Relevant bibliographies by topics / Getting to Know Your Data

Academic literature on the topic 'Getting to Know Your Data'

Author: Grafiati
Published: 27 July 2024
Last updated: 28 July 2024

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Journal articles on the topic "Getting to Know Your Data"

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Slonim, Anthony. "Data, Data Everywhere…." Physician Leadership Journal 10, no. 6 (November 2023): 5–7. http://dx.doi.org/10.55834/plj.1530336471.

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It seems that everyone is in pursuit of an organization’s data, which have become the commodity for healthcare. Physician leaders should ensure that before sharing this valuable commodity, they are getting the most out of their little data for the benefit of their patients, organizations, and communities. Count your change so that you know beforehand what benefits your organization and community can expect from data-sharing and how those benefits will be derived and measured.
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Strutchens, Marilyn E. "Take Time for Action: Data Collection: Getting to Know Your Students' Attitudes." Mathematics Teaching in the Middle School 4, no. 6 (March 1999): 382–84. http://dx.doi.org/10.5951/mtms.4.6.0382.

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DO YOUR STUDENTS LIKE MATHEmatics? Are they confident in their ability to do mathematics? All too often, we focus on ensuring that students develop mathematical content knowledge, paying little attention to such affective issues as students' attitudes toward mathematics and their beliefs about their abilities to do mathematics. Yet instruction affects students' attitudes toward, and beliefs about, mathematics; likewise students' attitudes influence mathematics instruction (McLeod 1992; Reyes 1980). Students should learn to value mathematics and become confident in their ability to do mathematics (NCTM 1989).
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Suh, Eugene, Erika D. Owen, Jennifer Reichek, Betty Roggenkamp, Julia Rachel Trosman, Tara O. Henderson, Nupur Mittal, et al. "“Getting to Know You and Your Child” screening questionnaire: Results from a Chicago pediatric collaborative." Journal of Clinical Oncology 36, no. 30_suppl (October 20, 2018): 163. http://dx.doi.org/10.1200/jco.2018.36.30_suppl.163.

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163 Background: In 2012, a congressional symposium identified the need for services to address psychosocial issues of children with cancer. In 2013, the Institute of Medicine recommended supportive oncology services be initiated at cancer diagnosis. Chicago providers of pediatric cancer are collaborating to improve care for children with cancer and their families focusing on psychosocial stressors and quality of life. Methods: The collaborative conducted a structured review of tools: Psychosocial Assessment Tool (PAT), Social Work Assessment Tool (SWAT), National Comprehensive Cancer Network (NCCN) Problem List, and √IN; with input from providers on stressors throughout the care continuum. The resulting screening tool was created and piloted in English and Spanish at 7 pediatric cancer hospitals. Social workers (SW) informally reported assessment of its usefulness. Results: Parents (n = 85) completed “Getting to Know You and Your Child” screening tool which inquired about caregivers, siblings, child’s interests, school, SSI/SNAP, challenges, and cultural/religious preferences. Providers reported families found the tool useful “to think about support needs.” The tool assessed 12 psychosocial stressors; the mean per patient/family was 2.4 (range 0-11). Most frequent stressors included: lack of support from friends, family, community (29%), paying for food (26%), job flexibility (26%), paying for utilities (25%), medical costs (23%), emotional support for family (22%), school concerns (21%). All who reported temporary residence also reported difficulty paying for housing (p < 0.01). Ten SWs reported this screening tool generated new insight into family structures, identified stressors and informed resolution efforts. Provider recommended adjustments to the screening tool: simplify terms for siblings, hobbies and spiritual, add pet question. Conclusions: Pilot testing of a psychosocial screening tool for pediatric and adolescent oncology informed providers of patient/family needs in a standard manner. Six of the seven pilot sites are implementing this tool as a standard practice. Preliminary data suggests patients and providers find the screener easy to use and informative.
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Boerlin, Martin, Tobi Delbruck, and Kynan Eng. "Getting to Know Your Neighbors: Unsupervised Learning of Topography from Real-World, Event-Based Input." Neural Computation 21, no. 1 (January 2009): 216–38. http://dx.doi.org/10.1162/neco.2009.06-07-554.

