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Journal articles on the topic 'Building Partitioning'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Alexis, Kyriacou, Timotheou Stelios, Michaelides Michalis, Panayiotou Christos, and Polycarpou Marios. "Partitioning of Intelligent Buildings for Distributed Contaminant Detection and Isolation." IEEE Transactions on Emerging Topics in Computational Intelligence 1, no. 2 (2017): 72–86. https://doi.org/10.5281/zenodo.1012286.

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Intelligent buildings are responsible for ensuring indoor air quality for their occupants under normal operation as well as under possibly harmful contaminant events. An emerging environmental application involves the monitoring of intelligent buildings against harmful events by incorporating various sensing technologies and using sophisticated algorithms to detect and isolate such events. In this context, both centralized and distributed approaches have been proposed, with the latter having significant benefits in terms of complexity, scalability, reliabilit

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2

Xiong, B., S. Oude Elberink, and G. Vosselman. "FOOTPRINT MAP PARTITIONING USING AIRBORNE LASER SCANNING DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 241–47. http://dx.doi.org/10.5194/isprsannals-iii-3-241-2016.

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Nowadays many cities and countries are creating their 3D building models for a better daily management and smarter decision making. The newly created 3D models are required to be consistent with existing 2D footprint maps. Thereby the 2D maps are usually combined with height data for the task of 3D reconstruction. Many buildings are often composed by parts that are discontinuous over height. Building parts can be reconstructed independently and combined into a complete building. Therefore, most of the state-of-the-art work on 3D building reconstruction first decomposes a footprint map into par

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Xiong, B., S. Oude Elberink, and G. Vosselman. "FOOTPRINT MAP PARTITIONING USING AIRBORNE LASER SCANNING DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 241–47. http://dx.doi.org/10.5194/isprs-annals-iii-3-241-2016.

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Nowadays many cities and countries are creating their 3D building models for a better daily management and smarter decision making. The newly created 3D models are required to be consistent with existing 2D footprint maps. Thereby the 2D maps are usually combined with height data for the task of 3D reconstruction. Many buildings are often composed by parts that are discontinuous over height. Building parts can be reconstructed independently and combined into a complete building. Therefore, most of the state-of-the-art work on 3D building reconstruction first decomposes a footprint map into par

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4

Dagli, Ates, Niall McCarroll, and Dmitry Vasilenko. "Data Partitioning for Ensemble Model Building." International Journal on Cloud Computing: Services and Architecture 7, no. 3/4 (2017): 1–7. http://dx.doi.org/10.5121/ijccsa.2017.7401.

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Ates, Dagli1 Niall McCarroll2 and Dmitry Vasilenko3. "DATA PARTITIONING FOR ENSEMBLE MODEL BUILDING." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 7, August (2018): 01–07. https://doi.org/10.5281/zenodo.1464728.

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In distributed ensemble model-building algorithms, the performance and statistical validity of models are dependent on sizes of the input data partitions as well as the distribution of records among the partitions. Failure to correctly select and pre-process the data often results in the models which are not stable and do not perform well. This article introduces an optimized approach to building the ensemble models for very large data sets in distributed map-reduce environments using Pass-Stream-Merge (PSM) algorithm. To ensure the model correctness the input data is randomly distributed usin

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Chong, Stephen, Jed Liu, Andrew C. Myers, et al. "Building secure web applications with automatic partitioning." Communications of the ACM 52, no. 2 (2009): 79–87. http://dx.doi.org/10.1145/1461928.1461949.

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7

Sugihara, Kenichi, and Yoshitugu Hayashi. "Generalized Building Polygon Partitioning for Automatic Generation of 3-D Building Models." journal of Civil Engineering Information Processing System 15 (2006): 67–74. http://dx.doi.org/10.2208/journalac2003.15.0_67.

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Sugihara, Kenichi, and Yoshitugu Hayashi. "Generalized Building Polygon Partitioning for Automatic Generation of 3-D Building Models." journal of Civil Engineering Information Processing System 16 (2007): 309–14. http://dx.doi.org/10.2208/journalac2003.16.0_309.

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Yassaghi, Hamed, Nariman Mostafavi, Jin Wen, and Simi Hoque. "Partitioning Climate, Users, and Thermophysical Uncertainties from Building Energy Use: A Monte Carlo & ANOVA Approach." Buildings 12, no. 2 (2022): 95. http://dx.doi.org/10.3390/buildings12020095.

