Relevant bibliographies by topics / Neighborhood of a point

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Neighborhood of a point'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Neighborhood of a point"

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Beketayev, Kenes, Damir Yeliussizov, Dmitriy Morozov, Gunther H. Weber, and Bernd Hamann. "Measuring the Error in Approximating the Sub-Level Set Topology of Sampled Scalar Data." International Journal of Computational Geometry & Applications 28, no. 01 (2018): 57–77. http://dx.doi.org/10.1142/s0218195918500036.

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This paper studies the influence of the definition of neighborhoods and methods used for creating point connectivity on topological analysis of scalar functions. It is assumed that a scalar function is known only at a finite set of points with associated function values. In order to utilize topological approaches to analyze the scalar-valued point set, it is necessary to choose point neighborhoods and, usually, point connectivity to meaningfully determine critical-point behavior for the point set. Two distances are used to measure the difference in topology when different point neighborhoods and means to define connectivity are used: (i) the bottleneck distance for persistence diagrams and (ii) the distance between merge trees. Usually, these distances define how different scalar functions are with respect to their topology. These measures, when properly adapted to point sets coupled with a definition of neighborhood and connectivity, make it possible to understand how topological characteristics depend on connectivity. Noise is another aspect considered. Five types of neighborhoods and connectivity are discussed: (i) the Delaunay triangulation; (ii) the relative neighborhood graph; (iii) the Gabriel graph; (iv) the [Formula: see text]-nearest-neighbor (KNN) neighborhood; and (v) the Vietoris–Rips complex. It is discussed in detail how topological characterizations depend on the chosen connectivity.
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Wang, Lei, Ming Huang, Zhenqing Yang, et al. "LBNP: Learning features between neighboring points for point cloud classification." PLOS ONE 20, no. 1 (2025): e0314086. https://doi.org/10.1371/journal.pone.0314086.

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Inspired by classical works, when constructing local relationships in point clouds, there is always a geometric description of the central point and its neighboring points. However, the basic geometric representation of the central point and its neighborhood is insufficient. Drawing inspiration from local binary pattern algorithms used in image processing, we propose a novel method for representing point cloud neighborhoods, which we call Point Cloud Local Auxiliary Block (PLAB). This module explores useful neighborhood features by learning the relationships between neighboring points, thereby enhancing the learning capability of the model. In addition, we propose a pure Transformer structure that takes into account both local and global features, called Dual Attention Layer (DAL), which enables the network to learn valuable global features as well as local features in the aggregated feature space. Experimental results show that our method performs well on both coarse- and fine-grained point cloud datasets. We will publish the code and all experimental training logs on GitHub.
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Shen, Yaqi, Le Hui, Haobo Jiang, Jin Xie, and Jian Yang. "Reliable Inlier Evaluation for Unsupervised Point Cloud Registration." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (2022): 2198–206. http://dx.doi.org/10.1609/aaai.v36i2.20117.

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Unsupervised point cloud registration algorithm usually suffers from the unsatisfied registration precision in the partially overlapping problem due to the lack of effective inlier evaluation. In this paper, we propose a neighborhood consensus based reliable inlier evaluation method for robust unsupervised point cloud registration. It is expected to capture the discriminative geometric difference between the source neighborhood and the corresponding pseudo target neighborhood for effective inlier distinction. Specifically, our model consists of a matching map refinement module and an inlier evaluation module. In our matching map refinement module, we improve the point-wise matching map estimation by integrating the matching scores of neighbors into it. The aggregated neighborhood information potentially facilitates the discriminative map construction so that high-quality correspondences can be provided for generating the pseudo target point cloud. Based on the observation that the outlier has the significant structure-wise difference between its source neighborhood and corresponding pseudo target neighborhood while this difference for inlier is small, the inlier evaluation module exploits this difference to score the inlier confidence for each estimated correspondence. In particular, we construct an effective graph representation for capturing this geometric difference between the neighborhoods. Finally, with the learned correspondences and the corresponding inlier confidence, we use the weighted SVD algorithm for transformation estimation.Under the unsupervised setting, we exploit the Huber function based global alignment loss, the local neighborhood consensus loss and spatial consistency loss for model optimization. The experimental results on extensive datasets demonstrate that our unsupervised point cloud registration method can yield comparable performance.
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Tian, Fujing, Zhidi Jiang, and Gangyi Jiang. "DNet: Dynamic Neighborhood Feature Learning in Point Cloud." Sensors 21, no. 7 (2021): 2327. http://dx.doi.org/10.3390/s21072327.

