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About 5,851 papers for “database standardization”

Space Transportation Main Engine (STME) Database Standardization

JE Lee, R. H. Jewett, DR Moore et al. · 1995

The joint NASA/U.S. Air Force National Launch System (NLS) Space Transportation Main Engine (STME) Program utilized a government and contractor team to develop a common materials database system. A standardized materials data flow for the STME was constructed to allow raw materials property data with its pedigree to be captured and statistically reduced into design allowable properties with full traceability. The goal was to make the data flow as efficient and reliable as possible, while generating the required high-quality materials properties. To meet this goal, a systematic approach was applied to the database development that focused on establishing consensus standards and requirements. Key steps included the following: (1) conducting a Quality Function Deployment (QFD), (2) establishing requirements to drive the design allowable material properties, (3) deriving standard statistical methodology, (4) generating standard test procedures, (5) developing comprehensive standard data and analysis formats with automated data entry, and (6) establishing an approval agency to monitor the data acceptability.

Cited by 0

Standardization literature database, an interdisciplinary systematic review

Grillo, Filippo, Wiegmann, Paul M., de Vries, Henk J. et al. · 4TU.ResearchData · 2024

This dataset contains the results of an interdisciplinary systematic review of the literature on the topic of standardization, and related (bibliometric) statistics.The dataset was composed by merging a keyword strings search, and a forward-citation search of other related literature reviews, both from Scopus and ISI Web of science. The search period is jan. 2012- may 2021.The detailed process behind the creation of the dataset is explained in the paper cited above and in its appendix, also available on the website of the Academy of Management Annals.<br>The dataset is open to use for research purposes upon using the above-mentioned citation. For more information, feel free to contact Filippo Grillo at his email

Cited by 0Open access

Management Group. Next Generation Object Database Standardization

2012

Abstract: Following the dissolution of the Object Data Management Group (ODMG) in 2001, standardization efforts for object databases languished. What has emerged since is a fractured marketplace where each vendor has developed a unique set of programming interfaces and features and no truly portable way of interacting with an object database exists. In 2005, the OMG’s Object Database Technology Working Group was formed as the successor to the ODMG, and our first effort has been to create the object equivalent of the relational calculus. We believe that the foundation for this “object calculus ” can be found in the research done by Prof. Kazimierz Subieta and his students at the Polish-Japanese Institute of Information Technology. We have prepared this white paper to serve as an introduction to Prof. Subieta’s “stack-based architecture ” (SBA) and to define the OMG version of it. The definitions and semantics of SBA will, we believe, allow the construction of a complete and correct object model that supports a powerful object query language as well as a complete and correct set of equivalent native programming language bindings.

Cited by 0

Marathi Speech Database Standardization: A Review and Work

Sonal A.Tiwari,, Rajashri G. Kanke, Maheshwari A. Ambewadikar et al. · Zenodo (CERN European Organization for Nuclear Research) · 2021

Abstract---Automatic Speech Recognition System (ASR) is helpful<br> for interaction between human and machine. It is the way to<br> operate computer and mobile phones through speech only, without<br> taking such extra efforts. The term corpus is used for<br> Standardized Database, which contains a collection of audio<br> recordings of spoken language with its annotations and<br> documents. When existing literature was reviewed, it was observed<br> that much literature is available on how to create speech<br> databases. But few literatures are available about the<br> standardization. Such work is done for the languages other than<br> Indian languages. But for the Hindi, Marathi etc., standardization<br> for the speech datasets is not up to the mark. The main problem in<br> designing of a speech database is to deal with variability of speech.<br> In recent years, there is much need to develop speech corpora for<br> training and testing materials to be used for wide range of<br> applications of speech technology like Linguistic Consortium,<br> Speech interfaces development and language models etc. If it is<br> standardized in regional languages, it will certainly contribute in<br> many applications and research. In future, we would like to work<br> to find standard way to standardized speech databases so with the<br> help of this we can retrieve data easily and more efficiently.<br> Keywords- ASR, Corpus, Speech Database, Standardization,<br> Annotation

