Academic literature on the topic 'New system management algorithms'

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Journal articles on the topic "New system management algorithms"

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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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Dissertations / Theses on the topic "New system management algorithms"

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Magoč, Tanja. "New algorithms for optimal portfolio selection." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Wang, Zhuding. "Distribution system planning a set of new formulations and hybrid algorithms /." online access from Digital Dissertation Consortium access full-text, 2000. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?9994047.

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Nes, Nicolaas Johannes. "Image database management system[s] design considerations, algorithms and architecture." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2000. http://dare.uva.nl/document/55891.

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Rowlinson, Michael C. "Cadburys' new factory system, 1879-1919." Thesis, Aston University, 1987. http://publications.aston.ac.uk/12213/.

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This thesis examines the reasons for Cadburys' move from a city centre site to a greenfield site in Bournville in 1879 and the subsequent development of the factory and the Bournville community. The founding of the Bournville Village Trust by George Cadbury is discussed in relation to the Garden City movement. The welfare and personnel management policies which Cadburys adopted in the 1900s are considered in relation to welfarism in general, especially in the United States. The extent to which the idea of a `Quaker employer' can explain Cadburys policies is questioned both methodologically and
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Mayer, János. "Stochastic linear programming algorithms : a comparison based on a model management system /." [S.l.] : [s.n.], 1998. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=9056991442.

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Goeke, Dominik [Verfasser], and Oliver [Akademischer Betreuer] Wendt. "Emerging Trends in Logistics: New Models and Algorithms for Vehicle Routing / Dominik Goeke ; Betreuer: Oliver Wendt." Kaiserslautern : Technische Universität Kaiserslautern, 2018. http://d-nb.info/116822943X/34.

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Gozluklu, Burak. "A new project management system dynamics model and simulator." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113517.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 56-57).<br>Simulators generated from project management system dynamics models are exercised for training the future project managers. In today's' high dynamic, vibrant and complex markets, the models should incorporate more business dynamics and also provide more tools to the players who can flexibly steer in the project games. Along with that objective, this study brings new dynami
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Brandao, Jose Carlos Soares. "A decision support system and algorithms for the vehicle routing and scheduling problem." Thesis, Lancaster University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238909.

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Madgwick, Sebastian O. H. "AHRS algorithms and calibration solutions to facilitate new applications using low-cost MEMS." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681552.

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Microelectromechanical System (MEMS) technology is advancing rapidly. Gyroscopes, accelerometers and magnetometers, also referred to as an Inertial Measurement Unit (IMU), has traditionally been associated with aerospace and industrial robotics but is now within every smart phone. The proliferation of these low-cost devices has facilitated countless new applications with many more still unrealised. This dissertation presents work towards this end. A significant contribution of this work was the development of novel Attitude and Heading Reference System (AHRS) algorithms that fuse together sens
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Björk, Christoffer, and George Newbury. "Administrative management system : Complementing an existing system with new functionality and increased efficiency." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84359.

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This thesis is about how we delivered a product that eases maintenance and support of the client Ninetech’s system ServeIT. The product provides a website which has the purpose of providing an easy way to perform actions and show relevant information in a meaningful way. The functionalities that the product provides is showing all opticians within the different organizations in ServeIT and rebuilding search indexes when a product is added or removed by a supplier or optician. The specified requirements imposed by Ninetech were all implemented, and the final product is today used within their p
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Books on the topic "New system management algorithms"

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Cevelev, Aleksandr. Material management of railway transport. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064961.

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In the monograph reviewed the development of the inventory management of railway transport in the new economic environment of market economy. &#x0D; According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restructuring process under the corporate changes of JSC "RZD", positioned value system of the logistics of railway transportation, and developed a classification model used logistical resources. &#x0D; Evaluation of activity of structural divisions of Russian Railw
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Cevelev, Aleksandr. The economy and material management on a railway transport. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1085329.

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In the textbook in an accessible form presented and discussed the development of the economy and the inventory management of railway transport in the new economic environment. For the first time in Russian literature, made a theoretical attempt at a comprehensive review of the effectiveness of, and satisfaction of needs in material resources structural divisions, subsidiaries and affiliates of JSC "RZD". According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restruc
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Varlamov, Oleg. 18 examples of mivar expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert system
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Inc, Insight Information, ed. Canada's new blood management system. Insight Press, 1997.

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Harbron, Thomas R. File systems: Structures and algorithms. Prentice-Hall International, 1988.

