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Journal articles on the topic 'New system management algorithms'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Zan Gao, Zan Gao, and Min Li Zan Gao. "Control Strategy of New Energy Vehicle Interior Thermal Management System Based on Intelligent Assisted Algorithms." 電腦學刊 34, no. 5 (2023): 197–204. http://dx.doi.org/10.53106/199115992023103405015.

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<p>Reasonable and efficient utilization of pure electric vehicle thermal management system can improve the battery utilization rate of new energy vehicles, thereby increasing the vehicle’s range and charging anxiety. This article proposes a new tram thermal management system scheme for temperature management in new energy vehicles, and designs corresponding thermal management system control strategies based on fuzzy adaptive PID control method. Finally, in order to verify the effectiveness of the management plan and control strategy, Matlab software was used for simulation. The simulatio

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Li, Hao Ran. "Study on Management System of Drainage Network." Applied Mechanics and Materials 675-677 (October 2014): 943–46. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.943.

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The advanced intelligent optimization algorithms used in water distribution network model study, currently in the pipe network optimization theory is a new, has great research value and practical value of the subject. This paper proposes a decision-making functions to optimize the drainage network system, by choosing the model using intelligent optimization algorithm for computing the most cost-caliber combination, to achieve the renovation and expansion of urban water supply network technical support.

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Paliwal, Vartika, Aniruddha D. Ghare, Ashwini B. Mirajkar, Neeraj Dhanraj Bokde, and Zaher Mundher Yaseen. "Proposition of New Metaphor-Less Algorithms for Reservoir Operation." Complexity 2021 (July 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/6642986.

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Based on the current water crisis scenario, effective water resources management can play an essential role. Reservoir operation optimization is part of water resources management. Reservoir operation optimization is difficult as it involves a large number of variables and constraints to achieve this goal. The present study aims at exploring the performance of recently developed heuristic algorithms—Rao algorithms as applied to the reservoir operation studies for the first time. Rao algorithms are metaphor-less algorithms that require only basic parameters—population size and function evaluati

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Srinivasa Reddy, A., Buddala Ramya, Thallada Harika, Beeram Supriya, and Nasiha Tabasum. "RECOMMENDATION SYSTEM FOR TOURISTS." YMER Digital 21, no. 05 (2022): 281–86. http://dx.doi.org/10.37896/ymer21.05/32.

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This project uses statistics from previous tourism experiences to recommend travel areas to travelers. To recommend a traveling area, we use the C4.5 decision tree algorithm with some specific criteria. To promote new locations, all existing algorithms, such as collaboration algorithms and content filtering algorithms, employ the most recent user experience data. If the present user does not have any previous experience data, these algorithms will fail. Another solution to the problem is to utilize the C4.5 decision tree method to build the model based on prior users' experiences. When a new u

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Guo, Yi. "Risk prediction of computer investment database information management system based on machine learning algorithms." Molecular & Cellular Biomechanics 21, no. 4 (2024): 920. https://doi.org/10.62617/mcb920.

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In recent years, with the continuous development of the financial market, the risk prediction of computer investment database information management systems (IMS) has high practical value. At present, there are risk issues in the information management system, which may cause drawbacks to investment data processing. To address these issues, this article used Machine Learning (ML) algorithms to analyze the risk prediction of computer investment database IMS. This article introduced and utilized typical Self-Organizing Map (SOM) and Artificial Neural Network (ANN) combination algorithms, regress

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Parra, Lorena, Sandra Sendra, Laura Garcia, and Jaime Lloret. "Smart Low-Cost Control System for Fish Farm Facilities." Applied Sciences 14, no. 14 (2024): 6244. http://dx.doi.org/10.3390/app14146244.

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Projections indicate aquaculture will produce 106 million tonnes of fish by 2030, emphasizing the need for efficient and sustainable practices. New technologies can provide a valuable tool for adequate fish farm management. The aim of this paper is to explore the factors affecting fish well-being, the design of control systems for aquaculture, and the proposal of a smart system based on algorithms to improve efficiency and sustainability. First, we identify the domains affecting fish well-being: the production domain, abiotic domain, biotic domain, and control systems domain. Then, we evaluate

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Niccolai, Alessandro, Silvia Trimarchi, Lisa Francesca Barbazza, et al. "Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids." Energies 18, no. 9 (2025): 2384. https://doi.org/10.3390/en18092384.

