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Journal articles on the topic 'Pre-defined path'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Hesser, J., and S. König. "Live-Wires Using Path-Graphs." Methods of Information in Medicine 43, no. 04 (2004): 371–75. http://dx.doi.org/10.1055/s-0038-1633880.

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Summary Objectives: This article discusses our new Path-Graph approach for the interactive Live-Wire segmentation method in 2D applied to pre-segmented data. Furthermore, we examine whether or not the Live-Lane extension provides advantages in combination with pre-segmentation. Methods: We automatically over-segment the image data in a preprocessing step, using region growing with an automatic seed point generation. The Live-Wire algorithm is applied on this mosaic data by using the outlines of the homogeneous regions as the basis for graph building. We present a new definition of this underly

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Massaro, Matteo, Stefano Lovato, Matteo Bottin, and Giulio Rosati. "An Optimal Control Approach to the Minimum-Time Trajectory Planning of Robotic Manipulators." Robotics 12, no. 3 (2023): 64. http://dx.doi.org/10.3390/robotics12030064.

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Trajectory planning is a classic problem in robotics, with different approaches and optimisation objectives documented in the literature. Most of the time, the path is assumed, i.e., pre-defined, and optimisation consists of finding the timing of motion under a number of constraints. The focus of this work is on the minimum-time manoeuvring of robotic manipulators. A nonlinear optimal control approach is proposed that does not require the provision of either a pre-defined path or a pre-defined control structure and allows the inclusion of dynamic constraints. The solution (path and timing of m

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Yang, Hangqi. "Analysis and study on path planning algorithms in the further mobile action." Journal of Physics: Conference Series 2824, no. 1 (2024): 012006. http://dx.doi.org/10.1088/1742-6596/2824/1/012006.

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Abstract This study investigates the use of four common path planning algorithms - RRT (Rapidly-Exploring Random Tree), Dijkstra, A*, and ACO (Ant Colony Optimization) - for autonomous endpoint search in pre-defined grid mazes. Path planning is a crucial problem in robot navigation, involving the ability to find optimal paths with the minimum running time in complex environments. In this research, it firstly introduces the basic principles and mechanisms of each algorithm. RRT is a random sampling-based algorithm that explores the search space by generating a tree-like structure randomly. Base

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Atzmon, Dor, Roni Stern, Ariel Felner, Glenn Wagner, Roman Bartak, and Neng-Fa Zhou. "Robust Multi-Agent Path Finding." Proceedings of the International Symposium on Combinatorial Search 9, no. 1 (2021): 2–9. http://dx.doi.org/10.1609/socs.v9i1.18445.

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In the multi-agent path-finding (MAPF) problem, the task is to find a plan for moving a set of agents from their initial locations to their goals without collisions. Following this plan, however, may not be possible due to unexpected events that delay some of the agents. We explore the notion of k-robust MAPF, where the task is to find a plan that can be followed even if a limited number of such delays occur. k-robust MAPF is especially suitable for agents with a control mechanism that guarantees that each agent is within a limited number of steps away from its pre-defined plan. We propose suf

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Hasan, Hameedah Sahib. "Automated Guided Vehicle, Routing and algorithms." Science Proceedings Series 1, no. 2 (2019): 1–3. http://dx.doi.org/10.31580/sps.v1i2.562.

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The routing problem of Automated Guided Vehicle (AGV) targets to discovery the shortest path between two station. AGV is used widly in transporting sysrems. Earily it used in static routing (pre-defined routes), which follow fixed line. Instead of using fixed path, there is another type which is dynamic routing can use to add a high flexibility to the system.To accommodate the increased flexibility and reduce time. In this paper, routing of AGV is introduced. Different AGV shortest path algorithms are presented with highlights their main differences between them. Furthermore, AGV routing in re

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Morris, A. S., and M. A. Mansor. "Manipulator Inverse Kinematics using an Adaptive Back-propagation Algorithm and Radial Basis Function with a Lookup Table." Robotica 16, no. 4 (1998): 433–44. http://dx.doi.org/10.1017/s0263574798001064.

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This is an extension of previous work which used an artificial neural network with a back-propagation algorithm and a lookup table to find the inverse kinematics for a manipulator arm moving along pre-defined trajectories. The work now described shows that the performance of this technique can be improved if the back-propagation is made to be adaptive. Also, further improvement is obtained by using the whole workspace to train the neural network rather than just a pre-defined path. For the inverse kinematics of the whole workspace, a comparison has also been done between the adaptive back-prop

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Chiariotti, Federico, Stepan Kucera, Andrea Zanella, and Holger Claussen. "Analysis and Design of a Latency Control Protocol for Multi-Path Data Delivery With Pre-Defined QoS Guarantees." IEEE/ACM Transactions on Networking 27, no. 3 (2019): 1165–78. http://dx.doi.org/10.1109/tnet.2019.2911122.

