Letteratura scientifica selezionata sul tema "Mutual localization"

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Articoli di riviste sul tema "Mutual localization":

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Naruse, Keitaro, Shigekazu Fukui e Jie Luo. "Mutual Localization of Multiple Sensor Node Robots". Journal of Advanced Computational Intelligence and Intelligent Informatics 15, n. 9 (20 novembre 2011): 1269–76. http://dx.doi.org/10.20965/jaciii.2011.p1269.

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Abstract (sommario):
The objective of this paper is to develop a localization systemof cooperativemultiple mobile robots, in which each robot is assumed to observe a set of known landmarks and equipped with an omnidirectional camera. In this paper, it is assumed that a robot can detect other robots by using the omnidirectional camera, share its estimated position with others, and utilize shared positions for its localization. In other words, each robot can be viewed as an additional mobile landmark to a set of stationary landmarks. A foremost concern is how well this system performs localization under a limited amount of information. This paper presents an investigation of self localization error of each robot in a group using Extended Kalman Filter to solve the localization problem with the insufficient landmarks and inaccurate position information.
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Wang, Kai, Ling Wang, Jian Xie e Yuexian Wang. "Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling". International Journal of Antennas and Propagation 2019 (2 giugno 2019): 1–13. http://dx.doi.org/10.1155/2019/5943956.

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In order to deal with the problem of passive mixed source localization under unknown mutual coupling, the authors propose an effective algorithm. This algorithm provides array blind calibration as well as classification and localization of mixed sources in this paper. In practice, an ideal sensor array without the effects of unknown mutual coupling is rarely satisfied, which degrades the performance of most high-resolution algorithms. Firstly, the directions of arrival of far-field sources and the number of nonzero mutual coupling coefficients are estimated directly through the rank-reduction type method. Then, these estimates are adopted to reconstruct the mutual coupling matrix. In addition, the fourth-order cumulant technique is required to eliminate the Gauss colored noise effects caused by mutual coupling calibration of the raw received data vector. Finally, in an algebraic way, the results of rapid classification and localization of near-field sources are obtained without any spectral search. The proposed algorithm is described in detail, and its behavior is illustrated by numerical examples.
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Jung, Kwang-Min, e Kwee-Bo Sim. "Mutual Localization of swarm robot using Particle Filter". Journal of Korean Institute of Intelligent Systems 20, n. 2 (25 aprile 2010): 298–303. http://dx.doi.org/10.5391/jkiis.2010.20.2.298.

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Chen, Hua, Wei Liu, Wei-Ping Zhu, M. N. S. Swamy e Qing Wang. "Mixed rectilinear sources localization under unknown mutual coupling". Journal of the Franklin Institute 356, n. 4 (marzo 2019): 2372–94. http://dx.doi.org/10.1016/j.jfranklin.2019.01.019.

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Xu, S., Z. Ji, D. T. Pham e F. Yu. "Simultaneous localization and mapping: swarm robot mutual localization and sonar arc bidirectional carving mapping". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, n. 3 (10 settembre 2010): 733–44. http://dx.doi.org/10.1243/09544062jmes2239.

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Abstract (sommario):
This work primarily aims to study robot swarm global mapping in a static indoor environment. Due to the prerequisite estimation of the robots' own poses, it is upgraded to a simultaneous localization and mapping (SLAM) problem. Five techniques are proposed to solve the SLAM problem, including the extended Kalman filter (EKF)-based mutual localization, sonar arc bidirectional carving mapping, grid-oriented correlation, working robot group substitution, and termination rule. The EKF mutual localization algorithm updates the pose estimates of not only the current robot, but also the landmark-functioned robots. The arc-carving mapping algorithm is to increase the azimuth resolution of sonar readings by using their freespace regions to shrink the possible regions. It is further improved in both accuracy and efficiency by the creative ideas of bidirectional carving, grid-orientedly correlated-arc carving, working robot group substitution, and termination rule. Software simulation and hardware experiment have verified the feasibility of the proposed SLAM philosophy when implemented in a typical medium-cluttered office by a team of three robots. Besides the combined effect, individual algorithm components have also been investigated.
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Song, Jiahui, Haitao Wu, Xiaochen Guo, Dehuai Jiang, Xuqiang Guo, Tong Lv e Hanze Luo. "GNSS Spoofing Identification and Smoothing Localization Method for GNSS/Visual SLAM System". Applied Sciences 12, n. 3 (27 gennaio 2022): 1386. http://dx.doi.org/10.3390/app12031386.

