scholarly journals OPTIMUM PACKAGING OF MACHINES WHILE DEVELOPING A CROWN UNDER A VERTICAL STEEL TANK FOR OIL STORAGE WITH A VOLUME OF 5000 M3

2020 ◽  
pp. 64-71
Author(s):  
А. С. Семин ◽  
С. И. Вахрушев
Keyword(s):  
General Purpose ◽  
Optimization Criterion ◽  
Dynamic Programming Method ◽  
Network Graph ◽  
Construction Machinery ◽  
Oil Storage ◽  
Steel Tank ◽  
External Conditions ◽  
High Level ◽  
Optimal Set

Строительство зданий и сооружений нефтяного комплекса представляет собой сложный технологический процесс, в состав которого входит производство земляных работ. Строительная техника для производства земляных работ должна соответствовать как техническим характеристикам для выполнения поставленных задач при определенных внешних условиях, так и экономическим показателям. В статье рассматривается вопрос оптимального комплектования строительных машин при разработке котлована под вертикальный стальной резервуар (РВС). Разработана программа для поиска оптимального комплекта машин, в условиях полной определенности. Расчет основан на методе динамического программирования Дейкстры. В качестве критерия оптимизации выбраны приведенные затраты на единицу одного кубометра строительной продукции. Расчет представлен для каждого этапа производства работ. По результат расчета построен сетевой граф с выбором оптимального комплекта машин. Программа расчета выполнена на высокоуровневом языке программирования общего назначения Python. The construction of buildings and structures of the oil complex is a complex technological process, which includes the production of earthworks. Construction machinery for earthworks should comply with both the technical characteristics for the performance of tasks under certain external conditions and economic indicators. The article discusses the question of the optimal acquisition of construction vehicles during the development of a pit for a vertical steel tank (TVS). A program has been developed to search for the optimal set of machines, in conditions of complete certainty. The calculation is based on the Dijkstra dynamic programming method. As an optimization criterion, the reduced costs per unit of one cubic meter of construction products were selected. The calculation is presented for each stage of the work. Based on the calculation result, a network graph was constructed with the choice of the optimal set of machines. The calculation program is executed in a high-level general-purpose programming language Python.

scholarly journals The use of training technology tools as the basis for its successful implementation in intra-organization training

2021 ◽  
Vol 11 (3) ◽  
pp. 206-215 ◽  
Author(s):  
A. V. Cherepanov ◽  
G. A. Rekhtina
Keyword(s):  
Work Group ◽  
Successful Implementation ◽  
Training Methods ◽  
Simulation Games ◽  
Self Presentation ◽  
Training Support ◽  
Iterative Model ◽  
Technology Tools ◽  
External Conditions ◽  
High Level

The problem fields of research in the framework of the topic are the lack of classification of training methods in intra-organization training, the insufficient quality of the use of tools in the practice of intra-organization training, as well as the use of tools for evaluating and analyzing training activities. The highlighted aspects allowed us to determine the relevant vectors of the research: the competence of the coach, the systematization of training methods and techniques, the features of the use of the tools, the methodology of the tools for evaluation of training sessions. The most important characteristic of the competence of a corporate coach is the possession of the training technology tools at a high level. The article stands out the main competences of a corporate coach, such as focus on results, effective communication, effective self-presentation, persuasion and influence, confidence and stress resistance, creating a motivating educational environment. The authors pay particular attention to the phenomenon of pedagogical artistry, internal and external conditions of its development. The article introduces the basic training techniques (informational, stimulation, exercises for practical performance of work, group-dynamic exercises) and related training methods into the system. The authors consider the criteria and limitations that a trainer should to take into account when choosing training technology tools. The article introduces distinctions of tools when considering their arsenal (planning tools; direct implementation of the process; control (monitoring), evaluation and analysis of the results; post-training support). The authors indicate the following features of the use of training technology tools in intra-organization training: the formation of target guidelines for each stage of training implementation; determining tasks and the algorithm for training implementation; drawing up a training program; chronological planning of training units; planning of the necessary methodical support of training units; compliance with the principle of training planning based on an iterative model with one or more contours; the use of business and simulation games, exercises and tasks; using multiple studies scenarios for conducting classes; presenting information depending on the features of its perception; taking into account the target audience; taking into account the age characteristics of the audience, etc.