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Viraja, K. "Pick and Place an Object with Robot Gripper Using Arduino." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 255–58. http://dx.doi.org/10.22214/ijraset.2023.56462.

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Abstract: This paper presents an automatic system that picks an object from one location and places it in another location. A rover features with special type of wheels called Mecanum wheels. A pre-defined path is designed, and the rover is programmed to move the rover in the desired path. The Arduino IDE software tool is used to write the program and the program is being dumped into the microcontroller. A gripper with two arms is used to pick and place objects that are functionally similar to a hand.

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Ryu, Seokhoon, Jihea Lim, Young-Sup Lee, Eunsuk Yoo, and Chasub Lim. "Enhancing Engine Order Sound Using Additive Feedforward Control for a Secondary Path with Uncertainty at Higher Frequencies." Applied Sciences 12, no. 9 (2022): 4486. http://dx.doi.org/10.3390/app12094486.

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An active sound profiling (ASP) control algorithm based on the command FxLMS with an additive feedforward enhancement is suggested to overcome the limited performance to track a pre-defined target sound in a car cabin when an electronic sound generator (ESG) attached to a cowl panel of a car was adopted as a secondary actuator. As the uncertainty of the secondary path including the ESG-cowl pair was increased especially at higher frequencies, the tracking performance of a pure ASP algorithm was limited. The feedforward enhancement was added to the pure ASP algorithm to allow a robust tracking

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YANG, C. D., D. T. LEE, and C. K. WONG. "ON BENDS AND LENGTHS OF RECTILINEAR PATHS: A GRAPH-THEORETIC APPROACH." International Journal of Computational Geometry & Applications 02, no. 01 (1992): 61–74. http://dx.doi.org/10.1142/s0218195992000056.

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We consider the problem of finding a rectilinear path between two designated points in the presence of rectilinear obstacles subject to various optimization functions in terms of the number of bends and the total length of the path. Specifically we are interested in finding a minimum bend shortest path, a shortest minimum bend path or a least-cost path where the cost is defined as a function of both the length and the number of bends of the path. We provide a unified approach by constructing a path-preserving graph. guaranteed to preserve all these three kinds of paths and give an O(K+e log e)

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Lee, Shin-Jye, Ching-Hsun Tseng, Hui-Yu Yang, et al. "Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support." Entropy 24, no. 5 (2022): 617. http://dx.doi.org/10.3390/e24050617.

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In the era of bathing in big data, it is common to see enormous amounts of data generated daily. As for the medical industry, not only could we collect a large amount of data, but also see each data set with a great number of features. When the number of features is ramping up, a common dilemma is adding computational cost during inferring. To address this concern, the data rotational method by PCA in tree-based methods shows a path. This work tries to enhance this path by proposing an ensemble classification method with an AdaBoost mechanism in random, automatically generating rotation subset

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Wang, Hua, Xi Chen, and Zhonghua Miao. "Target Points Tracking Control for Autonomous Cleaning Vehicle Based on the LSTM Network." Applied Sciences 9, no. 18 (2019): 3806. http://dx.doi.org/10.3390/app9183806.

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In order to efficiently and exactly in tracking the desired path points, autonomous cleaning vehicles have to adapt their own behavior according to the perceived environmental information. This paper proposes a target points tracking control algorithm based on the Long Short-Term Memory network, which can generate the speed and yaw rate to arrive at the target point in real time. The target point is obtained by a parameter named foresight distance that is deduced based on the fuzzy control, whose inputs are the speed and yaw rate of the vehicle at the current point. The effectiveness of the pr

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Wu, Junfeng, Huan Wang, Shanshan Li, and Shuguang Liu. "Distributed Adaptive Path-Following Control for Distance-Based Formation of Fixed-Wing UAVs under Input Saturation." Aerospace 10, no. 9 (2023): 768. http://dx.doi.org/10.3390/aerospace10090768.

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This paper investigates the distance-based formation and cooperative path-following control problems for multiple fixed-wing unmanned aerial vehicles (UAVs). In this study, we design the distance-based formation control structure to achieve the virtual leader and followers pre-defined rigid formation pattern, ensuring simultaneously relative localization. A path-following control strategy based on adaptive dynamic surface and neural network control technology is proposed to approximate the uncertain disturbances of the environment and unmodeled dynamics. And the longitudinal and lateral subsys

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Zakaria, Muhammad Aizzat, Hairi Zamzuri, Rosbi Mamat, and Saiful Amri Mazlan. "Optimized Potential Radius Reference Generator Algorithm for Autonomous Vehicle Controller Development." Applied Mechanics and Materials 663 (October 2014): 198–202. http://dx.doi.org/10.4028/www.scientific.net/amm.663.198.

