Relevant bibliographies by topics / Automation of analytical transformations

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Academic literature on the topic 'Automation of analytical transformations'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Automation of analytical transformations"

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Liu, Xueyan, Hongwei Li, and Mei Zhan. "A review on the modeling and simulations of solid-state diffusional phase transformations in metals and alloys." Manufacturing Review 5 (2018): 10. http://dx.doi.org/10.1051/mfreview/2018008.

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Solid-state diffusional phase transformations are vital approaches for controlling of the material microstructure and thus tailoring the properties of metals and alloys. To exploit this mean to a full extent, much effort is paid on the reliable and efficient modeling and simulation of the phase transformations. This work gives an overview of the developments in theoretical research of solid-state diffusional phase transformations and the current status of various numerical simulation techniques such as empirical and analytical models, phase field, cellular automaton methods, Monte Carlo models and molecular dynamics methods. In terms of underlying assumptions, physical relevance, implementation and computational efficiency for the simulation of phase transformations, the advantages and disadvantages of each numerical technique are discussed. Finally, trends or future directions of the quantitative simulation of solid-state diffusional phase transformation are provided.
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MacKenzie, Adrian, and Anna Munster. "Platform Seeing: Image Ensembles and Their Invisualities." Theory, Culture & Society 36, no. 5 (2019): 3–22. http://dx.doi.org/10.1177/0263276419847508.

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How can one ‘see’ the operationalization of contemporary visual culture, given the imperceptibility and apparent automation of so many processes and dimensions of visuality? Seeing – as a position from a singular mode of observation – has become problematic since many visual elements, techniques, and forms of observing are highly distributed through data practices of collection, analysis and prediction. Such practices are subtended by visual cultural techniques that are grounded in the development of image collections, image formatting and hardware design. In this article, we analyze recent transformations in forms of prediction and data analytics associated with spectacular performances of computation. We analyze how transformations in the collection and accumulation of images as ensembles by platforms have a qualitative and material effect on the emergent sociotechnicality of platform ‘life’ and ‘perception’. Reconstructing the visual transformations that allow artificial intelligence assemblages to operate allows some sense of their heteronomous materiality and contingency.
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Bystrova, I. V., and B. P. Podkopaev. "Functional Diagnosis of Digital State Automation Networks." Journal of the Russian Universities. Radioelectronics, no. 2 (June 5, 2018): 12–19. http://dx.doi.org/10.32603/1993-8985-2018-21-2-12-19.

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The problem of functional diagnosis of digital devices forming a network of state automata is considered. This task for the network components is supposed to be solved, and the corresponding diagnostic devices for them are provided. The possibility of their population transformation into the tools for the entire network diagnostics is shown. The result of the transformation with the restrictions on the number of components with errors is simplified in compare with the original population. A procedure is proposed allowing to find analytical expressions defining an auxiliary control and an error discriminator for the most probable case of error localization (all errors are concentrated in a certain component of the network). The first part of the article provides a solution of the functional diagnosis problem for the case when the parity functions of all components are scalar, and the class of detectable errors is given by unit multiplicity. Next, the result generalizes for the case of vector functions, where multiple errors can occur. The procedure minimizes the sought for functional diagnosis devices with respect to the order when preserving the initial detecting ability within any network component. The obtained results are illustrated by an example of construction of functional diagnosis equipment for ranging signal processing device in broadband short-range radio engineering navigation system.
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Legner, Robin, Alexander Wirtz, and Martin Jaeger. "Using Compact 1H NMR, NIR, and Raman Spectroscopy Combined with Multivariate Data Analysis to Monitor a Biocatalyzed Reaction in a Microreaction System." Journal of Spectroscopy 2018 (December 2, 2018): 1–11. http://dx.doi.org/10.1155/2018/5120789.

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Process analytical technology aims at process knowledge and process improvement, efficiency, and sustainability. A prerequisite is process monitoring. The combination of microreaction systems and spectroscopy proved suitable due to dimension and compound reduction and real-time monitoring capabilities. Compact 1H NMR, NIR, and Raman spectroscopy were used to monitor the biocatalyzed hydrolysis and esterification of acetic anhydride to isoamyl acetate using immobilized Candida antarctica lipase B (CALB) in a microreaction system in real-time. To facilitate the identification of signals suitable for the extraction of concentration-time (c-t) graphs, 2D heterocorrelation spectra were generated through covariance transformations applied to 1D Raman, NIR, and NMR data. By means of this purely mathematical statistical procedure, the relevant signals of the process media were assigned to educts and products and thus made applicable for univariate data evaluation. The data obtained were interpreted in terms of a first-order kinetic model, and corresponding reaction rate constants were extracted. An alternative, elegant, and fit-for-automation approach for the kinetic analysis of the spectra was demonstrated in using multivariate curve resolution (MCR). The results of the univariate and multivariate approaches were comparable with regard to reaction rates and concentrations. While the manual integration of the 1H NMR spectra followed by univariate analysis allowed to establish a concentration profile of the final product isoamyl acetate hence revealing more details, multivariate analysis was found more suitable for process automation.
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Elsafty, Ashraf, and Ahmed Elzeftawy. "The New Era of Digital Transformation and COVID-19 Effect on The Employment in Mobile Operators in Egypt." Business and Management Studies 7, no. 1 (2021): 74. http://dx.doi.org/10.11114/bms.v7i1.5145.

