Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 55261 - 55290 of 197515

Full-Text Articles in Engineering

Supporting Bridge Management With Advanced Analysis And Machine Learning, Joshua Steelman, Francisco Garcia Sep 2020

Supporting Bridge Management With Advanced Analysis And Machine Learning, Joshua Steelman, Francisco Garcia

Nebraska Department of Transportation: Research Reports

A supplemental Artificial Neural Network (ANN)-based tool was developed to support the Nebraska Department of Transportation (NDOT) in optimizing bridge management investments when choosing between refined modeling, field testing, retrofitting, or bridge replacement. Load ratings typically increase by approximately 15% to 20% when using detailed finite element analysis (FEA) instead of AASHTO approximate analysis methods. The ANN tool is implemented in an Excel spreadsheet to accept ten input parameters readily available to NDOT engineers performing typical load ratings, and predicts FEA- equivalent critical girder distribution factors (GDFs), removing unnecessary conservativism from approximate AASHTO GDFs, potentially justifying load posting removal for …

Go to article

Chitosan Beads As The Adsorbent For Glyphosate Removal From An Aqueous Solution, Thanat Saelim, Sermpong Sairiam, Krisana Siralertmukul, Supawin Watcharamul, Roongkan Nuisin Sep 2020

Chitosan Beads As The Adsorbent For Glyphosate Removal From An Aqueous Solution, Thanat Saelim, Sermpong Sairiam, Krisana Siralertmukul, Supawin Watcharamul, Roongkan Nuisin

Journal of Metals, Materials and Minerals

Chitosan beads were prepared to remove glyphosate from an aqueous solution via a batch adsorption system. The optimum conditions, including initial glyphosateconcentration, adsorbent dose, and contact time, were investigated. Increasing the initial glyphosate concentration increased the equilibrium adsorption capacity onto the chitosan beads. The rapid sorption of glyphosate was found at an initial contact time of 30 min. The maximum adsorption capacity from 35 mg·L-1 glyphosate in solution onto 0.1 g chitosan beads was 12.7 mg·g-1. Increasing amount chitosan to 0.5 g dosage could remove more than 94% of the glyphosate for all initial glyphosate concentrations (1 - 35 mg·L-1), …

Go to article

Microstructure Evolution And Mechanical Properties Of Calcined Kaolin Processing Waste-Based Geopolymers In The Presence Of Different Alkaliactivator Content By Pressing And Casting, Sitthisak Prasanphan, Anucha Wannagon, Takaomi Kobayashi, Sirithan Jiemsirilers Sep 2020

Microstructure Evolution And Mechanical Properties Of Calcined Kaolin Processing Waste-Based Geopolymers In The Presence Of Different Alkaliactivator Content By Pressing And Casting, Sitthisak Prasanphan, Anucha Wannagon, Takaomi Kobayashi, Sirithan Jiemsirilers

Journal of Metals, Materials and Minerals

In this work, microstructure evolution and mechanical properties of calcined kaolin processing waste-based geopolymers in the presence of low and high contents alkali activators were studied. Lower and higher contents of alkali activators were employed to synthesize geopolymers by pressing and casting methods, respectively. Chemicalbonding analysis, microstructure/elemental analysis, phase composition analysis, and compressive strength test were performed using FTIR, SEM/EDX, XRD, anduniversal mechanical testing machine, respectively. Findings showed that geopolymer with the low content of alkali activator formed by pressing (pressed geopolymer) might promote in the higher degree of geopolymerization because of higher compacted matrices but geopolymer with the high …

Go to article

Discover Influential Mental Workload Attributes Impacting Learners Performance In Third-Level Education, Amisha Mehta Sep 2020

Discover Influential Mental Workload Attributes Impacting Learners Performance In Third-Level Education, Amisha Mehta

Dissertations

Human Mental Workload is an intervening variable and a fundamental concept in the discipline of Ergonomics. It is deduced from variations in performance. High or low mental workload leads to hampering of performance. Mental workload in an educational setting has been extensively researched. It is applied in instructional design but it is obscure as to which factors are majorly driving mental workload in learners. This dissertation investigates the importance of the features used in the the NASA-Task Load Index mental workload assessment instrument and their impact on the performance of learners as assessed by multiple-choice tests conducted in classrooms of …

Go to article

Strategic Decision Facilitation: Supporting Critical Assumptions Of The Human In Empirical Modeling Of Pairwise Value Comparisons, Joseph P. Kristbaum, Frank W. Ciarallo Sep 2020