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Trajectory tracking for autonomous vehicle is one of the field that researchers pay attention. The ultimate goal for trajectory tracking is to track the pre-defined path and follow the reference path with zero steady state error. The common modules for trajectory tracking field are reference generator, controller and plant. While most of the researchers are focusing on the controller development, less work has focused on the optimized reference generator. Optimized reference generator ensures the reference input to the controller is the optimized desired points in order to develop a good contr

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Li, Yi, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, and Yiming Wang. "GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (2021): 4206–14. http://dx.doi.org/10.1609/aaai.v35i5.16544.

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Heterogeneous information networks (HINs) are ideal for describing real-world data with different types of entities and relationships. To carry out machine learning on HINs, meta-paths are widely utilized to extract semantics with pre-defined patterns, and models such as graph convolutional networks (GCNs) are thus enabled. However, previous works generally assume a fixed set of meta-paths, which is unrealistic as real-world data are overwhelmingly diverse. Therefore, it is appealing if meta-paths can be automatically selected given an HIN, yet existing works aiming at such problem possess dra

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Gallina, P., and Alberto Trevisani. "Delayed Reference Control of a Two-Mass Elastic System." Journal of Vibration and Control 10, no. 1 (2004): 135–59. http://dx.doi.org/10.1177/1077546304036920.

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An innovative non-time-based control scheme for path tracking and vibration control of a two-mass system is introduced in this paper. The basic idea of the scheme, called delayed reference control (DRC), is to make the path reference of the system be a function of an action reference parameter which depends both on time and a variable which plays the role of a time delay. By suitably computing the value of the delay on the basis of the vibration measured, such vibration can be actively suppressed while an independent position regulator ensures an accurate tracking of the desired path. The DRC

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Pitetzis, Dimitrios, Christos Frantzidis, Elizabeth Psoma, et al. "The Pre-Interictal Network State in Idiopathic Generalized Epilepsies." Brain Sciences 13, no. 12 (2023): 1671. http://dx.doi.org/10.3390/brainsci13121671.

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Generalized spike wave discharges (GSWDs) are the typical electroencephalographic findings of Idiopathic Generalized Epilepsies (IGEs). These discharges are either interictal or ictal and recent evidence suggests differences in their pathogenesis. The aim of this study is to investigate, through functional connectivity analysis, the pre-interictal network state in IGEs, which precedes the formation of the interictal GSWDs. A high-density electroencephalogram (HD-EEG) was recorded in twenty-one patients with IGEs, and cortical connectivity was analyzed based on lagged coherence and individual a

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18

Hoque, Mohammad Ashraful, MD Shibli Mollah, and MD Razu. "Feasibility Analysis of the Algorithms: Secured and Efficient Routing Path Update in Software Defined Networking (SDN)." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 6 (2019): 59–64. http://dx.doi.org/10.17762/ijritcc.v7i6.5325.

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Software-defined networking is the talk of the town in today’s networking industry. Because of the limitations of traditional networking, SDN is getting more popular every year. Lots of researches are taking place to improve the efficiency and overcome the challenges of SDN though it has many advantages. Hence one key problem of SDN is the network update. If the route update does not perform well, it causes congestion and inconsistencies in the network system whereas bandwidth utilization and security is our main concern. We have compared two pre-built algorithms especially for routing path up

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Yang, Lei, Simin Wang, Fengjie Liang, and Zheng Zhao. "A Holistic Approach for Optimal Pre-Planning of Multi-Path Standardized Taxiing Routes." Aerospace 8, no. 9 (2021): 241. http://dx.doi.org/10.3390/aerospace8090241.

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Standardized Taxiing Routes (STRs) are defined as published taxiing-in and taxiing-out routes for aircraft between gates and runways, aiming at improving ground movement safety at busy or complex airports. Most of the STRs specify only one path between each O–D (Origin–Destination) pair, which compromises the flexibility of route choice in time-varying traffic scenarios. In this paper, we present a holistic approach of planning and validating Multi-Path Standardized Taxiing Routes (MPSTRs) based on System-Optimal Traffic Assignment (SOTA), by firstly defining the flow-based congestion cost of

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Zhang, Yi, Lanxin Qiu, Yangzhou Xu, et al. "Multi-Path Routing Algorithm Based on Deep Reinforcement Learning for SDN." Applied Sciences 13, no. 22 (2023): 12520. http://dx.doi.org/10.3390/app132212520.

