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Journal articles on the topic 'Snowflake scheme'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Leinonen, Jussi, and Alexis Berne. "Unsupervised classification of snowflake images using a generative adversarial network and <i>K</i>-medoids classification." Atmospheric Measurement Techniques 13, no. 6 (2020): 2949–64. http://dx.doi.org/10.5194/amt-13-2949-2020.

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Abstract. The increasing availability of sensors imaging cloud and precipitation particles, like the Multi-Angle Snowflake Camera (MASC), has resulted in datasets comprising millions of images of falling snowflakes. Automated classification is required for effective analysis of such large datasets. While supervised classification methods have been developed for this purpose in recent years, their ability to generalize is limited by the representativeness of their labeled training datasets, which are affected by the subjective judgment of the expert and require significant manual effort to deri

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Novreza, Vicky, Yuda Munarko, and Lailatul Husniah. "Data Warehouse Menggunakan Snowflake Schema Pada Virtual Shop." Jurnal Repositor 2, no. 1 (2020): 67. http://dx.doi.org/10.22219/repositor.v2i1.180.

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AbstrakVirtual shop adalah penerapan teknologi virtual realiy pada toko online guna meningkatkan interaksi pembeli. Penerarapan virtual reality pada online shop menimbulkan pertanyaan untuk penyimpanan data serta pengolahan data sebagai analisa kebutuhan. Data pada toko online sebatas pada data transaksional dan tidak dilakukan pengolahan yang lebih untuk dilakukan analisa. Solusi dari permasalahan tersebut dengan melakukan perancangan data warehouse untuk menyiapkan tempat penyimpanan data agar analisa dapat dilakukan guna pengembangan teknologi virtual shop. Sistem pada data warehouse dapat

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Ori, Davide, Leonie von Terzi, Markus Karrer, and Stefan Kneifel. "snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation." Geoscientific Model Development 14, no. 3 (2021): 1511–31. http://dx.doi.org/10.5194/gmd-14-1511-2021.

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Abstract. More detailed observational capabilities in the microwave (MW) range and advancements in the details of microphysical schemes for ice and snow demand increasing complexity to be included in scattering databases. The majority of existing databases rely on the discrete dipole approximation (DDA) whose high computational costs limit either the variety of particle types or the range of parameters included, such as frequency, temperature, and particle size. The snowScatt tool is innovative in that it provides consistent microphysical and scattering properties of an ensemble of 50 000 snow

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Wang, Guorong, Yongkang Quan, Kaicheng Yang, and Zhiliang Jin. "EDA-assisted synthesis of multifunctional snowflake-Cu2S/CdZnS S-scheme heterojunction for improved the photocatalytic hydrogen evolution." Journal of Materials Science & Technology 121 (September 2022): 28–39. http://dx.doi.org/10.1016/j.jmst.2021.11.073.

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Yan, Chenlong, Mengyang Xu, Jinze Li, Huiqin Wang, and Pengwei Huo. "Fabricated ZnIn2S4/Cu2S S-scheme heterojunction with snowflake structure for boosting photocatalytic CO2 reduction in gas–solid reactor." Fuel 378 (December 2024): 132921. http://dx.doi.org/10.1016/j.fuel.2024.132921.

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Colli, Matteo, Roy Rasmussen, Julie M. Thériault, Luca G. Lanza, C. Bruce Baker, and John Kochendorfer. "An Improved Trajectory Model to Evaluate the Collection Performance of Snow Gauges." Journal of Applied Meteorology and Climatology 54, no. 8 (2015): 1826–36. http://dx.doi.org/10.1175/jamc-d-15-0035.1.

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AbstractRecent studies have used numerical models to estimate the collection efficiency of solid precipitation gauges when exposed to the wind in both shielded and unshielded configurations. The models used computational fluid dynamics (CFD) simulations of the airflow pattern generated by the aerodynamic response to the gauge–shield geometry. These are used as initial conditions to perform Lagrangian tracking of solid precipitation particles. Validation of the results against field observations yielded similarities in the overall behavior, but the model output only approximately reproduced the

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Karanam, Srinivasa Rao. "Advanced Analytics with Snowflake and Power BI." International Scientific Journal of Engineering and Management 03, no. 09 (2024): 1–7. https://doi.org/10.55041/isjem02074.

