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Articles 4171 - 4200 of 6663

Full-Text Articles in Numerical Analysis and Scientific Computing

Optimization For Unrelated Parallel Machine Scheduling With Deteriorating Jobs, Xuan Hua, Yingying Qin, Xueyuan Wang, Bailin Zhang Nov 2019

Optimization For Unrelated Parallel Machine Scheduling With Deteriorating Jobs, Xuan Hua, Yingying Qin, Xueyuan Wang, Bailin Zhang

Journal of System Simulation

Abstract: Unrelated parallel machine scheduling problem with deteriorating jobs is studied with the objective of minimizing the maximum completion time. The processing time of a job varies with its beginning time which is denoted as an increasing function of its starting time. It is assumed that each job has its own different deterioration rate on each machine. A mathematical programming model is formulated for the NP-hard problem. An improved genetic algorithm based on two segment coding and self-adaptive adjustment of genetic parameters is then designed to make job scheduling and machine allocation more reasonable. Through the simulation experiments of different …

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Dbn Method For Risk Assessment Of Dairy Products Cold Chain Logistics, Weijiong Chen, Fan Wen, Xiaolin Zhu, Qimiao Xie, Xiaobei Yin Nov 2019

Dbn Method For Risk Assessment Of Dairy Products Cold Chain Logistics, Weijiong Chen, Fan Wen, Xiaolin Zhu, Qimiao Xie, Xiaobei Yin

Journal of System Simulation

Abstract: Dairy cold chain logistics is a one-way dynamic process. According to the Bayesian theory, this paper considered the transitivity between risks and used the GeNIe software to establish the DBN risk assessment model. The cold chain logistics risk probability of dairy products was evaluated and the sensitivity analysis was carried out. The results revealed that the probability of transportation risk is the highest, and the sensitivity of processing risk is the highest. The processing and the transportation are the key links of the dairy product cold chain logistics. Comparing the results of DBN and the results of static Bayesian …

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Lpv Controller Design Of Wind Turbine With Maximum Power Point Tracking, Zheng Yang, Dinghui Wu, Zhicheng Ji Nov 2019

Lpv Controller Design Of Wind Turbine With Maximum Power Point Tracking, Zheng Yang, Dinghui Wu, Zhicheng Ji

Journal of System Simulation

Abstract: A design method of the polytopic controller under the maximum power point tracking (MPPT) is proposed in addressing the low efficiency of the wind turbine under rated wind speed and uncertainty of the wind speed. Considering high nonlinearity of the aerodynamic system, the Jacobi linearization and the convex decomposition technique are employed to transform the wind turbine system into a polytopic linear parameter varying (LPV) model with the bias torque of the aerodynamic torque as the scheduling variable. By solving the linear matrix inequalities (LMIs), a polytopic LPV controller is obtained. The simulation results show that the designed controller …

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Design Of Adaptive Predictive Controller For Superheated Steam Temperature Control, Qian Hong, Yuqing Feng Nov 2019

Design Of Adaptive Predictive Controller For Superheated Steam Temperature Control, Qian Hong, Yuqing Feng

Journal of System Simulation

Abstract: An adaptive model predictive controller for overheating steam temperature control of thermal power plants is designed, which is based on the control object with large delay, large inertia, nonlinearity and strong time-varying properties. Through the on-line identification and control of different models, compared with predictive controllers in a general model, in terms of adjusting the superheat steam temperature, the adjusting time can be shortened drastically, the overshoot can be reduced or even eliminated, and the dynamic performance is improved greatly when applying in adaptive model predictive controller. The results show that the adaptive model predictive controller, because of its …

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Multi-Seats Collaborative Task Planning Based On Improved Particle Swarm Optimization, Cai Rui, Wang Wei, Jue Qu, Hu Bo Nov 2019

Multi-Seats Collaborative Task Planning Based On Improved Particle Swarm Optimization, Cai Rui, Wang Wei, Jue Qu, Hu Bo

