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Relevant bibliographies by topics / Performance web

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Journal articles
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Academic literature on the topic 'Performance web'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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Journal articles on the topic "Performance web"

1

Latif, Hanif Abdul, Dwiwiyati Astogini, and Sumarsono Sumarsono. "VARIABEL ANTESEDEN KEPUASAN DAN PENGARUHNYA TERHADAP LOYALITAS KONSUMEN." Performance 23, no. 2 (2017): 28. http://dx.doi.org/10.20884/1.performance.2016.23.2.276.

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The purpose this study to identify and analyze the effect antecedent variable of satisfaction that is web design, web navigation, costumized preview, website quality, service quality, and perceived value to consumer loyalty of Lazada.co.id. The sample in this study there were 155 respondents who are consumers of Lazada.co.id in Jakarta region. Convenience sampling method used in the determination of the sample. Data was analyzed using Equational Structural Modeling (SEM). These results indicate web design has no effect on web quality, web navigation has positive effect on web quality, customized preview has no effect on web quality, web quality has no effect on perceived value, service quality has positive effect on perceived value, perceived value has positive effect on satisfaction,satisfaction has positive effect on consumer loyalty.

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Huang, Ming-Hui. "Web performance scale." Information & Management 42, no. 6 (2005): 841–52. http://dx.doi.org/10.1016/j.im.2004.06.003.

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Souders, Steve. "High-performance web sites." Communications of the ACM 51, no. 12 (2008): 36–41. http://dx.doi.org/10.1145/1409360.1409374.

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Menascé, Daniel A. "Web Performance Modeling Issues." International Journal of High Performance Computing Applications 14, no. 4 (2000): 292–303. http://dx.doi.org/10.1177/109434200001400402.

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Souders, Steve. "High Performance Web Sites." Queue 6, no. 6 (2008): 30–37. http://dx.doi.org/10.1145/1466443.1466450.

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Squillante, Mark S., David D. Yao, and Li Zhang. "Web traffic modeling and Web server performance analysis." ACM SIGMETRICS Performance Evaluation Review 27, no. 3 (1999): 24–27. http://dx.doi.org/10.1145/340242.340323.

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Kothari, Bhupesh, and Mark Claypool. "Dynamic Web pages: performance impact on Web servers." Internet Research 11, no. 1 (2001): 18–25. http://dx.doi.org/10.1108/10662240110365670.

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Saeed, Mozamel M. "The Impact of WAF on Web Application Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (2020): 620–24. http://dx.doi.org/10.5373/jardcs/v12sp8/20202563.

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Saraswati, I., S. Praptodiyono, A. S. Pramudyo, and Kurniawan. "Increasing web server performance using the web balancing method." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012065. http://dx.doi.org/10.1088/1757-899x/673/1/012065.

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Eyzenakh, Denis, Anton Rameykov, and Igor Nikiforov. "High Performance Distributed Web-Scraper." Proceedings of the Institute for System Programming of the RAS 33, no. 3 (2021): 87–100. http://dx.doi.org/10.15514/ispras-2021-33(3)-7.

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Over the past decade, the Internet has become the gigantic and richest source of data. The data is used for the extraction of knowledge by performing machine leaning analysis. In order to perform data mining of the web-information, the data should be extracted from the source and placed on analytical storage. This is the ETL-process. Different web-sources have different ways to access their data: either API over HTTP protocol or HTML source code parsing. The article is devoted to the approach of high-performance data extraction from sources that do not provide an API to access the data. Distinctive features of the proposed approach are: load balancing, two levels of data storage, and separating the process of downloading files from the process of scraping. The approach is implemented in the solution with the following technologies: Docker, Kubernetes, Scrapy, Python, MongoDB, Redis Cluster, and СephFS. The results of solution testing are described in this article as well.

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Dissertations / Theses on the topic "Performance web"

1

Nadimpalli, Sucheta. "High performance Web servers." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0015/MQ57734.pdf.

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Chiew, Thiam Kian. "Web page performance analysis." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/658/.

