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Articles 61 - 90 of 277
Full-Text Articles in Artificial Intelligence and Robotics
Mining Temporal Activity Patterns On Social Media, Nikan Chavoshi
Mining Temporal Activity Patterns On Social Media, Nikan Chavoshi
Computer Science ETDs
Social media provide communication networks for their users to easily create and share content. Automated accounts, called bots, abuse these platforms by engaging in suspicious and/or illegal activities. Bots push spam content and participate in sponsored activities to expand their audience. The prevalence of bot accounts in social media can harm the usability of these platforms, and decrease the level of trustworthiness in them. The main goal of this dissertation is to show that temporal analysis facilitates detecting bots in social media. I introduce new bot detection techniques which exploit temporal information. Since automated accounts are controlled by computer programs, …
Modeling Contemporaneous Basket Sequences With Twin Networks For Next-Item Recommendation, Duc Trong Le, Hady W. Lauw, Yuan Fang
Modeling Contemporaneous Basket Sequences With Twin Networks For Next-Item Recommendation, Duc Trong Le, Hady W. Lauw, Yuan Fang
Research Collection School Of Computing and Information Systems
Our interactions with an application frequently leave a heterogeneous and contemporaneous trail of actions and adoptions (e.g., clicks, bookmarks, purchases). Given a sequence of a particular type (e.g., purchases)-- referred to as the target sequence, we seek to predict the next item expected to appear beyond this sequence. This task is known as next-item recommendation. We hypothesize two means for improvement. First, within each time step, a user may interact with multiple items (a basket), with potential latent associations among them. Second, predicting the next item in the target sequence may be helped by also learning from another supporting sequence …
Taxis Strike Back: A Field Trial Of The Driver Guidance System, Shih-Fen Cheng, Shashi Shekhar Jha, Rishikeshan Rajendram
Taxis Strike Back: A Field Trial Of The Driver Guidance System, Shih-Fen Cheng, Shashi Shekhar Jha, Rishikeshan Rajendram
Research Collection School Of Computing and Information Systems
Traditional taxi fleet operators world-over have been facing intense competitions from various ride-hailing services such as Uber and Grab (specific to the Southeast Asia region). Based on our studies on the taxi industry in Singapore, we see that the emergence of Uber and Grab in the ride-hailing market has greatly impacted the taxi industry: the average daily taxi ridership for the past two years has been falling continuously, by close to 20% in total. In this work, we discuss how efficient real-time data analytics and large-scale multi-agent optimization technology could potentially help taxi drivers compete against more technologically advanced service …
The Price Of Usability: Designing Operationalizable Strategies For Security Games, Sara Marie Mccarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
The Price Of Usability: Designing Operationalizable Strategies For Security Games, Sara Marie Mccarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
Research Collection School Of Computing and Information Systems
We consider the problem of allocating scarce security resources among heterogeneous targets to thwart a possible attack. It is well known that deterministic solutions to this problem being highly predictable are severely suboptimal. To mitigate this predictability, the game-theoretic security game model was proposed which randomizes over pure (deterministic) strategies, causing confusion in the adversary. Unfortunately, such mixed strategies typically involve randomizing over a large number of strategies, requiring security personnel to be familiar with numerous protocols, making them hard to operationalize. Motivated by these practical considerations, we propose an easy to use approach for computing strategies that are easy …
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
The International Student Science Fair 2018
Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …
Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas
Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas
Conference papers
To integrate perception into dialogue, it is necessary to bind spatial language descriptions to reference frame use. To this end, we present an analysis of discourse and situational factors that may influence reference frame choice in dialogues. We show that factors including spatial orientation, task, self and other alignment, and dyad have an influence on reference frame use. We further show that a computational model to estimate reference frame based on these features provides results greater than both random and greedy reference frame selection strategies.
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
The International Student Science Fair 2018
Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …
Mind The Gap: Situated Spatial Language A Case-Study In Connecting Perception And Language, John D. Kelleher
Mind The Gap: Situated Spatial Language A Case-Study In Connecting Perception And Language, John D. Kelleher
Other
This abstract reviews the literature on computational models of spatial semantics and the potential of deep learning models as an useful approach to this challenge.
