Evidence Aware Neural Pornographic Text Identification For Child Protection,
2021
Singapore Management University
Evidence Aware Neural Pornographic Text Identification For Child Protection, Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu
Research Collection School Of Computing and Information Systems
Identifying pornographic text online is practically useful to protect children from access to such adult content. However, some authors may intentionally avoid using sensitive words in their pornographic texts to take advantage of the lack of human audits. Without prior knowledge guidance, real semantics of such pornographic text is difficult to understand by existing methods due to its high context-sensitivity and heavy usage of figurative language, which brings huge challenges to the porn detection systems used in social media platforms. In this paper, we approach to the problem as a document-level porn identification task by locating and integrating sentence-level evidence …
Model Uncertainty Guides Visual Object Tracking,
2021
Singapore Management University
Model Uncertainty Guides Visual Object Tracking, Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft
Research Collection School Of Computing and Information Systems
Model object trackers largely rely on the online learning of a discriminative classifier from potentially diverse sample frames. However, noisy or insufficient amounts of samples can deteriorate the classifiers' performance and cause tracking drift. Furthermore, alterations such as occlusion and blurring can cause the target to be lost. In this paper, we make several improvements aimed at tackling uncertainty and improving robustness in object tracking. Our first and most important contribution is to propose a sampling method for the online learning of object trackers based on uncertainty adjustment: our method effectively selects representative sample frames to feed the discriminative branch …
Portfolio Diversification Using Shape-Based Clustering,
2021
Singapore Management University
Portfolio Diversification Using Shape-Based Clustering, Tristan Lim, Chin Sin Ong
Research Collection School Of Computing and Information Systems
Portfolio diversification involves lowering the correlation between portfolio assets to achieve improved risk–return exposure. It is reasonable to infer from the classic Anscombe quartet that relying on descriptive statistics, and specifically, correlation, to achieve portfolio diversification may not derive the most optimal multiperiod portfolio risk-adjusted return because stocks in a portfolio can exhibit different price trends over time, even with the same computed pairwise correlation. This research applied a shape-based time-series clustering technique of agglomerative hierarchical clustering using dynamic time-series warping as a distance measure to aggregate stocks into like-trending clusters across time as a portfolio diversification tool. Results support …
Exploring Media Portrayals Of People With Mental Disorders Using Nlp,
2021
Singapore Management University
Exploring Media Portrayals Of People With Mental Disorders Using Nlp, Swapna Gottipati, Mark Chong, Andrew Wei Kiat Lim, Benny Haryanto Kawidiredjo
Research Collection School Of Computing and Information Systems
Media plays an important role in creating an impact in society. Several studies show that news media and entertainment channels, at times may create overwhelming images of the mental illness that emphasize criminality and dangerousness. The consequences of such negative impact may impact the audience with stigma and on the other hand, they impair the self-esteem and help-seeking behavior of the people with mental disorders. This is the first study to examine the Singapore media’s portrayal of persons with mental disorders (MDs) using text analytics and natural language processing. To date, most studies on media portrayal of people with MDs …
Evolutionary Simulation Of Online Public Opinion Based On The Bert-Lda Model Under Covid-19,
2021
1. School of Public Management, Xiangtan University, Xiangtan 411105, China; ;3. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China; ;
Evolutionary Simulation Of Online Public Opinion Based On The Bert-Lda Model Under Covid-19, Muni Zhuang, Li Yong, Tan Xu, Taitian Mao, Kaicheng Lan, Lining Xing
Journal of System Simulation
Abstract: The construction of a large-scale online public opinion evolution simulation model has guidance value for differentiated emergency management and public opinion guidance in the worst-hit areas in Wuhan and the other areas in China during the outbreak of the COVID-19. In order to realize the fine-grained simulation of the public sentiment evolution of the topic, the LDA topic model is deeply integrated with BERT word vector to optimize the topic vector and power the text topic clustering. At the same time, on the basis of improving BERT pre-training task, the deep pre-training task is superimposed to improve the accuracy …
A Quantization-Based Integration Method For Stiff Ordinary Differential Equations,
2021
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China;
A Quantization-Based Integration Method For Stiff Ordinary Differential Equations, Zhihua Li, Jiang De, Chenjia Wu, Zhihua Fan
Journal of System Simulation
Abstract: QSS(Quantized State System) has advantages over the traditional time-discrete integration methods in solving general ordinary differential equation (ODE) systems, but it is not suitable for solving the stiff ODE systems. To effectively solve the stiff ODE systems, a step-correction optimization algorithm based on QSS (SCOA based-on QSS) is proposed, which combines the ideas of the QSS method and the implicit trapezoidal integral method. The simulation results of three typical stiff ODE cases show that the SCOA based-on QSS algorithm has advantages over other algorithms, and the simulation accuracy can be significantly improved by appropriately reducing the quantum size.
