Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 7531 - 7560 of 25611

Full-Text Articles in Computer Engineering

Modeling And Simulation Of Urination Assist System Driven By Ultrasonic-Vaporized Steam, Li Xiao, Huaizhou Zhou, Zhichao Shi, Ting Guan, Yuansong Xiao Sep 2020

Modeling And Simulation Of Urination Assist System Driven By Ultrasonic-Vaporized Steam, Li Xiao, Huaizhou Zhou, Zhichao Shi, Ting Guan, Yuansong Xiao

Journal of System Simulation

Abstract: Aiming at the problem of assisting the neurogenic bladder micturating, a novel urination assist system driven by ultrasonic-vaporized steam was proposed. The mathematical model of the multi-field coupling relation between the external ultrasonic controlling parameters and the urine flow rate of urinary bladder was built using ultrasonics, thermodynamics and fluid mechanics theories. The simulation analysis of the influence of the controlling parameters on the urine flow rate performance of the system was conducted. The results show that the urine flow rate are mainly affected by the ultrasonic sound intensity, frequency, radiation area and time, as well as the system …

Go to article

Gpu-Accelerated Simulation For Class Of Multi-Agent Based Models, Zhao Yuan, Jiachang Cheng, Wang Lu, Yueming Hu Sep 2020

Gpu-Accelerated Simulation For Class Of Multi-Agent Based Models, Zhao Yuan, Jiachang Cheng, Wang Lu, Yueming Hu

Journal of System Simulation

Abstract: A parallel agent-based model of Von Thünen Model was proposed driven by graphics processing units (GPUs). The Von Thünen Model often involved the simulation of large numbers of geographically located individual decision-makers and a massive number of individual-level interactions. This simulation required substantial computational power. GPU-enabled computing resources provided a massively parallel processing platform based on a fine-grained shared memory paradigm. This massively parallel processing platform held considerable promise for meeting the computing requirement of agent-based models of spatial problems. A dynamic relationship table rebuilding method was proposed to enable the use of GPUs for parallel agent-based modeling of …

Go to article

Non-Uniform Axial Force Precise Modeling And Simulation Of Recycled Aggregate Concrete Confined By Steel Tube Column, Wenxian Feng, Yunchao Tang, Zhang Ye, Cai Yang, Dingjing Bao, Jinmu Hu Sep 2020

Non-Uniform Axial Force Precise Modeling And Simulation Of Recycled Aggregate Concrete Confined By Steel Tube Column, Wenxian Feng, Yunchao Tang, Zhang Ye, Cai Yang, Dingjing Bao, Jinmu Hu

Journal of System Simulation

Abstract: According to the complexity of non-uniform axial force on recycled aggregate concrete confined by steel tube column, precise modeling and simulation on non-uniform axial force were put forward, mechanic properties of axial force under uniform and non-uniform conditions were analyzed, and its three-dimensional model and force model were established. Then impact of load capacity was analyzed, such as geometric diameter, loading condition, and deformation during production. Force simulation and experimental results fit relatively well. It turned out that uniform axial load capacity was greater than concentrated eccentric axial load capacity. Besides, eccentric axial load capacity was related to eccentricity. …

Go to article

Simulation Of Grid-Connected Solar Micro-Inverter Based On Fuzzy Pi Controller And Feed-Forward Compensation, Weiliang Liu, Changliang Liu, Huichao Zhang, Yongjun Lin, Liangyu Ma Sep 2020

Simulation Of Grid-Connected Solar Micro-Inverter Based On Fuzzy Pi Controller And Feed-Forward Compensation, Weiliang Liu, Changliang Liu, Huichao Zhang, Yongjun Lin, Liangyu Ma

Journal of System Simulation

Abstract: Grid-connected solar micro-inverter is a highly nonlinear and time-varying system, so it is difficult to achieve good control effect using traditional PI controller. Small signal analysis model of micro-inverter was established, grid-connected current control strategy composed of fuzzy PI controller and grid voltage feed-forward was put forward, and the initial parameters of PI controller was optimized using the genetic algorithm. Simulation results show that the control strategy has the virtues of good robustness, small dynamic deviation, and could reduce the harmonic content of grid-connected current.