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Software-Defined Networking (SDN) enhances network control but faces Distributed Denial of Service (DDoS) attacks due to centralized control and flow-table constraints in network devices. To overcome this limitation, we introduce a multi-path routing algorithm for SDN called Trust-Based Proximal Policy Optimization (TBPPO). TBPPO incorporates a Kullback–Leibler divergence (KL divergence) trust value and a node diversity mechanism as the security assessment criterion, aiming to mitigate issues such as network fluctuations, low robustness, and congestion, with a particular emphasis on countering

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An, Jiping, Xinhong Li, Zhibin Zhang, et al. "Path Planning for Self-Collision Avoidance of Space Modular Self-Reconfigurable Satellites." Aerospace 9, no. 3 (2022): 141. http://dx.doi.org/10.3390/aerospace9030141.

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Space modular self-reconfigurable satellite (SMSRS) is a new type of satellite. The research on self-collision avoidance of SMSRS is important for its on-orbit safety but is not completely solved. This paper offers a new method for joint path planning for self-collision avoidance of SMSRS. Firstly, we establish the collision detection model for SMSRS based on forward kinematics and the spherical nonholonomic envelope to detect the collision occurring in SMSRS. Then, to achieve offline path planning in joint space, we proposed the self-collision avoidance strategy, which splices multiple C-spac

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Karakaya, Suat, Gurkan Kucukyildiz, and Hasan Ocak. "A dynamic path planning method for wheeled mobile robots (Dyna-bug)." Global Journal of Computer Sciences: Theory and Research 7, no. 3 (2017): 123–28. http://dx.doi.org/10.18844/gjcs.v7i3.2791.

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Abstract  In this study, a hybrid path-planning scheme is presented. The main contribution of this paper is merging the static grid costs of the global map and the immediate environmental structure of the local map. The stationary condition of the map and the instant local goal is weighted by certain coefficients in order to determine the next move of the wheeled mobile robot (WMR). Thus, the cost function is defined in terms of the grid costs and the dynamic parameters. The main assumption is that the WMR on which this scheme is executed must be equipped with a field scanning sens

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Zhao, Geng, Kefeng Xuan, David Taniar, Maytham Safar, and Bala Srinivasan. "Time constraint route search over multi-locations." Knowledge Engineering Review 29, no. 2 (2014): 217–33. http://dx.doi.org/10.1017/s0269888914000058.

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AbstractTraditional Route Search aims at finding the path that goes through geographical entities that are relevant to the provided search terms from the start point to the end point. Without constraints, traditional Route Search visiting multiple locations is unreliable because locations may close after a specified time. In this paper, time constraint (operating hours of each location) is drawn into Route Search query in order to make the query more realistic. Two methods are proposed in this paper, namely Route Search for fixed locations (RFix) and Route Search for flexible locations (RFlex)

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Han, Joong-hee, and Chi-ho Park. "Development of an Autonomous Driving Path-Generation Algorithm for a Crawler-Type Ridge-Forming Robot." Applied Sciences 15, no. 2 (2025): 987. https://doi.org/10.3390/app15020987.

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The agricultural sector is currently facing problems including a decline in the agricultural population, labor shortages, and an aging population. To solve these problems and increase agricultural productivity, the development and distribution of autonomous agricultural machinery is necessary. Since autonomous agricultural machinery is operated along a pre-defined path, it is essential to generate an autonomous driving path that takes into account the driving and working methods of the agricultural machinery. In this study, an autonomous driving path-generation algorithm for the autonomous ope

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Hartman, Laurie J., Megan L. Heinrich, Ashley M. Zovanyi, et al. "Demonstration of the Pre–Emergency Use Authorization Path Using 3 Minor Groove Binder–Hydrolysis Probe Assays to Detect Escherichia coli O104:H4." Clinical Chemistry 61, no. 11 (2015): 1391–98. http://dx.doi.org/10.1373/clinchem.2015.242750.

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Abstract BACKGROUND The Department of Defense (DoD) and the Food and Drug Administration (FDA) have collaboratively worked on a pre–Emergency Use Authorization (pre-EUA) process for in vitro diagnostic (IVD) devices, using FDA's regulatory flexibilities under the EUA authorities. The pre-EUA process enables FDA review of data in anticipation of a request for an EUA, advancing US government public health emergency preparedness efforts. METHODS The IVD device developed to detect Escherichia coli O104:H4, for which an EUA has not been issued, serves as an example to illustrate that process. Speci

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Kim, Jieun, Hongki Sung, Kyoosoo Cheong, Tae-Hoon Kim, and Junhee Youn. "UAV 2D Path Planning Considering Ground Suitability for Flying Safety in Digital Twin." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 269–74. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-269-2024.