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The demand for advanced analytics and near real-time insights has intensified across industries. Organizations are increasingly turning to modern data platforms and powerful business intelligence tools to streamline their analytical processes and drive decision-making. Snowflake has cemented its position as a leading cloud data platform that enables elastic compute scaling, secure data sharing, and powerful governance features. Simultaneously, Microsoft’s Power BI continues to evolve as one of the most widely adopted business intelligence and analytics solutions. The synergy between Snowflake

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CABIBBO, LUCA, and RICCARDO TORLONE. "AN ARCHITECTURE FOR DATA WAREHOUSING SUPPORTING DATA INDEPENDENCE AND INTEROPERABILITY." International Journal of Cooperative Information Systems 10, no. 03 (2001): 377–97. http://dx.doi.org/10.1142/s0218843001000394.

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We report on the design of a novel architecture for data warehousing based on the introduction of an explicit "logical" layer to the traditional data warehousing framework. This layer serves to guarantee a complete independence of OLAP applications from the physical storage structure of the data warehouse and thus allows users and applications to manipulate multidimensional data ignoring implementation details. For example, it makes possible the modification of the data warehouse organization (e.g. MOLAP or ROLAP implementation, star scheme or snowflake scheme structure) without influencing th

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Daza, Alfredo, Daniela Belen Salazar Casas, and Yohan Roy Alarcón Cajas. "Business intelligence for decision-making in the collection area of a municipality." Bulletin of Electrical Engineering and Informatics 13, no. 6 (2024): 4223–35. http://dx.doi.org/10.11591/eei.v13i6.5704.

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The large volume of data in systems in the collection area leads to the lack of adequate management of information, as well as dissatisfaction on the part of the user. The purpose of the study is to implement business intelligence (BI) technology to improve the effectiveness of the information and the satisfaction of the attention of the users of a municipality of Lima in the area of collection; therefore, the phases of the Ralph Kimball method with the following phases: project planning; definition of requirements; design of technological architecture; in the dimensional modeling a snowflake

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Karanam, Srinivasa Rao. "Understanding Snowflake Data Lake." International Scientific Journal of Engineering and Management 03, no. 12 (2024): 1–8. https://doi.org/10.55041/isjem02194.

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Snowflake’s cloud-native design, decoupled storage-compute model, and capacity to handle semi- structured data might suggest a data lake–like architecture, its proprietary formats and higher costs under continuous workloads can hamper its effectiveness for large-scale raw data ingestion. Instead, organizations find it valuable to store the majority of raw or historical data in a dedicated data lake based on object storage (e.g., S3 or ADLS) and then selectively push curated data sets into Snowflake for advanced analytics and concurrency advantages. We examine the evolution of cloud-based data

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Zhang, Rui, Junrong Yu, Tongqing Zhang, et al. "A novel snowflake dual Z-scheme Cu2S/ RGO/ Bi2WO6 photocatalyst for the degradation of bisphenol A under visible light and its effect on crop growth." Colloids and Surfaces A: Physicochemical and Engineering Aspects 641 (May 2022): 128526. http://dx.doi.org/10.1016/j.colsurfa.2022.128526.

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Grzegorczyk, Pierre, Sudha Yadav, Florian Zanger, et al. "Fragmentation of ice particles: laboratory experiments on graupel–graupel and graupel–snowflake collisions." Atmospheric Chemistry and Physics 23, no. 20 (2023): 13505–21. http://dx.doi.org/10.5194/acp-23-13505-2023.

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Abstract. Until now, the processes involved in secondary ice production which generate high concentrations of ice crystals in clouds have been poorly understood. However, collisions that involve rimed ice particles or crystal aggregates have the potential to effectively produce secondary ice from their fragmentation. Unfortunately, there have only been a few laboratory studies on ice–ice collision so far, resulting in an inaccurate representation of this process in microphysical schemes. To address this issue, experiments were conducted at the wind tunnel laboratory of the Johannes Gutenberg U

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Wang, Haokun, Yatharth Singhal, and Jin Ryong Kim. "Let It Snow: Designing Snowfall Experience in VR." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 2 (2024): 1–24. http://dx.doi.org/10.1145/3659587.