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Computer systems play an increasingly crucial and ubiquitous role in human endeavour by carrying out or facilitating tasks and providing information and services. How much work these systems can accomplish, within a certain amount of time, using a certain amount of resources, characterises the systems’ performance, which is a major concern when the systems are planned, designed, implemented, deployed, and evolve. As one of the most popular computer systems, the Web is inevitably scrutinised in terms of performance analysis that deals with its speed, capacity, resource utilisation, and availability. Performance analyses for the Web are normally done from the perspective of the Web servers and the underlying network (the Internet). This research, on the other hand, approaches Web performance analysis from the perspective of Web pages. The performance metric of interest here is response time. Response time is studied as an attribute of Web pages, instead of being considered purely a result of network and server conditions. A framework that consists of measurement, modelling, and monitoring (3Ms) of Web pages that revolves around response time is adopted to support the performance analysis activity. The measurement module enables Web page response time to be measured and is used to support the modelling module, which in turn provides references for the monitoring module. The monitoring module estimates response time. The three modules are used in the software development lifecycle to ensure that developed Web pages deliver at worst satisfactory response time (within a maximum acceptable time), or preferably much better response time, thereby maximising the efficiency of the pages. The framework proposes a systematic way to understand response time as it is related to specific characteristics of Web pages and explains how individual Web page response time can be examined and improved.

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Nadimpalli, Sucheta Carleton University Dissertation Engineering Systems and Computer. "High performance web servers." Ottawa, 2000.

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Damaraju, Sarita. "Performance measurements of Web services." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4581.

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Thesis (M.S.)--West Virginia University, 2006.<br>Title from document title page. Document formatted into pages; contains v, 42 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 32-34).

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Cui, Heng. "Analyse et diagnostic des performances du web du point de vue de l'utilisateur." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0017/document.

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Au cours des dernières années, l'intérêt porté aux performances de la navigation internet n'a cessé de croître au sein de la communauté scientifique. Afin de comprendre la perception qu'a l'utilisateur des performances de la navigation Web, au cours de cette thèse nous abordons différents problèmes liés aux performances de la navigation Internet telle qu'elle est perçue par l'utilisateur final. Cette thèse se compose de trois parties: la première partie présente notre nouvelle plateforme basée sur des mesures faites au niveau du navigateur. Nous présentons les différents paramètres que nous obtenons facilement à partir du navigateur, ainsi que des indicateurs du ressenti de l'utilisateur final. Ensuite nous utilisons des techniques de partitionnement de données afin de trouver les corrélations existantes entre performances de haut niveau et de bas niveau. Dans une seconde partie, nous présentons notre outil de diagnostic appelé “Firelog”. Nous étudions tout d'abord les différentes causes qui peuvent affecter le rendu d'une page Web. Ensuite nous décrivons en détails les différents composant de notre outil et les mesures qu'il effectue. Sur la base des paramètres mesurés, nous illustrons notre modèle pour le diagnostic des performances d'une manière automatique. Dans la dernière partie, nous proposons une nouvelle méthodologie, “Critical Path Method” (ou Méthode du Chemin Critique) pour l'analyse des performances de la navigation Web. Nous expliquons d'abord en détails les caractéristiques intrinsèques du Navigateur lors du rendu d'une page Web, puis nous présentons formellement notre méthodologie<br>In recent years, the interest of the research community in the performance of Web browsing has grown steadily. In order to reveal end-user perceived performance of Web browsing, in this thesis work, we address multiple issues of Web browsing performance from the perspective of the end-user. The thesis is composed by three parts: the first part introduces our initial platform which is based on browser-level measurements. We explain measurement metrics that can be easily acquired from the browser and indicators for end-user experience. Then, we use clustering techniques to correlate higher-level performance metrics with lower level metrics. In the second part, we present our diagnosis tool called FireLog. We first discuss different possible causes that can prevent a Web page to achieve fast rendering; then, we describe details of the tool's components and its measurements. Based on the measured metrics, we illustrate our model for the performance diagnosis in an automatic fashion. In the last part, we propose a new methodology named Critical Path Method for the Web performance analysis. We first explain details about Web browser's intrinsic features during page rendering and then we formalize our the methodology

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Zhang, Shuai. "Benchmarking Performance of Web Service Operations." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156425.