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Abstract. The utilization of various UAVs such as facility inspection and delivery is increasing. Ensuring safety in carrying out various UAV missions is an important issue related to human and property damage. Safe operation of UAVs flying autonomously along pre-located routes requires safe route planning to prevent collisions between aircraft in consideration of ground and air obstacles. Pass flight is also essential to minimize damage in the event of a crash. This paper deals with the optimal UAV 2D routing plan considering ground compatibility for flight safety. High ground compatibility h

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Krishna Karne, Radha, Dudimetla Prasad, Uzma Naseem, Ashok Battula, and Karthik Kumar Vaigandla. "GENETIC ALGORITHM FOR WIRELESS SENSOR NETWORKS." International Journal of Engineering Applied Sciences and Technology 6, no. 8 (2021): 97–103. http://dx.doi.org/10.33564/ijeast.2021.v06i08.018.

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Ad hoc networks are made up of a collection of wireless mobile nodes that form a temporary network with no pre-existing infrastructure or centralized management.Routing policies are crucial in determining how traffic is forwarded across a network. Adhoc networks necessitate a routing method that is very adaptable. Finding the shortest path (SP) between source and destination in a specific period of time to meet Quality of Service standards is one of the most common issues in these networks (QoS). QoS routing is difficult in an Ad hoc network because the topology changes frequently and it takes

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Wakabayashi, Hironobu, Yutaka Hiroi, Kenzaburo Miyawaki, and Akinori Ito. "Development of a Personal Guide Robot That Leads a Guest Hand-in-Hand While Keeping a Distance." Sensors 24, no. 7 (2024): 2345. http://dx.doi.org/10.3390/s24072345.

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This paper proposes a novel tour guide robot, “ASAHI ReBorn”, which can lead a guest by hand one-on-one while maintaining a proper distance from the guest. The robot uses a stretchable arm interface to hold the guest’s hand and adjusts its speed according to the guest’s pace. The robot also follows a given guide path accurately using the Robot Side method, a robot navigation method that follows a pre-defined path quickly and accurately. In addition, a control method is introduced that limits the angular velocity of the robot to avoid the robot’s quick turn while guiding the guest. We evaluated

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Fernandes, Manuel C. R. M., Sérgio Vinha, Luís Tiago Paiva, and Fernando A. C. C. Fontes. "L0 and L1 Guidance and Path-Following Control for Airborne Wind Energy Systems." Energies 15, no. 4 (2022): 1390. http://dx.doi.org/10.3390/en15041390.

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For an efficient and reliable operation of an Airborne Wind Energy System, it is widely accepted that the kite should follow a pre-defined optimized path. In this article, we address the problem of designing a trajectory controller so that such path is closely followed. The path-following controllers investigated are based on a well-known nonlinear guidance logic termed L1 and on a proposed modification of it, which we termed L0. We have developed and implemented both L0 and L1 controllers for an AWES. The two controllers have an easy implementation with an explicit expression for the control

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Wen, Naifeng, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan, and Dian Jiao. "COLREGs-Based Path Planning for USVs Using the Deep Reinforcement Learning Strategy." Journal of Marine Science and Engineering 11, no. 12 (2023): 2334. http://dx.doi.org/10.3390/jmse11122334.

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This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the International Regulations for Preventing Collisions at Sea (COLREGs) and considering the collision-avoidance problem within the USV fleet and between USVs and target ships (TSs). To achieve this, the study presents a dual COLREGs-compliant action-selection strategy to effectively manage the vessel-avoidance problem. Firstly, we construct a COLREGs-com

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Câmara, António S., João J. de Melo, and David F. Pereira. "Optimization of Regionalized Wastewater Treatment Systems for the River Ave Basin." Water Science and Technology 19, no. 9 (1987): 175–82. http://dx.doi.org/10.2166/wst.1987.0078.

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A new methodology to optimize regionalized wastewater treatment systems is presented. The approach, developed for the River Ave basin, relies upon a clustering analysis algorithm to identify independent sub-sets of polluting sources within the basin. Then for each cluster, heuristic methods are used to generate a network representing the most promising configurations for the regional system, auxiliary models are applied to estimate detailed costs, and a k-shortest path algorithm is used to specify the configurations minimizing cost while achieving a pre-defined efficiency level. To illustrate

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Du, Yichao, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, and Tong Xu. "Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 10590–98. http://dx.doi.org/10.1609/aaai.v36i10.21303.

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End-to-end speech-to-text translation (E2E-ST) is becoming increasingly popular due to the potential of its less error propagation, lower latency, and fewer parameters. Given the triplet training corpus〈speech, transcription, translation〉, the conventional high-quality E2E-ST system leverages the〈speech, transcription〉pair to pre-train the model and then utilizes the〈speech, translation〉pair to optimize it further. However, this process only involves two-tuple data at each stage, and this loose coupling fails to fully exploit the association between triplet data. In this paper, we attempt to m

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Krell, Evan, Alaa Sheta, Arun Prassanth Ramaswamy Balasubramanian, and Scott A. King. "Collision-Free Autonomous Robot Navigation in Unknown Environments Utilizing PSO for Path Planning." Journal of Artificial Intelligence and Soft Computing Research 9, no. 4 (2019): 267–82. http://dx.doi.org/10.2478/jaiscr-2019-0008.

