Relevant bibliographies by topics / Data retrieve

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

Academic literature on the topic 'Data retrieve'

Author: Grafiati
Published: 2 June 2025
Last updated: 5 July 2025

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Journal articles on the topic "Data retrieve"

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Tokumi, Yuta, Junki Hakamata, and Masataka Tokumaru. "Development of a Nutritional Management System for a Healthy Eating Habits Support System." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 2 (2013): 324–34. http://dx.doi.org/10.20965/jaciii.2013.p0324.

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In this study, we propose a Nutritional Management System (NMS) that optimizes nutritional balance using a tabu search. Contemporary recipe retrieval systems generally retrieve a recipe either by using a keyword or by recommending a popular recipe. However, these recipe retrieval systems yield the same retrieval results for different users, and thus, the results do not necessarily reflect an individual user’s tastes. In addition, the search results delivered by many recipe retrieval systems do not always describe the nutritional details of the recipes. Therefore, we developed a Healthy Eating Habits Support System for resolving these issues. This system is composed of an NMS and a Kansei Retrieval System (KRS). The NMS retrieves nutritionally balanced menus using a tabu search. The KRS learns a user’s taste preferences, and selects menus suitable for a user’s tastes from among the menus retrieved by the NMS. The KRS needs multiple nutritionally balanced menus to learn a user’s taste preferences. Thus, in this study, we simulated scenarios to examine whether the NMS can retrieve multiple nutritionally balanced menus in the long-term without duplication, using quasi recipe data and real recipe data. When we used quasi recipe data in a simulation with a very large number of recipes, the NMS could retrieve a sustained quantity of menus in the long-term. In addition, when we used real recipe data, the NMS could quickly retrieve menus over the long-term. Therefore, the effectiveness of the NMS was confirmed.
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Lu, Shijun, Ruru Deng, Yeheng Liang, Longhai Xiong, Xianjun Ai, and Yan Qin. "Remote Sensing Retrieval of Total Phosphorus in the Pearl River Channels Based on the GF-1 Remote Sensing Data." Remote Sensing 12, no. 9 (2020): 1420. http://dx.doi.org/10.3390/rs12091420.

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Total phosphorus (TP) concentration is one of the indicators for surface water quality evaluation. In this study, an indirect algorithm was proposed to retrieve TP concentration. This algorithm retrieves the TP concentration in urban waters based on Gaofen-1 (GF-1) remote sensing data. The algorithm uses the correlation between remote-sensing reflectance, optically significant constituents of water (chlorophyll, suspended sediment, and organic matter (excluding algae)), and TP to establish a retrieval model. First, the concentrations of optically active components are retrieved using a semi-analytical model. Second, the correlation between TP and optically active components is used to retrieve the TP concentration in waters. The GF-1 remote sensing data for 7 August 2015 were used to perform remote sensing retrieval of TP concentration in the Pearl River channels in Guangzhou, China. The results show that the TP concentration in most areas of the Front Channel, Western Channel, Guangzhou Channel, and the western part of the Back Channel was higher than 0.2 mg/L, while the TP concentration in the middle and eastern parts of the Back Channel was generally lower than 0.2 mg/L. The mean absolute percentage error of the retrieval is 24.18%. The experimental results show that the model is suitable for remote sensing retrieval of TP in urban waters in Guangzhou.
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Negi, H. S., and A. Kokhanovsky. "Retrieval of snow grain size and albedo of Western Himalayan snow cover using satellite data." Cryosphere Discussions 5, no. 1 (2011): 605–53. http://dx.doi.org/10.5194/tcd-5-605-2011.

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Abstract. In the present study we describe the retrievals of snow grain size and spectral albedo (plane and spherical albedo) for Western Himalayan snow cover using Hyperion sensor data. The asymptotic radiative transfer (ART) theory was explored for the snow retrievals. To make the methodology operational only five spectral bands (440, 500, 1050, 1240 and 1650 nm) of Hyperion were used for snow parameters retrieval. The bi-spectral method (440 nm in the visible and 1050/1240 nm in the NIR region) was used to retrieve snow grain size. Spectral albedos were retrieved using satellite reflectances and estimated grain size. A good agreement was observed between retrieved snow parameters and ground observed snow-meteorological conditions. The satellite retrieved grain sizes were compared with field spectroradiometer retrieved grain sizes and close results were found for Lower Himalayan snow. The wavelength 1240 nm was found to be more suitable compared to 1050 nm for grain size retrieval along the steep slopes. The methodology was able to retrieve the spatial variations in snow parameters in different parts of Western Himalaya which are due to snow climatic and terrain conditions of Himalaya. This methodology is of importance for operational snow cover and glacier monitoring in Himalayan region using space-borne and air-borne sensors.
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Negi, H. S., and A. Kokhanovsky. "Retrieval of snow grain size and albedo of western Himalayan snow cover using satellite data." Cryosphere 5, no. 4 (2011): 831–47. http://dx.doi.org/10.5194/tc-5-831-2011.