Strategic Decision Facilitation: Supporting Critical Assumptions Of The Human In Empirical Modeling Of Pairwise Value Comparisons, Joseph P. Kristbaum, Frank W. Ciarallo

Faculty Publications

Modeling human decision-making is difficult. Decision-makers are typically primed with unique biases that widen the confidence interval of judgment. Therefore, it is important that the human process in the system being modeled is designed to alleviate damaging biases and assumptions in an effort to increase process consistency between decision-makers. In this experiment, it is hypothesized that coupling specific decision-facilitation methods with a specific scale range will affect the consistency between decision-makers. This article presents a multiphase experiment that examines a varying presentation mode as well as scale range to determine how value is determined in subsequent pairwise comparisons of alternatives …

Go to article

Direct Digital Synthesis: A Flexible Architecture For Advanced Signals Research For Future Satellite Navigation Payloads, Pranav R. Patel Sep 2020

Direct Digital Synthesis: A Flexible Architecture For Advanced Signals Research For Future Satellite Navigation Payloads, Pranav R. Patel

Theses and Dissertations

In legacy Global Positioning System (GPS) Satellite Navigation (SatNav) payloads, the architecture does not provide the flexibility to adapt to changing circumstances and environments. GPS SatNav payloads have largely remained unchanged since the system became fully operational in April 1995. Since then, the use of GPS has become ubiquitous in our day-to-day lives. GPS availability is now a basic assumption for distributed infrastructure; it has become inextricably tied to our national power grids, cellular networks, and global financial systems. Emerging advancements of easy to use radio technologies, such as software-defined radios (SDRs), have greatly lowered the difficulty of discovery and …

Go to article

Chronos Spacecraft With Chiron Probe: Exploration Of The Hydrosphere, Principle Satellites, Atmosphere, And Rings Of Uranus, Payton E. Pearson Sep 2020

Chronos Spacecraft With Chiron Probe: Exploration Of The Hydrosphere, Principle Satellites, Atmosphere, And Rings Of Uranus, Payton E. Pearson

Theses and Dissertations

A design reference mission using more modern technological innovations has been developed for exploration of the outer reaches of our Solar System, specifically Uranus and its system of satellites. This mission will utilize theoretical technologies mostly without regard to their current technological readiness level (TRL), though most systems have a TRL of at least 5. The primary innovations explored in this thesis are the new launch systems that provide far greater payload capacity potentially sent to anywhere in the Solar System, new Stirling-engine radioisotope thermoelectric generators (SRTGs), vastly improved data storage technologies, optimized satellite antenna relay of data using much …

Go to article

Operationalized Intent For Improving Coordination In Human-Agent Teams, Michael F. Schneider Sep 2020

Operationalized Intent For Improving Coordination In Human-Agent Teams, Michael F. Schneider

Theses and Dissertations

With the increasing capabilities of artificial intelligent agents (AIAs) integrated into multi-agent systems, future concepts include human-agent teams (HATs) in which the members perform fluidly as a coordinated team. Research on coordination mechanisms in HATs is largely focused on AIAs providing information to humans to coordinate better (i.e. coordination from the AIA to the human). We focus on the compliment where AIAs can understand the operator to better synchronize with the operator (i.e. from the human to the AIA). This research focuses specifically on AIA estimation of operator intent. We established the Operationalized Intent framework which captures intent in a …

Go to article

Joint 1d And 2d Neural Networks For Automatic Modulation Recognition, Luis M. Rosario Morel Sep 2020

Joint 1d And 2d Neural Networks For Automatic Modulation Recognition, Luis M. Rosario Morel

Theses and Dissertations

The digital communication and radar community has recently manifested more interest in using data-driven approaches for tasks such as modulation recognition, channel estimation and distortion correction. In this research we seek to apply an object detector for parameter estimation to perform waveform separation in the time and frequency domain prior to classification. This enables the full automation of detecting and classifying simultaneously occurring waveforms. We leverage a lD ResNet implemented by O'Shea et al. in [1] and the YOLO v3 object detector designed by Redmon et al. in [2]. We conducted an in depth study of the performance of these …

Go to article

Inversion Modeling Of Japonica Rice Canopy Chlorophyll Content With Uav Hyperspectral Remote Sensing, Yingli Cao, Kailun Jiang, Jingxian Wu, Fenghua Yu, Wen Du, Tongyu Xu Sep 2020