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Neighborhood selection is very important for local region feature learning in point cloud learning networks. Different neighborhood selection schemes may lead to quite different results for point cloud processing tasks. The existing point cloud learning networks mainly adopt the approach of customizing the neighborhood, without considering whether the selected neighborhood is reasonable or not. To solve this problem, this paper proposes a new point cloud learning network, denoted as Dynamic neighborhood Network (DNet), to dynamically select the neighborhood and learn the features of each point. The proposed DNet has a multi-head structure which has two important modules: the Feature Enhancement Layer (FELayer) and the masking mechanism. The FELayer enhances the manifold features of the point cloud, while the masking mechanism is used to remove the neighborhood points with low contribution. The DNet can learn the manifold features and spatial geometric features of point cloud, and obtain the relationship between each point and its effective neighborhood points through the masking mechanism, so that the dynamic neighborhood features of each point can be obtained. Experimental results on three public datasets demonstrate that compared with the state-of-the-art learning networks, the proposed DNet shows better superiority and competitiveness in point cloud processing task.
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Zhu, Yushu, and Qiang Fu. "Deciphering the Civic Virtue of Communal Space." Environment and Behavior 49, no. 2 (2016): 161–91. http://dx.doi.org/10.1177/0013916515627308.

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Drawing on a citywide survey of 39 urban neighborhoods and a qualitative case study of a neighborhood in Guangzhou, China, this research addresses how communal space, social capital, and neighborhood attachment (NA) jointly shape neighborhood participation (NP). Communal space is strongly and significantly associated with NP. Furthermore, we find that communal space is related to NP in two ways: promoting place-based social relations (the social-capital mechanism) and nurturing place attachment (the intrapsychic mechanism). These findings point to the significance of communal space as a civic focal point in community building and place making.
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Witczak, Tomasz. "Topological and Multi-Topological Frames in the Context of Intuitionistic Modal Logic." Bulletin of the Section of Logic 48, no. 3 (2019): 187–205. http://dx.doi.org/10.18778/0138-0680.48.3.03.

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We present three examples of topological semantics for intuitionistic modal logic with one modal operator □. We show that it is possible to treat neighborhood models, introduced earlier, as topological or multi-topological. From the neighborhood point of view, our method is based on differences between properties of minimal and maximal neighborhoods. Also we propose transformation of multitopological spaces into the neighborhood structures.
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Weinmann, M., B. Jutzi, and C. Mallet. "Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3 (August 7, 2014): 181–88. http://dx.doi.org/10.5194/isprsannals-ii-3-181-2014.

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3D scene analysis by automatically assigning 3D points a semantic label has become an issue of major interest in recent years. Whereas the tasks of feature extraction and classification have been in the focus of research, the idea of using only relevant and more distinctive features extracted from optimal 3D neighborhoods has only rarely been addressed in 3D lidar data processing. In this paper, we focus on the interleaved issue of extracting relevant, but not redundant features and increasing their distinctiveness by considering the respective optimal 3D neighborhood of each individual 3D point. We present a new, fully automatic and versatile framework consisting of four successive steps: (i) optimal neighborhood size selection, (ii) feature extraction, (iii) feature selection, and (iv) classification. In a detailed evaluation which involves 5 different neighborhood definitions, 21 features, 6 approaches for feature subset selection and 2 different classifiers, we demonstrate that optimal neighborhoods for individual 3D points significantly improve the results of scene interpretation and that the selection of adequate feature subsets may even further increase the quality of the derived results.
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Chen, Dong. "On total flexibility of local structures of Finsler tori without conjugate points." Journal of Topology and Analysis 11, no. 02 (2019): 349–55. http://dx.doi.org/10.1142/s1793525319500158.

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Cope, Michael R., Jorden E. Jackson, Scott R. Sanders, Lance D. Erickson, Tippe Morlan, and Ralph B. Brown. "The Manifestation of Neighborhood Effects: A Pattern for Community Growth?" Societies 10, no. 1 (2020): 16. http://dx.doi.org/10.3390/soc10010016.

