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Academic literature on the topic 'LN. Data base management systems'

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Published: 10 March 2023

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Journal articles on the topic "LN. Data base management systems"

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White, Richard. "Data Base Management Systems." Dermatologic Clinics 4, no. 4 (October 1986): 569–78. http://dx.doi.org/10.1016/s0733-8635(18)30786-1.

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Goldstein, Mitchell H. "Data base management systems." National Productivity Review 5, no. 2 (1986): 182–85. http://dx.doi.org/10.1002/npr.4040050212.

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Gibson, George E., and Lansford C. Bell. "Integrated Data‐Base Systems." Journal of Construction Engineering and Management 118, no. 1 (March 1992): 50–59. http://dx.doi.org/10.1061/(asce)0733-9364(1992)118:1(50).

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Pollard, Richard. "Data base management systems: The desk-top generation." Information Processing & Management 22, no. 6 (January 1986): 553–54. http://dx.doi.org/10.1016/0306-4573(86)90110-x.

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Wylder, John O. D. "DATA BASE MANAGEMENT THE NETWORK AS THE ENTERPRISE DATA BASE." Information Systems Management 12, no. 2 (January 1995): 64–66. http://dx.doi.org/10.1080/07399019508962974.

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Loh, Douglas K., and Edward J. Rykiel. "Integrated resource management systems: Coupling expert systems with data-base management and geographic information systems." Environmental Management 16, no. 2 (March 1992): 167–77. http://dx.doi.org/10.1007/bf02393822.

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Barot, Yashvi. "Data Base Management Systems Query Optimization Techniques for Distributed Database Systems." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 1535–39. http://dx.doi.org/10.22214/ijraset.2021.38654.

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Abstract: The fundamental goal of this postulation is to introduce various models for single also as numerous inquiry handling in the Distributed data set framework which brings about less question handling cost. One of the significant issues in the plan and execution of Distributed Information Base Management Systems (DDBMS) is productive inquiry handling. The objective of dispersed inquiry improvement decreases to minimization of measure of information to be communicated among destinations for handling a given inquiry. The issue of question handling in DDBS (1 1) has been concentrated broadly in writing. In the greater part of calculations, the capability of the question will contain a grouping of tasks. In such cases, while executing tasks from right to left, as per the request for tasks in arrangement, the aftereffect of an activity might be an operand to the next activity. Since the tasks are subject to each other, at a moment in particular one activity at one site will be executed despite the fact that the climate is dispersed. Then frameworks at any remaining locales will be inactive for this inquiry. Another model, Totally Reducible Relation Model (CRK Medel), which permits parallelism and processes numerous tasks all the while at all important locales is introduced. It is expected that the tasks are in the type of conjunctions. So every activity can be handled freely. In this model at some moment, relations at every single significant site will be totally diminished by relating sets of every appropriate activity (Determinations, Semijoins and Joins) all the while. Thus, every connection will be checked just a single time to deal with all appropriate tasks by decreasing VO cost.
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Park, G. J., and J. S. Arora. "Role of data base management in design optimization systems." Journal of Aircraft 24, no. 11 (November 1987): 745–50. http://dx.doi.org/10.2514/3.45516.

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Pollock, Richard J., and John D. McLaughlin. "Data‐Base Management System Technology and Geographic Information Systems." Journal of Surveying Engineering 117, no. 1 (February 1991): 9–26. http://dx.doi.org/10.1061/(asce)0733-9453(1991)117:1(9).

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Zhao, Longxiang, and Jiying Qin. "The catalog management strategy of distributed data base systems." Journal of Computer Science and Technology 9, no. 3 (July 1994): 193–203. http://dx.doi.org/10.1007/bf02939501.

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Dissertations / Theses on the topic "LN. Data base management systems"

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Saravanan, Mahesh. "Expressions as Data in Relational Data Base Management Systems." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/500.

