scholarly journals Calculation of Mohr-Coulomb Parameters for Rocks of Doha, Qatar

2021 ◽  
Author(s):  
Hrvoje Vučemilović
Keyword(s):  
Technical Note ◽  
High Variability ◽  
The State ◽  
Computing Power ◽  
Software Packages ◽  
Software And Hardware ◽  
Derivation Method

Abstract Among practitioners, designers and researchers, modern-day geotechnical software packages still predominantly use Mohr-Coulomb (MC) input modelling parameters, despite the immense computing power of today’s software and hardware components. The same particularly applies to this field of work in the state of Qatar. The goal of this technical note is to demonstrate the most appropriate derivation method for Mohr-Coulomb parameters, by proving that this must ensue by first obtaining or estimating proper Hoek-Brown parameters, followed by appropriate method for conversion. Only such an approach can remove uncertainty and high variability of results in geotechnical estimations and design inputs.

INFORMATION AND TELECOMMUNICATION NETWORK SECURITY MANAGEMENT METHODOLOGY

2021 ◽  
Author(s):  
М.А. КАРПОВ ◽  
М.В. МИТРОФАНОВ ◽  
О.С. ЛАУТА ◽  
Д.А. ПАЛЬЦИН
Keyword(s):  
State Space ◽  
Dynamic Systems ◽  
Telecommunication Network ◽  
The State ◽  
Complex Dynamic ◽  
Computing Power ◽  
Complex Dynamic Systems ◽  
Situational Management ◽  
The Cost ◽  
Network Security Management

Исследуются вопросы ситуативного управления сложными динамическими системами. Анализируются релевантные работы в области ситуативного управления системами защиты. Приводятся результаты разработки алгоритма эффектив -ного управления, позволяющего уменьшать пространство состояний управляемого объекта. Показано, что представленная методика позволяет спрогнозировать количество итераций управления в зависимости от сегмента пространства состояний и выбранного количества переходов. Данный подход позволяет воздействовать на сложные динамические системы в реальном времени, причем затраты на вычислительные мощности системы управления и ее подсистем сокращаются. The issues of situational management of complex dynamic systems are investigated. Relevant works in the field of situational management of protection systems are analyzed. The article presents the results of the development of an efficient control algorithm that allows reducing the state space of the controlled object. The presented technique makes it possible to predict the number of control iterations depending on the segment of the state space and the selected number of transitions. This approach allows you to act on complex dynamic systems in real time, while the cost of the computing power of the control system and its subsystems is reduced. Keywords: INFORMATION AND TELECOMMUNICATION NETWORK, SCRIPT FORECAST, MANAGEMENT SYSTEM, SITUATIONAL MANAGEMENT, ITCN SECURITY SYSTEM

Interfacing Virtual Reality, CFD and the Internet

1997 ◽  
Author(s):  
David J. Freeman
Keyword(s):  
Fluid Dynamics ◽  
Virtual Reality ◽  
The Internet ◽  
Parallel Processor ◽  
Computing Power ◽  
Numerical Predictions ◽  
Computational Fluid Dynamics Cfd ◽  
Software And Hardware ◽  
Time Required ◽  
The Cost

Computational Fluid Dynamics (CFD) is a valuable tool for the process and petroleum industries. CFD reduces development timescales and costs by replacing expensive and lengthy laboratory investigation with numerical predictions of processes. However, there are several reasons why some companies are unwilling to use CFD. These include the cost of the software and hardware, the need for in-house CFD expertise and the time required to solve complex simulations. CHAM has developed a solution to these problems, in the form of a Virtual Reality Interface linked via the Internet to powerful parallel-processor computers. Virtual reality makes CFD accessible to non-CFD experts and allows the engineer to concentrate on the solution of his problem. Remote computing makes it possible to access from a PC the necessary computing power to solve the problem. Several examples will be shown, demonstrating the application and benefits of the PHOENICS-VR interface and the advantages of remote computing to the process and petroleum industries.

scholarly journals BioExcel Building Blocks, a software library for interoperable biomolecular simulation workflows

