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Journal articles on the topic 'Database system'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Htway, Aye Thandar, and Aye Wint Mon. "Database System in Automatic Billing for Supermarket." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 845–48. http://dx.doi.org/10.31142/ijtsrd19104.

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2

Murphy, J. A., and R. M. Wieland. "LOCUS database system." Review of Scientific Instruments 59, no. 8 (August 1988): 1780–82. http://dx.doi.org/10.1063/1.1140110.

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3

YAJIMA, Souichi. "Drilling Database System." Geoinformatics 1, no. 1 (1990): 143–46. http://dx.doi.org/10.6010/geoinformatics1990.1.1_143.

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4

Ozsoyoglu, Z. Meral, Joseph H. Nadeau, and G. Ozsoyoglu. "Pathways Database System." OMICS: A Journal of Integrative Biology 7, no. 1 (January 2003): 123–25. http://dx.doi.org/10.1089/153623103322006779.

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5

Lam, H., S. Y. W. Su, and N. R. Koganti. "A physical database design evaluation system for CODASYL databases." IEEE Transactions on Software Engineering 14, no. 7 (July 1988): 1010–22. http://dx.doi.org/10.1109/32.42741.

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6

Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.114513.

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Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.10035961.

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Lubis, Arif Ridho, Ferry Fachrizal, and Halim Maulana. "Database Management Optimization Using PostgreSQL Replication Database in Database System." Advanced Science Letters 23, no. 5 (May 1, 2017): 4132–35. http://dx.doi.org/10.1166/asl.2017.8286.

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9

YAMAMOTO, Yoneo, Akihiro KASHIHARA, and Keisuke KAWAGISHI. "Personal database management system. II. CAI system with personal database: OSCAR." Journal of Information Processing and Management 30, no. 12 (1988): 1151–59. http://dx.doi.org/10.1241/johokanri.30.1151.

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10

Stazić, Ladislav, Ivan Komar, and Nikola Račić. "Evaluation Methodology for Ship’s Planned Maintenance System Database." Transactions on Maritime Science 6, no. 2 (October 21, 2017): 109–16. http://dx.doi.org/10.7225/toms.v06.n02.002.

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The paper describes an evaluation methodology for ship’s Planned Maintenance System database based on the application of a newly created questionnaire and the analysis of the evaluation results received by the questionnaire. The evaluation results of several databases and the analysis of evaluation results are also shown in the paper. The main purpose of the paper is to provide a simple and useful tool for the evaluation of all ships’ Planned Maintenance System databases, which will enable users to examine the data in the database and discover the areas where the database and maintenance can and must be improved. The expected outcome of the described methodology for the evaluation of ship’s Planned Maintenance System database can be described as: - Evaluating ship’s Planned Maintenance System database- Performing ship’s Planned Maintenance System database diagnostics to indicate insufficiencies- Determining the area and mode for ship’s Planned Maintenance System database quality improvement and, consequently, overall improvement of the maintenance and reliability of ships’ systems,- Setting up a standard for the development and evaluation of computerized database for ship’s planned maintenance,- Determining problems which occur during database development and describing complexity of the development process.

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M. Darwish, Saad. "Semantic Database Compression System Based on Augmented Vector Quantization." Journal of Software 10, no. 10 (October 2015): 1127–39. http://dx.doi.org/10.17706//jsw.10.10.1127-113.

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12

Sharmila, Sharmila, and Anusya Anusya. "Database Design for Scheduling System using Normalization and SQL." Paripex - Indian Journal Of Research 3, no. 7 (January 1, 2012): 1–4. http://dx.doi.org/10.15373/22501991/july2014/25.

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13

Dařena, František. "Database system selection for marketing strategies support in information systems." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 55, no. 6 (2007): 43–54. http://dx.doi.org/10.11118/actaun200755060043.