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We present Snow, a cross-modal interface that integrates cold and tactile stimuli in mid-air to create snowflakes and raindrops for VR experiences. Snow uses six Peltier packs and an ultrasound haptic display to create unique cold-tactile sensations for users to experience catching snowflakes and getting rained on their bare hands. Our approach considers humans' ability to identify tactile and cold stimuli without masking each other when projected onto the same location on their skin, making illusions of snowflakes and raindrops. We design both visual and haptic renderings to be tightly couple

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Cooper, Steven J., Tristan S. L’Ecuyer, Mareile Astrid Wolff, et al. "Exploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign." Bulletin of the American Meteorological Society 103, no. 8 (2022): E1762—E1780. http://dx.doi.org/10.1175/bams-d-21-0007.1.

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Abstract The High-Latitude Measurement of Snowfall (HiLaMS) campaign explored variability in snowfall properties and processes at meteorologically distinct field sites located in Haukeliseter, Norway, and Kiruna, Sweden, during the winters of 2016/17 and 2017/18, respectively. Campaign activities were founded upon the sensitivities of a low-cost, core instrumentation suite consisting of Micro Rain Radar, Precipitation Imaging Package, and Multi-Angle Snow Camera. These instruments are highly portable to remote field sites and, considered together, provide a unique and complementary set of snow

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Melnyk, S. I., N. V. Leschuk, N. S. Orlenko, E. M. Starychenko, K. M. Mazhuha, and Y. A. Shkapenko. "Features of recording of meteorological conditions in the data warehouse of qualification examination of plant varieties." Plant varieties studying and protection 17, no. 3 (2021): 254–61. http://dx.doi.org/10.21498/2518-1017.17.3.2021.242980.

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Purpose. To develop a multidimensional model of the data storage for the qualification examination of plant varieties for fixing meteorological conditions in conjunction with the phenological stages of development of varieties that undergo DUS and SVD expertise. Methods. To conduct research with the establishment of the main structural elements of a multidimensional data warehouse, methods of induction, deduction, analysis and synthesis were used. In the design process of the storage facility, W. H. Inmon’s concept was applied, adapted for the agricultural and agricultural business.&#x0

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Kumar Singu, Santosh. "Implementing Star and Snowflake Schemas in Healthcare Data Warehousing." International Journal of Science and Research (IJSR) 13, no. 11 (2024): 237–41. http://dx.doi.org/10.21275/sr241030061006.

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Jin, Han-Gyul, and Jong-Jin Baik. "A New Parameterization of the Accretion of Cloud Water by Snow and Its Evaluation through Simulations of Mesoscale Convective Systems." Journal of the Atmospheric Sciences 77, no. 8 (2020): 2885–903. http://dx.doi.org/10.1175/jas-d-19-0326.1.

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Abstract A new parameterization of the accretion of cloud water by snow for use in bulk microphysics schemes is derived as an analytic approximation of the stochastic collection equation (SCE), where the theoretical collision efficiency for individual snowflake–cloud droplet pairs is applied. The snowflake shape is assumed to be nonspherical with the mass–size and area–size relations suggested by an observational study. The performance of the new parameterization is compared to two parameterizations based on the continuous collection equation, one with the spherical shape assumption for snowfl

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Ma, Ding, Zhigang Zhao, Ye Zheng, Renzhong Guo, and Wei Zhu. "PolySimp: A Tool for Polygon Simplification Based on the Underlying Scaling Hierarchy." ISPRS International Journal of Geo-Information 9, no. 10 (2020): 594. http://dx.doi.org/10.3390/ijgi9100594.

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Map generalization is a process of reducing the contents of a map or data to properly show a geographic feature(s) at a smaller extent. Over the past few years, the fractal way of thinking has emerged as a new paradigm for map generalization. A geographic feature can be deemed as a fractal given the perspective of scaling, as its rough, irregular, and unsmooth shape inherently holds a striking scaling hierarchy of far more small elements than large ones. The pattern of far more small things than large ones is a de facto heavy tailed distribution. In this paper, we apply the scaling hierarchy f

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S., I. Melnyk, V. Leschuk N., S. Orlenko N., M. Starychenko E., M. Mazhuha K., and A. Shkapenko Y. "Features of recording of meteorological conditions in the data warehouse of qualification examination of plant varieties." Plant varieties studying and protection 17, no. 3 (2021): 254–61. https://doi.org/10.21498/2518-1017.17.3.2021.242980.

