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Relevant bibliographies by topics / Intelligent Management Objects (IMOs)

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Academic literature on the topic 'Intelligent Management Objects (IMOs)'

Author: Grafiati

Published: 2 June 2025

Last updated: 19 July 2025

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Journal articles on the topic "Intelligent Management Objects (IMOs)"

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Hajar, Maseeh Yasin, and Ahmed Mahmoud Hisham. "Data Integrity and Consistency Challenges in Distributed Database Systems." Engineering and Technology Journal 10, no. 05 (2025): 5077–86. https://doi.org/10.5281/zenodo.15471862.

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With the advent of distributed computing, maintaining data consistency and integrity between geographically remote and logically divided systems has become one of the most significant challenges for system designers and database architects. Distributed databases, though they offer higher availability, scalability, and local autonomy, create problems in maintaining synchronized and consistent states of data. This work covers the Database Integrity (DDBI) project—a pioneering endeavor sponsored by Rome Laboratory and conducted at SRI International—where innovative methods such as rule-based enforcement, active trigger algorithms, and intelligent object versioning were presented to address integrity in distributed object-oriented databases. Apart from the results of the DDBI project, this paper addresses root consistency and transaction models like the Two-Phase Commit (2PC) protocol and examines current replication methods in large-scale data environments. A theoretical classification of consistency models is presented to aid in selecting the most appropriate frameworks for different system needs. Moreover, the study explores the implications of Intelligent Management Objects (IMOs) to integrity and discusses consistency-availability trade-offs. Drawn statistics from comparative studies and simulations confirm the effectiveness of the proposed methods. Finally, this paper provides an organized overview of the techniques reshaping the future of distributed database systems and the need for adaptive, robust, and intelligent design paradigms.  

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Liljegren, Lovisa. "Easier material management - at what cost?" Nordic Journal of Library and Information Studies 3, no. 2 (2022): 33–53. http://dx.doi.org/10.7146/njlis.v3i2.128547.

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Intelligent Material Management System, IMMS, was developed in a collaboration between Lyngsoe Systems, a commercial company, and public libraries in Aarhus and Copenhagen, Denmark, with the aim to reduce the time staff spend on managing library materials. The aim of this article is to shed light on what IMMS means for the library practices and hence for the librarian profession. Two research questions will guide the analysis: How do librarians and IMMS interplay at the public library in Copenhagen, Denmark? How does the implementation of IMMS impact the library practices at the branch libraries in Copenhagen, Denmark? With the theoretical lens of practice theory, the article shows how new norms and rules as well as new tools and objects are implemented with IMMS. Librarians need to be able to work with the new objects and tools, the new norms and to create an inspiring library room for library users. Their relation to collection management is changed, and their ability to evaluate materials is not needed in the same way when it comes to selection of titles for the collection. This sometimes creates a tension between the librarian and the system, especially when the librarians’ role in the practice is to perform the decision-making by the algorithm, and not to use their skills to evaluate resources.

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Fakas, G., and B. Karakostas. "A workflow management system based on intelligent collaborative objects." Information and Software Technology 41, no. 13 (1999): 907–15. http://dx.doi.org/10.1016/s0950-5849(99)00046-4.

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Horváth, László. "Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 9 (2007): 1107–13. http://dx.doi.org/10.20965/jaciii.2007.p1107.

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Engineering for design, analysis, and manufacturing planning of products has been integrated with other product related engineering activities such as control of manufacturing equipment, marketing, sales and customer services in product lifecycle management systems (PLM). This challenging complex of activities would be impossible without the support of recent information technology (IT). Descriptions of various engineering objects have been integrated into very complex product models. Main area of development in the next future is enhanced assistance of decisions in product modeling. Approach to high level of modeling and application of the highly integrated product model for simulation will be the virtual intelligent space where all outside and inside effects are reacted. In order to join this tendency, this paper introduces a methodology for integrated application of analysis of behaviors of modeled objects, adaptive actions for controlled modifications of engineering objects, and definition of optimal sets of parameters. In order to establish a virtual intelligent space, sensor signals in physical intelligent space are replaced by received change information and actuators are replaced by adaptive actions. In this paper, new concept of intelligent virtual product space (IVPS) as integrated description of physical product and other objects and processes is introduced. Following this, a method is proposed to include computational intelligence in product models in the form of control of behaviors of modeled product objects. Change management methods are explained in close connection with behavior analysis. Finally, some methods for control of the work of a virtual intelligent product space are detailed.

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Kalandarov, P. I., Kh Kh Abdullaev, A. N. Khaitov, Kh S. Sharifov, and G. F. Murodova. "Modeling of biotechnological objects." BIO Web of Conferences 108 (2024): 25005. http://dx.doi.org/10.1051/bioconf/202410825005.

