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2020

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Articles 1441 - 1470 of 10640

Full-Text Articles in Engineering

Flight Simulator Modeling Using Recurrent Neural Networks, Nickolas Sabatini, Andreas Natsis Oct 2020

Flight Simulator Modeling Using Recurrent Neural Networks, Nickolas Sabatini, Andreas Natsis

Maseeh Summer Undergraduate Research Experience

Recurrent neural networks (RNNs) are a form of machine learning used to predict future values. This project uses RNNs tor predict future values for a flight simulator. Coded in Python using the Keras library, the model demonstrates training loss and validation loss, referring to the error when training the model.

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Cost Estimating Using A New Learning Curve Theory For Non-Constant Production Rates, Dakotah Hogan, John J. Elshaw, Clay M. Koschnick, Jonathan D. Ritschel, Adedeji B. Badiru, Shawn M. Valentine Oct 2020

Cost Estimating Using A New Learning Curve Theory For Non-Constant Production Rates, Dakotah Hogan, John J. Elshaw, Clay M. Koschnick, Jonathan D. Ritschel, Adedeji B. Badiru, Shawn M. Valentine

Faculty Publications

Traditional learning curve theory assumes a constant learning rate regardless of the number of units produced. However, a collection of theoretical and empirical evidence indicates that learning rates decrease as more units are produced in some cases. These diminishing learning rates cause traditional learning curves to underestimate required resources, potentially resulting in cost overruns. A diminishing learning rate model, namely Boone’s learning curve, was recently developed to model this phenomenon. This research confirms that Boone’s learning curve systematically reduced error in modeling observed learning curves using production data from 169 Department of Defense end-items. However, high amounts of variability in …

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Facilitating Educational Opportunities For Pilots Using Cohort Rpl, Pio Fenton, Deirdre Goggin Oct 2020

Facilitating Educational Opportunities For Pilots Using Cohort Rpl, Pio Fenton, Deirdre Goggin

Dept. of Marketing & International Business Conference Material

Facilitating Educational Opportunities for Pilots using Cohort RPL 3.3 Pio Fenton and Deirdre Goggin The lifestyle and, indeed workstyle, of pilots has long proved an impediment to the attainment of third level qualifications while maintaining active and full participation in the workforce. Equally, the significant investment in pilot training has been poorly reflected in mechanisms of advanced entry to college and university programmes. This poses a quandary for those of us in Higher Education which requires quick resolution for this critical element of the airline industry. Cork Institute of Technology (CIT) has developed a programme which, by design, reflects the …

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The Effectiveness Of Working Memory Training Programs For Special Needs And Typically Developing Students In Arab Countries: A Meta-Analysis Study, Dr. Mohammad Sayed Soliman Oct 2020

The Effectiveness Of Working Memory Training Programs For Special Needs And Typically Developing Students In Arab Countries: A Meta-Analysis Study, Dr. Mohammad Sayed Soliman

International Journal for Research in Education

Working memory training programs have attracted great interest, with claims that the training programs can have diverse beneficial effects. The purpose of this article was to examine near- and far-transfer effects following working-memory training and identify the significant moderators related to these effects. Twenty- three research articles were included in the meta-analysis. The results showed that near-transfer effects of verbal and visual-spatial working memory skills had effect sizes ranging from 3.22 to 2.99 respectively. Far-transfer effects of reading comprehension and academic achievement had effect sizes ranging from 3.17 to 2.43 respectively. Two significant moderators, namely, learner status (typically/special needs) and …

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Analytical And Experimental Study Of Fatigue-Crack-Growth Ae Signals In Thin Sheet Metals, Roshan Joseph, Victor Giurgiutiu Oct 2020

Analytical And Experimental Study Of Fatigue-Crack-Growth Ae Signals In Thin Sheet Metals, Roshan Joseph, Victor Giurgiutiu

Faculty Publications

The acoustic emission (AE) method is a very popular and well-developed method for passive structural health monitoring of metallic and composite structures. AE method has been efficiently used for damage source detection and damage characterization in a large variety of structures over the years, such as thin sheet metals. Piezoelectric wafer active sensors (PWASs) are lightweight and inexpensive transducers, which recently drew the attention of the AE research community for AE sensing. The focus of this paper is on understanding the fatigue crack growth AE signals in thin sheet metals recorded using PWAS sensors on the basis of the Lamb …