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Pau Andrio ◽  
Adam Hospital ◽  
Javier Conejero ◽  
Luis Jordá ◽  
Marc Del Pino ◽  
...  
Keyword(s):  
Building Blocks ◽  
Biological Processes ◽  
Software Management ◽  
Software Library ◽  
Management Tools ◽  
Software Packages ◽  
Biomolecular Simulations ◽  
Software And Hardware ◽  
A Chain ◽  
Workflow Orchestration

Abstract In the recent years, the improvement of software and hardware performance has made biomolecular simulations a mature tool for the study of biological processes. Simulation length and the size and complexity of the analyzed systems make simulations both complementary and compatible with other bioinformatics disciplines. However, the characteristics of the software packages used for simulation have prevented the adoption of the technologies accepted in other bioinformatics fields like automated deployment systems, workflow orchestration, or the use of software containers. We present here a comprehensive exercise to bring biomolecular simulations to the “bioinformatics way of working”. The exercise has led to the development of the BioExcel Building Blocks (BioBB) library. BioBB’s are built as Python wrappers to provide an interoperable architecture. BioBB’s have been integrated in a chain of usual software management tools to generate data ontologies, documentation, installation packages, software containers and ways of integration with workflow managers, that make them usable in most computational environments.

Technical Note: Shock Testing Using a Vibrator

2001 ◽  
Vol 8 (1) ◽  
pp. 83-99
Author(s):  
Samir N. Y. Gerges
Keyword(s):  
Control Systems ◽  
Digital Control ◽  
Technical Note ◽  
The State ◽  
Shock Testing ◽  
Breakdown Time ◽  
Digital Control Systems ◽  
Shock Environment ◽  
Set Up ◽  
State Of Art

In recent years there has been an increasing tendency to use shakers rather than shock devices, for shock testing. The advantage of using the same transducers and fixtures for both vibration and shock tests, is that not only does this reduce initial equipment costs; it also complements the sophisticated digital control systems currently available and significantly reduces set-up and breakdown time in the laboratory. This paper presents a review of the state of art on testing by simulating a shock environment with shakers.

Three-Dimension Seismic Data Exploration Software in VR Platform

2013 ◽  
Vol 340 ◽  
pp. 436-440
Author(s):  
Xiao Li Kong ◽  
Shu Ling Wang ◽  
Xin Su
Keyword(s):  
Virtual Reality ◽  
Intellectual Property ◽  
Seismic Data ◽  
The State ◽  
Data Exploration ◽  
Petroleum Exploration ◽  
Three Dimension ◽  
Petroleum Companies ◽  
Software And Hardware

Though VR (Virtual Reality) technique is now applied in petroleum exploration & development, the state-owned petroleum companies have no IP (intellectual property) for such a VR system in China. Thus, it is necessary to study and develop a VR system for our petroleum companies. Based on our previous achievements in study of software and hardware technique, the concept of developing a multi-subject cooperating exploration center based on VR system is proposed in this paper. The design of interpretation software is mainly done and the further study for it is put forward.

scholarly journals Learning Business Process Simulation Via Experiential Learning

2011 ◽  
Vol 4 (8) ◽  
pp. 19
Author(s):  
Paul F. Schikora ◽  
Brian D. Neureuther
Keyword(s):  
Discrete Event Simulation ◽  
Process Analysis ◽  
Discrete Event ◽  
Simulation Models ◽  
Simulation Software ◽  
Computing Power ◽  
Event Simulation ◽  
Software Packages ◽  
Basic Concepts ◽  
User Friendly

The use of discrete event simulation as a process analysis and improvement tool is no longer limited to industrial engineering curricula. With advancements in desktop computing power, we have seen user-friendly simulation software packages become available (e.g. ProModel, Arena, ProcessModel). However, we have found it desirable that students still learn the very basic concepts behind these simulation models in order to better understand their development and use. We present a simple classroom game that teaches students the basic discrete-event simulation concepts and processes without requiring them to learn all the underlying mathematics and scientific theory.

scholarly journals Technical note on probabilistic assessment of one-step-ahead rainfall variation by Split Markov Process

2011 ◽  
Vol 8 (1) ◽  
pp. 189-206
Author(s):  
R. Maity ◽  
D. Prasad
Keyword(s):  
Markov Process ◽  
Daily Rainfall ◽  
Rain Gauge ◽  
Technical Note ◽  
The State ◽  
Contour Plot ◽  
Probabilistic Assessment ◽  
Time Step ◽  
Rainfall Variation ◽  
One Step