Journal of System Simulation

Abstract: Aiming at the allocation conflict between task and operator of multi-seats collaborative task planning in command and control cabin, a multi-seats collaborative task planning method based on improved particle swarm optimization is proposed. This method describes and analyzes the multi-seats collaborative task and establishes a solution space model based on task sequence. In solving the model, the particle swarm optimization (PSO) was improved by using multi-dimensional asynchronous processing and modifying inertia weight parameters so that the efficiency and local searching ability of the PSO were improved. The example analysis shows that the model and the algorithm can effectively reduce …

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From Digital Twin To Digital Engineering Modeling And Simulation Entering A New Era, Zhang Bing, Li Xin, Xinxin Wan Nov 2019

From Digital Twin To Digital Engineering Modeling And Simulation Entering A New Era, Zhang Bing, Li Xin, Xinxin Wan

Journal of System Simulation

Abstract: In the digital new era, all kinds of things and even the whole world can be digitized as a model. Simulation activities are conducted for various purposes, and the results can provide intelligent support for various decision-making. Digital twin is an important form of modeling and simulation application in the digital new era; it has been widely used in intelligent manufacturing, factories, buildings, smart cities and many other fields, showing a strong vitality; and its next step in the development direction is a comprehensive digital engineering. This paper reviews the history of the development of digital twin technology, analyzes …

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Model And Simulation Of Taxi Market With E-Hailing Application, Tian Qiong, Jingtao Zhang Nov 2019

Model And Simulation Of Taxi Market With E-Hailing Application, Tian Qiong, Jingtao Zhang

Journal of System Simulation

Abstract: The emergence and popularity of e-hailing applications offer a new way for taxi drivers and passengers to communicate on line, which not only changes the behaviors of passengers and reduce the idle rate of taxi, but also brings the cost of information for taxis and passengers. Referring to the classic circular city model and combining with the characteristics of new way to take taxis and the cost of information, a model of taxi market with e-hailing application is formulated, which describes the behavior of passengers waiting for idle taxis and taxis cruising for un-served passengers. We provided an algorithm …

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Signal Control Strategy And Simulation For Vehicles Alternatively Passing Construction Area Of Two-Lane Road, Haipeng Shao, Binbin Zheng, Linxu Long Nov 2019

Signal Control Strategy And Simulation For Vehicles Alternatively Passing Construction Area Of Two-Lane Road, Haipeng Shao, Binbin Zheng, Linxu Long

Journal of System Simulation

Abstract: The construction area of the two-lane roads can form the road bottlenecks easily, leading to the capacity of the road reducing. Aiming to keep the vehicle passing the construction area safely and efficiently, we added the strategy of signal control in the construction area. We built a suitable signal control model for the construction area of the two-lane road. By using the simulation software of Vissim, we established the related simulation models. By using the control variable method to change the simulation parameters and by changing the arrival traffic and speed, we got the influences and rules to the …

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Semantic Value-Driven 3d Upright Posture Figure Model Transformation, Yangfu Ren, Yuanyuan Pu, Xu Dan, Wenhua Qian Nov 2019

Semantic Value-Driven 3d Upright Posture Figure Model Transformation, Yangfu Ren, Yuanyuan Pu, Xu Dan, Wenhua Qian

Journal of System Simulation

Abstract: In medical equipment, clothing design, film production and computer games, 3D human body model is an indispensable element, but directly obtaining it by means of scanning the human body model does not directly apply in many environments, so we need to moderate deformation model according to the environment. The operation difficulty of the model of deformation is considered, and the deformation effect is achieved. For studying the 3D human body model deformation problem, the deformation of semantic driven model is introduced. Semantic values of height, leg length and shoulder height were obtained by measuring the position of joint points …

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3d Mesh Editing Method For Virtual Double Eyelid Surgery, Guan Tong, Juntao Ye, Guanghui Ma, Xiaopeng Zhang Nov 2019

3d Mesh Editing Method For Virtual Double Eyelid Surgery, Guan Tong, Juntao Ye, Guanghui Ma, Xiaopeng Zhang

Journal of System Simulation

Abstract: A virtual cosmetic surgery system involves lots of human-computer interactions,and the achieved effects rely on the skills of the operator. Virtual double-fold eyelid surgery is a function that is either missing or implemented with less accuracy in commercial software. To solve these problems, we propose an algorithm that can automatically generate virtual double-fold eyelid path taking advantage of geodesic line. In terms of algorithms, this method adopts a self-adaptive subdivision strategy to avoid losing shapes of the deformation outcomes. Results of experiments show stability, high efficiency and usability of our method.