Go to article

Evaluating The Potential Of Drone Swarms In Nonverbal Hri Communication, Kasper Grispino, Damian Lyons, Truong-Huy Nguyen Sep 2020

Evaluating The Potential Of Drone Swarms In Nonverbal Hri Communication, Kasper Grispino, Damian Lyons, Truong-Huy Nguyen

Faculty Publications

Human-to-human communications are enriched with affects and emotions, conveyed, and perceived through both verbal and nonverbal communication. It is our thesis that drone swarms can be used to communicate information enriched with effects via nonverbal channels: guiding, generally interacting with, or warning a human audience via their pattern of motions or behavior. And furthermore that this approach has unique advantages such as flexibility and mobility over other forms of user interface. In this paper, we present a user study to understand how human participants perceived and interpreted swarm behaviors of micro-drone Crazyflie quadcopters flying three different flight formations to bridge …

Go to article

Stacked Convolutional Recurrent Auto-Encoder For Noise Reduction In Eeg, Eoghan Keegan Sep 2020

Stacked Convolutional Recurrent Auto-Encoder For Noise Reduction In Eeg, Eoghan Keegan

Dissertations

Electroencephalogram (EEG) can be used to record electrical potentials in the brain by attaching electrodes to the scalp. However, these low amplitude recordings are susceptible to noise which originates from several sources including ocular, pulse and muscle artefacts. Their presence has a severe impact on analysis and diagnoses of brain abnormalities. This research assessed the effectiveness of a stacked convolutional-recurrent auto-encoder (CR-AE) for noise reduction of EEG signal. Performance was evaluated using the signal-to-noise ratio (SNR) and peak signal-to-noise ratio (PSNR) in comparison to principal component analysis (PCA), independent component analysis (ICA) and a simple auto-encoder (AE). The Harrell-Davis quantile …

Go to article

Research On Parallel Simulation Of Hypersonic Vehicles, Xuegong Sun, Chunye Gong Sep 2020

Research On Parallel Simulation Of Hypersonic Vehicles, Xuegong Sun, Chunye Gong

Journal of System Simulation

Abstract: The system simulation of hypersonic vehicles was a multi-physics coupling process. It needed many iterations with large scale data to finish the simulation. To fix up the computational challenges, the distributed simulation was developed. But distributed simulation had no obvious effect on the computational efficiency. In order to enhance the computational efficiency, the grid parallel method and model parallel algorithm were studied based on the high performance cluster system. The parallel simulation method for fluid dynamics, data exchange method for partition boundary and load balance technology for parallel computing were developed and applied to the system simulation of hypersonic …

Go to article

Fault Diagnosis Of Reverse Osmosis Water Desalination Based On Optimized Support Vector Machine, Zhang Biao, Jianfeng Xing, Zhicheng Ji Sep 2020

Fault Diagnosis Of Reverse Osmosis Water Desalination Based On Optimized Support Vector Machine, Zhang Biao, Jianfeng Xing, Zhicheng Ji

Journal of System Simulation

Abstract: According to the reverse osmosis membrane fault problems in reverse osmosis water desalination system, a fault diagnosis method based on support vector machine (SVM) was introduced for fault diagnoses. To solve the problem of parameter optimization in SVM, an improved chaos particle swarm algorithm was proposed. The introduction of Chaos theory to particle swarm optimization algorithm may not only enhance the diversity of the population and particle global search ability, but also improve the convergence speed and accuracy of the particle swarm algorithm. The optimized SVM model was applied to the fault diagnosis of reverse osmosis water desalination system. …

Go to article

Launch Dynamic Characteristics Simulation Analysis Of Vehicular Gatling Gun In Different Road Surface, Junnuo Zhang, Ruilin Wang, Li Tao, Binbin Hua Sep 2020

Launch Dynamic Characteristics Simulation Analysis Of Vehicular Gatling Gun In Different Road Surface, Junnuo Zhang, Ruilin Wang, Li Tao, Binbin Hua

Journal of System Simulation

Abstract: To study the influence of firing accuracy on a certain vehicular Gatling gun in different road surface, a rigid-flexible coupling multi-body dynamic simulation model was established based on virtual prototyping technology. Considering the interaction relations between the tires and road surface, vehicle and machine gun, the vehicle vibration characteristics and the muzzle response characteristics and vertical-target dispersion were obtained by analyzing the machine gun system in different road surface. The influence of road surface on fire accuracy was demonstrated by contrasting and analyzing the simulation curves. The study results have provided a theoretical support and direction …

Go to article

Research Of Marshalling Yard Dispersion Based On Simulation In Container Terminal, Yu Hang, Le Meilong Sep 2020

