control problem. Simulations were done to exploit how the manipulator reacted to the constraint. In this study, the diameter of the cylindrical space was shrunken each time by 0.1 meters. The value of the cost function and …

Research Of Multi-Views Based Weapon And Equipment Simulation Model Architecture, Chunguang Peng, Jianhui Deng, Zhang Bo

Journal of System Simulation

Abstract: ：It's an important approach to build reasonable and complete simulation model architecture for promoting the simulation interoperability, establishing simulation model standards and promoting reusability of models and codes. Some problems existed in the research of simulation model architecture were analyzed. The weapon and equipment simulation model architecture describing method based on multi-views was brought out by using the system engineering theory, which emphasized on the complicated relations between modes and its environment. The method could describe simulation model architecture from different views of different users. Therefore, based on DoDAF and the popular software architecture, five-view models of weapon …

Research On Equipment Operation Capabilities Requirements Based On Exploratory Simulation Experiment Methodology, Zongrui Yan, Yinhua Wu, Chen Yong, Jianshu Dong

Journal of System Simulation

Abstract: Analysis on equipment operation requirements is a very difficult problem which has included a lot of uncertain factors, and it can assist peoples to determine whether the equipment item should be started. Exploratory simulation experiment methodology which is synthetized by exploratory analysis and war fighting experimentation can provide a better service for many problems about the equipment demonstration. Through the summary on basic applications exploratory simulation experiments related out comes and its analysis for concrete implementation steps equipment demonstration areas, a tactical level exploratory simulation methodology and its concrete implementation steps were proposed for the operational requirements analysis. An …

Research And Development Of Eicas System Emulator Based On Idata, Baoming Zhao, Hongshu Cheng, Cancan Liu, Jiying Li

Journal of System Simulation

Abstract: Some modeling tools can't design simulation instruments efficiently and conveniently such as OpenGL, etc. A cockpit display development tool of IData was worked in which has graphical user interface and could develop a system easily and rapidly. IData is a method of designing maps and pictures, it can respond variables of application and controlling events in real time and develop graphical interface by clicking on the menu. So IData can reduce the time of graphic development and integration in simulation. In order to render maps in real time, IData used a powerful graphic editor to model for instruments, and …

Diagnosis Of Aircraft Control Surface Fault Based On Semi-Physical Simulation, Yunlong Li, Xia Jie, Zifang Shi

Journal of System Simulation

Abstract: The aircraft control surface defaults of rudders were mainly divided into jam fault and damage fault. On the basis of the relationship between motor toque and hinge moment, a new method of using the motor voltage was proposed to detect the control surface'faults of rudder. And the method could detect the damage degree of the faults. Torque motor was used to play the role of hinge moment. And the new method was simulated by Semi-Physical system which is consisted of dSPACE system, PC and simulated rudder actuator. The results show that, the damage faults and jam faults can be …

Research On Scenario-Driven Component-Based Model Composition Method, Jianchun Zhang, Fengju Kang

Journal of System Simulation

Abstract: To fulfil the requirements for fast, easy and integrated modeling under certain operation conditions, a model composition method of scenario-driven was proposed. Starting with corresponding composition framework, traditional component models were extended through corresponding meta-model and normalization description of scenario was given. Furthermore, a full combat simulation system could be constructed quickly by realizing integrated process including three processes: scenario parse, model search and match. By preliminarily performing underwater weapon system modeling and simulation application, the result shows efficiency of this composition method.

Learning Deep Architectures For Power Systems Operation And Analysis, Mahdi Khodayar

Electrical Engineering Theses and Dissertations

With the rapid increase in size and computational complexities of power systems, the need for powerful computational models to capture strong patterns from energy datasets is emerged. In this thesis, we provide a comprehensive review on recent advances in deep neural architectures that lead to significant improvements in classification and regression problems in the area of power engineering. Furthermore, we introduce our novel deep learning methodologies proposed for a large variety of applications in this area. First, we present the interval deep probabilistic modeling for wind speed forecasting. Incorporating the Rough Set Theory into deep neural networks, we create an …

Agents For Smart Power Grids, Salem Al-Agtash, Hossam Abdel Hafez

Computer Science and Engineering

The future of electricity systems will compose of small-scale generation and distribution where end-users will be active participants with localized energy management systems that are able to interact on a free energy market. Software agents will most likely control power assets and interact together to decide the best and safest configuration of the power grid system. This paper presents a design of agents that can be deployed in real-time with capabilities that include optimization of resources, intensive computation, and appropriate decision-making. Jordan 51-bus system has been used for simulation with a total generation capacity of 4050 MW of which 230 …

Snitch Application: Addressing Cyber Trust In Future Living Spaces, Russell Moore

Cybersecurity Undergraduate Research Showcase

The future of smart homes is filled with excitement and ample opportunity to live in an environment that features extraordinary convenience and energy efficiency. Devices such as Amazon Alexa and Roku Smart TV’s feature voice interaction options that provide the user with enhanced functionality. While voice-activated devices are accommodating, it is imperative to acknowledge how they work on the backend. The problem is that these devices collect and share a large amount of data from users who are oftentimes unaware that it’s even happening. The Snitch App is being developed in order to inform the user of what exactly is …