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<strong>Purpose.</strong> To develop a multidimensional model of the data storage for the qualification examination of plant varieties for fixing meteorological conditions in conjunction with the phenological stages of development of varieties that undergo DUS and SVD expertise. <strong>Methods.</strong> To conduct research with the establishment of the main structural elements of a multidimensional data warehouse, methods of induction, deduction, analysis and synthesis were used. In the design process of the storage facility, W. H. Inmon’s concept was applied, adapted for

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WANG Xiang, ZHOU Yishen, ZHANG Xuange, and CHEN Xihao. "Single-Pixel Imaging with Convolutional Neural Networks Enhanced by Attention Mechanisms." Acta Physica Sinica 74, no. 8 (2025): 0. https://doi.org/10.7498/aps.74.20250010.

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This paper presents a novel convolutional neural network-based single-pixel imaging method that integrates a physics-driven fusion attention mechanism. By incorporating a module combining both channel and spatial attention mechanisms into a randomly initialized convolutional network, the method utilizes the physical model constraints of single-pixel imaging to achieve high-quality image reconstruction. Specifically, the spatial and channel attention mechanisms are combined into a single module and introduced into various layers of a multi-scale U-net convolutional network. In the spatial atten

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Garani, Georgia, and Sven Helmer. "Integrating Star and Snowflake Schemas in Data Warehouses." International Journal of Data Warehousing and Mining 8, no. 4 (2012): 22–40. http://dx.doi.org/10.4018/jdwm.2012100102.

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A fundamental issue encountered by the research community of data warehouses (DWs) is the modeling of data. In this paper, a new design is proposed, named the starnest schema, for the logical modeling of DWs. Using nested methodology, data semantics can be explicitly represented. Part of the design involves providing a translation mechanism from the star/snowflake schemas to a nested representation. The novel schema proposed in this paper is accomplished by converting the fact-dimension schema to a fact-nested dimension schema. The transformation of the denormalized dimension tables to nested

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Santosh, Vinnakota. "Streamlining Legacy Migrations: A Comparative Analysis of Teradata to Snowflake Transformation." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 4 (2020): 1–7. https://doi.org/10.5281/zenodo.15054566.

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The increasing need for scalable, cost-effective, and cloud-native data solutions has propelled organizations to migrate from legacy systems like Teradata to modern platforms such as Snowflake. This paper delves into comprehensive strategies, explores technical challenges, and presents robust solutions for migrating Teradata workloads to Snowflake. It emphasizes advanced techniques for schema conversion, SQL translation, query performance tuning, and cost optimization. Detailed workflows, in-depth technical comparisons, and actionable insights are accompanied by diagrams, flowcharts, and examp

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Düsterhöft, Antje, and Bernhard Thalheim. "Linguistic based search facilities in snowflake-like database schemes." Data & Knowledge Engineering 48, no. 2 (2004): 177–98. http://dx.doi.org/10.1016/s0169-023x(03)00104-6.

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Aswini, S., D. Murali, and R. Selvam. "Dynamic Environment and Snowflake Schema in Real Time Data Services." International Journal of Computer Applications 82, no. 5 (2013): 23–29. http://dx.doi.org/10.5120/14113-2162.

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Levene, Mark, and George Loizou. "Why is the snowflake schema a good data warehouse design?" Information Systems 28, no. 3 (2003): 225–40. http://dx.doi.org/10.1016/s0306-4379(02)00021-2.

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Velinov, Goran, Margita Kon-Popovska, and Danilo Gligoroski. "A Generalized Approach to Optimization of Relational Data Warehouses Using Hybrid Greedy and Genetic Algorithms." Scientific Annals of Computer Science XIX (June 5, 2009): 25–55. https://doi.org/10.5281/zenodo.12720231.

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As far as we know, in the open scientific literature, there is no generalized framework for the optimization of relational data warehouses which includes view and index selection and vertical view fragmentation. In this paper we are offering such a framework. We propose a formalized multidimensional model, based on relational schemas, which provides complete vertical view fragmentation and presents an approach of the transformation of a fragmented snowflake schema to a defragmented star schema through the process of denormalization.

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Jagan Nalla. "Performance Engineering in Cloud Data Warehouses: A Systematic Approach to Optimization." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 612–20. https://doi.org/10.32996/jcsts.2025.7.5.67.

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Cloud data warehouses have emerged as the cornerstone of modern enterprise analytics infrastructure, yet achieving optimal performance across platforms like Redshift, Snowflake, and Synapse requires specialized knowledge that extends beyond traditional on-premises optimization techniques. This article presents a systematic framework for performance tuning in cloud data warehouse environments, encompassing critical aspects from foundational data modeling principles to advanced query optimization strategies. The interplay between schema design decisions, partitioning schemes, and indexing mechan

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Benjelloun, Mohammed, Mohamed El, and El Amin. "Using Snowflake Schema and Bitmap Index for Big Data Warehouse Volume." International Journal of Computer Applications 180, no. 8 (2017): 30–32. http://dx.doi.org/10.5120/ijca2017916049.

