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Full-Text Articles in Computer Engineering

Research On Modeling And Analyzing Method Of Task-Oriented Network Information System Of Systems, Zhu Tao, Weitai Liang, Songhua Huang, Jieyong Zhang Apr 2020

Research On Modeling And Analyzing Method Of Task-Oriented Network Information System Of Systems, Zhu Tao, Weitai Liang, Songhua Huang, Jieyong Zhang

Journal of System Simulation

Abstract: As the catalyst and fusion agent of the system combat capability in the information age, the network information system of systems has been changing the form of information-based warfare and the mode of combat effectiveness generation. On the basis of studying the concept of the network information system of systems and introducing association mapping rules between tasks and systems, a new modeling and analyzing method of the network information system of systems with two dimensions and four networks, based on super-network and service-oriented characteristics, is proposed. The definitions of services information flow motif delay, the task execution accuracy …


Thinking On Digital Twin For Weapon System, Junhua Zhou, Junjie Xue, Heyu Li, Ji Hang, Tingyu Lin, Guoqiang Shi Apr 2020

Thinking On Digital Twin For Weapon System, Junhua Zhou, Junjie Xue, Heyu Li, Ji Hang, Tingyu Lin, Guoqiang Shi

Journal of System Simulation

Abstract: The main development process of the digital twin technology is reviewed and its necessity for the weapon system is put forward. The definition and composition of the digital twin for the weapon system is given and its application architecture and key technologies, such as the construction of the digital thread, bi-directional collaborative simulation and control, intelligent autonomous evolution, digital twin operation support based on the container-simulation-cloud, et al, are analyzed. The preliminary research and practice of some key technologies is expounded, and the future research directions are summarized and looked forward to.


Modeling And Propeller Location Optimization For Diving Propeller Vehicle, Jianjun Zhang, Yang Bing, Jinhui Wu, Yan Qiang Apr 2020

Modeling And Propeller Location Optimization For Diving Propeller Vehicle, Jianjun Zhang, Yang Bing, Jinhui Wu, Yan Qiang

Journal of System Simulation

Abstract: Focus on the rapid physical exertion and the poor flexibility of diving propeller vehicle, a wearable diving propeller equipped with buoyancy control devices is proposed, and the position of the propeller in the device is optimized. The human body structure is regarded as a rigid body to establish a spatial 6-degree-of-freedom motion equation, and its surrounding hydrodynamic performance is analyzed. The hydrodynamic parameters in the model are obtained based on the FLUENT. The propeller position optimization model based on the minimum external force of rectilinear diving and slewing motions is established. The optimization results demonstrate that the optimized …


Research On Image Description Method Based On Neural Network, Kong Rui, Xie Wei, Lei Tai Apr 2020

Research On Image Description Method Based On Neural Network, Kong Rui, Xie Wei, Lei Tai

Journal of System Simulation

Abstract: The automatic recognition and automatically describing image content is an important research direction to the artificial intelligence to connect the computer vision and the natural language processing. A method of describing the image content is proposed to generate the natural language by using the deep neural network model. The model consists of a convolutional neural network (CNN) and a recurrent neural network (RNN). The CNN is used to extract features of the input image to generate a fixed-length feature vector, which initializes the RNN to generate the sentences. Experimental results on the MSCOCO image description dataset show the syntactic …


Multi-Objective Dynamic Programming Algorithm Of Energy-Efficient Scheduling For Tow-Train, Xinyan Zhang, Yuqing Zhou Apr 2020

Multi-Objective Dynamic Programming Algorithm Of Energy-Efficient Scheduling For Tow-Train, Xinyan Zhang, Yuqing Zhou

Journal of System Simulation

Abstract: To balance the performance and energy consumption of the mixed-model assembly lines effectively, a multi-objective energy-saving scheduling method for the tow-train is proposed. The energy-saving objective is introduced into the traditional material handling scheduling model for the tow-train and a multi-objective mixed integer programming model is constructed with two objective functions of minimizing the maximum line-side inventory and the total energy consumption. A forwards multi-objective dynamic programming based on the time window and dominance rules is presented to obtain the Pareto solutions: the definition for new states is given to obtain the Markov property, the time window and dominance …