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In today’s dynamically changing environment marketing has a significant role. Creating successful marketing strategies requires large amount of high quality information of various kinds and data types. A powerful database management system is a necessary condition for marketing strategies creation support. The paper briefly describes the field of marketing strategies and specifies the features that should be provided by database systems in connection with these strategies support. Major commercial (Oracle, DB2, MS SQL, Sybase) and open-source (PostgreSQL, MySQL, Firebird) databases are than examined from the point of view of accordance with these characteristics and their comparison in made. The results are useful for making the decision before acquisition of a database system during information system’s hardware architecture specification.

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14

Khalil, Omar Kassem, Aissa Boudjella, and Brahim Belhouari Samir. "Comparison between Normalized Databases Implemented with Different Database Systems." Advanced Materials Research 774-776 (September 2013): 1827–32. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1827.

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This paper compares different levels of database normalization process in terms of anomalies removal and storage reduction. Several databases have been normalized up to Third Normal Form (1NF, 2NF and 3NF) in order to investigate the influence of the normalization on the database performance. They are implemented separately with different database systems such as MS Access, SQL Server and Oracle. The percentage of storage reduction and data anomalies are investigated for every normal form and database system. The results show that the data storage is significantly reduced over unnormalized database, approximately between 20 to 30% for 1NF flattening tables and 1NF decomposing table, and between (15% - 22%) and (9% - 22%) for 2NF and 3NF, respectively. The removal of the majority of anomalies is observed in the first normal form while fewer anomalies are removed in the next higher normal forms. For the same database implemented, the comparison between three different database systems shows approximately the same results with slight differences. These differences may be due to the nature, the size of the constraints and metadata on each database system.

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15

Sharma, Yashraj, and Yashasvi Sharma. "CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM." International Journal of Research -GRANTHAALAYAH 7, no. 7 (July 31, 2019): 351–59. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.777.

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On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also some features of relational database management system. The severe benefit of NoSQL database is that it is an open source system which helps to adapt many numbers of features for newly generated applications. This paper is focused on understanding the concepts of non-relational database system architecture with relational database system architecture and figure out the advantages and disadvantages of both simultaneously.

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16

HOSAIN, MD SHAZZAD, and MUHAMMAD ABDUL HAKIM NEWTON. "MULTI-KEY INDEX FOR DISTRIBUTED DATABASE SYSTEM." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (April 2005): 433–38. http://dx.doi.org/10.1142/s0218194005002075.

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In this paper we present a multi-key index model that enables us to search a record with more than one attribute values in distributed database systems. Indices provide fast and efficient access of data and so become a major aspect in centralized database systems. Most of the centralized database systems use B + tree or other types of index structures such as bit vector, graph structure, grid file etc. But in distributed database systems no index model is found in the literature. Therefore efficient access is a major problem in distributed databases. Our proposed index model avoids the query-flooding problem of existing system and thus optimizes network bandwidth.

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17

Xu, Jiao-jin. "User Database System Generation." IFAC Proceedings Volumes 18, no. 9 (August 1985): 203–5. http://dx.doi.org/10.1016/s1474-6670(17)60285-4.

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18

van Haren, P. C. "The DOM4 database system." Computers in Physics 7, no. 6 (1993): 701. http://dx.doi.org/10.1063/1.168478.

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19

YAGUCHI, Manabu. "Factual database system "ChemSource"." Journal of Information Processing and Management 40, no. 11 (1998): 1020–30. http://dx.doi.org/10.1241/johokanri.40.1020.

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20

Böhlen, Michael H. "Temporal database system implementations." ACM SIGMOD Record 24, no. 4 (December 1995): 53–60. http://dx.doi.org/10.1145/219713.219758.

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21

Elliott, B., M. Kirac, A. Cakmak, G. Yavas, S. Mayes, E. Cheng, Y. Wang, C. Gupta, G. Ozsoyoglu, and Z. Meral Ozsoyoglu. "PathCase: pathways database system." Bioinformatics 24, no. 21 (August 26, 2008): 2526–33. http://dx.doi.org/10.1093/bioinformatics/btn459.