Cold Load Prediction Model Based On Improved Pso-Bp Algorithm,
2021
1. School of Construction Equipment and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; ;
Cold Load Prediction Model Based On Improved Pso-Bp Algorithm, Junqi Yu, Wenqiang Jing, Anjun Zhao, Yanhuan Ren, Zhou Meng, Xinle Huang, Yang Xue
Journal of System Simulation
Abstract: Aiming at the low correlation between input and output data and the error of prediction model in PSO-BP neural network prediction model, a combined prediction method based on JMP, PSO-BP neural network and Markov chain is proposed. The method first uses JMP data processing software to process the input data and eliminating the low coupling degree samples, then conducts PSO-BP neural network training to obtain the cold load prediction results, and finally uses markov chain to eliminate the random errors generated by the system to obtain the final prediction results. The results show that the combined prediction method has …
Research On Virtual Simulation Training System For Multi-Position Collaborative Operation In Oilfields,
2021
School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China;
Research On Virtual Simulation Training System For Multi-Position Collaborative Operation In Oilfields, Xianmei Liu, Jia Di, Liu Fang
Journal of System Simulation
Abstract: Aiming at the demands of multi-position collaborative operation in oilfields, the virtual simulation training system for multi-position collaborative operation in oilfields is studied. It shows the development mode and architecture of the system which uses the user perception environment to obtain data for the autonomous decision, and uses the collision detection process to simulate the interaction between user and device. The co-simulation strategy and the network communication protocol are designed. The room management is used to ensure that the scenes in the group are consistent in real time and the scenarios between the groups are independent. The Non-Player Character(NPC) …
Research On Double Input Motion Somatosensory Algorithm Based On Logic Control,
2021
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
Research On Double Input Motion Somatosensory Algorithm Based On Logic Control, Wang Hui, Yingtao Liu
Journal of System Simulation
Abstract: Aiming at the two-input classic washout algorithm in the flight simulator, there are problems such as loss of perceived angular velocity signal, phase error, and insufficient fidelity. A logic control washing-out algorithm is proposed. Based on the vestibular system theory, the classic washout algorithm is used to improve the high-pass angular velocity channel structure. A logic controller and an angular displacement continuous generator are designed to optimize the coupling angular velocity in the high-pass angular velocity channel and the tilt coordination channel and stabilize the jump change washout angular displacement, so the improved algorithm is more consistent with the …
Joint Low Rank And Sparsity-Based Channel Estimation For Fdd Massive Mimo,
2021
Tianjin University of Finance and Economy, School of Science and Technology, Tianjin 300222, China;
Joint Low Rank And Sparsity-Based Channel Estimation For Fdd Massive Mimo, Zhou Jin
Journal of System Simulation
Abstract: Channel estimation of millimeter wave communication needs large system load. In order to reduce the load, a low-rank and sparse feature of the wireless channel is combined, and a channel estimation algorithm framework based on non-convex low-rank approximation is proposed. Aiming at the large computation of the channel model-based dictionary learning algorithm, a dictionary learning algorithm for deep neural network channel feature classification is designed. The simulation shows that the average square error of the proposed method is better than the channel model-based dictionary learning method, the channel estimation method under the Bayesian framework, and the compressed …
Visualization Of Finite Element Analysis Deformation Results Based On Hololens,
2021
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China;
Visualization Of Finite Element Analysis Deformation Results Based On Hololens, Jinli Xu, Zhou Zheng
Journal of System Simulation
Abstract: An UWP application of virtual review of the finite element analysis based on Microsoft HoloLens is developed by using Unity3D software. A set of programs are completed to realize three-dimensional solid static finite element analysis in Matlab. To realize the visualization of the deformation effect, the useful information of the finite element analysis result is extracted and exported to VTK file, then converted into DAE file. A vertex shader is written in Unity3D software to realize the color display and the visualization of deformation effect of one-sided model, and finally the UWP application is released to HoloLens. The test …