Cited by 0Open access

Database Standardization, Linkage, and the Protection of Privacy

2016

In writing this summary, I was tempted to call on one of the mantras of the current generation: &amp;quot;reduce, reuse, recycle. &amp;quot; The authors of the preced-ing three articles all seek to reduce the need for expensive and time-consuming clinical trials that may be difficult or impossible to conduct by reusing data already available in existing databases and by recycling it into products not envisioned when the data were originally collected. The views ex-pressed in the paper by Gostin suggest that perhaps this mantra should be expanded from three Rs to four in the context of health care data: &amp;quot;reduce, reuse, recycle responsibly. &amp;quot; Because of the need to address pressing health care issues, data collected for one rea-son can and should be used in ways not originally intended; however, researchers must consider the legal

Cited by 0

A Proposed Standardization for Arabic Sign Language Benchmark Database

Ahmed Samir, Mohamed F. Tolba · The Egyptian Journal of Language Engineering /The Egyptian Journal of Language Engineering · 2015

This The lack of a visualized representation for standard Arabic Sign Language (ArSL) makes it difficult to do something as commonplace as looking up an unknown word in a dictionary. The majority of printed dictionaries organize ArSL signs (represented in drawings or pictures) based on their nearest Arabic translation; so unless one already knows the meaning of a sign, dictionary look-up is not a simple proposition. In this paper we introduce the ASL database, a large and expanding public dataset containing video sequences of thousands of distinct ArSL signs. This dataset is being created as part of a project to develop an Arabic sign language translator. At the same time, the dataset can be useful for benchmarking a variety of computer vision and machine learning methods designed for learning and/or indexing a large number of visual classes especially approaches for analyzing gestures and human communication.

Cited by 5Open access

Standardization of a Gaming Image Database for Visual Processing Research

Rebecca J. Gilbertson, Jonathan Hammersley, Samuel A. Birkholz et al. · Addicta The Turkish Journal on Addictions · 2024

Abstract: The purpose of the current study was to develop a database of gaming photo stimuli to be used in future psychological research assessing behavioral, cognitive, and neural correlates related to gaming. Participants (ages 18-42, N = 549; 43.17% male) completed ratings on 119 gaming-related images across 5 different categories: valence, arousal, relevance, urge, and interest. A measure of gaming addiction was also included. Positive associations between gaming addiction scores and image ratings were predicted. Gamers rated images higher than non-gamers across multiple dimensions including valence (p = .0012), arousal (p &lt; .0001), urge (p &lt; .0001), and interest (p &lt; .0001). Gaming addiction scores were positively associated with image ratings for valence, r = .399, arousal, r = .438, relevance, r = .215, urge, r = .550, and interest, r = .523, p &lt; .0001. Finally, average image ratings for the overall sample ranged from 5.65 (SD = 2.04) to 3.63 (SD = 1.91) for relevance and interest, respectively. These findings suggest that databases of video gaming imagery, rated for valence, arousal, relevance, urge, and interest, could possibly be used in studies assessing cognitive processing of video gaming-related stimuli in individuals with problematic gaming behavior.

Cited by 0Open access

DIGITAL RESOURCES FOR TERMINOLOGY STANDARDIZATION: TERMINOLOGICAL DATABASE AND TERMINOLOGICAL SUBCORPUS

A. Omarova, S. Eker, N. Shulenbayev · Tiltanym · 2025

This article analyzes the issues of polysemy, synonymy, and variation of terms in the Kazakh language, substantiating that one of the ways to address these issues is through the development of terminological databases and specialized terminological subcorpora. The role of such resources in the standardization of terminology is described from both linguistic and extralinguistic perspectives. The study includes a comparative analysis of the structure, technical, and linguistic characteristics of both foreign and domestic terminological resources (UNTERM, IATE, TermCom, terminological corpus, etc.), identifying the requirements for their development, their functions, and their significance in education, scientific research, and professional fields. Terminological databases were classified according to various features (purpose, target audience, language affiliation, usage type). As a result, principles for the standardization of terms were proposed (accuracy in conveying concepts and meanings, compliance with linguistic features, creation of new terms, compatibility with equivalents in other languages). Actions aimed at the standardization of Kazakh terminology were also outlined (transition of terminology into the digital space, increasing accessibility of standardized terms, and optimizing scientific and educational processes). The research utilizes academic works that examine methods, criteria, principles, and models for the development of terminological standards, as well as domestic and foreign terminological databases, corpora, and sectoral dictionaries. Methods such as generalization, description, comparison, analysis, and modeling were applied to study the issue of term polysemy.