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Biological neural systems must grow their own connections and maintain topological relations between elements that are related to the sensory input surface. Artificial systems have traditionally prewired such maps, but the sensor arrangement is not always known and can be expensive to specify before run time. Here we present a method for learning and updating topographic maps in systems comprising modular, event-based elements. Using an unsupervised neural spike-timing-based learning rule combined with Hebbian learning, our algorithm uses the spatiotemporal coherence of the external world to train its network. It improves on existing algorithms by not assuming a known topography of the target map and includes a novel method for automatically detecting edge elements. We show how, for stimuli that are small relative to the sensor resolution, the temporal learning window parameters can be determined without using any user-specified constants. For stimuli that are larger relative to the sensor resolution, we provide a parameter extraction method that generally outperforms the small-stimulus method but requires one user-specified constant. The algorithm was tested on real data from a 64 × 64-pixel section of an event-based temporal contrast silicon retina and a 360-tile tactile luminous floor. It learned 95.8% of the correct neighborhood relations for the silicon retina within about 400 seconds of real-world input from a driving scene and 98.1% correct for the sensory floor after about 160 minutes of human pedestrian traffic. Residual errors occurred in regions receiving little or ambiguous input, and the learned topological representations were able to update automatically in response to simulated damage. Our algorithm has applications in the design of modular autonomous systems in which the interfaces between components are learned during operation rather than at design time.
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Downing, Jaye, Christine Gallego, Sam Luna, Karolyn Williams, Dora Saldamando, and Grace Tapia-Beltrán. "Math by the Month: All about Me." Teaching Children Mathematics 15, no. 1 (August 2008): 32–33. http://dx.doi.org/10.5951/tcm.15.1.0032.

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“Math by the Month” activities are designed to engage students to think as mathematicians do. Students may work on the activities individually or in small groups, or the whole class may use them as problems of the week. No solutions are suggested, so students look to themselves for mathematical justification and develop confidence to validate their work. August means getting ready for a new school year, catching up with old friends, and making new acquaintances. The following activities are designed to help you and your students get to know one another through mathematical investigations involving number sense and operations, collecting and representing data, geometry, measurement, logic, communication, and representation.
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Prasad, D., K. Sowjan kumar, B. Nagaraju, and K. V. Sivareddy. "Internet business Information The board." International Journal of Innovative Research in Engineering and Management 8, no. 6 (November 28, 2021): 1147–51. http://dx.doi.org/10.55524/ijirem.2021.8.6.227.

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Product management is crucial for e-commerce businesses, and it can help you crush the competition if you have the correct e-commerce data management software in place. You are only as successful in the realm of online commerce as the administration of your product data. Data is the new money in the online and digital world. You can outperform your rivals and boost your profitability if you know how to use it to your advantage. Ecommerce data management, to put it simply, is a highly collaborative and organised modern system that assists you in managing, sharing, and accessing vast quantities of essential product data that are highly valuable to your company. By allowing you to respond to market demands more swiftly, effective data management also aids in keeping you competitive. When meeting the needs of your consumers, EDM enables you to work more efficiently and with less time and human mistake [13]. Product Data Management is a structured approach to assist in managing, gaining access to, and disseminating vast amounts of essential product data that is highly beneficial to your company. The product catalog, attributes, product content, and the consumer data gathered are typically included in this information in eCommerce. In this paper , we have studied How to choose a database management system. There are several database management systems available. Each of them has benefits and downsides in its own particular ways. We tried to compare the databases that are frequently used for both small web applications and massive data warehousing systems, even though we haven't even touched on a third of all databases. So, how do for your own software program? Did you choose the best choice? Databases like MySQL might be a logical starting point for local eCommerce businesses that are just getting off the ground and are compatible with OLTP and web-based BI TOOLS. If you want to create a massive eCommerce company that offers a full customer journey, Cassandra is a good option.. You may also attach the Elasticsearch database solution to it to give it a strong search engine as an addition. In relation to Cassandra, it's also a respectable option for data centres and real-time analytics with massive amounts of data. It may be fair to choose NoSQL databases like MongoDB when discussing analytical tools without numerous data layers. It works great for product catalogs as well. MSSQL is also important to note in the context of data warehousing applications, especially for businesses that have several different Microsoft subscriptions. Oracle is a strong option as well for developing OLTP solutions and data warehousing applications. Our list of the finest use cases for Redis will be summarized by IoT applications and microservice architecture that prefer to scale its data hosting. Yes, there are more database systems to take into account. Your business concept and needs will determine everything. Currently, e-commerce websites not only supply massive amounts of data to e-commerce businesses, but also provide insights data using so many analytics techniques [5].
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Doering, Lynn V., Anthony W. McGuire, and Darlene Rourke. "Recovering From Cardiac Surgery: What Patients Want You To Know." American Journal of Critical Care 11, no. 4 (July 1, 2002): 333–43. http://dx.doi.org/10.4037/ajcc2002.11.4.333.

