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trajectory analysis</title> <meta name="description" content="Search results for: 3dof trajectory analysis"> <meta name="keywords" content="3dof trajectory analysis"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="3dof trajectory analysis"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 28145</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: 3dof trajectory analysis</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28145</span> A Single Stage Rocket Using Solid Fuels in Conventional Propulsion Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=John%20R%20Evans">John R Evans</a>, <a href="https://publications.waset.org/abstracts/search?q=Sook-Ying%20%20Ho"> Sook-Ying Ho</a>, <a href="https://publications.waset.org/abstracts/search?q=Rey%20Chin"> Rey Chin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the research investigations orientated to the starting and propelling of a solid fuel rocket engine which operates as combined cycle propulsion system using three thrust pulses. The vehicle has been designed to minimise the cost of launching small number of Nano/Cube satellites into low earth orbits (LEO). A technology described in this paper is a ground-based launch propulsion system which starts the rocket vertical motion immediately causing air flow to enter the ramjet’s intake. Current technology has a ramjet operation predicted to be able to start high subsonic speed of 280 m/s using a liquid fuel ramjet (LFRJ). The combined cycle engine configuration is in many ways fundamentally different from the LFRJ. A much lower subsonic start speed is highly desirable since the use of a mortar to obtain the latter speed for rocket means a shorter launcher length can be utilized. This paper examines the means and has some performance calculations, including Computational Fluid Dynamics analysis of air-intake at suitable operational conditions, 3-DOF point mass trajectory analysis of multi-pulse propulsion system (where pulse ignition time and thrust magnitude can be controlled), etc. of getting a combined cycle rocket engine use in a single stage vehicle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=combine%20cycle%20propulsion%20system" title="combine cycle propulsion system">combine cycle propulsion system</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20earth%20orbit%20launch%20vehicle" title=" low earth orbit launch vehicle"> low earth orbit launch vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=computational%20fluid%20dynamics%20analysis" title=" computational fluid dynamics analysis"> computational fluid dynamics analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=3dof%20trajectory%20analysis" title=" 3dof trajectory analysis "> 3dof trajectory analysis </a> </p> <a href="https://publications.waset.org/abstracts/136487/a-single-stage-rocket-using-solid-fuels-in-conventional-propulsion-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136487.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">191</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28144</span> Two Degree of Freedom Spherical Mechanism Design for Exact Sun Tracking</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osman%20Acar">Osman Acar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sun tracking systems are the systems following the sun ray by a right angle or by predetermined certain angle. In this study, we used theoretical trajectory of sun for latitude of central Anatolia in Turkey. A two degree of freedom spherical mechanism was designed to have a large workspace able to follow the sun's theoretical motion by the right angle during the whole year. An inverse kinematic analysis was generated to find the positions of mechanism links for the predicted trajectory. Force and torque analysis were shown for the first day of the year. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sun%20tracking" title="sun tracking">sun tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=theoretical%20sun%20trajectory" title=" theoretical sun trajectory"> theoretical sun trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=spherical%20mechanism" title=" spherical mechanism"> spherical mechanism</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20kinematic%20analysis" title=" inverse kinematic analysis"> inverse kinematic analysis</a> </p> <a href="https://publications.waset.org/abstracts/37062/two-degree-of-freedom-spherical-mechanism-design-for-exact-sun-tracking" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37062.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28143</span> A Review on Robot Trajectory Optimization and Process Validation through off-Line Programming in Virtual Environment Using Robcad</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ashwini%20Umale">Ashwini Umale</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning around obstacles and subsequent optimization of a trajectory satisfying dynamical constraints. An optimized trajectory of multi-axis robot is important and directly influences the Performance of the executing task. Optimal is defined to be the minimum time to transition from the current speed to the set speed. In optimization of trajectory through virtual environment explores the most suitable way to represent robot motion from virtual environment to real environment. This paper aims to review the research of trajectory optimization in virtual environment using simulation software Robcad. Improvements are to be expected in trajectory optimization to generate smooth and collision free trajectories with minimization of overall robot cycle time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trajectory%20optimization" title="trajectory optimization">trajectory optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=forward%20kinematics%20and%20reverse%20kinematics" title=" forward kinematics and reverse kinematics"> forward kinematics and reverse kinematics</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20constraints" title=" dynamic constraints"> dynamic constraints</a>, <a href="https://publications.waset.org/abstracts/search?q=robcad%20simulation%20software" title=" robcad simulation software"> robcad simulation software</a> </p> <a href="https://publications.waset.org/abstracts/17300/a-review-on-robot-trajectory-optimization-and-process-validation-through-off-line-programming-in-virtual-environment-using-robcad" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17300.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">505</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28142</span> Tracking Trajectory of a Cable-Driven Robot for Lower Limb Rehabilitation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hachmia%20Faqihi">Hachmia Faqihi</a>, <a href="https://publications.waset.org/abstracts/search?q=Maarouf%20Saad"> Maarouf Saad</a>, <a href="https://publications.waset.org/abstracts/search?q=Khalid%20Benjelloun"> Khalid Benjelloun</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Benbrahim"> Mohammed Benbrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Nabil%20Kabbaj"> M. Nabil Kabbaj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates and presents a cable-driven robot to lower limb rehabilitation use in sagittal plane. The presented rehabilitation robot is used for a trajectory tracking in joint space. The paper covers kinematic and dynamic analysis, which reveals the tensionability of the used cables as being the actuating source to provide a rehabilitation exercises of the human leg. The desired trajectory is generated to be used in the control system design in joint space. The obtained simulation results is showed to be efficient in this kind of application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cable-driven%20multi-body%20system" title="cable-driven multi-body system">cable-driven multi-body system</a>, <a href="https://publications.waset.org/abstracts/search?q=computed-torque%20controller" title=" computed-torque controller"> computed-torque controller</a>, <a href="https://publications.waset.org/abstracts/search?q=lower%20limb%20rehabilitation" title=" lower limb rehabilitation"> lower limb rehabilitation</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking%20trajectory" title=" tracking trajectory"> tracking trajectory</a> </p> <a href="https://publications.waset.org/abstracts/50711/tracking-trajectory-of-a-cable-driven-robot-for-lower-limb-rehabilitation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50711.