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Numerous applications, such as publish/subscribe, website personalization, applications involving continuous queries, etc., require that user.s interest be persistently maintained and matched with the expected data. Conditional Expressions can be used to maintain user interests. This thesis focuses on the support for expression data type in relational database system, allowing storing of conditional expressions as .data. in columns of database tables and evaluating those expressions using an EVALUATE operator. With this context, expressions can be interpreted as descriptions, queries, and filters, and this significantly broadens the use of a relational database system to support new types of applications. The thesis presents an overview of the expression data type, storing the expressions, evaluating the stored expressions and shows how these applications can be easily supported with improved functionality. A sample application is also explained in order to show the importance of expressions in application context, with a comparison of the application with and without expressions.
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Laribi, Atika. "A protection model for distributed data base management systems." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53883.

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Security is important for Centralized Data Base Management Systems (CDBMS) and becomes crucial for Distributed Data Base Management Systems (DDBMS) when different organizations share information. Secure cooperation can be achieved only if each participating organization is assured that the data it makes available will not be abused by other users. In this work differences between CDBMS and DDBMS that characterize the nature of the protection problem in DDBMS are identified. These differences are translated into basic protection requirements. Policies that a distributed data base management protection system should allow are described. The system proposed in this work is powerful enough to satisfy the stated requirements and allow for variations on the policies. This system is a hybrid one where both authorizations and constraints can be defined. The system is termed hybrid because it combines features of both open and closed protection systems. In addition the hybrid system, although designed to offer the flexibility of discretionary systems, incorporates the flow control of information between users, a feature found only in some nondiscretionary systems. Furthermore, the proposed system is said to be integrated because authorizations and constraints can be defined on any of the data bases supported by the system including the data bases containing the authorizations, and the constraints themselves. The hybrid system is incorporated in a general model of DDBMS protection. A modular approach is taken for the design of the model. This approach allows us to represent the different options for the model depending on the set of policy choices taken. Three levels of abstraction describing different aspects of DDBMS protection problems are defined. The conceptual level describes the protection control of the DDBMS transactions and information flows. The logical level is concerned with the interaction between the different organizations participating in the DDBMS. The physical level is involved with the architectural implementation of the logical level.
Ph. D.
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Whelan, Peter Timothy. "CAD/CAM data base management systems requirements for mechanical parts." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/17692.

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Busack, Nancy Long. "The intelligent data object and its data base interface." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9825.

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Safigan, Steve J. "A transportable natural language front-end to data base management systems." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/44066.

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Although some success has been achieved in the design of front-end natural language processors to data base management systems, transporting the processor to various data base management systems has proven to be elusive. A transportable system must be modular; it must be able to adapt to radically different data domains; and it must be able to communicate with many different data managers. The system developed accomplishes this by maintaining its own knowledge base distinct from the target data base management system, so that no communication is needed between the natural language processor and the data manager during the parse. The knowledge base is developed by interviewing the system administrator about the structure and meaning of the elements in the target data base. The natural language processor then converts the natural language query into an unambiguous intermediate-language query, which is easily converted to P the target query language using simple syntactic methods.
Master of Science
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Chaudhuri, Jayasri. "Rules for mapping a conceptual model onto various data base management systems." Thesis, Aston University, 1988. http://publications.aston.ac.uk/10655/.

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The design and implementation of data bases involve, firstly, the formulation of a conceptual data model by systematic analysis of the structure and information requirements of the organisation for which the system is being designed; secondly, the logical mapping of this conceptual model onto the data structure of the target data base management system (DBMS); and thirdly, the physical mapping of this structured model into storage structures of the target DBMS. The accuracy of both the logical and physical mapping determine the performance of the resulting systems. This thesis describes research which develops software tools to facilitate the implementation of data bases. A conceptual model describing the information structure of a hospital is derived using the Entity-Relationship (E-R) approach and this model forms the basis for mapping onto the logical model. Rules are derived for automatically mapping the conceptual model onto relational and CODASYL types of data structures. Further algorithms are developed for partly automating the implementation of these models onto INGRES, MIMER and VAX-11 DBMS.
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Queiroz, Vieira Turnell M. de F. "A decision making aid system based on a small microprocessor." Thesis, University of Bradford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379855.