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Benjelloun, Mohammed, Mohamed El, and El Amin. "Impact of using Snowflake Schema and Bitmap Index on Data Warehouse Querying." International Journal of Computer Applications 180, no. 15 (2018): 33–35. http://dx.doi.org/10.5120/ijca2018916286.

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Putra Wijaya, I. Putu Ari, Wahyudin Wahyudin, and Made Mataram. "Data warehouse Implementation on Denpasar City Online Community Complaints System." International Journal of Engineering and Emerging Technology 2, no. 1 (2017): 67. http://dx.doi.org/10.24843/ijeet.2017.v02.i01.p14.

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Department of Communications and Informatics, appointed as Executor of Handling Complaint Society in Denpasar City. Over time and more complex data complaints that come in so complicate the data analysis, to overcome the data it is necessary implementation of data warehouse. The method used is Snowflake Schema, this method is chosen because this method is the development of star schema where each dimension table can have sub-table dimension. It aims to minimize data overload. From the results of the implementation in get the conclusion that by implementing data warehouse can facilitate the use

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Sari, Dely Indah, Widiya Lestari Harahap, and Faishal Ali. "Analisis Strategi Pengelolaan Data Laporan Keuangan Bank Menggunakan Metode Konseptual Data Warehouse." J-SISKO TECH (Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD) 7, no. 1 (2024): 41. http://dx.doi.org/10.53513/jsk.v7i1.9486.

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Teknologi Informasi adalah sebuah asset yang penting untuk Bank sehingga penggelolaan teknologi informasi bukan hanya tanggung jawab dari divisi IT atau unit kerja penyelenggara Teknologi Informasi. Data warehouse merupakan suatu hal yang penting untuk suatu perusahaan maupun perbankan, karena dengan menggunakan data warehouse, menganalisis data suatu perusahaan atau Bank akan mudah untuk dilakukan. Yang berarti data warehouse dapat membantu pihak manajemen Bank dalam pengambilan keputusan secara cepat untuk memecahkan masalah. Penelitian kali ini akan menggunakan Entity Relathionship Digram (

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Novandya, Adhika. "DATA WAREHOUSE : FACT CONSTELLATION SCHEMA DENGAN PEMODELAN DATA DIMENSIONAL POWELL PADA WEDDING ORGANIZER." Reputasi: Jurnal Rekayasa Perangkat Lunak 2, no. 2 (2021): 59–65. http://dx.doi.org/10.31294/reputasi.v2i2.562.

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Wedding organizer, usaha yang bergerak dalam bidang jasa yang secara khusus membantuk dalam merencanakan sebuah pesta pernikahan. Perlunya perancangan sebuah model konseptual data warehouse pada Wedding organizer ditujukan untuk merancang model dan alur data yang ada pada Wedding organizer tersebut. Data warehouse merupakan kumpulan data dari berbagai sumber yang ditempatkan menjadi satu dalam tempat penyimpanan untuk proses querying dan reporting. Model konseptual data warehouse merupakan suatu desain logic yang merepresentasikan data. Metode perancangan data warehouse yang digunakan dalam pe

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Atigui, Faten, Franck Ravat, Jiefu Song, Olivier Teste, and Gilles Zurfluh. "Facilitate Effective Decision-Making by Warehousing Reduced Data." International Journal of Decision Support System Technology 7, no. 3 (2015): 36–64. http://dx.doi.org/10.4018/ijdsst.2015070103.

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The authors' aim is to provide a solution for multidimensional data warehouse's reduction based on analysts' needs which will specify aggregated schema applicable over a period of time as well as retain only useful data for decision support. Firstly, they describe a conceptual modeling for multidimensional data warehouse. A multidimensional data warehouse's schema is composed of a set of states. Each state is defined as a star schema composed of one fact and its related dimensions. The derivation between states is carried out through combination of reduction operators. Secondly, they present a

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Tan, Jun, and Hai Ming Zhao. "Construction of Data Warehouse Platform in Continual Quality Improvement." Applied Mechanics and Materials 519-520 (February 2014): 13–16. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.13.