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A fear from Technological Advances mainly automation and artificial intelligence (AI) has been raised since the beginning of the 21st century, that machines will eliminate human beings performing certain tasks. Several models were developed to measure the effect of the Automation & AI on the employment and was applied on several countries. The first model was developed by Carl Benedikt Frey and Michael A. Osborne was called An Occupation-Based Approach, 2013. In which they define several tasks and call it “Engineering-Bottlenecks”. Katharina Dengler, Britta Matthes and Wiebke Paulus, 2014 made The Occupational Tasks model in which they use the assignment of activities explained by Alexandra Spitz-Oener and categorize the non-automatable tasks as: analytical non-routine tasks, interactive non-routine tasks. The last model was A-Task Based Approach by Melanie Arntz, Terry Gregory, 2016 in which they argue that FO Model Ignore that, the occupations consist of many tasks, part of them can be automated and another part cannot be. These models were applied on the level of the countries but not on corporate levels.The purpose of this paper is to combine the above three models and applying them on the Mobile operators in Egypt to determine the effect of Automation and AI on the Employment there, taking into consideration the incremental risk from COVID-19 which influenced the humanity.The conclusion of this research is that 41% of the staff working in the Technology field on the mobile operators, their jobs are subject to automation and COVID-19 will make an incremental Risk of 8%, due to creation of efficiency on performing the un-automatable tasks from home through digital platforms.
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Yoganandham, Dr G. "Technological Transformation And Progress Of Agricultural Development In Gudiyattam Taluk – An Assessment." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 971–80. http://dx.doi.org/10.17762/turcomat.v12i6.2376.

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The present day farming habitually employ trendy know-how such as automation, warmth and moisture sensors, aerial images, and GPS know-how. These highly developed devices and accuracy farming and mechanical structure permit business to be more money-making, competent, safer, and extra environmentally gracious. Contemporary farming knowledge is used to develop the wide types of production learn working by farmers. It is the basis of technological transformation. Advocating technology transfer should believe the various kinds of social capital as a choice policy alternative to the existing top down move towards in order to get better smallholder source of revenue. The key technological know-how modernization in the breathing space encompass paying attention about the areas such as indoor vertical farming, automation and robotics, livestock technology, modern greenhouse practices, precision agriculture and artificial intelligence, and block chain.
 Contemporary agricultural practices use mechanized tools for irrigation, tilling and harvesting beside with hybrid seeds. In India, the cultivation know-how are labour intensive, whereas the contemporary agriculture equipment are mostly capital intensive. In this background, the researcher mainly concentrates on Technological Transformation and Progress of Agricultural Development in Gudiyattam Taluk of Vellore of Tamil Nadu in analytical perspectives.
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Poghosyan, Arnak, Ashot Harutyunyan, Naira Grigoryan, et al. "An Enterprise Time Series Forecasting System for Cloud Applications Using Transfer Learning." Sensors 21, no. 5 (2021): 1590. http://dx.doi.org/10.3390/s21051590.

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The main purpose of an application performance monitoring/management (APM) software is to ensure the highest availability, efficiency and security of applications. An APM software accomplishes the main goals through automation, measurements, analysis and diagnostics. Gartner specifies the three crucial capabilities of APM softwares. The first is an end-user experience monitoring for revealing the interactions of users with application and infrastructure components. The second is application discovery, diagnostics and tracing. The third key component is machine learning (ML) and artificial intelligence (AI) powered data analytics for predictions, anomaly detection, event correlations and root cause analysis. Time series metrics, logs and traces are the three pillars of observability and the valuable source of information for IT operations. Accurate, scalable and robust time series forecasting and anomaly detection are the requested capabilities of the analytics. Approaches based on neural networks (NN) and deep learning gain an increasing popularity due to their flexibility and ability to tackle complex nonlinear problems. However, some of the disadvantages of NN-based models for distributed cloud applications mitigate expectations and require specific approaches. We demonstrate how NN-models, pretrained on a global time series database, can be applied to customer specific data using transfer learning. In general, NN-models adequately operate only on stationary time series. Application to nonstationary time series requires multilayer data processing including hypothesis testing for data categorization, category specific transformations into stationary data, forecasting and backward transformations. We present the mathematical background of this approach and discuss experimental results based on implementation for Wavefront by VMware (an APM software) while monitoring real customer cloud environments.
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Muravskyi, Volodymyr, and Vasyl Muravskyi. "Experience of using specialized electronic accounting machines." Herald of Ternopil National Economic University, no. 2(96) (July 10, 2020): 194–207. http://dx.doi.org/10.35774/visnyk2020.02.194.

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ntroduction. R&D intensification and semiconductor technologies actualization in the 70’s of XX century led to the development of specialized electronic computers («Electronic accounting machines»); intended for the automation of accounting and analytical work. The most popular among specialized computing equipment was the electronic accounting machine “Iskra 554ˮ (later – “Iskra 555ˮ); the use of which has made significant changes in accounting practices of the USSR enterprises. Purpose. The main aim is to scientifically substantiate the transformation processes in the organization and methodology of accounting with the implementation of small specialized electronic accounting machines (on the example of “Iskra 554 (555)ˮ) and to study the experience of their use for accounting processes automation of different objects and types of economic activity. Methods. General scientific empirical and logical methodical methods of knowledge of reality were used in the process of substantiating the relationship between the implementation of electronic accounting machines in the USSR enterprises and the transformation of accounting. The historical method of investigation of facts and phenomena is the basis of the retrospective positioning of the specialized computers evolution with their introduction into the accounting practice of various activity enterprises. The information base of the research was the historical documents about the electronic accounting machines; scientific works of domestic and foreign scientists in the field of accounting automation in the USSR; etc. Results. The history of accounting automation using the electronic accounting machine “Iskra 554 (555)ˮ is analyzed. Technical and functional characteristics of USSR and foreign small specialized computers are compared. The influence of the electronic accounting machine “Iskra 554 (555)ˮ using in the organization and methodology of accounting in the USSR has been determined. It is proved that the implementation of specialized technical equipment in the accounting practice of the USSR enterprises led to the table-automated form of accounting actualization. The experience of using the electronic accounting machine “Iskra 554 (555)ˮ for automation of accounting information processing in industry; trade; agriculture; motor transport; banking and postal sphere; education is investigated. Discussion.The impact of the electronic accounting machine “Iskra 554 (555)ˮ using on the transformation of the functional responsibilities of accounting and management professionals remains unclear. Personalization of accounting calculations using small specialized computers has led to the evolutionary improvement of the organizational structure of management of the USSR enterprises; which needs further scientific research.
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Khomoviy, S., N. Tomilova, and M. Khomovju. "Realiaof accounting automation in agricultural enterprises of Ukraine." Ekonomìka ta upravlìnnâ APK, no. 2 (143) (December 27, 2018): 115–21. http://dx.doi.org/10.33245/2310-9262-2018-143-2-115-121.