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Yu, Ye. "ULTRA-FAST AND MEMORY-EFFICIENT LOOKUPS FOR CLOUD, NETWORKED SYSTEMS, AND MASSIVE DATA MANAGEMENT." UKnowledge, 2018. https://uknowledge.uky.edu/cs_etds/68.

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Systems that process big data (e.g., high-traffic networks and large-scale storage) prefer data structures and algorithms with small memory and fast processing speed. Efficient and fast algorithms play an essential role in system design, despite the improvement of hardware. This dissertation is organized around a novel algorithm called Othello Hashing. Othello Hashing supports ultra-fast and memory-efficient key-value lookup, and it fits the requirements of the core algorithms of many large-scale systems and big data applications. Using Othello hashing, combined with domain expertise in cloud, computer networks, big data, and bioinformatics, I developed the following applications that resolve several major challenges in the area. Concise: Forwarding Information Base. A Forwarding Information Base is a data structure used by the data plane of a forwarding device to determine the proper forwarding actions for packets. The polymorphic property of Othello Hashing the separation of its query and control functionalities, which is a perfect match to the programmable networks such as Software Defined Networks. Using Othello Hashing, we built a fast and scalable FIB named \textit{Concise}. Extensive evaluation results on three different platforms show that Concise outperforms other FIB designs. SDLB: Cloud Load Balancer. In a cloud network, the layer-4 load balancer servers is a device that acts as a reverse proxy and distributes network or application traffic across a number of servers. We built a software load balancer with Othello Hashing techniques named SDLB. SDLB is able to accomplish two functionalities of the SDLB using one Othello query: to find the designated server for packets of ongoing sessions and to distribute new or session-free packets. MetaOthello: Taxonomic Classification of Metagenomic Sequences. Metagenomic read classification is a critical step in the identification and quantification of microbial species sampled by high-throughput sequencing. Due to the growing popularity of metagenomic data in both basic science and clinical applications, as well as the increasing volume of data being generated, efficient and accurate algorithms are in high demand. We built a system to support efficient classification of taxonomic sequences using its k-mer signatures. SeqOthello: RNA-seq Sequence Search Engine. Advances in the study of functional genomics produced a vast supply of RNA-seq datasets. However, how to quickly query and extract information from sequencing resources remains a challenging problem and has been the bottleneck for the broader dissemination of sequencing efforts. The challenge resides in both the sheer volume of the data and its nature of unstructured representation. Using the Othello Hashing techniques, we built the SeqOthello sequence search engine. SeqOthello is a reference-free, alignment-free, and parameter-free sequence search system that supports arbitrary sequence query against large collections of RNA-seq experiments, which enables large-scale integrative studies using sequence-level data.
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Khan, Abdullah. "An investigation into improving the functioning of manufacturing executions system at the Impala base metals refinery." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/6408.

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Wang, Yufei 1981. "An analysis of different data base structures and management systems on Clickstream data collected for advocacy based marketing strategies experiments for Intel and GM." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33387.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaves 82-83).
Marketing on the Internet is the next big field in marketing research. Clickstream data is a great contribution to analyze the effects of advocacy based marketing strategies. Handling Clickstream data becomes a big issue. This paper will look at the problems caused by Clickstream data from a database perspective and consider several theories to alleviate the difficulties. Applications of modern database optimization techniques will be discussed and this paper will detail the implementation of these techniques for the Intel and GM project.
by Yufei Wang.
M.Eng.and S.B.
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Books on the topic "LN. Data base management systems"

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Cardenas, Alfonso F. Data base management systems. 2nd ed. Boston: Allyn and Bacon, 1985.

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Data base management systems. 2nd ed. Dubuque, Iowa: Wm.C. Brown, 1989.

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Understanding data base management systems. Belmont, Calif: Wadsworth Pub. Co., 1985.

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Neal, Shirley. Data base management systems in business. Englewood Cliffs, N.J: Prentice-Hall, 1986.

