Numerical Analysis and Scientific Computing Commons^™

Dynamic Blind Source Separation Method Of Bearing Fault Diagnosis Based On Ga-Aw-Pso, Tianqi Zhang, Baoze Ma, Xingzi Qiang, Shengrong Quan

Journal of System Simulation

Abstract: The adaptive particle swarm optimization based on genetic mechanism (GA-AW-PSO) is proposed, aiming at blind source separation for dynamic hybrid bearing signals. The negentropy of separated signal is regarded as an objective function. The inertia weight is adjusted adaptively to reduce the invalid iterations according to the fitness difference. The introduction of genetic mechanism can increase diversity and is helpful for dynamic signal processing. The parameterized representation of orthogonal matrices can reduce the complexity of the algorithm. The simulation results show that the proposed method is superior to traditional blind source separation for the dynamic mechanical hybrid analog signal. …

Simulation Of Hot Event Propagation Based On Game Theory And Sirs, Dezhi Wei, Fuji Chen, Lina Lin

Journal of System Simulation

Abstract: The hot events of the internet public opinion spread fast and have great influence. It has become a topic of concern for netizens and governments. The spread of hot spots on the internet is similar to the dynamics of infectious diseases, so a traditional SIRS epidemic model based improved model is proposed, combining the analysis of the game theory. The evolutionary game model of infectious body and immune body is constructed, the equilibrium point of the game is found and the law of the spread of hot spots is obtained. The model is verified by experiment through the …

Physically-Based Dynamic Algorithms For Time-Varying Of Flowers And Leaves, Jiao Di, Yang Meng, Yang Gang

Journal of System Simulation

Abstract: This paper presents physically-based simulations of dynamic algorithms of the blossom and fading of flowers as well as the time-varying leaves following the seasons. The models of the flowers are constructed according to the previously collected primary biological data of organs of flowers. The dynamic simulation is presented by two phases: the process of blooming and the process of fading. To simulate the former, the curved surfaces of petals are controlled by controlling the points on the Bezier surface; for realizing the simulation of the latter, the physical method is used. The dynamic effects of colors of leaves according …

Vascular Image Enhancement Using Steerable Filters, Yiren Wang, Guoqing Deng, Yingwei Xia, Zhang Long, Liu Yong, Zhang Wen

Journal of System Simulation

Abstract: Based on the weakness of traditional image enhancement algorithms, an enhancement algorithm with steerable filter is put forward, which uses computer vision system as hardware platform. A steerable filter is applied for taking vein information in different directions. The wavelet transform is used to fuse image for high frequency information on vein. The nonlinear unsharp masking enhancement algorithm is used to escalate vein image. Experiment results show that the new algorithm can effectively suppress noise, reduce information loss and achieve better enhancement.

Key Technology Of Oil Spill Visualization At Sea Surface, Changjun Zou, Yin Yong, Xiuwen Liu, Feifei Wan

Journal of System Simulation

Abstract: An intensive study is made on the visualization method and oil equipment interaction. To solve the blind area problem and to realize the interactive of oil film, the following methods are proposed: new visualization method based on texture projection; modeling technique of oil boom based on mass-spring model; dynamic interaction method between oil boom and oil film texture based on polygon clipping. Real-time oil spill visualization at sea is implemented on GPU, the test results show the correctness and reliability of the methods.

Simulation And Optimization On Electrodynamic Repulsion Force Of Contact System In Circuit Breaker With Oil Dashpot, Yanhua Qiao, Xiuping Su, Tianying Dong

Journal of System Simulation

Abstract: A 3D finite element model for contact system of circuit breaker with oil dashpot is established. Two electrodynamic repulsion forces, the Holm force between contacts and the Lorentz force between the conductor arms, are analyzed. The current density distribution, magnetic intensity distribution and the forces of the contact and contact arm are obtained. Compared with the theoretical value, it shows that it is feasible to use this method to solve electrodynamic repulsion force. The main factors that influence the Holm force are analyzed. The simulation results show the changes of Holm force with different surface contact coefficient, contact pressure …

Parallel Design And Load Balance Of Openmp Based Warfighting Simulation, Wang Xiao, Yaqi Liu, Yuben Tao

Journal of System Simulation

Abstract: Parallel simulation is a main trend of large scale and high precision war fighting simulation (WS). However, currently there is no unified framework to design a parallel WS and no effective method to load balance of it. Based on the parallel agent theory, an OpenMP based parallel WS design framework (PWSF) is proposed. To solve the problem of the complex simulation load distribution resulted from the diversity of entities' models and the position independence of the interactions, a load balance method based on METIS multilevel graph partition tool is suggested. Based on the improved PHOLD test model, experiments on …

3d Visual Effects Assessment Based On Comprehensive Weight, Yanyang Zeng, Zhenjing Feng

