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2021

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Articles 541 - 570 of 790

Full-Text Articles in Artificial Intelligence and Robotics

Spectral Tensor Train Parameterization Of Deep Learning Layers, A. Obukhov, M. Rakhuba, A. Liniger, Zhiwu Huang, S. Georgoulis, D. Dai, Van Gool L. Apr 2021

Spectral Tensor Train Parameterization Of Deep Learning Layers, A. Obukhov, M. Rakhuba, A. Liniger, Zhiwu Huang, S. Georgoulis, D. Dai, Van Gool L.

Research Collection School Of Computing and Information Systems

We study low-rank parameterizations of weight matrices with embedded spectral properties in the Deep Learning context. The low-rank property leads to parameter efficiency and permits taking computational shortcuts when computing mappings. Spectral properties are often subject to constraints in optimization problems, leading to better models and stability of optimization. We start by looking at the compact SVD parameterization of weight matrices and identifying redundancy sources in the parameterization. We further apply the Tensor Train (TT) decomposition to the compact SVD components, and propose a non-redundant differentiable parameterization of fixed TT-rank tensor manifolds, termed the Spectral Tensor Train Parameterization (STTP). We …

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Cybersecurity Risk Assessment Using Graph Theoretical Anomaly Detection And Machine Learning, Goksel Kucukkaya Apr 2021

Cybersecurity Risk Assessment Using Graph Theoretical Anomaly Detection And Machine Learning, Goksel Kucukkaya

Engineering Management & Systems Engineering Theses & Dissertations

The cyber domain is a great business enabler providing many types of enterprises new opportunities such as scaling up services, obtaining customer insights, identifying end-user profiles, sharing data, and expanding to new communities. However, the cyber domain also comes with its own set of risks. Cybersecurity risk assessment helps enterprises explore these new opportunities and, at the same time, proportionately manage the risks by establishing cyber situational awareness and identifying potential consequences. Anomaly detection is a mechanism to enable situational awareness in the cyber domain. However, anomaly detection also requires one of the most extensive sets of data and features …

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Feature Extraction And Design In Deep Learning Models, Daniel Perez Apr 2021

Feature Extraction And Design In Deep Learning Models, Daniel Perez

Computational Modeling & Simulation Engineering Theses & Dissertations

The selection and computation of meaningful features is critical for developing good deep learning methods. This dissertation demonstrates how focusing on this process can significantly improve the results of learning-based approaches. Specifically, this dissertation presents a series of different studies in which feature extraction and design was a significant factor for obtaining effective results. The first two studies are a content-based image retrieval system (CBIR) and a seagrass quantification study in which deep learning models were used to extract meaningful high-level features that significantly increased the performance of the approaches. Secondly, a method for change detection is proposed where the …

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Learning To Fuse Asymmetric Feature Maps In Siamese Trackers, Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen Mar 2021

Learning To Fuse Asymmetric Feature Maps In Siamese Trackers, Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen

Computer Vision Faculty Publications

Recently, Siamese-based trackers have achieved promising performance in visual tracking. Most recent Siamese-based trackers typically employ a depth-wise cross-correlation (DW-XCorr) to obtain multi-channel correlation information from the two feature maps (target and search region). However, DW-XCorr has several limitations within Siamese-based tracking: it can easily be fooled by distractors, has fewer activated channels and provides weak discrimination of object boundaries. Further, DW-XCorr is a handcrafted parameter-free module and cannot fully benefit from offline learning on large-scale data. We propose a learnable module, called the asymmetric convolution (ACM), which learns to better capture the semantic correlation information in offline training on …

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Deep Gaussian Processes For Few-Shot Segmentation, Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan Mar 2021

Deep Gaussian Processes For Few-Shot Segmentation, Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan

Computer Vision Faculty Publications

Few-shot segmentation is a challenging task, requiring the extraction of a generalizable representation from only a few annotated samples, in order to segment novel query images. A common approach is to model each class with a single prototype. While conceptually simple, these methods suffer when the target appearance distribution is multi-modal or not linearly separable in feature space. To tackle this issue, we propose a few-shot learner formulation based on Gaussian process (GP) regression. Through the expressivity of the GP, our approach is capable of modeling complex appearance distributions in the deep feature space. The GP provides a principled way …