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Far Infrared Radiation Property Of Elbaite/Alumina Composite Materials, Qi Lu, Bowen Li, Huan Zhang Oct 2020

Far Infrared Radiation Property Of Elbaite/Alumina Composite Materials, Qi Lu, Bowen Li, Huan Zhang

Michigan Tech Publications, Part 1

Far infrared materials have been prepared by precipitation method using natural elbaite powder as raw materials, which belongs to tourmaline group. The chemical formula of elbaite is Na(Al, Li)3Al6B3Si6O27(O, OH, F)4. X-ray powder diffraction (XRD) shows that elbaite and alumina in composite material has good crystal form. In addition, XRD results indicate the formation of alumina crystallites show that alumina powder exists as nano-meter particles on the surface of elbaite powder. It can be calculated the particles diameter of Al2O3 is 47.86nm. The maximum infrared radiation rate of tourmaline/alumina composite materials is 0.89 when the ratio of alumina in elbaite …

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Reinforcement Learning Based Maximum Power Point Tracking Control Of Partially Shaded Photovoltaic System, Kuan-Yu Chou, Chia-Shiou Yang, Yon-Ping Chen Oct 2020

Reinforcement Learning Based Maximum Power Point Tracking Control Of Partially Shaded Photovoltaic System, Kuan-Yu Chou, Chia-Shiou Yang, Yon-Ping Chen

Journal of Marine Science and Technology–Taiwan

Under the sun insolation in the daytime, the Maximum Power Point Tracking (MPPT) technique is usually used to achieve the maximum power in the photovoltaic (PV) system and often implemented by the Perturbation and Observation (P&O) method. However, due to the use of fixed step size, the P&O method will generate undesired oscillation around the maximum power point (MPP) and thus reduce the tracking efficiency. Besides, the output power of PV modules highly depends on the environment factors such as irradiance and temperature, especially for a PV array, which is formed by PV modules connected in series and parallel. The …

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A Survey Of Advanced Control Methods For Permanent Magnet Stepper Motors, Yong Woo Jeong, Youngwoo Lee, Chung Choo Chung Oct 2020

A Survey Of Advanced Control Methods For Permanent Magnet Stepper Motors, Yong Woo Jeong, Youngwoo Lee, Chung Choo Chung

Journal of Marine Science and Technology–Taiwan

Permanent Magnet (PM) stepper motors have been widely used in industry due to their low material costs and robustness against the environment. Furthermore, it is relatively easy to implement a control system compared to other type motors. It has been recently reported that advanced control methods show improved tracking performance over the conventional microstepping control. In this paper, we make a survey of advanced control methods for PM stepper motors. First, we introduce basic principles of open-loop control of PM stepper motors, including microstepping. Then we explain various advanced feedback control techniques based on Lyapunov stability. Second, we briefly summarize …

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Agile Rov For Underwater Surveillance, Ikuo Yamamoto, Akihiro Morinaga, Murray Lawn Oct 2020

Agile Rov For Underwater Surveillance, Ikuo Yamamoto, Akihiro Morinaga, Murray Lawn

Journal of Marine Science and Technology–Taiwan

Surveillance of submerged plant is becoming increasingly critical as ocean based resources become more and more important. A wide varieties of new roles have recently emerged ranging from aquaculture to offshore power generation systems, in addition to the monitoring of the aging submerged sections of bridges, piers and dams etc. Consecutive generations of ROVs have been developed at Nagasaki University to meet the changing needs for surveillance of submerged plant. This paper outlines briefly the ROVs developed to date and the move to increase ROV autonomy using AI (artificial intelligence).

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Gain-Scheduled Control Of Discretized Ship Autopilot System Subject To Poleassignment And Passivity Constraints, Wen-Jer Chang, Cheung-Chieh Ku, Chih-Yu Yen, Guan-Wei Chen Oct 2020

Gain-Scheduled Control Of Discretized Ship Autopilot System Subject To Poleassignment And Passivity Constraints, Wen-Jer Chang, Cheung-Chieh Ku, Chih-Yu Yen, Guan-Wei Chen

Journal of Marine Science and Technology–Taiwan

This paper addresses a control performance problem for discretized ship autopilot system with uncertainty. To completely express the uncertainty, Linear Parameter Varying (LPV) modelling technology is employed such that the ship autopilot system is described via several linear systems and weighting function. Furthermore, gain-scheduled scheme is applied to design a controller to achieve the passivity and pole-assignment constraints. Moreover, a Parameter-Dependent Lyapunov Function (PDLF) is used to derive some sufficient conditions. Through the proposed design method, the attenuation performance and stability of the system can be guaranteed. Besides, the transient responses are furtherly improved such that the ship autopilot system …