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Aiming at improving product quality continually, we proposed an association rules mining system (ARMS) based on idea of PDCA cycling. Data warehouse is very useful for integrating heterogeneous database. Therefore, this paper designed a data warehouse platform as process data exchange module in ARMS. The role of data warehouse platform module is to integrate XML with enterprise process for realizing process data exchange among departments. In design of data warehosue, this paper chooses three-tier data warehouse structure and snowflake schema for indicating the complex relation between process

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Li, Xu, Qi Shen, and Tiancheng Yang. "Design and optimization of multidimensional data models for enhanced OLAP query performance and data analysis." Applied and Computational Engineering 69, no. 1 (2024): 168–73. http://dx.doi.org/10.54254/2755-2721/69/20241503.

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This paper explores the design and optimization of multidimensional data models to enhance the query performance and data analysis capabilities of OLAP (Online Analytical Processing) systems. It delves into three prominent dimensional modeling techniques: Star Schema, Snowflake Schema, and Galaxy Schema, analyzing their impact on query complexity, data redundancy, storage requirements, and ease of maintenance. Additionally, it examines three aggregation strategiesPre-Aggregation, Dynamic Aggregation, and Hybrid Aggregationfocusing on their effectiveness in balancing query response time, storag

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Frick, C., A. Seifert, and H. Wernli. "A bulk parametrization of melting snowflakes with explicit liquid water fraction for the COSMO model." Geoscientific Model Development 6, no. 6 (2013): 1925–39. http://dx.doi.org/10.5194/gmd-6-1925-2013.

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Abstract. A new snow melting parametrization is presented for the non-hydrostatic limited-area COSMO ("consortium for small-scale modelling") model. In contrast to the standard cloud microphysics of the COSMO model, which instantaneously transfers the meltwater from the snow to the rain category, the new scheme explicitly considers the liquid water fraction of the melting snowflakes. These semi-melted hydrometeors have characteristics (e.g., shape and fall speed) that differ from those of dry snow and rain droplets. Where possible, theoretical considerations and results from vertical wind tunn

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Frick, C., A. Seifert, and H. Wernli. "A bulk parameterization of melting snowflakes with explicit liquid water fraction for the COSMO model version 4.14." Geoscientific Model Development Discussions 6, no. 2 (2013): 2927–66. http://dx.doi.org/10.5194/gmdd-6-2927-2013.

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Abstract. A new snow melting parameterization is presented for the non-hydrostatic limited-area COSMO ("consortium for small-scale modelling") model version 4.14. In contrast to the standard cloud microphysics of the COSMO model, which instantaneously transfers the meltwater from the snow to the rain category, the new scheme explicitly considers the liquid water fraction of the melting snowflakes. These semi-melted hydrometeors have characteristics (e.g., shape and fall speed) that differ from those of dry snow and rain droplets. Where possible, theoretical considerations and results from vert

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Iguchi, Takamichi, Teruyuki Nakajima, Alexander P. Khain, et al. "Evaluation of Cloud Microphysics in JMA-NHM Simulations Using Bin or Bulk Microphysical Schemes through Comparison with Cloud Radar Observations." Journal of the Atmospheric Sciences 69, no. 8 (2012): 2566–86. http://dx.doi.org/10.1175/jas-d-11-0213.1.

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Abstract Numerical weather prediction (NWP) simulations using the Japan Meteorological Agency Nonhydrostatic Model (JMA-NHM) are conducted for three precipitation events observed by shipborne or spaceborne W-band cloud radars. Spectral bin and single-moment bulk cloud microphysics schemes are employed separately for an intercomparative study. A radar product simulator that is compatible with both microphysics schemes is developed to enable a direct comparison between simulation and observation with respect to the equivalent radar reflectivity factor Ze, Doppler velocity (DV), and path-integrat

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Heyraud, Catherine, Wanda Szyrmer, Stéphane Laroche, and Isztar Zawadzki. "Modeling of the Melting Layer. Part IV: Brightband Bulk Parameterization." Journal of the Atmospheric Sciences 65, no. 6 (2008): 1991–2001. http://dx.doi.org/10.1175/2007jas2448.1.