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Buildings are subject to many uncertainties ranging from thermophysical performance to user activity. Climate change is an additional source of uncertainty that complicates building performance evaluation. This study aims to quantify the share of uncertainties stemming from building factors, user behavior, and climate uncertainty from boilers, chillers, fans, pumps, total HVAC systems, and total site energy use. A novel method combining Monte Carlo analysis and ANOVA is proposed to partition uncertainties from building energy simulation results under different climate change scenarios. The Mon

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Li, Taojun, Xiaohui Huang, Hao Guo, and Tingting Hong. "Contribution and Marginal Effects of Landscape Patterns on Thermal Environment: A Study Based on the BRT Model." Buildings 14, no. 8 (2024): 2388. http://dx.doi.org/10.3390/buildings14082388.

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Urban landscape patterns significantly impact land surface temperature (LST) and the urban heat island (UHI) effect. This study employs the boosted regression tree (BRT) model and variance partitioning analysis to examine the contributions and relationships of two-dimensional and three-dimensional building and vegetation patterns to LST, and their marginal effects at different heights. The results show that the dominant indicators affecting LST differ between buildings and vegetation, with three-dimensional building features being slightly more important than two-dimensional features (percenta

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11

Ashok, Sreeja, and M. V. Judy. "A novel iterative partitioning approach for building prime clusters." International Journal of Advanced Intelligence Paradigms 7, no. 3/4 (2015): 313. http://dx.doi.org/10.1504/ijaip.2015.073712.

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12

Fafard, Alexander, Jan van Aardt, Mark Coletti, and David L. Page. "Global Partitioning Elevation Normalization Applied to Building Footprint Prediction." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 3493–502. http://dx.doi.org/10.1109/jstars.2020.3002502.

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Cooper, Rodney. "Fenzi‐Geometrica — new partitioning system from Ward Building Systems." Facilities 5, no. 9 (1987): 4–5. http://dx.doi.org/10.1108/eb006416.

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14

Lee, Ahyun. "Geometry and Topology Correction of 3D Building Models with Fragmented and Disconnected Components." ISPRS International Journal of Geo-Information 14, no. 5 (2025): 198. https://doi.org/10.3390/ijgi14050198.

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This paper presents a methodology for correcting geometric and topological errors, specifically addressing fragmented and disconnected components in buildings (FDCB) in 3D models intended for urban digital twin (UDT). The proposed two-stage approach combines geometric refinement via duplicate vertex removal with topological refinement using a novel spatial partitioning-based Depth-First Search (DFS) algorithm for connected mesh clustering. This spatial partitioning-based DFS significantly improves upon traditional graph traversal methods like standard DFS, breadth-first search (BFS), and Union

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Zhang, Juan, and Jiong Min Zhang. "Building Quotient Cube with MapReduce in Hadoop." Advanced Materials Research 765-767 (September 2013): 1031–35. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1031.

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In order to solve the problem that how to improve the efficiency of query and calculation in massive data, a method of building quotient cubes in Hadoop plateform which combined the advantage of the quotient cube and MapReduce model is proposed in this paper. At first, all cubes will be established and their aggregate value will be calculated in the Mapping stage. All the key/value pair formed in Mapping stage will be passed to Reducing stage. Equivalence partitioning will be carried out In this stage, and the minimum aggregation cube of each equivalence partitioning will be the key with its a

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Li, Dapeng, and Changhong Yan. "Building Deformation Prediction Based on Ground Surface Settlements of Metro-Station Deep Excavation." Advances in Civil Engineering 2018 (October 10, 2018): 1–14. http://dx.doi.org/10.1155/2018/6050353.

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Building deformations are not only closely related to the distance from the building to metro-station excavation but also related to the relative positions of the building and metro-station excavation. Building deformations can be predicted using ground surface settlement profiles. Based on typical geological parameters of Nanjing metro-station excavation, ground surface settlements were numerically simulated by auxiliary planes perpendicular and parallel to the excavation and by angled auxiliary planes at the excavation corner. Results show that the ground surface settlement profiles in auxil

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Alexis, Kyriacou, Michaelides Michalis, Reppa Vasso, Timotheou Stelios, G. Panayiotou Christos, and M. Polycarpou Marios. "Distributed Contaminant Detection and Isolation for Intelligent Buildings." IEEE Transactions on Control Systems Technology 26, no. 6 (2017): 1925–41. https://doi.org/10.5281/zenodo.1012296.

