Physical Sciences and Mathematics Commons^™

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 …

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 …

Ti-A* Based Multi-Robot Dynamic Planning And Coordination Method, Zhao Ping, Xinyu Lei, Bozhi Chen, Jiaoyun Yang

Journal of System Simulation

Abstract: Multiple robots path planning problem in dynamic environment is one of the significant and basic problems of cluster robot perception and coordination. The planning problem is decomposed into two modules: the path planning and the conflict coordination. By introducing time-cost function, the Time Integrated A* algorithm (TI-A*) is introduced. Variable speed is employed simultaneously to coordinate the motion and hereby to avoid the deadlock and conflict. By adjusting the timing when the coordination phase is involved, two different coordination TI-A* algorithms are presented, including the speed-changing algorithm and path-changing algorithm. The two algorithms are compared and the respective …

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 …

Simulation Analysis Of Vehicle Electromagnetic Environment Under Excitation Of Vhf Antenna, Xiaoying Sun, Hanqing Wang, Jinpeng Yang, Zhao Yu

Journal of System Simulation

Abstract: Aiming at the issue of distribution regularity of field strength in vehicle cab under excitation of vehicle-borne high-power VHF antenna, a method of numerical simulation combining with extreme value theory to predict maximum field strength is proposed, which minimizes sample collecting difficulty and fitting deviation. CST simulation software is applied to get field strength sample in vehicle cab, and generalized extreme value (GEV) is used to fitting entire field strength distribution. peak over threshold (POT) model based on Generalized Pareto distribution is used to research high field strength value sample statistical characteristics. Resultsshow that under antenna excitation of 92.5 …

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 …

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 …

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 …

Tests Of General Relativity With The Binary Black Hole Signals From The Ligo-Virgo Catalog Gwtc-1, Tiffany Summerscales, Ligo Scientific Collaboration And The Virgo Collaboration

Faculty Publications

The detection of gravitational waves by Advanced LIGO and Advanced Virgo provides an opportunity to test general relativity in a regime that is inaccessible to traditional astronomical observations and laboratory tests. We present four tests of the consistency of the data with binary black hole gravitational waveforms predicted by general relativity. One test subtracts the best-fit waveform from the data and checks the consistency of the residual with detector noise. The second test checks the consistency of the low- and high-frequency parts of the observed signals. The third test checks that phenomenological deviations introduced in the waveform model (including in …

Integrated Simulation Optimization Of Hard Shoulder Running Combined With Speed Harmonization, Ruimin Li, Ye Zhen, Bin Li

Journal of System Simulation

Abstract: We have a study on hard shoulder running (HSR) combined with speed harmonization. The breakdown events were screened out during the study period from massive detector data. The impact of hard shoulder volume on breakdown probabilities was analyzed. The nonparametric breakdown probabilities distribution model and logistic regression model were put forward based on highway mainline traffic volume, hard shoulder volume and ramp volume from the study case which was divided into three factors-basic segment, on-ramp merging segment and off-ramp diverging segment. The speed harmonization and HSR were optimized through reducing the traffic breakdown probabilities of a congested traffic network. …

Error Control On Unequal Diameter Machining Of Arc Surface Cam, Hu Dongfang, Jianwei Guo

Journal of System Simulation

Abstract: The effective control for the machining error is an important means for obtaining high precision and high efficiency of the unequal diameter profile machining of the arc surface cam. According to the space meshing principle and the rotation transformation tensor method, the contact line between the tool and the cam is analyzed; the cutter position offset and direction in the machining process are calculated. The actual working profile of the unequal diameter machining cam equation is established. Calculation method of normal error of globoid cam profile is deduced by the principle of differential geometry. The comparison between the …

Optimum Design For Crankshaft Of Mud Pump Based On Response Surface Model, Liu Jun, Zhang Hong, Huang Hua, Chang Ping

Journal of System Simulation

Abstract: The mud pump is the heart of an oil rig, and the crankshaft is one of the key components of the mud pump. To achieve the lightweight structural design of the mud pump, it is very important to optimize the structure of the crankshaft. The model is simplified and the structure is analyzed theoretically. The optimization module is used to optimize the parameters;and the response surface model is established. The multi-objective genetic algorithm is used to optimize the design; and the scheme of slotting on the crankshaft flange is put forward according to the production process. Through the simulation …

Travel Time Reliability Of Inside Area Of Roundabouts, Yuzhou Duan, Tingting Chai, Jian Jie

Journal of System Simulation

Abstract: Based on the travel time reliability, this paper analyzes the traffic states in the inside area of the roundabout. The travel time reliability model is established from three aspects: route path, entrance and system, and the practicability of the model is verified by the VISSIM simulation. On this basis, the correlation analysis is made on between the adjacent paths of the same entrance and adjacent paths of the adjacent entrances, and the fitting equations are obtained. Taking the number of lanes, traffic volumes, proportion of left-turns and the rate of heavy vehicles as variables, a sensitivity analysis …

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.