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The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. Their Energy Management Systems (EMSs) can be based on evolutionary optimization algorithms to identify efficient scheduling plans and improve performance. In this paper, a new approach based on evolutionary algorithms (EAs) is designed, implemented, and tested on a real microgrid architecture to evaluate its effectiveness. The proposed approach effectively combines heuristic information with

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Siasiev, Andrii, Serhii Dudnikov, Dmytro Nikolaienko, Halyna Hubal, and Oleg Bondarchuk. "Evaluation of the effectiveness of decision-making algorithms in the management of renewable energy sources: A case study of Ukraine." Sustainable Engineering and Innovation 7, no. 1 (2025): 87–96. https://doi.org/10.37868/sei.v7i1.id415.

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The integration of renewable energy sources in Ukraine requires advanced decision-making algorithms to address various challenges, including energy forecasting, resource optimization, and grid stability. The existing algorithms exhibit limitations in accuracy and efficiency, necessitating the development of innovative approaches to enhance performance in this regard. This work evaluated the performance of existing algorithms and developed two new algorithms: the enhanced forecasting algorithm (EFA) and the dynamic resource optimization algorithm (DROA). Data from a hybrid energy system compris

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Möhlmannn, Mareike, Carolina Alves de Lima Salge, and Marco Marabelli. "Algorithm Sensemaking: How Platform Workers Make Sense of Algorithmic Management." Journal of the Association for Information Systems 24, no. 1 (2023): 35–64. http://dx.doi.org/10.17705/1jais.00774.

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Algorithmic management can create work environment tensions that are detrimental to workplace well-being and productivity. One specific type of tension originates from the fact that algorithms often exhibit limited transparency and are perceived as highly opaque, which impedes workers’ understanding of their inner workings. While algorithmic transparency can facilitate sensemaking, the algorithm’s opaqueness may aggravate sensemaking. By conducting an empirical case study in the context of the Uber platform, we explore how platform workers make sense of the algorithms managing them. Drawing on

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Guo, Hang. "Application of Genetic Algorithms in the New Air Ttraffic Management Simulation System." Physics Procedia 33 (2012): 604–11. http://dx.doi.org/10.1016/j.phpro.2012.05.110.

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Wang, Peng. "Optimization Algorithms of PERT Network Diagram in Software Project Management System." Applied Mechanics and Materials 321-324 (June 2013): 2056–59. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2056.

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The PERT network diagram optimization and the node layout optimization were studied in order to solve the difficulty of using manual methods to generate the PERT network chart in large-scale software project management. The new methods of optimization the node of PERT was proposed based on ant colony optimization algorithm (ACO) and genetic algorithms (GAs). The high adaptability and population optimization technology of GAs are discussed and also the ACO is introduced to realize the nodes layout global adjustment. In the end, calculation and simulation results show that the methods proposed c

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Bélisle, François, Laura Torres, Pascal Volet, David K. Hale, and Anjana Avr. "Evaluating the HERO Ramp-Metering Algorithm with San Diego’s Integrated Corridor Management System Model." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (2019): 354–66. http://dx.doi.org/10.1177/0361198119858078.

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The FHWA project “Alternative Designs to Alleviate Freeway Bottlenecks at Merge/Diverge and Weaving Areas” aims at evaluating six different methods to mitigate merge impacts. In this paper, the following ramp-metering algorithms were tested: HEuristic Ramp metering coOrdination (HERO), Asservissement Linéaire d’entrée sur Autoroute (ALINEA), and San Diego Ramp Meter System (SDRMS). These were compared with a “do-nothing” base scenario. The algorithms were tested during a 5 h morning peak period simulation using the integrated corridor management system (ICMS) Aimsun network, a complete and wid

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LISHCHYNA, N., V. LISHCHYNA, А. YASHCHUK, and О. SIVAKOVSKA. "SMART HOME MANAGEMENT SYSTEM." Herald of Khmelnytskyi National University 301, no. 5 (2021): 109–13. http://dx.doi.org/10.31891/2307-5732-2021-301-5-109-113.

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The purpose of this work is to review the algorithms of the relationship between the terminal and the modules for the implementation of the system “Smart Home” on the Android operating system. And the development of its own system “Smart Home”. The system consists of a tablet with the Android operating system, which has its own developed program – the terminal, and various modules and sensors based on the microcontroller ESP8266-01. The main object in the development was to write universal, open and well-thought-out code, which allows you to implement any universal platform for a smart home, a

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Hewiagh, Ali, Kannan Ramakrishnan, Timothy Tzen Vun Yap, and Ching Seong Tan. "Waste Management System Fraud Detection Using Machine Learning Algorithms to Minimize Penalties Avoidance and Redemption Abuse." Recycling 6, no. 4 (2021): 65. http://dx.doi.org/10.3390/recycling6040065.