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The automatic preservation of the Indoor Air Quality is an important task of the intelligent building design in order to ensure the health and safety of the occupants. The indoor air quality, however, is often compromised by various airborne contaminants that penetrate the indoor environment as a result of accidents or planned attacks. In this work, we provide the detailed analysis, implementation and evaluation of a distributed methodology for detecting and isolating multiple contaminant events in large-scale buildings. Specifically, we consider the&nbs

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18

Møller, Eva B., and Tove Lading. "Current building strategies in Greenland." E3S Web of Conferences 172 (2020): 19004. http://dx.doi.org/10.1051/e3sconf/202017219004.

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Most buildings in Greenland are built within the last 70 years. Within this relatively short period, the building styles have often changed; from small wooden houses in the 50ties to also encompass more industrialised buildings in the 70ties, and later more diverse technics. This paper describes the major tendencies in building construction of today. Apart from an extreme climate, one of the challenges in Greenland is the lack of building materials; almost everything has to be imported. Greenland is an island-operated community, with no interlinking road grid between towns and settlements. The

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19

Viegut, Alexandria A., and Percival G. Matthews. "Building fraction magnitude knowledge with number lines: Partitioning versus analogy." Developmental Psychology 59, no. 10 (2023): 1757–70. http://dx.doi.org/10.1037/dev0001616.

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Filippovska, Y., A. Wichmann, and M. Kada. "SPACE PARTITIONING FOR PRIVACY ENABLED 3D CITY MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W2 (October 5, 2016): 17–22. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w2-17-2016.

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Due to recent technological progress, data capturing and processing of highly detailed (3D) data has become extensive. And despite all prospects of potential uses, data that includes personal living spaces and public buildings can also be considered as a serious intrusion into people’s privacy and a threat to security. It becomes especially critical if data is visible by the general public. Thus, a compromise is needed between open access to data and privacy requirements which can be very different for each application. As privacy is a complex and versatile topic, the focus of this work partic

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Wichmann, A., J. Jung, G. Sohn, M. Kada, and M. Ehlers. "INTEGRATION OF BUILDING KNOWLEDGE INTO BINARY SPACE PARTITIONING FOR THE RECONSTRUCTION OF REGULARIZED BUILDING MODELS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (September 30, 2015): 541–48. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-541-2015.

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Recent approaches for the automatic reconstruction of 3D building models from airborne point cloud data integrate prior knowledge of roof shapes with the intention to improve the regularization of the resulting models without lessening the flexibility to generate all real-world occurring roof shapes. In this paper, we present a method to integrate building knowledge into the data-driven approach that uses binary space partitioning (BSP) for modeling the 3D building geometry. A retrospective regularization of polygons that emerge from the BSP tree is not without difficulty because it has to dea

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Jain, Swati, Cigdem Bayrak, Louis Petingi, and Tamar Schlick. "Dual Graph Partitioning Highlights a Small Group of Pseudoknot-Containing RNA Submotifs." Genes 9, no. 8 (2018): 371. http://dx.doi.org/10.3390/genes9080371.

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RNA molecules are composed of modular architectural units that define their unique structural and functional properties. Characterization of these building blocks can help interpret RNA structure/function relationships. We present an RNA secondary structure motif and submotif library using dual graph representation and partitioning. Dual graphs represent RNA helices as vertices and loops as edges. Unlike tree graphs, dual graphs can represent RNA pseudoknots (intertwined base pairs). For a representative set of RNA structures, we construct dual graphs from their secondary structures, and apply

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Karamyan, Davit S., and Grigor A. Kirakosyan. "Building a Speaker Diarization System: Lessons from VoxSRC 2023." Mathematical Problems of Computer Science 60 (November 30, 2023): 52–62. http://dx.doi.org/10.51408/1963-0109.

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Speaker diarization is the process of partitioning an audio recording into segments corresponding to individual speakers. In this paper, we present a robust speaker diarization system and describe its architecture. We focus on discussing the key components necessary for building a strong diarization system, such as voice activity detection (VAD), speaker embedding, and clustering. Our system emerged as the winner in the Voxceleb Speaker Recognition Challenge (VoxSRC) 2023, a widely recognized competition for evaluating speaker diarization systems.

