Relevant bibliographies by topics / Artificial potential field methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Artificial potential field methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Artificial potential field methods"

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Wang, Shun Hong, Jiu Fen Zhao, Le Fei Pan, Xin Xue Liu, and Bei Zhang. "An Evolutionary Method of Traditional Artificial Potential Field." Applied Mechanics and Materials 198-199 (September 2012): 1025–29. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1025.

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The problems of goals non-reachable with obstacles nearby (GNRON) and dead lock caused by local minimum were described when using Artificial Potential Field (APF) methods for mobile robot path planning in complex environment. Considering the geometric relationship of different obstacles, the heuristic factor of virtual attractive forces was introduced to solve the local minimum problem. Simulation results indicate that the evolutionary method of APF can realize optimal path planning in complex environment, which makes up the disadvantages of traditional APF method.
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Zhang, Eryi. "Path planning algorithm based on Improved Artificial Potential Field method." Applied and Computational Engineering 10, no. 1 (September 25, 2023): 167–74. http://dx.doi.org/10.54254/2755-2721/10/20230170.

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The domain of research and development concerning mobile robot obstacle avoidance continues to remain an active area of interest. Artificial potential fields (APF) are a common and effective method for obstacle avoidance path planning, where the robot is guided to the target location by a simulated environmental potential field. Traditional artificial potential field methods tend to trap robots in local minima, impeding their ability to reach the goal. This research endeavours to introduce a new approach, the Improved Artificial Potential Field (IAPF) algorithm, which incorporates the A-star method in constructing the artificial potential field. This technique more effectively addresses the issue of path planning for mobile robots, thereby avoiding local minimum solutions. Through simulation experiments in different scenarios, the feasibility of the IAPF algorithm of this paper is verified. The results show that, compared with the traditional APF method, the IAPF algorithm can solve problem of local minimum and plan a sensible path.
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Carpenter, Chris. "Artificial Intelligence Unleashes Potential of Relative Permeability." Journal of Petroleum Technology 75, no. 07 (July 1, 2023): 70–72. http://dx.doi.org/10.2118/0723-0070-jpt.

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_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 207855, “Unleashing the Potential of Relative Permeability Using Artificial Intelligence,” by Abdur Rahman Shah, SPE, Schlumberger; Kassem Ghorayeb, SPE, American University of Beirut; and Hussein Mustapha, Schlumberger, et al. The paper has not been peer reviewed. _ To unlock the potential of large relative permeability (Kr) databases, the work flow proposed in the complete paper integrates data analysis, machine learning (ML), and artificial intelligence (AI). The work flow allows for the automated generation of a clean database and a digital twin of Kr data, using AI to identify analog data from nearby fields by extending the rock-typing scheme across multiple fields for the same formation. Introduction Accurate Kr curves are critical because they can improve reservoir characterization, reduce uncertainty in history matching and production forecasting, and provide robust and reliable field development plans. However, preparing special core analysis (SCAL) data, particularly Kr curves, as an input for reservoir simulation traditionally has been a highly manual, time-consuming, labor-intensive process. Furthermore, no automated tools are available currently that perform a full quality review of Kr data using analytical or numerical methods. As a result, the quality and representativeness of Kr data used in reservoir simulation models is frequently inadequately checked. Furthermore, no tools exist to generate Kr curves based on analog field data in fields where Kr data is either missing or scarce. Integrated Work Flow The solution discussed in this paper aims to address challenges and automate processes using a combination of conventional algorithms and ML. It begins with a thorough quality check and cleanup of Kr laboratory data before using analog data to build Kr curves for a specific field or reservoir. The latter is especially important considering the challenges that arise when attempting to build on analog field data in the presence of large, corporate, regional, or country-scale databases. The approach classifies rocks using ML-proxy rock typing, which is subsequently used to find Kr equivalents. After that, these analogs can be used to fill up any data gaps for reservoir simulation in any discipline.
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Ryu, Jeong Yeop, Ho Yun Chung, and Kang Young Choi. "Potential role of artificial intelligence in craniofacial surgery." Archives of Craniofacial Surgery 22, no. 5 (October 20, 2021): 223–31. http://dx.doi.org/10.7181/acfs.2021.00507.

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The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery.
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Sabudin, Elia Nadira, Rosli Omar, Sanjoy Kumar Debnath, and Muhammad Suhaimi Sulong. "Efficient robotic path planning algorithm based on artificial potential field." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 4840. http://dx.doi.org/10.11591/ijece.v11i6.pp4840-4849.

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<span lang="EN-US">Path planning is crucial for a robot to be able to reach a target point safely to accomplish a given mission. In path planning, three essential criteria have to be considered namely path length, computational complexity and completeness. Among established path planning methods are voronoi diagram (VD), cell decomposition (CD), probability roadmap (PRM), visibility graph (VG) and potential field (PF). The above-mentioned methods could not fulfill all three criteria simultaneously which limits their application in optimal and real-time path planning. This paper proposes a path PF-based planning algorithm called dynamic artificial PF (DAPF). The proposed algorithm is capable of eliminating the local minima that frequently occurs in the conventional PF while fulfilling the criterion of path planning. DAPF also integrates path pruning to shorten the planned path. In order to evaluate its performance, DAPF has been simulated and compared with VG in terms of path length and computational complexity. It is found that DAPF is consistent in generating paths with low computation time in obstacle-rich environments compared to VG. The paths produced also are nearly optimal with respect to VG.</span>
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Gao, Xi Na, and Li Juan Wu. "Multi-Robot Formation Control Based on the Artificial Potential Field Method." Applied Mechanics and Materials 519-520 (February 2014): 1360–63. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1360.