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On Generating Transferable Targeted Perturbations, Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli Mar 2021

On Generating Transferable Targeted Perturbations, Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli

Computer Vision Faculty Publications

While the untargeted black-box transferability of adversarial perturbations has been extensively studied before, changing an unseen model's decisions to a specific 'targeted' class remains a challenging feat. In this paper, we propose a new generative approach for highly transferable targeted perturbations (TTP). We note that the existing methods are less suitable for this task due to their reliance on class-boundary information that changes from one model to another, thus reducing transferability. In contrast, our approach matches the perturbed image 'distribution' with that of the target class, leading to high targeted transferability rates. To this end, we propose a new objective …

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Orthogonal Projection Loss, Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, Fahad Shahbaz Khan Mar 2021

Orthogonal Projection Loss, Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, Fahad Shahbaz Khan

Computer Vision Faculty Publications

Deep neural networks have achieved remarkable performance on a range of classification tasks, with softmax cross-entropy (CE) loss emerging as the de-facto objective function. The CE loss encourages features of a class to have a higher projection score on the true class-vector compared to the negative classes. However, this is a relative constraint and does not explicitly force different class features to be well-separated. Motivated by the observation that ground-truth class representations in CE loss are orthogonal (one-hot encoded vectors), we develop a novel loss function termed 'Orthogonal Projection Loss' (OPL) which imposes orthogonality in the feature space. OPL augments …

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Survey On Quantum Circuit Compilation For Noisy Intermediate-Scale Quantum Computers: Artificial Intelligence To Heuristics, Janusz Kusyk, Samah Mohamed Saeed, Muharrem Umit Uyar Mar 2021

Survey On Quantum Circuit Compilation For Noisy Intermediate-Scale Quantum Computers: Artificial Intelligence To Heuristics, Janusz Kusyk, Samah Mohamed Saeed, Muharrem Umit Uyar

Publications and Research

Computationally expensive applications, including machine learning, chemical simulations, and financial modeling, are promising candidates for noisy intermediate scale quantum (NISQ) computers. In these problems, one important challenge is mapping a quantum circuit onto NISQ hardware while satisfying physical constraints of an underlying quantum architecture. Quantum circuit compilation (QCC) aims to generate feasible mappings such that a quantum circuit can be executed in a given hardware platform with acceptable confidence in outcomes. Physical constraints of a NISQ computer change frequently, requiring QCC process to be repeated often. When a circuit cannot directly be executed on a quantum hardware due to its …

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Frequency Coordinated Control Strategy Of Microgrid Based On Fuzzy Prediction, Kunping Zhang, Hao Lin Mar 2021

Frequency Coordinated Control Strategy Of Microgrid Based On Fuzzy Prediction, Kunping Zhang, Hao Lin

Journal of System Simulation

Abstract: Aiming at the problem of frequency fluctuation of wind power generation connected to microgrid, a frequency coordinated control strategy based on model predictive control (MPC) is proposed. In this strategy, the wind turbine and plug-in hybrid electric vehicle (PHEV) are included in the frequency control system. The pitch angle of the fan and the charge and discharge of PHEV are controlled to adjust the grid frequency and supplement the frequency modulation resources of microgrid. WTG pitch angle control system and PHEV power control system are modeled, and their control principles are described. In order to prevent excessive use of …

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Guaranteed Cost Preview And Repetitive Control For Uncertain Linear Discrete Time-Delay Systems, Yonghong Lan, Jinlin He Mar 2021

Guaranteed Cost Preview And Repetitive Control For Uncertain Linear Discrete Time-Delay Systems, Yonghong Lan, Jinlin He

Journal of System Simulation

Abstract: For a class of uncertain linear discrete time-delay systems, a design method for guaranteed cost preview and repetitive controller is proposed . By introducing a repetitive controller in the forward channel to improve the tracking accuracy of the system, L-order difference operators are used to construct an augmented error system that contains preview information but does not include time delay, and the design problem of guaranteed cost preview and repetitive controller is converted into an output feedback adjustment problem. Using the Lyapunov stability theory and the linear matrix inequality method, the sufficient conditions for guaranteeing the asymptotic stability of …