Social Participation Performance Of Wheelchair Users Using Clustering And Geolocational Sensor's Data, Yukun Yin, Kar Way Tan

Research Collection School Of Computing and Information Systems

For wheelchair users, social participation and physical mobility play a significant part in determining their mental health and quality of life outcomes. However, little is known about how wheelchair users move about and engage in social interactions within their life-spaces. In this project, we investigate the social participation performance of the wheelchair users based on a combination of geolocational and lifestyle survey data collected over a period of three months. This paper adopts a multi-variate approach combining geolocational travel patterns and various factors such as independence, willingness and self-perception to provide multi-faceted analysis to their lifestyles. We provide profiles of …

Secure Mobile Computing By Using Convolutional And Capsule Deep Neural Networks, Rui Ning

Electrical & Computer Engineering Theses & Dissertations

Mobile devices are becoming smarter to satisfy modern user's increasing needs better, which is achieved by equipping divers of sensors and integrating the most cutting-edge Deep Learning (DL) techniques. As a sophisticated system, it is often vulnerable to multiple attacks (side-channel attacks, neural backdoor, etc.). This dissertation proposes solutions to maintain the cyber-hygiene of the DL-Based smartphone system by exploring possible vulnerabilities and developing countermeasures.

First, I actively explore possible vulnerabilities on the DL-Based smartphone system to develop proactive defense mechanisms. I discover a new side-channel attack on smartphones using the unrestricted magnetic sensor data. I demonstrate that attackers can …

Need Based Evaluation Of Cloud Services In The Wake Of Covid-19, Samir Souidi, Stanley Mierzwa

Center for Cybersecurity

For many organizations, particularly those that may be considered legacy, or older existing enterprises, the recent COVID-19 pandemic may be pushing them to further progress into the realm of cloud services. With the global population asked to quarantine or shelter-in-place during the pandemic spread of 2020, many businesses that were able to function with their workforce remotely had no choice but to do so. Having information systems available with true remote access capabilities was a must. For those organizations who had already moved to a cloud-based model, they found themselves in a far better situation than those firms who still …

Enhanced Control Algorithms In Permanent Magnet Synchronous Machines, Haibo Li

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Permanent magnet synchronous machines (PMSMs) are gaining increasing popularity in various applications due to their advantages, such as high efficiency, high power density, and superior control performance. A well-designed machine control algorithm is indispensable for a PMSM system to secure its good performance.

In this work, enhanced control algorithms in PMSMs are developed. Online machine current trajectory tracking, source power management, hardware overcurrent regulation, and machine current sensor fault detection and isolation (FDI) are included in the developed algorithms. The online machine current trajectory tracking ensures the maximum torque per ampere (MTPA) or maximum torque per voltage (MTPV) control in …

An End-To-End Trainable Method For Generating And Detecting Fiducial Markers, J. Brennan Peace

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Existing fiducial markers are designed for efficient detection and decoding. The methods are computationally efficient and capable of demonstrating impressive results, however, the markers are not explicitly designed to stand out in natural environments and their robustness is difficult to infer from relatively limited analysis. Worsening performance in challenging image capture scenarios - such as poorly exposed images, motion blur, and off-axis viewing - sheds light on their limitations. The method introduced in this work is an end-to-end trainable method for designing fiducial markers and a complimentary detector. By introducing back-propagatable marker augmentation and superimposition into training, the method learns …

Investigating Single Precision Floating General Matrix Multiply In Heterogeneous Hardware, Steven Harris

McKelvey School of Engineering Graduate Student Theses & Dissertations

The fundamental operation of matrix multiplication is ubiquitous across a myriad of disciplines. Yet, the identification of new optimizations for matrix multiplication remains relevant for emerging hardware architectures and heterogeneous systems. Frameworks such as OpenCL enable computation orchestration on existing systems, and its availability using the Intel High Level Synthesis compiler allows users to architect new designs for reconfigurable hardware using C/C++. Using the HARPv2 as a vehicle for exploration, we investigate the utility of several of the most notable matrix multiplication optimizations to better understand the performance portability of OpenCL and the implications for such optimizations on this and …

Intelligent Algorithm For Trapezoidal Interval Valued Neutrosophic Network Analysis, Florentin Smarandache, Said Broumi, Deivanayagampillai Nagarajan, Malayalan Lathamaheswari, Mohamed Talea, Assia Bakali

Branch Mathematics and Statistics Faculty and Staff Publications

The shortest path problem has been one of the most fundamental practical problems in network analysis. One of the good algorithms is Bellman-Ford, which has been applied in network, for the last some years. Due to complexity in the decision-making process, the decision makers face complications to express their view and judgment with an exact number for single valued membership degrees under neutrosophic environment. Though the interval number is a special situation of the neutrosophic, it did not solve the shortest path problems in an absolute manner. Hence, in this work, the authors have introduced the score function and accuracy …