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Konter, Johan, and Alina Vdovina. "Classifying Polygonal Algebras by theirK0-Group." Proceedings of the Edinburgh Mathematical Society 58, no. 2 (2015): 485–97. http://dx.doi.org/10.1017/s0013091514000194.

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AbstractWe prove that every incidence graph of a finite projective plane allows a partitioning into incident point-line pairs. This is used to determine the order of the identity in theK0-group of so-called polygonal algebras associated with cocompact group actions onÃ2-buildings with three orbits. TheseC*-algebras are classified by theK0-group and the classof the identity inK0. To be more precise, we show that 2(q− 1)= 0, whereqis the order of the links of the building. Furthermore, ifq= 22l−1withl∈ ℤ, then the order ofisq− 1.

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Chen, Ying, Frank Dehne, Todd Eavis, and A. Rau-Chaplin. "Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel." International Journal of Data Warehousing and Mining 2, no. 1 (2006): 1–26. http://dx.doi.org/10.4018/jdwm.2006010101.

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Gottstein, Cyprien, Philippe Raipin Parvedy, Michel Hurfin, Thomas Hassan, and Thierry Coupaye. "Partitioning Wide Area Graphs Using a Space Filling Curve." International Journal of Data Mining & Knowledge Management Process 11, no. 1 (2021): 13–31. http://dx.doi.org/10.5121/ijdkp.2021.11102.

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Graph structure is a very powerful tool to model system and represent their actual shape. For instance, modelling an infrastructure or social network naturally leads to graph. Yet, graphs can be very different from one another as they do not share the same properties (size, connectivity, communities, etc.) and building a system able to manage graphs should take into account this diversity. A big challenge concerning graph management is to design a system providing a scalable persistent storage and allowing efficient browsing. Mainly to study social graphs, the most recent developments in graph

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Zhou, Rui, Hongchao Xu, Hao Zhang, et al. "Quantifying the Relationship between 2D/3D Building Patterns and Land Surface Temperature: Study on the Metropolitan Shanghai." Remote Sensing 14, no. 16 (2022): 4098. http://dx.doi.org/10.3390/rs14164098.

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In the context of urban warming associated with rapid urbanization, the relationship between urban landscape patterns and land surface temperature (LST) has been paid much attention. However, few studies have comprehensively explored the effects of two/three-dimensional (2D/3D) building patterns on LST, particularly by comparing their relative contribution to the spatial variety of LST. This study adopted the ordinary least squares regression, spatial autoregression and variance partitioning methods to investigate the relationship between 2D/3D building patterns and summertime LST across 2016–

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Geldermans, Bob, Martin Tenpierik, and Peter Luscuere. "Circular and Flexible Infill Concepts: Integration of the Residential User Perspective." Sustainability 11, no. 1 (2019): 261. http://dx.doi.org/10.3390/su11010261.

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Circular building has gained considerable attention in the Netherlands during the past decade. It is rooted in concepts such as circular economy (CE) and Cradle-to-Cradle (C2C®), accentuating the closing and coupling of material loops to establish effective and efficient resource flows. Moreover, those concepts adhere to a systemic, holistic worldview, incorporating multiple flows and values. Although social aspects, such as health, wellbeing, and social inclusiveness, are generally part of circular building principles, specific benefits for end-users are not. This paper explores the synergist

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Wang, Fengqin, Zhiying Wang, and Qiuwen Zhang. "FSVM- and DAG-SVM-Based Fast CU-Partitioning Algorithm for VVC Intra-Coding." Symmetry 15, no. 5 (2023): 1078. http://dx.doi.org/10.3390/sym15051078.

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H.266/VVC introduces the QTMT partitioning structure, building upon the foundation laid by H.265/HEVC, which makes the partitioning more diverse and flexible but also brings huge coding complexity. To better address the problem, we propose a fast CU decision algorithm based on FSVMs and DAG-SVMs to reduce encoding time. The algorithm divides the CU-partitioning process into two stages and symmetrically extracts some of the same CU features. Firstly, CU is input into the trained FSVM model, extracting the standard deviation, directional complexity, and content difference complexity of the CUs,

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Zhao, Xuefeng, Qiantai Yang, Gangwen Yan, et al. "Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm." Buildings 14, no. 12 (2024): 3826. http://dx.doi.org/10.3390/buildings14123826.

