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1

Vijaya Saradhi, T., K. Subrahmanyam, and Ch V. Phani Krishna. "Computing Subspace Skylines without Dominance Tests Using Set Interaction Approaches." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 5 (2015): 1188. http://dx.doi.org/10.11591/ijece.v5i5.pp1188-1193.

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Now a day’s preference answering plays major role in all crucial applications. If user wants to find top k–objects from a set of high dimensional data based on any monotonic function requires huge computation. One of the promising methods to compute preference set is <em>Skyline Technology.</em> Sky line computation returns the set objects that are not overruled by any other objects in n a multi dimensional space. If data is high dimensional, different users requests sky line set based on different dimensions. It requires subspace skyline computation. If objects are d-dimensional w
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Sessions, John, Kevin Lyons, and Jeff Wimer. "Maximizing the Standing Skyline Log Load Using a Variable Length Tagline." Forests 12, no. 7 (2021): 927. http://dx.doi.org/10.3390/f12070927.

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The standing skyline continues to be a common cable logging configuration. In payload analysis it is usually assumed that the tagline (line connecting the logs to the carriage) length is held constant while yarding a turn up the skyline corridor. We show this assumption severely limits the skyline load-carrying capacity for skylines operating with partial suspension. We suggest that smart carriage technology could markedly increase the log load capacity through the use of a variable length tagline, and thus logging productivity. A methodology for estimating the log load capacity for a standing
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Martinenghi, Davide. "Parallelizing the Computation of Grid Resistance to Measure the Strength of Skyline Tuples." Algorithms 18, no. 1 (2025): 29. https://doi.org/10.3390/a18010029.

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Several indicators have been recently proposed for the measurement of various characteristics of the tuples of a dataset—particularly the so-called skyline tuples, i.e., those that are not dominated by other tuples. Numeric indicators are very important as they may, e.g., provide an additional criterion to be used to rank skyline tuples and focus on a subset thereof. We focus on an indicator of robustness that may be measured for any skyline tuple t: the grid resistance, i.e., how large-value perturbations can be tolerated for t to remain non-dominated (and thus in the skyline). The computatio
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Maslovskaya, Oksana, and Grigoriy Ignatov. "Conceptions of Height and Verticality in the History of Skyscrapers and Skylines." E3S Web of Conferences 33 (2018): 01005. http://dx.doi.org/10.1051/e3sconf/20183301005.

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The main goal of this article is to reveal the significance of height and verticality history of skyscrapers and skylines. The objectives are as follows: 1. trace the origin of design concepts related to skyscraper; 2. discuss the perceived experience of the cultural aspects of skyscrapers and skylines; 3. describe the differences and similarities of the profiles of with comparable skylines. The methodology of study is designed to explore the perceived theory and principals of skyscraper and skyline development phenomenon and its key features. The skyscraper reveals an assertive creative form
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Cooper, Jon. "Fractal assessment of street-level skylines: a possible means of assessing and comparing character." Urban Morphology 7, no. 2 (2003): 73–82. http://dx.doi.org/10.51347/jum.v7i2.3905.

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Fractal analysis and the calculation of fractal dimension offers the potential for the numerical characterization of places by providing a synthetic measurement of place complexity. This paper provides a fractal analysis of street-scale urban skylines, linking the calculation of fractal dimension to the presence of the physical features making up a skyline. A technique for calculating skyline fractal dimensions is presented and suggestions are made about the use of fractal analysis in comparing the character of places.
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Mologni, Omar, Luca Marchi, Kevin C. Lyons, Stefano Grigolato, Raffaele Cavalli, and Dominik Röser. "Skyline Tensile Forces in Cable Logging." Croatian journal of forest engineering 42, no. 2 (2021): 227–43. http://dx.doi.org/10.5552/crojfe.2021.722.

