Digital Technologies and Standardization for Next Generation of FPSO Hulls

2020 ◽  
Author(s):  
Bernardo Torres de Mattos ◽  
Eduardo de Souza Lima Figueiredo ◽  
Jackson Luan Queiroz
Keyword(s):  
Critical Path ◽  
Digital Technologies ◽  
Actual Process ◽  
Basic Design ◽  
The Core ◽  
Design Time ◽  
Innovative Solutions ◽  
Process Plants ◽  
High Level ◽  
Virtual Reality Model

Abstract New fields development deadlines are growing short every day and FPSO projects shall be adapted to sustain these new patterns, even though actual process plants are becoming larger and more complex. FPSO projects critical path is the hull construction and changes are being made to shorten the duration of this process. For this to be feasible, hull project must be standardized to fit various topside configurations and any changes made must be absorbed as quickly as possible. This requires the use of innovative solutions and digital technologies to reduce design time. The core of these solutions is the modelling of the hull digital twin during the basic design phase with a high level of structural definitions that only happen during detailed engineering phase. This paper presents some initiatives that results in a more consistent design and on a desktop-based virtual reality model that can be used to accelerate fabrication during construction and assembly phases. Furthermore, the way of doing hull basic design is being changed.

Consent

2018 ◽  
Author(s):  
Martin Krzywdzinski
Keyword(s):  
Production Systems ◽  
Employee Behavior ◽  
Labor Disputes ◽  
Performance Expectations ◽  
The Third ◽  
The Core ◽  
Core Requirements ◽  
High Level

This chapter deals with the dependent variable of the study: consent. It analyses workplace consent in Russia and China using three indicators that refer to the core requirements of the production systems in automotive companies regarding employee behavior: first, standardized work; and second, compliance with expectations in terms of flexibility, cooperation, and a commitment to improving processes. The third indicator of consent (or the lack of it) is the absence or presence of open criticism, resistance, and labor disputes. The chapter reveals significant and unexpected differences between the Chinese and Russian sites on all three indicators. While the Chinese factories exhibit (with some variance between the companies), a relatively high level of consent, the Russian plants have problems with standardized work, the acceptance of performance expectations, and to some extent with labor disputes.

Student Privacy and the Law in the Internet Age

2019 ◽  
Author(s):  
Leah Plunkett ◽  
Urs Gasser ◽  
Sandra Cortesi
Keyword(s):  
Learning Environments ◽  
School Environment ◽  
Privacy Protection ◽  
Data Privacy ◽  
Digital Technologies ◽  
The United States ◽  
Legal Framework ◽  
Privacy Law ◽  
Student Privacy ◽  
High Level

New types of digital technologies and new ways of using them are heavily impacting young people’s learning environments and creating intense pressure points on the “pre-digital” framework of student privacy. This chapter offers a high-level mapping of the federal legal landscape in the United States created by the “big three” federal privacy statutes—the Family Educational Rights and Privacy Act (FERPA), the Children’s Online Privacy Protection Act (COPPA), and the Protection of Pupil Rights Amendment (PPRA)—in the context of student privacy and the ongoing digital transformation of formal learning environments (“schools”). Fissures are emerging around key student privacy issues such as: what are the key data privacy risk factors as digital technologies are adopted in learning environments; which decision makers are best positioned to determine whether, when, why, and with whom students’ data should be shared outside the school environment; what types of data may be unregulated by privacy law and what additional safeguards might be required; and what role privacy law and ethics serve as we seek to bolster related values, such as equity, agency, and autonomy, to support youth and their pathways. These and similar intersections at which the current federal legal framework is ambiguous or inadequate pose challenges for key stakeholders. This chapter proposes that a “blended” governance approach, which draws from technology-based, market-based, and human-centered privacy protection and empowerment mechanisms and seeks to bolster legal safeguards that need to be strengthen in parallel, offers an essential toolkit to find creative, nimble, and effective multistakeholder solutions.

TRU Recycling Options for Environmentally Friendly and Proliferation-Resistant Nuclear Fuel Cycle of FBR

2010 ◽  
Author(s):  
Sidik Permana ◽  
Mitsutoshi Suzuki
Keyword(s):  
High Performance ◽  
Fuel Cycle ◽  
Operation Time ◽  
Nuclear Nonproliferation ◽  
High Level Waste ◽  
Minor Actinide ◽  
Spent Fuel ◽  
Closed Fuel Cycle ◽  
The Core ◽  
High Level

The embodied challenges for introducing closed fuel cycle are utilizing advanced fuel reprocessing and fabrication facilities as well as nuclear nonproliferation aspect. Optimization target of advanced reactor design should be maintained properly to obtain high performance of safety, fuel breeding and reducing some long-lived and high level radioactivity of spent fuel by closed fuel cycle options. In this paper, the contribution of loading trans-uranium to the core performance, fuel production, and reduction of minor actinide in high level waste (HLW) have been investigated during reactor operation of large fast breeder reactor (FBR). Excess reactivity can be reduced by loading some minor actinide in the core which affect to the increase of fuel breeding capability, however, some small reduction values of breeding capability are obtained when minor actinides are loaded in the blanket regions. As a total composition, MA compositions are reduced by increasing operation time. Relatively smaller reduction value was obtained at end of operation by blanket regions (9%) than core regions (15%). In addition, adopting closed cycle of MA obtains better intrinsic aspect of nuclear nonproliferation based on the increase of even mass plutonium in the isotopic plutonium composition.

scholarly journals Digital technologies for optimization of moisture parameters of calculated soil’s layer