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A smoothing localization method for Global Navigation Satellite System (GNSS) and visual Simultaneous Localization and Mapping (SLAM) system is proposed to identify GNSS spoofing, optimize the cumulative error of the GNSS/visual SLAM system, and obtain smoothing localization results. The proposed method analyzes the joint error distribution of the GNSS/visual SLAM system, uses the visual frame to invert the relative error offset of the GNSS from the dimensions of time and localization, performs error analysis and mutual verification based on the verification threshold. According to the mutual verification results, the GNSS spoofing is identified, and the corresponding back-end optimization strategy is selected to obtain a smoothing localization result. Through simulation, the time verification threshold and localization verification threshold of the proposed method are obtained under the condition that the sensors frequency and accuracy are set. The KITTI datasets in rural and urban scenes are used for verification. The simulation results show that our method can identify GNSS spoofing and provide credible and smoothing localization results in the case of GNSS spoofing occurs.
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Fujiwara, Ryosuke, Takeshi Tsuchiya e Daisuke Kubo. "1306 Development of UAV mutual localization with relative position". Proceedings of the Transportation and Logistics Conference 2013.22 (2013): 241–44. http://dx.doi.org/10.1299/jsmetld.2013.22.241.

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Liu, Daizong, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou e Yu Cheng. "Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 4 (24 marzo 2024): 3567–75. http://dx.doi.org/10.1609/aaai.v38i4.28145.

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Abstract (sommario):
Temporal sentence localization (TSL) aims to localize a target segment in a video according to a given sentence query. Though respectable works have made decent achievements in this task, they severely rely on abundant yet expensive manual annotations for training. Moreover, these trained data-dependent models usually can not generalize well to unseen scenarios because of the inherent domain shift. To facilitate this issue, in this paper, we target another more practical but challenging setting: unsupervised domain adaptative temporal sentence localization (UDA-TSL), which explores whether the localization knowledge can be transferred from a fully-annotated data domain (source domain) to a new unannotated data domain (target domain). Particularly, we propose an effective and novel baseline for UDA-TSL to bridge the multi-modal gap across different domains and learn the potential correspondence between the video-query pairs in target domain. We first develop separate modality-specific domain adaptation modules to smoothly balance the minimization of the domain shifts in cross-dataset video and query domains. Then, to fully exploit the semantic correspondence of both modalities in target domain for unsupervised localization, we devise a mutual information learning module to adaptively align the video-query pairs which are more likely to be relevant in target domain, leading to more truly aligned target pairs and ensuring the discriminability of target features. In this way, our model can learn domain-invariant and semantic-aligned cross-modal representations. Three sets of migration experiments show that our model achieves competitive performance compared to existing methods.
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Wu, Xiang, Dumidu S. Talagala, Wen Zhang e Thushara D. Abhayapala. "Individualized Interaural Feature Learning and Personalized Binaural Localization Model". Applied Sciences 9, n. 13 (30 giugno 2019): 2682. http://dx.doi.org/10.3390/app9132682.

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The increasing importance of spatial audio technologies has demonstrated the need and importance of correctly adapting to the individual characteristics of the human auditory system, and illustrates the crucial need for humanoid localization systems for testing these technologies. To this end, this paper introduces a novel feature analysis and selection approach for binaural localization and builds a probabilistic localization mapping model, especially useful for the vertical dimension localization. The approach uses the mutual information as a metric to evaluate the most significant frequencies of the interaural phase difference and interaural level difference. Then, by using the random forest algorithm and embedding the mutual information as a feature selection criteria, the feature selection procedures are encoded with the training of the localization mapping. The trained mapping model is capable of using interaural features more efficiently, and, because of the multiple-tree-based model structure, the localization model shows robust performance to noise and interference. By integrating the direct path relative transfer function estimation, we propose to devise a novel localization approach that has improved performance in the presence of noise and reverberation. The proposed mapping model is compared with the state-of-the-art manifold learning procedure in different acoustical configurations, and a more accurate and robust output can be observed.
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Lee, Yang-Weon. "Automatic Mutual Localization of Swarm Robot Using a Particle Filter". Journal of information and communication convergence engineering 10, n. 4 (31 dicembre 2012): 390–95. http://dx.doi.org/10.6109/jicce.2012.10.4.390.