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Accountancy is an integral part of any enterprise functioning. But it is impossible to keep an accounting without using a computer and software in modern economic conditions. Nowadays, the introduction of sanctions against the manufacturer and a number of dealers of one of the most popular software products, «1S: Accounting» introduced the problem of choosing accounting software before a considerable number of business entities that would be allowed for the use on the territory of Ukraine. There is a transformation of the accounting system and accounting procedures in the conditions of the use of the computer technologies and software products for accounting automation, which is accompanied by the increase in the quality and efficiency level of the management process. The application of automation software significantly increases the quality of accounting information process in organizations. We consider the main advantages of the use of modern information technology for automation of accounting procedures on the basis of the conducted critical analysis of special literature. They are: 1) processing and preserving a large number of identical units in the structural plan of accounting information; 2) the possibility of choosing the necessary information from a great number of data; 3) reliable and faultless realization of mathematical calculations; 4) operational obtaining of the necessary data for the adoption of reasonable management decisions; 5) repeated recreation of actions. It should be noted that in the conditions of the use of automated forms of accounting, the technological process of processing of records envisages the implementation of the following successive steps:1) collection and registration of primary data for further realization of automated processing; 2) the formation of arrays of records on electronic media, including: a journal of economic operations, the structure of synthetic and analytical accounts, manuals of analytical objects, permanent information etc.; 3) receiving, at the request of the user, the necessary accounting data for the reporting period in the form of registers of synthetic accounting, analytical tables and certificates of accounts. The overview of the major software products («Parus accounting», «SAP», «Master: accounting», «IS-pro»), which are widely used in Ukraine, showed that despite the restrictions, most enterprises, including those providing outsourcing services, continue to use the «1S: Accounting» program for keeping records. From our point of view, the most optimal accounting program of ukrainian production is «Master: accounting», which could completely replace the software product «1S: Accounting» in the field of agriculture. The software product «Master: agro» for keeping records of agrobusinesses meets the requirements of the current legislation of Ukraine and is fully adapted to the ukrainian market. It consists of functional modules embracing all areas of accounting and tax accounting. The important advantage of the program «Master: accounting» is also a training program for partners, which is made for 12 classes. The main purpose of this is to provide partners with practical skills in installing the program and the features of the configuration of its modules, the study of basic programming tools and settings for solving account tasks. The studying process is divided into 3 levels. The first level is «user» ‒ designed for anyone who can potentially work with the program. The second level «consultant» is for the automatic setting and training of users. The third «developer» is for those companies and partners who need aintenser adaptation of the product to the working process. Key words: automation, program, computer technologies, accounting of enterprise.
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Nieampradit, Wutipong, Sarawan Wongsa, and Isaratat Phung-On. "An Automatic Selection of Segment Width for the Single Sensor Differential Thermal Analysis (SS-DTA) Based on Piecewise Linear Approximation Technique." Key Engineering Materials 658 (July 2015): 96–100. http://dx.doi.org/10.4028/www.scientific.net/kem.658.96.

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Single Sensor Differential Thermal Analysis (SS-DTA) is a novel non-destructive testing technique for studying and detecting the phase transformations and structural changes in materials. It uses only one temperature sensor to measure the temperature in a particular point of interest in the material during actual and simulated thermal processing of the material. SS-DTA compares the temperature recorded in a tested specimen against a reference thermal profile which can be generated either by analytical formulae or piecewise linear approximation. The main advantage of piecewise linear approximation over the analytical formulae is that it does not need the knowledge of tested material and processing conditions to optimally estimate the parameters of reference thermal history. On the other hand, in order to apply the piecewise linear approximation technique we must specify the segment width which is normally fixed at a nominal value of 1.5 seconds. We have recently found that this nominal value might not be an optimal choice for the segment width as it does not guarantee to give the best detectability of phase transformation. Therefore, in this research work we proposed a technique to automatically select an appropriate value of the segment width. The performance of proposed method has been evaluated by investigating the phase transformations of welded stainless steel SUS 321and SUS 304. It was found that the appropriate segment width could be ranging from 1.25-1.75 seconds and by using this selection technique, we could detect the differential temperature more accurately than when using the nominal value.
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Dissertations / Theses on the topic "Automation of analytical transformations"

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Заковоротный, Александр Юрьевич. "Синтез автоматизированной системы управления подвижным составом на основе геометрической теории управления и нейронных сетей". Thesis, НТУ "ХПИ", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/28330.