Abstract. In this paper, Split Markov Process (SMP) is developed to assess one-step-ahead variation of daily rainfall at a rain gauge station. SMP is an advancement of general Markov Process (MP) and specially developed for probabilistic assessment of change in daily rainfall magnitude. The approach is based on a first-order Markov chain to simulate daily rainfall variation at a point through state/sub-state Transitional Probability Matrix (TPM). The state/sub-state TPM is based on the historical transitions from a particular state to a particular sub-state, which is the basic difference between SMP and general MP. In MP, the transition from a particular state to another state is investigated. However, in SMP, the daily rainfall magnitude is categorized into different states and change in magnitude from one temporal step to another is categorized into different sub-states for the probabilistic assessment of rainfall variation. The cumulative state/sub-state TPM is represented in a contour plot at different probability levels. The developed cumulative state/sub-state TPM is used to assess the possible range of rainfall in next time step, in a probabilistic sense. Application of SMP is investigated for daily rainfall at Khandwa station in the Nimar district of Madhya Pradesh, India. Eighty years of daily monsoon rainfall is used to develop the state/sub-state TPM and twenty years data is used to investigate its performance. It is observed that the predicted range of daily rainfall captures the actual observed rainfall with few exceptions. Overall, the assessed range, particularly the upper limit, provides a quantification possible extreme value in the next time step, which is very useful information to tackle the extreme events, such flooding, water logging etc.

Digital design and manufacturing on the cloud: A review of software and services—RETRACTED

2016 ◽  
Vol 31 (1) ◽  
pp. 104-118 ◽  
Author(s):  
Dazhong Wu ◽  
Janis Terpenny ◽  
Dirk Schaefer
Keyword(s):  
Conference Proceedings ◽  
New Technologies ◽  
State Of The Art ◽  
The State ◽  
Digital Design ◽  
Research Gaps ◽  
Commercial Software ◽  
Software Packages ◽  
Design And Manufacturing ◽  
Manufacturing Software

AbstractThis paper (Wu 2016), which was published in AI EDAM online on August 22, 2016, has been retracted by Cambridge University Press as it is very similar in content to a published ASME Conference Proceedings paper. The article in question and the ASME Conference Proceedings paper were submitted for review with AI EDAM and the ASME at similar times, but copyright was assigned to ASME before the paper was accepted in AI EDAM and therefore the article in AI EDAM is being retracted. (In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and manufacturing using cyber-physical systems, data analytics, and high-performance computing. Many of these initiatives, such as cloud-based design and manufacturing, fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet and are often hailed as pillars of a new industrial revolution. While an increasing number of companies are developing or already offer commercial cloud-based software packages and services for digital design and manufacturing, little work has been reported on providing a review of the state of the art of these commercial software and services as well as identifying research gaps in this field. The objective of this paper is to present a state-of-the-art review of digital design and manufacturing software and services that are currently available on the cloud. The focus of this paper is on assessing to what extent engineering design, engineering analysis, manufacturing, and production across all phases of the product development lifecycles can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial software and services, it can be concluded that almost all phases of product realization can be conducted through digital design and manufacturing software and services on the cloud. Finally, existing research gaps and related challenges to overcome are identified. The state-of-the-art review serves to provide a technology guide for decision makers in their efforts to select suitable cloud-based software and services as alternatives to existing in-house resources as well as to recommend new research areas.)

scholarly journals When the state of the art is ahead of the state of understanding: Unintuitive properties of deep neural networks

2018 ◽  
Author(s):  
Joan Serrà
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Recent Work ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
The State ◽  
Computing Power ◽  
The Media ◽  
Insight Into ◽  
Empirical Means

Deep learning is an undeniably hot topic, not only within both academia and industry, but also among society and the media. The reasons for the advent of its popularity are manifold: unprecedented availability of data and computing power, some innovative methodologies, minor but significant technical tricks, etc. However, interestingly, the current success and practice of deep learning seems to be uncorrelated with its theoretical, more formal understanding. And with that, deep learning’s state-of-the-art presents a number of unintuitive properties or situations. In this note, I highlight some of these unintuitive properties, trying to show relevant recent work, and expose the need to get insight into them, either by formal or more empirical means.

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