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Skyline tensile forces have been shown to frequently exceed the recommended safety limits during ordinary cable logging operations. Several models for skyline engineering analyses have been proposed. Although skyline tensile forces assume a dynamic behaviour, practical solutions are based on a static approach without consideration of the dynamic nature of the cable systems.The aim of this study was to compare field data of skyline tensile forces with the static calculations derived by dedicated available software such as SkylineXL. To overcome the limitation of static calculation, this work al
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Dong, Lei Gang, and Xiao Wei Cui. "Finding k-Dominant Skyline for Combined Dataset." Applied Mechanics and Materials 568-570 (June 2014): 1534–38. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1534.

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The k-dominant skyline query which can return small result set in high dimensional space is very convenient for user to make decision. But all the existent algorithms are for single dataset, not suitable for two or more datasets being combined. To solve this problem, this paper proposed a new idea to get the newk-dominant skyline by computing the partial points of each dataset based on their existentk-dominant skylines. Furthermore, detailed theoretical analyses and extensive experiments demonstrate that the algorithms can effectively reduce redundant work, and keep the result correctly.
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Hıçsönmezler, İlke, Arzu Cilasun Kunduraci, and Ahenk Yilmaz. "To Look or Not To Look: Reading User Behavior in the Spatial Atmosphere of the City Skyline of Izmir." Environment, Space, Place 16, no. 1 (2024): 51–82. https://doi.org/10.1353/spc.2024.a951610.

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Abstract: This study focuses on the effects of spatial qualities of the viewing location on the behavior of citizens towards the observation of the skylines. The majority of the existing literature on skyline studies revolves around the discussions of the aesthetic qualities of the skyline per se, and ignores the observation space. Nevertheless, the differences in citizens' behavior towards viewing the skyline stem not only from their diverse personal characteristics and daily emotional states, but also from the spatial qualities of the viewing space. This study addresses this gap in the liter
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Zhang, Jian, Yi Wang, Xi Luo, and Wen-Lei Luan. "Multi-Viewpoint Assessment of Urban Waterfront Skylines: Fractal and Spatial Hierarchy Analysis in Shanghai." Buildings 15, no. 9 (2025): 1407. https://doi.org/10.3390/buildings15091407.

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With the global trend of waterfront urban expansion, nonlinear urban growth has generated skyline patterns marked by multidimensional spatial heterogeneity. Traditional single-viewpoint methods often fall short in capturing the layered spatial relationships among buildings and the complexity of multi-axis urban forms. This study focuses on the Lujiazui waterfront in Shanghai and proposes a multi-viewpoint assessment framework to evaluate urban waterfront skylines based on fractal and spatial hierarchy analysis. The framework consists of: (1) selecting eight representative viewpoints along the
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10

Alvarez, Ignacio, and Laura Rumbel. "Skyline." International Journal of Mobile Human Computer Interaction 9, no. 3 (2017): 34–53. http://dx.doi.org/10.4018/ijmhci.2017070103.

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This paper describes the research and development process of an in-vehicle user experience using Skyline, an automotive prototyping platform created in Intel Labs to empower interaction designers and user experience researches to rapidly and iteratively develop and test in-vehicle user experience concepts. The paper describes the hardware and software components of Skyline in depth and how to configure them to suit individual researcher needs. The paper also presents a case study to exemplify the design making process that Skyline enables. From ideation to use-case creation, prototyping and va
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Battulga, Lkhagvadorj, and Aziz Nasridinov. "Hierarchical Clustering Approach for Selecting Representative Skylines." Information 10, no. 3 (2019): 96. http://dx.doi.org/10.3390/info10030096.

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Recently, the skyline query has attracted interest in a wide range of applications from recommendation systems to computer networks. The skyline query is useful to obtain the dominant data points from the given dataset. In the low-dimensional dataset, the skyline query may return a small number of skyline points. However, as the dimensionality of the dataset increases, the number of skyline points also increases. In other words, depending on the data distribution and dimensionality, most of the data points may become skyline points. With the emergence of big data applications, where the data d
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Dong, Leigang, Guohua Liu, Xiaowei Cui, and Quan Yu. "Efficiently computing Pareto optimal G-skyline query in wireless sensor network." International Journal of Distributed Sensor Networks 17, no. 12 (2021): 155014772110606. http://dx.doi.org/10.1177/15501477211060673.