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Abstract. In the present study we describe the retrievals of snow grain size and spectral albedo (plane and spherical albedo) for western Himalayan snow cover using Hyperion sensor data. The asymptotic radiative transfer (ART) theory was explored for the snow retrievals. To make the methodology operational only five spectral bands (440, 500, 1050, 1240 and 1650 nm) of Hyperion were used for snow parameters retrieval. The bi-spectral method (440 nm in the visible and 1050/1240 nm in the NIR region) was used to retrieve snow grain size. Spectral albedos were retrieved using satellite reflectances and estimated grain size. A good agreement was observed between retrieved snow parameters and ground observed snow-meteorological conditions. The satellite retrieved grain sizes were compared with field spectroradiometer retrieved grain sizes and close results were found for lower Himalayan snow. The wavelength 1240 nm was found to be more suitable compared to 1050 nm for grain size retrieval along the steep slopes. The methodology was able to retrieve the spatial variations in snow parameters in different parts of western Himalaya which are due to snow climatic and terrain conditions of Himalaya. This methodology is of importance for operational snow cover and glacier monitoring in Himalayan region using space-borne and air-borne sensors.
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Taha, G., D. F. Rault, R. P. Loughman, A. E. Bourassa, and C. von Savigny. "SCIAMACHY stratospheric aerosol extinction profile retrieval." Atmospheric Measurement Techniques Discussions 3, no. 6 (2010): 5343–74. http://dx.doi.org/10.5194/amtd-3-5343-2010.

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Abstract. The Ozone Mapper and Profiler Suite Limp Profiler (OMPS/LP) algorithm is used to retrieve ozone and aerosol profiles using a series of 120 SCIAMACHY limb measurements collocated with SAGE II solar occultation events. The primary goal of the study is to ascertain the capability of the OMPS/LP retrieval algorithm to accurately retrieve the vertical distribution of stratospheric aerosol extinction coefficient so as to better account for aerosol effects in the ozone profiling retrieval process. Using simulated radiances, we show that the aerosol extinction coefficient can be retrieved from limb scatter measurements within 5% and a standard deviation better than 15%, which is more than sufficient to improve the OMPS/LP ozone products to be used as Environmental Data Records. We also illustrate the ability of SCIAMACHY limb measurements to retrieve stratospheric aerosol profiles with accuracy comparable to other instruments. The retrieved aerosol profiles agree with collocated SAGE II measurements on average to within 25%, with a standard deviation of 35%.
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Taha, G., D. F. Rault, R. P. Loughman, A. E. Bourassa, and C. von Savigny. "SCIAMACHY stratospheric aerosol extinction profile retrieval using the OMPS/LP algorithm." Atmospheric Measurement Techniques 4, no. 3 (2011): 547–56. http://dx.doi.org/10.5194/amt-4-547-2011.

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Abstract. The Ozone Mapper and Profiler Suite, Limp Profiler (OMPS/LP) algorithm is used to retrieve ozone concentration and aerosol extinction profiles using a series of 120 SCIAMACHY limb measurements collocated with SAGE II solar occultation events. The primary goal of the study is to ascertain the capability of the OMPS/LP retrieval algorithm to accurately retrieve the vertical distribution of stratospheric aerosol extinction coefficient so as to better account for aerosol effects in the ozone profiling retrieval process. Using simulated radiances, we show that the aerosol extinction coefficient can be retrieved from limb scatter measurements within 5% and a standard deviation better than 15%, which is more than sufficient to improve the OMPS/LP ozone products to be used as Environmental Data Records. We also illustrate the ability of SCIAMACHY limb measurements to retrieve stratospheric aerosol extinction profiles with accuracy comparable to other instruments. The retrieved aerosol extinction profiles agree with collocated SAGE II measurements on average to within 25%, with a standard deviation of 35%.
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Yin, Xishuang, and Yi Feng. "Data Storage Architecture and Retrieval Based on Water Conservancy Data and Computer Technologies." International Journal of Agricultural and Environmental Information Systems 16, no. 1 (2025): 1–17. https://doi.org/10.4018/ijaeis.373123.

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The reasonable storage and retrieval of spatial data in rivers and lakes can promote the development of river and lake management and protection projects. In order to efficiently store and retrieve river and lake spatial data, this study adopts river and lake data and computer technology to design a data storage architecture and retrieval method based on river and lake spatial data types. The design of the structured data storage architecture adopts relational databases and document databases with spatial indexing characteristics. Use a geospatial data abstraction library to read and write raster image data from unstructured data, and use Elasticsearch to retrieve metadata. The test results show that the minimum latency of this architecture is 13ms, the average response time is 78ms, the maximum throughput is 14000 req/s, and the average failure rate is 0.106%. The designed architecture and database performance are excellent, providing technical support for efficient storage and retrieval of river and lake spatial data.
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Dhulavvagol, Praveen M., Akhilesh Gadagkar, K. J. Ateeth, Gururaj Hegade, Ritik Poonia, and S. G. Totad. "Optimised Image Storage and Retrieval on Hadoop." ITM Web of Conferences 53 (2023): 03001. http://dx.doi.org/10.1051/itmconf/20235303001.