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• Background Care of cardiac surgery patients has changed substantially in the past decade, with an emphasis on streamlined procedures and shortened hospital stays. The few qualitative reports of patients’ perspectives of this experience focus primarily on physical complications and discomforts during the immediate postoperative period. • Objective To examine patients’ perceptions of the quality of the nursing and medical care they received during their hospital stay after cardiac surgery. • Methods Data were collected from a consecutive sample of 89 cardiac surgical patients who consented to participate in 2 telephone interviews at 1 week and 6 weeks after hospitalization. Patients responded to a single open-ended question: “What do you want your nurses and doctors to know to help them do a better job?” Thematic extraction analysis of patients’ responses was conducted by using commercially available statistical software. Extracted themes were applied to the structure-process-outcome framework of quality of care. • Results Four major themes (and 12 subthemes) were identified: (1) being satisfied (having a positive experience, getting information), (2) not being cared for (feeling depersonalized, having expectations that did not match recovery experiences, not being listened to, experiencing unprofessional behavior by care providers, experiencing continued care needs after going home), (3) physical needs unmet (sleep, pain, complications, physical environment), and (4) informational needs unmet (needing more or different information). • Conclusions Patients want nurses and doctors to provide a smooth transition to home, recognize the patients as individuals, prepare them honestly for their experiences with specific information, and manage pain and sleep.
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Bartlett, Robin L. "Discovering Diversity in Introductory Economics." Journal of Economic Perspectives 10, no. 2 (May 1, 1996): 141–53. http://dx.doi.org/10.1257/jep.10.2.141.

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Instructors can begin the process of integrating race and gender issues into introductory economics by reexamining their courses with a new lens of diversity. The content of introductory economics can be expanded by ‘adding and stirring’ race and gender data from standard statistical sources or from the students themselves. This paper offers some ‘add-and-stir’ macro- and microeconomic examples. To discover the appropriate mix of these examples and how to present them, this paper also offers ways of getting to know who your students are and how better to teach them with their diverse interests and learning styles.
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Dunn, Maura, Pavan Bhargava, and Rosalind Kalb. "Your Patients with Multiple Sclerosis have Set Wellness as a High Priority—And the National Multiple Sclerosis Society is Responding." US Neurology 11, no. 02 (2015): 80. http://dx.doi.org/10.17925/usn.2015.11.02.80.

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Over the past few years, the National Multiple Sclerosis Society (Society) has been analyzing topics of importance to the MS community across a variety of communication channels. The data show a trend toward decreased trust in pharmacologic approaches and increased interest in more holistic approaches to MS treatment. People living with MS want to know what they can do today—particularly related to diet, exercise, and emotional wellness—to feel and function at their best. In addition, they want the support of knowledgeable healthcare professionals who are armed with accurate information about wellness interventions. This article reports the findings and conclusions from a recent meeting convened by the Society, during which clinicians, researchers, people with MS, and Society staff reviewed what is currently known about diet, exercise, and emotional issues in MS; identified key questions to be answered in each of these domains, along with the research gaps and challenges to be addressed to arrive at the answers; made specific programmatic recommendations to ensure that people living with MS are getting the personalized support and information they need to achieve wellness; and determined next steps to move this important priority forward, some of which are already underway.
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Shah, Aarya, and Rutvik Patel. "Heart Disease Prediction Based on Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (August 31, 2022): 1027–36. http://dx.doi.org/10.22214/ijraset.2022.46341.

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Abstract: Now-a-days, if you know how to analyze the data and derive conclusions from it, then data becomes extremely valuable. And the main reason for that is the growing importance of using previous data to predict possible future scenarios with higher accuracy. We have used a dataset of around 70000 patients having symptoms related to heart diseases along with their daily activities and medical measurements like heart rate, cholesterol level, blood pressure and used 5 different binary prediction machine learning models for predicting the chances of a person getting heart related diseases in future based on the values entered by any person into our program. If you are a beginner in machine learning and you do not know where to begin or how to use machine learning then this paper will be extremely helpful for you to learn how machine learning works.
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Dissertations / Theses on the topic "Getting to Know Your Data"

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Frid, Matilda, and Emelie Utterström. "Lean into your processes : The importance of getting to know your processes and the people involved." Thesis, KTH, Industriell produktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146859.