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There are much data transmitted from sensors in wireless sensor network. How to mine vital information from these large amount of data is very important for decision-making. Aiming at mining more interesting information for users, the skyline technology has attracted more attention due to its widespread use for multi-criteria decision-making. The point which is not dominated by any other points can be called skyline point. The skyline consists of all these points which are candidates for users. However, traditional skyline which consists of individual points is not suitable for combinations. T
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Xin, Junchang, Zhiqiong Wang, Mei Bai, and Guoren Wang. "Reverse Skyline Computation over Sliding Windows." Mathematical Problems in Engineering 2015 (2015): 1–19. http://dx.doi.org/10.1155/2015/649271.

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Reverse skyline queries have been used in many real-world applications such as business planning, market analysis, and environmental monitoring. In this paper, we investigated how to efficiently evaluate continuous reverse skyline queries over sliding windows. We first theoretically analyzed the inherent properties of reverse skyline on data streams and proposed a novel pruning technique to reduce the number of data points preserved for processing continuous reverse skyline queries. Then, an efficient approach, called Semidominance Based Reverse Skyline (SDRS), was proposed to process continuo
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Barr, Vilma. "Skyline Statement." Lighting Design + Application 38, no. 2 (2008): 54–58. https://doi.org/10.1177/036063250803800213.

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Hose, Katja. "Skyline Queries." Datenbank-Spektrum 16, no. 3 (2016): 247–51. http://dx.doi.org/10.1007/s13222-016-0229-2.

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Chen, Yi-Chung, and Chiang Lee. "Neural skyline filter for accelerating skyline search algorithms." Expert Systems 32, no. 1 (2014): 108–31. http://dx.doi.org/10.1111/exsy.12065.

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Liu, Jinfei, Juncheng Yang, Li Xiong, et al. "Skyline Diagram: Efficient Space Partitioning for Skyline Queries." IEEE Transactions on Knowledge and Data Engineering 33, no. 1 (2021): 271–86. http://dx.doi.org/10.1109/tkde.2019.2923914.

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Lee, Jongwuk, Jinhan Kim, and Seung-won Hwang. "Supporting efficient distributed skyline computation using skyline views." Information Sciences 194 (July 2012): 24–37. http://dx.doi.org/10.1016/j.ins.2011.10.009.

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Kalyvas, Christos, and Manolis Maragoudakis. "Skyline and reverse skyline query processing in SpatialHadoop." Data & Knowledge Engineering 122 (July 2019): 55–80. http://dx.doi.org/10.1016/j.datak.2019.04.004.

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Zhao, Xun, Yanhong Wu, Weiwei Cui, et al. "SkyLens: Visual Analysis of Skyline on Multi-Dimensional Data." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (2018): 246–55. http://dx.doi.org/10.1109/tvcg.2017.2744738.

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Goncalves, Marlene, and Maria-Esther Vidal. "Efficiently Producing the K Nearest Neighbors in the Skyline on Vertically Partitioned Tables." International Journal of Information Retrieval Research 3, no. 2 (2013): 58–77. http://dx.doi.org/10.4018/ijirr.2013040104.

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Criteria that induce a Skyline naturally represent user's preference conditions useful to discard irrelevant data in large datasets. However, in the presence of high-dimensional Skyline spaces, the size of the Skyline can still be very large, making unfeasible for users to process this set of points. To identify the best points among the Skyline, the Top-k Skyline approach has been proposed. Top-k Skyline uses discriminatory criteria to induce a total order of the points that comprise the Skyline, and recognizes the best or top-k points based on these criteria. In this article the authors mode
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Liu, Yongshan, Tianbao Hao, Xiang Gong, Dehan Kong, and Jianjun Wang. "Skyline-Like Query in Three-Dimensional Obstacle Space." Scientific Programming 2022 (May 11, 2022): 1–13. http://dx.doi.org/10.1155/2022/3978601.