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Neighborhood effects, or the development of community by neighborhoods, are often studied in an urban context. Previous research has neglected to examine the influence of neighborhoods in nonurban settings. Our case study, however, contributes to the existing literature as it takes place in a small, rural-to-urban town at an important point in time where the town was urbanizing. We find that neighborhood effects also influence community satisfaction and attachment in Creekdale, an urbanizing town. Using survey data (N = 1006) drawn from the Creekdale Community Citizens Viewpoint Survey (CCVS), we find that, contrary to conventional wisdom, population size and density does not matter necessarily for an individual’s community attachment and satisfaction; community experience is shaped by neighborhood effects.
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Gorbunova, Lidia A., Jens Ambrasat, and Christian von Scheve. "Neighborhood Stereotypes and Interpersonal Trust in Social Exchange: An Experimental Study." City & Community 14, no. 2 (2015): 206–25. http://dx.doi.org/10.1111/cico.12112.

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Recent research indicates that segregation is, in addition to many other undesirable consequences, negatively associated with social capital, in particular, generalized trust within a community. This study investigates whether an individual's residential neighborhood and the stereotypes associated with this neighborhood affect others’ trusting behavior as a specific form of social exchange. Using an anonymous trust game experiment in the context of five districts of the German capital, Berlin, we show that trusting is contingent on others’ residential neighborhood rather than on deliberate assessments of trustworthiness. Participants show significantly greater trust toward individuals from positively stereotyped neighborhoods with favorable sociodemographic characteristics than to persons from negatively stereotyped neighborhoods with unfavorable sociodemographics. Importantly, when stereotypes and sociodemographic factors point in opposite directions, participants’ trust decisions reflect stereotype content.
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Dissertations / Theses on the topic "Neighborhood of a point"

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Otepka, Johannes, Sajid Ghuffar, Christoph Waldhauser, Ronald Hochreiter, and Norbert Pfeifer. "Georeferenced Point Clouds: A Survey of Features and Point Cloud Management." MDPI AG, 2013. http://dx.doi.org/10.3390/ijgi2041038.

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This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a categorization of features into levels that reflect the amount of processing. Point clouds are found across many disciplines, which is reflected in the versatility of the literature suggesting specific features. (authors' abstract)
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Skrodzki, Martin [Verfasser]. "Neighborhood Data Structures, Manifold Properties, and Processing of Point Set Surfaces / Martin Skrodzki." Berlin : Freie Universität Berlin, 2019. http://d-nb.info/1193086159/34.

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Sobchuk, Valentyn V., V. H. Samoilenko, Валентин Володимирович Собчук, and В. Г. Самойленко. "Existence of periodic solutions to differential equations with pulse action in a neighborhood of composite singular points." Thesis, European Mathematical Society, 2006. http://esnuir.eenu.edu.ua/handle/123456789/1153.

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Barbour, Frank Shaw. "Recreation as destination how a public recreation space influences physical activity in a low-income neighborhood in a small Mississippi town /." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-11092007-115745.

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Elias, Renee Roy. "Grocery Stores| Neighborhood Retail or Urban Panacea? Exploring the Intersections of Federal Policy, Community Health, and Revitalization in Bayview Hunters Point and West Oakland, California." Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3616545.

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<p> Throughout the nation, grocery retailers are reentering underserved communities amidst growing public awareness of food deserts and the rise of federal, state, and local programs incentivizing urban grocery stores. And yet, even with expanding research on food deserts and their public health impacts, there is still a lack of consensus on whether grocery stores truly offer the best solution. Furthermore, scholars and policymakers alike have limited understandings of the broader neighborhood implications of grocery stores newly introduced into underserved urban communities.</p><p> This dissertation analyzes how local organizations and agencies pursue grocery development in order to understand the conditions for success implementation. To do this, I examine the historical drivers, planning processes, and outcomes of two extreme cases of urban grocery development: a Fresh and Easy Neighborhood Market (a chain value store) in San Francisco's Bayview Hunters Point and the Mandela Foods Cooperative (a worker-owned cooperative) in Oakland's West Oakland districts. </p><p> Through a comparative institutional analysis, I find that both Fresh and Easy and Mandela Foods reflect distinctive neighborhood revitalization legacies, critical moments of institutional capacity building, localized versions of national policy narratives, and the role of charismatic leaders in grocery store implementation. While national narratives shape the rhetoric of urban grocery development, ultimately local context dictates how food access issues are defined, who addresses them, and how. These findings suggest that federal grocery incentive programs should: 1) maintain a broad framework that enables local communities to define food access problems and their solutions on a case-by-case basis, 2) encourage diverse solutions not limited to grocery stores and supermarkets, and 3) emphasize community reinvestment goals.</p>
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Oropallo, William Edward Jr. "A Point Cloud Approach to Object Slicing for 3D Printing." Thesis, University of South Florida, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10751757.