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System Analysis Method Based On Simulation Big Data, Guangya Si, Wang Fei, Liu Yang Nov 2019

System Analysis Method Based On Simulation Big Data, Guangya Si, Wang Fei, Liu Yang

Journal of System Simulation

Abstract: Wargaming and exploratory simulation with large-scale simulation systems produce massive simulation data. These data contain many complexity patterns of war, and are significant samples for studying the mechanism of war. Based on the definition of simulation big data, an analysis framework based on simulation big data is proposed, which is divided into three levels: simulation environment and data planning, big data acquisition and storage, and analysis and mining. The simulation data planning and analysis and mining are briefly introduced.

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Thermodynamic Simulation Of Carbonitride Precipitation In Micro-Alloyed Steel, Weigang Li, Yang Wei, Liu Chao, Baokang Yan Nov 2019

Thermodynamic Simulation Of Carbonitride Precipitation In Micro-Alloyed Steel, Weigang Li, Yang Wei, Liu Chao, Baokang Yan

Journal of System Simulation

Abstract: A mathematical model for calculating the precipitation of carbonitride in the process of hot rolling of composite micro-alloyed steel is established, and the interaction between the carbonitride and AlN is considered. In view of the difficulties of the thermodynamic model that the variables are multiple, the equations are nonlinear and the boundary conditions are determined difficultly, the Newton-Raphson numerical algorithm characterized by coupled problem is adopted. The precipitation starting temperature and precipitation sequence of carbonitride and AlN at different compositions are determined. The equilibrium composition of elements in austenite, the composition and mass fraction of carbonitride precipitates, as well …

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Application Of Constraint Force Equation Methodology In Aircraft Stage Separation Dynamics Simulation, Yongji Wang, Bangbang Li, Liu Lei Nov 2019

Application Of Constraint Force Equation Methodology In Aircraft Stage Separation Dynamics Simulation, Yongji Wang, Bangbang Li, Liu Lei

Journal of System Simulation

Abstract: The separation process of two-stage aircraft can be divided into three periods: lock-up period, constraint period and detachment period. The guide pins have constraint on two stages, which permit only translation in X-axis direction. To avoid the complex force analysis, the guide pins can be regarded as a joint of one degree of freedom. By adding the constraint and freedom equations to traditional separation dynamics equations, a dynamics model based on constraint force equation (CFE) methodology was built. The constraint force and moment can be obtained by solving constraint force equations. The constraint force equation (CFE) methodology was …

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Facial Expression Synthesis Using Mals-Based Bilinear Factorization Model, Jiaci Guo, Shuling Dai Nov 2019

Facial Expression Synthesis Using Mals-Based Bilinear Factorization Model, Jiaci Guo, Shuling Dai

Journal of System Simulation

Abstract: Study on the facial expression synthesis is a constructive and creative subject in the field of virtual reality technology. The bilinear model is used for facial expression synthesis by separating the identity factor and the expression factor. The translation procedure in the bilinear model always requires a repetitive computation of matrix inverse operations to reach the identity factor and the expression factor. This computation may be instable when the observation data has the correlation or noisy information. In order to increase the stability of the bilinear model for expression synthesis, the modified iterative least square (MALS) regression is introduced …

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Encoder Fault Detection And Fault Tolerant Control Of 3d Stage Wire System Based On Fdre, Li Wei, Zhenfu Ge, Fuyuan Shen, Jianxing Gong Nov 2019

Encoder Fault Detection And Fault Tolerant Control Of 3d Stage Wire System Based On Fdre, Li Wei, Zhenfu Ge, Fuyuan Shen, Jianxing Gong

Journal of System Simulation

Abstract: Aimed at the problem of encoder fault of 3D stage wire system, combined with LADRC, two kinds of fault tolerant control strategiesare presented based on fault diagnosis reliability evaluation (FDRE) to prevent the spread of fault effects in the system and causing accidents. Based on this, the soft and hard smooth transition soft redundant switching mechanism is designed. The simulation results show that the control strategy can ensure encoder fault detection in a timely and reliable manner, and effectively improve the safety and reliability of 3D stage wire system.