scholarly journals PROBLEMS OF STORAGE, REFINERY AND DISPOSING OF DRILLING WASTE OF THE EXPLORATION AND PRODUCTION SECTOR OF KAZAKHSTAN. ARRANGEMENT AND OPERATION FEATURES OF SLUDGE COLLECTORS AND OIL STORAGE PITS

2021 ◽  
Vol 2 (446) ◽  
pp. 151-158
Author(s):  
O. V. Rozhkova ◽  
M. T. Yermekov ◽  
Ye. T. Tolysbayev ◽  
S. G. Maryinsky ◽  
A. V. Vetyugov
Keyword(s):  
Drilling Fluid ◽  
Production Sector ◽  
Textile Materials ◽  
Oil Storage ◽  
Drilling Waste ◽  
Exploration And Production ◽  
Oil Sector ◽  
High Level ◽  
Drilling Wastes ◽  
Water Waste

A lot of drilling wastes with various content of oil products is formed annually during production of hydrocarbons in the result of accidents at the facilities of transportation and oil production, soil is polluted. So, main contaminants of the environment are drilling wastes such as drilling, drilling waste water, waste drilling fluid and places of their disposition - sludge pits. Total amount of the oil slurry annually formed at enterprises of the oil sector of Kazakhstan is about 100 thousand ton, and resources of these wastes are estimated in more than 40 mln. ton. The wastes are placed in special sludge pits equipped with watertight screen. However, in spite of the available modern technologies for arrangement of waterproof finish of the drilling waste disposal facilities, high level of soil pollution is still observed. As a rule, pollutions are related to violation of the requirements of the standards during construction and operation of sludge pits, products pipelines, tailing dumps, sludge collectors and temporary storages. Therefore it is necessary to build reliable storages for temporary placement of the formed wastes until their delivery for recovery or disposing, during operation of which there will be no migration of pollutants to the environment. It is suggested to use bentonitic mats as waterproof finish of such facilities - this is innovative by properties, multifunctional composite material, which is combination of textile materials with the layer of the natural self- recovering mineral component - bentonite.

scholarly journals SoC-FPGA systems for the acquisition and processing of electroencephalographic signals

2021 ◽  
Vol 10 (3) ◽  
pp. 237
Author(s):  
Matias Javier Oliva ◽  
Pablo Andrés García ◽  
Enrique Mario Spinelli ◽  
Alejandro Luis Veiga
Keyword(s):  
Embedded System ◽  
Real Time ◽  
General Purpose ◽  
System Response ◽  
Single Chip ◽  
Real Time Processing ◽  
General Purpose Processor ◽  
Time Operation ◽  
Electroencephalographic Signals ◽  
High Level

<span lang="EN-US">Real-time acquisition and processing of electroencephalographic signals have promising applications in the implementation of brain-computer interfaces. These devices allow the user to control a device without performing motor actions, and are usually made up of a biopotential acquisition stage and a personal computer (PC). This structure is very flexible and appropriate for research, but for final users it is necessary to migrate to an embedded system, eliminating the PC from the scheme. The strict real-time processing requirements of such systems justify the choice of a system on a chip field-programmable gate arrays (SoC-FPGA) for its implementation. This article proposes a platform for the acquisition and processing of electroencephalographic signals using this type of device, which combines the parallelism and speed capabilities of an FPGA with the simplicity of a general-purpose processor on a single chip. In this scheme, the FPGA is in charge of the real-time operation, acquiring and processing the signals, while the processor solves the high-level tasks, with the interconnection between processing elements solved by buses integrated into the chip. The proposed scheme was used to implement a brain-computer interface based on steady-state visual evoked potentials, which was used to command a speller. The first tests of the system show that a selection time of 5 seconds per command can be achieved. The time delay between the user’s selection and the system response has been estimated at 343 µs.</span>