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Диссертация на соискание ученой степени доктора технических наук по специальности 05.13.07 – автоматизация процессов управления. – Национальный технический университет "Харьковский политехнический институт", Харьков, 2017. Диссертация посвящена решению научно-прикладной проблемы разработки бортовой системы поддержки принятия решений машинистом, созданной на основе обобщенных математических моделей и средств оптимизации динамики подвижных объектов с использованием новых методов и программного обеспечения, а также новой технологии обработки информации на основе стабильно-пластичных нейронных сетей и новых моделей ассоциативной памяти, что создает теоретическую предпосылку разработки автоматических систем управления подвижным составом и позволяет улучшить его энергетические характеристики. Разработана модель дизель-поезда, учитывающая основные виды колебаний вагонов и распределение сил взаимодействия между ними во время движения, а также параллельную работу тяговых приводов, которая адекватно отражает процессы, протекающие на реальном объекте. Разработано программное обеспечение, реализующее человеко-машинную систему, которая позволяет автоматизировать аналитические преобразования геометрической теории управления при синтезе моделей в форме Бруновского для объектов, описываемых системами обыкновенных дифференциальных уравнений высокого порядка с несколькими управлениями. На основе нейронных сетей адаптивной резонансной теории, способных решать задачи с несколькими решениями, предложен новый метод поиска функций преобразования между переменными линейных и нелинейных моделей. С помощью принципа максимума решены две задачи оптимального управления тяговым подвижным составом: максимального быстродействия и минимизации взвешенной линейной комбинации времени и расходов квадрата управления, что позволяет, с одной стороны, получить для каждого участка пути законы управления, которые определяют минимально необходимое время для преодоления перегона, а с другой стороны, получить законы управления, обеспечивающие график движения и минимизацию расхода топливно-энергетических ресурсов. Разработаны стабильно-пластичные нейронные сети Хемминга, Хебба и сети на основе перцептрона, способные распознавать новую информацию и дообучаться в процессе своего функционирования, которые позволяют использовать их как альтернативу дискретным нейронным сетям адаптивной резонансной теории. Разработана бортовая система поддержки принятия решений, которая позволяет в реальных условиях скоростного движения выдавать машинисту закон управления поездом, при котором соблюдается график движения при минимальных затратах топливно-энергетических ресурсов. Для реализации базы данных системы поддержки принятия решений машинистом разработана N-направленная нейросетевая ассоциативная память, которая способна восстанавливать по входному вектору множество из N векторов, ассоциативных к входной информации, и двунаправленная многослойная дискретная ассоциативная память с управляющими нейронами, которая способна восстанавливать цепочки ассоциаций и корректировать результаты с учетом дополнительной информации. Создана база знаний, позволяющая запоминать несколько равноценных решений о законе управления поездом для текущего перегона, нейросетевая система диагностики тяговых двигателей и система, позволяющая прогнозировать возникновение и подавлять развитие буксования колесных пар во время движения. Приведены результаты экспериментальных исследований интеллектуальной системы поддержки принятия решений машинистом и законов оптимального управления подвижным составом, которые подтвердили достоверность предложенных решений по автоматизации процессов управления движением дизель-поезда.<br>Dissertation for the degree of Doctor of Technical Science on Specialty 05.13.07 – Automation of Control Processes. – National Technical University "Kharkіv Polytechnic Institute", Kharkіv, 2017. The dissertation is devoted to solving scientific and applied problems of increasing energy characteristics of traction rolling stock, traction asynchronous drive through the development and introduction of new onboard intellectual decision support system of machinist that is based on more accurate models and optimize dynamics tools, using new methods and specialized software and new technologies of information processing based on stable and plastic neural networks and new models of associative memory, which creates theoretical precondition for developing of automatic control systems of high-speed rolling stock. Developed a comprehensive diesel-train model that takes into account the principal vibrations of the rolling stock and the distribution of forces of interaction between them, as well as parallel performance of traction drive of wagons with motors that adequately reflects the processes that occur on the real object. Developed specialized software that realizes the man-machine system that automates the conversion of analytical geometric control theory in the synthesis models to the Brunovsky form. Based on the neural networks that can solve problems with multiple solutions, developed a new method of search switching functions between the variables in the form of linear models Brunovsky and variables of nonlinear models control object. Developed stable-flexible Hamming neural networks, Hebb and other networks based on Perceptron, that can recognize new information and studying during its performance and modification Hamming neural network, capable identify several solutions. Has developed structure and components of the onboard intellectual decision support system that allows the actual use of the rolling stock and when happening currently changing road conditions, system can give for machinist new control laws under which adheres to a schedule for the least cost fuel and energy resources. Conducted experimental investigations on mathematical models and real object that confirming the correctness of the proposed solutions, methods and algorithms.
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Заковоротний, Олександр Юрійович. "Синтез автоматизованої системи управління рухомим складом на основі геометричної теорії керування та нейронних мереж". Thesis, НТУ "ХПІ", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/28327.