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Online frauds have pernicious impacts on different system domains, including waste management systems. Fraudsters illegally obtain rewards for their recycling activities or avoid penalties for those who are required to recycle their own waste. Although some approaches have been introduced to prevent such fraudulent activities, the fraudsters continuously seek new ways to commit illegal actions. Machine learning technology has shown significant and impressive results in identifying new online fraud patterns in different system domains such as e-commerce, insurance, and banking. The purpose of t

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Su, Yan, Hongcai Chen, Chenxuan Gu, Xiangyu Xing, and Xuerui Liang. "Aircraft System State Recognition and Fault Prediction Based on a Test Diagnostic Model." IOP Conference Series: Materials Science and Engineering 1207, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1757-899x/1207/1/012025.

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Abstract The existing testability models for fault prognosis of aircraft systems limit the implementation of prognosis and health management systems. This paper develops a test diagnosis modeling method and relevant algorithms to support dynamic testing and to evaluate fault prognostic ability during aircraft system design. According to the system principles and the complex function structure of aircraft systems, a test diagnostic model is established by integrating testing and prognostic information with a test diagnostic skeleton model using multi-signal flow. New test indexes are identified

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Mahfoudi, Mohammed, Moulhime El Bekkali, Abdellah Najd, M. El Ghazi, and Said Mazer. "A New Downlink Scheduling Algorithm Proposed for Real Time Traffic in LTE System." International Journal of Electronics and Telecommunications 61, no. 4 (2015): 409–14. http://dx.doi.org/10.2478/eletel-2015-0054.

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Abstract The Third Generation Partnership Project (3GPP) has developed a new cellular standard based packet switching allowing high data rate, 100 Mbps in Downlink and 50 Mbps in Uplink, and having the flexibility to be used in different bandwidths ranging from 1.4 MHz up to 20 MHz, this standard is termed LTE (Long Term Evolution). Radio Resource Management (RRM) procedure is one of the key design roles for improving LTE system performance, Packet scheduling is one of the RRM mechanisms and it is responsible for radio resources allocation, However, Scheduling algorithms are not defined in 3GP

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Kornyushko, V. F., O. M. Nikolaeva, A. V. Panov, R. R. Biglov, and A. S. Kuznetsov. "Quality management of the chemical-technological process for continuous synthesis of pharmaceutical substances of medicinal compounds in flow microreactors." Fine Chemical Technologies 16, no. 3 (2021): 252–66. http://dx.doi.org/10.32362/2410-6593-2021-16-3-252-266.

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Objectives. The introduction of digital tools for the development of medicines, intelligent management systems, and quality control is stipulated not only by modern requirements for the chemical and pharmaceutical industry but also by strict regulatory requirements for manufactured products. This principle ensures the release of a quality product on the first attempt. The aim of this study is to develop information support for the intelligent quality management system for the production of active pharmaceutical substances (APSs) for medicines using a fundamentally new technology: continuous sy

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ADAK, SUDESHNA. "e2eXpress: END-TO-END BIOINFORMATICS AND KNOWLEDGE MANAGEMENT SYSTEM FOR MICROARRAYS." Journal of Biological Systems 10, no. 04 (2002): 285–302. http://dx.doi.org/10.1142/s0218339002000664.

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The advent of high-density microarrays has made it possible for scientists to measure the expression levels of thousands of genes simultaneously. Understanding and interpreting the massive volumes of microarray data is necessary to unravel the molecular basis of diseases and will someday lead to medicines tailored for individual genetic profiles. One of the main barriers to realizing the full potential of microarrays today is the need for specialized bioinformatics and knowledge management solutions required to mine the microarray data for biological information. After initial efforts at clust

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Shang, Li. "Energy Saving and Emission Reduction Optimization of Enterprise Hazardous Waste Recycling Management System based on Hybrid Genetic Algorithm." Scalable Computing: Practice and Experience 25, no. 4 (2024): 3033–47. http://dx.doi.org/10.12694/scpe.v25i4.2979.