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Abstract The autonomous navigation of robots in unknown environments is a challenge since it needs the integration of a several subsystems to implement different functionality. It needs drawing a map of the environment, robot map localization, motion planning or path following, implementing the path in real-world, and many others; all have to be implemented simultaneously. Thus, the development of autonomous robot navigation (ARN) problem is essential for the growth of the robotics field of research. In this paper, we present a simulation of a swarm intelligence method is known as Particle Swa

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Meggiolaro, Marco Antonio, Jaime Tupiassú Pinho de Castro, and Hao Wu. "A fast algorithm to racetrack filter multiaxial histories preserving load shape." MATEC Web of Conferences 300 (2019): 17002. http://dx.doi.org/10.1051/matecconf/201930017002.

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A fast algorithm is presented to implement a multiaxial version of the racetrack amplitude filter, improved upon the authors’ previous works. The algorithm only requires a single user-defined scalar filter amplitude to eliminate noise and potentially non-damaging events from arbitrary non-proportional multiaxial stress or strain histories, while preserving all key features of the load path. It can be applied as a pre-processing step to both invariant-based and critical-plane multiaxial damage models, highly decreasing the computational cost in assessments involving oversampled or noisy data, m

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Shen, Lujun, Jinqing Mo, Changsheng Yang, et al. "SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival data." PLOS Computational Biology 19, no. 1 (2023): e1010830. http://dx.doi.org/10.1371/journal.pcbi.1010830.

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Summary The survival path mapping approach has been proposed for dynamic prognostication of cancer patients using time-series survival data. The SurvivalPath R package was developed to facilitate building personalized survival path models. The package contains functions to convert time-series data into time-slices data by fixed interval based on time information of input medical records. After the pre-processing of data, under a user-defined parameters on covariates, significance level, minimum bifurcation sample size and number of time slices for analysis, survival paths can be computed using

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SCHOCH, D., and U. BRANDES. "Re-conceptualizing centrality in social networks." European Journal of Applied Mathematics 27, no. 6 (2016): 971–85. http://dx.doi.org/10.1017/s0956792516000401.

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In the social sciences, networks are used to represent relationships between social actors, be they individuals or aggregates. The structural importance of these actors is assessed in terms of centrality indices which are commonly defined as graph invariants. Many such indices have been proposed, but there is no unifying theory of centrality. Previous attempts at axiomatic characterization have been focused on particular indices, and the conceptual frameworks that have been proposed alternatively do not lend themselves to mathematical treatment.We show that standard centrality indices, althoug

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Pankaj, Prajapati, Mishra Alok, and K. Dwivedi P. "Automated Guided Vehicles (AGV) for Material Movement in Plants & Warehouses." International Journal of Soft Computing and Engineering (IJSCE) 10, no. 3 (2020): 1–4. https://doi.org/10.35940/ijsce.B3464.1110320.

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The American Society of Safety Engineers (ASSE) defined AGVs as Machines without drivers that can move along pre-programmed routes, or use sensory and navigation devices to find their own way around, Vehicles that are equipped with automatic guidance systems and are capable of following prescribed paths, driverless vehicles that are programmed to follow a guide path. The AGV robot described here is a PIC microcontroller based, and is developed with three degrees of freedom. (Light following, wall following & pit avoidance capability). The robot contains the USB 2.ocompliant PIC 18F455o mic

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Wesley Moses Samdoss S, Sri Ramachandran K, PoiSollan G. A, and Hariharan.B. "Voice-Enabled Autonomous Robot with Cartographer SLAM for Multi-Point Navigation." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 04 (2025): 1287–92. https://doi.org/10.47392/irjaeh.2025.0182.

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Developments in Autonomous mobile robot have come from growing need for quick and seamless delivery options. This project provides a voice-driven autonomous robot with effective multi-point navigation configured with Cartographer SLAM. This system controlled by a Jetson Nano combine with ROS programming for real-time communication and processing. Cartographer SLAM is used for mapping and localization by LIDAR sensor the robot uses a microphone array for voice recognition, therefore allowing hands-free operation. Whereas a cartographer SLAM algorithm maximizes delivery pathways depending on env

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Jacinto, Marcelo, Rita Cunha, and António Pascoal. "Chemical Spill Encircling Using a Quadrotor and Autonomous Surface Vehicles: A Distributed Cooperative Approach." Sensors 22, no. 6 (2022): 2178. http://dx.doi.org/10.3390/s22062178.

