Simulation of the steelmaking process using collision avoiding cranes moving models

The paper discusses a steelmaking process and its optimisation using simulation. The optimisation goal is to reduce the total distance travelled by cranes in all spans as well as to reduce the steel waiting time before casting on a continuous casting machine. Models of the process under study have been developed in the AnyLogic simulation software and the modelling subsystem of the metallurgical enterprise automated system. A comparative analysis of the simulation results has been conducted. All results are feasible in terms of meeting the technological constraint on the steel downtime in front of the continuous casting machine for no more than 15 minutes. When comparing two collision avoiding cranes moving models, a choice has been made in favour of a model that provides cranes movement to the nearest steel processing aggregate. Using this model allows to reduce the total path travelled by cranes by 6%. The results of using different modelling systems are consistent. © 2020 Published under licence by IOP Publishing Ltd

Development of an Automated System for Analysis, Modeling, and Decision-Making for Metallurgical Enterprise

The paper presents development of an automated system for analysis, modeling, and decision-making for metallurgical production. When operating information systems at various levels of automation, there is a problem of system integration at the level of information exchange to support timely decision-making. Problem solutions are aimed at implementing a typical business process for changing (improving) the technological, logistic, and organizational processes of the enterprise. The paper describes a scheme for integrating the processes of metallurgical production improving based on the use of a multi-agent approach in development of modules of the automated system. The use of the multi-agent approach allows solving the problem of automating the processes of approval and decision-making through the communication of hybrid agents implementing the functionality of individual modules of the system. © 2022 American Institute of Physics Inc.. All rights reserved.Government Council on Grants, Russian FederationA decision support method based on a multi-agent approach was used when developing the AMD system. This method is supported by the BPsim software package [18], which allows describing hybrid agents using production and frame knowledge bases. The BPsim tool includes the following integrated products: systems for dynamic situation modeling and decision support, CASE tool

Development of Cloud-Based Microservices to Decision Support System

Intelligent systems of simulation become a key stage of the scheduling of companies and industries work. Most of the existing decision support systems are desktop software. Today there is a need to use durability, flexibility, availability and crossplatforming information technologies. The paper proposes the idea of working cloud based decision support system BPsim.Web and this one consists of some set of services and tools. The model of the multiagent resources conversion process is considered. The process of the simulation model developing via BPsim.Web is described. An example of the real process model is given. © 2020, IFIP International Federation for Information Processing.Russian Foundation for Basic Research, RFBR: 18-37-00183The reported study was funded by RFBR according to the research project № 18-37-00183

Development of simulation model of continuous casting machine with dry change of steel ladles

Results of development of a multiagent simulation model of continuous casting machine with dry change of steel ladles are presented. An algorithm for cutting slabs as well as implementation of this algorithm to the multiagent model of the resource conversion process has been described. The simulation model of the continuous casting machine work is implemented in a metallurgical enterprise information system. During experiments with the model, information is used on the duration of real production processes. This information is formed by the data preparation module of the information system. As a result of simulation-evolutionary modeling with the developed model, recommendations have been obtained for increasing number of units of products going to customers without rejection and reassignment. © 2020 American Institute of Physics Inc.. All rights reserved.The reported study was funded by RFBR according to the research project № 18-37-00183

Abdominal Compartment Syndrome in Patients with Abdominal Sepsis

Kryvoruchko I. A., Antonova M. S., Tonkoglas O. A., Goni S.-K. T. Abdominal Compartment Syndrome in Patients with Abdominal Sepsis. Journal of Education, Health and Sport. 2017;7(3):449-456. eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.399313 http://ojs.ukw.edu.pl/index.php/johs/article/view/4362 The journal has had 7 points in Ministry of Science and Higher Education parametric evaluation. Part B item 1223 (26.01.2017). 1223 Journal of Education, Health and Sport eISSN 2391-8306 7 © The Author (s) 2017; This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. The authors declare that there is no conflict of interests regarding the publication of this paper. Received: 21.03.2017. Revised 22.03.2017. Accepted: 23.03.2017. Abdominal Compartment Syndrome in Patients with Abdominal Sepsis I. A. Kryvoruchko, M. S. Antonova, O. A. Tonkoglas, S.-K. T. Goni Kharkov National Medical University Ministry of Health of Ukraine Abstract Investigations were carried out in 53 patients who were operated on in 2015 about abdominal sepsis (AS). All patients were assigned according the severity of the condition, which was determined depending on the severity of the systemic inflammatory response and multiple organ failure: I group - patients with AS (28); II group - patients with severe AS (14); III group - patients with septic shock (11). Surgical management of all patients included two major components: control source of infection (source control) and control of organ damaged and the protective mechanisms system (damage control). In the first group, the laparotomy ended by suturing the wounds tightly with traditional drainage; in groups II and III surgical treatment were supplemented by the use of techniques aimed at the prevention and reduction of elevated intra-abdominal pressure. Studies have shown that 100 % of patients with AS showed an increase in intra-abdominal pressure and the development of intra-abdominal hypertension. While ACS developed in 18.9 % of cases (4 patients with severe sepsis and 6 - with septic shock). The highest mortality rate was observed among patients with grade III and IV intra-abdominal hypertension (11 of 25 patients). Key words: intra-abdominal pressure, abdominal sepsis, abdominal compartment syndrome, treatment

