Modified Sparse Quasi - Newton Algorithm For Electrical Capacitance Tomography System,
2019
College of Information and Computer Engineering of Northeast Forestry University, Harbin 150040, China;
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 …
Dynamic Data Reserved Modeling Method Based On Steady-State Component Estimation And State Tracking,
2019
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China;
Dynamic Data Reserved Modeling Method Based On Steady-State Component Estimation And State Tracking, Dong Ze, Erxin Yin
Journal of System Simulation
Abstract: Aiming at the existing problems of conventional industrial system modeling methods, a dynamic data reserved modeling method based on steady-state component estimation and state tracking is proposed. The dynamic response data of the system is selected as the modeling data. The input value at the end of the selected data is chosen as steady-state component, and the steady-state component value of output is artificial given. Steady-state component of the modeling data is removed according to the steady-state component of input and output, and the modeling data is divided into three sections. The prediction model and the state observer are …
Adaptively Resampling 3d Mesh Models Based On Editable Features,
2019
1. Institute of EduInfo Science & Engineering, Nanjing Normal University, Nanjing 210097, China; ;
Adaptively Resampling 3d Mesh Models Based On Editable Features, Jiajia Dai, Lipeng Fan, Mingyong Pang
Journal of System Simulation
Abstract: We propose a hybrid algorithm for adaptively resampling 3D triangulations by user-defined editable features. The method parameterizes a 3D mesh model into 2D parameter plane, and the geometric properties of the original model is calculated and represented on a planar domain. According to a constructed geometric image of the original model and user-defined editing information, the method creates a global density function for the resampled model. The sampling density function is employed to control distribution of samples in the 2D parameter domain. The method uses centroidal Voronoi tessellation technique to further optimize local distribution of the sampled points. The …
Design Method Of Tactical Level Hexagonal Wargame Map,
2019
Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China;
Design Method Of Tactical Level Hexagonal Wargame Map, Fen Tang, Zhang Xin, You Xiong, Zhiqiang Wu, Kunwei Li
Journal of System Simulation
Abstract: Wargame map is an indispensable component of wargame. The current research on wargame map focused itself on the hexagonal grid segmentation, the terrain quantization models and relevant algorithms, and the technical realization of the application algorithm based on wargame map. However, the wargame map design is inadequate in corresponding instructions and methods. Therefore, based on the traditional map design method and fully taking into account the characteristics of the army tactical level hexagonal wargame map, the principle and process of army tactical level hexagonal wargame map design are proposed, and the critical steps in the process of the wargame …
Remote Real-Time Rendering System Based On Graphics Cluster,
2019
1. Space Engineering University, Beijing 101416, China; ;2. Joint Operations College, National Defense University, Beijing 100091, China; ;
Remote Real-Time Rendering System Based On Graphics Cluster, Haiyang Liu, Xiaofeng Hu, Lei Xu
Journal of System Simulation
Abstract: In order to solve the problems of rendering application for many remote users with different requirements, according to the multi-user oriented asynchronous distributed application mode in graphics cluster environment, a general framework of remote real-time rendering system based on graphics cluster is proposed, and the main functional modules are designed. The integrated application of key technologies, including GPU rendering based on Docker, dynamic load balancing and real-time transmission control of images, is analyzed. The effectiveness of system solution is demonstrated by concrete examples.