Research Of Marshalling Yard Dispersion Based On Simulation In Container Terminal, Yu Hang, Le Meilong

Journal of System Simulation

Abstract: As development of the precision management in the container terminal, close attention was paid to the research on the optimization of the marshalling yard template. The new concept called the yard dispersion in the container yard template was proposed and the professional simulation software Flexsim-CT was used to build a container handling simulation model which includes berth, quay crane, yard scheduling, yard crane, and trucks. The impact of the different yard dispersion on the total handling time and the efficiency of the quay crane under varying service burden was analyzed. The case study combines the simulation model with …

Go to article

Research On Modelica-Based Training Simulation System Of Tamper Operations, Xiaobo Peng, Cheng Tao, Feng Ping, Jianming Du Sep 2020

Research On Modelica-Based Training Simulation System Of Tamper Operations, Xiaobo Peng, Cheng Tao, Feng Ping, Jianming Du

Journal of System Simulation

Abstract: Tamping operations are trivial and must comply with operation specifications, which requires the training simulation system of tamper operations (TSSTO) have ability to manage its operation process. For this requirement, a TSSTO based on Modelica was developed. The multi-domain physical model of the tamper system, which is responsible for the simulation calculation of the system, was constructed by Modelica. The status model, which manages the operation process, was configured according to operation specifications. The interactive simulation was accomplished through a pipe that operations drive the status model then the status model drives the physical model. The algorithm of interactive …

Go to article

Behavior Recognition Combining Regional Optical Flow Features And Temporal Templates, Manyi Wang, Yaling Song, Li Yu, Zhang Liang Sep 2020

Behavior Recognition Combining Regional Optical Flow Features And Temporal Templates, Manyi Wang, Yaling Song, Li Yu, Zhang Liang

Journal of System Simulation

Abstract: A method was proposed to recognize human behavior, which combined the wavelet moments of temporal templates and the speed feature by optical flow. The wavelet moments are not only rotation, translation and scale invariance, but also have the multi-scale characteristics of wavelet. The shape feature of the motion history image and motion energy image can be described. To simple motions, it's effectively, but it can't present the speed information. Regional optical flow was calculated to describe the direction and amplitude features of motion by Lucas-Kanade algorithm. It could make up shortcomings of wavelet moment without speed information. Being …

Go to article

Research Method For Integrating Subjective And Objective Information In Evaluating Quality Level Of Journals, Zhang Quan, Wen Xin, Liping Yu, Jia Wei Sep 2020

Research Method For Integrating Subjective And Objective Information In Evaluating Quality Level Of Journals, Zhang Quan, Wen Xin, Liping Yu, Jia Wei

Journal of System Simulation

Abstract: The evaluation of the quality level of academic journals was investigated. In order to overcome the drawbacks of current methods which made uses of only the subjective evaluation information or the objective information on the journals, a comprehensive evaluation method was proposed for integrating both the decision makers' subjective information and the objective information. The decision makers' subjective evaluation information was expressed in some grade, grade interval, or a fuzzy set over a grade evaluation set. The objective information of journals was reflected by the numerical attributes, such as, the total citation frequency, impact factor and immediacy …

Go to article

Research Of Noise Mitigation Method Based On Dspwvd-Tfpf In Communication System, Lingdong Su, Mingyue Zhai Sep 2020

Research Of Noise Mitigation Method Based On Dspwvd-Tfpf In Communication System, Lingdong Su, Mingyue Zhai

Journal of System Simulation

Abstract: In the case of low SNR, the quality of the communication system will be decreased and the traditional TFPF on time-frequency clustering and noise suppression will descend. In order to overcome these, a new family of TF distribution, namely, the joint directionally smoothing Wigner-Ville distribution was presented to achieve instantaneous frequency estimation. This new TF distributions is based on the definition of the directionally smoothed pseudo Wigner-Ville distribution (DSPWVD) and point wise adaptive weight averaging of a bank of DSPWVD with different directions. The simulation shows that at low SNR, compared to traditional TFPF, DSPWVD-TFPF algorithm can better …

Go to article

Large Eddy Simulation Of Effect Of Geometric Parameters On Low Pressure Of Turbulent Flow Over Gate Slot, Shihua He, Lixiang Zhang Sep 2020

Large Eddy Simulation Of Effect Of Geometric Parameters On Low Pressure Of Turbulent Flow Over Gate Slot, Shihua He, Lixiang Zhang