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Web services are often used for retrieving data from servers providing information of different kinds. A data providing web service operation returns collections of objects for a given set of arguments without any side effects. In this project a web service benchmark (WSBENCH) is developed to simulate the performance of web service calls. Web service operations are specified as SQL statements. The function generator of WSBENCH converts user specified SQL queries into functions and automatically generates a web service. WSBENCH can automatically both generate and deploy web the service operations for exported functions. Furthermore WSBENCH supports controlled experiments, since users can control the characteristics of web service operations such as scalability of data and delay time. The database used in this project is generated by the Berlin Benchmark database generator. A WSBENCH demo is built to demonstrate the functionality. The demo is implemented as a JavaScript program acting as a SOAP client, directly calls WSBENCH services from a web browser. Users can make a web service request by simply providing the web service operation’s name and parameter values list as the input. It makes the WSBENCH very simple to the use.

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Nylén, Håkan. "PHP Framework Performance for Web Development." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3874.

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[Context] PHP Frameworks, such as CakePHP and Codei- gniter, have become popular among developers, since they offer ease of development save time and provide already made libraries to use. Considering that more and more websites are built using these frameworks it is important to know how they impact the performance of the website. Comparing the two top frameworks with each other can shed some light on what the performance looks like today on the web with PHP as its base. [Problem] Visitors nowadays have less patience to wait for a website to load. Meanwhile, PHP Framework has become known among developers, but the part of the performance that reduces the load time even more so visitors can surf without any problems, is missing. Therefore, it is a good idea to try to discover how the performance of the PHP Framework can change and improve the visitor experience. [Con- tribution] In this paper is a description of one of the first performance experiments on PHP Frameworks. It can help people make the right de- cision regarding PHP Framework in the future. The lack of data in this area is also one of the decisions to make this paper as well.

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Arshinov, Alex. "Building high-performance web-caching servers." Thesis, De Montfort University, 2004. http://hdl.handle.net/2086/13257.

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Said, Tahirshah Farid. "Comparison between Progressive Web App and Regular Web App." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18384.

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In 2015 the term Progressive Web Application was coined to describe applications that are getting the advantage of all Progressive App features. Some of the essential features are offline support, app-like interface, secure connection, etc. Since then, case studies from PWA’s implementation showed optimistic promises for improving web page performance, time spent on site, user engagement, etc. The goal of this report is to analyze some of the effects of PWA. This work will investigate the browser compatibility of PWA’s features, compare and analyze performance and memory consumption effect of PWA’s features compared to Regular WebApp. Results showed a lot of the features of PWA are still not sup-ported by some major browsers. Performance benchmark showed that required https connection for PWA is slowing down all of the PWA’s performance metrics on the first visit. On a repeat visit, some of the PWA features like speed index is outperforming the Regular Web App. Memory consumption on PWA increased more than 2 times the size of RWA. The conclusion is that even if some features are not directly supported by browsers, they still might have workaround solutions. PWA is slower than regular web app if https on your web server is not optimized. Different browsers have different memory limitations for PWA caches. You should implement https and PWA features only if you have HTTP/2 support on your web server, otherwise, performance can decrease.

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Cui, Heng. "Analyse et diagnostic des performances du web du point de vue de l'utilisateur." Electronic Thesis or Diss., Paris, ENST, 2013. http://www.theses.fr/2013ENST0017.