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The article discusses the system of modeling biotechnological objects and biogas production in the process of fermentation of various agricultural wastes. The complexity of automation of biotechnological processes, which consists in the lack of sufficient knowledge about the phenomena associated with the process of fermentation and the synthesis of target materials, is shown. Solutions to control problems using intelligent methods, intelligent control systems, based on fuzzy logic and on the basis of on the basis of neural network technologies, which have proven themselves in the control of complex objects with parameters that vary widely, as well as the analysis of algorithms for the operation of programmable logic controllers that perform the functions of regulators in the systems of operational control of complex processes, adaptive neuro-fuzzy architecture. Distributed in management decision support systems, it is made in the form of a six-layer neural structure, i.e. systems with neuro-fuzzy regulators, are able to largely meet the modern requirements of the designed systems, as a result of which the systems, using the technology of synthesis of intelligent control algorithms, can optimize complex circuits of automatic control systems.

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Katerna, Olga. "Research methodology of traffic flow and infrastructure objects intelligent management." Socio-Economic Research Bulletin, no. 3(67) (October 30, 2018): 80–90. http://dx.doi.org/10.33987/vsed.3(67).2018.80-90.

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Hryhorovych, Viktor. "Analysis of Metrics for Intelligent Information Systems." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 9 (June 10, 2021): 96–111. http://dx.doi.org/10.23939/sisn2021.09.096.

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The problem of constructing metrics is crucial for solving the problem of quantitative evaluation of both systems of objects of arbitrary nature as a whole and the relationships that describe the connections between the components of these systems. Modern information systems simulate subject areas that contain objects and systems of complex structure. The network model is most appropriate for describing the world around it: it reflects objects and systems of objects of arbitrary nature that interact with each other. In fact, any system can be described using a network model. Hierarchical models should be singled out as a kind of network models of complex systems. Hierarchical models are very widespread and are used in various fields — in biology, sociology, economics, technology, management, etc. — each industry has a set of its own hierarchical models. The paper analyzes metrics suitable for evaluating intelligent information systems, in particular — systems that are based on ontologies, non-relational (hierarchical) databases, non-normalized (nested) relationships.

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Tabakaeva, Valeria A., Igor N. Karmanov, and Vladimir R. An. "FEATURES OF INTELLIGENT INFORMATION SECURITY MANAGEMENT SYSTEMS FOR CRITICAL INFORMATION INFRASTRUCTURE OBJECTS." Interexpo GEO-Siberia 6, no. 2 (2020): 99–104. http://dx.doi.org/10.33764/2618-981x-2020-6-2-99-104.

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The article discusses the problem of using intelligent systems in managing information security of critical information infrastructure objects. Currently, the development of information technologies reached the point of transition to widespread use of various intelligent systems. At the same time, their application is also noted in the sphere of ensuring the security of significant objects of critical information infrastructure of the Russian Federation. Cybersecurity parameter management systems have a special place as fundamental elements for ensuring security during operation, as well as responding to external and internal incidents with the required efficiency and speed. In the course of the research, we select ways to solve such problems as choosing a threat model and protection system architecture for an object of critical information infrastructure of the Russian Federation.

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P., Nagaraj, Y.Ashwini, and B.Madhuri. "A Deep Learning-Based Intelligent Waste Management System for Trash Classification." Recent Trends in Data Science Technology 1, no. 1 (2025): 8–15. https://doi.org/10.5281/zenodo.14929825.

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<em>The antiquated garbage system now provides improved time monitoring and facilitates better waste management because of the advancements in artificial intelligence (AI). The goal of this article is to use a deep learning model based on Tensor Flow to create an intelligent sterile management system. It can identify and classify objects in real time. Paper, plastic, and metal debris are kept apart from other types of garbage in the bin's multiple sections. A trained object recognition model and the Tensor Flow framework are used for object detection and garbage classification. This trash detection model is trained on garbage photos to provide a frozen inference network that can be used to identify objects using a camera.</em>

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Rodriguez, Inmaculada, Anna Puig, and Marc Esteva. "Cross-platform management of intelligent objects behaviors in serious virtual environments." Computer Animation and Virtual Worlds 22, no. 4 (2011): 343–50. http://dx.doi.org/10.1002/cav.423.

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Dissertations / Theses on the topic "Intelligent Management Objects (IMOs)"

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Bishop, Sandra Kay. "Access rights for intelligent data objects." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9901.

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Sewczwicz, Richard P. "Form definition language for intelligent data objects." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9953.

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Hansen, Steven C. "A model of an abstract intelligent entity as a means of comparison of Intelligent Data Objects (IDO) and their Management System (IDOMS) to biological organisms and ecological systems." 1987. http://hdl.handle.net/2097/22394.