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Kruglinski, David. Data base management systems: MS-DOSR: evaluating MS-DOS data base software. Berkeley, Calif: Osborne/McGraw-Hill, 1986.

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Khouzani, Mohammad Salavati. Data base management systems: Evaluation and selection. Freiburg: Hochschulverlag, 1988.

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Banet, Bernard A. Data base management systems: The desk-top generation. New York: McGraw-Hill, 1985.

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E, Jones Paul, ed. Logical data base design. 2nd ed. Wellesley, Mass: QED Information Sciences, 1988.

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Michael, Stonebraker, ed. Readings in database systems. San Mateo, Calif: Morgan Kaufmann Publishers, 1988.

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Desai, Bipin C. An introduction to database systems. St. Paul: West Pub. Co., 1990.

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Book chapters on the topic "LN. Data base management systems"

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Heather, M. A., and B. N. Rossiter. "The Text Environment and Data Base Management Systems." In Empirical Foundations of Information and Software Science III, 45–62. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1895-8_6.

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Karagiannis, Dimitris, and Hans-Jochen Schneider. "Data- and Knowledge- Base Management Systems for Decision Support." In Decision Support Systems: Theory and Application, 55–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83088-4_3.

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Groth, Torgny. "Data Base Management and Knowledge-Based Systems in Clinical Laboratory Medicine." In Laboratory Data and Patient Care, 101–8. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4757-0351-1_14.

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van Aalst, Jan-Willem, Bart van Leeuwen, and Rob Peters. "Using a Base Registry Key in Disaster Information Management: A Dutch Case Study on Linked Data." In Intelligent Systems for Crisis Management, 357–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33218-0_27.

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Bode, Thomas, Armin B. Cremers, Jürgen Freitag, and Thomas Lemke. "Coupling the Complex-Relational Data Base CoReDB with the Object Management System OMS." In Database and Expert Systems Applications, 208–14. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_34.

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Shi, Meie. "Remote Digital Management Resource Base Mode Based on Cloud Computing." In 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems, 1551–56. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1726-3_204.

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Schreiter, Dieter. "Classes of Utilization of Data Base Management Systems in a Hospital Information System." In Medical Informatics Europe 85, 802. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-93295-3_175.

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Jensen, Søren Kejser, Christian Thomsen, and Torben Bach Pedersen. "ModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud." In Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII, 1–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66863-4_1.

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AbstractTo ensure critical infrastructure is operating as expected, high-quality sensors are increasingly installed. However, due to the enormous amounts of high-frequency time series they produce, it is impossible or infeasible to transfer or even store these time series in the cloud when using state-of-the-practice compression methods. Thus, simple aggregates, e.g., 1–10-minutes averages, are stored instead of the raw time series. However, by only storing these simple aggregates, informative outliers and fluctuations are lost. Many Time Series Management System (TSMS) have been proposed to efficiently manage time series, but they are generally designed for either the edge or the cloud. In this paper, we describe a new version of the open-source model-based TSMS ModelarDB. The system is designed to be modular and the same binary can be efficiently deployed on the edge and in the cloud. It also supports continuously transferring high-frequency time series compressed using models from the edge to the cloud. We first provide an overview of ModelarDB, analyze the requirements and limitations of the edge, and evaluate existing query engines and data stores for use on the edge. Then, we describe how ModelarDB has been extended to efficiently manage time series on the edge, a novel file-based data store, how ModelarDB’s compression has been improved by not storing time series that can be derived from base time series, and how ModelarDB transfers high-frequency time series from the edge to the cloud. As the work that led to ModelarDB began in 2015, we also reflect on the lessons learned while developing it.
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Garrido Izard, Miguel. "Telemetry and farm fleet management." In Manuali – Scienze Tecnologiche, 31. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.31.

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Nowadays farm machinery is incorporating new subsystems for the interchange of data between different mobile equipment and also with the base office. Such systems allow to know in real time basic information about how tasks are being performed in the field (where each tractor and machine is located, surface coverage, dose applied, fuel usage, etc. ) but also allow proper synchronization between machines working together (such a combine and a set of supporting trucks). The analysis and management of this information is important for the optimization of field tasks.
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Martinez Guanter, Jorge. "Software for Farmers - FMIS." In Manuali – Scienze Tecnologiche, 56. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.56.