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<p> Various industries have embraced 3D printing for manufacturing on-demand, custom printed parts. However, 3D printing requires intelligent data processing and algorithms to go from CAD model to machine instructions. One of the most crucial steps in the process is the slicing of the object. Most 3D printers build parts by accumulating material layers by layer. 3D printing software needs to calculate these layers for manufacturing by slicing a model and calculating the intersections. Finding exact solutions of intersections on the original model is mathematically complicated and computationally demanding. A preprocessing stage of tessellation has become the standard practice for slicing models. Calculating intersections with tessellations of the original model is computationally simple but can introduce inaccuracies and errors that can ruin the final print. </p><p> This dissertation shows that a point cloud approach to preprocessing and slicing models is robust and accurate. The point cloud approach to object slicing avoids the complexities of directly slicing models while evading the error-prone tessellation stage. An algorithm developed for this dissertation generates point clouds and slices models within a tolerance. The algorithm uses the original NURBS model and converts the model into a point cloud, based on layer thickness and accuracy requirements. The algorithm then uses a gridding structure to calculate where intersections happen and fit B-spline curves to those intersections. </p><p> This algorithm finds accurate intersections and can ignore certain anomalies and error from the modeling process. The primary point evaluation is stable and computationally inexpensive. This algorithm provides an alternative to challenges of both the direct and tessellated slicing methods that have been the focus of the 3D printing industry.</p><p>
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Shannon-Flagg, Lisa. ""A Little Bit of Heaven": The Inception, Climax and Transformation of the East Washington Community in East Point, Georgia." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-07012008-140348/.

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Thesis (M.A.)--Georgia State University, 2008.<br>Title from file title page. Clifford Kuhn, committee chair; Jacqueline A. Rouse, committee member. Electronic text (104 [i.e. 103] p. : ill. (some col.), col. maps) : digital, PDF file. Description based on contents viewed Sept. 25, 2008. Includes bibliographical references (p. 100-103).
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Garriott, Russell A. "A neighborhood plan for the Bloomingdale Neighborhood Association." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1244864.

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This creative project outlines the process used in developing an action oriented and citizen based neighborhood plan for the Bloomingdale Neighborhood, located in Fort Wayne, Indiana. As a member of the City of Fort Wayne Planning Department, I was the lead staff person in the development of this plan. The plan was designed to identify and resolve neighborhood issues with manageable goals and specific action steps. Though the planning department initiated the process and took a leadership role in the plan's development, the neighborhood association ultimately determined the plan's focus and direction. This allowed the association to take ownership of the process and ultimately the plan. The techniques and methods used in the process for developing the Bloomingdale Plan will be incorporated in future neighborhood planning efforts in Fort Wayne.<br>Department of Urban Planning
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Vadia, Alberto R. "Feed the neighborhood : a recipe for neighborhood rejuvenation." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/115664.

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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, February 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 54-56).<br>There are neighborhoods right in the heart of a city that seem dead and forgotten. The inhabitants of the city steer clear of these neighborhoods. I believe many people perceive these places to be beyond repair. Yet, there are a few individuals who have seen potential in the forgotten neighborhood and were able to revive them. In most cases they did it with minimal investment coupled with a belief that it could be done. A true underdog story. The questions I aim to answer are: How were these neighborhoods turned around? What are the attributes and characteristics they all share? Essentially, what is the secret sauce to reviving a beat up neighborhood? I believe it is important to study those people that have successfully revived more than one neighborhood, because, if you have done it more than once then it is not a fluke and we should pay special attention. We focus on two men, Tony Goldman and Joe Englert. They are responsible for the successful rejuvenation of seven neighborhoods. My goal in writing this is to give others confidence that a neighborhood can be revived and give them a path to do so.<br>by Alberto R. Vadia.<br>S.M. in Real Estate Development
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Crangle, Sara Colfax. "DYNAMIC NEIGHBORHOOD IDENTITIES: GENTRIFICATION AND CONSUMPTION UPON NEIGHBORHOOD IDENTITY POLITICS." Oxford, Ohio : Miami University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1217948918.

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Books on the topic "Neighborhood of a point"

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Wetzel, Hayden M. Buzzard Point, DC: A brief history of a brief neighborhood. [Hayden M. Wetzel?], 2014.

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Meixell, Brady. Predicting the Point: New York City’s de Blasio Era Neighborhood Rezonings, Points of Agreement, and How Neighborhoods Navigated these Complex Negotiations. [publisher not identified], 2022.