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This research proposes a new path planning model for hazardous waste recycling transportation to effectively manage the hazardous waste recycling transportation, improving the transportation efficiency, while considering the actual road conditions. The new model adopts the conservation algorithm and hybrid genetic algorithm, which makes the new model better meet the complex needs of hazardous waste recycling. The new approach enables optimal transportation path planning for hazardous waste recycling while ensuring safety and compliance. The results showed that the hybrid algorithm outperformed

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Baranov, Vladimir, and Elnur Aliyev. "Protecting the Management Channel of Robotic Systems." NBI Technologies, no. 1 (August 2019): 6–10. http://dx.doi.org/10.15688/nbit.jvolsu.2019.1.1.

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Automated and robotic systems have an indissoluble connection between computing and physical elements included in them. Today, the representatives of such systems can be found in a wide variety of areas – space, automotive, chemical technology, civil infrastructure, energy, health, manufacturing, transportation, and consumer devices. This class of systems is often considered as cyberphysical systems. The article presents an example of creating a robotic complex, as an element of the CBS, with a secure control system based on the AES encryption algorithm, which is currently the most crypto-resi

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Князев, В. Н., and А. С. Блошкин. "DEVELOPMENT OF A VIRTUAL MACHINE MANAGEMENT SYSTEM FOR AN OPERATING SYSTEM OF SPECIAL USE." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 7, no. 2(25) (2019): 176–85. http://dx.doi.org/10.26102/2310-6018/2019.25.2.021.

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В статье рассмотрены актуальные вопросы и проблемы разработки систем управления виртуальными машинами. В качестве важных проблем выделены проблемы динамической миграции виртуальных машин, проблема хранения конфигурации виртуальной машины. Анализ методов осуществления динамической миграции позволил выявить недостатки существующих алгоритмов. Также были выявлены недостатки хранения конфигурации виртуальной машины в конфигурационном файле. Научная новизна заключается в разработке нового комбинированного алгоритма динамической миграции, отличающегося от известных алгоритмов более высокой гибкостью

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Zhang, Yang, and Ce Wang. "The Management of Educational Talents in Vocational Colleges Based on Wireless Network in the Artificial Intelligence Era." Computational Intelligence and Neuroscience 2022 (June 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/2298139.

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Faced with the AI (artificial intelligence) era, it is both theoretically and practically important to examine the challenges and opportunities that vocational college education in China faces, as well as to actively explore how vocational college education can overcome the challenges and achieve a realistic path. This paper proposes and implements a wireless network-based vocational college talent management system. The main personnel management system primarily completes business operations related to daily personnel file management, while the data mining subsystem mines talent data using th

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VISWANATHAN, LAKSHMI PRABHA, and ELWIN CHANDRA MONIE. "DYNAMIC POWER MANAGEMENT IN AN EMBEDDED SYSTEM FOR MULTIPLE SERVICE REQUESTS." Journal of Circuits, Systems and Computers 14, no. 05 (2005): 987–96. http://dx.doi.org/10.1142/s0218126605002696.

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Power is increasingly becoming a design constraint for embedded systems. Dynamic Power Management algorithms enable optimal utilization of hardware at runtime. The present work attempts to arrive at an optimal policy to reduce the energy consumption at system level, by selectively placing components into low power states. A new, simple algorithm for power management systems involving multiple requests and services, proposed here, has been obtained from stochastic queuing models. The proposed policy is event driven and based on a Deterministic Markov Nonstationary Policy model (DMNSP). The prop

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Novytskyi, I., and Y. Shevchenko. "Distribution ofresourcesin the system of decentralized management." Collection of Research Papers of the National Mining University 75 (December 2023): 97–102. http://dx.doi.org/10.33271/crpnmu/75.097.

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Purpose of work is optimization of processes in a decentralized system during resource distribution among consumers in conditions of its scarcity and incomplete a priori information. Methodology. To achieve the goal, analytical methods were used in combination with methods of simulation modeling of processes that determine the optimal mode of operation of the decentralized system. Research results. The problem of allocation of a limited resource is a typical problem of operations research and, if its parameters are known, it is solved as a conditional optimization problem. However, in a decent

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Minal Deshmukh, Burhanuddin Mal, Avanti Savji, Ved Thorat, Vedashri Patil, and Minal Deshmukh. "Page Replacement Algorithms: A Survey of Performance and Case Studies." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–5. https://doi.org/10.55041/ijsrem39275.