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With the exponential growth of data, it is difficult to efficiently store and retrieve data using traditional methods. There is a need to optimize the storage and to efficiently retrieve relevant data matching the user query. Traditional methods lack optimized storage and to effectively retrieve data. To overcome these limitations, in this project, we propose a distributed architecture framework to optimize memory usage and to effectively retrieve relevant data using Content-Based Image Retrieval (CBIR). The experimental results show that the proposed model enhances storage performance and retrieval time by 20%.
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Du, Baolong, Dabin Ji, Jiancheng Shi, et al. "The Retrieval of Total Precipitable Water over Global Land Based on FY-3D/MWRI Data." Remote Sensing 12, no. 9 (2020): 1508. http://dx.doi.org/10.3390/rs12091508.

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Total precipitable water (TPW) is an important key factor in the global water cycle and climate change. The knowledge of TPW characteristics at spatial and temporal scales could help us to better understand our changing environment. Currently, many algorithms are available to retrieve TPW from optical and microwave sensors. There are still no available TPW data over land from FY-3D MWRI, which was launched by China in 2017. However, the TPW product over land is a key element for the retrieval of many ecological environment parameters. In this paper, an improved algorithm was developed to retrieve TPW over land from the brightness temperature of FY-3D MWRI. The major improvement is that surface emissivity, which is a key parameter in the retrieval of TPW in all-weather conditions, was developed and based on an improved algorithm according to the characteristics of FY-3D MWRI. The improvement includes two aspects, one is selection of appropriate ancillary data in estimating surface emissivity parameter Δε18.7/Δε23.8 in clear sky conditions, and the other is an improvement of the Δε18.7/Δε23.8 estimation function in cloudy conditions according to the band configuration of FY-3D MWRI. Finally, TPW retrieved was validated using TPW observation from the SuomiNet GPS and global distributed Radiosonde Observations (RAOB) networks. According to the validation, TPW retrieved using observations from FY-3D MWRI and ancillary data from Aqua MODIS had the best quality. The root mean square error (RMSE) and correlation coefficient between the retrieved TPW and observed TPW from RAOB were 5.47 and 0.94 mm, respectively.
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Fang, Ming, Bruce Albrecht, Eunsil Jung, Pavlos Kollias, Haflidi Jonsson, and Ivan PopStefanija. "Retrieval of Vertical Air Motion in Precipitating Clouds Using Mie Scattering and Comparison with In Situ Measurements." Journal of Applied Meteorology and Climatology 56, no. 3 (2017): 537–53. http://dx.doi.org/10.1175/jamc-d-16-0158.1.

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AbstractFor the first time, the Mie notch retrieval technique is applied to airborne cloud Doppler radar observations in warm precipitating clouds to retrieve the vertical air velocity profile above the aircraft. The retrieval algorithm prescribed here accounts for two major sources of bias: aircraft motion and horizontal wind. The retrieval methodology is evaluated using the aircraft in situ vertical air velocity measurements. The standard deviations of the residuals for the retrieved and in situ measured data for an 18-s time segment are 0.21 and 0.24 m s−1, respectively; the mean difference between the two is 0.01 m s−1. For the studied cases, the total theoretical uncertainty is less than 0.19 m s−1 and the actual retrieval uncertainty is about 0.1 m s−1. These results demonstrate that the Mie notch technique combined with the bias removal procedure described in this paper can successfully retrieve vertical air velocity from airborne radar observations with low spectral broadening due to Doppler fading, which enables new opportunities in cloud and precipitation research. A separate spectral peak due to returns from the cloud droplets is also observed in the same radar Doppler spectra and is also used to retrieve vertical air motion. The vertical air velocities retrieved using the two different methods agree well with each other, and the correlation coefficient is as high as 0.996, which indicates that the spectral peak due to cloud droplets might provide another way to retrieve vertical air velocity in clouds when the Mie notch is not detected but the cloud droplets’ spectral peak is discernable.
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Dissertations / Theses on the topic "Data retrieve"

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ASHOK, RAMYA. "A DATABASE SYSTEM TO STORE AND RETRIEVE A CONCEPT LATTICE STRUCTURE." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1130552767.

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Wilson, Robin. "Developing a novel method to retrieve high spatial resolution Aerosol Optical Thickness (AOT) from satellite data." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/374707/.

