Готові списки джерел за темами / EPBS machine

Добірка наукової літератури з теми "EPBS machine"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "EPBS machine"

1

Wan, Chaodong, and Zhiyi Jin. "Adaptability of the Cutter-Head of the Earth Pressure Balance (EPB) Shield Machine in Water-Rich Sandy and Cobble Strata: A Case Study." Advances in Civil Engineering 2020 (November 10, 2020): 1–12. http://dx.doi.org/10.1155/2020/8847982.

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Earth Pressure Balance (EPB) shield machines are considered to be the most efficient tunneling method for Metro tunnels due to their adaptability to a great variety of ground conditions, higher construction efficiency, and providing a safer working environment. There are many guidelines available for EPB shield machine selection. However, these guidelines are very general and cannot be used directly for an upcoming project. This paper takes Chengdu Metro Line 6 in China as the engineering background; the studied area is typical of a water-rich sandy and cobble stratum with high content of cobble. Three types of EPBs in the two continuous intervals exhibit significant differences in performance and encounter many difficulties such as wear of the cutter disc and tools, clogging, and severe surface settlement during the operation. These difficulties prevent the construction efficiency, increase the cost of the project, and cause delays in construction period. The causes of these difficulties are summarized by recording and comparing the operational parameters of the three types of EPBs. These parameters that are summarized include the advance rate, total thrust, torque, and the rate of rotation of the cutter-head. In addition, the surface settlements are also compared. The results indicate that the opening rate, maximum opening size, and the opening position of the cutter-head are key factors that affected the geological adaptability of the shield machine in water-rich sandy and cobble strata. Among the three factors, the maximum opening size and opening position are the most important factors influencing the strata adaptability of the cutter-head. To avoid frequent jams of the cutter-head, the maximum torque should be not less than 6,500 kNm. The maximum opening size should not be less than 420 mm × 420 mm. The effect of increasing the central opening of the cutter-head is that large cobbles and boulders can be discharged through the central opening when they cannot be discharged through the opening near the original position of the cobbles and boulders. This paper provides specific guidance on the selection of cutter-head for shield machines in water-rich sandy and cobble strata.
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2

Koohsari, Ali, Roohollah Kalatehjari, Sayfoddin Moosazadeh, Mohsen Hajihassani, and Bao Van. "A Critical Investigation on the Reliability, Availability, and Maintainability of EPB Machines: A Case Study." Applied Sciences 12, no. 21 (November 6, 2022): 11245. http://dx.doi.org/10.3390/app122111245.

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Tunnelling is a vital geotechnical engineering feature of underground transportation systems that is potentially hazardous if not properly investigated, studied, planned, and executed. A reliability, availability, and maintainability (RAM) analysis is one of the main practical techniques in machinery-based projects to recognize the failure and repair rates of machines during or after their operations. RAM analysis of mechanized tunneling can help to manage the project safety and cost, and improve the availability and performance of the machine. There are several methods to obtain and predict the RAM of a system, including the Markov chain simulation and other statistical methods; however, the result of the analysis can be affected by the selected method. This paper presents the results of a critical investigation on the RAM of the Earth pressure balance machines (EPBMs) used in developing an urban metro project in Isfahan, Iran. The five kilometer length of the first line of the Isfahan metro project was excavated using EPBMs over four years. After overhauling the EPBMs and making some minor changes, excavation of the second line started, and to date, about 1.2 km has been excavated by the refurbished machines. In the present study, a RAM analysis has been applied to electrical, mechanical, and cutter head subsystems of the EPBMs in Lines 1 and 2 of the Isfahan metro project over an 18- and 7-month period of machine operation, respectively. The results show that the estimated availability, A(t), determined by the Markov method, is closer to reality but cannot be propagated to reliability R(t) and maintainability M(t) analysis. It was also revealed that by predicting the required maintenance and proper planning, the overall availability of the EPBM was improved from 45% in Line 1 to 61% in Line 2. The outcomes of this study can be used in the future planning of urban tunneling projects to estimate machine, staff, and logistic performance with the least possible error, and appropriately arrange the factors involved in the system.
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3

Wan, M. S. P., J. R. Standing, D. M. Potts, and J. B. Burland. "Measured short-term subsurface ground displacements from EPBM tunnelling in London Clay." Géotechnique 67, no. 9 (September 2017): 748–79. http://dx.doi.org/10.1680/jgeot.sip17.p.148.