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Neural Network Optimized Sensorless Permanent Magnet Synchronous Motor Control System, Lixin Ma, Yongjie Zhu, Leyan Ji Mar 2021

Neural Network Optimized Sensorless Permanent Magnet Synchronous Motor Control System, Lixin Ma, Yongjie Zhu, Leyan Ji

Journal of System Simulation

Abstract: In order to solve the poor accuracy of the speed and rotor position of permanent magnet synchronous motor caused by sensor, a sensorless control system is proposed to calculate the speed and rotor position of PMSM with extended Kalman filtering algorithm. BP neural network algorithm is used to optimize the covariance matrix Q and R of EKF, which improves the accurate calculation values of rotational speed and rotor position. At the same time, the speed sliding mode controller combined with the current feed-forward decoupling unit are used to improve the stability of the whole control system. The simulation results …

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An Improved Social Force Model For Crowd Simulation, Changhua Li, Yang Jing, Zhijie Li Mar 2021

An Improved Social Force Model For Crowd Simulation, Changhua Li, Yang Jing, Zhijie Li

Journal of System Simulation

Abstract: In view of the traditional social force model, it is difficult to deal with the problems of single pedestrian trajectory and loose crowd in the process of crowd evacuation, and an improved social force model is proposed. Based on the original social force model, the movement trajectory of the person is changed by considering the choice of the movement direction The intensity of panic and attraction in the process of pedestrian evacuation is considered to reproduce the self-organizing behavior in the process of pedestrian evacuation, and the simulations are performed in individual and group mode. The authenticity of the …

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Research On The Method Of Operational Concept Description Based On Sysml, Siming Peng, Xiao Gang, Qingzhang Yu, Zeming Li Mar 2021

Research On The Method Of Operational Concept Description Based On Sysml, Siming Peng, Xiao Gang, Qingzhang Yu, Zeming Li

Journal of System Simulation

Abstract: For the convenience of understanding and communication between researchers among different domains, the standardized method for operational concept description is preferred. Hence, based on the principles of systems architecture, the System Model Language (SysML) is proposed for the visualized and standardized description of operational concept. The form of combination for Department of Defense Architecture Framework (DoDAF) and SysML during the description of operational concept is analyzed, and the multi-view point products are used to descript the operational background, capability requirement and systems architecture as well as the operational activity of operational concept. The "Distributed Lethality" is utilized as an …

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Simulation Platform For Source-Load Control Of Active Power Based On Modular Architecture, Hu Yang, Wenying Liu, Liping Zhu, Li Xiao, Weizhou Wang Mar 2021

Simulation Platform For Source-Load Control Of Active Power Based On Modular Architecture, Hu Yang, Wenying Liu, Liping Zhu, Li Xiao, Weizhou Wang

Journal of System Simulation

Abstract: The integrated proportion of wind power is increasing year by year, and the source-load coordinated control of active power can effectively improve the level of wind power consumption. In order to ensure the effective application of the strategy, a simulation platform based on modular architecture is developed for source-load control of active power, including SQL Server database, timing control module of data interaction, calculation module of source-load control strategy, and output display module. The simulation platform solves the automatic control of data interaction timing in the process of source-load control, and visualizes the effect of the source-load control, so …

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Path Designing Of Multi-Omnidirectional Wheel Collaborative Sorting Platform, Li Qi, Wang Wei Mar 2021

Path Designing Of Multi-Omnidirectional Wheel Collaborative Sorting Platform, Li Qi, Wang Wei

Journal of System Simulation

Abstract: Aiming at the problems of low efficiency, high labor cost and low flexibility of traditional logistics sorting system, an automatic logistics sorting system is designed. The improved A* algorithm and the artificial potential field method are used to realize the automatic path planning of the system by taking the transportation path as the research object. The A* algorithm is improved by adjusting the weights of actual cost and estimated cost, and the artificial potential field method is improved by adding virtual sub-target points and adjusting adaptive parameters, so as to complete the function of path planning of goods. Simulation …