Journal of System Simulation

Abstract: The turbulent flow over the hydraulic plane gate slot was studied using large eddy simulation method. The effects of geometric parameters including width-to-depth ratio, stagger ratio, slope ratio and fillet ratio on hydraulic characteristics within and near the gate slot were simulated systematically. According to the vulnerable cavitation locations of the flow over the slot, the pressure distributions in swirl area and the separation zone at the rear of downstream corner of the slot were investigated emphatically. The results show that the effects of width-to-depth ratios and stagger ratios on the pressure distribution of the flow are significantly. …

Go to article

Sharing And Organizing Research Products As R Packages, Matti Vuorre, Matthew J. C. Crump Sep 2020

Sharing And Organizing Research Products As R Packages, Matti Vuorre, Matthew J. C. Crump

Publications and Research

A consensus on the importance of open data and reproducible code is emerging. How should data and code be shared to maximize the key desiderata of reproducibility, permanence, and accessibility? Research assets should be stored persistently in formats that are not software restrictive, and documented so that others can reproduce and extend the required computations. The sharing method should be easy to adopt by already busy researchers. We suggest the R package standard as a solution for creating, curating, and communicating research assets. The R package standard, with extensions discussed herein, provides a format for assets and metadata that satisfies …

Go to article

Efficient Fine-Grained Data Sharing Mechanism For Electronic Medical Record Systems With Mobile Devices, Hui Ma, Rui Zhang, Guomin Yang, Zishuai Zong, Kai He, Yuting Xiao Sep 2020

Efficient Fine-Grained Data Sharing Mechanism For Electronic Medical Record Systems With Mobile Devices, Hui Ma, Rui Zhang, Guomin Yang, Zishuai Zong, Kai He, Yuting Xiao

Research Collection School Of Computing and Information Systems

Sharing digital medical records on public cloud storage via mobile devices facilitates patients (doctors) to get (offer) medical treatment of high quality and efficiency. However, challenges such as data privacy protection, flexible data sharing, efficient authority delegation, computation efficiency optimization, are remaining toward achieving practical fine-grained access control in the Electronic Medical Record (EMR) system. In this work, we propose an innovative access control model and a fine-grained data sharing mechanism for EMR, which simultaneously achieves the above-mentioned features and is suitable for resource-constrained mobile devices. In the model, complex computation is outsourced to public cloud servers, leaving almost no …

Go to article

Temporal Heterogeneous Interaction Graph Embedding For Next-Item Recommendation, Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi Sep 2020

Temporal Heterogeneous Interaction Graph Embedding For Next-Item Recommendation, Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi

Research Collection School Of Computing and Information Systems

In the scenario of next-item recommendation, previous methods attempt to model user preferences by capturing the evolution of sequential interactions. However, their sequential expression is often limited, without modeling complex dynamics that short-term demands can often be influenced by long-term habits. Moreover, few of them take into account the heterogeneous types of interaction between users and items. In this paper, we model such complex data as a Temporal Heterogeneous Interaction Graph (THIG) and learn both user and item embeddings on THIGs to address next-item recommendation. The main challenges involve two aspects: the complex dynamics and rich heterogeneity of interactions. We …

Go to article

Direct Digital Synthesis: A Flexible Architecture For Advanced Signals Research For Future Satellite Navigation Payloads, Pranav R. Patel Sep 2020

Direct Digital Synthesis: A Flexible Architecture For Advanced Signals Research For Future Satellite Navigation Payloads, Pranav R. Patel

Theses and Dissertations

In legacy Global Positioning System (GPS) Satellite Navigation (SatNav) payloads, the architecture does not provide the flexibility to adapt to changing circumstances and environments. GPS SatNav payloads have largely remained unchanged since the system became fully operational in April 1995. Since then, the use of GPS has become ubiquitous in our day-to-day lives. GPS availability is now a basic assumption for distributed infrastructure; it has become inextricably tied to our national power grids, cellular networks, and global financial systems. Emerging advancements of easy to use radio technologies, such as software-defined radios (SDRs), have greatly lowered the difficulty of discovery and …

Go to article

Joint 1d And 2d Neural Networks For Automatic Modulation Recognition, Luis M. Rosario Morel Sep 2020

Joint 1d And 2d Neural Networks For Automatic Modulation Recognition, Luis M. Rosario Morel