Cited by 0Open access

Pathology Imagebase-a reference image database for standardization of pathology

Egevad, Lars, Cheville, John, Evans, Andrew J. et al. · Queensland's institutional digital repository (The University of Queensland) · 2017

Aims: Despite efforts to standardize histopathology practice through the development of guidelines, the interpretation of morphology is still hampered by subjectivity. We here describe Pathology Imagebase, a novel mechanism for establishing an international standard for the interpretation of pathology specimens. Methods and results: The International Society of Urological Pathology (ISUP) established a reference image database through the input of experts in the field. Three panels were formed, one each for prostate, urinary bladder and renal pathology, consisting of 24 international experts. Each of the panel members uploaded microphotographs of cases into a non-public database. The remaining 23 experts were asked to vote from a multiple-choice menu. Prior to and while voting, panel members were unable to access the results of voting by the other experts. When a consensus level of at least two-thirds or 16 votes was reached, cases were automatically transferred to the main database. Consensus was reached in a total of 287 cases across five projects on the grading of prostate, bladder and renal cancer and the classification of renal tumours and flat lesions of the bladder. The full database is available to all ISUP members at www.isupweb.org. Non-members may access a selected number of cases. Conclusions: It is anticipated that the database will assist pathologists in calibrating their grading, and will also promote consistency in the diagnosis of difficult cases.

Cited by 0

Research of data standardization construction for the four basic database

Zhao Ming-li · 2010

Data is an important part of building a database and plays a vital role in the entire E-government information sharing.For the current situation of the lack of data standards in the construction of the four basic database,presented a series of data standards hoping to be helpful for the construction of the four basic database.

Cited by 0

Quantitative Electroencephalogram Standardization: A Sex- and Age-Differentiated Normative Database

Juhee Ko, Ukeob Park, Daekeun Kim et al. · Frontiers in Neuroscience · 2021

We describe the utility of a standardized index (Z-score) in quantitative EEG (QEEG) capable of when referenced to a resting-state, sex- and age-differentiated QEEG normative database (ISB-NormDB). Our ISB-NormDB comprises data for 1,289 subjects (553 males, 736 females) ages 4.5 to 81 years that met strict normative data criteria. A de-noising process allowed stratification based on QEEG variability between normal healthy men and women at various age ranges. The ISB-NormDB data set that is stratified by sex provides a unique, highly accurate ISB-NormDB model (ISB-NormDB: ISB-NormDB-Male, ISB-NormDB-Female). To evaluate the trends and accuracy of the ISB-NormDB, we used actual data to compare Z-scores obtained through the ISB-NormDB with those obtained through a traditional QEEG normative database to confirm that basic trends are maintained in most bands and are sensitive to abnormal test data. Finally, we demonstrate the value of our standardized index of QEEG, and highlight it's capacity to minimize the confounding variables of sex and age in any analysis.

Cited by 31Open access

ChemProps: A RESTful API enabled database for composite polymer name standardization

Bingyin Hu, Anqi Lin, L. Catherine Brinson · Journal of Cheminformatics · 2021

The inconsistency of polymer indexing caused by the lack of uniformity in expression of polymer names is a major challenge for widespread use of polymer related data resources and limits broad application of materials informatics for innovation in broad classes of polymer science and polymeric based materials. The current solution of using a variety of different chemical identifiers has proven insufficient to address the challenge and is not intuitive for researchers. This work proposes a multi-algorithm-based mapping methodology entitled ChemProps that is optimized to solve the polymer indexing issue with easy-to-update design both in depth and in width. RESTful API is enabled for lightweight data exchange and easy integration across data systems. A weight factor is assigned to each algorithm to generate scores for candidate chemical names and optimized to maximize the minimum value of the score difference between the ground truth chemical name and the other candidate chemical names. Ten-fold validation is utilized on the 160 training data points to prevent overfitting issues. The obtained set of weight factors achieves a 100% test accuracy on the 54 test data points. The weight factors will evolve as ChemProps grows. With ChemProps, other polymer databases can remove duplicate entries and enable a more accurate "search by SMILES" function by using ChemProps as a common name-to-SMILES translator through API calls. ChemProps is also an excellent tool for auto-populating polymer properties thanks to its easy-to-update design.

Cited by 17Open access