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Au cours des dernières années, l'intérêt porté aux performances de la navigation internet n'a cessé de croître au sein de la communauté scientifique. Afin de comprendre la perception qu'a l'utilisateur des performances de la navigation Web, au cours de cette thèse nous abordons différents problèmes liés aux performances de la navigation Internet telle qu'elle est perçue par l'utilisateur final. Cette thèse se compose de trois parties: la première partie présente notre nouvelle plateforme basée sur des mesures faites au niveau du navigateur. Nous présentons les différents paramètres que nous obtenons facilement à partir du navigateur, ainsi que des indicateurs du ressenti de l'utilisateur final. Ensuite nous utilisons des techniques de partitionnement de données afin de trouver les corrélations existantes entre performances de haut niveau et de bas niveau. Dans une seconde partie, nous présentons notre outil de diagnostic appelé “Firelog”. Nous étudions tout d'abord les différentes causes qui peuvent affecter le rendu d'une page Web. Ensuite nous décrivons en détails les différents composant de notre outil et les mesures qu'il effectue. Sur la base des paramètres mesurés, nous illustrons notre modèle pour le diagnostic des performances d'une manière automatique. Dans la dernière partie, nous proposons une nouvelle méthodologie, “Critical Path Method” (ou Méthode du Chemin Critique) pour l'analyse des performances de la navigation Web. Nous expliquons d'abord en détails les caractéristiques intrinsèques du Navigateur lors du rendu d'une page Web, puis nous présentons formellement notre méthodologie<br>In recent years, the interest of the research community in the performance of Web browsing has grown steadily. In order to reveal end-user perceived performance of Web browsing, in this thesis work, we address multiple issues of Web browsing performance from the perspective of the end-user. The thesis is composed by three parts: the first part introduces our initial platform which is based on browser-level measurements. We explain measurement metrics that can be easily acquired from the browser and indicators for end-user experience. Then, we use clustering techniques to correlate higher-level performance metrics with lower level metrics. In the second part, we present our diagnosis tool called FireLog. We first discuss different possible causes that can prevent a Web page to achieve fast rendering; then, we describe details of the tool's components and its measurements. Based on the measured metrics, we illustrate our model for the performance diagnosis in an automatic fashion. In the last part, we propose a new methodology named Critical Path Method for the Web performance analysis. We first explain details about Web browser's intrinsic features during page rendering and then we formalize our the methodology

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Books on the topic "Performance web"

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Web performance tuning. O'Reilly, 1998.

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Web performance tuning. 2nd ed. O'Reilly, 2002.

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Shivakumar, Shailesh Kumar. Modern Web Performance Optimization. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6528-4.

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Jeff, Rashka, and McDiarmid Douglas, eds. Quality Web systems: Performance, security, and usability. Addison-Wesley, 2002.

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Tari, Zahir, Ann Khoi Anh Phan, Malith Jayasinghe, and Vidura Gamini Abhaya. On the Performance of Web Services. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1930-3.

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Egger, Hannes, and Antonella Tricoli. Web performance today: Rapresentation, reproduction, repetition. Silvana, 2014.

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Paul, McGlashan, ed. High performance ISAPI/NASPI Web Programming. Coriolis Group, 1997.

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International Business Machines Corporation. International Technical Support Organization, ed. Considerations for CICS web services performance. IBM, International Technical Support Organization, 2009.

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Anh, Phan Ann Khoi, Jayasinghe Malith, Abhaya Vidura Gamini, and SpringerLink (Online service), eds. On the Performance of Web Services. Springer Science+Business Media, LLC, 2011.

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Lathkar, Malhar. High-Performance Web Apps with FastAPI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9178-8.

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Book chapters on the topic "Performance web"

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Kamps, Ingo, and Daniel Schetter. "Web-Analyse (Web-Analytics) – messen, analysieren und entscheiden." In Performance Marketing. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18453-7_10.

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Kamps, Ingo, and Daniel Schetter. "Web-Analyse (Web-Analytics) – messen, analysieren und entscheiden." In Performance Marketing. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30912-1_10.

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Goldshtein, Sasha, Dima Zurbalev, and Ido Flatow. "Web Application Performance." In Pro .NET Performance. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4459-2_11.

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Barker, Tom. "Web Performance Optimizations." In Pro JavaScript Performance. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4750-0_6.

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Iyengar, Arun, Erich Nahum, Anees Shaikh, and Renu Tewari. "Enhancing Web Performance." In Communication Systems. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35600-6_4.

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Shivakumar, Shailesh Kumar. "Web Performance Validation." In Modern Web Performance Optimization. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6528-4_6.

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Enghardt, Theresa, Thomas Zinner, and Anja Feldmann. "Web Performance Pitfalls." In Passive and Active Measurement. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15986-3_19.