Inversion Modeling Of Japonica Rice Canopy Chlorophyll Content With Uav Hyperspectral Remote Sensing, Yingli Cao, Kailun Jiang, Jingxian Wu, Fenghua Yu, Wen Du, Tongyu Xu

Electrical Engineering Faculty Publications and Presentations

Chlorophyll content is an important indicator of the growth status of japonica rice. The objective of this paper is to develop an inversion model that can predict japonica rice chlorophyll content by using hyperspectral image of rice canopy collected with unmanned aerial vehicle (UAV). UAV-based hyperspectral remote sensing can provide timely and cost-effective monitoring of chlorophyll content over a large region. The study was based on hyperspectral data collected at the Shenyang Agricultural College Academician Japonica Rice Experimental Base in 2018 and 2019. In order to extract the salient information embedded in the high-dimensional hyperspectral data, we first perform dimension …

Go to article

Large Signal Modeling For Llc Resonant Converter, Zheng Kai, Jianbing Li, Zhou Dongfang, Li Kai, Songzhen Zhang Sep 2020

Large Signal Modeling For Llc Resonant Converter, Zheng Kai, Jianbing Li, Zhou Dongfang, Li Kai, Songzhen Zhang

Journal of System Simulation

Abstract: The large-signal model modeling issue of LLC resonant converter was dealt with by using averaged large-signal modeling method, on the basis of a full-bridge LLC voltage-multiplying resonant converter. The SSOC (self-sustained oscillation controller) was analyzed, and the operation mode of LLC resonant converter under the SSOC mode was investigated. The nonlinear state space model of LLC resonant converter was established by analyzing linear approximation of nonlinear terms and harmonic balance, and the averaged large-signal model of LLC resonant converter was proposed. Two curves of large signal model and nonlinear state space model were proved to be identical …

Go to article

Temporal Heterogeneous Interaction Graph Embedding For Next-Item Recommendation, Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi Sep 2020

Temporal Heterogeneous Interaction Graph Embedding For Next-Item Recommendation, Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi

Research Collection School Of Computing and Information Systems

In the scenario of next-item recommendation, previous methods attempt to model user preferences by capturing the evolution of sequential interactions. However, their sequential expression is often limited, without modeling complex dynamics that short-term demands can often be influenced by long-term habits. Moreover, few of them take into account the heterogeneous types of interaction between users and items. In this paper, we model such complex data as a Temporal Heterogeneous Interaction Graph (THIG) and learn both user and item embeddings on THIGs to address next-item recommendation. The main challenges involve two aspects: the complex dynamics and rich heterogeneity of interactions. We …

Go to article

Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet Sep 2020

Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Research Collection School Of Computing and Information Systems

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the "right" requests to travel together in the "right" available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. This challenge has been addressed in existing work by: (i) generating as many relevant feasible (with respect to the available delay for customers) combinations of requests as possible …

Go to article

Clustering Algorithm Of Quantum Self-Organization Network Based On Bloch Spherical Rotation, Shuyun Yang, Panchi Li Sep 2020

Clustering Algorithm Of Quantum Self-Organization Network Based On Bloch Spherical Rotation, Shuyun Yang, Panchi Li

Journal of System Simulation

Abstract: To enhance the clustering ability of self-origanization network, a quantum-inspired self-organization clustering algorithm was proposed based on Bloch spherical rotation. The clustering samples were mapped to the qubits on the Bloch sphere by taking all the sample values as the phases of the qubits, and the all weight values in the competitive layer were mapped to the qubits randomly distributed on the Bloch sphere. Then, the winning node was obtained by computing the spherical distance between sample and weight value, and the weight values of the winning nodes and its neighborhood were updated by rotating them to the sample …

Go to article

Drug-Loaded Chitosan Film Prepared Via Facile Solution Casting And Air-Drying Of Plain Water-Based Chitosan Solution For Ocular Drug Delivery, Boxuan Li, Juan Wang, Qin Gui, Hu Yang Sep 2020