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According to the lean philosophy there is always room for improvement in all processes, a process can always become better. Lean is about looking at a process from a holistic point of view, identifying areas where there is waste and find small improvements every day.This master thesis aims to answer the question how lean can contribute to process knowledge and sustainable improvement work. In order to receive a deeper understanding of how lean can be applied in real life the authors chose to do a case study at a production site. AGA Knivsta is a newly rebuilt maintenance site for gas cylinders, which has great room for improvement concerning productivity as well as employee satisfaction.According to the large amount of literature studied, lean can be divided into two parts, a strategic and operative. The literature study of this master thesis begins to describe the softer part of lean concerning lean mentality, leadership and continuous improvements. It is essential to begin to work with the softer aspects of lean and then continue and follow up with the hard part, which are the lean tools, as a support and not as the core of lean. It is important to let the people who work closest to the processes improve the processes themselves, in order for the improvements to sustain.The processes of maintaining gas cylinders are mapped, resulting in a Value Stream Map. Contributing to the understanding of all the processes and the work environment at the site, a series of interviews and observations are carried out. A questionnaire, aiming to understand the perception of the work situation is also completed.As many companies fail with their lean journey because they neglect the softer parts, an Action Plan for AGA Knivsta is developed to include all aspects relevant for the site to start its unique journey. A few first steps are taken to acquire a sustainable lean journey by the authors together with the people working at the site. First, a Lean Awareness Session is held to briefly introduce relevant aspects of lean at the site and create a discussion of the need for improvement. Secondly, a three day Process Management Workshop is held to give the leaders at the site and the operators of three selected processes the possibility to learn more about lean, work with improvements and develop tools to use for a sustainable lean journey.Lean involves both the aspect of the mentality and the tools that can help carry out improvement work every day. The understanding of the process increases substantially when committing to a lean journey. If AGA Knivsta commits to take the lean journey and performs it well, the authors believe that the small every day improvements will result in better performance in the long run.
Enligt de många olika filosofier som existerar inom lean finns det alltid utrymme för förbättring i alla typer av processer. Lean handlar om att se till processers helhet och genom att identifiera olika former av slöseri ständigt förbättra den genom att dagligen göra många små förbättringar.Syftet med det här examensarbetet är att utreda hur lean kan bidra till en ökad förståelse för processer och ett hållbart förbättringsarbete. För att få en djupare förståelse för hur lean kan appliceras i verkligheten valde författarna att göra en fallstudie på en produktionsanläggning. AGA Knivsta är en nyligen återuppbyggd underhållsanläggning för gascylindrar som har stora möjligheter till förbättringar inom både produktivitet och trivsel bland de anställda.Enligt den stora mängd litteratur som studerats kan lean delas in i två områden, ett mjukt och ett hårt. Examensarbetets litteraturstudie börjar med att beskriva de mjukare delarna som berör lean mentalitet, ledarskap och ständiga förbättringar. Det är grundläggande att börja ett lean-arbete med att arbeta med de mjukare delarna av lean och använda de hårdare delarna, lean-verktygen, som ett stöd och komplement i arbetet och inte som kärnan. Det är även viktigt att de som arbetar närmast processen ska genomföra förändringar för att de ska bli hållbara.Processen för underhåll av gascylindrar kartläggs och resulterar i en värdeflödesanalys. För att öka förståelsen för processerna och arbetsmiljön på anläggningen görs observationer och intervjuer, samt en enkät.Många företag misslyckas med en lean-satsning på grund av att de negligerar de mjukare delarna av lean. För att undvika detta misstag på AGA Knivsta görs en handlingsplan som inkluderar alla relevanta aspekter som behövs för att anläggningen ska kunna påbörja en hållbar lean-resa. De första stegen tar medarbetarna tillsammans med författarna för att ytterligare säkerställa ett hållbart arbete på anläggningen. Först hålls en inspirationsföreläsning om lean för att introducera relevanta lean-områden för de anställda och för att skapa en diskussion om vilka förbättringsmöjligheter som finns. Efter inspirationsföreläsningen hålls en tredagars workshop där ledarna på anläggningen och några av operatörerna från tre utvalda processer får möjlighet att lära sig mer om lean och arbeta praktiskt med förbättringar och lean-verktyg.Lean tar de två delarna av mentalitet och verktyg i beaktning som hjälper anläggningen att arbeta med förbättringsarbete varje dag. Att börja en lean resa bidrar dessutom till förståelsen av processens helhet. Författarna tror att om AGA Knivsta åtar sig till en lean-resa med fullt engagemang kommer de många små förbättringarna att leda till en effektivare och mer välfungerande anläggning i framtiden.
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Books on the topic "Getting to Know Your Data"