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Bryant, Jay, and Mike Jones. "Responsive Web Design." In Pro HTML5 Performance. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4525-4_4.

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Uzayr, Sufyan bin. "What Web Performance Is and Why It Matters." In Web Performance Optimization. CRC Press, 2022. http://dx.doi.org/10.1201/9781003203735-1.

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Uzayr, Sufyan bin. "Server-Side Optimization." In Web Performance Optimization. CRC Press, 2022. http://dx.doi.org/10.1201/9781003203735-7.

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Conference papers on the topic "Performance web"

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Pinzger, Martin. "Automated Web Performance Analysis." In 2008 23rd IEEE/ACM International Conference on Automated Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/ase.2008.95.

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Lu, Jijun, and Swapna S. Gokhale. "Web server performance analysis." In the 6th international conference. ACM Press, 2006. http://dx.doi.org/10.1145/1145581.1145605.

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Hossain, Md Safaet. "Performance evaluation web testing for ecommerce web sites." In 2012 International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2012. http://dx.doi.org/10.1109/iciev.2012.6317531.

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"High-Strength Concrete Deep Beams With Web Openings." In SP-186: High-Performance Concrete: Performance and Quality of Concrete Structures. American Concrete Institute, 1999. http://dx.doi.org/10.14359/5580.

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Rello, Luz, and Mari-Carmen Marcos. "An Eye Tracking Study on Text Customization for User Performance and Preference." In 2012 Latin American Web Congress (LA-WEB). IEEE, 2012. http://dx.doi.org/10.1109/la-web.2012.13.

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Guerrero, Carlos, Carlos Juiz, and Ramon Puigjaner. "Web Performance and Behavior Ontology." In 2008 International Conference on Complex, Intelligent and Software Intensive Systems. IEEE, 2008. http://dx.doi.org/10.1109/cisis.2008.101.

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Sundaram, Ganesh, Martin E. Mastovich, Roye Avidor, Jason Remillard, and Robert Brandom. "Web-based metrology performance diagnostics." In Microlithography 2003, edited by Daniel J. Herr. SPIE, 2003. http://dx.doi.org/10.1117/12.487603.

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"SOME POINTS AFFECTING WEB PERFORMANCE." In 2nd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001246102420245.

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Jevremovic, Aleksandar, Ranko Popovic, Dejan Zivkovic, Mladen Veinovic, and Goran Shimic. "DMS — Improving Web performance." In 2011 19th Telecommunications Forum Telfor (TELFOR). IEEE, 2011. http://dx.doi.org/10.1109/telfor.2011.6143518.

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Flores, Marcel, Alexander Wenzel, and Aleksandar Kuzmanovic. "Oak: User-Targeted Web Performance." In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2017. http://dx.doi.org/10.1109/icdcs.2017.110.

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Reports on the topic "Performance web"

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Young, Scott W. H. Library Web Performance Data. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m23w2g.

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Jones, Robert. Content Aware Request Distribution for High Performance Web Service: A Performance Study. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2659.

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Koduru, Smitha. PR-244-173856-WEB ILI Crack Tool Reliability and Performance Evaluation. Pipeline Research Council International, Inc. (PRCI), 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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Novakouski, Maro, Soumya Simanta, Gunnar Peterson, Ed Morris, and Grace Lewis. Performance Analysis of WS-Security Mechanisms in SOAP-Based Web Services. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada536681.

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Hill, Raymond R., Narayanan Jr., Mykytka S., and Edward F. Models, Web-Based Simulations, and Integrated Analysis Techniques for Improved Logistical Performance. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada398183.

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Pascuccfi, Valerio. CyclusJS: A Distributed Web-based Fuel Cycle Visual Analytics. Research Performance Final Report/. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1881220.

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Choquette, Gary. PR-000-16209-WEB Data Management Best Practices Learned from CEPM. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011568.

