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Emoji is now a popular inclusion in technology-mediated communication and a part of everyday expression of users. Yet, there is a dearth of scientifically designed research studies focussing on the human implications of the use of emojis. Limited systematic inquiry in this area is restricted to technical studies focussing on algorithm analysis of humongous quantitative data ignoring the people who are posting these emojis. Therefore, in the present study, an attempt is made to study the use of emojis from an individual’s behavioural perspective borrowing from the classic ‘contagion theory’ and the ‘information-signal theory’. A mixed research approach was adopted to study young university student’s emoji usage behaviour. Focus group discussion (FGD) was conducted on 11 participants with an average age of 22.5 years. The discussion was transcribed and thematic analysis was then conducted from which a survey instrument was developed which was administered to 250 university students. These survey data were then analysed using exploratory factor analysis. Results show that social media platforms, linguistic pattern, social relationships, emotional connect and level of formality and gender emerged as important factors that drive emoji usage. The findings of the study indicate the psychological implications and socio-behavioural impact of emoji usage which can be used for creating regulations and norms. What appears to be casual pictorial supplement of textual messages holds the power to be developed as a stand-alone language which could impact the usage of language-dependent communication.
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Langham, S., N. Pooley, and S. Weir. "Mapping European Database Usage: An Analysis of Published Data Types." Value in Health 17, no. 7 (November 2014): A553. http://dx.doi.org/10.1016/j.jval.2014.08.1812.
The popularity of cloud computing technology is increasing tremendously. There is no disagreement about the effectiveness of the data storage and the data transition techniques of clouds. Earlier it used distributed computing just for sharing resources. However, with technology advancement, cloud computing has become more and more powerful as well as more adaptive in various business sectors. However, with the increase in number of users, there is also an increase in the security threats affecting the users’ privacy, personal data, identity and confidentiality. In this paper, we have aimed at categorizing security and privacy threats based on the kind of usage of cloud. We have also presented an algorithm to find the appropriate solution to address the security and privacy related issues as per the usage category. This paper helps in improving security and privacy of cloud technology users without compromising the benefits of data storage.
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Savin, I. Yu. "Usage of satellite data for soil mapping: modern tendencies and problems." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 13, no. 6 (2016): 29–39. http://dx.doi.org/10.21046/2070-7401-2016-13-6-29-39.
A security indicator is a sign that shows us what something is like or how a situation is changing and can aid us in making informed estimations on cyber risks. There are many different breeds of security indicators, but, unfortunately, they are not always easy to apply due to a lack of available or credible sources of data. This paper undertakes a systematic mapping study on the academic literature related to cyber security indicator data. We identified 117 primary studies from the past five years as relevant to answer our research questions. They were classified according to a set of categories related to research type, domain, data openness, usage, source, type and content. Our results show a linear growth of publications per year, where most indicators are based on free or internal technical data that are domain independent. While these indicators can give valuable information about the contemporary cyber risk, the increasing usage of unconventional data sources and threat intelligence feeds of more strategic and tactical nature represent a more forward-looking trend. In addition, there is a need to take methods and techniques developed by the research community from the conceptual plane and make them practical enough for real-world application.
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IJMTST061248. "Automated User Behavior Mapping Using Web Usage Mining." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 13, 2020): 257–61. http://dx.doi.org/10.46501/ijmtst061247.
Automated User Behavior Mapping is an application of web usage mining using which we can see the real-time behavior of end user visiting a particular web page automatically. The technologies used in this are socket programming for real-time communication between the server and the user accessing the website for collection of web log data and selenium web driver for automating the user behavior using web log files.
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Sawłuk, Karol, and Marek Miłosz. "Comparison of object-relational data mapping technology in Symfony 3 framework." Journal of Computer Sciences Institute 8 (November 30, 2018): 235–40. http://dx.doi.org/10.35784/jcsi.687.
The article presents the results of a comparative analysis of object-relation mapping technologies in the framework Symfony 3: Doctrine and Propel. The analysis was performed in terms of script execution speed and memory usage during database operations. The analysis allowed to identify the technology with faster and more efficient algorithms. Doctrine is up to three times faster than Propel.
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Hecht, Robert, Matthias Kalla, and Tobias Krüger. "Crowd-sourced data collection to support automatic classification of building footprint data." Proceedings of the ICA 1 (May 16, 2018): 1–7. http://dx.doi.org/10.5194/ica-proc-1-54-2018.