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This study aims to optimize the length partitioning of modular MEP systems in building construction using a genetic algorithm, addressing challenges such as avoiding fittings (e.g., tees and crosses) and achieving standardized module lengths. To this end, this paper proposes an optimization method utilizing the customization of Revit 2021. The method comprehensively considers factors such as the location of pipe fittings, module length, production, transportation, and installation, achieving a more systematic partitioning of modules. The results show that the optimized partitioning scheme effe

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31

Mack, Nancy K. "Learning Fractions with Understanding: Building on Informal Knowledge." Journal for Research in Mathematics Education 21, no. 1 (1990): 16–32. http://dx.doi.org/10.5951/jresematheduc.21.1.0016.

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Eight sixth-grade students received individualized instruction on addition and subtraction of fractions in a one-to-one setting for six weeks. Instruction was designed to build on the student's informal knowledge of fractions. All students possessed a rich store of informal knowledge of fractions that was based on partitioning units and treating the parts as whole numbers. Students' informal knowledge was initially disconnected from their knowledge of fraction symbols and procedures. Students related fraction symbols and procedures to their informal knowledge in ways that were meaningful to th

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Raju, Dachepally. "Building Real-Time Data Pipelines with AWS Kinesis and Lambda." International Journal of Leading Research Publication 3, no. 7 (2022): 1–5. https://doi.org/10.5281/zenodo.14787225.

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Real-time data pipelines enable organizations to process and analyze streaming data as it is generated. AWS Kinesis and Lambda provide a serverless framework that is scalable, cost-effective, and easy to deploy. This paper explores the architecture, implementation, and optimization of real-time data pipelines using AWS Kinesis and Lambda. Topics include shard management, event triggers, stream partitioning, and error handling. With examples, diagrams, and flowcharts, this paper aims to equip developers and architects with actionable insights for creating efficient real-time data systems.

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Hurat, Basile, Zariluz Alvarado, and Jérôme Gilles. "The Empirical Watershed Wavelet." Journal of Imaging 6, no. 12 (2020): 140. http://dx.doi.org/10.3390/jimaging6120140.

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The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain. However, existing 2D extensions are constrained by the shape of the detected partitioning. In this paper, we provide theoretical results that permits us to build 2D empirical wavelet filters based on an arbitrary partitioning of the frequency domain. We also propose an algorithm to detect such partitioning from an image spectrum by combining a scale-space representation to estimate the position of dominant harmonic modes and a wat

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Ihm, Sun-Young, Aziz Nasridinov, and Young-Ho Park. "Grid-PPPS: A Skyline Method for Efficiently Handling Top-kQueries in Internet of Things." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/401618.

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A rapid development in wireless communication and radio frequency technology has enabled the Internet of Things (IoT) to enter every aspect of our life. However, as more and more sensors get connected to the Internet, they generate huge amounts of data. Thus, widespread deployment of IoT requires development of solutions for analyzing the potentially huge amounts of data they generate. A top-kquery processing can be applied to facilitate this task. The top-kqueries retrievektuples with the lowest or the highest scores among all of the tuples in the database. There are many methods to answer to

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Li, Feng, Wenzhong Shi, Hua Zhang, Yunlin Tu, Ming Hao, and Yangjie Sun. "Automatic multi-storey building partitioning from point cloud via bidirectional cloth simulation." Journal of Building Engineering 97 (November 2024): 110854. http://dx.doi.org/10.1016/j.jobe.2024.110854.

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Janssens, Gerrit K. "Chain partitioning as a key element for building vehicle routing problem heuristics." Journal of Information and Optimization Sciences 29, no. 4 (2008): 693–703. http://dx.doi.org/10.1080/02522667.2008.10699829.

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Constantinescu, S. "Plane shape impact to non-bearing masonry walls in a high rise reinforced concrete walls building." IOP Conference Series: Materials Science and Engineering 1242, no. 1 (2022): 012010. http://dx.doi.org/10.1088/1757-899x/1242/1/012010.

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Abstract Nowadays, due to architectural necessities, structures have emerged in many different plane shapes, such as U, V, L T and others. It is important to establish if a nonrectangular shape causes important changes both for the bearing and non-bearing elements, compared to a rectangular one. The paper shows the impact a buildings shapes on the partitioning walls. For this paper the structures in study are two high rise reinforced concrete walls buildings placed in a high seismic area (Bucharest, Romania). The partitioning walls are made of masonry. Both bearing and non-bearing walls are th

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Yamada, Tsunetomo. "PyQCstrc.ico: a computing package for structural modelling of icosahedral quasicrystals." Journal of Applied Crystallography 54, no. 4 (2021): 1252–55. http://dx.doi.org/10.1107/s1600576721005951.