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Crownover, Jay. Better when he's bad: A welcome to The Point novel. William Morrow Paperbacks, an Imprint of HarperCollinsPublishers, 2014.

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Joseph, Peniel E., ed. Neighborhood Rebels. Palgrave Macmillan US, 2010. http://dx.doi.org/10.1057/9780230102309.

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), Bellingham (Wash. [Neighborhood plans]. City of Bellingham, 2005.

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Sherman, Lawrence W. Neighborhood safety. U.S. Dept. of Justice, National Institute of Justice, 1988.

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Holland, Trish. Neighborhood song. Teaching Strategies, Inc., 2010.

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Neiderman, Andrew. Neighborhood watch. Pocket Books, 2000.

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Brown, Marc Tolon. Arthur's neighborhood. Random House, 1996.

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Dış Politika Enstitüsü (Ankara, Turkey), ed. Turkey's neighborhood. Foreign Policy Institute, 2010.

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Book chapters on the topic "Neighborhood of a point"

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Schmitt, Frank, and Lutz Priese. "Vanishing Point Detection with an Intersection Point Neighborhood." In Discrete Geometry for Computer Imagery. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04397-0_12.

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Getis, Arthur, and Janet Franklin. "Second-Order Neighborhood Analysis of Mapped Point Patterns." In Perspectives on Spatial Data Analysis. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-642-01976-0_7.

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Franz, Yvonne. "Ordinary Invitations in Spaces of Everyday Life." In Platformization of Urban Life. transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839459645-014.

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Yvonne Franz starts from the position that urban neighborhoods represent focal points of everyday life. Practices of everyday life occur largely through unplanned, superficial, fluid, and temporally limited interactions. Neighborhoods can be seen as the built environment in which people form public spaces, allowing for contact, interaction, and more. These platform-like spaces might be considered as entry points from which one might socially arrive in a neighborhood, or from which one might depart when staying feels unpleasant or uncomfortable rather than inviting. As such, arriving in a neighborhood also means making social connections and participating in everyday life.
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Pérez-Peló, Sergio, Jesús Sánchez-Oro, and Abraham Duarte. "Detecting Weak Points in Networks Using Variable Neighborhood Search." In Variable Neighborhood Search. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15843-9_12.

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Freidlin, M. I., and A. D. Wentzell. "Gaussian Perturbations of Dynamical Systems. Neighborhood of an Equilibrium Point." In Grundlehren der mathematischen Wissenschaften. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0611-8_5.

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Arutyunov, Aram V. "Study of Mappings in a Neighborhood of an Abnormal Point." In Optimality Conditions: Abnormal and Degenerate Problems. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9438-7_4.

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Freidlin, Mark I., and Alexander D. Wentzell. "Gaussian Perturbations of Dynamical Systems. Neighborhood of an Equilibrium Point." In Grundlehren der mathematischen Wissenschaften. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25847-3_4.

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Förstner, Wolfgang. "Uncertain Neighborhood Relations of Point Sets and Fuzzy Delaunay Triangulation." In Informatik aktuell. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60243-6_25.

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Wang, Hongcheng, Dongdong Zhang, Taotao Liu, and Xumai Qi. "Neighborhood Feature Enhancement Flow Diffusion Model for Point Cloud Generation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78389-0_23.

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Sidorov, Nikolay, Boris Loginov, Aleksandr Sinitsyn, and Michail Falaleev. "Regularization of Computation of Solutions in a Neighborhood of the Branch Point." In Lyapunov-Schmidt Methods in Nonlinear Analysis and Applications. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-2122-6_3.

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Conference papers on the topic "Neighborhood of a point"

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Ghafari, Mohammadreza, André F. R. Guarda, Nuno M. M. Rodrigues, and Fernando Pereira. "Point Cloud Geometry Coding with Relational Neighborhood Self-Attention." In 2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2024. http://dx.doi.org/10.1109/mmsp61759.2024.10743834.

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Yu, Yuewen, Chuchang Lin, Xiaobo Chen, and Juntong Xi. "Point cloud registration algorithm based on neighborhood feature similarity for contour fitting." In Sixteenth International Conference on Digital Image Processing (ICDIP 2024), edited by Zhaohui Wang, Jindong Tian, and Mrinal Mandal. SPIE, 2024. http://dx.doi.org/10.1117/12.3037767.