Human settlements are mainly formed by buildings with their different characteristics and usage. Despite the importance of buildings for the economy and society, complete regional or even national figures of the entire building stock and its spatial distribution are still hardly available. Available digital topographic data sets created by National Mapping Agencies or mapped voluntarily through a crowd via Volunteered Geographic Information (VGI) platforms (e.g. OpenStreetMap) contain building footprint information but often lack additional information on building type, usage, age or number of floors. For this reason, predictive modeling is becoming increasingly important in this context. The capabilities of machine learning allow for the prediction of building types and other building characteristics and thus, the efficient classification and description of the entire building stock of cities and regions. However, such data-driven approaches always require a sufficient amount of ground truth (reference) information for training and validation. The collection of reference data is usually cost-intensive and time-consuming. Experiences from other disciplines have shown that crowdsourcing offers the possibility to support the process of obtaining ground truth data. Therefore, this paper presents the results of an experimental study aiming at assessing the accuracy of non-expert annotations on street view images collected from an internet crowd. The findings provide the basis for a future integration of a crowdsourcing component into the process of land use mapping, particularly the automatic building classification.
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Diener, Matthias, Eduardo H. M. Cruz, Laércio L. Pilla, Fabrice Dupros, and Philippe O. A. Navaux. "Characterizing communication and page usage of parallel applications for thread and data mapping." Performance Evaluation 88-89 (June 2015): 18–36. http://dx.doi.org/10.1016/j.peva.2015.03.001.
Otto, J. C., K. Kleinod, O. König, M. Krautblatter, M. Nyenhuis, I. Roer, M. Schneider, B. Schreiner, and R. Dikau. "HRSC-A data: a new high-resolution data set with multipurpose applications in physical geography." Progress in Physical Geography: Earth and Environment 31, no. 2 (April 2007): 179–97. http://dx.doi.org/10.1177/0309133307076479.
The analysis and interpretation of remote sensing data facilitates investigation of land surface complexity on large spatial scales. We introduce here a geometrically high-resolution data set provided by the airborne High Resolution Stereo Camera (HRSC-A). The sensor records digital multispectral and panchromatic stereo bands from which a very high-resolution ground elevation model can be produced. After introducing the basic principles of the HRSC technique and data, applications of HRSC data within the multidisciplinary Research Training Group 437 are presented. Applications include geomorphologic mapping, geomorphometric analysis, mapping of surficial grain-size distribution, rock glacier kinematic analysis, vegetation monitoring and three-dimensional landform visualization. A final evaluation of the HRSC data based on three years of multipurpose usage concludes this presentation. A combination of image and elevation data opens up various possibilities for visualization and three-dimensional analysis of the land surface, especially in geomorphology. Additionally, the multispectral imagery of the HRSC data has potential for land cover mapping and vegetation monitoring. We consider HRSC data a valuable source of high-resolution terrain information with high applicability in physical geography and earth system science.
Ramos, milis Guilherme. "Apport des mesures des compteurs Linky pour la connaissance des charges du réseau de distribution." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT021.
Le réseau de distribution occupe une place centrale dans la transition énergétique. Cela se traduit par deux modifications clés pour le réseau : une (r)évolution des usages et une (r)évolution numérique. Dans ce contexte, cette thèse commence par dresser une nouvelle cartographie des usages des données provenant des compteurs intelligents. À partir de cette cartographie, la thèse va approfondir deux thématiques centrales d'une grande importance dans le contexte de transition énergétique. La première est une analyse du coefficient de foisonnement des charges Basse Tension (BT) et de son estimation. La seconde concerne l'estimation des courbes de charge des clients du réseau BT à partir d'une méthode innovante The distribution grid occupies a central position in the energy transition. This results in two key changes for the network: an (r)evolution of uses and a digital (r)evolution. In this context, this thesis begins by creating a new mapping of the uses of data from smart meters. Building upon this mapping, the thesis will delve into two central themes of great importance in the context of energy transition. The first is an analysis of the Diversity Factor of Low Voltage (LV) charges and its estimation. The second involves estimating the load curves of customers on the LV grid using an innovative method
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Suljevic, Benjamin. "Mapping HW resource usage towards SW performance." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44176.