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This system uses paging as part of memory management in a computer's operating system. Page replacement algorithms are responsible for deciding which pages should be replaced when new allocations are required. Paging happens when there is a page fault, and there are insufficient or no free pages available for allocation. Keywords— Operating System, Page Replacement Algorithms, Virtual Memory Management, Page Allocation

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Muriel, Javier Biera, and Abbas Fotouhi. "Electric Vehicle Fleet Management Using Ant Colony Optimisation." International Journal of Strategic Engineering 3, no. 1 (2020): 1–16. http://dx.doi.org/10.4018/ijose.2020010101.

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This research is focused on implementation of the ant colony optimisation (ACO) technique to solve an advanced version of the vehicle routing problem (VRP), called the fleet management system (FMS). An optimum solution of VRP can bring benefits for the fleet operators as well as contributing to the environment. Nowadays, particular considerations and modifications are needed to be applied in the existing FMS algorithms in response to the rapid growth of electric vehicles (EVs). For example, current FMS algorithms do not consider the limited range of EVs, their charging time or battery degradat

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Sarkar, Dr Bikramjit. "AI - Content Recommendation Integrated with Library Management System." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem03297.

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ABSTRACT: The content recommendation system integrated with library management system is a comprehensive solution aimed at modernizing and streamlining various aspects of library operations. Users benefit from features like seamless book browsing, requesting, monitoring of issued books and suggestions for next book based on user activity ensuring a user-friendly experience. Concurrently, administrators can efficiently manage the book inventory, add new titles, and oversee user requests, empowering them with robust control over the library's resources. The system's primary goal is to enhance op

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Kyrylov, S., Ya Sikora, and Yu Riabchun. "DEVELOPMENT OF ADAPTIVE ALGORITHMS OF SWARM INTELLIGENCE IN DESIGN AND MANAGEMENT OF ENGINEERING SYSTEMS." Mechanics And Mathematical Methods 6, no. 2 (2024): 136–46. http://dx.doi.org/10.31650/2618-0650-2024-6-2-136-146.

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The article examines the design and management of engineering systems in the context of growing data volumes in local computer networks. With the development of swarm intelligence, the probability of the existence of the necessary information for managing engineering systems increases, but the possibility of finding it decreases. This creates the need to develop new methods and tools for using adaptive algorithms of swarm intelligence. The purpose of such algorithms is to ensure the ability to process information and find queries with maximum relevance, generating the largest number of search

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Donia, Noha. "Aswan High Dam Reservoir management system." Journal of Hydroinformatics 15, no. 4 (2013): 1491–510. http://dx.doi.org/10.2166/hydro.2013.003.

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The Aswan High Dam Reservoir management system was developed to simulate dam operation under varying boundary conditions taking as example climate change and Millennium Dam construction, and analyze the optimal operation rules of the reservoir taking into account a large number of objectives, including hydropower production and water supply for irrigation purposes. The developed system runs on Windows platforms and comprises three basic modules: a user-friendly graphical interface managing all graphic features, a computational engine where all the algorithms are implemented, and a database and

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Abu-Lebdeh, Ghassan, and Rahim F. Benekohal. "Development of Traffic Control and Queue Management Procedures for Oversaturated Arterials." Transportation Research Record: Journal of the Transportation Research Board 1603, no. 1 (1997): 119–27. http://dx.doi.org/10.3141/1603-16.

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The formulation and solution of a new algorithm for queue management and coordination of traffic signals along oversaturated arterials are presented. Existing traffic-control and signal-coordination algorithms deal only with undersaturated steady-state traffic flow conditions. No practical algorithms are readily available for oversaturated flow conditions. The main idea of the procedure is to manage queue formation and dissipation on system links so that traffic flow is maximized by efficiently using all green time, preventing formation of de facto red, accounting for the non-steady-state cond

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Köhnen, Christopher, Christian Überall, Muttukrishnan Rajarajan, Rudolf Jäger, and Veselin Rakočević. "Autonomous QoS Management and Policing in Unmanaged Local Area Networks." Journal of Computer Networks and Communications 2015 (2015): 1–24. http://dx.doi.org/10.1155/2015/790375.

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The high increase of bandwidth-intensive applications like high definition video streaming in home and small office environments leads to QoS challenges in hybrid wired/wireless local area networks. These networks are often not QoS aware and may contain bottlenecks in their topology. In addition, they often have a hybrid nature due to the used access technology consisting of, for example, Ethernet, wireless, and PowerLAN links. In this paper, we present the research work on a novel autonomous system for hybrid QoS in local area networks, called QoSiLAN, which does not rely on network infrastru

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Kleiman, L. A., and V. I. Freyman. "IMPROVING THE FUNCTIONING RELIABILITY OF THE INFORMATION MANAGEMENT SYSTEM ELEMENTS, USING BUILT-IN DIAGNOSTIC TOOLS." Radio Electronics, Computer Science, Control 1, no. 1 (2021): 158–71. http://dx.doi.org/10.15588/1607-3274-2021-1-16.