Combination Forecasting Of Stock Index Time Series Based On Cooperative Game Theory, Luo Wei
Combination Forecasting Of Stock Index Time Series Based On Cooperative Game Theory, Luo Wei
Journal of System Simulation
Abstract: In view of the characteristics of nonlinear, large amplitude, frequent fluctuations in China's stock market, a prediction method of intelligent composite stock index time series based on the cooperative game is presented. The prediction model of stock index time series is established by using neural network method based on the correlations among the various economic indicators, and the development trend and laws of stock index time series are established by using the improved ARIMA method. The two methods are combined by importing cooperative game method. Simulation results show that the prediction accuracy of the presented method is controlled …
Real-Time Simulator For Spatial Information Networks Based On Analog If Signal Processing, Zeguo Yang, Ma Shang, Diaopeng Huang, Jianhao Hu, Lixiang Liu
Real-Time Simulator For Spatial Information Networks Based On Analog If Signal Processing, Zeguo Yang, Ma Shang, Diaopeng Huang, Jianhao Hu, Lixiang Liu
Journal of System Simulation
Abstract: To solve the problem of real-time simulation of spatial information network with high dynamic network topology, a real-time simulator based on the IF signal processing is proposed. Compared with traditional channel simulator, it supports both the channel transmission characteristics like channel fading, Doppler shift, noise, and path delay, and the real-time simulation of dynamic network topology changes. The simulator supports 8~128 70 MHz IF (0~20 MHz signal bandwidth) emulated nodes with flexible link type configuration. The maximal fading depth is 100 dB, the maximal Doppler shift is 2 MHz, and the maximal path delay can reach up …
A Lightweight Modeling And Simulation Technical Framework For Complex Systems, Ji Hang, Junhua Zhou, Guoqiang Shi, Tingyu Lin, Junjie Xue
A Lightweight Modeling And Simulation Technical Framework For Complex Systems, Ji Hang, Junhua Zhou, Guoqiang Shi, Tingyu Lin, Junjie Xue
Journal of System Simulation
Abstract: Aiming at the modeling and simulation verification of complex systems, the paper established a lightweight simulation technical framework and a system building method. The simulation technical framework is built based on distributed network communication middleware and has graphic user interface, simulation management and run control modules, it packages effective and lightweight network middleware, object management, event management and time management and it is capable of interoperability and its members have abilities of reusable and combinable. The results show that the framework can supports flexible construction and effective simulation on complex systems.
Temperature Characteristics Of Contact Wire Under Different Driving Intervals, Hongwei Wang, Zhang Kai, Zhiyong Wang, Fengyi Guo, Liu Shuai, Zhang Qiong
Temperature Characteristics Of Contact Wire Under Different Driving Intervals, Hongwei Wang, Zhang Kai, Zhiyong Wang, Fengyi Guo, Liu Shuai, Zhang Qiong
Journal of System Simulation
Abstract: To reduce the wear of pantograph and catenary system while decreasing the headway, the temperature field of the contact wire is studied. A simulation model is established by using the COMSOL Multiphysics software. The effectiveness of the model is verified with temperature experiments. Temperature field of the contact wire of freight locomotive and passenger locomotive in different intervals is studied by simulation. The smaller the headway of trains, the higher the temperature value, and the shorter the balance process. Under the constraint of temperature field, the headway of freight locomotive couldn't be less than 180s under long term operation. …
Analysis And Simulation Of Temperature Control For Battery Pole Piece Electromagnetic Heating Roller, Jing Ran, Feng Hua, Yonggeng Wang, Haiping Song, Yanjun Xiao
Analysis And Simulation Of Temperature Control For Battery Pole Piece Electromagnetic Heating Roller, Jing Ran, Feng Hua, Yonggeng Wang, Haiping Song, Yanjun Xiao
Journal of System Simulation