Theses and Dissertations

The digital communication and radar community has recently manifested more interest in using data-driven approaches for tasks such as modulation recognition, channel estimation and distortion correction. In this research we seek to apply an object detector for parameter estimation to perform waveform separation in the time and frequency domain prior to classification. This enables the full automation of detecting and classifying simultaneously occurring waveforms. We leverage a lD ResNet implemented by O'Shea et al. in [1] and the YOLO v3 object detector designed by Redmon et al. in [2]. We conducted an in depth study of the performance of these …

Go to article

Detection Of Software Vulnerability Communication In Expert Social Media Channels: A Data-Driven Approach, Andrei Lima Queiroz Sep 2020

Detection Of Software Vulnerability Communication In Expert Social Media Channels: A Data-Driven Approach, Andrei Lima Queiroz

Doctoral

Conceptually, a vulnerability is: "A flaw or weakness in a system’s design, implementation,or operation and management that could be exploited to violate the system’s security policy".Some of these flaws can go undetected and exploited for long periods of time after soft-ware release. Although some software providers are making efforts to avoid this situ-ation, inevitability, users are still exposed to vulnerabilities that allow criminal hackersto take advantage. These vulnerabilities are constantly discussed in specialised forumson social media. Therefore, from a cyber security standpoint, the information found inthese places can be used for countermeasures actions against malicious exploitation ofsoftware. However, manual inspection …

Go to article

Discover Influential Mental Workload Attributes Impacting Learners Performance In Third-Level Education, Amisha Mehta Sep 2020

Discover Influential Mental Workload Attributes Impacting Learners Performance In Third-Level Education, Amisha Mehta

Dissertations

Human Mental Workload is an intervening variable and a fundamental concept in the discipline of Ergonomics. It is deduced from variations in performance. High or low mental workload leads to hampering of performance. Mental workload in an educational setting has been extensively researched. It is applied in instructional design but it is obscure as to which factors are majorly driving mental workload in learners. This dissertation investigates the importance of the features used in the the NASA-Task Load Index mental workload assessment instrument and their impact on the performance of learners as assessed by multiple-choice tests conducted in classrooms of …

Go to article

Large Signal Modeling For Llc Resonant Converter, Zheng Kai, Jianbing Li, Zhou Dongfang, Li Kai, Songzhen Zhang Sep 2020

Large Signal Modeling For Llc Resonant Converter, Zheng Kai, Jianbing Li, Zhou Dongfang, Li Kai, Songzhen Zhang

Journal of System Simulation

Abstract: The large-signal model modeling issue of LLC resonant converter was dealt with by using averaged large-signal modeling method, on the basis of a full-bridge LLC voltage-multiplying resonant converter. The SSOC (self-sustained oscillation controller) was analyzed, and the operation mode of LLC resonant converter under the SSOC mode was investigated. The nonlinear state space model of LLC resonant converter was established by analyzing linear approximation of nonlinear terms and harmonic balance, and the averaged large-signal model of LLC resonant converter was proposed. Two curves of large signal model and nonlinear state space model were proved to be identical …

Go to article

Low Complexity Method Based On Fc-Ce-Slm For Papr Reduction In Ofdm System, Ce Ji, Lijuan Wang Sep 2020

Low Complexity Method Based On Fc-Ce-Slm For Papr Reduction In Ofdm System, Ce Ji, Lijuan Wang

Journal of System Simulation

Abstract: Selected mapping (SLM) algorithm uses Cross Entropy (CE) algorithm to get the most optimal sign sequence so that SLM can make the effect of PAPR Reduction achieve optimum. However, it needs too many times iterative computations, so it will increase the complexity of the algorithm. In order to solve this problem, a fast convergence factor in the CE-SLM algorithm was introduced to make the sampling probability converge to 0 or 1 quickly in the system, which reduced the iterative times of getting the optimal sign sequence. Computer simulation results show that the approved algorithm reduces the iterative times of …

Go to article

Simulation Research On Influence Of Blood Flow On Heating During Hifu Treatment, Suqin Dai, Shengyou Qian, Yaosheng Gui, Xiao Sheng Sep 2020

Simulation Research On Influence Of Blood Flow On Heating During Hifu Treatment, Suqin Dai, Shengyou Qian, Yaosheng Gui, Xiao Sheng