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Aerosol Optical Thickness (AOT) data have many important applications including atmospheric correction of satellite imagery and monitoring of particulate matter air pollution. Current data products are generally available at a kilometre-scale resolution, but many applications require far higher resolutions. For example, particulate matter concentrations vary on the scale of tens of metres, and thus data products at a similar scale are required to provide accurate assessments of particle densities and allow effective monitoring of air quality and analysis of local air quality effects on health. This thesis describes the development of a novel method which retrieves per-pixel AOT values from high-resolution (30m) satellite data, and this method is the main novel contribution to scientific knowledge of this PhD. This method is designed to work over a wide range of land covers including both bright and dark surfaces - and requires only standard visible bands, making it applicable to a range of data from sensors such as Landsat, DMC, SPOT and Pleiades. The method is based upon an extension of the Haze Optimized Transform (HOT), which was originally designed for estimating the haziness of each pixel in a satellite image, based upon the distance from a `Clear Line' in feature space. In this research, the HOT method is adapted and used to estimate AOT instead. Significant extensions include Monte Carlo estimation of the `Clear Line', object-based correction for land cover, and modelling of the HOT-AOT relationship using radiative transfer models. Validation against ground and satellite measurements, as well as simulated data, shows that 40-50% of the pixels have an error within ±0.1, not much lower than many presently available low-resolution products, with further work likely to improve the accuracy. Two example applications show the potential of this method for per-pixel atmospheric correction and monitoring the spatial pattern of particulate matter pollution. This novel method will enable many new applications of AOT data that were impossible with low-resolution data.
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Marzo, i. Grimalt Núria. "Natural Language Processing Model for Log Analysis to Retrieve Solutions For Troubleshooting Processes." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300042.

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In the telecommunications industry, one of the most time-consuming tasks is troubleshooting and the resolution of Trouble Report (TR) tickets. This task involves the understanding of textual data which can be challenging due to its domain- and company-specific features. The text contains many abbreviations, typos, tables as well as numerical information. This work tries to solve the issue of retrieving solutions for new troubleshooting reports in an automated way by using a Natural Language Processing (NLP) model, in particular Bidirectional Encoder Representations from Transformers (BERT)- based approaches. It proposes a text ranking model that, given a description of a fault, can rank the best possible solutions to that problem using answers from past TRs. The model tackles the trade-off between accuracy and latency by implementing a multi-stage BERT-based architecture with an initial retrieval stage and a re-ranker stage. Having a model that achieves a desired accuracy under a latency constraint allows it to be suited for industry applications. The experiments to evaluate the latency and the accuracy of the model have been performed on Ericsson’s troubleshooting dataset. The evaluation of the proposed model suggest that it is able to retrieve and re-rank solution for TRs with a significant improvement compared to a non-BERT model.<br>En av de mest tidskrävande uppgifterna inom telekommunikationsindustrin är att felsöka och hitta lösningar till felrapporter (TR). Denna uppgift kräver förståelse av textdata, som försvåras as att texten innehåller företags- och domänspecifika attribut. Texten innehåller typiskt sett många förkortningar, felskrivningar och tabeller blandat med numerisk information. Detta examensarbete ämnar att förenkla inhämtningen av lösningar av nya felsökningar på ett automatiserat sätt med hjälp av av naturlig språkbehandling (NLP), specifikt modeller baserade på dubbelriktad kodrepresentation (BERT). Examensarbetet föreslår en textrankningsmodell som, givet en felbeskrivning, kan rangordna de bästa möjliga lösningarna till felet baserat på tidigare felsökningar. Modellen hanterar avvägningen mellan noggrannhet och fördröjning genom att implementera den dubbelriktade kodrepresentationen i två faser: en initial inhämtningsfas och en omordningsfas. För industrianvändning krävs att modellen uppnår en given noggrannhet med en viss tidsbegränsning. Experimenten för att utvärdera noggrannheten och fördröjningen har utförts på Ericssons felsökningsdata. Utvärderingen visar att den föreslagna modellen kan hämta och omordna data för felsökningar med signifikanta förbättringar gentemot modeller utan dubbelriktad kodrepresentation.
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Veldsman, Werner Pieter. "SNP based literature and data retrieval." Thesis, University of the Western Cape, 2016. http://hdl.handle.net/11394/5345.

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>Magister Scientiae - MSc<br>Reference single nucleotide polymorphism (refSNP) identifiers are used to earmark SNPs in the human genome. These identifiers are often found in variant call format (VCF) files. RefSNPs can be useful to include as terms submitted to search engines when sourcing biomedical literature. In this thesis, the development of a bioinformatics software package is motivated, planned and implemented as a web application (http://sniphunter.sanbi.ac.za) with an application programming interface (API). The purpose is to allow scientists searching for relevant literature to query a database using refSNP identifiers and potential keywords assigned to scientific literature by the authors. Multiple queries can be simultaneously launched using either the web interface or the API. In addition, a VCF file parser was developed and packaged with the application to allow users to upload, extract and write information from VCF files to a file format that can be interpreted by the novel search engine created during this project. The parsing feature is seamlessly integrated with the web application's user interface, meaning there is no expectation on the user to learn a scripting language. This multi-faceted software system, called SNiPhunter, envisions saving researchers time during life sciences literature procurement, by suggesting articles based on the amount of times a reference SNP identifier has been mentioned in an article. This will allow the user to make a quantitative estimate as to the relevance of an article. A second novel feature is the inclusion of the email address of a correspondence author in the results returned to the user, which promotes communication between scientists. Moreover, links to external functional information are provided to allow researchers to examine annotations associated with their reference SNP identifier of interest. Standard information such as digital object identifiers and publishing dates, that are typically provided by other search engines, are also included in the results returned to the user.<br>National Research Foundation (NRF) /The South African Research Chairs Initiative (SARChI)
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Daoud, Amjad M. "Efficient data structures for information retrieval." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40031.