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The artificial potential field method is one of multi-robot formation control methods. In this paper we make a study on multi-robot formation control based on the artificial potential field method and the leader-follower method. The robots are set leader robot and follower robots respectively. According to the known ideal distance between the leader and follower, we adjust the repulsiveness or attractiveness to maintain multi-robot formation. Multi-robots obstacle avoidance is adopted the artificial potential field method. In this paper the triangle formation is taken as an example. At last the simulation result proves the validity of this algorithm.
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Liao, Hongtao, Fu Jiang, Cheng Jin, Yue Wu, Heng Li, Yongjie Liu, Zhiwu Huang, and Jun Peng. "Lithium-Ion Battery SoC Equilibrium: An Artificial Potential Field-Based Method." Energies 13, no. 21 (October 30, 2020): 5691. http://dx.doi.org/10.3390/en13215691.

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Battery balance methods are the key technology to ensure the safe and efficient operation of the energy storage systems. Nevertheless, convenient balance methods experience slow convergence and difficult to adapt to quick charging applications. To solve the problem, in this paper, an artificial potential field-based lithium-ion battery balance method is proposed. Firstly, a cyber-physical model of the battery equalization system is proposed, in which the physical layer models the circuit components and the cyber layer represents the communication topology between the batteries. Then the virtual force function is established by artificial potential field to attract the voltage and state-of-charge of each cell to nominal values. With a feedback control law, the charging current of the battery is reasonably distributed to realize the rapid balance among batteries. The experimental results verify the effectiveness and superiority of the proposed method.
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Tao, Shuo. "Improved artificial potential field method for mobile robot path planning." Applied and Computational Engineering 33, no. 1 (January 22, 2024): 157–66. http://dx.doi.org/10.54254/2755-2721/33/20230259.

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Path planning has already been used in areas like robots and unmanned vehicles to prevent collisions in certain environments. A Path planning algorithm is needed to achieve such tasks and Artificial Potential Field (APF) method is one of the methods. However, APF has limitations facing various situations like being stuck in a local minimum such as a dead-end or a narrow path. To solve the problem, First, a side force is added to the algorithm along with two types of definitions of the force direction. Then a variable is proposed to prevent the dead-end situation. Finally, the variable step size is used to improve the efficiency of the algorithm. The simulation results demonstrate the effectiveness of the method. In comparison to APF, the improved APF could prevent the local minimum and reach the target position with fewer processing steps and better performance.
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Wang, Lihua, Zezhou Sun, Yaobing Wang, Jie Wang, Zhijun Zhao, Chengxu Yang, and Chuliang Yan. "A Pre-Grasping Motion Planning Method Based on Improved Artificial Potential Field for Continuum Robots." Sensors 23, no. 22 (November 10, 2023): 9105. http://dx.doi.org/10.3390/s23229105.

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Secure and reliable active debris removal methods are crucial for maintaining the stability of the space environment. Continuum robots, with their hyper-redundant degrees of freedom, offer the ability to capture targets of varying sizes and shapes through whole-arm grasping, making them well-suited for active debris removal missions. This paper proposes a pre-grasping motion planning method for continuum robots based on an improved artificial potential field to restrict the movement area of the grasping target and prevent its escape during the pre-grasping phase. The analysis of the grasping workspace ensures that the target is within the workspace when starting the pre-grasping motion planning by dividing the continuum robot into delivery and grasping segments. An improved artificial potential field is proposed to guide the continuum robot in surrounding the target and creating a grasping area. Specifically, the improved artificial potential field consists of a spatial rotating potential field, an attractive potential field incorporating position and posture potential fields, and a repulsive potential field. The simulation results demonstrate the effectiveness of the proposed method. A comparison of motion planning results between methods that disregard and consider the posture potential field shows that the inclusion of the posture potential field improves the performance of pre-grasping motion planning for spatial targets, achieving a success rate of up to 97.8%.
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Bhardwaj, Abhaya, Shristi Kishore, and Dhananjay K. Pandey. "Artificial Intelligence in Biological Sciences." Life 12, no. 9 (September 14, 2022): 1430. http://dx.doi.org/10.3390/life12091430.

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Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined. As the field of AI matures with more trained algorithms, the potential of its application in epidemiology, the study of host–pathogen interactions and drug designing widens. AI is now being applied in several fields of drug discovery, customized medicine, gene editing, radiography, image processing and medication management. More precise diagnosis and cost-effective treatment will be possible in the near future due to the application of AI-based technologies. In the field of agriculture, farmers have reduced waste, increased output and decreased the amount of time it takes to bring their goods to market due to the application of advanced AI-based approaches. Moreover, with the use of AI through machine learning (ML) and deep-learning-based smart programs, one can modify the metabolic pathways of living systems to obtain the best possible outputs with the minimal inputs. Such efforts can improve the industrial strains of microbial species to maximize the yield in the bio-based industrial setup. This article summarizes the potentials of AI and their application to several fields of biology, such as medicine, agriculture, and bio-based industry.
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Dissertations / Theses on the topic "Artificial potential field methods"

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Bautin, Antoine. "Stratégie d'exploration multirobot fondée sur le calcul de champs de potentiels." Thesis, Université de Lorraine, 2013. http://www.theses.fr/2013LORR0261/document.