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Context. In the modern world, information management systems have become widespread. This make it possible to automate the technological processes of enterprises of various sizes. Many information management systems include wireless and autonomous elements. Autonomy, in this case, means the ability of the system elements to function for a certain time without additional energy supply. In this regard, such a parameter of operational reliability as the battery life of a system element becomes one of the most important. One of the main tools for improving the reliability and fault tolerance of in

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Alwan, Mohammed, and Diyar Saed. "Design and Implement of Key Management System for Public Key Algorithms." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 1 (October 22, 2021): 19–34. http://dx.doi.org/10.55562/jrucs.v27i1.399.

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Design cryptographic system requires some properties like security, speed and other. One of the most important design criteria is the key management system it is considered as another part of the cryptographic system. Good cryptographic systems must have a strong key management systems responsible for generate the key, store and exchange it. Since the security of the system depends on the secrecy of the key not on the algorithm. It becomes important to study and design this part of cryptographic system. In this paper a new key management system was proposed. This system is capable of generatin

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Gaikwad, Gajanan Digambar. "Refresh Rate Identification Strategy for Optimal Page Replacement Algorithms for Virtual Memory Management." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 166–69. http://dx.doi.org/10.22214/ijraset.2021.38770.

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Abstract: Operating system offers a service known as memory management which manages and guides primary memory. It moves processes between disk and main memory during the execution back and forth. The process in which we provisionally moves process from primary memory to the hard disk so the memory is available for other processes. This process is known as swapping. Page replacement techniques are the methods by which the operating system concludes which memory pages to be swapped out and write to disk, whenever a page of main memory is required to be allocated. There are different policies re

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Aleshin, Alexander A., and Sergey S. Kubrin. "USING SHIP ROUTE OPTIMIZATION DURING ICE NAVIGATION IN TERMS OF SAFETY MANAGEMENT SYSTEM." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 14, no. 4 (2022): 546–54. http://dx.doi.org/10.21821/2309-5180-2022-14-4-546-554.

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The main international rules and conventions which set requirements to passage planning process are considered in the paper. A number of factors influencing the choice of ship safe speed in polar waters have been listed. Increasing a volume of merchant shipping in the Russian Arctic region is highlighted. Stable growth of maritime shipping along with development of new oil and gas projects require a detailed study of sea transport routes to ensure efficient export of mineral resources, including liquid hydrocarbons. It is observed that vessels quite often deviate from the recommended routes on

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Huh, Jun-Ho, and Seong-Kyu Kim. "The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies." Sustainability 11, no. 11 (2019): 3184. http://dx.doi.org/10.3390/su11113184.

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Efficient information flow in an intelligent system is vital for effectively controlling the entire system. Currently, intelligent systems are used in many industries related to energy production, sustainable agriculture/transport, and intelligent building/cities. Information technology (IT) and information and communication technologies (ICT) play vital roles in introducing technical or technological innovation in these industries as well as establishing a collaborative network. Also, the digitization of existing systems has been quite effective at creating a sustainable global environment as

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He, Jing. "Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms." Computational Intelligence and Neuroscience 2022 (September 2, 2022): 1–10. http://dx.doi.org/10.1155/2022/3625502.

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In order to make up for the deficiency of a two-dimensional user interface, enhance the visualization of network information, and comprehensively and effectively improve the efficiency of network management, this paper attempts to use virtual reality technology to design the network management system and uses the research results of related fields for reference to carry out the specific practice, providing a new idea for the design and development of the network management system. The automatic topology discovery algorithm is introduced into the network management analysis, and the immersive n

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Dziak, Damian, Dawid Gradolewski, Szymon Witkowski, et al. "Airport Wildlife Hazard Management System." Elektronika ir Elektrotechnika 28, no. 3 (2022): 45–53. http://dx.doi.org/10.5755/j02.eie.31418.