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Modeling And Simulation Of Missile Trajectory Based On Practical Sampling, Wu Shuai, Xiaohua Zhou, Lili Wang, Xingzhong Yao Nov 2019

Modeling And Simulation Of Missile Trajectory Based On Practical Sampling, Wu Shuai, Xiaohua Zhou, Lili Wang, Xingzhong Yao

Journal of System Simulation

Abstract: Aiming at the problem of lacking the proper simulation method for missile trajectory in combat simulation training, this paper analyzes the limitations of the 6D and 3D simulation models, proposes a method of trajectory simulation with missile kinematics model and history measured data, and taking an air-to-surface ballistic missile with midcourse-terminal guidance as an example, describes the model construction process in detail. Through the verification, validation and simulation experiments, it shows that this method can simulate various types of missile trajectory with high confidence on both sides of “red and blue”, which has an important reference meaning for missile …

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Multi-Objective Operation Scheduling Optimization Of Shipborne-Equipment Based On Genetic Algorithm, Jinsong Bao, Zhiqiang Li, Yaqin Zhou Nov 2019

Multi-Objective Operation Scheduling Optimization Of Shipborne-Equipment Based On Genetic Algorithm, Jinsong Bao, Zhiqiang Li, Yaqin Zhou

Journal of System Simulation

Abstract: Multi-objective operation scheduling of shipborne equipment is a complex combinational optimization problem under multi-task system. Existing research focuses mainly on single-objective optimization while several other objectives need to be considered during real operation such as path, duration, resource, etc. Considering the operation scheduling before exporting of an amphibious landing ship as the research object, both scheduling duration and resource requirement under the precedence constraint are optimized. The mathematical model of this multi-objective operation scheduling is established and solved using genetic algorithm. A fitness function which can be self-adaptively adjusted is designed; an adapting encoding strategy, a crossover operator, and …

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Serious Game Human-Computer Interaction Design For Rehabilitation Training, Jiajia Wu, Liu Zhen, Huihuang Xu, Tingting Liu, Wang Jin, Yanjie Chai Nov 2019

Serious Game Human-Computer Interaction Design For Rehabilitation Training, Jiajia Wu, Liu Zhen, Huihuang Xu, Tingting Liu, Wang Jin, Yanjie Chai

Journal of System Simulation

Abstract: Constructing a human-computer interaction environment which can effectively enhance users’ experiences of serious game. By integrating the rehabilitation training process into an interactive game story, users can do their mental and body rehabilitation training in the community. The prototype of the game is realized by the game engine. Experimental results showed that using mouse to roam in the system is easier than other interaction method and the somatosensory interaction is convenient for exercising the limb. By designing emoji for virtual characters, it is easy for users to learn other people's emotions and the comfortable distances for others. The results …

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Sliding Mode Auto Disturbance Rejection Control Of Pmsm Without Speed Sensor, Limin Hou, Yifu Ren, Hengfei Liu, Lin Dong Nov 2019

Sliding Mode Auto Disturbance Rejection Control Of Pmsm Without Speed Sensor, Limin Hou, Yifu Ren, Hengfei Liu, Lin Dong

Journal of System Simulation

Abstract: Aiming at the problem of parameter setting and response speed of the traditional ADRC method, a kind of novel sliding mode auto disturbance rejection speed controller is designed, and a sliding mode adaptive speed control system of PMSM without speed sensor is established. The nonlinear disturbance observer (NDOB) is used to replace the extended state observer (ESO) integrated disturbance estimation. The sliding mode control is introduced in the nonlinear state error feedback control; the sliding mode ADRC current controller and speed controller are designed; and the stability is proved by using Lyapunov theory. The rotor position and speed of …

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Trajectory Planning Method Of Overhead Crane, Xuejuan Shao, Li Yao, Jinggang Zhang, Xueliang Zhang Nov 2019

Trajectory Planning Method Of Overhead Crane, Xuejuan Shao, Li Yao, Jinggang Zhang, Xueliang Zhang