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Soil and crops, as biosystems, are heterogeneous and can present (or not) high variability. To properly manages then information is required. In this respect, the latest advances in computing and electronics applied to agricultural have allowed collecting a large amount of farm-related data. However, data can only add value to the farmer if it is transformed into a knowledge base for them. The adoption of a Farm Management Information Systems (FMIS) enables farm-decision makers (farmer, agricultural technician…) better management of the farm and all resources.
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Conference papers on the topic "LN. Data base management systems"

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Rabai, Latifa Ben Arfa. "Data base management systems trends." In the Second Kuwait Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2107556.2107563.

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Correa, Estuardo, Esteban Inga, Juan Inga, and Roberto Hincapie. "Electrical Consumption Pattern Base on Meter Data Management System Using Big Data Techniques." In 2017 International Conference on Information Systems and Computer Science (INCISCOS). IEEE, 2017. http://dx.doi.org/10.1109/inciscos.2017.19.

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Li, Han-lin. "To Develop A Data-Knowledge Base Management System By Utilizing Relational Database Management Systems." In 1986 International Symposium/Innsbruck, edited by John F. Gilmore. SPIE, 1987. http://dx.doi.org/10.1117/12.938496.

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Suman, Saurabh, and Yogendra Singh Kushwah. "Design Optimization of Two-Wheeler Radiator with the Base Design Using the Mathematical Modelling Tools & amp; Testing Data." In Thermal Management Systems Conference 2021. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-28-0136.

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Borchers, Hans, and Harshavardhan Karandikar. "A Data Warehouse Approach for Estimating and Characterizing the Installed Base of Industrial Products." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320588.

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Guo, Weisen, and Steven B. Kraines. "Enriching city entities in the EKOSS failure cases knowledge base with Linked Open Data." In 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM). IEEE, 2010. http://dx.doi.org/10.1109/cisim.2010.5643505.

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Rothenho¨fer, Horst, Friedrich Scho¨ckle, and Gu¨nter Ko¨nig. "How a Knowledge Data Base Assists the Process of Aging Management." In ASME 2011 Pressure Vessels and Piping Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/pvp2011-57895.

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The process of aging management in a nuclear power plant requires collaborative work of different departments. In this process information has to be gathered and evaluated systematically. At the beginning of the process it is important to classify all systems, structures and components (SSCs) into 3 categories of descending importance concerning safety where only the first two categories have to be considered for aging management. Basic information on the material and dimensions, operational parameters, quality status, analysis reports and relevant degradation mechanisms is stored in the data base for all SSCs of category 1 and 2. While a nuclear power plant is in service numerous events may occur which are related to aging and may have an influence on the quality of SSCs. Relevant events may be malfunction messages, maintenance results, operational experience, results of surveillance or events in external installations. It is important to evaluate these events concerning the aspect of aging and to decide which measures are required to prevent unexpected events of the same kind in the future. In some cases the new experience has to be assigned to comparable SSCs. These evaluations, the definition of measures and the tracking of their effectiveness have to be done by an aging management team that meets regularly every 3 months. The knowledge data base supports the application of the PDCA cycle and provides an overview and fast access to all quality documents related to each SSC including surveillance measures and results. It simplifies the generation of annual status reports which are valuable quality documents that reveal the effectiveness of aging management. Finally the procedure can be extended to SSCs which are important for the availability of the plant and thus take a step forward from aging management to plant life management.
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Oparin, G. A., V. G. Bogdanova, and A. A. Pashinin. "Automation of distributed data management in applied microservices package for scientific computations." In The International Workshop on Information, Computation, and Control Systems for Distributed Environments. Crossref, 2020. http://dx.doi.org/10.47350/iccs-de.2020.20.