Abstract: With the application of electromagnetic heating roller on battery pole piece rolling,the processing technology, quality and efficiency of the battery pole piece are improved. The special heating technology of electromagnetic heating roller which involves multi-physics coupling in the process of conversion makes it difficult to control the heating process and determine the control index. By studying the electromagnetic heating theory, the mathematical model of electromagnetic heating roller is established and the simulation and analysis of the electromagnetic heating roller using MATLAB software and the finite difference method are carried out. The distribution, change rule and influence factors of the …
Modeling & Simulation Technology In Manufacturing, Zhang Lin, Longfei Zhou
Modeling & Simulation Technology In Manufacturing, Zhang Lin, Longfei Zhou
Journal of System Simulation
Abstract: With the continuous deepening of the application of information technology in the manufacturing field, the informatization of manufacturing systems is developing from unit digital manufacturing to integration networked manufacturing, and then to the comprehensive digital, networked and intelligent manufacturing. As a comprehensive information technology integrating computer, model theory, and scientific computing, modeling & simulation technology plays an irreplaceable role during the development of manufacturing informatization and is widely applied in all phases of the whole product lifecycle, such as design, manufacturing, testing, maintenance, purchase, sales and other phase. This paper reviews and summarizes the research and application of modeling …
Research On Maturity Evaluation Technology Of Complex Digital Industrial System, Geng Chao, Shiyou Qu, Tingyu Lin, Guoqiang Shi, Yingying Xiao, Wang Mei, Qiudan Ma, Ji Hang
Research On Maturity Evaluation Technology Of Complex Digital Industrial System, Geng Chao, Shiyou Qu, Tingyu Lin, Guoqiang Shi, Yingying Xiao, Wang Mei, Qiudan Ma, Ji Hang
Journal of System Simulation
Abstract: Under the background of a new round of the innovation of science and technology and the revolution of industry, the complex digital industrial system is constantly innovating and shaping. Firstly, the paper established maturity evaluation model of the complex digital industrial system based on system engineering. Then, the paper proposed multi - index maturity analysis method and multi - enterprise maturity synthesis method of the complex digital industrial system. Combined with the digital industrial system of aerospace complex product, an evaluation example is presented. The results show that the maturity evaluation method can be used to standardize and guide …
Identification Of Closed Loop Projection Subspace For Motor Based On Hankel Correlation Function, Minghong She
Identification Of Closed Loop Projection Subspace For Motor Based On Hankel Correlation Function, Minghong She
Journal of System Simulation
Abstract: To solve estimation deviation problem of model parameter in the closed-loop system identification, the subspace identification model and state space model based on the estimation of the correlation function are presented, and through the correlation function estimation and zero space followed by projection, the block Hankel matrix of identification framework was filled so as to obtain the scope of the extended observability matrix; on the basis of the same projection on the time offset set of related data, the RQ decomposition of the projection is calculated by numerical calculation, and the dynamic estimation of the system model is obtained. …
High Frequency Blend Clips Matching Based Fire Sound Synthesis, Yin Qiang, Shiguang Liu
High Frequency Blend Clips Matching Based Fire Sound Synthesis, Yin Qiang, Shiguang Liu
Journal of System Simulation
Abstract: Aimed at the problem which generated by fire sound simulation in virtual reality field, a new fire sound synthesis method was proposed. Most of the sound synthesis methods currently separate the fire sound into low and high frequencies for synthesizing. The influence of low frequency fire sound models was considered and the low frequency signal was synthesized based on the physical visual fire model data. The high frequency sound signal was synthesized based on high frequency blend clips matching method. According to the characteristics of the fire's high frequency, the different frequency bands of high noise signal …
Clustering Method Based On Graph Data Model And Reliability Detection, Yanyun Cheng, Huisong Bian, Changsheng Bian
Clustering Method Based On Graph Data Model And Reliability Detection, Yanyun Cheng, Huisong Bian, Changsheng Bian
Journal of System Simulation