With the software applications increasing in complexity, description of hardware is becoming increasingly relevant. To ensure the quality of service for specific applications, it is imperative to have an insight into hardware resources. Cache memory is used for storing data closer to the processor needed for quick access and improves the quality of service of applications. The description of cache memory usually consists of the size of different cache levels, set associativity, or line size. Software applications would benefit more from a more detailed model of cache memory.In this thesis, we offer a way of describing the behavior of cache memory which benefits software performance. Several performance events are tested, including L1 cache misses, L2 cache misses, and L3 cache misses. With the collected information, we develop performance models of cache memory behavior. Goodness of fit is tested for these models and they are used to predict the behavior of the cache memory during future runs of the same application.Our experiments show that L1 cache misses can be modeled to predict the future runs. L2 cache misses model is less accurate but still usable for predictions, and L3 cache misses model is the least accurate and is not feasible to predict the behavior of the future runs.
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Kamuhanda, Dany. "Visualising M-learning system usage data." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/11015.
Data storage is an important practice for organisations that want to track their progress. The evolution of data storage technologies from manual methods of storing data on paper or in spreadsheets, to the automated methods of using computers to automatically log data into databases or text files has brought an amount of data that is beyond the level of human interpretation and comprehension. One way of addressing this issue of interpreting large amounts of data is data visualisation, which aims to convert abstract data into images that are easy to interpret. However, people often have difficulty in selecting an appropriate visualisation tool and visualisation techniques that can effectively visualise their data. This research proposes the processes that can be followed to effectively visualise data. Data logged from a mobile learning system is visualised as a proof of concept to show how the proposed processes can be followed during data visualisation. These processes are summarised into a model that consists of three main components: the data, the visualisation techniques and the visualisation tool. There are two main contributions in this research: the model to visualise mobile learning usage data and the visualisation of the usage data logged from a mobile learning system. The mobile learning system usage data was visualised to demonstrate how students used the mobile learning system. Visualisation of the usage data helped to convert the data into images (charts and graphs) that were easy to interpret. The evaluation results indicated that the proposed process and resulting visualisation techniques and tool assisted users in effectively and efficiently interpreting large volumes of mobile learning system usage data.
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Romaniuk, Helena. "Analysis of product usage panel data." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326798.
Densham, Martin. "Bathymetric mapping with QuickBird data /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FDensham.pdf.
Thesis (M.S. in Physical Oceanography)--Naval Postgraduate School, September 2005. Thesis Advisor(s) :Philip A. Durkee, Edward B. Thornton. Includes bibliographical references (p. 43-44). Also available online.
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Currie, Sheila. "Data classification for choropleth mapping." Thesis, University of Ottawa (Canada), 1989. http://hdl.handle.net/10393/5725.
Densham, Martin P. J. "Bathymetric mapping with QuickBird data." Thesis, Monterey, California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/2121.
Two algorithms are used to determine bathymetry in the littoral region using QuickBird multispectral satellite observations. The algorithms determine water-leaving radiance and convert this to water depth values. The first algorithm uses a ratio of two wavebands and the second uses the sum of several wavebands. Relative bathymetric errors are determined for the clear water of Looe Key (USA) and the turbid water of Plymouth Sound (UK). Bathymetric measurements from LIDAR and chart data are compared to derived depths to assess their accuracies. An amended version of the ratio method is proposed for use in turbid water to improve accuracy. The results show that the standard ratio and turbidity algorithms have a relative error of 11.7% and 16.5% respectively in clear water. In turbid water the average error of the turbidity algorithm is 11.6% and the amended ratio algorithm average error is 13%. Royal Navy
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Fletcher, George H. L. "On the data mapping problem." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3276692.
Olsson, Marcus. "Data Warehouse : An Outlook of Current Usage of External Data." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-682.
A data warehouse is a data collection that integrates large amounts of data from several sources, with the aim to support the decision-making process in a company. Data could be acquired from internal sources within the own organization, as well as from external sources outside the organization.
The comprehensive aim of this dissertation is to examine the current usage of external data and its sources for integration into DWs, in order to give users of a DW the best possible foundation for decision-making. In order to investigate this problem, we have conducted an interview study with DW developers.
Based on the interview study, the result shows that it is relative common to integrate external data into DWs. The study also identifies different types of external data that are integrated, and what external sources it is common to acquire data from. In addition, opportunities and pitfalls of integrating external data have also been highlighted.
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Onojeghuo, Alex Okiemute. "Reedbed mapping using remotely sensed data." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577547.