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">387</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28141</span> NextCovps: Design and Stress Analysis of Dome Composite Overwrapped Pressure Vessels using Geodesic Trajectory Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Maziz">Ammar Maziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Prateek%20Gupta"> Prateek Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Thiago%20Vasconcellos%20Birro"> Thiago Vasconcellos Birro</a>, <a href="https://publications.waset.org/abstracts/search?q=Benoit%20Gely"> Benoit Gely</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hydrogen as a sustainable fuel has the highest energy density per mass as compared to conventional non-renewable sources. As the world looks to move towards sustainability, especially in the sectors of aviation and automotive, it becomes important to address the issue of storage of hydrogen as compressed gas in high-pressure tanks. To improve the design for the efficient storage and transportation of Hydrogen, this paper presents the design and stress analysis of Dome Composite Overwrapped Pressure Vessels (COPVs) using the geodesic trajectory approach. The geodesic trajectory approach is used to optimize the dome design, resulting in a lightweight and efficient structure. Python scripting is employed to implement the mathematical modeling of the COPV, and after validating the model by comparison to the published paper, stress analysis is conducted using Abaqus commercial code. The results demonstrate the effectiveness of the geodesic trajectory approach in achieving a lightweight and structurally sound dome design, as well as the accuracy and reliability of the stress analysis using Abaqus commercial code. This study provides insights into the design and analysis of COPVs for aerospace applications, with the potential for further optimization and application in other industries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=composite%20overwrapped%20pressure%20vessels" title="composite overwrapped pressure vessels">composite overwrapped pressure vessels</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20fiber" title=" carbon fiber"> carbon fiber</a>, <a href="https://publications.waset.org/abstracts/search?q=geodesic%20trajectory%20approach" title=" geodesic trajectory approach"> geodesic trajectory approach</a>, <a href="https://publications.waset.org/abstracts/search?q=dome%20design" title=" dome design"> dome design</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20analysis" title=" stress analysis"> stress analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=plugin%20python" title=" plugin python"> plugin python</a> </p> <a href="https://publications.waset.org/abstracts/167305/nextcovps-design-and-stress-analysis-of-dome-composite-overwrapped-pressure-vessels-using-geodesic-trajectory-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167305.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28140</span> Perturbative Analysis on a Lunar Free Return Trajectory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emre%20%C3%9Cnal">Emre Ünal</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Ba%C5%9Faran"> Hasan Başaran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, starting with a predetermined Lunar free-return trajectory, an analysis of major near-Earth perturbations is carried out. Referencing to historical Apollo-13 flight, changes in the mission’s resultant perimoon and perigee altitudes with each perturbative effect are evaluated. The perturbations that were considered are Earth oblateness effects, up to the 6<sup>th</sup> order, atmospheric drag, third body perturbations consisting of solar and planetary effects and solar radiation pressure effects. It is found that for a Moon mission, most of the main perturbative effects spoil the trajectory significantly while some came out to be negligible. It is seen that for apparent future request of constructing low cost, reliable and safe trajectories to the Moon, most of the orbital perturbations are crucial. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Apollo-13%20trajectory" title="Apollo-13 trajectory">Apollo-13 trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20drag" title=" atmospheric drag"> atmospheric drag</a>, <a href="https://publications.waset.org/abstracts/search?q=lunar%20trajectories" title=" lunar trajectories"> lunar trajectories</a>, <a href="https://publications.waset.org/abstracts/search?q=oblateness%20effect" title=" oblateness effect"> oblateness effect</a>, <a href="https://publications.waset.org/abstracts/search?q=perturbative%20effects" title=" perturbative effects"> perturbative effects</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20radiation%20pressure" title=" solar radiation pressure"> solar radiation pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=third%20body%20perturbations" title=" third body perturbations"> third body perturbations</a> </p> <a href="https://publications.waset.org/abstracts/130408/perturbative-analysis-on-a-lunar-free-return-trajectory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130408.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28139</span> Hand Motion Trajectory Analysis for Dynamic Hand Gestures Used in Indian Sign Language</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daleesha%20M.%20Viswanathan">Daleesha M. Viswanathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumam%20Mary%20Idicula"> Sumam Mary Idicula</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dynamic hand gestures are an intrinsic component in sign language communication. Extracting spatial temporal features of the hand gesture trajectory plays an important role in a dynamic gesture recognition system. Finding a discrete feature descriptor for the motion trajectory based on the orientation feature is the main concern of this paper. Kalman filter algorithm and Hidden Markov Models (HMM) models are incorporated with this recognition system for hand trajectory tracking and for spatial temporal classification, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orientation%20features" title="orientation features">orientation features</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20feature%20vector" title=" discrete feature vector"> discrete feature vector</a>, <a href="https://publications.waset.org/abstracts/search?q=HMM." title=" HMM."> HMM.</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20sign%20language" title=" Indian sign language"> Indian sign language</a> </p> <a href="https://publications.waset.org/abstracts/35653/hand-motion-trajectory-analysis-for-dynamic-hand-gestures-used-in-indian-sign-language" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35653.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">370</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28138</span> Automatic Motion Trajectory Analysis for Dual Human Interaction Using Video Sequences</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuan-Hsiang%20Chang">Yuan-Hsiang Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Pin-Chi%20Lin"> Pin-Chi Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Li-Der%20Jeng"> Li-Der Jeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Advance in techniques of image and video processing has enabled the development of intelligent video surveillance systems. This study was aimed to automatically detect moving human objects and to analyze events of dual human interaction in a surveillance scene. Our system was developed in four major steps: image preprocessing, human object detection, human object tracking, and motion trajectory analysis. The adaptive background subtraction and image processing techniques were used to detect and track moving human objects. To solve the occlusion problem during the interaction, the Kalman filter was used to retain a complete trajectory for each human object. Finally, the motion trajectory analysis was developed to distinguish between the interaction and non-interaction events based on derivatives of trajectories related to the speed of the moving objects. Using a database of 60 video sequences, our system could achieve the classification accuracy of 80% in interaction events and 95% in non-interaction events, respectively. In summary, we have explored the idea to investigate a system for the automatic classification of events for interaction and non-interaction events using surveillance cameras. Ultimately, this system could be incorporated in an intelligent surveillance system for the detection and/or classification of abnormal or criminal events (e.g., theft, snatch, fighting, etc.). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motion%20detection" title="motion detection">motion detection</a>, <a href="https://publications.waset.org/abstracts/search?q=motion%20tracking" title=" motion tracking"> motion tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20analysis" title=" trajectory analysis"> trajectory analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20surveillance" title=" video surveillance"> video surveillance</a> </p> <a href="https://publications.waset.org/abstracts/13650/automatic-motion-trajectory-analysis-for-dual-human-interaction-using-video-sequences" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13650.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">548</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28137</span> Near Optimal Closed-Loop Guidance Gains Determination for Vector Guidance Law, from Impact Angle Errors and Miss Distance Considerations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthikeyan%20Kalirajan">Karthikeyan Kalirajan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashok%20Joshi"> Ashok Joshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An optimization problem is to setup to maximize the terminal kinetic energy of a maneuverable reentry vehicle (MaRV). The target location, the impact angle is given as constraints. The MaRV uses an explicit guidance law called Vector guidance. This law has two gains which are taken as decision variables. The problem is to find the optimal value of these gains which will result in minimum miss distance and impact angle error. Using a simple 3DOF non-rotating flat earth model and Lockheed martin HP-MARV as the reentry vehicle, the nature of solutions of the optimization problem is studied. This is achieved by carrying out a parametric study for a range of closed loop gain values and the corresponding impact angle error and the miss distance values are generated. The results show that there are well defined lower and upper bounds on the gains that result in near optimal terminal guidance solution. It is found from this study, that there exist common permissible regions (values of gains) where all constraints are met. Moreover, the permissible region lies between flat regions and hence the optimization algorithm has to be chosen carefully. It is also found that, only one of the gain values is independent and that the other dependent gain value is related through a simple straight-line expression. Moreover, to reduce the computational burden of finding the optimal value of two gains, a guidance law called Diveline guidance is discussed, which uses single gain. The derivation of the Diveline guidance law from Vector guidance law is discussed in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marv%20guidance" title="Marv guidance">Marv guidance</a>, <a href="https://publications.waset.org/abstracts/search?q=reentry%20trajectory" title=" reentry trajectory"> reentry trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20optimization" title=" trajectory optimization"> trajectory optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=guidance%20gain%20selection" title=" guidance gain selection"> guidance gain selection</a> </p> <a href="https://publications.waset.org/abstracts/35646/near-optimal-closed-loop-guidance-gains-determination-for-vector-guidance-law-from-impact-angle-errors-and-miss-distance-considerations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35646.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">427</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28136</span> Motion Planning of SCARA Robots for Trajectory Tracking</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Giovanni%20Incerti">Giovanni Incerti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents a method for a simple and immediate motion planning of a SCARA robot, whose end-effector has to move along a given trajectory; the calculation procedure requires the user to define in analytical form or by points the trajectory to be followed and to assign the curvilinear abscissa as function of the time. On the basis of the geometrical characteristics of the robot, a specifically developed program determines the motion laws of the actuators that enable the robot to generate the required movement; this software can be used in all industrial applications for which a SCARA robot has to be frequently reprogrammed, in order to generate various types of trajectories with different motion times. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motion%20planning" title="motion planning">motion planning</a>, <a href="https://publications.waset.org/abstracts/search?q=SCARA%20robot" title=" SCARA robot"> SCARA robot</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20tracking" title=" trajectory tracking"> trajectory tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=analytical%20form" title=" analytical form"> analytical form</a> </p> <a href="https://publications.waset.org/abstracts/19726/motion-planning-of-scara-robots-for-trajectory-tracking" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19726.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">318</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28135</span> Analysis the Trajectory of the Spacecraft during the Transition to the Planet's Orbit Using Aerobraking in the Atmosphere of the Planet</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zaw%20Min%20Tun">Zaw Min Tun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper focuses on the spacecraft’s trajectory transition from interplanetary hyperbolic orbit to the planet’s orbit using the aerobraking in the atmosphere of the planet. A considerable mass of fuel is consumed during the spacecraft transition from the planet’s gravitation assist trajectory into the planet’s satellite orbit. To reduce the fuel consumption in this transition need to slow down the spacecraft’s velocity in the planet’s atmosphere and reduce its orbital transition time. The paper is devoted to the use of the planet’s atmosphere for slowing down the spacecraft during its transition into the satellite orbit with uncertain atmospheric parameters. To reduce the orbital transition time of the spacecraft is controlled by the change of attack angles’ values at the aerodynamic deceleration path and adjusting the minimum flight altitude of the spacecraft at the pericenter of the planet’s upper atmosphere. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aerobraking" title="aerobraking">aerobraking</a>, <a href="https://publications.waset.org/abstracts/search?q=atmosphere%20of%20the%20planet" title=" atmosphere of the planet"> atmosphere of the planet</a>, <a href="https://publications.waset.org/abstracts/search?q=orbital%20transition%20time" title=" orbital transition time"> orbital transition time</a>, <a href="https://publications.waset.org/abstracts/search?q=Spacecraft%E2%80%99s%20trajectory" title=" Spacecraft’s trajectory"> Spacecraft’s trajectory</a> </p> <a href="https://publications.waset.org/abstracts/46717/analysis-the-trajectory-of-the-spacecraft-during-the-transition-to-the-planets-orbit-using-aerobraking-in-the-atmosphere-of-the-planet" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46717.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28134</span> Object Trajectory Extraction by Using Mean of Motion Vectors Form Compressed Video Bitstream</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ching-Ting%20Hsu">Ching-Ting Hsu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei-Hua%20Ho"> Wei-Hua Ho</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Chun%20Chang"> Yi-Chun Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Video object tracking is one of the popular research topics in computer graphics area. The trajectory can be applied in security, traffic control, even the sports training. The trajectory for sports training can be utilized to analyze the athlete’s performance without traditional sensors. There are many relevant works which utilize mean shift algorithm with background subtraction. This kind of the schemes should select a kernel function which may affect the accuracy and performance. In this paper, we consider the motion information in the pre-coded bitstream. The proposed algorithm extracts the trajectory by composing the motion vectors from the pre-coded bitstream. We gather the motion vectors from the overlap area of the object and calculate mean of the overlapped motion vectors. We implement and simulate our proposed algorithm in H.264 video codec. The performance is better than relevant works and keeps the accuracy of the object trajectory. The experimental results show that the proposed trajectory extraction can extract trajectory form the pre-coded bitstream in high accuracy and achieve higher performance other relevant works. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.264" title="H.264">H.264</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20bitstream" title=" video bitstream"> video bitstream</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20object%20tracking" title=" video object tracking"> video object tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20training" title=" sports training"> sports training</a> </p> <a href="https://publications.waset.org/abstracts/34740/object-trajectory-extraction-by-using-mean-of-motion-vectors-form-compressed-video-bitstream" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34740.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">428</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28133</span> Numerical Predictions of Trajectory Stability of a High-Speed Water-Entry and Water-Exit Projectile </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lin%20Lu">Lin Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Qiang%20Li"> Qiang Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Tao%20Cai"> Tao Cai</a>, <a href="https://publications.waset.org/abstracts/search?q=Pengjun%20Zhang"> Pengjun Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, a detailed analysis of trajectory stability and flow characteristics of a high-speed projectile during the water-entry and water-exit process has been investigated numerically. The Zwart-Gerber-Belamri (Z-G-B) cavitation model and the SST k-ω turbulence model based on the Reynolds Averaged Navier-Stokes (RANS) method are employed. The numerical methodology is validated by comparing the experimental photograph of cavitation shape and the experimental underwater velocity with the numerical simulation results. Based on the numerical methodology, the influences of rotational speed, water-entry and water-exit angle of the projectile on the trajectory stability and flow characteristics have been carried out in detail. The variation features of projectile trajectory and total resistance have been conducted, respectively. In addition, the cavitation characteristics of water-entry and water-exit have been presented and analyzed. Results show that it may not be applicable for the water-entry and water-exit to achieve the projectile stability through the rotation of projectile. Furthermore, there ought to be a critical water-entry angle for the water-entry stability of practical projectile. The impact of water-exit angle on the trajectory stability and cavity phenomenon is not as remarkable as that of the water-entry angle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cavitation%20characteristics" title="cavitation characteristics">cavitation characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=high-speed%20projectile" title=" high-speed projectile"> high-speed projectile</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20predictions" title=" numerical predictions"> numerical predictions</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20stability" title=" trajectory stability"> trajectory stability</a>, <a href="https://publications.waset.org/abstracts/search?q=water-entry" title=" water-entry"> water-entry</a>, <a href="https://publications.waset.org/abstracts/search?q=water-exit" title=" water-exit"> water-exit</a> </p> <a href="https://publications.waset.org/abstracts/119865/numerical-predictions-of-trajectory-stability-of-a-high-speed-water-entry-and-water-exit-projectile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">136</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28132</span> Biomarkers, A Reliable Tool for Delineating Spill Trajectory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Okpor%20Victor">Okpor Victor</a>, <a href="https://publications.waset.org/abstracts/search?q=Selegha%20Abrakasa"> Selegha Abrakasa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Oil (Petroleum) spill occur frequently and in this era of a higher degree of awareness, it is pertinent that the trajectory of the spill is properly defined, to make certain of the area of impact by the spill. In this study, biomarkers that are known as the custodians of paleo information in oils are suggested to be used as reliable tools for defining the pathway of a spill. Samples were collected as tills alongside the GPS coordinates of the sample points suspected to have been impacted by a spill. Oils in the samples were extracted and analyzed as whole oil using GC–MS. Some biomarker parametric ratios were derived, and the ratio showed consistency of values along the sample trail from sample 1 to sample 20. The consistency of the values indicates that the oils at each sample point are the same hence the same value. This method can be used to validate the trajectory/pathway of a spill and also to define or establish a suspected pathway for a spill. The Oleanane/C30Hopane ratio showed good consistency and was suggested as a reliable parameter for establishing the trajectory of an oil spill. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spill" title="spill">spill</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory" title=" trajectory"> trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=pathway" title=" pathway"> pathway</a> </p> <a href="https://publications.waset.org/abstracts/173283/biomarkers-a-reliable-tool-for-delineating-spill-trajectory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173283.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">65</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28131</span> Iterative Dynamic Programming for 4D Flight Trajectory Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kawser%20Ahmed">Kawser Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Bousson"> K. Bousson</a>, <a href="https://publications.waset.org/abstracts/search?q=Milca%20F.%20Coelho"> Milca F. Coelho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 4D flight trajectory optimization is one of the key ingredients to improve flight efficiency and to enhance the air traffic capacity in the current air traffic management (ATM). The present paper explores the iterative dynamic programming (IDP) as a potential numerical optimization method for 4D flight trajectory optimization. IDP is an iterative version of the Dynamic programming (DP) method. Due to the numerical framework, DP is very suitable to deal with nonlinear discrete dynamic systems. The 4D waypoint representation of the flight trajectory is similar to the discretization by a grid system; thus DP is a natural method to deal with the 4D flight trajectory optimization. However, the computational time and space complexity demanded by the DP is enormous due to the immense number of grid points required to find the optimum, which prevents the use of the DP in many practical high dimension problems. On the other hand, the IDP has shown potentials to deal successfully with high dimension optimal control problems even with a few numbers of grid points at each stage, which reduces the computational effort over the traditional DP approach. Although the IDP has been applied successfully in chemical engineering problems, IDP is yet to be validated in 4D flight trajectory optimization problems. In this paper, the IDP has been successfully used to generate minimum length 4D optimal trajectory avoiding any obstacle in its path, such as a no-fly zone or residential areas when flying in low altitude to reduce noise pollution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=4D%20waypoint%20navigation" title="4D waypoint navigation">4D waypoint navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=iterative%20dynamic%20programming" title=" iterative dynamic programming"> iterative dynamic programming</a>, <a href="https://publications.waset.org/abstracts/search?q=obstacle%20avoidance" title=" obstacle avoidance"> obstacle avoidance</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20optimization" title=" trajectory optimization"> trajectory optimization</a> </p> <a href="https://publications.waset.org/abstracts/106496/iterative-dynamic-programming-for-4d-flight-trajectory-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106496.