Design Of Space-Based Surveillance Distributed Simulation System For Space Targets, Zhang Yang, Qingbo Gan, Yuan Hong, Jiangliang Fu, Chengming Sun Apr 2020

Design Of Space-Based Surveillance Distributed Simulation System For Space Targets, Zhang Yang, Qingbo Gan, Yuan Hong, Jiangliang Fu, Chengming Sun

Journal of System Simulation

Abstract: Following the wide application of the HLA in the aerospace system simulation, the space-based surveillance distributed simulation system for the space targets based on the HLA is designed. In the infrastructure design level, the hierarchical structure including data layer, model layer and mission layer are designed. In the system design level, the simulation control members, space-based surveillance member, space target member, optical payload member, and visual simulation member are divided and confirmed. The orbit dynamics and maneuvering model, attitude dynamics and control model, payload pointing and optical imaging model are established. In system implement level, the …


One Design Mode Of Highly Configurable Modular Simulation System, Chunsheng Hu, Chengdong Xu, Penfei Zhang Apr 2020

One Design Mode Of Highly Configurable Modular Simulation System, Chunsheng Hu, Chengdong Xu, Penfei Zhang

Journal of System Simulation

Abstract: The computer simulation technology is an essential verification way to the design, construction and application optimization of the modern complex system. Following the continuous growing complexity of the system, the higher requirement on the configurability of the simulation system is needed to face the rapidly change. Based on the analysis on the configurability and some coupling factors with the adverse effect, a design mode of highly configurable and open and easy to expend modular simulation system is proposed. The results show that, despite the cost of some real-time performance, the design mode can realize the high configurability of the …


Modeling And Simulation Of Locating Water Resources For Forest Fire Extinguishing, Guoxiong Zhou, Li Tong, Aibin Chen, Mingfang He Apr 2020

Modeling And Simulation Of Locating Water Resources For Forest Fire Extinguishing, Guoxiong Zhou, Li Tong, Aibin Chen, Mingfang He

Journal of System Simulation

Abstract: At the time of the forest fire, the effective water resource position is a good assistance to the firefighters to put out the fire. Taking a state-owned tree-farm, Huangfeng Bridge as an example in You Xian, an approach is proposed to optimally locate and determine the water resources to extinguish the forest fires, which uses the barycenter of a Weighted Voronoi Diagram and is generated dynamically via Cellular Automata and locally optimized by Alternative Location and Allocation algorithm. In order to reduce the low ratio impact of the water resource to the high fire risk areas, a barycenter model …


Cost-Efficiency Analysis Of Weapon System Portfolios For Effect Based Operation, Zhong Lin, Mingan Tong, Zhang Jian, Jianhai Liang Apr 2020

Cost-Efficiency Analysis Of Weapon System Portfolios For Effect Based Operation, Zhong Lin, Mingan Tong, Zhang Jian, Jianhai Liang

Journal of System Simulation

Abstract: In considertion of the cost-efficiency analysis of weapon system mainly for the target based operation, the uncertainties about preferences and possible interactions of different weapon systems, a cost-efficiency analysis method weapon system portfolios for effect based operation is presented. The framework of weapon system assignment for effect based operation is presented, the Bayesian network is used to build up the connection between effects and targets, and the cost-efficiency analysis model based on robust portfolio optimization is carried out. In view of the combinatorial explosion, the approximation algorithm based on the Tchebycheff norm and the linear integer programming is proposed …


System Dynamics And Multi-Agent Simulation Research On Ground Combatpersonnel Attrition, Xiaoxiong Hao, Jianwei Ma, Zhaohui Huang, Yungui Wang Apr 2020

System Dynamics And Multi-Agent Simulation Research On Ground Combatpersonnel Attrition, Xiaoxiong Hao, Jianwei Ma, Zhaohui Huang, Yungui Wang

Journal of System Simulation

Abstract: In order to study the law of the combat personnel attrition and guide the military medical logistics support, the relevant researches are systematically sorted out and the key questions are clarified. Based on Lanchester equation theory, a system dynamics model of the combat attrition process is established, and the consistency between the model conclusion and the historical experience is analyzed. A multi-agent model of the combat attrition process is also constructed, and the advantages and disadvantages of the two models are analyzed. The main conclusion is that the theoretical model’s outcomes of combat attrition are relatively consistent with the …