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The atomic structure of quasicrystals (QCs) is described as a section of a higher-dimensional structure that consists of a periodic arrangement of occupation domains (ODs). Determination of the shape of ODs and their partitioning is crucial in the structural analysis of QCs. However, owing to the complicated shape of ODs, building the initial structure model requires a great deal of time and effort. Thus, a computer program for building structure models of QCs is needed. Presented here is a Python3 package for structure modelling of icosahedral QCs.

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Kushiro, Noriyuki, Ami Fukuda, Masatada Kawatsu, and Toshihiro Mega. "Predict Electric Power Demand with Extended Goal Graph and Heterogeneous Mixture Modeling." Information 10, no. 4 (2019): 134. http://dx.doi.org/10.3390/info10040134.

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In this study, methods for predicting energy demand on hourly consumption data are established for realizing an energy management system for buildings. The methods consist of an energy prediction algorithm that automatically separates the datasets to partitions (gate) and creates a linear regression model (local expert) for each partition on the heterogeneous mixture modeling, and an extended goal graph that extracts candidates of variables both for data partitioning and for linear regression for the energy prediction algorithm. These methods were implemented as tools and applied to create the

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Labzioui, Redouane, Khadija Letrache, and Mohammed Ramdani. "Method for developing and partitioning graph-based data warehouses using association rules." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 1 (2025): 810. http://dx.doi.org/10.11591/ijai.v14.i1.pp810-821.

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The evolution of modern databases has led to a variety of not only structured query language (NoSQL) models, particularly graph-oriented-databases. This growth has encouraged businesses to explore graph-based business intelligence (BI) solutions. This paper explores three essential aspects in the domain of graph warehouse: the establishment of efficient graph warehouses, the significance of data historization, and the development of effective strategies for graph partitioning. It starts by building a BI system within a graph database. Subsequently, the paper emphasizes the pivotal role of data

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Redouane, Labzioui, Letrache Khadija, and Ramdani Mohammed. "Method for developing and partitioning graph-based data warehouses using association rules." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 1 (2025): 810–21. https://doi.org/10.11591/ijai.v14.i1.pp810-821.

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The evolution of modern databases has led to a variety of not only structured query language (NoSQL) models, particularly graph-oriented-databases. This growth has encouraged businesses to explore graph-based business intelligence (BI) solutions. This paper explores three essential aspects in the domain of graph warehouse: the establishment of efficient graph warehouses, the significance of data historization, and the development of effective strategies for graph partitioning. It starts by building a BI system within a graph database. Subsequently, the paper emphasizes the pivotal role of data

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Lewis, Charlotte E., Graham Noctor, David Causton, and Christine H. Foyer. "Regulation of assimilate partitioning in leaves." Functional Plant Biology 27, no. 6 (2000): 507. http://dx.doi.org/10.1071/pp99177.

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Concepts of the regulation of assimilate partitioning in leaves frequently consider only the allocation of carbon between sucrose and starch synthesis, storage and export. While carbohydrate metabolism accounts for a large proportion of assimilated carbon, such analyses provide only a restricted view of carbon metabolism and partitioning in leaf cells since photosynthetic carbon fixation provides precursors for all other biosynthetic pathways in the plant. Most of these precursors are required for biosynthesis of amino acids that form the building blocks for many compounds in plants. We have u

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Park, Jong-Woong, Jong-Jae Lee, Hyung-Jo Jung, and Hyun Myung. "Vision-based displacement measurement method for high-rise building structures using partitioning approach." NDT & E International 43, no. 7 (2010): 642–47. http://dx.doi.org/10.1016/j.ndteint.2010.06.009.

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Tian, Ruijie, Weishi Zhang, Fei Wang, Kemal Polat, and Fayadh Alenezi. "Tinba: Incremental partitioning for efficient trajectory analytics." Advanced Engineering Informatics 57 (August 2023): 102064. http://dx.doi.org/10.1016/j.aei.2023.102064.

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Penkovskaya, Kseniya Vyacheslavovna, Aleksandr Nikolaevich Suslov, and Sergey Ivanovich Poznyakov. "Segmentation of transport network by separation property for building transportation hub system." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2023, no. 2 (2023): 23–29. http://dx.doi.org/10.24143/2073-1574-2023-2-23-29.