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Ransford, Sandy. Getting to know your pony. [Danbury, CT]: Pony, 2008.

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Press, Microsoft, ed. Getting to know your computer. Redmond, Wash: Microsoft Press, 1988.

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Saucedo, Leslie. Getting to Know Your Cells. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30146-9.

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Seabrook, Dot. Getting to know your silky terrier. Loveland, CO: Alpine Publications, 1990.

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United States Postal Service. Customer Services Dept., ed. Getting to know your mail man: Coloring book. [Lafayette, IN: U.S.P.S., Customer Services], 1986.

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Jean, Mills, and Mills Richard W. 1938-, eds. Primary school people: Getting to know your colleagues. London: Routledge, 1995.

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United States Postal Service. Customer Services Dept., ed. Getting to know your mail man: Coloring book. [Lafayette, IN: U.S.P.S., Customer Services], 1986.

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Inc, Primavera Systems, ed. Getting to know P3: An introduction to Primavera Project planner. Bala Cynwyd, PA (Two Bala Plaza, Bala Cynwyd 19004): Primavera Systems, 1989.

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D, Jaffe Brian, ed. It manager's handbook: Getting your new job done. 3rd ed. Waltham, MA: Morgan Kaufmann, 2012.

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Spencer, King Janet, ed. Getting your child into college: What parents must know. New York: St. Martin's Griffin, 1996.

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Book chapters on the topic "Getting to Know Your Data"

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Wooditch, Alese, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, and Samuel Langton. "Getting to Know Your Data." In A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R, 21–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50625-4_2.

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Sarantakos, Sotirios. "Getting to know your SPSS." In A Toolkit for Quantitative Data Analysis, 6–11. London: Macmillan Education UK, 2007. http://dx.doi.org/10.1007/978-1-137-03825-8_2.

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Samaddar, Subhashish, and Satish Nargundkar. "Know Your Audience." In Data Analytics, 1–6. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019. |: Auerbach Publications, 2019. http://dx.doi.org/10.1201/9781315267555-1.

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Kilgarriff, Adam. "Getting to Know Your Corpus." In Text, Speech and Dialogue, 3–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32790-2_1.

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Sachs, Sybille, Edwin Rühli, and Isabelle Kern. "Getting to know your customers." In Sustainable Success with Stakeholders, 65–78. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230271746_5.

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Breyter, Mariya. "Getting to Know Your Customer." In Agile Product and Project Management, 43–68. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8200-7_3.

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Strickland-Davis, Shantell, and Jairo McMican. "Getting to Know Your Students." In Creating Culturally Affirming and Meaningful Assignments, 54–70. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003443797-5.

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Watson, Paula, Rebecca Levett, and Chris Marshall. "Getting to know your client." In The Applied Sport and Exercise Practitioner, 78–95. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003290049-9.

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Cowley, Emma, Jennifer James, and Jonty Norris. "Getting to know your team." In The Applied Sport and Exercise Practitioner, 64–77. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003290049-8.

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Jones, Michael. "Know Your Limits." In More Judgment Than Data, 17–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99472-3_2.

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Conference papers on the topic "Getting to Know Your Data"

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Marhan, Ana maria, and Camelia Popa. "GETTING TO KNOW YOUR STUDENTS WITH FACEBOOK." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-034.