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Tesi sul tema "Mutual localization":

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Daugé, Virgile. "Systèmes Cyber-Physiques autonomes et communicants en milieux inconnus : application à l’exploration par robots mobiles". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0279.

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Ce document retrace l’ensemble du travail et des contributions effectuées dans le cadre de l’exploration robotique autonome d’environnements inconnus. Une analyse de l’état de l’art nous a poussé à nous éloigner des paradigmes classiques des algorithmes de positionnement et cartographie simultanés (SLAM en anglais). Ces approches nécessitent en effet un lourd paramétrage maîtrisable uniquement par des spécialistes. De plus, les systèmes actuels sont tous soumis au problème d’association de données. Le système de positionnement proposé s’inspire ainsi de techniques ancestrales de géomètres, ainsi que de la mesure en coopération active entre les bateaux et les phares. Ainsi, l’emploi de plusieurs robots mesurant collaborativement leurs positions relatives, formant ainsi un réseau de positionnement a permis de construire un système de positionnement robuste, indépendant de l’environnement. Ce travail présente l’évaluation du système, ainsi que son application à la cartographie, conduisant à la mise en place d’un système de SLAM complet. Des algorithmes originaux permettant l’optimisation du placement des éléments formant le réseau de positionnement dans l’espace sont également présentés. Le travail présenté a ainsi abouti à un prototype fonctionnel, testé et évalué dans des conditions réelles
This document retraces all the work and contributions made in the context of autonomous robotic exploration of unknown environments. An analysis of the state of the art has led us to move away from the classical paradigms of simultaneous positioning and mapping (SLAM) algorithms. These approaches require a heavy parameterization that can only be mastered bys pecialists. In addition, current systems are all subject to the problem of data association. The proposed positioning system is inspired by ancestral techniques of techniques of surveyors, as well as the measurement in active cooperation between ships and lighthouses. Therefore, the use of several robots measuring their relative positions collaboratively, thus forming a positioning network has allowed to build a robust positioning system, independent of the environment. This work presents the evaluation of the system, as well as its application to cartography, leading to the implementation of a complete SLAM system. Several original algorithms allowing the optimization of the placement of elements forming the positioning network in space are also presented. The presented work has thus led to a functional prototype, tested and evaluated in real world
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Kemppainen, A. (Anssi). "Adaptive methods for autonomous environmental modelling". Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526218519.