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Ramazan, Acun. "Modelling and retrieval of historical data." Thesis, University of Birmingham, 1994. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.756106.

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Dreiling, James, and Kirk Wilson. "User Data Formatting for Search and Retrieval on 19mm Data Recorders." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614708.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California<br>Search and retrieval efficiencies are intimately related to the method of user data formatting used on 19 millimeter (mm) rotary digital data recorders. The formatting must be designed for the feature set of the recorder in order to make optimum use of the recorder capabilities.
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Koenders, Michael. "FROM MUSIC INFORMATION RETRIEVAL (MIR) TO INFORMATION RETRIEVAL FOR MUSIC (IRM)." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16914.

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This thesis reviews and discusses certain techniques from the domain of (Music) Information Retrieval, in particular some general data mining algorithms. It also describes their specific adaptations for use as building blocks in the CACE4 software application. The use of Augmented Transition Networks (ATN) from the field of (Music) Information Retrieval is, to a certain extent, adequate as long as one keeps the underlying tonal constraints and rules as a guide to understanding the structure one is looking for. However since a large proportion of algorithmic music, including music composed by the author, is atonal, tonal constraints and rules are of little use. Analysis methods from Hierarchical Clustering Techniques (HCT) such as k-means and Expectation-Maximisation (EM) facilitate other approaches and are better suited for finding (clustered) structures in large data sets. ART2 Neural Networks (Adaptive Resonance Theory) for example, can be used for analysing and categorising these data sets. Statistical tools such as histogram analysis, mean, variance as well as correlation calculations can provide information about connections between members in a data set. Altogether this provides a diverse palette of usable data analysis methods and strategies for creating algorithmic atonal music. Now acting as (software) strategy tools, their use is determined by the quality of their output within a musical context, as demonstrated when developed and programmed into the Computer Assisted Composition Environment: CACE4. Music Information Retrieval techniques are therefore inverted: their specific techniques and associated methods of Information Retrieval and general data mining are used to access the organisation and constraints of abstract (non-specific musical) data in order to use and transform it in a musical composition.
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Bremer, Jan-Marco. "Next-generation information retrieval : integrating document and data retrieval based on XML /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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Sanz, Blasco Ismael. "Flexible techniques for heterogeneous XML data retrieval." Doctoral thesis, Universitat Jaume I, 2007. http://hdl.handle.net/10803/10373.

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The progressive adoption of XML by new communities of users has motivated the appearance of applications that require the management of large and complex collections, which present a large amount of heterogeneity. Some relevant examples are present in the fields of bioinformatics, cultural heritage, ontology management and geographic information systems, where heterogeneity is not only reflected in the textual content of documents, but also in the presence of rich structures which cannot be properly accounted for using fixed schema definitions. Current approaches for dealing with heterogeneous XML data are, however, mainly focused at the content level, whereas at the structural level only a limited amount of heterogeneity is tolerated; for instance, weakening the parent-child relationship between nodes into the ancestor-descendant relationship. <br/>The main objective of this thesis is devising new approaches for querying heterogeneous XML collections. This general objective has several implications: First, a collection can present different levels of heterogeneity in different granularity levels; this fact has a significant impact in the selection of specific approaches for handling, indexing and querying the collection. Therefore, several metrics are proposed for evaluating the level of heterogeneity at different levels, based on information-theoretical considerations. These metrics can be employed for characterizing collections, and clustering together those collections which present similar characteristics. <br/>Second, the high structural variability implies that query techniques based on exact tree matching, such as the standard XPath and XQuery languages, are not suitable for heterogeneous XML collections. As a consequence, approximate querying techniques based on similarity measures must be adopted. Within the thesis, we present a formal framework for the creation of similarity measures which is based on a study of the literature that shows that most approaches for approximate XML retrieval (i) are highly tailored to very specific problems and (ii) use similarity measures for ranking that can be expressed as ad-hoc combinations of a set of --basic' measures. Some examples of these widely used measures are tf-idf for textual information and several variations of edit distances. Our approach wraps these basic measures into generic, parametrizable components that can be combined into complex measures by exploiting the composite pattern, commonly used in Software Engineering. This approach also allows us to integrate seamlessly highly specific measures, such as protein-oriented matching functions.<br/>Finally, these measures are employed for the approximate retrieval of data in a context of highly structural heterogeneity, using a new approach based on the concepts of pattern and fragment. In our context, a pattern is a concise representations of the information needs of a user, and a fragment is a match of a pattern found in the database. A pattern consists of a set of tree-structured elements --- basically an XML subtree that is intended to be found in the database, but with a flexible semantics that is strongly dependent on a particular similarity measure. For example, depending on a particular measure, the particular hierarchy of elements, or the ordering of siblings, may or may not be deemed to be relevant when searching for occurrences in the database. <br/>Fragment matching, as a query primitive, can deal with a much higher degree of flexibility than existing approaches. In this thesis we provide exhaustive and top-k query algorithms. In the latter case, we adopt an approach that does not require the similarity measure to be monotonic, as all previous XML top-k algorithms (usually based on Fagin's algorithm) do. We also presents two extensions which are important in practical settings: a specification for the integration of the aforementioned techniques into XQuery, and a clustering algorithm that is useful to manage complex result sets.<br/>All of the algorithms have been implemented as part of ArHeX, a toolkit for the development of multi-similarity XML applications, which supports fragment-based queries through an extension of the XQuery language, and includes graphical tools for designing similarity measures and querying collections. We have used ArHeX to demonstrate the effectiveness of our approach using both synthetic and real data sets, in the context of a biomedical research project.
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Books on the topic "Data retrieve"