2021 ◽  
pp. 86-89
Author(s):  
Dmitry Aleksandrovich Solovyev ◽  
Viktor Vladislavovich Korsak ◽  
Galina Nikolaevna Kamyshova ◽  
Olga Nikolaevna Mityureva ◽  
Pavel Olegovich Terekhov
Keyword(s):  
Programming Languages ◽  
Control Systems ◽  
Digital Technology ◽  
Soil Layer ◽  
Digital Technologies ◽  
Irrigated Crops ◽  
Irrigation Control ◽  
Irrigation Technologies ◽  
High Level ◽  
Precision Irrigation

The article presents the results of the development of a digital technology for optimizing the parameters of moisture in the calculated soil layer. The introduction of precision irrigation technologies requires the development of new approaches to the development of decision support systems for their technical implementation in modern high-level programming languages. The developed computer program for determining the optimal moisture parameters of the calculated soil layer for the main irrigated crops of the Saratov region is easy to use and easily integrated into digital automated irrigation control systems.

scholarly journals Basic Power Inductor Design

2021 ◽  
Author(s):  
Charles R. Sullivan
Keyword(s):  
Design Process ◽  
High Frequency ◽  
Basic Design ◽  
The Core ◽  
Basic Procedure ◽  
Winding Loss ◽  
Saturation Constraint ◽  
Basic Power ◽  
Power Inductor

<p>A basic procedure for designing a power inductor is presented. Many papers and textbook chapters offer more sophisticated methods, but it is harder to find a clear outline of a basic design process. Studying and practicing a basic design process is useful for beginners to understand the fundamental tradeoffs in design and to build intuition. For more advanced work, the basic design process is useful as it avoids relying on assumptions that might not be valid with, for example, high-frequency loss effects that are ignored in the development of some more sophisticated methods, or that constrain other methods to narrow, specific cases.</p> <p>Two options are outlined: starting with a saturation constraint, and then checking the core/winding loss balance; or, starting by optimizing the core/winding loss balance, and then checking the saturation constraint.</p>

scholarly journals Population, and its social and religious composition in Ivanovo and Yaroslavl regions on the eve of the Axis aggression against the USSR (according to the censuses of the USSR in 1937 and 1939)

2021 ◽  
Vol 27 (1) ◽  
pp. 74-78
Author(s):  
Natalya S. Maiorova
Keyword(s):  
World War Ii ◽  
Rural Areas ◽  
Urban Population ◽  
Daily Life ◽  
World War ◽  
Religious Policy ◽  
The Core ◽  
Long Time ◽  
High Level ◽  
Anxiety And Fear

The article is devoted to the analysis of the results of population censuses conducted in the USSR in 1937 and 1939, in relation to Ivanovo and Yaroslavl regions. The research is based on census materials that had been classified for a long time and published only in the 1990s. Of all the various aspects of the censuses, the author's attention was focused on only three – population, its social structure, and religious composition. Based on the results of the censuses, conclusions are drawn about the prevalence of women in the region, both in rural areas and in cities. It was women who, in the conditions of World War II, became the strong rear, on whose shoulders the front was supported by food, uniforms, and weapons. The urban population was greater in Ivanovo Region, which was explained by its characteristic high rates of industrialisation. The 1937 census recorded a fairly high level of religiosity, despite the largely anti-religious policy that had been carried out for almost 20 years. The war led to an increase in religiosity, probably because often only faith could become the core around which daily life was built, full of deprivation, anxiety and fear for loved ones.

The Media Diet of University Students in Italy

2012 ◽  
pp. 84-93
Author(s):  
Andrea Pozzali ◽  
Paolo Ferri
Keyword(s):  
University Students ◽  
Information And Communication Technologies ◽  
Undergraduate Students ◽  
Digital Technologies ◽  
Communication Technologies ◽  
Digital Natives ◽  
Educational Systems ◽  
Information And Communication ◽  
High Level ◽  
The University

Developments in information and communication technologies have raised the issue of the intergenerational digital divide that can take place between “digital natives” and “digital immigrants”. Despite emphatic claims concerning how educational systems must take into account the specific characteristics of “digital natives”, sound empirical research on these topics is lacking, especially for Europe. This paper presents the results of research performed during the course of 2008, studying how university students in Italy use digital technologies. The research is based on a survey of 1086 undergraduate students at the University of Milan-Bicocca, complemented by focus groups and in-depth interviews. The results of our research show that, even if university students are familiar with digital technologies, the general possession of high level skills in accessing and using the Internet should not be taken for granted.

scholarly journals Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 193 ◽  
Author(s):  
Sebastian Raschka ◽  
Joshua Patterson ◽  
Corey Nolet
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Science ◽  
Gpu Computing ◽  
Graphics Processing Unit ◽  
General Purpose ◽  
Processing Unit ◽  
The Core ◽  
Critical Components ◽  
High Level

Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles of data generated each day to learning from and taking useful action. Deep neural networks, along with advancements in classical machine learning and scalable general-purpose graphics processing unit (GPU) computing, have become critical components of artificial intelligence, enabling many of these astounding breakthroughs and lowering the barrier to adoption. Python continues to be the most preferred language for scientific computing, data science, and machine learning, boosting both performance and productivity by enabling the use of low-level libraries and clean high-level APIs. This survey offers insight into the field of machine learning with Python, taking a tour through important topics to identify some of the core hardware and software paradigms that have enabled it. We cover widely-used libraries and concepts, collected together for holistic comparison, with the goal of educating the reader and driving the field of Python machine learning forward.

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