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Abstract In this thesis, we consider autonomous environmental modelling, where robotic sensing platforms are utilized in environmental surveying. In order to allow a wide range of different environments, our models must be flexible to the data with some a prior assumptions. Respectively, in order to guide action planning, we need to have a unified sensing quality metric that depends on the prediction quality of our models. Finally, in order to be able to adapt to the observed information, at each iteration of the action planning algorithm, we must be able to provide solutions that aim at minimum travelling time needed to reach a certain level of sensing quality. These are the main topics in this thesis. At the center of our approaches are stationary and non-stationary Gaussian processes based on the assumption that the observed phenomenon is due to the diffusion of white noise, where diffusion kernel anisotropy and scale may vary between locations. For these models, we propose adaptation of diffusion kernels based on a structure tensor approach. Proposed methods are demonstrated with experiments that show, assuming sensor noise is not dominating, our iterative approach is able to return diffusion kernel values close to correct ones. In order to quantify how precise our models are, we propose a mutual information based sensing quality criterion, and prove that the optimal design using our sensing quality provides the best prediction quality for the model. To incorporate localization uncertainty in modelling, we also propose an approach where a posterior model is marginalized over sensing path distribution. The benefit is that this approach implicitly favors actions that result in previously visited or otherwise well-defined areas, meanwhile, maximizing the information gain. Experiments support our claims that our proposed approaches are best when considering predictive distribution quality. In action planning, our approach is to use graph-based approximation algorithms to obtain a certain level of model quality in an efficient way. In order account for spatial dependency and active localization, we propose adaptation methods that map sensing quality to vertex prices in a graph. Experiments demonstrate the benefit of our adaptation methods compared to the action planning algorithms that do not consider these specific features
Tiivistelmä Tässä väitöskirjassa tarkastellaan autonomista ympäristön mallinnusta, missä ympäristön kartoitukseen hyödynnetään robottimittausalustoja. Erilaisia ympäristöjä varten, käytettävien mallien tulee olla joustavia datalle tietyillä a priori oletuksilla. Mittausalustojen ohjaus vaatii vastaavasti yhtenäisen, mallien ennustuslaadusta riippuvan, kartoituksen laatumetriikan. Mukautuakseen uuteen informaatioon, ohjausalgoritmin tulee lisäksi pyrkiä joka iteraatiolla minimoimaan tietyn kartoituksen laadun saavuttava kulkuaika. Nämä ovat tämän väitöskirjan pääaiheet. Tämän väitöskirjan keskiössä ovat sellaiset stationaariset ja ei-stationaariset Gaussin prosessit, jotka perustuvat oletukseen että havaittu ilmiö johtuu valkoisen kohinan diffuusiosta. Diffuusiokernelin anisotrooppisuudelle ja skaalalle sallitaan paikkariippuvaisuus. Tässä väitöskirjassa esitetään näiden mallien mukauttamiseen rakennetensoripohjaisia menetelmiä. Suoritetut kokeet osoittavat, että esitetyt iteratiiviset mukauttamismenetelmät tuottavat lähes oikeita diffuusiokernelien arvoja, olettaen, että sensorikohina ei dominoi mittauksia. Mallien ennustustarkkuuden määrittämiseen esitetään keskinäisinformaatioon perustuva kartoituksen laatumetriikka. Väitöskirjassa todistetaan, että optimaalinen ennustuslaatu saavutetaan käyttämällä esitettyä laatumetriikkaa. Väitöskirjassa esitetään lisäksi laatumetriikka, jossa posteriori malli on marginalisoitu kartoituspolkujen jakauman yli. Tämän avulla voidaan huomioida paikannusepävarmuuden vaikutukset mallinnuksessa. Tällöin etuna on se, että kyseinen laatumetriikka suosii implisiittisesti sellaisia mittausalustojen ohjauksia, jotka johtavat aeimmin kartoitetuille tai helposti ennustettaville alueille samalla maksimoiden informaatiohyödyn. Suoritetut kokeet tukevat väittämiä, että väitöskirjassa esitetyt menetelmät tuottavat parhaan ennustusjakauman laadun. Mittausalustojen ohjaus vaatii vastaavasti yhtenäisen, mallien ennustuslaadusta riippuvan, kartoituksen laatumetriikan. Väitöskirjassa esitetään mukautusmenetelmiä kartoituksen laadun kuvaukseksi graafin solmujen kustannuksiksi. Tämän avulla sallitaan sekä spatiaalinen riippuvuus että aktiivinen paikannus. Mittausalustojen ohjaus vaatii vastaavasti yhtenäisen, mallien ennustuslaadusta riippuvan, kartoituksen laatumetriikan
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STEGAGNO, PAOLO. "Mutual localization from anonymous measurements in multi-robot systems". Doctoral thesis, 2012. http://hdl.handle.net/11573/918833.