Analysis of the methods for accounting the renewable and non-renewable resources in scheduling

The paper discusses a scheduling problem taking into account the constraints on the renewable and non-renewable resources and availability of the works due dates. For the problem, an overview of the scheduling methods is given. The considered scheduling methods include approximate optimization algorithms and hybrid algorithms based on the genetic algorithm. It is concluded that it is necessary to use heuristic methods to find a solution. A new hybrid scheduling method based on multi-agent simulation is proposed. Application of agent-based simulation allows one to take into account the life cycle of the non-renewable resources and to distribute the renewable resources during scheduling. The genetic algorithm ensures search for the effective schedule with aim at the minimum cost of attracting the additional renewable resources in order to maintain the works deadlines. © Published under licence by IOP Publishing Ltd

An Imitation and Heuristic Method for Scheduling with Subcontracted Resources

A scheduling problem with subcontracted resources is widely spread and is associated with the distribution of limited renewable and non-renewable resources, both own and subcontracted ones based on the work’s due dates and the earliest start time. Scheduling’s goal is to reduce the cost of the subcontracted resources. In the paper, application of a few scheduling methods based on scheduling theory and the optimization algorithm is considered; limitations of these methods’ application are highlighted. It is shown that the use of simulation modeling with heuristic rules for allocation of the renewable resources makes it possible to overcome the identified limitations. A new imitation and heuristic method for solving the assigned scheduling problem is proposed. The comparison of the new method with existing ones in terms of the quality of the found solution and performance of the methods is carried out. A case study is presented that allowed a four-fold reduction of the overall subcontracted resources cost in a real project portfolio. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Funding: This research was funded by Act 211 Government of the Russian Federation, contract no. 02.A03.21.0006

Stages in formalizing energy conservation and efficiency management in industrial enterprises

This study introduces a method to formalize mathematical target setting at managing energy conservation and efficiency in enterprises. The suggested approach is based on energy conservation positioning, which reflects the link between company's management team and its energy efficiency policy. This project implementation aims to increase competitiveness of enterprises in a range of industries

Data Processing and Enrichment of LiDAR-Derived Traffic Data

With the escalating demand for efficient traffic management and the increasing complexity of traffic control, diverse sensor technologies have been implemented to measure traffic in real-time. The road-side LiDAR emerges as a novel technology addressing the data gap in multimodal traffic analyses. LiDAR sensing return time to precisely capture distance and reflectivity, generating point cloud data encompassing all traffic trajectory information. It overcomes challenges posed by illumination conditions like light, dust and fog, which often affect camera sensor performance. In addition, LiDAR sensing minimises the effect of changing object position and angles, simplifying object detection and recognition.This paper tackles the challenges of analysing LiDAR-derived traffic data by proposing a method for traffic trajectory data enrichment. The methodology followed includes creating a semantic map, bridging the physical space and raw data, transforming from a local to a standard Coordinate Reference System (CRS) and enriching data trajectory representation. Three use cases are presented based on the dataset obtained after enrichment: object classification, permissible directions violation detection, and traffic flow density. The proposed method is validated using traffic data from a LiDAR system of 6 sensors located in one of the busiest intersections in Sofia, Bulgaria. The raw sensor data is processed by a fusion box called the Augmented LiDAR Box, delivering time series frames with labelled moving objects in .osef format. The results prove that the proposed data enrichment method successfully transforms the trajectories into semantic sequences, opening up new avenues for trajectory analysis and intersection traffic micro-modelling

Looking for a Pulse: A Search for Rotationally Modulated Radio Emission from the Hot Jupiter, τ Boötis b

Hot Jupiters have been proposed as a likely population of low-frequency radio sources due to electron cyclotron maser emission of similar nature to that detected from the auroral regions of magnetized solar system planets. Such emission will likely be confined to specific ranges of orbital/rotational phase due to a narrowly beamed radiation pattern. We report on GMRT 150 MHz radio observations of the hot Jupiter τ Boötis b, consisting of 40 hr carefully scheduled to maximize coverage of the planet's 79.5 hr orbital/rotational period in an effort to detect such rotationally modulated emission. The resulting image is the deepest yet published at these frequencies and leads to a 3σ upper limit on the flux density from the planet of 1.2 mJy, two orders of magnitude lower than predictions derived from scaling laws based on solar system planetary radio emission. This represents the most stringent upper limits for both quiescent and rotationally modulated radio emission from a hot Jupiter yet achieved and suggests that either (1) the magnetic dipole moment of τ Boötis b is insufficient to generate the surface field strengths of >50 G required for detection at 150 MHz or (2) Earth lies outside the beaming pattern of the radio emission from the planet