In the UK reedbeds dominated by Phragmites australis have been identified as a priority habitat for most regional Biodiversity Partnerships. Information on the current distribution and quality of reedbed sites across the UK is lacking, yet such information is vital in developing suitable management plans for the conservation and expansion of this threatened habitat. The focus of this thesis is to develop a suitable methodology for accurately mapping the distribution and assessing the biophysical properties of reedbed habitats using remotely sensed data. Three study sites situated in the North West region of the UK were used: Leighton Moss nature reserve in Lancashire, and the River Leven and Esthwaite Water situated in Cumbria. The remotely sensed data used in this study included high-resolution satellite and airborne imagery and ground-based spectral data. Results of the first analytical chapter (i.e. chapter 3) demonstrated the potential of using high resolution QuickBird multi spectral satellite imagery to derive accurate maps of reedbeds through appropriate analysis of image texture, careful selection of input bands, spatial degradation of input bands, selection of a suitable classification algorithm and post-classification refinement using terrain data. Results of the second analytical chapter (chapter 4) demonstrated the benefits of using multi-seasonal images over single-date images and the effectiveness of incorporating spectral bands with textural measures. Through careful selection of appropriate classification technique, the input image datasets could be used to generate optimal reedbed maps. The results of the multi-seasonal reedbed mapping experiment conducted using QuickBird imagery was the basis for the field spectrometry experiment. The study aimed at monitoring and understanding variations in the spectral reflectance and biophysical properties of reedbeds canopies throughout the seasonal phenological cycle and to identify the optimal spectral indices for quantifying biophysical properties (chapter five ). The results of the experiment indicated that the narrow- band derived Difference Vegetation Index (DV I) and Renormalised Difference Vegetation Index (RDVI) provided the most accurate e'~~iIi1~tes of the leaf area index (LAl) for reedbed canopies (r = 0.77 and 0.72 respectively). Having observed the limitations of accurately deriving canopy heights from experiments conducted in chapter 5, the potential for quantifying canopy biophysical properties from light detection and radar (LiDAR) data (elevation and intensity) was investigated in chapter 6. The study demonstrated some of the potential and limitations of using LiDAR data for characterising reedbed canopies. A canopy height model (CHM) was generated by subtracting the Ordnance Survey (OS) derived digital terrain model (DTM) from the LiDAR- derived digital surface model (DSM). The density of first return points was high for reedbeds and these were able to generate an accurate CHM, when validated against field measurements. LiDAR intensity data displayed specular reflection along the centre of the flight line over reedbeds and water bodies, but not for other land cover/vegetation types. The LiDAR intensity data showed potential for containing considerable information on reedbed canopy structure and pattern that is valuable from an ecological perspective. Results of the final analytical chapter (chapter 7) demonstrated the value in combining appropriately compressed hyperspectral imagery with LiDAR data for the effective mapping of reedbed habitats. The most effective image compression technique was the spectrally segmented principal component analysis (SSPCA), which had the optimal combination of reedbed accuracy and processing efficiency. A substantial improvement in the accuracy of reedbed delineation was achieved when a mask generated by applying a 3m threshold to the LiDAR- derived CHM was used to filter the reedbed map derived from the optimal SSPCA image dataset. Based on the fmdings of chapter 5 and 6, the hyperspectral and LiDAR data was used to derive LAI and canopy height (CH) maps of reedbeds respectively, two vital biophysical measures needed in estimating the quality of reedbed canopies. Hence, this study is a step forward in utilizing spectral, spatial and structural data contained in remotely sensed data for the mapping of reedbed quantity and quality. This research has demonstrated the potential of using remotely sensed data, complemented with adequate ground based information for mapping the spatial extent and quality of reedbed canopies in three specific sites across the North " West region in the UK. Based on the success with a specific habitat type, suggestions are made to further expand these techniques to explore fine scale mapping of more habitats using remotely sensed data of high spatial resolution. Hence, two major studies are recommended for future work, namely (1) updating the Phase 1 habitat survey map using remote sensing techniques, and (2) the integration of high spatial resolution satellite imagery (hyperspectral or QuickBird) and LiDAR data for vegetation mapping and deriving biophysical measures.
National Research Council (U.S.). Committee on Floodplain Mapping Technologies. Elevation data for floodplain mapping. Washington, DC: National Academies Press, 2007.
Hartemink, Alfred E., Alex McBratney, and Maria de Lourdes Mendonça-Santos, eds. Digital Soil Mapping with Limited Data. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8592-5.