Journal of System Simulation

Abstract: There are various indicators for assessing the 3D visual effects, while the general weight of each index needs pre-determined coefficients individually, for which either the expert knowledge model or theoretical model used has advantages and disadvantages empowerment. Based on expert knowledge and theoretical models, the comprehensive weight method, optimization model, and direct solution of the index weight vectors have subjective and objective information. Experimental results show that the method of determining the weight vector different sort results of the assessment is also slightly different. Integrated weighting method to determine the weight of each index and the corresponding results of …

Algorithm For Tracking Position And Orientation Of Drug Delivery Capsules In Gastrointestinal Tract, Xudong Guo, Zhengping Lu, Qinfen Jiang, Shuyi Wang, Haipo Cui

Journal of System Simulation

Abstract: To realize an accurate releasing by a drug-delivery capsule in the gastrointestinal tract, a method of magnetic vector detection with angle sensing has been presented to track the capsule in real time; and a prototype of the tracking system has been developed. Based on the fundamentals of spatial distribution of magnetic vector fields, a nonlinear model of tracking is established. An improved artificial bee colony algorithm is studied to solve the magnetic inverse problem. In the improved algorithm, a chaos operator is used to generate an initial population and a sort selection is used to prevent premature convergence. …

Train Energy Saving Operation Based On Simulated Annealing Algorithm, Liu Wei, Jiaxuan Xu, Peipei Wang, Ruilong Liu, Jingkun Tang

Journal of System Simulation

Abstract: For the timing and energy saving algorithm of urban railway, the train operation iterative process was analyzed by dividing the operation intervals to meet the requirements of the subway trains timing energy saving operation. The differentiation was adopted to establish the train operation iterative model, and as a result the timing energy saving problem was transformed into the solution of train output using coefficient sequence. An optimization solving method based on simulated annealing algorithm was proposed and the algorithm was implemented using MFC program. Three intervals of Shanghai Metro Line 3 were selected and the solution of the train …

Event-Triggered Non-Fragile H∞ State Estimation For Fuzzy Time-Delay Neural Networks, Yanqin Wang, Weijian Ren

Journal of System Simulation

Abstract: For a class of fuzzy neural networks with randomly occurring time-varying delays and randomly data packet loss, an event-triggered non-fragile H_∞ state estimator is designed. The event-triggered condition is introduced to determine whether the signal is transmitted or not, so as to reduce the occupation rate of network resource. Random variables of Gaussian distribution and the multiplicative gain uncertainties are adopted to construct the non-fragile state estimator with randomly occurring gain variations. By constructing Lyapunov function, and via stochastic computation and linear matrix inequality technique, the sufficient conditions for the existence of non-fragile estimators are obtained, which guarantee …

Svm Prediction Of Performance Degradation Of Rolling Bearings With Fusion Of Kpca And Information Granulation, Jiya Xu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To effectively predict the performance degradation index and its fluctuation ranges of the rolling bearing, a prediction method based on kernel principal component analysis algorithm and fuzzy information granulation using support vector machine is proposed. The kernel principal component analysis is utilized to preprocess the data to acquire the main feature vector, construct T² and SPE statistics, and to analyze its trend. The statistical information is used as the performance degradation index. Theory of fuzzy information granulation is used to granulate the performance degradation index and extract the useful information. The granulated data are put to the support …

Detail-Preserving Shape Deformation In Sph Fluid Control, Feng Gang, Shiguang Liu

Journal of System Simulation

Abstract: It remains a challenging problem to drive particles-based fluid simulation to match target shape and deform fluid shape between different models smoothly in fluid control, especially when the natural fluid motion should be preserved. To achieve the desired behavior, the models are divided into source objects and target objects, and the control particles are generated from them. According to a space point correspondence between source control particles and target control particles, the control particles' movements are calculated which drive fluid to match different models. The control energy from source control particles is transferred to target control particles so as …

Test Data Compression Scheme For Fast Search Best Rational Approximate Fraction, Haifeng Wu, Wenfa Zhan, Yifei Cheng

Journal of System Simulation

Abstract: Rapid growth of test data volume becomes a major factor for test time and manufacturing cost increasing. To reduce test data volume, a code-based compression scheme with fast search best rational approximate fraction is presented. The run-length data is converted into floating point numbers; and the equal best rational approximate fractions of floating point numbers is searched quickly; the appearing law of run-length data in the form of integer numerator and integer denominator is stored instead of storing run-length data directly. This scheme is compatible with traditional code-based methods. It also has simple compression and decompression protocol, good compression …

Performance Analysis And Research Of Shark Fin Structure Based On Simulation, Liu Shuang, Lü Chao, Rao Yong, Shiming Wang