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Subsurface ground displacements from the construction of the twin-bore Crossrail tunnels in London Clay by earth pressure balance machines (EPBMs) are presented and discussed, complementing a companion paper by the authors that focused on the surface response. Both papers report vertical and horizontal displacements, in this case measured using comprehensive arrays of instruments installed within boreholes in Hyde Park, London. The Crossrail tunnels are deeper than those cited in most UK case histories concerning tunnelling in stiff clay. Clear insights were gained into subsurface displacement mechanisms: an ‘inward’ displacement field was observed around the Crossrail tunnel construction, in contrast to the ‘outward’ displacement field that developed around the shallower Channel Tunnel Rail Link tunnels constructed east of London using similar EPBMs in London Clay. This has important implications when estimating subsurface displacements using currently available empirical methods. Appraisal of the EPBM operational variables suggests that the relative magnitude of face and tail grout pressures to overburden stress is the key factor contributing to the opposing senses of the observed displacement fields. Earlier tunnelling-induced strain softening of the London Clay is evident from greater subsurface incremental volume losses and settlement trough width parameters relating to subsequent tunnel construction.
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4

Zhou, Jianguo, Renyang Liu, Zifeng Wu, Jintao Zhang, and Junhui Liu. "Exploiting epigenomic and sequence-based features for predicting enhancer-promoter interactions." E3S Web of Conferences 218 (2020): 03046. http://dx.doi.org/10.1051/e3sconf/202021803046.

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How to discriminate distal regulatory elements to a gene target is challenging in understanding gene regulation and illustrating causes of complex diseases. Among known distal regulatory elements, enhancers interact with a target gene’s promoter to regulate its expression. Although the emergence of many machine learning approaches has been able to predict enhancer-promoter interactions (EPIs), global and precise prediction of EPIs at the genomic level still requires further exploration.In this paper, we develop an integrated EPIs prediction method, called EpPredictor with improved performance. By using various features of histone modifications, transcription factor binding sites, and DNA sequences among the human genome, a robust supervised machine learning algorithm, named LightGBM, is introduced to predict enhancer-promoter interactions (EPIs). Among six different cell lines, our method effectively predicts the enhancer-promoter interactions (EPIs) and achieves better performance in F1-score and AUC compared to other methods, such as TargetFinder and PEP.
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5

Wei, Yingjie, Duli Wang, Jianguang Li, and Yuxin Jie. "Effects of Soil Conditioning on Characteristics of a Clay-Sand-Gravel Mixed Soil Based on Laboratory Test." Applied Sciences 10, no. 9 (May 9, 2020): 3300. http://dx.doi.org/10.3390/app10093300.

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Soil conditioning is of great significance for tunneling in soft ground with earth pressure balance shield (EPBS) machines, which leads to safe, highly efficient, and high-quality tunneling. To study the effects of soil conditioning on properties of a clay-sand-gravel mixed soil encountered in an EPBS tunneling project in Beijing, a series of geotechnical test methods was carried out based on laboratory test in this paper. The decay behaviors of foam particles generated by the Waring-Blender method were studied first using the image particle analysis system, and then the feasibility of soil conditioning on the mixed soil was qualitatively and quantitatively assessed through the mixing test, slump test, and friction coefficient test. The preliminary test results indicate that drainage of water in liquid film plays an important role in the decay of foam microstructure. The viscosity and flowability of the conditioned soil were modified dramatically by using various amount of water and foam, and a suitable state meeting the requirement of EPBS machines was obtained. The net power and mixing time, which reflects the interaction between the blending rods and tested soils, as well as the slump value, providing the overall indication for liquidity of the conditioned soils, and friction coefficient, reflecting the friction between steel and tested soils, were used to provide insight into the variation in viscosity and flowability of the tested soils.
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6

Mariño, José B., Rafael E. Banchs, Josep M. Crego, Adrià de Gispert, Patrik Lambert, José A. R. Fonollosa, and Marta R. Costa-jussà. "N-gram-based Machine Translation." Computational Linguistics 32, no. 4 (December 2006): 527–49. http://dx.doi.org/10.1162/coli.2006.32.4.527.