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Thousands of preadolescents and adolescents are using social networking sites, and especially Facebook, on a daily basis. Given the public nature of most user profiles, as well as of the many social connections established online by young students and adolescents, it becomes obvious that integrating the richness of information provided by these websites into the pedagogical and counseling practice is currently a must. This paper intend to look at how the public "walls" of Facebook allow parents, teachers or counselors to develop further awareness on the evolution of a particular students or a group of students. Facebook's rich information allows a better understanding of students thinking and behaviors, since specific attitudes are openly expressed in their own words, or rather with "likes", or "dislikes" kind of labeling, while their interests and concerns became apparent by by analyzing the content they disseminate. Facebook virtual "walls" also provide further information on student skills (technical, artistic), or personality characteristics (sociability, narcissism, extraversion, openness to experience, lack of taboos, agreability), or creativity (as demonstrated by the original web contend they generate). Their involvement in volunteering activities (social activism), or their skills in developing relationships with peers (that one can appreciate by the size of their personal social networks) and their strategies in exchanging information (i.e., sharing photos with friends) provides also important data that may support the educational work. Representations of youth identity, in the post-modern sense of identity construction, can be assessed based on the self-presentations available on Facebook, by observing the types of photographs made public, or the frequency of profile information updates. Nevertheless, protecting the integrity of students' personal and social spaces, disregarding they are real or virtual, denouncing any "invasion" of unwanted or dangerous friends, establishing rules of ethics in teacher-student communication, and detection of particular problems in youth life (depression, anxiety, irritability or other kind of adolescentin “emergencies”) are important lines of action for the education counselor. Moreover, the concept of "pedagogical web" shows that the special relationship that teens and adolescents have with new media can be further capitalize on in the educational and/or counseling process in order to support a harmonious development of students personality.
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Wood, Chris, Fernando Merotto, Brian Kerrigan, Ramon Loback, and Pedro Gea. "Getting to Know Your Bends to Support SCC Management." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9578.

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Abstract Nova Transportadora do Sudeste (NTS) own and operate a gas transmission system in Brazil constructed in 1996. One of the confirmed primary integrity threats to this system is axial stress corrosion cracking. The pipelines vary in diameter, weld type, manufacturer and age. One of the pipelines failed in 2015 due to an axial stress corrosion crack. Since the failure, NTS have executed an intense inspection campaign to detect and size axial cracking within their network. The 2015 failure occurred on a field bend. The inspection campaign and following dig campaign has confirmed that cracking (both axial and circumferential) within field bends is the primary integrity threat. Brazil has a challenging terrain and approximately 40% of joints within the network were subject to cold field bending. The influences of the pipeline geometry within these areas have resulted in localised elevated stresses where the axial stress corrosion cracking colonies are initiating and growing. To date, no cracking (axial or circumferential) has been verified within their straight pipe joints. NTS initially took a conservative baseline assessment approach using API 579 Part 9, due to the limited information regarding the pipe material and complex stress state. In addition to the hoop stress from internal pressure, the baseline assessment also considered weld residual stress and bending stress due to ovalization to determine immediate and future integrity. An intensive dig campaign is underway following a crack detection in-line inspection campaign using electromagnetic acoustic transducer technology. A large number of deep cracks were reported by the in-line inspection system, these were verified to be deep and repaired with a type B sleeve. However, at one site an entire joint was removed for further analysis, to investigate the crack morphology, confirm material properties and refine the predictive failure pressure modelling. This paper outlines how NTS have combined a burst test, mechanical testing, FEA modelling, fractography and metallographic examination to further understand the feature morphology and stresses within these areas and how they have been able to reduce conservatism from their baseline assessment with confidence and adopt a plastic collapse approach to accurately predict failure.
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Gkaniatsou, Andriana, Fiona McNeill, Alan Bundy, Graham Steel, Riccardo Focardi, and Claudio Bozzato. "Getting to know your Card." In the 31st Annual Computer Security Applications Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2818000.2818020.

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Gregor, Michal, Katarina Zabovska, and Vladimir Smatanik. "The zebra puzzle and getting to know your tools." In 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES). IEEE, 2015. http://dx.doi.org/10.1109/ines.2015.7329698.

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Kelly, D., and B. Tangney. "'First Aid for You': getting to know your learning style using machine learning." In Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05). IEEE, 2005. http://dx.doi.org/10.1109/icalt.2005.1.

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Misztal-Radecka, Joanna, and Bipin Indurkhya. "Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations." In UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3386392.3397599.

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Du, Manxing, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, and Radu State. "Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation." In 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00141.

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Pedersen, Lars Petter, and Tram T. N. Tran. "Getting More Value of Your Production Data by Using Datamart." In SPE Intelligent Energy Conference & Exhibition. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/167887-ms.