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Cette thèse s'inscrit dans le cadre du projet Cart-O-Matic mis en place pour participer au défi CAROTTE (CArtographie par ROboT d'un TErritoire) organisé par l'ANR et la DGA. Le but de ce défi est de construire une carte en deux et trois dimensions et de localiser des objets dans un environnement inconnu statique de type appartement. Dans ce contexte, l'utilisation de plusieurs robots est avantageuse car elle permet d'augmenter l'efficacité en temps de la couverture. Cependant, comme nous le montrons, le gain est conditionné par le niveau de coopération entre les robots. Nous proposons une stratégie de coopération pour une cartographie multirobot efficace. Une difficulté est la construction d'une carte commune, nécessaire, afin que chaque robot puisse connaître les zones de l'environnement encore inexplorées. Pour obtenir une bonne coopération avec un algorithme simple nous proposons une technique de déploiement fondée sur le choix d'une cible par chaque robot. L'algorithme proposé cherche à distribuer les robots vers différentes directions. Il est fondé sur le calcul partiel de champs de potentiels permettant à chaque robot de calculer efficacement son prochain objectif. En complément de ces contributions théoriques, nous décrivons le système robotique complet mis en oeuvre au sein de l'équipe Cart-O-Matic ayant permis de remporter la dernière édition du défi CAROTTE
This thesis is part of Cart-O-Matic project set up to participate in the challenge CARROTE (mapping of a territory) organized by the ANR and the DGA. The purpose of this challenge is to build 2D and 3D maps of a static unknown 'apartment-like' environment. In this context, the use of several robots is advantageous because it increases the time efficiency to discover fully the environment. However, as we show, the gain is determined by the level of cooperation between robots. We propose a cooperation strategy for efficient multirobot mapping. A difficulty is the construction of a common map, necessary so that each robot can know the areas of the environment which remain unexplored.For a good cooperation with a simple algorithm we propose a deployment technique based on the choice of a target by each robot. The proposed algorithm tries to distribute the robots in different directions. It is based on calculation of the partial potential fields allowing each robot to compute efficiently its next target. In addition to these theoretical contributions, we describe the complete robotic system implemented in the Cart-O-Matic team that helped win the last edition of the CARROTE challenge
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Bautin, Antoine. "Stratégie d'exploration multirobot fondée sur le calcul de champs de potentiels." Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0261.

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Cette thèse s'inscrit dans le cadre du projet Cart-O-Matic mis en place pour participer au défi CAROTTE (CArtographie par ROboT d'un TErritoire) organisé par l'ANR et la DGA. Le but de ce défi est de construire une carte en deux et trois dimensions et de localiser des objets dans un environnement inconnu statique de type appartement. Dans ce contexte, l'utilisation de plusieurs robots est avantageuse car elle permet d'augmenter l'efficacité en temps de la couverture. Cependant, comme nous le montrons, le gain est conditionné par le niveau de coopération entre les robots. Nous proposons une stratégie de coopération pour une cartographie multirobot efficace. Une difficulté est la construction d'une carte commune, nécessaire, afin que chaque robot puisse connaître les zones de l'environnement encore inexplorées. Pour obtenir une bonne coopération avec un algorithme simple nous proposons une technique de déploiement fondée sur le choix d'une cible par chaque robot. L'algorithme proposé cherche à distribuer les robots vers différentes directions. Il est fondé sur le calcul partiel de champs de potentiels permettant à chaque robot de calculer efficacement son prochain objectif. En complément de ces contributions théoriques, nous décrivons le système robotique complet mis en oeuvre au sein de l'équipe Cart-O-Matic ayant permis de remporter la dernière édition du défi CAROTTE
This thesis is part of Cart-O-Matic project set up to participate in the challenge CARROTE (mapping of a territory) organized by the ANR and the DGA. The purpose of this challenge is to build 2D and 3D maps of a static unknown 'apartment-like' environment. In this context, the use of several robots is advantageous because it increases the time efficiency to discover fully the environment. However, as we show, the gain is determined by the level of cooperation between robots. We propose a cooperation strategy for efficient multirobot mapping. A difficulty is the construction of a common map, necessary so that each robot can know the areas of the environment which remain unexplored.For a good cooperation with a simple algorithm we propose a deployment technique based on the choice of a target by each robot. The proposed algorithm tries to distribute the robots in different directions. It is based on calculation of the partial potential fields allowing each robot to compute efficiently its next target. In addition to these theoretical contributions, we describe the complete robotic system implemented in the Cart-O-Matic team that helped win the last edition of the CARROTE challenge
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Frazier, Cameron. "Re-Active Vector Equilibrium: A Novel Method of Autonomous Vehicle Navigation using Artificial Potential Fields." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32270.