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Jiang, Yan, Guisheng Yin, Ye Yuan, Jingjing Chen, and Zhipeng Wei. "Cross-Point Adversarial Attack Based on Feature Neighborhood Disruption Against Segment Anything Model." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687491.

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Babadzanjanz, L. K., I. Yu Pototskaya, Yu Yu Pupysheva, and V. S. Korolev. "EXPENDITURE OPTIMAL CONTROL FOR A SATELLITE MOVING CLOSE TO THE LIBRATION POINT." In SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/6.1/s28.64.

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Satellite motion control in the vicinity of the libration point with expenditure criteria is considered. Expenditure optimization is natural in the case, where it is necessary to keep mechanical system in the neighborhood of the equilibrium point for a long time. Disturbing factors from time to time distort this system unacceptably far from the equilibrium point, and we need to extinguish these deviations, using fuel or another resource, which reserves are limited. Optimization of the satellite motion control according to this criterion is important not only from the economic and technical side, but also brings an environmental effect. Features of the presented mathematical problem definition are following. While deviations from the equilibrium point are very small, its controlled motion can be by linear differential equations with constant coefficients. The admissible control is a piecewise polynomial function that blanks selected frequency components of the solution of linear equations at the terminated moment T. As the expenditure functional we use the integral of the sum of the control coordinates modules along the interval [0,T]. As the results of solving the problem, formulas and an algorithm for finding the control switching points satisfying the expenditure functional extremum necessary conditions are proposed.
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He, Miao, Yongzhi Qu, Eric Bechhoefer, and David He. "A New Acoustic Emission Signal Processing and Feature Extraction Approach for Bearing Fault diagnosis." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11903.

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A new acoustic emission (AE) signal processing and feature extraction approach to bearing fault diagnosis is presented in this paper. The presented approach uses time-frequency manifold analysis to extract time-frequency manifold feature (TFMFs) from AE signals. It reconstructs a manifold by embedding AE signals into a high-dimensional phase space. The tangent direction of the neighborhood for each point is then used to approximate its local geometry. The variation of the manifolds representing different condition states of the bearing can be revealed by performing multi-way principal component analysis. The AE signals acquired from a bearing test rig are used to validate the presented approach. The test results have shown that the presented approach can interpret different bearing conditions and is effective for bearing fault diagnosis.
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Yuan, Xiaocui, Qingjin Peng, Lushen Wu, and Huawei Chen. "A Novel Method of Normal Estimation for 3D Surface Reconstruction." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46484.

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A 3D object can be recovered from scanned point data, which requires accurate estimating normal directions of the object surface from the cloud data. Many point cloud processing algorithms rely on the accurate normal as input to generate an accurate 3D surface model. The neighborhood of a data point in its smooth region can be well approximated by a plane. However, the neighborhood of a feature point employed for the normal estimation is isotropic which would enclose points belonging to different surface patches across the sharp feature. In this paper, isotropic neighborhoods are segmented to search anisotropic neighborhoods for the accurate normal estimation. Normals and candidate feature points are first estimated by the principal component analysis (PCA) method. Neighborhoods of the feature point are then mapped into a Gaussian image. A k-means clustering algorithm is then used for the Gaussian image to identify an anisotropic sub-neighborhood for the data point. The normal of the candidate feature point is finally estimated by the anisotropic neighborhood with the PCA method. The proposed method can accurately estimate normal directions while preserving sharp features of the object surface. Applications have demonstrated the effectiveness of the proposed method.
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Wan, Renxia, Lixin Wang, and Zijun Hao. "Clustering compatible objects by point neighborhood." In 2010 International Conference on Artificial Intelligence and Education (ICAIE). IEEE, 2010. http://dx.doi.org/10.1109/icaie.2010.5641428.

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Ando, Keiko, Mitsunori Miki, and Tomoyuki Hiroyasu. "Multi-point Simulated Annealing with Adaptive Neighborhood." In 2006 IEEE Conference on Cybernetics and Intelligent Systems. IEEE, 2006. http://dx.doi.org/10.1109/iccis.2006.252250.

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Sheshappanavar, Shivan Venkanna, and Chandra Kambhamettu. "SimpleView++: Neighborhood Views for Point Cloud Classification." In 2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2022. http://dx.doi.org/10.1109/mipr54900.2022.00013.

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He, Yong-Xing, Xin-Liang Ou, and Xiao-Lan Kuang. "Application of neighborhood feature in point clouds registration." In 2011 International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2011. http://dx.doi.org/10.1109/iccsnt.2011.6182093.

