Relevant bibliographies by topics / Data Cube Technology

Contents

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

Academic literature on the topic 'Data Cube Technology'

Author: Grafiati
Published: 27 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Data Cube Technology"

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Huang, Xinyuan, Xiaoming Gao, Sida Ouyang, and Zhengbo Fu. "Image Data Stream Organization and Online Analysis Application Based on Data Cube Technology." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 10, 2024): 271–76. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-271-2024.

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Abstract. This study aims to explore the important role of data-like cube structures in modern remote sensing data processing and data analysis through ArcPy and Python multiprocessing techniques. A multi-scale spatial data cube is innovatively developed to improve the efficiency of remote sensing data management and optimize data analysis. The core of this study is to define and implement grid cells of different sizes that form the basis of data cube, and to quantify the efficient coverage of specific areas using Python multiprocessing techniques. Experiments were conducted in Hainan Province
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Picoli, M. C. A., R. Simoes, M. Chaves, et al. "CBERS DATA CUBE: A POWERFUL TECHNOLOGY FOR MAPPING AND MONITORING BRAZILIAN BIOMES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 533–39. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-533-2020.

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Abstract. Currently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an agreement on the minimum amount of corrections satellite images must convey in order to reach the broadest range of applications. Satellite imagery meeting such criteria (which usually include atmospheric, radiometric and topographic corrections) are generically called Analysis Ready Data (ARD). Furthermore, ARD is being assembled into mult
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Chang, Chih-Kai, Gwo-Dong Chen, and Kou-Liang Ou. "Student Portfolio Analysis by Data Cube Technology for Decision Support of Web-Based Classroom Teacher." Journal of Educational Computing Research 19, no. 3 (1998): 307–28. http://dx.doi.org/10.2190/k6x6-9fmd-yeen-kn42.

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As learners increasingly use Web-based distance learning systems over years, large amounts of learning logs are generated. An instructor needs analysis tools to manage the logs and discover patterns within them to help improve instruction. A variety of analysis tools, including descriptive statistics, statistical inference, prediction, etc., can be utilized to analyze the effects of a teaching strategy from the logs. However, logs of a Web server, as learners' portfolios, cannot satisfy the requirements of these analysis tools. To resolve this problem, a data cube model is proposed as the infr
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Asma, Lamani, Erraha Brahim, Elkyal Malika, and Sair Abdallah. "Data mining techniques application for prediction in OLAP cube." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 2094–102. https://doi.org/10.11591/ijece.v9i3.pp2094-2102.

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Data warehouses represent collections of data organized to support a process of decision support, and provide an appropriate solution for managing large volumes of data. OLAP online analytics is a technology that complements data warehouses to make data usable and understandable by users, by providing tools for visualization, exploration, and navigation of data-cubes. On the other hand, data mining allows the extraction of knowledge from data with different methods of description, classification, explanation and prediction. As part of this work, we propose new ways to improve existing approach
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Lamani, Asma, Brahim Erraha, Malika Elkyal, and Abdallah Sair. "Data mining techniques application for prediction in OLAP cube." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 2094. http://dx.doi.org/10.11591/ijece.v9i3.pp2094-2102.

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Data warehouses represent collections of data organized to support a process of decision support, and provide an appropriate solution for managing large volumes of data. OLAP online analytics is a technology that complements data warehouses to make data usable and understandable by users, by providing tools for visualization, exploration, and navigation of data-cubes. On the other hand, data mining allows the extraction of knowledge from data with different methods of description, classification, explanation and prediction. As part of this work, we propose new ways to improve existing approach
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Nabibayova, Gulnara. "Expanding the intellectual capabilities of OLAP technology using neural networks." Problems of Information Society 15, no. 2 (2024): 43–48. http://dx.doi.org/10.25045/jpis.v15.i2.05.

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The article highlights the main characteristics, features and structure of Online Analytical Processing systems based on the same technology that perform online analytical processing of data. This technology allows analysts to explore and navigate a multidimensional indicator structure called an online analytical processing cube (data cube). Indicators (measures) of data cube play an important role in the decision-making process. To solve certain problems, these measures often need to be classified or grouped. Moreover, empty measures are common in data cube. This fact negatively affects strat
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Tardío, Roberto, Alejandro Maté, and Juan Trujillo. "A New Big Data Benchmark for OLAP Cube Design Using Data Pre-Aggregation Techniques." Applied Sciences 10, no. 23 (2020): 8674. http://dx.doi.org/10.3390/app10238674.