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Recently, the problem of controlling multi-agent (in particular, multi-robot) systems has attracted increasing attention in view of their pervasive application potential, increased performances and robustness with respect to a single-robot solution. However, their application usually requires a good knowledge of the mutual position and orientation of the components of the system. A great number of techniques have been developed to achieve this result, mainly based on recursive filters, and most of them assume the knowledge of the identity of the measured robots. A still open problem is the data association between measurements and current estimates, i.e., assuming that at a given time a robot has an estimate on the pose of each of its mates and some measurements, the problem of associating each measurement to the originating robot. This problem arises when the robots are equipped with sensors unable to discriminate among different robots, such as range finders, or in adverse environmental conditions. Its impact is reflected in all aspects concerning multi-robot localization, from the formulation of the problem to its solution. For example, the presence of false positives measurements (measurements of obstacles mistaken for robots) is allowed only by this assumptions. Moreover, we will see how the static problem of reconstructing the state of a multi-robot system from the measurements gathered from all its components admits in some particular configurations more than one solution due to the anonymity of the measurements. Last, the filtering itself using the odometry measurements of each robot cannot be performed without reconstructing the identity of the robots. In fact, the knowledge of the identity of the robot sending a given odometry would be useless without the knowledge of the identities of the current estimates. This work will focus mainly on a 2D scenario and a team of differential drive robots modeled as unicycles with the ability of sensing each other's positions. Since we want to design methods suitable for real world implementation, we will assume the presence of false positive and negatives measurements and limited field of view of the sensors. Despite the system being decentralized, we will not discuss synchronization issues, assuming that the robots move slow enough to avoid the introduction of significant error during the delay times. We will explore a number of different possibilities to solve the data association problem, from the more classical ones such as maximum likelihood criterion, to more sophisticated systems based on geometrical considerations or multi-tracking tools. An extensive experimentation will highlight the pros and cons of each method, as well as some extensions of the proposed methods dealing with different types of measurements or models will give rise to interesting considerations

Capitoli di libri sul tema "Mutual localization":

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Zhao, Peisen, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang e Qi Tian. "Bottom-Up Temporal Action Localization with Mutual Regularization". In Computer Vision – ECCV 2020, 539–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58598-3_32.

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Amiranashvili, Vazha, e Gerhard Lakemeyer. "Distributed Multi-robot Localization Based on Mutual Path Detection". In KI 2005: Advances in Artificial Intelligence, 279–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551263_23.

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Lee, Yang Weon. "Implementation of Mutual Localization of Multi-robot Using Particle Filter". In Lecture Notes in Computer Science, 87–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31588-6_12.

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Becker, David, e Max Risler. "Mutual Localization in a Team of Autonomous Robots Using Acoustic Robot Detection". In RoboCup 2008: Robot Soccer World Cup XII, 37–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02921-9_4.

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Li, Jianfeng, e Xiaofei Zhang. "Target Localization for MIMO Radar with Unknown Mutual Coupling Based on Sparse Representation". In China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume III, 465–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54740-9_41.

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Chiew, Shao-Hen, Leong-Chuan Kwek e Chee-Kong Lee. "Exploring the Dynamics of Quantum Information in Many-Body Localised Systems with High Performance Computing". In Supercomputing Frontiers, 43–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10419-0_4.

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Abstract Conventional many-body quantum systems thermalize under their own dynamics, losing information about their initial configurations to the environment. However, it is known that a strong disorder results in many-body localization (MBL). A closed quantum systems with MBL retains local information even in the presence of interactions. Here, we numerically study the propagation and scrambling of quantum information of a closed system in the MBL phase from an information theoretic perspective. By simulating the dynamics and equilibration of the temporal mutual information for long times, we see that it can distinguish between MBL and ergodic phases.
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Vanderschueren, Antoine, Victor Joos e Christophe De Vleeschouwer. "Mutual Use of Semantics and Geometry for CNN-Based Object Localization in ToF Images". In Pattern Recognition. ICPR International Workshops and Challenges, 202–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68790-8_17.

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Chimiak, Galia. "Humane Resources? The People Behind Polish Civil Society Organizations". In Palgrave Studies in Third Sector Research, 217–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99007-7_9.

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AbstractThis chapter maps the transformation of human resources in Polish institutionalized civil society over the last thirty years. Informed by the supply-side perspective, according to which individuals’ motivations and backgrounds provide the major explanatory variable accounting for the establishment and running of civil society organizations, it focuses on individuals who have demonstrated a commitment to working in civil society rather than on a particular type of organizing. More specifically, the study analyzes cases of Polish domestic and global civic engagement—from the Solidarity movement in the late 1980s to contemporary foreign aid initiatives—in order to determine the factors contributing to the seemingly mutually exclusive trends of internationalization and localization of civic activism in Poland.
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Muthert, Hanneke, e Hanneke Schaap-Jonker. "Different Attachment Styles in Relation to Children’s Drawings of God: A Qualitative Exploration of the Use of Symbols in a Dutch Sample". In When Children Draw Gods, 285–321. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-94429-2_11.