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Abstract In this paper a simplified UHF-band backscattering parameterization for individual melting snowflakes is proposed. This parameterization is a function of the density, shape, and melted fraction, and is used here in a brightband bulk modeling study. A 1D bulk model is developed where aggregation and breakup are neglected. Model results are in good agreement with detailed bin-model results and simulate the radar brightband observations well. It is shown the model can be seen as an observation operator that could be introduced into a data assimilation scheme to extract information contai

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Ambara, Made Pradnyana, Made Sudarma, and I. Nyoman Satya Kumara. "Desain Sistem Semantic Data Warehouse dengan Metode Ontology dan Rule Based untuk Mengolah Data Akademik Universitas XYZ di Bali." Majalah Ilmiah Teknologi Elektro 15, no. 1 (2016): 8. http://dx.doi.org/10.24843/mite.2016.v15i01p02.

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Data warehouse pada umumnya yang sering dikenal data warehouse tradisional mempunyai beberapa kelemahan yang mengakibatkan kualitas data yang dihasilkan tidak spesifik dan efektif. Sistem semantic data warehouse merupakan solusi untuk menangani permasalahan pada data warehouse tradisional dengan kelebihan antara lain: manajeman kualitas data yang spesifik dengan format data seragam untuk mendukung laporan OLAP yang baik, dan performance pencarian informasi yang lebih efektif dengan kata kunci bahasa alami. Pemodelan sistem semantic data warehouse menggunakan metode ontology menghasilkan model

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Oktria, Isni, and Dyah Cita Irawati. "ANALYSIS AND DESIGN OF CONCEPTUAL MODELS OF DATA WAREHOUSE IN ARISTY WEDDING ORGANIZER." International Journal Science and Technology 2, no. 1 (2023): 8–14. http://dx.doi.org/10.56127/ijst.v2i1.554.

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Wedding Organizer is a business that specializes in services that specifically help the bride and groom and families in the planning and supervision of the implementation of a series of events into a wedding party. The necessity of designing a conceptual model of data warehouse on a wedding organizer devoted to designing the model and the data flow that existed at the wedding organizer. The data warehouse is a collection of data from various sources placed together in a safae place for querying and reporting processes. The conceptual model of the data warehouse is a logic design that represent

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Kumra, Sona. "Data Modeling Techniques for Data Warehouse." International Journal of Advance Research and Innovation 5, no. 2 (2017): 51–53. http://dx.doi.org/10.51976/ijari.521709.

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The conceptual Entity-Relationship (ER) diagrams are extensively used for database design in relational database environment, which emphasized on day-to-day operations. Multidimensional (MD) data modelling, on the other hand, is crucial in data warehouse design, which targeted for managerial decision support. It supports decision making by allowing users to drill-down for a more detailed information, roll-up to view summarized information, slice and dice a dimension for a selection of a specific item of interest and pivot to re-orientate the view of MD data. When designing a MD model regardles

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Ji, Shuo, Yonghe Lao, Lishuang Cui, Hua Zhao, and Lei Shi. "Snowflakes-Shaped Cu2S/Cd0.5Mn0.5S S-scheme heterojunction for enhanced photocatalytic hydrogen production and reduction of U(VI)." Solar Energy 300 (November 2025): 113766. https://doi.org/10.1016/j.solener.2025.113766.

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Phillips, Vaughan T. J., Andrei Pokrovsky, and Alexander Khain. "The Influence of Time-Dependent Melting on the Dynamics and Precipitation Production in Maritime and Continental Storm Clouds." Journal of the Atmospheric Sciences 64, no. 2 (2007): 338–59. http://dx.doi.org/10.1175/jas3832.1.

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Abstract Simulations of one maritime and four continental observed cases of deep convection are performed with the Hebrew University Cloud Model that has spectral bin microphysics. The maritime case is from observations made on 18 September 1974 during the Global Atmospheric Research Program’s Atlantic Tropical Experiment (GATE). The continental storm cases are those of summertime Texas clouds observed on 13 August 1999, and green-ocean, smoky, and pyro-clouds observed during the Large-Scale Biosphere–Atmosphere Experiment in Amazonia–Smoke, Aerosols, Clouds, Rainfall, and Climate (LBA–SMOCC)

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Lin, Yiming, Yeye He, and Surajit Chaudhuri. "Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph." Proceedings of the VLDB Endowment 16, no. 10 (2023): 2578–90. http://dx.doi.org/10.14778/3603581.3603596.