scholarly journals A Runtime System for XML Transformations in Java

2004 ◽  
Vol 11 (33) ◽  
Author(s):  
Aske Simon Christensen ◽  
Christian Kirkegaard ◽  
Anders Møller
Keyword(s):  
Static Analysis ◽  
Programming Language ◽  
Program Analysis ◽  
Companion Paper ◽  
General Purpose ◽  
Runtime System ◽  
Xml Documents ◽  
Level Data ◽  
High Level ◽  
The Given

We show that it is possible to extend a general-purpose programming language with a convenient high-level data-type for manipulating XML documents while permitting (1) precise static analysis for guaranteeing validity of the constructed XML documents relative to the given DTD schemas, and (2) a runtime system where the operations can be performed efficiently. The system, named Xact, is based on a notion of immutable XML templates and uses XPath for deconstructing documents. A companion paper presents the program analysis; this paper focuses on the efficient runtime representation.

scholarly journals MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation

2019 ◽  
Author(s):  
J-Donald Tournier ◽  
Robert Smith ◽  
David Raffelt ◽  
Rami Tabbara ◽  
Thijs Dhollander ◽  
...  
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Image Data ◽  
Data Access ◽  
General Purpose ◽  
Computational Performance ◽  
Cross Platform ◽  
High Level ◽  
New Applications

AbstractMRtrix3 is an open-source, cross-platform software package for medical image processing, analysis and visualization, with a particular emphasis on the investigation of the brain using diffusion MRI. It is implemented using a fast, modular and flexible general-purpose code framework for image data access and manipulation, enabling efficient development of new applications, whilst retaining high computational performance and a consistent command-line interface between applications. In this article, we provide a high-level overview of the features of the MRtrix3 framework and general-purpose image processing applications provided with the software.

Non-contact Abnormal Physiological Status Detection during Sport and Training

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Correlation Energy ◽  
Physiological Parameters ◽  
Physiological Parameter ◽  
Physiological Status ◽  
Monitoring Method ◽  
Energy Entropy ◽  
External Conditions ◽  
High Level ◽  
And Training ◽  
Parameter Monitoring

In sport and training, it is necessary to continue monitoring the physiological parameters of athletes to ensure that they can maintain a high level of competitive state. The previous monitoring physiological status methods mainly are contactable by sensors that are worn on body. This paper adopts a non-contact physiological parameter monitoring method by using imaging photoplethysmography (iPPG). In order to eliminate the noises in iPPG signals, the correlation energy entropy threshold adaptive denoising and variance characterization sereies are introduced to resist the noises from external conditions. The noises are remove by a threshold which is estimated by noise energy entropy. The constructed signals after denoising are used to estimate physiological parameters, such as heart rate and respiratory rate. The experimental results demonstrate that it estimates the physiological parameters better by usng iPPG based physiological parameter monitoring method than previous methods.

Parametric Generator for Architectural and Urban 3D Objects

2013 ◽  
pp. 260-267
Author(s):  
Renato Saleri Lunazzi
Keyword(s):  
Finite Elements ◽  
Conceptual Model ◽  
Geometric Modeling ◽  
General Purpose ◽  
Semantic Description ◽  
3D Objects ◽  
Future Developments ◽  
Simple Tool ◽  
Parametric Generator ◽  
High Level

The authors developed and finalized a specific tool able to model the global structure of architectural objects through a morphological and semantic description of its finite elements. This discrete conceptual model - still in study - was refined during the geometric modeling of the “Vieux Lyon” district, containing a high level of morpho-stylistic disparity. Future developments should allow increasing the genericity of its descriptive efficiency, permitting even more sparse morphological and\or stylistic varieties. Its general purpose doesn’t consist in creating a “universal modeler,” but to offer a simple tool able to quickly describe a majority of standard architectural objects compliant with some standard parametric definition rules.

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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