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The use of potential field based navigation schemes in robotics has been limited by inherent local minima issues. Local minima traps, small passages, unstable motion, and targets positioned near objects all pose major concerns when using potential fields for local vehicle control. This work proposes a new algorithm, "Re-Active Vector Equilibrium" (RAVE) that mitigates many of these issues. The vehicle representation model is expanded to use multiple points subject to potential calculation and the addition of two forces, a velocity dependent "risk force" (F_rsk) and a velocity and direction dependent "tangential force" (F_tan). The vehicle representation model is also expanded from a single reactive point to a series of points that define the vehicle body, providing better and simpler vehicle control. This has the effect of simplifying the required calculations at the cost of increasing the calculation count. The risk force, F_rsk, allows for dynamic adaptation to the immediate environment by acting in opposition to the net obstacle force, and is inversely proportional to the vehicle speed. The tangential force, F_tan, encourages better wall-following behaviour and provides a biasing mechanism to resolve obstacle aligned with target local minima issues.
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Kamm, Jochen. "Inversion and Joint Inversion of Electromagnetic and Potential Field Data." Doctoral thesis, Uppsala universitet, Geofysik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-215673.

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In this thesis, four inversion problems of different scale and difficulty are solved. Two of them are electromagnetic inverse problems. Two more are joint inversion problems of potential field data and other types of data. First, a linear approximation, which is a generalization of the low-induction-number approximation standard in slingram dual-loop interpretation is developed and used for rapid two and three dimensional inversion. The approximation takes induction within a background half-space into account and can thus be applied in conductive scenarios, where otherwise a rigorous electromagnetic modeling would be required. Second, a three-dimensional inversion of airborne tensor very-low-frequency data with a rigorous forward modeling at its core is developed. For dealing with the large scale of the forward problem, a nested fast-Fourier-transform-based integral equation method is introduced, wherein electromagnetic interactions are arranged according to their range and larger ranges are treated with less accuracy and effort. The inversion improves the traditional interpretation through data derived maps by providing a conductivity model, thus constraining the upper few hundred meters of the crust down to the shallowest conductor and allowing the study of its top in three dimensions. The third inversion problem is the the joint inversion of refraction and geoelectric data. By requiring the velocity and resistivity models to share a common, laterally variable layered geometry, easily interpretable models, which are reasonable in many geological near surface situations (e.g., groundwater exploration in Quaternary sediments), are produced directly from the joint inversion. Finally, a joint inversion of large scale potential field data from a gabbro intrusion is presented. Gravity and magnetic data are required to abide to a petrophysical constraint, which is derived from extensive field sampling. The impact of the constraint is maximized under the provision that both data sets are explained equally well as they would be through individual inversions. This leads to a simple and clearly defined intrusion geometry, consistent for both the density and magnetic susceptibility distribution. In all presented inversion problems, field data sets are successfully inverted, the results are appraised through synthetic tests and, if available, through comparison with independent data.
Diese Arbeit hat die Lösung von vier geophysikalischen Umkehraufgaben, sogenannten Inversionsproblemen, zum Gegenstand. Zwei dieser Aufgaben befassen sich mit der Inversion elektromagnetischer Daten, zwei weitere sind Probleme der kombinierten Inversion von Datensätzen aus unterschiedlichen geophysikalischen Messverfahren. Im ersten Problem wird die für die Auswertung elektromagnetischer Zweispulensystemdaten typische lineare Näherung der kleinen Induktionszahlen als Bornsche Näherung verallgemeinert, ihre Anwendbarkeit durch exakte Berücksichtigung der Induktionsvorgänge in einem beliebigen homogenen Halbraum von schlechtleitenden auf gutleitende Untergründe ausgedehnt und schließlich zur zwei- und dreidimensionalen Inversion eingesetzt. Dadurch kann auch im leitfähigen Untergrund eine aufwändige exakte Modellierung vermieden werden. Im zweiten Problem wird eine dreidimensionale Inversion von flugzeuggestützten Längstwellenmessungen entwickelt und als ihre Grundlage eine exakte elektromagnetische Rechnung erdacht. Damit wird traditionelle kartengestützte Dateninterpretation durch ein dreidimensionales Leitfähigkeitsmodell ergänzt, welches die oberen hundert bis dreihundert Meter der Erdkruste bis hin zur Tiefe des obersten Leiters abbildet, so dass dessen Oberflächenform erkundet werden kann. Die enorme Problemgröße wird durch eine Fouriertransformationsmethode bewältigt, welche die elektromagnetischen Wechselwirkungen nach ihrer Reichweite einteilt, die Fernwirkungen mit entsprechend verringerter Genauigkeit behandelt und dadurch eine erhebliche Anzahl an Rechnungen einspart. Im dritten Problem werden refraktionsseismische und geoelektrische Messungen kombiniert, indem sowohl das Geschwindigkeits- als auch das Widerstandsmodell mit einer gemeinsamen, lateral veränderlichen und durch beide Datensätze bestimmten Schichtstruktur versehen werden. Ein solches, durch Schichten definiertes Inversionsergebnis, stellt in vielen oberflächennahen Anwendungen, beispielsweise im Grundwasserbereich, ein sinnvolles Abbild der Erde dar. Im vierten Problem werden Schweremessungen und Magnetfeldmessungen, die über einer Gabbrointrusion aufgenommen wurden, mittels einer empirischen petrophysikalischen Beziehung vereinigt, welche aus Labormessungen an einer großen Anzahl von Gesteinsproben abgeleitet wurde. Hierbei wird der Einfluss dieser Modellkopplung solange maximiert, wie beide Datensätze mit derjenigen Genauigkeit angepasst werden können, welche vorher in Einzelinversionen erreicht wurde. Das Ergebnis ist ein einfaches, geometrisch konsistentes Modell der Verteilungen von Dichte und magnetischer Suszeptibilität. In allen vier Aufgaben wurden erfolgreich reale Felddaten invertiert. Die Güte der Ergebnisse wurde mittels synthetischer Experimente untersucht und, so vorhanden, mit unabhängigen Informationen verglichen.
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Uusitalo, Tim. "A first approach in applying Artificial Potential Fields in Car Games." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2480.