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28130</span> Real-Time Path Planning for Unmanned Air Vehicles Using Improved Rapidly-Exploring Random Tree and Iterative Trajectory Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Ramalho">A. Ramalho</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Romeiro"> L. Romeiro</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Ventura"> R. Ventura</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Suleman"> A. Suleman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A real-time path planning framework for Unmanned Air Vehicles, and in particular multi-rotors is proposed. The framework is designed to provide feasible trajectories from the current UAV position to a goal state, taking into account constraints such as obstacle avoidance, problem kinematics, and vehicle limitations such as maximum speed and maximum acceleration. The framework computes feasible paths online, allowing to avoid new, unknown, dynamic obstacles without fully re-computing the trajectory. These features are achieved using an iterative process in which the robot computes and optimizes the trajectory while performing the mission objectives. A first trajectory is computed using a modified Rapidly-Exploring Random Tree (RRT) algorithm, that provides trajectories that respect a maximum curvature constraint. The trajectory optimization is accomplished using the Interior Point Optimizer (IPOPT) as a solver. The framework has proven to be able to compute a trajectory and optimize to a locally optimal with computational efficiency making it feasible for real-time operations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=interior%20point%20optimization" title="interior point optimization">interior point optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-rotors" title=" multi-rotors"> multi-rotors</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20path%20planning" title=" online path planning"> online path planning</a>, <a href="https://publications.waset.org/abstracts/search?q=rapidly%20exploring%20random%20trees" title=" rapidly exploring random trees"> rapidly exploring random trees</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20optimization" title=" trajectory optimization"> trajectory optimization</a> </p> <a href="https://publications.waset.org/abstracts/109946/real-time-path-planning-for-unmanned-air-vehicles-using-improved-rapidly-exploring-random-tree-and-iterative-trajectory-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109946.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">135</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28129</span> Static vs. Stream Mining Trajectories Similarity Measures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Musaab%20Riyadh">Musaab Riyadh</a>, <a href="https://publications.waset.org/abstracts/search?q=Norwati%20Mustapha"> Norwati Mustapha</a>, <a href="https://publications.waset.org/abstracts/search?q=Dina%20Riyadh"> Dina Riyadh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Trajectory similarity can be defined as the cost of transforming one trajectory into another based on certain similarity method. It is the core of numerous mining tasks such as clustering, classification, and indexing. Various approaches have been suggested to measure similarity based on the geometric and dynamic properties of trajectory, the overlapping between trajectory segments, and the confined area between entire trajectories. In this article, an evaluation of these approaches has been done based on computational cost, usage memory, accuracy, and the amount of data which is needed in advance to determine its suitability to stream mining applications. The evaluation results show that the stream mining applications support similarity methods which have low computational cost and memory, single scan on data, and free of mathematical complexity due to the high-speed generation of data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20distance%20measure" title="global distance measure">global distance measure</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20distance%20measure" title=" local distance measure"> local distance measure</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20trajectory" title=" semantic trajectory"> semantic trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20dimension" title=" spatial dimension"> spatial dimension</a>, <a href="https://publications.waset.org/abstracts/search?q=stream%20data%20mining" title=" stream data mining"> stream data mining</a> </p> <a href="https://publications.waset.org/abstracts/94763/static-vs-stream-mining-trajectories-similarity-measures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94763.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">396</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28128</span> Understanding Regional Circulations That Modulate Heavy Precipitations in the Kulfo Watershed</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tesfay%20Mekonnen%20Weldegerima">Tesfay Mekonnen Weldegerima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Analysis of precipitation time series is a fundamental undertaking in meteorology and hydrology. The extreme precipitation scenario of the Kulfo River watershed is studied using wavelet analysis and atmospheric transport, a lagrangian trajectory model. Daily rainfall data for the 1991-2020 study periods are collected from the office of the Ethiopian Meteorology Institute. Meteorological fields on a three-dimensional grid at 0.5o x 0.5o spatial resolution and daily temporal resolution are also obtained from the Global Data Assimilation System (GDAS). Wavelet analysis of the daily precipitation processed with the lag-1 coefficient reveals some high power recurred once every 38 to 60 days with greater than 95% confidence for red noise. The analysis also identified inter-annual periodicity in the periods 2002 - 2005 and 2017 - 2019. Back trajectory analysis for 3-day periods up to May 19/2011, indicates the Indian Ocean source; trajectories crossed the eastern African escarpment to arrive at the Kulfo watershed. Atmospheric flows associated with the Western Indian monsoon redirected by the low-level Somali winds and Arabian ridge are responsible for the moisture supply. The time-localization of the wavelet power spectrum yields valuable hydrological information, and the back trajectory approaches provide useful characterization of air mass source. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20precipitation%20events" title="extreme precipitation events">extreme precipitation events</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20spectrum" title=" power spectrum"> power spectrum</a>, <a href="https://publications.waset.org/abstracts/search?q=back%20trajectory" title=" back trajectory"> back trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=kulfo%20watershed" title=" kulfo watershed"> kulfo watershed</a> </p> <a href="https://publications.waset.org/abstracts/171595/understanding-regional-circulations-that-modulate-heavy-precipitations-in-the-kulfo-watershed" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171595.