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Дисертація на здобуття наукового ступеня доктора технічних наук за спеціальністю 05.13.07 – автоматизація процесів керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2017. Дисертація присвячена вирішенню науково-прикладної проблеми розробки бортової системи підтримки прийняття рішень машиністом, що створена на основі узагальнених математичних моделей та засобів оптимізації динаміки рухомих об'єктів з використанням нових методів та програмного забезпечення, а також нової технології обробки інформації на основі стабільно-пластичних нейронних мереж та нових моделей асоціативної пам'яті, яка створює теоретичну передумову розробки автоматичних систем керування рухомим складом та дозволяє поліпшити його енергетичні характеристики. Розроблено модель дизель-поїзда, що враховує основні види коливань вагонів та розподіл сил взаємодії між ними, а також паралельну роботу тягових двигунів обмоторених вагонів, що адекватно відображає процеси, які протікають на реальному об'єкті. Розроблено спеціалізоване програмне забезпечення, що реалізує людино-машинну систему, яка дозволяє автоматизувати аналітичні перетворення геометричної теорії керування при синтезі моделей у формі Бруновського. На основі нейронних мереж, що здатні вирішувати завдання з декількома рішеннями, розроблено новий метод пошуку функцій переходу між змінними нелінійних і лінійних моделей у формі Бруновського. Розроблені стабільно-пластичні нейронні мережі Хеммінга, Хебба та мережі на основі перцептрона, здатні розпізнавати нову інформацію й донавчатися в процесі функціонування, та модифікацію нейронної мережі Хеммінга, що здатна визначати декілька рішень. Розроблено структуру та складові бортової системи підтримки прийняття рішень, що дозволяє в реальних умовах експлуатації рухомого складу й поточній зміні дорожньої обстановки видавати машиністу закон керування, при якому дотримується графік руху за мінімальних витрат паливо-енергетичних ресурсів. Проведені дослідження на математичних моделях і реальному об'єкті, результати яких підтверджують правильність запропонованих рішень, методів та алгоритмів.<br>Dissertation for the degree of Doctor of Technical Science on Specialty 05.13.07 – Automation of Control Processes. – National Technical University "Kharkіv Polytechnic Institute", Kharkіv, 2017. The dissertation is devoted to solving scientific and applied problems of increasing energy characteristics of traction rolling stock, traction asynchronous drive through the development and introduction of new onboard intellectual decision support system of machinist that is based on more accurate models and optimize dynamics tools, using new methods and specialized software and new technologies of information processing based on stable and plastic neural networks and new models of associative memory, which creates theoretical precondition for developing of automatic control systems of high-speed rolling stock. Developed a comprehensive diesel-train model that takes into account the principal vibrations of the rolling stock and the distribution of forces of interaction between them, as well as parallel performance of traction drive of wagons with motors that adequately reflects the processes that occur on the real object. Developed specialized software that realizes the man-machine system that automates the conversion of analytical geometric control theory in the synthesis models to the Brunovsky form. Based on the neural networks that can solve problems with multiple solutions, developed a new method of search switching functions between the variables in the form of linear models Brunovsky and variables of nonlinear models control object. Developed stable-flexible Hamming neural networks, Hebb and other networks based on Perceptron, that can recognize new information and studying during its performance and modification Hamming neural network, capable identify several solutions. Has developed structure and components of the onboard intellectual decision support system that allows the actual use of the rolling stock and when happening currently changing road conditions, system can give for machinist new control laws under which adheres to a schedule for the least cost fuel and energy resources. Conducted experimental investigations on mathematical models and real object that confirming the correctness of the proposed solutions, methods and algorithms.
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de, Alwis Wathuthanthirige Uditha. "Analytical applications of chemically modified antibodies." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184601.

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The components involved in an immunoassay were investigated in order to improve the detection limits of the ELISA and to make the assay adaptable to a flow injection analysis (FIA) configuration. The goal being the total automation of the ELISA procedure which is long, tedious and has high standard deviation. The antibody purification and cleavage methods were studied with special emphasis on obtaining products with highest immunological activity. The antibody-enzyme coupling reactions using homobifunctional reagents and heterobifunctional reagents were studied in order to attempt the preparation of highly characterized reagents. The fragments of IgG were coupled to polymeric supports via the hinge thiol groups to retain the maximum immunological activity. This method was found to be superior to those methods involving coupling via amino group. These reagents were used in the development of a sandwich ELISA for bovine IgG. The range of assay was in the 20-1000 femtomole range with a linear dynamic range of 2 orders of magnitude and an accuracy of 2-5%. A competitive ELISA based on the use of immobilized anti-human IgG Fab' fragments was developed. The linear dynamic range for this assay was found to be less than one order of magnitude. The detection limit was in the low picomole range with an accuracy of 2-5%. Based on the principle used in the two assays an enzyme immobilization scheme was developed for the reversible immobilization of these enzymes. Which was subsequently utilized in the determination of substrate in the picomole range in a reagent less FIA technique. The goals of this research project were realized in that the FIA system utilized in this work was capable of carrying out totally automated ELISA assays with an accuracy far surpassing the conventional plate ELISA assays.
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Shpotyuk, O., M. Brunner, I. Hadzaman, V. Balitska, and H. Klym. "Analytical description of degradation-relaxation transformations in nanoinhomogeneous spinel ceramics." Thesis, Abstract Book of International research and practice conference: Nanotechnology and nanomaterials. 24-27 August 2016. Lviv, Ukraine. P.622, 2016. http://hdl.handle.net/123456789/3081.

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Scharfstein, Daniel Oscar. "Analytical performance measures for the miniload automated storage/retrieval system." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/25192.

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Law, Yuk-Kwong. "An analytical tool with optimisation methods for the automation of fixture design." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337904.

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Park, Byung Chun. "Analytical models and optimal strategies for automated storage/retrieval system operations." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24568.

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Bathla, Rajender, and Anil Kapil. "Analytical Scenario of Software Testing Using Simplistic Cost Model." IJCSN, 2012. http://hdl.handle.net/10150/219531.