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In car racing simulation games, finishing first is the main goal. To reach that goal, it is required to go around a racing track, competing against other cars aiming for the same goal. Implementing a bot for doing so may have its difficulties, although using a technique called multi-agent systems combined with artificial potential field, let- ting the agents take care of subtasks like keeping the car on the track, minimize how much the car turns in a curvature and basics in navigation around the track, has showed that artificial potential fields very well fit the problem of driving a car in simulated car racing in a competitive way.
Mobiltelefon: 0707422666
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Sheffer, Megan Rae. "Forward modelling and inversion of streaming potential for the interpretation of hydraulic conditions from self-potential data." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/235.

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The self-potential method responds to the electrokinetic phenomenon of streaming potential and has been applied in hydrogeologic and engineering investigations to aid in the evaluation of subsurface hydraulic conditions. Of specific interest is the application of the method to embankment dam seepage monitoring and detection. This demands a quantitative interpretation of seepage conditions from the geophysical data. To enable the study of variably saturated flow problems of complicated geometry, a three-dimensional finite volume algorithm is developed to evaluate the self-potential distribution resulting from subsurface fluid flow. The algorithm explicitly calculates the distribution of streaming current sources and solves for the self-potential given a model of hydraulic head and prescribed distributions of the streaming current cross-coupling conductivity and electrical resistivity. A new laboratory apparatus is developed to measure the streaming potential coupling coefficient and resistivity in unconsolidated soil samples. Measuring both of these parameters on the same sample under the same conditions enables us to properly characterize the streaming current cross-coupling conductivity coefficient. I present the results of a laboratory investigation to study the influence of soil and fluid parameters on the cross-coupling coefficient, and characterize this property for representative well-graded embankment soils. The streaming potential signals associated with preferential seepage through the core of a synthetic embankment dam model are studied using the forward modelling algorithm and measured electrical properties to assess the sensitivity of the self-potential method in detecting internal erosion. Maximum self-potential anomalies are shown to be linked to large localized hydraulic gradients that develop in response to piping, prior to any detectable increase in seepage flow through the dam. A linear inversion algorithm is developed to evaluate the three-dimensional distribution of hydraulic head from self-potential data, given a known distribution of the cross-coupling coefficient and electrical resistivity. The inverse problem is solved by minimizing an objective function, which consists of a data misfit that accounts for measurement error and a model objective function that incorporates a priori information. The algorithm is suitable for saturated flow problems or where the position of the phreatic surface is known.
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Hoffbauer, Cole. "MULTI-USER REDIRECTED WALKING AND RESETTING UTILIZING ARTIFICIAL POTENTIAL FIELDS." Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1530629793552698.

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Morgan, David C. "A Gaussian approximation to the effective potential." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26500.

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This thesis investigates some of the properties of a variational approximation to scalar field theories: a trial wavefunctional which has a gaussian form is used as a ground state ansatz for an interacting scalar field theory - the expectation value of the Hamiltonian in this state is then minimized. This we call the Gaussian Approximation; the resulting effective potential we follow others by calling the Gaussian Effective Potential (GEP). An equivalent but more general finite temperature formalism is then reviewed and used for the calculations of the GEP in this thesis. Two scalar field theories are described: ϕ⁴ theory in four dimensions (ϕ⁴₄) and ϕ⁶ theory in three dimensions (ϕ⁶₃). After showing what the Gaussian Approximation does in terms of Feynman diagrams, renormalized GEP's are calculated for both theories. Dimensional Regularization is used in the renormalization and this this is especially convenient for the GEP in ϕ⁶₃ theory because it becomes trivially renor-malizable. It is noted that ϕ⁶₃ loses its infrared asymptotic freedom in the Gaussian Approximation. Finally, it is shown how a finite temperature GEP can be calculated by finding low and high temperature expansions of the temperature terms in ϕ⁶₃ theory.
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9

Capito, Ruiz Linda J. "Optical Flow-based Artificial Potential Field Generation for Gradient Tracking Sliding Mode Control for Autonomous Vehicle Navigation." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555599397128602.

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Malik, Waqar Ahmad. "Motion planning of mobile robot in dynamic environment using potential field and roadmap based planner." Texas A&M University, 2003. http://hdl.handle.net/1969/338.