Drug-Loaded Chitosan Film Prepared Via Facile Solution Casting And Air-Drying Of Plain Water-Based Chitosan Solution For Ocular Drug Delivery, Boxuan Li, Juan Wang, Qin Gui, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Chitosan is a nature-based polymer with low toxicity, excellent biocompatibility and biodegradability. However, the intractable solubility of chitosan in water and most conventional solvents hampers its biomedical applications. Following the dissolution method for dissolving chitosan in plain water developed by us, chitosan was dissolved in ionic liquid followed by overnight freezing at −20 °C and subsequent solvent exchange with plain water at room temperature. In this study, we fabricated a drug-carrying chitosan film via solution casting and air-drying by using the plain water-based chitosan solution. Specifically, brimonidine tartrate (BT), an antiglaucoma drug, was dissolved in the plain-water based solution and …

Go to article

Large-Stroke Capacitive Mems Accelerometer Without Pull-In, Meysam Daeichin, Ronald Miles, Shahrzad Towfighian Sep 2020

Large-Stroke Capacitive Mems Accelerometer Without Pull-In, Meysam Daeichin, Ronald Miles, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

In this study, the feasibility of obtaining electrical read-out data from a capacitive MEMS accelerometer that employs repulsive electrode configuration is demonstrated. This configuration allows for large-stroke vibrations of microstructures without suffering from pull-in failure that exists in conventional accelerometers based on the parallelplate configuration. With initial fabrication gap of 2:75um, the accelerometer can reach a 4:2um dynamical displacement amplitude. The accelerometer is tested up to 95(V) without exhibiting pull-in failure. For comparison, the pull-in voltage of an accelerometer with same dimensions but with conventional parallel-plate electrode configuration is 0:8(V). The MEMS device is fabricated using the POLYMUMPs fabrication standard. …

Go to article

Me-Em Enewsbrief, September 2020, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University Sep 2020

Me-Em Enewsbrief, September 2020, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University

Department of Mechanical and Aerospace Engineering eNewsBrief

No abstract provided.

Go to article

Research About Method Of Face Detection And Tracking Based On Active Vision, Enzeng Dong, Shengxu Yan, Jigang Tong Sep 2020

Research About Method Of Face Detection And Tracking Based On Active Vision, Enzeng Dong, Shengxu Yan, Jigang Tong

Journal of System Simulation

Abstract: Based on the method of combining the Camshift algorithm mixing Kalman filter with Adaboost algorithm, a face-detection and tracking algorithm on the active vision was proposed. The algorithm proposed realized the face automatic detection and tracking by using Adaboost algorithm and Camshift mixed algorithm; according to the positional relation of target centroid and the view centre, and the difference of area between the region of the face target and the view, the Pan-Tilt-Zoom (PTZ) control algorithm was designed. Through the rules designed for pan, tilt and zoom control, the algorithm achieved the goal of …

Go to article

Three-Dimensional Fuzzy Control Of Catheter Robotic In Endovascular Master-Slave Interventional Surgery, Ximei Zhao, Jiankang You, Liu Hao, Hongyi Li Sep 2020

Three-Dimensional Fuzzy Control Of Catheter Robotic In Endovascular Master-Slave Interventional Surgery, Ximei Zhao, Jiankang You, Liu Hao, Hongyi Li

Journal of System Simulation

Abstract: In minimally invasive endovascular interventional surgery, catheter was vulnerable to be interfered by uncertain factors such as heartbeat and breathing of patients during catheter robot of slave side conveyed catheter. In order to retrain impact on catheter transport of these factors and realize that slave side of catheter robot system tracked control command of master side accurately and quickly, kinematic model of catheter distal bending section was established, and catheter robot system based on three-dimensional fuzzy controller was designed. Three-dimensional fuzzy controller that introduced the function of rate of error change on the basis of two-dimensional fuzzy controller …

Go to article

Velocity Deception Jamming Analysis Of Coherent Video Simulation Of Anti-Ship Pd Seeker, Cuiqiong Mo, Jiahai Li, Huanyao Dai, Qiuju Chen, Zhao Jing Sep 2020

Velocity Deception Jamming Analysis Of Coherent Video Simulation Of Anti-Ship Pd Seeker, Cuiqiong Mo, Jiahai Li, Huanyao Dai, Qiuju Chen, Zhao Jing

Journal of System Simulation

Abstract: According to existed experimental evaluation of radar electronic jamming simulation for terminal guidance, the ballistic calculation model was simplified relatively. Particle model was usually adopted which made simulation results have serious distortion. The pulse Doppler radar seeker was discussed in six degree of freedom trajectory simulation of the closed loop (PDRS) for coherent video simulation, and simulation results show that the VGPO has no direct effect on the angle tracking loop, just through guidance filter affects the convergence angle velocity estimation, which leads to little change of guidance precision. The conclusion and anechoic chamber measurements results show that the …