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Software testing is the process of executing a program with the intention of finding errors in the code. It is the process of exercising or evaluating a system or system component by manual automatic means to verify that it satisfies specified requirements or to identify differences between expected and actual results [4]. Software Testing should not be a distinct phase in System development but should be applicable throughout the design development and maintenance phases. ‘Software Testing is often used in association with terms verification & validation ‘Software testing is the process of executing software in a controlled manner, in order to answer the question: Does the software behave as specified. One way to ensure system‘s responsibility is to extensively test the system. Since software is a system component it requires a testing process also.<br>Software can be tested either manually or automatically. The two approaches are complementary: automated testing can perform a huge number of tests in short time or period, whereas manual testing uses the knowledge of the testing engineer to target testing to the parts of the system that are assumed to be more error-prone. Despite this contemporary, tools for manual and automatic testing are usually different, leading to decreased productivity and reliability of the testing process. Auto Test is a testing tool that provides a “best of both worlds” strategy: it integrates developers’ test cases into an automated process of systematic contractdriven testing. This allows it to combine the benefits of both approaches while keeping a simple interface, and to treat the two types of tests in a unified fashion: evaluation of results is the same, coverage measures are added up, and both types of tests can be saved in the same format. The objective of this paper is to discuss the Importance of Automation tool with associate to software testing techniques in software engineering. In this paper we provide introduction of software testing and describe the CASE tools. The solution of this problem leads to the new approach of software development known as software testing in the IT world. Software Test Automation is the process of automating the steps of manual test cases using an automation tool or utility to shorten the testing life cycle with respect to time.
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Nazzal, Dima. "Analytical Approach to Estimating AMHS Performance in 300mm Fabs." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11557.

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This thesis proposes a computationally effective analytical approach to automated material handling system (AMHS) performance modeling for a simple closed loop AMHS, such as is typical in supporting a 300mm wafer fab bay. Discrete-event simulation can produce accurate assessments of the production performance, including the contribution by the AMHS. However, the corresponding simulation models are both expensive and time-consuming to construct, and require long execution times to produce statistically valid estimates. These attributes render simulation ineffective as a decision support tool in the early phase of system design, where requirements and configurations are likely to change often. We propose an alternative model that estimates the AMHS performance considering the possibility of vehicle-blocking. A probabilistic model is developed, based on a detailed description of AMHS operations, and the system is analyzed as an extended Markov chain. The model tracks the operations of all the vehicles on the closed-loop considering the possibility of vehicle-blocking. The resulting large-scale model provided reasonably accurate performance estimates; however, it presented some computational challenges. These computational challenges motivated the development of a second model that also analyzes the system as an extended Markov chain but with a much reduced state space because the model tracks the movement of a single vehicle in the system with additional assumptions on vehicle-blocking. Neither model is a conventional Markov Chain because they combine the conventional Markov Chain analysis of the AMHS operations with additional constraints on AMHS stability and vehicle-blocking that are necessary to provide a unique solution to the steady-state behavior of the AMHS. Based on the throughput capacity model, an approach is developed to approximate the expected response time of the AMHS to move requests. The expected response times are important to measure the performance of the AMHS and for estimating the required queue capacity at each pick-up station. The derivation is not straightforward and especially complicated for multi-vehicle systems. The approximation relies on the assumption that the response time is a function of the distribution of the vehicles along the tracks and the expected length of the path from every possible location to the move request location.
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Wang, Jiong. "Analytical studies on the force-induced phase transitions in slender shape memory alloy cylinders layers /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-ma-b23750546f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.<br>"Submitted to Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves [214]-224)
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Books on the topic "Automation of analytical transformations"

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Fleischer, Heidi, and Kerstin Thurow, eds. Automation Solutions for Analytical Measurements. Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527805297.

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Currell, Graham. Analytical instrumentation: Performance characteristics and quality. Wiley, 2000.

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Saint-Pierre, Céline. L' histoire du travail: Transformations technologiques et organisation de la production. Service de la recherche et de l'évaluation, Musée de la civilisation, 1993.

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Drabenstott, Karen Markey. Analytical review of the library of the future. Council on Library Resources, 1994.

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Drabenstott, Karen Markey. Analytical review of the library of the future. Council on Library Resources, 1994.

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Markey, Karen. Analytical review of the library of the future. Council on Library Resources, 1994.

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Henke, Dan F. Law in the digital age: The challenge of research in legal information centers : an analytical justification for law libraries. Glanville Publishers, 1997.

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Information technology, organisations, and people: Transformations in the UK retail financial services sector. Routledge, 1998.

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1982-, Xu Tao, ed. Digital microfluidic biochips: Design automation and optimization. Taylor & Francis, 2010.

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Ann, Mattoon Mary, ed. Destruction and creation, personal and cultural transformations: Proceedings of the Fourteenth International Congress for Analytical Psychology, Florence, 1998. Daimon Verlag, 1999.

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Book chapters on the topic "Automation of analytical transformations"

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Ardema, Mark D. "Contact Transformations." In Analytical Dynamics. Springer US, 2005. http://dx.doi.org/10.1007/0-306-48682-2_16.

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Malcher, Michelle. "The Art of Automation." In DBA Transformations. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3243-9_8.

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Strocchi, Franco. "Generation of canonical transformations." In A Primer of Analytical Mechanics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73761-4_5.

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Palkovic, Martin, Miguel Miranda, Francky Catthoor, and Diederik Verkest. "High-level condition expression transformations for design exploration." In System Design Automation. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6666-0_5.

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Fifield, F. W., and D. Kealey. "Overall Analytical Procedures and their Automation." In Principles and Practice of Analytical Chemistry. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2179-2_12.

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Mészáros, András, Gábor Horváth, and Miklós Telek. "Representation Transformations for Finding Markovian Representations." In Analytical and Stochastic Modeling Techniques and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39408-9_20.

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Matzner, Alexander, Mark Minas, and Axel Schulte. "Efficient Graph Matching with Application to Cognitive Automation." In Applications of Graph Transformations with Industrial Relevance. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89020-1_21.

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Hrischuk, Curtis E. "A Model Making Automation Process (MMAP) Using a Graph Grammar Formalism." In Theory and Application of Graph Transformations. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-46464-8_31.

