15 research outputs found

    Collaborative Environments. Considerations Concerning Some Collaborative Systems

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    It is obvious, that all collaborative environments (workgroups, communities of practice, collaborative enterprises) are based on knowledge and between collaboration and knowledge management there is a strong interdependence. The evolution of information systems in these collaborative environments led to the sudden necessity to adopt, for maintaining the virtual activities and processes, the latest technologies/systems, which are capable to support integrated collaboration in business services. In these environments, portal-based IT platforms will integrate multi-agent collaborative systems, collaborative tools, different enterprise applications and other useful information systems.collaboration, collaborative environments, knowledge management, collaborative systems, portals, knowledge portals, agile development of portals

    About the Generalized Reasoning Methods and their Use in Semiotic Systems

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    In computational semiotics the problem is to emulate a semiosis cycle within a digital computer. This needs the construction of intelligent systems, able to perform intelligent behavior, such as sensorial perception, world modeling, value judgement and behavior generation. These intelligent systems could be generally implemented through object networks and the basic functions mentioned above could be obtained by generalization of some elementary knowledge operators. Based on the three main reasoning methods, deduction, induction and abduction, well known in the philosophy of science and used in AI systems, there were three knew knowledge operators defined: knowledge extraction, knowledge generation and knowledge generation, operators that could be viewed as generalized interpretations of the standard reasoning procedures. This paper presents these new concepts and their connection, the current understanding of generalized deduction, induction and abduction and also how these operators could serve as the building blocks of universal intelligent systems

    Collaborative Environments. Considerations Concerning Some Collaborative Systems

    Get PDF
    It is obvious, that all collaborative environments (workgroups, communities of practice, collaborative enterprises) are based on knowledge and between collaboration and knowledge management there is a strong interdependence. The evolution of information systems in these collaborative environments led to the sudden necessity to adopt, for maintaining the virtual activities and processes, the latest technologies/systems, which are capable to support integrated collaboration in business services. In these environments, portal-based IT platforms will integrate multi-agent collaborative systems, collaborative tools, different enterprise applications and other useful information systems

    Some Collaborative Systems Approaches in Knowledge-Based Environments

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    About the Generalized Reasoning Methods and their Use in Semiotic Systems

    Get PDF
    In computational semiotics the problem is to emulate a semiosis cycle within a digital computer. This needs the construction of intelligent systems, able to perform intelligent behavior, such as sensorial perception, world modeling, value judgement and behavior generation. These intelligent systems could be generally implemented through object networks and the basic functions mentioned above could be obtained by generalization of some elementary knowledge operators. Based on the three main reasoning methods, deduction, induction and abduction, well known in the philosophy of science and used in AI systems, there were three knew knowledge operators defined: knowledge extraction, knowledge generation and knowledge generation, operators that could be viewed as generalized interpretations of the standard reasoning procedures. This paper presents these new concepts and their connection, the current understanding of generalized deduction, induction and abduction and also how these operators could serve as the building blocks of universal intelligent systems.Semiotic System, Knowledge Units, Deduction, Induction, Abduction

    Some Considerations About Collaborative Systems Supporting Knowledge Management in Organizations

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    In the present global economy, strongly influenced by IT (information technology) and information systems evolution, the modern organizations try to face the challenges by adjusting their strategies and restructuring their activities, for aligning them to the new economy requirements. It is certain, that the enterprise’s performance will depend on the capacity to sustain collaborative work. The evolution of information systems in these collaborative environments led to the sudden necessity to adopt, for maintaining the virtual activities/processes, the latest technologies/systems that are capable to support integrated collaboration in business services. Stating this, we mean collaborative systems of different type: conversational tools, multi-agent systems, and all these, among various enterprise applications, integrated in portal-based IT platforms. It is obvious, that all collaborative environments workgroups, practice communities, collaborative enterprises) are based on knowledge, and between collaboration and knowledge management (KM) there is a strong interdependence. Therefore, we focused on how collaborative systems are capable to sustain knowledge management and their impact on optimizing the KM life cycle. We explore some issues regarding collaborative systems and propose a portal-based IT solution that sustains the KM life cycle through a distributed architecture. All considerations have a strong research background, our portal-based proposal for sustaining knowledge management in organizations being subject of some Romanian research projects that are fitting in the European research demarches

    Morphology-based ladder network modeling of the respiratory mechanics

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    his paper attempts to simulate changes in mechanical properties of lungs trough their equivalent changes in the human respiratory input impedance. The theory of electrical transmission lines and ladder networks is used to develop an equivalent model of the respiratory system. Three typical cases are investigated: healthy, asthma and chronic obstructive pulmonary disease. Simulation results are tested on different types of ladder network cells, such as RC, RLC and various simulating conditions of the whole system. Our conclusion is that an RLC cell gives results which are comparable to real measurements from healthy, asthma, or chronic obstructive pulmonary, disease subjects and changes in the morphology

    Controlling and Monitoring Specific Hardware Resources

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    Within an agile approach, a RIA application for controlling and monitoring specific hardware will be proposed. It is always a challenge to choose the suitable technologies and IT frameworks to transform the PIM model into the PSM model of the future RIA and after that to implement the prototype. The main technological aspects are presented; the approach makes direct referees to the developed tiers of the RIA prototype

    Inverse modeling of the respiratory tree using continued fractions expansions

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    Taking into account the self-similar recursive geometrical structure of the human respiratory tree, the total respiratory impedance can be represented using an integer-order ladder network model. In this paper, the parameters of the respiratory tree are based on clinical insight and morphology. Once the transfer function of the total input impedance model is calculated, it is further interpreted in its continued fraction expansion form. The purpose is to compare the ladder network structure with the continuous fraction expansion form of the impedance. This will help its in understanding the mathematical and morphological basis for constructing a physiology-based simulator of the human lungs
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