Irina Petrova

Competency-based models of learning for engineers: a comparison

One of the goals of higher professional education is to develop generic student competencies across a variety of disciplines that play a crucial role in education and that provide wider opportunities for graduates in finding good jobs and more chance of promotion. In this article a list of generic competencies developed in Russian universities is compared with a similar list developed by a consortium of Russian and European universities (project TUNING-RUSSIA). Then there is a second comparison with a list of competencies taken from the CDIO Syllabus. This comparison indicates the degree of similarity among the lists and the possible convergence among universities all over the world. The results are taken from a survey carried out among Russian employers, academics, and graduates. The survey asked to rate each listed competence by its importance and the degree of achieving goals in the process of the education.

System of Conceptual Design Based on Energy-Informational Model

A large number of design methods were developed as a part of the science of engineering design. In recent years creation of vast knowledge bases and using ontologies for fast and relevant search became a trend in engineering design. The article demonstrates that data base on physical phenomena and effects is the key component of the conceptual design methodology. In this article we present a System for Conceptual Design Based on Energy-Informational Model (EIM). We consider designing of the knowledge base on basis of knowledge about physical effects and domain ontology. In conclusion we provide a comparison of proposed methodology with known methods: the Theory of Inventive Problem-Solving (TRIZ) and the systematic approach of Pahl and Beitz (SAPB)

Modeling of the Physical Principle of the Processes that is Occurring in Bioselective Elements

Design of biosensors refers to the field of interdisciplinary research, therefore, it is necessary to develop a unified systems approach that is invariant to the physical nature of the used phenomena and processes to create an automated system for conceptual design of such elements. It is appropriate to choose the fundamentals of non-equilibrium thermodynamics as the basis for the development of this approach. This article discusses the energy-information model of diffusion phenomena, as the processes of diffusion is the general type of the processes that is occurring in bioselective elements. A number of physical effects are described by this model. In this paper authors continue researches in the field of automation of design of biosensors which was presented at the 6th International Conference on Information, Intelligence, Systems and Applications. The new information technology of functional and structural design of biosensors is described. It is based on the energy-information model of chains, invariant to the physical nature of the processes occurring in technical devices. And it uses the device parametric structural diagrams allowing algorithmization of the search and selection of new technical solutions with estimation of their performance.

Conceptual Modeling Methodology of Multifunction Sensors on the Basis of a Fractal Approach

The problems of the multifunction sensors development make inefficient of design traditional methods application. Work purpose is an effective approach creation to the analysis and synthesis of sensors physical functional principle and creation on its basis mathematical, algorithmic and informational software for multifunction quantity sensors conceptual design automation. Authors propose the problem solution method based on fractal approach application to the theory of energy and information circuit models. For this purpose the physical functional principle sensor modeling fractal concept and mechanisms of its realization are created. This work results are new computer technique, software for the automatic synthesis of the multifunction sensors physical functional principle and two new multifunction sensors utility models automatically generated by developed software.

System of Automated Design of Biosensors

The article considers the creation of two knowledge bases on physicotechnical effects and bioreceptors, which are planned to be used at the stage of conceptual design of biosensors. About 40 physical and technical phenomena are described, a class diagram of the system of automated design of biosensors is included. The classification of physical phenomena in the knowledge base is based on the energy-information model of circuits (EIMS). The automated system for designing of biosensors will expand the amount of specialized knowledge tenfold and reduce the time of creating new solutions by two to three times by reducing the volume of prototyping and full-scale tests due to choosing more efficient options and draft calculation of the significant characteristics of their conceptual models.

Model of Decision-Making Support in Heterarchical System Management of Regional Construction Cluster

In this paper, the necessity of creation of a common information space of a regional construction cluster is justified. It is shown that the regional construction cluster is a complex heterarchical system. The heterogeneity of the information environment caused by the fact that the entities as are united in a cluster of the primary production branch, and the accompanying industries, complicates the creation of the common information space supporting activities of a cluster. The functional and information simulation of the system is executed for the purpose of formation of the integrated information and communication environment of the Astrakhan regional construction cluster. The IDEF0 notation is used for business process modeling. Information modeling is executed in the notation of DFD. The model in the IDEF3 notation and the SwimLane diagram are developed for the description of processes logic and vertical and horizontal connections between them. The created models are a basis for the construction cluster portal development.

Cognitive analysis of the heavy metals influence on the aquatic ecosystem

In this paper, a cognitive analysis of the factors of the influence of heavy metals on the aquatic ecosystem is performed. Its purpose is to simplify and to improve the efficiency of further modeling process of the aquatic ecosystems under the heavy metals influence identification on the basis of a neural network. The analysis revealed the least important factors to ignore them in the simulation.

Information intelligent model of the aquatic ecosystem state identification under the heavy metals influence

In this paper the authors have analyzed the heavy metals influence on the ichthyo fauna state and systematized it, classified the aquatic ecosystem states, developed the mathematical model for their identification based on a modified Perceptron, to create a functional and information-logical model of information system to study the heavy metals influence on the living organisms. The article presents the ongoing research in its initial stage. The model using will solve a number of problems of studies of the heavy metals influence on the living organisms in biogeochemical conditions in the Lower Volga region and improving environmental conditions.

Conceptual design of biosensors

Design of biosensors refers to the field of interdisciplinary research, therefore, it is necessary to develop a unified systems approach that is invariant to the physical nature of the used phenomena and processes to create an automated system for conceptual design of such elements. It is appropriate to choose the fundamentals of non-equilibrium thermodynamics as the basis for the development of this approach. They allow to obtain a complete system of transfer equations of the phenomena of different physical nature and other laws, without opening their molecular mechanism. This article discusses the energy-information model of diffusion phenomena, as the processes of diffusion is the general type of the processes that is occurring in bioselective elements. A number of physical effects are described by this model. They are used in the conceptual design of electrochemical biosensors.