Go to article

Algorithm For Solving Symmetric Cone Complementarity Problems, Leifu Gao, Dongmei Yu Sep 2020

Algorithm For Solving Symmetric Cone Complementarity Problems, Leifu Gao, Dongmei Yu

Journal of System Simulation

Abstract: A monotonic trust region algorithm for symmetric cone complementarity problems was proposed based on a smoothing function. The problem was transformed into unconstrained optimization problem and the trust region subproblem was constructed. The problem was solved by using trust region algorithm combined with nonmonotonic strategies, and the global convergence of the algorithm was proved. Numerical experimental results demonstrate that the algorithm is effective for symmetric cone complementarity problems.

Go to article

Pid Closed Loop Control Performance Analysis Of Piezostack-Driven Jet Dispensing Valve, Yunbo Fu, Xinbo Li, Guojun Liu, Jianfang Liu, Yaowu Shi Sep 2020

Pid Closed Loop Control Performance Analysis Of Piezostack-Driven Jet Dispensing Valve, Yunbo Fu, Xinbo Li, Guojun Liu, Jianfang Liu, Yaowu Shi

Journal of System Simulation

Abstract: A new type of piezostack-driven jetting dispenser was proposed which used hydraulic magnification, and analyzed its injection process and injection condition. The open loop model of dispensing system was built by AMESim software. The simulation proved the feasibility. The closed loop control system with PID (Proportion Integration Differentiation) algorithm was set up to improve performance of open loop dispensing system, and the open and closed loop control performance was compared under the simulation environment. Analysis shows that PID closed loop system can improve performance of piezostack-driven jetting dispensing system. When nozzle diameter is 0.1mm and syringe pressure …

Go to article

Change Management In Construction: Necessity, Obstacles,And Suggested Solutions, Ihab M. H. Saad Sep 2020

Change Management In Construction: Necessity, Obstacles,And Suggested Solutions, Ihab M. H. Saad

The Professional Constructor

The construction industry is one of the major harbingers of the economy of any industrialized nation. Its contribution to the Gross Domestic Product is undeniable. The major economic downturn that lasted from 2008 to 2011 resulted in a lot of change in the industry personnel at both the administration and labor force levels. This resulted in expediting the retirement of a generation of seasoned professionals, and creating a gap in the ranks of construction firms that is still to be completely filled. Similar impacts followed the uncertainty resulting recently from Covid-19 and the economic instability and uncertainty it caused. One …

Go to article

Pert, Cpm And The Tangled History Of Network Scheduling, Charles Christopher Smith, Vivek Sharma, Gregory B. Baecher Sep 2020

Pert, Cpm And The Tangled History Of Network Scheduling, Charles Christopher Smith, Vivek Sharma, Gregory B. Baecher

The Professional Constructor

The origins of two network scheduling techniques: The Program Evaluation Review Technique (PERT); and the Critical Path Method (CPM) are examined. Prior accounts hold that each are different and were created separately. PERT, developed within the U. S. Navy’s highly classified POLARIS nuclear missile program which began in 1955. CPM, the creation of American industrial concerns E. I. du Pont de Nemours (du Pont) and Remington Rand UNIVAC. With the objective of settling “an acrimonious dispute over parentage,” this research examines the literature and the original forms of PERT and CPM noting their ‘dead ring’ resemblances, synchronous development timelines, while …

Go to article

Simulation Of Physical Field Of 300ka Prebaked Aluminum Reduction Cell, Shuiping Zeng, Shasha Wang, Rongjuan Wang Sep 2020

Simulation Of Physical Field Of 300ka Prebaked Aluminum Reduction Cell, Shuiping Zeng, Shasha Wang, Rongjuan Wang

Journal of System Simulation

Abstract: The SY300 Prebake cell of some factory as a basic simplified model, the solidworks software was used to build a three-dimensional physical model of aluminum reduction cell. In the use of some assumptions, reasonable ideal field segmentation and under the premise of sharing model information and results, the physical model of electric field, magnetic field, flow field and its calculation module of coupling field were established respectively by using the the finite element software Comsol and Matlab Multiphysics software. On Comsol platform, electric, magnetic field of aluminum electrolytic cell were solved when replacing the anode, and current density …