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22

Zaror, Claudio A. "FoxPro database management system." Trends in Food Science & Technology 2 (January 1991): 103–4. http://dx.doi.org/10.1016/0924-2244(91)90639-z.

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23

Dogac, Asuman, Ugur Halici, Ebru Kilic, Gokhan Ozhan, Fatma Ozcan, Sena Nural, Cevdet Dengi, et al. "METU interoperable database system." ACM SIGMOD Record 25, no. 2 (June 1996): 552. http://dx.doi.org/10.1145/235968.280358.

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24

Dogac, A., C. Dengi, E. Kilic, G. Ozhan, F. Ozcan, S. Nural, C. Evrendilek, et al. "METU interoperable database system." ACM SIGMOD Record 24, no. 3 (September 1995): 56–61. http://dx.doi.org/10.1145/211990.212017.

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25

Lamb, Charles, Gordon Landis, Jack Orenstein, and Dan Weinreb. "The ObjectStore database system." Communications of the ACM 34, no. 10 (October 1991): 50–63. http://dx.doi.org/10.1145/125223.125244.

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26

Kent, Bill, Peter Lyngback, Samir Mathur, and Kevin Wilkinson. "The Iris database system." ACM SIGMOD Record 19, no. 2 (May 1990): 392. http://dx.doi.org/10.1145/93605.98752.

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27

Adeva, B., P. Bagnaia, S. Banerjee, L. Barone, D. Boutigny, F. Bruyant, P. Cardenal, et al. "The L3 database system." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 309, no. 1-2 (November 1991): 318–30. http://dx.doi.org/10.1016/0168-9002(91)90117-9.

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28

Ferrin, Thomas E., Conrad C. Huang, Laurie E. Jarvis, and Robert Langridge. "The MIDAS database system." Journal of Molecular Graphics 6, no. 1 (March 1988): 2–12. http://dx.doi.org/10.1016/0263-7855(88)80053-5.

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29

Miftakul Amin, M., Andino Maseleno, Shankar K, Eswaran Perumal, R. M Vidhyavathi, and Lakshmanaprabu SK. "Active Database System Approach and Rule Based in the Development of Academic Information System." International Journal of Engineering & Technology 7, no. 2.26 (May 7, 2018): 95. http://dx.doi.org/10.14419/ijet.v7i2.26.14361.

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Active database system is a database system which is capable of generating a certain action automatically if it detects an event that meets certain conditions. The existence of Event Condition Action (ECA) rules and functional components such as triggers, stored procedures, and stored functions that are owned by active database system make the database system has the ability to automatically monitor input and output data. Separation of ECA rules components in the database with the application program will also facilitate the development of information systems. This research applies active database system in academic information system, so that academic business rules can be planted in database software and be able to produce the right solution automatically. The addition of active database system components to the database software makes procedures such as subject distribution, study plans, academic leave, values, thesis defense and other processes can be monitored by the system automatically. This can be done because between applications and databases use the model driven approach parameters to communicate with each other. The results of this research prove that a database is not only has function as a container of data, but can control the information system actively, this is caused by the logic of programs that are generally planted in the application layer that can be moved and planted in the database software.

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30

Sangwan, Pardeep, and Saurabh Bhardwaj. "A Structured Approach towards Robust Database Collection for Speaker Recognition." Global Journal of Enterprise Information System 9, no. 3 (September 27, 2017): 53. http://dx.doi.org/10.18311/gjeis/2017/16123.