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In recent years, several new technologies have enabled OLAP processing over Big Data sources. Among these technologies, we highlight those that allow data pre-aggregation because of their demonstrated performance in data querying. This is the case of Apache Kylin, a Hadoop based technology that supports sub-second queries over fact tables with billions of rows combined with ultra high cardinality dimensions. However, taking advantage of data pre-aggregation techniques to designing analytic models for Big Data OLAP is not a trivial task. It requires very advanced knowledge of the underlying tec
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Kopp, Steve, Peter Becker, Abhijit Doshi, Dawn J. Wright, Kaixi Zhang, and Hong Xu. "Achieving the Full Vision of Earth Observation Data Cubes." Data 4, no. 3 (2019): 94. http://dx.doi.org/10.3390/data4030094.

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Earth observation imagery have traditionally been expensive, difficult to find and access, and required specialized skills and software to transform imagery into actionable information. This has limited adoption by the broader science community. Changes in cost of imagery and changes in computing technology over the last decade have enabled a new approach for how to organize, analyze, and share Earth observation imagery, broadly referred to as a data cube. The vision and promise of image data cubes is to lower these hurdles and expand the user community by making analysis ready data readily ac
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Errattahi, Rahhal, Mohammed Fakir, and Fatima Zahra Salmam. "Explanation in OLAP Data Cubes." Journal of Information Technology Research 7, no. 4 (2014): 63–78. http://dx.doi.org/10.4018/jitr.2014100105.

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OLAP is an important technology that offers a fast and interactive data navigation, it also provides tools to explore data cubes in order to extract interesting information from a multidimensional data structures. However, the OLAP exploration is done manually, without tools that could automatically extract relevant information from the cube. In addition OLAP is not capable of explaining relationships that could exist within data. This paper presents a new approach to coupling between data mining and online analytical processing. Its approach provides the explanation in OLAP data cubes by usin
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Jabbar, Ayad. "Design and Develop an Information system for Court Data in the Republic of Iraq by using SSRS Reports with SSAS Cubes." Iraqi Journal for Electrical and Electronic Engineering 11, no. 1 (2015): 105–9. http://dx.doi.org/10.37917/ijeee.11.1.11.

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Multidimensional Online analytical processing (MOLAP) technology is considered a good tool to produce meaningful and quality results by using a multidimensional cube. The term “multidimensional cube” is used to refer to the multiple layers of data that are used to show the result. This result is identified by high-level management to increase the Iraqi court work and to improve its quality. The Iraqi court needs an analytical report to make a strategic decision on case date, case type, case state, judge, criminal age, and criminal gender. Currently, MOLAP is known as the best and strongest tec
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Dissertations / Theses on the topic "Data Cube Technology"

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Fu, Lixin. "CubiST++ a new approach to improving the performance of ad-hoc cube queries /." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/ank7110/masterfinal0.pdf.

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Thesis (Ph. D.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains x, 100 p.; also contains graphics. Vita. Includes bibliographical references (p. 95-99).
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Ahmed, Usman. "Dynamic cubing for hierarchical multidimensional data space." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00876624.

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Data warehouses are being used in many applications since quite a long time. Traditionally, new data in these warehouses is loaded through offline bulk updates which implies that latest data is not always available for analysis. This, however, is not acceptable in many modern applications (such as intelligent building, smart grid etc.) that require the latest data for decision making. These modern applications necessitate real-time fast atomic integration of incoming facts in data warehouse. Moreover, the data defining the analysis dimensions, stored in dimension tables of these warehouses, al
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Unal, Calargun Seda. "Fuzzy Association Rule Mining From Spatio-temporal Data: An Analysis Of Meteorological Data In Turkey." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609308/index.pdf.

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Data mining is the extraction of interesting non-trivial, implicit, previously unknown and potentially useful information or patterns from data in large databases. Association rule mining is a data mining method that seeks to discover associations among transactions encoded within a database. Data mining on spatio-temporal data takes into consideration the dynamics of spatially extended systems for which large amounts of spatial data exist, given that all real world spatial data exists in some temporal context. We need fuzzy sets in mining association rules from spatio-temporal databases since
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Bačík, Ladislav. "Využití GPU pro akcelerované zpracování obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235888.

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This master thesis deals with modern technologies in graphic hardware and using their for general purpose computing. It is primary focused on architecture of unified processors and algorithm implementation via CUDA programming interface. Thesis base is to choose suited algorithm for GPU horsepower demonstration. Main aim of this work is implementation of multiplatform library offering algorithms for discrete volumetric data vectorization. For this purpose was chosen algorithm Marching cubes that is able to find surface of processed object. In created library will be contained algorithm runnabl
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Books on the topic "Data Cube Technology"

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Alberto, Ferrari, Russo Marco, and ebrary Inc, eds. Expert cube development with Microsoft SQL Server 2008 Analysis Services: Design and implement fast, scalable, and maintainable cubes. Packt Publishing, 2009.