1964-, Hartemink Alfred E., McBratney A. B, and Mendonça-Santos Maria de Lourdes, eds. Digital soil mapping with limited data. Dordrecht: Springer, 2008.
United States. National Aeronautics and Space Administration., ed. Some issues in data model mapping. Lafayette, La: University of Southwestern Louisiana, Center for Advanced Computer Studies, 1989.
Diebold, Philipp. "Initial Data Triangulation of Agile Practices Usage: Comparing Mapping Study and Survey Results." In Product-Focused Software Process Improvement, 269–72. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13835-0_19.
Alkevli, Tolga, and Murat Ercanoğlu. "Usage of ASTER Level 3A Stereo Data in Landslide Inventory Mapping: Visual Determination Versus Fieldwork." In Landslide Science and Practice, 163–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31325-7_21.
Becker, Tilman. "Big Data Usage." In New Horizons for a Data-Driven Economy, 143–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21569-3_8.
Jung, Christian, and Jörg Dörr. "Data Usage Control." In Designing Data Spaces, 129–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93975-5_8.
AbstractData-driven business models are based on sharing and exchanging data. However, to establish a trustworthy and secure data exchange between different organizations, we have to tackle several challenges. Data sovereignty, for instance, is an essential prerequisite to empower data-driven business models across different organizations. The International Data Spaces provide solutions for data sovereignty to implement a secure and trustworthy data economy.In this chapter, we focus on data usage control and data provenance as building blocks to solve data sovereignty challenges. We introduce concepts and technology for realizing usage control and describe the differences between usage control and access control as well as other related concepts such as digital rights management or user managed access. We present the implementation of data sovereignty in the International Data Spaces starting from the formalization of data usage restrictions as policies (i.e., the policy specification) to the technical compliance and adherence of the data usage restrictions (i.e., the policy enforcement). In doing so, we present the transformation of data usage restrictions to machine-readable policies that can be enforced by the systems. Different technologies, such as the MY DATA Control Technologies can be used to implement the enforcement of data sovereignty in a technical manner and discuss future expansion stages of implementing data sovereignty.
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Beckner, Mark. "Mapping Data." In BizTalk 2010 EDI for Health Care, 39–53. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5020-3_4.
Carruthers, Andrew, and Sahir Ahmed. "Usage Reporting." In Maturing the Snowflake Data Cloud, 205–44. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9340-9_6.
Liu, Bing, Bamshad Mobasher, and Olfa Nasraoui. "Web Usage Mining." In Web Data Mining, 527–603. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19460-3_12.
Тези доповідей конференцій з теми "Mapping of data usage":
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Vieira, Roger Denis, and Kleinner Farias. "Usage of Psychophysiological Data as an Improvement in the Context of Software Engineering: A Systematic Mapping Study." In SBSI'20: XVI Brazilian Symposium on Information Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3411564.3411580.
Ferraz, Fabio G., Oberti Almeida, Fernando Sarracini Jr, Paulo Bisneto, and Jonathan Lima. "The usage of connected vehicle data combined with data analytics methods on the quality impacting factors mapping for engine and transmission mounts." In SAE BRASIL 2022 Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2022-36-0067.
Ibraheem, I. F. "Remote sensing data and environmental parameters usage for the establishment of a mapping of solar energy potential in Iraq." In CONFERENCE ON MATHEMATICAL SCIENCES AND APPLICATIONS IN ENGINEERING: CMSAE-2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0149069.
Macon, C. L. "USACE National Coastal Mapping Program and the next generation of data products." In OCEANS 2009. IEEE, 2009. http://dx.doi.org/10.23919/oceans.2009.5422169.
Yang, Xingtong, Ming Li, Liangchao Zhu, and Weidong Zhong. "Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-68487.
Abstract Multi-material topology optimization problem under total mass constraint is a challenging problem owning to the incompressibility constraint on the summation of the usage of the total materials. A novel optimization approach is proposed here that utilizes the wide search space of the genetic algorithm, and greatly reduced computational effects achieved from the direct structure-performance mapping. The former optimization is carefully designed based on our recent theoretical insights, while the latter simulation is derived via a novel convolutional neural network based simulation which does not rely on any labeled simulation data but is instead designed based on a physics-informed loss function. As compared with results obtained using latest approach based on density interpolation, structures of better compliances are observed under acceptable computational costs, as demonstrated by our numerical examples.