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<p>Speaker recognition systems are classified according to their database, feature extraction techniques and classification methods. It is analyzed that there is a much need to work upon all the dimensions of forensic speaker recognition systems from the very beginning phase of database collection to recognition phase. The present work provides a structured approach towards developing a robust speech database collection for efficient speaker recognition system. The database required for both systems is entirely different. The databases for biometric systems are readily available while databases for forensic speaker recognition system are scarce. The paper also presents several databases available for speaker recognition systems.</p><p> </p>

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31

Hu, Ying, Xiao Hong Hao, Qing Xue Huang, Hu Peng, and Qiu Shu Wang. "The Design and Implementation of Leveler Process Database System." Key Engineering Materials 467-469 (February 2011): 1319–24. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1319.

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The new generation leveler control system need to deal with amounts of data. Directed at the characteristics, this article demonstrates the structure design of its database architecture. From the communication interface, hardware and software environment, functions, technologies, etc., we expounded the implementation of database system, such as real-time database, alarm database, model material databases, historical database, and safety information database and so on. It shows that the database system is a core of new generation leveler control system. We also present specific examples of design and give the detailed method of approach.

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32

Jeon, Joohyoung, Minjeong An, and Hongchul Lee. "NoSQL Database Modeling for End-of-Life Vehicle Monitoring System." Journal of Software 10, no. 10 (October 2015): 1160–69. http://dx.doi.org/10.17706//jsw.10.10.1160-1169.

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33

Dinh, Hoai-Nam, and Shang-Liang Chen. "Building the Machining System Database for Matching Supplier and Customer." International Journal of Materials, Mechanics and Manufacturing 6, no. 2 (April 2018): 151–54. http://dx.doi.org/10.18178/ijmmm.2018.6.2.366.

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34

Aken, Bronwen L., Sarah Ayling, Daniel Barrell, Laura Clarke, Valery Curwen, Susan Fairley, Julio Fernandez Banet, et al. "The Ensembl gene annotation system." Database 2016 (2016): baw093. http://dx.doi.org/10.1093/database/baw093.

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35

Setiyadi, A., and E. B. Setiawan. "Information System Monitoring Access Log Database on Database Server." IOP Conference Series: Materials Science and Engineering 407 (September 26, 2018): 012110. http://dx.doi.org/10.1088/1757-899x/407/1/012110.

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36

Duží, M., F. Krejčí, and Z. Staníček. "Database project UNIS (a UNIfied database development support system)." Data & Knowledge Engineering 3, no. 3 (November 1988): 163–72. http://dx.doi.org/10.1016/0169-023x(88)90013-4.

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37

Bai, Wen Ruo, Ning Bo Wang, Jun Chao Zhu, and Bao Feng Zhang. "Application of Timesten on Web-Based Monitoring System." Applied Mechanics and Materials 538 (April 2014): 352–55. http://dx.doi.org/10.4028/www.scientific.net/amm.538.352.

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In order to gain high response speed, the paper presents a hybrid Timesten and Oracle database structure. First, the paper creates concepts of real-time database and historical database. It also points out their relationships. Second, it builds a hardware structure which involves an application server, a Timesten database server and an Oracle database server. The structure adopts uninterruptible power supply for data reliability. Last, it presents a software structure of databases. The Timesten acts as the real-time database and the Oracle acts as the historical database. There is a layer in front of the Timesten for data acquiring and an agent layer between the Timesten and the Oracle for data transmission. Experiment shows that the Timesten is about 6.69 times faster than the Oracle disk database.

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38

Pangalos, G. "Development of an experimental hospital database system using a relational database management system." Medical Informatics 14, no. 4 (January 1989): 309–21. http://dx.doi.org/10.3109/14639238908999285.

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39

KATO, Toshikazu. "Multimedia human interface of the advanced database system. Trademark and design database system." Journal of Information Processing and Management 32, no. 3 (1989): 193–211. http://dx.doi.org/10.1241/johokanri.32.193.

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40

Stazić, Ladislav, Ivan Komar, Luka Mihanović, and Antonija Mišura. "Shipowner’s Impact on Planned Maintenance System Database Quality Grades Resemblance Equalization." Transactions on Maritime Science 7, no. 1 (April 20, 2018): 5–22. http://dx.doi.org/10.7225/toms.v07.n01.001.