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 …

Parameter Matching Optimization Of Pure Electric Vehicle Based On Firefly Algorithm, Li Yan, Yigang He

Journal of System Simulation

Abstract: According to the design requirements and technical index of pure electric vehicle, the parameters of motor and battery related to power and economic performance are selected based on the computing results. Based on ADVISOR, a vehicle model of pure electric vehicle is established in MATLAB environment with the corresponding parameters validating the simulation results. On this basis, the multi-objective function is established, which includes the power performance, economic performance and cost price. This function is optimized by the firefly algorithm, which makes the dynamic parameters, the dynamic performance and economy performance of pure electric vehicle be improved significantly and …

Comparison And Analysis Of Output Performance Of Different Pv Structures Under Shadows, Yonghong Xia, Mengru Li, Jianbo Xin, Zen Fanpeng, Yunjun Yu

Journal of System Simulation

Abstract: The output power of PV array not only depends on the irradiance intensity of the partial shadows, but also on the shadows shape. For the serious power loss under partial shadows of the traditional SP (Series-Parallel) and TCT (Total-Cross-Tied) structures, an optimized TCT structure is proposed. Output capacity comparison was made based on the three structures in five shadow modes under the circumstances of the severe shadows and uneven irradiation. By using Matlab/ Simulink software, the output performance of the three structures was simulated under different shadow shapes in symmetrical and asymmetric arrays. The results show that PV array …

Modified Sparse Quasi - Newton Algorithm For Electrical Capacitance Tomography System, Chen Yu, Zongji Xia, Yujia Zhou

Journal of System Simulation

Abstract: To solve the 'soft-field' nature and the ill-posed problem in electrical capacitance tomography technology, a modified sparse quasi - newton algorithm for electrical capacitance tomography is presented. The mathematical model of modified sparse quasi - newton is derived. The final iteration formula of modified sparse quasi - newton used to adjust the inverse problem solving of the capacitance tomography image reconstruction is given. An iterative formula for ECT inverse problem solving is used for digital simulation experiment. The simulation experiment results are compared with the results of LBP, Landweber, CG, SD, and so on. The results of the analysis …

Spatial Spectrum Estimation Method Of Flank Twin-Line Array Based On Cross-Spectrum Correlation, Zhizhong Li, Wang Sen, Zhongliang Xu, Weiguo Dai, Qijun Liu

Journal of System Simulation

Abstract: Considering the structural features of the flank twin-line array, researches on spatial spectrum estimation of twin-line array based on adaptive beam-forming and cross-spectrum correlation were carried out. A spatial spectrum estimation method based on cross-spectrum correlation is proposed according to the theory of cross-spectrum. The study of spectrum estimation performance comparison of the twin-line array was finished by that method combined with the conventional beam-forming and the adaptive beam-forming respectively. The results prove that the method based on cross-spectrum correlation has a better capability in noise suppression; and the method, which combined adaptive beam-forming with cross-spectrum correlation, is the …

Meps Data Assimilation System, Robert W. Schunk, Larry Gardner

Browse all Datasets

For the current funding opportunity we propose to develop a master system that will enhance the user interface to the MEPS model and enable the scientific community to efficiently use the model. Furthermore, we will build and automate validation tools and improve the efficiency and robustness of the MEPS ensemble averaging scheme. Finally, we will explore the nest step toward a major advancement in MEPS b significantly improving the spatial resolution of one of the data assimilation models to explore meso- and small-scale features.

Influence Of Land Cover And Soil Moisture Based Brown Ocean Effect On An Extreme Rainfall Event From A Louisiana Gulf Coast Tropical System, Udaysankar S. Nair, Eric Rappin, Emily Foshee, Warren Smith, Roger A. Pielke Sr., Rezaul Mamood, Jonathan L. Case, Clay B. Blankenship, Marshall Shepherd, Joseph A. Santanello, Dev Niyogi

School of Natural Resources: Faculty Publications

Extreme flooding over southern Louisiana in mid-August of 2016 resulted from an unusual tropical low that formed and intensified over land. We used numerical experiments to highlight the role of the ‘Brown Ocean’ effect (where saturated soils function similar to a warm ocean surface) on intensification and it’s modulation by land cover change. A numerical modeling experiment that successfully captured the flood event (control) was modified to alter moisture availability by converting wetlands to open water, wet croplands, and dry croplands. Storm evolution in the control experiment with wet antecedent soils most resembles tropical lows that form and intensify over …

Feasibility Of Multi-Year Forecast For The Colorado River Water Supply: Time Series Modeling, Brian Plucinski, Yan Sun, Shih-Yu (Simon) Wang, Robert R. Gilies, James Eklund, Chih-Chia Wang

Mathematics and Statistics Faculty Publications

The future of the Colorado River water supply (WS) affects millions of people and the US economy. A recent study suggested a cross-basin correlation between the Colorado River and its neighboring Great Salt Lake (GSL). Following that study, the feasibility of using the previously developed multi-year prediction of the GSL water level to forecast the Colorado River WS was tested. Time-series models were developed to predict the changes in WS out to 10 years. Regressive methods and the GSL water level data were used for the depiction of decadal variability of the Colorado River WS. Various time-series models suggest a …

Climate Change And Human Rights: Shaping The Narrative For Reflexive Responses From Civilization’S Leadership To Counter And Abate Climate Change And Enhance The Role Of Human Rights In The Rule Of Law, Michael Donlan

New England Journal of Public Policy

This article offers a bold new legal process for enhancing and upgrading the rule of law to enable civilization to cope with and counter the mounting damage and injustice caused by climate change. Climate change, once an unimaginable threat, is now a brutal, ubiquitous game changer that is leading inexorably to the demise of all humanity. Only by enhancing the rule of law and melding international law with domestic law can civilization fashion a coherent, global action plan for survival.