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We offer a specialized toolkit for automating both knowledge management when creating an applied microservices package and data accumulating during its application for scientific computations in a hybrid computing environment. The decentralized solving of the declaratively formulated problem is carried out by an active agent group. This group is self-organized by logical inference on the distributed knowledge base of a subject domain. The developed toolkit automates the creating and updating of the local knowledge base of the manager-agent of applied microservices package, as well as the local knowledge bases of distributed computational agents. Local knowledge bases are formed using a description of the interface of computational microservices managed by these agents. Microservice ensembles, corresponding to the active group, are stored in the knowledge base of the manager-agent. The developed toolkit uses this information for testing microservice in the case of its update. In hybrid computing, this toolkit provides synchronizing, archiving, and saving of calculated data. Hybrid infrastructure combines the reliability and availability of using on-premises computers with scaling to the cloud when peak loads occur. The conducted experiments confirmed the effectiveness of the presented approach for solving practically significant scientific problems.
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Verenych, Olena, Olena Sharovara, Mariia Dorosh, Mariia Voitsekhovska, Nataliia Yehorchenkova, and Iryna Golyash. "Awareness Management of Stakeholders During Project Implementation on the Base of the Markov Chain." In 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2019. http://dx.doi.org/10.1109/idaacs.2019.8924375.

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Gacke, Dennis E. "Integrated Configuration/Design Data Management System." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/edm1992-0135.

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Abstract With the increased use of computer-aided engineering tools in the development of weapons systems hardware and software, the design of these systems is now represented by a series of design (CAD - computer-aided design/CASE - computer-aided software engineering) data bases as opposed to a collection of documents, listings and drawings. These design data bases are the design masters and other design information can be derived from the data bases via selected automation tools. Effective and efficient design data management is key to the transition of the design information to the factory or the field. The effective management of these electronic “design objects” requires the tight coupling of the design data bases with the configuration identification/management data base. This design management data base, in addition to controlling the system/product definition and configuration, can be thought of as the data dictionary for the design information (the design data base as well as its derived outputs). Electronic and Information System Group (EISG) Paramax Systems Corporation is in the process of developing an integrated system/product configuration management and design data management system. This system will utilize optical storage, imaging, networking, and relational data base technologies: and “open system” architecture and commercial off-the-shelf components. It will also serve as a platform for supporting the government’s computer-aided acquisition and logistics support (CALS)/contractor integrated technical information services (CITIS) initiatives.
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Reports on the topic "LN. Data base management systems"

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Bonnell, G. W. Computer course C709 - data base management systems and visit report - CANMET, Ottawa. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304861.

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Sawyer, W. Management Information Base for Data Over Cable Service Interface Specification (DOCSIS) Cable Modem Termination Systems for Subscriber Management. RFC Editor, April 2005. http://dx.doi.org/10.17487/rfc4036.

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Ahmad, A., and G. Nakanishi. Event Notification Management Information Base for Data over Cable Service Interface Specifications (DOCSIS)-Compliant Cable Modems and Cable Modem Termination Systems. RFC Editor, June 2006. http://dx.doi.org/10.17487/rfc4547.

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Woundy, R., and K. Marez. Cable Device Management Information Base for Data-Over-Cable Service Interface Specification (DOCSIS) Compliant Cable Modems and Cable Modem Termination Systems. RFC Editor, December 2006. http://dx.doi.org/10.17487/rfc4639.

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Green, S., K. Ozawa, and A. Katsnelson. Management Information Base for Data Over Cable Service Interface Specification (DOCSIS) Cable Modems and Cable Modem Termination Systems for Baseline Privacy Plus. Edited by E. Cardona. RFC Editor, September 2005. http://dx.doi.org/10.17487/rfc4131.

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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management system and COGNOS Corporations POWERHOUSE 4th generation language. This paper addresses the need for, and the advantages of using a strong engineering approach to data modeling and describes the use of the NIAM methodology in NGIS development. The paper identifies the relationship between the data mode!, data structures, the design and development of a database and the use of automated tools for systems development. In conclusion, critical success factors for the continuation of the N.G.I.S. developments are identified and the benefits that will accrue are enumerated.
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Lucas, Brian. Urban Flood Risks, Impacts, and Management in Nigeria. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/k4d.2021.018.