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This paper analyzes the shipowner’s role in the development process of ship’s computerized planned maintenance system database, paying specific attention to his/her impact on database quality grades resemblance equalization. The paper describes the database development process from the realization that the database is needed to the installation on board vessel, and all shipowner’s and developer’s actions in the process. The computerized databases of five shipping companies were tested using questionnaire developed for this purpose. The evaluation results are shown in several tables to facilitate overview and comparison of data. The paper provides the data of office user’s workload with regard to the administration and correction of data besides database quality grades: that data serves to portrait the relation between data quality in the databases and importance given to the process of development and maintenance of the databases. The analysis of the results yields numerical values as indicators of shipowner's input on the resemblance of grades of both scenarios and on the database quality grades resemblance equalization. The conclusion shows how the shipowner affects the ship's computerized planned maintenance system database and what actions should be performed to obtain the final product (database, i.e. data in the database) as good as possible and, thus, maintenance of the ship and the whole system. The expected results of the paper are:- To analyze in detail the database ordering and development process,- To pinpoint controlling areas for the database quality,- To analyze the shipowner’s impact on the database quality grades resemblance equalization.

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41

Ahmad, Khaleel, Mohammad Shoaib Alam, and Nur Izura Udzir. "Security of NoSQL Database Against Intruders." Recent Patents on Engineering 13, no. 1 (February 8, 2019): 5–12. http://dx.doi.org/10.2174/1872212112666180731114714.

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Background: The evolution of distributed web-based applications and cloud computing has brought about the demand to store a large amount of big data in distributed databases. Such efficient systems offer excessive availability and scalability to users. The new type of database resolves many new challenges especially in large-scale and high concurrency applications which are not present in the relational database. NoSQL refers to non-relational databases that are different from the Relational Database Management System. Objective: NoSQL has many features over traditional databases such as high scalability, distributed computing, lower cost, schema flexibility, semi or un-semi structural data and no complex relationship. Method: NoSQL databases are “BASE” Systems. The BASE (Basically Available, Soft state, Eventual consistency), formulates the CAP theorem the properties of which are used by BASE System. The distributed computer system cannot guarantee all of the following three properties at the same time that is consistency, availability and partition tolerance. Results: As progressively sharp big data is saved in NoSQL databases, it is essential to preserve higher security measures to ensure safe and trusted communication across the network. In this patent, we describe the security of NoSQL database against intruders which is growing rapidly. Conclusion: This patent also defines probably the most prominent NoSQL databases and describes their security aspects and problems.

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42

Premkumar, G. "Knowledge Based System and Database Management System." Journal of Database Management 2, no. 4 (October 1991): 12–26. http://dx.doi.org/10.4018/jdm.1991100102.

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43

SUZUKI, Kazuaki, Atsushi ABE, Keiko OKANO, and Michiko MIZUNO. "System guidline of JICST factual database system." Journal of Information Processing and Management 34, no. 3 (1991): 251–68. http://dx.doi.org/10.1241/johokanri.34.251.

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44

Magalhaes, Arlino, Jose Maria Monteiro, and Angelo Brayner. "Main Memory Database Recovery." ACM Computing Surveys 54, no. 2 (April 2021): 1–36. http://dx.doi.org/10.1145/3442197.

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Many of today’s applications need massive real-time data processing. In-memory database systems have become a good alternative for these requirements. These systems maintain the primary copy of the database in the main memory to achieve high throughput rates and low latency. However, a database in RAM is more vulnerable to failures than in traditional disk-oriented databases because of the memory volatility. DBMSs implement recovery activities (logging, checkpoint, and restart) for recovery proposes. Although the recovery component looks similar in disk- and memory-oriented systems, these systems differ dramatically in the way they implement their architectural components, such as data storage, indexing, concurrency control, query processing, durability, and recovery. This survey aims to provide a thorough review of in-memory database recovery techniques. To achieve this goal, we reviewed the main concepts of database recovery and architectural choices to implement an in-memory database system. Only then, we present the techniques to recover in-memory databases and discuss the recovery strategies of a representative sample of modern in-memory databases.