Safety Evaluation And Risk Level Prediction Of Driving Behavior Considering Multi-Factors Influence,
2021
Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
Safety Evaluation And Risk Level Prediction Of Driving Behavior Considering Multi-Factors Influence, An Yu, Pengpeng Jiao, Zixiu Bai
Journal of System Simulation
Abstract: In order to study the influence of multi-factors of human-vehicle-road on driving behavior and vehicle safety status in road traffic system, a simulated driving comparison test of six scenarios combined by multiple factors is designed. Driving simulator, physiography and eye tracker are used to collect 19 indicators related to driving behavior respectively. The differences of sample data are compared by variance analysis. The nonlinear SVM(support vector machine) is used to classify and predict the sample data. The driving behavior risk level prediction model is established, and the validity of the model is verified by the experimental data. The …
Improved Wolf Pack Algorithm For Distribution Of Molds On Molds Table,
2021
1. Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China; ;2. Department of Digital Factory, Shenyang Institute of Automation, the Chinese Academy of Sciences (CAS), Shenyang 110016, China; ;
Improved Wolf Pack Algorithm For Distribution Of Molds On Molds Table, Zhonghua Han, Yuehan Liu, Li Man, Liangliang Sun, Hongzhi Zheng
Journal of System Simulation
Abstract: In order to solve the problem of the distribution of molds on the mold table in the production process of concrete prefabricated components, a method combining Bottom-Left Algorithm (BLA) and Improved Wolf Pack Algorithm (IWPA) is proposed. Improved Wolf Pack Algorithm is for optimizing the order of upper line and the mold used for each member is sequentially assigned to the mold table according to the upper line. BLA is used to determine the direction and position of the molds on the molds table. The WPA safari behavior is improved by introducing Levi's flying ideas and the Hamming …
Collision Simulation Analysis Of Sam Movable Guardrail,
2021
1. School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China; ;
Collision Simulation Analysis Of Sam Movable Guardrail, Hongjun Cui, Sixue Li, Minqing Zhu, Li Xia
Journal of System Simulation
Abstract: Aiming at the problem of low anti-collision grade of the movable guardrail at the opening of the central divding belt of the expressway, a SAm-level concrete movable guardrail and a new connecting device are proposed. Based on the finite element method, the collision model between the vehicle and the guardrail is established, and the collision process is also calculated by LS-DYNA. According to the collision results of different vehicle types, the safety performance of the guardrail is evaluated in terms of cushioning, blocking and guiding performance. The OIV value is less than 12 m/s for small vehicles' collision with …
Simulation Research On Abandonment Rate Of Contact Center Based On Patience Threshold,
2021
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
Simulation Research On Abandonment Rate Of Contact Center Based On Patience Threshold, Junxiang Li, Wanbin Zang
Journal of System Simulation
Abstract: Customer abandonment rate is an important indicator to measure the service level of contact center. Customers in a traditional call center follow the principle of first come, first served, but some customers will be lost in the queuing process because of their limited patience. In this regard, by setting the customer's patience threshold and considering adding a specific agent channel to the member customers, or adjusting the number of agent channels under the original staffing, a new contact center queuing model is established based on the traditional call center model. The ProModel simulation software is used to study the …
Real-Time Prediction Of Primary Flow By Mpc Method In Heating System,
2021
1. Beijing District Heating Group, Beijing 100028, China; ;
Real-Time Prediction Of Primary Flow By Mpc Method In Heating System, Zhongbo Li, Jia Meng, Kang Yan, Haihong Wang, Li Miao, Lü Qing, Jingjing Xie, Dajun Fang
Journal of System Simulation
Abstract: Based on the model predictive control method, this paper uses the discrete controlled autoregressive model to establish the dynamic heat transfer delay model of the secondary network and the thermal station model. The polynomial fitting method of machine learning algorithm is applied to identify and calibrate the parameters of the secondary network model and the thermal station model. The primary flow rate of the heating station under future operating conditions is predicted based on the model results, which provides a basis for the quality-based regulation of heating system. The model is verified by measured data, and the actual …