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Bratt, Sarah, and Alexander O. Smith. "Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020929.

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Gschwandtner, Theresia, and Oliver Erhart. "Know Your Enemy: Identifying Quality Problems of Time Series Data." In 2018 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2018. http://dx.doi.org/10.1109/pacificvis.2018.00034.

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Reports on the topic "Getting to Know Your Data"

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Marchese, Malvina. Advanced Non-Linear Regression Modelling. Instats Inc., 2023. http://dx.doi.org/10.61700/mrtlpflhp64q7469.

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This two-day seminar offers an in-depth introduction to non-linear regression models for cross sectional data, covering binary, multinomial, ordinal, censored, count, and the very popular quantile regression models. You will learn everything you need to know in order to understand and apply these methods in your own research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point
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Marchese, Malvina. Advanced Non-Linear Regression Modelling. Instats Inc., 2023. http://dx.doi.org/10.61700/ovehw89kw8hwq469.

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This two-day seminar offers an in-depth introduction to non-linear regression models for cross sectional data, covering binary, multinomial, ordinal, censored, count, and the very popular quantile regression models. You will learn everything you need to know in order to understand and apply these methods in your own research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point
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Ross, Andrew, David Johnson, Hai Le, Danny Griffin, Carl Mudd, and David Dawson. USACE Advanced Modeling Object Standard : Release 1.0. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42152.

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The U.S. Army Corps of Engineers (USACE) Advanced Modeling Object Standard (AMOS) has been developed by the CAD/BIM Technology Center for Facilities, Infrastructure, and Environment to establish standards for support of the Advanced Modeling process within the Department of Defense (DoD) and the Federal Government. The critical component of Advanced Modeling is the objects themselves- and either make the modeling process more difficult or more successful. This manual is part of an initiative to develop a nonproprietary Advanced Modeling standard that incorporates both vertical construction and horizontal construction objects that will address the entire life cycle of facilities within the DoD. The material addressed in this USACE Advanced Modeling Object Standard includes a classification organization that is needed to identify models for specific use cases. Compliance with this standard will allow users to know whether the object model they are getting is graphically well developed but data poor or if it does have the data needed for creating contract documents. This capability will greatly reduce the designers’ efforts to either build an object or search/find/edit an object necessary for the development of their project. Considering that an advanced model may contain hundreds of objects this would represent a huge time savings and improve the modeling process.
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Koduru, Smitha. PR-244-173856-WEB ILI Crack Tool Reliability and Performance Evaluation. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2019. http://dx.doi.org/10.55274/r0011617.

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Wednesday, October 2, 2019 11:00 a.m. ET PRESENTER: Smitha Koduru, PhD, C-FER Technologies HOST: Steven Bott, Enbridge MODERATOR: John Lynk, PRCI CLICK THE DOWNLOAD/BUY BUTTON TO ACCESS TO THE WEBINAR REGISTRATION LINK Join the PRCI Integrity and Inspection Technical Committee as they present an expansion of previous PRCI research related to ILI performance data. The new research has been expanded to include experience with UT and EMAT in-line inspection data aligned with in-the-ditch NDE results. Also included are improved statistical characterization of crack inline inspection performance; increasing the reliable application of crack ILI to manage cracking and SCC recommendations for in-the-ditch NDE; and information collected to maximize the ability of operators to measure crack ILI performance. Learning outcomes/benefits of attending this webinar: - Learn about the data sets featured in the industry-wide database for crack features identified with in-line inspection tools (ILI) and/or field non-destructive examination (NDE). - Know the influence of pipe attributes, such as seam weld type, and NDE performance on the crack detection and sizing performance assessment of ILI tools - Understand the methods required to use data from multiple ILI runs and field measurements for increased confidence in crack detection and sizing - Recognize the value of collecting full crack profile data for integrity management Who should attend? - Integrity personnel, analyst, engineers and management - Inline inspection vendor personnel Recommended pre-reading: PR-244-173856-R01 In-line Inspection Crack Tool Reliability and Performance Evaluation Not able to attend? Register anyway to automatically receive a link to the webinar recording to view on-demand at your convenience. Attendance is limited to the first 500 registrants to join the webinar. All remaining registrants will receive a link to view the webinar recording. After registering, you will receive a confirmation email containing information about joining the webinar. Please click here to view more webinars that may be of interest to you!
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