Abstract: For the data in feature space, traditional clustering algorithm can take clustering analysis directly. High-dimensional spatial data cannot achieve intuitive and effective graphical visualization of clustering results in 2D plane. Graph data can clearly reflect the similarity relationship between objects. According to the distance of the data objects, the feature space data are modeled as graph data by iteration. Cluster analysis based on modularity is carried out on the modeling graph data. The two-dimensional visualization of non-spherical-shape distribution data cluster and result is achieved. The concept of credibility of the clustering result is proposed, and a method is proposed, …
Aerodynamic Simulation Of Multi-Dof Flapping-Wing Air Vehicle Of Bird-Like Based On Xflow Software, Yonggang Yang, Hanping Su
Aerodynamic Simulation Of Multi-Dof Flapping-Wing Air Vehicle Of Bird-Like Based On Xflow Software, Yonggang Yang, Hanping Su
Journal of System Simulation
Abstract: The aerodynamic characteristics analysis of flapping-wing is of great significance to the design, manufacturing and control of the aircraft. In this paper, a simple motion model of multiple-Degrees-of- Freedom (multi-DOF) of “swing-torsion-bending and folding” is established by analyzing the flight characteristics of bird-like flapping wing. The flapping-wing air vehicle of multi-DOF is numerically simulated in the case of unsteady flow at low Reynolds number by XFlow software. The effects of flapping wing shape, frequency and inflow on surrounding air are analyzed. The simulation results provide theory and technique supports for the flapping-wing air vehicle'research and development.
Simulation Analysis Of Magnetic Field Effect In Induction Heating Coil Of Porous Silicon Core Furnace, Jingang Li, Gaoyuan Liu
Simulation Analysis Of Magnetic Field Effect In Induction Heating Coil Of Porous Silicon Core Furnace, Jingang Li, Gaoyuan Liu
Journal of System Simulation
Abstract: A new technology of porous coil disposable drawing a plurality of single crystal silicon rod can solve the problem of low efficiency and high cost of zone melting method of single induction heating coil in drawing monocrystalline silicon. However,the missing of the theoretical research and mature technology leads to different sizes of monocrystalline silicon rods. According to electromagnetic theory,Some characterisitics of the porous coil are studied,including magnetic field model,operating principle,magnetic field distribution.To prove the mechanism of the technology, a mathematical model of the porous coil is constructed based on Matlab and Ansys software. The magnetic flux density distribution …
Synthesizing Rotational Human Motion With Physical Reality, Wei Yi, Shihong Xia
Synthesizing Rotational Human Motion With Physical Reality, Wei Yi, Shihong Xia
Journal of System Simulation
Abstract: Both keyframes and their timings play an important role in synthesizing physically realistic human motion. However, physically plausible timings are hard to set by manual. By combing keyframes and the physics-based optimization, a new method is proposed to solve physically plausible timings of given keyframes. Firstly, the keyframes and the initial value of the timings of keyframes are set through a graphical user interface. Secondly, the physically plausible timings of keyframes are obtained by optimizing a small-size nonlinear optimization model. Finally, the rotational human motion is synthesized by the keyframes and the computed timings of keyframes. Experiments are performed …
Equipment Rul Prediction Oriented Parallel Simulation Framework, Chenglong Ge, Yuanchang Zhu, Yanqiang Di, Zhiwei Hu, Zhihua Dong
Equipment Rul Prediction Oriented Parallel Simulation Framework, Chenglong Ge, Yuanchang Zhu, Yanqiang Di, Zhiwei Hu, Zhihua Dong
Journal of System Simulation
Abstract: As the equipment states are complicated with uncertainty, predicting remaining useful life with self-updating ability has become a hard task. Simulation provides an effective way to solve the problem. The concept and technology framework of equipment remaining useful life prediction oriented parallel simulation are proposed based on parallel system theory and the concept, characteristics, capacity demands and functional compositions of parallel simulation are introduced. The main modeling technologies of equipment remaining useful life prediction oriented parallel simulation are discussed, which include awareness of equipment degradation state, construction of equipment degradation state space model and evolution of equipment degradation state …