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This article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear combination of a translation model based on n-grams of bilingual units, which are referred to as tuples, along with four specific feature functions. Translation performance, which happens to be in the state of the art, is demonstrated with Spanish-to-English and English-to-Spanish translations of the European Parliament Plenary Sessions (EPPS).
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7

Jung. "Correlation between the EPB shield TBM machine data and the ground condition." Journal of Korean Tunnelling and Underground Space Association 16, no. 6 (2014): 543. http://dx.doi.org/10.9711/ktaj.2014.16.6.543.

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8

Zhang, Qian, Kaihong Yang, Lihui Wang, and Siyang Zhou. "Geological Type Recognition by Machine Learning on In-Situ Data of EPB Tunnel Boring Machines." Mathematical Problems in Engineering 2020 (April 27, 2020): 1–10. http://dx.doi.org/10.1155/2020/3057893.

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At present, many large-scale engineering equipment can obtain massive in-situ data at runtime. In-depth data mining is conducive to the real-time understanding of equipment operation status or recognition of service environment. This paper proposes a geological type recognition system by the analysis of in-situ data recorded during TBM tunneling to address geological information acquisition during TBM construction. Owing to high dimensionality and nonlinear coupling between parameters of TBM in-situ data, the dimensionality reduction feature engineering and machine learning methods are introduced into TBM in-situ data analysis. The chi-square test is used to screen for sensitive features due to the disobedience to common distributions of TBM parameters. Considering complex relationships, ANN, SVM, KNN, and CART algorithms are used to construct a geology recognition classifier. A case study of a subway tunnel project constructed using an earth pressure balance tunnel boring machine (EPB-TBM) in China is used to verify the effectiveness of the proposed geological recognition method. The result shows that the recognition accuracy gradually increases to a stable level with the increase of input features, and the accuracy of all algorithms is higher than 97%. Seven features are considered as the best selection strategy among SVM, KNN, and ANN, while feature selection is an inherent part of the CART method which shows a good recognition performance. This work provides an intelligent path for obtaining geological information for underground excavation TBM projects and a possibility for solving the problem of engineering recognition of more complex geological conditions.
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9

Ceballos, Gerardo A., Luis F. Hernandez, Daniel Paredes, Luis R. Betancourt, and Midhat H. Abdulreda. "A machine learning approach to predict pancreatic islet grafts rejection versus tolerance." PLOS ONE 15, no. 11 (November 5, 2020): e0241925. http://dx.doi.org/10.1371/journal.pone.0241925.

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The application of artificial intelligence (AI) and machine learning (ML) in biomedical research promises to unlock new information from the vast amounts of data being generated through the delivery of healthcare and the expanding high-throughput research applications. Such information can aid medical diagnoses and reveal various unique patterns of biochemical and immune features that can serve as early disease biomarkers. In this report, we demonstrate the feasibility of using an AI/ML approach in a relatively small dataset to discriminate among three categories of samples obtained from mice that either rejected or tolerated their pancreatic islet allografts following transplant in the anterior chamber of the eye, and from naïve controls. We created a locked software based on a support vector machine (SVM) technique for pattern recognition in electropherograms (EPGs) generated by micellar electrokinetic chromatography and laser induced fluorescence detection (MEKC-LIFD). Predictions were made based only on the aligned EPGs obtained in microliter-size aqueous humor samples representative of the immediate local microenvironment of the islet allografts. The analysis identified discriminative peaks in the EPGs of the three sample categories. Our classifier software was tested with targeted and untargeted peaks. Working with the patterns of untargeted peaks (i.e., based on the whole pattern of EPGs), it was able to achieve a 21 out of 22 positive classification score with a corresponding 95.45% prediction accuracy among the three sample categories, and 100% accuracy between the rejecting and tolerant recipients. These findings demonstrate the feasibility of AI/ML approaches to classify small numbers of samples and they warrant further studies to identify the analytes/biochemicals corresponding to discriminative features as potential biomarkers of islet allograft immune rejection and tolerance.
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10

Morón, Carlos, Enrique Tremps, Puerto Ramirez, Alfonso Garcia, and Jose Andrés Somolinos. "Performance Optimization in Switched Reluctance Motor Drives." Key Engineering Materials 495 (November 2011): 67–70. http://dx.doi.org/10.4028/www.scientific.net/kem.495.67.