Modeling Method Of Emergency Response Based On Internal And External Areas Of Disaster Zone, Liang Wei, Yanyan Huang, Jianyu Wang Apr 2020

Modeling Method Of Emergency Response Based On Internal And External Areas Of Disaster Zone, Liang Wei, Yanyan Huang, Jianyu Wang

Journal of System Simulation

Abstract: The insufficient ability of the rescuers and the insufficient self-rescue ability of the victims are the two main reasons of the low efficiency in some conventional event emergency. An emergency response model which combines the rescue ability and the self-rescue ability is presented. The division of the internal and the external system in the disaster field is defined, the basic structure of the model and the emergency response process characteristics are described. MAS (multi-agent system) is used to describe the law of the emergency behavior. The synergistic rescue effect is simulated through an imaginary case. The results show that …


Simplification And Compression Service Construction Of 3d Model For Complex Products, Junjie Xue, Guoqiang Shi, Junhua Zhou, Huiyang Qu, Tao Luan, Ruiying Pu Apr 2020

Simplification And Compression Service Construction Of 3d Model For Complex Products, Junjie Xue, Guoqiang Shi, Junhua Zhou, Huiyang Qu, Tao Luan, Ruiying Pu

Journal of System Simulation

Abstract: A simplification and compression (S&C) service construction method of the 3D model for the complex products is proposed. An improved method of the model data export and spatial index generation is adopted to preserve the assembly tree and label information of the model in the process of model S&C. An adaptive mesh simplification algorithm based on the mesh density is designed and implemented, and the meshes can be simplified adaptively on condition of satisfying the requirement of error for the geometric model. And a model data compression algorithm with the high compression ratio and efficiency is adopted to reduce …


Time Domain Vertical Dynamics Model Of Electric Vehicle Considering Electric Motor Vibration, Guoying Tian, Pengyi Deng, Shulei Sun, Yiqiang Peng, Haiying Lu Apr 2020

Time Domain Vertical Dynamics Model Of Electric Vehicle Considering Electric Motor Vibration, Guoying Tian, Pengyi Deng, Shulei Sun, Yiqiang Peng, Haiying Lu

Journal of System Simulation

Abstract: On the basis of considering the electric motor vibration, a time domain vertical dynamics model of the electric vehicle with 11 DOF is built, and the road roughness input model and the numerical method are given. Aiming at an electric passenger vehicle, the basic characteristics of the typical vehicle dynamics responses under the condition of the impulse and random road roughness inputs are calculated, the influence of the different mount stiffness, damping and motor mass on the motor and the vehicle vibration is analyzed under the condition of the impulse input. The results show that the proposed model is …


Trajectory Planning Of Wheeled Mobile Robot Based On Model Predictive Control, You Bo, Mingrui Wang, Li Zhi, Ding Liang Apr 2020

Trajectory Planning Of Wheeled Mobile Robot Based On Model Predictive Control, You Bo, Mingrui Wang, Li Zhi, Ding Liang

Journal of System Simulation

Abstract: Aiming at the underactuation of the Wheeled Mobile Robot (WMR) and considering the various limitations and constraints during the actual operation, a trajectory planning method based on the Model Predictive Control (MPC) is proposed.This method can deal with the kinematics constraints, physical constraints and obstacle avoidance constraints unifiedly and effectively. It can generate the feasible trajectories that conform to the characteristics of the car body model and satisfy the various constraints. It fully guarantees the feasibility, safety and efficiency of the autonomous driving of wheeled mobile robots. The simulation results fully verify the effectiveness of the proposed method.