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This summary reviews evidence on the urban flooding impact, risk factors, and management and mitigation measures in Lagos and other cities in Nigeria. Flooding is a common problem every year in many cities across Nigeria, but the impacts of flooding are poorly documented. There is no consistent set of statistics at a national or sub-national level that can be used to compare the impacts of flooding across cities, and reports that focus on particular flood events are often incomplete. The literature notes the principal factors contributing to flood risk including uncontrolled urban growth, inadequate and poorly-maintained drainage systems, solid waste management practices, weakness in institutional capacity and coordination, and warning systems and public awareness. The evidence base for flood impacts, risks, and mitigation efforts at the city level in Nigeria is limited, and much of the information available is low quality, inconsistent, or outdated. Many rely on surveys of city residents rather than objective empirical data, and some of these surveys appear to be poorly designed. A significant number of the academic publications available have been published in non-mainstream journals without the usual level of academic peer review. Recent information is scarce, and a significant amount of the available evidence dates from 2011 and 2012, which coincides with an episode of nationwide flooding that was among the worst in Nigeria’s history.
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Brinkerhoff, Derick W., Sarah Frazer, and Lisa McGregor-Mirghani. Adapting to Learn and Learning to Adapt: Practical Insights from International Development Projects. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.

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Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes thinking to consider the complexity of development problems and nonlinear change pathways.Supportive management structures and processes are crucial for fostering adaptive management. Implementers and donors are experimenting with how procurement, contracting, work planning, and reporting can be modified to foster adaptive programming. Well-designed monitoring, evaluation, and learning systems can go beyond meeting accountability and reporting requirements to produce data and learning for evidence-based decision making and adaptive management. It is important to continue experimenting and learning to integrate adaptive programming and management into the operational policies and practices of donor agencies, country partners, and implementers. We need to devote ongoing effort to build the evidence base for the contributions of adaptive management to achieving international development results.
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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, February 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, control, structure and crop). 2. Using these models, develop algorithms for an early detection of deviations from the normal. 3. Develop identifying procedures for the most important faults. 4. Develop accommodation procedures while awaiting a repair. The Technion team focused on the shoot environment and the Cornell University team focused on the root environment. Achievements Models: Accurate models were developed for both shoot and root environment in the greenhouse, utilizing neural networks, sometimes combined with robust physical models (hybrid models). Suitable adaptation methods were also successfully developed. The accuracy was sufficient to allow detection of frequently occurring sensor and equipment faults from common measurements. A large data base, covering a wide range of weather conditions, is required for best results. This data base can be created from in-situ routine measurements. Detection and isolation: A robust detection and isolation (formerly referred to as 'identification') method has been developed, which is capable of separating the effect of faults from model inaccuracies and disturbance effects. Sensor and equipment faults: Good detection capabilities have been demonstrated for sensor and equipment failures in both the shoot and root environment. Water stress detection: An excitation method of the shoot environment has been developed, which successfully detected water stress, as soon as the transpiration rate dropped from its normal level. Due to unavailability of suitable monitoring equipment for the root environment, crop faults could not be detected from measurements in the root zone. Dust: The effect of screen clogging by dust has been quantified. Implications Sensor and equipment fault detection and isolation is at a stage where it could be introduced into well equipped and maintained commercial greenhouses on a trial basis. Detection of crop problems requires further work. Dr. Peleg was primarily responsible for developing and implementing the innovative data analysis tools. The cooperation was particularly enhanced by Dr. Peleg's three summer sabbaticals at the ARS, Northem Plains Agricultural Research Laboratory, in Sidney, Montana. Switching from multi-band to hyperspectral remote sensing technology during the last 2 years of the project was advantageous by expanding the scope of detected plant growth attributes e.g. Yield, Leaf Nitrate, Biomass and Sugar Content of sugar beets. However, it disrupted the continuity of the project which was originally planned on a 2 year crop rotation cycle of sugar beets and multiple crops (com and wheat), as commonly planted in eastern Montana. Consequently, at the end of the second year we submitted a continuation BARD proposal which was turned down for funding. This severely hampered our ability to validate our findings as originally planned in a 4-year crop rotation cycle. Thankfully, BARD consented to our request for a one year extension of the project without additional funding. This enabled us to develop most of the methodology for implementing and running the hyperspectral remote sensing system and develop the new analytical tools for solving the non-repeatability problem and analyzing the huge hyperspectral image cube datasets. However, without validation of these tools over a ful14-year crop rotation cycle this project shall remain essentially unfinished. Should the findings of this report prompt the BARD management to encourage us to resubmit our continuation research proposal, we shall be happy to do so.
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Weissinger, Rebecca. Trends in water quality at Bryce Canyon National Park, water years 2006–2021. Edited by Alice Wondrak Biel. National Park Service, November 2022. http://dx.doi.org/10.36967/2294946.