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Performance Evaluation Method For Load Control System Considering “Two Detailed Rules”, Yinsong Wang, Wang Kai Mar 2021

Performance Evaluation Method For Load Control System Considering “Two Detailed Rules”, Yinsong Wang, Wang Kai

Journal of System Simulation

Abstract: With the promulgation of the "two detailed rules" of regional power grid,the requirements by power system thermal power units are more and more strict, and has greatly affected their economic development. In order to combine the performance evaluation theory of multivariable control system with the engineering practice, the covariance index of multivariable control system is improved, and the assessment method of AGC (Automatic Generation Control) is analyzed and summarized. The improved covariance index of load Control system and the economic index based on the "two detailed rules" are proposed, and the comprehensive evaluation of load Control system is made …

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Research On Indoor Emergency Evacuation Simulation Of Multi-Exit Based On Social Force Model, Haixiang Guo, Zeng Yang, Weiming Chen Mar 2021

Research On Indoor Emergency Evacuation Simulation Of Multi-Exit Based On Social Force Model, Haixiang Guo, Zeng Yang, Weiming Chen

Journal of System Simulation

Abstract: With the frequent occurrence of emergencies, how to evacuate dense pedestrians safely from indoor space with limited export is the key and difficult point of emergency evacuation research. Taking a university auditorium as an example to simulate through Anylogic, and the degree of consciousness is introduced to comprehensively reflect the safety education, safety training and familiarity of pedestrians and the expected speed of pedestrians in the primary social force model is improved. To solve the problem of uneven utilization of exports in multi-exit indoor, optimization plans including partition guidance and change the structure of exports are proposed. Simulation results …

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A Survey Of Edge Computing Resource Allocation And Task Scheduling Optimization, Wang Ling, Chuge Wu, Wenhui Fan Mar 2021

A Survey Of Edge Computing Resource Allocation And Task Scheduling Optimization, Wang Ling, Chuge Wu, Wenhui Fan

Journal of System Simulation

Abstract: With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as …

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Simulation Analysis Of Impact Of Complex Network On Herd Effect, Li Feng, Wei Ying Mar 2021

Simulation Analysis Of Impact Of Complex Network On Herd Effect, Li Feng, Wei Ying

Journal of System Simulation

Abstract: Herd behavior is valuable but complicated. The impact of different type complex network on herd effect is analyzed by multi-agent modeling and simulation. In the model, herd behavior of decision-maker is modeled based on the advanced evidences from empirical study. Through simulation, not only the conclusions drawn from traditional mathematical modeling are verified, but also the whole evolving process of herd effect is inspected and the evolving speed related features can be used to evaluate performances of herd effect. More important, simulation results show the network structure of different type complex networks is one of the key factors …

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Sar Image Target Recognition Based On Across Convolution Network Feature Fusion, Xinyang Feng, Shao Chao Mar 2021

Sar Image Target Recognition Based On Across Convolution Network Feature Fusion, Xinyang Feng, Shao Chao

Journal of System Simulation

Abstract: Convolutional neural networks have been widely used in the field of synthetic aperture radar image target recognition. Based on the LeNet-5 neural network model, a SAR image target recognition method are initialized across convolution network feature fusion is proposed. The LeNet-5 network parameters on the basis of MNIST handwritten data. The deep and shallow features of the SAR image are extracted, and the principal component analysis on the shallow features is performed to obtain key category information. Deep features and shallow features are fused and are classified and recognised by sent to collaborative representation. Experimental results show that …

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Regional Integrated Energy System Model Based On Seasonal Load Difference, Songzhi Zhang Mar 2021

Regional Integrated Energy System Model Based On Seasonal Load Difference, Songzhi Zhang