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28127</span> Disease Trajectories in Relation to Poor Sleep Health in the UK Biobank</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiajia%20Peng">Jiajia Peng</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianqing%20Qiu"> Jianqing Qiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianjun%20Ren"> Jianjun Ren</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Zhao"> Yu Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Insufficient sleep has been focused on as a public health epidemic. However, a comprehensive analysis of disease trajectory associated with unhealthy sleep habits is still unclear currently. Objective: This study sought to comprehensively clarify the disease's trajectory in relation to the overall poor sleep pattern and unhealthy sleep behaviors separately. Methods: 410,682 participants with available information on sleep behaviors were collected from the UK Biobank at the baseline visit (2006-2010). These participants were classified as having high- and low risk of each sleep behavior and were followed from 2006 to 2020 to identify the increased risks of diseases. We used Cox regression to estimate the associations of high-risk sleep behaviors with the elevated risks of diseases, and further established diseases trajectory using significant diseases. The low-risk unhealthy sleep behaviors were defined as the reference. Thereafter, we also examined the trajectory of diseases linked with the overall poor sleep pattern by combining all of these unhealthy sleep behaviors. To visualize the disease's trajectory, network analysis was used for presenting these trajectories. Results: During a median follow-up of 12.2 years, we noted 12 medical conditions in relation to unhealthy sleep behaviors and the overall poor sleep pattern among 410,682 participants with a median age of 58.0 years. The majority of participants had unhealthy sleep behaviors; in particular, 75.62% with frequent sleeplessness, and 72.12% had abnormal sleep durations. Besides, a total of 16,032 individuals with an overall poor sleep pattern were identified. In general, three major disease clusters were associated with overall poor sleep status and unhealthy sleep behaviors according to the disease trajectory and network analysis, mainly in the digestive, musculoskeletal and connective tissue, and cardiometabolic systems. Of note, two circularity disease pairs (I25→I20 and I48→I50) showed the highest risks following these unhealthy sleep habits. Additionally, significant differences in disease trajectories were observed in relation to sex and sleep medication among individuals with poor sleep status. Conclusions: We identified the major disease clusters and high-risk diseases following participants with overall poor sleep health and unhealthy sleep behaviors, respectively. It may suggest the need to investigate the potential interventions targeting these key pathways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep" title="sleep">sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=poor%20sleep" title=" poor sleep"> poor sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=unhealthy%20sleep%20behaviors" title=" unhealthy sleep behaviors"> unhealthy sleep behaviors</a>, <a href="https://publications.waset.org/abstracts/search?q=disease%20trajectory" title=" disease trajectory"> disease trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=UK%20Biobank" title=" UK Biobank"> UK Biobank</a> </p> <a href="https://publications.waset.org/abstracts/156915/disease-trajectories-in-relation-to-poor-sleep-health-in-the-uk-biobank" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156915.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28126</span> A Deep Learning-Based Pedestrian Trajectory Prediction Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haozhe%20Xiang">Haozhe Xiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the rise of the Internet of Things era, intelligent products are gradually integrating into people's lives. Pedestrian trajectory prediction has become a key issue, which is crucial for the motion path planning of intelligent agents such as autonomous vehicles, robots, and drones. In the current technological context, deep learning technology is becoming increasingly sophisticated and gradually replacing traditional models. The pedestrian trajectory prediction algorithm combining neural networks and attention mechanisms has significantly improved prediction accuracy. Based on in-depth research on deep learning and pedestrian trajectory prediction algorithms, this article focuses on physical environment modeling and learning of historical trajectory time dependence. At the same time, social interaction between pedestrians and scene interaction between pedestrians and the environment were handled. An improved pedestrian trajectory prediction algorithm is proposed by analyzing the existing model architecture. With the help of these improvements, acceptable predicted trajectories were successfully obtained. Experiments on public datasets have demonstrated the algorithm's effectiveness and achieved acceptable results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20convolutional%20network" title=" graph convolutional network"> graph convolutional network</a>, <a href="https://publications.waset.org/abstracts/search?q=attention%20mechanism" title=" attention mechanism"> attention mechanism</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a> </p> <a href="https://publications.waset.org/abstracts/182188/a-deep-learning-based-pedestrian-trajectory-prediction-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182188.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28125</span> Investigation of Riders' Path on Horizontal Curves</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lemonakis%20Panagiotis">Lemonakis Panagiotis</a>, <a href="https://publications.waset.org/abstracts/search?q=Eliou%20Nikos"> Eliou Nikos</a>, <a href="https://publications.waset.org/abstracts/search?q=Karakasidis%20Theodoros"> Karakasidis Theodoros</a>, <a href="https://publications.waset.org/abstracts/search?q=Botzoris%20George"> Botzoris George</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is well known that trajectory along with speed are two of the most important contributing factors in road accidents. Trajectory is meant as the "line“, usually different from the center-line that a driver traverses through horizontal curves which depends on the characteristics of the road environment (especially the curvature), the vehicle and the driver himself. Drivers and especially riders, tend to broaden their paths in order to succeed greater path radiuses and hence, reduce the applied centrifugal force enhancing safety. The objective of the present research is to investigate riders’ path on horizontal curves. Within the context of the research, field measurements were conducted on a rural two lane highway, with the participation of eight riders and the use of an instrumented motorcycle. The research has shown that the trajectory of the riders is correlated to the radius and the length of the horizontal curve as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trajectory" title="trajectory">trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=path" title=" path"> path</a>, <a href="https://publications.waset.org/abstracts/search?q=riders" title=" riders"> riders</a>, <a href="https://publications.waset.org/abstracts/search?q=horizontal%20curves" title=" horizontal curves"> horizontal curves</a> </p> <a href="https://publications.waset.org/abstracts/5089/investigation-of-riders-path-on-horizontal-curves" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5089.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28124</span> Trajectory Tracking of a 2-Link Mobile Manipulator Using Sliding Mode Control Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abolfazl%20Mohammadijoo">Abolfazl Mohammadijoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we are investigating the sliding mode control approach for trajectory tracking of a two-link-manipulator with a wheeled mobile robot in its base. The main challenge of this work is the dynamic interaction between mobile base and manipulator, which makes trajectory tracking more difficult than n-link manipulators with a fixed base. Another challenging part of this work is to avoid from chattering phenomenon of sliding mode control that makes lots of damages for actuators in real industrial cases. The results show the effectiveness of the sliding mode control approach for the desired trajectory. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20manipulator" title="mobile manipulator">mobile manipulator</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20control" title=" sliding mode control"> sliding mode control</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20interaction" title=" dynamic interaction"> dynamic interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20robotics" title=" mobile robotics"> mobile robotics</a> </p> <a href="https://publications.waset.org/abstracts/128498/trajectory-tracking-of-a-2-link-mobile-manipulator-using-sliding-mode-control-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128498.