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Walther, Tino, and Hans-Joachim Bargstädt. "Automated data acquisition to show the actual performance during the construction process." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1565.
<p>In times of workplace digitalization, Building Information Modeling (BIM) is indispensable to the construction industry due to the potential of consistent data tracking and usage. Based on a dynamic working environment as well as specific internal requirements of individual companies, object-oriented planning and processing with BIM-methods still needs adaptation efforts in order to be widely acceptable in the realization phase and on the construction site. Thus, the mapping of actual data on site is deemed the “Achilles’ heel” of successful project control.</p><p>This paper presents a concept for automated data acquisition in complex infrastructure construction sites – especially regarding the processes of road construction and earthworks – with emphasis on different innovative digital methods from which actual values regarding the construction progress can be derived and compared to a target model or digital twin. The objective is to avoid subjective misinterpretations, minimize project risks and turn the project into a more responsible enterprise altogether.</p>
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Peng, Tristan, and Hongchan Choi. "SIREN: A Case Study in Web Audio Based Sonification." In ICAD 2021: The 26th International Conference on Auditory Display. icad.org: International Community for Auditory Display, 2021. http://dx.doi.org/10.21785/icad2021.042.
SIREN is an open-source, web-based sonification workstation that provides an accessible entry point to data mapping sonification and aims to demonstrate a use case for the Web Audio API. With plug-and-play functionality, and numerous methods to customize and create meaningful auditory display, SIREN provides useful features for pedagogy, methods for exploratory data sonification, and an extensible, open-ended development platform. Inspired by common digital audio workstation (DAW) workflows, SIREN provides a familiar and intuitive layout based upon data matrices as tracks that can be chained together as channels, thus allowing values in one data sequence to control a parameter of another data array. This paper describes the application’s design philosophy and provides a case study as usage examples. We place the program in a comparative context with other data-mapping front-ends, and describe future goals.
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Lall, Pradeep, Kazi Mirza, Mahendra Harsha, Jeff Suhling, and Kai Goebel. "Method for Assessment of Prolonged and Intermittent Storage on Reliability of Leadfree Electronics Using Leading Indicators." In ASME 2013 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ipack2013-73309.
Electronic systems may be subjected to prolonged and intermittent periods of storage prior to deployment or usage. Prior studies have shown that leadfree solder interconnects show measurable degradation in the mechanical properties even after brief exposures to high temperature. In this paper, a method has been developed for the determining equivalent storage time to produce identical damage at a different temperature. Electronics subjected to accelerated tests often have a well-defined thermal profile for a specified period of time. Quantification of the thermal profile in field deployed electronics may be often difficult because of variance in the environment conditions and usage profile. There is need for tools and techniques to quantify damage in deployed systems in absence of macro-indicators of damage without knowledge of prior stress history. Approach for mapping damage in leadfree second-level interconnects under between thermal conditions is new. High reliability applications such as avionics and missile systems may be often exposed to long periods of storage prior to deployment. Effect of storage at different temperature conditions can be mapped using the presented approach. A framework has been developed to investigate the system state and estimate the remaining useful life of solder ball subjected to a variety of isothermal aging conditions including 60°C, 75°C and 125°C for periods of time between 1-week and 4-week. Data on damage precursors has been collected and analyzed to derive physics based damage mapping relationships for aging. Mathematical relationships have been derived for the damage mapping to various thermal storage environments to facilitate determining appropriate time-temperature combination to reach a particular level of damage state. Activation energy for the leading indicators of failure is also computed. Specific damage proxies examined include the phase-growth indicator and the intermetallic thickness. The viability of the approach has been demonstrated for leadfree test assemblies subjected to multiple thermal aging at 60° C, 75°C and 125°C. Damage mapping relationships are derived from data based on the two separate leading indicators.
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de Beca, Miguel Ferro, Joao Sarraipa, Carlos Agostinho, and Ricardo Jardim-Goncalves. "Tuple-Based Morphisms for E-Procurement Solutions." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48997.