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AbstractThe development and functioning of representations of God are complex processes, in which psychological and cultural factors mutually influence each other. Attachment is a psychological factor that can provide insights into the representation and communication of ideas and experiences regarding supernatural agents in children’s drawings and narratives. Our hypotheses: (1) Securely attached children will use more God representation-related symbols in their drawings than insecurely attached children, (2) These symbols will have a referring and self-transcending character. We explore children’s drawings of God and their accompanying narratives with regard to attachment styles. We describe our theoretical framework and discuss the research process, our use of theory and materials, and our findings. We also present a qualitative analysis of drawings by both insecurely and securely attached children, focusing on qualitative aspects of the drawings and their use of religious symbols. Secure attachment is associated with more God representation-related symbols. Other drawing aspects also relate to attachment. We compare the occurrence of attachment characterizations of relationships with God, the padding of the paper, and the use of anthropomorphic and non-anthropomorphic images. Finally, we focus on the concrete localization of God on the paper, and the figurative place where children imagined God to be.
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Meis, Constantin. "Quantized Field of Single Photons". In Single Photon Manipulation. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.88378.

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We present theoretical developments expressing the physical characteristics of a single photon in conformity with the experimental evidence. The quantization of the electromagnetic field vector potential amplitude is enhanced to a free of cavity photon state. Coupling the Schrödinger equation with the relativistic massless particle Hamiltonian to a symmetrical vector potential relation, we establish the vector potential - energy equation for the photon expressing the simultaneous wave-particle nature of a single photon, an intrinsic physical property. It is shown that the vector potential can be naturally considered as a real wave function for the photon entailing a coherent localization probability. We deduce directly the electric and magnetic field amplitudes of the cavity-free single photon, which are revealed to be proportional to the square of the angular frequency. The zero-energy electromagnetic field ground state (EFGS), a quantum vacuum real component, issues naturally from Maxwell’s equations and the vector potential quantization procedure. The relation of the quantized amplitude of the photon vector potential to the electron-positron charge results directly showing the physical relationship between photons and electrons-positrons that might be at the origin of their mutual transformations. It becomes obvious that photons, as well as electrons-positrons, are issued from the same quantum vacuum field.

Atti di convegni sul tema "Mutual localization":

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Hukui, Shigekazu, Jie Luo, Takuma Daicho, Keigo Suenaga e Keitaro Naruse. "Mutual localization of sensor node robots". In 2010 2nd International Symposium on Aware Computing (ISAC). IEEE, 2010. http://dx.doi.org/10.1109/isac.2010.5670463.

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Alempijevic, Alen, Sarath Kodagoda e Gamini Dissanayake. "Cross-modal localization through mutual information". In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354200.

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Stegagno, Paolo, Marco Cognetti, Antonio Franchi e Giuseppe Oriolo. "Mutual localization using anonymous bearing measurements". In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6048318.

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Ryde, Julian, e Huosheng Hu. "Cooperative Mutual 3D Laser Mapping and Localization". In 2006 IEEE International Conference on Robotics and Biomimetics. IEEE, 2006. http://dx.doi.org/10.1109/robio.2006.340373.

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Delabarre, Bertrand, e Eric Marchand. "Camera localization using mutual information-based multiplane tracking". In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6696566.

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Cognetti, Marco, Paolo Stegagno, Antonio Franchi, Giuseppe Oriolo e Heinrich H. Bulthoff. "3-D mutual localization with anonymous bearing measurements". In 2012 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2012. http://dx.doi.org/10.1109/icra.2012.6225288.

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Todd Flanagan, Samuel, Drupad K. Khublani, J. F. Chamberland, Siddharth Agarwal e Ankit Vora. "Enhanced Normalized Mutual Information for Localization in Noisy Environments". In 2020 IEEE Applied Signal Processing Conference (ASPCON). IEEE, 2020. http://dx.doi.org/10.1109/aspcon49795.2020.9276658.

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Zalzal, Vincent, e Paul Cohen. "Mutual Localization of Mobile Robotic Platforms Using Kalman Filtering". In IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics. IEEE, 2006. http://dx.doi.org/10.1109/iecon.2006.347488.

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9

Güler, Samet, İ. Yıldırım e H. Alabay. "Mutual Relative Localization in Heterogeneous Air-ground Robot Teams". In 19th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011267800003271.