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Skyline query, as a query method to solve typical multiobjective optimization problems, has a wide range of applications in market analysis and data mining. Many scholars’ attention has been attracted since it was proposed. However, the correct result set cannot be obtained easily by traditional skyline query when nonspatial and spatial attributes of the data set need to be considered at the same time, and there are differences in the importance of each attribute. To solve this problem, a skyline-like query was proposed in three-dimensional obstacle space based on the traditional skyline query
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Lougmiri, Zekri. "A New Progressive Method for Computing Skyline Queries." Journal of Information Technology Research 10, no. 3 (2017): 1–21. http://dx.doi.org/10.4018/jitr.2017070101.

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Skyline queries are important in many fields, especially for decision making. In this context, objects or tuples of databases are defined according to some numerical and non numerical attributes. The skyline operator acts on the numerical ones. The algorithms that implements this skyline operator are genrally of progressive or non progressive. The progressive ones return the skyline operator during its execution while non preogressive alogrithms return the result at the end of its execution. This paper presents a new progressive algorithm for computing the skyline points. This algorithm is bas
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Xin, Junchang, Zhiqiong Wang, Mei Bai, Linlin Ding та Guoren Wang. "Energy-Efficientβ-Approximate Skylines Processing in Wireless Sensor Networks". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/149513.

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As the first priority of query processing in wireless sensor networks is to save the limited energy of sensor nodes and in many sensing applications a part of skyline result is enough for the user’s requirement, calculating the exact skyline is not energy-efficient relatively. Therefore, a new approximate skyline query,β-approximate skyline query which is limited by a guaranteed error bound, is proposed in this paper. With an objective to reduce the communication cost in evaluatingβ-approximate skyline queries, we also propose an energy-efficient processing algorithm using mapping and filterin
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Endres, Markus, and Werner Kießling. "Parallel Skyline Computation Exploiting the Lattice Structure." Journal of Database Management 26, no. 4 (2015): 18–43. http://dx.doi.org/10.4018/jdm.2015100102.

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The problem of Skyline computation has attracted considerable research attention in the last decade. A Skyline query selects those tuples from a dataset that are optimal with respect to a set of designated preference attributes. Since multicore processors are going mainstream, it has become imperative to develop parallel algorithms, which fully exploit the advantages of such modern hardware architectures. In this paper, the authors present high-performance parallel Skyline algorithms based on the lattice structure generated by a Skyline query. For this, they propose different evaluation strate
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Ahmed, Saleh, Mahboob Qaosar, Asif Zaman, et al. "Privacy-Aware MapReduce Based Multi-Party Secure Skyline Computation." Information 10, no. 6 (2019): 207. http://dx.doi.org/10.3390/info10060207.

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Selecting representative objects from a large-scale dataset is an important task for understanding the dataset. Skyline is a popular technique for selecting representative objects from a large dataset. It is obvious that the skyline computation from the collective databases of multiple organizations is more effective than the skyline computed from a database of a single organization. However, due to privacy-awareness, every organization is also concerned about the security and privacy of their data. In this regards, we propose an efficient multi-party secure skyline computation method that com
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Ke, Senfu, Xiaodong Fu, and Jie Li. "Efficient skyline query processing with user-specified conditional preference." PeerJ Computer Science 11 (January 29, 2025): e2659. https://doi.org/10.7717/peerj-cs.2659.

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In the realm of multi-attribute decision-making, the utilization of skyline queries has gained increasing popularity for assisting users in identifying objects with optimal attribute combinations. With the growing demand for personalization, integrating user’s preferences into skyline queries has emerged as an intriguing and promising research direction. However, the diverse expressions of preferences pose challenges to existing personalized skyline queries. Current methods assume that user preferences are too simplistic and do not represent the interdependencies between attributes. This poses
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Liu, Xingjie, De-Nian Yang, Mao Ye, and Wang-Chien Lee. "U-Skyline: A New Skyline Query for Uncertain Databases." IEEE Transactions on Knowledge and Data Engineering 25, no. 4 (2013): 945–60. http://dx.doi.org/10.1109/tkde.2012.33.