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Adaptive Pid-Like Control Using Broad Learning System For Nonlinear Dynamic Systems, Ching-Chih Tsai, Chun-Chieh Chan, Chien-Cheng Yu, Hung-Sheng Chen, Guo-Shun Hung Oct 2020

Adaptive Pid-Like Control Using Broad Learning System For Nonlinear Dynamic Systems, Ching-Chih Tsai, Chun-Chieh Chan, Chien-Cheng Yu, Hung-Sheng Chen, Guo-Shun Hung

Journal of Marine Science and Technology–Taiwan

This paper presents a new learning control structure using broad learning system (BLS) for adaptive PID-like control of unknown digital nonlinear dynamic systems with time delays. The proposed control method, abbreviated as BLS-APIDLC, is novel in combining BLS and model predictive control to develop a new PID-like control law for high-performance setpoint tracking control and disturbance rejection. Comparative simulations on two renowned nonlinear digital time-delay systems are well used to show the effectiveness and superiority of the proposed method by comparing to four existing methods. I

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Control Barrier Function Design Using Revived Transformation, Maki Takai, Motoi Igarashi, Hisakazu Nakamura Oct 2020

Control Barrier Function Design Using Revived Transformation, Maki Takai, Motoi Igarashi, Hisakazu Nakamura

Journal of Marine Science and Technology–Taiwan

The state constraint problem is an essential topic in control theory, wherein control methods using a control barrier function (CBF) and a revived transformation have been recently proposed. However, a way of designing the CBF is yet to be developed in a constrained space. In this study, we propose a CBF design method by using a revived transformation. Our method can design a CBF in a constrained space by utilizing a diffeomorphism from an unconstrained space. We demonstrate the effectiveness of the proposed method by human assist control design and computer simulation.

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Constraints To Guarantee Gain And Phase Margins For Data-Driven Controller Tuning Methods, Taiga Sakatoku, Kazuhiro Yubai, Daisuke Yashiro, Satoshi Komada Oct 2020

Constraints To Guarantee Gain And Phase Margins For Data-Driven Controller Tuning Methods, Taiga Sakatoku, Kazuhiro Yubai, Daisuke Yashiro, Satoshi Komada

Journal of Marine Science and Technology–Taiwan

The Noniterative Correlation-based Tuning (NCbT) is one of the data-driven controller tuning methods which directly tune controller parameters from input/output data set of a plant . The NCbT is based on the correlation approach to robustly tune controller parameters using a noisy input/output data set. Since the NCbT guarantees closed-loop stability only for the situation where the data is acquired, a plant fluctuation is not taken into consideration, which may lead to degradation of control performance and/or destabilization of the closed-loop system . In this paper, we virtually produce input/output data sets of the plant with various gain and/or phase …

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The Research Of The Rfid Anchor Assisted Slam On An Autonomous Patrolling System, Chien-Wu Lan, Che-Hung Liu Oct 2020

The Research Of The Rfid Anchor Assisted Slam On An Autonomous Patrolling System, Chien-Wu Lan, Che-Hung Liu

Journal of Marine Science and Technology–Taiwan

To allow service robots to patrol indoors is a difficult challenge of the robot control technology. As long as this purpose can be achieved, it can increase the value of service robots in the commercial applications. In this research, an anchor deployment strategy combined with a stereo vision system for the robot synchronization positioning and mapping is proposed, which is based on an open source Gmapping Simultaneous Localization and Mapping (SLAM) algorithm of Robot Operating System (ROS), and enables a robot to simultaneously positioning and build environment maps autonomously. The anchors are developed based on the radio frequency identification (RFID), …

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Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong Oct 2020

Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong

Journal of Marine Science and Technology–Taiwan

This paper shows how to identify and control a mouse type Ballbot. The Ballbot is an unstable complex system. Using the first principle law to model the robot is not accurate enough. An identification method is proposed. The model is transformed to be MIMO state space model and using a convexconcave optimization to design a robust PI+phase-lead controller. Experiments on a design Ballbot are presented. It turns out that an identification model of Bollbot and a PI+phase-lead controller design framework is suitable for using to control a Ballbot