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The article considers the problem of segmenting the interrelated terminals of a transport network into a fixed number of relatively autonomous transport hubs when solving transport technical problems. There has been proposed a most common and simple option for solving the graph partition problems - a problem of segmenting the transport network by r-partitioning. Useful practical approaches to solving the problem are studied. There has been proposed an assessing version for developing the transport network segmentation procedures and their content-richness. A heuristic procedure for the transpo

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Malavieille, Jacques, Stephane Dominguez, Chia-Yu Lu, Chih-Tung Chen, and Elena Konstantinovskaya. "Deformation partitioning in mountain belts: insights from analogue modelling experiments and the Taiwan collisional orogen." Geological Magazine 158, no. 1 (2019): 84–103. http://dx.doi.org/10.1017/s0016756819000645.

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AbstractMany orogens on the planet result from plate convergence involving subduction of a continental margin. The lithosphere is strongly deformed during mountain building involving subduction of a plate composed generally of accreted continental margin units and some fragments of downgoing oceanic crust and mantle. A complex deformation involving strong partitioning of deformation modes and kinematics produces crustal shortening, accompanied by crustal thickening. Partitioning depends on three main factors: (1) rheologic layering of the lithosphere; (2) interaction between tectonics and surf

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Alghamdi, Abdulaziz, Guangji Hu, Husnain Haider, Kasun Hewage, and Rehan Sadiq. "Benchmarking of Water, Energy, and Carbon Flows in Academic Buildings: A Fuzzy Clustering Approach." Sustainability 12, no. 11 (2020): 4422. http://dx.doi.org/10.3390/su12114422.

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In Canada, higher educational institutions (HEIs) are responsible for a significant portion of energy consumption and anthropogenic greenhouse gas (GHG) emissions. Improving the environmental performance of HEIs is an important step to achieve nationwide impact reduction. Academic buildings are among the largest infrastructure units in HEIs. Therefore, it is crucial to improve the environmental performance of academic buildings during their operations. Identifying critical academic buildings posing high impacts calls for methodologies that can holistically assess the environmental performance

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Ji, Ke, Jinjun Tang, Min Li, and Cheng Hu. "Distributed Traffic Control Based on Road Network Partitioning Using Normalization Algorithm." Sustainability 15, no. 14 (2023): 11378. http://dx.doi.org/10.3390/su151411378.

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With continuous economic development, most urban road networks are facing unprecedented traffic congestion. Centralized traffic control is difficult to achieve, and distributed traffic control based on partitioning a road network into subnetworks is a promising way to alleviate traffic pressure on urban roads. In order to study the differences between different partitioning methods chosen for distributed traffic control, we used the normalization algorithm to partition a part of the road network in Changsha City, and we used the results of the Girvan–Newman algorithm and the manual empirical p

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Lotfi, Somayeh, Mohammad Ghasemzadeh, Mehran Mohsenzadeh, and Mitra Mirzarezaee. "Combining Fuzzy Partitioning and Incremental Methods to Construct a Scalable Decision Tree on Large Datasets." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, no. 06 (2023): 937–56. http://dx.doi.org/10.1142/s0218488523500423.

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The Decision tree algorithm is a very popular classifier for reasoning through recursive partitioning of the data space. To choose the best attributes for splitting, the range of each continuous attribute should be split into two or more intervals. Then partitioning criteria are calculated for each value. Fuzzy partitioning can be used to reduce sensitivity to noise and increase tree stability. Also, tree-building algorithms face memory limitations as they need to keep the entire training dataset in the main memory. In this paper, we introduced a fuzzy decision tree approach based on fuzzy set

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Sudheer Vankayala. "Building Scalable Data Processing Systems with Kafka on Kubernetes." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 865–74. https://doi.org/10.32628/cseit25111290.

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Real-time data processing has become a critical requirement for modern enterprises, presenting unique challenges in scalability, reliability, and performance. This technical article explores the synergy between Apache Kafka and Kubernetes in building robust, production-grade streaming architectures. This article presents a detailed examination of how Kafka's distributed streaming capabilities, combined with Kubernetes' container orchestration, create a resilient foundation for handling high-velocity data streams. Through practical examples from insurance claims processing and manufacturing IoT

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