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10

Weng, Yixuan, e Bin Li. "Visual Answer Localization with Cross-Modal Mutual Knowledge Transfer". In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10095026.

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Rapporti di organizzazioni sul tema "Mutual localization":

1

Granot, David, Richard Amasino e Avner Silber. Mutual effects of hexose phosphorylation enzymes and phosphorous on plant development. United States Department of Agriculture, gennaio 2006. http://dx.doi.org/10.32747/2006.7587223.bard.

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Abstract (sommario):
Research objectives 1) Analyze the combined effects of hexose phosphorylation and P level in tomato and Arabidopsis plants 2) Analyze the combined effects of hexose phosphorylation and P level in pho1 and pho2 Arabidopsis mutants 3) Clone and analyze the PHO2 gene 4) Select Arabidopsis mutants resistant to high and low P 5) Analyze the Arabidopsis mutants and clone the corresponding genes 6) Survey wild tomato species for growth characteristics at various P levels Background to the topic Hexose phosphorylating enzymes, the first enzymes of sugar metabolism, regulate key processes in plants such as photosynthesis, growth, senescence and vascular transport. We have previously discovered that hexose phosphorylating enzymes might regulate these processes as a function of phosphorous (P) concentration, and might accelerate acquisition of P, one of the most limiting nutrients in the soil. These discoveries have opened new avenues to gain fundamental knowledge about the relationship between P, sugar phosphorylation and plant development. Since both hexose phosphorylating enzymes and P levels affect plant development, their interaction is of major importance for agriculture. Due to the acceleration of senescence caused by the combined effects of hexose phosphorylation and P concentration, traits affecting P uptake may have been lost in the course of cultivation in which fertilization with relatively high P (30 mg/L) are commonly used. We therefore intended to survey wild tomato species for high P-acquisition at low P soil levels. Genetic resources with high P-acquisition will serve not only to generate a segregating population to map the trait and clone the gene, but will also provide a means to follow the trait in classical breeding programs. This approach could potentially be applicable for other crops as well. Major conclusions, solutions, achievements Our results confirm the mutual effect of hexose phosphorylating enzymes and P level on plant development. Two major aspects of this mutual effect arose. One is related to P toxicity in which HXK seems to play a major role, and the second is related to the effect of HXK on P concentration in the plant. Using tomato plants we demonstrated that high HXK activity increased leaf P concentration, and induced P toxicity when leaf P concentration increases above a certain high level. These results further support our prediction that the desired trait of high-P acquisition might have been lost in the course of cultivation and might exist in wild species. Indeed, in a survey of wild species we identified tomato species that acquired P and performed better at low P (in the irrigation water) compared to the cultivated Lycopersicon esculentum species. The connection between hexose phosphorylation and P toxicity has also been shown with the P sensitive species VerticordiaplumosaL . in which P toxicity is manifested by accelerated senescence (Silber et al., 2003). In a previous work we uncovered the phenomenon of sugar induced cell death (SICD) in yeast cells. Subsequently we showed that SICD is dependent on the rate of hexose phosphorylation as determined by Arabidopsis thaliana hexokinase. In this study we have shown that hexokinase dependent SICD has many characteristics of programmed cell death (PCD) (Granot et al., 2003). High hexokinase activity accelerates senescence (a PCD process) of tomato plants, which is further enhanced by high P. Hence, hexokinase mediated PCD might be a general phenomena. Botrytis cinerea is a non-specific, necrotrophic pathogen that attacks many plant species, including tomato. Senescing leaves are particularly susceptible to B. cinerea infection and delaying leaf senescence might reduce this susceptibility. It has been suggested that B. cinerea’s mode of action may be based on induction of precocious senescence. Using tomato plants developed in the course of the preceding BARD grant (IS 2894-97) and characterized throughout this research (Swartzberg et al., 2006), we have shown that B. cinerea indeed induces senescence and is inhibited by autoregulated production of cytokinin (Swartzberg et al., submitted). To further determine how hexokinase mediates sugar effects we have analyzed tomato plants that express Arabidopsis HXK1 (AtHXK1) grown at different P levels in the irrigation water. We found that Arabidopsis hexokinase mediates sugar signalling in tomato plants independently of hexose phosphate (Kandel-Kfir et al., submitted). To study which hexokinase is involved in sugar sensing we searched and identified two additional HXK genes in tomato plants (Kandel-Kfir et al., 2006). Tomato plants have two different hexose phosphorylating enzymes; hexokinases (HXKs) that can phosphorylate either glucose or fructose, and fructokinases (FRKs) that specifically phosphorylate fructose. To complete the search for genes encoding hexose phosphorylating enzymes we identified a forth fructokinase gene (FRK) (German et al., 2004). The intracellular localization of the four tomato HXK and four FRK enzymes has been determined using GFP fusion analysis in tobacco protoplasts (Kandel-Kfir et al., 2006; Hilla-Weissler et al., 2006). One of the HXK isozymes and one of the FRK isozymes are located within plastids. The other three HXK isozymes are associated with the mitochondria while the other three FRK isozymes are dispersed in the cytosol. We concluded that HXK and FRK are spatially separated in plant cytoplasm and accordingly might play different metabolic and perhaps signalling roles. We have started to analyze the role of the various HXK and FRK genes in plant development. So far we found that LeFRK2 is required for xylem development (German et al., 2003). Irrigation with different P levels had no effect on the phenotype of LeFRK2 antisense plants. In the course of this research we developed a rapid method for the analysis of zygosity in transgenic plants (German et al., 2003).
2