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“Data Mining Concepts & Techniques”. 3rd ed. Morgan Kaufmann Publishers, 2011.

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Wacks, Raymond. 6. The death of privacy? Oxford University Press, 2015. http://dx.doi.org/10.1093/actrade/9780198725947.003.0006.

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Privacy is under attack from several quarters. The ‘war on terror’ has amplified this pressure. The Internet, increased surveillance, and sensationalist journalism seriously undermine individuals’ control over their private lives. Many advocates believe that the protection of privacy stands in need of urgent renewal. Has the Internet sounded privacy’s death knell? The rapid advance of information technology, especially the Internet, has generated widespread concern about protection of personal data, with many jurisdictions adopting data protection legislation. Ironically, technology generates
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Book chapters on the topic "Data Cube Technology"

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Geffner, Steven, Divakant Agrawal, and Amr El Abbadi. "The Dynamic Data Cube." In Advances in Database Technology — EDBT 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46439-5_17.

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Liu, Wu, Donghong Sun, Ping Ren, and Haibin Xiong. "Path-Calculation-Based XML Data Cube Model." In Convergence and Hybrid Information Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32645-5_68.

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Saxena, Vipin, Vishal Verma, Versha Verma, and Karm Veer Singh. "Data Cube Technology for Accessing of Large Database." In Proceedings of Fifth International Conference on Computer and Communication Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9704-6_4.

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Shukla, Amit, Prasad M. Deshpande, and Jeffrey F. Naughton. "Materialized View Selection for Multi-cube Data Models." In Advances in Database Technology — EDBT 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46439-5_19.

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Cuzzocrea, Alfredo. "OLAP Data Cube Compression Techniques: A Ten-Year-Long History." In Future Generation Information Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17569-5_74.

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Kaur, Gursimran, and Harkiran Kaur. "Descriptive Data Analysis of Real Estate Using Cube Technology." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6001-5_18.

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Tan, Qinwen, and Huiming Tang. "In Situ Triaxial Creep Test on Gravelly Slip Zone Soil of a Giant Landslide: Innovative Attempts and Findings." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_9.

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AbstractIn recent years, numerous landslides catastrophes have occurred, generating considerable financial losses and other tolls. The deformational and mechanical properties of sliding zone soil would be of primary significance to landslide research, as the sliding zone basically controls the initiation and mobility of the landslide. An in situ triaxial test was carried out on a sample from the sliding zone of the Riverside Slump 1# landslide, a subdivision of the Huangtupo landslide in the Three Gorges area of China. The test results indicate that a. the sliding zone exhibits low compressibi
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Ahlstrøm, Kim, Katja Hose, and Torben Bach Pedersen. "Towards Answering Provenance-Enabled SPARQL Queries Over RDF Data Cubes." In Semantic Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50112-3_14.

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Weber, Anne, Daniele Moretti, Anna Eschbach-Dymanus, and Vahram Atayan. "Data(Researching—Compiling—Providing)cubed The Heidelberg Bibliography of Translations of Nonfictional Texts." In Übersetzungskulturen der Frühen Neuzeit. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-70483-7_6.

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Abstract In the context of the digital humanities (DH), online bibliographies are of specific interest because they both make use of and serve as digital tools. The Heidelberger Übersetzungsbibliographie (HÜB) (Heidelberg Bibliography of Translations of Nonfictional Texts) is one such database, focusing on German translations of Romance, Latin, English, and Dutch texts from the Early Modern Period (1450–1850). After a brief introduction to translation in that period (Sect. 6.1), we will discuss the role of modern bibliographies, and present our specific project aims as well as the current proj
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Saidi, Abdessamad, Mohamed Hadj Kacem, Imen Tounsi, and Ahmed Hadj Kacem. "Adopting the Internet of Things Technology to Remotely Monitor COVID-19 Patients." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09593-1_13.

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AbstractThe coronavirus known as COVID-19 is the topic of the hour all over the world. This virus has invaded the world with its invariants, which are characterized by their rapid spread. COVID-19 has impacted the health of people and the economy of countries. For that, laboratories, researchers, and doctors are in a race against time to find a cure for this pandemic. To combat this virus, cutting-edge technologies such as artificial intelligence, cloud computing, and big data have been put in place. In our work, we use Internet of Things (IoT) technology. The use of IoT in an efficient way ca
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Conference papers on the topic "Data Cube Technology"

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Ginting, Dewi Sartika Br, Syahril Efendi, Amalia, and Poltak Sihombing. "Cure-Sne Model Detects Outliers in Data to Optimize the Process of Clustering Using Representatives." In 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2024. https://doi.org/10.1109/icicyta64807.2024.10913289.