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Business Intelligence (BI) is crucial in modern enterprises and billion-dollar business. Traditionally, technical experts like database administrators would manually prepare BI-models (e.g., in star or snowflake schemas) that join tables in data warehouses, before less-technical business users can run analytics using end-user dashboarding tools. However, the popularity of self-service BI (e.g., Tableau and Power-BI) in recent years creates a strong demand for less technical end-users to build BI-models themselves. We develop an Auto-BI system that can accurately predict BI models given a set o

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Bharath, Tumkur Shankaregowda, and Channakrishnaraju Channakrishnaraju. "An efficient snow flake schema with hash map using SHA-256 based on data masking for securing employee data." Bulletin of Electrical Engineering and Informatics 14, no. 1 (2025): 790–99. http://dx.doi.org/10.11591/eei.v14i1.8767.

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In various organizations and enterprises, data masking is used to store sensitive data efficiently and securely. The data encryption and secret-sharing-based data deploying strategies secure privacy of subtle attributes but not secrecy. To solve this problem, the novel snowflake schema with the hash map using secure hash algorithm-256 (SHA-256) is proposed for the data masking. SHA-256 approach combines data masking by secret sharing for relational databases to secure both privacy as well as the confidentiality of secret employee data. The data masking approach supports preserving and protecti

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Boukraa, Doulkifli, Mohammed Amin Bouchoukh, and Omar Boussaid. "Efficient Compression and Storage of XML OLAP Cubes." International Journal of Data Warehousing and Mining 11, no. 3 (2015): 1–25. http://dx.doi.org/10.4018/ijdwm.2015070101.

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In this paper, the authors present an approach to efficiently compress XML OLAP cubes. They propose a multidimensional snowflake schema of the cube as the basic physical configuration. The cube is then composed of one XML fact document and as many XML documents as the dimension hierarchy members. The basic configuration is reorganized into two ways by adding data redundancy on purpose in order to achieve a better compression ratio on the one hand and to improve query response time on the other hand. In the second configuration, all the documents of the cube are merged into one single XML docum

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Reutter, P., J. Trentmann, A. Seifert, et al. "3-D model simulations of dynamical and microphysical interactions in pyroconvective clouds under idealized conditions." Atmospheric Chemistry and Physics 14, no. 14 (2014): 7573–83. http://dx.doi.org/10.5194/acp-14-7573-2014.

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Abstract. Dynamical and microphysical processes in pyroconvective clouds in mid-latitude conditions are investigated using idealized three-dimensional simulations with the Active Tracer High resolution Atmospheric Model (ATHAM). A state-of-the-art two-moment microphysical scheme building upon a realistic parameterization of cloud condensation nuclei (CCN) activation has been implemented in order to study the influence of aerosol concentration on cloud development. The results show that aerosol concentration influences the formation of precipitation. For low aerosol concentrations (NCN = 200 cm

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Geresdi, István, Lulin Xue, Noémi Sarkadi, and Roy Rasmussen. "Evaluation of Orographic Cloud Seeding Using a Bin Microphysics Scheme: Three-Dimensional Simulation of Real Cases." Journal of Applied Meteorology and Climatology 59, no. 9 (2020): 1537–55. http://dx.doi.org/10.1175/jamc-d-19-0278.1.

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AbstractThe University of Pécs and NCAR Bin (UPNB) microphysical scheme was implemented into the mesoscale Weather Research and Forecast (WRF) Model that was used to study the impact of silver iodide (AgI) seeding on precipitation formation in winter orographic clouds. Four different experimental units were chosen from the Wyoming Weather Modification Pilot Project to simulate the seeding effect. The results of the numerical experiments show the following: (i) Comparisons with the soundings, snow gauges, and microwave radiometer data indicate that the three-dimensional simulations with detaile

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Van Weverberg, K., A. M. Vogelmann, W. Lin, et al. "The Role of Cloud Microphysics Parameterization in the Simulation of Mesoscale Convective System Clouds and Precipitation in the Tropical Western Pacific." Journal of the Atmospheric Sciences 70, no. 4 (2013): 1104–28. http://dx.doi.org/10.1175/jas-d-12-0104.1.

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Abstract This paper presents a detailed analysis of convection-permitting cloud simulations, aimed at increasing the understanding of the role of parameterized cloud microphysics in the simulation of mesoscale convective systems (MCSs) in the tropical western Pacific (TWP). Simulations with three commonly used bulk microphysics parameterizations with varying complexity have been compared against satellite-retrieved cloud properties. An MCS identification and tracking algorithm was applied to the observations and the simulations to evaluate the number, spatial extent, and microphysical properti

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