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Pierre-Yves, Deschamps, and United States. National Aeronautics and Space Administration., eds. Inversion schemes to retrieve atmospheric and oceanic parameters from SeaWiFS data. National Aeronautics and Space Administration, 1997.

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Inc, ebrary, ed. NHibernate 2 beginner's guide: Rapidly retrieve data from your database into .NET objects. Packt Open Source, 2010.

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Sinclair, Ian Robertson. Using Sage Retrieve III: Managing your data on the IBM PC and compatibles. Sigma, 1990.

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Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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Daniel, Schlapfer, and United States. National Aeronautics and Space Administration., eds. Atmospheric pre-corrected differential absorption techniques to retrieve columnar water vapor: Application to AVIRIS 91/95 data. National Aeronautics and Space Administration, 1996.

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Müller, Jürgen. A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. Springer Berlin Heidelberg, 2013.

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Quintarelli, Elisa. Model-Checking Based Data Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b94902.

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Wu, Shengli. Data Fusion in Information Retrieval. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28866-1.

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Book chapters on the topic "Data retrieve"

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Vermeulen, Andreas François. "Retrieve Superstep." In Practical Data Science. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3054-1_7.

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Mortelmans, Dimitri. "Querying (Coded) Data." In Springer Texts in Social Sciences. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66014-6_12.

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AbstractNVivo is a code-and-retrieve program whereby coded material is retrieved using queries to get a systematic overview of a specific topic in your data. That makes the query tools one of the most important tools in the program. NVivo has eight different types of queries, each performing different types of searches in a project. The chapter presents each query type and illustrates its functioning with an example. Specific attention is paid to the output regulation with the “spread to” option, which determines how researchers can gain insights into the retrieved coded references. The chapter also shows how users can divert query results to codes, i.e. how queries can be used to code (new) data.
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Huang, Taoyi, Yuming Lin, Haibo Tang, You Li, and Huibing Zhang. "PKRS: A Product Knowledge Retrieve System." In Web and Big Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26075-0_34.

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Ning, Shiqi, Kun Liu, Chengjun Wang, Shan Jiang, and Qiang Wang. "Research on Multi-channel Retrieve Mechanism Based on Heuristic." In Data Mining and Big Data. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8991-9_25.

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Wu, Qianhong, Yi Mu, Willy Susilo, and Fangguo Zhang. "Privately Retrieve Data from Large Databases." In Information Security Practice and Experience. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11689522_34.

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Agarwal, Vidya Vrat. "Executing ADO.NET Commands to Retrieve Data." In Beginning C# 5.0 Databases. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4261-1_13.

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Nutting, Jack, and Peter Clark. "Search and Retrieve Core Data with Criteria." In Learn Cocoa on the Mac. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4543-8_10.

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Cappos, Justin. "Avoiding Theoretical Optimality to Efficiently and Privately Retrieve Security Updates." In Financial Cryptography and Data Security. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39884-1_33.

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Liu, Yang, Huanqiang Zhang, and Zhimei Wu. "A New Approach to Hierarchically Retrieve MPEG Video." In Intelligent Data Engineering and Automated Learning — IDEAL 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45675-9_87.

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Bakir, Ahmed. "Using HealthKit to Securely Retrieve and Store Health Data." In Program the Internet of Things with Swift for iOS. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3513-3_4.

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Conference papers on the topic "Data retrieve"

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Xie, Yunjian, Yinqing Zhen, and Qingyun Yan. "Using FY-3E Data to Independently Retrieve Sea Ice Thickness." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618269.

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Schatzman, Natasha, Athena Chan, Michael Fillman, et al. "Performance Analysis and Data Processing for the Mars Sample Recovery Helicopter in the Jet Propulsion Laboratory 25-ft Space Simulator." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1357.