Fault Diagnosis Method Of Vehicle Power Supply Based On Deep Learning And Sequential Test, Li Wei, Bingxiang Zhou, Dongnian Jiang Apr 2020

Fault Diagnosis Method Of Vehicle Power Supply Based On Deep Learning And Sequential Test, Li Wei, Bingxiang Zhou, Dongnian Jiang

Journal of System Simulation

Abstract: Focus on the health maintenance of vehicle power supply, a fault diagnosis method of vehicle power supply is proposed, which is based on the long and short time memory LSTM(Long Short Time Memory) network and the sequential probability ratio test SPRT(Sequential Probability Ratio Test). Based on the LSTM network, the multivariate time series model of vehicle power supply is established, and the SPRT method is used to perform the adaptive multi-sample fault diagnosis. The experiment on the vehicle power supply simulation system shows that the LSTM diagnosis model has stronger learning and mapping capabilities, and the fault diagnosis method …


Research On Flight Ground Service Time Prediction Based On Deep Neural Network, Zhiwei Xing, Li Biao, Zhu Hui, Luo Qian Apr 2020

Research On Flight Ground Service Time Prediction Based On Deep Neural Network, Zhiwei Xing, Li Biao, Zhu Hui, Luo Qian

Journal of System Simulation

Abstract: Flight ground service time prediction is one of the key issues in improving the airport operational efficiency and decision making capacity. Taking into account the complexity, particularity and uncertainty of the service process, a Gaussian probability model of flight ground service resource in place time is established, a flight ground service time prediction model based on the deep neural network is proposed. According to the regular changes of operational data, the model parameters are adjusted to reducet the generalization error caused by other factors. The research results show that the average absolute error of time prediction under single …


Unmanned Crane Dispatching System Based On Grid Method In Steel Works, Weigang Li, Wang Xiao, Yuntao Zhao, Zixiang Li Apr 2020

Unmanned Crane Dispatching System Based On Grid Method In Steel Works, Weigang Li, Wang Xiao, Yuntao Zhao, Zixiang Li

Journal of System Simulation

Abstract: A grid method is used to model a storeroom to solve the problem of the unmanned crane automatic scheduling of the iron and steel industry. An improved A* algorithm is proposed to make the path planning. Different moving costs are assigned for the different route sections in storeroom and the different moving modes of cranes, and the path with the minimum total cost which can avoid the slab obstacles alongside is calculated by the algorithm. A set of intelligent dispatching rules are designed to solve the inefficiency of the manual operation, which can effectively deal with the problems about …


Vehicle Coordination Strategy For Semi-Active Suspension Vehicles, Quanmin Guo, Haowen Zhang, Wang Yan Apr 2020

Vehicle Coordination Strategy For Semi-Active Suspension Vehicles, Quanmin Guo, Haowen Zhang, Wang Yan

Journal of System Simulation

Abstract: In order to realize the coordinated control of the vertical, pitch and roll vibration of vehicle, a coordinated control strategy of vehicle semi-active suspension is proposed. In the strategy, the fuzzy PID controllers estimate three adjustment forces according to the vibration state in vertical, pitch and roll directions. Through the designed force coordinator with the control parameters of the front and back axes and the steering control strategy, the expected adjustment forces are coordinated to the four magnetorheological dampers to output the adjustable damping forces and realize the coordinated control of the vehicle vibration in three directions. The experimental …


3d Tree Model Matching Based On Tree Shape Space, Liang Shuang, Zuoteng Zhu, Jinyuan Jia Apr 2020

3d Tree Model Matching Based On Tree Shape Space, Liang Shuang, Zuoteng Zhu, Jinyuan Jia

Journal of System Simulation

Abstract: The retrieval of the 3D tree models cannot get the higher accuracy, retrieving efficiency and descripting match. In order to solve the problems, a three-dimensional tree model matching method based on tree space is proposed. By constructing the tree space of the three-dimensional tree model dataset, the method computes the difference between the Euclidean distance and the geodesic distance in the tree space by means of spindle matching, contour matching, and branch matching, and gradually matches the corresponding model. The matching implementation results are displayed in the general model dataset and the self-designed model dataset respectively. …


Nonlinear Least Squares 3-D Geolocation Solutions Using Time Differences Of Arrival, Michael V. Bredemann Apr 2020

Nonlinear Least Squares 3-D Geolocation Solutions Using Time Differences Of Arrival, Michael V. Bredemann

Mathematics & Statistics ETDs

This thesis uses a geometric approach to derive and solve nonlinear least squares minimization problems to geolocate a signal source in three dimensions using time differences of arrival at multiple sensor locations. There is no restriction on the maximum number of sensors used. Residual errors reach the numerical limits of machine precision. Symmetric sensor orientations are found that prevent closed form solutions of source locations lying within the null space. Maximum uncertainties in relative sensor positions and time difference of arrivals, required to locate a source within a maximum specified error, are found from these results. Examples illustrate potential requirements …