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Reports on the topic "Neighborhood of a point"

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Rodier, Caroline, Andrea Broaddus, Miguel Jaller, Jeffery Song, Joschka Bischoff, and Yunwan Zhang. Cost-Benefit Analysis of Novel Access Modes: A Case Study in the San Francisco Bay Area. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1816.

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The first-mile, last-mile problem is a significant deterrent for potential transit riders, especially in suburban neighborhoods with low density. Transit agencies have typically sought to solve this problem by adding parking spaces near transit stations and adding stops to connect riders to fixed-route transit. However, these measures are often only short-term solutions. In the last few years, transit agencies have tested whether new mobility services, such as ridehailing, ridesharing, and microtransit, can offer fast, reliable connections to and from transit stations. However, there is limited research that evaluates the potential impacts of these projects. Concurrently, there is growing interest in the future of automated vehicles (AVs) and the potential of AVs to solve this first-mile problem by reducing the cost of providing these new mobility services to promote access to transit. This paper expands upon existing research to model the simulate the travel and revenue impacts of a fleet of automated vehicles that provide transit access services in the San Francisco Bay Area offered over a range of fares. The model simulates a fleet of AVs for first-mile transit access at different price points for three different service models (door-to-door ridehailing and ridesharing and meeting point ridesharing services). These service models include home-based drop-off and pick-up for single passenger service (e.g., Uber and Lyft), home-based drop-off and pick-up for multi-passenger service (e.g., microtransit), and meeting point multi-passenger service (e.g., Via).
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Mendez, Jose, Umair Masud, and Jerry Bodman. Neighborhood Keeper. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1923699.

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Hartle, Jennifer C., Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, and Matt McGahan. Assessing Public Health Benefits of Replacing Freight Trucks with Cargo Cycles in Last Leg Delivery Trips in Urban Centers. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.1952.

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Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood. The data collection included interviews, focus groups, vehicle field observation and counts, and traffic simulation modeling. The traffic simulation examined scenarios where businesses converted different percentages of current deliveries to cargo cycles using a transfer hub as the starting point for their cargo cycle delivery. The best-case scenario—where the maximum percentage of deliveries were made with cargo cycle instead of motorized vehicles—resulted in reductions of 2600 vehicle miles traveled (VMT) per day. In that case scenario, the vehicle miles traveled (VMT) reduction is equivalent to a reduction in emissions of PM2.5, PM10, NOx, and reactive organic gas (ROG) of taking about 1000 Class 4 box trucks off the roads of West Oakland per day. In the worst-case scenario, with a significantly smaller percentage of motorized package deliveries converted to cargo cycles, there is a reduction of 160 VMT, equivalent to the removal of approximately 80 Class 4 box trucks off the roads of West Oakland per day. This potential reduction in air pollution and traffic congestion, as well as job creation, would benefit West Oakland residents.
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Das, Jishnu, Joanna Härmä, Lant Pritchett, and Jason Silberstein. Forum: Why and How the Public vs. Private Schooling Debate Needs to Change. Research on Improving Systems of Education (RISE), 2023. http://dx.doi.org/10.35489/bsg-rise-misc_2023/12.