Journal of System Simulation

Abstract: To make the trolley of bridge crane move stably with smooth acceleration, a polynomial acceleration trajectory is proposed based on the constraint conditions of the crane and the friction between the trolley and the rail. An anti-swing plan is designed employing the dynamic coupling relationship between the motion of the trolley and the load swing. Results indicate that when the length of the rope is changed, the swing angle of the trolley is still within the limits. The stability of the system is proved by constructing Lyapunov energy equations, and the Barbalat lemma confirms that the planned reference trajectory …

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A New Memristor Chaotic System And Its Application In Image Encryption, Shuanghui Qu, Zhihong Yang, Xuwei Rong, Shuhua Wu Nov 2019

A New Memristor Chaotic System And Its Application In Image Encryption, Shuanghui Qu, Zhihong Yang, Xuwei Rong, Shuhua Wu

Journal of System Simulation

Abstract: A new memristor chaotic system is designed by the method of bringing an ion migration memristor into the Chen system equation. The basic dynamic characteristics of the memristive system are investigated via bifurcation, Lyapunov exponent et al, which proves the validity of the new system. The new memristor system is applied in the image encryption to improve the security of the encryption key. A dual encryption algorithm is used, which makes every pixel value of plaintext influence all pixel values of ciphertext. Although there is no direct link between plaintext and ciphertext, the sensibility of ciphertext varying with …

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Influence Of Composite Materials Surface Metal Mesh On Helicopter Lightning Stroke Effects, Junling Huang, Jiayu Xie Nov 2019

Influence Of Composite Materials Surface Metal Mesh On Helicopter Lightning Stroke Effects, Junling Huang, Jiayu Xie

Journal of System Simulation

Abstract: The metal wire mesh is usually adopted to prevent the lightning stroke on composite materials. The effects of different materials and different thickness of metal mesh on helicopter lightning electromagnetic effect are compared. According to the method recommended by SAE-ARP5416, a numerical simulation software is used for carrying out the high current injection simulation. The results show that the surface mount metal mesh can effectively reduce the harm of lightning electromagnetic coupling effect; the difference between aluminum and copper on anti-lightning stroke effect is not obvious; when the thickness of aluminum grid is less than 0.15 mm, the …

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Thai Language Names, Place Names And Organization Names Entity Recognition, Hongbin Wang, Hongkui Gao, Shen Qiang, Yantuan Xian Nov 2019

Thai Language Names, Place Names And Organization Names Entity Recognition, Hongbin Wang, Hongkui Gao, Shen Qiang, Yantuan Xian

Journal of System Simulation

Abstract: Named entity recognition in Thai language is aimed to identify the names of a person, a locality,an organization or an institution,and so on. Due to the complexity of Thai word formation method and grammar rules, to solve this problem, the idea of the approach proposed is to treat the task of named entity recognition in Thai language as labeling the sign of a series of words in Thai sentence. Given the characteristics of Thai language itself, certain features in the context of the samples in the Thai entity recognition corpus are extracted to train the hidden Markov model and …

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High-Dimensional Clustering Method Based On Variant Bat Algorithm, Kou Guang, Guangming Tang, Jiajing He, Hengwei Zhang Nov 2019

High-Dimensional Clustering Method Based On Variant Bat Algorithm, Kou Guang, Guangming Tang, Jiajing He, Hengwei Zhang

Journal of System Simulation

Abstract: With the advent of the era of big data, the information resource is growing rapidly, and the data are becoming high-dimensional. Traditional clustering methods have a good effect for low-dimensional data, but no longer apply to high-dimensional data. On the basis of existing high-dimensional clustering algorithm, a high-dimensional clustering algorithm based on intelligent optimization SSC-BA is proposed. A novel objective function is designed, which integrates the fuzzy weighting within-cluster compactness and the between-cluster separation. A variant bat algorithm is introduced to calculate the weight matrix, giving the new learning rules. Simulation experiments are made for the proposed algorithm, and …

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Auditor: An R Package For Model-Agnostic Visual Validation And Diagnostics, Alicja Gosiewska, Przemysław Biecek Nov 2019

Auditor: An R Package For Model-Agnostic Visual Validation And Diagnostics, Alicja Gosiewska, Przemysław Biecek