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On April 19, 2021, Ingenuity became the first helicopter to fly on Mars at Jezero Crater, completing a total of 72 flights by the end of its mission. The success of Ingenuity resulted in various research efforts to further exploreMars via vertical flight, including two optimized Ingenuity-sized helicopters proposed to retrieve samples for the 2028 Mars Sample Return mission. To aid in the design process for the two proposed Sample Retrieval Helicopters, both heritage and optimized, increased diameter rotors were tested at the NASA Jet Propulsion Laboratory in the 25-ft Space Simulator. Three test campaigns were performed using the Ingenuity rotors and optimized Sample Retrieval Helicopter (SRH) rotors for several rotor speeds, densities, configurations, and collectives to identify performance limitations. These three test campaigns included the Ingenuity Engineering Design Model 1 (EDM-1) with and without a cruciform box, Transonic Rotor Test (TRT) rig, and SRH Dual Rotor Test (DRT). Experimental setup, test matrix, data processing, data quality, and performance results for EDM-1, TRT, and DRT campaigns are presented and discussed. Experimental results from the test campaigns will aid in future experimental methods and validation efforts for planetary rotorcraft exploration.
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Inoubli, Raja, Daniel Enrique Constantino-Recillas, Alejandro Monsiváis-Huertero, Lilia Bennaceur Farah, and Imed Riadh Farah. "Computational methods to retrieve soil moisture using remote sensing data: A review." In 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP). IEEE, 2024. http://dx.doi.org/10.1109/atsip62566.2024.10638854.

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Zabolotskikh, E. V., S. M. Azarov, A. Stokoz, and K. I. Yarusov. "Estimation of the AMSR2 Data Potential to Retrieve the Arctic Sea Ice Thickness." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618880.

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Zhu, Beilei, and Chandrasekar Vuppalapati. "Enhancing Supply Chain Efficiency Through Retrieve-Augmented Generation Approach in Large Language Models." In 2024 IEEE 10th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService). IEEE, 2024. http://dx.doi.org/10.1109/bigdataservice62917.2024.00025.

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Ball, Liezl, and Theo Bothma. "The capability of search tools to retrieve words with specific properties from large text collections." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2030.

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Introduction. With the increase in the availability of digital text collections for humanities researchers, tools to enable enhanced retrieval are required. If words with very specific properties could be retrieved from a text collection more accurate linguistic and other analyses can be made. There are a range of properties and metadata that could be specified for retrieval, from morphological data up to bibliographic data. Furthermore, the bibliographic data should not only be on item level but extended to the text-level. For example, in an anthology each section could be encoded with the author of that section. Such extended metadata will enable fine-grained retrieval. Method. In this study, current tools were evaluated to determine to what extent they allow users to retrieve words with specific properties from a text collection. Analysis. The analysis is limited to the following criteria: interface design, metadata, search options, filtering and search results. Results. Currently, it is not possible for a user to retrieve words with specific properties from a text collection. Conclusion. An extended set of metadata should be used to encode text to enable retrieval of words on a fine-grained level.
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Mergenthaler, J. L., J. F. Potter, J. B. Kumer, T. C. James, and A. E. Roche. "Retrieval of CLAES Filter Shapes from Spectral Calibration Data." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.md26.

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The Cryogenic Limb Array Etalon Spectrometer (CLAES) will derive Stratospheric temperatures and constituent number densities from the measurement of infrared spectral emissions, during its 18 month mission on board the NASA Upper Atmosphere Research Satellite (UARS). Overviews of the CLAES experiment and hardware are given by Roche et al (1) and Burriesci et al. (2). This paper describes the mathematical inversion of system cold test calibration data described by James et al.(3) to retrieve system spectral blocker filter profiles in the pressure and temperature retrieval channel centered at 791.5 cm-1.
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Horstmann, Jochen, Wolfgang Koch, and Susanne Lehner. "High Resolution Wind Fields Retrieved From Spaceborne Synthetic Aperture Radar Images in Comparison to Numerical Models." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28301.

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This paper introduces a recently developed algorithm to retrieve high-resolution wind fields over the ocean surface from spaceborne synthetic aperture radar (SAR) data. The algorithm consists of two parts, the first for determining wind direction and the second for wind speed retrieval. Wind directions are extracted from wind induced streaks e.g. from boundary layer rolls, Langmuir cells, or wind shadowing, which are approximately in line with the mean wind direction. Wind speed is derived from the normalized radar cross section (NRCS) and image geometry of the SAR image, together with the local retrieved wind direction. The application of SAR-wind retrieval in coastal regions is demonstrated using data acquired aboard the European satellites ERS-1 and ERS-2 and the Canadian satellite RADARSAT-1. These data allow to measure wind fields of an area of up to 500 km × 500 km with a resolution of up to 200 m. To improve and validate the set-up of numerical high-resolution models in coastal regions SAR-retrieved wind fields offer an unique opportunity. This is shown by comparisons of wind fields measured by SAR to results of the numerical model REMO, HIRLAM and GESIMA.
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Borges, Gustavo Caetano, Julio César dos Reis, and Claudia Bauzer Medeiros. "Addressing search in scientific open data repositories: A semantic metasearch platform." In Brazilian e-Science Workshop. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/bresci.2021.15792.