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Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th
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Division, United States General Accounting Office Accounting and Information Management. District of Columbia: New financial management system. The Office, 1999.

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Fedorovich, Tat'yana, Natal'ya Kubrak, S. K. Tevs, and A. V. Dmitrenko. Organization and management of a private fleet of freight cars: an economic approach. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1860935.

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The monograph discusses theoretical and practical issues related to the completion of the implementation of the introduction of new forms of ownership in the formation of the railway holding JSC "Russian Railways". The organizational and economic results of the structural reform of railway transport in Russia are analyzed in comparison with the experience of modern reform of foreign railway transport. The variants of transformation of the modern cargo transportation management system in the new economic conditions are proposed.&#x0D; The main results of the study of modern economic and organiz
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May, William B. Building emulation computer program for testing of energy management and control system algorithms. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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May, William B. Building emulation computer program for testing of energy management and control system algorithms. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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Book chapters on the topic "New system management algorithms"

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Swayamsiddha, Swati, Smita Parija, Sudhansu Sekhar Singh, and Prasanna Kumar Sahu. "Bio-Inspired Algorithms for Mobile Location Management—A New Paradigm." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3156-4_4.

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Lakshmi, K. V. N., Y. Fathima, R. Ravichandran, and N. Sathyanarayana. "An Empirical Study on Recruitment Management Systems: Start of a New Era." In Applications of Emerging Technologies and AI/ML Algorithms. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1019-9_34.

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Randriantsoa, Ando Ny Aina, Ali Hamada Damien Fakra, Manitra Pierrot Ranjaranimaro, Mohamed Nasroudine Mohamed Rachadi, and Jean Claude Gatina. "New Management Algorithms for Smart Electricity Network: Designing and Working Principles." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4299-6_55.

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Deuse, Jochen, René Wöstmann, Vanessa Weßkamp, David Wagstyl, and Christoph Rieger. "Digital Work in Smart Production Systems." In New Digital Work. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26490-0_3.

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AbstractOn the one hand, Industry 4.0 provides possibilities to address arising challenges such as globalisation, individualisation and shortening product lifecycles. On the other hand, it also increases changes and challenges in planning and operation processes of production systems.The paper discusses the changes in digital work in the areas of planning, operating and improving smart production systems. Current research approaches show that especially in planning processes and supportive tasks a high dynamic is evident, but also the work on the shop floor is changing. Automation technology a
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Riahi, Sara, and Ali Elhore. "Approaches and Algorithms for Resource Management in OFDMA Access Mode: Application to Mobile Networks of New Generation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11928-7_6.

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Razmjooy, Navid, Danial Bahmanyar, V. Rajinikanth, and Gabriel Gomes de Oliveira. "A New Home Energy Management System for Smart Home Using Improved Multi-objective Antlion Optimization Algorithm." In Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04435-9_6.

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Zhao, Xiaoguang. "A Method and Path for Predicting the Digital Transformation of New Agricultural Management Entities Based on Artificial Intelligence Algorithms." In Learning and Analytics in Intelligent Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69457-8_36.

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H. El-Saba, Muhammad. "Combining Supervisory Control and Data Acquisition (SCADA) with Artificial Intelligence (AI) as a Video Management System." In Intelligent Video Surveillance - New Perspectives. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.104766.

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The latest Video management systems (VMS) software relies on CCTV surveillance systems that can monitor a larger number of cameras and sites more efficiently. In this paper, we study the utilization of SCADA to control a network of surveillance IP cameras. Therefore, the video data are acquired from IP cameras, stored and processed, and then transmitted and remotely controlled via SCADA. Such SCADA application will be very useful in VMS in general and in large integrated security networks in particular. In fact, modern VMS are progressively doped with artificial intelligence (AI) and machine l
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Vargas-Vera, Maria. "The Implementation of DSSim." In Information Retrieval and Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch053.

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This paper presents the decisions taken during the implementation of DSSim (DSSim stands for Similarity based on Dempster-Shafer) our multi-agent ontology mapping system. It describes several types of agents and their roles in the DSSim architecture. These agents are mapping agents which are able to perform either semantic or syntactic similarity. Our architecture is generic as no mappings need to be learned in advance and it could be easily extended by adding new mapping agents in the framework. The new added mapping agents could run different similarity algorithms (either semantic or syntact
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Pillai, Nagarajan Deivanayagam, Lathamaheswari Malayalan, Said Broumi, Florentin Smarandache, and Kavikumar Jacob. "New Algorithms for Hamiltonian Cycle Under Interval Neutrosophic Environment." In Advances in Data Mining and Database Management. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1313-2.ch004.