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Kuznetsov, Nikolay, Olga Kuznetsova, Gennady Leonov, and Vladimir Vagaitsev. "Analytical-Numerical Localization of Hidden Attractor in Electrical Chua’s Circuit." In Informatics in Control, Automation and Robotics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31353-0_11.

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Ni, Shaobo, Jianwu Wu, Jiayuan Shan, Lei Liu, and Mao Su. "The Analytical Algorithm of Program Quaternion in the Arbitrary Spacecraft Attitude-Adjusting Control." In Informatics in Control, Automation and Robotics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25992-0_93.

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Conference papers on the topic "Automation of analytical transformations"

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Kabulov, Anvar, Aziz Ashurov, and Mansur Berdimurodov. "Analytical transformations in minimizing logical functions." In 2020 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2020. http://dx.doi.org/10.1109/icisct50599.2020.9351514.

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Lee, Chung-Ching, and Jeng-Hong Chou. "Kinematics of a 3-DOF Translational Parallel Mechanism With 3-PRPaR Topology." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57193.

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From the standpoint of kinematics, we present a type of three-dof pure spatial translational parallel mechanism with 3-PRPaR topology as an alternative to design automation devices and a regional structure of a six-dof hybrid parallel platform. First, we describe the structural properties of mechanism and analyze its kinematic mobility. It is verified that a pure translational motion does exist through the coordinate transformation technique and the well-known D-H parametric notations. Then, we proceed with the forward and inverse kinematic analysis and derive their analytical closed-form solutions by the matrix algebra method. For the confirmation of the derived equations, some numerical examples are also taken. Furthermore, with the help of the forward kinematics, we derive the workspace in the analytical form. Finally, taking account of the overall Jacobian matrix provides the condition number and the identification of singular configuration is explored based on direct and inverse kinematics Jacobian matrix.
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Hamedifar, Hamed, and Herve Wilczynski. "Planning for Unknown in The New Age of Digital: A Paradigm for Offshore Oil and Gas Risk Assessment and Management." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31057-ms.

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Abstract Major Oil and Gas operators and service companies look to undertake large scale digital transformations aimed at producing integrated, connected, and intelligent enterprises. These transformations require accelerating the journey to the cloud to modernize the entire application portfolio. By transitioning to the cloud, firms enjoy improved data analytics which allow for evolution to next generation digital work environment. This shift, however, comes with workforce challenges. Employees in all categories and at most levels will require significant cross- and up-skilling to take full advantage of the digital transformation. As vendors, suppliers, service companies, and operators move products and equipment around an expanding ecosystem of assets, security threats are likely to increase due to further geopolitical instability. Data based decision making, which enables the optimization of assets and automation of operations to minimize workforce risk exposure must be implemented with consideration of enterprise risk reduction (across the asset and workforce operational risk life cycle). As Oil and Gas operations become more geographically dispersed and diverse, they are exposed to new and evolving risk factors which can directly impact value. These risk factors make asset acquisition, development, management, and maintenance all more challenging. Analyses of risk in a digital foundation risk-based platform is most valuable at the earliest stages of asset development in determining whether to proceed with the planned development through to end-of-life decommissioning. Successful firms must create an end-to-end digital roadmap which delineates between technical and transactional activities and outlines effective stakeholder engagement at each project stage. The fundamental thesis of this paper is that although risk can be mitigated and reduced through the introduction of digital tools into oil and gas operations, it can never be completely removed. Furthermore, while industry research on the impact of digitalization usually rely heavily on cost savings, optimization, and health, safety, and environment (HSE) related cases, they typically fail to consider the contribution of digitalization on risk assessment and management. This paper argues that we need to move away from the focus on cost savings, process optimization, and HSE metrics improvement metrics. This paper sets up a mechanism for developing risk-based strategies for implementation of digital solutions.
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Solanke, Ganesh B., and K. Rajeswari. "SQL to NoSQL transformation system using data adapter and analytics." In 2017 IEEE International Conference on Technological Innovations in Communication, Control and Automation (TICCA). IEEE, 2017. http://dx.doi.org/10.1109/ticca.2017.8344580.

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Lin, Yu-Long, and D. C. H. Yang. "Automatic Development Generation for Thin-Walled Objects." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0079.

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Abstract This paper presents an analytical study on automatic development generation of thin-walled objects. Formulas based on mechanism theory are derived to determine the required number of seam lines for developing thin-walled objects. Subsequently, the seam line locations are determined via the identification of the minimum required seam line number at each vertex. An algorithm based on spanning tree technique has been developed to automatically generate all possible developments. Configurations with geometrical violations can be automatically detected and deleted. In addition, a new unfolding technique based on individual surface transformation has been presented. This technique requires less computational time in the unfolding process than the traditional sequential transformation method.
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Abu Bakar, Afdzal Hizamal, Muhamad Nasri Jamaluddin, Rizwan Musa, et al. "Connecting Reservoir, Wells, Facilities Management, HSEE to Accelerate Data Driven Value: Digital Fields Expansion." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204841-ms.