Journal of System Simulation

Abstract: In order to study the coupling of electricity, heat and natural gas in the integrated regional comprehensive energy system, proposes a general energy hub model considering the load difference between winter and summer is proposed. The establishes the coupling matrix under the model is established, combined with, and combines the steady-state calculation method of natural gas network and distribution network, and develops different operation modes are developed to restrain the fluctuation of distribution network voltage and natural gas network pressure. The simulation is carried out on MATLAB/Simulink platform. The results show that the proposed model and calculation …

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Comparative Study Of Energy Management Strategy Based On Value Loss Of Tram Hybrid Power System, Guo Ai, Chen Chao, Junjie Shi, Zhengjie Liu, Weirong Chen, Jiayi Liang, Liu Nan Mar 2021

Comparative Study Of Energy Management Strategy Based On Value Loss Of Tram Hybrid Power System, Guo Ai, Chen Chao, Junjie Shi, Zhengjie Liu, Weirong Chen, Jiayi Liang, Liu Nan

Journal of System Simulation

Abstract: In order to comprehensively evaluate the economy of fuel cell hybrid power system for tram and improve its durability, a value loss function based on the life of fuel cell and lithium battery in hybrid system is proposed. The demanded power in actual conditions is adopted and the value loss function is used to analyze the three energy policies including the state machine, power following, and minimum equivalent hydrogen consumption. The simulation results show that the value loss of state machine strategy is the smallest, and compared with power following and equivalent hydrogen consumption minimization strategies, this method …

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Technology Evolution Network Model And Simulation Based On Patent Citation Network, You Ge, Guo Hao, Liu Xiang Mar 2021

Technology Evolution Network Model And Simulation Based On Patent Citation Network, You Ge, Guo Hao, Liu Xiang

Journal of System Simulation

Abstract: On the basis of on the patent citation network and complex networks, a technology evolution network model is constrcucted, which revealed the topology structure, evolution rules and dynamics of the technology evolution network. By introducing time and fitness preferential attachments mechanism, the effect of time factor and selection law of “survival of the fittest” on evolution of network structure during the technology evolution is studied. The results showed that the technology evolution network had the characteristic of scale-free, which is the result of global selection of “survival of the fittest” in the process of technology accumulation; The effect of …

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Modeling And Simulation Technology Of Flight Maneuver For Large Scale Battlefield, Chu Yang, Liu Zhi, Lintao Dou Mar 2021

Modeling And Simulation Technology Of Flight Maneuver For Large Scale Battlefield, Chu Yang, Liu Zhi, Lintao Dou

Journal of System Simulation

Abstract: In order to meet the requirements of the system simulation acceleration ability of the intelligent countermeasure game system, analyzes the large-scale battlefield space large-scale air force simulation modeling method is analyzed. Combined with the requirements of the system countermeasure for the fidelity, real-time and accuracy of the air vehicle modeling, based on the original air vehicle motion model, by reducing variables, simplifying parameters, equivalent calculation and other methods, a fast flight maneuver simulation modeling method is derived, which can realize the correct modeling of the trajectory and attitude of the aircraft, conform to the general flight physical laws, meet …

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Simulation Of Benefit Distribution In Platform Delivery Mode, Zheng Wen, Chenxi Dou, Zhe Zhang Mar 2021

Simulation Of Benefit Distribution In Platform Delivery Mode, Zheng Wen, Chenxi Dou, Zhe Zhang

Journal of System Simulation

Abstract: Aiming at the benefit distribution relationship of platform delivery mode(PDM), the multi-agents-based model is applied to construct the benefit distribution of PDM. The Swarm simulation platform is used to explore the trading status changes of the participants under different scales; Considering the cost-profit condition, the sense of relative deprivation is introduced as the index to express the individual perception in exploring the emergency of the co-effective relationship of the individual perception and the benefit distribution in systematic and emergence points. The model and its results can reveal the benefit distribution states of the existing PDM structure and the collective …

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Improved Flower Pollination Algorithm Based Deployment Optimization Of Wireless Sensor Network, Zhendong Wang, Huamao Xie, Zhongdong Hu, Dahai Li, Junling Wang Mar 2021

Improved Flower Pollination Algorithm Based Deployment Optimization Of Wireless Sensor Network, Zhendong Wang, Huamao Xie, Zhongdong Hu, Dahai Li, Junling Wang