The need to collaborate and establish partnerships to reach global business and markets is more common than ever amongst competitive companies, in particular, manufacturers. This need has required that businesses procure their supply needs on a global scale, thus forcing them to interact with a wide variety of potential suppliers coming from various countries. The advent of e-procurement has facilitated the exchange of procurement information amongst suppliers and their clients. However, due to the great variety of different sources of data models and semantics, businesses still face some difficulties exchanging vital information electronically and seamlessly. This situation is even worse with the advent of the evolution of the enterprise systems and applications, whose dynamics result in increasing the interoperability problem due to the continuous need for model adjustments and semantics harmonization. In order to contribute to a long term stable interoperable enterprise operating environment and facilitate the usage of existing and future e-procurement solutions, the authors propose the integration of traceability functionalities in information systems as a way to support such sustainability. Data, semantic, and structural mappings between partner enterprises should be modelled as tuples, and stored in a ‘Mediator Knowledge Base’ for communication support with reasoning capabilities, thus allowing to trace, monitor and support the stability maintenance of a system’s interoperable state. The mapping stored also contains an ATL code expression, which with the aid of model transformation tools, can be utilized to perform the mapping between two different enterprise data models, thus facilitating future automation.
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Venkatesh, Karthik, Abhishek Srivastava, Rahul Rai, and Bernhard Knigge. "Scratch Detection on Hard Disk Drive Media to Reduce Head Disk Interaction and Prevent Data Loss." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65295.
Abstract Accurately detecting irregularities in the media — thermal asperities and delamination — and mapping them out from further usage is critical to prevent data loss and minimize head disk interaction (HDI). Defect growth is a common concern in hard disk drives (HDD) and the immediate vicinity of media defects are also mapped out to provide sufficient protection against defect growth. A class of media defects that prove more complex to protect against defect growth is scratches on the media. Margining a media scratch involves filling in the gaps between the components of a scratch and margining the vicinity of the scratch in the defect growth direction. While Hough transform based techniques and deeplearning models have been developed to identify media patterns, they cannot be implemented in the hard disk drive firmware due to memory and computational limitations. Here, we present a computationally simple and efficient alternative to identify scratches on the media by combining clustering and an iterative parameter estimation to fit a line to the scratch in noisy conditions. The result is a method that is capable of modeling linear, spiral and parabolic scratches on a media and fill gaps in the scratch and extend the margining at either end of the scratch.
Звіти організацій з теми "Mapping of data usage":
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Shehabi, Arman, Sarah Smith, Dale Sartor, Richard Brown, Magnus Herrlin, Jonathan Koomey, Eric Masanet, Nathaniel Horner, Inês Azevedo, and William Lintner. United States Data Center Energy Usage Report. Office of Scientific and Technical Information (OSTI), June 2016. http://dx.doi.org/10.2172/1372902.
Rush, Luke, Matthews Cribioli, David Gohlke, Yan Zhou, Jarod Kelly, and Xinyi Wu. Shared Mobility Data Availability and Usage Trends. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1867694.
Newton, A., B. Ellacott, and N. Kong. HTTP Usage in the Registration Data Access Protocol (RDAP). RFC Editor, March 2015. http://dx.doi.org/10.17487/rfc7480.
Kantipudi, Rajsanjyot. Business insights of user usage records of data cards. Ames (Iowa): Iowa State University, January 2020. http://dx.doi.org/10.31274/cc-20240624-329.
De Moustier, Christian. Mapping Bathymetric Slopes from Bathymetry Data. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada265923.
Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.
The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management system and COGNOS Corporations POWERHOUSE 4th generation language. This paper addresses the need for, and the advantages of using a strong engineering approach to data modeling and describes the use of the NIAM methodology in NGIS development. The paper identifies the relationship between the data mode!, data structures, the design and development of a database and the use of automated tools for systems development. In conclusion, critical success factors for the continuation of the N.G.I.S. developments are identified and the benefits that will accrue are enumerated.
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Jackson, Samuel, Christina Saltus, Molly Reif, and Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), September 2023. http://dx.doi.org/10.21079/11681/47649.
Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem conditions and changes. This study involves the extraction of vegetation metrics from airborne lidar and hyperspectral imagery (HSI) collected by the US Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) to quantify coastal dune vegetation characteristics. A custom geoprocessing toolbox and associated suite of tools were developed to allow inputs of common NCMP lidar and imagery products to help automate the workflow for extracting prioritized dune vegetation metrics in an efficient and repeatable way. This study advances existing coastal ecosystem knowledge and remote sensing techniques by developing new methodologies to classify, quantify, and estimate critical coastal vegetation metrics which will ultimately improve future estimates and predictions of nearshore dynamics and impacts from disturbance events.
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Livingston, Olga, Trenton Pulsipher, and David Anderson. Commercial Building Tenant Energy Usage Data Aggregation and Privacy: Technical Appendix. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1164203.