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Abstract Oil &amp; gas industry player have always been big investors in advancement of technology, especially in the direction of extracting additional petroleum to address the production decline. In the spirit of automation, PETRONAS has various automated technical workflows that tackles different types of challenges and purposes. The operational, technical and engineering aspects of increasing production and effectiveness of execution are built upon these processes related to automation of data sources as well as systems integration. With the recent challenge that forced the employees to work remotely, it is now more important than ever to ensure that the Digital Fields (DF) solution can cater for more information and to transform the way of working. Linking distant teams to work together on the same platform to resolve production related issues, centralized monitoring and diagnostics is key to this transformation. Workflows can enable organizational vision since having the right type of information available in a visualization environment that provides actionable insights to the right "persona" across different domains and teams accelerates production increases and decreases the production decline at brown fields. The success of this is linked with working together with the Reservoir, Wells and Facilities Management (RWFM) team to ensure the critical information are captured. The improved synergy between offshore and onshore staff due to the shared operations visualization supports further analysis and decision making irrespective of their location. Providing the "persona" with the relevant production and other related data in a modern analytical platform allows them to concentrate on production optimization rather than the data gathering aspect of the traditional method. PETRONAS has considerable experience in developing automated digital oilfield workflow solutions and extending Digital Fields capabilities with greater coverage of other systems such as Health, Safety, and Environment (HSE) and topside facility management is part of the current and future roadmap. In this paper, we will describe the journey taken by PETRONAS Upstream Digital in extending the Digital Fields capability, and how the effort in digital transformation has helped in unlocking greater value in the daily operation.
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Pokrovsky, Y. A., E. A. Makaretsky, and A. V. Polynkin. "Analytical calculation methods for eigenfunctions and eigenvalues of Karhunen-Loeve transformations." In Second International Conference on Optical Information Processing, edited by Zhores I. Alferov, Yuri V. Gulyaev, and Dennis R. Pape. SPIE, 1996. http://dx.doi.org/10.1117/12.262582.

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Bin He, Yan Qiu, and Ze-ying Li. "Similarity Reasoning and Similarity Transformations." In 2007 IEEE International Conference on Control and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icca.2007.4376644.

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Ahmed, Talha Rafi, Bastien Januel, and Morealvin Fuenmayor. "Digital Transformation Journey of Field Operations at Abu Dhabi Offshore Field in UAE." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207386-ms.

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Abstract Field operations generate large volumes of data from various equipment and associated Meta data such as inspection due dates, maintenance schedule, people on board, etc. The data is often stored in silos with a data guardian for each entity. The objective of this project was to volarize the data by developing engineered KPI's to drive decision making and make data accessible for everyone in the organization to foster cross collaboration. Data analytics and visualization solutions were developed to automate low value-added tasks either using robotic process automation scripts or business intelligence reporting tool. Data was residing either in spreadsheet or native applications. With support of IT, centralized database was established. Scrum agile project management techniques were used to develop digital solutions. A high-level digital road map was created consulting all teams including stake holders. Use cases were identified and captured in lean A3 problem solving format. Each use case clearly identified the benefits to organization, and this was used to prioritize the use cases. A sprint was set-up with agile team and products were developed as per end user's expectation. The constant feedback loop via daily stand-up meetings helped the team deliver value added products. Digital solutions were developed to automate low value-added tasks so employees can focus on improving systems instead of producing reports. By developing engineering KPI's and predictive analytics, technical authority could shift from reactive maintenance to pro-active maintenance. Using linear regression machine learning, early warning digital solution was developed to monitor and notify technical authority to clean strainers. The production team achieved 0.75 full time equivalent (FTE) in time savings by automating reports. By visualizing operations data such as flaring, production profiles; the team minimized flaring leading to 1% OPEX cost saving. Around 10% of chemical budget was saved by monitoring chemical injections at all platforms. Similar cost savings were achieved by visualizing data for other disciplines such as maintenance and HSE teams. By being better informed about wells annuli pressure build-up via email notifications, wells integrity team reduced the associated risk. By forming a multi-disciplinary agile team with business and delivery team, digital team deployed 20+ digital products over a short time frame of 2 years.
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Ciesielski, M., S. Askar, D. Gomez-Prado, J. Guillot, and E. Boutillon. "Data-Flow Transformations using Taylor Expansion Diagrams." In Design, Automation & Test in Europe Conference. IEEE, 2007. http://dx.doi.org/10.1109/date.2007.364634.

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Reports on the topic "Automation of analytical transformations"

1

Royer, Patrick D., Mark B. Triplett, Brett C. Simpson, and Kerrie S. Rohlfing. A Design Document: Custom Analytical Tools and Automation for the Industrial Hygienist. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1630731.

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Royer, Patrick D., Mark B. Triplett, Brett C. Simpson, and Kerrie S. Rohlfing. A Design Document: Custom Analytical Tools and Automation for the Industrial Hygienist. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1582451.

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Lundgren, Anna, Alex Cuadrado, Mari Wøien Meijer, et al. Skills Policies - Building Capacities for Innovative and Resilient Nordic Regions. Nordregio, 2020. http://dx.doi.org/10.6027/r2020:17.1403-2503.

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Long-term trends in Nordic societies (such as ageing populations), along with rapid social transformations (like those brought about by automation and digitalisation), have resulted in increased attention being paid to skills and skills enhancement – not least from policymakers looking to cope with those challenges. However, skills are complex and many actors are involved in their promotion and provision. In this study, we focus on the regional level, which is the point of scale at which the demand for, and supply of, various skills is often articulated. In order to respond to the research question concerning How regions work with skills, six case studies were conducted in 2019 and 2020. That meant one case study in each of the Nordic countries. Those selected were Pohjois-Karjala (North Karelia, Finland), Värmland (Sweden), Hovedstaden (Denmark), Hedmark and Oppland (Norway), Norðurland eystra (Northeastern Region, Iceland), and one in Greenland. This report on skills for resilient and innovative regions is part of a series of reports conducted on behalf of the Nordic Thematic Group for Innovative and Resilient Regions 2017–2020, within the Nordics Cooperation Program for Regional Development and Planning, and under the aegis of the Nordics Council of Ministers.
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