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Books on the topic "Intelligent Management Objects (IMOs)"

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Odincov, Boris. Models and intelligent systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used.  The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discusses difficulties in the development of the classical approach, associated with identifying the meaning of words, phrases, text, and formulating thoughts. The analysis of problems arising in the play of imagination and insight, machine understanding of natural language texts, play, verbalization and reflection.  The third Chapter contains examples of the development of intelligent information systems and technologies in practice of management of economic objects. Theoretical bases of construction of information robots designed to support the task hierarchy of the knowledge base and generating control regulations. The technology of their creation and application in the management of the business efficiency of enterprise business processes and its investment activities.  Focused on researchers and developers, AI and intelligent information systems, as well as graduate students and faculty in related academic disciplines.

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Andreychikov, Aleksandr, and Ol'ga Andreychikova. Intelligent information systems and artificial intelligence methods. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1009595.

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The textbook discusses the methods of artificial intelligence and their application to solve problems from various subject areas. Methods of acquisition, representation and processing of knowledge in intelligent systems, as well as technologies for designing and implementing intelligent systems, are described. Special attention is paid to the application of intelligent systems for the selection of collective solutions, the design of complex systems( objects), the analysis and forecasting of the enterprise. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students enrolled in groups of training master's degree program "Management in technical systems", "Computer and information science", "computer science", "engineering and technology land transport", "engineering and construction technology", "Photonics, instrumentation, optical and biotechnical systems and technology", "aerospace engineering", "engineering and technologies of shipbuilding and water transport", and also in the areas of "automation of technological processes and productions", "mechatronics and robotics".

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Akşit, Mehmet. Objects, Components, Architectures, Services, and Applications for a Networked World: International Conference NetObjectDays, NODe 2002 Erfurt, Germany, October 7-10, 2002 Revised Papers. Springer-Verlag Berlin Heidelberg, 2003.

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Orlova, Dar'ya, Sergey Kochedykov, Vyacheslav Chertov, and Viktor Novosel'cev. LANGUAGE TOOLS FOR CREATING INFORMATION TECHNOLOGIES FOR INTELLIGENT DECISION-MAKING SUPPORT. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2129777.

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The monograph deals with the problem of choosing language tools for the creation of information technologies of intellectual decision support in the management of critical objects of the social sphere. It includes seven chapters: introductory chapter - system understanding of information technology of intellectual decision support; language of matrices; logical languages (calculus of statements and predicate calculus); language of semantic networks; language of fuzzy sets; language of frames; language of artificial neural networks; language of mathematical optimization. Examples of using these language tools to create information technologies for intellectual support of decision-making in various problem areas are given. It is oriented on students studying on the educational program of higher education: 09.03.02 - "Information systems and technologies" on a profile "Applied information systems and technologies", and also postgraduate students, oriented on protection of dissertations on a specialty: 1.2.3 - "Management in organizational systems". The material of the monograph will be useful for specialists dealing with practical issues of development and implementation of information technologies.

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Kramarov, Sergey, Vladimir Khramov, Elena Grebenyuk, and Anatoly Bocharov. Fundamentals of the ergotechnical approach to the formation of an electronic educational environment. Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02086-9.

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The monograph deals with the problems of analysis and synthesis of electronic information and learning environment as an ergatic system. The issues of creation, development and evaluation of such systems, as well as information support of the process of building and using artificial intelligence, including in the protection of information, are considered. The monograph provides theoretical justifications for the research of information objects, which reveals the mechanism of constructing a mathematical model of the educational process at the university and explains the understanding of the education system as a system of systems, as well as information processes associated with it. The research presented in the monograph is the basis for the creation of new and effective robotic organizational and organizational-technical systems in education. The monograph is intended for researchers and teachers, postgraduates, undergraduates and engineers specializing in the field of educational management, including intelligent adaptive control of complex robotic systems.

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Book chapters on the topic "Intelligent Management Objects (IMOs)"

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Chen, Tao, Arif Khan, Markus Schneider, and Ganesh Viswanathan. "iBLOB: Complex Object Management in Databases through Intelligent Binary Large Objects." In Objects and Databases. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16092-9_10.

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Bakhmut, Aleksey D., Aleksey V. Krylov, Margaret A. Krylova, Michael Yu Okhtilev, Pavel A. Okhtilev, and Boris V. Sokolov. "Proactive Management of Complex Objects Using Precedent Methodology." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91189-2_29.

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Tanaka, Katsuaki, and Koichi Hori. "Finding Diachronic Objects of Drifting Descriptions by Similar Mentions." In Knowledge Management and Acquisition for Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30639-7_4.

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Zhang, Yingfeng, George Huang, T. Qu, and Oscar Ho. "Agent-Based Smart Objects Management System for Real-Time Wireless Manufacturing." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10430-5_127.

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Barkalov, Sergei, Vladimir Burkov, and Pavel Kurochka. "Designing Systems of Group Stimulation in the Management of Energy Complex Objects." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19868-8_6.