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Robotic Suturing In Minimally Invasive Surgery, Jia-Yush Yen, Hao-Xiang Kang, Kuan Shen, Yung-Yaw Chen, Ming-Chih Ho Oct 2020

Robotic Suturing In Minimally Invasive Surgery, Jia-Yush Yen, Hao-Xiang Kang, Kuan Shen, Yung-Yaw Chen, Ming-Chih Ho

Journal of Marine Science and Technology–Taiwan

Minimally invasive surgery (MIS) has the advantages of minimal bleeding and rapid postoperative recovery, which can alleviate patient suffering. Therefore, MIS is widely used in clinical applications. However, MIS is more difficult than traditional surgery; surgeons must be more meticulous when performing MIS than when performing ordinary surgery. Using a robotic arm in an auxiliary role in MIS can reduce the workload of surgeons and increase the precision and efficiency of the surgical procedure. The aim of this article is to design an MIS robot system that can perform automatic surgical suturing. First, we designed the basic control architecture for …

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Motion And Control Simulation For Underwater Robots, Shyh-Kuang Ueng, Chieh-Shih Chou Oct 2020

Motion And Control Simulation For Underwater Robots, Shyh-Kuang Ueng, Chieh-Shih Chou

Journal of Marine Science and Technology–Taiwan

Remotely Operated Vehicles (ROVs) are widely used in underwater explorations and constructions. When navigating under the sea, the motions and stabilities of ROVs are influenced by various forces. Operating ROVs to capture images, grasp samples, avoid obstacles, and examine man-made facilities is challenging. This paper proposes an innovative simulator to train users to handle ROVs. Conventional simulators only can mimic undeformable ROVs. Their educational capabilities are limited. The proposed simulator is developed based on advance mathematics models and is able to emulate a ROV equipped with movable robot arms. Therefore, it can perform more realistic and meaningful simulations to enhance …

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Path Planning And Obstacle Avoidance Of Uav For Cage Culture Inspection, Yi-En Cai, Jih-Gau Juang Oct 2020

Path Planning And Obstacle Avoidance Of Uav For Cage Culture Inspection, Yi-En Cai, Jih-Gau Juang

Journal of Marine Science and Technology–Taiwan

This paper presents path planning and obstacle avoidance of an unmanned aerial vehicle (UAV) for cage culture inspection. The proposed system can automatically inspect cage farming environment that can cut manpower and reduce cost. The problem is similar to travelling salesman problem (TSP). Genetic algorithms are useful techniques for TSP and can also be used for cage culture inspection. In addition to path planning, an improved particle swarm optimization (IPSO) is applied to avoid obstacle between different cages. The IPSO is applicable to both stationary and dynamic environments with one or more obstacles. Simulation results show the effectiveness of the …

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Container Throughput Forecasting For International Ports In Taiwan, Juan Huang, Ching-Wu Chu, Yi-Chen Tsai Oct 2020

Container Throughput Forecasting For International Ports In Taiwan, Juan Huang, Ching-Wu Chu, Yi-Chen Tsai

Journal of Marine Science and Technology–Taiwan

This paper compares different univariate forecasting methods and provides a more accurate short-term forecasting model for container throughput to create a reference for relevant authorities. Six different univariate methods, including the classical decomposition model, the trigonometric regression model, the regression model with seasonal dummy variables, the grey forecasting model, the hybrid grey forecasting model, and the seasonal autoregressive integrated moving average (SARIMA) model, were used. We found that the SARIMA model is a reliable forecasting method for forecasting container throughput with seasonal variations. This study’s findings can help to predict the near-future demand for container throughput at international ports.

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Swimming Of Pelagic Snails: Kinematics And Fluid Dynamics, Ferhat Karakas Oct 2020

Swimming Of Pelagic Snails: Kinematics And Fluid Dynamics, Ferhat Karakas

USF Tampa Graduate Theses and Dissertations

Pteropods (also known as sea butterflies or sea angels), are holoplanktonic marine snails which swim by flapping a pair of extremely flexible wings. The wings are modified from the molluscan foot and the wing motions are supported by the fluid pressure without any rigid support. Sea angels (gymnosome pteropods) are completely naked; in contrast, sea butterflies (thecosome pteropods) have negatively buoyant aragonite shells which vary in geometry and size among different species. Pteropods are seasonally abundant in the ocean, and an important food source for the other zooplanktons, fishes, and whales. Though studies have been conducted regarding their biology, ecology, …