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Aviation reports indicate that between the years of 1988 and 2019 there were 292 human fatalities and 327 injuries that had been reported due to wildlife strikes with airplanes. To minimize these numbers a new approach to airport Wildlife Hazard Management (WHM) is presented in the following article. The proposed solution is based on the data fusion of thermal and vision streams which are used to improve the reliability and adaptability of the real-time WHM system. The system is designed to operate in all environmental conditions and provides an advance information of the fauna presence at the

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Wai, Chew Kuew, Taha Sadeq, and Lee Cheun Hau. "Advanced Adaptive Rule-Based Energy Management for Hybrid Energy Storage Systems (HESSs) to Enhance the Driving Range of Electric Vehicles." Vehicles 7, no. 1 (2025): 6. https://doi.org/10.3390/vehicles7010006.

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The energy storage system (ESS) plays a crucial role in electric vehicles (EVs), impacting their performance and efficiency. While batteries are the standard choice for energy storage, they come with drawbacks like low power density and limited life cycles, which can hinder pure battery electric vehicles (PBEVs). To address these issues, a hybrid energy storage system (HESS) that combines a battery with a supercapacitor provides a more effective solution. The battery delivers consistent power, while the supercapacitor manages peak power demands and regenerative braking energy. This study propo

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Jacobs, John J. L., Inés Beekers, Inge Verkouter, et al. "A data management system for precision medicine." PLOS Digital Health 4, no. 1 (2025): e0000464. https://doi.org/10.1371/journal.pdig.0000464.

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Precision, or personalised medicine has advanced requirements for medical data management systems (MedDMSs). MedDMS for precision medicine should be able to process hundreds of parameters from multiple sites, be adaptable while remaining in sync at multiple locations, real-time syncing to analytics and be compliant with international privacy legislation. This paper describes the LogiqSuite software solution, aimed to support a precision medicine solution at the patient care (LogiqCare), research (LogiqScience) and data science (LogiqAnalytics) level. LogiqSuite is certified and compliant with

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Guzmán Ortiz, Eduardo, Beatriz Andres, Francisco Fraile, Raul Poler, and Ángel Ortiz Bas. "Fleet management system for mobile robots in healthcare environments." Journal of Industrial Engineering and Management 14, no. 1 (2021): 55. http://dx.doi.org/10.3926/jiem.3284.

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Purpose: The purpose of this paper is to describe the implementation of a Fleet Management System (FMS) that plans and controls the execution of logistics tasks by a set of mobile robots in a real-world hospital environment. The FMS is developed upon an architecture that hosts a routing engine, a task scheduler, an Endorse Broker, a controller and a backend Application Programming Interface (API). The routing engine handles the geo-referenced data and the calculation of routes; the task scheduler implements algorithms to solve the task allocation problem and the trolley loading problem using I

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Seleznova, Halyna. "Modelling of marketing management algorithms of related economic systems." Actual problems of innovative economy and law 2023, no. 1-2 (2023): 6–12. http://dx.doi.org/10.36887/2524-0455-2023-1-1.

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In recent decades, the world has been experiencing the modernization of traditional manufacturing and service indus-tries in the global penetration of new information technologies into all spheres of social life. Digitization (or the economy dependent on digital technologies) gives a new impetus to creating new markets, new digital skills, and opportunities in society, business, and the state. Digitization of the economy is a particular stage of the modern development of scientific and technical progress, which is associated with the comprehensive implementation of Internet networks, computer

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An, Xiang Yang, Ji Chun Liu, Yu Le Sun, Gang Li, and Jun Yong Liu. "Load Clustering Based on SVC Algorithm." Advanced Materials Research 1070-1072 (December 2014): 1500–1505. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1500.

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With the development of electric power system, the people pay more attention to demand-side management. Valid for load classification is an important prerequisite for improving demand side management level. Based on common indicators and load clustering algorithms, new SVC algorithm, cluster validity analysis and similarity measurement of the impact of the judgment are proposed based on load clustering method, and finally the effectiveness of the method is demonstrated by an example.

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Jumaa, Bassim Abdulbaki, and Maysoon Allawi Saleem. "Efficient and Effective Computer-based Library Management System." لارك 1, no. 6 (2019): 340–61. http://dx.doi.org/10.31185/lark.vol1.iss6.937.

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EECLMS is Efficient and Effective Computer–based Library database Management System that was developed for and Implement at dentistry collage to meet user unique requirements and preoperational of functional Specification for library manumit with new and special fleetest which cannot be found in other systems. The present of status of requirements is outlined as the basis for describing the problem (Traditional Library Management System) which EECLMS is intended to deal with and solve a database has been design to fit the above requirements using Microsoft/access. Visual basic prog

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Pastukhov, S. S., and K. V. Stelmashenko. "New Approaches to Pricing Management of Transport Services." World of Transport and Transportation 19, no. 6 (2022): 48–60. http://dx.doi.org/10.30932/1992-3252-2021-19-6-7.