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">189</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28123</span> Dissecting Big Trajectory Data to Analyse Road Network Travel Efficiency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rania%20Alshikhe">Rania Alshikhe</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinita%20Jindal"> Vinita Jindal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Digital innovation has played a crucial role in managing smart transportation. For this, big trajectory data collected from traveling vehicles, such as taxis through installed global positioning system (GPS)-enabled devices can be utilized. It offers an unprecedented opportunity to trace the movements of vehicles in fine spatiotemporal granularity. This paper aims to explore big trajectory data to measure the travel efficiency of road networks using the proposed statistical travel efficiency measure (STEM) across an entire city. Further, it identifies the cause of low travel efficiency by proposed least square approximation network-based causality exploration (LANCE). Finally, the resulting data analysis reveals the causes of low travel efficiency, along with the road segments that need to be optimized to improve the traffic conditions and thus minimize the average travel time from given point A to point B in the road network. Obtained results show that our proposed approach outperforms the baseline algorithms for measuring the travel efficiency of the road network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GPS%20trajectory" title="GPS trajectory">GPS trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20network" title=" road network"> road network</a>, <a href="https://publications.waset.org/abstracts/search?q=taxi%20trips" title=" taxi trips"> taxi trips</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20map" title=" digital map"> digital map</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=STEM" title=" STEM"> STEM</a>, <a href="https://publications.waset.org/abstracts/search?q=LANCE" title=" LANCE"> LANCE</a> </p> <a href="https://publications.waset.org/abstracts/134185/dissecting-big-trajectory-data-to-analyse-road-network-travel-efficiency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134185.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">157</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28122</span> Trajectory Planning Algorithms for Autonomous Agricultural Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Caner%20Koc">Caner Koc</a>, <a href="https://publications.waset.org/abstracts/search?q=Dilara%20Gerdan%20Koc"> Dilara Gerdan Koc</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Vatandas"> Mustafa Vatandas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fundamental components of autonomous agricultural robot design, such as having a working understanding of coordinates, correctly constructing the desired route, and sensing environmental elements, are the most important. A variety of sensors, hardware, and software are employed by agricultural robots to find these systems.These enable the fully automated driving system of an autonomous vehicle to simulate how a human-driven vehicle would respond to changing environmental conditions. To calculate the vehicle's motion trajectory using data from the sensors, this automation system typically consists of a sophisticated software architecture based on object detection and driving decisions. In this study, the software architecture of an autonomous agricultural vehicle is compared to the trajectory planning techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture%205.0" title="agriculture 5.0">agriculture 5.0</a>, <a href="https://publications.waset.org/abstracts/search?q=computational%20intelligence" title=" computational intelligence"> computational intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=motion%20planning" title=" motion planning"> motion planning</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20planning" title=" trajectory planning"> trajectory planning</a> </p> <a href="https://publications.waset.org/abstracts/165714/trajectory-planning-algorithms-for-autonomous-agricultural-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165714.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28121</span> Visual Analytics of Higher Order Information for Trajectory Datasets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ye%20Wang">Ye Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ickjai%20Lee"> Ickjai Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the widespread of mobile sensing, there is a strong need to handle trails of moving objects, trajectories. This paper proposes three visual analytic approaches for higher order information of trajectory data sets based on the higher order Voronoi diagram data structure. Proposed approaches reveal geometrical information, topological, and directional information. Experimental results demonstrate the applicability and usefulness of proposed three approaches. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=visual%20analytics" title="visual analytics">visual analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=higher%20order%20information" title=" higher order information"> higher order information</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20datasets" title=" trajectory datasets"> trajectory datasets</a>, <a href="https://publications.waset.org/abstracts/search?q=spatio-temporal%20data" title=" spatio-temporal data"> spatio-temporal data</a> </p> <a href="https://publications.waset.org/abstracts/2630/visual-analytics-of-higher-order-information-for-trajectory-datasets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2630.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">402</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28120</span> Direct Transient Stability Assessment of Stressed Power Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Popov">E. Popov</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Yorino"> N. Yorino</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Zoka"> Y. Zoka</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Sasaki"> Y. Sasaki</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Sugihara"> H. Sugihara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses the performance of critical trajectory method (CTrj) for power system transient stability analysis under various loading settings and heavy fault condition. The method obtains Controlling Unstable Equilibrium Point (CUEP) which is essential for estimation of power system stability margins. The CUEP is computed by applying the CTrjto the boundary controlling unstable equilibrium point (BCU) method. The Proposed method computes a trajectory on the stability boundary that starts from the exit point and reaches CUEP under certain assumptions. The robustness and effectiveness of the method are demonstrated via six power system models and five loading conditions. As benchmark is used conventional simulation method whereas the performance is compared with and BCU Shadowing method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20system" title="power system">power system</a>, <a href="https://publications.waset.org/abstracts/search?q=transient%20stability" title=" transient stability"> transient stability</a>, <a href="https://publications.waset.org/abstracts/search?q=critical%20trajectory%20method" title=" critical trajectory method"> critical trajectory method</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20function%20method" title=" energy function method"> energy function method</a> </p> <a href="https://publications.waset.org/abstracts/9481/direct-transient-stability-assessment-of-stressed-power-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9481.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">386</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28119</span> HBTOnto: An Ontology Model for Analyzing Human Behavior Trajectories</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Heba%20M.%20Wagih">Heba M. Wagih</a>, <a href="https://publications.waset.org/abstracts/search?q=Hoda%20M.%20O.%20Mokhtar"> Hoda M. O. Mokhtar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social Network has recently played a significant role in both scientific and social communities. The growing adoption of social network applications has been a relevant source of information nowadays. Due to its popularity, several research trends are emerged to service the huge volume of users including, Location-Based Social Networks (LBSN), Recommendation Systems, Sentiment Analysis Applications, and many others. LBSNs applications are among the highly demanded applications that do not focus only on analyzing the spatiotemporal positions in a given raw trajectory but also on understanding the semantics behind the dynamics of the moving object. LBSNs are possible means of predicting human mobility based on users social ties as well as their spatial preferences. LBSNs rely on the efficient representation of users’ trajectories. Hence, traditional raw trajectory information is no longer convenient. In our research, we focus on studying human behavior trajectory which is the major pillar in location recommendation systems. In this paper, we propose an ontology design patterns with their underlying description logics to efficiently annotate human behavior trajectories. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20behavior%20trajectory" title="human behavior trajectory">human behavior trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=location-based%20social%20network" title=" location-based social network"> location-based social network</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology" title=" ontology"> ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a> </p> <a href="https://publications.waset.org/abstracts/34032/hbtonto-an-ontology-model-for-analyzing-human-behavior-trajectories" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34032.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">452</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28118</span> Analysis of Dynamics Underlying the Observation Time Series by Using a Singular Spectrum Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20Delage">O. Delage</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Bencherif"> H. Bencherif</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Portafaix"> T. Portafaix</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Bourdier"> A. Bourdier</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main purpose of time series analysis is to learn about the dynamics behind some time ordered measurement data. Two approaches are used in the literature to get a better knowledge of the dynamics contained in observation data sequences. The first of these approaches concerns time series decomposition, which is an important analysis step allowing patterns and behaviors to be extracted as components providing insight into the mechanisms producing the time series. As in many cases, time series are short, noisy, and non-stationary. To provide components which are physically meaningful, methods such as Empirical Mode Decomposition (EMD), Empirical Wavelet Transform (EWT) or, more recently, Empirical Adaptive Wavelet Decomposition (EAWD) have been proposed. The second approach is to reconstruct the dynamics underlying the time series as a trajectory in state space by mapping a time series into a set of Rᵐ lag vectors by using the method of delays (MOD). Takens has proved that the trajectory obtained with the MOD technic is equivalent to the trajectory representing the dynamics behind the original time series. This work introduces the singular spectrum decomposition (SSD), which is a new adaptive method for decomposing non-linear and non-stationary time series in narrow-banded components. This method takes its origin from singular spectrum analysis (SSA), a nonparametric spectral estimation method used for the analysis and prediction of time series. As the first step of SSD is to constitute a trajectory matrix by embedding a one-dimensional time series into a set of lagged vectors, SSD can also be seen as a reconstruction method like MOD. We will first give a brief overview of the existing decomposition methods (EMD-EWT-EAWD). The SSD method will then be described in detail and applied to experimental time series of observations resulting from total columns of ozone measurements. The results obtained will be compared with those provided by the previously mentioned decomposition methods. We will also compare the reconstruction qualities of the observed dynamics obtained from the SSD and MOD methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=time%20series%20analysis" title="time series analysis">time series analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20time%20series%20decomposition" title=" adaptive time series decomposition"> adaptive time series decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelet" title=" wavelet"> wavelet</a>, <a href="https://publications.waset.org/abstracts/search?q=phase%20space%20reconstruction" title=" phase space reconstruction"> phase space reconstruction</a>, <a href="https://publications.waset.org/abstracts/search?q=singular%20spectrum%20analysis" title=" singular spectrum analysis"> singular spectrum analysis</a> </p> <a href="https://publications.waset.org/abstracts/147886/analysis-of-dynamics-underlying-the-observation-time-series-by-using-a-singular-spectrum-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147886.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">104</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28117</span> Determining Abnomal Behaviors in UAV Robots for Trajectory Control in Teleoperation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kiwon%20Yeom">Kiwon Yeom</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Change points are abrupt variations in a data sequence. Detection of change points is useful in modeling, analyzing, and predicting time series in application areas such as robotics and teleoperation. In this paper, a change point is defined to be a discontinuity in one of its derivatives. This paper presents a reliable method for detecting discontinuities within a three-dimensional trajectory data. The problem of determining one or more discontinuities is considered in regular and irregular trajectory data from teleoperation. We examine the geometric detection algorithm and illustrate the use of the method on real data examples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=change%20point" title="change point">change point</a>, <a href="https://publications.waset.org/abstracts/search?q=discontinuity" title=" discontinuity"> discontinuity</a>, <a href="https://publications.waset.org/abstracts/search?q=teleoperation" title=" teleoperation"> teleoperation</a>, <a href="https://publications.waset.org/abstracts/search?q=abrupt%20variation" title=" abrupt variation"> abrupt variation</a> </p> <a href="https://publications.waset.org/abstracts/78413/determining-abnomal-behaviors-in-uav-robots-for-trajectory-control-in-teleoperation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78413.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28116</span> Parking Space Detection and Trajectory Tracking Control for Vehicle Auto-Parking</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shiuh-Jer%20Huang">Shiuh-Jer Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu-Sheng%20Hsu"> Yu-Sheng Hsu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> On-board available parking space detecting system, parking trajectory planning and tracking control mechanism are the key components of vehicle backward auto-parking system. Firstly, pair of ultrasonic sensors is installed on each side of vehicle body surface to detect the relative distance between ego-car and surrounding obstacle. The dimension of a found empty space can be calculated based on vehicle speed and the time history of ultrasonic sensor detecting information. This result can be used for constructing the 2D vehicle environmental map and available parking type judgment. Finally, the auto-parking controller executes the on-line optimal parking trajectory planning based on this 2D environmental map, and monitors the real-time vehicle parking trajectory tracking control. This low cost auto-parking system was tested on a model car. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle%20auto-parking" title="vehicle auto-parking">vehicle auto-parking</a>, <a href="https://publications.waset.org/abstracts/search?q=parking%20space%20detection" title=" parking space detection"> parking space detection</a>, <a href="https://publications.waset.org/abstracts/search?q=parking%20path%20tracking%20control" title=" parking path tracking control"> parking path tracking control</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20fuzzy%20controller" title=" intelligent fuzzy controller"> intelligent fuzzy controller</a> </p> <a href="https://publications.waset.org/abstracts/78571/parking-space-detection-and-trajectory-tracking-control-for-vehicle-auto-parking" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78571.pdf" target="_blank" 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