Journal of System Simulation

Abstract: The shark fin, the pectoral fin and the dorsal fin were studied based on the numerical simulation method; the pressure field, velocity field and flow field of the specimen structure were analyzed with three different flow velocities; the analysis and comparison of the mechanical properties of caudal fin, dorsal fin and pectoral fin were presented. The results show that the setting width of the tail fin can be set to 0.5 ~ 4.8 meters so as to improve the anti-karman vortex effect; the width of the tail fins should be relatively narrow in order to guarantee the base of …

Effect Of Interfacial Curvature On Drag Reduction Of Superhydrophobic Microchannels, Chunxi Li, Zhang Shuo, Xuemin Ye

Journal of System Simulation

Abstract: The two-dimensional fluid flow in superhydrophobic microchannels with transverse grooves was numerically simulated with Fluent to investigate the impact of the liquid-gas interface curvature on the effective slip behavior in the laminar regime. The effects of shear-free fraction, normalized periodic cell length and Reynolds number on the normalized slip length and pressure drop reduction are also examined. The results show that as protrusion angle increases, the normalized slip length and pressure drop reduction exhibit with single-hump variations. When θ=θ_opt, increments in the normalized slip length and pressure drop reduction tend to be greater as shear-free …

Imu Single-Axis Rotation Method And Error Analysis Of Modulation Inertial Navigation System, Sun Wei, Ruibao Li, Zhang Yuan, Yang Dan

Journal of System Simulation

Abstract: Aiming at the problem that inertial device bias has an influence on the improvement of system precision, a single axis error modulation scheme whose sensitive axis is misalignment with rotation axis which can continuously rotate in clockwise and counterclockwise is proposed. Based on the same level precision of inertial components in IMU, the IMU is installed on rotation mechanism with non-coincidence. The symmetric part of inertial device deviation can be compensated by the positive and negative cancellation of the device deviation in the rotation axis direction and the rotation modulation in the vertical plane of the rotary axis. The …

Topographic Maps: Image Processing And Path-Finding, Calin Washington

Master's Theses

Topographic maps are an invaluable tool for planning routes through unfamiliar terrain. However, accurately planning routes on topographic maps is a time- consuming and error-prone task. One factor is the difficulty of interpreting the map itself, which requires prior knowledge and practice. Another factor is the difficulty of making choices between possible routes that have different trade-offs between length and the terrain they traverse.

To alleviate these difficulties, this thesis presents a system to automate the process of finding routes on scanned images of topographic maps. The system allows users to select any two points on a topographic map and …

Bird Abundance At Bird Feeders In Response To Temperature, Wind Speed And Precipitation During The Winter Season, Siddhant Kahal

Master's Theses

The goal of this project is to explore how 23 different bird species respond to 3 climatic attributes. These attributes are lower than average temperatures, wind speed and precipitation level. Information about the bird species and all of the data associated with them is provided by Project FeederWatch (PFW). This is a citizen based survey study that provides key information about bird species abundance through the use of backyard and community feeders. The study volunteers from across the United States and Canada monitor these bird feeders and note important information about the species such as the number of individuals seen. …

Disentangled Person Image Generation, Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz

Research Collection School Of Computing and Information Systems

Generating novel, yet realistic, images of persons is a challenging task due to the complex interplay between the different image factors, such as the foreground, background and pose information. In this work, we aim at generating such images based on a novel, two-stage reconstruction pipeline that learns a disentangled representation of the aforementioned image factors and generates novel person images at the same time. First, a multi-branched reconstruction network is proposed to disentangle and encode the three factors into embedding features, which are then combined to re-compose the input image itself. Second, three corresponding mapping functions are learned in an …

Natural And Effective Obfuscation By Head Inpainting, Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz

Research Collection School Of Computing and Information Systems

As more and more personal photos are shared online, being able to obfuscate identities in such photos is becoming a necessity for privacy protection. People have largely resorted to blacking out or blurring head regions, but they result in poor user experience while being surprisingly ineffective against state of the art person recognizers. In this work, we propose a novel head inpainting obfuscation technique. Generating a realistic head inpainting in social media photos is challenging because subjects appear in diverse activities and head orientations. We thus split the task into two sub-tasks: (1) facial landmark generation from image context (e.g. …

Social Stream Classification With Emerging New Labels, Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou

Research Collection School Of Computing and Information Systems

As an important research topic with well-recognized practical values, classification of social streams has been identified with increasing popularity with social data, such as the tweet stream generated by Twitter users in chronological order. A salient, and perhaps also the most interesting, feature of such user-generated content is its never-failing novelty, which, unfortunately, would challenge most traditional pre-trained classification models as they are built based on fixed label set and would therefore fail to identify new labels as they emerge. In this paper, we study the problem of classification of social streams with emerging new labels, and propose a novel …

Critical Parameters In A Computational Model Of Tgf-Beta-Induced Epithelial Mesenchymal Transition., Mario J. Mendez, Seth H. Weinberg

Biology and Medicine Through Mathematics Conference

No abstract provided.