Multi-Objective Operation Scheduling Optimization Of Shipborne-Equipment Based On Genetic Algorithm,
2019
Donghua University, Shanghai 201600, China;
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 …
Dbn Method For Risk Assessment Of Dairy Products Cold Chain Logistics,
2019
1. Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China; ;2. Logistics and Supply Chain Risk Control Research Center, Shanghai Maritime University, Shanghai 201306, China; ;3. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;
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 …
Lpv Controller Design Of Wind Turbine With Maximum Power Point Tracking,
2019
Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China;
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 …
Trajectory Planning Method Of Overhead Crane,
2019
1. School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China; ;
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 …
Spatial Spectrum Estimation Method Of Flank Twin-Line Array Based On Cross-Spectrum Correlation,
2019
1. Navy Submarine Academy, Qingdao 266100, China; ;
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 …
Influence Of Composite Materials Surface Metal Mesh On Helicopter Lightning Stroke Effects,
2019
Aviation Engineering Institute, Civil Aviation Flight University of China, Guanghan 618307, China;
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 …
Thai Language Names, Place Names And Organization Names Entity Recognition,
2019
1.College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; ;2. Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming 650500, China;
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 …
Multi-Seats Collaborative Task Planning Based On Improved Particle Swarm Optimization,
2019
1. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China; ;
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 …
High-Dimensional Clustering Method Based On Variant Bat Algorithm,
2019
1. The PLA Information Engineering University, Zhengzhou 450001, China; ;2. Science and Technology on Information Assurance Laboratory, Beijing 100072, China;
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 …
Virtual Wrap-Up Presentation: Digital Libraries, Intelligent Data Analytics, And Augmented Description,
2019
University of Nebraska - Lincoln
Virtual Wrap-Up Presentation: Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
School of Computing: Conference and Workshop Papers
Includes framing, overview, and discussion of the explorations pursued as part of the Digital Libraries, Intelligent Data Analytics, and Augmented Description demonstration project, pursued by members of the Aida digital libraries research team at the University of Nebraska-Lincoln through a research services contract with the Library of Congress. This presentation covered: Aida research team and background for the demonstration project; broad outlines of “Digital Libraries, Intelligent Data Analytics, and Augmented Description”; what changed for us as a research team over the collaboration and why; deliverables of our work; thoughts toward “What next”; and deep-dives into the explorations. The machine learning …
Evaluating Conversation Agent Impact On Student Experience In A Distance Education Course,
2019
University of South Florida
Evaluating Conversation Agent Impact On Student Experience In A Distance Education Course, Grover Walters
USF Tampa Graduate Theses and Dissertations
We explore the efficacy of conversation agents operating as an instructional aid in a distance education course. Two aspects of efficacy are considered—conversation agent impact on student perceptions of the experience, and how different design features of the agent affect student perceptions of engagement. Evaluation of the agent is accomplished by collecting data from 24 undergraduate participants separated into random groups. We conduct two rounds of mixedmethod evaluation. Between the two rounds, a modification to the agent occurs based on the outcome of the first evaluation. Findings include limitations related to phrasing and data persistence features of the design that …
A Co-Optimal Coverage Path Planning Method For Aerial Scanning Of Complex Structures,
2019
University of Nebraska - Lincoln
A Co-Optimal Coverage Path Planning Method For Aerial Scanning Of Complex Structures, Zhexiong Shang, Justin Bradley, Zhigang Shen
Department of Construction Engineering and Management: Faculty Publications
The utilization of unmanned aerial vehicles (UAVs) in survey and inspection of civil infrastructure has been growing rapidly. However, computationally efficient solvers that find optimal flight paths while ensuring high-quality data acquisition of the complete 3D structure remains a difficult problem. Existing solvers typically prioritize efficient flight paths, or coverage, or reducing computational complexity of the algorithm – but these objectives are not co-optimized holistically. In this work we introduce a co-optimal coverage path planning (CCPP) method that simultaneously co-optimizes the UAV path, the quality of the captured images, and reducing computational complexity of the solver all while adhering to …
Twitter And The Magic Pony,
2019
Singapore Management University
Twitter And The Magic Pony, Singapore Management University
Perspectives@SMU
London-based Magic Pony went from A.I. startup to a multimillion dollar cash-out in 18 months. Was selling to Twitter the right exit strategy?
What Do You Mean? Research In The Age Of Machines,
2019
Murray State University
What Do You Mean? Research In The Age Of Machines, Arthur J. Boston
Faculty & Staff Research and Creative Activity
What Do You Mean?” was an undeniable bop of its era in which Justin Bieber explores the ambiguities of romantic communication. (I pinky promise this will soon make sense for scholarly communication librarians interested in artificial intelligence [AI].) When the single hit airwaves in 2015, there was a meta-debate over what Bieber meant to add to public discourse with lyrics like “What do you mean? Oh, oh, when you nod your head yes, but you wanna say no.” It is unlikely Bieber had consent culture in mind, but the failure of his songwriting team to take into account that some …
Resource Characterisation Of Personal-Scale Sensing Models On Edge Accelerators,
2019
Singapore Management University
Resource Characterisation Of Personal-Scale Sensing Models On Edge Accelerators, Mattia Antonini, Tran Huy Vu, Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar
Student Publications
Edge accelerator is a class of brand-new purpose-built System On a Chip (SoC) for running deep learning models efficiently on edge devices. These accelerators offer various benefits such as ultra-low latency, sensitive data protection, and high availability due to their locality and are opening up interminable opportunities for building sensory systems in the real world. Naturally, in the context of sensory awareness systems, e.g., IoT, wearables, and other sensory devices, the emergence of edge accelerators is pushing us to rethink how we design these systems at a personal-scale. To this end, in this paper we take a closer look at …