Go to article

Research On Parallel Simulation Of Hypersonic Vehicles, Xuegong Sun, Chunye Gong Sep 2020

Research On Parallel Simulation Of Hypersonic Vehicles, Xuegong Sun, Chunye Gong

Journal of System Simulation

Abstract: The system simulation of hypersonic vehicles was a multi-physics coupling process. It needed many iterations with large scale data to finish the simulation. To fix up the computational challenges, the distributed simulation was developed. But distributed simulation had no obvious effect on the computational efficiency. In order to enhance the computational efficiency, the grid parallel method and model parallel algorithm were studied based on the high performance cluster system. The parallel simulation method for fluid dynamics, data exchange method for partition boundary and load balance technology for parallel computing were developed and applied to the system simulation of hypersonic …

Go to article

Decoupling Control Research Of Neutral Buoyancy Plant Based On Cmac, Peilong Li, Wang Lei, Gaofeng Li Sep 2020

Decoupling Control Research Of Neutral Buoyancy Plant Based On Cmac, Peilong Li, Wang Lei, Gaofeng Li

Journal of System Simulation

Abstract: To solve the control problem of neutral buoyancy plant, a dynamic decoupling and multidimensional compound control agorithm was proposed. By the plant force situation analysis, its six degree motion control model was developed. Then a dynamic decoupling neural network was designed with the merit of adaptation of the dynamic changing coupling situation. CMAC (Cerebellar Model Articulation Controller) and PID compound control was adopted in single channel control, whose advantage is that it combines the rapidity of CMAC feedforward control and anti-interference of PID feedback control. MATLAB simulation results show that the algorithm can control the plant's position and posture …

Go to article

Simulation Study Of Nodes Deployment Of Underwater Sensor Network Based On Reliability Coverage Algorithm, Juwei Zhang, Yachuang Liu Sep 2020

Simulation Study Of Nodes Deployment Of Underwater Sensor Network Based On Reliability Coverage Algorithm, Juwei Zhang, Yachuang Liu

Journal of System Simulation

Abstract: For 3D nodes-deployment of the underwater sensor networks, the definitions of detection reliability and reliability coverage was proposed. According to the advanced D-S theory of evidence, the change of reliability coverage in underwater sensor networks' detection area was analyzed, and a Nodes-deployment Algorithm Based on Advanced D-S Theory of Evidence and Prior Probability (NAAEP) combining with the prior probability of target nodes distribution was proposed. The value of the target perceived reliability was transformed into a virtual potential field force that a node was suffered in size, and the position of the nodes was adjusted according to …

Go to article

Simulation Research On Airborne Lidar Bathymetry System, Chengqun Fu, Xiuyuan Lü, Wang Yong, Huaixiao Wang Sep 2020

Simulation Research On Airborne Lidar Bathymetry System, Chengqun Fu, Xiuyuan Lü, Wang Yong, Huaixiao Wang

Journal of System Simulation

Abstract: The simulations were performed to study the Airborne Lidar Bathymetry System by application of Monte Carlo model and Phenomenological model to describe the transmission of Gauss laser beam in ocean water. Research on the relation between seawater dielectric attenuation coefficient and maximum detecting depth was conducted. The change of facular size with detecting depth was explored. Simulation results show that two models are appropriate for different instance. Part of the Airborne Lidar's parameters was analyzed by the two models. According to simulation results, the Airborne Lidar scheme is demonstrated to be feasible.

Go to article

Energy Entropy And Particle Swarm Optimization Bp Neural Network Of Fault Diagnosis Techniques Of Coal Mine Cable, Zhiling Ren, Yuanyuan Zhang Sep 2020

Energy Entropy And Particle Swarm Optimization Bp Neural Network Of Fault Diagnosis Techniques Of Coal Mine Cable, Zhiling Ren, Yuanyuan Zhang

Journal of System Simulation

Abstract: Aimed at solving the problem of the type of fault difficult to identification when power feeder of coal mine occurred single-phase ground fault, in order to ensure coal mines production safety, a method of fault diagnosis based on wavelet packet energy entropy (WP-EE) and combined with particle swarm optimization neural network was proposed. The type of cable fault was simulated by Matlab, the acquired post-fault voltage signal was performed the three layers wavelet Packet decomposition, the fault characteristic signals was divided into eight segments by frequency, characteristics calculated the entropy energy spectrum according to the information entropy theory, …

Go to article

First Prev Next Last