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Sharma, Vagisha, Josh Eckels, Birgit Schilling, et al. "Panorama Public: A Public Repository for Quantitative Data Sets Processed in Skyline." Molecular & Cellular Proteomics 17, no. 6 (2018): 1239–44. http://dx.doi.org/10.1074/mcp.ra117.000543.

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To address the growing need for a centralized, community resource of published results processed with Skyline, and to provide reviewers and readers immediate visual access to the data behind published conclusions, we present Panorama Public (https://panoramaweb.org/public.url), a repository of Skyline documents supporting published results. Panorama Public is built on Panorama, an open source data management system for mass spectrometry data processed with the Skyline targeted mass spectrometry environment. The Panorama web application facilitates viewing, sharing, and disseminating results co
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Guo, Fan, Yuxiang Mai, Jin Tang, Yu Huang, and Lijun Zhu. "Robust and Automatic Skyline Detection Algorithm Based on MSSDN." Journal of Advanced Computational Intelligence and Intelligent Informatics 24, no. 6 (2020): 750–62. http://dx.doi.org/10.20965/jaciii.2020.p0750.

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Automatic detection of the skyline plays an important role in several applications, such as visual geo-localization, flight control, port security, and mountain peak recognition. Existing skyline detection methods are mostly used under common weather conditions; however, they do not consider bad weather situations, such as rain, which limits their application in real scenes. In this paper, we propose a multi-stream-stage DenseNet to detect skyline automatically under different weather conditions. This model fully considers the adverse factors influencing the skyline and outputs a probability g
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De Lorenzis, Emilio, and Davide Martinenghi. "Partitioning Strategies for Parallel Computation of Flexible Skylines." Algorithms 18, no. 3 (2025): 141. https://doi.org/10.3390/a18030141.

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While classical skyline queries identify interesting data within large datasets, flexible skylines introduce preferences through constraints on attribute weights, and further reduce the data returned. However, computing these queries can be time-consuming for large datasets. We propose and implement a parallel computation scheme consisting of a parallel phase followed by a sequential phase, and apply it to flexible skylines. We assess the additional effect of an initial filtering phase to reduce dataset size before parallel processing, and the elimination of the sequential part (the most time-
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Zhang, Le, Mengru Zhang, Mingxia Yuan, and Yanlong Guo. "A Study on the Regional Evolution of the Hefei Political and Cultural New District Skyline Based on Exploratory Factor Analysis and Semantic Segmentation." Buildings 14, no. 5 (2024): 1238. http://dx.doi.org/10.3390/buildings14051238.

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The general population’s assessment and perception of a city can be influenced by its skyline, which is one of its representatives. This paper uses semantic segmentation and exploratory factor analysis to conduct a study from two different perspectives, aiming to analyse the development and current situation of the skyline of Hefei’s political and cultural new district. By collecting pictures of the skyline of the New Administrative and Cultural District, the New Administrative and Cultural District of Hefei’s skyline is being studied for overall changes using the semantic segmentation method,
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Sukhwani, Nitesh, Venkateswara Rao Kagita, Vikas Kumar, and Sanjaya Kumar Panda. "Efficient Computation of Top-K Skyline Objects in Data Set With Uncertain Preferences." International Journal of Data Warehousing and Mining 17, no. 3 (2021): 68–80. http://dx.doi.org/10.4018/ijdwm.2021070104.