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This article addresses the problem of formation control of a quadrotor and one (or more) marine vehicles operating at the surface of the water with the end goal of encircling the boundary of a chemical spill, enabling such vehicles to carry and release chemical dispersants used during ocean cleanup missions to break up oil molecules. Firstly, the mathematical models of the Medusa class of marine robots and quadrotor aircrafts are introduced, followed by the design of single vehicle motion controllers that allow these vehicles to follow a parameterised path individually using Lyapunov-based tec

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BESONG, Lemopi Isidore, Johannes BUHL, and Markus BAMBACH. "PADDLE SHAPE OPTIMIZATION FOR HOLE-FLANGING BY PADDLE FORMING THROUGH THE USE OF A PREDEFINED STRAIN PATH IN FINITE ELEMENT ANALYSIS." Journal of Machine Engineering 19, no. 2 (2019): 83–98. http://dx.doi.org/10.5604/01.3001.0013.2226.

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This research investigates a novel hole-flanging process by paddle forming through the use of finite element (FE) simulations. Paddles of different shapes rotating at high speeds were used to deform clamped sheets with pre-drilled holes at their centers. The results of the simulations show that the paddle shape determines the geometry and principal strains of the formed flanges. A convex-shaped paddle forms flanges with predominant strains in the left quadrant of the forming limit diagram (FLD). However, the convex paddle promotes unwanted bulge formation at the clamped end of the flange. A co

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Korayem, M. H., M. Irani, A. Charesaz, A. H. Korayem, and A. Hashemi. "Trajectory planning of mobile manipulators using dynamic programming approach." Robotica 31, no. 4 (2012): 643–56. http://dx.doi.org/10.1017/s0263574712000628.

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SUMMARYThis paper presents a solution for optimal trajectory planning problem of robotic manipulators with complicated dynamic equations. The main goal is to find the optimal path with maximum dynamic load carrying capacity (DLCC). Proposed method can be implemented to problems of both motion along a specified path and point-to-point motion. Dynamic Programming (DP) approach is applied to solve optimization problem and find the positions and velocities that minimize a pre-defined performance index. Unlike previous attempts, proposed method increases the speed of convergence by using the sequen

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Hafez, Ahmed T., and Mohamed A. Kamel. "Cooperative Task Assignment and Trajectory Planning of Unmanned Systems Via HFLC and PSO." Unmanned Systems 07, no. 02 (2019): 65–81. http://dx.doi.org/10.1142/s2301385019500018.

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This paper investigates the problems of cooperative task assignment and trajectory planning for teams of cooperative unmanned aerial vehicles (UAVs). A novel approach of hierarchical fuzzy logic controller (HFLC) and particle swarm optimization (PSO) is proposed. Initially, teams of UAVs are moving in a pre-defined formation covering a specified area. When one or more targets are detected, the teams send a package of information to the ground station (GS) including the target’s degree of threat, degree of importance, and the separating distance between each team and each detected target. Based

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Белов, Владимир, Vladimir Belov, Вадим Вельтищев, et al. "RATIONAL PARAMETER EXPERIMENTAL DEFINITION OF ELEMENTS FOR JET FORMING PATH OF PLANT FOR UNDERWATER MATERIAL HYDROABRASIVE-JET CUTTING." Bulletin of Bryansk state technical university 2018, no. 7 (2018): 4–12. http://dx.doi.org/10.30987/article_5ba8a1860f13c0.98445000.

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A possibility for the creation of a design and technology for manufacturing focal tubes for underwa-ter material hydro-abrasive jet cutting by means of ex-perimental development both existing hydro-jet nozzles and pre-production models of hydro-jet ones, focal tubes and designs of cutting blocks is analyzed. According to the research results at the given stage it is possible to say that the inner profile of a hy-dro-jet nozzle and also a cutting block design optimum from the point of view of productivity are defined. Impossibility to use already existing focal tubes used in the technology of m

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Ali, Rabia, Muhammad Sarmad, Jawad Tayyub, and Alexander Vogel. "Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (2023): 15468–75. http://dx.doi.org/10.1609/aaai.v37i13.26834.

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Welding is a fabrication process used to join or fuse two mechanical parts. Modern welding machines have automated lasers that follow a pre-defined weld seam path between the two parts to create a bond. Previous efforts have used simple computer vision edge detectors to automatically detect the weld seam edge on an image at the junction of two metals to be welded. However, these systems lack reliability and accuracy resulting in manual human verification of the detected edges. This paper presents a neural network architecture that automatically detects the weld seam edge between two metals wit

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Naitik, M. Nakrani, and M. Joshi Maulin. "An adaptive motion planning algorithm for obstacle avoidance in autonomous vehicle parking." International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (2021): 687–97. https://doi.org/10.11591/ijai.v10.i3.pp687-697.