Modeling And Simulation Of Physical Layer Security Strategy In Two-Way Cognitive Networks,
2021
1. State Key Lab of ISN, Xidian University, Xi'an 710071, China; ;2. Rocket Force University of Engineering, Xi'an 710025, China;
Modeling And Simulation Of Physical Layer Security Strategy In Two-Way Cognitive Networks, Pan Lei, Li Zan, Zhili Zhang, Xiangyang Li
Journal of System Simulation
Abstract: In order to improve the performance of the mobile communication system, the physical layer security transmission models of a two-way cognitive relay network with the primary network and eavesdropper are established, and a joint optimization strategy for relay selection and power allocation is proposed to protect the source-destination transmission against the eavesdropper. It can be seen from the simulation analysis that this non-convex optimization problem has many restrictions, and it is difficult to guarantee the feasibility of the initial solution generated randomly by the PSO algorithm, resulting in the difficulty of obtaining solution. Therefore, a hybrid optimization algorithm based …
Architecture Design Of An Emergency Command Simulation Exercise Platform Based On Tena,
2021
China Academy of Electronics and Information Technology, CETC, Beijing 100041, China;
Architecture Design Of An Emergency Command Simulation Exercise Platform Based On Tena, Peng Zhang, Qinfu Li
Journal of System Simulation
Abstract: Based on the analysis of the current situation and development needs of the emergency command simulation exercise platform and the common characteristics of most emergency command case scenarios, an emergency command simulation exercise platform architecture based on TENA (Test and Training Enabling Architecture) is designed and put forward, which can expand various simulation models such as disaster accidents, disaster-bearing subjects, higher-lower linkage command organizations, rescue forces, natural environment, etc. in a multi-granularity and modular manner, and interface with various exercise support and analysis evaluation tools, as well as heterogeneous systems such as external three-dimensional simulation, virtual reality/augmented reality equipment …
Research On Precision Parking Control Method For Emu Inbound Process,
2021
1. Key Laboratory of Advanced Control & Optimization of Jiangxi Province, Nanchang 330013, China; ;2. School Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;
Research On Precision Parking Control Method For Emu Inbound Process, Zhongqi Li, Yueshuang Xing
Journal of System Simulation
Abstract: By analyzing the relationship between braking force and speed during the stop-stop process of high-speed EMU(Electric Multiple Units), the multi-point dynamics model of EMU is constructed. The Smith predictor is introduced due to the delay effect on the system caused by the braking force generated during the late braking, and the RBF(Radial Basis Function) neural network-based PID control strategy is combined with the Smith predictor to achieve tracking control of a given speed during braking. Simulation analysis shows that the error of train speed and set speed controlled by RBF neural network PID-Smith controller is less than ±1 …
Uncertainty Quantitative Analysis In Risk Assessment Of Returning To School In The Post-Covid-19 Era,
2021
1. Engineering Training Center of Inner Mongolia University of Technology, Hohhot 010051, China; ;2. Inner Mongolia Key Laboratory of Statistical Analysis Theory for Life Data and Neural Network Modeling, College of Sciences, Inner Mongolia University of Technology, Hohhot 010051, China; ;
Uncertainty Quantitative Analysis In Risk Assessment Of Returning To School In The Post-Covid-19 Era, Haibin Li, Jialiang Wang, Haiyan Li
Journal of System Simulation
Abstract: After the epidemic, taking the spread of the epidemic in returning to school as an example, a quantitative risk assessment study is conducted. Taking the activity trajectory description of the whole process of susceptible individuals from infection to isolation as a clue, an epidemiological model for risk assessment is established. The number of infected persons in the risk indicators of returning to school is quantified based on the quantified model parameters. According to the value characteristics of the parameters, the number of infected persons is taken as a function of discrete random variables. The probability distribution of the infected …