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Skyline recommendation with uncertain preferences has drawn AI researchers' attention in recent years due to its wide range of applications. The naive approach of skyline recommendation computes the skyline probability of all objects and ranks them accordingly. However, in many applications, the interest is in determining top-k objects rather than their ranking. The most efficient algorithm to determine an object's skyline probability employs the concepts of zero-contributing set and prefix-based k-level absorption. The authors show that the performance of these methods highly depends on the a
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Pan, Zhibin, Jin Tang, Tardi Tjahjadi, Xiaoming Xiao, and Zhihu Wu. "Camera Geolocation Using Digital Elevation Models in Hilly Area." Applied Sciences 10, no. 19 (2020): 6661. http://dx.doi.org/10.3390/app10196661.

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The geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly areas and propose a new geolocation method. According to the vegetation in hilly area, two new skyline features, enhanced angle chain code and lapel point, are proposed. In order to deal with the skyline being close to the camera, we also propose a matching method which incorporates skyline distance heatmap and skyline pyramid. The experimental
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NAZAROVA, A. Yu. "THEORETICAL ASPECTS OF RESEARCH AND PRESERVATION OF HISTORIC CITY SKYLINE." Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture, no. 3 (June 27, 2019): 77–85. http://dx.doi.org/10.31675/1607-1859-2019-21-3-77-85.

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The paper considers general issues of the study and preservation of the historic city skyline in the context of the research experience analysis. The term city skyline is defined by factual information, its structural components, both tangible and intangible, and specific characteristics of the skyline visual perception are described. The analysis of the current legislation in relation to the protection of the historical environment shows the perspectives of the historical settlements in terms of the skyline preservation, the environmental characteristics of the historic city. In order to deve
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S.Saravanapriya, 1. Dr.V.Thiagarasu 2. "A SURVEY ON SKYLINE COMPUTING FOR UNCERTAIN DATABASE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 35–39. https://doi.org/10.5281/zenodo.884146.

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Skyline filters out hard and fast of thrilling points from a probably large set of statistics points. A point is thrilling if it is not dominated by using explicit. The skyline queries are vital on the way to assist users to deal with the large amount of available records through figuring out a fixed of interesting records items. Skyline computation is extensively used in multi-standards decision making. This paper conducts a survey on research issues on computing skyline for uncertain databases, with the view of providing interested researchers with an overview of the most recent research dir
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Kang, Hyunchul. "In-Network Processing of Skyline Join Queries in Wireless Sensor Networks Using Synopses of Skyline Attribute Value Ranges." Sensors 23, no. 6 (2023): 3022. http://dx.doi.org/10.3390/s23063022.

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We investigate the in-network processing of a skyline join query in wireless sensor networks (WSNs). While much research was conducted on processing skyline queries in WSNs, skyline join queries were dealt with only in traditional centralized or distributed database environments. However, such techniques cannot be applied to WSNs. Carrying out join filtering, as well as skyline filtering using them in WSNs, is infeasible due to limited memory in senor nodes and to excessive energy consumption in wireless communications. In this paper, we propose a protocol to process a skyline join query in WS
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Choi, Jong-Hyeok, Fei Hao, and Aziz Nasridinov. "HI-Sky: Hash Index-Based Skyline Query Processing." Applied Sciences 10, no. 5 (2020): 1708. http://dx.doi.org/10.3390/app10051708.

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The skyline query has recently attracted a considerable amount of research interest in several fields. The query conducts computations using the domination test, where “domination” means that a data point does not have a worse value than others in any dimension, and has a better value in at least one dimension. Therefore, the skyline query can be used to construct efficient queries based on data from a variety of fields. However, when the number of dimensions or the amount of data increases, naïve skyline queries lead to a degradation in overall performance owing to the higher cost of comparis
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Liu, Jia, Wei Chen, Ziyang Chen, et al. "Optimized Query Algorithms for Top- K Group Skyline." Wireless Communications and Mobile Computing 2022 (January 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/3404906.