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A cycle passing through all the vertices exactly once in a graph is a Hamiltonian cycle (HC). In the field of network system, HC plays a vital role as it covers all the vertices in the system. If uncertainty exists on the vertices and edges, then that can be solved by considering fuzzy Hamiltonian cycle. Further, if indeterminacy also exist, then that issue can be dealt efficiently by having neutrosophic Hamiltonian cycle. In computer science applications, objects may not be a crisp one as it has uncertainty and indeterminacy in nature. Hence, new algorithms have been designed to find interval
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Conference papers on the topic "New system management algorithms"

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Xiong, Yihong, Fan Pan, Xiang Chen, Guoyao Wu, and Xiaoying Huang. "Research on Reinforcement Learning Based Decision Support Algorithm for Power Marketing Atomic Data Management." In 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF). IEEE, 2024. https://doi.org/10.1109/npsif64134.2024.10883183.

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Hatch, Steven R., David L. Stonecipher, Michael Willer, Philip Yu, and Scott A. Borchardt. "Real World Experiences with a New Cooling Water Automation System." In CORROSION 2003. NACE International, 2003. https://doi.org/10.5006/c2003-03075.

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Abstract A comprehensive monitoring and control package has been deployed at several industrial and HVAC open recirculating cooling water systems over the past two years. Use of this package has resulted in improved heat transfer and extended equipment life through 24/7 control of the three main challenges encountered in cooling water systems: scale and particulate deposition, microbiological growth, and corrosion. Automation of this “cooling water triangle” utilizes new fluorescent-based sensing technologies that detect actual system performance and turn the data into knowledge via proprietar
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Xu, Wei, Dominique Gruyer, and Sio-Song Ieng. "BeliefTrack: A New Framework for Improving SORT-Like Tracking Algorithms with Multi-Feature Association and Confidence Management." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919990.

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Dumitrascu, Alexandru. "CONTROL SYSTEM FOR GREENHOUSES USING INDUSTRIAL NETWORKED DEVICES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s07.05.

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The modern monitoring and control systems that are currently used in most fields are based on intelligent algorithms, distributed management systems, and a new generation of communication buses. For the monitoring and control of the processes inside a greenhouse, the use of sophisticated algorithms or complex devices is not required. However, to make the activity more efficient and increase the production of a greenhouse, a proposed solution is to use data management and control system such as PLC and HMI devices, which are interconnected using industrial bus and communication protocol � Profi
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Blemel, Ken G. "Reactive Prognostic Management of Corrosion with Autonomous Sensors." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00294.

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Abstract This paper presents a new technology that holds promise for use in idealized "futuristic" systems for in-situ corrosion detection and remediation. New technologies are needed as recent studies show the U.S. Government spends up to $125B per year to detect, protect, and repair damage caused by corrosion. This article is a report on how the US Naval Air Systems Command (NAVAIR) has initiated several Health Usage Monitoring (HUM) and Sentient Health Management (SHM) programs to study and combat chemical corrosion. Because of the corrosive nature of the naval environment, NAVAIR is pursui
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Sheldon, Jeremy, David Kasper, and Mark Davis. "A Multilayered Approach for Enhancing Rotorcraft Drive System Diagnostics." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9530.

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The Sikorsky Aircraft Corporation (SAC) and the U.S. Army Aviation Development Directorate (ADD) - Aviation Applied Technology Directorate (AATD) are jointly sponsoring the Capability-Based Operations and Sustainment Technology-Aviation (COST-A) program. The objective of COST-A is to demonstrate an integrated set of high-value diagnostics, prognostics, and system health management technologies that reduce the maintenance burden, without sacrificing safety, of six different rotorcraft systems, including the drivetrain. In general, existing rotorcraft health and usage monitoring systems (HUMS) s
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Ferguson, Eric L., Toby F. Dunne, Steve Potiris, Suchet Bargot, and Marco Castillo. "Atmospheric Corrosion Detection and Management with AI." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-18087.