Keyless Anti-Jamming Communication Via Randomized Dsss, Ahmad Alagil Apr 2020

Keyless Anti-Jamming Communication Via Randomized Dsss, Ahmad Alagil

USF Tampa Graduate Theses and Dissertations

Nowadays, wireless networking is ubiquitous. In wireless communication systems, multiple nodes exchange data during the transmission time. Due to the natural use of the communication channel, it is crucial to protect the physical layer to make wireless channels between nodes more reliable. Jamming attacks consider one of the most significant threats on wireless communication. Spread spectrum techniques have been widely used to mitigate the effects of the jammer. Traditional anti-jamming approaches like Frequency Hopping Spread Spectrum (FHSS) and Direct Sequence Spread Spectrum (DSSS) require a sender and a receiver to share a secret key prior to their communication. If this …


Lablineup: An Intuitive Web Application For Queueing Help Requests In Academic Labs, Graham Mcdonald Apr 2020

Lablineup: An Intuitive Web Application For Queueing Help Requests In Academic Labs, Graham Mcdonald

Senior Theses

LabLineup is a start-up project designed to address the needs of large, lab-based classes, where teaching assistants (TAs) struggle to assist students in the order in which they request help. LabLineup is a lightweight web application that allows TAs and professors to accept requests for help in order. LabLineup allows professors to view the requests for a lab and see frequently asked questions that can be addressed en masse rather than individually. LabLineup also allows students to provide TA feedback. LabLineup addresses issues arising from requesting help in large, lab-based classes in the most efficient manner possible.


An Anns Based Failure Detection Method For Onos Sdon Controller, Shideh Yavary Mehr Apr 2020

An Anns Based Failure Detection Method For Onos Sdon Controller, Shideh Yavary Mehr

School of Computing: Dissertations, Theses, and Student Research

Network reachability is an important factor of an optical telecommunication network. In a wavelength-division-muliplexing (WDM) optical network, any failure can cause a large amount of loss and disruptions in network. Failures can occur in network elements, link, and component inside a node or etc. Since major network disruptions can caused network performance degradations, it is necessary that operators have solutions to prevent such those failures. This work examines a prediction model in optical networks and propose a protection plan using a Machine Learning (ML) algorithm called Artificial Neural Networks (ANN) using Mininet emulator. ANN is one of the best method …


Deep Cellular Recurrent Neural Architecture For Efficient Multidimensional Time-Series Data Processing, Lasitha S. Vidyaratne Apr 2020

Deep Cellular Recurrent Neural Architecture For Efficient Multidimensional Time-Series Data Processing, Lasitha S. Vidyaratne

Electrical & Computer Engineering Theses & Dissertations

Efficient processing of time series data is a fundamental yet challenging problem in pattern recognition. Though recent developments in machine learning and deep learning have enabled remarkable improvements in processing large scale datasets in many application domains, most are designed and regulated to handle inputs that are static in time. Many real-world data, such as in biomedical, surveillance and security, financial, manufacturing and engineering applications, are rarely static in time, and demand models able to recognize patterns in both space and time. Current machine learning (ML) and deep learning (DL) models adapted for time series processing tend to grow in …


Attribute-Based Cloud Data Integrity Auditing For Secure Outsourced Storage, Yong Yu, Yannan Li, Bo Yang, Willy Susilo, Guomin Yang, Jian Bai Apr 2020

Attribute-Based Cloud Data Integrity Auditing For Secure Outsourced Storage, Yong Yu, Yannan Li, Bo Yang, Willy Susilo, Guomin Yang, Jian Bai

Research Collection School Of Computing and Information Systems

Outsourced storage such as cloud storage can significantly reduce the burden of data management of data owners. Despite of a long list of merits of cloud storage, it triggers many security risks at the same time. Data integrity, one of the most burning challenges in secure cloud storage, is a fundamental and pivotal element in outsourcing services. Outsourced data auditing protocols enable a verifier to efficiently check the integrity of the outsourced files without downloading the entire file from the cloud, which can dramatically reduce the communication overhead between the cloud server and the verifier. Existing protocols are mostly based …