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In this paper, switched reluctance motors (SRM) are proposed as an alternative for electric power assisted steering (EPAS) applications. A prototype machine has been developed as very attractive design for a steering electric motor, both from a cost and size perspective. A four-phase 8/6 SRM drive is designed for a rack type EPAS which should provide a maximum force of 10 kN. Two-dimension finite element analysis is used to validate the design.
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Більше джерел

Дисертації з теми "EPBS machine"

1

Cavanagh, Thomas. "THE KIOSK CULTURE: RECONCILING THE PERFORMANCE SUPPORT PARADOX IN THE POSTMODERN AGE OF MACHINES." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3793.

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Анотація:
Do you remember the first time you used an Automatic Teller Machine (ATM)? Or a pay-at-the-pump gas station? Or an airline e-ticket kiosk? How did you know what to do? Although you never received any formal instruction in how to interact with the self-service technology, you were likely able to accomplish your task (e.g., withdrawing or depositing money) as successfully as an experienced user. However, not so long ago, to accomplish that same task, you needed the direct mediation of a service professional who had been trained how to use the required complex technology. What has changed? In short, the technology is now able to compensate for the average consumer's lack of experience with the transactional system. The technology itself bridges the performance gap, allowing a novice to accomplish the same task as an experienced professional. This shift to a self-service paradigm is completely changing the dynamics of the consumer relationship with the capitalist enterprise, resulting in what is rapidly becoming the default consumer interface of the postmodern era. The recognition that the entire performance support apparatus now revolves around the end user/consumer rather than the employee represents a tectonic shift in the workforce training industry. What emerges is a homogenized consumer culture enabled by self-service technologies--a kiosk culture. No longer is the ability to interact with complex technology confined to a privileged workforce minority who has access to expensive and time-consuming training. The growth of the kiosk culture is being driven equally by business financial pressures, consumer demand for more efficient transactions, and the improved sophistication of compensatory technology that allows a novice to perform a task with the same competence as an expert. "The Kiosk Culture" examines all aspects of self-service technology and its ascendancy. Beyond the milieu of business, the kiosk culture is also infiltrating all corners of society, including medicine, athletics, and the arts, forcing us to re-examine our definitions of knowledge, skills, performance, and even humanity. The current ubiquity of self-service technology has already impacted our society and will continue to do so as we ride the rising tide of the kiosk culture.
Ph.D.
Department of English
Arts and Humanities
Texts and Technology PhD;
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2

Dang, Thai Son [Verfasser], Günther [Gutachter] Meschke, and Markus [Gutachter] Thewes. "Computational methods and numerical analyses of material transport in EPB shield machines / Thai Son Dang ; Gutachter: Günther Meschke, Markus Thewes ; Fakultät für Bau- und Umweltingenieurwissenschaften." Bochum : Ruhr-Universität Bochum, 2018. http://d-nb.info/1169397344/34.

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3

Castañeda, Jimenez German Efrain 1988. "Simulação do controle de escoamento multifásico em uma bomba centrífuga submersa - BCS : Simulation control of multiphase flow an electrical submersible pump - EPS." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265922.

