Florin Ionescou

Fachhochschule der Wirtschaft, Paderborn, North Rhine-Westphalia, Germany

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Publications (7)3.54 Total impact

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    ABSTRACT: Many theories of reflexology use ancient concepts which do not coincide with the modern medical terminology of anatomy, physiology and biophysics. This substantially reduces the trust of physicians in reflexology methods. During this research, several mathematical models for the interaction of the internal and biological active points of meridian structures have been proposed. The analysis of these models allows the specification of a list of gastric diseases for which reflex diagnostics and reflex therapy methods are most effective and also allows increasing the effectiveness of these procedures. It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.
    No preview · Article · Jan 2012 · Computer Methods in Biomechanics and Biomedical Engineering
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    ABSTRACT: Many theories of reflexology use ancient concepts which do not coincide with the modern medical terminology of anatomy, physiology and biophysics. This substantially reduces the trust of physicians in reflexology methods. During this research, several mathematical models for the interaction of the internal and biological active points of meridian structures have been proposed. The analysis of these models allows the specification of a list of heart diseases for which reflex diagnostics and reflex therapy methods are most effective and also allows increasing the effectiveness of these procedures. It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.
    No preview · Article · Jan 2012 · Computer Methods in Biomechanics and Biomedical Engineering
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    ABSTRACT: A great number of reflexologies use ancient concepts that do not coincide with modern medical terminology of anatomy, physiology, and biophysics, substantially reducing the trust of today's physicians in this direction of their profession. Recently, several mathematical models of internal and biological active points of meridian structures interaction have been proposed. These models allowed specification of diseases for which reflex diagnostics and reflex therapy methods are most effective and also increased the efficacy of these procedures. Good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.
    Full-text · Article · Sep 2011
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    Reda Albtoush · Radu Dobrescu · Florin Ionescou
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    ABSTRACT: As result of a critical analysis of some crises and disaster management systems models from the classical and recent literature, according to different criteria such as: applicability, advantages, limitations, cost, time, geographical area, this paper aims to offer suggestions of how to implement intelligent systems for crisis and disaster management and on this basis to define the architecture of a complex multilayered emergency management system whose comprehensive mode includes risk assessment, disaster prevention, mitigation and preparedness.
    Full-text · Article · Jan 2011
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    ABSTRACT: This work presents a mathematical model that allows the determining, based on empirical input data, of a strict mathematical dependency between the percentages corresponding to the groups of subjects that compose the curriculum of the study programme “Mechatronics”. A first step in realizing the model was the selection of the significant groups of study subjects. It was considered that the division into subjects from the mechanical domain, from the electrical domain and from computer science does not sufficiently reflect the complexity and multidisciplinary character of mechatronics as study programme, so that it was opted for introducing, beneath the above-mentioned groups of subjects, a supplementary group of subjects, namely study subjects from the domain of automated control, automations and robotics. A first stage in elaborating the model was the studying of the curricula of "Mechatronics" study programmes from a significant number of universities from Romania and from abroad (Europe, United States and Canada, Middle East). This study showed that there are significant differences between the percentages of subject groups at the various universities, which indicate the fact that actually there is no unitary approach at this level, with regard to the structure of the curriculum. Moreover, it has been noticed that there exist significant differences between the percentages allocated to the various groups of disciplines even at the level of the Romanian universities, taking into account the fact that at national level there are rather strict regulations concerning the structure of the curriculum. The proposed mathematical model was realized based on the neuro-fuzzy techniques, having as input parameters the percentages of the above-mentioned subject groups and as output parameter the percentage of subjects from the domain of mechatronics. This output parameter was chosen because mechatronics, both as a science and as study programme, has since long surpassed the stage of a simple multidisciplinary mix, there existing already numerous branches of mechatronics that can be studied as independent subjects within this domain. Of course, in this case too there arises the problem of the weight these subjects should have within the curriculum, a problem to which the proposed mathematical model offers solutions. Thus, when one or several values of the input variables are modified, for various reasons, the model is able to calculate the new value of the output variable. In this manner, the balance of the curriculum, as expressed in mathematical form by the proposed model, can be preserved. The fuzzy approach to the mathematical modeling of the ratio between the subject groups offers also a high degree of flexibility. For example, if the users' experience or various benchmarks indicate the need to modify a membership function or the definition range of such a function, this can be realized easily, without affecting the model's functionality.
    Full-text · Conference Paper · Nov 2010
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    ABSTRACT: This work presents some aspects related to optimizing the curriculum for higher education, industrial engineering domain. The optimization was seen in this case from the perspective of the need to change or not to change it. Thus, a mathematical model was realized, based on the methods of fuzzy logic, which allows the analysis of the stability of the curriculum, in the context of the main disturbance factors. Within this approach, stability refers to the period of time during which it is not necessary to modify the curriculum. The objective was set based on the fact that a higher education system in general and the curricula in particular are conservative structures, so any structural change may have unforeseen effects Thus, the authors tried to realize for this situation a mathematical instrument for aiding the decision to change the curriculum or not. Due to the topic tackled in the paper, concerning the optimization of the curricular area, the information available about the studied domain has a very low degree of precision, so that the decision-making process has a high difficulty degree. Thus, it was considered that the fuzzy logic is one of the methods that could allow the realizing of mathematical model that would assist and scientifically fundament the multi-criteria decision process in optimizing the curricula. From the point of view of the input data, the mathematical model was based on information collected through questionnaire, the precision degree of which is dependent on the respondent's perception and objectivity. On the other hand, when elaborating the fuzzy-type multi-criteria decision model, one can rely on the experience of specialists in this domain, experience that can successfully replace the usage of high-complexity mathematical algorithms. Also within this work, the authors proposed a dynamic simulation diagram that, in the hypothesis of knowing the variation laws for input parameters, allows the assessment of the curriculum's stability over time.
    No preview · Conference Paper · Nov 2010
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    [Show abstract] [Hide abstract]
    ABSTRACT: This work presents some aspects related to optimizing the curriculum for higher education, industrial engineering domain. The optimization was seen in this case from the perspective of the need to change or not to change it. Thus, a mathematical model was realized, based on the methods of fuzzy logic, which allows the analysis of the stability of the curriculum, in the context of the main disturbance factors. Within this approach, stability refers to the period of time during which it is not necessary to modify the curriculum. The objective was set based on the fact that a higher education system in general and the curricula in particular are conservative structures, so any structural change may have unforeseen effects Thus, the authors tried to realize for this situation a mathematical instrument for aiding the decision to change the curriculum or not. Due to the topic tackled in the paper, concerning the optimization of the curricular area, the information available about the studied domain has a very low degree of precision, so that the decision-making process has a high difficulty degree. Thus, it was considered that the fuzzy logic is one of the methods that could allow the realizing of mathematical model that would assist and scientifically fundament the multi-criteria decision process in optimizing the curricula. From the point of view of the input data, the mathematical model was based on information collected through questionnaire, the precision degree of which is dependent on the respondent's perception and objectivity. On the other hand, when elaborating the fuzzy-type multi-criteria decision model, one can rely on the experience of specialists in this domain, experience that can successfully replace the usage of high-complexity mathematical algorithms. Also within this work, the authors proposed a dynamic simulation diagram that, in the hypothesis of knowing the variation laws for input parameters, allows the assessment of the curriculum's stability over time.
    Full-text · Conference Paper · Nov 2010