Two Can Play That Game: An Adversarial Evaluation Of A Cyber-Alert Inspection System, Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam Apr 2020

Two Can Play That Game: An Adversarial Evaluation Of A Cyber-Alert Inspection System, Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam

Research Collection School Of Computing and Information Systems

Cyber-security is an important societal concern. Cyber-attacks have increased in numbers as well as in the extent of damage caused in every attack. Large organizations operate a Cyber Security Operation Center (CSOC), which forms the first line of cyber-defense. The inspection of cyber-alerts is a critical part of CSOC operations (defender or blue team). Recent work proposed a reinforcement learning (RL) based approach for the defender’s decision-making to prevent the cyber-alert queue length from growing large and overwhelming the defender. In this article, we perform a red team (adversarial) evaluation of this approach. With the recent attacks on learning-based decision-making …


Geopolitics And The Digital Domain: How Cyberspace Is Impacting International Security, Georgia Wood Apr 2020

Geopolitics And The Digital Domain: How Cyberspace Is Impacting International Security, Georgia Wood

Independent Study Project (ISP) Collection

The digital domain is the emerging environment for which the internet and data connectivity exists. This new domain is challenging the traditional place for geopolitics to exist, and creating new challenges to international relations. The use of cyberweapons through direct cyberattacks, such as the possibility of an attack on the U.S. power grid, or misinformation campaigns, such as the one launched by Russia against the 2016 U.S. Presidential election, can expand the international threat landscape. While these new threats increase, states are widely not prepared to address the new challenges in the digital domain. This paper will use three primary …


An Overlay Architecture For Pattern Matching, Rasha Elham Karakchi Apr 2020

An Overlay Architecture For Pattern Matching, Rasha Elham Karakchi

Theses and Dissertations

Deterministic and Non-deterministic Finite Automata (DFA and NFA) comprise the fundamental unit of work for many emerging big data applications, motivating recent efforts to develop Domain-Specific Architectures (DSAs) to exploit fine-grain parallelism available in automata workloads.

This dissertation presents NAPOLY (Non-Deterministic Automata Processor Over- LaY), an overlay architecture and associated software that attempt to maximally exploit on-chip memory parallelism for NFA evaluation. In order to avoid an upper bound in NFA size that commonly affects prior efforts, NAPOLY is optimized for runtime reconfiguration, allowing for full reconfiguration in 10s of microseconds. NAPOLY is also parameterizable, allowing for offline generation of …


A Machine Learning Based Approach To Accelerate Catalyst Discovery, Asif Jamil Chowdhury Apr 2020

A Machine Learning Based Approach To Accelerate Catalyst Discovery, Asif Jamil Chowdhury

Theses and Dissertations

Computational catalysis, in contrast to experimental catalysis, uses approximations such as density functional theory (DFT) to compute properties of reaction intermediates. But DFT calculations for a large number of surface species on variety of active site models are resource intensive. In this work, we are building a machine learning based predictive framework for adsorption energies of intermediate species, which can reduce the computational overhead significantly. Our work includes the study and development of appropriate machine learning models and effective fingerprints or descriptors to predict energies accurately for different scenarios. Furthermore, Bayesian inverse problem, that integrates experimental catalysis with its computational …


How To And How Much? Teaching Ethics In An Interaction Design Course, Bimlesh Wadhwa, Eng Lieh Ouh, Benjamin Gan Apr 2020

How To And How Much? Teaching Ethics In An Interaction Design Course, Bimlesh Wadhwa, Eng Lieh Ouh, Benjamin Gan

Research Collection School Of Computing and Information Systems

How much is sufficient and how should one teach ethics in an Interaction Design curriculum in undergraduate computing program has been a point of dilemma for many HCI educators. We conducted a preliminary study using a mixed method to gather perception on ethics in our interaction design courses at two of the leading Singapore Universities. We answer three research questions specific to an undergraduate HCI course: Is there a need for ethics? Is there sufficient ethics coverage? and how to teach ethics? We surveyed 140 students and interviewed six teachers in two Singapore Universities. Our findings suggest that 92% of …