Matlab-Based Physical Real-Time Simulation Platform Of Pmsm In Intelligent Test System, Mengru Wang, Zhou Shan, Jinbo Wang, Panpan Xue
Matlab-Based Physical Real-Time Simulation Platform Of Pmsm In Intelligent Test System, Mengru Wang, Zhou Shan, Jinbo Wang, Panpan Xue
Journal of System Simulation
Abstract: As the physical objects cannot simulate multiple failure modes to cooperate with space controller test, a solution that establishing the real-time physics simulation platform which contains the controlled object and the control system is proposed in this paper. In this solution, we established permanent magnet synchronous motor vector control model using MATLAB /Simulink toolbox of System Generator, then implemented on FPGA; After hardware extension, a complete closed-loop test system is constructed with the DUT(controller) and the motor simulation model; the model has high pointing and tracking precision. Besides simulating motor's normal functions, the model's parameters can be changed …
Monkey Algorithm For Solving Logistics Center Location Selection Problem, Xiaoping Xu, Dongjie Zhang
Monkey Algorithm For Solving Logistics Center Location Selection Problem, Xiaoping Xu, Dongjie Zhang
Journal of System Simulation
Abstract: The location selection of logistics center is the most basic problem that affects the whole development of logistics center; an improved monkey algorithm is used to solve the problem. The basic idea is that the chaos variables are used to generate the initial feasible solution of the monkey algorithm, the decreasing factor is taken as the climbing step in the climbing process and a chaotic search method is introduced in the looking process to improve the performance of the algorithm. Through simulation experiment, the solution results of typical function and logistics center location problem are given to illustrate the …
Simulation Analysis Of Nearest Neighbor Searching For Anti-Ship Missile Target Selector Performance, Sun Jie, Tianyun Wang, Huanyao Dai, Cuiqiong Mo, Zhao Jing
Simulation Analysis Of Nearest Neighbor Searching For Anti-Ship Missile Target Selector Performance, Sun Jie, Tianyun Wang, Huanyao Dai, Cuiqiong Mo, Zhao Jing
Journal of System Simulation
Abstract: In view of that the current admission comparing searching mode is difficult to adapt to the offshore operation of anti-ship missile in multi target selection, the nearest neighbor selector applied to the target search scheme is put forward. By setting the typical searching situation, a target searching model is established; and on the basis of reasonable simplification, the nearest neighbor selector capture probability of display expression is deduced. Typical scenes in numerical simulation show that the scheme based on distance criterion for admission multiple targets for prioritization effectively improves the search performance of the target. A …
New Phase-Lock Method For Tracking Low-Voltage Ride-Through On Photovoltaic Inverters, Bobo Li, Shouzhi Li, Yanxiao Zhang
New Phase-Lock Method For Tracking Low-Voltage Ride-Through On Photovoltaic Inverters, Bobo Li, Shouzhi Li, Yanxiao Zhang
Journal of System Simulation
Abstract: The low-voltage ride-through in photovoltaic power generation is a key problem for photovoltaic inverters connected to grid. Aiming at the frequency- and phase-locking of low-voltage ride-through on the photovoltaic inverter during asymmetric fault on the grid and using positive and negative sequence separation, a dual second-order generalized integral frequency- and phase-locking algorithm (DSOGI-FLL-PLL) is proposed, and a simple FLL is used so that positive and negative sequence separation can be performed for various frequencies. The conventional phase-lock- loop (PLL) is also used to capture the grid-side voltage, which greatly reduces response time and error of PLL during asymmetric faults …
Vascular Image Enhancement Using Steerable Filters, Yiren Wang, Guoqing Deng, Yingwei Xia, Zhang Long, Liu Yong, Zhang Wen
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
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.
3d Visual Effects Assessment Based On Comprehensive Weight, Yanyang Zeng, Zhenjing Feng
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 …
Svm Prediction Of Performance Degradation Of Rolling Bearings With Fusion Of Kpca And Information Granulation, Jiya Xu, Wang Yan, Dahu Yan, Zhicheng Ji
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 …