Journal of System Simulation

Abstract: To optimize the coverage problem of wireless sensor networks (WSNs) Heterogeneous nodes with obstacles in the monitoring area, based on the flower pollination algorithm (FPA), an improved flower pollination algorithm (IFPA) is proposed. IFPA is used to improve the shortcomings of the original algorithm with slow convergence speed and low precision. The nonlinear convergence factor is designed to constrain the original scaling factor, the Tent mapping is used to maintain the diversity of the population in the late iteration, and the greedy crossover strategy is used to assist the poor individuals to search with better individuals. The experiment of …

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Research On Agv Simulation System Based On Interactive Control, Juntao Xiong, Zhonghang Li, Guomao Lin, Shengwei Wu, Dongting Lin, Qiafeng Li, Wenchun Xiao Mar 2021

Research On Agv Simulation System Based On Interactive Control, Juntao Xiong, Zhonghang Li, Guomao Lin, Shengwei Wu, Dongting Lin, Qiafeng Li, Wenchun Xiao

Journal of System Simulation

Abstract: During the process of actual tasks, automated guided vehicle may have will meet some problems, such as incomplete real-time monitoring, off-track, etc. An AGV simulation system based on interactive control is designed. The visual system guides the operation of real AGV, and the simulation system establishes the virtual AGV motion model according to the driving rules of the real AGV. By obtaining and processing the driving data of the real AGV, the operation of the real AGV are simulated in real time .The algorithm of track correction detects the operation status and performs remote synchronous correction when the real …

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Network Traffic Anomaly Detection Method For Imbalanced Data, Shuqin Dong, Bin Zhang Mar 2021

Network Traffic Anomaly Detection Method For Imbalanced Data, Shuqin Dong, Bin Zhang

Journal of System Simulation

Abstract: Aiming at the poor detection performances caused by the low feature extraction accuracy of rare traffic attacks from scarce samples, a network traffic anomaly detection method for imbalanced data is proposed. A traffic anomaly detection model is designed, in which the traffic features in different feature spaces are learned by alternating activation functions, architectures, corrupted rates and dropout rates of stacked denoising autoencoder (SDA), and the low accuracy in extracting features of rare traffic attacks in a single space is solved. A batch normalization algorithm is designed, and the Adam algorithm is adopted to train parameters of …

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Study On Navigation Simulation Method Of Crude Oil Fleet In Bridge Area, Chunhui Zhou, Hongxun Huang, Wanxia Yi, Lijia Chen, Yuanqiao Wen, Linxu Tan Mar 2021

Study On Navigation Simulation Method Of Crude Oil Fleet In Bridge Area, Chunhui Zhou, Hongxun Huang, Wanxia Yi, Lijia Chen, Yuanqiao Wen, Linxu Tan

Journal of System Simulation

Abstract: In view of the safety of over-scale fleet sailing through bridge, the water area of Wuhan Yangtze River Bridge is taken as the research area. Numerical simulation of flow field is conducted based on MIKE software to analyze the changes of water flow in different water periods and their effects on ship navigation. On this basis, according to the simulation results of the flow field, several test conditions are set up by using the Large Ship Maneuvering Simulator to carry out the simulation test of over-scale fleet sailing through the bridge. The results show that under the preset wind …

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Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service, Ruiying Chen, Chengtao Wang, Zhenyuan Liu Mar 2021

Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service, Ruiying Chen, Chengtao Wang, Zhenyuan Liu

Journal of System Simulation

Abstract: Aiming at resolving the faults quickly and effectively with limited human resource,an IT maintenance service model with the consideration of service level is proposed, A knowledge model is proposed,a variety of mutation operators and crossover operators are designed. and the improved genetic algorithm (IGA), the intelligent genetic algorithm based on knowledge model (KIGA) and the adaptive intelligent genetic algorithm based on knowledge model (KAIGA) are formed. The results show that the adaptive mutation and crossover probability can accelerate the convergence speed of the solution, and the knowledge model can also improve the optimization effect of the solution

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