Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska最新文献

ENGINEERING AND TECHNICAL ASSESSMENT OF THE COMPETITIVENESS OF UKRAINIAN MECHANICAL ENGINEERING ENTERPRISES BASED ON THE APPLICATION OF REGRESSION MODELS 基于回归模型的乌克兰机械工程企业工程技术竞争力评价

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.5351

Anna Vitiuk, Leonid Polishchuk, Nataliia B. Savina, Oksana O. Adler, Gulzhan Kashaganova, Saule Kumargazhanova

引用次数: 0

OPTIMIZATION OF PARTS CUTTING PROCESS PARAMETERS WORKING IN CONDITIONS OF CYCLIC LOADS 循环载荷条件下零件切削工艺参数的优化

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.3650

Kateryna Barandych, Sergii Vysloukh, Grygoriy Tymchyk, Oleksandr Murashchenko, Saule Smailova, Saule Kumargazhanova

引用次数: 0

UNBALANCED MULTICLASS CLASSIFICATION WITH ADAPTIVE SYNTHETIC MULTINOMIAL NAIVE BAYES APPROACH 基于自适应综合多项朴素贝叶斯方法的不平衡多类分类

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.3740

Fatkhurokhman Fauzi, . Ismatullah, Indah Manfaati Nur

引用次数: 0

COMPARISON OF THE EFFECTIVENESS OF TIME SERIES ANALYSIS METHODS: SMA, WMA, EMA, EWMA, AND KALMAN FILTER FOR DATA ANALYSIS 时间序列分析方法的有效性比较:sma、wma、ema、ewma和卡尔曼滤波进行数据分析

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.3652

Volodymyr Lotysh, Larysa Gumeniuk, Pavlo Humeniuk

引用次数: 0

RESEARCH ON CALCULATION OPTIMIZATION METHODS USED IN COMPUTER GAMES DEVELOPMENT 计算机游戏开发中计算优化方法的研究

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.3828

Natali Fedotova, Maksim Procenko, Iryna Baranowa, Switłana Waszczenko, Yaroslava Dehtiarenko

引用次数: 0

OVERLOAD AND TRAFFIC MANAGEMENT OF MESSAGE SOURCES WITH DIFFERENT PRIORITY OF SERVICE 不同服务优先级消息源的过载和流量管理

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.3505

Valerii Kozlovskyi, Valerii Kozlovskyi, Andrii Toroshanko, Oleksandr Toroshanko, Natalia Yakumchuk

{"title":"OVERLOAD AND TRAFFIC MANAGEMENT OF MESSAGE SOURCES WITH DIFFERENT PRIORITY OF SERVICE","authors":"Valerii Kozlovskyi, Valerii Kozlovskyi, Andrii Toroshanko, Oleksandr Toroshanko, Natalia Yakumchuk","doi":"10.35784/iapgos.3505","DOIUrl":"https://doi.org/10.35784/iapgos.3505","url":null,"abstract":"The scheme of dynamic management of traffic and activity of message sources with different priority of service is considered. The scheme is built on the basis of the neuroprognostic analysis model and the gradient descent method. For prediction and early detection of overload, the apparatus of the general theory of sensitivity with indirect feedback and control of activity of message sources is used. The control algorithm is started at the bottleneck of the network node. It uses a recursive prediction approach where the neural network output is referred to as many steps as defined by a given prediction horizon. Traffic with a higher priority is served without delay using the entire available bandwidth. Low-priority traffic will use the remaining bandwidth not used by higher-priority traffic. An algorithm for estimating the maximum available bandwidth of a communication node for traffic with a low service priority has been developed. This approach makes it possible to improve the efficiency of channel use without affecting the quality of service for high-priority traffic.","PeriodicalId":53131,"journal":{"name":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

URBAN TRAFFIC CRASH ANALYSIS USING DEEP LEARNING TECHNIQUES 使用深度学习技术的城市交通碰撞分析

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.5350

Mummaneni Sobhana, Nihitha Vemulapalli, Gnana Siva Sai Venkatesh Mendu, Naga Deepika Ginjupalli, Pragathi Dodda, Rayanoothala Bala Venkata Subramanyam