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Анотація:
Orientador: Janito Vaqueiro Ferreira
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
Made available in DSpace on 2018-08-24T20:57:24Z (GMT). No. of bitstreams: 1 CastanedaJimenez_GermanEfrain_M.pdf: 6173136 bytes, checksum: 10447f1e90575f51111560bad8f24df0 (MD5) Previous issue date: 2014
Resumo: Na indústria do petróleo é comum à utilização de bombas centrífugas submersas (BCS) operando em escoamento multifásico líquido-gás. A presença de elevadas vazões de gás causam uma degradação severa no desempenho da bomba, gerando instabilidades nas curvas de pressão-vazão, como o `surging¿ e o `gas locking¿. Portanto o conhecimento destas instabilidades é fundamental para a adequada operação da bomba e assim evitar falhas prematuras no equipamento. Na atualidade não existem modelos matemáticos que representem de forma adequada o comportamento da BCS na região de `surging¿ e no `gas locking¿, gerando a necessidade de empregar circuitos de testes para fazer o levantamento das curvas de desempenho das bombas. A maioria dos circuitos de testes é operada de forma manual para obter às condições de operação da bomba, tornando os ensaios repetitivos, cansativos e trabalhosos. Por isto nasce a necessidade de automatizar estas bancadas com a finalidade de facilitar o processo do levantamento das curvas de desempenho das bombas. Este trabalho apresenta o projeto e simulação de um controle robusto tipo H_? que permita manter o escoamento multifásico na entrada de uma BCS em diferentes condições de operação da bomba. Este controlador é projetado a partir de um circuito de testes para BCS virtual que é modelado empregando formulações físicas e modelos ajustados mediante dados experimentais usando algoritmos de aprendizagem de máquinas baseados em máquinas de suporte vetorial para regressão (SVMr). Após o projeto de controle, o controlador projetado é testado no circuito de testes virtual mediante simulações em tempo real `software in the loop¿ (SIL)
Abstract: In the oil industry, it is common to use electrical submersible pumps (ESP) operating with gas -liquid multiphase flow. The presence of high gas flows cause severe degradation in performance of the pump, generating instabilities in the flow-pressure curves, as "surging" and "gas locking". Therefore knowledge of these instabilities is essential for the proper functioning of the pump and thereby prevents premature failure of the equipment. Currently there are no mathematical models that adequately represent the behavior of the EPS in the region of "surging" and "gas locking", creating the need to use test circuits to make a study of the performance curves of the pumps. Most test circuits are operated manually to reach the operating conditions of the pump, making repetitive, tedious and laborious trials. Therefore there is a need to automate these circuits in order to facilitate the process of obtaining the performance curve of the pump. In this paper the project and simulation of a robust control type H_? for keeping the multiphase flow in the entrance of a EPS operating at different conditions is performed. This controller is designed based on a test circuit virtual for EPS which is modeled using physical formulations and adjusted models obtained by experimental data using machine learning algorithms based on support vector machines for regression (SVMR). After the controller design, the control is tested in the virtual test circuits using simulations in real time "software in the loop" (SIL)
Mestrado
Mecanica dos Sólidos e Projeto Mecanico
Mestre em Engenharia Mecânica
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4

Demus, Nevillle Mc Artjir, and Nevillle Mc Artjir Demus. "The Prediction and 3D Numerical Analysis of Jacking Force for Microtunneling EPB Machine." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/jmay6j.

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碩士
國立臺北科技大學
土木工程系土木與防災碩士班
106
Due to the commencement of the green building material in 2004 in Taiwan, there has been good coordination with the “National Primary Plan for Energy Conservation and Carbon Reduction” carried out by the Executive Yuan in April 2010 which has ambition to bring Taiwan to a low-carbon society in a systematical way and achieve the goal for carbon reduction. Therefore, with such an attempt, the control and specification of building materials and method of construction has to take into consideration the impact on the environment. Moreover, the deteriorating conditions and under-capacity of aging underground infrastructure including water and wastewater distribution and collection systems, gas, petroleum and chemical pipelines, electrical and communication network and other utility corridors have resulted in trenchless technology as the method to fix the problem without disturbing the natural environment. In the past, interest in use of trenchless technology and the modification of formulas to predict the total jacking force has increased in the last decade and a number of studies that dealt with the frictional forces and predictive formulas have been successfully completed. In view of the fact that the theory of geotechnical engineering has matured, there has been an implementation of computer aided software and rapid upgrades of 3D plaxis models. The application of numerical analysis methods and use of 3D plaxis in tunnel design have gradually played an important role in geotechnical engineering. In this study, five (5) predictive models from previous scholars were stated in detailed and two of them were compared with a new modified model to ascertain the most suitable one for the given site. In addition, a numerical analysis was carried out using the PLAXIS Finite Element 3D Program by setting the relevant control parameters. This helps us better understand the jacking forces as it relates to displacement, stress, and strain on the soil as well as possible environmental impacts on the surrounding area
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Книги з теми "EPBS machine"

1

O. Görgülü and A. Akilli. Egg production curve fitting using least square support vector machines and nonlinear regression analysis. Verlag Eugen Ulmer, 2018. http://dx.doi.org/10.1399/eps.2018.235.