Izhar, Shamay, Maureen Hanson e Nurit Firon. Expression of the Mitochondrial Locus Associated with Cytoplasmic Male Sterility in Petunia. United States Department of Agriculture, febbraio 1996. http://dx.doi.org/10.32747/1996.7604933.bard.

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The main goal of the proposed research was to continue the mutual investigations into the molecular basis of CMS and male fertility restoration [MRF], with the ultimate goal of understanding these phenomena in higher plants. The experiments focused on: (1) dissecting apart the complex CMS - specific mitochondrial S-Pcf locus, in order to distinguish its essential parts which cause sterility from other parts and study its molecular evolution. (2) Studying the expression of the various regions of the S-Pcf locus in fertile and sterile lines and comparing the structure and ultrastructure of sterile and fertile tissues. (3) Determine whether alteration in respiration is genetically associated with CMS. Our mutual investigations further substantiated the association between the S-Pcf locus and CMS by the findings that the fertile phenotype of a population of unstable petunia somatic hybrids which contain the S-Pcf locus, is due to the presence of multiple muclear fertility restoration genes in this group of progenies. The information obtained by our studies indicate that homologous recombination played a major role in the molecular evolution of the S-Pcf locus and the CMS trait and in the generation of mitochondrial mutations in general. Our data suggest that the CMS cytoplasm evolved by introduction of a urs-s containing sublimon into the main mitochondrial genome via homologous recombination. We have also found that the first mutation detected so far in S-Pcf is a consequence of a homologous recombination mechanism involving part of the cox2 coding sequence. In all the cases studied by us, at the molecular level, we found that fusion of two different cells caused mitochondrial DNA recombination followed by sorting out of a specific mtDNA population or sequences. This sequence of events suggested as a mechanism for the generation of novel mitochondrial genomes and the creation of new traits. The present research also provides data concerning the expression of the recombined and complex CMS-specific S-Pcf locus as compared with the expression of additional mitochondrial proteins as well as comparative histological and ultrastructural studies of CMS and fertile Petunia. Evidence is provided for differential localization of mitochondrially encoded proteins in situ at the tissue level. The similar localization patterns of Pcf and atpA may indicate that Pcf product could interfere with the functioning of the mitochondrial ATPase in a tissue undergoing meiosis and microsporogenesis. Studies of respiration in CMS and fertile Petunia lines indicate that they differe in the partitioning of electron transport through the cytochrome oxidase and alternative oxidase pathways. The data indicate that the electron flux through the two oxidase pathways differs between mitochondria from fertile and sterile Petunia lines at certain redox states of the ubiquinone pool. In summary, extensive data concerning the CMS-specific S-Pcf locus of Petunia at the DNA and protein levels as well as information concerning different biochemical activity in CMS as compared to male fertile lines have been accumulated during the three years of this project. In addition, the involvement of the homologous recombination mechanism in the evolution of mt encoded traits is emphasized.

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