Performance Analysis Of V2v And V2i Communications Using Empirical Path Loss Models Indicators And Embedded Iot Devices, Ibrahim Lateef Oraibi Al Kinoon

Theses and Dissertations

Vehicle management technologies deals with the management of critical vehicle information, including location, idle time, speed, and mileage. Such information can always be transferred through a direct vehicle-to-vehicle communication among cars. However, the limitation of this type of design is that it is based on the assumption that vehicles are always served by cellular bases, which is not always the case. For the effective implementation of the Internet-of-Things (IoT) technology in this sector, it is critical to design vehicles with systems that enable them to transmit essential information in the absence of base stations. IoT technologies can then be used …

One Dimensional Neural Time Series Generation, Kaleb Earl Smith

Theses and Dissertations

Time dependent data is a main source of information in today’s data driven world.Generating this type of data though has shown its challenges and made it an interesting research area in the field of generative machine learning. The challenge with this one-dimensional (1D) data has been for applications in machine learning to gain access to a considerable amount of quality data needed for algorithm development and analysis. Modeling synthetic data using a Generative Adversarial Network (GAN) has been at the heart of providing a viable solution. Our work focuses on one dimensional times series and explores the “few shot” generation …

Three-Dimensional (3d) Reconstruction Of Computed Tomography (Ct) Abdominal Images Using Visualization Toolkit (Vtk), Mat Saad Afifah Husna

Student Works (2020-2029)

A computerized tomography (CT) or computerized axial tomography (CAT) scan combines data from several X-raysito produce a detailed image of structures inside the body. CT scans produce 2D of a “slice” or section of the abdomen but the data can also be used to construct 3-dimensional images. However, CT scan unable to accurately represent the internal structure of soft tissues and soft-tissue lesions. Therefore, using the program in Visualization Tool Kit (VTK) is needed to construct a much more clearer 3D image. To reconstruct 3D images from 2D images of a “slice” or section of abdomen which will be resulting …

Emergency Department Systems Engineering: Modelling And Event Simulation, O Alharethi Salman Zayed

Student Works (2020-2029)

Emergency department systems are meant to ensure the timely delivery for essential healthcare services through complex systems. (ED) offers various services and have several components in its parts. Examined long previous research on system engineering and quality of healthcare resulting on these are influenced by operational management. Real time data are very helpful for decision making for any systems. Patient output feedback and satisfaction can be ensured with engineered management. EDs have become evident particularly in current scenario when the world is in the grip of the deadly COVID-19. All this implies that analysis is significant for improvement of services …

Learning Transferrable Parameters For Long-Tailed Sequential User Behavior Modeling, Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Sequential user behavior modeling plays a crucial role in online user-oriented services, such as product purchasing, news feed consumption, and online advertising. The performance of sequential modeling heavily depends on the scale and quality of historical behaviors. However, the number of user behaviors inherently follows a long-tailed distribution, which has been seldom explored. In this work, we argue that focusing on tail users could bring more benefits and address the long tails issue by learning transferrable parameters from both optimization and feature perspectives. Specifically, we propose a gradient alignment optimizer and adopt an adversarial training scheme to facilitate knowledge transfer …

Cooperative Target Tracking In Balanced Circular And Elliptical Formations, Lili Ma, Naira Hovakimyan

Publications and Research

This paper extends our earlier results on cooperative target tracking in cyclic pursuit using a group of mobile robots by further prescribing the formation radius and achieving an elliptical formation pattern. Prescribing the formation radius of a balanced circular formation is achieved by adjusting a parameter in the existing control input to each robot. The new elliptical formation pattern is obtained via a transformation matrix. Both single-integrator and double-integrator robot models are considered. The effectiveness of the proposed schemes is demonstrated by simulation examples.

The Role Of Information And Communication Technology (Ict) In Securing Books In Irish Academic Libraries., Emmanuel Oguche

Library Philosophy and Practice (e-journal)

This study examined how effective the ICT gadgets are used in securing books in academic libraries and what technological approach the libraries will adopt in the future to ensure books are secured from mutilation and theft. The study was also to understand why students steal or mutilate books. A semi-structured interview was the qualitative research design used to collect data from six librarians. It was discovered that the libraries had adopted the use of ICT security gadgets like Radio-Frequency Identification (RFID) technology, surveillance cameras, self-service machine, magnetic strips. The combined use of these gadgets led to the drastic reduction of …

Traffic Privacy Study On Internet Of Things – Smart Home Applications, Ayan Patel

Master's Theses

Internet of Things (IoT) devices have been widely adopted in many different applications in recent years, such as smart home applications. An adversary can capture the network traffic of IoT devices and analyze it to reveal user activities even if the traffic is encrypted. Therefore, traffic privacy is a major concern, especially in smart home applications. Traffic shaping can be used to obfuscate the traffic so that no meaningful predictions can be drawn through traffic analysis. Current traffic shaping methods have many tunable variables that are difficult to optimize to balance bandwidth overheads and latencies. In this thesis, we study …