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Skyline query is a typical multiobjective query and optimization problem, which aims to find out the information that all users may be interested in a multidimensional data set. Multiobjective optimization has been applied in many scientific fields, including engineering, economy, and logistics. It is necessary to make the optimal decision when two or more conflicting objectives are weighed. For example, maximize the service area without changing the number of express points, and in the existing business district distribution, find out the area or target point set whose target attribute is mos
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Liu, Zezheng, Yifu Zeng, Siyuan He, and Yantao Zhou. "An Adaptive Parallel PI-Skyline Query for Probabilistic and Incomplete Database." International Journal of Computational Methods 17, no. 07 (2019): 1950036. http://dx.doi.org/10.1142/s0219876219500361.

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In the context of large quantities of information, the skyline query is a particularly useful tool for data mining and decision-making. However, the massive amounts of information on the Internet are frequently incomplete and uncertain due to data randomness, transmission errors, and many other reasons. Therefore, an efficient skyline query algorithm over an incomplete uncertain database is imperative. To address this issue, this paper proposes an efficient algorithm to apply skyline query on probabilistic incomplete data. The algorithm is based on U-Skyline model to avoid disadvantages of tra
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WEI, Xiao-Juan. "Skyline Query Processing." Journal of Software 19, no. 6 (2008): 1386–400. http://dx.doi.org/10.3724/sp.j.1001.2008.01386.

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Gassner, Günter. "Wrecking London’s skyline?" City 21, no. 6 (2017): 754–68. http://dx.doi.org/10.1080/13604813.2017.1408994.

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Shields, Jim. "Review: SKYLINE TECHNOLOGY." Simulation & Gaming 36, no. 4 (2005): 531–35. http://dx.doi.org/10.1177/1046878105282108.

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Lloyd, Richard. "East Nashville skyline." Ethnography 12, no. 1 (2011): 114–45. http://dx.doi.org/10.1177/1466138110387219.

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This article examines a familiar urban dynamic — gentrification — in the less familiar setting of Nashville, Tennessee. In recent years, gentrification processes are accompanied by legitimating appeals to civic design trends and new cultural dynamics, particularly those associated with the New Urbanism and the promotion of ‘‘creative’’ city environments nurturing educated and culturally savvy residents. These discourses have increasingly come to define contemporary ‘‘progressive’’ urban policy, promoting values of diversity and cosmopolitanism while eliding standard concerns over displacement
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Hebbert, Michael. "The Manchester Skyline." disP - The Planning Review 55, no. 4 (2019): 6–13. http://dx.doi.org/10.1080/02513625.2019.1708058.

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Mollé, Geoffrey. "Skyline : horizon sanitaire ?" Géographie et cultures 123 (2024): 93–113. https://doi.org/10.4000/12ywl.

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Le projet moderniste s’appuyait sur une éthique hygiéniste : fournir aération et ensoleillement pour tous les logements. Aujourd’hui, les stratégies d’urbanisme sont plus sélectives. Le phénomène de densification et d’étalement urbain contraint les lieux de reproduction du capital dans les zones métropolitaines. Les tours résidentielles sont revalorisées, ainsi que l’accès au skyline depuis l’espace domestique. Une question des années 1960 est réactualisée : est-il plus sain d’habiter en hauteur dans l’habitat collectif ? Cet article cherche à y répondre à partir d’une enquête de terrain menée
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Zhang, Nan, Chengkai Li, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. "On Skyline Groups." IEEE Transactions on Knowledge and Data Engineering 26, no. 4 (2014): 942–56. http://dx.doi.org/10.1109/tkde.2013.119.

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Im, Hyeonseung, and Sungwoo Park. "Group skyline computation." Information Sciences 188 (April 2012): 151–69. http://dx.doi.org/10.1016/j.ins.2011.11.014.

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Lee, Jongwuk, Gae-won You, Seung-won Hwang, Joachim Selke, and Wolf-Tilo Balke. "Interactive skyline queries." Information Sciences 211 (November 2012): 18–35. http://dx.doi.org/10.1016/j.ins.2012.04.007.

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Holdsworth, Deryck W. "THE INVISIBLE SKYLINE." Antipode 26, no. 2 (1994): 141–46. http://dx.doi.org/10.1111/j.1467-8330.1994.tb00242.x.

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