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Abstract Atmospheric corrosion is the biggest asset integrity threat to offshore Oil and Gas (O&amp;G) platforms in the Gulf of Mexico (GoM). Manual inspection of an offshore platform’s topside equipment is costly, time-consuming, and labor-intensive. Moreover, manual inspection findings are subjective and provide incomplete asset coverage, leading to increased risk of unplanned shutdowns due to missed repairs. Computer vision and machine learning algorithms can be used to detect and classify corrosion, allowing for the objective and comprehensive management of corrosion across a facility. Det
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Turovskiy, Yaroslav Aleksandrovich, Evgenii Aleksandrovich Kiselev, and Sergei Viktorovich Borzunov. "New Algorithms of Generation of Mathematical Models of Electroencephalogram Signals." In 2022 15th International Conference Management of large-scale system development (MLSD). IEEE, 2022. http://dx.doi.org/10.1109/mlsd55143.2022.9934604.

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Bahrbegi, H., Ahmad Habibizad Navin, Amir Azimi Alasti Ahrabi, M. K. Mirnia, and A. Mollanejad. "A new system to evaluate GA-based clustering algorithms in Intrusion Detection alert management system." In 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/nabic.2010.5716289.

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Yue-ming, Chen, Geng Hui, and Sheng Gang. "Emergency Management System for Major Traffic Accidents Based on New Model and Algorithms." In 2009 International Forum on Computer Science-Technology and Applications. IEEE, 2009. http://dx.doi.org/10.1109/ifcsta.2009.212.

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Reports on the topic "New system management algorithms"

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
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Christopher, Lauren, Stanley Chien, Yaobin Chen, Mei Qiu, William Reindl, and Liya Koshy. Anomaly Detection in Traffic Patterns Using the INDOT Camera System. Purdue University, 2025. https://doi.org/10.5703/1288284317778.

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The Transportation and Autonomous Systems Institute (TASI) of Purdue University Indianapolis (PUI) and the INDOT Traffic Management Center worked together to develop a system that monitors traffic conditions using INDOT CCTV video feeds. Computer vision-based traffic anomaly detection has been studied for the past 20 years, and a thorough state-of-the-art analysis was produced in a recent survey paper. Although AI has contributed to improving anomaly detection, several major challenges remain, such as tracking errors, illumination, weather, occlusion handling, camera pose, and perspective. In
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Pound, B. G. GRI-99-0000 Gap Analysis of the GRI Research Program on Internal Corrosion. Pipeline Research Council International, Inc. (PRCI), 1999. http://dx.doi.org/10.55274/r0010720.

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Extensive information on the corrosion of steel in aqueous CO2 systems is now available from this program and numerous other sources. This information was reviewed to identify what research has been performed and what research remains to be undertaken to develop a expert system/risk management program. Four areas were examined: corrosion mechanisms, mitigation strategies, monitoring techniques, and models/risk assessment. There were five gaps in mechanisms (two for bacteria and one each for flow rate/chloride concentration, hydrocarbons, and organic acids) and four gaps in mitigation (antibiof
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Quarry, Mike. PR-462-143703-R01 Development and Evaluation of Guided Wave Structural Health Monitoring for Buried Pipe. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011594.

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Excavations to inspect buried piping are often costly and risk damaging other plant assets during the digging. Some utilities have used permanently installed guided wave sensors to monitor piping condition and reduce the excavations. The project that is the subject of this report has two objectives-to evaluate the current state-of-the-art and to create a test bed for vendors to improve their technology and data analysis algorithms. Understanding the state-of-the-art will enable utilities to effectively use guided wave structural health monitoring in support of their underground piping aging ma
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May, William B., and Cheol Park. Building emulation computer program for testing of energy management and control system algorithms. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3291.

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Danylchuk, Hanna B., and Serhiy O. Semerikov. Advances in machine learning for the innovation economy: in the shadow of war. Криворізький державний педагогічний університет, 2023. http://dx.doi.org/10.31812/123456789/7732.

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This preface introduces the selected and revised papers presented at the 10th International Conference on Monitoring, Modeling &amp; Management of Emergent Economy (M3E2 2022), held online in Ukraine, on November 17-18, 2022. The conference aimed to bring together researchers, practitioners, and students from various fields to exchange ideas, share experiences, and discuss challenges and opportunities in applying computational intelligence and data science for the innovation economy. The innovation economy is a term that describes the emerging paradigm of economic development that is driven by
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Rennie, Michael W. Extension of Computer Based Algorithms by Operator Analysts and Management System. Bragg-Cell Receiver Study. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada196502.

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