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45

Huang, Yi, Xin Qiang Ma, Dan Ning Li, and Rong Wu. "Research and Applications of Access Control Based on Logic SQL Database System." Advanced Materials Research 143-144 (October 2010): 672–76. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.672.

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Access control is the process of mediating every request to data and services maintained by a system and determining whether the request should be granted or denied. Access control policies are security policies that govern access to resources. It can be applied to several new types of databases. LogicSQL is an object relational database management system implemented with the advanced (formula-lock based) concurrency control protocol, and the steged database architecture. In this paper, we discuss access control in multilevel database management systems applies and illustrate the main applies of access control in the LogicSQL database system.

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46

Liekovuori, Kaisa, Samu Rautio, and Aatu Härkönen. "Shared Parameter Database of War Gaming Software: Case Study on Commercial Simulation Databases." Security Dimensions 35, no. 35 (March 31, 2021): 82–99. http://dx.doi.org/10.5604/01.3001.0014.8241.

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Background: The current research brings up the perspective of security-critical information systems in shared parameter databases in the context of processing sensitive data at Finnish Naval Warfare Centre. It refers to the environment of isolated military war gaming simulation and modeling systems. The research problem is: How to make an optimal solution for data distribution in different military war gaming simulation and modeling software? Objectives: The objective is to create a single shared database usable with different detail level software, e.g. high-level scenario simulation, technical system-of-system simulations, and system-level physical simulations. Methods: The methods are modeling, simulation and operation analysis. The approach is inductive, the strategy is a qualitative case study and the data collection was implemented by exploring database models and their combinations. The integration was implemented in an object-relational database management system (ORDBMS), PostgreSQL. Results: The shared database led to efficient access to simulation parameters, more straightforward system integration and improved scalability. Conclusions: The results of modeling and simulation indicated that the integration is possible to implement.

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47

SATO, Makoto. "On the compiling system of JICST bibliographic database, medical database and english database." Journal of Information Processing and Management 33, no. 12 (1991): 1098–114. http://dx.doi.org/10.1241/johokanri.33.1098.

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48

Lyazat, Naizabayeva, Nurzhanov Chingiz, Orazbekov Zhassulan, and Tleuberdiyeva Gulnara. "Corporate environmental information system data storage development and management (Environmental Information System)." Open Computer Science 7, no. 1 (December 29, 2017): 29–35. http://dx.doi.org/10.1515/comp-2017-0005.

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Abstract In this article a software implementation of the environmental monitoring is developed and presented, which is responsible for receive, store, process and analysis of data. For logical database design system Computer- Aided Software Engineering (CASE) technology, the AllFusion ERwin Data Modeler was selected. To develop corporate Oracle database management system used. The database contains a set of objects, which store all the primary and additional service information, as well as a set of software modules of business logic. The developed information system makes it possible to find optimal solutions for clean and disposal of the contaminated areas. There are advantages of created databases on the areas to be remediated, such as the analysis of remediation made by using plants.

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49

Dykstra, Dave. "Comparison of the Frontier Distributed Database Caching System to NoSQL Databases." Journal of Physics: Conference Series 396, no. 5 (December 13, 2012): 052031. http://dx.doi.org/10.1088/1742-6596/396/5/052031.

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50

Kim, Won, Nat Ballou, Jorge F. Garza, and Darrell Woelk. "A distributed object-oriented database system supporting shared and private databases." ACM Transactions on Information Systems 9, no. 1 (January 3, 1991): 31–51. http://dx.doi.org/10.1145/103731.103733.

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