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Books on the topic "Artificial potential field methods"

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I, Hariharan S., and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. Potential theoretic methods for far field sound radiation calculations. Cleveland, Ohio: NASA, Lewis Research Center, ICOMP, 1995.

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Ruotoistenmäki, Tapio. Estimation of depth to potential field sources using the Fourier amplitude spectrum. Espoo: Geologian tutkimuskeskus, 1987.

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Tyrie, A. Potential applications of remote sensing methods to the African Rift System. Mississauga, Ont: University of Toronto, Erindale Campus, Survey Science, 1986.

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Eladhari, Mirjam Palosaari. Characterising action potential in virtual game worlds applied with the mind module. Visby: Gotland University Press, 2011.

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Yoseph, Bar-Cohen, ed. Electroactive polymer (EAP) actuators as artificial muscles: Reality, potential, and challenges. 2nd ed. Bellingham, Wash: SPIE Press, 2004.

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Olle, Eriksson, Andersson Per, Delin Anna, Grechnyev Oleksiy, Alouani Mebarek, and SpringerLink (Online service), eds. Full-Potential Electronic Structure Method: Energy and Force Calculations with Density Functional and Dynamical Mean Field Theory. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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Book chapters on the topic "Artificial potential field methods"

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Tahri, Abbes, and Lakhdar Guenfaf. "Local-Minimum-Free Artificial Potential Field Method for Obstacle Avoidance." In Lecture Notes in Networks and Systems, 323–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82199-9_20.

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Liu, Yuecheng, Guanfeng Yu, Zhenpo Tian, and Wen Ju. "Cooperative Path Planning Algorithm Based on Artificial Potential Field Method." In Lecture Notes in Electrical Engineering, 4512–21. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_438.

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Wang, Hai, Lei Wang, Xiaohua Gao, Xinyong Yu, Chen Lu, and Xinwei Wang. "UAV Path Planning Based on Improved Artificial Potential Field Method." In Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022), 2930–39. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0479-2_271.

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Ma, YingKai, and ShuRong Li. "UAV Path Planning Based on Improved Artificial Potential Field Method." In Lecture Notes in Electrical Engineering, 761–77. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6882-4_62.

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Kim, Seung-Woo, and Daniel Boley. "Analytical potential fields and control strategies for motion planning." In Tasks and Methods in Applied Artificial Intelligence, 85–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64574-8_394.

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Tam, Phan Minh, and Ho Pham Huy Anh. "A Probability-Based Artificial Potential Field for Autonomous Vehicles in Avoiding Uncertain Obstacles." In Computational Intelligence Methods for Green Technology and Sustainable Development, 291–300. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19694-2_26.

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Miao, Zhonghua, Guo Yang, Chuangxin He, Nan Li, and Teng Sun. "Artificial Potential Field Method for Area Coverage of Multi Agricultural Robots." In Intelligent Equipment, Robots, and Vehicles, 67–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7213-2_7.

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Xiao, Qilin, and Junyong Zhai. "Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method." In Lecture Notes in Electrical Engineering, 543–52. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6886-2_47.

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Kong, Haiyi, Chenguang Yang, Zhaojie Ju, and Jinguo Liu. "A Hybrid Path Planning Method for Mobile Robot Based on Artificial Potential Field Method." In Intelligent Robotics and Applications, 325–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27529-7_28.

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Pan, Hu, Chen Guo, and Zhaodong Wang. "Research for Path Planning in Indoor Environment Based Improved Artificial Potential Field Method." In Lecture Notes in Electrical Engineering, 273–81. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6445-6_31.

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Conference papers on the topic "Artificial potential field methods"

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Sancho-Pradel, Dario L., and Chakravarthini M. Saaj. "Assessment of Artificial Potential Field methods for navigation of planetary rovers." In 2009 European Control Conference (ECC). IEEE, 2009. http://dx.doi.org/10.23919/ecc.2009.7074869.

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Elahres, Mustafa, Manel Abbes, Aïcha Fonte, and Gérard Poisson. "Artificial Potential Field APF-based Obstacle Avoidance Technique for Robot Arm Teleoperation." In 2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2023. http://dx.doi.org/10.1109/mmar58394.2023.10242423.

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Sijing Wang and Huasong Min. "Experience mixed the modified artificial potential field method." In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6697052.

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Stoian, Viorel, Mircea Ivanescu, Elena Stoian, and Cristina Pana. "Using Artificial Potential Field Methods and Fuzzy Logic for Mobile Robot Control." In 2006 12th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/epepemc.2006.283190.

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Stoian, Viorel, Mircea Ivanescu, Elena Stoian, and Cristina Pana. "Using Artificial Potential Field Methods and Fuzzy Logic for Mobile Robot Control." In 2006 12th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/epepemc.2006.4778431.

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Zhiyang, Liu, and Jiang Tao. "Route planning based on improved artificial potential field method." In 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2017. http://dx.doi.org/10.1109/acirs.2017.7986092.

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Zhang, Hao, Meng Li, and Zhangang Wu. "Path Planning based on Improved Artificial Potential Field Method." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9602174.

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Liang, Qing, Huike Zhou, Wei Xiong, and Lu Zhou. "Improved artificial potential field method for UAV path planning." In 2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2022. http://dx.doi.org/10.1109/icmtma54903.2022.00136.