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Sałabun, Wojciech, and Paweł Ziemba. "Application of the Characteristic Objects Method in Supply Chain Management and Logistics." In Recent Developments in Intelligent Information and Database Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31277-4_39.

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Sokolov, B., A. Pavlov, S. Potriasaev, and V. Zakharov. "Methodology and Technologies of the Complex Objects Proactive Intellectual Situational Management and Control in Emergencies." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50097-9_24.

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Tasaka, Yuki, Hikaru Ichimaru, Sakae Yamamoto, Makoto Sato, Takehiko Yamaguchi, and Tetsuya Harada. "Analysis of Differences in the Manner to Move Objects in a Real and Virtual Space." In Human Interface and the Management of Information. Information in Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22649-7_6.

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Dukkardt, A. N., A. A. Lezhebokov, and D. Yu Zaporozhets. "Informational System to Support the Design Process of Complex Equipment Based on the Mechanism of Manipulation and Management for Three-Dimensional Objects Models." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18476-0_7.

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Morales Lluvia, Castillo Luis, Fernandez-Olivares Juan, and Gonzalez-Ferrer Arturo. "Building Learning Designs by Using an Automatic Planning Domain Generation: A State-Based Approach." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-893-9-130.

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A Learning Design definition under the IMS-LD standard is a complex task for the instructor because it requires a lot of time, effort and previous knowledge of the students group over which will be defined the knowledge objectives. That is why, taking advantage from diffusion of learning objects labeling using IMS-MD standard in distance learning field, we have proposed to realize a knowledge engineering process, represented as an algorithm, with learning objects labels and user models to automaticaly define a domain that will be used by an intelligent planner to build a learning design. This learning design will be finally implemented in the ILIAS Learning Management System.

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Conference papers on the topic "Intelligent Management Objects (IMOs)"

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Zhang, Wenbo, Lei He, Tao Shi, et al. "Research on Key Technologies of Intelligent Management Platform for Medical Care Objects Based on Internet of Things and Digital Twins." In 2024 IEEE 9th International Conference on Data Science in Cyberspace (DSC). IEEE, 2024. https://doi.org/10.1109/dsc63484.2024.00018.

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Malyar, Mykola, Marianna Sharkadi, and Nelli Malyar-Gazda. "Modeling the Management of Objects with Complex Formalized Information." In 2022 IEEE 3rd International Conference on System Analysis & Intelligent Computing (SAIC). IEEE, 2022. http://dx.doi.org/10.1109/saic57818.2022.9923002.

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Unterberger, Florian, and Robert Singer. "Actor Based Business Process Automation via Intelligent Business Objects." In S-BPM ONE '17: Conference on Subject-orientied Business Process Management. ACM, 2017. http://dx.doi.org/10.1145/3040565.3040569.

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Orosz, Istvan, and Tamas Orosz. "Change management and workflow processing using Dynamics AX objects." In 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2012. http://dx.doi.org/10.1109/sisy.2012.6339523.

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Romero, Francisco P., Mateus Ferreira-Satler, Jose A. Olivas, Manuel E. Prieto-Mendez, and Victor H. Menendez-Dominguez. "A fuzzy-based recommender approach for learning objects management systems." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121786.

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Menendez-Dominguez, Victor H., Alfredo Zapata, Manuel E. Prieto-Mendez, Cristobal Romero, and Jesus Serrano-Guerrero. "A similarity-based approach to enhance learning objects management systems." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121788.

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Carrara, Gianfranco, Antonio Fioravanti, and Gabriele Novembri. "Knowledge-based System to Support Architectural Design - Intelligent objects, project net-constraints, collaborative work." In eCAADe 2001: Architectural information management. eCAADe, 2001. http://dx.doi.org/10.52842/conf.ecaade.2001.080.

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Zelenkauskaite, Asta, Nik Bessis, Stelios Sotiriadis, and Eleana Asimakopoulou. "Disaster Management and Profile Modelling of IoT Objects: Conceptual Parameters for Interlinked Objects in Relation to Social Network Analysis." In 2012 4th International Conference on Intelligent Networking and Collaborative Systems (INCoS). IEEE, 2012. http://dx.doi.org/10.1109/incos.2012.26.

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Zu, Qiaohong, and Hui Wang. "The application study in business process management based on intelligent objects technology." In 2010 5th International Conference on Pervasive Computing and Applications (ICPCA). IEEE, 2010. http://dx.doi.org/10.1109/icpca.2010.5704121.

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Abbasifard, Mohammad Reza, Hassan Naderi, Omid Isfahani Alamdari, and Ali Jafari. "New method for management of moving objects trajectories in intelligent transportation systems." In 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI). IEEE, 2015. http://dx.doi.org/10.1109/kbei.2015.7436094.

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