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Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in agriculture.
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Devarakonda, Ranjeet, Michael Giansiracusa, Jitendra Kumar, and Harold Shanafield. "Social media based NPL system to find and retrieve ARM data: Concept paper." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258525.

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Reports on the topic "Data retrieve"

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Krueger, Steve, Emina Maric, Zeen Zhu, and Pavlos Kollias. Final Report: Using ARM Data to Retrieve Entrainment Rates in Stratocumulus Cloud Systems. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2316191.

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Qu, Pengda, Jing Huang, Shiqi Wang, et al. Efficacy and safety of Chinese medicinal formula containing Cortex Phellodendri for gout: A protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0109.

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Review question / Objective: The purpose of this study was to compare the efficacy and safety of Chinese medicinal formula containing Cortex Phellodendri and traditional western medicine in the treatment of gout. Information sources: The following databases will be searched on the same day: Web of Science, PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wanfang), Weipu Chinese Science and Technology Journal Full-text Database (VIP) and Chinese Biomedical Literature Database (CBM). The retrieval time is from the inception of the database to May 2022. At the same time, we will retrieve other resources to make up for the shortage of electronic database, mainly searching for the clinical trial registries and grey literature about Chinese herbal decoction containing Cortex Phellodendri for gout on the corresponding website. In addition, the relevant journals, in the reference literature, will be searched and tracked.
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Wang, Yingying, Na Wang, Bofang Wang, et al. Photodynamic therapy with or without systemic chemotherapy for unresectable extrahepatic cholangiocarcinoma: protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0086.

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Review question / Objective: This study will evaluate all studies on the results of photodynamic therapy(PDT) alone, synergized with chemotherapy and chemotherapy alone on unresectable extrahepatic cholangiocarcinoma(ECC), aiming to clarify the significance of PDT in improving the outcomes of ECC patients. Information sources: We will search the PubMed, Cochrane Library, Embase, Web of science, CBM, CNKI, and Wanfang Data. All searches on these databases will be conducted from their inception to July 2022. We will also perform a manual search using the Google scholar and track the bibliographies of potentially included article to retrieve relevant gray literatures.
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Mehta, Ketan, Salvatore Francomacaro, Ramaswamy Chandramouli, and Sarbari Gupta. Interfaces for personal identity verification :. National Institute of Standards and Technology (U.S.), 2024. http://dx.doi.org/10.6028/nist.sp.800-800-73pt1-5.

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FIPS 201 defines the requirements and characteristics of government-wide interoperable identity credentials for use in applications that provide access to federally controlled facilities and information systems. FIPS 201 supports multiple types of authenticators, including authenticators on smart cards (also known as PIV Cards). The 3-part SP 800-73 contains the technical specifications to interface with PIV Cards to retrieve and use identity credentials.This document — SP 800-73pt1-5, Interfaces for Personal Identity Verification: Part 1 – PIV Card Application Namespace, Data Model, and Representation specifies the PIV Card Application Namespace, the PIV Data Model, and its logical representation on the PIV Card. [Supersedes SP 800-73-4 (February 2016): https://www.nist.gov/manuscript-publication-search.cfm?pub_id=920323]
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Mehta, Ketan, Salvatore Francomacaro, Ramaswamy Chandramouli, and Sarbari Gupta. Interfaces for personal identity verification :. National Institute of Standards and Technology (U.S.), 2024. http://dx.doi.org/10.6028/nist.sp.800-800-73pt3-5.

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FIPS 201 defines the requirements and characteristics of government-wide interoperable identity credentials for use in applications that provide access to federally controlled facilities and information systems. FIPS 201 supports multiple types of authenticators, including authenticators on smart cards (also known as PIV Cards). The 3-part SP 800-73 contains the technical specifications to interface with PIV Cards to retrieve and use identity credentials.This document — SP 800-73pt1-5, Interfaces for Personal Identity Verification: Part 1 – PIV Card Application Namespace, Data Model, and Representation specifies the PIV Card Application Namespace, the PIV Data Model, and its logical representation on the PIV Card. [Supersedes SP 800-73-4 (February 2016): https://www.nist.gov/manuscript-publication-search.cfm?pub_id=920323]
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Spelter, Henry, and Sujata Ghosh. Northeast economic data and retrieval system. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 1993. http://dx.doi.org/10.2737/fpl-gtr-78.

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Stearns, S. D. Storage and retrieval of nuclear test data. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/211588.

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Rowe, Neil C., and Eugene J. Guglielmo. Exploiting Captions in Retrieval of Multimedia Data. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada255184.

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Zhao, C., S. Xie, SA Klein, et al. ARM Cloud Retrieval Ensemble Data Set (ACRED). Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1024213.

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Kim, Kyung-Chang, and Vincent Y. Lum. Towards Intelligent Data Retrieval in Multimedia Databases. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada243323.

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