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Development of new approaches to formation of analytics mechanisms for the purpose of pricing management of services is an important aspect of increasing the efficiency of transport management processes.Research aimed at improving the tools for determining the optimal parameters of the ratio of quality and price of service for formation of a competitive and efficient tariff policy continues to remain relevant and in demand in modern market conditions. The objective of the study, presented in the article, is to analyse and evaluate the prospects for implementation of the areas to improve the ap

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Garip, Selahattin, and Saban Ozdemir. "Optimization of PV and Battery Energy Storage Size in Grid-Connected Microgrid." Applied Sciences 12, no. 16 (2022): 8247. http://dx.doi.org/10.3390/app12168247.

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This paper proposes a new method to determine the optimal size of a photovoltaic (PV) and battery energy storage system (BESS) in a grid-connected microgrid (MG). Energy cost minimization is selected as an objective function. Optimum BESS and PV size are determined via a novel energy management method and particle swarm optimization (PSO) algorithm to obtain minimum total cost. The MG was designed to use its own energy as much as possible, which is produced from renewable energy resources. Since it is a grid-connected system, it can demand energy from the grid within the determined limit with

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Daneshpour, Negin, and Ahmad Abdollahzadeh Barfourosh. "Dynamic View Management System for Query Prediction to View Materialization." International Journal of Data Warehousing and Mining 7, no. 2 (2011): 67–96. http://dx.doi.org/10.4018/jdwm.2011040104.

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On-Line Analytical Processing (OLAP) systems based on data warehouses are the main systems for managerial decision making and must have a quick response time. Several algorithms have been presented to select the proper set of data and elicit suitable structured environments to handle the queries submitted to OLAP systems, which are called view selection algorithms to materialize. As users’ requirements may change during run time, materialization must be viewed dynamically. In this work, the authors propose and operate a dynamic view management system to select and materialize views with new an

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Beriozko, Alexander, Alexei Lebedev, Anatoly Soloviev, Roman Krasnoperov, and Alena Rybkina. "Intellectual Geoinformation System for Earth Sciences." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 5, 2015): 48. http://dx.doi.org/10.17770/etr2011vol2.966.

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A new technology was elaborated, combining a geoinformation system (GIS) and GIS- oriented algorithmic methods of artificial intellect (AI). Numerous thematic layers for geosciences, obtained from Russian and international scientific sources, were imported into the GIS. Technology and software for integration of AI methods within the GIS in the form of the Centralized Catalogue of Geodata Processing Algorithms (CCGPA) was developed. A GIS visualization subsystem was created to provide interaction between the GIS and its users. It performs geodata layers visualization, map operations, geodata s

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Bilyatdinov, K. Z., E. A. Krivchun, and A. N. Karpov. "Methods for Obtaining Data, Identifying Models and Improving the Management of Organizational Systems Based on Expert Information (In Russ.)." Economics Law Innovaion, no. 1 (March 29, 2024): 67–77. http://dx.doi.org/10.17586/2713-1874-2024-1-67-77.

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Methods and algorithms for obtaining data, identifying models and improving the management of organizational sys-tems based on expert information have been developed. The proposed methods and algorithms allow, under given conditions, to improve management and form integration reserves for the development and improvement of an enter-prise as a highly efficient organizational system operating within given restrictions. Methods, algorithms and recommendations represent a set of new scientifically based methodological solutions in the field of improving management and making management decisions b

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Бешлей, М., А. Прислупський, М. Медвецький та Г. Бешлей. "Інтелектуальна система моніторингу та аналізу трафіку для виявлення атак в програмно-конфігурованих мережах". Information and communication technologies, electronic engineering 2, № 1 (2022): 1–11. http://dx.doi.org/10.23939/ictee2022.01.001.

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Today, the task of monitoring, security, management, traffic prioritization and optimization of the overall load on the network infrastructure is becoming extremely important not only for the corporate sector, but also for mobile and fixed-line operators. Current trends in Internet content services indicate that the requirements for traffic management are unpredictable. Therefore, service providers must implement new algorithms to monitor and analyze network traffic to detect attacks in today's networks, where software can be updated to support changing traffic management and control requireme

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