{"title":"URBAN TRAFFIC CRASH ANALYSIS USING DEEP LEARNING TECHNIQUES","authors":"Mummaneni Sobhana, Nihitha Vemulapalli, Gnana Siva Sai Venkatesh Mendu, Naga Deepika Ginjupalli, Pragathi Dodda, Rayanoothala Bala Venkata Subramanyam","doi":"10.35784/iapgos.5350","DOIUrl":"https://doi.org/10.35784/iapgos.5350","url":null,"abstract":"Road accidents are concerningly increasing in Andhra Pradesh. In 2021, Andhra Pradesh experienced a 20 percent upsurge in road accidents. The state's unfortunate position of being ranked eighth in terms of fatalities, with 8,946 lives lost in 22,311 traffic accidents, underscores the urgent nature of the problem. The significant financial impact on the victims and their families stresses the necessity for effective actions to reduce road accidents. This study proposes a framework that collects accident data from regions, namely Patamata, Penamaluru, Mylavaram, Krishnalanka, Ibrahimpatnam, and Gandhinagar in Vijayawada (India) from 2019 to 2021. The dataset comprises over 12,000 records of accident data. Deep learning techniques are applied to classify the severity of road accidents into Fatal, Grievous, and Severe Injuries. The classification procedure leverages advanced neural network models, including the Multilayer Perceptron, Long-Short Term Memory, Recurrent Neural Network, and Gated Recurrent Unit. These models are trained on the collected data to accurately predict the severity of road accidents. The project study to make important contributions for suggesting proactive measures and policies to reduce the severity and frequency of road accidents in Andhra Pradesh.","PeriodicalId":53131,"journal":{"name":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PV PANEL COOLING USING STACK EFFECT 光伏板冷却采用堆叠效应

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.3756

Kudith Nageswara Rao, Ganesamoorthy Rajkuma

引用次数: 0

A STANDALONE DC MICROGRID ENERGY MANAGEMENT STRATEGY USING THE BATTERY STATE OF CHARGE 基于电池充电状态的独立直流微电网能量管理策略

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.5320

Elvin Yusubov, Lala Bekirova

{"title":"A STANDALONE DC MICROGRID ENERGY MANAGEMENT STRATEGY USING THE BATTERY STATE OF CHARGE","authors":"Elvin Yusubov, Lala Bekirova","doi":"10.35784/iapgos.5320","DOIUrl":"https://doi.org/10.35784/iapgos.5320","url":null,"abstract":"This article introduces an enhanced energy management strategy that employs the state of charge (SoC) of batteries in standalone DC microgrids with photovoltaic (PV) modules. Efficient energy management is crucial to ensure uninterrupted power supply to the load units in microgrids. To address the challenges posed by external factors such as temperature fluctuations and variations in solar irradiance, energy storage systems are deployed to compensate for the negative effects of the external factors on the output power of PV modules. The proposed approach takes into account various parameters of the microgrid elements, including the available power from the sources, demand power, and the SoC of batteries, in order to develop an efficient energy control mechanism with load-shedding capability. By considering these parameters, the strategy aims to optimize the utilization of available resources while ensuring a reliable power supply to the connected loads. The SoC of the batteries plays a critical role in determining optimal charging and discharging profiles, enabling effective energy management within the microgrid. To evaluate the effectiveness of the proposed approach, an algorithm is designed and simulations are conducted. The proposed algorithm utilizes a hybrid approach by combining power and SoC-based methods for efficient control. Through analysis of the simulation results, it is found that the presented approach is capable of delivering the intended load power while increasing the life cycle of the batteries with the pre-defined SoC levels.","PeriodicalId":53131,"journal":{"name":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MACROMODELING OF LOCAL POWER SUPPLY SYSTEM BALANCE FORECASTING USING FRACTAL PROPERTIES OF LOAD AND GENERATION SCHEDULES 基于负荷和发电计划分形特性的局部供电系统平衡预测宏观建模

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI: 10.35784/iapgos.4457

Daniyar Jarykbassov, Petr Lezhniuk, Iryna Hunko, Vladyslav Lysyi, Lyubov Dobrovolska

{"title":"MACROMODELING OF LOCAL POWER SUPPLY SYSTEM BALANCE FORECASTING USING FRACTAL PROPERTIES OF LOAD AND GENERATION SCHEDULES","authors":"Daniyar Jarykbassov, Petr Lezhniuk, Iryna Hunko, Vladyslav Lysyi, Lyubov Dobrovolska","doi":"10.35784/iapgos.4457","DOIUrl":"https://doi.org/10.35784/iapgos.4457","url":null,"abstract":"A method of forecasting the balance of electricity consumption of urban development objects, civil purposes using discrete macromodels is proposed. We consider the power supply system (PSS) of the district, which is characterised by power supply from general-purpose power grids, as well as having its own generation of electricity from renewable energy sources (RES). Such a local electric power system (LES) under certain conditions can be operated as an independent balanced electrical facility. For optimal operation of the LES under these conditions, it is necessary to predict its power consumption schedules. The proposed macromodelling method allows to develop deterministic models of power consumption with the required accuracy on the basis of retrospective information without the use of data preprocessing procedures. The solution to the problem of forecasting electricity consumption schedules is simplified by using only basic or deterministic characteristics in the construction of the model. These include fractal properties of PSS load schedules.","PeriodicalId":53131,"journal":{"name":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0