Recta: Regulon Identification Based On Comparative Genomics And Transcriptomics Analysis, Xin Chen, Anjun Ma, Adam Mcdermaid, Hanyuan Zhang, Chao Liu, Huansheng Cao, Qin Ma

School of Computing: Faculty Publications

Regulons, which serve as co-regulated gene groups contributing to the transcriptional regulation of microbial genomes, have the potential to aid in understanding of underlying regulatory mechanisms. In this study, we designed a novel computational pipeline, regulon identification based on comparative genomics and transcriptomics analysis (RECTA), for regulon prediction related to the gene regulatory network under certain conditions. To demonstrate the effectiveness of this tool, we implemented RECTA on Lactococcus lactis MG1363 data to elucidate acid-response regulons. A total of 51 regulons were identified, 14 of which have computational-verified significance. Among these 14 regulons, five of them were computationally predicted to …

An Algorithm For Calculating Top-Dimensional Bounding Chains, J. Frederico Carvalho​, Mikael Vejdemo-Johansson, Danica Kragic, Florian T. Pokorny

Publications and Research

We describe the Coefficient-Flow algorithm for calculating the bounding chain of an (n-1)-boundary on an n-manifold-like simplicial complex S. We prove its correctness and show that it has a computational time complexity of O(|S(n−1)|) (where S(n−1) is the set of (n-1)-faces of S). We estimate the big-O coefficient which depends on the dimension of S and the implementation. We present an implementation, experimentally evaluate the complexity of our algorithm, and compare its performance with that of solving the underlying linear system.

Stress Levels Of Cs1 Students During Programming- Measurement And A Cause And Effect Analysis, Gopi Satya Sainadh Raju Sarikonda

Theses and Dissertations

Stress is a kind of feeling we experience when we are under pressure. Stress is the word that we use when we feel that we are overloaded mentally in our thoughts and wonder whether we can cope with those placed upon us. The effects of stress are different for different people when we take their age, profession, gender and other aspects into consideration. Many studies show that stress in a learning environment impacts learning negatively.

In this thesis, the role of stress on students in an introductory programming course (CS1) at CSU has been explored. Introductory programming course has a …

Physical Applications Of The Geometric Minimum Action Method, George L. Poppe Jr.

Dissertations, Theses, and Capstone Projects

This thesis extends the landscape of rare events problems solved on stochastic systems by means of the \textit{geometric minimum action method} (gMAM). These include partial differential equations (PDEs) such as the real Ginzburg-Landau equation (RGLE), the linear Schroedinger equation, along with various forms of the nonlinear Schroedinger equation (NLSE) including an application towards an ultra-short pulse mode-locked laser system (MLL).

Additionally we develop analytical tools that can be used alongside numerics to validate those solutions. This includes the use of instanton methods in deriving state transitions for the linear Schroedinger equation and the cubic diffusive NLSE.

These analytical solutions are …

Factors Influencing The Adoption Of Smart Wearable Devices, Apurva Adapa, Fiona Fui-Hoon Nah, Richard H. Hall, Keng Siau

Research Collection School Of Computing and Information Systems

This article examined factors associated with the adoption of smart wearable devices. More specifically, this research explored the contributing and inhibiting factors that influence the adoption of wearable devices through in-depth interviews. The laddering approach was used in the interviews to identify not only the factors but also their relationships to underlying values. The wearable devices examined were a Smart Glass (Google Glass) and a Smart Watch (Sony Smart Watch 3). Two user groups, college students and working professionals, participated in the study. After the participants had the opportunity to try out each of the two devices, the factors that …

Finding All Nearest Neighbors With A Single Graph Traversal, Yixin Xu, Qi Jianzhong, Borovica‐Gajic Renata, Kulik Lars

Research Collection School Of Computing and Information Systems

Finding the nearest neighbor is a key operation in data analysis and mining. An important variant of nearest neighbor query is the all nearest neighbor (ANN) query, which reports all nearest neighbors for a given set of query objects. Existing studies on ANN queries have focused on Euclidean space. Given the widespread occurrence of spatial networks in urban environments, we study the ANN query in spatial network settings. An example of an ANN query on spatial networks is finding the nearest car parks for all cars currently on the road. We propose VIVET, an index-based algorithm to efficiently process ANN …

Discovering Hidden Topical Hubs And Authorities In Online Social Networks, Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Finding influential users in online social networks is an important problem with many possible useful applications. HITS and other link analysis methods, in particular, have been often used to identify hub and authority users in web graphs and online social networks. These works, however, have not considered topical aspect of links in their analysis. A straightforward approach to overcome this limitation is to first apply topic models to learn the user topics before applying the HITS algorithm. In this paper, we instead propose a novel topic model known as Hub and Authority Topic (HAT) model to combines the two process …