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Rick, Noles. "“The Weakest Link” & “HRCSA” Coatings Technology the Cost, Cause & Cure for Corrosion." In Coatings+ 2019. SSPC, 2019. https://doi.org/10.5006/s2019-00037.

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The “Weakest Link” on any structure is found at the nut and bolt assemblies. Nuts and bolts are found on every structure. “The fate of any complex steel assembly may be determined by the vulnerability of its smallest and least considered components”. “The bolts or fasteners holding the assembly together are often the areas where corrosion starts first and where the effects of corrosion may have the most serious consequences”. As crevice corrosion, similarly to pit corrosion, is to be taken extremely seriously as it is localized and found at all industrial sites. These localized areas are where
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Senkowski, E. Bud. "Coatings for Intolerant Situations How to Utilize Appropriate Technology to Coat Surfaces in Compromised Environments." In SSPC 2018. SSPC, 2018. https://doi.org/10.5006/s2018-00064.

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Abstract Over the past decade, coating manufacturers have made significant strides in the formulation of new products, utilizing new polymers and enhanced pigments that produce improvements in weatherability, corrosion protection, and ease of application, while improving compatibility with existing coatings, and offering enhanced physical, and thermal resistance. However, coating product data sheets typically portray anticipated coating performance under favorable laboratory conditions that may not reflect actual field conditions during surface cleaning and application operations. The followin
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Agarwala, Vinod S. "Aircraft Corrosion in the Military - Maintenance and Repair Issues." In CORROSION 1998. NACE International, 1998. https://doi.org/10.5006/c1998-98597.

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Abstract For military aircraft corrosion has always been a major concern. The extensive maintenance and repairs done for corrosion require a thought out scheme of maintenance and repair protocols for mission survival and readiness. However, these repairs are very expensive, time consuming and affect deployment in combat situations. Often, these are more than necessary in extent and type. It is simply because there is a lack of database or technology (knowledge of available technologies) which can determine the extent of corrosion damage when and where occurred. Present down sizing of the milit
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Wood, Kurt, Quentin Boulay, and Charles Weidner. "20 Year Colour Lifetimes for Architectural Restoration Coatings – Theory and Reality." In SSPC 2016 Greencoat. SSPC, 2016. https://doi.org/10.5006/s2016-00078.

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Abstract Highly engineered PVDF (polyvinylidene fluoride) based coatings have evolved over the years to meet the specific requirements of market segments. Over 50 years ago, high temperature-baked PVDF based finishes were introduced to the architectural community to protect the metal components of skyscrapers, stadiums, and other landmark structures. The multi-decade service life and extreme weatherability of these coatings is attested to by outdoor Florida exposure and demonstrated by performance on structures worldwide. Solvent borne “air-dry” PVDF systems for field applied touch-up, repair,
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Lawrence, Ben, Christopher Blanken, Colin Theodore, et al. "Effect of Control System Augmentation on Handling Qualities and Task Performance in Good and Degraded Visual Environments." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9514.

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In June 2013, NASA and the U.S. Army jointly conducted a simulation experiment in the NASA-Ames Vertical Motion Simulator that examined and quantified the effects of limited-authority control system augmentation on handling qualities and task performance in both good and degraded visual environments. The vehicle model used for the experiment was the OH-58D with similar size, weight and performance, and the same 4-blade rotor system as the Bell 407 civilian helicopter that is commonly used for medical evacuation and emergency medical services. The control systems investigated as part of this st
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Godase, Abhijeet, and Vahida Attar. "Classification of data streams with skewed distribution." In the CUBE International Information Technology Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2381716.2381769.

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Nagpal, Sushama, Anjana Gosain, and Sangeeta Sabharwal. "Complexity metric for multidimensional models for data warehouse." In the CUBE International Information Technology Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2381716.2381784.

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Rajesh, P., G. Narisimha, and Ch Rupa. "Fuzzy based privacy preserving classification of data streams." In the CUBE International Information Technology Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2381716.2381865.

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Dutta, Prasun, and Rituparna Chaki. "A survey of data mining applications in water quality management." In the CUBE International Information Technology Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2381716.2381805.

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Reports on the topic "Data Cube Technology"

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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