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The National Park Service collects water-quality samples on a rotating basis at three fixed water-quality stations in Bryce Canyon National Park (NP): Sheep Creek, Yellow Creek, and Mossy Cave Spring. Data collection began at Sheep Creek and Yellow Creek in November 2005 and at Mossy Cave in July 2008. Data on in-situ parameters, fecal-coliform samples, major ions, and nutrients are collected monthly, while trace elements are sampled quarterly. This report analyzes data from the beginning of the period of record for each station through water year 2021 to test for trends over time. Concentrations are also compared to relevant water-quality standards for the State of Utah. Overall, water quality at the park’s monitoring stations continues to be excellent, and park managers have been successful in their goal of maintaining these systems in unimpaired condition. Infrequent but continued Escherichia coli exceedances from trespass livestock at Sheep and Yellow creeks support the need for regular fence maintenance along the park boundary. High-quality conditions may qualify all three sites as Category 1 waters, the highest level of anti-degradation protection provided by the State of Utah. Minimum and maximum air temperatures at the park have increased, while precipitation remains highly variable. Increasing air temperatures have led to increasing water temperatures in Sheep and Yellow creeks. Sheep Creek also had a decrease in flow across several quantiles from 2006 to 2021, while higher flows decreased at Yellow Creek in the same period. Surface flows in these two creeks are likely to be increasingly affected by higher evapotranspiration due to warming air temperatures and possibly decreasing snowmelt runoff as the climate changes. The influx of ancient groundwater in both creek drainages helps sustain base flows at the sites. Mossy Cave Spring, which is sampled close to the spring emergence point, showed less of a climate signal than Sheep and Yellow creeks. In our record, the spring shows a modest increase in discharge, including higher flows at higher air temperatures. An uptick in visitation to Water Canyon and the Mossy Cave Trail has so far not been reflected by changes in water quality. There are additional statistical trends in water-quality parameters at all three sites. However, most of these trends are quite small and are likely ecologically negligible. Some statistical trends may be the result of instrument changes and improvements in quality assurance and quality control over time in both the field sampling effort and the laboratory analyses. Long-term monitoring of water-quality stations at Bryce Canyon NP suggests relatively stable aquatic systems that benefit from protection within the park. To maintain these unimpaired conditions into the future, park managers could consider: Regular fence checks and maintenance along active grazing allotments at the park boundary to protect riparian areas and aquatic systems from trespass livestock. Developing a springs-monitoring program to track changes in springflow at spring emergences to better understand bedrock-aquifer water supplies. These data would also help quantify springflow for use in water-rights hearings. Supporting hydrogeologic investigations to map the extent and flow paths of groundwater aquifers. Working with the State of Utah to develop groundwater-protection zones to protect groundwater aquifers from developments that would affect springs in the park. Prioritizing watershed management with proactive fire risk-reduction practices. Explicitly including watershed protection as a goal in plans for fire management and suppression. Using additional data and analyses to better understand the drivers of trends in water quality and their ecological significance. These could include higher-frequency data to better understand relationships between groundwater, precipitation, and surface flows at the sites. These could also include watershed metrics...
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