For almost three centuries greenhouse gases have been emitted around the world by the burning of fossil fuel, and—most alarming—these …

Distributive Laws In Residuated Binars, Wesley Fussner, Peter Jipsen

Mathematics, Physics, and Computer Science Faculty Articles and Research

In residuated binars there are six non-obvious distributivity identities of ⋅,/,∖ over ∧,∨. We show that in residuated binars with distributive lattice reducts there are some dependencies among these identities; specifically, there are six pairs of identities that imply another one of these identities, and we provide counterexamples to show that no other dependencies exist among these.

Salty Sensors, Fresh Ideas: The Use Of Molecular And Imaging Sensors In Understanding Plankton Dynamics Across Marine And Freshwater Ecosystems, Trisha Lyn Spanbauer, Christian Briseno-Avena, Kathleen Johnson Pitz, Elizabeth A. Suter

Faculty Works: BCES (1999-2023)

Understanding plankton dynamics in marine ecosystems has been advanced using in situ molecular and imaging instrumentation. A range of research objectives have been addressed through high‐resolution autonomous sampling, from food web characterization to harmful algal bloom dynamics. When used together, molecular and imaging sensors can cover the full‐size range, genetic identity, and life stages of plankton. Here, we briefly review a selection of in situ instrumentation developed for the collection of molecular and imaging information on plankton communities in marine ecosystems. In addition, we interviewed a selection of instrumentation developers to determine if the transfer of sensor technology from marine …

Modeling Response Of Water Quality To Land-Use And Climate Change In Lake Auburn, Me, Nicholas Messina

Electronic Theses and Dissertations

Lake Auburn, Maine, USA, is a historically unproductive lake that has experienced multiple algal blooms since 2011. The lake is the water supply source for a population of ~60,000. We modeled past temperature, and concentrations of dissolved oxygen (DO) and phosphorus (P) in Lake Auburn by considering the watershed and internal contributions of P as well as atmospheric factors, and predicted the change in lake water quality in response to future climate and land-use changes. A stream hydrology and P-loading model (SimplyP) was used to generate input from two major tributaries into a lake model (MyLake) to simulate physical mixing, …

Tests Of General Relativity With The Binary Black Hole Signals From The Ligo-Virgo Catalog Gwtc-1, B. P. Abbott, S. Mukherjee

Physics and Astronomy Faculty Publications and Presentations

The detection of gravitational waves by Advanced LIGO and Advanced Virgo provides an opportunity to test general relativity in a regime that is inaccessible to traditional astronomical observations and laboratory tests. We present four tests of the consistency of the data with binary black hole gravitational waveforms predicted by general relativity. One test subtracts the best-fit waveform from the data and checks the consistency of the residual with detector noise. The second test checks the consistency of the low- and high-frequency parts of the observed signals. The third test checks that phenomenological deviations introduced in the waveform model (including in …

The Complete Mitochondrial Genome Of Tanacetipathes Thamnea Warner, 1981 (Antipatharia: Myriopathidae), Diego F. Figueroa, David Hicks, Nicole J. Figueroa

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Specimens of the black coral Tanacetipathes thamnea were collected from the Northwestern Gulf of Mexico. The complete mitochondrial genome of one of these specimens was obtained from genomic DNA by next-generation sequencing technology on the Illumina HiSeq 2500. Only three species of black corals have a completely sequenced mitochondrial genome. These were used to reconstruct the phylogeny for the order Antipatharia. The mitochondrial genome of T. thamnea is 17,712 base pairs and contains 13 protein-coding genes, 2 ribosomal RNAs, and 2 transfer RNAs in the following order: 16s RNA, COX3, COX1 (with intron), ND4L, COX2, ND4, …

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Why Build Multi-Use Greenways? Implications For New Jersey And Beyond, R. Bruce Donald

Sustainability Seminar Series

In this presentation, Bruce Donald will explain comprehensive research that investing in bicycle/pedestrian infrastructure has numerous benefits including public health, reduced transportation costs, increased access to reliable transportation, tourism, improved local economy, reduced user mortality rates, and environmental benefits. Solutions include developing a comprehensive pedestrian and bicycle network, as well as improving access to these facilities by all of New Jersey’s residents and its visitors. Investing in bicycle infrastructure is at the forefront of twenty-first-century economic development.