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Bounini, Farid, Denis Gingras, Herve Pollart, and Dominique Gruyer. "Modified artificial potential field method for online path planning applications." In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017. http://dx.doi.org/10.1109/ivs.2017.7995717.

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Zheyi, Chen, and Xu Bing. "AGV Path Planning Based on Improved Artificial Potential Field Method." In 2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA). IEEE, 2021. http://dx.doi.org/10.1109/icpeca51329.2021.9362519.

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Reports on the topic "Artificial potential field methods"

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Macdonald. L51750 New Technique to Assess Level of Cathodic Protection in Underground Pipe Systems (Phases I and II). Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 1996. http://dx.doi.org/10.55274/r0010611.

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This report introduces the Variable Frequency Impedance Tomography (VFIT) method for assessing the effectiveness of non-interruptible power supplies (sacrificial anodes) for protecting coated buried pipe. This method imposes a low-amplitude alternating voltage between the pipe and a reference electrode placed on the surface. A potentiostat/galvanostat controls the electric potential by modulating the current between the pipe and a surface counter electrode. The principle interpretive tool used in this study was an Artificial Neural Network (ANN) that had been \trained\" on simulated pipe with a defective coating and on field data from a test pipe.
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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, James I. Rineer, Daniel Lapidus, Kemen Austin, Katherine P. Woodward, and Robert H. Beach III. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.

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Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this information. Technology supports a change of paradigm. Traditional methods of obtaining agricultural information through field surveys are increasingly being augmented by images of the Earth acquired through sensors placed on satellites. The continued improvement in the resolution of satellite images, the establishment of open-access infrastructure for processing of the images, and the recent revolutionary progress in artificial intelligence make it feasible to obtain the information at low cost and in near-to-real time. In this brief, we discuss the use of satellite images to provide information about agricultural production in low-income countries, and we comment on research challenges and opportunities. We highlight the near-term potential of the methodology in the context of Rwanda, a country in sub-Saharan Africa whose government has recognized early the value of information technology in its strategic planning for food security and sustainability.
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Emrich, M., A. Agarwal, B. Jairam, and N. Murthy. Potential Applications of Artificial Intelligence to the Field of Software Engineering. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada216909.

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Freeman, Stanley, and Daniel Legard. Epidemiology and Etiology of Colletotrichum Species Causing Strawberry Diseases. United States Department of Agriculture, September 2001. http://dx.doi.org/10.32747/2001.7695845.bard.

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Diseases caused by Colletotrichum spp. are one of the most important limitations on international strawberry production, affecting all vegetative and fruiting parts of the plant. From 1995 to 1997, C. acutatum infections reached epidemic levels in Israeli strawberry nurseries, causing extensive loss of transplants in fruit-bearing fields and additional reductions in yield. Although C. acutatum also occurs on strawberry in Florida, recent crown rot epidemics have been primarily caused by C. gloeosporioides. Little is known about the basic epidemiology of these important diseases on strawberry. The source of initial inoculum for epidemics in Israel, Florida (other US states including California) and the rest of the world is not well understood. Subspecies relationships between Colletotrichum isolates that cause the different diseases on strawberry (i.e. attack different tissues) are also not well understood. Objectives of this proposal were to detennine the potential of infested soil, strawberry debris and other hosts as sources of primary inoculum for strawberry diseases caused by Colletotrichum spp. in Israel and Florida. In addition, traditional (ie. morphological characteristics, benomyl sensitivity, vegetative compatibility grouping) and DNA based methods were used to investigate the etiology of these diseases in order to resolve epidemiologically important subspecies variation. In Israel it was found that C. gloeosporioides and C. acutatum infecting strawberry could remain viable in sterilized soil for up to one year and in methyl-bromide fumigated soil for up to 4 months; inoculum in mummified fruit remained viable for at least 5 months under field conditions whereas that in infected crowns was not recovered. Therefore, the contribution of these inocula to disease epidemics should be considered. The host range and specificity of C. acutatum from strawberry was examined on pepper, eggplant, tomato, bean and strawberry under greenhouse conditions. The fungus was recovered from all plant species over a three-month period but caused disease symptoms only on strawberry. C. acutatum was also isolated from healthy looking, asymptomatic plants of the weed species, Vicia and Conyza, growing in infected strawberry fruiting fields. Isolates of C. acutatum originating from strawberry and anemone infected both plant species in artificial inoculations. The habitation of a large number of plant species including weeds by C. acutatum suggests that although it causes disease only on strawberry and anemone in Israel, these plants may serve as a potential inoculum source for strawberry infection and pennit survival of the pathogen between seasons. In Florida, isolates of Colletotrichum spp. from diseased strawberry fruit and crowns were evaluated to detennine their etiology and the genetic diversity of the pathogens. Only C. acutatum was recovered from fruit and C. gloeosporioides were the main species recovered from crowns. These isolates were evaluated at 40 putative genetic loci using random amplified polymorphic DNA (RAPD). Genetic analysis of RAPD markers revealed that the level of linkage disequilibrium among polymorphic loci in C. gloeosporioides suggested that they were a sexually reproducing population. Under field conditions in Florida, it was detennined that C. gloeosporioides in buried crowns survived
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Thompson and Lawson. L51692 Multiple Pipelines in Right-of-Way - Improved Pipe-To-Soil Potential Survey Methods. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 1993. http://dx.doi.org/10.55274/r0010161.