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Частини книг з теми "EPBS machine"

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Zhu, Weibin, Shijian Ju, and Hui Wang. "Configuration of EPB Shield Machine." In Shield Tunneling Technology in Mixed Face Ground Conditions, 215–29. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4112-2_6.

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2

Salah, Alia, Omar Abu Mohareb, and Hans-Christian Reuss. "Cloud-Based Predictive Diagnosis Using Machine Learning for Automotive EPGS." In Proceedings, 399–413. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37009-1_28.

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3

Abbasi, Mehdi, and Mohsen Abbasi. "Determine of Tunnel Face Stability Pressure in EPB Machine with Use Analytical Methods (Case Study: Mashhad Metro Line2)." In Engineering Geology for Society and Territory - Volume 6, 313–16. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09060-3_53.

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4

Shin, Young-Jin, Dae-Young Kim, Do-Gyoon Kim, and Nguyen Cao Minh. "TBM (Tunnel Boring Machine) tunneling in urban areas by EPB (Earth Pressure Balance): design consideration of Hanoi pilot light metro line." In Lecture Notes in Civil Engineering, 229–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-2184-3_28.

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5

Feng, Qiu, and Lars Langmaack. "Soil conditioning for EPB machines." In Underground Space Use. Analysis of the Past and Lessons for the Future. Taylor & Francis, 2005. http://dx.doi.org/10.1201/noe0415374521.ch109.

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6

Keussen, Christoph. "Transitional measures." In Unified Patent Protection in Europe: A Commentary. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198755463.003.0033.

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To strengthen and secure the information function of EPs and EPUEs, the EPO, already during the disclosure of a European patent application, prepares machine translations in numerous official languages of the Union, and furthermore in official languages of other EPC MSs (eg Norwegian, Turkish) as well as in official languages of countries outside Europe that are active in the area of patents (eg Japanese, Chinese, Korean).
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Talmon, A., and A. Bezuijen. "Muck discharge by the screw conveyor of an EPB Tunnel Boring Machine." In Tunnelling. A Decade of Progress. GeoDelft 1995-2005, 165–70. Taylor & Francis, 2006. http://dx.doi.org/10.1201/9781439834268.ch24.

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Vassoler Serrato, Rodrigo. "Bacterial Alginate Biosynthesis and Metabolism." In Alginate - Applications and Future Perspectives [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.109295.

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Alginate is a linear anionic heteropolysaccharide with a chemical structure consisting of 1,4-linked subunits of β-D-mannuronic acid (M) and its C-5 epimer α-L-guluronic acid (G). It is well known that the monomer composition and molecular weight of alginates affect their properties and influence their use in the food and pharmaceutical industries. Alginate is usually extracted from seaweed for commercial purposes, but can also be produced by bacteria as exopolysaccharide (EPS). Pseudomonas spp. and Azotobacter vinelandii are well-known alginate-producing microorganisms. Their biochemical machinery for alginate biosynthesis is influenced by changing culture conditions and manipulating genes/proteins, making it relatively easy to obtain customized EPS with different molecular weights, M/G compositions, and thus physicochemical properties. Although these two genera have very similar biosynthetic pathways and molecular mechanisms for alginate production, with most of the genes involved being virtually identical, their regulation has been shown to be somewhat different. In this chapter, we present the main steps of alginate biosynthesis in bacteria, including precursor synthesis, polymerization, periplasmic modifications, transport/secretion, and post-secretion modification.
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Vequist IV, David G., and Mark S. Teachout. "‘Stream of Training' Approach in Project Management Training." In Encyclopedia of Information Communication Technology, 721–27. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-845-1.ch095.

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Анотація:
This article describes a training innovation that combines research on advances in information communication technologies (ICTs) and leading-edge training techniques. It also extends an evolution of traditional organizational change management (OCM) approaches and integrates technology more fully than current traditional change management practices. This new approach to training is based on concepts that have been utilized in artificial intelligence (AI) and machine learning. This approach merges traditional project communication and project training together to form a continuous ‘stream of training’ throughout the life cycle of the project. This technique is an advanced combination of both training and communication. Rather than utilizing a traditional linear training model, in this technique, training becomes a stream of learning incorporating pretraining communication (screen prints of new applications), ‘push’ training that can be electronically distributed through really simple syndication (RSS, also referred to as resource description framework, site summary, or rich site summary) to key stakeholders just-in-time (JIT) and electronic performance support systems (EPSS) that reinforce new process/technology changes. Some of the potential advantages of this approach are that it is less costly than providing separate communication and training functions and that utilizing an integrated or streaming approach to communication and training may lead to less conflict and confusion among key stakeholders about the current status of the project team. A discussion of the background and the benefits achieved by this approach are described in the following sections.
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10

Vequist IV, David G., and Mark S. Teachout. "‘Stream of Training’ Approach in Project Management Training." In Information Resources Management, 742–50. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-965-1.ch315.