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In the recent era, machine learning-based autonomous vehicle parking and obstacle avoidance navigation have drawn increased attention. An intelligent design is needed to solve the autonomous vehicles related problems. Presently, autonomous parking systems follow path planning techniques that generally do not possess a quality and a skill of natural adapting behavior of a human. Most of these designs are built on pre-defined and fixed criteria. It needs to be adaptive with respect to the vehicle dynamics. A novel adaptive motion planning algorithm is proposed in this paper that incorporates obs

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Al-Araji, Ahmed Sabah. "A Comparative Study of Various Intelligent Algorithms Based Nonlinear PID Neural Trajectory Tracking Controller for the Differential Wheeled Mobile Robot Model." Journal of Engineering 20, no. 05 (2023): 44–60. http://dx.doi.org/10.31026/j.eng.2014.05.03.

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This paper presents a comparative study of two learning algorithms for the nonlinear PID neural trajectory tracking controller for mobile robot in order to follow a pre-defined path. As simple and fast tuning technique, genetic and particle swarm optimization algorithms are used to tune the nonlinear PID neural controller's parameters to find the best velocities control actions of the right wheel and left wheel for the real mobile robot. Polywog wavelet activation function is used in the structure of the nonlinear PID neural controller. Simulation results (Matlab) and experimental work (LabVIE

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Zarrinpanjeh, N., F. Dadrass Javan, A. Naji, H. Azadi, P. De Maeyer, and F. Witlox. "OPTIMUM PATH DETERMINATION TO FACILITATE FIRE STATION RESCUE MISSIONS USING ANT COLONY OPTIMIZATION ALGORITHMS (CASE STUDY: CITY OF KARAJ)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 1285–91. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1285-2020.

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Abstract. The successful conduct of a rescue mission in urban areas is directly related to the timely deployment of equipment and personnel to the incident location which justifies the quest for optimum path selection for emergency purposes. In this study, it is attempted to use Ant Colony Optimization (ACO) to find the optimum paths between fire stations and incident locations. It is also attempted to build up an evaluation tool using ACO to detect critical road segments that the overall accessibility to fire station services throughout the urban area is constituted upon their excellent funct

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Chen, Haochong, Xincheng Cao, Levent Guvenc, and Bilin Aksun-Guvenc. "Deep-Reinforcement-Learning-Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety." Electronics 13, no. 10 (2024): 1952. http://dx.doi.org/10.3390/electronics13101952.

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The application of autonomous driving system (ADS) technology can significantly reduce potential accidents involving vulnerable road users (VRUs) due to driver error. This paper proposes a novel hierarchical deep reinforcement learning (DRL) framework for high-performance collision avoidance, which enables the automated driving agent to perform collision avoidance maneuvers while maintaining appropriate speeds and acceptable social distancing. The novelty of the DRL method proposed here is its ability to accommodate dynamic obstacle avoidance, which is necessary as pedestrians are moving dynam

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Mbodila, Munienge, Omobayo Ayokunle Esan, and Femi Abiodun Elegbeleye. "Optimization of Network Performance in Complex Environments with Software Defined Networks." Journal of Information Systems and Informatics 6, no. 3 (2024): 1723–42. http://dx.doi.org/10.51519/journalisi.v6i3.818.

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Software-defined networks (SDN) have emerged as a promising approach to address the limitations of conventional networks. Its architecture can be implemented using either a single controller or multiple controllers. Although a single controller is inadequate for managing networks, deploying multiple controllers introduces the challenge of controller placement (CPP) in a network environment. To address these issues, this study presents a Software Defined Networks-Fault-Tolerant Method (SDN-FTM) where, in the event of a network failure, the SDN controller automatically reroutes traffic through a

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Gururajan, Srikanth, and Ye Bai. "Autonomous “Figure-8” Flights of a Quadcopter: Experimental Datasets." Data 4, no. 1 (2019): 39. http://dx.doi.org/10.3390/data4010039.

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This article describes the data acquired from multiple flights of a custom-built quadcopter. The Quadcopter was programmed to fly a pre-defined “Figure-8” flight path, at a constant altitude. The data set includes flights with a varying number of waypoints (10 and 15 waypoints in each lobe of the “Figure-8”) and at two different velocities (1.5 and 2.5 m/s). The data also contains information on the output of the flight controller in terms of the Pulse Width Modulation (PWM) signals to each of the four Electronic Speed Controllers (ESC) driving the motors, the recorded outputs of the Inertial

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