Journal of System Simulation

Abstract: When blood vessel exists in the tumor tissue, and its boundary portion close to the vessel will be strongly influenced by the cooling effect of the blood vessel. This influence will lead to the incomplete cancer treatment. To study the influence of blood flow on heating towards the above situation, concave spherical transducer was used as the heat source, and sound intensity distribution was obtained by Rayleigh integral. Pennes equation was solved with finite difference method, then the dose distribution was calculated to determine the thermal damage degree of tissue using quantitative relationship between the heating time and temperature. …

Go to article

Digital Water Depth Processing For Multibeam Based On Average Slope Of Terrain, Jiacheng Yu, Xueqiang Xu Sep 2020

Digital Water Depth Processing For Multibeam Based On Average Slope Of Terrain, Jiacheng Yu, Xueqiang Xu

Journal of System Simulation

Abstract: According to the characteristic of multibeam bathymetry in which measurement depth is influenced by terrain, revision algorithm was proposed based on average slope along the horizontal and vertical terrain. Five depth revision factors were obtained, and a depth smooth template was designed. The initial scan depth data were revised by the 5 revision factors, and then the revised depth data were filtered by the template. Simulation results show that, the depth of measurement error can be reduced greatly after revision, the designed template relative to the conventional Gauss template has higher smooth precision, more adapted to the water …

Go to article

Simulation Research On Airborne Lidar Bathymetry System, Chengqun Fu, Xiuyuan Lü, Wang Yong, Huaixiao Wang Sep 2020

Simulation Research On Airborne Lidar Bathymetry System, Chengqun Fu, Xiuyuan Lü, Wang Yong, Huaixiao Wang

Journal of System Simulation

Abstract: The simulations were performed to study the Airborne Lidar Bathymetry System by application of Monte Carlo model and Phenomenological model to describe the transmission of Gauss laser beam in ocean water. Research on the relation between seawater dielectric attenuation coefficient and maximum detecting depth was conducted. The change of facular size with detecting depth was explored. Simulation results show that two models are appropriate for different instance. Part of the Airborne Lidar's parameters was analyzed by the two models. According to simulation results, the Airborne Lidar scheme is demonstrated to be feasible.

Go to article

Construction Of Virtual Atmospheric Environment Based On Mm5 And Sedris, Lianlei Lin, Ding Wei Sep 2020

Construction Of Virtual Atmospheric Environment Based On Mm5 And Sedris, Lianlei Lin, Ding Wei

Journal of System Simulation

Abstract: The new virtual test for virtual atmosphere environment puts forward higher requirements, such as providing complex atmospheric environment which includes a variety of atmospheric parameters and improving usability and reusability of atmospheric environment data. A method to construct virtual atmospheric environment based on MM5 and SEDRIS was proposed which met the above demands. The original data of complex atmospheric environment in any region and scale was generated by using MM5 model. According to the characteristics as well as the dynamic relationship between time and space of grid of atmospheric data, SEDRIS was selected to regulate appropriate DRM class, SRF …

Go to article

Study On Equipment Domain Ontology Construction For Integration Of Data Semantics, Li Kang, Xinming Li, Liu Dong Sep 2020

Study On Equipment Domain Ontology Construction For Integration Of Data Semantics, Li Kang, Xinming Li, Liu Dong

Journal of System Simulation

Abstract: Equipment domain ontology could accurately describe definition of concepts in the field and the relationships between the concepts, which is foundation and prerequisite in semantic integration of equipment data. With the analysis of the existing methods, a semi-automatic domain ontology construction method was proposed. The top-level domain ontology was built under the standard of authoritative documents in the equipment field. An initial partial ontology was generated from the equipment database by mapping. The ontology was standardized through mapping process. The results of the experiment show that this method can build equipment domain ontology which provides a unified global …

Go to article

Design Of Iaas Mode “Cloud Training” System, Zhijia Chen, Yuanchang Zhu, Yanqiang Di, Shaochong Feng Sep 2020

Design Of Iaas Mode “Cloud Training” System, Zhijia Chen, Yuanchang Zhu, Yanqiang Di, Shaochong Feng

Journal of System Simulation

Abstract: There are some problems in equipment web simulating training, including poor sense of reality, low efficiency of training and high difficulty of management. To solve those problems, Infrastructure as a Service mode “cloud training” was proposed. The architecture and operation flow were explained in detail and the key technologies of “cloud training” were focused on. By GPU virtualization technology, the problem of client 3D image processing capability was solved. According to the characters of simulation training, the user requirement model was established. Fuzzy algorithm was introduced to realize resource dynamic scheduling. To assure the stability and reliability, …

Go to article

First Prev Next Last