Повний текст джерела
Анотація:
This article describes a training innovation that combines research on advances in information communication technologies (ICTs) and leading-edge training techniques. It also extends an evolution of traditional organizational change management (OCM) approaches and integrates technology more fully than current traditional change management practices. This new approach to training is based on concepts that have been utilized in artificial intelligence (AI) and machine learning. This approach merges traditional project communication and project training together to form a continuous ‘stream of training’ throughout the life cycle of the project. This technique is an advanced combination of both training and communication. Rather than utilizing a traditional linear training model, in this technique, training becomes a stream of learning incorporating pretraining communication (screen prints of new applications), ‘push’ training that can be electronically distributed through really simple syndication (RSS, also referred to as resource description framework, site summary, or rich site summary) to key stakeholders just-in-time (JIT) and electronic performance support systems (EPSS) that reinforce new process/technology changes. Some of the potential advantages of this approach are that it is less costly than providing separate communication and training functions and that utilizing an integrated or streaming approach to communication and training may lead to less conflict and confusion among key stakeholders about the current status of the project team. A discussion of the background and the benefits achieved by this approach are described in the following sections.
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Тези доповідей конференцій з теми "EPBS machine"

1

Xiaodong Xu and Weijie Mao. "Nonlinear adaptive control of EPB shield tunneling machine." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963209.

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2

Wei, Liang-Ying. "A fusion ANFIS model for forecasting EPS of leading industries in Taiwan." In 2011 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2011. http://dx.doi.org/10.1109/icmlc.2011.6016700.

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Matyas, Arthur, Gerard Aroquiadassou, Claudia Martis, Augustin Mpanda-Mabwe, and Karoly Biro. "Design of six-phase synchronous and induction machines for EPS." In 2010 XIX International Conference on Electrical Machines (ICEM). IEEE, 2010. http://dx.doi.org/10.1109/icelmach.2010.5608020.

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Zhao, Xuezhen. "Introduction to EPS and XPS Two Exterior Insulation Used." In Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ammee-17.2017.14.

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5

Li Xinhua, Wu Jie, Zhang Zhiwei, and Zhuang Baixing. "Development of EPS rare-earth permanent-magnet brushless direct current motor." In Proceedings of the Eighth International Conference on Electrical Machines and Systems. IEEE, 2005. http://dx.doi.org/10.1109/icems.2005.202980.

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Fidarova, Karina Kazbekovna. "Modern Means Of Machine Translation." In International Scientific Congress «Knowledge, Man and Civilization». European Publisher, 2022. http://dx.doi.org/10.15405/epsbs.2022.12.108.

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Wu Jie and Wang Yun-Yan. "A new technique for reducing cogging torque in EPS permanent magnet brushless DC motor." In 2007 International Conference on Electrical Machines and Systems. IEEE, 2007. http://dx.doi.org/10.1109/icems12746.2007.4412191.

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Kim, Yong-Beom, Hae-Joong Kim, Kyung-Tae Jung, and Jung-Pyo Hong. "Influence of manufacturing tolerances on cogging torque of IPMSM for EPS application." In 2014 17th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2014. http://dx.doi.org/10.1109/icems.2014.7013500.

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Krichevsky, M. L. "Personnel Audit By Machine Learning Methods." In II International Conference on Economic and Social Trends for Sustainability of Modern Society. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.09.02.306.

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Salah, Alia, Omar Abu Mohareb, and Hans-Christian Reuss. "Model-Based Fault Detection Using Parameter Estimation in Automotive EPGS Systems." In 2021 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2021 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2021. http://dx.doi.org/10.1109/optim-acemp50812.2021.9590069.

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