Finding dependencies in the corporate environment using data mining

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 431, P. 05032 - 05032

Published: Jan. 1, 2023

The article analyses the influence of factors work environment, as well non-work on employee's departure from company. A dataset containing 1470 data rows with 14 attributes belonging to company's employees was selected for analysis. method self-organising Kohonen maps used, which allow study structure and identify hidden patterns, artificial neural networks, analyse large amounts find relationships that may not be obvious humans. In course work, errors methods were determined, several experiments different number conducted, dependence between magnitude error algorithms revealed. For both each experiment, conjugacy tables obtained, contain classification results obtained by methods. addition, a correlation analysis performed determine degree association target variable.

Language: Английский

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Development of a multifunctional cross-platform system for automation of energy data and resource management

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 460, P. 07002 - 07002

Published: Jan. 1, 2023

This paper describes the development of an integrated system for energy management in construction industry that meets modern requirements and sustainable principles. The focus is on hardware software engineering as well economic management. provides functionality required efficient resources, optimisation performance compliance with environmental standards. In long term, contributes to increased business efficiency construction, cost reduction improved engineering.

Language: Английский

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Determination of the Performance Characteristics of a Traction Battery in an Electric Vehicle

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(2), P. 64 - 64

Published: Feb. 12, 2024

Electric vehicles are the most innovative and promising area of automotive industry. The efficiency a traction battery is an important factor in performance electric vehicle. This paper presents mathematical model truck, including modules for to determine depth discharge during operation system truck calculating forces on shaft motors. As result modelling, charging discharging currents accumulator real cycle movement peak nominal modes motors at different voltages determined. A functional scheme generalized vehicle electrical equipment developed. An experimental charge degree, torques asynchronous motors, temperature inverters, voltage speed have been measured analysed. developed complex battery, two inverters integrated into portal bridge allowed us obtain study load parameters driving cycles. Data were verified by comparing simulation results with data obtained driving.

Language: Английский

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Control system for personnel, fuel and boilers in the boiler house

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 458, P. 01010 - 01010

Published: Jan. 1, 2023

This paper tackles the pressing issue of insufficient automation in boiler room industry, specifically concerning crucial tasks data collection and analysis pertaining to status, fuel levels, employee activity. Presently, these often demand significant manual efforts, resulting inefficiencies potential errors. To address this challenge, proposes development an innovative cutting-edge system that aims revolutionize industry’s operations. The proposed promises seamlessly integrate consolidate vital information related consumption, performance, actions into a unified compact platform. By doing so, it endeavors enhance overall efficiency, optimize resource allocation, minimize downtime, improve decision-making processes. new system’s successful implementation could potentially lead greater productivity safety standards within ushering era streamlined automated

Language: Английский

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Integration of automated information systems and architectural solutions in industrial enterprises

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 458, P. 09021 - 09021

Published: Jan. 1, 2023

The global aluminum industry faces challenges like price fluctuations and environmental regulations. To overcome these, it must adopt Automated Information Systems (AIS) to streamline data handling improve decision-making. However, AIS implementation requires system integration, workforce training, robust security measures. In summary, adoption is crucial for the industry's efficiency sustainability in a changing landscape

Language: Английский

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Strategy of introduction of information system in trade and logistics company

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 458, P. 05016 - 05016

Published: Jan. 1, 2023

In the modern world, technologies and market requirements are constantly changing, introduction of information systems is necessary for successful functioning companies in field trade logistics. These automate processes, simplify management increase efficiency. The advantages implementing discussed this article, as well problems that may face process. inconsistency company’s hardware architecture network with requirements, lack resources, including qualified personnel finances, main problems. Incorrect choice system or resistance from employees can also cause Taking into account all these factors overcoming them important implementation logistics order to get benefits new system.

Language: Английский

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The use of artificial intelligence to diagnose the disease

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 84, P. 01008 - 01008

Published: Jan. 1, 2024

This article explores the use of artificial intelligence in medical field for diagnosing a disease, namely identification factors that affect presence brain tumor. Modern technologies are developing rapidly, and is becoming an increasingly important tool to help doctors accurate timely diagnosis various diseases. The focuses on application learning methods such as decision trees, Kohonen maps neural networks. development medicine provides huge potential improving diseases increasing effectiveness treatment, which contributes quality life patients. However, do not consider need ongoing scientific support, testing regulation ensure safety reliability medicine.

Language: Английский

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Using machine learning algorithms to solve data classification problems using multi-attribute dataset

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 84, P. 02001 - 02001

Published: Jan. 1, 2024

This paper discusses various machine learning techniques such as decision trees, Kohonen maps neural network method, and correlation analysis. The training of networks further comparative analysis was carried out using a real estate price segment classification dataset. overall quality the data collected in dataset evaluated while other methods were used to predict target variable. obtained summarized table. As result work done, relatively high accuracy large number parameters almost all methods, only exception is which does not very correctly selected software product

Language: Английский

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Automated System for Accounting of Customers and Orders

Published: March 20, 2024

This study presents the operating model of a computer repair centre, specialised enterprise dedicated to refurbishment devices from various manufacturers. The centre offers wide range services, including both warranty and post-warranty repairs troubleshooting assistance. Customers are responsible for bringing their computers service where an acceptance certificate is drawn up indicating nature fault, model, serial number date receipt device. Both parties - client provider sign this document. If under warranty, card must be provided. process starts with diagnostics identify faults, after which necessary work components replaced, as well associated costs, discussed client. customer has right refuse any part proposed repair. Repairs carried out by highly trained technicians only obtaining customer's consent. Upon completion work, notified that complete set picking unit. collection device, pays agreed supported support serviced product.

Language: Английский

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Use of Computer Simulation Tools to Simulate Processes at the Foundry

Published: March 20, 2024

In the foundry, start-up and development of new castings requires considerable time manpower required for inevitable adjustment process parameters tooling. This becomes particularly difficult in context existing, ongoing production. specialist breadth multidisciplinary knowledge that determines freedom creativity, as well a serious motivation to actively use his work possibilities modern technology systems automatic modeling foundry processes (SAM FP). The main difficulties encountered solving problems technological preparation casting production are complexity mathematical description. makes it apply well-known programs preparation. Despite this, computer simulation is becoming an integral part mold processes. It helps increase competitiveness more customers appear, which list requirements manufacturer castings, require simulation. SAM FP possible out nuances on virtual prototype made casting. reduces or completely eliminates need trial design cost Visualization physical technology, such filling molten cavity, cooling solidification metal, its warping under influence thermal stresses allows better understanding features these processes, therefore, manage them effectively order reduce defects yield good. paper presents silumin using program LVMFlow.

Language: Английский

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