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Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani Oct 2020

Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani

LSU Doctoral Dissertations

The safety of highway-railroad grade crossings (HRGC) is still an issue in the United States of America (USA). The grade crossing is where a railroad crosses a road at the same level without any over or underpass. To improve the safety of crossings, the crossings’ condition should be explored from several aspects such as engineering design (speed limit, warning signs, etc.), road condition (number of lanes, surface markings, etc.), rail design (the type of track, ballast, etc.), temporal variables (weather, visibility, time of day, lightning, etc.), social variables (population, race, etc.), and last but not least, spatial variables (the type …

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Evaluation Of The Extractive Gold Process: Open-Pit Mining Through Exergy Analysis, Hector I. Velasquez, Carlos Andres Orozco Loaiza, Christian Hasenstab, Natalia A. Cano Oct 2020

Evaluation Of The Extractive Gold Process: Open-Pit Mining Through Exergy Analysis, Hector I. Velasquez, Carlos Andres Orozco Loaiza, Christian Hasenstab, Natalia A. Cano

Journal of Sustainable Mining

The Colombian mining sector is characterized by the production of coal, nickel, emeralds, gold, and construction materials. It is considered by the National Development Plan of Colombia 2018-2022 as an economic agent that boosts development in the region and one that requires the strengthening of its policies and environmental liability. Therefore, this paper aims to show the importance of implementing methodologies based on the logic of nature (exergy) that objectively indicate the environmental impact of an extractive gold activity, such as open-pit gold mining. The extractive activity or process to be studied consists of the following stages: topsoil removal by …

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Exergy Life Cycle Assessment Indicators In Colombian Gold Mining Sector, Natalia A. Cano, Christian Hasenstab, Hector I. Velasquez Oct 2020

Exergy Life Cycle Assessment Indicators In Colombian Gold Mining Sector, Natalia A. Cano, Christian Hasenstab, Hector I. Velasquez

Journal of Sustainable Mining

Thermodynamic methods, such as exergy analysis allow the assessment of environmental load (environmental impacts), by calculating the entropy generated or exergy destroyed due to the use of renewable and non-renewable resources along the entire production chain. In this research, exergy analysis will be approached as an extension of LCA to ExLCA (Exergy Life Cycle Assessment), as complementary tools, for sustainability assessment of two gold mining systems in Colombia: open-pit and alluvial mining. It is quantified exergy life cycle efficiencies; Cumulative Energy/ Exergy Demand, by distinguishing between renewable and non-renewable resources used in the process. The energy contained in renewable and …

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True Cost Of Coal: Coal Mining Industry And Its Associated Environmental Impacts On Water Resource Development, Noshin Masood, Karen Hudson-Edwards, Abida Farooqi Oct 2020

True Cost Of Coal: Coal Mining Industry And Its Associated Environmental Impacts On Water Resource Development, Noshin Masood, Karen Hudson-Edwards, Abida Farooqi

Journal of Sustainable Mining

Coal is a strategic and essential resource that ensures quality of life, energy security and sustainable development. Being the cheapest source of energy, it is the second after oil that is used to generate 40% of the world's electricity. However, traditional and conventional coal fuel extraction can threaten human health bycontaminating air and water, harming land, and contributing to global warming. The environmental impacts associated with conventional methods of coal mining and consumption can affect all components of the environment, and these impacts may be beneficial or harmful, permanent or temporary, repairable or irreparable, and reversible or irreversible in nature. …

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Comparative Study Of Silk-Based Magnetic Materials: Effect Of Magnetic Particle Types On The Protein Structure And Biomaterial Properties, Ye Xue, Samuel Lofland, Xiao Hu Oct 2020

Comparative Study Of Silk-Based Magnetic Materials: Effect Of Magnetic Particle Types On The Protein Structure And Biomaterial Properties, Ye Xue, Samuel Lofland, Xiao Hu

College of Science & Mathematics Departmental Research

This study investigates combining the good biocompatibility and flexibility of silk protein with three types of widely used magnetic nanoparticles to comparatively explore their structures, properties and potential applications in the sustainability and biomaterial fields. The secondary structure of silk protein was quantitatively studied by infrared spectroscopy. It was found that magnetite (Fe3O4) and barium hexaferrite (BaFe12O19) can prohibit β-sheet crystal due to strong coordination bonding between Fe3+ ions and carboxylate ions on silk fibroin chains where cobalt particles showed minimal effect. This was confirmed by thermal analysis, where a high temperature degradation peak was found above 640 °C in …