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Pipe-to-soil potential measurements are the primary means for monitoring the effectiveness of cathodic protection systems. All criteria for cathodic protection employ, in one form or another, a potential measurement of the pipe with respect to a reference electrode. This research project was undertaken to determine what portion of a pipe is sampled by an above-ground potential measurement. One important area that has not yet been investigated is what portion of a pipe is sampled during a potential survey of a pipeline in a right-of-way containing multiple pipelines directly bonded to each other. The overall objective of this project was to improve the ability to interpret close interval on- and off-potential surveys in rights-of-way containing multiple pipelines. The project objective was accomplished by completing the following specific task oriented goals: (1) to expand the previously developed computer model to include multiple pipelines in the right-of-way, (2) to predict interaction effects between two pipelines in the same right-of-way, (3) to extend modeling activities to more complex pipeline situations by modeling specific case studies, and (4) to provide field verification of the modeling activities.
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Kiefner. L51606 Technique Development for Polarized Pipe-to-Soil Potential Measurements. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 1989. http://dx.doi.org/10.55274/r0010103.

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In the recent past years there has been a considerable amount of effort devoted to developing methods and instruments to correct measured pipe-to-soil potentials for IR drops that may occur from currents (from the cathodic protection system or stray sources) in the soil to obtain the polarized potential. However, many of the methods or instruments available are either time-consuming, cumbersome to use in the field, applicable to only certain types of cathodic protection systems and under particular circumstances, subject to influences from stray current sources or not fully developed as of yet. Thus, there is a need to develop a practical method of determining the polarized pipe potential free of IR drop errors. This report examines and compares seven available methods for measuring polarized potential and describes the advantages and disadvantages of each. The following methods for measuring polarized potential were evaluated: (1) pipe-to-soil measurements with cathodic protection; (2) pipe-to-soil measurements with interrupted cathodic protection (also called instant-off); (3) measurements based on rectifier AC waveform analysis; (4) stepped current reduction; (5) a four-terminal network; (6) extrapolation to zero resistance (IR drop); and (7) a combination of DC/AC transverse measurements.
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Murdick, Dewey, Daniel Chou, Ryan Fedasiuk, and Emily Weinstein. The Public AI Research Portfolio of China’s Security Forces. Center for Security and Emerging Technology, March 2021. http://dx.doi.org/10.51593/20200057.

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New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.
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Johnson, Eric M., and Robert Chew. Social Network Analysis Methods for International Development. RTI Press, May 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0026.2105.

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Social Network Analysis (SNA) is a promising yet underutilized tool in the international development field. SNA entails collecting and analyzing data to characterize and visualize social networks, where nodes represent network members and edges connecting nodes represent relationships or exchanges among them. SNA can help both researchers and practitioners understand the social, political, and economic relational dynamics at the heart of international development programming. It can inform program design, monitoring, and evaluation to answer questions related to where people get information; with whom goods and services are exchanged; who people value, trust, or respect; who has power and influence and who is excluded; and how these dynamics change over time. This brief advances the case for use of SNA in international development, outlines general approaches, and discusses two recently conducted case studies that illustrate its potential. It concludes with recommendations for how to increase SNA use in international development.
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Alonso-Robisco, Andrés, José Manuel Carbó, and José Manuel Carbó. Machine Learning methods in climate finance: a systematic review. Madrid: Banco de España, February 2023. http://dx.doi.org/10.53479/29594.

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Preventing the materialization of climate change is one of the main challenges of our time. The involvement of the financial sector is a fundamental pillar in this task, which has led to the emergence of a new field in the literature, climate finance. In turn, the use of Machine Learning (ML) as a tool to analyze climate finance is on the rise, due to the need to use big data to collect new climate-related information and model complex non-linear relationships. Considering the proliferation of articles in this field, and the potential for the use of ML, we propose a review of the academic literature to assess how ML is enabling climate finance to scale up. The main contribution of this paper is to provide a structure of application domains in a highly fragmented research field, aiming to spur further innovative work from ML experts. To pursue this objective, first we perform a systematic search of three scientific databases to assemble a corpus of relevant studies. Using topic modeling (Latent Dirichlet Allocation) we uncover representative thematic clusters. This allows us to statistically identify seven granular areas where ML is playing a significant role in climate finance literature: natural hazards, biodiversity, agricultural risk, carbon markets, energy economics, ESG factors & investing, and climate data. Second, we perform an analysis highlighting publication trends; and thirdly, we show a breakdown of ML methods applied by research area.
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Beshouri and Richter. PR-309-04200-R02 Field Testing of Ion Sense and Pressure Ratio Technology On a TLA-6. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2005. http://dx.doi.org/10.55274/r0010740.

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This project conducted field optimization and long term testing on a typical Two Stroke Cycle (2SC) Lean bum pipeline engine to assess the feasibility of cylinder level diagnostics, air/fuel ratio balancing and air/fuel ratio control using ion sensing. Compare the performance with current and potential in-cylinder pressure based methods.
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