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“Are private schools better than public schools?” This ubiquitous debate in low- and middle-income countries is the wrong one to have. The foreword and three essays collected in this Forum each explore how to move past the stuck “public vs. private” binary. Jason Silberstein is a Research Fellow at RISE. His foreword is titled “A Shift in Perspective: Zooming Out from School Type and Bringing Neighborhood Education Systems into Focus.” It summarizes the current state of the “public vs. private” debate, outlines an alternative approach focused on neighborhood education systems, and then synthesizes key findings from the other essays. Jishnu Das has conducted decades of research on school systems in low-income countries, including in Zambia, India, and Pakistan. His essay is titled “The Emergence and Consequence of Schooling Markets.” It describes exactly what schooling markets look like in Pakistan, including the incredible variance in school quality in both public and private schools within the same village. Das then reviews the evidence on how to engineer local education markets to improve learning in all schools, including polices that have underdelivered (e.g., vouchers) and more promising policies (e.g., finance and information structured to take advantage of inter-school competition, and a focus on the lowest performing public schools). Das’ research on Pakistan is available through leaps.hks.harvard.edu, which also houses the data and documentation for the project. Lant Pritchett writes from a global lens grounded in his work on systems thinking in education. His essay is titled “Schooling Ain’t Just Learning: Controlling the Means of Producing Citizens.” It observes that governments supply, and families demand, education for many reasons. The academic emphasis on one of these reasons, producing student learning, has underweighted the critical importance of other features of education, in particular the socialization function of schooling, which more persuasively explain patterns of provision of both public school and different kinds of private schools. With this key fact in mind, Pritchett argues that there is a strong liberty case for allowing private schools, but that calls for governments to fund them are either uncompelling or “aggressively missing the point”. Joanna Härmä has done mixed-methods research on private schools across many cities and rural areas in sub-Saharan Africa and India, and has also founded a heavily-subsidized private school in Uttar Pradesh, India. Her essay responds to both Das and Pritchett and is titled “Why We Need to Stop Worrying About People’s Coping Mechanism for the ‘Global Learning Crisis’—Their Preference for Low-Fee Private Schools”. It outlines the different forces behind the rise of low-fee private schools and asserts that both the international development sector and governments have failed to usefully respond. Policy toward these private schools is sometimes overzealous, as seen in regulatory regimes that in practice are mostly used to extract bribes, and at other times overly solicitous, as seen in government subsidies that would usually be better spent improving the worst government schools. Perhaps, Härmä concludes, “we should leave well enough alone.”
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La Jeunesse, Elizabeth A., and Christopher H. Wheeler. Neighborhood Income Inequality. Federal Reserve Bank of St. Louis, 2006. http://dx.doi.org/10.20955/wp.2006.039.

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Wall, Maria. Solar Neighborhood Planning. IEA SHC Task 63, 2024. http://dx.doi.org/10.18777/ieashc-task63-2024-0005.

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This position paper provides an overview of solar strategies for neighborhood planning, outlining their importance, potential, and development. It addresses issues for policy and decision makers, other stakeholders, and influencers and presents high-level information as a basis for the uptake and further development of this application. It concludes by highlighting existing challenges and the actions needed to best utilize solar radiation in urban environments.
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Cowan, Susanne, Sarah Church, Brennan Radulski, et al. Investigating Neighborhood Character in the Northeast Neighborhood of Bozeman, MT. Montana State University School of Architecture, 2022. http://dx.doi.org/10.15788/202209.

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This study examines the changes occurring in the built environment and in the social character of the Northeast neighborhood of Bozeman. This project was initiated at the request of the Northeast Neighborhood Association (NENA) whose members are concerned that growth is negatively impacting the unique character, affordability, and informal social interactions of their neighborhood. Working with the city of Bozeman and NENA, this project aims to document the existing character of the neighborhood and social, economic, and architectural changes as perceived by residents who participated in this research. Between Spring 2020 and Summer 2022, faculty and students from three MSU departments conducted and analyzed a physical inventory of the built environment, a survey, the PhotoVoicesNE report, and interviews of residents. The data collected here may be used by the city of Bozeman and NENA to develop neighborhood planning tools.
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Bedoya-Maya, Felipe, Lynn Scholl, Orlando Sabogal-Cardona, and Daniel Oviedo. Who uses Transport Network Companies?: Characterization of Demand and its Relationship with Public Transit in Medellín. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003621.

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Transport Network Companies (TNCs) have become a popular alternative for mobility due to their ability to provide on-demand flexible mobility services. By offering smartphone-based, ride-hailing services capable of satisfying specific travel needs, these modes have transformed urban mobility worldwide. However, to-date, few studies have examined the impacts in the Latin American context. This analysis is a critical first step in developing policies to promote efficient and sustainable transport systems in the Latin-American region. This research examines the factors affecting the adoption of on-demand ride services in Medellín, Colombia. It also explores whether these are substituting or competing with public transit. First, it provides a descriptive analysis in which we relate the usage of platform-based services with neighborhood characteristics, socioeconomic information of individuals and families, and trip-level details. Next, factors contributing to the election of platform-based services modeled using discrete choice models. The results show that wealthy and highly educated families with low vehicle availability are more likely to use TNCs compared to other groups in Medellín. Evidence also points at gender effects, with being female significantly increasing the probability of using a TNC service. Finally, we observe both transit complementary and substitution patterns of use, depending on the context and by whom the service is requested.
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Robinson, Alexander, and Myvonwynn Hopton. Elmer Avenue Neighborhood Retrofit. Landscape Architecture Foundation, 2011. http://dx.doi.org/10.31353/cs0150.

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Land, Laurel. Neighborhood Intermodal Transfer Facilities. University of South Florida, 2001. http://dx.doi.org/10.5038/cutr-nctr-rr-2000-08.

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