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DATE: Wednesday, May 1, 2019 TIME: 2:00 - 3:30 p.m. ET PRESENTER: Gary Choquette, PRCI CLICK DOWNLOAD/BUY TO ACCESS THE REGISTRATION LINK FOR THIS WEBINAR Systems that manage large sets of data are becoming more common in the energy transportation industry. Having access to the data offers the opportunity to learn from previous experiences to help efficiently manage the future. But how does one manage to digest copious quantities of data to find nuggets within the ore? This webinar will outline some of the data management best practices learned from the research projects associated with CEPM. - Logging/capturing data tips - Techniques to identify 'bad' data - Methods of mapping equipment and associated regressions - Tips for pre-processing data for regressions - Machine learning tips - Establishing alarm limits - Identifying equipment problems - Multiple case studies Who Should Attend? - Data analysts - Equipment support specialists - Those interested in learning more about 'big data' and 'machine learning' Recommended Pre-reading: - PR-309-11202-R01 Field Demonstration Test of Advanced Engine and Compressor Diagnostics for CORE - PR-312-12210-R01 CEPM Monitoring Plan for 2SLB Reciprocating Engines* - PR-309-13208-R01 Field Demonstration of Integrated System and Expert Level Continuous Performance Monitoring for CORE* - PR-309-14209-R01 Field Demo of Integrated Expert Level Continuous Performance Monitoring - PR-309-15205-R01 Continuous Engine Performance Monitoring Technical Specification - PR-000-15208-R01 Reciprocating Engine Speed Stability as a Measure of Combustion Stability - PR-309-15209-R01 Evaluation of NSCR Specific Models for Use in CEPM - PR-000-16209-R01 Demonstration of Continuous Equipment Performance Monitoring - PR-015-17606-Z02 Elbow Meter Test Results* *Documents available to PRCI member only Attendance will be limited to the first 500 registrants to join the webinar. All remaining registrants will receive a link to view the recording after the webinar. Not able to attend? Register anyway to automatically receive a link to the recording after the webinar to view at your convenience! After registering, you will receive a confirmation email containing information about joining the webinar. Please visit our website for other webinars that may be of interest to you!

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Tyler, John. If You Build It Will They Come? Teacher Use of Student Performance Data on a Web-Based Tool. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17486.

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Xiao-Yan, SONG, ZHONG Wei-Hui, and ZHENG Yu-Hui. INVESTIGATION ON ANTI-COLLAPSE PERFORMANCE OF COMPOSITE BEAM-COLUMN SUBSTRUCTURE WITH WELDED FLANGE-BOLTED WEB CONNECTION IN MINOR-AXIS DIRECTION. The Hong Kong Institute of Steel Construction, 2018. http://dx.doi.org/10.18057/icass2018.p.029.

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Beshouri, Greg. PR-309-14212-WEB Field Demonstration of Fully Integrated NSCR System. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011623.

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Wednesday, October 9, 2019 3:30 pm. ET PRESENTER: Bob Goffin, Advanced Engine Technologies HOST: Chris Nowak, Kinder Morgan MODERATOR: Gary Choquette, PRCI CLICK THE DOWNLOAD/BUY BUTTON TO ACCESS THE WEBINAR REGISTRATION LINK While superficially a "simple and proven" technology, non-selective catalytic reduction (NSCR) control is in fact extremely complex, far more complex than the control of lean burn engines. Using a systems approach, PRCI research partners defined the most common failure modes for each of the components of the NSCR system. Both regulators and operators often make simplistic assumptions regarding the reliability and robustness of NSCR control. Real world experience has shown those assumptions to be unfounded. Legacy NSCR systems can go "out of compliance" resulting in gross emissions deviations while remaining "in control." This webinar will review the reasons for those deviations and then postulates a system design capable of remaining both "in control" and "in compliance." This system was then designed, developed, installed and tested. The results confirmed the theoretical analysis resulting in satisfactory system performance. The result offers regulators and operators guidelines on procuring and/or developing NSCR systems that will satisfy regulatory expectations. Learning outcomes/Benefits of attending include: - Explains for legacy rich burn engines can be upgraded with NSCR and advanced controls - Explores the instrumentation required - Looks at control algorithms involved Who should attend: - Pipeline operators - Reliability engineers and technicians - Emissions compliance specialists Recommended pre-reading: PR-309-14212-R01 Field Demonstration of Fully Integrated NSCR System 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.

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