The R Journal

Machine learning models have successfully been applied to challenges in applied in biology, medicine, finance, physics, and other fields. With modern software it is easy to train even a complex model that fits the training data and results in high accuracy on test set. However, problems often arise when models are confronted with the real-world data. This paper describes methodology and tools for model-agnostic auditing. It provides functinos for assessing and comparing the goodness of fit and performance of models. In addition, the package may be used for analysis of the similarity of residuals and for identification of outliers and …

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An Extensible Geospatial Data Framework (Geoedf) For Fair Science, Carol Song, Rajesh Kalyanam, Lan Zhao Nov 2019

An Extensible Geospatial Data Framework (Geoedf) For Fair Science, Carol Song, Rajesh Kalyanam, Lan Zhao

Purdue GIS Day

The growing urgency in dealing with the 21st century’s grand challenges associated with increasing population, food and water security, frequently occurring natural disasters, and changing climate demands innovative, collaborative, and multidisciplinary solutions for sustainability and resilience. However, scientific data, especially geospatial data, presents significant barriers to the effective access, use and sharing of data as they come in large volumes, from different sources, and with widely varying formats, resolutions, or annotation schemas that can differ among disciplines or even research groups. This presentation describes a recently funded NSF CSSI project to develop an open source, extensible geospatial data framework (GeoEDF), …

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Estimating Glycemic Impact Of Cooking Recipes Via Online Crowdsourcing And Machine Learning, Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney Nov 2019

Estimating Glycemic Impact Of Cooking Recipes Via Online Crowdsourcing And Machine Learning, Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney

Research Collection School Of Computing and Information Systems

Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive. In this paper, we explore a data-driven approach utilizing online crowdsourcing and machine learning to estimate the glycemic impact of cooking recipes. We show that a commonly used healthiness metric may not always be effective in determining recipes suitable for diabetics, thus emphasizing the importance of the glycemic-impact estimation task. Our best classification model, trained on nutritional and crowdsourced data obtained from Amazon Mechanical Turk (AMT), can …

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Stressmon: Scalable Detection Of Perceived Stress And Depression Using Passive Sensing Of Changes In Work Routines And Group Interactions, Nur Camellia Binte Zakaria, Rajesh Balan, Youngki Lee Nov 2019

Stressmon: Scalable Detection Of Perceived Stress And Depression Using Passive Sensing Of Changes In Work Routines And Group Interactions, Nur Camellia Binte Zakaria, Rajesh Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

Stress and depression are a common affliction in all walks of life. When left unmanaged, stress can inhibit productivity or cause depression. Depression can occur independently of stress. There has been a sharp rise in mobile health initiatives to monitor stress and depression. However, these initiatives usually require users to install dedicated apps or multiple sensors, making such solutions hard to scale. Moreover, they emphasise sensing individual factors and overlook social interactions, which plays a significant role in influencing stress and depression while being a part of a social system. We present StressMon, a stress and depression detection system that …

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Aspect And Opinion Aware Abstractive Review Summarization With Reinforced Hard Typed Decoder, Yufei Tian, Jianfei Yu, Jing Jiang Nov 2019

Aspect And Opinion Aware Abstractive Review Summarization With Reinforced Hard Typed Decoder, Yufei Tian, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study abstractive review summarization. Observing that review summaries often consist of aspect words, opinion words and context words, we propose a two-stage reinforcement learning approach, which first predicts the output word type from the three types, and then leverages the predicted word type to generate the final word distribution. Experimental results on two Amazon product review datasets demonstrate that our method can consistently outperform several strong baseline approaches based on ROUGE scores.

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Gender And Racial Diversity In Commercial Brands' Advertising Images On Social Media, Jisun An, Haewoon Kwak Nov 2019

Gender And Racial Diversity In Commercial Brands' Advertising Images On Social Media, Jisun An, Haewoon Kwak

Research Collection School Of Computing and Information Systems

Gender and racial diversity in the mediated images from the media shape our perception of different demographic groups. In this work, we investigate gender and racial diversity of 85,957 advertising images shared by the 73 top international brands on Instagram and Facebook. We hope that our analyses give guidelines on how to build a fully automated watchdog for gender and racial diversity in online advertisements.

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