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Research On Optimal Configuration Design Method Of Stewart Platform, Xuwei Fan, Lili Yang, Cheng Yu, Xiaoning Zhou, Yexin Zhang Oct 2020

Research On Optimal Configuration Design Method Of Stewart Platform, Xuwei Fan, Lili Yang, Cheng Yu, Xiaoning Zhou, Yexin Zhang

Journal of System Simulation

Abstract: Based on the structural singularity and configuration singularity of parallel mechanism, a safety mechanism design scheme of the Stewart platform is proposed to improve the workspace efficiency and engineering practicability. Taking the Stewart platform without any particularity as the research object, and considering the singular constraints of the structure, a dexterity index is proposed to achieve the optimization of the structural parameters. Analyzing and constructing the kinematics model of the Stewart platform, analyzing the singularities of the configuration bifurcations of 16 typical extreme poses, a secure workspace verification algorithm is proposed to make the whole workspace free of singularity. …

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Research On Adaptive Routing Algorithm For Wireless Weak-Connection Network, Hua Xiang, Hongjuan Yao, Wang Hai, Wang Zhao, Jietao Zhang, Lili Shu Oct 2020

Research On Adaptive Routing Algorithm For Wireless Weak-Connection Network, Hua Xiang, Hongjuan Yao, Wang Hai, Wang Zhao, Jietao Zhang, Lili Shu

Journal of System Simulation

Abstract: The wireless weak-connected network has the characteristics of long delay, high dynamic topology, and unstable links. With the lack of continuity from the source end to the destination end of network connection, in order to solve the problem of communication difficulty, the intelligence and adaptability of Physarum polycephalum are introduced, and the adaptive wireless weak-connected network routing algorithm is proposed. A wireless weak-connected network model is build and the mathematical relationships of link capacity is deduced. The next-hop selection strategy and optimal routing strategy is designed to achieve the best-effort delivery of data in wireless weak-connected network environmrnt. Simulation …

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Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang Oct 2020

Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang

Journal of System Simulation

Abstract: A fuzzy controller based on SVR learning is proposed for uncalibrated robot visual servoing. In this paper, a fuzzy controller is used to directly construct the nonlinear mapping between image features and robot joint motion. The fuzzy basis function of the fuzzy controller is taken as the kernel function of an SVR and the equivalent relationship between the SVR and the fuzzy controller is established. The learned support vector from the SVR is used as the rule of the fuzzy controller. Since all rules are learned from the data, there is no need to manually design the rules. …

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Gru-Based Car-Following Behavior Simulation Model, Fei Rong, Liu Fang, Xie Guo, Hei Xinhong, Shasha Li, Hu Bo Oct 2020

Gru-Based Car-Following Behavior Simulation Model, Fei Rong, Liu Fang, Xie Guo, Hei Xinhong, Shasha Li, Hu Bo

Journal of System Simulation

Abstract: The accuracy of acceleration prediction can be effectively improved by the driver's memory in car-following behavior. A new car-following model based on the General Motors (GM) and the gate control unit (GRU) is proposed. The car-following data between small vehicles with similar driving behavior are obtained by data preprocessing. The established model is calibrated by the car-following data, and the optimal parameters and structure of the model are determined. According to car-following characteristics, the effectiveness of model is verified by simulation. It is confirmed that the model has high robustness and improved simulation accuracy comparing with the traditional models.

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Estimation Of Space-Time Of Urban Building Population Based On Mobile Phone Big Data, Hu Yang, Xiaoyong Zhang, Xiao Di Oct 2020

Estimation Of Space-Time Of Urban Building Population Based On Mobile Phone Big Data, Hu Yang, Xiaoyong Zhang, Xiao Di

Journal of System Simulation

Abstract: With the acceleration of the urbanization process, mastering the population distribution on a fine scale is of great significance for urban disaster assessment, emergency response management and public resource allocation. The rapid development of the Internet and the popularity of smartphones have prompted mobile phones to become the sensors of human activity. A method of urban building population estimation based on mobile phone big data is proposed. The method analyzes the crowd activity law of buildings with different functions based on mobile phone positioning big data in typical areas, calculates the population capacity of different functional buildings, and …

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